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Sample records for profile discriminant function

  1. [Objective measures for setting the processors of cochlear implant systems : Use of discrimination functions and consideration of electrode profiles].

    Science.gov (United States)

    Hoth, S; Herisanu, I; Praetorius, M

    2016-12-01

    When setting the electrical stimulation level of cochlear implants during individual adjustment of the speech processor, especially in children, objective measures such as intracochlearly measured electrically evoked compound action potentials (eCAP) and intraoperative observation of electrically elicited stapedial reflexes (eSR) are indispensable. The benefit of these objective measures is based on the correlation between the derived response thresholds and psychometric data. The amplitude growth functions of eCAPs were measured intraoperatively for all electrodes in 30 ears of adult patients. The stimulus-dependent incidence of observable eSRs was recorded for all electrodes in 16 ears of adult patients. For evaluation of the data, new algorithms were applied which allowed the determination of thresholds without intervention of the investigator. Essential features were the conversion of observations into binary variables, and the consideration of logistic discrimination functions and their exceedance of a numeric threshold criterion. Regarding the eCAP data, closer and significant correlations are observed between objective thresholds and psychometric measures in comparison to conventional procedures. Profiles are more efficient than pooled data. Significant correlations are also observed for eSR thresholds, albeit to a lesser extent and without an evident difference between profiles and pooled data. Considering the by no means consistent international literature, the results illustrate the need for a consistent definition of response thresholds and the consideration of electrode profiles.

  2. Le profil entrepreneurial : Facteur discriminant du developpement ...

    African Journals Online (AJOL)

    A partir de la base de données GEM Algérie, nous montrons que le profil entrepreneurial, en tant qu'ensemble cohérent, est un bien meilleur discriminant du niveau de développement d'une économie que la part des exportations des biens minéraux dans l'exportation totale. Nous avons trouvé qu'il était possible ...

  3. Considerations When Using Discriminant Function Analysis of Antimicrobial Resistance Profiles To Identify Sources of Fecal Contamination of Surface Water in Michigan▿

    Science.gov (United States)

    Kaneene, John B.; Miller, RoseAnn; Sayah, Raida; Johnson, Yvette J.; Gilliland, Dennis; Gardiner, Joseph C.

    2007-01-01

    The goals of this study were to (i) identify issues that affect the ability of discriminant function analysis (DA) of antimicrobial resistance profiles to differentiate sources of fecal contamination, (ii) test the accuracy of DA from a known-source library of fecal Escherichia coli isolates with isolates from environmental samples, and (iii) apply this DA to classify E. coli from surface water. A repeated cross-sectional study was used to collect fecal and environmental samples from Michigan livestock, wild geese, and surface water for bacterial isolation, identification, and antimicrobial susceptibility testing using disk diffusion for 12 agents chosen for their importance in treating E. coli infections or for their use as animal feed additives. Nonparametric DA was used to classify E. coli by source species individually and by groups according to antimicrobial exposure. A modified backwards model-building approach was applied to create the best decision rules for isolate differentiation with the smallest number of antimicrobial agents. Decision rules were generated from fecal isolates and applied to environmental isolates to determine the effectiveness of DA for identifying sources of contamination. Principal component analysis was applied to describe differences in resistance patterns between species groups. The average rate of correct classification by DA was improved by reducing the numbers of species classifications and antimicrobial agents. DA was able to correctly classify environmental isolates when fewer than four classifications were used. Water sample isolates were classified by livestock type. An evaluation of the performance of DA must take into consideration relative contributions of random chance and the true discriminatory power of the decision rules. PMID:17337537

  4. Considerations when using discriminant function analysis of antimicrobial resistance profiles to identify sources of fecal contamination of surface water in Michigan.

    Science.gov (United States)

    Kaneene, John B; Miller, RoseAnn; Sayah, Raida; Johnson, Yvette J; Gilliland, Dennis; Gardiner, Joseph C

    2007-05-01

    The goals of this study were to (i) identify issues that affect the ability of discriminant function analysis (DA) of antimicrobial resistance profiles to differentiate sources of fecal contamination, (ii) test the accuracy of DA from a known-source library of fecal Escherichia coli isolates with isolates from environmental samples, and (iii) apply this DA to classify E. coli from surface water. A repeated cross-sectional study was used to collect fecal and environmental samples from Michigan livestock, wild geese, and surface water for bacterial isolation, identification, and antimicrobial susceptibility testing using disk diffusion for 12 agents chosen for their importance in treating E. coli infections or for their use as animal feed additives. Nonparametric DA was used to classify E. coli by source species individually and by groups according to antimicrobial exposure. A modified backwards model-building approach was applied to create the best decision rules for isolate differentiation with the smallest number of antimicrobial agents. Decision rules were generated from fecal isolates and applied to environmental isolates to determine the effectiveness of DA for identifying sources of contamination. Principal component analysis was applied to describe differences in resistance patterns between species groups. The average rate of correct classification by DA was improved by reducing the numbers of species classifications and antimicrobial agents. DA was able to correctly classify environmental isolates when fewer than four classifications were used. Water sample isolates were classified by livestock type. An evaluation of the performance of DA must take into consideration relative contributions of random chance and the true discriminatory power of the decision rules.

  5. Transferability between Hospitals of Hypercalcaemia Discriminant Functions

    DEFF Research Database (Denmark)

    Frølich, Anne; McNair, Peter; Nielsen, Bo Friis

    1996-01-01

    , estimated from routine laboratory analysis, age and sex in two consecutively recorded populations with hypercalcemia including 162 and 257 patients with hypercalcemia. Discriminant functions were developed for each sex to distinguish between hypercalcemia associated with malignancy and hypercalcemia......Transferability of discriminant functions is potentially useful both from an economical point of view and because, in general, medical knowledge, in this case discriminant functions, should be transferable. In the present study we have evaluated the transferability of discriminant functions......, and increased to 83 and 89% at posterior probability levels higher than 60%. Transfer of the discrimination functions between the hospitals was followed by a decrease in diagnostic accuracy of 6-16%. At a posterior probability of 60% the diagnostic accuracies were 79% or more in the receiving hospital, in both...

  6. Discriminant profile of young adulthood driving behavior among Brazilian drivers.

    Science.gov (United States)

    Dotta-Panichi, Renata Maria; Wagner, Adriana; Sarriera, Jorge Castellá

    2013-01-01

    The aim of this article was to describe the driving behavior profile of drivers aged 18 to 25 years old. Four hundred young adults were interviewed, 320 (80%) of them male and 80 (20%) female. Cluster analysis identified a group characterized by sensation-seeking behavior (Cluster 1), a group that did not show any risky driving behavior (Cluster 2), and a group engaged in transgressive behavior and driving under the influence of alcohol and/or drugs (Cluster 3). Discriminant analysis classified successfully and correctly 81.3% of the young adults into their original profiles. Function 1 distinguished cluster 1 from clusters 2 and 3, on the basis of the following factors: higher frequency of alcohol consumption, intrusive behavior, and motorcycle riding, as well as younger age, more aggressive behavior, and lower education level. Function 2 distinguished cluster 3 from cluster 1 and 2, especially as to higher amounts of alcohol consumption, higher frequency of marijuana use and delinquent behavior, larger number of traffic tickets and motor vehicle accidents, higher paternal education level, which were the variables with discriminant values above .20. Characteristics of vulnerability were identified, especially those related to alcohol consumption, drug use, and externalizing issues.

  7. Racial discrimination, racial identity, and impostor phenomenon: A profile approach.

    Science.gov (United States)

    Bernard, Donte L; Hoggard, Lori S; Neblett, Enrique W

    2018-01-01

    This study examined the association between racial discrimination and the impostor phenomenon (IP) and the moderating influence of racial identity on this relationship. One hundred fifty-seven African American college students (68% female; mean age = 18.63) completed measures of racial discrimination, racial identity, and IP during 2 waves of data collection. Utilizing latent profile analyses, 4 patterns of racial identity were identified: Undifferentiated, Multiculturalist, Race-Focused, and Humanist. Racial discrimination predicted higher subsequent levels of IP. Racial identity did not moderate the impact of racial discrimination; however, students in the Multiculturalist and Humanist groups reported the lowest and highest levels of IP at Wave 2, respectively. IP is influenced by racial discrimination experiences as well as by the significance and meaning that individuals ascribe to being African American. (PsycINFO Database Record (c) 2018 APA, all rights reserved).

  8. Assessing the reproducibility of discriminant function analyses

    Directory of Open Access Journals (Sweden)

    Rose L. Andrew

    2015-08-01

    Full Text Available Data are the foundation of empirical research, yet all too often the datasets underlying published papers are unavailable, incorrect, or poorly curated. This is a serious issue, because future researchers are then unable to validate published results or reuse data to explore new ideas and hypotheses. Even if data files are securely stored and accessible, they must also be accompanied by accurate labels and identifiers. To assess how often problems with metadata or data curation affect the reproducibility of published results, we attempted to reproduce Discriminant Function Analyses (DFAs from the field of organismal biology. DFA is a commonly used statistical analysis that has changed little since its inception almost eight decades ago, and therefore provides an opportunity to test reproducibility among datasets of varying ages. Out of 100 papers we initially surveyed, fourteen were excluded because they did not present the common types of quantitative result from their DFA or gave insufficient details of their DFA. Of the remaining 86 datasets, there were 15 cases for which we were unable to confidently relate the dataset we received to the one used in the published analysis. The reasons ranged from incomprehensible or absent variable labels, the DFA being performed on an unspecified subset of the data, or the dataset we received being incomplete. We focused on reproducing three common summary statistics from DFAs: the percent variance explained, the percentage correctly assigned and the largest discriminant function coefficient. The reproducibility of the first two was fairly high (20 of 26, and 44 of 60 datasets, respectively, whereas our success rate with the discriminant function coefficients was lower (15 of 26 datasets. When considering all three summary statistics, we were able to completely reproduce 46 (65% of 71 datasets. While our results show that a majority of studies are reproducible, they highlight the fact that many studies

  9. Learning discriminative functional network features of schizophrenia

    Science.gov (United States)

    Gheiratmand, Mina; Rish, Irina; Cecchi, Guillermo; Brown, Matthew; Greiner, Russell; Bashivan, Pouya; Polosecki, Pablo; Dursun, Serdar

    2017-03-01

    Associating schizophrenia with disrupted functional connectivity is a central idea in schizophrenia research. However, identifying neuroimaging-based features that can serve as reliable "statistical biomarkers" of the disease remains a challenging open problem. We argue that generalization accuracy and stability of candidate features ("biomarkers") must be used as additional criteria on top of standard significance tests in order to discover more robust biomarkers. Generalization accuracy refers to the utility of biomarkers for making predictions about individuals, for example discriminating between patients and controls, in novel datasets. Feature stability refers to the reproducibility of the candidate features across different datasets. Here, we extracted functional connectivity network features from fMRI data at both high-resolution (voxel-level) and a spatially down-sampled lower-resolution ("supervoxel" level). At the supervoxel level, we used whole-brain network links, while at the voxel level, due to the intractably large number of features, we sampled a subset of them. We compared statistical significance, stability and discriminative utility of both feature types in a multi-site fMRI dataset, composed of schizophrenia patients and healthy controls. For both feature types, a considerable fraction of features showed significant differences between the two groups. Also, both feature types were similarly stable across multiple data subsets. However, the whole-brain supervoxel functional connectivity features showed a higher cross-validation classification accuracy of 78.7% vs. 72.4% for the voxel-level features. Cross-site variability and heterogeneity in the patient samples in the multi-site FBIRN dataset made the task more challenging compared to single-site studies. The use of the above methodology in combination with the fully data-driven approach using the whole brain information have the potential to shed light on "biomarker discovery" in schizophrenia.

  10. Serum Metabolomic Profiles for Human Pancreatic Cancer Discrimination

    Directory of Open Access Journals (Sweden)

    Takao Itoi

    2017-04-01

    Full Text Available This study evaluated the clinical use of serum metabolomics to discriminate malignant cancers including pancreatic cancer (PC from malignant diseases, such as biliary tract cancer (BTC, intraductal papillary mucinous carcinoma (IPMC, and various benign pancreaticobiliary diseases. Capillary electrophoresismass spectrometry was used to analyze charged metabolites. We repeatedly analyzed serum samples (n = 41 of different storage durations to identify metabolites showing high quantitative reproducibility, and subsequently analyzed all samples (n = 140. Overall, 189 metabolites were quantified and 66 metabolites had a 20% coefficient of variation and, of these, 24 metabolites showed significant differences among control, benign, and malignant groups (p < 0.05; Steel–Dwass test. Four multiple logistic regression models (MLR were developed and one MLR model clearly discriminated all disease patients from healthy controls with an area under receiver operating characteristic curve (AUC of 0.970 (95% confidential interval (CI, 0.946–0.994, p < 0.0001. Another model to discriminate PC from BTC and IPMC yielded AUC = 0.831 (95% CI, 0.650–1.01, p = 0.0020 with higher accuracy compared with tumor markers including carcinoembryonic antigen (CEA, carbohydrate antigen 19-9 (CA19-9, pancreatic cancer-associated antigen (DUPAN2 and s-pancreas-1 antigen (SPAN1. Changes in metabolomic profiles might be used to screen for malignant cancers as well as to differentiate between PC and other malignant diseases.

  11. Discriminant function for classification of genuine and counterfeit ...

    African Journals Online (AJOL)

    A derivation of the appropriate measure of the separation of the two groups was made. Discriminant analysis technique was used to construct a discriminant function. Test for the significance of differences between the mean values of the variables for each of the two groups (counterfeit and genuine) of the ₦1000 notes was ...

  12. Airline price discrimination : a practice of yield management or customer profiling?

    NARCIS (Netherlands)

    Constantinides, Efthymios; Diercks, Rasha H.J.

    2014-01-01

    Airline ticket prices frequently change, which is usually caused by yield management as price discrimination practice. Recently, buyers of online airline tickets tend to complain about price discrimination based on customer profiling, e.g. by means of cookie data. As cookie data and other directly

  13. Discriminant Profile of Young Internet Dependents: The Role of Family Relationships

    National Research Council Canada - National Science Library

    Michele Terres-Trindade; Clarisse Pereira Mosmann

    2015-01-01

    .... This research aimed to outline a discriminant profile of young people classified as dependent and not dependent on the Internet regarding to socio-biodemographic variables to parenting practices...

  14. Discriminant Function Analysis as a Proof for Sexual Dimorphism ...

    African Journals Online (AJOL)

    Background: Forensic scientists study human skeleton in legal setting. Discriminant function analysis has become important in forensic anthropology. The aim of this study was to determine the sex of adolescent Yoruba ethnic group of Nigeria using iscriminant function analysis. Methodology: One thousand (500 males and ...

  15. Learned pattern recognition using synthetic-discriminant-functions

    Science.gov (United States)

    Jared, David A.; Ennis, David J.

    1986-01-01

    A method of using synthetic-discriminant-functions to facilitate learning in a pattern recognition system is discussed. Learning is accomplished by continually adding images to the training set used for synthetic discriminant functions (SDF) construction. Object identification is performed by efficiently searching a library of SDF filters for the maximum optical correlation. Two library structures are discussed - binary tree and multilinked graph - along with maximum ascent, back-tracking, perturbation, and simulated annealing searching techniques. By incorporating the distortion invariant properties of SDFs within a library structure, a robust pattern recognition system can be produced.

  16. Functional discrimination of membrane proteins using machine learning techniques

    Directory of Open Access Journals (Sweden)

    Yabuki Yukimitsu

    2008-03-01

    Full Text Available Abstract Background Discriminating membrane proteins based on their functions is an important task in genome annotation. In this work, we have analyzed the characteristic features of amino acid residues in membrane proteins that perform major functions, such as channels/pores, electrochemical potential-driven transporters and primary active transporters. Results We observed that the residues Asp, Asn and Tyr are dominant in channels/pores whereas the composition of hydrophobic residues, Phe, Gly, Ile, Leu and Val is high in electrochemical potential-driven transporters. The composition of all the amino acids in primary active transporters lies in between other two classes of proteins. We have utilized different machine learning algorithms, such as, Bayes rule, Logistic function, Neural network, Support vector machine, Decision tree etc. for discriminating these classes of proteins. We observed that most of the algorithms have discriminated them with similar accuracy. The neural network method discriminated the channels/pores, electrochemical potential-driven transporters and active transporters with the 5-fold cross validation accuracy of 64% in a data set of 1718 membrane proteins. The application of amino acid occurrence improved the overall accuracy to 68%. In addition, we have discriminated transporters from other α-helical and β-barrel membrane proteins with the accuracy of 85% using k-nearest neighbor method. The classification of transporters and all other proteins (globular and membrane showed the accuracy of 82%. Conclusion The performance of discrimination with amino acid occurrence is better than that with amino acid composition. We suggest that this method could be effectively used to discriminate transporters from all other globular and membrane proteins, and classify them into channels/pores, electrochemical and active transporters.

  17. Discriminant analysis of functional optical topography for schizophrenia diagnosis

    Science.gov (United States)

    Chuang, Ching-Cheng; Nakagome, Kazuyuki; Pu, Shenghong; Lan, Tsuo-Hung; Lee, Chia-Yen; Sun, Chia-Wei

    2014-01-01

    Abnormal prefrontal function plays a central role in the cognition deficits of schizophrenic patients; however, the character of the relationship between discriminant analysis and prefrontal activation remains undetermined. Recently, evidence of low prefrontal cortex (PFC) activation in individuals with schizophrenia has also been found during verbal fluency tests (VFT) and other cognitive tests with several neuroimaging methods. The purpose of this study is to assess the hemodynamic changes of the PFC and discriminant analysis between schizophrenia patients and healthy controls during VFT task by utilizing functional optical topography. A total of 99 subjects including 53 schizophrenic patients and 46 age- and gender-matched healthy controls were studied. The results showed that the healthy group had larger activation in the right and left PFC than in the middle PFC. Besides, the schizophrenic group showed weaker task performance and lower activation in the whole PFC than the healthy group. The result of the discriminant analysis showed a significant difference with P value discriminant analysis of schizophrenic diagnosis.

  18. Dynamic functional brain networks involved in simple visual discrimination learning.

    Science.gov (United States)

    Fidalgo, Camino; Conejo, Nélida María; González-Pardo, Héctor; Arias, Jorge Luis

    2014-10-01

    Visual discrimination tasks have been widely used to evaluate many types of learning and memory processes. However, little is known about the brain regions involved at different stages of visual discrimination learning. We used cytochrome c oxidase histochemistry to evaluate changes in regional brain oxidative metabolism during visual discrimination learning in a water-T maze at different time points during training. As compared with control groups, the results of the present study reveal the gradual activation of cortical (prefrontal and temporal cortices) and subcortical brain regions (including the striatum and the hippocampus) associated to the mastery of a simple visual discrimination task. On the other hand, the brain regions involved and their functional interactions changed progressively over days of training. Regions associated with novelty, emotion, visuo-spatial orientation and motor aspects of the behavioral task seem to be relevant during the earlier phase of training, whereas a brain network comprising the prefrontal cortex was found along the whole learning process. This study highlights the relevance of functional interactions among brain regions to investigate learning and memory processes. Copyright © 2014 Elsevier Inc. All rights reserved.

  19. Brain motor functional changes after somatosensory discrimination training.

    Science.gov (United States)

    Sarasso, Elisabetta; Agosta, Federica; Temporiti, Federico; Adamo, Paola; Piccolo, Fabio; Copetti, Massimiliano; Gatti, Roberto; Filippi, Massimo

    2017-08-31

    Somatosensory discrimination training may modulate cognitive processes, such as movement planning and monitoring, which can be useful during active movements. The aim of the study was to assess the effect of somatosensory discrimination training on brain functional activity using functional magnetic resonance imaging (fMRI) during motor and sensory tasks in healthy subjects. Thirty-nine healthy young subjects were randomized into two groups: the experimental group underwent somatosensory discrimination training consisting of shape, surface and two-point distance discrimination; and the control group performed a simple object manipulation. At baseline and after 2 weeks of training, subjects underwent sensorimotor evaluations and fMRI tasks consisting of right-hand tactile stimulation, manipulation of a simple object, and complex right-hand motor sequence execution. Right-hand dexterity improved in both groups, but only the experimental group showed improvements in all manual dexterity tests. After training, the experimental group showed: decreased activation of the ipsilateral sensorimotor areas during the tactile stimulation task; increased activation of the contralateral postcentral gyrus and thalamus bilaterally during the manipulation task; and a reduced recruitment of the ipsilateral pre/postcentral gyri and an increased activation of the basal ganglia and cerebellum contralaterally during the complex right-hand motor task. In healthy subjects, sensory discrimination training was associated with lateralization of brain activity in sensorimotor areas during sensory and motor tasks. Further studies are needed to investigate the usefulness of this training in motor rehabilitation of patients with focal lesions in the central nervous system.

  20. Free choice profiling sensory analysis to discriminate coffees

    Directory of Open Access Journals (Sweden)

    Cíntia Sorane Good Kitzberger

    2016-12-01

    Full Text Available Sensory attributes were evaluated from Arabica coffee genotypes growing in two places in Brazil, Mandaguari and Londrina. Post-harvest and roasted process was standardized. Free choice profiling sensory analysis was apply to investigate the influence of genetic variability and local cultivation (Londrina and Mandaguari, Brazil on the sensory characteristics of coffee genotypes. A sensory panel evaluated coffees from Mandaguari in two groups: one (Sarchimor derived, IPR100, IPR102, IPR105, IPR106 characterized by transparency, coffee colour, green aroma, taste (green, bitter, fermented, astringent and a watery texture, another group (Catuaí, Sarchimor derived, IPR101, IPR103 was characterized by coffee colour, brightness, aroma (coffee, acid, sweet, chocolate, acidity, bitterness, burnt aroma, sweetness and full-bodied. Coffees from Londrina presented brightness, coffee colour, sweet, green, burnt aroma, astringent, bitter, fermented, green taste; and watery texture (Catuaí, IPR97, IPR98, IPR100. Another group (Sarchimor derived, IPR101, IPR102, IPR103, IPR105, IPR106 were associated with turbidity, aroma (green, coffee, sweet, acidity, astringency, bitterness, sweetness and full-bodied. Catuaí, Iapar59, IPR99, IPR101, IPR103 and IPR108 exhibited positive attributes when grown in either locale. Edaphoclimatic conditions play a major role in the sensory profiles of coffee.

  1. Human blood dendritic cell subsets exhibit discriminative pattern recognition receptor profiles

    Science.gov (United States)

    Lundberg, Kristina; Rydnert, Frida; Greiff, Lennart; Lindstedt, Malin

    2014-01-01

    Dendritic cells (DCs) operate as the link between innate and adaptive immunity. Their expression of pattern recognition receptors (PRRs), such as Toll-like receptors (TLRs) and C-type lectin receptors (CLRs), enables antigen recognition and mediates appropriate immune responses. Distinct subsets of human DCs have been identified; however their expression of PRRs is not fully clarified. Expressions of CLRs by DC subpopulations, in particular, remain elusive. This study aimed to identify and compare PRR expressions on human blood DC subsets, including CD1c+, CD141+ and CD16+ myeloid DCs and CD123+ plasmacytoid DCs, in order to understand their capacity to recognize different antigens as well as their responsiveness to PRR-directed targeting. Whole blood was obtained from 13 allergic and six non-allergic individuals. Mononuclear cells were purified and multi-colour flow cytometry was used to assess the expression of 10 CLRs and two TLRs on distinct DC subsets. PRR expression levels were shown to differ between DC subsets for each PRR assessed. Furthermore, principal component analysis and random forest test demonstrated that the PRR profiles were discriminative between DC subsets. Interestingly, CLEC9A was expressed at lower levels by CD141+ DCs from allergic compared with non-allergic donors. The subset-specific PRR expression profiles suggests individual responsiveness to PRR-targeting and supports functional specialization. PMID:24444310

  2. Random search optimization based on genetic algorithm and discriminant function

    Science.gov (United States)

    Kiciman, M. O.; Akgul, M.; Erarslanoglu, G.

    1990-01-01

    The general problem of optimization with arbitrary merit and constraint functions, which could be convex, concave, monotonic, or non-monotonic, is treated using stochastic methods. To improve the efficiency of the random search methods, a genetic algorithm for the search phase and a discriminant function for the constraint-control phase were utilized. The validity of the technique is demonstrated by comparing the results to published test problem results. Numerical experimentation indicated that for cases where a quick near optimum solution is desired, a general, user-friendly optimization code can be developed without serious penalties in both total computer time and accuracy.

  3. Sexing California gulls using morphometrics and discriminant function analysis

    Science.gov (United States)

    Herring, Garth; Ackerman, Joshua T.; Eagles-Smith, Collin A.; Takekawa, John Y.

    2010-01-01

    A discriminant function analysis (DFA) model was developed with DNA sex verification so that external morphology could be used to sex 203 adult California Gulls (Larus californicus) in San Francisco Bay (SFB). The best model was 97% accurate and included head-to-bill length, culmen depth at the gonys, and wing length. Using an iterative process, the model was simplified to a single measurement (head-to-bill length) that still assigned sex correctly 94% of the time. A previous California Gull sex determination model developed for a population in Wyoming was then assessed by fitting SFB California Gull measurement data to the Wyoming model; this new model failed to converge on the same measurements as those originally used by the Wyoming model. Results from the SFB discriminant function model were compared to the Wyoming model results (by using SFB data with the Wyoming model); the SFB model was 7% more accurate for SFB California gulls. The simplified DFA model (head-to-bill length only) provided highly accurate results (94%) and minimized the measurements and time required to accurately sex California Gulls.

  4. Discriminant Profile of Young Internet Dependents: The Role of Family Relationships

    Directory of Open Access Journals (Sweden)

    Michele Terres-Trindade

    2015-12-01

    Full Text Available AbstractInternational studies have shown effects of family relations on Internet addiction in young people. This research aimed to outline a discriminant profile of young people classified as dependent and not dependent on the Internet regarding to socio-biodemographic variables to parenting practices, parent-child conflict and interparental conflict. The sample consisted of 200 students (152 girls and 48 boys, between 15 and 24 years of age, 85.5% reside in Rio Grande do Sul and 14.5% in other Brazilian states. Participants responded individually to the protocol available online. The results showed that interparental conflict, parent-child conflict and the educational practice of supervision of paternal behavior discriminate dependents on Internet. The educational practice of maternal emotional support was the only discriminating variable for non-dependents. These national findings corroborate the international context studies and reinforce the importance of including the family in promotion and prevention of mental health of young people.

  5. Identification of discriminant proteins through antibody profiling, methods and apparatus for identifying an individual

    Energy Technology Data Exchange (ETDEWEB)

    Apel, William A.; Thompson, Vicki S; Lacey, Jeffrey A.; Gentillon, Cynthia A.

    2016-08-09

    A method for determining a plurality of proteins for discriminating and positively identifying an individual based from a biological sample. The method may include profiling a biological sample from a plurality of individuals against a protein array including a plurality of proteins. The protein array may include proteins attached to a support in a preselected pattern such that locations of the proteins are known. The biological sample may be contacted with the protein array such that a portion of antibodies in the biological sample reacts with and binds to the proteins forming immune complexes. A statistical analysis method, such as discriminant analysis, may be performed to determine discriminating proteins for distinguishing individuals. Proteins of interest may be used to form a protein array. Such a protein array may be used, for example, to compare a forensic sample from an unknown source with a sample from a known source.

  6. Identification of discriminant proteins through antibody profiling, methods and apparatus for identifying an individual

    Science.gov (United States)

    Thompson, Vicki S; Lacey, Jeffrey A; Gentillon, Cynthia A; Apel, William A

    2015-03-03

    A method for determining a plurality of proteins for discriminating and positively identifying an individual based from a biological sample. The method may include profiling a biological sample from a plurality of individuals against a protein array including a plurality of proteins. The protein array may include proteins attached to a support in a preselected pattern such that locations of the proteins are known. The biological sample may be contacted with the protein array such that a portion of antibodies in the biological sample reacts with and binds to the proteins forming immune complexes. A statistical analysis method, such as discriminant analysis, may be performed to determine discriminating proteins for distinguishing individuals. Proteins of interest may be used to form a protein array. Such a protein array may be used, for example, to compare a forensic sample from an unknown source with a sample from a known source.

  7. Discrimination and Privacy in the Information Society Data Mining and Profiling in Large Databases

    CERN Document Server

    Calders, Toon; Schermer, Bart; Zarsky, Tal

    2013-01-01

    Vast amounts of data are nowadays collected, stored and processed, in an effort to assist in  making a variety of administrative and governmental decisions. These innovative steps considerably improve the speed, effectiveness and quality of decisions. Analyses are increasingly performed by data mining and profiling technologies that statistically and automatically determine patterns and trends. However, when such practices lead to unwanted or unjustified selections, they may result in unacceptable forms of  discrimination. Processing vast amounts of data may lead to situations in which data controllers know many of the characteristics, behaviors and whereabouts of people. In some cases, analysts might know more about individuals than these individuals know about themselves. Judging people by their digital identities sheds a different light on our views of privacy and data protection. This book discusses discrimination and privacy issues related to data mining and profiling practices. It provides technologic...

  8. Vitamin E profile as a reliable authenticity discrimination factor between chestnut (Castanea sativa Mill.) cultivars.

    Science.gov (United States)

    Barreira, João C M; Alves, Rita C; Casal, Susana; Ferreira, Isabel C F R; Oliveira, M Beatriz P P; Pereira, José Alberto

    2009-06-24

    In this study, the profile of tocopherols and tocotrienols in chestnut ( Castanea sativa Mill.) kernel oil was evaluated. Four Portuguese chestnut varieties were selected: Aveleira, Boaventura, Judia, and Longal. The vitamin E determination had already been applied to similar matrices, but, to the authors' knowledge, it is the first time that chestnut kernel oil has been evaluated. The prevalent vitamer was gamma-tocopherol, often present in trace amounts in other natural products. Due to the high commercial value of chestnut, a statistical analysis of the obtained results was also conducted to define the tocopherol and tocotrienol profile as a reliable indicator of a specific chestnut variety. To achieve this objective, an analysis of variance was performed to evaluate the accuracy of the method as well as the uniformity of results for each variety. A discriminant analysis was also carried out revealing quite satisfactory results. Four varieties were clustered in four individual groups through the definition of two discriminant analysis dimensions.

  9. Profiles of acculturation among Hispanics in the United States: links with discrimination and substance use.

    Science.gov (United States)

    Salas-Wright, Christopher P; Clark, Trenette T; Vaughn, Michael G; Córdova, David

    2015-01-01

    Recent research suggests that acculturation is a multifaceted construct with implications for substance use among Hispanics. However, few, if any, studies examining profiles of acculturation have been conducted using national samples. Moreover, no cluster-based studies have examined how acculturation relates to discrimination and substance use disorders among Hispanics in the United States. The present study, employing Wave 2 data on Hispanics (n = 6,359) from the National Epidemiologic Survey of Alcohol and Related Conditions, aims to address these gaps. We use latent profile analysis to identify profiles of acculturation among Hispanics in the United States and, in turn, examine the relationships between membership in these profiles and experiences of discrimination and the prevalence of substance use disorders. A five-class solution was the optimal modeling of the data. Classes were identified as Class 1: Spanish-dominant/strongly separated (17 %), Class 2: Spanish-dominant/separated (18 %), Class 3: bilingual/bicultural (33 %), Class 4: English-dominant/bicultural (16 %), and Class 5: English-dominant/assimilated (16 %). Bilingual/bicultural Hispanics (Class 3) reported the highest prevalence of discrimination (31 %). Spanish-language dominant Hispanics (Classes 1 and 2) reported the lowest prevalence of substance use disorders. Significant differences in the prevalence of substance use disorders were observed between the bilingual/bicultural (Class 3) and English-dominant/assimilated classes (Class 5), but no differences were noted between the two English-dominant classes (Classes 4 and 5). Study findings indicate that acculturation is heterogeneous in its expression among Hispanics and suggest that Hispanics who maintain their Spanish-language capacity are at a substantially lower risk for a variety of substance use disorders.

  10. Further reliability, convergent and discriminant validity of overall defensive functioning.

    Science.gov (United States)

    Hilsenroth, Mark J; Callahan, Kelley L; Eudell, Erin M

    2003-11-01

    The reliability, convergent and discriminant validity of the Defensive Functioning Scale (DFS) and the overall defensive functioning score (ODF) has been previously examined. This study aims to address gaps in the literature as well as to replicate and extend the initial positive clinical validity data emerging on the DFS ( Blais et al., 1996; Hoglend and Perry, 1998; Lingiardi et al., 1999; Perry 2001; Perry and Hoglend, 1998; Perry et al., 1998). Fifty-three outpatient clients were rated by clinicians trained on the DFS. The relationship between the ODF with both clinician-rated and self-report measures of psychopathology was examined. The mean interrater reliability for the DFS levels rated in this study was found to be moderate to high, and reliability for the ODF score was found to be excellent. Coefficient alpha of individual defense levels as well as across the entire DFS indicated high levels of internal consistency. Factor analysis revealed that the ODF represents a construct different from various aspects of patient self-report and clinician ratings of psychopathology. These results provide further support for the clinical application and relevance of the DFS system.

  11. Sex determination from the talus in a contemporary Greek population using discriminant function analysis.

    Science.gov (United States)

    Peckmann, Tanya R; Orr, Kayla; Meek, Susan; Manolis, Sotiris K

    2015-07-01

    The determination of sex is an important part of building the biological profile for unknown human remains. Many of the bones traditionally used for the determination of sex are often found fragmented or incomplete in forensic and archaeological cases. The goal of the present research was to derive discriminant function equations from the talus, a preservationally favoured bone, for sexing skeletons from a contemporary Greek population. Nine parameters were measured on 182 individuals (96 males and 86 females) from the University of Athens Human Skeletal Reference Collection. The individuals ranged in age from 20 to 99 years old. The statistical analyses showed that all measured parameters were sexually dimorphic. Discriminant function score equations were generated for use in sex determination. The average accuracy of sex classification ranged from 65.2% to 93.4% for the univariate analysis, 90%-96.5% for the direct method and 86.7% for the stepwise method. Comparisons to other populations were made. Overall, the cross-validated accuracies ranged from 65.5% to 83.2% and males were most often correctly identified. The talus was shown to be useful for sex determination in the modern Greek population. Copyright © 2015 Elsevier Ltd and Faculty of Forensic and Legal Medicine. All rights reserved.

  12. Profiling the ionome of rice and its use in discriminating geographical origins at the regional scale, China.

    Science.gov (United States)

    Li, Gang; Nunes, Luis; Wang, Yijie; Williams, Paul N; Zheng, Maozhong; Zhang, Qiufang; Zhu, Yongguan

    2013-01-01

    Element profile was investigated for their use to trace the geographical origin of rice (Oryza sativa L.) samples. The concentrations of 13 elements (calcium (Ca), potassium (K), magnesium (Mg), phosphorus (P), boron (B), manganese (Mn), iron (Fe), nickel (Ni), copper (Cu), arsenic (As), selenium (Se), molybdenum (Mo), and cadmium (Cd)) were determined in the rice samples by inductively coupled plasma optical emission and mass spectrometry. Most of the essential elements for human health in rice were within normal ranges except for Mo and Se. Mo concentrations were twice as high as those in rice from Vietnam and Spain. Meanwhile, Se concentrations were three times lower in the whole province compared to the Chinese average level of 0.088 mg/kg. About 12% of the rice samples failed the Chinese national food safety standard of 0.2 mg/kg for Cd. Combined with the multi-elemental profile in rice, the principal component analysis (PCA), discriminant function analysis (DFA) and Fibonacci index analysis (FIA) were applied to discriminate geographical origins of the samples. Results indicated that the FIA method could achieve a more effective geographical origin classification compared with PCA and DFA, due to its efficiency in making the grouping even when the elemental variability was so high that PCA and DFA showed little discriminatory power. Furthermore, some elements were identified as the most powerful indicators of geographical origin: Ca, Ni, Fe and Cd. This suggests that the newly established methodology of FIA based on the ionome profile can be applied to determine the geographical origin of rice.

  13. Do seasonal profiles of foliar pigments improve species discrimination of evergreen coastal tree species in KwaZulu- Natal, South Africa?

    CSIR Research Space (South Africa)

    Van Deventer, Heidi

    2013-04-01

    Full Text Available pigments, as well as improve species discrimination. This study investigated the potential of seasonal pigment profiles (for foliar carotenoid and total chlorophyll) in improving species discrimination for trees using leaf spectral data. Our aims were to (i...

  14. Discriminating Bacteria with Optical Sensors Based on Functionalized Nanoporous Xerogels

    Directory of Open Access Journals (Sweden)

    Sabine Crunaire

    2014-06-01

    Full Text Available An innovative and low-cost method is proposed for the detection and discrimination of indole-positive pathogen bacteria. The method allows the non-invasive detection of gaseous indole, released by bacteria, with nanoporous colorimetric sensors. The innovation comes from the use of nanoporous matrices doped with 4-(dimethylamino-cinnamaldehyde, which act as sponges to trap and concentrate the targeted analyte and turn from transparent to dark green, long before the colonies get visible with naked eyes. With such sensors, it was possible to discriminate E. coli from H. alvei, two indole-positive and negative bacteria after seven hours of incubation.

  15. Functional analysis techniques to improve similarity matrices in discrimination problems

    NARCIS (Netherlands)

    Gonzalez, Javier; Munoz, Alberto

    In classification problems an appropriate choice of the data similarity measure is a key step to guarantee the success of discrimination procedures. In this work, we propose a general methodology to transform the available data similarity S, incorporating the data labels, to improve the performance

  16. Discriminability of personality profiles in isolated and Co-morbid marijuana and nicotine users.

    Science.gov (United States)

    Ketcherside, Ariel; Jeon-Slaughter, Haekyung; Baine, Jessica L; Filbey, Francesca M

    2016-04-30

    Specific personality traits have been linked with substance use disorders (SUDs), genetic mechanisms, and brain systems. Thus, determining the specificity of personality traits to types of SUD can advance the field towards defining SUD endophenotypes as well as understanding the brain systems involved for the development of novel treatments. Disentangling these factors is particularly important in highly co morbid SUDs, such as marijuana and nicotine use, so treatment can occur effectively for both. This study evaluated personality traits that distinguish isolated and co-morbid use of marijuana and nicotine. To that end, we collected the NEO Five Factor Inventory in participants who used marijuana-only (n=59), nicotine-only (n=27), both marijuana and nicotine (n=28), and in non-using controls (n=28). We used factor analyses to identify personality profiles, which are linear combinations of the five NEO Factors. We then conducted Receiver Operating Characteristics (ROC) curve analysis to test accuracy of the personality factors in discriminating isolated and co-morbid marijuana and nicotine users from each other. ROC curve analysis distinguished the four groups based on their NEO personality patterns. Results showed that NEO Factor 2 (openness, extraversion, agreeableness) discriminated marijuana and marijuana+nicotine users from controls and nicotine-only users with high predictability. Additional ANOVA results showed that the openness dimension discriminated marijuana users from nicotine users. These findings suggest that personality dimensions distinguish marijuana users from nicotine users and should be considered in prevention strategies. Copyright © 2016 The Authors. Published by Elsevier Ireland Ltd.. All rights reserved.

  17. Assessment of Differential Item Functioning in the Experiences of Discrimination Index

    Science.gov (United States)

    Cunningham, Timothy J.; Berkman, Lisa F.; Gortmaker, Steven L.; Kiefe, Catarina I.; Jacobs, David R.; Seeman, Teresa E.; Kawachi, Ichiro

    2011-01-01

    The psychometric properties of instruments used to measure self-reported experiences of discrimination in epidemiologic studies are rarely assessed, especially regarding construct validity. The authors used 2000–2001 data from the Coronary Artery Risk Development in Young Adults (CARDIA) Study to examine differential item functioning (DIF) in 2 versions of the Experiences of Discrimination (EOD) Index, an index measuring self-reported experiences of racial/ethnic and gender discrimination. DIF may confound interpretation of subgroup differences. Large DIF was observed for 2 of 7 racial/ethnic discrimination items: White participants reported more racial/ethnic discrimination for the “at school” item, and black participants reported more racial/ethnic discrimination for the “getting housing” item. The large DIF by race/ethnicity in the index for racial/ethnic discrimination probably reflects item impact and is the result of valid group differences between blacks and whites regarding their respective experiences of discrimination. The authors also observed large DIF by race/ethnicity for 3 of 7 gender discrimination items. This is more likely to have been due to item bias. Users of the EOD Index must consider the advantages and disadvantages of DIF adjustment (omitting items, constructing separate measures, and retaining items). The EOD Index has substantial usefulness as an instrument that can assess self-reported experiences of discrimination. PMID:22038104

  18. The reliability of morphometric discriminant functions in determining the sex of Chilean flamingos Phoenicopterus chilensis

    OpenAIRE

    Diego MONTALTI et al

    2012-01-01

    Monomorphic birds cannot be sexed visually and discriminant functions on the basis of external morphological variations are frequently used. Our objective was to evaluate the reliability of sex classification functions created from structural measurements of Chilean flamingos Phoenicopterus chilensis museum skins for the gender assignment of live birds. Five measurements were used to develop four discriminant functions: culmen, bill height and width, tarsus length and middle toe claw. The fun...

  19. Genomic expression and single-nucleotide polymorphism profiling discriminates chromophobe renal cell carcinoma and oncocytoma

    Directory of Open Access Journals (Sweden)

    Thiounn Nicolas

    2010-05-01

    immunohistochemical markers effectively discriminating the two pathologic entities. Conclusions Gene expression profiles, high-throughput SNP genotyping, and pathway analysis effectively distinguish chRCC from oncocytoma. We have generated a novel transcript predictor that is able to discriminate between the two entities accurately, and which has been validated both in an internal and an independent data-set, implying generalizability. A cytogenetic alteration, loss of chromosome 1p, common to renal oncocytoma and chRCC has been identified, providing the opportunities for identifying novel tumor suppressor genes and we have identified a series of immunohistochemical markers that are clinically useful in discriminating chRCC and oncocytoma.

  20. Genomic expression and single-nucleotide polymorphism profiling discriminates chromophobe renal cell carcinoma and oncocytoma.

    Science.gov (United States)

    Tan, Min-Han; Wong, Chin Fong; Tan, Hwei Ling; Yang, Ximing J; Ditlev, Jonathon; Matsuda, Daisuke; Khoo, Sok Kean; Sugimura, Jun; Fujioka, Tomoaki; Furge, Kyle A; Kort, Eric; Giraud, Sophie; Ferlicot, Sophie; Vielh, Philippe; Amsellem-Ouazana, Delphine; Debré, Bernard; Flam, Thierry; Thiounn, Nicolas; Zerbib, Marc; Benoît, Gérard; Droupy, Stéphane; Molinié, Vincent; Vieillefond, Annick; Tan, Puay Hoon; Richard, Stéphane; Teh, Bin Tean

    2010-05-12

    Chromophobe renal cell carcinoma (chRCC) and renal oncocytoma are two distinct but closely related entities with strong morphologic and genetic similarities. While chRCC is a malignant tumor, oncocytoma is usually regarded as a benign entity. The overlapping characteristics are best explained by a common cellular origin, and the biologic differences between chRCC and oncocytoma are therefore of considerable interest in terms of carcinogenesis, diagnosis and clinical management. Previous studies have been relatively limited in terms of examining the differences between oncocytoma and chromophobe RCC. Gene expression profiling using the Affymetrix HGU133Plus2 platform was applied on chRCC (n = 15) and oncocytoma specimens (n = 15). Supervised analysis was applied to identify a discriminatory gene signature, as well as differentially expressed genes. High throughput single-nucleotide polymorphism (SNP) genotyping was performed on independent samples (n = 14) using Affymetrix GeneChip Mapping 100 K arrays to assess correlation between expression and gene copy number. Immunohistochemical validation was performed in an independent set of tumors. A novel 14 probe-set signature was developed to classify the tumors internally with 93% accuracy, and this was successfully validated on an external data-set with 94% accuracy. Pathway analysis highlighted clinically relevant dysregulated pathways of c-erbB2 and mammalian target of rapamycin (mTOR) signaling in chRCC, but no significant differences in p-AKT or extracellular HER2 expression was identified on immunohistochemistry. Loss of chromosome 1p, reflected in both cytogenetic and expression analysis, is common to both entities, implying this may be an early event in histogenesis. Multiple regional areas of cytogenetic alterations and corresponding expression biases differentiating the two entities were identified. Parafibromin, aquaporin 6, and synaptogyrin 3 were novel immunohistochemical markers effectively discriminating

  1. Sensitivity of Ocean Reflectance Inversion Models for Identifying and Discriminating Between Phytoplankton Functional Groups

    Science.gov (United States)

    Werdell, P. Jeremy; Ooesler, Collin S.

    2012-01-01

    The daily, synoptic images provided by satellite ocean color instruments provide viable data streams for observing changes in the biogeochemistrY of marine ecosystems. Ocean reflectance inversion models (ORMs) provide a common mechanism for inverting the "color" of the water observed a satellite into marine inherent optical properties (lOPs) through a combination of empiricism and radiative transfer theory. lOPs, namely the spectral absorption and scattering characteristics of ocean water and its dissolved and particulate constituents, describe the contents of the upper ocean, information critical for furthering scientific understanding of biogeochemical oceanic processes. Many recent studies inferred marine particle sizes and discriminated between phytoplankton functional groups using remotely-sensed lOPs. While all demonstrated the viability of their approaches, few described the vertical distributions of the water column constituents under consideration and, thus, failed to report the biophysical conditions under which their model performed (e.g., the depth and thickness of the phytoplankton bloom(s)). We developed an ORM to remotely identifY Noctiluca miliaris and other phytoplankton functional types using satellite ocean color data records collected in the northern Arabian Sea. Here, we present results from analyses designed to evaluate the applicability and sensitivity of the ORM to varied biophysical conditions. Specifically, we: (1) synthesized a series of vertical profiles of spectral inherent optical properties that represent a wide variety of bio-optical conditions for the northern Arabian Sea under aN Miliaris bloom; (2) generated spectral remote-sensing reflectances from these profiles using Hydrolight; and, (3) applied the ORM to the synthesized reflectances to estimate the relative concentrations of diatoms and N Miliaris for each example. By comparing the estimates from the inversion model to those from synthesized vertical profiles, we were able to

  2. Discriminating patients with early-stage pancreatic cancer or chronic pancreatitis using serum electrospray mass profiling

    Science.gov (United States)

    Hocker, James R.; Postier, Russell G.; Li, Min; Lerner, Megan R.; Lightfoot, Stan A.; Peyton, Marvin D.; Deb, Subrato J.; Baker, Candace M.; Williams, Travis L.; Hanas, Rushie Jane; Stowell, Donald E.; Lander, Theresa J.; Brackett, Daniel J.; Hanas, Jay S.

    2015-01-01

    Blood tests are needed to aid in the early detection of pancreatic ductal adenocarcinoma (PDAC), and monitoring pancreatitis development into malignancy especially in high risk patients. This study exhibits efforts and progress toward developing such blood tests, using electrospray-mass spectrometry (MS) serum profiling to distinguish patients with early-stage PDAC or pancreatitis from each other and from controls. Identification of significant serum mass peak differences between these individuals was performed using t tests and “leave one out” cross validation. Serum mass peak distributions of control individuals were distinguished from those of patients with chronic pancreatitis or early-stage PDAC with P values early-stage PDAC with a P value stages I, IIA and IIB were blindly validated from controls. Tandem MS/MS identified a cancer phenotype with elements of PDAC involved in early-stage PDAC/control discrimination. These studies indicate electrospray-MS mass profiling can detect serum changes in patients with pancreatitis or early-stage pancreatic cancer. Such technology has the potential to aid in early detection of pancreatic cancer, biomarker development, and in monitoring development of pancreatitis into PDAC. PMID:25637792

  3. Effect of ice massage on lower extremity functional performance and weight discrimination ability in collegiate footballers

    National Research Council Canada - National Science Library

    Sharma, Geeta; Noohu, Majumi Mohamad

    2014-01-01

    ... was 21.07 years, participated in the study. The participants were assessed for two functional performance tests, single leg hop test and crossed over hop test and weight discrimination ability before and after ice massage for 5 minutes...

  4. Classification of debtor credit status and determination amount of credit risk by using linier discriminant function

    Science.gov (United States)

    Aidi, Muhammad Nur; Sari, Resty Indah

    2012-05-01

    A decision of credit that given by bank or another creditur must have a risk and it called credit risk. Credit risk is an investor's risk of loss arising from a borrower who does not make payments as promised. The substantial of credit risk can lead to losses for the banks and the debtor. To minimize this problem need a further study to identify a potential new customer before the decision given. Identification of debtor can using various approaches analysis, one of them is by using discriminant analysis. Discriminant analysis in this study are used to classify whether belonging to the debtor's good credit or bad credit. The result of this study are two discriminant functions that can identify new debtor. Before step built the discriminant function, selection of explanatory variables should be done. Purpose of selection independent variable is to choose the variable that can discriminate the group maximally. Selection variables in this study using different test, for categoric variable selection of variable using proportion chi-square test, and stepwise discriminant for numeric variable. The result of this study are two discriminant functions that can identify new debtor. The selected variables that can discriminating two groups of debtor maximally are status of existing checking account, credit history, credit amount, installment rate in percentage of disposable income, sex, age in year, other installment plans, and number of people being liable to provide maintenance. This classification produce a classification accuracy rate is good enough, that is equal to 74,70%. Debtor classification using discriminant analysis has risk level that is small enough, and it ranged beetwen 14,992% and 17,608%. Based on that credit risk rate, using discriminant analysis on the classification of credit status can be used effectively.

  5. Joint entropy for space and spatial frequency domains estimated from psychometric functions of achromatic discrimination.

    Science.gov (United States)

    Silveira, Vladímir de Aquino; Souza, Givago da Silva; Gomes, Bruno Duarte; Rodrigues, Anderson Raiol; Silveira, Luiz Carlos de Lima

    2014-01-01

    We used psychometric functions to estimate the joint entropy for space discrimination and spatial frequency discrimination. Space discrimination was taken as discrimination of spatial extent. Seven subjects were tested. Gábor functions comprising unidimensionalsinusoidal gratings (0.4, 2, and 10 cpd) and bidimensionalGaussian envelopes (1°) were used as reference stimuli. The experiment comprised the comparison between reference and test stimulithat differed in grating's spatial frequency or envelope's standard deviation. We tested 21 different envelope's standard deviations around the reference standard deviation to study spatial extent discrimination and 19 different grating's spatial frequencies around the reference spatial frequency to study spatial frequency discrimination. Two series of psychometric functions were obtained for 2%, 5%, 10%, and 100% stimulus contrast. The psychometric function data points for spatial extent discrimination or spatial frequency discrimination were fitted with Gaussian functions using the least square method, and the spatial extent and spatial frequency entropies were estimated from the standard deviation of these Gaussian functions. Then, joint entropy was obtained by multiplying the square root of space extent entropy times the spatial frequency entropy. We compared our results to the theoretical minimum for unidimensional Gábor functions, 1/4π or 0.0796. At low and intermediate spatial frequencies and high contrasts, joint entropy reached levels below the theoretical minimum, suggesting non-linear interactions between two or more visual mechanisms. We concluded that non-linear interactions of visual pathways, such as the M and P pathways, could explain joint entropy values below the theoretical minimum at low and intermediate spatial frequencies and high contrasts. These non-linear interactions might be at work at intermediate and high contrasts at all spatial frequencies once there was a substantial decrease in joint

  6. Comparison of self-determination of students with disabilities: multivariate and discriminant function analyses.

    Science.gov (United States)

    Chou, Y-C; Palmer, S B; Wehmeyer, M L; Skorupski, W P

    2017-02-01

    Self-determined behaviour is composed of multiple, interrelated component elements, and yet little empirical study has researched the self-determination components other than choice making and goal setting. Also, few theoretical relationships have been drawn between the component elements of self-determined behaviour and the impact of disability category. Therefore, this study examined profiles of the combination of three self-report measures of component elements of self-determined behaviour (autonomous functioning, problem solving and internal locus of control) between two groups (ID and learning disabilities/emotional disorders). We analysed data from 96 middle school and high school students ages 13 through 22 years who completed three self-report instruments of the Autonomy - section 1 of The Arc's Self-determination Scale, the Problem Solving Survey and the Nowicki-Strickland Locus of Control Scale. A multivariate analysis of covariance was conducted to investigate the differences between the two groups after controlling for the developmental effects of age. A discriminant function analysis examined whether membership of the two groups could be predicted from the three component elements. Results showed that each group had different profiles within the combined three component elements of self-determination but groups were not different on any single measure of component elements of self-determined behaviour exclusively. The combination of three variables was useful in confirming the membership of two dichotomous groups. Score differences on the three component behaviour imply that the two groups have different instructional needs and therefore require differentiated instructional approaches. The three measures of the component elements of self-determined behaviour collectively separate the two groups, suggesting that the component elements should be considered in a combination as opposed to being treated as individual elements in the context of discussing

  7. Aberrant functional connectivity for diagnosis of major depressive disorder: a discriminant analysis.

    Science.gov (United States)

    Cao, Longlong; Guo, Shuixia; Xue, Zhimin; Hu, Yong; Liu, Haihong; Mwansisya, Tumbwene E; Pu, Weidan; Yang, Bo; Liu, Chang; Feng, Jianfeng; Chen, Eric Y H; Liu, Zhening

    2014-02-01

    Aberrant brain functional connectivity patterns have been reported in major depressive disorder (MDD). It is unknown whether they can be used in discriminant analysis for diagnosis of MDD. In the present study we examined the efficiency of discriminant analysis of MDD by individualized computer-assisted diagnosis. Based on resting-state functional magnetic resonance imaging data, a new approach was adopted to investigate functional connectivity changes in 39 MDD patients and 37 well-matched healthy controls. By using the proposed feature selection method, we identified significant altered functional connections in patients. They were subsequently applied to our analysis as discriminant features using a support vector machine classification method. Furthermore, the relative contribution of functional connectivity was estimated. After subset selection of high-dimension features, the support vector machine classifier reached up to approximately 84% with leave-one-out training during the discrimination process. Through summarizing the classification contribution of functional connectivities, we obtained four obvious contribution modules: inferior orbitofrontal module, supramarginal gyrus module, inferior parietal lobule-posterior cingulated gyrus module and middle temporal gyrus-inferior temporal gyrus module. The experimental results demonstrated that the proposed method is effective in discriminating MDD patients from healthy controls. Functional connectivities might be useful as new biomarkers to assist clinicians in computer auxiliary diagnosis of MDD. © 2013 The Authors. Psychiatry and Clinical Neurosciences © 2013 Japanese Society of Psychiatry and Neurology.

  8. An electroglottographical analysis-based discriminant function model differentiating multiple sclerosis patients from healthy controls.

    Science.gov (United States)

    Vavougios, George D; Doskas, Triantafyllos; Konstantopoulos, Kostas

    2018-02-15

    Dysarthrophonia is a predominant symptom in many neurological diseases, affecting the quality of life of the patients. In this study, we produced a discriminant function equation that can differentiate MS patients from healthy controls, using electroglottographic variables not analyzed in a previous study. We applied stepwise linear discriminant function analysis in order to produce a function and score derived from electroglottographic variables extracted from a previous study. The derived discriminant function's statistical significance was determined via Wilk's λ test (and the associated p value). Finally, a 2 × 2 confusion matrix was used to determine the function's predictive accuracy, whereas the cross-validated predictive accuracy is estimated via the "leave-one-out" classification process. Discriminant function analysis (DFA) was used to create a linear function of continuous predictors. DFA produced the following model (Wilk's λ = 0.043, χ2 = 388.588, p discriminant score (S1) was used subsequently in order to form the coordinates of a ROC curve. Thus, a cutoff score of - 0.788 for S1 corresponded to a perfect classification (100% sensitivity and 100% specificity, p = 1.67e -22 ). Consistent with previous findings, electroglottographic evaluation represents an easy to implement and potentially important assessment in MS patients, achieving adequate classification accuracy. Further evaluation is needed to determine its use as a biomarker.

  9. Discrimination Power of Polynomial-Based Descriptors for Graphs by Using Functional Matrices.

    Science.gov (United States)

    Dehmer, Matthias; Emmert-Streib, Frank; Shi, Yongtang; Stefu, Monica; Tripathi, Shailesh

    2015-01-01

    In this paper, we study the discrimination power of graph measures that are based on graph-theoretical matrices. The paper generalizes the work of [M. Dehmer, M. Moosbrugger. Y. Shi, Encoding structural information uniquely with polynomial-based descriptors by employing the Randić matrix, Applied Mathematics and Computation, 268(2015), 164-168]. We demonstrate that by using the new functional matrix approach, exhaustively generated graphs can be discriminated more uniquely than shown in the mentioned previous work.

  10. Discriminant analysis of resting-state functional connectivity patterns on the Grassmann manifold

    Science.gov (United States)

    Fan, Yong; Liu, Yong; Jiang, Tianzi; Liu, Zhening; Hao, Yihui; Liu, Haihong

    2010-03-01

    The functional networks, extracted from fMRI images using independent component analysis, have been demonstrated informative for distinguishing brain states of cognitive functions and neurological diseases. In this paper, we propose a novel algorithm for discriminant analysis of functional networks encoded by spatial independent components. The functional networks of each individual are used as bases for a linear subspace, referred to as a functional connectivity pattern, which facilitates a comprehensive characterization of temporal signals of fMRI data. The functional connectivity patterns of different individuals are analyzed on the Grassmann manifold by adopting a principal angle based subspace distance. In conjunction with a support vector machine classifier, a forward component selection technique is proposed to select independent components for constructing the most discriminative functional connectivity pattern. The discriminant analysis method has been applied to an fMRI based schizophrenia study with 31 schizophrenia patients and 31 healthy individuals. The experimental results demonstrate that the proposed method not only achieves a promising classification performance for distinguishing schizophrenia patients from healthy controls, but also identifies discriminative functional networks that are informative for schizophrenia diagnosis.

  11. Data Mining of Determinants of Intrauterine Growth Retardation Revisited Using Novel Algorithms Generating Semantic Maps and Prototypical Discriminating Variable Profiles.

    Science.gov (United States)

    Buscema, Massimo; Grossi, Enzo; Montanini, Luisa; Street, Maria E

    2015-01-01

    Intra-uterine growth retardation is often of unknown origin, and is of great interest as a "Fetal Origin of Adult Disease" has been now well recognized. We built a benchmark based upon a previously analysed data set related to Intrauterine Growth Retardation with 46 subjects described by 14 variables, related with the insulin-like growth factor system and pro-inflammatory cytokines, namely interleukin-6 and tumor necrosis factor-α. We used new algorithms for optimal information sorting based on the combination of two neural network algorithms: Auto-contractive Map and Activation and Competition System. Auto-Contractive Map spatializes the relationships among variables or records by constructing a suitable embedding space where 'closeness' among variables or records reflects accurately their associations. The Activation and Competition System algorithm instead works as a dynamic non linear associative memory on the weight matrices of other algorithms, and is able to produce a prototypical variable profile of a given target. Classical statistical analysis, proved to be unable to distinguish intrauterine growth retardation from appropriate-for-gestational age (AGA) subjects due to the high non-linearity of underlying functions. Auto-contractive map succeeded in clustering and differentiating completely the conditions under study, while Activation and Competition System allowed to develop the profile of variables which discriminated the two conditions under study better than any other previous form of attempt. In particular, Activation and Competition System showed that ppropriateness for gestational age was explained by IGF-2 relative gene expression, and by IGFBP-2 and TNF-α placental contents. IUGR instead was explained by IGF-I, IGFBP-1, IGFBP-2 and IL-6 gene expression in placenta. This further analysis provided further insight into the placental key-players of fetal growth within the insulin-like growth factor and cytokine systems. Our previous published

  12. Data Mining of Determinants of Intrauterine Growth Retardation Revisited Using Novel Algorithms Generating Semantic Maps and Prototypical Discriminating Variable Profiles.

    Directory of Open Access Journals (Sweden)

    Massimo Buscema

    Full Text Available Intra-uterine growth retardation is often of unknown origin, and is of great interest as a "Fetal Origin of Adult Disease" has been now well recognized. We built a benchmark based upon a previously analysed data set related to Intrauterine Growth Retardation with 46 subjects described by 14 variables, related with the insulin-like growth factor system and pro-inflammatory cytokines, namely interleukin-6 and tumor necrosis factor-α.We used new algorithms for optimal information sorting based on the combination of two neural network algorithms: Auto-contractive Map and Activation and Competition System. Auto-Contractive Map spatializes the relationships among variables or records by constructing a suitable embedding space where 'closeness' among variables or records reflects accurately their associations. The Activation and Competition System algorithm instead works as a dynamic non linear associative memory on the weight matrices of other algorithms, and is able to produce a prototypical variable profile of a given target.Classical statistical analysis, proved to be unable to distinguish intrauterine growth retardation from appropriate-for-gestational age (AGA subjects due to the high non-linearity of underlying functions. Auto-contractive map succeeded in clustering and differentiating completely the conditions under study, while Activation and Competition System allowed to develop the profile of variables which discriminated the two conditions under study better than any other previous form of attempt. In particular, Activation and Competition System showed that ppropriateness for gestational age was explained by IGF-2 relative gene expression, and by IGFBP-2 and TNF-α placental contents. IUGR instead was explained by IGF-I, IGFBP-1, IGFBP-2 and IL-6 gene expression in placenta.This further analysis provided further insight into the placental key-players of fetal growth within the insulin-like growth factor and cytokine systems. Our previous

  13. Tailoring a psychophysical discrimination experiment upon assessment of the psychometric function: Predictions and results

    Directory of Open Access Journals (Sweden)

    Andrea Vilardi

    2015-02-01

    Full Text Available Decision making is a widespread research topic and plays a crucial role in neuroscience as well as in other research and application fields of, for example, biology, medicine and economics. The most basic implementation of decision making, namely binary discrimination, is successfully interpreted by means of signal detection theory (SDT, a statistical model that is deeply linked to physics. An additional, widespread tool to investigate discrimination ability is the psychometric function, which measures the probability of a given response as a function of the magnitude of a physical quantity underlying the stimulus. However, the link between psychometric functions and binary discrimination experiments is often neglected or misinterpreted. Aim of the present paper is to provide a detailed description of an experimental investigation on a prototypical discrimination task and to discuss the results in terms of SDT. To this purpose, we provide an outline of the theory and describe the implementation of two behavioural experiments in the visual modality: upon the assessment of the so-called psychometric function, we show how to tailor a binary discrimination experiment on performance and decisional bias, and to measure these quantities on a statistical base. Attention is devoted to the evaluation of uncertainties, an aspect which is also often overlooked in the scientific literature.

  14. Tailoring a psychophysical discrimination experiment upon assessment of the psychometric function: Predictions and results

    Science.gov (United States)

    Vilardi, Andrea; Tabarelli, Davide; Ricci, Leonardo

    2015-02-01

    Decision making is a widespread research topic and plays a crucial role in neuroscience as well as in other research and application fields of, for example, biology, medicine and economics. The most basic implementation of decision making, namely binary discrimination, is successfully interpreted by means of signal detection theory (SDT), a statistical model that is deeply linked to physics. An additional, widespread tool to investigate discrimination ability is the psychometric function, which measures the probability of a given response as a function of the magnitude of a physical quantity underlying the stimulus. However, the link between psychometric functions and binary discrimination experiments is often neglected or misinterpreted. Aim of the present paper is to provide a detailed description of an experimental investigation on a prototypical discrimination task and to discuss the results in terms of SDT. To this purpose, we provide an outline of the theory and describe the implementation of two behavioural experiments in the visual modality: upon the assessment of the so-called psychometric function, we show how to tailor a binary discrimination experiment on performance and decisional bias, and to measure these quantities on a statistical base. Attention is devoted to the evaluation of uncertainties, an aspect which is also often overlooked in the scientific literature.

  15. Determination of sex by discriminant function analysis of mandibles from a Central Indian population.

    Science.gov (United States)

    Wankhede, Kanchankumar P; Bardale, Rajesh V; Chaudhari, Gunwant R; Kamdi, Namdeo Y

    2015-01-01

    Identification of sex from skeletal remains is one of the important forensic considerations. Discriminant function analysis is increasingly used to determine the sex from skeleton. To develop discriminant function to determine sex from mandible in a Central Indian population. This was a prospective study done at the Department of Anatomy. The mandibles used in the present study were from the museum specimens. Only 82 adult mandibles (55 male and 27 female) that had been preserved were selected. Ten mandibular parameters were measured. Statistical analysis was conducted using Statistical Package for Social Sciences (SPSS) for Windows, version 16. The level of statistical significance was set at P discriminant function analysis, only six variables were selected as the best discriminant between sexes, with the projection length of corpus mandibulae being the most dimorphic. It was observed that sex classification accuracy of the discriminant functions ranged from 57.3 to 80.5% for the individual variables, 81.7% for the stepwise method, and 85.4% for the direct method. The results of the study show that mandibles can be used for determining sex and the results are comparable with other similar studies. The studied mandibular variables showed sexual dimorphism with an accuracy comparable with other skeletal remains, next to cranium and pelvis.

  16. ClassyFlu: classification of influenza A viruses with Discriminatively trained profile-HMMs.

    Directory of Open Access Journals (Sweden)

    Sandra Van der Auwera

    Full Text Available Accurate and rapid characterization of influenza A virus (IAV hemagglutinin (HA and neuraminidase (NA sequences with respect to subtype and clade is at the basis of extended diagnostic services and implicit to molecular epidemiologic studies. ClassyFlu is a new tool and web service for the classification of IAV sequences of the HA and NA gene into subtypes and phylogenetic clades using discriminatively trained profile hidden Markov models (HMMs, one for each subtype or clade. ClassyFlu merely requires as input unaligned, full-length or partial HA or NA DNA sequences. It enables rapid and highly accurate assignment of HA sequences to subtypes H1-H17 but particularly focusses on the finer grained assignment of sequences of highly pathogenic avian influenza viruses of subtype H5N1 according to the cladistics proposed by the H5N1 Evolution Working Group. NA sequences are classified into subtypes N1-N10. ClassyFlu was compared to semiautomatic classification approaches using BLAST and phylogenetics and additionally for H5 sequences to the new "Highly Pathogenic H5N1 Clade Classification Tool" (IRD-CT proposed by the Influenza Research Database. Our results show that both web tools (ClassyFlu and IRD-CT, although based on different methods, are nearly equivalent in performance and both are more accurate and faster than semiautomatic classification. A retraining of ClassyFlu to altered cladistics as well as an extension of ClassyFlu to other IAV genome segments or fragments thereof is undemanding. This is exemplified by unambiguous assignment to a distinct cluster within subtype H7 of sequences of H7N9 viruses which emerged in China early in 2013 and caused more than 130 human infections. http://bioinf.uni-greifswald.de/ClassyFlu is a free web service. For local execution, the ClassyFlu source code in PERL is freely available.

  17. ClassyFlu: classification of influenza A viruses with Discriminatively trained profile-HMMs.

    Science.gov (United States)

    Van der Auwera, Sandra; Bulla, Ingo; Ziller, Mario; Pohlmann, Anne; Harder, Timm; Stanke, Mario

    2014-01-01

    Accurate and rapid characterization of influenza A virus (IAV) hemagglutinin (HA) and neuraminidase (NA) sequences with respect to subtype and clade is at the basis of extended diagnostic services and implicit to molecular epidemiologic studies. ClassyFlu is a new tool and web service for the classification of IAV sequences of the HA and NA gene into subtypes and phylogenetic clades using discriminatively trained profile hidden Markov models (HMMs), one for each subtype or clade. ClassyFlu merely requires as input unaligned, full-length or partial HA or NA DNA sequences. It enables rapid and highly accurate assignment of HA sequences to subtypes H1-H17 but particularly focusses on the finer grained assignment of sequences of highly pathogenic avian influenza viruses of subtype H5N1 according to the cladistics proposed by the H5N1 Evolution Working Group. NA sequences are classified into subtypes N1-N10. ClassyFlu was compared to semiautomatic classification approaches using BLAST and phylogenetics and additionally for H5 sequences to the new "Highly Pathogenic H5N1 Clade Classification Tool" (IRD-CT) proposed by the Influenza Research Database. Our results show that both web tools (ClassyFlu and IRD-CT), although based on different methods, are nearly equivalent in performance and both are more accurate and faster than semiautomatic classification. A retraining of ClassyFlu to altered cladistics as well as an extension of ClassyFlu to other IAV genome segments or fragments thereof is undemanding. This is exemplified by unambiguous assignment to a distinct cluster within subtype H7 of sequences of H7N9 viruses which emerged in China early in 2013 and caused more than 130 human infections. http://bioinf.uni-greifswald.de/ClassyFlu is a free web service. For local execution, the ClassyFlu source code in PERL is freely available.

  18. Palatal rugae in population differentiation between South and North Indians: A discriminant function analysis.

    Science.gov (United States)

    Shanmugam, Shankar; Anuthama, Krishnamurthy; Shaikh, Hidayathulla; Murali, Kruthika; Suresan, Vinay; Nisharudeen, Khaja; Brinda Devi, Sulur Pechimuthu; Rajasundaram, Prakash

    2012-07-01

    The present study is aimed at delineation of different types of rugae in two different populations and developing a discriminant function for the same. A total of 940 subjects were included in the present study. The sample consisted of 466 subjects from South Indian population and 474 from North Indian population in the age group of 18-23 years. Neo colloid Easy flow((™)) alginate impressions of maxillary arch were made and casts were immediately poured with Type IV dental stone. A sharp graphite pencil was used to delineate the rugae and patterns were recorded according to the classification given by Kapali et al. The association between different population and different sexes was analyzed with chi-square test and a stepwise discriminant function analysis was also performed to develop a discriminant formula. Wavy, curved and straight rugae were the most common forms in both groups. Chi-square analysis for association between rugae shape and population groups showed significant differences among all the rugae patterns at the P analysis for assessing sex differences in the rugae shapes showed significant difference in straight, unification and circular type. Five rugae shapes - curved, wavy, nonspecific, unification and circular - were selected for discriminant function. The discriminant function equation obtained from the different rugae shapes in the present study was highly accurate enough to distinguish the Southern and Northern Indian population with the classification accuracy of 87.8%. Thus to identify a specific population, separate discriminant function formulae have to be developed. Hence, the study of palatal rugae is one of the simple and reliable tools for population identification in forensic science.

  19. Discrimination among spawning concentrations of Lake Superior lake herring based on trace element profiles in sagittae

    Science.gov (United States)

    Bronte, Charles R.; Hesselberg, Robert J.; Shoesmith, John A.; Hoff, Michael H.

    1996-01-01

    Little is known about the stock structure of lake herring Coregonus artedi in Lake Superior, and recent increases in harvestable stock sizes has led to expanded exploitation in some areas. Research on marine teleosts has demonstrated that chemical differences in sagittal otoliths can be used for identification of fish stocks. We used plasma emission spectrophotometry to measure the concentrations of 10 trace elements in the sagittal otoliths from lake herring captured at eight spawning sites in Lake Superior and from Little Star Lake, an inland lake outside the Lake Superior basin. Discriminant function analysis indicated that elemental concentrations provided site-specific information but that considerable overlap existed among some locations, especially those in western Lake Superior. Correct classification rates varied from 12.0% to 86.1% and were generally higher for spawning locations from embayments in eastern Lake Superior and for the outgroup population from Little Star Lake. The results presented here demonstrate the potential usefulness of this technique for strictly freshwater species, especially those that live in highly oligotrophic waters such as Lake Superior.

  20. Use of Probability Distribution Functions for Discriminating Between Cloud and Aerosol in Lidar Backscatter Data

    Science.gov (United States)

    Liu, Zhaoyan; Vaughan, Mark A.; Winker, Davd M.; Hostetler, Chris A.; Poole, Lamont R.; Hlavka, Dennis; Hart, William; McGill, Mathew

    2004-01-01

    In this paper we describe the algorithm hat will be used during the upcoming Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observations (CALIPSO) mission for discriminating between clouds and aerosols detected in two wavelength backscatter lidar profiles. We first analyze single-test and multiple-test classification approaches based on one-dimensional and multiple-dimensional probability density functions (PDFs) in the context of a two-class feature identification scheme. From these studies we derive an operational algorithm based on a set of 3-dimensional probability distribution functions characteristic of clouds and aerosols. A dataset acquired by the Cloud Physics Lidar (CPL) is used to test the algorithm. Comparisons are conducted between the CALIPSO algorithm results and the CPL data product. The results obtained show generally good agreement between the two methods. However, of a total of 228,264 layers analyzed, approximately 5.7% are classified as different types by the CALIPSO and CPL algorithm. This disparity is shown to be due largely to the misclassification of clouds as aerosols by the CPL algorithm. The use of 3-dimensional PDFs in the CALIPSO algorithm is found to significantly reduce this type of error. Dust presents a special case. Because the intrinsic scattering properties of dust layers can be very similar to those of clouds, additional algorithm testing was performed using an optically dense layer of Saharan dust measured during the Lidar In-space Technology Experiment (LITE). In general, the method is shown to distinguish reliably between dust layers and clouds. The relatively few erroneous classifications occurred most often in the LITE data, in those regions of the Saharan dust layer where the optical thickness was the highest.

  1. Dopaminergic mediation of the discriminative stimulus functions of modafinil in rats.

    Science.gov (United States)

    Quisenberry, Amanda J; Baker, Lisa E

    2015-12-01

    Modafinil is a wake-promoting drug with FDA approval for the treatment of excessive daytime sleepiness that has been prescribed for ADHD and recently assessed as a potential treatment for psychostimulant dependence. Previous research indicates that modafinil modestly increases locomotor activity and produces similar discriminative stimulus effects to psychostimulants in rodents, although the subjective effects of modafinil are reportedly distinct from those of cocaine or amphetamine in humans with a history of psychostimulant abuse. The current study employed drug discrimination procedures in rats to examine the pharmacological actions contributing to modafinil's discriminative stimulus functions. Eight male Sprague-Dawley rats were trained to discriminate intragastric administration of 256 mg/kg modafinil from vehicle (5% arabic gum) under a FR 20 schedule of food reinforcement. Substitution tests were conducted with various dopaminergic agents (d-amphetamine, cocaine, PNU-91356A, GBR 12909, methylphenidate) and nondopaminergic agents (nicotine, ethanol). Antagonist tests were conducted with the selective D1 antagonist, SCH 39166, and the nonselective D2 antagonist, haloperidol. Rats trained to discriminate modafinil displayed complete stimulus generalization to cocaine, methylphenidate, and GBR 12909 and the discrimination was completely blocked by both SCH 39166 and haloperidol. Evidence for significant partial substitution was obtained with d-amphetamine, PNU-91356A, and nicotine. Results strongly support the role of dopaminergic mechanisms in the discriminative stimulus functions of modafinil, although further evaluation regarding the contribution of other neurotransmitter systems to these effects should be continued. The findings are discussed in light of clinical research efforts with modafinil as a treatment for psychostimulant dependence.

  2. Task-Related Functional Connectivity Analysis of Emotion Discrimination in a Family Study of Schizophrenia.

    Science.gov (United States)

    Goghari, Vina M; Sanford, Nicole; Spilka, Michael J; Woodward, Todd S

    2017-10-21

    Poor emotion recognition is a core deficit in schizophrenia and is associated with poor functional outcome. Functional magnetic resonance imaging (fMRI) multivariate analysis methods were used to elucidate the neural underpinnings of face and emotion processing associated with both genetic liability and disease-specific effects. Schizophrenia patients, relatives, and controls completed a task that included 4 facial emotion discrimination conditions and an age discrimination condition during fMRI. Three functional networks were derived from the data: the first involved in visual attention and response generation, the second a default mode network (DMN), and a third involved in face and emotion processing. No differences in activation were found between groups for the visual attention and response generation network, suggesting that basic processes were intact. Both schizophrenia patients and relatives showed evidence for hyperdeactivation in the DMN compared to controls, with relatives being intermediate, suggesting a genetic liability effect. Both disease-specific and genetic liability effects were found for the face processing network, which included the amygdala. Patients exhibited lower coordinated network activity compared to controls and relatives across all facial discrimination conditions. Additionally, in relation to the other emotion discrimination conditions, a heightened coordinated response during fear and anger discrimination was observed in schizophrenia compared to other conditions, whereas relatives demonstrated heightened coordinated activity for anger discrimination only relative to other emotion conditions. With regards to brain functioning, this study found that schizophrenia is associated with abnormal processing of threat-related information, and that in part may be associated with the genetic risk for the disorder, suggesting that the facial and emotion processing network could be targeted for intervention. © The Author 2017. Published by

  3. Profiles of African American College Students’ Alcohol Use and Sexual Behaviors: Associations With Stress, Racial Discrimination, and Social Support

    Science.gov (United States)

    Metzger, Isha W.; Cooper, Shauna M.; Ritchwood, Tiarney D.; Onyeuku, Chisom; Griffin, Charity Brown

    2017-01-01

    Though studies show that alcohol use and sexual activity increase during emerging adulthood, few studies examine within–ethnic group differences, particularly among African American college students. This investigation utilized a latent class analytic methodology to identify risk behavior profiles of alcohol use (frequency and amount of alcohol consumed), sexual activity (number of intimate partners), and co-occurring risk behaviors (drinking before sexual intercourse) among 228 African American college students. This investigation also examined whether identified risk behavior profiles were associated with stress (interpersonal, intraperso-nal, academic, and environmental), experiences of racial discrimination, and social support (from family, friends, and the college community). Results identified five distinct profiles within this sample: (a) High Sexual Risk—above-average sexual activity; (b) Abstainers—below-average alcohol use and sexual activity; (c) Low Risk—average alcohol use and sexual activity; (d) Alcohol Risk—above-average alcohol use and below-average sexual activity; and (e) Co-Occurring Risk—above-average alcohol use and sexual activity. Identified profiles differed across interpersonal and environmental stress, and self-reported frequency of experiences with racial discrimination. Implications for prevention programs and interventions aimed at reducing alcohol and sexual activity for African American college students are discussed. PMID:27215314

  4. Profiles of African American College Students' Alcohol Use and Sexual Behaviors: Associations With Stress, Racial Discrimination, and Social Support.

    Science.gov (United States)

    Metzger, Isha W; Cooper, Shauna M; Ritchwood, Tiarney D; Onyeuku, Chisom; Griffin, Charity Brown

    2017-01-01

    Though studies show that alcohol use and sexual activity increase during emerging adulthood, few studies examine within-ethnic group differences, particularly among African American college students. This investigation utilized a latent class analytic methodology to identify risk behavior profiles of alcohol use (frequency and amount of alcohol consumed), sexual activity (number of intimate partners), and co-occurring risk behaviors (drinking before sexual intercourse) among 228 African American college students. This investigation also examined whether identified risk behavior profiles were associated with stress (interpersonal, intrapersonal, academic, and environmental), experiences of racial discrimination, and social support (from family, friends, and the college community). Results identified five distinct profiles within this sample: (a) High Sexual Risk-above-average sexual activity; (b) Abstainers-below-average alcohol use and sexual activity; (c) Low Risk-average alcohol use and sexual activity; (d) Alcohol Risk-above-average alcohol use and below-average sexual activity; and (e) Co-Occurring Risk-above-average alcohol use and sexual activity. Identified profiles differed across interpersonal and environmental stress, and self-reported frequency of experiences with racial discrimination. Implications for prevention programs and interventions aimed at reducing alcohol and sexual activity for African American college students are discussed.

  5. Measuring everyday visual discrimination in visually impaired children with the Sonksen Picture Guide to visual function

    NARCIS (Netherlands)

    Vervloed, M.P.J.; Ormel, E.A.; Schiphorst, S.A.M.

    2001-01-01

    The Sonksen Picture Guide to Visual Function (SPGVF) assesses a person's ability to discriminate pictures of everyday objects. Sonksen added the SPGVF to tests of visual acuity, because real objects, miniatures, and pictures are the main learning medium for young children. In earlier studies

  6. Faecal calprotectin, an useful marker in discriminating between inflammatory bowel disease and functional gastrointestinal disorders.

    Science.gov (United States)

    Lozoya Angulo, Maria Elena; de Las Heras Gómez, Ignacio; Martinez Villanueva, Miriam; Noguera Velasco, Jose Antonio; Avilés Plaza, Francisco

    2017-03-01

    Diagnostic discrimination between inflammatory bowel disease (IBD) and functional gastrointestinal disorders is complex, as they cause similar signs and symptoms. Faecal calprotectin (FC) is a useful marker in this context, and can be used to select patients who will most benefit from colonoscopy. The aim of this study was to evaluate the utility of FC in discriminating between organic disease and functional disorders. The study included 264 patients presenting with gastrointestinal complaints consistent with an organic pathology. FC levels were determined and diagnostic accuracy was assessed using the area under the curve obtained from the final diagnosis. Calprotectin levels in organic bowel disease patients were significantly higher (median 254μg/g; 95% confidence interval [CI], interquartile range 105-588.5) than in functional disease patients (95μg/g; 95% CI, 47.25-243.92) (Pg; 95% CI, 96.85-674.00) than in those with irritable bowel syndrome (79.70μg/g; 95% CI, 36.50-117.25) (Pg, FC had an area under the ROC curve to discriminate between organic and functional disease of 0.718, and 0.872 to discriminate between irritable bowel syndrome and IBD. Our study supports the importance of FC as a marker in the evaluation of patients with IBD. The best diagnostic accuracy is obtained at a cut-off value of 150μg/g. Copyright © 2016 Elsevier España, S.L.U., AEEH y AEG. All rights reserved.

  7. Sex assessment from the carpals bones: discriminant function analysis in a 20th century Spanish sample.

    Science.gov (United States)

    Mastrangelo, Paola; De Luca, Stefano; Alemán, Inmaculada; Botella, Miguel C

    2011-03-20

    Sex assessment is one of the first essential steps in human identification, in both medico-legal cases and bio-archaeological contexts. Fragmentary human remains compromised by different types of inhumation or physical insults may frustrate the use of the traditional sex estimation methods, such as the analysis of the skull and pelvis. Currently, the application of discriminant functions to sex unidentified skeletal remains is steadily increasing. However, several studies have demonstrated that, due to variation in size and patterns of sexual dimorphism, discriminant function equations are population-specific [1,2,5,12,61]. In this study, in order to improve sex assessment from skeletal remains and to establish population-specific discriminant functions, the diagnostic values of the carpal bones were considered. A sample of 100 individuals (50 males and 50 females) of known sex and age was analyzed. They belong to a 20th century identified collection from the Municipal Cemetery of "San José", Granada (Spain) and housed in the Laboratory of Anthropology, Faculty of Medicine, University of Granada (Spain). The age of the individuals ranged between 22 and 85 years. Between four and nine measurements of each carpal bone were performed [41,59]. Discriminant function statistics showed a sex assessment accuracy as high as 97.8%. The results suggest that carpal bones can be used for assessing sex in both forensic and bio-archaeological identification procedures. Copyright © 2011 Elsevier Ireland Ltd. All rights reserved.

  8. Sex Assessment Using the Femur and Tibia in Medieval Skeletal Remains from Ireland: Discriminant Function Analysis.

    Science.gov (United States)

    Novak, Mario

    2016-04-01

    Sex determination based on discriminant function analysis of skeletal measurements is probably the most effective method for assessment of sex in archaeological and contemporary populations due to various reasons, but it also suffers from limitations such as population specificity. In this paper standards for sex assessment from the femur and tibia in the medieval Irish population are presented. Six femoral and six tibial measurements obtained from 56 male and 45 female skeletons were subjected to discriminant function analysis. Average accuracies obtained by this study range between 87.1 and 97%. The highest level of accuracy (97%) was achieved when using combined variables of the femur and tibia (maximum diameter of femoral head and circumference at tibial nutrient foramen), as well as two variables of the tibia (proximal epiphyseal breadth and circumference at nutrient foramen). Discriminant functions using a single variable provided accuracies between 87.1 and 96% with the circumference at the level of the tibial nutrient foramen providing the best separation. High accuracy rates obtained by this research correspond to the data recorded in other studies thus confirming the importance of discriminant function analysis in assessment of sex in both archaeological and forensic contexts.

  9. Design of synthetic discriminant functions for use in a hybrid digital-optical correlator

    Science.gov (United States)

    Shang, Lin; Scott, Brian F.; Sharp, James H.

    1997-03-01

    A design method for synthetic discriminant functions is described that optimizes filter performance by an appropriate weighting of the phase and of amplitude components of the training set images. The optimization criteria are the quality of discrimination of in-class and rejection of out-of-class images, filter efficiency and robustness in the presence of noise. The comparison is with the POF/fSDF. A practical demonstration is found in the application of a so optimized filter in a hybrid correlator.

  10. Discrimination of Switchgrass Cultivars and Nitrogen Treatments Using Pigment Profiles and Hyperspectral Leaf Reflectance Data

    Directory of Open Access Journals (Sweden)

    Jagadeesh Mosali

    2012-09-01

    Full Text Available The objective of this study was to compare the use of hyperspectral narrowbands, hyperspectral narrowband indices and pigment measurements collected from switchgrass leaf as potential tools for discriminating among twelve switchgrass cultivars and five N treatments in one cultivar (Alamo. Hyperspectral reflectance, UV-B absorbing compounds, photosynthetic pigments (chlorophyll a, chlorophyll b and carotenoids of the uppermost fully expanded leaves were determined at monthly intervals from May to September. Leaf hyperspectral data was collected using ASD FieldSpec FR spectroradiometer (350–2,500 nm. Discrimination of the cultivars and N treatments were determined based on Principal Component Analysis (PCA and linear discriminant analysis (DA. The stepwise discriminant analysis was used to determine the best indices that differentiate switchgrass cultivars and nitrogen treatments. Results of PCA showed 62% of the variability could be explained in PC1 dominated by middle infrared wavebands, over 20% in PC2 dominated by near infrared wavebands and just over 10% in PC3 dominated by green wavebands for separating both cultivars and N treatments. Discriminating among the cultivars resulted in an overall accuracy of 81% with the first five PCs in the month of September, but was less accurate (27% in classifying N treatments using the spectral data. Discrimination based on pigment data using the first two PCs resulted in an overall accuracy of less than 10% for separating switchgrass cultivars , but was more accurate (47% in grouping N treatments. The plant senescence ratio index (PSRI was found to be the best index for separating the cultivars late in the season, while the transform chlorophyll absorption ration index (TCARI was best for separating the N treatments. Leaf spectra data was found to be more useful than pigment data for the discrimination of switchgrass cultivars, particularly late in the growing season.

  11. Data Mining of Determinants of Intrauterine Growth Retardation Revisited Using Novel Algorithms Generating Semantic Maps and Prototypical Discriminating Variable Profiles

    Science.gov (United States)

    Buscema, Massimo; Grossi, Enzo; Montanini, Luisa; Street, Maria E.

    2015-01-01

    Objectives Intra-uterine growth retardation is often of unknown origin, and is of great interest as a “Fetal Origin of Adult Disease” has been now well recognized. We built a benchmark based upon a previously analysed data set related to Intrauterine Growth Retardation with 46 subjects described by 14 variables, related with the insulin-like growth factor system and pro-inflammatory cytokines, namely interleukin -6 and tumor necrosis factor -α. Design and Methods We used new algorithms for optimal information sorting based on the combination of two neural network algorithms: Auto-contractive Map and Activation and Competition System. Auto-Contractive Map spatializes the relationships among variables or records by constructing a suitable embedding space where ‘closeness’ among variables or records reflects accurately their associations. The Activation and Competition System algorithm instead works as a dynamic non linear associative memory on the weight matrices of other algorithms, and is able to produce a prototypical variable profile of a given target. Results Classical statistical analysis, proved to be unable to distinguish intrauterine growth retardation from appropriate-for-gestational age (AGA) subjects due to the high non-linearity of underlying functions. Auto-contractive map succeeded in clustering and differentiating completely the conditions under study, while Activation and Competition System allowed to develop the profile of variables which discriminated the two conditions under study better than any other previous form of attempt. In particular, Activation and Competition System showed that ppropriateness for gestational age was explained by IGF-2 relative gene expression, and by IGFBP-2 and TNF-α placental contents. IUGR instead was explained by IGF-I, IGFBP-1, IGFBP-2 and IL-6 gene expression in placenta. Conclusion This further analysis provided further insight into the placental key-players of fetal growth within the insulin-like growth

  12. Unique intrahepatic transcriptomics profiles discriminate the clinical phases of a chronic HBV infection.

    Directory of Open Access Journals (Sweden)

    Jun Hou

    Full Text Available Chronic hepatitis B is a highly heterogeneous liver disease characterized by phases with fluctuations in viral replication and progressive liver damage in some, but not all infected individuals. Despite four decades of research, insight into host determinants underlying these distinct clinical phases-immunotolerant, immune active, inactive carrier, and HBeAg-negative hepatitis-remains elusive. We performed an in-depth transcriptome analysis of archived FFPE liver biopsies of each clinical phase to address host determinants associated with the natural history. Therefore, we determined, for the first time, intrahepatic global expression profiles of well-characterized chronic HBV patients at different clinical phases. Our data, obtained by microarray, demonstrate that B cells and NK/cytotoxic-related genes in the liver, including CD19, TNFRSF13C, GZMH, and KIR2DS3, were differentially expressed across the clinical HBV phases, which was confirmed by modular analysis and also Nanostring arrays in an independent cohort. Compared to the immunotolerant phase, 92 genes were differentially expressed in the liver during the immune active phase, 46 in the inactive carrier phase, and 71 in the HBeAg-negative phase. Furthermore, our study also revealed distinctive transcription of genes associated with cell cycle activity, NF-κB signaling, cytotoxic function and mitochondrial respiration between clinical phases. Our data define for the first time using microarray unique transcriptomes in the HBV-infected liver during consecutive clinical phases. We demonstrate that fluctuations of viral loads and liver damage coincide with fluctuations in the liver transcriptome and point to functional- immune and non-immune- components contributing to the clinical phenotype in patients.

  13. The reliability of morphometric discriminant functions in determining the sex of Chilean flamingos Phoenicopterus chilensis

    Directory of Open Access Journals (Sweden)

    Diego MONTALTI et al

    2012-06-01

    Full Text Available Monomorphic birds cannot be sexed visually and discriminant functions on the basis of external morphological variations are frequently used. Our objective was to evaluate the reliability of sex classification functions created from structural measurements of Chilean flamingos Phoenicopterus chilensis museum skins for the gender assignment of live birds. Five measurements were used to develop four discriminant functions: culmen, bill height and width, tarsus length and middle toe claw. The functions were tested on a sample of live flamingos from a zoo. The best classification for museum flamingos was given by a function using tarsus length, bill width and middle toe claw (97%. However, this function did not give the best classification for the zoo-based flamingos (81% which had the best sex assignment by a function including measurements of tarsus, culmen and bill height and width (85%. This shows that a function giving good results in the sample from which it originated may not be as good when applied to another group of animals. Our study emphasizes the need for assessing the accuracy of a function by testing it with other methods to ensure its suitability when being applied [Current Zoology 59 (6: 851–855, 2012].

  14. A transfer of self-discrimination response functions through equivalence relations.

    Science.gov (United States)

    Dymond, S; Barnes, D

    1994-09-01

    The present study tested the idea that human self-discrimination response functions may transfer through equivalence relations. Four subjects were trained in six symbolic matching-to-sample tasks (if see A1, choose B1; A1-C1, A2-B2, A2-C2, A3-B3, A3-C3) and were then tested for the formation of three equivalence relations (B1-C1, B2-C2, B3-C3). Two of the B stimuli (B1 and B2) were then used to train two different self-discrimination responses using either detailed instructions (Subjects 1 to 3) or minimal instructions (Subject 4) on two complex schedules of reinforcement (i.e., subjects were trained to pick the B1 stimulus if they had not emitted a response, and to pick the B2 stimulus if they had emitted one or more responses on the previous schedule). All 4 subjects showed the predicted transfer of self-discrimination response functions through equivalence relations (i.e., no response on the schedule, pick C1; one or more responses on the schedule, pick C2). Subjects also demonstrated this transfer when they were required to discriminate their schedule performance before exposure to the schedule (i.e., "what I intend to do"). Four control subjects were also used in the study. Two of these (Subjects 5 and 6) were not exposed to any form of matching-to-sample training and testing (nonequivalence controls). The 2 remaining subjects (7 and 8) were exposed to matching-to-sample training and testing that incorporated stimuli not used during the transfer test; C1 and C2 were replaced by N1 and N2 during the matching-to-sample training and testing, but C1 and C2 were used for the transfer tests (equivalence controls). All 4 subjects failed to produce the self-discrimination transfer performances observed with the experimental subjects.

  15. Characterization of Fatty Acid Profile of Argan Oil and Other Edible Vegetable Oils by Gas Chromatography and Discriminant Analysis

    Directory of Open Access Journals (Sweden)

    Ascensión Rueda

    2014-01-01

    Full Text Available Virgin argan oil is an emergent oil that is being introduced into specialized international markets as a healthy and luxury food. In order to compare the fatty acid composition of argan oil with that of the eleven other vegetable edible oils, a combination of gas chromatography as analytical technique and multivariate discriminant analysis was applied. This analysis takes into account the conjoint effect of all the variables analyzed in the discrimination between oils and also shows the contribution of each variable to oils characterization. The model correctly classified 100% oil samples. According to the fatty acid composition, argan oil showed closest similarity firstly with sesame oil and secondly with high oleic sunflower oil. Olive oil was close to avocado oil and almond oil, followed by argan oil. Thus, similarities and differences between vegetable oils based on their fatty acid profile were established by the application of multivariate discriminant analysis. This method was proven to be a useful tool to study the relationships between oils according to the fat composition and to determine the importance of the fatty acid variables on the oils classification.

  16. Determination of sex using cephalo-facial dimensions by discriminant function and logistic regression equations

    Directory of Open Access Journals (Sweden)

    Twisha Shah

    2016-06-01

    Full Text Available The aim is to bring together the new anthropological techniques and knowledge about populations that are least known. The present study was performed on 901 healthy Gujarati volunteers (676 males, 225 females within the age group of 21–50 years with the aim to examine whether any correlation exists between cephalofacial measures naming maximum head length, maximum head breadth, bizygomatic breadth, bigonial diameter, morphological facial length, physiognomic facial length, biocular breadth and total cephalofacial height and sex determination. Also, discriminant function and logistic regression methods were verified to check the best accuracy level for sex determination. Mean values of cephalofacial dimensions were higher in males than in females. Best reliable results were obtained by using logistic regression equations in males (92% and discriminant function in females (80.9%. Our study conclusively establishes the existence of a definite statistically significant sexual dimorphism in Gujarati population using cephalo-facial dimensions.

  17. Examining young children's social competence using functional ability profiles.

    Science.gov (United States)

    McLaughlin, Tara W; Snyder, Patricia A; Algina, James

    2017-08-13

    To explore the use of International Classification of Functioning, Disability, and Health for Children and Youth (ICF-CY) based profiles of children's functional abilities in relation to their social competence. Subgroups based on shared profiles of functional ability were investigated as an alternative or complement to subgroups defined by disability categories. Secondary analysis of a nationally representative data set of young children identified for special education services in the United States was used for the present study. Using five subgroups of children with shared profiles of functional ability, derived from latent class analysis in previous work, regression analyses were used to examine the relationships between social competence and functional abilities profile subgroup membership. Differences among the subgroups were examined using standardized effect sizes. R2 values were used to examine explained variance in social competence in relation to subgroup membership, disability category, and these variables in combination. Functional ability profile subgroup membership was moderately related to children's social competence outcomes: social skills and problem behaviors. Effect sizes showed significant differences between subgroups. Subgroup membership accounted for more variance in social competence outcomes than disability category. The results provide empirical support for the importance of functional ability profiles when examining social competence within a population of young children with disabilities. Implications for Rehabilitation The extent to which children with disabilities experience difficulty with social competence varies by their functional characteristics. Functional ability profiles can provide practitioners and researchers working young children with disabilities important tools to examine social competence and to inform interventions.

  18. Determining dental sex dimorphism in South Indians using discriminant function analysis.

    Science.gov (United States)

    Anuthama, Krishnamurthy; Shankar, S; Ilayaraja, Vadivel; Kumar, Gopal Shiva; Rajmohan, M; Vignesh

    2011-10-10

    Dental forensics forms a vital branch of forensic science which deals with proper handling, examination and evaluation of dental evidences for identification of victims of crime, accidents or calamities. Therefore skull and teeth often provide the identification material. The aim of the study was to investigate the accuracy of odontometric methods in sex determination of permanent teeth and to compute new formula to differentiate male and female teeth using discriminant function analysis for South Indian population. A total of 100 subjects were selected for the study from a parent population of 4800 students by simple random sampling method. Alginate impressions of the upper dental arch were made and casts were poured immediately. A digital vernier calliper was used for the measurement of all upper anteriors. Twelve different tooth measurements were recorded and from those two indexes have been computed. Statistical analysis was performed using the SPSS version 17.0 software. All the predictor variables were subjected to stepwise discriminant function analysis which optimally separates the genders and a best discriminant function was generated. In all the observed mean dimensions, male values exceed the female values. Student's 't' test for the different predictor variables of all teeth selected between male and females were found significant (p technique would be a simple, quick, cost effective, reliable and accurate for sex determination. Copyright © 2011 Elsevier Ireland Ltd. All rights reserved.

  19. Gender identification of Caspian Terns using external morphology and discriminant function analysis

    Science.gov (United States)

    Ackerman, Joshua T.; Takekawa, John Y.; Bluso, J.D.; Yee, J.L.; Eagles-Smith, Collin A.

    2008-01-01

    Caspian Tern (Sterna caspia) plumage characteristics are sexually monochromatic and gender cannot easily be distinguished in the field without extensive behavioral observations. We assessed sexual size dimorphism and developed a discriminant function to assign gender in Caspian Terns based on external morphology. We collected and measured Caspian Terns in San Francisco Bay, California, and confirmed their gender based on necropsy and genetic analysis. Of the eight morphological measurements we examined, only bill depth at the gonys and head plus bill length differed between males and females with males being larger than females. A discriminant function using both bill depth at the gonys and head plus bill length accurately assigned gender of 83% of terns for which gender was known. We improved the accuracy of our discriminant function to 90% by excluding individuals that had less than a 75% posterior probability of correctly being assigned to gender. Caspian Terns showed little sexual size dimorphism in many morphometries, but our results indicate they can be reliably assigned to gender in the field using two morphological measurements.

  20. A Parameter Free BBN Discriminant Function for Optimum Model Complexity versus Goodness of Data Fitting

    Directory of Open Access Journals (Sweden)

    M. Naeem

    2014-08-01

    Full Text Available Bayesian Belief Network (BBN is an appealing classification model for learning causal and noncausal dependencies among a set of query variables. It is a challenging task to learning BBN structure from observational data because of pool of large number of candidate network structures. In this study, we have addressed the issue of goodness of data fitting versus model complexity. While doing so, we have proposed discriminant function which is non-parametric, free of implicit assumptions but delivering better classification accuracy in structure learning. The contribution in this study is twofold, first contribution (discriminant function is in BBN structure learning and second contribution is for Decision Stump classifier. While designing the novel discriminant function, we analyzed the underlying relationship between the characteristics of data and accuracy of decision stump classifier. We introduced a meta characteristic measure AMfDS (herein known as Affinity Metric for Decision Stump which is quite useful in prediction of classification accuracy of Decision Stump. AMfDS requires a single scan of the dataset.

  1. Modeling direction discrimination thresholds for yaw rotations around an earth-vertical axis for arbitrary motion profiles.

    Science.gov (United States)

    Soyka, Florian; Giordano, Paolo Robuffo; Barnett-Cowan, Michael; Bülthoff, Heinrich H

    2012-07-01

    Understanding the dynamics of vestibular perception is important, for example, for improving the realism of motion simulation and virtual reality environments or for diagnosing patients suffering from vestibular problems. Previous research has found a dependence of direction discrimination thresholds for rotational motions on the period length (inverse frequency) of a transient (single cycle) sinusoidal acceleration stimulus. However, self-motion is seldom purely sinusoidal, and up to now, no models have been proposed that take into account non-sinusoidal stimuli for rotational motions. In this work, the influence of both the period length and the specific time course of an inertial stimulus is investigated. Thresholds for three acceleration profile shapes (triangular, sinusoidal, and trapezoidal) were measured for three period lengths (0.3, 1.4, and 6.7 s) in ten participants. A two-alternative forced-choice discrimination task was used where participants had to judge if a yaw rotation around an earth-vertical axis was leftward or rightward. The peak velocity of the stimulus was varied, and the threshold was defined as the stimulus yielding 75 % correct answers. In accordance with previous research, thresholds decreased with shortening period length (from ~2 deg/s for 6.7 s to ~0.8 deg/s for 0.3 s). The peak velocity was the determining factor for discrimination: Different profiles with the same period length have similar velocity thresholds. These measurements were used to fit a novel model based on a description of the firing rate of semi-circular canal neurons. In accordance with previous research, the estimates of the model parameters suggest that velocity storage does not influence perceptual thresholds.

  2. Comparison of bacterial DNA profiles of footwear insoles and soles of feet for the forensic discrimination of footwear owners.

    Science.gov (United States)

    Goga, Haruhisa

    2012-09-01

    It is crucial to identify the owner of unattended footwear left at a crime scene. However, retrieving enough DNA for DNA profiling from the owner's foot skin (plantar skin) cells from inside the footwear is often unsuccessful. This is sometimes because footwear that is used on a daily basis contains an abundance of bacteria that degrade DNA. Further, numerous other factors related to the inside of the shoe, such as high humidity and temperature, can encourage bacterial growth inside the footwear and enhance DNA degradation. This project sought to determine if bacteria from inside footwear could be used for footwear trace evidence. The plantar skins and insoles of shoes of volunteers were swabbed for bacteria, and their bacterial community profiles were compared using bacterial 16S rRNA terminal restriction fragment length polymorphism analysis. Sufficient bacteria were recovered from both footwear insoles and the plantar skins of the volunteers. The profiling identified that each volunteer's plantar skins harbored unique bacterial communities, as did the individuals' footwear insoles. In most cases, a significant similarity in the bacterial community was identified for the matched foot/insole swabs from each volunteer, as compared with those profiles from different volunteers. These observations indicate the probability to discriminate the owner of footwear by comparing the microbial DNA fingerprint from inside footwear with that of the skin from the soles of the feet of the suspected owner. This novel strategy will offer auxiliary forensic footwear evidence for human DNA identification, although further investigations into this technique are required.

  3. Speech discrimination difficulties in High-Functioning Autism Spectrum Disorder are likely independent of auditory hypersensitivity.

    Directory of Open Access Journals (Sweden)

    William Andrew Dunlop

    2016-08-01

    Full Text Available Autism Spectrum Disorder (ASD, characterised by impaired communication skills and repetitive behaviours, can also result in differences in sensory perception. Individuals with ASD often perform normally in simple auditory tasks but poorly compared to typically developed (TD individuals on complex auditory tasks like discriminating speech from complex background noise. A common trait of individuals with ASD is hypersensitivity to auditory stimulation. No studies to our knowledge consider whether hypersensitivity to sounds is related to differences in speech-in-noise discrimination. We provide novel evidence that individuals with high-functioning ASD show poor performance compared to TD individuals in a speech-in-noise discrimination task with an attentionally demanding background noise, but not in a purely energetic noise. Further, we demonstrate in our small sample that speech-hypersensitivity does not appear to predict performance in the speech-in-noise task. The findings support the argument that an attentional deficit, rather than a perceptual deficit, affects the ability of individuals with ASD to discriminate speech from background noise. Finally, we piloted a novel questionnaire that measures difficulty hearing in noisy environments, and sensitivity to non-verbal and verbal sounds. Psychometric analysis using 128 TD participants provided novel evidence for a difference in sensitivity to non-verbal and verbal sounds, and these findings were reinforced by participants with ASD who also completed the questionnaire. The study was limited by a small and high-functioning sample of participants with ASD. Future work could test larger sample sizes and include lower-functioning ASD participants.

  4. Sex assessment from carpals bones: discriminant function analysis in a contemporary Mexican sample.

    Science.gov (United States)

    Mastrangelo, Paola; De Luca, Stefano; Sánchez-Mejorada, Gabriela

    2011-06-15

    Sex assessment is one of the first essential steps in human identification, in both medico-legal cases and bio-archaeological contexts. Fragmentary human remains compromised by different types of burial or physical insults may frustrate the use of the traditional sex estimation methods, such as the analysis of the skull and pelvis. Currently, the application of discriminant functions to sex unidentified skeletal remains is steadily increasing. However, several studies have demonstrated that, due to variation in size and patterns of sexual dimorphism, discriminant functions are population-specific. In this study, in order to improve sex assessment from skeletal remains and to establish population-specific discriminant functions, the diagnostic values of the carpal bones were considered. A sample of 136 individuals (78 males, 58 females) of known sex and age was analyzed. They belong to a contemporary identified collection from the Laboratory of Physical Anthropology, Faculty of Medicine, UNAM (Universidad Nacional Autónoma de México, Mexico City). The age of the individuals ranged between 25 and 85 years. Between four and nine measurements of each carpal bone were taken. Independent t-tests confirm that all carpals are sexually dimorphic. Univariate measurements produce accuracy levels that range from 61.8% to 90.8%. Classification accuracies ranged between 81.3% and 92.3% in the multivariate stepwise discriminant analysis. In addition, intra- and inter-observer error tests were performed. These indicated that replication of measurements was satisfactory for the same observer over time and between observers. These results suggest that carpal bones can be used for assessing sex in both forensic and bio-archaeological identification procedures and that bone dimensions are population specific. Copyright © 2011 Elsevier Ireland Ltd. All rights reserved.

  5. Speech Discrimination Difficulties in High-Functioning Autism Spectrum Disorder Are Likely Independent of Auditory Hypersensitivity

    Science.gov (United States)

    Dunlop, William A.; Enticott, Peter G.; Rajan, Ramesh

    2016-01-01

    Autism Spectrum Disorder (ASD), characterized by impaired communication skills and repetitive behaviors, can also result in differences in sensory perception. Individuals with ASD often perform normally in simple auditory tasks but poorly compared to typically developed (TD) individuals on complex auditory tasks like discriminating speech from complex background noise. A common trait of individuals with ASD is hypersensitivity to auditory stimulation. No studies to our knowledge consider whether hypersensitivity to sounds is related to differences in speech-in-noise discrimination. We provide novel evidence that individuals with high-functioning ASD show poor performance compared to TD individuals in a speech-in-noise discrimination task with an attentionally demanding background noise, but not in a purely energetic noise. Further, we demonstrate in our small sample that speech-hypersensitivity does not appear to predict performance in the speech-in-noise task. The findings support the argument that an attentional deficit, rather than a perceptual deficit, affects the ability of individuals with ASD to discriminate speech from background noise. Finally, we piloted a novel questionnaire that measures difficulty hearing in noisy environments, and sensitivity to non-verbal and verbal sounds. Psychometric analysis using 128 TD participants provided novel evidence for a difference in sensitivity to non-verbal and verbal sounds, and these findings were reinforced by participants with ASD who also completed the questionnaire. The study was limited by a small and high-functioning sample of participants with ASD. Future work could test larger sample sizes and include lower-functioning ASD participants. PMID:27555814

  6. Effect of ice massage on lower extremity functional performance and weight discrimination ability in collegiate footballers.

    Science.gov (United States)

    Sharma, Geeta; Noohu, Majumi Mohamad

    2014-09-01

    Cryotherapy, in the form of ice massge is used to reduce inflammation after acute musculoskeletal injury or trauma. The potential negative effects of ice massage on proprioception are unknown, despite equivocal evidence supporting its effectiveness. The purpose of the study was to test the influence of cooling on weight discrimination ability and hence the performance in footballers. The study was of same subject experimental design (pretest-posttest design). Thirty male collegiate football players, whose mean age was 21.07 years, participated in the study. The participants were assessed for two functional performance tests, single leg hop test and crossed over hop test and weight discrimination ability before and after ice massage for 5 minutes on hamstrings muscle tendon. Pre cooling scores of Single Leg Hop Test of the dominant leg in the subjects was 166.65 (± 10.16) cm and post cooling scores of the dominant leg was 167.25 (± 11.77) cm. Pre cooling scores of Crossed Over Hop Test of the dominant leg in the subjects was 174.14 (± 8.60) cm and post cooling scores of the dominant leg was 174.45 (± 9.28) cm. Pre cooling scores of Weight Discrimination Differential Threshold of the dominant leg in the subjects was 1.625 ± 1.179 kg compared with post cooling scores of the dominant leg 1.85 (± 1.91) kg. Pre cooling scores of single leg hop and crossed over hop test of the dominant leg in the subjects compared with post cooling scores of the dominant leg showed no significant differences and it was also noted that the weight discrimination ability (weight discrimination differential threshold) didn't show any significant difference. All the values are reported as mean ± SD. This study provides additional evidence that proprioceptive acuity in the hamstring muscles (biceps femoris) remains largely unaffected after ice application to the hamstrings tendon (biceps femoris).

  7. Functional Safety Specification of Communication Profile PROFIsafe

    Directory of Open Access Journals (Sweden)

    Jan Rofar

    2006-01-01

    Full Text Available Paper maps the trends in area of safety-related communication within PROFIBUS and PROFINET industry networks. There are analyses safety measures and Fail-safe parameters of PROFIsafe profile in version V2 and their localisation in Safety Communication Layer SCL, which guarantees Safety Integrity Level SIL according to standard IEC 61508. The last chapter analyses the reaction in the event of fault during transmission of messages.

  8. Pavlovian Extinction of the Discriminative Stimulus Effects of Nicotine and Ethanol in Rats Varies as a Function of Context

    Science.gov (United States)

    Troisi, Joseph R., II

    2011-01-01

    Operant extinction contingencies can undermine the discriminative stimulus effects of drugs. Here, nicotine (0.4 mg/kg) and ethanol (0.8 g/kg) first functioned as either an S[superscript D] or S[superscript Delta], in a counterbalanced one-lever go/no-go (across sessions) operant drug discrimination procedure. Pavlovian extinction in the training…

  9. Pinpointing the classifiers of English language writing ability: A discriminant function analysis approach

    Directory of Open Access Journals (Sweden)

    Mohammad Ali Shams

    2013-02-01

    Full Text Available     The major aim of this paper was to investigate the validity of language and intelligence factors for classifying Iranian English learners` writing performance. Iranian participants of the study took three tests for grammar, breadth, and depth of vocabulary, and two tests for verbal and narrative intelligence. They also produced a corpus of argumentative writings in answer to IELTS specimen. Several runs of discriminant function analyses were used to examine the classifying power of the five variables for discriminating between low and high ability L2 writers. The results revealed that among language factors, depth of vocabulary (collocational knowledge produces the best discriminant function. In general, narrative intelligence was found to be the most reliable predictor for membership in low or high groups. It was also found that, among the five sub-abilities of narrative intelligence, emplotment carries the highest classifying value. Finally, the applications and implications of the results for second language researchers, cognitive scientists, and applied linguists were discussed.Â

  10. Discrimination of schizophrenia auditory hallucinators by machine learning of resting-state functional MRI.

    Science.gov (United States)

    Chyzhyk, Darya; Graña, Manuel; Öngür, Döst; Shinn, Ann K

    2015-05-01

    Auditory hallucinations (AH) are a symptom that is most often associated with schizophrenia, but patients with other neuropsychiatric conditions, and even a small percentage of healthy individuals, may also experience AH. Elucidating the neural mechanisms underlying AH in schizophrenia may offer insight into the pathophysiology associated with AH more broadly across multiple neuropsychiatric disease conditions. In this paper, we address the problem of classifying schizophrenia patients with and without a history of AH, and healthy control (HC) subjects. To this end, we performed feature extraction from resting state functional magnetic resonance imaging (rsfMRI) data and applied machine learning classifiers, testing two kinds of neuroimaging features: (a) functional connectivity (FC) measures computed by lattice auto-associative memories (LAAM), and (b) local activity (LA) measures, including regional homogeneity (ReHo) and fractional amplitude of low frequency fluctuations (fALFF). We show that it is possible to perform classification within each pair of subject groups with high accuracy. Discrimination between patients with and without lifetime AH was highest, while discrimination between schizophrenia patients and HC participants was worst, suggesting that classification according to the symptom dimension of AH may be more valid than discrimination on the basis of traditional diagnostic categories. FC measures seeded in right Heschl's gyrus (RHG) consistently showed stronger discriminative power than those seeded in left Heschl's gyrus (LHG), a finding that appears to support AH models focusing on right hemisphere abnormalities. The cortical brain localizations derived from the features with strong classification performance are consistent with proposed AH models, and include left inferior frontal gyrus (IFG), parahippocampal gyri, the cingulate cortex, as well as several temporal and prefrontal cortical brain regions. Overall, the observed findings suggest that

  11. Subtypes of adolescents with substance use disorders and psychiatric comorbidity using cluster and discriminant analysis of MMPI-A profiles.

    Science.gov (United States)

    Magallón-Neri, Ernesto; Díaz, Rosa; Forns, Maria; Goti, Javier; Canalda, Gloria; Castro-Fornieles, Josefina

    2012-01-01

    The main aim of this study was to replicate and extend previous results on subtypes of adolescents with substance use disorders (SUD), according to their Minnesota Multiphasic Personality Inventory for adolescents (MMPI-A) profiles. Sixty patients with SUD and psychiatric comorbidity (41.7% male, mean age = 15.9 years old) completed the MMPI-A, the Teen Addiction Severity Index (T-ASI), the Child Behaviour Checklist (CBCL), and were interviewed in order to determine DSMIV diagnoses and level of substance use. Mean MMPI-A personality profile showed moderate peaks in Psychopathic Deviate, Depression and Hysteria scales. Hierarchical cluster analysis revealed four profiles (acting-out, 35% of the sample; disorganized-conflictive, 15%; normative-impulsive, 15%; and deceptive-concealed, 35%). External correlates were found between cluster 1, CBCL externalizing symptoms at a clinical level and conduct disorders, and between cluster 2 and mixed CBCL internalized/externalized symptoms at a clinical level. Discriminant analysis showed that Depression, Psychopathic Deviate and Psychasthenia MMPI-A scales correctly classified 90% of the patients into the clusters obtained.

  12. Experimental verification of modified synthetic discriminant function filters for rotation invariance.

    Science.gov (United States)

    Reid, M B; Ma, P W; Downie, J D; Ochoa, E

    1990-03-10

    A modified binary synthetic discriminant function filter designed to recognize objects over a range of rotated views has been verified on a laboratory optical correlator. A binary synthetic discriminant function filter has been previously described that will produce a specified correlation response for a set of training images. [See D. A. Jared and D. J. Ennis, "Inclusion of Filter Modulation in Synthetic-Discriminant-Function Construction," Appl. Opt. 28, 232-239 (1989).] In the filter design, the modulation characteristics of the device onto which the filter is mapped are included in the synthesis equations. The system of nonlinear equations is then solved using an iteration procedure based on the Newton-Raphson algorithm. The development of the filter-SDF (fSDF) method was driven by the practical concern to make currently available spatial light modulators with limited modulation capabilities functional for distortion invariant pattern recognition. This technique is used to synthesize filters for a binary magnetooptic spatial light modulator (MOSLM), the Sight-MOD produced by Semetex. Two MOSLMs are used in the laboratory correlator, one in the filter plane and one in the input plane. We demonstrate that a single filter produces equal correlation peaks for a sample object (a Shuttle Orbiter in these tests) over in-plane and out-of-plane rotation ranges up to 75 degrees . The correlator is able to track dynamically the shuttle as it moves along a curved path across the input field. Views of the object in between those in the training set are also recognized when training images are sufficiently close in angle (~5 degrees apart).

  13. Blood cell gene expression profiling in rheumatoid arthritis. Discriminative genes and effect of rheumatoid factor

    DEFF Research Database (Denmark)

    Bovin, Lone Frier; Rieneck, Klaus; Workman, Christopher

    2004-01-01

    beta1 (HLA-DQB1) was significantly reduced in RA patients compared to healthy controls. Conclusions: With the analytical procedure employed, we did not find any indication that RF-positive and RF-negative RA are two fundamentally different diseases. Most of the genes discriminative between RA patients......To study the pathogenic importance of the rheumatoid factor (RF) in rheumatoid arthritis (RA) and to identify genes differentially expressed in patients and healthy individuals, total RNA was isolated from peripheral blood mononuclear cells (PBMC) from eight RF-positive and six RF-negative RA...... patients, and seven healthy controls. Gene expression of about 10,000 genes were examined using oligonucleotide-based DNA chip microarrays. The analyses showed no significant differences in PBMC expression patterns from RF-positive and RF-negative patients. However, comparisons of gene expression patterns...

  14. Blood cell gene expression profiling in rheumatoid arthritis - Discriminative genes and effect of rheumatoid factor

    DEFF Research Database (Denmark)

    Bovin, L.F.; Rieneck, K.; Workman, Christopher

    2004-01-01

    beta1 (HLA-DQB1) was significantly reduced in RA patients compared to healthy controls. Conclusions: With the analytical procedure employed, we did not find any indication that RF-positive and RF-negative RA are two fundamentally different diseases. Most of the genes discriminative between RA patients......To study the pathogenic importance of the rheumatoid factor (RF) in rheumatoid arthritis (RA) and to identify genes differentially expressed in patients and healthy individuals, total RNA was isolated from peripheral blood mononuclear cells (PBMC) from eight RF-positive and six RF-negative RA...... patients, and seven healthy controls. Gene expression of about 10,000 genes were examined using oligonucleotide-based DNA chip microarrays. The analyses showed no significant differences in PBMC expression patterns from RF-positive and RF-negative patients. However, comparisons of gene expression patterns...

  15. An Investigation of Structure, Flexibility, and Function Variables that Discriminate Asymptomatic Foot Types.

    Science.gov (United States)

    Shultz, Sarah P; Song, Jinsup; Kraszewski, Andrew P; Hafer, Jocelyn F; Rao, Smita; Backus, Sherry; Hillstrom, Rajshree M; Hillstrom, Howard J

    2017-07-01

    It has been suggested that foot type considers not only foot structure (high, normal, low arch), but also function (overpronation, normal, oversupination) and flexibility (reduced, normal, excessive). Therefore, this study used canonical regression analyses to assess which variables of foot structure, function, and flexibility can accurately discriminate between clinical foot type classifications. The feet of 61 asymptomatic, healthy adults (18-77 years) were classified as cavus (N = 24), rectus (N = 54), or planus (N = 44) using standard clinical measures. Custom jigs assessed foot structure and flexibility. Foot function was assessed using an emed-x plantar pressure measuring device. Canonical regression analyses were applied separately to extract essential structure, flexibility, and function variables. A third canonical regression analysis was performed on the extracted variables to identify a combined model. The initial combined model included 30 extracted variables; however 5 terminal variables (malleolar valgus index, arch height index while sitting, first metatarsophalangeal joint laxity while standing, pressure-time integral and maximum contact area of medial arch) were able to correctly predict 80.7% of foot types. These remaining variables focused on specific foot characteristics (hindfoot alignment, arch height, midfoot mechanics, Windlass mechanism) that could be essential to discriminating foot type.

  16. Discriminative local subspaces in gene expression data for effective gene function prediction.

    Science.gov (United States)

    Puelma, Tomas; Gutiérrez, Rodrigo A; Soto, Alvaro

    2012-09-01

    Massive amounts of genome-wide gene expression data have become available, motivating the development of computational approaches that leverage this information to predict gene function. Among successful approaches, supervised machine learning methods, such as Support Vector Machines (SVMs), have shown superior prediction accuracy. However, these methods lack the simple biological intuition provided by co-expression networks (CNs), limiting their practical usefulness. In this work, we present Discriminative Local Subspaces (DLS), a novel method that combines supervised machine learning and co-expression techniques with the goal of systematically predict genes involved in specific biological processes of interest. Unlike traditional CNs, DLS uses the knowledge available in Gene Ontology (GO) to generate informative training sets that guide the discovery of expression signatures: expression patterns that are discriminative for genes involved in the biological process of interest. By linking genes co-expressed with these signatures, DLS is able to construct a discriminative CN that links both, known and previously uncharacterized genes, for the selected biological process. This article focuses on the algorithm behind DLS and shows its predictive power using an Arabidopsis thaliana dataset and a representative set of 101 GO terms from the Biological Process Ontology. Our results show that DLS has a superior average accuracy than both SVMs and CNs. Thus, DLS is able to provide the prediction accuracy of supervised learning methods while maintaining the intuitive understanding of CNs. A MATLAB® implementation of DLS is available at http://virtualplant.bio.puc.cl/cgi-bin/Lab/tools.cgi.

  17. Discriminant function analysis for sex assessment in pelvic girdle bones: sample from the contemporary Mexican population.

    Science.gov (United States)

    Gómez-Valdés, Jorge Alfredo; Torres Ramírez, Guillermo; Báez Molgado, Socorro; Herrera Sain-Leu, Patricia; Castrejón Caballero, José Luis; Sánchez-Mejorada, Gabriela

    2011-03-01

    Sex assessment of skeletal remains plays an important role in forensic anthropology. The pelvic bones are the most studied part of the postcranial skeleton for the assessment of sex. It is evident that a population-specific approach improves rates of accuracy within the group. The present study proposes a discriminant function method for the sex assessment of skeletal remains from a contemporary Mexican population. A total of 146 adult human pelvic bones (61 females and 85 males) from the skeletal series pertaining to the National Autonomous University of Mexico were evaluated. Twenty-four direct metrical parameters of coxal and sacral bones were measured and subsequently, sides and sex differences were evaluated, applying a stepwise discriminant function analysis. Coxal and sacra functions achieved accuracies of 99% and 87%, respectively. These analyses follow a population-specific approach; nevertheless, we consider that our results are applicable to any other Hispanic samples for purposes of forensic human identification. © 2011 American Academy of Forensic Sciences.

  18. Arbitrary conditional discriminative functions of meaningful stimuli and enhanced equivalence class formation.

    Science.gov (United States)

    Nedelcu, Roxana I; Fields, Lanny; Arntzen, Erik

    2015-03-01

    Equivalence class formation by college students was influenced through the prior acquisition of conditional discriminative functions by one of the abstract stimuli (C) in the to-be-formed classes. Participants in the GR-0, GR-1, and GR-5 groups attempted to form classes under the simultaneous protocol, after mastering 0, 1, or 5 conditional relations between C and other abstract stimuli (V, W, X, Y, Z) that were not included in the to-be-formed classes (ABCDE). Participants in the GR-many group attempted to form classes that contained four abstract stimuli and one meaningful picture as the C stimulus. In the GR-0, GR-1, GR-5, and GR-many groups, classes were formed by 17, 25, 58, and 67% of participants, respectively. Thus, likelihood of class formation was enhanced by the prior formation of five C-based conditional relations (the GR-5 vs. GR-0 condition), or the inclusion of a meaningful stimulus as a class member (the GR-many vs. GR-0 condition). The GR-5 and GR-many conditions produced very similar yields, indicating that class formation was enhanced to a similar degree by including a meaningful stimulus or an abstract stimulus that had become a member of five conditional relations prior to equivalence class formation. Finally, the low and high yields produced by the GR-1 and GR-5 conditions showed that the class enhancement effect of the GR-5 condition was due to the number of conditional relations established during preliminary training and not to the sheer amount of reinforcement provided while learning these conditional relations. Class enhancement produced by meaningful stimuli, then, can be attributed to their acquired conditional discriminative functions as well as their discriminative, connotative, and denotative properties. © Society for the Experimental Analysis of Behavior.

  19. From Protein Sequence to Protein Function via Multi-Label Linear Discriminant Analysis.

    Science.gov (United States)

    Wang, Hua; Yan, Lin; Huang, Heng; Ding, Chris

    2017-01-01

    Sequence describes the primary structure of a protein, which contains important structural, characteristic, and genetic information and thereby motivates many sequence-based computational approaches to infer protein function. Among them, feature-base approaches attract increased attention because they make prediction from a set of transformed and more biologically meaningful sequence features. However, original features extracted from sequence are usually of high dimensionality and often compromised by irrelevant patterns, therefore dimension reduction is necessary prior to classification for efficient and effective protein function prediction. A protein usually performs several different functions within an organism, which makes protein function prediction a multi-label classification problem. In machine learning, multi-label classification deals with problems where each object may belong to more than one class. As a well-known feature reduction method, linear discriminant analysis (LDA) has been successfully applied in many practical applications. It, however, by nature is designed for single-label classification, in which each object can belong to exactly one class. Because directly applying LDA in multi-label classification causes ambiguity when computing scatters matrices, we apply a new Multi-label Linear Discriminant Analysis (MLDA) approach to address this problem and meanwhile preserve powerful classification capability inherited from classical LDA. We further extend MLDA by l 1 -normalization to overcome the problem of over-counting data points with multiple labels. In addition, we incorporate biological network data using Laplacian embedding into our method, and assess the reliability of predicted putative functions. Extensive empirical evaluations demonstrate promising results of our methods.

  20. Functionalized Ionic Microgel Sensor Array for Colorimetric Detection and Discrimination of Metal Ions.

    Science.gov (United States)

    Zhou, Xianjing; Nie, Jingjing; Du, Binyang

    2017-06-21

    A functional ionic microgel sensor array was developed by using 1-(2-pyridinylazo)-2-naphthaleno (PAN)- and bromothymol blue (BTB)-functionalized ionic microgels, which were designed and synthesized by quaternization reaction and anion-exchange reaction, respectively. The PAN microgels (PAN-MG) and BTB microgels (BTB-MG) were spherical in shape with a narrow size distribution and exhibited characteristic colors in aqueous solution in the presence of various trace-metal ions, which could be visually distinguished by the naked eye. Such microgels could be used for the colorimetric detection of various metal ions in aqueous solution at submicromolar levels, which were lower than the U.S. Environmental Protection Agency standard for the safety limit of metal ions in drinking water. A total of 10 species of metal ions in aqueous solution, Ba 2+ , Cr 3+ , Mn 2+ , Pb 2+ , Fe 3+ , Co 2+ , Zn 2+ , Ni 2+ , Cu 2+ , and Al 3+ , were successfully discriminated by the as-constructed microgel sensor array combined with discriminant analysis, agglomerative hierarchical clustering, and leave-one-out cross-validation analysis.

  1. Improving the estimation of psychometric functions in 2AFC discrimination tasks

    Directory of Open Access Journals (Sweden)

    Miguel A García-Pérez

    2011-05-01

    Full Text Available Ulrich and Vorberg (2009 presented a method that fits distinct functions for each order of presentation of standard and test stimuli in a 2AFC discrimination task, which removes the contaminating influence of order effects from estimates of the difference limen. The two functions are fitted simultaneously under the constraint that their average evaluates to .5 when test and standard have the same magnitude, which was regarded as a general property of 2AFC tasks. This constraint implies that physical identity produces indistinguishability, which is valid when test and standard are identical except for magnitude along the dimension of comparison. However, indistinguishability does not occur at physical identity when test and standard differ on dimensions other than that along which they are compared (e.g., vertical and horizontal lines of the same length are not perceived to have the same length. In these cases, the method of Ulrich and Vorberg cannot be used. We propose a generalization of their method for use in such cases and illustrate it with data from a 2AFC experiment involving length discrimination of horizontal and vertical lines. The resultant data could be fitted with our generalization but not with the method of Ulrich and Vorberg. Further extensions of this method are discussed.

  2. Improving the estimation of psychometric functions in 2AFC discrimination tasks.

    Science.gov (United States)

    García-Pérez, Miguel A; Alcalá-Quintana, Rocío

    2011-01-01

    Ulrich and Vorberg (2009) presented a method that fits distinct functions for each order of presentation of standard and test stimuli in a two-alternative forced-choice (2AFC) discrimination task, which removes the contaminating influence of order effects from estimates of the difference limen. The two functions are fitted simultaneously under the constraint that their average evaluates to 0.5 when test and standard have the same magnitude, which was regarded as a general property of 2AFC tasks. This constraint implies that physical identity produces indistinguishability, which is valid when test and standard are identical except for magnitude along the dimension of comparison. However, indistinguishability does not occur at physical identity when test and standard differ on dimensions other than that along which they are compared (e.g., vertical and horizontal lines of the same length are not perceived to have the same length). In these cases, the method of Ulrich and Vorberg cannot be used. We propose a generalization of their method for use in such cases and illustrate it with data from a 2AFC experiment involving length discrimination of horizontal and vertical lines. The resultant data could be fitted with our generalization but not with the method of Ulrich and Vorberg. Further extensions of this method are discussed.

  3. Sex determination from the calcaneus in a 20th century Greek population using discriminant function analysis.

    Science.gov (United States)

    Peckmann, Tanya R; Orr, Kayla; Meek, Susan; Manolis, Sotiris K

    2015-12-01

    The skull and post-cranium have been used for the determination of sex for unknown human remains. However, in forensic cases where skeletal remains often exhibit postmortem damage and taphonomic changes the calcaneus may be used for the determination of sex as it is a preservationally favored bone. The goal of the present research was to derive discriminant function equations from the calcaneus for estimation of sex from a contemporary Greek population. Nine parameters were measured on 198 individuals (103 males and 95 females), ranging in age from 20 to 99 years old, from the University of Athens Human Skeletal Reference Collection. The statistical analyses showed that all variables were sexually dimorphic. Discriminant function score equations were generated for use in sex determination. The average accuracy of sex classification ranged from 70% to 90% for the univariate analysis, 82.9% to 87.5% for the direct method, and 86.2% for the stepwise method. Comparisons to other populations were made. Overall, the cross-validated accuracies ranged from 48.6% to 56.1% with males most often identified correctly and females most often misidentified. The calcaneus was shown to be useful for sex determination in the twentieth century Greek population. Copyright © 2015 The Chartered Society of Forensic Sciences. Published by Elsevier Ireland Ltd. All rights reserved.

  4. A functional profile of Left Dislocation in Biblical Hebrew

    African Journals Online (AJOL)

    Andrason, A, Dr

    The primary aim of this paper is to provide a functional profile of verbal Left Dislocation (=LD) constructions in ... 2) the prototypical and non-prototypical discourse-pragmatic functions achieved by the construction in ... Keywords: Left Dislocation, Information Structure, Discourse Pragmatics, Biblical Hebrew. 1. Introduction.

  5. The different morphologies of urachal adenocarcinoma do not discriminate genomically by micro-RNA expression profiling.

    Science.gov (United States)

    Bissonnette, Mei Lin Z; Kocherginsky, Masha; Tretiakova, Maria; Jimenez, Rafael E; Barkan, Güliz A; Mehta, Vikas; Sirintrapun, Sahussapont Joseph; Steinberg, Gary D; White, Kevin P; Stricker, Thomas; Paner, Gladell P

    2013-08-01

    Urachal adenocarcinoma has several morphologic presentations that include mucinous, enteric, signet ring cell, and not otherwise specified. Mixtures of these morphologies can occur, and percentage cut-offs are used for classification. The clinical significance of these morphologic types is currently unknown, and genetic analysis that could elucidate possible intertumoral differences has not been performed. In this study, we analyzed the micro-RNA expression profiles of 12 urachal adenocarcinomas classified using strict morphologic criteria (3 pure enteric, 3 pure mucinous, 2 signet ring cell [both 90% signet ring cell], 2 pure not otherwise specified, and 2 mixed cell types). Of 598 unique human micro-RNAs, 333 were expressed in more than 50% of the samples. Hierarchal clustering showed no distinct patterns in the genetic profiles of the morphologic types. However, there were individual micro-RNA differences when the different types were compared individually or grouped together, either by intracellular mucin production or by grouping enteric and signet ring cell together. In the later group, 13 messenger RNA species were differentially expressed (adjusted P value of ≤.05). However, these micro-RNA differences were small, suggesting more biologic similarity than differences among these entities. Thus, this study suggests that the different morphological subtypes may represent patterns of differentiation or a continuum of a single biological tumor type rather than several distinct types that arose from the urachal remnant epithelium. This finding, if further validated in larger studies, may have implications in future clinical therapeutic trials for urachal adenocarcinoma with regard to patient grouping and choice of therapy. Copyright © 2013 Elsevier Inc. All rights reserved.

  6. STR Profiling for Discrimination between Wild and Domestic Swine Specimens and between Main Breeds of Domestic Pigs Reared in Belarus.

    Directory of Open Access Journals (Sweden)

    Krzysztof Rębała

    Full Text Available A panel comprising 16 short tandem repeats (STRs and a gender-specific amelogenin marker was worked out and tested for robustness in discrimination between wild and domestic swine subspecies encountered in Europe, between regional populations of wild boars and between main breeds of domestic pigs reared in Belarus. The STR dataset comprised 310 wild boars, inhabiting all administrative regions of Belarus, and 313 domestic pigs, representing three local and three cosmopolitan lines. Additionally, a total of 835 wild boars were genotyped for the presence of melanocortin 1 receptor (MC1R alleles specific for domestic pigs. Correctness of assignment of STR profiles to appropriate populations was measured by log-likelihood ratios (log-LRs. All samples were correctly identified as wild boars or domestic pigs with average log-LR of 42.4 (LR = 2.6×1018. On the other hand, as many as 50 out of 835 (6.0% genotyped wild boars from Belarus possessed MC1R alleles specific to domestic pigs, demonstrating supremacy of our STR profiling system over traditional differentiation between wild boars and domestic pigs, based on single binary markers. Mean log-LRs for allocation of wild boars to their regions of origin and of domestic pigs to appropriate breeds were 2.3 (LR = 9.7 and 13.4 (LR = 6.6×105, respectively. Our results demonstrate the developed STR profiling system to be a highly efficient tool for differentiation between wild and domestic swine subspecies and between diverse breeds of domestic pigs as well as for verification of genetic identity of porcine specimens for the purpose of forensic investigations of wildlife crimes, assurance of veterinary public health, parentage control in animal husbandry, food safety management and traceability of livestock products.

  7. STR Profiling for Discrimination between Wild and Domestic Swine Specimens and between Main Breeds of Domestic Pigs Reared in Belarus

    Science.gov (United States)

    Rębała, Krzysztof; Rabtsava, Alina A.; Kotova, Svetlana A.; Kipen, Viachaslau N.; Zhurina, Natalja V.; Gandzha, Alla I.; Tsybovsky, Iosif S.

    2016-01-01

    A panel comprising 16 short tandem repeats (STRs) and a gender-specific amelogenin marker was worked out and tested for robustness in discrimination between wild and domestic swine subspecies encountered in Europe, between regional populations of wild boars and between main breeds of domestic pigs reared in Belarus. The STR dataset comprised 310 wild boars, inhabiting all administrative regions of Belarus, and 313 domestic pigs, representing three local and three cosmopolitan lines. Additionally, a total of 835 wild boars were genotyped for the presence of melanocortin 1 receptor (MC1R) alleles specific for domestic pigs. Correctness of assignment of STR profiles to appropriate populations was measured by log-likelihood ratios (log-LRs). All samples were correctly identified as wild boars or domestic pigs with average log-LR of 42.4 (LR = 2.6×1018). On the other hand, as many as 50 out of 835 (6.0%) genotyped wild boars from Belarus possessed MC1R alleles specific to domestic pigs, demonstrating supremacy of our STR profiling system over traditional differentiation between wild boars and domestic pigs, based on single binary markers. Mean log-LRs for allocation of wild boars to their regions of origin and of domestic pigs to appropriate breeds were 2.3 (LR = 9.7) and 13.4 (LR = 6.6×105), respectively. Our results demonstrate the developed STR profiling system to be a highly efficient tool for differentiation between wild and domestic swine subspecies and between diverse breeds of domestic pigs as well as for verification of genetic identity of porcine specimens for the purpose of forensic investigations of wildlife crimes, assurance of veterinary public health, parentage control in animal husbandry, food safety management and traceability of livestock products. PMID:27851802

  8. Neighborhood graph and learning discriminative distance functions for clinical decision support.

    Science.gov (United States)

    Tsymbal, Alexey; Zhou, Shaohua Kevin; Huber, Martin

    2009-01-01

    There are two essential reasons for the slow progress in the acceptance of clinical case retrieval and similarity search-based decision support systems; the especial complexity of clinical data making it difficult to define a meaningful and effective distance function on them and the lack of transparency and explanation ability in many existing clinical case retrieval decision support systems. In this paper, we try to address these two problems by introducing a novel technique for visualizing inter-patient similarity based on a node-link representation with neighborhood graphs and by considering two techniques for learning discriminative distance function that help to combine the power of strong "black box" learners with the transparency of case retrieval and nearest neighbor classification.

  9. Faster native vowel discrimination learning in musicians is mediated by an optimization of mnemonic functions.

    Science.gov (United States)

    Elmer, Stefan; Greber, Marielle; Pushparaj, Arethy; Kühnis, Jürg; Jäncke, Lutz

    2017-09-01

    The ability to discriminate phonemes varying in spectral and temporal attributes constitutes one of the most basic intrinsic elements underlying language learning mechanisms. Since previous work has consistently shown that professional musicians are characterized by perceptual and cognitive advantages in a variety of language-related tasks, and since vowels can be considered musical sounds within the domain of speech, here we investigated the behavioral and electrophysiological correlates of native vowel discrimination learning in a sample of professional musicians and non-musicians. We evaluated the contribution of both the neurophysiological underpinnings of perceptual (i.e., N1/P2 complex) and mnemonic functions (i.e., N400 and P600 responses) while the participants were instructed to judge whether pairs of native consonant-vowel (CV) syllables manipulated in the first formant transition of the vowel (i.e., from /tu/ to /to/) were identical or not. Results clearly demonstrated faster learning in musicians, compared to non-musicians, as reflected by shorter reaction times and higher accuracy. Most notably, in terms of morphology, time course, and voltage strength, this steeper learning curve was accompanied by distinctive N400 and P600 manifestations between the two groups. In contrast, we did not reveal any group differences during the early stages of auditory processing (i.e., N1/P2 complex), suggesting that faster learning was mediated by an optimization of mnemonic but not perceptual functions. Based on a clear taxonomy of the mnemonic functions involved in the task, results are interpreted as pointing to a relationship between faster learning mechanisms in musicians and an optimization of echoic (i.e., N400 component) and working memory (i.e., P600 component) functions. Copyright © 2017 Elsevier Ltd. All rights reserved.

  10. Histone modification profiles characterize function-specific gene regulation.

    Science.gov (United States)

    Jung, Inkyung; Kim, Dongsup

    2012-10-07

    Chromatin modification is ubiquitous in gene regulation. Despite much effort, a systematic investigation is needed to understand whether each modification has a unique property depending on the function of its associated genes. Here, we show that consideration of function-specific histone modification profiles is important for accurate prediction of gene expression levels, and is maintained across cell types. The performance improvement is thought to originate from the association between modifications and gene expression levels for each biological function. The varying relationship between histone modifications and gene expression levels can be partly explained by considering function-specific PolII recruitment mechanisms, and is supported by more accurate predictions of PolII occupancies with function-specific modification profiles. We suggest that the function-specific binding of transcription factors and chromatin regulators may explain similar gene regulatory mechanisms, such as function-specific PolII recruitment, in each functional gene set. Our study demonstrates that each histone modification has a different characteristic according to the function of its associated genes; thus, different combinations of histone modification profiles characterize function-specific gene regulation. The current analysis is available on our web server (biodb.kaist.ac.kr/impohis). Copyright © 2012 Elsevier Ltd. All rights reserved.

  11. Proteome Profiling Outperforms Transcriptome Profiling for Coexpression Based Gene Function Prediction

    Energy Technology Data Exchange (ETDEWEB)

    Wang, Jing; Ma, Zihao; Carr, Steven A.; Mertins, Philipp; Zhang, Hui; Zhang, Zhen; Chan, Daniel W.; Ellis, Matthew J. C.; Townsend, R. Reid; Smith, Richard D.; McDermott, Jason E.; Chen, Xian; Paulovich, Amanda G.; Boja, Emily S.; Mesri, Mehdi; Kinsinger, Christopher R.; Rodriguez, Henry; Rodland, Karin D.; Liebler, Daniel C.; Zhang, Bing

    2016-11-11

    Coexpression of mRNAs under multiple conditions is commonly used to infer cofunctionality of their gene products despite well-known limitations of this “guilt-by-association” (GBA) approach. Recent advancements in mass spectrometry-based proteomic technologies have enabled global expression profiling at the protein level; however, whether proteome profiling data can outperform transcriptome profiling data for coexpression based gene function prediction has not been systematically investigated. Here, we address this question by constructing and analyzing mRNA and protein coexpression networks for three cancer types with matched mRNA and protein profiling data from The Cancer Genome Atlas (TCGA) and the Clinical Proteomic Tumor Analysis Consortium (CPTAC). Our analyses revealed a marked difference in wiring between the mRNA and protein coexpression networks. Whereas protein coexpression was driven primarily by functional similarity between coexpressed genes, mRNA coexpression was driven by both cofunction and chromosomal colocalization of the genes. Functionally coherent mRNA modules were more likely to have their edges preserved in corresponding protein networks than functionally incoherent mRNA modules. Proteomic data strengthened the link between gene expression and function for at least 75% of Gene Ontology (GO) biological processes and 90% of KEGG pathways. A web application Gene2Net (http://cptac.gene2net.org) developed based on the three protein coexpression networks revealed novel gene-function relationships, such as linking ERBB2 (HER2) to lipid biosynthetic process in breast cancer, identifying PLG as a new gene involved in complement activation, and identifying AEBP1 as a new epithelial-mesenchymal transition (EMT) marker. Our results demonstrate that proteome profiling outperforms transcriptome profiling for coexpression based gene function prediction. Proteomics should be integrated if not preferred in gene function and human disease studies

  12. Chaining Functional Basketball Sequences (with Embedded Conditional Discriminations) in an Adolescent with Autism.

    Science.gov (United States)

    Lambert, Joseph M; Copeland, Bailey A; Karp, Erica L; Finley, Crystal I; Houchins-Juarez, Nealetta J; Ledford, Jennifer R

    2016-09-01

    Individuals with developmental disabilities successfully participate in fewer recreation activities, including sports activities, than their typically developing peers. Although a functional basketball-playing repertoire might increase social opportunities and physical health for these individuals, no research has outlined a behavior-analytic strategy for teaching this sport. In our study, we taught a 13-year-old male diagnosed with autism to play basketball. During phase 1, we employed discrete-trial training to establish proficiency with nine fundamental basketball skills (i.e., recruiting attention, passing, dribbling, etc.). During phase 2, we used a forward chaining procedure to teach-specific sequences of these component skills that are appropriate for playing offense and defense and for participating in a full-court basketball drill. The participant learned all pre-requisite skills and response chains came under the control of contextually appropriate discriminative stimuli.

  13. Distortion range of filter synthetic discriminant function binary phase-only filters

    Science.gov (United States)

    Jared, David A.

    1989-11-01

    This paper considers the performance of filter synthetic-discriminant-function binary-phase-only filters (fSDF-BPOFs) with images in the distortion range that were not members of the training set. This evaluation was performed to understand better the distortion range that can be effectively covered by fSDF-BPOFs. The peak correlation and peak clutter responses were measured over various distortion ranges for in-plane and out-of-plane rotations. The peak correlation initially decreased rapidly as the distortion range increased but decreased gradually as the distortion range became larger for the images used in this study. The distortion ranges that can be effectively covered by fSDF-BPOFs appear to be modest: 0-30 deg for in-plane rotation and 0-10 deg for out-of-plane rotation. The results indicate that a temporal multiplexing scheme will be required to cover a large distortion range when BPOFs are used.

  14. Quantitative Classification of Quartz by Laser Induced Breakdown Spectroscopy in Conjunction with Discriminant Function Analysis

    Directory of Open Access Journals (Sweden)

    A. Ali

    2016-01-01

    Full Text Available A responsive laser induced breakdown spectroscopic system was developed and improved for utilizing it as a sensor for the classification of quartz samples on the basis of trace elements present in the acquired samples. Laser induced breakdown spectroscopy (LIBS in conjunction with discriminant function analysis (DFA was applied for the classification of five different types of quartz samples. The quartz plasmas were produced at ambient pressure using Nd:YAG laser at fundamental harmonic mode (1064 nm. We optimized the detection system by finding the suitable delay time of the laser excitation. This is the first study, where the developed technique (LIBS+DFA was successfully employed to probe and confirm the elemental composition of quartz samples.

  15. Sexing Adult Pale-Winged Starlings Using Morphometric and Discriminant Function Analysis.

    Directory of Open Access Journals (Sweden)

    Laurence Henry

    Full Text Available Accurate sexing of birds is vital for behavioral studies but can be a real problem in the field, especially for monomorphic species. Our goal here was to characterize the morphology of male and female monomorphic pale-winged starlings (Onychognathus nabouroup, a South African sturnid whose plumage is sexually monomorphic. Morphological measurements of genetically sexed animals indicated that males were statistically larger than females for five measurements: Mass, tail length, tarsus length and wing length. By using a Discriminant Function Analysis based on the measurements taken by one ringer, we were able to predict correctly the sex of 81.10% of the birds of data collected in the field and 77.9% of museum skins independently of year of capture and ringer. The model developed here should be useful for further field studies of this species.

  16. The Effects of Test Order and Nodal Distance on the Emergence and Stability of Derived Discriminative Stimulus Functions

    Science.gov (United States)

    Rehfeldt, Ruth Anne; Dymond, Simon

    2005-01-01

    The present study examined the effects of equivalence test order and nodal distance on the emergence and stability of derived discriminative stimulus functions. Participants in 1 group were exposed to a transfer of functions test following a symmetry and equivalence test, another group of participants completed a symmetry and equivalence test…

  17. Profiles of bullying victimization, discrimination, social support, and school safety: Links with Latino/a youth acculturation, gender, depressive symptoms, and cigarette use.

    Science.gov (United States)

    Lorenzo-Blanco, Elma I; Unger, Jennifer B; Oshri, Assaf; Baezconde-Garbanati, Lourdes; Soto, Daniel

    2016-01-01

    Latino/a youth are at risk for symptoms of depression and cigarette smoking but this risk varies by acculturation and gender. To understand why some youth are at greater risk than others, we identified profiles of diverse community experiences (perceived discrimination, bullying victimization, social support, perceived school safety) and examined associations between profiles of community experience and depressive symptoms, cigarette smoking, acculturation, and gender. Data came from Project Red (Reteniendo y Entendiendo Diversidad para Salud), a school-based longitudinal study of acculturation among 1,919 Latino/a adolescents (52% female; 84% 14 years old; 87% U.S. born). Latent profile analysis (LPA) revealed 4 distinct profiles of community experience that varied by gender and acculturation. Boys were overrepresented in profile groups with high perceived discrimination, some bullying, and lack of positive experiences, while girls were overrepresented in groups with high bullying victimization in the absence and presence of other community experiences. Youth low on both U.S. and Latino/a cultural orientation described high perceived discrimination and lacked positive experiences, and were predominantly male. Profiles characterized by high perceived discrimination and /or high bullying victimization in the absence of positive experiences had higher levels of depressive symptoms and higher risk of smoking, relative to the other groups. Findings suggest that acculturation comes with diverse community experiences that vary by gender and relate to smoking and depression risk. Results from this research can inform the development of tailored intervention and prevention strategies to reduce depression and/or smoking for Latino/a youth. (c) 2016 APA, all rights reserved).

  18. Profiles of Bullying Victimization, Discrimination, Social Support, and School Safety: Links with Latino/a Youth Acculturation, Gender, Depressive Symptoms, and Cigarette Use

    Science.gov (United States)

    Lorenzo-Blanco, Elma I.; Unger, Jennifer B.; Oshri, Assaf; Baezconde-Garbanati, Lourdes; Soto, Daniel

    2016-01-01

    Latino/a youth are at risk for symptoms of depression and cigarette smoking but this risk varies by acculturation and gender. To understand why some youth are at greater risk than others, we identified profiles of diverse community experiences (perceived discrimination, bullying victimization, social support, perceived school safety) and examined associations between profiles of community experience and depressive symptoms, cigarette smoking, acculturation, and gender. Data came from Project Red (Reteniendo y Entendiendo Diversidad para Salud), a school-based longitudinal study of acculturation among 1919 Latino/a adolescents (52% female; 84% 14 years old; 87% U.S. born). Latent profile analysis (LPA) revealed four distinct profiles of community experience which varied by gender and acculturation. Boys were overrepresented in profile groups with high perceived discrimination, some bullying, and lack of positive experiences, while girls were overrepresented in groups with high bullying victimization in the absence and presence of other community experiences. Youth low on both U.S. and Latino/a cultural orientation described high perceived discrimination and lacked positive experiences, and were predominantly male. Profiles characterized by high perceived discrimination and/or high bullying victimization in the absence of positive experiences had higher levels of depressive symptoms and higher risk of smoking, relative to the other groups. Findings suggest that acculturation comes with diverse community experiences that vary by gender and relate to smoking and depression risk. Results from this research can inform the development of tailored intervention and prevention strategies to reduce depression and/or smoking for Latino/a youth at risk for depression and/or smoking. PMID:26752445

  19. Executive Functioning Profiles and Test Anxiety in College Students

    Science.gov (United States)

    O'Donnell, Patrick S.

    2017-01-01

    The current study attempted to answer whether a specific executive functioning profile for individuals with test anxiety exists and whether deficits in working memory are associated with an earlier onset of test anxiety. Two hundred eighty-four undergraduate students completed a survey on test anxiety and self-report measures of test anxiety and…

  20. Ensemble-based computational approach discriminates functional activity of p53 cancer and rescue mutants.

    Directory of Open Access Journals (Sweden)

    Özlem Demir

    2011-10-01

    Full Text Available The tumor suppressor protein p53 can lose its function upon single-point missense mutations in the core DNA-binding domain ("cancer mutants". Activity can be restored by second-site suppressor mutations ("rescue mutants". This paper relates the functional activity of p53 cancer and rescue mutants to their overall molecular dynamics (MD, without focusing on local structural details. A novel global measure of protein flexibility for the p53 core DNA-binding domain, the number of clusters at a certain RMSD cutoff, was computed by clustering over 0.7 µs of explicitly solvated all-atom MD simulations. For wild-type p53 and a sample of p53 cancer or rescue mutants, the number of clusters was a good predictor of in vivo p53 functional activity in cell-based assays. This number-of-clusters (NOC metric was strongly correlated (r(2 = 0.77 with reported values of experimentally measured ΔΔG protein thermodynamic stability. Interpreting the number of clusters as a measure of protein flexibility: (i p53 cancer mutants were more flexible than wild-type protein, (ii second-site rescue mutations decreased the flexibility of cancer mutants, and (iii negative controls of non-rescue second-site mutants did not. This new method reflects the overall stability of the p53 core domain and can discriminate which second-site mutations restore activity to p53 cancer mutants.

  1. A functional profile of gene expression in ARPE-19 cells

    Directory of Open Access Journals (Sweden)

    Johnson Dianna A

    2005-11-01

    Full Text Available Abstract Background Retinal pigment epithelium cells play an important role in the pathogenesis of age related macular degeneration. Their morphological, molecular and functional phenotype changes in response to various stresses. Functional profiling of genes can provide useful information about the physiological state of cells and how this state changes in response to disease or treatment. In this study, we have constructed a functional profile of the genes expressed by the ARPE-19 cell line of retinal pigment epithelium. Methods Using Affymetrix MAS 5.0 microarray analysis, genes expressed by ARPE-19 cells were identified. Using GeneChip® annotations, these genes were classified according to their known functions to generate a functional gene expression profile. Results We have determined that of approximately 19,044 unique gene sequences represented on the HG-U133A GeneChip® , 6,438 were expressed in ARPE-19 cells irrespective of the substrate on which they were grown (plastic, fibronectin, collagen, or Matrigel. Rather than focus our subsequent analysis on the identity or level of expression of each individual gene in this large data set, we examined the number of genes expressed within 130 functional categories. These categories were selected from a library of HG-U133A GeneChip® annotations linked to the Affymetrix MAS 5.0 data sets. Using this functional classification scheme, we were able to categorize about 70% of the expressed genes and condense the original data set of over 6,000 data points into a format with 130 data points. The resulting ARPE-19 Functional Gene Expression Profile is displayed as a percentage of ARPE-19-expressed genes. Conclusion The Profile can readily be compared with equivalent microarray data from other appropriate samples in order to highlight cell-specific attributes or treatment-induced changes in gene expression. The usefulness of these analyses is based on the assumption that the numbers of genes

  2. Stable Isotope Ratio and Elemental Profile Combined with Support Vector Machine for Provenance Discrimination of Oolong Tea (Wuyi-Rock Tea).

    Science.gov (United States)

    Lou, Yun-Xiao; Fu, Xian-Shu; Yu, Xiao-Ping; Ye, Zi-Hong; Cui, Hai-Feng; Zhang, Ya-Fen

    2017-01-01

    This paper focused on an effective method to discriminate the geographical origin of Wuyi-Rock tea by the stable isotope ratio (SIR) and metallic element profiling (MEP) combined with support vector machine (SVM) analysis. Wuyi-Rock tea (n = 99) collected from nine producing areas and non-Wuyi-Rock tea (n = 33) from eleven nonproducing areas were analysed for SIR and MEP by established methods. The SVM model based on coupled data produced the best prediction accuracy (0.9773). This prediction shows that instrumental methods combined with a classification model can provide an effective and stable tool for provenance discrimination. Moreover, every feature variable in stable isotope and metallic element data was ranked by its contribution to the model. The results show that δ(2)H, δ(18)O, Cs, Cu, Ca, and Rb contents are significant indications for provenance discrimination and not all of the metallic elements improve the prediction accuracy of the SVM model.

  3. Estimating a Logistic Discrimination Functions When One of the Training Samples Is Subject to Misclassification: A Maximum Likelihood Approach.

    Directory of Open Access Journals (Sweden)

    Nico Nagelkerke

    Full Text Available The problem of discrimination and classification is central to much of epidemiology. Here we consider the estimation of a logistic regression/discrimination function from training samples, when one of the training samples is subject to misclassification or mislabeling, e.g. diseased individuals are incorrectly classified/labeled as healthy controls. We show that this leads to zero-inflated binomial model with a defective logistic regression or discrimination function, whose parameters can be estimated using standard statistical methods such as maximum likelihood. These parameters can be used to estimate the probability of true group membership among those, possibly erroneously, classified as controls. Two examples are analyzed and discussed. A simulation study explores properties of the maximum likelihood parameter estimates and the estimates of the number of mislabeled observations.

  4. Discriminant function analysis for opium and seed yield in opium poppy (Papaver somniferum L.

    Directory of Open Access Journals (Sweden)

    Yadav H.K.

    2008-01-01

    Full Text Available Opium poppy (Papaver somniferum L. is an important medicinal plant of pharmacopoel uses. Opium latex and its derivatives are used in different medicines as analgesic, narcotic, sedative, sudorific, hyponitic, antispasmodic, ant diarrhea and cough etc. Genetic improvement in opium and seed yield, component breeding is important and selection based on multiple characters is more beneficial in developing desired plant types. Therefore the present study was made on group of 22 strains of opium poppy to find out variability and suitable selection indices for opium and seed yield. Heritability in broad sense was high for capsule weight/plant, plant height, capsule length, stem diameter and opium yield. The discriminant functions based on single character were less efficient while on the basis of combination it was in general more efficient. The comparison of different functions revealed that capsule weight/plant, capsule length, plant height are major yield component and thus practicing selection for attainment of high opium and seed yield lines, maximum weight age could be given to these characters. The positive association of opium yield and seed yield suggested that by adopting suitable component breeding and selection, a dual-purpose variety (opium and seed yield may be developed.

  5. Identification of functionally methylated regions based on discriminant analysis through integrating methylation and gene expression data.

    Science.gov (United States)

    Zhang, Yuanyuan; Zhang, Junying

    2015-07-01

    DNA methylation is essential not only in cellular differentiation but also in diseases. Identification of differentially methylated patterns between case and control groups is important in understanding the mechanism and possible functionality of complex diseases. We propose a method to find possible functionally methylated regions which not only are differentially methylated but also have an effect on gene expression. It integrates methylation and gene expression data and is based on distance discriminant analysis (DDA). In the procedure of identifying differentially methylated regions (DMRs), we do not need to cluster methylation sites or partition the genome in advance. Therefore, the identified DMRs have a larger coverage than those of bump hunting and Ong's methods. Furthermore, through incorporating gene expression data as a complementary source, whether these DMRs are functional is determined through estimating the difference of the corresponding genes. Through a comparison of our approach with bump hunting and Ong's methods for simulation data, it is shown that our method is more powerful in identifying DMRs which have a larger distance in the genome, or only consist of a few sites and have higher sensitivity and specificity. Also, our method is more robust to heterogeneity of data. Applied to different real datasets, we find that most of the functional DMRs are hyper-methylated and located at CpG rich regions (e.g. islands, TSS200 and TSS1500), consistent with the fact that the methylation levels of CpG islands are higher in tumors than normal. Through comparing and analyzing the results of different datasets, we find that the change of methylation in some regions may be related to diseases through changing expression of the corresponding genes, and show the effectiveness of our method.

  6. In vivo metabolic flux profiling with stable isotopes discriminates sites and quantifies effects of mitochondrial dysfunction in C. elegans.

    Science.gov (United States)

    Vergano, Samantha Schrier; Rao, Meera; McCormack, Shana; Ostrovsky, Julian; Clarke, Colleen; Preston, Judith; Bennett, Michael J; Yudkoff, Marc; Xiao, Rui; Falk, Marni J

    2014-03-01

    Mitochondrial respiratory chain (RC) disease diagnosis is complicated both by an absence of biomarkers that sufficiently divulge all cases and limited capacity to quantify adverse effects across intermediary metabolism. We applied high performance liquid chromatography (HPLC) and mass spectrometry (MS) studies of stable-isotope based precursor-product relationships in the nematode, C. elegans, to interrogate in vivo differences in metabolic flux among distinct genetic models of primary RC defects and closely related metabolic disorders. C. elegans strains studied harbor single nuclear gene defects in complex I, II, or III RC subunits (gas-1, mev-1, isp-1); enzymes involved in coenzyme Q biosynthesis (clk-1), the tricarboxylic acid cycle (TCA, idh-1), or pyruvate metabolism (pdha-1); and central nodes of the nutrient-sensing signaling network that involve insulin response (daf-2) or the sirtuin homologue (sir-2.1). Synchronous populations of 2000 early larval stage worms were fed standard Escherichia coli on nematode growth media plates containing 1,6-(13)C2-glucose throughout their developmental period, with samples extracted on the first day of adult life in 4% perchloric acid with an internal standard. Quantitation of whole animal free amino acid concentrations and isotopic incorporation into amino and organic acids throughout development was performed in all strains by HPLC and isotope ratio MS, respectively. GC/MS analysis was also performed to quantify absolute isotopic incorporation in all molecular species of key TCA cycle intermediates in gas-1 and N2 adult worms. Genetic mutations within different metabolic pathways displayed distinct metabolic profiles. RC complex I (gas-1) and III (isp-1) subunit mutants, together with the coenzyme Q biosynthetic mutant (clk-1), shared a similar amino acid profile of elevated alanine and decreased glutamate. The metabolic signature of the complex II mutant (mev-1) was distinct from that of the other RC mutants but

  7. Domain-oriented functional analysis based on expression profiling

    Directory of Open Access Journals (Sweden)

    Greene Jonathan

    2002-10-01

    Full Text Available Abstract Background Co-regulation of genes may imply involvement in similar biological processes or related function. Many clusters of co-regulated genes have been identified using microarray experiments. In this study, we examined co-regulated gene families using large-scale cDNA microarray experiments on the human transcriptome. Results We present a simple model, which, for each probe pair, distills expression changes into binary digits and summarizes the expression of multiple members of a gene family as the Family Regulation Ratio. The set of Family Regulation Ratios for each protein family across multiple experiments is called a Family Regulation Profile. We analyzed these Family Regulation Profiles using Pearson Correlation Coefficients and derived a network diagram portraying relationships between the Family Regulation Profiles of gene families that are well represented on the microarrays. Our strategy was cross-validated with two randomly chosen data subsets and was proven to be a reliable approach. Conclusion This work will help us to understand and identify the functional relationships between gene families and the regulatory pathways in which each family is involved. Concepts presented here may be useful for objective clustering of protein functions and deriving a comprehensive protein interaction map. Functional genomic approaches such as this may also be applicable to the elucidation of complex genetic regulatory networks.

  8. The Effects of Initially Misclassified Data on the Effectiveness of Discriminant Function Analysis and Finite Mixture Modeling

    Science.gov (United States)

    Holden, Jocelyn E.; Kelley, Ken

    2010-01-01

    Classification procedures are common and useful in behavioral, educational, social, and managerial research. Supervised classification techniques such as discriminant function analysis assume training data are perfectly classified when estimating parameters or classifying. In contrast, unsupervised classification techniques such as finite mixture…

  9. A risk analysis approach for using discriminant functions to manage logging-related landslides on granitic terrain

    Science.gov (United States)

    Raymond M. Rice; Norman H. Pillsbury; Kurt W. Schmidt

    1985-01-01

    Abstract - A linear discriminant function, developed to predict debris avalanches after clearcut logging on a granitic batholith in northwestern California, was tested on data from two batholiths. The equation was inaccurate in predicting slope stability on one of them. A new equation based on slope, crown cover, and distance from a stream (retained from the original...

  10. Discriminating silt-and-clay from suspended-sand in rivers using side-looking acoustic profilers

    Science.gov (United States)

    Wright, Scott A.; Topping, David J.; Williams, Cory A.

    2010-01-01

    techniques rely on measurements of ancillary properties that correlate with suspended-sediment concentration and particle size and thus require the collection of traditional samples for calibration. Through in situ deployments, these methods can provide the high temporal resolution that cannot be achieved through traditional sampling. Here we focus on the evaluation of acoustic profiling techniques (e.g. acoustic-Doppler sideways-looking profilers, or ADPs). One major advantage of acoustic profiling is the ability to concurrently measure water velocity (using Doppler-shift methods) and suspended-sediment concentration such that suspended-sediment flux can be directly computed using data from a single instrument. Acoustic-Doppler profilers have become popular for measuring water velocity and discharge in rivers, through both moving-boat operations and from fixed deployments such as bank-mounted sideways-looking instruments (Hirsch and Costa, 2004, Muste et al., 2007). The method presented herein is most suited to sideways-looking applications as a complement to the "index velocity" technique, whereby an index velocity from a sideways-looking instrument is related to the cross-section average velocity (determined from moving-boat discharge measurements) as a means for developing a continuous water-discharge record (Ruhl and Simpson, 2005). Topping et al. (2007) presented a method for discriminating silt-and-clay from suspended sand, using single frequency ADPs. This method takes advantage of the relations among acoustic backscatter, sediment-induced acoustic attenuation, suspended-sediment concentration (SSC), and particle size distribution (PSD). Backscatter is the amount of sound scattered back and received at the transducer while sediment-induced attenuation is the amount of sound scattered in other directions and absorbed by the sediment particles. Both of these parameters can be measured with an ADP, and their different dependencies on SSC and PSD allow for the

  11. Modelling eutrophication and microbial risks in peri-urban river systems using discriminant function analysis.

    Science.gov (United States)

    Pinto, U; Maheshwari, B; Shrestha, S; Morris, C

    2012-12-01

    The methodology currently available to river managers for assessment of river conditions for eutrophication and microbial risks is often time consuming and costly. There is a need for efficient predictive tools based on easily measured variables for implementing appropriate management strategies and providing advice to local river users on river health and associated risks. Using the Hawkesbury-Nepean River system in New South Wales, Australia as case study, a stepwise discriminant function analysis was employed to develop two predictive models, one for river eutrophication risk and the other for microbial risk. The models are intended for a preliminary assessment of a river reach, particularly to assess the level of risk (high or low) for algal bloom and whether the river water is suitable for primary contact activities such as swimming. The input variables for both models included saturated dissolved oxygen and turbidity, while the eutrophication risk model included temperature as an additional variable. When validated with an independent data set, both models predicted the observed risk category accurately in two out of three instances. Since the models developed in this study use only two or three easy-to-measure variables, their application can help in rapid assessment of river conditions, result in potential cost saving in river monitoring programs and assist in providing timely advice to community and other users for a particular aspect of river use. Copyright © 2012 Elsevier Ltd. All rights reserved.

  12. Gene expression profiling: keys for investigating phloem functions.

    Science.gov (United States)

    Le Hir, Rozenn; Beneteau, Julie; Bellini, Catherine; Vilaine, Françoise; Dinant, Sylvie

    2008-06-01

    Phloem is the major route for transport of carbohydrates, amino acids, and other nutrients from source to sink tissues. Hormones, mRNAs, small RNAs and proteins also are transported by the phloem, and potentially play pivotal roles in communication between organs to coordinate plant development and physiology. A comprehensive understanding of the mechanisms involved in phloem transport and signalling is still lacking. Recent transcript profiling in several plant species has provided new insights to phloem-specialized functions. Here, we review conclusions regarding the unique functions of the phloem and discuss putative roles for mRNAs and small RNA species in long-distance signalling.

  13. Family profiles in eating disorders: family functioning and psychopathology

    Directory of Open Access Journals (Sweden)

    Cerniglia L

    2017-10-01

    Full Text Available Luca Cerniglia,1 Silvia Cimino,2 Mimma Tafà,2 Eleonora Marzilli,2 Giulia Ballarotto,2 Fabrizia Bracaglia2 1Faculty of Psychology, International Telematic University UNINETTUNO, 2Department of Dynamic and Clinical Psychology, University of Rome “La Sapienza”, Rome, Italy Abstract: Research has studied family functioning in families of patients suffering from eating disorders (EDs, particularly investigating the associations between mothers’ and daughters’ psychopathological symptoms, but limited studies have examined whether there are specific maladaptive psychological profiles characterizing the family as a whole when it includes adolescents with anorexia nervosa (AN, bulimia nervosa (BN, and binge eating disorder (BED. Through the collaboration of a network of public and private consultants, we recruited n=181 adolescents diagnosed for EDs (n=61 with AN, n=60 with BN, and n=60 with BEDs and their parents. Mothers, fathers, and youths were assessed through a self-report measure evaluating family functioning, and adolescents completed a self-report questionnaire assessing psychopathological symptoms. Results showed specific family functioning and psychopathological profiles based on adolescents’ diagnosis. Regression analyses also showed that family functioning characterized by rigidity predicted higher psychopathological symptoms. Our study underlines the importance of involving all members of the family in assessment and intervention programs when adolescent offspring suffer from EDs. Keywords: family functioning, eating disorders, adolescents, psychopathological risk

  14. Discriminant Multitaper Component Analysis of EEG

    DEFF Research Database (Denmark)

    Dyrholm, Mads; Sajda, Paul

    This work extends Bilinear Discriminant Component Analysis to the case of oscillatory activity with allowed phase-variability across trials. The proposed method learns a spatial profile together with a multitaper basis which can integrate oscillatory power in a band-limited fashion. We demonstrate......-rhythm, whose power is known to modulate as a function of which hand a subject plans to move, and thus is expected to be discriminative (predictive) of the subject’s response....

  15. Physical profiling and IR spectroscopy: simple and effective methods to discriminate between genuine and counterfeit samples of Viagra® and Cialis®.

    Science.gov (United States)

    Custers, Deborah; Vandemoortele, Suzanne; Bothy, Jean-Luc; De Beer, Jacques O; Courselle, Patricia; Apers, Sandra; Deconinck, Eric

    2016-01-01

    Counterfeit medicines are a global threat to public health. High amounts enter the European market, enforcing the need for simple techniques to help customs detect these pharmaceuticals. This study focused on physical profiling and IR spectroscopy to obtain a prime discrimination between genuine and illegal Viagra® and Cialis® medicines. Five post-tableting characteristics were explored: colour, mass, long length, short length, and thickness. Hypothesis testing showed that most illegal samples (between 60 and 100%) significantly differ from the genuine medicines, in particular for mass and long length. Classification and Regression Trees (CART) analysis resulted in a good discrimination between genuine and illegal medicines (98.93% correct classification rate for Viagra®, 99.42% for Cialis®). Moreover, CART confirmed the observation that mass and long length are the key physical characteristics which determine the observed discrimination. IR analysis was performed on tablets without blister and on tablets in intact blister. These data were analyzed using Soft Independent Modelling of Class Analogy (SIMCA) and Partial Least Squares - Discriminant Analysis (PLS-DA). Supervised techniques needed to be applied since Principal Component Analysis (PCA) was not able to generate the desired discrimination. Our study shows that a perfect discrimination between genuine and illegal medicines can be made by both SIMCA and PLS-DA without removing the tablets from the blister. This approach has the advantage of keeping the blister intact. Our study demonstrates that these user friendly techniques are reliable methods to aid customs to obtain a prime distinction between genuine and illegal samples on the spot. Copyright © 2015 John Wiley & Sons, Ltd. Copyright © 2015 John Wiley & Sons, Ltd.

  16. Developmental histories of perceived racial discrimination and diurnal cortisol profiles in adulthood: A 20-year prospective study

    Science.gov (United States)

    Adam, Emma K.; Heissel, Jennifer A.; Zeiders, Katharine H.; Richeson, Jennifer A.; Ross, Emily C.; Ehrlich, Katherine B.; Levy, Dorainne J.; Kemeny, Margaret; Brodish, Amanda B.; Malanchuk, Oksana; Peck, Stephen C.; Fuller-Rowell, Thomas E.; Eccles, Jacquelynne S.

    2015-01-01

    Perceived racial discrimination (PRD) has been associated with altered diurnal cortisol rhythms in past cross-sectional research. We investigate whether developmental histories of PRD, assessed prospectively, are associated with adult diurnal cortisol profiles. One-hundred and twelve (N = 50 Black, N = 62 White) adults from the Maryland Adolescent Development in Context Study provided saliva samples in adulthood (at approximately age 32 years) at waking, 30 min after waking, and at bedtime for 7 days. Diurnal cortisol measures were calculated, including waking cortisol levels, diurnal cortisol slopes, the cortisol awakening response (CAR), and average daily cortisol (AUC). These cortisol outcomes were predicted from measures of PRD obtained over a 20-year period beginning when individuals were in 7th grade (approximately age 12). Greater average PRD measured across the 20-year period predicted flatter adult diurnal cortisol slopes for both Black and White adults, and a lower CAR. Greater average PRD also predicted lower waking cortisol for Black, but not White adults. PRD experiences in adolescence accounted for many of these effects. When adolescent and young adult PRD are entered together predicting cortisol outcomes, PRD experiences in adolescence (but not young adulthood) significantly predicted flatter diurnal cortisol slopes for both Black and White adults. Adolescent, but not young adult PRD, also significantly predicted lower waking and lower average cortisol for Black adults. Young adult PRD was, however, a stronger predictor of the CAR, predicting a marginally lower CAR for Whites, and a significantly larger CAR for Blacks. Effects were robust to controlling for covariates including health behaviors, depression, income and parent education levels. PRD experiences interacted with parent education and income to predict aspects of the diurnal cortisol rhythm. Although these results suggest PRD influences on cortisol for both Blacks and Whites, the key

  17. Accuracy and reliability in sex determination from skulls: a comparison of Fordisc® 3.0 and the discriminant function analysis.

    Science.gov (United States)

    Guyomarc'h, Pierre; Bruzek, Jaroslav

    2011-05-20

    Identification in forensic anthropology and the definition of a biological profile in bioarchaeology are essential to each of those fields and use the same methodologies. Sex, age, stature and ancestry can be conclusive or dispensable, depending on the field. The Fordisc(®) 3.0 computer program was developed to aid in the identification of the sex, stature and ancestry of skeletal remains by exploiting the Forensic Data Bank (FDB) and computing discriminant function analyses (DFAs). Although widely used, this tool has been recently criticised, principally when used to determine ancestry. Two sub-samples of individuals of known sex were drawn from French (n=50) and Thai (n=91) osteological collections and used to assess the reliability of sex determination using Fordisc(®) 3.0 with 12 cranial measurements. Comparisons were made using the whole FDB as well as using select groups, taking into account the posterior and typicality probabilities. The results of Fordisc(®) 3.0 vary between 52.2% and 77.8% depending on the options and groups selected. Tests of published discriminant functions and the computation of specific DFA were performed in order to discuss the applicability of this software and, overall, to question the pertinence of the use of DFA and linear distances in sex determination, in light of the huge cranial morphological variability. Copyright © 2011 Elsevier Ireland Ltd. All rights reserved.

  18. Classification of gilthead sea bream (Sparus aurata) from 1H NMR lipid profiling combined with principal component and linear discriminant analysis.

    Science.gov (United States)

    Rezzi, Serge; Giani, Ivan; Héberger, Károly; Axelson, David E; Moretti, Vittorio M; Reniero, Fabiano; Guillou, Claude

    2007-11-28

    The combination of (1)H NMR fingerprinting of lipids from gilthead sea bream (Sparus aurata) with nonsupervised and supervised multivariate analysis was applied to differentiate wild and farmed fish and to classify farmed specimen according to their areas of production belonging to the Mediterranean basin. Principal component analysis (PCA) applied on processed (1)H NMR profiles made a clear distinction between wild and farmed samples. Linear discriminant analysis (LDA) allowed classification of samples according to the geographic origin, as well as for the wild and farmed status using both PCA scores and NMR data as variables. Variable selection for LDA was achieved with forward selection (stepwise) with a predefined 5% error level. The methods allowed the classification of 100% of the samples according to their wild and farmed status and 85-97% to geographic origin. Probabilistic neural network (PNN) analyses provided complementary means for the successful discrimination among classes investigated.

  19. Distinct patterns of functional and effective connectivity between perirhinal cortex and other cortical regions in recognition memory and perceptual discrimination.

    Science.gov (United States)

    O'Neil, Edward B; Protzner, Andrea B; McCormick, Cornelia; McLean, D Adam; Poppenk, Jordan; Cate, Anthony D; Köhler, Stefan

    2012-01-01

    Traditionally, the medial temporal lobe (MTL) is thought to be dedicated to declarative memory. Recent evidence challenges this view, suggesting that perirhinal cortex (PrC), which interfaces the MTL with the ventral visual pathway, supports highly integrated object representations in recognition memory and perceptual discrimination. Even with comparable representational demands, perceptual and memory tasks differ in numerous task demands and the subjective experience they evoke. Here, we tested whether such differences are reflected in distinct patterns of connectivity between PrC and other cortical regions, including differential involvement of prefrontal control processes. We examined functional magnetic resonance imaging data for closely matched perceptual and recognition memory tasks for faces that engaged right PrC equivalently. Multivariate seed analyses revealed distinct patterns of interactions: Right ventrolateral prefrontal and posterior cingulate cortices exhibited stronger functional connectivity with PrC in recognition memory; fusiform regions were part of the pattern that displayed stronger functional connectivity with PrC in perceptual discrimination. Structural equation modeling revealed distinct patterns of effective connectivity that allowed us to constrain interpretation of these findings. Overall, they demonstrate that, even when MTL structures show similar involvement in recognition memory and perceptual discrimination, differential neural mechanisms are reflected in the interplay between the MTL and other cortical regions.

  20. Comparing Linear Discriminant Function with Logistic Regression for the Two-Group Classification Problem.

    Science.gov (United States)

    Fan, Xitao; Wang, Lin

    The Monte Carlo study compared the performance of predictive discriminant analysis (PDA) and that of logistic regression (LR) for the two-group classification problem. Prior probabilities were used for classification, but the cost of misclassification was assumed to be equal. The study used a fully crossed three-factor experimental design (with…

  1. Disturbed functional brain interactions underlying deficient tactile object discrimination in Parkinson's disease

    NARCIS (Netherlands)

    Weder, B; Azari, NP; Knorr, U; Seitz, RJ; Keel, A; Nienhusmeier, M; Maguire, RP; Leenders, KL; Ludin, HP

    2000-01-01

    Somatosensory discrimination of cuboid objects was studied in a group of healthy volunteers and patients with Parkinson's disease using regional cerebral blood flow (rCBF) measurements obtained with positron emission tomography (PET) and O-15 labeled water [(H2O)-O-15]. A 6-[F-18]-fluoro-L-dopa

  2. Age-based hiring discrimination as a function of equity norms and self-perceived objectivity.

    Directory of Open Access Journals (Sweden)

    Nicole M Lindner

    Full Text Available Participants completed a questionnaire priming them to perceive themselves as either objective or biased, either before or after evaluating a young or old job applicant for a position linked to youthful stereotypes. Participants agreed that they were objective and tended to disagree that they were biased. Extending past research, both the objective and bias priming conditions led to an increase in age discrimination compared to the control condition. We also investigated whether equity norms reduced age discrimination, by manipulating the presence or absence of an equity statement reminding decision-makers of the legal prohibitions against discrimination "on the basis of age, disability, national or ethnic origin, race, religion, or sex." The presence of equity norms increased enthusiasm for both young and old applicants when participants were not already primed to think of themselves as objective, but did not reduce age-based hiring discrimination. Equity norms had no effect when individuals thought of themselves as objective - they preferred the younger more than the older job applicant. However, the presence of equity norms did affect individuals' perceptions of which factors were important to their hiring decisions, increasing the perceived importance of applicants' expertise and decreasing the perceived importance of the applicants' age. The results suggest that interventions that rely exclusively on decision-makers' intentions to behave equitably may be ineffective.

  3. Item Discrimination and Type I Error in the Detection of Differential Item Functioning

    Science.gov (United States)

    Li, Yanju; Brooks, Gordon P.; Johanson, George A.

    2012-01-01

    In 2009, DeMars stated that when impact exists there will be Type I error inflation, especially with larger sample sizes and larger discrimination parameters for items. One purpose of this study is to present the patterns of Type I error rates using Mantel-Haenszel (MH) and logistic regression (LR) procedures when the mean ability between the…

  4. Profiling Online Poker Players: Are Executive Functions Correlated with Poker Ability and Problem Gambling?

    Science.gov (United States)

    Schiavella, Mauro; Pelagatti, Matteo; Westin, Jerker; Lepore, Gabriele; Cherubini, Paolo

    2018-01-12

    Poker playing and responsible gambling both entail the use of the executive functions (EF), which are higher-level cognitive abilities. This study investigated if online poker players of different ability showed different performances in their EF and if so, which functions were the most discriminating for their playing ability. Furthermore, it assessed if the EF performance was correlated to the quality of gambling, according to self-reported questionnaires (PGSI, SOGS, GRCS). Three poker experts evaluated anonymized poker hand history files and, then, a trained professional administered an extensive neuropsychological test battery. Data analysis determined which variables of the tests correlated with poker ability and gambling quality scores. The highest correlations between EF test results and poker ability and between EF test results and gambling quality assessment showed that mostly different clusters of executive functions characterize the profile of the strong(er) poker player and those ones of the problem gamblers (PGSI and SOGS) and the one of the cognitions related to gambling (GRCS). Taking into consideration only the variables overlapping between PGSI and SOGS, we found some key predictive factors for a more risky and harmful online poker playing: a lower performance in the emotional intelligence competences (Emotional Quotient inventory Short) and, in particular, those grouped in the Intrapersonal scale (emotional self-awareness, assertiveness, self-regard, independence and self-actualization).

  5. The profile of social functioning in children with Down syndrome.

    Science.gov (United States)

    Næss, Kari-Anne B; Nygaard, Egil; Ostad, Johanne; Dolva, Anne-Stine; Lyster, Solveig-Alma Halaas

    2017-06-01

    Practitioners and researchers have asserted for decades that social functioning is a strength in children with Down syndrome (DS). Nevertheless, some studies have concluded that children with DS may be at greater risk of impaired social functioning compared to typically developing controls. This cross-sectional study explores the profile of social functioning (social capabilities and social problems) in six-year-old children with DS, compares it with that of typically developing children and reveals possible differences in predictors between groups. Parental reports and clinical tests were utilized. The children with DS had generally weaker social capabilities compared to nonverbal mental age-matched controls, but no significant differences were found for social interactive play, community functioning and prosocial behaviour. No significant differences in predictors for social capabilities between the groups were found. The children with DS had more social problems than the typically developing controls with a similar chronological age and those with a similar nonverbal mental age, but no significant differences in emotional symptoms were found between the children with DS and either comparison group. Vocabulary was a more important predictor of social problems in the children with DS than in the typically developing control groups. Interventions for children with DS should strongly focus on integrating vocabulary skills and social functioning starting at an early age. Implications for Rehabilitation Children with Down syndrome need help and support in social functioning. Systematic training to optimize social capabilities and to prevent social problems should be prioritized. Structured and explicit learning of words important for social interaction with peers and for conflict solutions should be emphasized. Integrated interventions focusing on social functioning and vocabulary should begin in preschool to prepare children for participation in mainstream education.

  6. Assessment of differential item functioning in the experiences of discrimination index: the Coronary Artery Risk Development in Young Adults (CARDIA) Study.

    Science.gov (United States)

    Cunningham, Timothy J; Berkman, Lisa F; Gortmaker, Steven L; Kiefe, Catarina I; Jacobs, David R; Seeman, Teresa E; Kawachi, Ichiro

    2011-12-01

    The psychometric properties of instruments used to measure self-reported experiences of discrimination in epidemiologic studies are rarely assessed, especially regarding construct validity. The authors used 2000-2001 data from the Coronary Artery Risk Development in Young Adults (CARDIA) Study to examine differential item functioning (DIF) in 2 versions of the Experiences of Discrimination (EOD) Index, an index measuring self-reported experiences of racial/ethnic and gender discrimination. DIF may confound interpretation of subgroup differences. Large DIF was observed for 2 of 7 racial/ethnic discrimination items: White participants reported more racial/ethnic discrimination for the "at school" item, and black participants reported more racial/ethnic discrimination for the "getting housing" item. The large DIF by race/ethnicity in the index for racial/ethnic discrimination probably reflects item impact and is the result of valid group differences between blacks and whites regarding their respective experiences of discrimination. The authors also observed large DIF by race/ethnicity for 3 of 7 gender discrimination items. This is more likely to have been due to item bias. Users of the EOD Index must consider the advantages and disadvantages of DIF adjustment (omitting items, constructing separate measures, and retaining items). The EOD Index has substantial usefulness as an instrument that can assess self-reported experiences of discrimination.

  7. Comparison of different discriminant functions for mangrove species analysis in Matang Mangrove Forest Reserve (MMFR), Perak based on statistical approach

    Science.gov (United States)

    Beh, Boon Chun; Tan, Kok Chooi; Mat Jafri, Mohd. Zubir; Lim, Hwee San

    2017-10-01

    Mangroves are known as salt-tolerant evergreen forests, whereas its create land-ocean interface ecosystems. Besides, mangroves bring direct and indirect benefits to human activities and play a major role as significant habitat for sustaining biodiversity. However, mangrove ecosystem study based on the mangrove species are very crucial to get a better understanding of their characteristics and ways to separate among them. In this paper, discriminant functions obtained using statistical approach were used to generate the score range for six mangrove species (Rhizophora apiculata, Acrostichum aurem, Acrostichum speciosum, Acanthus ilicifolius, Ceriops tagal and Sonneratia ovata) in Matang Mangrove Forest Reserve (MMFR), Perak. With the computation of score range for each species, the fraction of the species can be determined using the proposed algorithm. The results indicate that by using 11 discriminant functions out of 16 are more effective to separate the mangrove species as the higher accuracy was obtained. Overall, the determination of leaf sample's species is chosen base on the highest fraction measured among the six mangrove species. The obtained accuracy for mangrove species using statistical approach is low since it is impossible to successfully separate all the mangrove species in leaf level using their inherent reflectance properties. However, the obtained accuracy results are satisfactory and able to discriminate the examined mangrove species at species scale.

  8. Sex determination using discriminant function analysis in Indigenous (Kurubas) children and adolescents of Coorg, Karnataka, India: A lateral cephalometric study.

    Science.gov (United States)

    Devang Divakar, Darshan; John, Jacob; Al Kheraif, Abdulaziz Abdullah; Mavinapalla, Seema; Ramakrishnaiah, Ravikumar; Vellappally, Sajith; Hashem, Mohamed Ibrahim; Dalati, M H N; Durgesh, B H; Safadi, Rima A; Anil, Sukumaran

    2016-11-01

    Aim: To test the validity of sex discrimination using lateral cephalometric radiograph and discriminant function analysis in Indigenous (Kuruba) children and adolescents of Coorg, Karnataka, India. Methods and materials: Six hundred and sixteen lateral cephalograms of 380 male and 236 females of age ranging from 6.5 to 18 years of Indigenous population of Coorg, Karnataka, India called Kurubas having a normal occlusion were included in the study. Lateral cephalograms were obtained in a standard position with teeth in centric occlusion and lips relaxed. Each radiograph was traced and cephalometric landmarks were measured using digital calliper. Calculations of 24 cephalometric measurements were performed. Results: Males exhibited significantly greater mean angular and linear cephalometric measurements as compared to females ( p  discriminant function was assessed among study subjects; 100% of males and females were recognized correctly. Conclusion: The final outcome of this study validates the existence of sexual dimorphism in the skeleton as early as 6.5 years of age. There is a need for further research to determine other landmarks that can help in sex determination and norms for Indigenous (Kuruba) population and also other Indigenous population of Coorg, Karnataka, India.

  9. Sensory Profile and Consumers’ Liking of Functional Ovine Cheese

    Science.gov (United States)

    Santillo, Antonella; Albenzio, Marzia

    2015-01-01

    The present research was undertaken to evaluate the sensory profile and consumers’ liking of functional ovine cheese containing probiotic cultures. Ovine cheese was made from ewe’s milk by animals reared in extensive conditions; cheesemaking trials were performed by using rennet paste containing probiotic cells. Experimental cheeses were denoted: cheese manufactured using lamb rennet paste without probiotic (C), cheese manufactured using lamb rennet paste containing a mix of Bifidobacterium lactis and Bifidobacterium longum (BB), and cheese manufactured using lamb rennet paste containing Lactobacillus acidophilus (LA). Ovine cheese containing probiotic strains highlighted a more intense proteolysis and a greater level of short chain free fatty acids and conjugated linoleic acid due to the metabolic activity of the adjunct microflora. The sensorial profile of ovine cheese showed lower humidity and gumminess in cheeses containing probiotics as a consequence of differences in the maturing process; furthermore, probiotic cheeses scored higher ratings for salty and pungent attributes. An interaction effect of probiotic, gender, and age of the consumers was detected in the perceived and the expected liking. The higher rate of expected liking in all experimental cheeses is attributed to the information given, regarding not only the presence of probiotic strains but also the farming conditions and cheesemaking technology. PMID:28231229

  10. Does cognitive performance map to categorical diagnoses of schizophrenia, schizoaffective disorder and bipolar disorder? A discriminant functions analysis.

    Science.gov (United States)

    Van Rheenen, Tamsyn E; Bryce, Shayden; Tan, Eric J; Neill, Erica; Gurvich, Caroline; Louise, Stephanie; Rossell, Susan L

    2016-03-01

    Despite known overlaps in the pattern of cognitive impairments in individuals with bipolar disorder (BD), schizophrenia (SZ) and schizoaffective disorder (SZA), few studies have examined the extent to which cognitive performance validates traditional diagnostic boundaries in these groups. Individuals with SZ (n=49), schizoaffective disorder (n=33) and BD (n=35) completed a battery of cognitive tests measuring the domains of processing speed, immediate memory, semantic memory, learning, working memory, executive function and sustained attention. A discriminant functions analysis revealed a significant function comprising semantic memory, immediate memory and processing speed that maximally separated patients with SZ from those with BD. Initial classification scores on the basis of this function showed modest diagnostic accuracy, owing in part to the misclassification of SZA patients as having SZ. When SZA patients were removed from the model, a second cross-validated classifier yielded slightly improved diagnostic accuracy and a single function solution, of which semantic memory loaded most heavily. A cluster of non-executive cognitive processes appears to have some validity in mapping onto traditional nosological boundaries. However, since semantic memory performance was the primary driver of the discrimination between BD and SZ, it is possible that performance differences between the disorders in this cognitive domain in particular, index separate underlying aetiologies. Copyright © 2015 Elsevier B.V. All rights reserved.

  11. Development of a 3D Tissue Culture-Based High-Content Screening Platform That Uses Phenotypic Profiling to Discriminate Selective Inhibitors of Receptor Tyrosine Kinases.

    Science.gov (United States)

    Booij, Tijmen H; Klop, Maarten J D; Yan, Kuan; Szántai-Kis, Csaba; Szokol, Balint; Orfi, Laszlo; van de Water, Bob; Keri, Gyorgy; Price, Leo S

    2016-10-01

    3D tissue cultures provide a more physiologically relevant context for the screening of compounds, compared with 2D cell cultures. Cells cultured in 3D hydrogels also show complex phenotypes, increasing the scope for phenotypic profiling. Here we describe a high-content screening platform that uses invasive human prostate cancer cells cultured in 3D in standard 384-well assay plates to study the activity of potential therapeutic small molecules and antibody biologics. Image analysis tools were developed to process 3D image data to measure over 800 phenotypic parameters. Multiparametric analysis was used to evaluate the effect of compounds on tissue morphology. We applied this screening platform to measure the activity and selectivity of inhibitors of the c-Met and epidermal growth factor (EGF) receptor (EGFR) tyrosine kinases in 3D cultured prostate carcinoma cells. c-Met and EGFR activity was quantified based on the phenotypic profiles induced by their respective ligands, hepatocyte growth factor and EGF. The screening method was applied to a novel collection of 80 putative inhibitors of c-Met and EGFR. Compounds were identified that induced phenotypic profiles indicative of selective inhibition of c-Met, EGFR, or bispecific inhibition of both targets. In conclusion, we describe a fully scalable high-content screening platform that uses phenotypic profiling to discriminate selective and nonselective (off-target) inhibitors in a physiologically relevant 3D cell culture setting. © 2016 Society for Laboratory Automation and Screening.

  12. Discriminating brain activity from task-related artifacts in functional MRI: fractal scaling analysis simulation and application.

    Science.gov (United States)

    Lee, Jae-Min; Hu, Jing; Gao, Jianbo; Crosson, Bruce; Peck, Kyung K; Wierenga, Christina E; McGregor, Keith; Zhao, Qun; White, Keith D

    2008-03-01

    Functional magnetic resonance imaging (fMRI) signal changes can be separated from background noise by various processing algorithms, including the well-known deconvolution method. However, discriminating signal changes due to task-related brain activities from those due to task-related head motion or other artifacts correlated in time to the task has been little addressed. We examine whether three exploratory fractal scaling analyses correctly classify these possibilities by capturing temporal self-similarity; namely, fluctuation analysis, wavelet multi-resolution analysis, and detrended fluctuation analysis (DFA). We specifically evaluate whether these fractal analytic methods can be effective and reliable in discriminating activations from artifacts. DFA is indeed robust for such classification. Brain activation maps derived by DFA are similar, but not identical, to maps derived by deconvolution. Deconvolution explicitly utilizes task timing to extract the signals whereas DFA does not, so these methods reveal somewhat different information from the data. DFA is better than deconvolution for distinguishing fMRI activations from task-related artifacts, although a combination of these approaches is superior to either one taken alone. We also present a method for estimating noise levels in fMRI data, validated with numerical simulations suggesting that Birn's model is effective for simulating fMRI signals. Simulations further corroborate that DFA is excellent at discriminating signal changes due to task-related brain activities from those due to task-related artifacts, under a range of conditions.

  13. The Cardiovascular Function Profile and Physical Fitness in Overweight Subjects

    Science.gov (United States)

    Megawati, E. R.; Lubis, L. D.; Harahap, F. Y.

    2017-03-01

    Obesity in children and young adult is associated with cardiovascular risk in short term and long term. The aim of this study was to describe the profile of the cardiovascular functions parameters and physical fitness in overweight. This is an analytical observational study with cross sectional approach. The samples of this study were 85 randomly selected subjects aged 18 to 24 years with normoweight and body mass index parameters measures were body mass index (BMI), waist circumference (WC), waist-hip ratio (WHR), cardiovascular function parameters (resting pulse, blood pressure, and peak flow meter) and physical fitness parameters (VO2max dengan McArdle step test). The mean BMI was 24,53±4,929. The WC and WHR mean were 86,7±14,10 cms and 0,89±0,073 cm respectively. The mean of resting pulses were higher in normoweight subject (p=0,0209). The mean systole were lower in normoweight subject (p=0,0026). No differences VO2 max between groups (p=0,3888). The peak flow meter was higher in normoweight (p=0,0274). The result of this study indicate that heart rate, systole and peak flow meter are signifantly different between groups. The heart rate and the peak flow meter in the overweight subjects were lower meanwhile the systole blood pressure was higher compared to normoweight subjects.

  14. DNA barcoding and LC-MS metabolite profiling of the lichen-forming genus Melanelia: Specimen identification and discrimination focusing on Icelandic taxa.

    Science.gov (United States)

    Xu, Maonian; Heidmarsson, Starri; Thorsteinsdottir, Margret; Eiriksson, Finnur F; Omarsdottir, Sesselja; Olafsdottir, Elin S

    2017-01-01

    Taxa in the genus Melanelia (Parmeliaceae, Ascomycota) belong to a group of saxicolous lichens with brown to black foliose thalli, which have recently undergone extensive changes in circumscription. Taxa belonging to Parmeliaceae are prolific producers of bioactive compounds, which have also been traditionally used for chemotaxonomic purposes. However, the chemical diversity of the genus Melanelia and the use of chemical data for species discrimination in this genus are largely unexplored. In addition, identification based on morphological characters is challenging due to few taxonomically informative characters. Molecular identification methods, such as DNA barcoding, have rarely been applied to this genus. This study aimed to identify the Melanelia species from Iceland using DNA barcoding approach, and to explore their chemical diversity using chemical profiling. Chemometric tools were used to see if lichen metabolite profiles determined by LC-MS could be used for the identification of Icelandic Melanelia species. Barcoding using the fungal nuclear ribosomal internal transcribed spacer region (nrITS) successfully identified three Melalenlia species occurring in Iceland, together with Montanelia disjuncta (Basionym: Melanelia disjuncta). All species formed monophyletic clades in the neighbor-joining nrITS gene tree. However, high intraspecific genetic distance of M. stygia suggests the potential of unrecognized species lineages. Principal component analysis (PCA) of metabolite data gave a holistic overview showing that M. hepatizon and M. disjuncta were distinct from the rest, without the power to separate M. agnata and M. stygia due to their chemical similarity. Orthogonal partial least-squares to latent structures-discriminate analysis (OPLS-DA), however, successfully distinguished M. agnata and M. stygia by identifying statistically significant metabolites, which lead to class differentiation. This work has demonstrated the potential of DNA barcoding, chemical

  15. Application of Peptide LC Retention Time Information in a Discriminant Function for Peptide Identification by Tandem Mass Spectrometry

    Energy Technology Data Exchange (ETDEWEB)

    Strittmatter, Eric F.; Kangas, Lars J.; Petritis, Konstantinos; Mottaz, Heather M.; Anderson, Gordon A.; Shen, Yufeng; Jacobs, Jon M.; Camp, David G.; Smith, Richard D.

    2004-07-09

    We describe the application of a peptide retention time reversed phase liquid chromatography (RPLC) prediction model previously reported (Petritis et al. Anal. Chem. 99, 2002, 11049) for improved peptide identification. The model uses peptide sequence information to generate a theoretical (predicted) elution time that can be compared with the observed elution time. Using data from a set of known proteins, the retention time parameter was incorporated into a discriminant function for use with tandem mass spectrometry (MS/MS) data analyzed with the peptide/protein identification program SEQUEST. For singly charged ions, the number of identifications increased by 12% when the elution time metric is included compared to when mass spectral data is the sole source of information in the context of a Drosophila melanogaster database. A 3-4% improvement was obtained for doubly and triply charged ions for the same biological system. Application to the larger Rattus norvegicus (rat) and human proteome databases resulted in an 8-9% overall increase in the number of identifications, when both the discriminant function and elution time are used. The effect of adding “runner-up” hits (peptide matches that are not the highest scoring for a spectra) from SEQUEST is also explored, and we find that the number of confident identifications is further increased when these hits are also considered. Finally, application of the discriminant functions derived in this work with ~2.2 million spectra from 330 LC-MS/MS analyses of peptides from human plasma protein resulted in a 19% increase in confident peptide identifications (9551 vs 8049) using elution time information. Further improvements from the use of elution time information can be expected as both the experimental control of elution time reproducibility and the predictive capability are improved.

  16. Stepwise discriminant function analysis for rapid identification of acute promyelocytic leukemia from acute myeloid leukemia with multiparameter flow cytometry.

    Science.gov (United States)

    Chen, Zhanguo; Li, Yan; Tong, Yongqing; Gao, Qingping; Mao, Xiaolu; Zhang, Wenjing; Xia, Zunen; Fu, Chaohong

    2016-03-01

    Diagnosis of acute promyelocytic leukemia (APL) has been accelerated by multiparameter flow cytometry (MFC). However, diagnostic interpretation of MFC readouts for APL depends on individual experience and knowledge, which inevitably increases the risk of arbitrariness. We appraised the feasibility of using stepwise discriminant function analysis (SDFA) based on MFC to optimize the minimal variables needed to distinguish APL from other acute myeloid leukemia (AML) without complicated data interpretation. Samples from 327 patients with APL (n = 51) and non-APL AML (n = 276) were randomly allocated into training (243 AML) and test sets (84 AML) for SDFA. The discriminant functions from SDFA were examined by correct classification, and the final variables were validated by differential expression. Finally, additional 20 samples from patients with atypical APL and AML confusable with APL were also identified by SDFA method and morphological analysis. The weighed discriminant function reveals seven differentially expressed variables (CD2/CD9/CD11b/CD13/CD34/HLA-DR/CD117), which predict a molecular result for APL characterization with an accuracy that approaches 99% (99.6 and 98.8% for AML samples in training and test sets, respectively). Furthermore, the SDFA outperformed either single variable analysis or the more limited 3-component analysis (CD34/CD117/HLA-DR) via separate SDFA, and was also superior to morphological analysis in terms of diagnostic efficacy. The established SDFA based on MFC with seven variables can precisely and rapidly differentiate APL and non-APL AML, which may contribute to the urgent initiation of all-trans-retinoic acid-based APL therapy.

  17. A coarse-grained analysis of the functional brain connectivity from EEG recordings of a visuo-perceptual discrimination task

    Science.gov (United States)

    Protopapa, Foteini; Mylonas, Dimitris; Smyrnis, Nikolaos; Siettos, Constantinos

    2013-10-01

    We report the emergent functional connectivity of cortical areas during a visuo-perceptual discrimination task with or without the retention in memory of the location of visual targets using EEG. The networks were computed using multivariate Granger causality on groups of electrodes reflecting coarse-grained brain areas. The analysis showed that at alpha band (8-12Hz) there are no significant differences. In contrast, in beta and gamma band, we identified a top-down information flow pattern which was evident for the task that required the activation of the working memory mechanism.

  18. Grammatical Morphology in School-Age Children with and without Language Impairment: A Discriminant Function Analysis

    Science.gov (United States)

    Moyle, Maura Jones; Karasinski, Courtney; Weismer, Susan Ellis; Gorman, Brenda K.

    2013-01-01

    Purpose The purpose of this study was to test Bedore and Leonard’s (1998) proposal that a verb morpheme composite may hold promise as a clinical marker for specific language impairment (SLI) in English speakers and serve as an accurate basis for the classification of children with and without SLI beyond the preschool level. Method The language transcripts of 50 school-age children with SLI (Mage = 7;9) and 50 age-matched typically developing peers (Mage = 7;9) were analyzed. Following the Bedore and Leonard procedure, three variables were measured: mean length of utterance in morphemes (MLU-morphemes), a noun morpheme composite, and a finite verb morpheme composite. Results Overall findings indicated that neither grammatical morpheme composite alone adequately discriminated the groups at this developmental level. Combining the noun and verb grammatical morpheme composite measures with MLU-morphemes resulted in good discriminant accuracy in classifying subgroups of the youngest children with and without SLI in the school-age sample. Conclusions We did not find that verb morphology alone served as a useful clinical marker of SLI in school-age children. Potential explanations for these findings and ideas for future research are discussed. PMID:21969530

  19. Odor Memory and Discrimination Covary as a Function of Delay between Encoding and Recall in Rats.

    Science.gov (United States)

    Hackett, Chelsea; Choi, Christina; O'Brien, Brenna; Shin, Philip; Linster, Christiane

    2015-06-01

    Nonassociative odor learning paradigms are often used to assess memory, social recognition and neuromodulation of olfactory pathways. We here use a modified object recognition paradigm to investigate how an important task parameter, delay between encoding and recall trials, affects the properties of this memory. We show that both memory for a previously investigated odorant and discrimination of a novel odorant decay with delay time and that rats can remember an odorant for up to 45min after a single trial encoding event. The number of odorants that can be encoded, as well as the specificity of the encoded memory, decrease with increased delay and also depend on stimulus concentration. Memory for an odorant and discrimination of a novel odorant decay at approximately the same rate, whereas the specificity of the formed memory decays faster than the memory itself. These results have important implications for the interpretation of behavioral data obtained with this paradigm. © The Author 2015. Published by Oxford University Press. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

  20. Evaluation of discriminant functions for sexing skulls from visually assessed traits applied in the Rainer Osteological Collection (Bucharest, Romania).

    Science.gov (United States)

    Soficaru, A; Constantinescu, M; Culea, M; Ionică, C

    2014-12-01

    The sexing of human skeletal remains based on visual scoring of descriptive traits on the skull is useful for both forensic and bioarchaeological studies, given that many such features preserve well in the field and can be assessed quickly. The goal of our work is to evaluate the accuracy of this method on an age-balanced, known sex, random sample of 360 modern adult crania in the Rainer Osteological Collection. Consistent with Walker (2008), we scored glabella area (G), the mastoid process (Ma), the mental eminence (M), the orbital edge (O) and the nuchal crest (N), on a five-point scale. We generated sex discriminant functions (logistic), selected the most accurate of them, and subsequently applied them to archaeological samples from Romania. Each skull feature showed significant score differences by sex. Eight out of 31 discriminant functions passed criteria of high accuracy (∼90%), sex bias (±2%), and ease of use (direct calculation of sex). The best estimates were obtained for the 30-60 age groups. Further testing these functions on six archaeological samples showed high percentages of agreement with the sex assessed on the coxal bone. The study also indicated that, although easy to learn by novices, the method of visually scoring the skull traits depends on prior experience with human osteology. The accuracy of the method may be influenced by geographical and historical differences which are bound to exist between populations. Copyright © 2014 Elsevier GmbH. All rights reserved.

  1. The Monte Carlo validation framework for the discriminant partial least squares model extended with variable selection methods applied to authenticity studies of Viagra® based on chromatographic impurity profiles.

    Science.gov (United States)

    Krakowska, B; Custers, D; Deconinck, E; Daszykowski, M

    2016-02-07

    The aim of this work was to develop a general framework for the validation of discriminant models based on the Monte Carlo approach that is used in the context of authenticity studies based on chromatographic impurity profiles. The performance of the validation approach was applied to evaluate the usefulness of the diagnostic logic rule obtained from the partial least squares discriminant model (PLS-DA) that was built to discriminate authentic Viagra® samples from counterfeits (a two-class problem). The major advantage of the proposed validation framework stems from the possibility of obtaining distributions for different figures of merit that describe the PLS-DA model such as, e.g., sensitivity, specificity, correct classification rate and area under the curve in a function of model complexity. Therefore, one can quickly evaluate their uncertainty estimates. Moreover, the Monte Carlo model validation allows balanced sets of training samples to be designed, which is required at the stage of the construction of PLS-DA and is recommended in order to obtain fair estimates that are based on an independent set of samples. In this study, as an illustrative example, 46 authentic Viagra® samples and 97 counterfeit samples were analyzed and described by their impurity profiles that were determined using high performance liquid chromatography with photodiode array detection and further discriminated using the PLS-DA approach. In addition, we demonstrated how to extend the Monte Carlo validation framework with four different variable selection schemes: the elimination of uninformative variables, the importance of a variable in projections, selectivity ratio and significance multivariate correlation. The best PLS-DA model was based on a subset of variables that were selected using the variable importance in the projection approach. For an independent test set, average estimates with the corresponding standard deviation (based on 1000 Monte Carlo runs) of the correct

  2. Clinical and psychoeducational profile of children with borderline intellectual functioning.

    Science.gov (United States)

    Karande, Sunil; Kanchan, Sandeep; Kulkarni, Madhuri

    2008-08-01

    To document the clinical profile and academic history of children with borderline intellectual functioning ("slow learners"); and to assess parental knowledge and attitudes regarding this condition. From November 2004 to April 2005, 55 children (35 boys, 20 girls) were diagnosed as slow learners based on current level of academic functioning and global IQ scores (71-84) done by the WISC test. Detailed clinical and academic history; and physical and neurological examination findings were noted. The parents were counseled about the diagnosis and the option of special education. The mean age of slow learners was 11.9 years (+/-SD 2.3, range 8-17). Eighteen (32.7%) children had a significant perinatal history, 15 (27.3%) had delayed walking, 17 (30.9%) had delayed talking, 17 (30.9%) had microcephaly, 34 (61.8%) had presence of soft neurologic signs, and 10 (18.2%) were on complementary and alternative medication therapy. There were no differentiating features between the two gender groups. Their chief academic problems were difficulty in writing (92.7%), overall poor performance in all subjects (89.1%), and difficulty in mathematics (76.4%). Forty-six (83.6%) children had failed in examinations, 34 (61.8%) had experienced grade retention, and 32 (58.2%) had behavior problems. Most parents (83.3%) were reluctant to consider the option of special education. Slow learners struggle to cope up with the academic demands of the regular classroom. They need to be identified at an early age and their parents counseled to understand their academic abilities.

  3. Functional modelling of interaural time difference discrimination in acoustical and electrical hearing

    Science.gov (United States)

    Prokopiou, Andreas; Moncada-Torres, Arturo; Wouters, Jan; Francart, Tom

    2017-08-01

    Objective. Interaural time differences (ITDs) are important for sound source localisation. We present a model to predict the just noticeable differences (JNDs) in ITD discrimination for normal hearing and electric stimulation through a cochlear implant. Approach. We combined periphery models of acoustic and electric stimulation with a novel JND in the ITD estimation stage, which consists of a shuffled cross correlogram and a binary classifier characterisation method. Furthermore, an evaluation framework is presented based on a large behavioural dataset. Main results. The model correctly predicts behavioural observations for unmodulated stimuli (such as pure tones and electric pulse trains) and modulated stimuli for modulation frequencies below 30 Hz. For higher modulation frequencies, the model predicts the observed behavioural trends, but tends to estimate higher ITD sensitivity. Significance. The presented model can be used to investigate the implications of modifying the stimulus waveform on ITD sensitivity, and as such be applied in investigating sound encoding strategies.

  4. Multigene analysis unveils distinctive expression profiles of helper T-cell-related genes in the intestinal mucosa that discriminate between ulcerative colitis and Crohn's disease.

    Science.gov (United States)

    Iboshi, Yoichiro; Nakamura, Kazuhiko; Ihara, Eikichi; Iwasa, Tsutomu; Akiho, Hirotada; Harada, Naohiko; Nakamuta, Makoto; Takayanagi, Ryoichi

    2014-06-01

    Although the involvement of helper T (Th) and regulatory T (Treg) cell-related immune molecules in pathogenesis of inflammatory bowel disease (IBD) is widely accepted, no discriminatory mucosal expression profiles of these molecules between ulcerative colitis (UC) and Crohn's disease (CD) have been clarified. Mucosal expression of 17 cytokines and transcription factors related to Th1, Th2, Th17, and Treg were measured by quantitative PCR in endoscopic biopsies from inflamed (40 from UC [UCI] and 20 from CD [CDI]) and noninflamed (47, 22, and 25 from UC, CD, and controls, respectively) colon or ileum. The discriminatory power of these markers to differentiate between the 2 diseases was evaluated by linear discriminant analysis and, unsupervised, principal component analysis. By univariate analysis, many targets were markedly increased in inflamed versus noninflamed areas. However, marker expression was almost comparable between UCI and CDI, with the largest difference in UCI-predominant interleukin (IL) 21 and IL-13 with area under the receiver operating characteristic curve (AUC) values of 0.704 and 0.664, respectively. In contrast, combinations of 2 to 7 markers improved UCI versus CDI discrimination with AUC = 0.875 to 0.975. Among these, a 5-maker set (interferon-γ, IL-12 p35, T-bet, GATA3, and IL-21) demonstrated an AUC of 0.949 and a misclassification rate of 8.3%. Principal component analysis also markedly separated UCI and CDI. Inflamed mucosae from UC and CD could be discriminated with high accuracy using combinations of Th cell-related markers. Multigene analysis, possibly reflecting the underlying pathogenesis, is expected to be useful for diagnosis, monitoring and further defining distinctive characteristics in inflammatory bowel disease.

  5. High-throughput metabolic profiling of diverse green Coffea arabica beans identified tryptophan as a universal discrimination factor for immature beans.

    Directory of Open Access Journals (Sweden)

    Daiki Setoyama

    Full Text Available The maturity of green coffee beans is the most influential determinant of the quality and flavor of the resultant coffee beverage. However, the chemical compounds that can be used to discriminate the maturity of the beans remain uncharacterized. We herein analyzed four distinct stages of maturity (immature, semi-mature, mature and overripe of nine different varieties of green Coffea arabica beans hand-harvested from a single experimental field in Hawaii. After developing a high-throughput experimental system for sample preparation and liquid chromatography-mass spectrometry (LC-MS measurement, we applied metabolic profiling, integrated with chemometric techniques, to explore the relationship between the metabolome and maturity of the sample in a non-biased way. For the multivariate statistical analyses, a partial least square (PLS regression model was successfully created, which allowed us to accurately predict the maturity of the beans based on the metabolomic information. As a result, tryptophan was identified to be the best contributor to the regression model; the relative MS intensity of tryptophan was higher in immature beans than in those after the semi-mature stages in all arabica varieties investigated, demonstrating a universal discrimination factor for diverse arabica beans. Therefore, typtophan, either alone or together with other metabolites, may be utilized for traders as an assessment standard when purchasing qualified trading green arabica bean products. Furthermore, our results suggest that the tryptophan metabolism may be tightly linked to the development of coffee cherries and/or beans.

  6. Discriminating Phytoplankton Functional Types (PFTs) in the Coastal Ocean Using the Inversion Algorithm Phydotax and Airborne Imaging Spectrometer Data

    Science.gov (United States)

    Palacios, Sherry L.; Schafer, Chris; Broughton, Jennifer; Guild, Liane S.; Kudela, Raphael M.

    2013-01-01

    There is a need in the Biological Oceanography community to discriminate among phytoplankton groups within the bulk chlorophyll pool to understand energy flow through ecosystems, to track the fate of carbon in the ocean, and to detect and monitor-for harmful algal blooms (HABs). The ocean color community has responded to this demand with the development of phytoplankton functional type (PFT) discrimination algorithms. These PFT algorithms fall into one of three categories depending on the science application: size-based, biogeochemical function, and taxonomy. The new PFT algorithm Phytoplankton Detection with Optics (PHYDOTax) is an inversion algorithm that discriminates taxon-specific biomass to differentiate among six taxa found in the California Current System: diatoms, dinoflagellates, haptophytes, chlorophytes, cryptophytes, and cyanophytes. PHYDOTax was developed and validated in Monterey Bay, CA for the high resolution imaging spectrometer, Spectroscopic Aerial Mapping System with On-board Navigation (SAMSON - 3.5 nm resolution). PHYDOTax exploits the high spectral resolution of an imaging spectrometer and the improved spatial resolution that airborne data provides for coastal areas. The objective of this study was to apply PHYDOTax to a relatively lower resolution imaging spectrometer to test the algorithm's sensitivity to atmospheric correction, to evaluate capability with other sensors, and to determine if down-sampling spectral resolution would degrade its ability to discriminate among phytoplankton taxa. This study is a part of the larger Hyperspectral Infrared Imager (HyspIRI) airborne simulation campaign which is collecting Airborne Visible/Infrared Imaging Spectrometer (AVIRIS) imagery aboard NASA's ER-2 aircraft during three seasons in each of two years over terrestrial and marine targets in California. Our aquatic component seeks to develop and test algorithms to retrieve water quality properties (e.g. HABs and river plumes) in both marine and in

  7. Subtypes of adolescents with substance use disorders and psychiatric comorbidity using cluster and discriminant analysis of MMPI-A profiles

    OpenAIRE

    Magallón Neri, Ernesto Mijail; Díaz, R.; Forns, Maria, 1946-; Goti, J.; Canalda Sahli, Gloria; Castro Fornieles, Josefina

    2012-01-01

    The main aim of this study was to replicate and extend previous results on subtypes of adolescents with substance use disorders (SUD), according to their Minnesota Multiphasic Personality Inventory for adolescents (MMPI-A) profiles. Sixty patients with SUD and psychiatric comorbidity (41.7% male, mean age = 15.9 years old) completed the MMPI-A, the Teen Addiction Severity Index (T-ASI), the Child Behaviour Checklist (CBCL), and were interviewed in order to determine DSMIV diagnoses and level ...

  8. A dual-channel fluorescent chemosensor for discriminative detection of glutathione based on functionalized carbon quantum dots.

    Science.gov (United States)

    Huang, Yuanyuan; Zhou, Jin; Feng, Hui; Zheng, Jieyu; Ma, Hui-Min; Liu, Weidong; Tang, Cong; Ao, Hang; Zhao, Meizhi; Qian, Zhaosheng

    2016-12-15

    A convenient, fluorescent dual-channel chemosensor on the basis of bis(3-pyridylmethyl)amine-functionalized carbon quantum dots (BPMA-CQDs) nanoprobe was constructed, and it can discriminatively detect glutathione from its analogues cysteine and homocysteine based on two distinctive strategies. Two distinct fluorescence responses of BPMA-CQDs probe to Cu(II) and Ag(I) were identified and further employed to achieve selective detection of Cu(II) and Ag(I) respectively. Based on the BPMA-CQDs/Cu(II) conjugate, discriminative detection of GSH was achieved in terms of correlation between the amounts of GSH and fluorescence recovery. The addition of GSH into BPMA-CQDs/Cu(II) system induces the reduction of Cu(II) to Cu(I), which could efficiently block PET process resulting in the following fluorescence recovery. Based on the BPMA-CQDs/Ag(I) conjugate, GSH assay could also be established on the basis of fluorescence response to GSH. The introduction of GSH into the preceding system triggers the competitive coordination to Ag(I) between BPMA and GSH, and silver ions are finally taken away by GSH from the probe, where the fluorescence is restored to its original weak state. Both of the detection strategies can achieve discriminative detection of GSH from Cys and Hcy. The assays showed good stability and repeatability, and covered a broad linear range of up to 13.3μM with a lowest detection limit of 42.0nM. Moreover, both of them were utilized to monitor GSH level in live cells. Copyright © 2016 Elsevier B.V. All rights reserved.

  9. Three-level prediction of protein function by combining profile-sequence search, profile-profile search, and domain co-occurrence networks.

    Science.gov (United States)

    Wang, Zheng; Cao, Renzhi; Cheng, Jianlin

    2013-01-01

    Predicting protein function from sequence is useful for biochemical experiment design, mutagenesis analysis, protein engineering, protein design, biological pathway analysis, drug design, disease diagnosis, and genome annotation as a vast number of protein sequences with unknown function are routinely being generated by DNA, RNA and protein sequencing in the genomic era. However, despite significant progresses in the last several years, the accuracy of protein function prediction still needs to be improved in order to be used effectively in practice, particularly when little or no homology exists between a target protein and proteins with annotated function. Here, we developed a method that integrated profile-sequence alignment, profile-profile alignment, and Domain Co-Occurrence Networks (DCN) to predict protein function at different levels of complexity, ranging from obvious homology, to remote homology, to no homology. We tested the method blindingly in the 2011 Critical Assessment of Function Annotation (CAFA). Our experiments demonstrated that our three-level prediction method effectively increased the recall of function prediction while maintaining a reasonable precision. Particularly, our method can predict function terms defined by the Gene Ontology more accurately than three standard baseline methods in most situations, handle multi-domain proteins naturally, and make ab initio function prediction when no homology exists. These results show that our approach can combine complementary strengths of most widely used BLAST-based function prediction methods, rarely used in function prediction but more sensitive profile-profile comparison-based homology detection methods, and non-homology-based domain co-occurrence networks, to effectively extend the power of function prediction from high homology, to low homology, to no homology (ab initio cases).

  10. Do mental skills make champions? Examining the discriminant function of the psychological characteristics of developing excellence questionnaire.

    Science.gov (United States)

    Macnamara, Aine; Collins, Dave

    2013-01-01

    The ability to successfully develop to the highest levels in sport is dependent on a range of variables, not least an individual's ability to cope with the various challenges of development. Psychological Characteristics of Developing Excellence (PCDEs) include both the trait characteristics and the state-deployed skills that have been shown to play a crucial role in the realisation of potential. Psychological characteristics of developing excellence equip aspiring elites with the mental skills, attitudes, and emotions to cope with the challenges of the development pathway, as well as underpinning their capacity to make the most of their innate abilities. The Psychological Characteristics of Developing Excellence Questionnaire (PCDEQ) was designed to assess the possession and deployment of these characteristics. The purpose of this paper was to examine the ability of the Psychological Characteristics of Developing Excellence Questionnaire to effectively discriminate between good and poor developers based on their current possession and deployment of psychological characteristics of developing excellence. Two hundred and eighty-five athletes (n = 192 team athletes; n = 93 individual athletes) completed the Psychological Characteristics of Developing Excellence Questionnaire. Results from the discriminant function analysis suggest that the Psychological Characteristics of Developing Excellence Questionnaire correctly classifies between 67% and 75% of athletes based on their responses. The Psychological Characteristics of Developing Excellence Questionnaire can be used as a formative assessment tool to direct training programmes by identifying weaknesses in psychological characteristics of developing excellence and incorporating specific training to address these weaknesses in advance of developmental challenges.

  11. Determination of sex from radiographic measurements of the humerus by discriminant function analysis in Saudi population, Qassim region, KSA.

    Science.gov (United States)

    Shehri, Fahad Al; Soliman, Khaled E A

    2015-08-01

    Diagnosis of sex from skeleton or individual bone plays an important role in identifying unknown bodies, parts of bodies or skeletal remains for forensic purposes. This study aims to examine the applicability of the measurements taken from the humerus to assess sex, and to contribute to establishing discriminant function equations for Saudi populations for medico legal applications. Archived X-ray radiographs of humerus for 387 patients (216 males & 171 females) who attended the orthopedic clinics at Suleiman Al-Habib Hospital, Qassim region, KSA in the period from January 2011 to December 2013 were reviewed and analyzed. Five dimensions, including maximum length, vertical head diameter, diameter of head+greater tubercle, right-left diameter at midshaft, and epicondylar breadth were taken and subjected to Univariate and multivariate discriminant function analysis. The studied radiographic dimensions of the humerus indicate that there are significant differences (p<0.05) between the males and females measurements while the difference between right and left measurements was not significant. The findings revealed that the proximal part of the humerus has greater diagnostic accuracy than distal and middle parts. Accuracy of correct classification varies between 68.0% (epicondylar breadth) and 90.4% (vertical head diameter) for univariate analyses. When the multivariate analyses were conducted, three functions were produced, with the accuracy of ranging between 88.4% and 94.3%. These findings suggested that the dimensions of the humerus, especially the measurements taken from the proximal parts, could be used successfully for sex diagnosis. Copyright © 2015 Elsevier Ireland Ltd. All rights reserved.

  12. Quantitative NMR Metabolite Profiling of Methicillin-Resistant and Methicillin-Susceptible Staphylococcus aureus Discriminates between Biofilm and Planktonic Phenotypes

    Science.gov (United States)

    2015-01-01

    Wound bioburden in the form of colonizing biofilms is a major contributor to nonhealing wounds. Staphylococcus aureus is a Gram-positive, facultative anaerobe commonly found in chronic wounds; however, much remains unknown about the basic physiology of this opportunistic pathogen, especially with regard to the biofilm phenotype. Transcriptomic and proteomic analysis of S. aureus biofilms have suggested that S. aureus biofilms exhibit an altered metabolic state relative to the planktonic phenotype. Herein, comparisons of extracellular and intracellular metabolite profiles detected by 1H NMR were conducted for methicillin-resistant (MRSA) and methicillin-susceptible (MSSA) S. aureus strains grown as biofilm and planktonic cultures. Principal component analysis distinguished the biofilm phenotype from the planktonic phenotype, and factor loadings analysis identified metabolites that contributed to the statistical separation of the biofilm from the planktonic phenotype, suggesting that key features distinguishing biofilm from planktonic growth include selective amino acid uptake, lipid catabolism, butanediol fermentation, and a shift in metabolism from energy production to assembly of cell-wall components and matrix deposition. These metabolite profiles provide a basis for the development of metabolite biomarkers that distinguish between biofilm and planktonic phenotypes in S. aureus and have the potential for improved diagnostic and therapeutic use in chronic wounds. PMID:24809402

  13. Trial-dependent psychometric functions accounting for perceptual learning in 2-AFC discrimination tasks.

    Science.gov (United States)

    Kattner, Florian; Cochrane, Aaron; Green, C Shawn

    2017-09-01

    The majority of theoretical models of learning consider learning to be a continuous function of experience. However, most perceptual learning studies use thresholds estimated by fitting psychometric functions to independent blocks, sometimes then fitting a parametric function to these block-wise estimated thresholds. Critically, such approaches tend to violate the basic principle that learning is continuous through time (e.g., by aggregating trials into large "blocks" for analysis that each assume stationarity, then fitting learning functions to these aggregated blocks). To address this discrepancy between base theory and analysis practice, here we instead propose fitting a parametric function to thresholds from each individual trial. In particular, we implemented a dynamic psychometric function whose parameters were allowed to change continuously with each trial, thus parameterizing nonstationarity. We fit the resulting continuous time parametric model to data from two different perceptual learning tasks. In nearly every case, the quality of the fits derived from the continuous time parametric model outperformed the fits derived from a nonparametric approach wherein separate psychometric functions were fit to blocks of trials. Because such a continuous trial-dependent model of perceptual learning also offers a number of additional advantages (e.g., the ability to extrapolate beyond the observed data; the ability to estimate performance on individual critical trials), we suggest that this technique would be a useful addition to each psychophysicist's analysis toolkit.

  14. Characterization and evaluation of phenolic profiles and color as potential discriminating features among Spanish extra virgin olive oils with protected designation of origin.

    Science.gov (United States)

    Becerra-Herrera, Mercedes; Vélez-Martín, Alberto; Ramos-Merchante, Adrián; Richter, Pablo; Beltrán, Rafael; Sayago, Ana

    2018-02-15

    Changes in phenolic profiles and color parameters can help to differentiate between extra virgin olive oils (EVOOs) with protected designation of origin (PDO). Phenolic profile characterization and CIELAB parameters determination of 9 PDO EVOOs from Spain were developed. Both properties of EVOOs are very relevant to their commercialization and increase the product value. The Serrana de Espadán olive cultivar was characterized for the first time and showed the highest pinoresinol concentrations and clarities in these olive oils, which are important values for the product image. To detect fraudulent instrumental work and implement quality control, principal component analysis (PCA) and linear discriminant analysis (LDA) were performed. EVOO geographical origin and cultivar distributions were achieved with cumulative variances of 93.4% and 92.4%, respectively. A categorization of PDO EVOOs was proposed using the following 7 phenolic compounds: phenolic alcohols (tyrosol and hydroxytyrosol), 3,4-DHPEA-EDA, 3,4-DHPEA-EA, p-HPEA-EDA, pinoresinol and total phenolic compounds. Copyright © 2017 Elsevier Ltd. All rights reserved.

  15. Canonical discrimination of the effect of a new broiler production facility on soil chemical profiles as related to current management practices.

    Directory of Open Access Journals (Sweden)

    Cynthia L Sheffield

    Full Text Available The effect dirt-floored broiler houses have on the underlying native soil, and the potential for contamination of the ground water by leaching under the foundation, is an understudied area. This study examines alterations in fifteen quantitative soil parameters (Ca, Cu, electrical conductivity, Fe, K, Mg, Mn, Na, NO3, organic matter, P, pH, S, soil moisture and Zn in the underlayment of a newly constructed dirt-floored broiler house over the first two years of production (Native through Flock 11. The experiment was conducted near NW Robertson County, Texas, where the native soil is a fine, smectitic thermic Udertic Paleustalfs and the slopes range from zero to three percent. Multiple samples were collected from under each of three water and three feed lines the length of the house, in a longitudinal study during February 2008 through August 2010. To better define the relationship between the soil parameters and sampling times, a canonical discriminant analysis approach was used. The soil profiles assembled into five distinctive clusters corresponding to time and management practices. Results of this work revealed that the majority of parameters increased over time. The management practices of partial and total house clean-outs markedly altered soil profiles the house underlayment, thus reducing the risk of infiltration into the ground water near the farm. This is important as most broiler farms consist of several houses within a small area, so the cumulative ecological impact could be substantial if not properly managed.

  16. Chemical Profiling of the Essential Oils of Syzygium aqueum, Syzygium samarangense and Eugenia uniflora and Their Discrimination Using Chemometric Analysis.

    Science.gov (United States)

    Sobeh, Mansour; Braun, Markus Santhosh; Krstin, Sonja; Youssef, Fadia S; Ashour, Mohamed L; Wink, Michael

    2016-11-01

    The essential oil compositions of the leaves of three related Myrtaceae species, namely Syzygium aqueum, Syzygium samarangense and Eugenia uniflora, were investigated using GLC/MS and GLC/FID. Altogether, 125 compounds were identified: α-Selinene (13.85%), β-caryophyllene (12.72%) and β-selinene constitute the most abundant constituents in S. aqueum. Germacrene D (21.62%) represents the major compound in S. samarangense whereas in E. uniflora, spathulenol (15.80%) represents the predominant component. Multivariate chemometric analyses were used to discriminate the essential oils using hierarchical cluster analysis (HCA) and principal component analysis (PCA) based on the chromatographic results. The antimicrobial activity of the popularly used E. uniflora essential oil was assessed using broth microdilution method against six Gram-positive, three Gram-negative bacteria and two fungi. The oil showed moderate antimicrobial activity against Bacillus licheniformis exhibiting MIC and MMC of 0.63 mg/ml. The cytotoxic activity of E. uniflora essential oil was investigated against Trypanosoma brucei brucei (T. b. brucei) and MCF-7 cancer cell line using MTT assay. It showed moderate activity against MCF-7 cells with an IC50 value of 76.40 μg/ml. On the other hand, T. brucei was highly susceptible to E. uniflora essential oil with IC50 of 11.20 μg/ml, and a selectivity index of 6.82. © 2016 Wiley-VHCA AG, Zurich, Switzerland.

  17. A Score Function for State of Charge Profiles for Rechargeable Batteries

    NARCIS (Netherlands)

    Ramsgaard Wognsen, Erik; Jongerden, M.R.; Haverkort, Boudewijn R.H.M.

    2015-01-01

    We propose a new score function to compare and evaluate the relative impact of state-of-charge profiles on overall battery lifetime. Our score function, based on on a discrete Fourier transform of the state-of-charge profile, formalizes and generalizes earlier ideas found in the literature, and can

  18. Motor and Executive Function Profiles in Adult Residents ...

    Science.gov (United States)

    Objective: Exposure to elevated levels of manganese (Mn) may be associated with tremor, motor and executive dysfunction (EF), clinically resembling Parkinson’s disease (PD). PD research has identified tremor-dominant (TD) and non-tremor dominant (NTD) profiles. NTD PD presents with bradykinesia, rigidity, and postural sway, and is associated with EF impairment with lower quality of life (QoL). Presence and impact of tremor, motor, and executive dysfunction profiles on health-related QoL and life satisfaction were examined in air-Mn exposed residents of two Ohio, USA towns. Participants and Methods: From two Ohio towns exposed to air-Mn, 186 residents (76 males) aged 30-75 years were administered measures of EF (Animal Naming, ACT, Rey-O Copy, Stroop Color-Word, and Trails B), motor and tremor symptoms (UPDRS), QoL (BRFSS), life satisfaction (SWLS), and positive symptom distress (SCL-90-R). Air-Mn exposure in the two towns was modeled with 10 years of air-monitoring data. Cluster analyses detected the presence of symptom profiles by grouping together residents with similar scores on these measures. Results: Overall, mean air-Mn concentration for the two towns was 0.53 µg/m3 (SD=.92). Two-step cluster analyses identified TD and NTD symptom profiles. Residents in the NTD group lacked EF impairment; EF impairment represented a separate profile. An unimpaired group also emerged. The NTD and EF impairment groups were qualitatively similar, with relatively lo

  19. Effects of an 8-week yoga program on sustained attention and discrimination function in children with attention deficit hyperactivity disorder

    Directory of Open Access Journals (Sweden)

    Chien-Chih Chou

    2017-01-01

    Full Text Available This study investigated whether a yoga exercise intervention influenced the sustained attention and discrimination function in children with ADHD. Forty-nine participants (mean age = 10.50 years were assigned to either a yoga exercise or a control group. Participants were given the Visual Pursuit Test and Determination Test prior to and after an eight-week exercise intervention (twice per week, 40 min per session or a control intervention. Significant improvements in accuracy rate and reaction time of the two tests were observed over time in the exercise group compared with the control group. These findings suggest that alternative therapies such as yoga exercises can be complementary to behavioral interventions for children with attention and inhibition problems. Schools and parents of children with ADHD should consider alternatives for maximizing the opportunities that children with ADHD can engage in structured yoga  exercises.

  20. Identification of mongoose (genus: Herpestes) species from hair through band pattern studies using discriminate functional analysis (DFA) and microscopic examination.

    Science.gov (United States)

    Sahajpal, Vivek; Goyal, S P; Raza, R; Jayapal, R

    2009-09-01

    India is home to seven species of mongoose (Herpestes sp). Mongooses are being poached primarily for their hair, which is used in the production of painting and shaving brushes. Prior to September 2002, mongooses were listed under Schedule-IV of the Wildlife (Protection) Act 1972 (India). Indiscriminate poaching of the mongoose created an immediate threat to their survival and hence mongooses have now been placed under Schedule-II of the Wildlife (Protection) Act-1972 (India). In order to convict a person under this legislation, species identification of case related samples is necessary. Four species of mongoose i.e. H. edwardsii, H. smithii, H. palustris and H. urva were characterised by performing discriminate functional analysis (DFA) on measurements of their dorsal guard hair banding pattern and by microscopic hair characteristics (Cuticular, medullar and cross section). It was possible to distinguish between the four species studied, based on both these methods.

  1. Casein Hydrolysates by Lactobacillus brevis and Lactococcus lactis Proteases: Peptide Profile Discriminates Strain-Dependent Enzyme Specificity.

    Science.gov (United States)

    Bounouala, Fatima Zohra; Roudj, Salima; Karam, Nour-Eddine; Recio, Isidra; Miralles, Beatriz

    2017-10-25

    Casein from ovine and bovine milk were hydrolyzed with two extracellular protease preparations from Lactobacillus brevis and Lactococcus lactis. The hydrolysates were analyzed by HPLC-MS/MS for peptide identification. A strain-dependent peptide profile could be observed, regardless of the casein origin, and the specificity of these two proteases could be computationally ascribed. The cleavage pattern yielding phenylalanine, leucine, or tyrosine at C-terminal appeared both at L. lactis and Lb. brevis hydrolysates. However, the cleavage C-terminal to lysine was favored with Lb. brevis protease. The hydrolysates showed ACE-inhibitory activity with IC50 in the 16-70 μg/mL range. Ovine casein hydrolysates yielded greater ACE-inhibitory activity. Previously described antihypertensive and opioid peptides were found in these ovine and bovine casein hydrolysates and prediction of the antihypertensive activity of the sequences based on quantitative structure and activity relationship (QSAR) was performed. This approach might represent a useful classification tool regarding health-related properties prior to further purification.

  2. Detection of metabolites discriminating subtypes of thyroid cancer: Molecular profiling of FFPE samples using the GC/MS approach.

    Science.gov (United States)

    Wojakowska, Anna; Chekan, Mykola; Marczak, Łukasz; Polanski, Krzysztof; Lange, Dariusz; Pietrowska, Monika; Widlak, Piotr

    2015-12-05

    One of the critical issues in thyroid cancer diagnostic is differentiation between follicular adenoma, follicular carcinoma and the follicular variant of papillary carcinoma, which in some cases is not possible based on histopathological features only. In this paper we performed molecular profiling of thyroid tissue aiming to identify metabolites characteristic for different types of thyroid cancer. FFPE tissue specimens were analysed from 5 different types of thyroid malignancies (follicular, papillary/classical variant, papillary/follicular variant, medullary and anaplastic cancers), benign follicular adenoma and normal thyroid. Extracted metabolites were identified and semi-quantified using the GC/MS approach. There were 28 metabolites identified, whose abundances were significantly different among different types of thyroid tumours, including lipids, carboxylic acids, and saccharides. We concluded, that multi-component metabolome signature could be used for classification of different subtypes of follicular thyroid lesions. Moreover, potential applicability of the GC/MS-based analysis of FFPE tissue samples in diagnostics of thyroid cancer has been proved. Copyright © 2015 The Authors. Published by Elsevier Ireland Ltd.. All rights reserved.

  3. Discriminating the native structure from decoys using scoring functions based on the residue packing in globular proteins.

    Science.gov (United States)

    Bahadur, Ranjit Prasad; Chakrabarti, Pinak

    2009-12-28

    Setting the rules for the identification of a stable conformation of a protein is of utmost importance for the efficient generation of structures in computer simulation. For structure prediction, a considerable number of possible models are generated from which the best model has to be selected. Two scoring functions, Rs and Rp, based on the consideration of packing of residues, which indicate if the conformation of an amino acid sequence is native-like, are presented. These are defined using the solvent accessible surface area (ASA) and the partner number (PN) (other residues that are within 4.5 A) of a particular residue. The two functions evaluate the deviation from the average packing properties (ASA or PN) of all residues in a polypeptide chain corresponding to a model of its three-dimensional structure. While simple in concept and computationally less intensive, both the functions are at least as efficient as any other energy functions in discriminating the native structure from decoys in a large number of standard decoy sets, as well as on models submitted for the targets of CASP7. Rs appears to be slightly more effective than Rp, as determined by the number of times the native structure possesses the minimum value for the function and its separation from the average value for the decoys. Two parameters, Rs and Rp, are discussed that can very efficiently recognize the native fold for a sequence from an ensemble of decoy structures. Unlike many other algorithms that rely on the use of composite scoring function, these are based on a single parameter, viz., the accessible surface area (or the number of residues in contact), but still able to capture the essential attribute of the native fold.

  4. Bilingual advantages in executive functioning: problems in convergent validity, discriminant validity, and the identification of the theoretical constructs

    Science.gov (United States)

    Paap, Kenneth R.; Sawi, Oliver

    2014-01-01

    A sample of 58 bilingual and 62 monolingual university students completed four tasks commonly used to test for bilingual advantages in executive functioning (EF): antisaccade, attentional network test, Simon, and color-shape switching. Across the four tasks, 13 different indices were derived that are assumed to reflect individual differences in inhibitory control, monitoring, or switching. The effects of bilingualism on the 13 measures were explored by directly comparing the means of the two language groups and through regression analyses using a continuous measure of bilingualism and multiple demographic characteristics as predictors. Across the 13 different measures and two types of data analysis there were very few significant results and those that did occur supported a monolingual advantage. An equally important goal was to assess the convergent validity through cross-task correlations of indices assume to measure the same component of executive functioning. Most of the correlations using difference-score measures were non-significant and many near zero. Although modestly higher levels of convergent validity are sometimes reported, a review of the existing literature suggests that bilingual advantages (or disadvantages) may reflect task-specific differences that are unlikely to generalize to important general differences in EF. Finally, as cautioned by Salthouse, assumed measures of executive functioning may also be threatened by a lack of discriminant validity that separates individual or group differences in EF from those in general fluid intelligence or simple processing speed. PMID:25249988

  5. Chaining Functional Basketball Sequences (with Embedded Conditional Discriminations) in an Adolescent with Autism

    OpenAIRE

    Lambert, Joseph M.; Copeland, Bailey A.; Karp, Erica L.; Finley, Crystal I.; Houchins-Juarez, Nealetta J.; Ledford, Jennifer R.

    2016-01-01

    Individuals with developmental disabilities successfully participate in fewer recreation activities, including sports activities, than their typically developing peers. Although a functional basketball-playing repertoire might increase social opportunities and physical health for these individuals, no research has outlined a behavior-analytic strategy for teaching this sport. In our study, we taught a 13-year-old male diagnosed with autism to play basketball. During phase 1, we employed discr...

  6. Changes in the aromatic profile of espresso coffee as a function of the grinding grade and extraction time: a study by the electronic nose system.

    Science.gov (United States)

    Severini, C; Ricci, I; Marone, M; Derossi, A; De Pilli, T

    2015-03-04

    The changes in chemical attributes and aromatic profile of espresso coffee (EC) were studied taking into account the extraction time and grinding level as independent variables. Particularly, using an electronic nose system, the changes of the global aromatic profile of EC were highlighted. The results shown as the major amounts of organic acids, solids, and caffeine were extracted in the first 8 s of percolation. The grinding grade significantly affected the quality of EC probably as an effect of the particle size distribution and the percolation pathways of water through the coffee cake. The use of an electronic nose system allowed us to discriminate the fractions of the brew as a function of the percolation time and also the regular coffee obtained from different grinding grades. Particularly, the aromatic profile of a regular coffee (25 mL) was significantly affected by the grinding level of the coffee grounds and percolation time, which are two variables under the control of the bar operator.

  7. Temporal integration of loudness, loudness discrimination, and the form of the loudness function

    OpenAIRE

    Buus, Søren; Florentine, Mary; Poulsen, Torben

    1997-01-01

    Temporal integration for loudness of 5-kHz tones was measured as a function of level between 2 and 60 dB SL. Absolute thresholds and levels required to produce equal loudness were measured for 2-, 10-, 50- and 250-ms tones using adaptive, two interval, two alternative forced choice procedures. The procedure for loudness balances is new and obtained concurrent measurements for ten tone pairs in ten interleaved tracks. Each track converged at the level required to make the variable stimulus jus...

  8. Unravelling the noise: the discrimination of wave function collapse models under time-continuous measurements

    Science.gov (United States)

    Genoni, Marco G.; Duarte, O. S.; Serafini, Alessio

    2016-10-01

    Inspired by the notion that environmental noise is in principle observable, while fundamental noise due to spontaneous localization would not be, we study the estimation of the diffusion parameter induced by wave function collapse models under continuous monitoring of the environment. We take into account finite measurement efficiencies and, in order to quantify the advantage granted by monitoring, we analyse the quantum Fisher information associated with such a diffusion parameter, identify optimal measurements in limiting cases, and assess the performance of such measurements in more realistic conditions.

  9. Renal function : The Cinderella of cardiovascular risk profile

    NARCIS (Netherlands)

    Ruilope, LM; van Veldhuisen, DJ; Ritz, E; Luscher, TF

    2001-01-01

    The presence of an altered renal function in essential hypertension, advanced heart failure (HF) and after a myocardial infarction (MI) is associated with higher cardiovascular morbidity, and mortality. Indices of altered renal function (e.g., microalbuminuria, increased serum creatinine

  10. Functional alteration of breast muscle fatty acid profile by ...

    African Journals Online (AJOL)

    Breast muscle fatty acid (FA) profile was studied in broiler chickens fed at different levels of n-6:n-3 polyunsaturated fatty acid (PUFA) ratios in 4 treatment groups; very high level of n-6:n-3 ratios (VH), high level of n-6:n-3 ratios (H), low level of n-6:n-3 ratios (L), very low level of n-6:n-3 ratios (VL) and control, respectively.

  11. Improving Dorsal Stream Function in Dyslexics by Training Figure/Ground Motion Discrimination Improves Attention, Reading Fluency, and Working Memory

    National Research Council Canada - National Science Library

    Lawton, Teri

    2016-01-01

    ... (figure/ground discrimination) significantly improved attention, reading fluency, both speed and comprehension, phonological processing, and both auditory and visual working memory relative to controls, whereas auditory training...

  12. A comparison of predictors of the adolescent intention to smoke with adolescent current smoking using discriminant function analysis.

    Science.gov (United States)

    Mazanov, J; Byrne, D G

    2002-05-01

    This paper explores one possible operationalization of smoking intention to assist development of adolescent smoking intervention programmes. Such programmes usually focus on predictors of current smoking, ignoring predictors of intentions to smoke, or how intentions relate to actual future smoking. Respondents took part in two stages of a repeated measures national survey on Australian adolescent smoking behaviour (12-month interval between administrations). A total of N=1419 adolescents provided matched data, measuring personal smoking habits, intentions of smoking behaviour, stress (seven subscales), self-esteem and response to the General Health Questionnaire (GHQ-12). A comparison of discriminant function predictors showed similarity between the current smoking and intention to smoke, with only one predictor differing between the functions. Non-smokers were more behaviourally consistent with their stated non-smoking intention over 12 months (i.e. remain non-smokers) than smokers (i.e. intention seemed unrelated to actual behaviour). While the predictors give no general indication of whether the processes behind the intention to smoke differ from current smoking, the intention to smoke may be a better focus for intervention with smokers given the apparent inconsistency with stated intention. Intervention for non-smokers may be usefully focused on maintaining non-smoking rather than preventing smoking.

  13. Examining Profiles of Family Functioning in Pediatric Asthma: Longitudinal Associations With Child Adjustment and Asthma Severity.

    Science.gov (United States)

    Al G Hriwati, Nour; Winter, Marcia A; Everhart, Robin S

    2017-05-01

    Identify profiles of functioning in families of children with asthma and examine whether profile membership predicts subsequent child mental and physical well-being. Primary caregivers and children ( N  = 1,030) from the Childhood Asthma Management Program completed questionnaires assessing family functioning and child adaptation at five time points. Asthma severity was also assessed via spirometry. Latent profile analyses identified a four-profile solution as best fitting the data: cohesive, permissive, controlling/disengaged, and controlling/enmeshed families. Distal outcome analyses using Bolck-Croon-Hagenaars techniques suggested that children from families that were more cohesive had fewer internalizing and externalizing symptoms. These associations remained stable across time. Family profiles did not differ with regards to child asthma severity. Results highlight the importance of looking beyond the effects of distinct components of family functioning and instead using pattern-based approaches. Recommendations for incorporating screenings and services for families in pediatric care settings are provided.

  14. Structural Discrimination

    DEFF Research Database (Denmark)

    Thorsen, Mira Skadegård

    discrimination as two ways of articulating particular, opaque forms of racial discrimination that occur in everyday Danish (and other) contexts, and have therefore become normalized. I present and discuss discrimination as it surfaces in data from my empirical studies of discrimination in Danish contexts......In this article, I discuss structural discrimination, an underrepresented area of study in Danish discrimination and intercultural research. It is defined here as discursive and constitutive, and presented as a central element of my analytical approach. This notion is employed in the with which...... to understand and identify aspects of power and asymmetry in communication and interactions. With this as a defining term, I address how exclusion and discrimination exist, while also being indiscernible, within widely accepted societal norms. I introduce the concepts of microdiscrimination and benevolent...

  15. Tremor Frequency Profile as a Function of Level of Mental Retardation

    Science.gov (United States)

    Sprague, Robert L.; Deutsch, Katherine M.; Newell, Karl M.

    2007-01-01

    The characteristic slowness of movement initiation and execution in adult individuals with mental retardation may be driven by the slower frequency profile of the dynamics of the system. To investigate this hypothesis, we examined the resting and postural finger tremor frequency profile (single and dual limb) of adults as a function of level of…

  16. Functional and phenotypic profiling of innate immunity during Salmonella infection

    DEFF Research Database (Denmark)

    Sørensen, Rikke Brandt; Pedersen, Susanne Brix

    Salmonellae are food borne pathogens, typically acquired by the oral ingestion of contaminated food or water, causing disease in both healthy and immunocompromised individuals. To gain insight into early immune regulation events caused by Salmonella as well as inflammatory signatures induced...... subsets, two of which following infection, accumulated in Peyer’s patches and lamina propria, respectively. Generally, we tend to set apart pathogenic bacteria from opportunistic pathogens and commensal bacteria based on their abilities to induce disease in different hosts, however, the nature...... to treatment regimes, as targeted modulation of DC profiles for instance by probiotics, could lead to improved therapy for a number of gut related diseases....

  17. Lung function profiles and aerobic capacity of adult cigarette and ...

    African Journals Online (AJOL)

    Introduction: Pulmonary function is compromised in most smokers. Yet it is unknown whether exercise training improves pulmonary function and aerobic capacity in cigarette and hookah smokers and whether these smokers respond in a similar way as do non-smokers. Aim: To evaluate the effects of an interval exercise ...

  18. LENSING PROPERTIES OF THE EINASTO PROFILE IN TERMS OF THE MEIJER G FUNCTION

    Directory of Open Access Journals (Sweden)

    Edwin Retana-Montenegro

    2014-07-01

    Full Text Available In N-body simulations of cold dark matter, it has been found that three-parameter models, particularly the Einasto profile, yield better fits to a wide range of dark matter haloes than two parameter models like the Navarro-Frenk-White profile. Recently, the analytical properties of the Einasto profile has been studied, allowing closed expressions for its surface mass density and lensing properties in terms of the Fox H and Meijer G functions, using a Mellin transform formalism. These expressions are valid for all values of the Einasto index in terms of the Fox H function, and valid for integer and half-integer values of Einasto index in terms of the Meijer G function. In this paper, we derive expressions for lensing properties of the Einasto profile for all rational values of the Einasto index in terms of the Meijer G function. Equivalency between these expressions and other recent results is also discussed

  19. Adolescents’ Pain Coping Profiles: Expectations for Treatment, Functional Outcomes and Adherence to Psychological Treatment Recommendations

    Directory of Open Access Journals (Sweden)

    Robyn Lewis Claar

    2011-01-01

    Full Text Available OBJECTIVES: To explore how adolescents’ pain coping profiles relate to their expectations regarding psychological treatment recommendations, and to examine patients’ functioning and engagement in psychological treatment three months following a multidisciplinary pain clinic evaluation.

  20. Gene Expression Profiles of Human Phosphotyrosine Phosphatases Consequent to Th1 Polarisation and Effector Function

    National Research Council Canada - National Science Library

    Patricia Castro-Sánchez; Rocio Ramirez-Munoz; Pedro Roda-Navarro

    2017-01-01

    .... Despite the relevance of CD4 T cell polarisation and effector function in human autoimmune diseases, the expression profile of PTPs during T helper polarisation and restimulation at inflammatory...

  1. Differentiating sex and species of Western Grebes (Aechmophorus occidentalis) and Clark's Grebes (Aechmophorus clarkii) and their eggs using external morphometrics and discriminant function analysis

    Science.gov (United States)

    Hartman, C. Alex; Ackerman, Joshua T.; Eagles-Smith, Collin A.; Herzog, Mark

    2016-01-01

    In birds where males and females are similar in size and plumage, sex determination by alternative means is necessary. Discriminant function analysis based on external morphometrics was used to distinguish males from females in two closely related species: Western Grebe (Aechmophorus occidentalis) and Clark's Grebe (A. clarkii). Additionally, discriminant function analysis was used to evaluate morphometric divergence between Western and Clark's grebe adults and eggs. Aechmophorus grebe adults (n = 576) and eggs (n = 130) were sampled across 29 lakes and reservoirs throughout California, USA, and adult sex was determined using molecular analysis. Both Western and Clark's grebes exhibited considerable sexual size dimorphism. Males averaged 6–26% larger than females among seven morphological measurements, with the greatest sexual size dimorphism occurring for bill morphometrics. Discriminant functions based on bill length, bill depth, and short tarsus length correctly assigned sex to 98% of Western Grebes, and a function based on bill length and bill depth correctly assigned sex to 99% of Clark's Grebes. Further, a simplified discriminant function based only on bill depth correctly assigned sex to 96% of Western Grebes and 98% of Clark's Grebes. In contrast, external morphometrics were not suitable for differentiating between Western and Clark's grebe adults or their eggs, with correct classification rates of discriminant functions of only 60%, 63%, and 61% for adult males, adult females, and eggs, respectively. Our results indicate little divergence in external morphology between species of Aechmophorus grebes, and instead separation is much greater between males and females.

  2. Disability and Profiles of Functioning of Patients with Parkinson's Disease Described with ICF Classification

    Science.gov (United States)

    Raggi, Alberto; Leonardi, Matilde; Ajovalasit, Daniela; Carella, Francesco; Soliveri, Paola; Albanese, Alberto; Romito, Luigi

    2011-01-01

    The objective of this study was to describe the functional profiles of patients with Parkinson's disease (PD), and the relationships between impairment in body functions, limitations in activities, and environmental factors, using the World Health Organization's International Classification of Functioning, Disability, and Health (ICF). Patients…

  3. Gradually-varied flow profiles in open channels analytical solutions by using Gaussian hypergeometric function

    CERN Document Server

    Jan, Chyan-Deng

    2014-01-01

    Gradually-varied flow (GVF) is a steady non-uniform flow in an open channel with gradual changes in its water surface elevation. The evaluation of GVF profiles under a specific flow discharge is very important in hydraulic engineering. This book proposes a novel approach to analytically solve the GVF profiles by using the direct integration and Gaussian hypergeometric function. Both normal-depth- and critical-depth-based dimensionless GVF profiles are presented. The novel approach has laid the foundation to compute at one sweep the GVF profiles in a series of sustaining and adverse channels, w

  4. Transcriptomic Profiling and Functional Characterization of Fusion Genes in Recurrent Ovarian Cancer

    Science.gov (United States)

    2017-09-01

    AWARD NUMBER: W81XWH-16-1-0403 TITLE: Transcriptomic Profiling and Functional Characterization of Fusion Genes in Recurrent Ovarian Cancer ...4. TITLE AND SUBTITLE Transcriptomic Profiling and Functional Characterization of Fusion Genes in Recurrent Ovarian Cancer 5a. CONTRACT NUMBER 5b...STATEMENT Approved for Public Release; Distribution Unlimited 13. SUPPLEMENTARY NOTES 14. ABSTRACT High-grade serous ovarian cancer (HGSOC) is known for

  5. Support vector machine with a Pearson VII function kernel for discriminating halophilic and non-halophilic proteins.

    Science.gov (United States)

    Zhang, Guangya; Ge, Huihua

    2013-10-01

    Understanding of proteins adaptive to hypersaline environment and identifying them is a challenging task and would help to design stable proteins. Here, we have systematically analyzed the normalized amino acid compositions of 2121 halophilic and 2400 non-halophilic proteins. The results showed that halophilic protein contained more Asp at the expense of Lys, Ile, Cys and Met, fewer small and hydrophobic residues, and showed a large excess of acidic over basic amino acids. Then, we introduce a support vector machine method to discriminate the halophilic and non-halophilic proteins, by using a novel Pearson VII universal function based kernel. In the three validation check methods, it achieved an overall accuracy of 97.7%, 91.7% and 86.9% and outperformed other machine learning algorithms. We also address the influence of protein size on prediction accuracy and found the worse performance for small size proteins might be some significant residues (Cys and Lys) were missing in the proteins. Copyright © 2013 The Authors. Published by Elsevier Ltd.. All rights reserved.

  6. Comparison of a combination of upper extremity performance measures and usual gait speed alone for discriminating upper extremity functional limitation and disability in older women.

    Science.gov (United States)

    Seino, Satoshi; Yabushita, Noriko; Kim, Mi-ji; Nemoto, Miyuki; Jung, Songee; Osuka, Yosuke; Okubo, Yoshiro; Matsuo, Tomoaki; Tanaka, Kiyoji

    2012-01-01

    Although usual gait speed (UGS) is considered an indicator of overall well-being, it is unclear whether upper extremity performance (UEP) measures provide a similar, additive contribution to functional status. We aimed to identify whether combining UEP measures can more accurately discriminate upper extremity functional limitation (UE limitation) and disability compared to UGS. We conducted a cross-sectional analysis on data from 322 community-dwelling older women, aged 65-96 years. Trained testers assessed UGS, and hand-grip strength (GRIP), functional reach (FR), back scratch, manipulating pegs (PEG), and moving beans with chopsticks as UEP measures. We assessed three functional statuses: UE limitation, activities of daily living (ADLs) and instrumental ADLs (IADLs) disabilities using self-reported questionnaires. Areas under the receiver operating characteristic curves (AUCs) were used to compare the discriminating power of UGS, with the individual and combined UEP measures for each status. Among UEP measures, only GRIP (AUC=0.68 for UE limitation, 0.81 for IADLs disability, and 0.84 for ADLs disability) could accurately discriminate each status as well as UGS (AUC=0.65, 0.83, and 0.91, respectively). Furthermore, UGS alone could discriminate UE limitation almost as well as the combination of GRIP, PEG, and FR (AUC=0.70). Combining other UEP measures did not help discriminate further. There were few advantages to combining UEP measures, and UGS or GRIP alone may suffice for assessing UE limitation and disability. However, the UGS should be the test of first choice, certainly more than GRIP, in routine assessment of functional limitation and disability, including UE limitation. Copyright © 2011 Elsevier Ireland Ltd. All rights reserved.

  7. Detecting Discrimination

    OpenAIRE

    Heckman, James J.

    1998-01-01

    The evidence on discrimination produced from the audit method is examined. Audits survey the average firm and not the marginal firm which determines the level of market discrimination. Taken on its own terms, there is little evidence of labor market discrimination from audit methods. The validity of audit methods is critically dependent on unverified assumptions about equality across race/gender groups of the distributions of unobserved (by audit designers) productivity components acted on by...

  8. Alcohol attitudes, motives, norms, and personality traits longitudinally classify nondrinkers, moderate drinkers, and binge drinkers using discriminant function analysis.

    Science.gov (United States)

    Lac, Andrew; Donaldson, Candice D

    2016-10-01

    Binge drinking is commonly defined in the literature as consuming at least 5 drinks for males and 4 drinks for females. These quantities correspond to approximately a blood alcohol concentration of 0.08%, the level of intoxication making it illegal to drive in the United States. The study scrutinized the longitudinal classification of three drinker types using male (n=155) and female (n=351) college students. Measures of personality (sensation seeking, extraversion, agreeableness, conscientiousness, neuroticism, and openness), alcohol attitudes, alcohol motivations (social, coping, enhancement, and conformity), and alcohol social norms (typical students, friends, closest friends, and parents) were administered at Time 1. Drinker type (nondrinkers, moderate drinkers, or binge drinkers) was assessed one month later. Discriminant function analyses revealed that the set of measures statistically distinguished among the three drinker types. The first function was significant and yielded high loadings for attitudes, social motives, enhancement motives, coping motives, closest friend norms, and friend norms for both genders. Model classification accuracy was 73% for the male and 67% female samples. Multivariate analysis of variance (MANOVA) compared mean differences in a 2 (gender: males or females)×3 (drinker type: nondrinkers, moderate drinkers, or binge drinkers) design. Measures systematically differing across all pairwise comparisons of the three drinker types, starting from the strongest effect (eta-squared), were as follows: alcohol attitudes, social motives, enhancement motives, closest friend norms, friend norms, coping motives, sensation seeking, and extraversion. Attitude, motivation, and norm variables tended to be more important than personality in distinguishing drinker types. Considering the malleability of attitudes and belief motivations, the risk variables of alcohol attitudes, social motives, and enhancement motives identified in this research warrant

  9. Functional Amnesia: Clinical Description and Neuropsychological Profile of 10 Cases

    Science.gov (United States)

    Kritchevsky, Mark; Chang, Judy; Squire, Larry R.

    2004-01-01

    We carried out the first neuropsychological study of a series of patients with functional amnesia. We evaluated 10 patients, first with a neurological examination and then with three tests of anterograde amnesia and four tests of retrograde amnesia. Excluding one patient who later admitted to malingering, all patients had a significant premorbid…

  10. Effect of Thyroid on Lipid Profile and Renal Function: An ...

    African Journals Online (AJOL)

    %), of which 36/64 (56.3%) were hypothyroid and 28/64 (43.8%) were hyperthyroid. No relation was found with renal function, but cholesterol was found high (>250 mg/dl) among hypothyroid patients and significant increase in TG, LDL levels ...

  11. [Basics of esthetic and functional cephalometric analysis of the profile].

    Science.gov (United States)

    Gola, R; Cheynet, F; Guyot, L; Richard, O

    2004-12-01

    We report a new cephalometric method for profile analysis, which uses strictly exobasicranial landmarks: 13 anatomic points, 9 bone points and 4 skin points. The analysis is based on phylogenetic, ontogenetic, anatomic and biomechanical data. Phylogenetic analysis reveals that the occipital plate belongs more to the cranial vault than the base of the skull. Embryology shows that on the midline the facial skull base ends at the spheno-occipital suture and that the overall skull base ends at the basion. The pre-maxillary fuses rapidly to the maxillary, while the pterygoid processes, which belong to the face and not the skull base, fusion very rapidly to the skull base. Revisiting the anatomy of the facial skull base shows that it is prolonged posteriorly medially to meast the synostosic creast and latterally to the glenoid fossae. Further anatomic analysis shows that the dentate and muscular part of the superior level of the facial mass correspond to equivalent parts of the inferior mandibular level. The biomechanical analysis reveals that the anterior pillar passes through the pre-maxillary, ending on the supra-orbital border and the glabella and as such belongs to the face. The posterior pillar follows the pterygoid process ending in the sphenoid. The glabella and these two pillars are taken into account in this new analysis technique.

  12. UFO: a web server for ultra-fast functional profiling of whole genome protein sequences.

    Science.gov (United States)

    Meinicke, Peter

    2009-09-02

    Functional profiling is a key technique to characterize and compare the functional potential of entire genomes. The estimation of profiles according to an assignment of sequences to functional categories is a computationally expensive task because it requires the comparison of all protein sequences from a genome with a usually large database of annotated sequences or sequence families. Based on machine learning techniques for Pfam domain detection, the UFO web server for ultra-fast functional profiling allows researchers to process large protein sequence collections instantaneously. Besides the frequencies of Pfam and GO categories, the user also obtains the sequence specific assignments to Pfam domain families. In addition, a comparison with existing genomes provides dissimilarity scores with respect to 821 reference proteomes. Considering the underlying UFO domain detection, the results on 206 test genomes indicate a high sensitivity of the approach. In comparison with current state-of-the-art HMMs, the runtime measurements show a considerable speed up in the range of four orders of magnitude. For an average size prokaryotic genome, the computation of a functional profile together with its comparison typically requires about 10 seconds of processing time. For the first time the UFO web server makes it possible to get a quick overview on the functional inventory of newly sequenced organisms. The genome scale comparison with a large number of precomputed profiles allows a first guess about functionally related organisms. The service is freely available and does not require user registration or specification of a valid email address.

  13. Spatial discrimination and visual discrimination

    DEFF Research Database (Denmark)

    Haagensen, Annika M. J.; Grand, Nanna; Klastrup, Signe

    2013-01-01

    in a visual discrimination test. The juvenile minipigs were able to learn the spatial hole-board discrimination test and showed improved working and reference memory during the learning phase. Performance in the memory phases was affected by the retention intervals, but the minipigs were able to remember...... the concept of the test in both memory phases. Working memory and reference memory were significantly improved in the last trials of the memory phases. In the visual discrimination test, the minipigs learned to discriminate between the three figures presented to them within 9-14 sessions. For the memory test......, all minipigs performed 9/12 correct choices or better. Juvenile Gottingen minipigs are able to learn to perform in a spatial hole-board discrimination test as well as in a visual discrimination test, showing an increase in performance over time. Both tests have considerable scope to assess learning...

  14. Regional Lung Function Profiles of Stage I and III Lung Cancer Patients: An Evaluation for Functional Avoidance Radiation Therapy

    Energy Technology Data Exchange (ETDEWEB)

    Vinogradskiy, Yevgeniy, E-mail: yevgeniy.vinogradskiy@ucdenver.edu [Department of Radiation Oncology, University of Colorado School of Medicine, Aurora, Colorado (United States); Schubert, Leah; Diot, Quentin; Waxweiller, Timothy [Department of Radiation Oncology, University of Colorado School of Medicine, Aurora, Colorado (United States); Koo, Phillip [Department of Radiology, University of Colorado School of Medicine, Aurora, Colorado (United States); Castillo, Richard [Department of Radiation Oncology, University of Texas Medical Branch, Galveston, Texas (United States); Castillo, Edward; Guerrero, Thomas [Department of Radiation Oncology, Beaumont Health System, Royal Oak, Michigan (United States); Rusthoven, Chad; Gaspar, Laurie; Kavanagh, Brian; Miften, Moyed [Department of Radiation Oncology, University of Colorado School of Medicine, Aurora, Colorado (United States)

    2016-07-15

    Purpose: The development of clinical trials is underway to use 4-dimensional computed tomography (4DCT) ventilation imaging to preferentially spare functional lung in patients undergoing radiation therapy. The purpose of this work was to generate data to aide with clinical trial design by retrospectively characterizing dosimetric and functional profiles for patients with different stages of lung cancer. Methods and Materials: A total of 118 lung cancer patients (36% stage I and 64% stage III) from 2 institutions were used for the study. A 4DCT-ventilation map was calculated using the patient's 4DCT imaging, deformable image registration, and a density-change–based algorithm. To assess each patient's spatial ventilation profile both quantitative and qualitative metrics were developed, including an observer-based defect observation and metrics based on the ventilation in each lung third. For each patient we used the clinical doses to calculate functionally weighted mean lung doses and metrics that assessed the interplay between the spatial location of the dose and high-functioning lung. Results: Both qualitative and quantitative metrics revealed a significant difference in functional profiles between the 2 stage groups (P<.01). We determined that 65% of stage III and 28% of stage I patients had ventilation defects. Average functionally weighted mean lung dose was 19.6 Gy and 5.4 Gy for stage III and I patients, respectively, with both groups containing patients with large spatial overlap between dose and high-function regions. Conclusion: Our 118-patient retrospective study found that 65% of stage III patients have regionally variant ventilation profiles that are suitable for functional avoidance. Our results suggest that regardless of disease stage, it is possible to have unique spatial interplay between dose and high-functional lung, highlighting the importance of evaluating the function of each patient and developing a personalized functional

  15. Profiles of visual perceptual functions in Down syndrome.

    Science.gov (United States)

    Wan, Yi-Ting; Chiang, Ching-Sui; Chen, Sharon Chia-Ju; Wang, Chih-Chung; Wuang, Yee-Pay

    2015-02-01

    The primary purpose of this study was to investigate the visual perceptual functions measured by the Test of Visual Perceptual Skill-Third Edition (TVPS-3) in Down syndrome (DS). Seventy individuals with DS, seventy with typical development (TD), and forty mental-age-matched participants with intellectual disabilities (ID) were recruited for the assessment session. Significant between-group differences in TVPS-3 were observed between either DS or ID and TD groups. There was no significant difference on TVPS-3 between DS and ID groups. Implications for clinical professionals and recommendations for further research are discussed. Copyright © 2014 Elsevier Ltd. All rights reserved.

  16. Children with High-Functioning Autism and Asperger's Syndrome: Can We Differentiate Their Cognitive Profiles?

    Science.gov (United States)

    Planche, Pascale; Lemonnier, Eric

    2012-01-01

    The aim of this study was to investigate whether children with high-functioning autism (HFA) and Asperger's syndrome (AS) can be differentiated from each other and from typically developing children on their cognitive profiles. The present study included a total of 45 participants: children with autism (high-functioning autism or Asperger's…

  17. Thyroid function profile in cord blood and postnatal changes at 24 ...

    African Journals Online (AJOL)

    Background: Studying the acute postnatal changes of newborn thyroid function is essential for determining the best timing of screening for congenital hypothyroidism. There is paucity of literature on neonatal thyroid function and particularly the postnatal changes in Nigeria. Objectives: To describe the profile of thyroid ...

  18. Discriminant function analysis for tracing successful factors associated with livestock projects for nutrition improvement in western Kenya.

    Science.gov (United States)

    Walingo, Mary K

    2009-04-01

    Livestock development is one of the major important strategies adopted by the Government of Kenya to expand agricultural output and to improve the nutritional status in rural areas. Livestock development interventions have targeted women smallholder farmers, with the realization of the great role they play in agriculture and as gatekeepers of the health and nutritional status of their household members. The purpose of the present study was therefore, to trace successful factors associated with Livestock Projects in Kenya in improving food and nutrition of populations. Discriminant functions for tracing successful factors for improved food security with livestock development projects were constructed for socio-demographic and agro-economic variables, patterns of food and nutrient intake by households, women and preschool children. The power of efficiency of various combinations was compared between beneficiary and non-beneficiary households, women and preschool children of the Livestock Development Projects (LDPs.) The order and best set of socio-demographic and agro-economic variables that differentiated between beneficiary and non-beneficiary households were milk price, time and income expenditure in the dairy enterprise expenditure on veterinary services, knowledge of dairy management, occupation of women heads of households, employment status of households member and milk yield. The order and best set of foods that were different between beneficiary and non-beneficiary households, women and preschool children were consumption of milk and milk products and green leafy vegetables. Further the order and the best set of nutrients that differentiated between beneficiary and non-beneficiary households, women and preschool children were intake of protein, vitamin A and energy. Livestock Development Projects, improved intake of milk and milk products green leafy vegetables, protein, vitamin A and energy among beneficiaries. These projects have great potential to improve

  19. Transcriptional profiles discriminate patients with pulmonary tuberculosis from non-tuberculous individuals depending on the presence of non-insulin diabetes mellitus.

    Science.gov (United States)

    Serrano, Carmen J; Cuevas-Córdoba, Betzaida; Macías-Segura, Noé; González-Curiel, Rosa Angélica; Martínez-Balderas, Víctor Yordani; Enciso-Moreno, Leonor; Small, Peter; Hernández-Pando, Rogelio; Enciso-Moreno, José Antonio

    2016-01-01

    Our objective was to identify transcriptional biomarkers in peripheral blood mononuclear cells (PBMC) that discriminate individuals with latent tuberculosis infection (LTBI) from those with pulmonary tuberculosis (PTB) in subjects with non-insulin-dependent diabetes mellitus (NIDDM) and in individuals without NIDDM. Using gene expression microarrays we identified differentially expressed genes from lungs of mice infected with Mycobacterium tuberculosis (Mtb) or a mutant (ΔsigH) representing a non-inflammatory model. Genes expressed in blood, with inflammatory related functions were evaluated in humans by RT-qPCR. NCF1 and ORM transcripts have the better discriminatory capacity to identify PTB subjects from LTBI and non-infected controls (NICs) independently of the presence of NIDDM. The sequential evaluation of the mRNA levels of NCF1 and ORM as multiple diagnostic tests showed 95% Sensitivity (Se) and 80% Specificity (Sp). In addition, FPR2 promises to be a good biomarker for the PTB detection in subjects with NIDDM (Se=100%; Sp=90%). Copyright © 2015 Elsevier Inc. All rights reserved.

  20. The functional role of some tomato products on lipid profile and liver function in adult rats.

    Science.gov (United States)

    Ibrahim, Hoda Salama; Ahmed, Lamiaa Ali; El-din, Maha Mohamed Essam

    2008-09-01

    This study was carried out to investigate the functional role of lycopene obtained from powder prepared from fresh tomato, tomato paste, and ketchup that contained equal amounts of lycopene based on levels of intake on body weight gain (BWG), feed intake, feed efficiency ratio (FER), lipid profiles, atherogenic index, and liver enzymes of hyperlipidemic rats. Forty-eight male albino rats were divided into two main groups: the first group (n = 6 rats) was kept on the basal diet as a normal control, while the second group (n = 42 rats) was fed a hyperlipidemic diet for 5 weeks to induce hyperlipidemia. The latter group was divided into seven subgroups: the first subgroup was the positive control group, while the others were supplemented with one of the tomato products at one of two levels (10 or 20 mg of lycopene/kg of diet). BWG, feed intake, and FER were calculated, and blood samples were collected to determine total lipids, total cholesterol, triglycerides, lipoprotein fractions, atherogenic index, and liver function in sera. Relative organ weights were also calculated. Results revealed that administration of various tomato products produced a significant reduction in feed intake except for the hyperlipidemic group that supplemented with the lower lycopene level from tomato paste. In addition, BWG and FER were not influenced by addition of tomato products at any level of intake. Hyperlipidemic rats supplemented with tomato powder, tomato paste, or ketchup showed significant improvement in almost all the parameters studied compared to the positive control group. Results showed that the higher lycopene level from tomato paste produced significant improvement in all lipid parameters, followed by 10 mg of lycopene/kg from tomato paste, which caused significant elevation in high-density lipoprotein cholesterol comparable to that of the negative control group. The lowest atherogenic index was achieved by addition of the lower lycopene level from tomato paste followed by

  1. Diagnostic Profiles of Patients Differentially Failing Executive Functioning Measures.

    Science.gov (United States)

    Hammers, Dustin; Ramirez, Gabriela; Persad, Carol; Heidebrink, Judith; Barbas, Nancy; Giordani, Bruno

    2016-05-01

    Limited research exists to explain differential executive functioning impairment in clinical populations, particularly between the Wisconsin Card Sorting Task (WCST) and the Trail Making Test (TMT). The distribution of clinical diagnoses was examined in patients failing none, one, or both tasks, and executive task performance was compared among dementia-related diagnoses. Two hundred and sixty-six participants received evaluations through an Alzheimer's Disease Research Center, which included executive tasks. Dementia-related diagnoses were established through consensus. Chi-square analyses indicated that TMT failure, with or without WCST failure, possessed higher associations with dementia diagnoses. Repeated measures analysis of variance similarly indicated that participants with dementia, especially mild and moderate severity, performed worse on TMT. Executive dysfunction was observed in dementia-related diagnoses, and TMT failure was implicated in dementia in higher proportions than WCST impairment. Trail Making Test appears more sensitive than WCST for assessing executive impairment across diagnoses, especially when time and resources are limited in screening and clinical settings. © The Author(s) 2015.

  2. FUNCTIONAL PROFILE OF ACTIVE OLDER ADULTS WITH LOW BACK PAIN, ACCORDING TO THE ICF

    Directory of Open Access Journals (Sweden)

    Andersom Ricardo Fréz

    Full Text Available ABSTRACT Introduction: The International Classification of Functioning, Disability and Health (ICF considers multiples aspects of functionality. It is believed that this tool can help to classify the functionality of older adults with low back pain (LBP . Objectives: To describe the functionality of active older adults with LBP according to the ICF. Methods: A transversal study was conducted using the brief ICF core set for low back pain, to establish functional profiles of 40 older adults. The ICF categories were considered valid when ≥20% of participants showed some disability. Results: Thirty-two of the 35 categories of the brief ICF core set could be considered representative of the sample. Conclusion: The brief ICF core set for LBP results demonstrated that this classification system is representative for describing the functional profile of the sample.

  3. Neurocognitive functions and behavioral profiles in children with nephropathic cystinosis

    Directory of Open Access Journals (Sweden)

    Reham Aly

    2014-01-01

    Full Text Available Children with nephropathic cystinosis (NCTN have evidence of defective intellec-tual functions and behavioral disorders. This prospective study was performed to detect the cognitive dysfunctions in patients with this rare hereditary lysosomal storage disease, define their behavioral phenotypes, and study the findings on magnetic resonance imaging (MRI of the brain. Thirteen patients with confirmed diagnosis of cystinosis (mean age ± SD 5.9 ± 3.0, range 1.5 - 12 years were subjected to the Stanford Binet test, Porteus Maze test, Child Behavior Checklist, and MRI brain. Thirteen age- and sex-matched children served as the control subjects (mean age ± SD 5.9 ± 2.9, range 1.7 - 12 years. The intelligence quotient (IQ was significantly lower in patients with cystinosis (P <0.001, with a significant defect in verbal (language, memory, and compre-hension and non-verbal abilities (visual perception and visiospatial and motor performance. A discrepancy between both abilities was detected - the non-verbal ability being lower; however, it did not reach statistical significance. Furthermore, analysis revealed the visiospatial ability to be significantly lower compared to the visual perception. In comparison to healthy controls, children with NCTN had evidence of increased incidence of behavioral problems, mainly social (P = 0.023. An MRI of the brain revealed varying degrees of atrophic changes in seven patients. Patients with NCTN need a wider scope of attention and care, encompassing not only the metabolic multisystem derangement, but also the neuropsychological impairment in the context of multidisciplinary management. This approach is crucial in formulating comprehensive plans for social and educational rehabilitation.

  4. Application of isotope discrimination techniques to evaluate the functional response of Mediterranean coppices to high-forest conversion cut

    Directory of Open Access Journals (Sweden)

    2005-01-01

    Full Text Available Discrimination of stable isotopes of carbon and hydrogen provides an effective tool for interpreting time-integrated responses of plants to environmental conditions and delineate sources of plant water uptake. In this work, isotopic analyses were carried out in two Mediterranean oak forests in which a thinning experiment on replicated plots has been performed. Changes in carbon isotope discrimination suggests an increase of water use efficiency soon after thinning. Together with changes in the hydrogen isotopic composition in xylem sap, this may suggest that trees are able of a rather prompt physiological acclimation to cope effectively to new environmental conditions and changes in resource availability.

  5. Training on Movement Figure-Ground Discrimination Remediates Low-Level Visual Timing Deficits in the Dorsal Stream, Improving High-Level Cognitive Functioning, Including Attention, Reading Fluency, and Working Memory

    OpenAIRE

    Teri Lawton; John Shelley-Tremblay

    2017-01-01

    The purpose of this study was to determine whether neurotraining to discriminate a moving test pattern relative to a stationary background, figure-ground discrimination, improves vision and cognitive functioning in dyslexics, as well as typically-developing normal students. We predict that improving the speed and sensitivity of figure-ground movement discrimination (PATH to Reading neurotraining) acts to remediate visual timing deficits in the dorsal stream, thereby improving processing speed...

  6. Genetic Discrimination

    Science.gov (United States)

    Skip to main content Genetic Discrimination Enter Search Term(s): Español Research Funding An Overview Bioinformatics Current Grants Education and Training Funding Extramural Research News Features ...

  7. Red cell indices and discriminant functions in the detection of beta-thalassaemia trait in a population with high prevalence of iron deficiency anaemia.

    Science.gov (United States)

    Madan, N; Sikka, M; Sharma, S; Rusia, U; Kela, K

    1999-01-01

    Red cell indices and discriminant functions were studied in 463 heterozygous beta-thalassaemics (337 without iron deficiency, 126 with iron deficiency) and 195 patients of iron deficiency anaemia (IDA) to ascertain their utility in the detection of betathalassaemia trait (BTT). Majority of traits in both groups had an elevated RBC count (> or = 5.0 x 10(12)/L). The counts were significantly higher than of patients with IDA, only 4.6% of whom had this degree of erythrocytosis. Mean Hb concentration was significantly higher in traits as compared to iron deficient subjects (p < 0.0001). Mean MCV and MCH were significantly (p < 0.0001) lower in traits more so in those with ID as compared to patients of IDA. MCV < 80 fl and MCH < 27 pg were found to be sensitive markers in the detection of traits even in the presence of ID. Of the four discriminant functions studied MCSQ was found to be most sensitive in detection of BTT and it identified 97.9% traits. DF of England and Fraser was most specific for BTT being < 8.4 in only 6.2% patients with IDA. Detection of erythrocytosis especially in the presence of mild anaemia and calculation of discriminant functions derived from red cell indices were found to play an important role in screening for BTT even in the presence of ID and helped identify those patients who required further laboratory evaluation.

  8. Sparse tensor discriminant analysis.

    Science.gov (United States)

    Lai, Zhihui; Xu, Yong; Yang, Jian; Tang, Jinhui; Zhang, David

    2013-10-01

    The classical linear discriminant analysis has undergone great development and has recently been extended to different cases. In this paper, a novel discriminant subspace learning method called sparse tensor discriminant analysis (STDA) is proposed, which further extends the recently presented multilinear discriminant analysis to a sparse case. Through introducing the L1 and L2 norms into the objective function of STDA, we can obtain multiple interrelated sparse discriminant subspaces for feature extraction. As there are no closed-form solutions, k-mode optimization technique and the L1 norm sparse regression are combined to iteratively learn the optimal sparse discriminant subspace along different modes of the tensors. Moreover, each non-zero element in each subspace is selected from the most important variables/factors, and thus STDA has the potential to perform better than other discriminant subspace methods. Extensive experiments on face databases (Yale, FERET, and CMU PIE face databases) and the Weizmann action database show that the proposed STDA algorithm demonstrates the most competitive performance against the compared tensor-based methods, particularly in small sample sizes.

  9. Dynamic Functional Network Connectivity Reveals Unique and Overlapping Profiles of Insula Subdivisions

    Science.gov (United States)

    Nomi, Jason S.; Farrant, Kristafor; Damaraju, Eswar; Rachakonda, Srinivas; Calhoun, Vince D.; Uddin, Lucina Q.

    2016-01-01

    The human insular cortex consists of functionally diverse subdivisions that engage during tasks ranging from interoception to cognitive control. The multiplicity of functions subserved by insular subdivisions calls for a nuanced investigation of their functional connectivity profiles. Four insula subdivisions (dorsal anterior, dAI; ventral, VI; posterior, PI; middle, MI) derived using a data-driven approach were subjected to static- and dynamic-functional network connectivity (s-FNC and d-FNC) analyses. Static-FNC analyses replicated previous work demonstrating a cognition-emotion-interoception division of the insula, where the dAI is functionally connected to frontal areas, the VI to limbic areas, and the PI and MI to sensorimotor areas. Dynamic-FNC analyses consisted of k-means clustering of sliding windows to identify variable insula connectivity states. The d-FNC analysis revealed that the most frequently occurring dynamic state mirrored the cognition-emotion-interoception division observed from the s-FNC analysis, with less frequently occurring states showing overlapping and unique subdivision connectivity profiles. In two of the states, all subdivisions exhibited largely overlapping profiles, consisting of subcortical, sensory, motor, and frontal connections. Two other states showed the dAI exhibited a unique connectivity profile compared with other insula subdivisions. Additionally, the dAI exhibited the most variable functional connections across the s-FNC and d-FNC analyses, and was the only subdivision to exhibit dynamic functional connections with regions of the default mode network. These results highlight how a d-FNC approach can capture functional dynamics masked by s-FNC approaches, and reveal dynamic functional connections enabling the functional flexibility of the insula across time. PMID:26880689

  10. Functional MRI Representational Similarity Analysis Reveals a Dissociation between Discriminative and Relative Location Information in the Human Visual System.

    Science.gov (United States)

    Roth, Zvi N

    2016-01-01

    Neural responses in visual cortex are governed by a topographic mapping from retinal locations to cortical responses. Moreover, at the voxel population level early visual cortex (EVC) activity enables accurate decoding of stimuli locations. However, in many cases information enabling one to discriminate between locations (i.e., discriminative information) may be less relevant than information regarding the relative location of two objects (i.e., relative information). For example, when planning to grab a cup, determining whether the cup is located at the same retinal location as the hand is hardly relevant, whereas the location of the cup relative to the hand is crucial for performing the action. We have previously used multivariate pattern analysis techniques to measure discriminative location information, and found the highest levels in EVC, in line with other studies. Here we show, using representational similarity analysis, that availability of discriminative information in fMRI activation patterns does not entail availability of relative information. Specifically, we find that relative location information can be reliably extracted from activity patterns in posterior intraparietal sulcus (pIPS), but not from EVC, where we find the spatial representation to be warped. We further show that this variability in relative information levels between regions can be explained by a computational model based on an array of receptive fields. Moreover, when the model's receptive fields are extended to include inhibitory surround regions, the model can account for the spatial warping in EVC. These results demonstrate how size and shape properties of receptive fields in human visual cortex contribute to the transformation of discriminative spatial representations into relative spatial representations along the visual stream.

  11. Crossmodal enhancement of visual orientation discrimination by looming sounds requires functional activation of primary visual areas: a case study.

    Science.gov (United States)

    Cecere, Roberto; Romei, Vincenzo; Bertini, Caterina; Làdavas, Elisabetta

    2014-04-01

    Approaching or looming sounds are salient, potentially threatening stimuli with particular impact on visual processing. The early crossmodal effects by looming sounds (Romei, Murray, Cappe, & Thut, 2009) and their selective impact on visual orientation discrimination (Leo, Romei, Freeman, Ladavas, & Driver, 2011) suggest that these multisensory interactions may take place already within low-level visual cortices. To investigate this hypothesis, we tested a patient (SDV) with bilateral occipital lesion and spared residual portions of V1/V2. Accordingly, SDV׳s visual perimetry revealed blindness of the central visual field with some residual peripheral vision. In two experiments we tested for the influence of looming vs. receding and stationary sounds on SDV׳s line orientation discrimination (orientation discrimination experiment) and visual detection abilities (detection experiment) in the preserved or blind portions of the visual field, corresponding to spared and lesioned areas of V1, respectively. In the visual orientation discrimination experiment we found that SDV visual orientation sensitivity significantly improved for visual targets paired with looming sounds but only for lines presented in the partially preserved visual field. In the visual detection experiment, where SDV was required to simply detect the same stimuli presented in the orientation discrimination experiment, a generalised sound-induced visual improvement both in the intact and in blind portion of the visual field was observed. These results provide direct evidence that early visual areas are critically involved in crossmodal modulation of visual orientation sensitivity by looming sounds. Thus, a lesion in V1 prevents the enhancement of visual orientation sensitivity. In contrast, the same lesion does not prevent the visual detection enhancement by a sound, probably due to alternative visual pathways (e.g. retino-colliculo-extrastriate) which are usually spared in these patients and able to

  12. Functional MRI Representational Similarity Analysis Reveals a Dissociation between Discriminative and Relative Location Information in the Human Visual System

    Directory of Open Access Journals (Sweden)

    Zvi N Roth

    2016-03-01

    Full Text Available Neural responses in visual cortex are governed by a topographic mapping from retinal locations to cortical responses. Moreover, at the voxel population level early visual cortex (EVC activity enables accurate decoding of stimuli locations. However, in many cases information enabling one to discriminate between locations (i.e. discriminative information may be less relevant than information regarding the relative location of two objects (i.e. relative information. For example, when planning to grab a cup, determining whether the cup is located at the same retinal location as the hand is hardly relevant, whereas the location of the cup relative to the hand is crucial for performing the action.We have previously used multivariate pattern analysis techniques to measure discriminative location information, and found the highest levels in early visual cortex, in line with other studies. Here we show, using representational similarity analysis, that availability of discriminative information in fMRI activation patterns does not entail availability of relative information. Specifically, we find that relative location information can be reliably extracted from activity patterns in posterior intraparietal sulcus (pIPS, but not from EVC, where we find the spatial representation to be warped.We further show that this variability in relative information levels between regions can be explained by a computational model based on an array of receptive fields. Moreover, when the model’s receptive fields are extended to include inhibitory surround regions, the model can account for the spatial warping in EVC.These results demonstrate how size and shape properties of receptive fields in human visual cortex contribute to the transformation of discriminative spatial representation into relative spatial representation along the visual stream.

  13. UFO: a web server for ultra-fast functional profiling of whole genome protein sequences

    Directory of Open Access Journals (Sweden)

    Meinicke Peter

    2009-09-01

    Full Text Available Abstract Background Functional profiling is a key technique to characterize and compare the functional potential of entire genomes. The estimation of profiles according to an assignment of sequences to functional categories is a computationally expensive task because it requires the comparison of all protein sequences from a genome with a usually large database of annotated sequences or sequence families. Description Based on machine learning techniques for Pfam domain detection, the UFO web server for ultra-fast functional profiling allows researchers to process large protein sequence collections instantaneously. Besides the frequencies of Pfam and GO categories, the user also obtains the sequence specific assignments to Pfam domain families. In addition, a comparison with existing genomes provides dissimilarity scores with respect to 821 reference proteomes. Considering the underlying UFO domain detection, the results on 206 test genomes indicate a high sensitivity of the approach. In comparison with current state-of-the-art HMMs, the runtime measurements show a considerable speed up in the range of four orders of magnitude. For an average size prokaryotic genome, the computation of a functional profile together with its comparison typically requires about 10 seconds of processing time. Conclusion For the first time the UFO web server makes it possible to get a quick overview on the functional inventory of newly sequenced organisms. The genome scale comparison with a large number of precomputed profiles allows a first guess about functionally related organisms. The service is freely available and does not require user registration or specification of a valid email address.

  14. Seasonal discrimination of C3 and C4 grasses functional types: An evaluation of the prospects of varying spectral configurations of new generation sensors

    Science.gov (United States)

    Shoko, Cletah; Mutanga, Onisimo

    2017-10-01

    The present study assessed the potential of varying spectral configuration of Landsat 8 Operational Land Imager (OLI), Sentinel 2 MultiSpectal Instrument (MSI) and Worldview 2 sensors in the seasonal discrimination of Festuca costata (C3) and Themeda Triandra (C4) grass species in the Drakensberg, South Africa. This was achieved by resampling hyperspectral measurements to the spectral windows corresponding to the three sensors at two distinct seasonal periods (summer peak and end of winter), using the Discriminant Analysis (DA) classification ensemble. In summer, standard bands of the Worldview 2 produced the highest overall classification accuracy (98.61%), followed by Sentinel 2 (97.52%), whereas the Landsat 8 spectral configuration was the least performer, using vegetation indices (95.83%). In winter, Sentinel 2 spectral bands produced the highest accuracy (96.18%) for the two species, followed by Worldview 2 (94.44%) and Landsat 8 yielded the least (91.67%) accuracy. Results also showed that maximum separability between C3 and C4 grasses was in summer, while at the end of winter considerable overlaps were noted, especially when using the spectral settings of the Landsat 8 OLI and Sentinel 2 shortwave infrared bands. Test of significance in species reflectance further confirmed that in summer, there were significant differences (P 0.05) between the two species. In this regard, the peak summer period presents a promising opportunity for the spectral discrimination of C3 and C4 grass species functional types, than the end of winter, when using multispectral sensors. Results from this study highlight the influence of seasonality on discrimination and therefore provide the basis for the successful discrimination and mapping of C3 and C4 grass species.

  15. Emerging applications of read profiles towards the functional annotation of the genome

    Directory of Open Access Journals (Sweden)

    Sachin ePundhir

    2015-05-01

    Full Text Available Functional annotation of the genome in various species is important to understand their phenotypic complexity. The road towards functional annotation involves several challenges ranging from experiments on individual molecules to large-scale analysis of high-throughput sequencing (HTS data. HTS data is typically a result of the protocol designed to address specific research questions. The sequencing results in reads, which when mapped to a reference genome often leads to the formation of distinct patterns (read profiles. Interpretation of these read profiles are essential for the analysis in relation to the research question addressed. Several strategies have been employed at varying levels of abstraction ranging from a somewhat ad hoc to a more systematic analysis of read profiles. These include methods which can compare read profiles, e.g. from direct (non-sequence based alignments to classification of patterns into functional groups. In this review, we highlight the emerging applications of read profiles for the annotation of non-coding RNA and cis-regulatory regions such as enhancers and promoters. We also discuss the biological rationale behind their formation.

  16. A power function profile of a ski jumping in-run hill.

    Science.gov (United States)

    Zanevskyy, Ihor

    2011-01-01

    The aim of the research was to find a function of the curvilinear segment profile which could make possible to avoid an instantaneous increasing of a curvature and to replace a circle arc segment on the in-run of a ski jump without any correction of the angles of inclination and the length of the straight-line segments. The methods of analytical geometry and trigonometry were used to calculate an optimal in-run hill profile. There were two fundamental conditions of the model: smooth borders between a curvilinear segment and straight-line segments of an in-run hill and concave of the curvilinear segment. Within the framework of this model, the problem has been solved with a reasonable precision. Four functions of a curvilinear segment profile of the in-run hill were investigated: circle arc, inclined quadratic parabola, inclined cubic parabola, and power function. The application of a power function to the in-run profile satisfies equal conditions for replacing a circle arc segment. Geometrical parameters of 38 modern ski jumps were investigated using the methods proposed.

  17. Nocturnal Polyuria : Excess of Nocturnal Urine Production, Excess of Definitions-Influence on Renal Function Profile

    NARCIS (Netherlands)

    Goessaert, An-Sofie; Walle, Johan Vande; Bosch, JLHR|info:eu-repo/dai/nl/088914364; Hoebeke, Piet; Everaert, Karel

    2016-01-01

    PURPOSE: This study aimed to identify important differences in renal function profile, and potential water and sodium diuresis cutoffs among participants with nocturnal polyuria according to nocturnal polyuria definitions. MATERIALS AND METHODS: This post hoc analysis was based on a prospective

  18. BASC-2 PRS Profiles for Students with High-Functioning Autism Spectrum Disorders

    Science.gov (United States)

    Volker, Martin A.; Lopata, Christopher; Smerbeck, Audrey M.; Knoll, Valerie A.; Thomeer, Marcus L.; Toomey, Jennifer A.; Rodgers, Jonathan D.

    2010-01-01

    BASC-2 PRS profiles of 62 children with high-functioning autism spectrum disorders (HFASDs) were compared with those of 62 typically-developing children matched by age, gender, and ethnicity. Results indicated that, except for the Somatization, Conduct Problems, and Aggression scales, significant differences were found between the HFASD and…

  19. Protein profile of human hepatocarcinoma cell line SMMC-7721: Identification and functional analysis

    OpenAIRE

    Feng, Yi; Tian, Zhong-Min; Wan, Ming-Xi; Zheng, Zhao-Bin

    2007-01-01

    AIM: To investigate the protein profile of human hepatocarcinoma cell line SMMC-7721, to analyze the specific functions of abundant expressed proteins in the processes of hepatocarcinoma genesis, growth and metastasis, to identify the hepatocarcinoma-specific biomarkers for the early prediction in diagnosis, and to explore the new drug targets for liver cancer therapy.

  20. Who Do We Deploy for Psychological Operations: A Function Profile for TPT Members

    Science.gov (United States)

    2008-01-01

    intrinsic motivation. The competences in the function profile for TPT members are: information gathering, reporting and analyzing ( cognitive ...Persoonijkheidskenmerken zijn karaktertrekken en eigenschappen die mensen maken wie ze zijn. In de psychologie wordt vaak de volgende definitie van...worden van vragenlijsten. In de psychologie bestaan gestandaardiseerde vragenlijsten voor het meten van verschillende persoonlijkheidstrekken. Er zijn

  1. The effect of rutin on lipid profile and liver function enzymes on ...

    African Journals Online (AJOL)

    The aim of this research was to investigate the effects of rutin on lipid profile and liver function enzymes on alloxan induced hyperglycaemia in Wistar rats. Hyperglycaemic was induced by intraperitoneal injection of 150 mg/kg alloxan monohydrate. The rats were grouped into five groups of five rats each. Group 1 served as ...

  2. Reduced anterior temporal and hippocampal functional connectivity during face processing discriminates individuals with social anxiety disorder from healthy controls and panic disorder, and increases following treatment.

    Science.gov (United States)

    Pantazatos, Spiro P; Talati, Ardesheer; Schneier, Franklin R; Hirsch, Joy

    2014-01-01

    Group functional magnetic resonance imaging (fMRI) studies suggest that anxiety disorders are associated with anomalous brain activation and functional connectivity (FC). However, brain-based features sensitive enough to discriminate individual subjects with a specific anxiety disorder and that track symptom severity longitudinally, desirable qualities for putative disorder-specific biomarkers, remain to be identified. Blood oxygen level-dependent (BOLD) fMRI during emotional face perceptual tasks and a new, large-scale and condition-dependent FC and machine learning approach were used to identify features (pair-wise correlations) that discriminated patients with social anxiety disorder (SAD, N=16) from controls (N=19). We assessed whether these features discriminated SAD from panic disorder (PD, N=16), and SAD from controls in an independent replication sample that performed a similar task at baseline (N: SAD=15, controls=17) and following 8-weeks paroxetine treatment (N: SAD=12, untreated controls=7). High SAD vs HCs discrimination (area under the ROC curve, AUC, arithmetic mean of sensitivity and specificity) was achieved with two FC features during unattended neutral face perception (AUC=0.88, PSAD vs PD (AUC=0.82, P=0.0001) and SAD vs HCs in the independent replication sample (FC during unattended angry face perception, AUC=0.71, P=0.01). The most informative FC was left hippocampus-left temporal pole, which was reduced in both SAD samples (replication sample P=0.027), and this FC increased following the treatment (post>pre, t(11)=2.9, P=0.007). In conclusion, SAD is associated with reduced FC between left temporal pole and left hippocampus during face perception, and results suggest promise for emerging FC-based biomarkers for SAD diagnosis and treatment effects.

  3. Discriminant function analysis of the occurrence risk of abnormal electrocardiogram in thyroidectomized differentiated thyroid carcinoma patients with short-term overt hypothyroidism.

    Science.gov (United States)

    Guan, Feng; Zhao, Hongguang; Jiao, Benzheng; Liu, Shanshan; Sa, Ri; Hou, Sen; Lin, Qiuyu; Wang, Qi; Lin, Chenghe

    2016-02-01

    The common form and risk factors of electrocardiogram (ECG) abnormality in thyroidectomized differentiated thyroid carcinoma (DTC) patients with short-term overt hypothyroidism were investigated and some discriminant formulas for forecasting the occurrence of abnormal ECG in this specific population were deduced in this study. A total of 260 thyroidectomized DTC patients were retrospectively reviewed, 67 of whom had abnormal ECG and 193 normal ECG after short-term (3 weeks) levothyroxine (L-T4) withdrawal. One-way ANOVA, Spearman's rank correlation analysis and discriminant function analysis were performed using data from these DTC patients. A flat or inverted T wave in inferior myocardial and left ventricular wall leads was the most common abnormal ECG finding in short-term overt hypothyroidism. Statistical analyses showed that age, interval, TSH-end (The serum hormothyrin level at the end of L-T4 withdrawal for 3 weeks), and TSH-vel (The average ascending velocity of serum hormothyrin level during L-T4 withdrawal for 3 weeks) were statistically significant and positively correlated with the occurrence of abnormal ECG. Meanwhile, TSH-vel showed the highest correlation coefficient (r = 0.358, p = 0.000). The formulas, especially deduced from age, interval and TSH-vel, could discriminate patients with abnormal ECG or not as high as 77.6 and 70.5%, respectively (resubstitution accuracy: 72.3%). The thyroidectomized DTC patients undergoing short-term L-T4 withdrawal before their first radioiodine ablative therapy, who had one or more of the above-mentioned risk factors, are likely to show abnormal ECG findings. The formulas from discriminant function analysis may be helpful for predicting patients with abnormal ECG with short-term L-T4 withdrawal and allow appropriate medical intervention beforehand.

  4. The role of discriminant functions in screening beta thalassemia trait and iron deficiency anemia among laboratory samples

    Directory of Open Access Journals (Sweden)

    Ashwani Kumar

    2017-01-01

    Conclusion: MI was the most efficient in discriminating BTT from iron deficiency anemia (IDA. RDWI stands to be the most accurate. S and L could at best be used as screening tool rather than DF. No study except one agreed with us because convenient sampling used in other studies generated bias in their results. Statistically, this study bears far more relevance than other studies because the sample distribution reflects the prevalence of IDA and BTT in the community.

  5. Mechanism and Function of Dendritic Self-Avoidance and Self/non-Self Discrimination in the Mammalian Nervous System

    OpenAIRE

    Kostadinov, Dimitar

    2015-01-01

    Dendritic and axonal arbors of many neuronal types exhibit self-avoidance, a phenomenon in which branches repel each other. This process ensures that individual neurons cover all parts of their territory uniformly. Some neurons that self-avoid overlap with neighbors of the same type, suggesting that nominally identical neurons are immune to each other’s repellent forces, a phenomenon called self/non-self discrimination. Here, I describe the roles of the 22 clustered gamma-Protocadherin (Pcdhg...

  6. Improving Dorsal Stream Function in Dyslexics by Training Figure/Ground Motion Discrimination Improves Attention, Reading Fluency, and Working Memory

    OpenAIRE

    Lawton, Teri

    2016-01-01

    There is an ongoing debate about whether the cause of dyslexia is based on linguistic, auditory, or visual timing deficits. To investigate this issue three interventions were compared in 58 dyslexics in second grade (7 years on average), two targeting the temporal dynamics (timing) of either the auditory or visual pathways with a third reading intervention (control group) targeting linguistic word building. Visual pathway training in dyslexics to improve direction-discrimination of moving tes...

  7. Improving Dorsal Stream Function in Dyslexics By Training Figure/Ground Motion Discrimination Improves Reading Fluency, Attention, and Working Memory

    OpenAIRE

    Teri Lawton

    2016-01-01

    There is an ongoing debate about whether the cause of dyslexia is based on linguistic, auditory, or visual timing deficits. To investigate this issue three interventions were compared in 58 dyslexics in second grade (7 years on average), two targeting the temporal dynamics (timing) of either the auditory or visual pathways with a third reading intervention (control group) using linguistic word building. Visual pathway training in dyslexics to improve direction-discrimination of moving test p...

  8. Improving Dorsal Stream Function in Dyslexics By Training Figure/Ground Motion Discrimination Improves Reading Fluency, Attention, and Working Memory

    Directory of Open Access Journals (Sweden)

    Teri Lawton

    2016-08-01

    Full Text Available There is an ongoing debate about whether the cause of dyslexia is based on linguistic, auditory, or visual timing deficits. To investigate this issue three interventions were compared in 58 dyslexics in second grade (7 years on average, two targeting the temporal dynamics (timing of either the auditory or visual pathways with a third reading intervention (control group using linguistic word building. Visual pathway training in dyslexics to improve direction-discrimination of moving test patterns relative to a stationary background (figure/ground discrimination significantly improved attention, reading fluency, both speed and comprehension, phonological processing, and both auditory and visual working memory relative to controls, whereas auditory training to improve phonological processing did not improve these academic skills significantly more than found for controls. This study supports the hypothesis that faulty timing in synchronizing the activity of magnocellular with parvocellular visual pathways is a fundamental cause of dyslexia, and argues against the assumption that reading deficiencies in dyslexia are caused by phonological deficits. This study demonstrates that visual movement direction-discrimination can be used to not only detect dyslexia early, but also for its successful treatment, so that reading problems do not prevent children from readily learning.

  9. High-Specificity Targeted Functional Profiling in Microbial Communities with ShortBRED.

    Directory of Open Access Journals (Sweden)

    James Kaminski

    2015-12-01

    Full Text Available Profiling microbial community function from metagenomic sequencing data remains a computationally challenging problem. Mapping millions of DNA reads from such samples to reference protein databases requires long run-times, and short read lengths can result in spurious hits to unrelated proteins (loss of specificity. We developed ShortBRED (Short, Better Representative Extract Dataset to address these challenges, facilitating fast, accurate functional profiling of metagenomic samples. ShortBRED consists of two components: (i a method that reduces reference proteins of interest to short, highly representative amino acid sequences ("markers" and (ii a search step that maps reads to these markers to quantify the relative abundance of their associated proteins. After evaluating ShortBRED on synthetic data, we applied it to profile antibiotic resistance protein families in the gut microbiomes of individuals from the United States, China, Malawi, and Venezuela. Our results support antibiotic resistance as a core function in the human gut microbiome, with tetracycline-resistant ribosomal protection proteins and Class A beta-lactamases being the most widely distributed resistance mechanisms worldwide. ShortBRED markers are applicable to other homology-based search tasks, which we demonstrate here by identifying phylogenetic signatures of antibiotic resistance across more than 3,000 microbial isolate genomes. ShortBRED can be applied to profile a wide variety of protein families of interest; the software, source code, and documentation are available for download at http://huttenhower.sph.harvard.edu/shortbred.

  10. Improving functional modules discovery by enriching interaction networks with gene profiles

    KAUST Repository

    Salem, Saeed

    2013-05-01

    Recent advances in proteomic and transcriptomic technologies resulted in the accumulation of vast amount of high-throughput data that span multiple biological processes and characteristics in different organisms. Much of the data come in the form of interaction networks and mRNA expression arrays. An important task in systems biology is functional modules discovery where the goal is to uncover well-connected sub-networks (modules). These discovered modules help to unravel the underlying mechanisms of the observed biological processes. While most of the existing module discovery methods use only the interaction data, in this work we propose, CLARM, which discovers biological modules by incorporating gene profiles data with protein-protein interaction networks. We demonstrate the effectiveness of CLARM on Yeast and Human interaction datasets, and gene expression and molecular function profiles. Experiments on these real datasets show that the CLARM approach is competitive to well established functional module discovery methods.

  11. Hierarchical partitioning of metazoan protein conservation profiles provides new functional insights.

    Directory of Open Access Journals (Sweden)

    Jonathan Witztum

    Full Text Available The availability of many complete, annotated proteomes enables the systematic study of the relationships between protein conservation and functionality. We explore this question based solely on the presence or absence of protein homologues (a.k.a. conservation profiles. We study 18 metazoans, from two distinct points of view: the human's and the fly's. Using the GOrilla gene ontology (GO analysis tool, we explore functional enrichment of the "universal proteins", those with homologues in all 17 other species, and of the "non-universal proteins". A large number of GO terms are strongly enriched in both human and fly universal proteins. Most of these functions are known to be essential. A smaller number of GO terms, exhibiting markedly different properties, are enriched in both human and fly non-universal proteins. We further explore the non-universal proteins, whose conservation profiles are consistent with the "tree of life" (TOL consistent, as well as the TOL inconsistent proteins. Finally, we applied Quantum Clustering to the conservation profiles of the TOL consistent proteins. Each cluster is strongly associated with one or a small number of specific monophyletic clades in the tree of life. The proteins in many of these clusters exhibit strong functional enrichment associated with the "life style" of the related clades. Most previous approaches for studying function and conservation are "bottom up", studying protein families one by one, and separately assessing the conservation of each. By way of contrast, our approach is "top down". We globally partition the set of all proteins hierarchically, as described above, and then identify protein families enriched within different subdivisions. While supporting previous findings, our approach also provides a tool for discovering novel relations between protein conservation profiles, functionality, and evolutionary history as represented by the tree of life.

  12. Emerging applications of read profiles towards the functional annotation of the genome

    DEFF Research Database (Denmark)

    Pundhir, Sachin; Poirazi, Panayiota; Gorodkin, Jan

    2015-01-01

    Functional annotation of the genome is important to understand the phenotypic complexity of various species. The road toward functional annotation involves several challenges ranging from experiments on individual molecules to large-scale analysis of high-throughput sequencing (HTS) data. HTS dat...... of patterns into functional groups. In this review, we highlight the emerging applications of read profiles for the annotation of non-coding RNA and cis-regulatory elements (CREs) such as enhancers and promoters. We also discuss the biological rationale behind their formation....

  13. Working Memory and Executive Function Profiles of Individuals with Borderline Intellectual Functioning

    Science.gov (United States)

    Alloway, T. P.

    2010-01-01

    Background: The aim of the present study was to investigate the following issues: (1) Do students with borderline intellectual functioning have a pervasive pattern of impaired working memory skills across both verbal and visuo-spatial domains? (2) Is there evidence for impairment in executive function skills, and which tasks indicate greater…

  14. Functional interactivity in social media: an examination of Chinese health care organizations' microblog profiles.

    Science.gov (United States)

    Jiang, Shaohai

    2017-09-08

    Social media hold enormous potentials as a communication tool for health care due to its interactive nature. However, prior research mainly focused on contingency interactivity of social media, by examining messages sent from health care organizations to audiences, while little is known about functional interactivity, which refers to social media's presence of functions for facilitating communication between users and its interface. That is, how health care organizations use interactive features on social media to communicate with the public. Thus, with a general basis of the functional interactivity framework proposed by Waters et al. (Engaging stakeholders through social networking: how nonprofit organizations are using Facebook. Pub Relat Rev 2009;35:102-106), the current study investigated three aspects of functional interactivity in microblogging, and its subsequent effects. Specifically, this study analyzed 500 Chinese hospitals' profiles on Sina Weibo, the most popular microblogging platform in China. The results showed that the most common functional interactivity feature was organization disclosure, followed by information dissemination, and audience involvement. These interactive features all positively predicted the number of followers. Also, Chinese private hospitals scored significantly higher than public hospitals to use interactive features offered by social media. The findings of this study provide important implications for health care organizations to understand new communicative functions available on social media, incorporate more functions into their profiles and thus provide audiences with greater opportunity to interact with them via social media. © The Author 2017. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.com.

  15. C-source metabolic profilings of foodborne Shiga-toxin producing E. coli match serogroup differentiations and highlight functional adaptations.

    Science.gov (United States)

    Kerangart, Stéphane; Cournoyer, Benoit; Loukiadis, Estelle

    2018-02-02

    The tropism of pathogenic STEC for foodstuffs and cattle reservoir is related to functional specializations. An investigation of C-source utilization patterns among and between STEC serogroups was performed using omnilog phenotypic microarrays (OM). OM functional groupings were compared with STEC phylogroups, seropathotypes, EFSA's molecular risk assessment groups and serogroups. OM INT reduction activities of 37 STEC strains growing on 190 C-substrates were compared. Each strain had its own specific C-utilization profile but 23% of the substrates was used by all strains, 47% by none, and 30% was variably metabolized. Galactose, mannose, N-acetyl-glucosamine (GlcNAc), and N-acetyl neuraminic acid (Neu5Ac) found in the mucus layer of the bovine small intestine were metabolized by all strains. The 56 most informative substrates divided the C-utilization patterns (CP) into three clusters with: (A) harboring all O157 and O145 strains; (B) all O26 strains, and (C) strains of the other serogroups. Significant correlations between INT reduction values of pair of strains per CP group supported these differentiations. CP of group A and B strains were respectively defective in the use of galactonic acid-γ-lactone and rhamnose. Most CP group C strains grew with l-lyxose. Adjusted Wallace coefficients analyses of the datasets indicated high probabilities for the prediction of the use of glycolic acid, β-hydroxybutyric acid, l-lyxose and d-galactonic acid-γ-lactone and 5-keto-d-gluconic acid by a serogroup. The use of a C-substrate could be predicted from the classification of a strain into a phylogroup or seropathotype. Significantly lower numbers of C-substrates were used by seropathotype A strains like O157 ones. Improvements of STEC identification keys were proposed using the most discriminant C-substrates found in this study. Copyright © 2017 Elsevier B.V. All rights reserved.

  16. Core microbial functional activities in ocean environments revealed by global metagenomic profiling analyses.

    KAUST Repository

    Ferreira, Ari J S

    2014-06-12

    Metagenomics-based functional profiling analysis is an effective means of gaining deeper insight into the composition of marine microbial populations and developing a better understanding of the interplay between the functional genome content of microbial communities and abiotic factors. Here we present a comprehensive analysis of 24 datasets covering surface and depth-related environments at 11 sites around the world\\'s oceans. The complete datasets comprises approximately 12 million sequences, totaling 5,358 Mb. Based on profiling patterns of Clusters of Orthologous Groups (COGs) of proteins, a core set of reference photic and aphotic depth-related COGs, and a collection of COGs that are associated with extreme oxygen limitation were defined. Their inferred functions were utilized as indicators to characterize the distribution of light- and oxygen-related biological activities in marine environments. The results reveal that, while light level in the water column is a major determinant of phenotypic adaptation in marine microorganisms, oxygen concentration in the aphotic zone has a significant impact only in extremely hypoxic waters. Phylogenetic profiling of the reference photic/aphotic gene sets revealed a greater variety of source organisms in the aphotic zone, although the majority of individual photic and aphotic depth-related COGs are assigned to the same taxa across the different sites. This increase in phylogenetic and functional diversity of the core aphotic related COGs most probably reflects selection for the utilization of a broad range of alternate energy sources in the absence of light.

  17. Core microbial functional activities in ocean environments revealed by global metagenomic profiling analyses.

    Directory of Open Access Journals (Sweden)

    Ari J S Ferreira

    Full Text Available Metagenomics-based functional profiling analysis is an effective means of gaining deeper insight into the composition of marine microbial populations and developing a better understanding of the interplay between the functional genome content of microbial communities and abiotic factors. Here we present a comprehensive analysis of 24 datasets covering surface and depth-related environments at 11 sites around the world's oceans. The complete datasets comprises approximately 12 million sequences, totaling 5,358 Mb. Based on profiling patterns of Clusters of Orthologous Groups (COGs of proteins, a core set of reference photic and aphotic depth-related COGs, and a collection of COGs that are associated with extreme oxygen limitation were defined. Their inferred functions were utilized as indicators to characterize the distribution of light- and oxygen-related biological activities in marine environments. The results reveal that, while light level in the water column is a major determinant of phenotypic adaptation in marine microorganisms, oxygen concentration in the aphotic zone has a significant impact only in extremely hypoxic waters. Phylogenetic profiling of the reference photic/aphotic gene sets revealed a greater variety of source organisms in the aphotic zone, although the majority of individual photic and aphotic depth-related COGs are assigned to the same taxa across the different sites. This increase in phylogenetic and functional diversity of the core aphotic related COGs most probably reflects selection for the utilization of a broad range of alternate energy sources in the absence of light.

  18. Functional profiling of mercuric reductase (mer A genes in biofilm communities of a technical scale biocatalyzer

    Directory of Open Access Journals (Sweden)

    von Canstein Harald

    2003-10-01

    Full Text Available Abstract Background Bacterial mercury resistance is based on enzymatic reduction of ionic mercury to elemental mercury and has recently been demonstrated to be applicable for industrial wastewater clean-up. The long-term monitoring of such biocatalyser systems requires a cultivation independent functional community profiling method targeting the key enzyme of the process, the merA gene coding for the mercuric reductase. We report on the development of a profiling method for merA and its application to monitor changes in the functional diversity of the biofilm community of a technical scale biocatalyzer over 8 months of on-site operation. Results Based on an alignment of 30 merA sequences from Gram negative bacteria, conserved primers were designed for amplification of merA fragments with an optimized PCR protocol. The resulting amplicons of approximately 280 bp were separated by thermogradient gelelectrophoresis (TGGE, resulting in strain specific fingerprints for mercury resistant Gram negative isolates with different merA sequences. The merA profiling of the biofilm community from a technical biocatalyzer showed persistence of some and loss of other inoculum strains as well as the appearance of new bands, resulting in an overall increase of the functional diversity of the biofilm community. One predominant new band of the merA community profile was also detected in a biocatalyzer effluent isolate, which was identified as Pseudomonas aeruginosa. The isolated strain showed lower mercury reduction rates in liquid culture than the inoculum strains but was apparently highly competitive in the biofilm environment of the biocatalyzer where moderate mercury levels were prevailing. Conclusions The merA profiling technique allowed to monitor the ongoing selection for better adapted strains during the operation of a biocatalyzer and to direct their subsequent isolation. In such a way, a predominant mercury reducing Ps. aeruginosa strain was identified by

  19. Towards refactoring the Molecular Function Ontology with a UML profile for function modeling.

    Science.gov (United States)

    Burek, Patryk; Loebe, Frank; Herre, Heinrich

    2017-10-04

    Gene Ontology (GO) is the largest resource for cataloging gene products. This resource grows steadily and, naturally, this growth raises issues regarding the structure of the ontology. Moreover, modeling and refactoring large ontologies such as GO is generally far from being simple, as a whole as well as when focusing on certain aspects or fragments. It seems that human-friendly graphical modeling languages such as the Unified Modeling Language (UML) could be helpful in connection with these tasks. We investigate the use of UML for making the structural organization of the Molecular Function Ontology (MFO), a sub-ontology of GO, more explicit. More precisely, we present a UML dialect, called the Function Modeling Language (FueL), which is suited for capturing functions in an ontologically founded way. FueL is equipped, among other features, with language elements that arise from studying patterns of subsumption between functions. We show how to use this UML dialect for capturing the structure of molecular functions. Furthermore, we propose and discuss some refactoring options concerning fragments of MFO. FueL enables the systematic, graphical representation of functions and their interrelations, including making information explicit that is currently either implicit in MFO or is mainly captured in textual descriptions. Moreover, the considered subsumption patterns lend themselves to the methodical analysis of refactoring options with respect to MFO. On this basis we argue that the approach can increase the comprehensibility of the structure of MFO for humans and can support communication, for example, during revision and further development.

  20. Association of altered cardiac autonomic function with psychopathology and metabolic profiles in schizophrenia.

    Science.gov (United States)

    Chung, Ming-Shun; Yang, Albert C; Lin, Yu-Chung; Lin, Chieh-Nan; Chang, Fang-Rong; Shen, Shu-hua; Ouyang, Wen-Chen; Loh, El-Wui; Chiu, Hsien-Jane

    2013-12-30

    Schizophrenia has been associated with autonomic dysregulation and increased cardiovascular co-morbidity. We hypothesised that autonomic dysregulation in patients with schizophrenia is associated with psychopathology and metabolic profiles. In this study, we aimed to evaluate psychopathology, comprehensive metabolic profiles and cardiac autonomic function using heart-rate variability (HRV) analysis in patients with schizophrenia. A total of 94 patients with schizophrenia and 51 healthy controls were recruited. Each patient underwent a physical examination, laboratory tests and rating scale evaluation, and all subjects underwent a 1-h electrocardiogram monitoring. Analysis of variance was used to compare demographic and HRV variables between control and patient groups. We applied multiple regression analysis with backward selection to examine the association between HRV indices and demographic, metabolic and psychopathology profiles. A decreased HRV was found in patient groups, compared to controls. Reduced vagal-related and complexity domain of HRV indices in patient groups were correlated with increased body mass indices, diastolic pressure, triglycerides, high- and low-density lipoprotein and severity of psychosis mainly in the negative symptom domain. This study provides evidence that altered autonomic function is associated with both psychopathology and metabolic profiles in patients with schizophrenia. These findings may warrant future research in using HRV as objective markers to monitor cardiovascular health and the severity of psychosis in patients with schizophrenia. Copyright © 2013 Elsevier Ireland Ltd. All rights reserved.

  1. Deriving the slit functions from OMI solar observations and its implications for ozone-profile retrieval

    Science.gov (United States)

    Sun, Kang; Liu, Xiong; Huang, Guanyu; González Abad, Gonzalo; Cai, Zhaonan; Chance, Kelly; Yang, Kai

    2017-10-01

    The Ozone Monitoring Instrument (OMI) has been successfully measuring the Earth's atmospheric composition since 2004, but the on-orbit behavior of its slit functions has not been thoroughly characterized. Preflight measurements of slit functions have been used as a static input in many OMI retrieval algorithms. This study derives on-orbit slit functions from the OMI irradiance spectra assuming various function forms, including standard and super-Gaussian functions and a stretch to the preflight slit functions. The on-orbit slit functions in the UV bands show U-shaped cross-track dependences that cannot be fully represented by the preflight ones. The full widths at half maximum (FWHM) of the stretched preflight slit functions for detector pixels at large viewing angles are up to 30 % larger than the nadir pixels for the UV1 band, 5 % larger for the UV2 band, and practically flat in the VIS band. Nonetheless, the on-orbit changes of OMI slit functions are found to be insignificant over time after accounting for the solar activity, despite of the decaying of detectors and the occurrence of OMI row anomaly. Applying the derived on-orbit slit functions to ozone-profile retrieval shows substantial improvements over the preflight slit functions based on comparisons with ozonesonde validations.

  2. Discovering functional linkages and uncharacterized cellular pathways using phylogenetic profile comparisons: a comprehensive assessment

    Directory of Open Access Journals (Sweden)

    Aravind L

    2007-05-01

    Full Text Available Abstract Background A widely-used approach for discovering functional and physical interactions among proteins involves phylogenetic profile comparisons (PPCs. Here, proteins with similar profiles are inferred to be functionally related under the assumption that proteins involved in the same metabolic pathway or cellular system are likely to have been co-inherited during evolution. Results Our experimentation with E. coli and yeast proteins with 16 different carefully composed reference sets of genomes revealed that the phyletic patterns of proteins in prokaryotes alone could be adequate enough to make reasonably accurate functional linkage predictions. A slight improvement in performance is observed on adding few eukaryotes into the reference set, but a noticeable drop-off in performance is observed with increased number of eukaryotes. Inclusion of most parasitic, pathogenic or vertebrate genomes and multiple strains of the same species into the reference set do not necessarily contribute to an improved sensitivity or accuracy. Interestingly, we also found that evolutionary histories of individual pathways have a significant affect on the performance of the PPC approach with respect to a particular reference set. For example, to accurately predict functional links in carbohydrate or lipid metabolism, a reference set solely composed of prokaryotic (or bacterial genomes performed among the best compared to one composed of genomes from all three super-kingdoms; this is in contrast to predicting functional links in translation for which a reference set composed of prokaryotic (or bacterial genomes performed the worst. We also demonstrate that the widely used random null model to quantify the statistical significance of profile similarity is incomplete, which could result in an increased number of false-positives. Conclusion Contrary to previous proposals, it is not merely the number of genomes but a careful selection of informative genomes in the

  3. Tool use ability depends on understanding of functional dynamics and not specific joint contribution profiles

    Directory of Open Access Journals (Sweden)

    Ross eParry

    2014-04-01

    Full Text Available Researchers in cognitive neuroscience have become increasingly interested in how different aspects of tool use are integrated and represented by the brain. Comparatively less attention has been directed towards tool use actions themselves and how effective tool use behaviors are coordinated. In response, we take this opportunity to consider the mechanical principles of tool use actions and their relationship to motor learning. Using kinematic analysis, we examine both functional dynamics and joint contribution profiles of subjects with different levels of experience in a primordial percussive task. Our results show that the ability to successfully produce stone flakes using the Oldowan method did not correspond with any particular joint contribution profile. Rather, expertise in this tool use action was principally associated with the subject’s ability to regulate the functional parameters that define the task itself.

  4. Gene expression profiles of the cochlea and vestibular endorgans: localization and function of genes causing deafness.

    Science.gov (United States)

    Nishio, Shin-Ya; Hattori, Mitsuru; Moteki, Hideaki; Tsukada, Keita; Miyagawa, Maiko; Naito, Takehiko; Yoshimura, Hidekane; Iwasa, Yoh-Ichiro; Mori, Kentaro; Shima, Yutaka; Sakuma, Naoko; Usami, Shin-Ichi

    2015-05-01

    We sought to elucidate the gene expression profiles of the causative genes as well as the localization of the encoded proteins involved in hereditary hearing loss. Relevant articles (as of September 2014) were searched in PubMed databases, and the gene symbols of the genes reported to be associated with deafness were located on the Hereditary Hearing Loss Homepage using localization, expression, and distribution as keywords. Our review of the literature allowed us to systematize the gene expression profiles for genetic deafness in the inner ear, clarifying the unique functions and specific expression patterns of these genes in the cochlea and vestibular endorgans. The coordinated actions of various encoded molecules are essential for the normal development and maintenance of auditory and vestibular function. © The Author(s) 2015.

  5. Cognitive functions, lipid profile, and Apolipoprotein E gene polymorphism in postmenopausal women

    Directory of Open Access Journals (Sweden)

    Iwona Bojar

    2015-05-01

    Full Text Available The objective of the study was investigation of the relationship between cognitive functions and lipid profile, BMI and change of body weight in postmenopausal women carriers of Apolipoprotein E gene polymorphisms (APOE. A group of 170 women was recruited to the study. The inclusion criteria were: minimum of two years after the last menstruation, FSH concentration 30 U/ml and no signs of dementia on the Montreal Cognitive Assessment (MoCA. A computerized battery of Central Nervous System Vital Signs (CNS VS was used for diagnostic cognitive functions. APOE genotype was performed by multiplex PCR. In blood plasma were determined: triglycerides, total cholesterol and its fractions: HDL cholesterol and LDL cholesterol. Statistical analysis was performed using two-way analysis of variance in STATISTICA software. In the postmenopausal women examined, the carrier state of APOE gene polymorphism was associated with the level of triglycerides, and results concerning three cognitive functions: executive functions, psychomotor speed, and cognitive flexibility. Loss of body weight in postmenopausal women was related with lower results in neurocognitive index and the majority of cognitive functions. The results concerning cognitive functions in postmenopausal women in the study were not significantly related with lipid profile. Significant differences were observed according to APOE gene polymorphism in correlations between LDL/HDL and CHOL/HDL ratios, and results in the processing speed and reaction time, as well as between the BMI and results in processing speed in the postmenopausal women examined.

  6. Profile of the elderly in physical therapy and its relation to functional disability.

    Science.gov (United States)

    Rossi, Ana L S; Pereira, Vanessa S; Driusso, Patrícia; Rebelatto, José R; Ricci, Natalia A

    2013-01-01

    As the population ages, changes occur in the epidemiological profile towards the current predominance of chronic degenerative diseases which, when untreated, lead to loss of functional capacity and require long-term assistance. To describe the profile of the elderly attending the geriatric physical therapy service and to identify factors associated with functional disability. A cross-sectional descriptive analytical study was conducted. The medical records of elderly individuals were analyzed using the first physical therapy assessment, which included sociodemographic, clinical and mobility data. To determine the degree of disability (mild/moderate), the Brazilian Multidimensional Functional Assessment Questionnaire (BOMFAQ) was used. Descriptive analysis and univariate logistic regression were performed, followed by multivariate logistic regression. The sample comprised 130 elderly patients with a mean age of 73.3 [standar deviation (SD)=7.2] years-old, predominantly female (63.9%), sedentary (71.5%) and presenting three to four diseases (47.7%). The mean of activities with difficulty in the BOMFAQ was 6.7 (SD=4.8), 35 (26.9%) individuals presented mild disability and 95 (73.1%) moderate. The participant characteristic that presented a greatest risk of disability was self-reporting of poor health (OR=12.4). The factors identified, which together can determine functional decline, were sedentary lifestyle, presence of dizziness, polypharmacy and high pain intensity. Elderly individuals attended by the geriatric physical therapy service showed a profile associated with disability, characterized by potentially modifiable factors. This profile also reinforces the demand for long-term care for this population.

  7. Within centre evaluation of hypercalcaemia discriminant

    DEFF Research Database (Denmark)

    Nielsen, Bo Friis; Conradsen, Knut

    1996-01-01

    Diagnostic hypercalcaemia discriminant functions, discriminating between clinically significant and non-significant hypercalcaemia, were tested 5 years after their development in order to evaluate the impact of time on their diagnostic capacity. Two populations, consisting of 257 and 129 patients...

  8. Mental rotation task specifically modulates functional connectivity strength of intrinsic brain activity in low frequency domains: A maximum uncertainty linear discriminant analysis.

    Science.gov (United States)

    Gao, Mengxia; Zhang, Delong; Wang, Zengjian; Liang, Bishan; Cai, Yuxuan; Gao, Zhenni; Li, Junchao; Chang, Song; Jiao, Bingqing; Huang, Ruiwang; Liu, Ming

    2017-03-01

    Neuroimaging studies have highlighted that intrinsic brain activity is modified to implement task demands. However, the relation between mental rotation and intrinsic brain activity remains unclear. To answer this question, we collected functional MRI (fMRI) data from 30 healthy participants in two mental rotation task periods (1st-task state, 2nd-task state) and two rest periods before (pre-task resting state) and after the task (post-task resting state) respectively. By combining the spatial independent component analysis (ICA) and voxel-wise functional connectivity strength (FCS), we identified FCS maps of 10 brain resting state networks (RSNs) within six different bands (i.e., 0-0.05, 0.05-0.1, 0.1-0.15, 0.15-0.2, 0.2-0.25, and 0.01-0.08Hz) corresponding to the four states for each subject. The maximum uncertainty linear discriminant analysis (MLDA) method showed that the FCS within the low frequency bandwidth of 0.05-0.1Hz could effectively classify the mental rotation task state from pre-/post-task resting states but failed to discriminate the pre- and post-task resting states. Discriminative FCSs were observed in the cognitive executive-control network (central executive and attention) and the imagery-based internal mental manipulation network (default mode, primary sensorimotor, and primary visual). Imagery manipulation is a stable mental element of mental rotation, and the involvement of executive control is dependent on the degree of task familiarity. Together, the present study provides evidence that mental rotation task specifically modifies intrinsic brain activity to complement cognitive demands, which provides further insight into the neural basis of mental rotation manipulation. Copyright © 2016 Elsevier B.V. All rights reserved.

  9. Profiles of Dispositional Expectancies and Affectivity Predict Later Psychosocial Functioning in Children and Adolescents With Cancer.

    Science.gov (United States)

    Okado, Yuko; Howard Sharp, Katianne M; Tillery, Rachel; Long, Alanna M; Phipps, Sean

    2016-04-01

    Examined how individual differences in disposition among pediatric cancer patients predict their later psychosocial functioning. Patients aged 8-17 years (N = 223) reported on their disposition at baseline. One and three years later, self-reports and parent reports of patient psychosocial functioning were obtained. Latent profile analysis was used to identify subgroups that differed on baseline disposition and to compare them on later outcomes. Three groups were identified: The "Positive" group (59%) had high optimism and positive affectivity and low pessimism and negative affectivity; the "Moderate" group (39%) had a similar profile, with less exaggerated scores; a small, "Negative" group (2%) had the opposite profile (low optimism/positive affectivity; high pessimism/negative affectivity). These groups differed in psychosocial functioning at follow-up, generally in expected directions. Most patients have a disposition that may be protective. A small minority at high risk for maladjustment is distinguished by their disposition. © The Author 2015. Published by Oxford University Press on behalf of the Society of Pediatric Psychology. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

  10. Prediction of mitochondrial protein function by comparative physiology and phylogenetic profiling.

    Science.gov (United States)

    Cheng, Yiming; Perocchi, Fabiana

    2015-01-01

    According to the endosymbiotic theory, mitochondria originate from a free-living alpha-proteobacteria that established an intracellular symbiosis with the ancestor of present-day eukaryotic cells. During the bacterium-to-organelle transformation, the proto-mitochondrial proteome has undergone a massive turnover, whereby less than 20 % of modern mitochondrial proteomes can be traced back to the bacterial ancestor. Moreover, mitochondrial proteomes from several eukaryotic organisms, for example, yeast and human, show a rather modest overlap, reflecting differences in mitochondrial physiology. Those differences may result from the combination of differential gain and loss of genes and retargeting processes among lineages. Therefore, an evolutionary signature, also called "phylogenetic profile", could be generated for every mitochondrial protein. Here, we present two evolutionary biology approaches to study mitochondrial physiology: the first strategy, which we refer to as "comparative physiology," allows the de novo identification of mitochondrial proteins involved in a physiological function; the second, known as "phylogenetic profiling," allows to predict protein functions and functional interactions by comparing phylogenetic profiles of uncharacterized and known components.

  11. Association of cytokine and matrix metalloproteinase profiles with disease activity and function in ankylosing spondylitis

    Science.gov (United States)

    2012-01-01

    Introduction The pathology of ankylosing spondylitis (AS) suggests that certain cytokines and matrix metalloproteinases (MMPs) might provide useful markers of disease activity. Serum levels of some cytokines and MMPs have been found to be elevated in active disease, but there is a general lack of information about biomarker profiles in AS and how these are related to disease activity and function. The purpose of this study was to investigate whether clinical measures of disease activity and function in AS are associated with particular profiles of circulating cytokines and MMPs. Methods Measurement of 30 cytokines, five MMPs and four tissue inhibitors of metalloproteinases was carried out using Luminex® technology on a well-characterised population of AS patients (n = 157). The relationship between biomarker levels and measures of disease activity (Bath ankylosing spondylitis disease activity index (BASDAI)), function (Bath ankylosing spondylitis functional index) and global health (Bath ankylosing spondylitis global health) was investigated. Principal component analysis was used to reduce the large number of biomarkers to a smaller set of independent components, which were investigated for their association with clinical measures. Further analyses were carried out using hierarchical clustering, multiple regression or multivariate logistic regression. Results Principal component analysis identified eight clusters consisting of various combinations of cytokines and MMPs. The strongest association with the BASDAI was found with a component consisting of MMP-8, MMP-9, hepatocyte growth factor and CXCL8, and was independent of C-reactive protein levels. This component was also associated with current smoking. Hierarchical clustering revealed two distinct patient clusters that could be separated on the basis of MMP levels. The high MMP cluster was associated with increased C-reactive protein, the BASDAI and the Bath ankylosing spondylitis functional index. Conclusions

  12. Functional Profiling of Unfamiliar Microbial Communities Using a Validated De Novo Assembly Metatranscriptome Pipeline.

    Directory of Open Access Journals (Sweden)

    Mark Davids

    Full Text Available Metatranscriptomic landscapes can provide insights in functional relationships within natural microbial communities. Analysis of complex metatranscriptome datasets of these communities poses a considerable bioinformatic challenge since they are non-restricted with a varying number of participating strains and species. For RNA-Seq data a standard approach is to align the generated reads to a set of closely related reference genomes. This only works well for microbial communities for which a near complete catalogue of reference genomes is available at a small evolutionary distance. In this study, we focus on the design of a validated de novo metatranscriptome assembly pipeline for single-end Illumina RNA-Seq data to obtain functional and taxonomic profiles of murine microbial communities.The here developed de novo assembly metatranscriptome pipeline combined rRNA removal, IDBA-UD assembler, functional annotation and taxonomic classification. Different assemblers were tested and validated using RNA-Seq data from an in silico generated mock community and in vivo RNA-Seq data from a restricted microbial community taken from a mouse model colonized with Altered Schaedler Flora (ASF. Precision and recall of resulting gene expression, functional and taxonomic profiles were compared to those obtained with a standard alignment method. The validated pipeline was subsequently used to generate expression profiles from non-restricted cecal communities of four C57BL/6J mice fed on a high-fat high-protein diet spiked with an RNA-Seq data set from a well-characterized human sample. The spike in control was used to estimate precision and recall at assembly, functional and taxonomic level of non-restricted communities.A generic de novo assembly pipeline for metatranscriptome data analysis was designed for microbial ecosystems, which can be applied for microbial metatranscriptome analysis in any chosen niche.

  13. Identifying arsenic trioxide (ATO) functions in leukemia cells by using time series gene expression profiles.

    Science.gov (United States)

    Yang, Hong; Lin, Shan; Cui, Jingru

    2014-02-10

    Arsenic trioxide (ATO) is presently the most active single agent in the treatment of acute promyelocytic leukemia (APL). In order to explore the molecular mechanism of ATO in leukemia cells with time series, we adopted bioinformatics strategy to analyze expression changing patterns and changes in transcription regulation modules of time series genes filtered from Gene Expression Omnibus database (GSE24946). We totally screened out 1847 time series genes for subsequent analysis. The KEGG (Kyoto encyclopedia of genes and genomes) pathways enrichment analysis of these genes showed that oxidative phosphorylation and ribosome were the top 2 significantly enriched pathways. STEM software was employed to compare changing patterns of gene expression with assigned 50 expression patterns. We screened out 7 significantly enriched patterns and 4 tendency charts of time series genes. The result of Gene Ontology showed that functions of times series genes mainly distributed in profiles 41, 40, 39 and 38. Seven genes with positive regulation of cell adhesion function were enriched in profile 40, and presented the same first increased model then decreased model as profile 40. The transcription module analysis showed that they mainly involved in oxidative phosphorylation pathway and ribosome pathway. Overall, our data summarized the gene expression changes in ATO treated K562-r cell lines with time and suggested that time series genes mainly regulated cell adhesive. Furthermore, our result may provide theoretical basis of molecular biology in treating acute promyelocytic leukemia. Copyright © 2013 Elsevier B.V. All rights reserved.

  14. The Cinderella story of metabolic profiling: does metabolomics get to go to the functional genomics ball?

    Science.gov (United States)

    Griffin, Julian L

    2005-01-01

    To date most global approaches to functional genomics have centred on genomics, transcriptomics and proteomics. However, since a number of high-profile publications, interest in metabolomics, the global profiling of metabolites in a cell, tissue or organism, has been rapidly increasing. A range of analytical techniques, including 1H NMR spectroscopy, gas chromatography–mass spectrometry (GC–MS), liquid chromatography–mass spectrometry (LC–MS), Fourier Transform mass spectrometry (FT–MS), high performance liquid chromatography (HPLC) and electrochemical array (EC-array), are required in order to maximize the number of metabolites that can be identified in a matrix. Applications have included phenotyping of yeast, mice and plants, understanding drug toxicity in pharmaceutical drug safety assessment, monitoring tumour treatment regimes and disease diagnosis in human populations. These successes are likely to be built on as other analytical and bioinformatic approaches are developed to fully exploit the information obtained in metabolic profiles. To assist in this process, databases of metabolomic data will be necessary to allow the passage of information between laboratories. In this prospective review, the capabilities of metabolomics in the field of medicine will be assessed in an attempt to predict the impact this ‘Cinderella approach’ will have at the ‘functional genomic ball’. PMID:16553314

  15. Latent profile analysis in frontotemporal lobar degeneration and related disorders: clinical presentation and SPECT functional correlates

    Directory of Open Access Journals (Sweden)

    Di Luca Monica

    2007-05-01

    Full Text Available Abstract Background Frontotemporal Lobar Degeneration (FTLD thus recently renamed, refers to a spectrum of heterogeneous conditions. This same heterogeneity of presentation represents the major methodological limit for the correct evaluation of clinical designation and brain functional correlates. At present, no study has investigated clinical clusters due to specific cognitive and behavioural disturbances beyond current clinical criteria. The aim of this study was to identify clinical FTLD presentation, based on cognitive and behavioural profile, and to define their SPECT functional correlations. Methods Ninety-seven FTLD patients entered the study. A clinical evaluation and standardised assessment were preformed, as well as a brain SPECT perfusion imaging study. Latent Profile Analysis on clinical, neuropsychological, and behavioural data was performed. Voxel-basis analysis of SPECT data was computed. Results Three specific clusters were identified and named "pseudomanic behaviour" (LC1, "cognitive" (LC2, and "pseudodepressed behaviour" (LC3 endophenotypes. These endophenotypes showed a comparable hypoperfusion in left temporal lobe, but a specific pattern involving: medial and orbitobasal frontal cortex in LC1, subcortical brain region in LC2, and right dorsolateral frontal cortex and insula in LC3. Conclusion These findings provide evidence that specific functional-cluster symptom relationship can be delineated in FTLD patients by a standardised assessment. The understanding of the different functional correlates of clinical presentations will hopefully lead to the possibility of individuating diagnostic and treatment algorithms.

  16. Identification of Predictive Cis-Regulatory Elements Using a Discriminative Objective Function and a Dynamic Search Space.

    Directory of Open Access Journals (Sweden)

    Rahul Karnik

    Full Text Available The generation of genomic binding or accessibility data from massively parallel sequencing technologies such as ChIP-seq and DNase-seq continues to accelerate. Yet state-of-the-art computational approaches for the identification of DNA binding motifs often yield motifs of weak predictive power. Here we present a novel computational algorithm called MotifSpec, designed to find predictive motifs, in contrast to over-represented sequence elements. The key distinguishing feature of this algorithm is that it uses a dynamic search space and a learned threshold to find discriminative motifs in combination with the modeling of motifs using a full PWM (position weight matrix rather than k-mer words or regular expressions. We demonstrate that our approach finds motifs corresponding to known binding specificities in several mammalian ChIP-seq datasets, and that our PWMs classify the ChIP-seq signals with accuracy comparable to, or marginally better than motifs from the best existing algorithms. In other datasets, our algorithm identifies novel motifs where other methods fail. Finally, we apply this algorithm to detect motifs from expression datasets in C. elegans using a dynamic expression similarity metric rather than fixed expression clusters, and find novel predictive motifs.

  17. A New Look at Racial Profiling: Evidence from the Boston Police Department

    OpenAIRE

    Kate L. Antonovics; Brian G. Knight

    2004-01-01

    This paper provides new evidence on the role of preference-based versus statistical discrimination in racial profiling using a unique data set that includes the race of both the driver and the officer. We first generalize the model presented in Knowles, Persico and Todd (2001) and show that the fundamental insight that allows them to distinguish between statistical discrimination and preference-based discrimination depends on the specialized shapes of the best response functions in their mode...

  18. Adaptive Discriminant Function Analysis and Re-ranking of MS/MS Database Search Results for Improved Peptide Identification in Shotgun Proteomics

    Science.gov (United States)

    Ding, Ying; Choi, Hyungwon; Nesvizhskii, Alexey I.

    2013-01-01

    Robust statistical validation of peptide identifications obtained by tandem mass spectrometry and sequence database searching is an important task in shotgun proteomics. PeptideProphet is a commonly used computational tool that computes confidence measures for peptide identifications. In this paper, we investigate several limitations of the PeptideProphet modeling approach, including the use of fixed coefficients in computing the discriminant search score and selection of the top scoring peptide assignment per spectrum only. To address these limitations, we describe an adaptive method in which a new discriminant function is learned from the data in an iterative fashion. We extend the modeling framework to go beyond the top scoring peptide assignment per spectrum. We also investigate the effect of clustering the spectra according to their spectrum quality score followed by cluster-specific mixture modeling. The analysis is carried out using data acquired from a mixture of purified proteins on four different types of mass spectrometers, as well as using a complex human serum dataset. A special emphasis is placed on the analysis of data generated on high mass accuracy instruments. PMID:18788775

  19. Principal component and discriminant analyses as powerful tools to support taxonomic identification and their use for functional and phylogenetic signal detection of isolated fossil shark teeth.

    Directory of Open Access Journals (Sweden)

    Giuseppe Marramà

    Full Text Available Identifying isolated teeth of fossil selachians only based on qualitative characters is sometimes hindered by similarity in their morphology, resulting often in heated taxonomic debates. On the other hand, the use of quantitative characters (i.e. measurements has been often neglected or underestimated in characterization and identification of fossil teeth of selachians. Here we show that, employing a robust methodological protocol based on principal component and discriminant analyses on a sample of 175 isolated fossil teeth of lamniform sharks, the traditional morphometrics can be useful to support and complement the classic taxonomic identification made on qualitative features. Furthermore, we show that discriminant analysis can be successfully useful to assign indeterminate isolated shark teeth to a certain taxon. Finally, the degree of separation of the clusters might be used to predict functional and probably also phylogenetic signals in lamniform shark teeth. However, this needs to be tested in the future employing teeth of more extant and extinct lamniform sharks and it must be pointed out that this approach does not replace in any way the qualitative analysis, but it is intended to complement and support it.

  20. Development of a 3D Tissue Culture-Based High-Content Screening Platform That Uses Phenotypic Profiling to Discriminate Selective Inhibitors of Receptor Tyrosine Kinases.

    NARCIS (Netherlands)

    Booij, T.H.; Klop, M.J.; Yan, K.; Szántai-Kis, C.; Szokol, B.; Orfi, L .; Water, van de B.; Keri, G.; Price, L.S.

    2016-01-01

    3D tissue cultures provide a more physiologically relevant context for the screening of compounds, compared with 2D cell cultures. Cells cultured in 3D hydrogels also show complex phenotypes, increasing the scope for phenotypic profiling. Here we describe a high-content screening platform that uses

  1. Spatial discrimination deficits as a function of mnemonic interference in aged adults with and without memory impairment

    Science.gov (United States)

    Reagh, Zachariah M.; Roberts, Jared M.; Ly, Maria; DiProspero, Natalie; Murray, Elizabeth; Yassa, Michael A.

    2014-01-01

    It is well established that aging is associated with declines in episodic memory. In recent years, an emphasis has emerged on the development of behavioral tasks and the identification of biomarkers that are predictive of cognitive decline in healthy as well as pathological aging. Here, we describe a memory task designed to assess the accuracy of discrimination ability for the locations of objects. Object locations were initially encoded incidentally, and appeared in a single space against a 5x7 grid. During retrieval, subjects viewed repeated object-location pairings, displacements of 1, 2, 3, or 4 grid spaces, and maximal corner-to-opposite-corner displacements. Subjects were tasked with judging objects in this second viewing as having retained their original location, or having moved. Performance on a task such as this is thought to rely on the capacity of the individual to perform hippocampus-mediated pattern separation. We report a performance deficit associated with a physically healthy aged group compared to young adults specific to trials with low mnemonic interference. Additionally, for aged adults, performance on the task was correlated with performance on the delayed recall portion of the Rey Auditory Verbal Learning Test (RAVLT), a neuropsychological test sensitive to hippocampal dysfunction. In line with prior work, dividing the aged group into unimpaired and impaired subgroups based on RAVLT Delayed Recall scores yielded clearly distinguishable patterns of performance, with the former subgroup performing comparably to young adults, and the latter subgroup showing generally impaired memory performance even with minimal interference. This study builds on existing tasks used in the field, and contributes a novel paradigm for differentiation of healthy from possible pathological aging, and may thus provide an avenue for early detection of age-related cognitive decline. PMID:24167060

  2. Pattern recognition and functional neuroimaging help to discriminate healthy adolescents at risk for mood disorders from low risk adolescents.

    Directory of Open Access Journals (Sweden)

    Janaina Mourão-Miranda

    Full Text Available There are no known biological measures that accurately predict future development of psychiatric disorders in individual at-risk adolescents. We investigated whether machine learning and fMRI could help to: 1. differentiate healthy adolescents genetically at-risk for bipolar disorder and other Axis I psychiatric disorders from healthy adolescents at low risk of developing these disorders; 2. identify those healthy genetically at-risk adolescents who were most likely to develop future Axis I disorders.16 healthy offspring genetically at risk for bipolar disorder and other Axis I disorders by virtue of having a parent with bipolar disorder and 16 healthy, age- and gender-matched low-risk offspring of healthy parents with no history of psychiatric disorders (12-17 year-olds performed two emotional face gender-labeling tasks (happy/neutral; fearful/neutral during fMRI. We used Gaussian Process Classifiers (GPC, a machine learning approach that assigns a predictive probability of group membership to an individual person, to differentiate groups and to identify those at-risk adolescents most likely to develop future Axis I disorders.Using GPC, activity to neutral faces presented during the happy experiment accurately and significantly differentiated groups, achieving 75% accuracy (sensitivity = 75%, specificity = 75%. Furthermore, predictive probabilities were significantly higher for those at-risk adolescents who subsequently developed an Axis I disorder than for those at-risk adolescents remaining healthy at follow-up.We show that a combination of two promising techniques, machine learning and neuroimaging, not only discriminates healthy low-risk from healthy adolescents genetically at-risk for Axis I disorders, but may ultimately help to predict which at-risk adolescents subsequently develop these disorders.

  3. The Tactual Profile: Development of a procedure to assess the tactual functioning of children who are blind

    NARCIS (Netherlands)

    Withagen, A.J.; Vervloed, M.P.J.; Janssen, N.M.; Knoors, H.E.T.; Verhoeven, L.T.W.

    2009-01-01

    The Tactual Profile assesses tactual functioning of children with severe visual impairments between 0 and 16 years of age. The Tactual Profile consists of 430 items, measuring tactile skills required for performing everyday tasks at home and in school. Items are graded according to age level and

  4. The Tactual Profile: Development of a Procedure to Assess the Tactual Functioning of Children Who Are Blind

    Science.gov (United States)

    Withagen, Ans; Vervloed, Mathijs P. J.; Janssen, Neeltje M.; Knoors, Harry; Verhoeven, Ludo

    2009-01-01

    The Tactual Profile assesses tactual functioning of children with severe visual impairments between 0 and 16 years of age. The Tactual Profile consists of 430 items, measuring tactile skills required for performing everyday tasks at home and in school. Items are graded according to age level and divided into three domains: tactual sensory, tactual…

  5. Mammary fat of breast cancer: gene expression profiling and functional characterization.

    Directory of Open Access Journals (Sweden)

    Fengliang Wang

    Full Text Available Mammary fat is the main composition of breast, and is the most probable candidate to affect tumor behavior because the fat produces hormones, growth factors and adipokines, a heterogeneous group of signaling molecules. Gene expression profiling and functional characterization of mammary fat in Chinese women has not been reported. Thus, we collected the mammary fat tissues adjacent to breast tumors from 60 subjects, among which 30 subjects had breast cancer and 30 had benign lesions. We isolated and cultured the stromal vascular cell fraction from mammary fat. The expression of genes related to adipose function (including adipogenesis and secretion was detected at both the tissue and the cellular level. We also studied mammary fat browning. The results indicated that fat tissue close to malignant and benign lesions exhibited distinctive gene expression profiles and functional characteristics. Although the mammary fat of breast tumors atrophied, it secreted tumor growth stimulatory factors. Browning of mammary fat was observed and browning activity of fat close to malignant breast tumors was greater than that close to benign lesions. Understanding the diversity between these two fat depots may possibly help us improve our understanding of breast cancer pathogenesis and find the key to unlock new anticancer therapies.

  6. Comparative expression profiling reveals gene functions in female meiosis and gametophyte development in Arabidopsis.

    Science.gov (United States)

    Zhao, Lihua; He, Jiangman; Cai, Hanyang; Lin, Haiyan; Li, Yanqiang; Liu, Renyi; Yang, Zhenbiao; Qin, Yuan

    2014-11-01

    Megasporogenesis is essential for female fertility, and requires the accomplishment of meiosis and the formation of functional megaspores. The inaccessibility and low abundance of female meiocytes make it particularly difficult to elucidate the molecular basis underlying megasporogenesis. We used high-throughput tag-sequencing analysis to identify genes expressed in female meiocytes (FMs) by comparing gene expression profiles from wild-type ovules undergoing megasporogenesis with those from the spl mutant ovules, which lack megasporogenesis. A total of 862 genes were identified as FMs, with levels that are consistently reduced in spl ovules in two biological replicates. Fluorescence-assisted cell sorting followed by RNA-seq analysis of DMC1:GFP-labeled female meiocytes confirmed that 90% of the FMs are indeed detected in the female meiocyte protoplast profiling. We performed reverse genetic analysis of 120 candidate genes and identified four FM genes with a function in female meiosis progression in Arabidopsis. We further revealed that KLU, a putative cytochrome P450 monooxygenase, is involved in chromosome pairing during female meiosis, most likely by affecting the normal expression pattern of DMC1 in ovules during female meiosis. Our studies provide valuable information for functional genomic analyses of plant germline development as well as insights into meiosis. © 2014 The Authors The Plant Journal © 2014 John Wiley & Sons Ltd.

  7. Changes in Bacterial And Archaeal Community Structure And Functional Diversity Along a Geochemically Variable Soil Profile

    Energy Technology Data Exchange (ETDEWEB)

    Hansel, C.M.; Fendorf, S.; Jardine, P.M.; Francis, C.A.

    2009-05-18

    Spatial heterogeneity in physical, chemical, and biological properties of soils allows for the proliferation of diverse microbial communities. Factors influencing the structuring of microbial communities, including availability of nutrients and water, pH, and soil texture, can vary considerably with soil depth and within soil aggregates. Here we investigated changes in the microbial and functional communities within soil aggregates obtained along a soil profile spanning the surface, vadose zone, and saturated soil environments. The composition and diversity of microbial communities and specific functional groups involved in key pathways in the geochemical cycling of nitrogen, Fe, and sulfur were characterized using a coupled approach involving cultivation-independent analysis of both 16S rRNA (bacterial and archaeal) and functional genes (amoA and dsrAB) as well as cultivation-based analysis of Fe(III)-reducing organisms. Here we found that the microbial communities and putative ammonia-oxidizing and Fe(III)-reducing communities varied greatly along the soil profile, likely reflecting differences in carbon availability, water content, and pH. In particular, the Crenarchaeota 16S rRNA sequences are largely unique to each horizon, sharing a distribution and diversity similar to those of the putative (amoA-based) ammonia-oxidizing archaeal community. Anaerobic microenvironments within soil aggregates also appear to allow for both anaerobic- and aerobic-based metabolisms, further highlighting the complexity and spatial heterogeneity impacting microbial community structure and metabolic potential within soils.

  8. Directional pair distribution function for diffraction line profile analysis of atomistic models.

    Science.gov (United States)

    Leonardi, Alberto; Leoni, Matteo; Scardi, Paolo

    2013-02-01

    The concept of the directional pair distribution function is proposed to describe line broadening effects in powder patterns calculated from atomistic models of nano-polycrystalline microstructures. The approach provides at the same time a description of the size effect for domains of any shape and a detailed explanation of the strain effect caused by the local atomic displacement. The latter is discussed in terms of different strain types, also accounting for strain field anisotropy and grain boundary effects. The results can in addition be directly read in terms of traditional line profile analysis, such as that based on the Warren-Averbach method.

  9. Functional nutraceutical profiling of wild edible and medicinal mushrooms consumed by ethnic tribes in India.

    Science.gov (United States)

    Khaund, Polashree; Joshi, S R

    2015-01-01

    Wild edible mushrooms occupy an important place in the traditional food habits of the ethnic tribes of India. Specimens collected from the forests and local markets of Meghalaya, India were affiliated to ten different species. The mushroom extracts were analyzed for nutrient and mineral compositions along with phenolics, flavonoids, ascorbic acid, β-carotene, and lycopene. These extracts were also investigated for antioxidant, anti-inflammatory, and antimicrobial activities. Fungal extracts were found to be rich in nutrients and minerals, and exhibited potent antioxidant, anti-inflammatory, and antimicrobial activities under assay conditions. The nutrient profiles generated for each of these ten species revealed them to be rich sources of functional nutraceuticals.

  10. The solute specificity profiles of nucleobase cation symporter 1 (NCS1) from Zea mays and Setaria viridis illustrate functional flexibility.

    Science.gov (United States)

    Rapp, Micah; Schein, Jessica; Hunt, Kevin A; Nalam, Vamsi; Mourad, George S; Schultes, Neil P

    2016-03-01

    The solute specificity profiles (transport and binding) for the nucleobase cation symporter 1 (NCS1) proteins, from the closely related C4 grasses Zea mays and Setaria viridis, differ from that of Arabidopsis thaliana and Chlamydomonas reinhardtii NCS1. Solute specificity profiles for NCS1 from Z. mays (ZmNCS1) and S. viridis (SvNCS1) were determined through heterologous complementation studies in NCS1-deficient Saccharomyces cerevisiae strains. The four Viridiplantae NCS1 proteins transport the purines adenine and guanine, but unlike the dicot and algal NCS1, grass NCS1 proteins fail to transport the pyrimidine uracil. Despite the high level of amino acid sequence similarity, ZmNCS1 and SvNCS1 display distinct solute transport and recognition profiles. SvNCS1 transports adenine, guanine, hypoxanthine, cytosine, and allantoin and competitively binds xanthine and uric acid. ZmNCS1 transports adenine, guanine, and cytosine and competitively binds, 5-fluorocytosine, hypoxanthine, xanthine, and uric acid. The differences in grass NCS1 profiles are due to a limited number of amino acid alterations. These amino acid residues do not correspond to amino acids essential for overall solute and cation binding or solute transport, as previously identified in bacterial and fungal NCS1, but rather may represent residues involved in subtle solute discrimination. The data presented here reveal that within Viridiplantae, NCS1 proteins transport a broad range of nucleobase compounds and that the solute specificity profile varies with species.

  11. The application of fuzzy statistics and linear discriminant analysis as criteria for optimizing the preparation of plasma for matrix-assisted laser desorption/ionization mass spectrometry peptide profiling.

    Science.gov (United States)

    Hajduk, Joanna; Matysiak, Jan; Kokot, Piotr; Nowicki, Piotr; Dereziński, Paweł; Kokot, Zenon J

    2015-08-25

    An alternative bioinformatics approach based on fuzzy theory statistics and linear discriminant analysis is proposed for the interpretation of MALDI MS spectra in peptide profiling. When applied, the methodology enables the establishment of a reproducible plasma preparation protocol appropriate for the evaluation of small data sets. The samples were collected from pregnant women affected by gestational diabetes mellitus (GDM), n=18 and control group, n=13. The following pre-treatment sets were tested: pipette tips with C18 stationary phase (ZipTip, Millipore and Omix, Agilent) and magnetic bead-based weak cation exchange chromatography kit (MB WCX, Bruker Daltonics). The spectra were recorded using a MALDI TOF mass spectrometer (UltrafleXtreme, Bruker Daltonics) for a mass range of m/z from 1000 to 10,000. The significant features were selected using the wrapper selection method, and two classification systems were tested: discriminant analysis (DA) and fuzzy inference system (FIS). ClinProTools software was employed to compare the usefulness of the proposed methodology. The study showed that the optimum results for MS spectra were obtained after the use of the ZipTip as pre-treatment method in plasma preparation. Chemometric analysis allowed the differentiation of the GDM group from the control with a high degree of accuracy: 0.7333 (DA) and 0.8065 (FIS). Copyright © 2015. Published by Elsevier B.V.

  12. Effect of combined gliclazide/metformin treatment on oxidative stress, lipid profile, and hepatorenal functions in type 2 diabetic patients

    Directory of Open Access Journals (Sweden)

    Mansour Alsharidah

    2018-01-01

    Conclusion: Oxidative stress, lipids profile, and hepatorenal functions were not different in patients who were on combined metformin/gliclazide therapy and compared to those metformin alone. In contrast, glycemic control was poor in the diabetic patients undergoing combined therapy.

  13. Derivative-free neural network for optimizing the scoring functions associated with dynamic programming of pairwise-profile alignment.

    Science.gov (United States)

    Yamada, Kazunori D

    2018-01-01

    A profile-comparison method with position-specific scoring matrix (PSSM) is among the most accurate alignment methods. Currently, cosine similarity and correlation coefficients are used as scoring functions of dynamic programming to calculate similarity between PSSMs. However, it is unclear whether these functions are optimal for profile alignment methods. By definition, these functions cannot capture nonlinear relationships between profiles. Therefore, we attempted to discover a novel scoring function, which was more suitable for the profile-comparison method than existing functions, using neural networks. Although neural networks required derivative-of-cost functions, the problem being addressed in this study lacked them. Therefore, we implemented a novel derivative-free neural network by combining a conventional neural network with an evolutionary strategy optimization method used as a solver. Using this novel neural network system, we optimized the scoring function to align remote sequence pairs. Our results showed that the pairwise-profile aligner using the novel scoring function significantly improved both alignment sensitivity and precision relative to aligners using existing functions. We developed and implemented a novel derivative-free neural network and aligner (Nepal) for optimizing sequence alignments. Nepal improved alignment quality by adapting to remote sequence alignments and increasing the expressiveness of similarity scores. Additionally, this novel scoring function can be realized using a simple matrix operation and easily incorporated into other aligners. Moreover our scoring function could potentially improve the performance of homology detection and/or multiple-sequence alignment of remote homologous sequences. The goal of the study was to provide a novel scoring function for profile alignment method and develop a novel learning system capable of addressing derivative-free problems. Our system is capable of optimizing the performance of other

  14. Multimodal Discrimination of Schizophrenia Using Hybrid Weighted Feature Concatenation of Brain Functional Connectivity and Anatomical Features with an Extreme Learning Machine

    Science.gov (United States)

    Qureshi, Muhammad Naveed Iqbal; Oh, Jooyoung; Cho, Dongrae; Jo, Hang Joon; Lee, Boreom

    2017-01-01

    Multimodal features of structural and functional magnetic resonance imaging (MRI) of the human brain can assist in the diagnosis of schizophrenia. We performed a classification study on age, sex, and handedness-matched subjects. The dataset we used is publicly available from the Center for Biomedical Research Excellence (COBRE) and it consists of two groups: patients with schizophrenia and healthy controls. We performed an independent component analysis and calculated global averaged functional connectivity-based features from the resting-state functional MRI data for all the cortical and subcortical anatomical parcellation. Cortical thickness along with standard deviation, surface area, volume, curvature, white matter volume, and intensity measures from the cortical parcellation, as well as volume and intensity from sub-cortical parcellation and overall volume of cortex features were extracted from the structural MRI data. A novel hybrid weighted feature concatenation method was used to acquire maximal 99.29% (P extreme learning machine, and its efficiency was compared to linear and non-linear (radial basis function) support vector machines, linear discriminant analysis, and random forest bagged tree ensemble algorithms. This article reports the predictive accuracy of both unimodal and multimodal features after 10-by-10-fold nested cross-validation. A permutation test followed the classification experiment to assess the statistical significance of the classification results. It was concluded that, from a clinical perspective, this feature concatenation approach may assist the clinicians in schizophrenia diagnosis. PMID:28943848

  15. Multimodal Discrimination of Schizophrenia Using Hybrid Weighted Feature Concatenation of Brain Functional Connectivity and Anatomical Features with an Extreme Learning Machine.

    Science.gov (United States)

    Qureshi, Muhammad Naveed Iqbal; Oh, Jooyoung; Cho, Dongrae; Jo, Hang Joon; Lee, Boreom

    2017-01-01

    Multimodal features of structural and functional magnetic resonance imaging (MRI) of the human brain can assist in the diagnosis of schizophrenia. We performed a classification study on age, sex, and handedness-matched subjects. The dataset we used is publicly available from the Center for Biomedical Research Excellence (COBRE) and it consists of two groups: patients with schizophrenia and healthy controls. We performed an independent component analysis and calculated global averaged functional connectivity-based features from the resting-state functional MRI data for all the cortical and subcortical anatomical parcellation. Cortical thickness along with standard deviation, surface area, volume, curvature, white matter volume, and intensity measures from the cortical parcellation, as well as volume and intensity from sub-cortical parcellation and overall volume of cortex features were extracted from the structural MRI data. A novel hybrid weighted feature concatenation method was used to acquire maximal 99.29% (P extreme learning machine, and its efficiency was compared to linear and non-linear (radial basis function) support vector machines, linear discriminant analysis, and random forest bagged tree ensemble algorithms. This article reports the predictive accuracy of both unimodal and multimodal features after 10-by-10-fold nested cross-validation. A permutation test followed the classification experiment to assess the statistical significance of the classification results. It was concluded that, from a clinical perspective, this feature concatenation approach may assist the clinicians in schizophrenia diagnosis.

  16. Examining the effectiveness of discriminant function analysis and cluster analysis in species identification of male field crickets based on their calling songs.

    Science.gov (United States)

    Jaiswara, Ranjana; Nandi, Diptarup; Balakrishnan, Rohini

    2013-01-01

    Traditional taxonomy based on morphology has often failed in accurate species identification owing to the occurrence of cryptic species, which are reproductively isolated but morphologically identical. Molecular data have thus been used to complement morphology in species identification. The sexual advertisement calls in several groups of acoustically communicating animals are species-specific and can thus complement molecular data as non-invasive tools for identification. Several statistical tools and automated identifier algorithms have been used to investigate the efficiency of acoustic signals in species identification. Despite a plethora of such methods, there is a general lack of knowledge regarding the appropriate usage of these methods in specific taxa. In this study, we investigated the performance of two commonly used statistical methods, discriminant function analysis (DFA) and cluster analysis, in identification and classification based on acoustic signals of field cricket species belonging to the subfamily Gryllinae. Using a comparative approach we evaluated the optimal number of species and calling song characteristics for both the methods that lead to most accurate classification and identification. The accuracy of classification using DFA was high and was not affected by the number of taxa used. However, a constraint in using discriminant function analysis is the need for a priori classification of songs. Accuracy of classification using cluster analysis, which does not require a priori knowledge, was maximum for 6-7 taxa and decreased significantly when more than ten taxa were analysed together. We also investigated the efficacy of two novel derived acoustic features in improving the accuracy of identification. Our results show that DFA is a reliable statistical tool for species identification using acoustic signals. Our results also show that cluster analysis of acoustic signals in crickets works effectively for species classification and

  17. Examining the effectiveness of discriminant function analysis and cluster analysis in species identification of male field crickets based on their calling songs.

    Directory of Open Access Journals (Sweden)

    Ranjana Jaiswara

    Full Text Available Traditional taxonomy based on morphology has often failed in accurate species identification owing to the occurrence of cryptic species, which are reproductively isolated but morphologically identical. Molecular data have thus been used to complement morphology in species identification. The sexual advertisement calls in several groups of acoustically communicating animals are species-specific and can thus complement molecular data as non-invasive tools for identification. Several statistical tools and automated identifier algorithms have been used to investigate the efficiency of acoustic signals in species identification. Despite a plethora of such methods, there is a general lack of knowledge regarding the appropriate usage of these methods in specific taxa. In this study, we investigated the performance of two commonly used statistical methods, discriminant function analysis (DFA and cluster analysis, in identification and classification based on acoustic signals of field cricket species belonging to the subfamily Gryllinae. Using a comparative approach we evaluated the optimal number of species and calling song characteristics for both the methods that lead to most accurate classification and identification. The accuracy of classification using DFA was high and was not affected by the number of taxa used. However, a constraint in using discriminant function analysis is the need for a priori classification of songs. Accuracy of classification using cluster analysis, which does not require a priori knowledge, was maximum for 6-7 taxa and decreased significantly when more than ten taxa were analysed together. We also investigated the efficacy of two novel derived acoustic features in improving the accuracy of identification. Our results show that DFA is a reliable statistical tool for species identification using acoustic signals. Our results also show that cluster analysis of acoustic signals in crickets works effectively for species

  18. Comparison of red cell distribution width and a red cell discriminant function incorporating volume dispersion for distinguishing iron deficiency from beta thalassemia trait in patients with microcytosis

    Directory of Open Access Journals (Sweden)

    Carmen Silvia Passos Lima

    Full Text Available The red cell distribution width (RDW, and another red cell discriminant function incorporating RDW (MCV² x RDW/Hgb x 100 were determined in a group of 30 patients with iron deficiency anemia, 30 patients with beta thalassemia trait, and 30 normal subjects. Both RDW and (MCV² x RDW/Hgb x 100 mean values were significantly higher in iron deficiency anemia than in beta thalassemia trait (p<0.001. Taking RDW equal or above 21.0 percent among microcytic anemia patients, we identified correctly 90.0 percent of patients with iron deficiency anemia. The sensitivity and specificity of the test were 90.0 percent (IC 95 percent: 0.75 - 0.96 and 77.0 percent (IC 95 percent: 0.60 - 0.88, respectively. RDW values below 21.0 percent identified correctly 77.0 percent of beta thalassemia trait with a sensitivity and a specificity of 77.0 percent (IC 95 percent: 0.60 - 0.88 and 90.0 percent (IC 95 percent: 0.75 - 0.96, respectively. Taking values of (MCV² x RDW/Hgb x 100 above and below 80.0 percent as indicative of iron deficiency and beta thalassemia trait, respectively, we identified correctly 97.0 percent of those patients in each group. Both sensitivity and specificity were 97.0 percent (IC 95 percent: 0.84 - 0.99. These results indicated that the red cell discriminant function incorporating volume dispersion (MCV² x RDW/Hgb x 100 is a highly sensitive and specific method in the initial screening of patients with microcytic anemia and is better than RDW in differentiating iron deficiency anemia from beta thalassemia trait.

  19. Examining the Effectiveness of Discriminant Function Analysis and Cluster Analysis in Species Identification of Male Field Crickets Based on Their Calling Songs

    Science.gov (United States)

    Jaiswara, Ranjana; Nandi, Diptarup; Balakrishnan, Rohini

    2013-01-01

    Traditional taxonomy based on morphology has often failed in accurate species identification owing to the occurrence of cryptic species, which are reproductively isolated but morphologically identical. Molecular data have thus been used to complement morphology in species identification. The sexual advertisement calls in several groups of acoustically communicating animals are species-specific and can thus complement molecular data as non-invasive tools for identification. Several statistical tools and automated identifier algorithms have been used to investigate the efficiency of acoustic signals in species identification. Despite a plethora of such methods, there is a general lack of knowledge regarding the appropriate usage of these methods in specific taxa. In this study, we investigated the performance of two commonly used statistical methods, discriminant function analysis (DFA) and cluster analysis, in identification and classification based on acoustic signals of field cricket species belonging to the subfamily Gryllinae. Using a comparative approach we evaluated the optimal number of species and calling song characteristics for both the methods that lead to most accurate classification and identification. The accuracy of classification using DFA was high and was not affected by the number of taxa used. However, a constraint in using discriminant function analysis is the need for a priori classification of songs. Accuracy of classification using cluster analysis, which does not require a priori knowledge, was maximum for 6–7 taxa and decreased significantly when more than ten taxa were analysed together. We also investigated the efficacy of two novel derived acoustic features in improving the accuracy of identification. Our results show that DFA is a reliable statistical tool for species identification using acoustic signals. Our results also show that cluster analysis of acoustic signals in crickets works effectively for species classification and

  20. PROFILE PD: profile of function and impairment level experience with Parkinson disease--clinimetric properties of a rating scale for physical therapist practice.

    Science.gov (United States)

    Schenkman, Margaret; McFann, Kimberly; Barón, Anna E

    2010-12-01

    Individuals with Parkinson disease (PD) experience a range of deficits of body systems and activities. A clinical test is needed that is reliable, valid, applicable to physical therapist practice, and appropriate for use in early and mid-stages of the disease. PROFILE PD is one such scale, consisting of 24 items that would typically be assessed during the physical therapist's examination and evaluation of individuals with PD. The purpose of this article is to report on clinimetric properties of the PROFILE PD and to make the test available for use. Interrater reliability was determined using the intraclass correlation coefficient. Construct validity was determined by comparing scores on the PROFILE PD with the gold standard (Unified Parkinson's Disease Rating Scale [UPDRS]) as well as scales of physical activity and participation. Construct validity and structure of the PROFILE PD were further examined using exploratory factor analysis using principal component analysis with Promax rotation that allows a correlated factor structure. Interrater reliability of the PROFILE PD was high (ICC = 0.97). Construct validity was demonstrated with the UPDRS (r = 0.86, P Physical Functional Performance test (r = -0.62, P < 0.0001). Principal component analysis demonstrated that the test comprises a single scale. The PROFILE PD is a reliable and valid scale that can be used to quantify alterations in body systems and activity of individuals in early and mid-stages of PD. Use of the scale can provide an overall summary of the impact of PD on body systems and activities.

  1. [Spinal form and function profile: reference values for clinical use in low back pain].

    Science.gov (United States)

    Schröder, J; Braumann, K M; Reer, R

    2014-09-01

    Functional diagnostic approaches are helpful in the treatment of low back pain (LBP) patients. Reference data of asymptomatic individuals might be helpful to understand individual case profiles of LBP patients, to derive movement therapy goals and issues and to improve quality management in therapy monitoring. Spinal form and mobility in the dorsal flexion (static and dynamic rasterstereography), as well as isometric peak forces (back extension/trunk flexion) were analyzed in a cross-sectional study of 103 pain-free volunteers (52 females, 51 males) aged 18-40 years. Reference data could be demonstrated based on percentiles (5-95 %). There were significant differences between males and females for strength values and spinal form parameters describing the lumbosacral transition (p < 0.001), but not for the strength extension/flexion ratio (Ex/Flex), lumbar mobility (dorsiflexion) or any other spine shape parameter. Despite the problem of a normal spinal alignment it is proposed to use reference data percentiles of asymptomatic persons to construct a musculoskeletal functional profile for individual LBP patients, which might emphasize the character of different LBP disorders and could be useful in screening, therapy planning and monitoring.

  2. Muscle function and body composition profile in adolescents with restrictive anorexia nervosa: does resistance training help?

    Science.gov (United States)

    Fernández-del-Valle, Maria; Larumbe-Zabala, Eneko; Morande-Lavin, Gonzalo; Perez Ruiz, Margarita

    2016-01-01

    The aim of this study was to analyze the effects of short-term resistance training on the body composition profile and muscle function in a group of Anorexia Nervosa restricting type (AN-R) patients. The sample consisted of AN-R female adolescents (12.8 ± 0.6 years) allocated into the control and intervention groups (n = 18 each). Body composition and relative strength were assessed at baseline, after 8 weeks and 4 weeks following the intervention. Body mass index (BMI) increased throughout the study (p = 0.011). Significant skeletal muscle mass (SMM) gains were found in the intervention group (p = 0.045, d = 0.6) that correlated to the change in BMI (r = 0.51, p mass (FM) gains were significant in the control group (p = 0.047, d = 0.6) and correlated (r > 0.60) with change in BMI in both the groups. Significant relative strength increases (p gain is linked to an increased relative strength when resistance training is prescribed. Although FM, relative body fat (%BF), BMI and body weight (BW) are used to monitor nutritional progress. Based on our results, we suggest to monitor SMM and relative strength ratios for a better estimation of body composition profile and muscle function recovery. Implications for Rehabilitation Anorexia Nervosa Restricting Type (AN-R) AN-R is a psychiatric disorder that has a major impact on muscle mass content and function. However, little or no attention has been paid to muscle recovery. High intensity resistance training is safe for AN-R after hospitalization and enhances the force generating capacity as well as muscle mass gains. Skeletal muscle mass content and muscular function improvements are partially maintained for a short period of time when the exercise program ceases.

  3. Bilingual Advantages in Executive Functioning: Problems in Convergent Validity, Discriminant Validity, and the Identification of the Theoretical Constructs

    Directory of Open Access Journals (Sweden)

    Kenneth R. Paap

    2014-09-01

    Full Text Available A sample of 58 bilingual and 62 monolingual university students completed four tasks commonly used to test for bilingual advantages in executive functioning (EF: antisaccade, flanker, Simon, and color-shape switching. Across the four tasks, 13 different indices were derived that are assumed to reflect individual differences in inhibitory control, monitoring, or switching. The effects of bilingualism on the 13 measures were explored by directly comparing the means of the two language groups and through regression analyses using a continuous measure of bilingualism and multiple demographic characteristics as predictors. Across the 13 different measures and two types of data analysis there were very few significant results and those that did occur supported a monolingual advantage. An equally important goal was to assess the convergent validity through cross-task correlations of indices assume to measure the same component of executive functioning. Most of the correlations using difference-score measures were nonsignificant and many near zero. Although modestly higher levels of convergent validity are sometimes reported, a review of the existing literature suggests that bilingual advantages (or disadvantages may reflect task-specific differences that are unlikely to generalize to important general differences in EF. Finally, as cautioned by Salthouse, assumed measures of executive functioning may also be threatened by a lack of divergent validity that separates individual or group differences in EF from those in general fluid intelligence or simple processing speed.

  4. Automatic assignment of prokaryotic genes to functional categories using literature profiling.

    Directory of Open Access Journals (Sweden)

    Raul Torrieri

    Full Text Available In the last years, there was an exponential increase in the number of publicly available genomes. Once finished, most genome projects lack financial support to review annotations. A few of these gene annotations are based on a combination of bioinformatics evidence, however, in most cases, annotations are based solely on sequence similarity to a previously known gene, which was most probably annotated in the same way. As a result, a large number of predicted genes remain unassigned to any functional category despite the fact that there is enough evidence in the literature to predict their function. We developed a classifier trained with term-frequency vectors automatically disclosed from text corpora of an ensemble of genes representative of each functional category of the J. Craig Venter Institute Comprehensive Microbial Resource (JCVI-CMR ontology. The classifier achieved up to 84% precision with 68% recall (for confidence≥0.4, F-measure 0.76 (recall and precision equally weighted in an independent set of 2,220 genes, from 13 bacterial species, previously classified by JCVI-CMR into unambiguous categories of its ontology. Finally, the classifier assigned (confidence≥0.7 to functional categories a total of 5,235 out of the ∼24 thousand genes previously in categories "Unknown function" or "Unclassified" for which there is literature in MEDLINE. Two biologists reviewed the literature of 100 of these genes, randomly picket, and assigned them to the same functional categories predicted by the automatic classifier. Our results confirmed the hypothesis that it is possible to confidently assign genes of a real world repository to functional categories, based exclusively on the automatic profiling of its associated literature. The LitProf--Gene Classifier web server is accessible at: www.cebio.org/litprofGC.

  5. Changes in soft tissue profile using functional appliances in the treatment of skeletal class II malocclusion

    Directory of Open Access Journals (Sweden)

    Stamenković Zorana

    2015-01-01

    Full Text Available Introduction. The effects of orthodontic treatment are considered to be successful if the facial harmony is achieved, while the structures of soft tissue profile are in harmony with skeletal structures of neurocranium and viscerocranium. In patients with skeletal distal bite caused by mandibular retrognathism, facial esthetics is disturbed often, in terms of pronounced convexity of the profile and change in the position and relationship of the lips. Objective. The aim of this study was to determine the extent of soft tissue profile changes in patients with skeletal Class II malocclusion treated with three different orthodontic appliances: Fränkel functional regulator type I (FR-I, Balters’ Bionator type I and Hotz appliance. Methods. The study included 60 patients diagnosed with skeletal Class II malocclusion caused by mandibular retrognathism, in the period of early mixed dentition. Each subgroup of 20 patients was treated with a variety of orthodontic appliances. On the lateral cephalogram, before and after treatment, the following parameters were analyzed: T angle, H angle, the height of the upper lip, the position of the upper and lower lip in relation to the esthetic line. Within the statistical analysis the mean, maximum, minimum, standard deviation, coefficient of variation, two-factor analysis of variance with repeated measures and the factor analysis of variance were calculated using ANOVA, Bonferroni test and Student’s t-test. Results. A significant decrease of angles T and H was noticed in the application of FR-I, from 21.60° to 17.15°, and from 16.45° to 13.40° (p<0.001. FR-I decreased the height of the upper lip from 26.15 mm to 25.85 mm, while Hotz appliance and Balters’ Bionator type I increased the height of the upper lip, thereby deteriorating esthetics of the patient. Conclusion. All used orthodontic appliances lead to changes in soft tissue profile in terms of improving facial esthetics, with the most distinctive

  6. A methodology to assess the intrinsic discriminative ability of a distance function and its interplay with clustering algorithms for microarray data analysis.

    Science.gov (United States)

    Giancarlo, Raffaele; Lo Bosco, Giosué; Pinello, Luca; Utro, Filippo

    2013-01-01

    Clustering is one of the most well known activities in scientific investigation and the object of research in many disciplines, ranging from statistics to computer science. Following Handl et al., it can be summarized as a three step process: (1) choice of a distance function; (2) choice of a clustering algorithm; (3) choice of a validation method. Although such a purist approach to clustering is hardly seen in many areas of science, genomic data require that level of attention, if inferences made from cluster analysis have to be of some relevance to biomedical research. A procedure is proposed for the assessment of the discriminative ability of a distance function. That is, the evaluation of the ability of a distance function to capture structure in a dataset. It is based on the introduction of a new external validation index, referred to as Balanced Misclassification Index (BMI, for short) and of a nontrivial modification of the well known Receiver Operating Curve (ROC, for short), which we refer to as Corrected ROC (CROC, for short). The main results are: (a) a quantitative and qualitative method to describe the intrinsic separation ability of a distance; (b) a quantitative method to assess the performance of a clustering algorithm in conjunction with the intrinsic separation ability of a distance function. The proposed procedure is more informative than the ones available in the literature due to the adopted tools. Indeed, the first one allows to map distances and clustering solutions as graphical objects on a plane, and gives information about the bias of the clustering algorithm with respect to a distance. The second tool is a new external validity index which shows similar performances with respect to the state of the art, but with more flexibility, allowing for a broader spectrum of applications. In fact, it allows not only to quantify the merit of each clustering solution but also to quantify the agglomerative or divisive errors due to the algorithm. The

  7. Socio-economic and demographic profile of traditional and functional food consumers in Serbia

    Directory of Open Access Journals (Sweden)

    Stojanović Žaklina

    2012-01-01

    Full Text Available Consumer quantitative survey was performed on general population 18+ in Serbia at the end of September - begging of October 2010. The instrument used in this survey was a structured questionnaire. The stratified three-staged random representative sample is applied (N=516. Based on reported frequency of consumption two groups of consumers were identified: (1 conservative consumers who reported high level of traditional food consumption and simultaneously lower level of functional food consumption (NT=196; (2 innovators represented by the heavy functional food consumers who reported lower level of traditional food consumption (NF=60. A descriptive statistical analysis (parametric and nonparametric was conducted with the aim to investigate all statistically significant differences between two consumers' group profiles. The so-called conservative consumers dominate over heavy functional food consumer group in our sample. The heavy traditional food consumers are older on average and more unemployed (as retired people are considered as unemployed and exposed to social influences. 'Traditional food' in Serbia is perceived as home-made, tasty and healthy, with long heritage. Differences in age and education between two compared consumers groups indicate possible transition of diet pattern toward more frequent functional food consumption.

  8. Effect of bioaugmentation and biostimulation on sulfate-reducing column startup captured by functional gene profiling.

    Science.gov (United States)

    Pereyra, Luciana P; Hiibel, Sage R; Perrault, Elizabeth M; Reardon, Kenneth F; Pruden, Amy

    2012-10-01

    Sulfate-reducing permeable reactive zones (SR-PRZs) depend upon a complex microbial community to utilize a lignocellulosic substrate and produce sulfides, which remediate mine drainage by binding heavy metals. To gain insight into the impact of the microbial community composition on the startup time and pseudo-steady-state performance, functional genes corresponding to cellulose-degrading (CD), fermentative, sulfate-reducing, and methanogenic microorganisms were characterized in columns simulating SR-PRZs using quantitative polymerase chain reaction (qPCR) and denaturing gradient gel electrophoresis (DGGE). Duplicate columns were bioaugmented with sulfate-reducing or CD bacteria or biostimulated with ethanol or carboxymethyl cellulose and compared with baseline dairy manure inoculum and uninoculated controls. Sulfate removal began after ~ 15 days for all columns and pseudo-steady state was achieved by Day 30. Despite similar performance, DGGE profiles of 16S rRNA gene and functional genes at pseudo-steady state were distinct among the column treatments, suggesting the potential to control ultimate microbial community composition via bioaugmentation and biostimulation. qPCR revealed enrichment of functional genes in all columns between the initial and pseudo-steady-state time points. This is the first functional gene-based study of CD, fermentative and sulfate-reducing bacteria and methanogenic archaea in a lignocellulose-based environment and provides new qualitative and quantitative insight into startup of a complex microbial system. © 2012 Federation of European Microbiological Societies. Published by Blackwell Publishing Ltd. All rights reserved.

  9. Quality Characteristics, Nutraceutical Profile, and Storage Stability of Aloe Gel-Papaya Functional Beverage Blend

    Directory of Open Access Journals (Sweden)

    Pushkala Ramachandran

    2014-01-01

    Full Text Available Aloe vera gel, well known for its nutraceutical potential, is being explored as a functional ingredient in a wide array of health foods and drinks. Processing of exotic fruits and herbal botanicals into functional beverage is an emerging sector in food industry. The present study was undertaken to develop a spiced functional RTS beverage blend using Aloe gel (AG and papaya. Aloe gel (30%, papaya pulp (15%, spice extract (5%, and citric acid (0.1% were mixed in given proportion to prepare the blend with TSS of 15 °Brix. The product was bottled, pasteurized, and stored at room temperature. The quality characteristics and storage stability of the spiced beverage blend (SAGPB were compared with spiced papaya RTS beverage (SPB. Periodic analysis was carried out up to five months for various physicochemical parameters, sugar profile, bioactive compounds, microbial quality, instrumental color, and sensory acceptability. The SAGPB exhibited superior quality characteristics compared to SPB both in fresh and in stored samples. The SPB was acceptable up to four months and SAGPB for five months. The results indicate that nutraceutical rich AG could be successfully utilized to develop functional fruit beverages with improved quality and shelf life.

  10. Profiles of Biomarkers of Excess Alcohol Consumption in Patients Undergoing Total Hip Replacement: Correlation with Function

    Directory of Open Access Journals (Sweden)

    Paul J. Jenkins

    2011-01-01

    Full Text Available Aims. Patients who misuse alcohol may be at increased risk of surgical complications and poorer function following hip replacement. Identification and intervention may lead to harm reduction and improve the outcomes of surgery. The aim of this study was to determine the prevalence of biomarker elevation in patients undergoing hip replacement and to investigate any correlation with functional scores and complications. Methods. We performed a retrospective study that examined the profile of biomarkers of alcohol misuse in 1049 patients undergoing hip replacement. Results. Gamma-glutamyltransferase was elevated in 150 (17.6%, and mean corpuscular volume was elevated in 23 (4%. At one year general physical health was poorer where there was elevation of γGT, and the mental health and hip function was poorer with elevation of MCV. There were no differences in complications. Discussion. Raised biomarkers can alert clinicians to potential problems. They also provide an opportunity to perform further investigation and offer intervention. Future research should focus on the use in orthopaedic practice of validated screening questionnaires and more sensitive biomarkers of alcohol misuse. Conclusion. This study demonstrates a potential substantial proportion of unrecognised alcohol misuse that is associated with poorer functional scores in patients after total hip replacement.

  11. The institutionalized elderly: sociodemographic and clinical-functional profiles related to dizziness.

    Science.gov (United States)

    Rosa, Tábada Samantha Marques; Moraes, Anaelena Bragança de; Santos Filha, Valdete Alves Valentins dos

    2016-01-01

    Dizziness is among the most common complaints in the elderly population. To determine the sociodemographic and clinical-functional profiles of institutionalized elderly people related to dizziness. Cross-sectional prospective study with institutionalized elderly people aged 60 or more years. A questionnaire on sociodemographic and clinical-functional characteristics was applied, and an anamnesis of occurrence of dizziness was held, as well as the Dizziness Handicap Inventory questionnaire. 48.9% of the elderly subjects had dizziness. The mean numbers of diseases and medications associated with dizziness were, respectively, 4.5 diseases and 7.8 medications. We found a significant association between the occurrence of dizziness and diseases of the musculoskeletal system, sub-connective tissue and genitourinary system, as well as the use of medications for the musculoskeletal system. The scores for handicap degree in functional DHI were significantly higher among elderly subjects who needed walking aids, who had suffered falls, and those manifesting anxiety. Our sample included subjects of advanced age, primarily women, who were institutionalized less than five years, with multiple diseases and polypharmacy users. They presented long-standing short-duration mixed dizziness, that occurred more than once a month and affected mainly the functional aspect. Copyright © 2015 Associação Brasileira de Otorrinolaringologia e Cirurgia Cérvico-Facial. Published by Elsevier Editora Ltda. All rights reserved.

  12. Transcriptional profiling reveals functional dichotomy between human slan+ non-classical monocytes and myeloid dendritic cells.

    Science.gov (United States)

    van Leeuwen-Kerkhoff, Nathalie; Lundberg, Kristina; Westers, Theresia M; Kordasti, Shahram; Bontkes, Hetty J; de Gruijl, Tanja D; Lindstedt, Malin; van de Loosdrecht, Arjan A

    2017-10-01

    Human 6-sulfo LacNac-positive (slan+) cells have been subject to a paradigm debate. They have previously been classified as a distinct dendritic cell (DC) subset. However, evidence has emerged that they may be more related to monocytes than to DCs. To gain deeper insight into the functional specialization of slan+ cells, we have compared them with both conventional myeloid DC subsets (CD1c+ and CD141+) in human peripheral blood (PB). With the use of genome-wide transcriptional profiling, as well as functional tests, we clearly show that slan+ cells form a distinct, non-DC-like population. They cluster away from both DC subsets, and their gene-expression profile evidently suggests involvement in distinct inflammatory processes. An extensive transcriptional meta-analysis confirmed the relationship of slan+ cells with the monocytic compartment rather than with DCs. From a functional perspective, their ability to prime CD4+ and CD8+ T cells is relatively low. Combined with the finding that "antigen presentation by MHC class II" is at the top of under-represented pathways in slan+ cells, this points to a minimal role in directing adaptive T cell immunity. Rather, the higher expression levels of complement receptors on their cell surface, together with their high secretion of IL-1β and IL-6, imply a specific role in innate inflammatory processes, which is consistent with their recent identification as non-classical monocytes. This study extends our knowledge on DC/monocyte subset biology under steady-state conditions and contributes to our understanding of their role in immune-mediated diseases and their potential use in immunotherapeutic strategies. © Society for Leukocyte Biology.

  13. Detection of discriminative sequence patterns in the neighborhood of proline cis peptide bonds and their functional annotation

    Directory of Open Access Journals (Sweden)

    Papaloukas Costas

    2009-04-01

    Full Text Available Abstract Background Polypeptides are composed of amino acids covalently bonded via a peptide bond. The majority of peptide bonds in proteins is found to occur in the trans conformation. In spite of their infrequent occurrence, cis peptide bonds play a key role in the protein structure and function, as well as in many significant biological processes. Results We perform a systematic analysis of regions in protein sequences that contain a proline cis peptide bond in order to discover non-random associations between the primary sequence and the nature of proline cis/trans isomerization. For this purpose an efficient pattern discovery algorithm is employed which discovers regular expression-type patterns that are overrepresented (i.e. appear frequently repeated in a set of sequences. Four types of pattern discovery are performed: i exact pattern discovery, ii pattern discovery using a chemical equivalency set, iii pattern discovery using a structural equivalency set and iv pattern discovery using certain amino acids' physicochemical properties. The extracted patterns are carefully validated using a specially implemented scoring function and a significance measure (i.e. log-probability estimate indicative of their specificity. The score threshold for the first three types of pattern discovery is 0.90 while for the last type of pattern discovery 0.80. Regarding the significance measure, all patterns yielded values in the range [-9, -31] which ensure that the derived patterns are highly unlikely to have emerged by chance. Among the highest scoring patterns, most of them are consistent with previous investigations concerning the neighborhood of cis proline peptide bonds, and many new ones are identified. Finally, the extracted patterns are systematically compared against the PROSITE database, in order to gain insight into the functional implications of cis prolyl bonds. Conclusion Cis patterns with matches in the PROSITE database fell mostly into two

  14. Penalized linear discriminant analysis and Discrete AdaBoost to distinguish human hair metal profiles: The case of adolescents residing near Mt. Etna.

    Science.gov (United States)

    Abbruzzo, A; Tamburo, E; Varrica, D; Dongarrà, G; Mineo, A

    2016-06-01

    The research focus of the present paper was twofold. First, we tried to document that human intake of trace elements is influenced by geological factors of the place of residence. Second, we showed that the elemental composition of human hair is a useful screening tool for assessing people's exposure to potentially toxic substances. For this purpose, we used samples of human hair from adolescents and applied two robust statistical approaches. Samples from two distinct geological and environmental sites were collected: the first one was characterized by the presence of the active volcano Mt. Etna (ETNA group) and the second one lithologically made up of sedimentary rocks (SIC group). Chemical data were statistically processed by Penalized Linear Discriminant Analysis (pLDA) and Discrete AdaBoost (DAB). The separation between the two groups turned out well, with few overlaps accounting for less than 5%. The chemical variables that better distinguished ETNA group from SIC group were As, Cd, Co, Li, Mo, Rb, Sr, U and V. Both pLDA and DAB allowed us to characterize the elements most closely related to the volcanic contribution (As, U and V) and those (Cd, Co, Li, Mo, Rb and Sr) prevalently influenced by the geology of the area where SIC samples were collected. We conclude that the geological characteristics of the area of residence constitute a key factor in influencing the potential exposure to trace elements. Hair analysis coupled with robust statistical methods can be effectively used as a screening procedure to identify areas at great environmental risk. Copyright © 2016 Elsevier Ltd. All rights reserved.

  15. Concentration profiling of minerals in iliac crest bone tissue of opium addicted humans using inductively coupled plasma and discriminant analysis techniques.

    Science.gov (United States)

    Mani-Varnosfaderani, Ahmad; Jamshidi, Mahbobeh; Yeganeh, Ali; Mahmoudi, Mani

    2016-02-20

    Opium addiction is one of the main health problems in developing countries and induces serious defects on the human body. In this work, the concentrations of 32 minerals including alkaline, heavy and toxic metals have been determined in the iliac crest bone tissue of 22 opium addicted individuals using inductively coupled plasma-optical emission spectroscopy (ICP-OES). The bone tissues of 30 humans with no physiological and metabolomic diseases were used as the control group. For subsequent analyses, the linear and quadratic discriminant analysis techniques have been used for classification of the data into "addicted" and "non-addicted" groups. Moreover, the counter-propagation artificial neural network (CPANN) has been used for clustering of the data. The results revealed that the CPANN is a robust model and thoroughly classifies the data. The area under the curve for the receiver operating characteristic curve for this model was more than 0.91. Investigation of the results revealed that the opium consumption causes a deficiency in the level of Calcium, Phosphate, Potassium and Sodium in iliac crest bone tissue. Moreover, this type of addiction induces an increment in the level of toxic and heavy metals such as Co, Cr, Mo and Ni in iliac crest tissue. The correlation analysis revealed that there were no significant dependencies between the age of the samples and the mineral content of their iliac crest, in this study. The results of this work suggest that the opium addicted individuals need thorough and restricted dietary and medical care programs after recovery phases, in order to have healthy bones. Copyright © 2015 Elsevier B.V. All rights reserved.

  16. Clinico-electrophysiological profile and predictors of functional outcome in Guillain-Barre syndrome (GBS).

    Science.gov (United States)

    Verma, Rajesh; Chaudhari, Tejendra Sukdeo; Raut, Tushar Premraj; Garg, Ravindra Kumar

    2013-12-15

    Guillain-Barre syndrome (GBS) is an acute polyradiculoneuropathy with varied severity of presentation. To study the clinical and electrophysiological profile of patients with GBS and to determine the factors associated with poor functional outcome and need for mechanical ventilation. It was a hospital-based prospective observational study. 90 patients with GBS diagnosed as per Asbury and Cornblath criteria were enrolled and followed up for 6 months. Various epidemiological, clinical and electrophysiological parameters were evaluated. Hughes motor scale was used to measure functional outcome. Factors associated with poor functional outcome and need for mechanical ventilation were determined. 90 patients (56 males; 34 females; mean age of 29.3±15.2 years) were enrolled in this study. Amongst these 6 (6.7%) patients died during in-hospital stay. Antecedent infection was present in 29 (32.2%), autonomic dysfunction in 31 (34.4%), bulbar palsy in 21 (23.3%), neck flexor weakness in 52 (57.8%). 60 cases (66.7%) were of axonal variety and 30 (33.3%) of demyelinating variety. On univariate analysis, predictors associated with poor functional outcome at 6 months were autonomic dysfunction (p=0.013), neck flexor weakness (p=0.009), requirement of ventilatory assistance (p=<0.001), MRC sum score<30 on admission (p=<0.001) and axonal pattern on electrophysiological assessment (p=<0.001). On multivariate analysis, MRC sum score<30 on admission (p=0.007) and axonal pattern on electrophysiological assessment (p=<0.001) were independently associated with poor functional outcome at 6 months. Factors associated with need for mechanical ventilation were presence of autonomic dysfunction (p=<0.001), cranial nerve palsy including facial palsy (p=<0.001) and bulbar palsy (p=0.002), neck flexor weakness (p=<0.001), low MRC sum score (<30) (p=0.001), and low proximal CPN CMAP amplitude to distal CPN CMAP amplitude ratio (p=0.042); none of them being significant on multivariate analysis

  17. A transformation of self-discrimination response functions in accordance with the arbitrarily applicable relations of sameness, more than, and less than.

    Science.gov (United States)

    Dymond, S; Barnes, D

    1995-09-01

    In Experiment 1, 2 experimental subjects were given pretraining of nonarbitrary relations that brought their responses under the control of four contextual stimuli; same, opposite, more than, and less than. One control subject was not exposed to this pretraining. The 2 pretrained subjects and the 3rd nonpretrained subject then received training in six arbitrary relations, the following four relations being the most critical: same/A1-B1, same/A1-C1, less than/A1-B2, more than/A1-C2. All 3 subjects were then tested for seven derived relations, the following three relations being the most important: same/B1-C1, more than/B1-C2, less than/B1-B2. The 2 pretrained subjects, but not the nonpretrained subject, showed the derived relations. One of the stimuli (B1) from the relational network and two novel stimuli (X1 and X2) were then used to train three different self-discrimination responses on three complex schedules of reinforcement. That is, all 3 subjects were trained to pick X1 if they had not emitted a response, to pick B1 if they had emitted one response only, and to pick X2 if they had emitted two responses only. The 2 pretrained subjects, but not the nonpretrained subject, showed the predicted transformation of self-discrimination response functions in accordance with the relations of sameness, more than, and less than (i.e., no response, pick B2; one response only, pick C1; and two responses only, pick C2). In Experiment 2, 2 new subjects were employed, and the arbitrary relational training and testing phases were modified to control for a procedural artifact that may have contributed to the results of the first experiment. Experiment 2 replicated the findings of Experiment 1. The pattern of results support the utility of a relational frames approach to understanding derived stimulus relations.

  18. Clinical and pulmonary functions profiling of patients with chronic obstructive pulmonary disease experiencing frequent acute exacerbations

    Directory of Open Access Journals (Sweden)

    Prem Parkash Gupta

    2018-01-01

    Full Text Available Purpose: The present study aimed at clinical and pulmonary functions profiling of patients with chronic obstructive pulmonary disease (COPD to anticipate future exacerbations. Methods: The study included 80 COPD patients; 40 patients had ≥2 acute exacerbations during preceding 1 year (frequent exacerbation [FECOPD] group and 40 patients had <2 acute exacerbations during preceding 1 year (infrequent exacerbation [I-FECOPD] group. Clinical profile, sputum microbiology, blood gas analysis, spirometric indices, and diffusion capacity (transfer test variables were assessed. Groups' comparison was performed using an independent t-test for numeric scale parameters and Chi-square test for nominal parameters. Pearson's and Spearman's correlation coefficients were derived for numeric scale parameters and numeric nominal parameters, respectively. Multinomial logistic regression analysis was done using SPSS software. Results: FECOPD group contained younger patients than in I-FECOPD group although the difference was not statistically significant. There was no significant difference between two groups regarding smoking pack-years and duration of illness. FECOPD group had significantly more expectoration score and Modified Medical Research Council dyspnea scores. Cough score and wheeze score did not differ significantly between two groups. More patients in FECOPD group (12/40 vs. 4/40 had lower airway bacterial colonization. Arterial blood gas parameters were more deranged in FECOPD group. Spirometric indices (forced expiratory volume during 1st s as well as transfer test (both diffusing capacity for carbon monoxide and transfer coefficient of the lung values were significantly reduced in FECOPD group. Conclusions: The patients in FECOPD group had clinical, spirometric, and transfer test profiling suggestive of a severe COPD phenotype, the recognition will help in predicting future exacerbations and a better management.

  19. Functionality profiles related to mortality in elders assisted in a Geriatric Outpatient Service

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    Ana Flávia Marostegan de Paula

    2015-03-01

    Full Text Available This study intended to evaluate the functional profile of the elderly in the Geriatric Outpatient Clinic of the Hospital of the State University of Campinas, correlating it with the occurrence of death. We evaluated 120 elderly outpatients (≥60 years, considering sociodemographic data, cognition by the Mini-Mental State Examination, Activities of Daily Living (ADL, Instrumental Activities of Daily Living (IADL, self-assessment of memory, depressive symptoms, number of medical consultations, and probability of death within one year. Cluster analysis, chi-square or Fisher’s exact test, and Mann-Whitney test were used as statistical analysis to compare the variables between the groups (p < 0.05. The mean age was 76.81 (±7.56 years; 66.7% were women; 63.33% were independent for ADL and 68.33% were dependent for IADL; 31.67% presented depressive symptoms; 30% presented cognitive impairment; 56.67% reported difficulty of remembering recent events; 83.33% had no difficulty emembering ancient events; 6.67% died within one year. It was possible to observe a profile consisting predominantly of younger elders, more educated, with more difficulty of remembering recent and ancient events, worse self-rated memory, and who died in greater proportion. The second profile consisted predominantly of older subjects, with higher percentage of illiteracy, less memory complaint, and no evolution to death. The study registered the existence of a group of elderly people who survive to older age with better cognitive performance. This finding is probably related to the greater resilience of these individuals.

  20. Discrimination and Anti-discrimination in Denmark

    DEFF Research Database (Denmark)

    Olsen, Tore Vincents

    The purpose of this report is to describe and analyse Danish anti-discrimination legislation and the debate about discrimination in Denmark in order to identify present and future legal challenges. The main focus is the implementation of the EU anti-discrimination directives in Danish law...

  1. Soil microbial community profiles and functional diversity in limestone cedar glades

    Science.gov (United States)

    Cartwright, Jennifer M.; Dzantor, E. Kudjo; Momen, Bahram

    2016-01-01

    Rock outcrop ecosystems, such as limestone cedar glades (LCGs), are known for their rare and endemic plant species adapted to high levels of abiotic stress. Soils in LCGs are thin (functional diversity were characterized in LCGs using community level physiological profiling (CLPP) and plate-dilution frequency assays (PDFA). Most-probable number (MPN) estimates and microbial substrate-utilization diversity (H) were positively related to soil thickness, soil organic matter (OM), soil water content, and vegetation density, and were diminished in alkaline soil relative to circumneutral soil. Soil nitrate showed no relationship to SMCs, suggesting lack of N-limitation. Canonical correlation analysis indicated strong correlations between microbial CLPP patterns and several physical and chemical properties of soil, primarily temperature at the ground surface and at 4-cm depth, and secondarily soil-water content, enabling differentiation by season. Thus, it was demonstrated that several well-described abiotic determinants of plant community structure in this ecosystem are also reflected in SMC profiles.

  2. Comparative Effects of Oyster Mushrooms on Lipid Profile, Liver and Kidney Function in Hypercholesterolemic Rats

    Science.gov (United States)

    Alam, Nuhu; Amin, Ruhul; Khan, Asaduzzaman; Ara, Ismot; Shim, Mi Ja; Lee, Min Woong; Lee, U Youn

    2009-01-01

    Comparative effects of oyster mushrooms on plasma and fecal lipid profiles and on liver and kidney function were evaluated in hyper and normocholesterolemic rats. Feeding of hypercholesterolemic rats a 5% powder of oyster mushrooms (Pleurotus ostreatus, P. sajor-caju and P. florida) reduced the plasma total cholesterol level by 37%, 21% and 16%, respectively and reduced the triglyceride level by 45%, 24% and 14%, respectively. LDL/HDL ratio decreased by 64%, 45% and 41% for P. sajor-caju, P. ostreatus and P. florida fed rats, respectively. Mushroom feeding also reduced body weight in hypercholesterolemic rats. However, it had no adverse effect on plasma bilirubin, creatinin and urea nitrogen level. Mushroom feeding also increased the total lipid and cholesterol excretion in the feces. The present study reveals that feeding of 5% oyster mushroom powder does not have detrimental effects on the liver and kidneys rather may provide health benefits for the cardiovascular-related complication by decreasing the atherogenic lipid profiles. PMID:23983505

  3. Profiles and Cognitive Predictors of Motor Functions among Early School-Age Children with Mild Intellectual Disabilities

    Science.gov (United States)

    Wuang, Y.-P.; Wang, C.-C.; Huang, M.-H.; Su, C.-Y.

    2008-01-01

    Background: The purpose of the study was to describe sensorimotor profile in children with mild intellectual disability (ID), and to examine the association between cognitive and motor function. Methods: A total of 233 children with mild ID aged 7 to 8 years were evaluated with measures of cognitive, motor and sensory integrative functioning.…

  4. Property profile of nanostructured blends of amine functionalized elastomer and epoxy

    Energy Technology Data Exchange (ETDEWEB)

    Zulfiqar, Sonia; Sarwar, Muhammad Ilyas [National University of Sciences and Technology (NUST), Islamabad (Pakistan); Fatima, Irum [Quaid-i-Azam University, Islamabad (Pakistan)

    2015-01-15

    Pure polystyrene-b-poly(ethylene-ran-butylene)-b-polystyrene (SEBS) was functionalized with amine moiety first through nitration, followed by reduction. The resulting amine modified SEBS was blended with various amounts of epoxy via in situ reactive approach. Thin blend films were initially cured at 120 .deg. C for 30 min and post cured at 180 .deg. C for 2 h. These films were then analyzed for their mechanical, thermal and morphological profile. Optimum improvement in tensile strength, modulus and toughness was observed with different epoxy loading in the blends. These blends were found thermally stable up to 300 .deg. C. The morphological studies indicated ample compatibility between the two components of blends.

  5. Numerical examination of acousto-optic Bragg interactions for profiled lightwaves using a transfer function formalism

    Science.gov (United States)

    Chatterjee, Monish R.; Almehmadi, Fares S.

    2013-10-01

    Classically, acousto-optic (AO) interactions comprise scattering of photons by energetic phonons into higher and lower orders. Standard weak interaction theory describes diffraction in the Bragg regime as the propagation of a uniform plane wave of light through a uniform plane wave of sound, resulting in the well-known first- and zeroth-order diffraction. Our preliminary investigation of the nature of wave diffraction and photon scattering from a Bragg cell under intensity feedback with profiled light beams indicates that the diffracted (upshifted photon) light continues to maintain the expected (uniform plane wave) behavior versus the optical phase shift in the cell within a small range of the Q-parameter, and at larger Qs, begins to deviate. Additionally, we observe the asymptotic axial shift of the beam center as predicted by the transfer function formalism.

  6. Clinical and functional profile of patients with the Painful Shoulder Syndrome (PSS).

    Science.gov (United States)

    Dias, Daniela; Matos, Marcos; Daltro, Carla; Guimarães, Armênio

    2008-01-01

    The Painful Shoulder Syndrome (PSS) is characterized by varying degrees of pain and functional limitation. The aim of this study is to describe the clinical and functional profile of these patients. 136 patients undergoing clinical treatment for PSS were evaluated by a questionnaire regarding the following variables: sex, age, occupation, affected shoulder and its dominance, image diagnosis, pain location, intensity and characteristics, physical activity involving the shoulder, preferential position of upper limbs during occupational activity, limitation of movements during activities o daily living, and job absenteeism. 74.3% of the patients were women (pshoulder was affected most frequently (58.8%) and dominant (91.9%). Rotator cuff tear was the most frequent shoulder pathology (75.4%). Treatment was sought more commonly in the chronic stage of pain (61.0%). Pain, moderate in intensity, predominated in males (54.3%) and severe pain was more frequent in females (47.5%), restricted to the shoulder in 44.1% and worsening at night (50%). The upper limbs were used more frequently below shoulder level during usual daily activities (68.4%), and limitation of movements was present mainly in women (63.4%, p=0.017). Rotator cuff tear is the most frequent cause of PSS. PSS produces pain and functional limitation, especially in women.

  7. Single-cell profiling reveals GPCR heterogeneity and functional patterning during neuroinflammation.

    Science.gov (United States)

    Tischner, Denise; Grimm, Myriam; Kaur, Harmandeep; Staudenraus, Daniel; Carvalho, Jorge; Looso, Mario; Günther, Stefan; Wanke, Florian; Moos, Sonja; Siller, Nelly; Breuer, Johanna; Schwab, Nicholas; Zipp, Frauke; Waisman, Ari; Kurschus, Florian C; Offermanns, Stefan; Wettschureck, Nina

    2017-08-03

    GPCR expression was intensively studied in bulk cDNA of leukocyte populations, but limited data are available with respect to expression in individual cells. Here, we show a microfluidic-based single-cell GPCR expression analysis in primary T cells, myeloid cells, and endothelial cells under naive conditions and during experimental autoimmune encephalomyelitis, the mouse model of multiple sclerosis. We found that neuroinflammation induces characteristic changes in GPCR heterogeneity and patterning, and we identify various functionally relevant subgroups with specific GPCR profiles among spinal cord-infiltrating CD4 T cells, macrophages, microglia, or endothelial cells. Using GPCRs CXCR4, S1P1, and LPHN2 as examples, we show how this information can be used to develop new strategies for the functional modulation of Th17 cells and activated endothelial cells. Taken together, single-cell GPCR expression analysis identifies functionally relevant subpopulations with specific GPCR repertoires and provides a basis for the development of new therapeutic strategies in immune disorders.

  8. A functional movement screen profile of an Australian state police force: a retrospective cohort study.

    Science.gov (United States)

    Orr, Robin Marc; Pope, Rodney; Stierli, Michael; Hinton, Ben

    2016-07-18

    Police officers are required to perform dynamic movements in unpredictable environments, the results of which can lead to injury. Early identification of poor movement patterns of a police population, and potential sub groups within this population, may provide opportunities to treat and minimise injury risks. The aim of this study was to profile the functional movement capabilities of an Australian state police force and potential sub groups through a retrospective cohort study. Retrospective data from an Australian State Police Force were provided for analysis (♂ n = 1155, mean (±SD) age = 31.34 ± 8.41 years: ♀ n = 357, mean age = 27.99 ± 8.02 years). Data consisted of Functional Movement Screen (FMS) assessment results of male and female trainees and qualified police officers with all assessments conducted by a qualified Police Physical Training Instructor. Significantly higher (U = 253863, p movement performance across all groups were the hurdle step and rotary stability. Generally, police personnel (both attested officers and recruits of both genders) of greater age have a lower functional movement capability when compared to younger personnel, with greater percentages scoring 14 or below on the FMS. Specific conditioning programs to improve strength, range of motion and stability during identified key movement types in those demonstrating poorer movement performance may serve to reduce injuries in police personnel.

  9. Multimodal Discrimination of Schizophrenia Using Hybrid Weighted Feature Concatenation of Brain Functional Connectivity and Anatomical Features with an Extreme Learning Machine

    Directory of Open Access Journals (Sweden)

    Muhammad Naveed Iqbal Qureshi

    2017-09-01

    Full Text Available Multimodal features of structural and functional magnetic resonance imaging (MRI of the human brain can assist in the diagnosis of schizophrenia. We performed a classification study on age, sex, and handedness-matched subjects. The dataset we used is publicly available from the Center for Biomedical Research Excellence (COBRE and it consists of two groups: patients with schizophrenia and healthy controls. We performed an independent component analysis and calculated global averaged functional connectivity-based features from the resting-state functional MRI data for all the cortical and subcortical anatomical parcellation. Cortical thickness along with standard deviation, surface area, volume, curvature, white matter volume, and intensity measures from the cortical parcellation, as well as volume and intensity from sub-cortical parcellation and overall volume of cortex features were extracted from the structural MRI data. A novel hybrid weighted feature concatenation method was used to acquire maximal 99.29% (P < 0.0001 accuracy which preserves high discriminatory power through the weight of the individual feature type. The classification was performed by an extreme learning machine, and its efficiency was compared to linear and non-linear (radial basis function support vector machines, linear discriminant analysis, and random forest bagged tree ensemble algorithms. This article reports the predictive accuracy of both unimodal and multimodal features after 10-by-10-fold nested cross-validation. A permutation test followed the classification experiment to assess the statistical significance of the classification results. It was concluded that, from a clinical perspective, this feature concatenation approach may assist the clinicians in schizophrenia diagnosis.

  10. Physical function in hospice patients and physiotherapy interventions: a profile of hospice physiotherapy.

    LENUS (Irish Health Repository)

    Cobbe, Sinead

    2012-07-01

    Abstract Objective: There is a dearth of international research on hospice physiotherapy. This study aims to profile hospice physiotherapy in an Irish setting in order to inform practice internationally. Design: The study design consisted of a retrospective chart audit over 6 months. Setting: The study took place at a specialist palliative care inpatient unit (hospice) in Limerick, Ireland. Participants: All patients were discharged (through death or discharge onwards) from January to June 2010. Outcome measure: The Edmonton Functional Assessment Tool (EFAT-2) was used as an outcome measure. Results: Sixty-five percent were referred for physiotherapy; 58% (n=144) were assessed and treated. A wide range of patients was referred (mean functional score 11, range 1-23, SD 5). Rehabilitation activities were widespread: 48% with more than one functional score recorded made improvements; 53% of physiotherapy patients were eventually discharged home; 47% of physiotherapy patients died, of whom 52% received physiotherapy in the last week of life. The median physiotherapy program lasted 11 days (range 1-186, SD 22) whereas the median number of treatments was four (range 1-99, SD 10). The most common interventions were gait re-education (67%), transfer training (58%), and exercises (53%). One third of treatment attempts were unsuccessful because of the unavailability\\/unsuitability of patients. Challenges for physiotherapists included frequent suspension of treatment and large functional fluctuations in patients. Conclusion: There was a high referral rate to physiotherapy in this hospice. Functional changes in hospice patients were mapped, showing that physiotherapy involved both rehabilitative and quality of life\\/supportive measures. The most common treatments were physical activity interventions.

  11. Physical function in hospice patients and physiotherapy interventions: a profile of hospice physiotherapy.

    Science.gov (United States)

    Cobbe, Sinead; Kennedy, Norelee

    2012-07-01

    There is a dearth of international research on hospice physiotherapy. This study aims to profile hospice physiotherapy in an Irish setting in order to inform practice internationally. The study design consisted of a retrospective chart audit over 6 months. The study took place at a specialist palliative care inpatient unit (hospice) in Limerick, Ireland. All patients were discharged (through death or discharge onwards) from January to June 2010. The Edmonton Functional Assessment Tool (EFAT-2) was used as an outcome measure. Sixty-five percent were referred for physiotherapy; 58% (n=144) were assessed and treated. A wide range of patients was referred (mean functional score 11, range 1-23, SD 5). Rehabilitation activities were widespread: 48% with more than one functional score recorded made improvements; 53% of physiotherapy patients were eventually discharged home; 47% of physiotherapy patients died, of whom 52% received physiotherapy in the last week of life. The median physiotherapy program lasted 11 days (range 1-186, SD 22) whereas the median number of treatments was four (range 1-99, SD 10). The most common interventions were gait re-education (67%), transfer training (58%), and exercises (53%). One third of treatment attempts were unsuccessful because of the unavailability/unsuitability of patients. Challenges for physiotherapists included frequent suspension of treatment and large functional fluctuations in patients. There was a high referral rate to physiotherapy in this hospice. Functional changes in hospice patients were mapped, showing that physiotherapy involved both rehabilitative and quality of life/supportive measures. The most common treatments were physical activity interventions.

  12. Morphine alters the circulating proteolytic profile in mice: functional consequences on cellular migration and invasion.

    Science.gov (United States)

    Xie, Nan; Khabbazi, Samira; Nassar, Zeyad D; Gregory, Kye; Vithanage, Tharindu; Anand-Apte, Bela; Cabot, Peter J; Sturgess, David; Shaw, Paul N; Parat, Marie-Odile

    2017-12-01

    Opioids modulate the tumor microenvironment with potential functional consequences for tumor growth and metastasis. We evaluated the effects of morphine administration on the circulating proteolytic profile of tumor-free mice. Serum from morphine-treated (1 or 10 mg/kg, i.p. every 12 h) or saline-treated mice was collected at different time points and tested ex vivo in endothelial, lymphatic endothelial, and breast cancer cell migration assays. Serum from mice that were treated with 10 mg/kg morphine for 3 d displayed reduced chemotactic potential for endothelial and breast cancer cells, and elicited reduced cancer cell invasion through reconstituted basement membrane compared with serum from saline controls. This was associated with decreased circulating matrix metalloproteinase 9 (MMP-9) and increased circulating tissue inhibitor of metalloproteinase 1 (TIMP-1) and TIMP-3/4 as assessed by zymography and reverse zymography. By using quantitative RT-PCR, we confirmed morphine-induced alterations in MMP-9 and TIMP expression and identified organs, including the liver and spleen, in which these changes originated. Pharmacologic inhibition of MMP-9 abrogated the difference in chemotactic attraction between serum from saline-treated and morphine-treated mice, which indicated that reduced proteolytic ability mediated the decreased migration toward serum from morphine-treated mice. This novel mechanism may enable morphine administration to promote an environment that is less conducive to tumor growth, invasion, and metastasis.-Xie, N., Khabbazi, S., Nassar, Z. D., Gregory, K., Vithanage, T., Anand-Apte, B., Cabot, P. J., Sturgess, D., Shaw, P. N., Parat, M.-O. Morphine alters the circulating proteolytic profile in mice: functional consequences on cellular migration and invasion. © FASEB.

  13. Effects of black raspberry on lipid profiles and vascular endothelial function in patients with metabolic syndrome.

    Science.gov (United States)

    Jeong, Han Saem; Hong, Soon Jun; Lee, Tae-Bum; Kwon, Ji-Wung; Jeong, Jong Tae; Joo, Hyung Joon; Park, Jae Hyoung; Ahn, Chul-Min; Yu, Cheol Woong; Lim, Do-Sun

    2014-10-01

    Black raspberry (Rubus occidentalis) has been known for its anti-inflammatory and anti-oxidant effects. However, short-term effects of black raspberry on lipid profiles and vascular endothelial function have not been investigated in patients with metabolic syndrome. Patients with metabolic syndrome (n = 77) were prospectively randomized into a group with black raspberry (n = 39, 750 mg/day) and a placebo group (n = 38) during a 12-week follow-up. Lipid profiles, brachial artery flow-mediated dilatation (baFMD), and inflammatory cytokines such as IL-6, TNF-α, C-reactive protein, adiponectin, sICAM-1, and sVCAM-1 were measured at the baseline and at the 12-week follow-up. Decreases from the baseline in the total cholesterol level (-22.8 ± 30.4 mg/dL vs. -1.9 ± 31.8 mg/dL, p raspberry than in the placebo group. Increases in baFMD at the 12-week follow-up were significantly greater in the group with black raspberry than in the placebo group (0.33 ± 0.44 mm vs. 0.10 ± 0.35 mm, p raspberry. The use of black raspberry significantly decreased serum total cholesterol level and inflammatory cytokines, thereby improving vascular endothelial function in patients with metabolic syndrome during the 12-week follow-up. Copyright © 2014 John Wiley & Sons, Ltd.

  14. Investigation of medium-term barred beach behavior using 28-year beach profile data and Rotated Empirical Orthogonal Function analysis

    Science.gov (United States)

    Kuriyama, Yoshiaki; Yanagishima, Shinichi

    2016-05-01

    A 28-year beach profile dataset for a stretch of the Hasaki coast in Japan was examined using Rotated Empirical Orthogonal Function (REOF) analysis to investigate the cross-shore variation in the characteristics of beach profile change. The data were obtained weekly, on a micro-tidal wave-dominated intermediate beach, along a survey line extending from the backshore to a water depth of approximately 5 m. REOF analysis using the first eight empirical orthogonal functions led to the study area being divided into five unique zones based on beach profile change patterns, namely the backshore, the foreshore, the inner and outer transition zones and the bar-trough zone. Although these zones were notably distinct from one another, the profiles in foreshore and the shoreward part of the inner transition zone changed in the same way over periods of 6 and 12 months.

  15. Continuous versus cyclic progesterone exposure differentially regulates hippocampal gene expression and functional profiles.

    Directory of Open Access Journals (Sweden)

    Liqin Zhao

    Full Text Available This study investigated the impact of chronic exposure to continuous (CoP4 versus cyclic progesterone (CyP4 alone or in combination with 17β-estradiol (E2 on gene expression profiles targeting bioenergetics, metabolism and inflammation in the adult female rat hippocampus. High-throughput qRT-PCR analyses revealed that ovarian hormonal depletion induced by ovariectomy (OVX led to multiple significant gene expression alterations, which were to a great extent reversed by co-administration of E2 and CyP4. In contrast, co-administration of E2 and CoP4 induced a pattern highly resembling OVX. Bioinformatics analyses further revealed clear disparities in functional profiles associated with E2+CoP4 and E2+CyP4. Genes involved in mitochondrial energy (ATP synthase α subunit; Atp5a1, redox homeostasis (peroxiredoxin 5; Prdx5, insulin signaling (insulin-like growth factor I; Igf1, and cholesterol trafficking (liver X receptor α subtype; Nr1h3, differed in direction of regulation by E2+CoP4 (down-regulation relative to OVX and E2+CyP4 (up-regulation relative to OVX. In contrast, genes involved in amyloid metabolism (β-secretase; Bace1 differed only in degree of regulation, as both E2+CoP4 and E2+CyP4 induced down-regulation at different efficacy. E2+CyP4-induced changes could be associated with regulation of progesterone receptor membrane component 1(Pgrmc1. In summary, results from this study provide evidence at the molecular level that differing regimens of hormone therapy (HT can induce disparate gene expression profiles in brain. From a translational perspective, confirmation of these results in a model of natural menopause, would imply that the common regimen of continuous combined HT may have adverse consequences whereas a cyclic combined regimen, which is more physiological, could be an effective strategy to maintain neurological health and function throughout menopausal aging.

  16. How gender and boat-side affect shape characteristics of force-angle profiles in single sculling: Insights from functional data analysis.

    Science.gov (United States)

    Warmenhoven, John; Cobley, Stephen; Draper, Conny; Harrison, Andrew; Bargary, Norma; Smith, Richard

    2017-08-24

    To examine whether gender or side of the boat influenced shape characteristics of the force-angle profile in on-water single sculling. Cross-sectional study design. Bivariate functional principal components analysis (bfPCA) was applied to force-angle data to identify the main modes of variance in curves of forty highly skilled male and female rowers (national and international level), rowing at 32 strokes per minute in a single scull boat. Separate discriminant function analyses for each side of the boat showed strong classification of rowers for gender. Force application close to (or closely around) the perpendicular oar position was demonstrated to be different between genders. A mixed ANOVA exploring gender, boat side and their interaction revealed that bow and stroke side forces were also statistically different from each other independently of gender. A main effect, independent of side of the boat, was also present for gender and no interaction was found between gender and boat side. Bow side forces seemingly acted as a driver of power and peak force production, while stroke side forces may have acted as a mediator of propulsive forces with an additional potential role in steering due to known asymmetrical offsets in boat rigging. Results demonstrate that propulsive force differences according to gender and boat-side are evident and must be acknowledged and accounted for before force-angle graphs are explored relative to performance measures. Copyright © 2017. Published by Elsevier Ltd.

  17. Metabonomic profiling of serum and urine by (1H NMR-based spectroscopy discriminates patients with chronic obstructive pulmonary disease and healthy individuals.

    Directory of Open Access Journals (Sweden)

    Lingling Wang

    Full Text Available Chronic obstructive pulmonary disease (COPD has seriously impacted the health of individuals and populations. In this study, proton nuclear magnetic resonance ((1H NMR-based metabonomics combined with multivariate pattern recognition analysis was applied to investigate the metabolic signatures of patients with COPD. Serum and urine samples were collected from COPD patients (n = 32 and healthy controls (n = 21, respectively. Samples were analyzed by high resolution (1H NMR (600 MHz, and the obtained spectral profiles were then subjected to multivariate data analysis. Consistent metabolic differences have been found in serum as well as in urine samples from COPD patients and healthy controls. Compared to healthy controls, COPD patients displayed decreased lipoprotein and amino acids, including branched-chain amino acids (BCAAs, and increased glycerolphosphocholine in serum. Moreover, metabolic differences in urine were more significant than in serum. Decreased urinary 1-methylnicotinamide, creatinine and lactate have been discovered in COPD patients in comparison with healthy controls. Conversely, acetate, ketone bodies, carnosine, m-hydroxyphenylacetate, phenylacetyglycine, pyruvate and α-ketoglutarate exhibited enhanced expression levels in COPD patients relative to healthy subjects. Our results illustrate the potential application of NMR-based metabonomics in early diagnosis and understanding the mechanisms of COPD.

  18. Morphological, maturational, functional and technical profile of young Brazilian soccer players

    Directory of Open Access Journals (Sweden)

    Marcelo de Oliveira Matta

    2014-03-01

    The objectives of this study were to describe and compare the anthropometric profile, physical fitness and soccer-specific skills between under-15 and under-17 Brazilian soccer players, as well as to evaluate possible differences in these variables according to biological maturation in the age categories. The sample consisted of 245 male soccer players (under-15: n=161; under-17: n=84. Anthropometric measures included weight, height and skinfolds. Biological maturation was assessed based on pubic hair development. The following tests were used for functional assessment: static and countermovement jump, Yo-Yo intermittent endurance test (level 2, RAST, 5- and 30-meter running speed, and agility T-test. Soccer-specific skills were assessed using three tests: ball control, dribbling, and kick accuracy. Descriptive statistics, t-test and analysis of variance (ANOVA were used for statistical analysis. The results showed a larger body size (stature and body mass, longer sports experience (years of formal training and better performance in most of the functional tests for under-17 soccer players compared to under-15 players. There were no significant differences in adiposity or soccer-specific skills between levels of competition. Significant differences as a function of maturation stage were observed in anthropometric and functional variables only in the under-15 category. In conclusion, the under-17 category differs from the under-15 category in terms of anthropometric and physical fitness characteristics. However, no difference was observed in two of the three soccer-specific skills. Physical fitness components and soccer-specific skills were associated with maturity only in the under-15 category.

  19. Quantitative pharmacological analyses of the interaction between flumazenil and midazolam in monkeys discriminating midazolam: Determination of the functional half life of flumazenil.

    Science.gov (United States)

    Zanettini, Claudio; France, Charles P; Gerak, Lisa R

    2014-01-15

    The duration of action of a drug is commonly estimated using plasma concentration, which is not always practical to obtain or an accurate estimate of functional half life. For example, flumazenil is used clinically to reverse the effects of benzodiazepines like midazolam; however, its elimination can be altered by other drugs, including some benzodiazepines, thereby altering its half life. This study used Schild analyses to characterize antagonism of midazolam by flumazenil and determine the functional half life of flumazenil. Four monkeys discriminated 0.178mg/kg midazolam while responding under a fixed-ratio 10 schedule of stimulus-shock termination; flumazenil was given at various times before determination of a midazolam dose-effect curve. There was a time-related decrease in the magnitude of shift of the midazolam dose-effect curve as the interval between flumazenil and midazolam increased. The potency of flumazenil, estimated by apparent pA2 values (95% CI), was 7.30 (7.12, 7.49), 7.17 (7.03, 7.31), 6.91 (6.72, 7.10) and 6.80 (6.67, 6.92) at 15, 30, 60 and 120min after flumazenil administration, respectively. The functional half life of flumazenil, derived from potency estimates, was 57±13min. Thus, increasing the interval between flumazenil and midazolam causes orderly decreases in flumazenil potency; however, across a broad range of conditions, the qualitative nature of the interaction does not change, as indicated by slopes of Schild plots at all time points that are not different from unity. Differences in potency of flumazenil are therefore due to elimination of flumazenil and not due to pharmacodynamic changes over time. © 2013 Published by Elsevier B.V.

  20. Multi-modal, Multi-measure, and Multi-class Discrimination of ADHD with Hierarchical Feature Extraction and Extreme Learning Machine Using Structural and Functional Brain MRI.

    Science.gov (United States)

    Qureshi, Muhammad Naveed Iqbal; Oh, Jooyoung; Min, Beomjun; Jo, Hang Joon; Lee, Boreom

    2017-01-01

    Structural and functional MRI unveil many hidden properties of the human brain. We performed this multi-class classification study on selected subjects from the publically available attention deficit hyperactivity disorder ADHD-200 dataset of patients and healthy children. The dataset has three groups, namely, ADHD inattentive, ADHD combined, and typically developing. We calculated the global averaged functional connectivity maps across the whole cortex to extract anatomical atlas parcellation based features from the resting-state fMRI (rs-fMRI) data and cortical parcellation based features from the structural MRI (sMRI) data. In addition, the preprocessed image volumes from both of these modalities followed an ANOVA analysis separately using all the voxels. This study utilized the average measure from the most significant regions acquired from ANOVA as features for classification in addition to the multi-modal and multi-measure features of structural and functional MRI data. We extracted most discriminative features by hierarchical sparse feature elimination and selection algorithm. These features include cortical thickness, image intensity, volume, cortical thickness standard deviation, surface area, and ANOVA based features respectively. An extreme learning machine performed both the binary and multi-class classifications in comparison with support vector machines. This article reports prediction accuracy of both unimodal and multi-modal features from test data. We achieved 76.190% (p < 0.0001) classification accuracy in multi-class settings as well as 92.857% (p < 0.0001) classification accuracy in binary settings. In addition, we found ANOVA-based significant regions of the brain that also play a vital role in the classification of ADHD. Thus, from a clinical perspective, this multi-modal group analysis approach with multi-measure features may improve the accuracy of the ADHD differential diagnosis.

  1. Single-cell profiling reveals heterogeneity and functional patterning of GPCR expression in the vascular system.

    Science.gov (United States)

    Kaur, H; Carvalho, J; Looso, M; Singh, P; Chennupati, R; Preussner, J; Günther, S; Albarrán-Juárez, J; Tischner, D; Classen, S; Offermanns, S; Wettschureck, N

    2017-06-16

    G-protein-coupled receptor (GPCR) expression is extensively studied in bulk cDNA, but heterogeneity and functional patterning of GPCR expression in individual vascular cells is poorly understood. Here, we perform a microfluidic-based single-cell GPCR expression analysis in primary smooth muscle cells (SMC) and endothelial cells (EC). GPCR expression is highly heterogeneous in all cell types, which is confirmed in reporter mice, on the protein level and in human cells. Inflammatory activation in murine models of sepsis or atherosclerosis results in characteristic changes in the GPCR repertoire, and we identify functionally relevant subgroups of cells that are characterized by specific GPCR patterns. We further show that dedifferentiating SMC upregulate GPCRs such as Gpr39, Gprc5b, Gprc5c or Gpr124, and that selective targeting of Gprc5b modulates their differentiation state. Taken together, single-cell profiling identifies receptors expressed on pathologically relevant subpopulations and provides a basis for the development of new therapeutic strategies in vascular diseases.

  2. Expression profiling of hypothetical genes in Desulfovibrio vulgaris leads to improved functional annotation

    Energy Technology Data Exchange (ETDEWEB)

    Elias, Dwayne A.; Mukhopadhyay, Aindrila; Joachimiak, Marcin P.; Drury, Elliott C.; Redding, Alyssa M.; Yen, Huei-Che B.; Fields, Matthew W.; Hazen, Terry C.; Arkin, Adam P.; Keasling, Jay D.; Wall, Judy D.

    2008-10-27

    Hypothetical and conserved hypothetical genes account for>30percent of sequenced bacterial genomes. For the sulfate-reducing bacterium Desulfovibrio vulgaris Hildenborough, 347 of the 3634 genes were annotated as conserved hypothetical (9.5percent) along with 887 hypothetical genes (24.4percent). Given the large fraction of the genome, it is plausible that some of these genes serve critical cellular roles. The study goals were to determine which genes were expressed and provide a more functionally based annotation. To accomplish this, expression profiles of 1234 hypothetical and conserved genes were used from transcriptomic datasets of 11 environmental stresses, complemented with shotgun LC-MS/MS and AMT tag proteomic data. Genes were divided into putatively polycistronic operons and those predicted to be monocistronic, then classified by basal expression levels and grouped according to changes in expression for one or multiple stresses. 1212 of these genes were transcribed with 786 producing detectable proteins. There was no evidence for expression of 17 predicted genes. Except for the latter, monocistronic gene annotation was expanded using the above criteria along with matching Clusters of Orthologous Groups. Polycistronic genes were annotated in the same manner with inferences from their proximity to more confidently annotated genes. Two targeted deletion mutants were used as test cases to determine the relevance of the inferred functional annotations.

  3. High-speed real-time data classification and cell sorting using discriminant functions and probabilities of misclassification for stem cell enrichment and tumor purging

    Science.gov (United States)

    Leary, James F.; McLaughlin, Scott R.; Hokanson, James A.; Rosenblatt, Judah I.

    1998-04-01

    Data analysis and cell sorting are both fundamentally the same except in terms of the time available to make classification decisions. In the case of cell sorting the cell classification decisions must be made in real-time (in the case of cell sorting, real-time means in about 625 microseconds on this system). This dictates an approach to classification which can be implemented at memory speeds or in pre-programmed hardware. We have been developing new high-speed lookup table transformation methods, suitable for real-time data classification or cell sorting based on statistical classifiers. Multiparameter data mixtures of human MCF-7 breast cancer cells and human bone marrow were analyzed by discriminant function analysis. Cell identification tags, implemented as additional correlated listmode parameters not used for these analyses, were used to uniquely identify each cell type and to compare classifier results. The performance of classifier systems was also assessed using ROC ('receiver operating characteristics') analysis. The effectiveness of the classification system for cell sorting can be evaluated using molecular characterizations of sorted cells, either in small numbers or at single-cell level.

  4. Life satisfaction and trauma in clinical and non-clinical children living in a war-torn environment: A discriminant analysis.

    Science.gov (United States)

    Veronese, Guido; Pepe, Alessandro

    2017-07-01

    The aim of this work was to discriminate between healthy children and children at risk of developing mental impairments by evaluating the impact on contextual and individual factors of a context characterized by war. We tested the hypothesis that a linear discriminant function composed of trauma, life satisfaction, and affect balance has the power to classify the children as community or clinical referred. Membership of the clinical-referred group was associated with poorer life satisfaction and higher levels of trauma. Community-referred profiles were associated with lesser trauma. Perceived life satisfaction regarding family and school was the main contributor to the discriminant function.

  5. The Badness of Discrimination

    DEFF Research Database (Denmark)

    Lippert-Rasmussen, Kasper

    2006-01-01

    The most blatant forms of discrimination are morally outrageous and very obviously so; but the nature and boundaries of discrimination are more controversial, and it is not clear whether all forms of discrimination are morally bad; nor is it clear why objectionable cases of discrimination are bad...

  6. CLOE: Identification of putative functional relationships among genes by comparison of expression profiles between two species

    Directory of Open Access Journals (Sweden)

    Pellegrino Maurizio

    2004-11-01

    Full Text Available Abstract Background Public repositories of microarray data contain an incredible amount of information that is potentially relevant to explore functional relationships among genes by meta-analysis of expression profiles. However, the widespread use of this resource by the scientific community is at the moment limited by the limited availability of effective tools of analysis. We here describe CLOE, a simple cDNA microarray data mining strategy based on meta-analysis of datasets from pairs of species. The method consists in ranking EST probes in the datasets of the two species according to the similarity of their expression profiles with that of two EST probes from orthologous genes, and extracting orthologous EST pairs from a given top interval of the ranked lists. The Gene Ontology annotation of the obtained candidate partners is then analyzed for keywords overrepresentation. Results We demonstrate the capabilities of the approach by testing its predictive power on three proteomically-defined mammalian protein complexes, in comparison with single and multiple species meta-analysis approaches. Our results show that CLOE can find candidate partners for a greater number of genes, if compared to multiple species co-expression analysis, but retains a comparable specificity even when applied to species as close as mouse and human. On the other hand, it is much more specific than single organisms co-expression analysis, strongly reducing the number of potential candidate partners for a given gene of interest. Conclusions CLOE represents a simple and effective data mining approach that can be easily used for meta-analysis of cDNA microarray experiments characterized by very heterogeneous coverage. Importantly, it produces for genes of interest an average number of high confidence putative partners that is in the range of standard experimental validation techniques.

  7. Gender and functional CYP2C and NAT2 polymorphisms determine the metabolic profile of metamizole.

    Science.gov (United States)

    Martínez, Carmen; Andreu, Inmaculada; Amo, Gemma; Miranda, Miguel A; Esguevillas, Gara; Torres, María José; Blanca-López, Natalia; Blanca, Miguel; García-Martín, Elena; Agúndez, José A G

    2014-12-01

    Metamizole is a pain-killer drug that has been banned in some countries because of its toxicity, but it is still used in many countries due to its effective analgesic and antispasmodic properties. Although large variability in the biodisposition and adverse effects of metamizole are known, factors underlying this variability are poorly understood. We analyzed the urinary recovery of metabolites, as well as the association of these profiles with genetic and non-genetic factors, in a group of 362 healthy individuals. Gender and functional polymorphisms are strongly related to metabolic profiles. N-demethylation of the active metabolite MAA is diminished in carriers of the CYP2C19*2 allele and in NAT2-slow acetylators. Acetylation of the secondary metabolite AA is decreased in men, in drinkers and in NAT2-slow acetylators with a differential effect of NAT2*5 and NAT2*6 alleles. The formylation of MAA is diminished in older subjects and in carriers of defect CYP2C9 and CYP2C19 alleles. Two novel arachidonoyl metabolites were identified for the first time in humans. Women and NAT2-slow acetylators show higher concentrations, whereas the presence of the rapid CYP2C19*17 allele is associated with lower concentrations of these metabolites. All genetic associations show a gene-dose effect. We identified for the first time genetic and non-genetic factors related to the oxidative metabolism of analgesic drug metamizole, as well as new active metabolites in humans. The phenotypic and genetic factors identified in this study have a potential application as biomarkers of metamizole biotransformation and toxicity. Copyright © 2014 Elsevier Inc. All rights reserved.

  8. Blood gene expression profiles suggest altered immune function associated with symptoms of generalized anxiety disorder.

    Science.gov (United States)

    Wingo, Aliza P; Gibson, Greg

    2015-01-01

    Prospective epidemiological studies found that generalized anxiety disorder (GAD) can impair immune function and increase risk for cardiovascular disease or events. Mechanisms underlying the physiological reverberations of anxiety, however, are still elusive. Hence, we aimed to investigate molecular processes mediating effects of anxiety on physical health using blood gene expression profiles of 336 community participants (157 anxious and 179 control). We examined genome-wide differential gene expression in anxiety, as well as associations between nine major modules of co-regulated transcripts in blood gene expression and anxiety. No significant differential expression was observed in women, but 631 genes were differentially expressed between anxious and control men at the false discovery rate of 0.1 after controlling for age, body mass index, race, and batch effect. Gene set enrichment analysis (GSEA) revealed that genes with altered expression levels in anxious men were involved in response of various immune cells to vaccination and to acute viral and bacterial infection, and in a metabolic network affecting traits of metabolic syndrome. Further, we found one set of 260 co-regulated genes to be significantly associated with anxiety in men after controlling for the relevant covariates, and demonstrate its equivalence to a component of the stress-related conserved transcriptional response to adversity profile. Taken together, our results suggest potential molecular pathways that can explain negative effects of GAD observed in epidemiological studies. Remarkably, even mild anxiety, which most of our participants had, was associated with observable changes in immune-related gene expression levels. Our findings generate hypotheses and provide incremental insights into molecular mechanisms mediating negative physiological effects of GAD. Published by Elsevier Inc.

  9. Three-Dimensional Mapping of Soil Organic Carbon by Combining Kriging Method with Profile Depth Function.

    Science.gov (United States)

    Chen, Chong; Hu, Kelin; Li, Hong; Yun, Anping; Li, Baoguo

    2015-01-01

    Understanding spatial variation of soil organic carbon (SOC) in three-dimensional direction is helpful for land use management. Due to the effect of profile depths and soil texture on vertical distribution of SOC, the stationary assumption for SOC cannot be met in the vertical direction. Therefore the three-dimensional (3D) ordinary kriging technique cannot be directly used to map the distribution of SOC at a regional scale. The objectives of this study were to map the 3D distribution of SOC at a regional scale by combining kriging method with the profile depth function of SOC (KPDF), and to explore the effects of soil texture and land use type on vertical distribution of SOC in a fluvial plain. A total of 605 samples were collected from 121 soil profiles (0.0 to 1.0 m, 0.20 m increment) in Quzhou County, China and SOC contents were determined for each soil sample. The KPDF method was used to obtain the 3D map of SOC at the county scale. The results showed that the exponential equation well described the vertical distribution of mean values of the SOC contents. The coefficients of determination, root mean squared error and mean prediction error between the measured and the predicted SOC contents were 0.52, 1.82 and -0.24 g kg(-1) respectively, suggesting that the KPDF method could be used to produce a 3D map of SOC content. The surface SOC contents were high in the mid-west and south regions, and low values lay in the southeast corner. The SOC contents showed significant positive correlations between the five different depths and the correlations of SOC contents were larger in adjacent layers than in non-adjacent layers. Soil texture and land use type had significant effects on the spatial distribution of SOC. The influence of land use type was more important than that of soil texture in the surface soil, and soil texture played a more important role in influencing the SOC levels for 0.2-0.4 m layer.

  10. Three-Dimensional Mapping of Soil Organic Carbon by Combining Kriging Method with Profile Depth Function.

    Directory of Open Access Journals (Sweden)

    Chong Chen

    Full Text Available Understanding spatial variation of soil organic carbon (SOC in three-dimensional direction is helpful for land use management. Due to the effect of profile depths and soil texture on vertical distribution of SOC, the stationary assumption for SOC cannot be met in the vertical direction. Therefore the three-dimensional (3D ordinary kriging technique cannot be directly used to map the distribution of SOC at a regional scale. The objectives of this study were to map the 3D distribution of SOC at a regional scale by combining kriging method with the profile depth function of SOC (KPDF, and to explore the effects of soil texture and land use type on vertical distribution of SOC in a fluvial plain. A total of 605 samples were collected from 121 soil profiles (0.0 to 1.0 m, 0.20 m increment in Quzhou County, China and SOC contents were determined for each soil sample. The KPDF method was used to obtain the 3D map of SOC at the county scale. The results showed that the exponential equation well described the vertical distribution of mean values of the SOC contents. The coefficients of determination, root mean squared error and mean prediction error between the measured and the predicted SOC contents were 0.52, 1.82 and -0.24 g kg(-1 respectively, suggesting that the KPDF method could be used to produce a 3D map of SOC content. The surface SOC contents were high in the mid-west and south regions, and low values lay in the southeast corner. The SOC contents showed significant positive correlations between the five different depths and the correlations of SOC contents were larger in adjacent layers than in non-adjacent layers. Soil texture and land use type had significant effects on the spatial distribution of SOC. The influence of land use type was more important than that of soil texture in the surface soil, and soil texture played a more important role in influencing the SOC levels for 0.2-0.4 m layer.

  11. Cognitive profile and disorders affecting higher brain functions in paediatric patients with neurofibromatosis type 1.

    Science.gov (United States)

    Vaucheret Paz, E; López Ballent, A; Puga, C; García Basalo, M J; Baliarda, F; Ekonen, C; Ilari, R; Agosta, G

    2017-04-18

    Neurofibromatosis type 1 (NF1) is a common neurocutaneous syndrome often associated with specific cognitive deficits that are rarely monitored during follow-up of these patients. The purpose of our study is two-fold. First, we aimed to describe the cognitive profile of patients with NF1 and detect disorders in higher brain functions associated with the disease. Second, we identified the reasons for consultation associated with school performance in these patients. We conducted a descriptive cross-sectional study of 24 paediatric patients (ages 5 to 16) with NF1 who underwent neuropsychological assessment. The most frequent reasons for consultation were attention deficits (58.33%), learning disorders (25%), poor motor coordination (25%), and language impairment (0.8%). Although 96% of the patients displayed impairments in at least one of the assessed areas, only 83.34% of the parents had reported such impairments. Attention-deficit/hyperactivity disorder was present in 58.33% of the patients, whereas 33.33% had nonverbal learning disabilities, 20.83% had expressive language disorder, 8.33% had borderline intellectual functioning, 4.16% had mental retardation, and only 4.16% showed no cognitive impairment. Higher brain functions are frequently impaired in paediatric patients with NF1. Although many parents report such disorders, they can go undetected in some cases. Neuropsychological assessment is recommended for all paediatric patients with NF1 to detect cognitive impairment and provide early, effective rehabilitation treatment. Copyright © 2017 Sociedad Española de Neurología. Publicado por Elsevier España, S.L.U. All rights reserved.

  12. Transcriptional profiling of the pea shoot apical meristem reveals processes underlying its function and maintenance

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    Singh Mohan B

    2008-06-01

    Full Text Available Abstract Background Despite the importance of the shoot apical meristem (SAM in plant development and organ formation, our understanding of the molecular mechanisms controlling its function is limited. Genomic tools have the potential to unravel the molecular mysteries of the SAM, and legume systems are increasingly being used in plant-development studies owing to their unique characteristics such as nitrogen fixation, secondary metabolism, and pod development. Garden pea (Pisum sativum is a well-established classic model species for genetics studies that has been used since the Mendel era. In addition, the availability of a plethora of developmental mutants makes pea an ideal crop legume for genomics studies. This study aims to utilise genomics tools in isolating genes that play potential roles in the regulation of SAM activity. Results In order to identify genes that are differentially expressed in the SAM, we generated 2735 ESTs from three cDNA libraries derived from freshly micro-dissected SAMs from 10-day-old garden peas (Pisum sativum cv Torsdag. Custom-designed oligonucleotide arrays were used to compare the transcriptional profiles of pea SAMs and non-meristematic tissues. A total of 184 and 175 transcripts were significantly up- or down-regulated in the pea SAM, respectively. As expected, close to 61% of the transcripts down-regulated in the SAM were found in the public database, whereas sequences from the same source only comprised 12% of the genes that were expressed at higher levels in the SAM. This highlights the under-representation of transcripts from the meristematic tissues in the current public pea protein database, and demonstrates the utility of our SAM EST collection as an essential genetic resource for revealing further information on the regulation of this developmental process. In addition to unknowns, many of the up-regulated transcripts are known to encode products associated with cell division and proliferation

  13. Transcriptional profiling of the pea shoot apical meristem reveals processes underlying its function and maintenance.

    Science.gov (United States)

    Wong, Chui E; Bhalla, Prem L; Ottenhof, Harald; Singh, Mohan B

    2008-06-30

    Despite the importance of the shoot apical meristem (SAM) in plant development and organ formation, our understanding of the molecular mechanisms controlling its function is limited. Genomic tools have the potential to unravel the molecular mysteries of the SAM, and legume systems are increasingly being used in plant-development studies owing to their unique characteristics such as nitrogen fixation, secondary metabolism, and pod development. Garden pea (Pisum sativum) is a well-established classic model species for genetics studies that has been used since the Mendel era. In addition, the availability of a plethora of developmental mutants makes pea an ideal crop legume for genomics studies. This study aims to utilise genomics tools in isolating genes that play potential roles in the regulation of SAM activity. In order to identify genes that are differentially expressed in the SAM, we generated 2735 ESTs from three cDNA libraries derived from freshly micro-dissected SAMs from 10-day-old garden peas (Pisum sativum cv Torsdag). Custom-designed oligonucleotide arrays were used to compare the transcriptional profiles of pea SAMs and non-meristematic tissues. A total of 184 and 175 transcripts were significantly up- or down-regulated in the pea SAM, respectively. As expected, close to 61% of the transcripts down-regulated in the SAM were found in the public database, whereas sequences from the same source only comprised 12% of the genes that were expressed at higher levels in the SAM. This highlights the under-representation of transcripts from the meristematic tissues in the current public pea protein database, and demonstrates the utility of our SAM EST collection as an essential genetic resource for revealing further information on the regulation of this developmental process. In addition to unknowns, many of the up-regulated transcripts are known to encode products associated with cell division and proliferation, epigenetic regulation, auxin-mediated responses and

  14. Proteomic profiling reveals dopaminergic regulation of progenitor cell functions of goldfish radial glial cells in vitro.

    Science.gov (United States)

    Xing, Lei; Martyniuk, Christopher J; Esau, Crystal; Da Fonte, Dillon F; Trudeau, Vance L

    2016-07-20

    proteome on a large scale in a vertebrate species. These data provide novel insight into glial protein networks that are associated with neuroendocrine function and neurogenesis in the teleost brain. While the role of radial glial cells in organizing brain structure and neurogenesis has been well studied, protein profiling experiments in this unique cell type has not been conducted. This study is the first to profile the proteome of goldfish radial glial cells in culture and to study the regulation of progenitor functions of radial glial cells by the neurotransmitter dopamine. This study provides the foundation for molecular network analysis in fish radial glial cells, and identifies cellular processes and signaling pathways in these cells with roles in neurogenesis and neuroendocrine function. Lastly, this study begins to characterize signatures and biomarkers for specific neuroendocrine and neurogenesis disruptors. Copyright © 2016 Elsevier B.V. All rights reserved.

  15. Lipid profiling and transcriptomic analysis reveals a functional interplay between estradiol and growth hormone in liver.

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    Leandro Fernández-Pérez

    Full Text Available 17β-estradiol (E2 may interfere with endocrine, metabolic, and gender-differentiated functions in liver in both females and males. Indirect mechanisms play a crucial role because of the E2 influence on the pituitary GH secretion and the GHR-JAK2-STAT5 signaling pathway in the target tissues. E2, through its interaction with the estrogen receptor, exerts direct effects on liver. Hypothyroidism also affects endocrine and metabolic functions of the liver, rendering a metabolic phenotype with features that mimic deficiencies in E2 or GH. In this work, we combined the lipid and transcriptomic analysis to obtain comprehensive information on the molecular mechanisms of E2 effects, alone and in combination with GH, to regulate liver functions in males. We used the adult hypothyroid-orchidectomized rat model to minimize the influence of internal hormones on E2 treatment and to explore its role in male-differentiated functions. E2 influenced genes involved in metabolism of lipids and endo-xenobiotics, and the GH-regulated endocrine, metabolic, immune, and male-specific responses. E2 induced a female-pattern of gene expression and inhibited GH-regulated STAT5b targeted genes. E2 did not prevent the inhibitory effects of GH on urea and amino acid metabolism-related genes. The combination of E2 and GH decreased transcriptional immune responses. E2 decreased the hepatic content of saturated fatty acids and induced a transcriptional program that seems to be mediated by the activation of PPARα. In contrast, GH inhibited fatty acid oxidation. Both E2 and GH replacements reduced hepatic CHO levels and increased the formation of cholesterol esters and triacylglycerols. Notably, the hepatic lipid profiles were endowed with singular fingerprints that may be used to segregate the effects of different hormonal replacements. In summary, we provide in vivo evidence that E2 has a significant impact on lipid content and transcriptome in male liver and that E2 exerts a

  16. Expression Profiles, Characterization and Function of HbTCTP in Rubber Tree (Hevea brasiliensis).

    Science.gov (United States)

    Deng, Zhi; Chen, Jiangshu; Leclercq, Julie; Zhou, Zhuangzhi; Liu, Changren; Liu, Hui; Yang, Hong; Montoro, Pascal; Xia, Zhihui; Li, Dejun

    2016-01-01

    As a highly conserved protein, the translationally controlled tumor protein (TCTP) carries out vital roles in various life processes. In rubber tree, two TCTP genes, HbTCTP and HbTCTP1, were cloned, but only HbTCTP1 was studied in details. In this study, cis-acting regulatory elements, expression patterns, subcellular localization, interacting proteins, and antioxidant activity of HbTCTP were systematically analyzed. Besides the common cis-acting regulatory elements, HbTCTP promoter also harbored various known cis-elements that respond to hormone/stresses. Being consistent with the aforementioned results, HbTCTP was regulated by drought, low temperature, high salt, ethylene (ET), wounding, H2O2, and methyl jasmonate (MeJA) treatments. HbTCTP was expressed throughout different tissues and developmental stages of leaves. In addition, HbTCTP was associated with tapping panel dryness (TPD). HbTCTP was localized in the membrane, cytoplasm and the nucleus, and interacted with four proteins rubber elongation factor (REF), 17.5 kDa heat shock family protein, annexin, and REF-like stress related protein 1. Being similar to HbTCTP1, HbTCTP also indicated antioxidant activity in metal-catalyzed oxidation (MCO) system. Our results are useful for further understanding the molecular characterization and expression profiles of HbTCTP, but also lay a solid foundation for elucidating the function of HbTCTP in rubber tree.

  17. Metabolite profiles correlate closely with neurobehavioral function in experimental spinal cord injury in rats.

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    Yusuke Fujieda

    Full Text Available Traumatic spinal cord injury (SCI results in direct physical damage and the generation of local factors contributing to secondary pathogenesis. Untargeted metabolomic profiling was used to uncover metabolic changes and to identify relationships between metabolites and neurobehavioral functions in the spinal cord after injury in rats. In the early metabolic phase, neuronal signaling, stress, and inflammation-associated metabolites were strongly altered. A dynamic inflammatory response consisting of elevated levels of prostaglandin E2 and palmitoyl ethanolamide as well as pro- and anti-inflammatory polyunsaturated fatty acids was observed. N-acetyl-aspartyl-glutamate (NAAG and N-acetyl-aspartate (NAA were significantly decreased possibly reflecting neuronal cell death. A second metabolic phase was also seen, consistent with membrane remodeling and antioxidant defense response. These metabolomic changes were consistent with the pathology and progression of SCI. Several metabolites, including NAA, NAAG, and the ω-3 fatty acids docosapentaenoate and docosahexaenoate correlated greatly with the established Basso, Beattie and Bresnahan locomotive score (BBB score. Our findings suggest the possibility of a biochemical basis for BBB score and illustrate that metabolites may correlate with neurobehavior. In particular the NAA level in the spinal cord might provide a meaningful biomarker that could help to determine the degree of injury severity and prognosticate neurologic recovery.

  18. How Childhood Maltreatment Profiles of Male Victims Predict Adult Perpetration and Psychosocial Functioning

    Science.gov (United States)

    Davis, Kelly Cue; Masters, N. Tatiana; Casey, Erin; Kajumulo, Kelly F.; Norris, Jeanette; George, William H.

    2016-01-01

    This study used latent class analysis to empirically identify subgroups of men based on their exposure to childhood maltreatment (i.e., emotional neglect and abuse, physical neglect and abuse, and sexual abuse). It then examined subgroups’ differential perpetration of adult intimate partner violence (both psychological and physical), violence against peers, and sexual assault. Finally, we compared socio-demographic variables and psychosocial functioning across profiles to characterize the adult experiences of men in different maltreatment groups. The community sample consisted of 626 heterosexually active 21–30 year old men. We identified four subgroups: Low Maltreatment (80% of the sample), Emotional and Physical Maltreatment (12%), Emotional and Sexual Maltreatment (4%), and Poly-victimized (4%). The Low Maltreatment group had significantly lower IPV perpetration rates than the Emotional and Physical Maltreatment group, but groups did not significantly differ on peer violence or sexual assault perpetration rates. Overall, Poly-victimized men were significantly worse off than the Low Maltreatment group regarding income, education level, and incarceration history. Their rates of recent anxiety and depression symptoms were also higher than those of Low Maltreatment men. Findings support the use of person-oriented techniques for deriving patterns of childhood maltreatment and how these patterns relate to psychological, behavioral, and social factors in adulthood. PMID:26590221

  19. Transcriptional and functional profiling of human embryonic stem cell-derived cardiomyocytes.

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    Feng Cao

    Full Text Available Human embryonic stem cells (hESCs can serve as a potentially limitless source of cells that may enable regeneration of diseased tissue and organs. Here we investigate the use of human embryonic stem cell-derived cardiomyocytes (hESC-CMs in promoting recovery from cardiac ischemia reperfusion injury in a mouse model. Using microarrays, we have described the hESC-CM transcriptome within the spectrum of changes that occur between undifferentiated hESCs and fetal heart cells. The hESC-CMs expressed cardiomyocyte genes at levels similar to those found in 20-week fetal heart cells, making this population a good source of potential replacement cells in vivo. Echocardiographic studies showed significant improvement in heart function by 8 weeks after transplantation. Finally, we demonstrate long-term engraftment of hESC-CMs by using molecular imaging to track cellular localization, survival, and proliferation in vivo. Taken together, global gene expression profiling of hESC differentiation enables a systems-based analysis of the biological processes, networks, and genes that drive hESC fate decisions, and studies such as this will serve as the foundation for future clinical applications of stem cell therapies.

  20. Despite differential gene expression profiles pediatric MDS derived mesenchymal stromal cells display functionality in vitro.

    Science.gov (United States)

    Calkoen, F G J; Vervat, C; van Pel, M; de Haas, V; Vijfhuizen, L S; Eising, E; Kroes, W G M; 't Hoen, P A C; van den Heuvel-Eibrink, M M; Egeler, R M; van Tol, M J D; Ball, L M

    2015-03-01

    Pediatric myelodysplastic syndrome (MDS) is a heterogeneous disease covering a spectrum ranging from aplasia (RCC) to myeloproliferation (RAEB(t)). In adult-type MDS there is increasing evidence for abnormal function of the bone-marrow microenvironment. Here, we extensively studied the mesenchymal stromal cells (MSCs) derived from children with MDS. MSCs were expanded from the bone-marrow of 17 MDS patients (RCC: n=10 and advanced MDS: n=7) and pediatric controls (n=10). No differences were observed with respect to phenotype, differentiation capacity, immunomodulatory capacity or hematopoietic support. mRNA expression analysis by Deep-SAGE revealed increased IL-6 expression in RCC- and RAEB(t)-MDS. RCC-MDS MSC expressed increased levels of DKK3, a protein associated with decreased apoptosis. RAEB(t)-MDS revealed increased CRLF1 and decreased DAPK1 expressions. This pattern has been associated with transformation in hematopoietic malignancies. Genes reported to be differentially expressed in adult MDS-MSC did not differ between MSC of pediatric MDS and controls. An altered mRNA expression profile, associated with cell survival and malignant transformation, of MSC derived from children with MDS strengthens the hypothesis that the micro-environment is of importance in this disease. Our data support the understanding that pediatric and adult MDS are two different diseases. Further evaluation of the pathways involved might reveal additional therapy targets. Copyright © 2015. Published by Elsevier B.V.

  1. Molecular Profiling Predicts the Existence of Two Functionally Distinct Classes of Ovarian Cancer Stroma

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    Loukia N. Lili

    2013-01-01

    Full Text Available Although stromal cell signaling has been shown to play a significant role in the progression of many cancers, relatively little is known about its importance in modulating ovarian cancer development. The purpose of this study was to investigate the process of stroma activation in human ovarian cancer by molecular analysis of matched sets of cancer and surrounding stroma tissues. RNA microarray profiling of 45 tissue samples was carried out using the Affymetrix (U133 Plus 2.0 gene expression platform. Laser capture microdissection (LCM was employed to isolate cancer cells from the tumors of ovarian cancer patients (Cepi and matched sets of surrounding cancer stroma (CS. For controls, ovarian surface epithelial cells (OSE were isolated from the normal (noncancerous ovaries and normal stroma (NS. Hierarchical clustering of the microarray data resulted in clear separations between the OSE, Cepi, NS, and CS samples. Expression patterns of genes encoding signaling molecules and compatible receptors in the CS and Cepi samples indicate the existence of two subgroups of cancer stroma (CS with different propensities to support tumor growth. Our results indicate that functionally significant variability exists among ovarian cancer patients in the ability of the microenvironment to modulate cancer development.

  2. Molecular profiling predicts the existence of two functionally distinct classes of ovarian cancer stroma.

    Science.gov (United States)

    Lili, Loukia N; Matyunina, Lilya V; Walker, L DeEtte; Benigno, Benedict B; McDonald, John F

    2013-01-01

    Although stromal cell signaling has been shown to play a significant role in the progression of many cancers, relatively little is known about its importance in modulating ovarian cancer development. The purpose of this study was to investigate the process of stroma activation in human ovarian cancer by molecular analysis of matched sets of cancer and surrounding stroma tissues. RNA microarray profiling of 45 tissue samples was carried out using the Affymetrix (U133 Plus 2.0) gene expression platform. Laser capture microdissection (LCM) was employed to isolate cancer cells from the tumors of ovarian cancer patients (Cepi) and matched sets of surrounding cancer stroma (CS). For controls, ovarian surface epithelial cells (OSE) were isolated from the normal (noncancerous) ovaries and normal stroma (NS). Hierarchical clustering of the microarray data resulted in clear separations between the OSE, Cepi, NS, and CS samples. Expression patterns of genes encoding signaling molecules and compatible receptors in the CS and Cepi samples indicate the existence of two subgroups of cancer stroma (CS) with different propensities to support tumor growth. Our results indicate that functionally significant variability exists among ovarian cancer patients in the ability of the microenvironment to modulate cancer development.

  3. Functional profile of patients with temporomandibular joint dysfunction under physiotherapy treatment

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    Andrezza Pinheiro Bezerra de Menezes Kinote

    2011-12-01

    Full Text Available Objectives: To assess the functional profile of patients with temporomandibular joint dysfunction (TMJD receiving physical therapy. Methods: A cross-sectional study carried with 21 patients receiving physiotherapy care during the year of 2007 at the Center for Integrated Medical Care (Núcleo de Atenção Médica Integrada - NAMI, in Fortaleza-CE, Brazil. Those were submitted to anamnesis (age, presence of pain, affected sites and parafunctional habits and functional assessment (presence of trigger points, movement amplitude and postural evaluation. Results: The age varied from 16 to 56 years, with an average of 31.3 ± 14.85 and female gender was the most affected with 17 (81.0% patients. Of the assessed patients, 13 (61.9% presented pain of moderate intensity, with an average of 5.4 ± 0.50. The most common sites of pain were the temporomandibular joint (TMJ, reported by 15 (71.4%,and cervical region, reported by 13 (61.9% patients. We found that 13 (61.9% assessed patients reported clenching as parafunctional habit. Significant limitation of mouth opening and movements of the cervical region were observed when compared to normal values (p <0.05. The most painful muscles on palpation were upper trapezius (n=19, medial pterygoid (n=15 and the masseter (n=15. The TMJ presented strong pain (degree 3 on palpation in 3 (14.3% patients. In postural assessment, 10 (47.6% had cervical hyperlordosis, 7 (33% had forward head posture and 7 (33% had raised shoulders. Conclusion: Patients with TMJD receiving physical therapy present limitations in TMJ and cervical movement, pain, presence of trigger points and postural changes at a more compromised and symptomatic stage of this dysfunction. In view of this, it becomes necessary to provide early evaluation and treatment with physical therapy.

  4. Functional profile of patients with temporomandibular joint dysfunction under physiotherapy treatment -

    Directory of Open Access Journals (Sweden)

    Andrezza Pinheiro Bezerra de Menezes Kinote

    2012-01-01

    Full Text Available Objectives: To assess the functional profile of patients with temporomandibular joint dysfunction (TMJD receiving physical therapy. Methods: A cross-sectional study carried with 21 patients receiving physiotherapy care during the year of 2007 at the Center for Integrated Medical Care (Núcleo de Atenção Médica Integrada - NAMI, in Fortaleza-CE, Brazil. Those were submitted to anamnesis (age, presence of pain, affected sites and parafunctional habits and functional assessment (presence of trigger points, movement amplitude and postural evaluation. Results: The age varied from 16 to 56 years, with an average of 31.3 ± 14.85 and female gender was the most affected with 17 (81.0% patients. Of the assessed patients, 13 (61.9% presented pain of moderate intensity, with an average of 5.4 ± 0.50. The most common sites of pain were the temporomandibular joint (TMJ, reported by 15 (71.4%, and cervical region, reported by 13 (61.9% patients. We found that 13 (61.9% assessed patients reported clenching as parafunctional habit. Significant limitation of mouth opening and movements of the cervical region were observed when compared to normal values (p <0.05. The most painful muscles on palpation were upper trapezius (n=19, medial pterygoid (n=15 and the masseter (n=15. The TMJ presented strong pain (degree 3 on palpation in 3 (14.3% patients. In postural assessment, 10 (47.6% had cervical hyperlordosis, 7 (33% had forward head posture and 7 (33% had raised shoulders. Conclusion: Patients with TMJD receiving physical therapy present limitations in TMJ and cervical movement, pain, presence of trigger points and postural changes at a more compromised and symptomatic stage of this dysfunction. In view of this, it becomes necessary to provide early evaluation and treatment with physical therapy.

  5. Sensory Processing in Low-Functioning Adults with Autism Spectrum Disorder: Distinct Sensory Profiles and Their Relationships with Behavioral Dysfunction

    Science.gov (United States)

    Gonthier, Corentin; Longuépée, Lucie; Bouvard, Martine

    2016-01-01

    Sensory processing abnormalities are relatively universal in individuals with autism spectrum disorder, and can be very disabling. Surprisingly, very few studies have investigated these abnormalities in low-functioning adults with autism. The goals of the present study were (a) to characterize distinct profiles of sensory dysfunction, and (b) to…

  6. SUPPLY CHAIN MANAGERS: PROFESSIONAL PROFILE AND THE ROLE IN THE CROSS-FUNCTIONAL INTEGRATION OF SUPPLY CHAIN MANAGEMENT

    OpenAIRE

    Andréia de Abreu; Rosane Lúcia Chicarelli Alcântara

    2015-01-01

    Supply Chain Management can be seen as a way to achieve integration of all corporate functions. In practice, Supply Chain Management is complex and characterized by numerous activities spread over multiple functions and organizations, which pose challenges to reach effective implementation. Based on literature review, the objective of this paper is to present the theoretical indications regarding professional profile recommended for the Supply Chain Management and discuss the role of these pr...

  7. Severity of the aggression/anxiety-depression/attention child behavior checklist profile discriminates between different levels of deficits in emotional regulation in youth with attention-deficit hyperactivity disorder.

    Science.gov (United States)

    Biederman, Joseph; Petty, Carter R; Day, Helen; Goldin, Rachel L; Spencer, Thomas; Faraone, Stephen V; Surman, Craig B H; Wozniak, Janet

    2012-04-01

    We examined whether severity scores (1 SD vs 2 SDs) of a unique profile of the Child Behavior Checklist (CBCL) consisting of the Anxiety/Depression, Aggression, and Attention (AAA) scales would help differentiate levels of deficits in children with attention-deficit hyperactivity disorder (ADHD). Subjects were 197 children with ADHD and 224 without ADHD. We defined deficient emotional self-regulation (DESR) as an aggregate cutoff score of >180 but siblings. In contrast, the CBCL-DESR was associated with higher rates of comorbid disruptive behavior, anxiety disorders, and impaired interpersonal functioning compared with other ADHD children. Severity scores of the AAA CBCL profiles can help distinguish 2 groups of emotional regulation problems in children with ADHD.

  8. Metataxonomic profiling and prediction of functional behaviour of wheat straw degrading microbial consortia.

    Science.gov (United States)

    Jiménez, Diego Javier; Dini-Andreote, Francisco; van Elsas, Jan Dirk

    2014-01-01

    Mixed microbial cultures, in which bacteria and fungi interact, have been proposed as an efficient way to deconstruct plant waste. The characterization of specific microbial consortia could be the starting point for novel biotechnological applications related to the efficient conversion of lignocellulose to cello-oligosaccharides, plastics and/or biofuels. Here, the diversity, composition and predicted functional profiles of novel bacterial-fungal consortia are reported, on the basis of replicated aerobic wheat straw enrichment cultures. In order to set up biodegradative microcosms, microbial communities were retrieved from a forest soil and introduced into a mineral salt medium containing 1% of (un)treated wheat straw. Following each incubation step, sequential transfers were carried out using 1 to 1,000 dilutions. The microbial source next to three sequential batch cultures (transfers 1, 3 and 10) were analyzed by bacterial 16S rRNA gene and fungal ITS1 pyrosequencing. Faith's phylogenetic diversity values became progressively smaller from the inoculum to the sequential batch cultures. Moreover, increases in the relative abundances of Enterobacteriales, Pseudomonadales, Flavobacteriales and Sphingobacteriales were noted along the enrichment process. Operational taxonomic units affiliated with Acinetobacter johnsonii, Pseudomonas putida and Sphingobacterium faecium were abundant and the underlying strains were successfully isolated. Interestingly, Klebsiella variicola (OTU1062) was found to dominate in both consortia, whereas K. variicola-affiliated strains retrieved from untreated wheat straw consortia showed endoglucanase/xylanase activities. Among the fungal players with high biotechnological relevance, we recovered members of the genera Penicillium, Acremonium, Coniochaeta and Trichosporon. Remarkably, the presence of peroxidases, alpha-L-fucosidases, beta-xylosidases, beta-mannases and beta-glucosidases, involved in lignocellulose degradation, was indicated

  9. Training on Movement Figure-Ground Discrimination Remediates Low-Level Visual Timing Deficits in the Dorsal Stream, Improving High-Level Cognitive Functioning, Including Attention, Reading Fluency, and Working Memory

    Science.gov (United States)

    Lawton, Teri; Shelley-Tremblay, John

    2017-01-01

    The purpose of this study was to determine whether neurotraining to discriminate a moving test pattern relative to a stationary background, figure-ground discrimination, improves vision and cognitive functioning in dyslexics, as well as typically-developing normal students. We predict that improving the speed and sensitivity of figure-ground movement discrimination (PATH to Reading neurotraining) acts to remediate visual timing deficits in the dorsal stream, thereby improving processing speed, reading fluency, and the executive control functions of attention and working memory in both dyslexic and normal students who had PATH neurotraining more than in those students who had no neurotraining. This prediction was evaluated by measuring whether dyslexic and normal students improved on standardized tests of cognitive skills following neurotraining exercises, more than following computer-based guided reading (Raz-Kids (RK)). The neurotraining used in this study was visually-based training designed to improve magnocellular function at both low and high levels in the dorsal stream: the input to the executive control networks coding working memory and attention. This approach represents a paradigm shift from the phonologically-based treatment for dyslexia, which concentrates on high-level speech and reading areas. This randomized controlled-validation study was conducted by training the entire second and third grade classrooms (42 students) for 30 min twice a week before guided reading. Standardized tests were administered at the beginning and end of 12-weeks of intervention training to evaluate improvements in academic skills. Only movement-discrimination training remediated both low-level visual timing deficits and high-level cognitive functioning, including selective and sustained attention, reading fluency and working memory for both dyslexic and normal students. Remediating visual timing deficits in the dorsal stream revealed the causal role of visual movement

  10. Training on Movement Figure-Ground Discrimination Remediates Low-Level Visual Timing Deficits in the Dorsal Stream, Improving High-Level Cognitive Functioning, Including Attention, Reading Fluency, and Working Memory.

    Science.gov (United States)

    Lawton, Teri; Shelley-Tremblay, John

    2017-01-01

    The purpose of this study was to determine whether neurotraining to discriminate a moving test pattern relative to a stationary background, figure-ground discrimination, improves vision and cognitive functioning in dyslexics, as well as typically-developing normal students. We predict that improving the speed and sensitivity of figure-ground movement discrimination (PATH to Reading neurotraining) acts to remediate visual timing deficits in the dorsal stream, thereby improving processing speed, reading fluency, and the executive control functions of attention and working memory in both dyslexic and normal students who had PATH neurotraining more than in those students who had no neurotraining. This prediction was evaluated by measuring whether dyslexic and normal students improved on standardized tests of cognitive skills following neurotraining exercises, more than following computer-based guided reading (Raz-Kids (RK)). The neurotraining used in this study was visually-based training designed to improve magnocellular function at both low and high levels in the dorsal stream: the input to the executive control networks coding working memory and attention. This approach represents a paradigm shift from the phonologically-based treatment for dyslexia, which concentrates on high-level speech and reading areas. This randomized controlled-validation study was conducted by training the entire second and third grade classrooms (42 students) for 30 min twice a week before guided reading. Standardized tests were administered at the beginning and end of 12-weeks of intervention training to evaluate improvements in academic skills. Only movement-discrimination training remediated both low-level visual timing deficits and high-level cognitive functioning, including selective and sustained attention, reading fluency and working memory for both dyslexic and normal students. Remediating visual timing deficits in the dorsal stream revealed the causal role of visual movement

  11. Training on Movement Figure-Ground Discrimination Remediates Low-Level Visual Timing Deficits in the Dorsal Stream, Improving High-Level Cognitive Functioning, Including Attention, Reading Fluency, and Working Memory

    Directory of Open Access Journals (Sweden)

    Teri Lawton

    2017-05-01

    Full Text Available The purpose of this study was to determine whether neurotraining to discriminate a moving test pattern relative to a stationary background, figure-ground discrimination, improves vision and cognitive functioning in dyslexics, as well as typically-developing normal students. We predict that improving the speed and sensitivity of figure-ground movement discrimination (PATH to Reading neurotraining acts to remediate visual timing deficits in the dorsal stream, thereby improving processing speed, reading fluency, and the executive control functions of attention and working memory in both dyslexic and normal students who had PATH neurotraining more than in those students who had no neurotraining. This prediction was evaluated by measuring whether dyslexic and normal students improved on standardized tests of cognitive skills following neurotraining exercises, more than following computer-based guided reading (Raz-Kids (RK. The neurotraining used in this study was visually-based training designed to improve magnocellular function at both low and high levels in the dorsal stream: the input to the executive control networks coding working memory and attention. This approach represents a paradigm shift from the phonologically-based treatment for dyslexia, which concentrates on high-level speech and reading areas. This randomized controlled-validation study was conducted by training the entire second and third grade classrooms (42 students for 30 min twice a week before guided reading. Standardized tests were administered at the beginning and end of 12-weeks of intervention training to evaluate improvements in academic skills. Only movement-discrimination training remediated both low-level visual timing deficits and high-level cognitive functioning, including selective and sustained attention, reading fluency and working memory for both dyslexic and normal students. Remediating visual timing deficits in the dorsal stream revealed the causal role of visual

  12. INDIVIDUAL PROFILE OF FUNCTIONAL HEMISPHERIC ASYMMETRY AND QUALITY OF LIFE IN PATIENTS WITH PARKINSON'S DISEASE

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    M. A. Bykanova

    2014-07-01

    Full Text Available Objective — to identify the relationship between the individual profile of functional hemispheric asymmetry (IPFA and lateralization of the Parkinson's disease (PD debut, as well as assess of their impact on anxiety and depressive disorders and quality of life of patients.Materials and methods. 70 patients with PD (28 men and 42 women, average age 63,1 ± 8,1 years with disease duration 48 [36, 72] months (Me [25 %; 75 %] were included. We used Hoehn and Yahr, UPDRS, EuroQol, PDQ-39 scales, scale of anxiety and Spielberger–Hanin Hamilton Depression. IPFA was determined using the protocol survey of 48 jobs during the period of inclusion of patients in the study.Results. In patients with right-sided IPFA right-sided debut of PD was more common (p < 0.05 and in patients with mixed IPFA — leftsided(p < 0.05 PD debut. There were no significant differences in levels of reactive, personal anxiety and depression at different IPFA dependingon the side of PD debut (p > 0.05 received. Quality of life scale PDQ-39 showed worse results in patients with right-in right IPFA debut in comparison with those in patients with left debut (p < 0.05. Quality of life by EuroQol-II scale was higher in patients with rightsided IPFA with the left debut of PD than in patients with right-debut (p < 0.05, and in patients with mixed IPFA with right debut compared to patients with left debut (p < 0.05.Conclusion. With the debut of PD in leading limb and preferential involvement of the dominant hemisphere poorer quality of life was observed. IPFA and clinical asymmetry did not affect on the level of anxiety and depressive disorders, which were revealed in more than twothirds of patients with PD.

  13. INDIVIDUAL PROFILE OF FUNCTIONAL HEMISPHERIC ASYMMETRY AND QUALITY OF LIFE IN PATIENTS WITH PARKINSON'S DISEASE

    Directory of Open Access Journals (Sweden)

    M. A. Bykanova

    2011-01-01

    Full Text Available Objective — to identify the relationship between the individual profile of functional hemispheric asymmetry (IPFA and lateralization of the Parkinson's disease (PD debut, as well as assess of their impact on anxiety and depressive disorders and quality of life of patients.Materials and methods. 70 patients with PD (28 men and 42 women, average age 63,1 ± 8,1 years with disease duration 48 [36, 72] months (Me [25 %; 75 %] were included. We used Hoehn and Yahr, UPDRS, EuroQol, PDQ-39 scales, scale of anxiety and Spielberger–Hanin Hamilton Depression. IPFA was determined using the protocol survey of 48 jobs during the period of inclusion of patients in the study.Results. In patients with right-sided IPFA right-sided debut of PD was more common (p < 0.05 and in patients with mixed IPFA — leftsided(p < 0.05 PD debut. There were no significant differences in levels of reactive, personal anxiety and depression at different IPFA dependingon the side of PD debut (p > 0.05 received. Quality of life scale PDQ-39 showed worse results in patients with right-in right IPFA debut in comparison with those in patients with left debut (p < 0.05. Quality of life by EuroQol-II scale was higher in patients with rightsided IPFA with the left debut of PD than in patients with right-debut (p < 0.05, and in patients with mixed IPFA with right debut compared to patients with left debut (p < 0.05.Conclusion. With the debut of PD in leading limb and preferential involvement of the dominant hemisphere poorer quality of life was observed. IPFA and clinical asymmetry did not affect on the level of anxiety and depressive disorders, which were revealed in more than twothirds of patients with PD.

  14. Circulating rotavirus-specific T cells have a poor functional profile

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    Parra, Miguel; Herrera, Daniel [Instituto de Genética Humana, Facultad de Medicina, Pontificia Universidad Javeriana, Pontificia Universidad Javeriana, Carrera 7 # 40-62, Bogotá (Colombia); Jácome, María Fernanda; Mesa, Martha C. [Departamento de Microbiología, Facultad de Ciencias, Pontificia Universidad Javeriana, Bogotá (Colombia); Rodríguez, Luz-Stella [Instituto de Genética Humana, Facultad de Medicina, Pontificia Universidad Javeriana, Pontificia Universidad Javeriana, Carrera 7 # 40-62, Bogotá (Colombia); Guzmán, Carolina [Departamento de Pediatría, Hospital Universitario San Ignacio, Facultad de Medicina, Pontificia Universidad Javeriana, Bogotá (Colombia); Angel, Juana; Franco, Manuel A. [Instituto de Genética Humana, Facultad de Medicina, Pontificia Universidad Javeriana, Pontificia Universidad Javeriana, Carrera 7 # 40-62, Bogotá (Colombia)

    2014-11-15

    Frequencies of circulating T cells producing IFN-γ, TNF-α, and IL-2, and percentages of T cells proliferating after stimulation with rotavirus (RV), tetanus toxoid, and influenza were evaluated in PBMC derived from healthy adults and children. In addition, the potential anergic state of RV-specific T cells was analyzed by stimulation of PBMC with RV antigen in the presence of three anergy inhibitors (rIL-2, rIL-12, or DGKα-i). The quality and magnitude of RV-T cell responses were significantly lower than those of tetanus toxoid and influenza antigens. RV-CD4 T cell response was enriched in monofunctional IFN-γ{sup +} cells, while influenza-CD4 and tetanus toxoid-CD4 T cell responses were enriched in multifunctional T cells. Moreover, rIL-2 – unlike rIL-12 or DGKα-i – increased the frequencies of RV-CD4 TNF-α{sup +}, CD4 IFN-γ{sup +}, and CD8 IFN-γ{sup +} cells. Thus, circulating RV-T cells seem to have a relatively poor functional profile that may be partially reversed in vitro by the addition of rIL-2. - Highlights: • The quality and magnitude of circulating RV-T cell responses are relatively poor. • Circulating RV-CD4 T cells are enriched in monofunctional IFN-γ+ cells. • Treatment with rIL-2 increased the frequencies of cytokine secreting RV-T cells.

  15. Proteomic Profiles Reveal the Function of Different Vegetative Tissues of Moringa oleifera.

    Science.gov (United States)

    Wang, Lei; Zou, Qiong; Wang, Jinxing; Zhang, Junjie; Liu, Zeping; Chen, Xiaoyang

    2016-12-01

    Moringa oleifera is a rich source of bioactive compounds and is widely used in traditional medicine and food for its nutritional value; however, the protein and peptide components of different tissues are rarely discussed. Here, we describe the first investigation of M. oleifera proteomes using mass spectrometry and bioinformatics methods. We aimed to elucidate the protein profiles of M. oleifera leaves, stem, bark, and root. Totally 202 proteins were identified from four vegetative organs. We identified 101 proteins from leaves, 51 from stem, 94 from bark and 67 from root, finding that only five proteins existed in both four vegetative parts. The calculated pI of most of the proteins is distributed in 5-10 and the molecular weight distributed below 100 kDa. Functional classification analysis revealed that proteins which are involved in catalytic activities are the most abundant both in leaves, stem, bark and root. Identification of several heat shock proteins in four vegetative tissues might be adaptive for resistance to high temperature environmental stresses of tropical or subtropical areas. Some enzymes involved in antioxidant processes were also identified in M. oleifera leaves, stem, bark and root. Among the four tissues studies here, leaves protein content and molecular diversity were the highest. The identification of the flocculating protein MO2.1 and MO2.2 in the bark and root provides clue to clarify the antimicrobial molecular mechanisms of root and bark. This study provides information on the protein compositions of M. oleifera vegetative tissues that will be beneficial for potential drug and food supplement development and plant physiology research.

  16. DNA Replication Stress Phosphoproteome Profiles Reveal Novel Functional Phosphorylation Sites on Xrs2 in Saccharomyces cerevisiae.

    Science.gov (United States)

    Huang, Dongqing; Piening, Brian D; Kennedy, Jacob J; Lin, Chenwei; Jones-Weinert, Corey W; Yan, Ping; Paulovich, Amanda G

    2016-05-01

    In response to replication stress, a phospho-signaling cascade is activated and required for coordination of DNA repair and replication of damaged templates (intra-S-phase checkpoint) . How phospho-signaling coordinates the DNA replication stress response is largely unknown. We employed state-of-the-art liquid chromatography tandem-mass spectrometry (LC-MS/MS) approaches to generate high-coverage and quantitative proteomic and phospho-proteomic profiles during replication stress in yeast, induced by continuous exposure to the DNA alkylating agent methyl methanesulfonate (MMS) . We identified 32,057 unique peptides representing the products of 4296 genes and 22,061 unique phosphopeptides representing the products of 3183 genes. A total of 542 phosphopeptides (mapping to 339 genes) demonstrated an abundance change of greater than or equal to twofold in response to MMS. The screen enabled detection of nearly all of the proteins known to be involved in the DNA damage response, as well as many novel MMS-induced phosphorylations. We assessed the functional importance of a subset of key phosphosites by engineering a panel of phosphosite mutants in which an amino acid substitution prevents phosphorylation. In total, we successfully mutated 15 MMS-responsive phosphorylation sites in seven representative genes including APN1 (base excision repair); CTF4 and TOF1 (checkpoint and sister-chromatid cohesion); MPH1 (resolution of homologous recombination intermediates); RAD50 and XRS2 (MRX complex); and RAD18 (PRR). All of these phosphorylation site mutants exhibited MMS sensitivity, indicating an important role in protecting cells from DNA damage. In particular, we identified MMS-induced phosphorylation sites on Xrs2 that are required for MMS resistance in the absence of the MRX activator, Sae2, and that affect telomere maintenance. Copyright © 2016 by the Genetics Society of America.

  17. Expression profile and function of Wnt signaling mechanisms in malignant mesothelioma cells

    Energy Technology Data Exchange (ETDEWEB)

    Fox, Simon A., E-mail: s.fox@curtin.edu.au [Molecular Pharmacology Laboratory, School of Pharmacy, Curtin Health Innovation Research Institute, Curtin University, Bentley, WA (Australia); Richards, Alex K.; Kusumah, Ivonne; Perumal, Vanathi [Molecular Pharmacology Laboratory, School of Pharmacy, Curtin Health Innovation Research Institute, Curtin University, Bentley, WA (Australia); Bolitho, Erin M. [Western Australian Institute for Medical Research, The University of Western Australia Centre for Medical Research, Perth, WA (Australia); Mutsaers, Steven E. [Lung Institute of Western Australia, Centre for Asthma Allergy and Respiratory Research, University of Western Australia, Nedlands (Australia); Centre for Cell Therapy and Regenerative Medicine, School of Medicine and Pharmacology, University of Western Australia and Western Australian Institute for Medical Research, Nedlands (Australia); Dharmarajan, Arun M. [School of Biomedical Sciences, Curtin Health Innovation Research Institute, Curtin University, Bentley, WA (Australia)

    2013-10-11

    Highlights: •Expression profile of Wnt pathway related genes in mesothelioma cells. •Differential expression of key Wnt pathway molecules and regulators. •Wnt3a stimulated mesothelioma growth whereas sFRP4 was inhibitory. •Targeting β-Catenin can sensitise mesothelioma cells to cytotoxic drugs. -- Abstract: Malignant mesothelioma (MM) is an uncommon and particularly aggressive cancer associated with asbestos exposure, which currently presents an intractable clinical challenge. Wnt signaling has been reported to play a role in the neoplastic properties of mesothelioma cells but has not been investigated in detail in this cancer. We surveyed expression of Wnts, their receptors, and other key molecules in this pathway in well established in vitro mesothelioma models in comparison with primary mesothelial cultures. We also tested the biological response of MM cell lines to exogenous Wnt and secreted regulators, as well as targeting β-catenin. We detected frequent expression of Wnt3 and Wnt5a, as well as Fzd 2, 4 and 6. The mRNA of Wnt4, Fzd3, sFRP4, APC and axin2 were downregulated in MM relative to mesothelial cells while LEF1 was overexpressed in MM. Functionally, we observed that Wnt3a stimulated MM proliferation while sFRP4 was inhibitory. Furthermore, directly targeting β-catenin expression could sensitise MM cells to cytotoxic drugs. These results provide evidence for altered expression of a number of Wnt/Fzd signaling molecules in MM. Modulation of Wnt signaling in MM may prove a means of targeting proliferation and drug resistance in this cancer.

  18. Analysis of temporal transcription expression profiles reveal links between protein function and developmental stages of Drosophila melanogaster.

    Science.gov (United States)

    Wan, Cen; Lees, Jonathan G; Minneci, Federico; Orengo, Christine A; Jones, David T

    2017-10-01

    Accurate gene or protein function prediction is a key challenge in the post-genome era. Most current methods perform well on molecular function prediction, but struggle to provide useful annotations relating to biological process functions due to the limited power of sequence-based features in that functional domain. In this work, we systematically evaluate the predictive power of temporal transcription expression profiles for protein function prediction in Drosophila melanogaster. Our results show significantly better performance on predicting protein function when transcription expression profile-based features are integrated with sequence-derived features, compared with the sequence-derived features alone. We also observe that the combination of expression-based and sequence-based features leads to further improvement of accuracy on predicting all three domains of gene function. Based on the optimal feature combinations, we then propose a novel multi-classifier-based function prediction method for Drosophila melanogaster proteins, FFPred-fly+. Interpreting our machine learning models also allows us to identify some of the underlying links between biological processes and developmental stages of Drosophila melanogaster.

  19. Analysis of temporal transcription expression profiles reveal links between protein function and developmental stages of Drosophila melanogaster.

    Directory of Open Access Journals (Sweden)

    Cen Wan

    2017-10-01

    Full Text Available Accurate gene or protein function prediction is a key challenge in the post-genome era. Most current methods perform well on molecular function prediction, but struggle to provide useful annotations relating to biological process functions due to the limited power of sequence-based features in that functional domain. In this work, we systematically evaluate the predictive power of temporal transcription expression profiles for protein function prediction in Drosophila melanogaster. Our results show significantly better performance on predicting protein function when transcription expression profile-based features are integrated with sequence-derived features, compared with the sequence-derived features alone. We also observe that the combination of expression-based and sequence-based features leads to further improvement of accuracy on predicting all three domains of gene function. Based on the optimal feature combinations, we then propose a novel multi-classifier-based function prediction method for Drosophila melanogaster proteins, FFPred-fly+. Interpreting our machine learning models also allows us to identify some of the underlying links between biological processes and developmental stages of Drosophila melanogaster.

  20. Assessing long-term effects of eslicarbazepine acetate on lipid metabolism profile, sodium values and liver function tests.

    Science.gov (United States)

    Ley, M; Principe, A; Jiménez-Conde, J; Rocamora, R

    2015-09-01

    Older dibenzazepines with a carboxamide substitution have been demonstrated to cause deleterious effects on lipid metabolism profile, as well as frequent hyponatremia. The aim of our study is to assess the effects of eslicarbazepine acetate, a novel AED, on lipid metabolism profile, sodium values and liver function tests, as well as to compare them with previous effects of carbamazepine and oxcarbazepine. This report describes a retrospective cohort study of 108 patients who were treated with eslicarbazepine. Of these patients, 52% had switched to eslicarbazepine from prior treatment with carbamazepine or oxcarbazepine. Laboratory values concerning lipid metabolism profile, liver function tests and sodium were assessed before and after beginning/switching treatment. Patients who began treatment or whose treatment for dyslipidemia was modified during the study period were excluded from the analysis. Co-medications that could impact lipid metabolism profile, sodium or hepatic function were kept stable during the study period. The mean total cholesterol of the entire group decreased significantly from prior pathological to normal values after beginning/switching treatment. The percentage of patients with pathological values decreased. Patients switching from prior carboxamides also showed significant reductions in mean LDL and triglycerides. Patients beginning treatment without prior carboxamides did not develop dyslipidemia after titration. A tendency for an increased percentage of patients with hyponatremia was detected in both groups. Compared with older carboxamides, eslicarbazepine acetate exhibits a safer profile related to lipid metabolism. No relevant changes were detected in liver function tests. Consequently, a vascular risk factor could be avoided in patients with chronic epilepsy, while hyponatremia still needs to be ruled out. Prospective studies are still needed. Copyright © 2015 Elsevier B.V. All rights reserved.

  1. Using Wavelet-Based Functional Mixed Models to Characterize Population Heterogeneity in Accelerometer Profiles: A Case Study

    Science.gov (United States)

    Morris, Jeffrey S.; Arroyo, Cassandra; Coull, Brent A.; Ryan, Louise M.; Herrick, Richard; Gortmaker, Steven L.

    2008-01-01

    Summary We present a case study illustrating the challenges of analyzing accelerometer data taken from a sample of children participating in an intervention study designed to increase physical activity. An accelerometer is a small device worn on the hip that records the minute-by-minute activity levels of the child throughout the day for each day it is worn. The resulting data are irregular functions characterized by many peaks representing short bursts of intense activity. We model these data using the wavelet-based functional mixed model. This approach incorporates multiple fixed effect and random effect functions of arbitrary form, the estimates of which are adaptively regularized using wavelet shrinkage. The method yields posterior samples for all functional quantities of the model, which can be used to perform various types of Bayesian inference and prediction. In our case study, a high proportion of the daily activity profiles are incomplete, i.e. have some portion of the profile missing, so cannot be directly modeled using the previously described method. We present a new method for stochastically imputing the missing data that allows us to incorporate these incomplete profiles in our analysis. Our approach borrows strength from both the observed measurements within the incomplete profiles and from other profiles, from the same child as well as other children with similar covariate levels, while appropriately propagating the uncertainty of the imputation throughout all subsequent inference. We apply this method to our case study, revealing some interesting insights into children's activity patterns. We point out some strengths and limitations of using this approach to analyze accelerometer data. PMID:19169424

  2. Discriminative Relational Topic Models.

    Science.gov (United States)

    Chen, Ning; Zhu, Jun; Xia, Fei; Zhang, Bo

    2015-05-01

    Relational topic models (RTMs) provide a probabilistic generative process to describe both the link structure and document contents for document networks, and they have shown promise on predicting network structures and discovering latent topic representations. However, existing RTMs have limitations in both the restricted model expressiveness and incapability of dealing with imbalanced network data. To expand the scope and improve the inference accuracy of RTMs, this paper presents three extensions: 1) unlike the common link likelihood with a diagonal weight matrix that allows the-same-topic interactions only, we generalize it to use a full weight matrix that captures all pairwise topic interactions and is applicable to asymmetric networks; 2) instead of doing standard Bayesian inference, we perform regularized Bayesian inference (RegBayes) with a regularization parameter to deal with the imbalanced link structure issue in real networks and improve the discriminative ability of learned latent representations; and 3) instead of doing variational approximation with strict mean-field assumptions, we present collapsed Gibbs sampling algorithms for the generalized relational topic models by exploring data augmentation without making restricting assumptions. Under the generic RegBayes framework, we carefully investigate two popular discriminative loss functions, namely, the logistic log-loss and the max-margin hinge loss. Experimental results on several real network datasets demonstrate the significance of these extensions on improving prediction performance.

  3. Discriminative learning for speech recognition

    CERN Document Server

    He, Xiadong

    2008-01-01

    In this book, we introduce the background and mainstream methods of probabilistic modeling and discriminative parameter optimization for speech recognition. The specific models treated in depth include the widely used exponential-family distributions and the hidden Markov model. A detailed study is presented on unifying the common objective functions for discriminative learning in speech recognition, namely maximum mutual information (MMI), minimum classification error, and minimum phone/word error. The unification is presented, with rigorous mathematical analysis, in a common rational-functio

  4. Profile of visual functioning as a bridge between education and medicine in the assessment of impaired vision.

    Science.gov (United States)

    Hyvärinen, Lea; Walthes, R; Freitag, C; Petz, V

    2012-06-01

    To report on the development of the Profile of Visual Functioning as a framework for information exchange between schools and medical specialists involved in the education or care of children with impaired vision due to brain damage. The role of vision loss in a child's functioning can be in part assessed by medical services, but in order to meet the needs of early intervention and education, numerous activities and tasks need to be observed during therapies, early intervention activities, and at local and special schools. Information on vision loss can be gathered effectively and shared between medicine and education using well-structured lists of the most important functions, the Profile of Visual Functioning. We describe a common type of list of vision-related functions and activities. Cooperation between education and medicine requires development of a common language and agreements on how the large amount of information is collected. A basic list of measurements and observations covers functions of most children and thus gives a firm structure to the information exchange. Lists of functions to be examined and activities to be observed, if used by all stakeholders, may improve the quality of assessments for early intervention and special education. At the same time, schools and hospitals need to jointly arrange further education so that the names of activities start to make sense to doctors and the medical terms to teachers.

  5. Profiles of Executive Function Across Children with Distinct Brain Disorders: Traumatic Brain Injury, Stroke, and Brain Tumor.

    Science.gov (United States)

    Araujo, Gabriel C; Antonini, Tanya N; Anderson, Vicki; Vannatta, Kathryn A; Salley, Christina G; Bigler, Erin D; Taylor, H Gerry; Gerhardt, Cynthia; Rubin, Kenneth; Dennis, Maureen; Lo, Warren; Mackay, Mark T; Gordon, Anne; Hajek Koterba, Christine; Gomes, Alison; Greenham, Mardee; Owen Yeates, Keith

    2017-08-01

    This study examined whether children with distinct brain disorders show different profiles of strengths and weaknesses in executive functions, and differ from children without brain disorder. Participants were children with traumatic brain injury (N=82; 8-13 years of age), arterial ischemic stroke (N=36; 6-16 years of age), and brain tumor (N=74; 9-18 years of age), each with a corresponding matched comparison group consisting of children with orthopedic injury (N=61), asthma (N=15), and classmates without medical illness (N=68), respectively. Shifting, inhibition, and working memory were assessed, respectively, using three Test of Everyday Attention: Children's Version (TEA-Ch) subtests: Creature Counting, Walk-Don't-Walk, and Code Transmission. Comparison groups did not differ in TEA-Ch performance and were merged into a single control group. Profile analysis was used to examine group differences in TEA-Ch subtest scaled scores after controlling for maternal education and age. As a whole, children with brain disorder performed more poorly than controls on measures of executive function. Relative to controls, the three brain injury groups showed significantly different profiles of executive functions. Importantly, post hoc tests revealed that performance on TEA-Ch subtests differed among the brain disorder groups. Results suggest that different childhood brain disorders result in distinct patterns of executive function deficits that differ from children without brain disorder. Implications for clinical practice and future research are discussed. (JINS, 2017, 23, 529-538).

  6. Finding success in failure: using latent profile analysis to examine heterogeneity in psychosocial functioning among heavy drinkers following treatment.

    Science.gov (United States)

    Wilson, Adam D; Bravo, Adrian J; Pearson, Matthew R; Witkiewitz, Katie

    2016-12-01

    To estimate differences in post-treatment psychosocial functioning among treatment 'failures' (i.e. heavy drinkers, defined as 4+/5+ drinks for women/men) from two large multi-site clinical trials and to compare these levels of functioning to those of the purported treatment 'successes' (i.e. non-heavy drinkers). Separate latent profile analyses of data from two of the largest alcohol clinical trials conducted in the United States, COMBINE (Combined Pharmacotherapies and Behavioral Interventions) and Project MATCH (Matching Alcoholism Treatments to Client Heterogeneity), comparing psychosocial outcomes across derived classes of heterogeneous treatment responders. Eleven US academic sites in COMBINE, 27 US treatment sites local to nine research sites in Project MATCH. A total of 962 individuals in COMBINE (69% male, 77% white, mean age: 44 years) treated January 2001 to January 2004 and 1528 individuals in Project MATCH (75% male, 80% white, mean age: 40 years) treated April 1991 to September 1994. In COMBINE, we analyzed health, quality of life, mental health symptoms and alcohol consequences 12 months post-baseline. In Project MATCH, we examined social functioning, mental health symptoms and alcohol consequences 15 months post-baseline. Latent profile analysis of measures of functioning in both samples supported a three-profile solution for the group of treatment 'failures', characterized by high-, average- and low-functioning individuals. The high-functioning treatment 'failures' generally performed better across measures of psychosocial functioning at follow-up than participants designated treatment 'successes' by virtue of being abstainers or light drinkers. Current United States Food and Drug Administration guidance to use heavy drinking as indicative of treatment 'failure' fails to take into account substantial psychosocial improvements made by individuals who continue occasionally to drink heavily post-treatment. © 2016 Society for the Study of Addiction.

  7. Gender Differences in the Association between Lipid Profile and Sexual Function among Patients with Coronary Artery Disease

    Directory of Open Access Journals (Sweden)

    Shervin Assari

    2014-03-01

    Full Text Available Background: Although several studies have been conducted on the association between lipid profile and sexual function among men with coronary artery disease, there is a paucity of knowledge about this association among women with coronary artery disease. Objectives: Our study aimed to evaluate the link between lipid profile and sexual function in men and women with coronary artery disease. Methods: One hundred and twenty patients with documented coronary artery disease were consecutively sampled from an outpatient cardiovascular clinic. The patients were assessed for lipid profile and sexual relationship using the Relation and Sexuality Scale (RSS. In addition, the Hospital Anxiety and Depression Scale (HADS was used to measure the symptoms of anxiety and depression. The characteristics of chest pain were also measured using the Rose Angina Questionnaire. The data were analyzed through linear regression analysis. Results: This study was conducted on 91 males (75.8% and 29 females (24.2%. Multivariate analysis showed that low-density lipoprotein cholesterol was correlated with sexual function (B = 0.01, P = 0.010 and total sexual relationship (B = 0.01, P = 0.050. A correlation was also observed between the level of high-density lipoprotein and sexual frequency score (B = -0.02, P = 0.040. Gender moderated these correlations. Among males, serum cholesterol (r = 0.193, P = 0.047 and low-density lipoprotein (r = 0.224, P = 0.037 were correlated to sexual function. In females, however, low-density lipoprotein was correlated to the total sexual relationship (r = 0.426, P = 0.021 and high-density lipoprotein was correlated to sexual frequency (r = -0.334, P = 0.046. Conclusions: The findings of this study showed a relationship between lipid profile and sexual relationship among both male and female patients with coronary artery disease. The link between lipid profile and sexual function of the patients with coronary artery disease is thus beyond just

  8. LABOR DISCRIMINATION IN BULGARIA

    Directory of Open Access Journals (Sweden)

    Vyara Slavyanska

    2017-03-01

    Full Text Available Labor discrimination is a phenomenon with very serious social and economic consequences, which has increased actuality and importance in Bulgaria nowadays. Because of the high price of discrimination, building effective anti-discrimination legislation occupies a special place in the policy of the European Union. Despite the European directives, the presence of anti-discrimination legislation and the broadly declared anti-discrimination inclinations in our country, these are absolutely not enough for providing environment of equality, with a climate of respect and tolerance to the differences. It turns out that certain groups are definitely victims of labor discrimination. In this connection the present article consecutively identifies these groups, as well as the reasons for their discrimination, underlining the necessity and benefits of the integration of the different.

  9. Chemical profile and defensive function of the latex of Euphorbia peplus.

    Science.gov (United States)

    Hua, Juan; Liu, Yan; Xiao, Chao-Jiang; Jing, Shu-Xi; Luo, Shi-Hong; Li, Sheng-Hong

    2017-04-01

    Plant latex is an endogenous fluid secreted from highly specialized laticifer cells and has been suggested to act as a plant defense system. The chemical profile of the latex of Euphorbia peplus was investigated. A total of 13 terpenoids including two previously unknown diterpenoids, (2S*,3S*,4R*,5R*,6R*,8R*,l1R*,13S*,14S*,15R*, 16R*)-5,8,15-triacetoxy-3-benzoyloxy-11,16-dihydroxy-9-oxopepluane and (2R*,3R*, 4S*,5R*,7S*,8S*,9S*,l3S*,14S*,15R*)-2,5,8,9,14-pentaacetoxy-3-benzoyloxy-15-hydroxy-7-isobutyroyloxyjatropha-6(17),11E-diene), ten known diterpenoids, and a known acyclic triterpene alcohol peplusol, were identified, using HPLC and UPLC-MS/MS analyses and through comparison with the authentic compounds isolated from the whole plant. The diterpenoids exhibited significant antifeedant activity against a generalist plant-feeding insect, the cotton bollworm (Helicoverpa armigera), with EC 50 values ranging from 0.36 to 4.60 μg/cm 2 . In particular, (2R*,3R*,4S*,5R*,7S*,8S*,9S*,l3S*,14S*,15R*)-2,5,9,14-tetraacetoxy-3-benzoyloxy-8,15-dihydroxy-7-isobutyroyloxyjatropha-6(17),11E-diene and (2R*,3R*, 4S*,5R*,7S*,8S*,9S*,l3S*,14S*,15R*)-2,5,14-triacetoxy-3-benzoyloxy-8,15-dihydroxy-7-isobutyroyloxy-9-nicotinoyloxyjatropha-6(17),11E-diene had EC 50 values of 0.36 and 0.43 μg/cm 2 , respectively, which were approximately 7-fold more potent than commercial neem oil (EC 50  = 2.62 μg/cm 2 ). In addition, the major peplusol showed obvious antifungal activity against three strains of agricultural phytopathogenic fungi, Rhizoctonia solani, Colletotrichum litchi and Fusarium oxysporum f. sp. niveum. The results indicated that terpenoids in the latex of E. peplus are rich and highly diversified, and might function as constitutive defense metabolites against insect herbivores and pathogens for the plant. Copyright © 2016 Elsevier Ltd. All rights reserved.

  10. Introduction to multivariate discrimination

    Directory of Open Access Journals (Sweden)

    Kégl Balázs

    2013-07-01

    Full Text Available Multivariate discrimination or classification is one of the best-studied problem in machine learning, with a plethora of well-tested and well-performing algorithms. There are also several good general textbooks [1–9] on the subject written to an average engineering, computer science, or statistics graduate student; most of them are also accessible for an average physics student with some background on computer science and statistics. Hence, instead of writing a generic introduction, we concentrate here on relating the subject to a practitioner experimental physicist. After a short introduction on the basic setup (Section 1 we delve into the practical issues of complexity regularization, model selection, and hyperparameter optimization (Section 2, since it is this step that makes high-complexity non-parametric fitting so different from low-dimensional parametric fitting. To emphasize that this issue is not restricted to classification, we illustrate the concept on a low-dimensional but non-parametric regression example (Section 2.1. Section 3 describes the common algorithmic-statistical formal framework that unifies the main families of multivariate classification algorithms. We explain here the large-margin principle that partly explains why these algorithms work. Section 4 is devoted to the description of the three main (families of classification algorithms, neural networks, the support vector machine, and AdaBoost. We do not go into the algorithmic details; the goal is to give an overview on the form of the functions these methods learn and on the objective functions they optimize. Besides their technical description, we also make an attempt to put these algorithm into a socio-historical context. We then briefly describe some rather heterogeneous applications to illustrate the pattern recognition pipeline and to show how widespread the use of these methods is (Section 5. We conclude the chapter with three essentially open research problems

  11. Introduction to multivariate discrimination

    Science.gov (United States)

    Kégl, Balázs

    2013-07-01

    Multivariate discrimination or classification is one of the best-studied problem in machine learning, with a plethora of well-tested and well-performing algorithms. There are also several good general textbooks [1-9] on the subject written to an average engineering, computer science, or statistics graduate student; most of them are also accessible for an average physics student with some background on computer science and statistics. Hence, instead of writing a generic introduction, we concentrate here on relating the subject to a practitioner experimental physicist. After a short introduction on the basic setup (Section 1) we delve into the practical issues of complexity regularization, model selection, and hyperparameter optimization (Section 2), since it is this step that makes high-complexity non-parametric fitting so different from low-dimensional parametric fitting. To emphasize that this issue is not restricted to classification, we illustrate the concept on a low-dimensional but non-parametric regression example (Section 2.1). Section 3 describes the common algorithmic-statistical formal framework that unifies the main families of multivariate classification algorithms. We explain here the large-margin principle that partly explains why these algorithms work. Section 4 is devoted to the description of the three main (families of) classification algorithms, neural networks, the support vector machine, and AdaBoost. We do not go into the algorithmic details; the goal is to give an overview on the form of the functions these methods learn and on the objective functions they optimize. Besides their technical description, we also make an attempt to put these algorithm into a socio-historical context. We then briefly describe some rather heterogeneous applications to illustrate the pattern recognition pipeline and to show how widespread the use of these methods is (Section 5). We conclude the chapter with three essentially open research problems that are either

  12. Aging affects epidermal Langerhans cell development and function and alters their miRNA gene expression profile.

    Science.gov (United States)

    Xu, Ying-Ping; Qi, Rui-Qun; Chen, Wenbin; Shi, Yuling; Cui, Zhi-Zhong; Gao, Xing-Hua; Chen, Hong-Duo; Zhou, Li; Mi, Qing-Sheng

    2012-11-01

    Immunosenescence is a result of progressive decline in immune system function with advancing age. Epidermal Langerhans cells (LCs), belonging to the dendritic cell (DC) family, act as sentinels to play key roles in the skin immune responses. However, it has not been fully elucidated how aging affects development and function of LCs. Here, we systemically analyzed LC development and function during the aging process in C57BL/6J mice, and performed global microRNA (miRNA) gene expression profiles in aged and young LCs. We found that the frequency and maturation of epidermal LCs were significantly reduced in aged mice starting at 12 months of age, while the Langerin expression and ability to phagocytose Dextran in aged LCs were increased compared to LCs from aged and young mice. Functionally, aged LCs were impaired in their capacity to induce OVA-specific CD4+ and CD8+ T cell proliferation. Furthermore, the expression of miRNAs in aged epidermal LCs showed a distinct profile compared to young LCs. Most interestingly, aging-regulated miRNAs potentially target TGF-β-dependent and non- TGF-β-dependent signal pathways related to LCs. Overall, our data suggests that aging affects LCs development and function, and that age-regulated miRNAs may contribute to the LC developmental and functional changes in aging.

  13. SUPPLY CHAIN MANAGERS: PROFESSIONAL PROFILE AND THE ROLE IN THE CROSS-FUNCTIONAL INTEGRATION OF SUPPLY CHAIN MANAGEMENT

    Directory of Open Access Journals (Sweden)

    Andréia de Abreu

    2015-03-01

    Full Text Available Supply Chain Management can be seen as a way to achieve integration of all corporate functions. In practice, Supply Chain Management is complex and characterized by numerous activities spread over multiple functions and organizations, which pose challenges to reach effective implementation. Based on literature review, the objective of this paper is to present the theoretical indications regarding professional profile recommended for the Supply Chain Management and discuss the role of these professionals in cross-functional business processes. The literature review demonstrated a growing interest in the thematic, especially because the “soft” aspects (human and behavioral to achieve supply chain internal and external integration. All functions must be involved in Supply Chain Management and supply chain managers have a critical role to play: challenge the supremacy of functions in the organizational structure, implementing the practice of "horizontal work" through cross-functional teams. Overall, this research contributes to academic and practical professionals by the description of the job profile of the supply chain managers and presentation of forms to achieve internal integration.

  14. Haematological parameters, serum lipid profile, liver function and fatty acid profile of broiler chickens fed on diets supplemented with pomegranate seed oil and linseed oil.

    Science.gov (United States)

    Manterys, A; Franczyk-Zarow, M; Czyzynska-Cichon, I; Drahun, A; Kus, E; Szymczyk, B; Kostogrys, R B

    2016-12-01

    The objective of the present study was to determine effect of pomegranate seed oil (PSO) and linseed oil (LO) on haematological parameters, serum lipid profile and liver enzymes as well as fatty acids profile of adipose tissue in broilers. Broilers (n = 400) were fed on diets containing graded PSO levels (0.0%, 0.5%, 1.0%, 1.5%) with or without 2% LO. After 6 weeks of feeding, 6 male broilers from each group were slaughtered and abdominal fat, liver and blood samples were collected. Mixtures of pomegranate seed oil (0.5%, 1%) with linseed oil increased white blood cell level in broilers. Total cholesterol was elevated after LO supplementation whereas administration of PSO (1.5%) significantly decreased this parameter. PSO administration caused c9,t11 conjugated linoleic acid (CLA) concentration-dependent deposition in adipose tissue. By LO addition α-linolenic acid (ALA) content was enhanced, decreasing the n-6/n-3 ratio. PSO and ALA also affected oleic acid proportion in adipose tissue. Neither pomegranate seed oil nor linseed oil had any effect on liver parameters. Pomegranate seed oil had no negative effects on broiler health status and can be considered as a functional poultry meat component.

  15. A comparative study of lipid profile and autonomic functions in vegetarian and non-vegetarian postmenopausal women

    Directory of Open Access Journals (Sweden)

    Arunima Chaudhuri

    2013-01-01

    Full Text Available Background: The prevalence of dyslipedaemia, autonomic dysfunction leading to cardiovascular diseases, increases with menopause and an ageing population. Autonomic dysfunction as measured by lower heart rate variability is an established risk factor for cardiac death. Diet and nutrition have been extensively investigated as risk factors for major cardiovascular diseases and are also linked to other cardiovascular risk factors. Objectives: To compare lipid profile and autonomic functions of postmenopausal women on vegetarian and non- vegetarian diet. Materials and Methods: 120 Postmenopausal women (menopausal duration and age-matched without any gross systemic disease from an Industrial population were selected. Sixty women were on vegetarian diet and 60 on non-vegetarian diet. BMI and waist/hip ratios were calculated, lipid profile was analyzed, and autonomic function tests were carried out. A comparison was done between the two groups using Students t test. Pearson′s correlation coefficient was calculated between the independent variable (lipid profile parameters and the dependent variables (deep breath test, valsalva ratio, 30:15 ratio, OTT, IHG, CPT to understand the effect of lipid profile on autonomic control of heart. Results : Significant increases in total cholesterol, triglyceride, LDL, cholesterol/HDL ratio were noticed in women on non-vegetarian diet. Results of autonomic function tests, i.e. valsalva ratio, deep breath test, 30: 15R-R intervals ratio, isometric hand grip test, cold pressor test, and orthostatic tolerance test were significantly worsened in postmenopausal women on non-vegetarian diet. Conclusion: Dietary factors may be an important cause of alteration of lipid metabolism. Increased cholesterol decreases heart rate variability and increased LDL cholesterol decreases baroreceptor sensitivity thereby worsening autonomic functions in postmenopausal women.

  16. Lung Function Profiles among Individuals with Nonmalignant Asbestos-related Disorders

    Directory of Open Access Journals (Sweden)

    Eun-Kee Park

    2014-12-01

    Conclusion: Lung function measurement differs in individuals with different ARDs. Monitoring of lung function among asbestos-exposed populations is a simple means of facilitating earlier interventions.

  17. Improved structure, function and compatibility for CellProfiler: modular high-throughput image analysis software.

    Science.gov (United States)

    Kamentsky, Lee; Jones, Thouis R; Fraser, Adam; Bray, Mark-Anthony; Logan, David J; Madden, Katherine L; Ljosa, Vebjorn; Rueden, Curtis; Eliceiri, Kevin W; Carpenter, Anne E

    2011-04-15

    There is a strong and growing need in the biology research community for accurate, automated image analysis. Here, we describe CellProfiler 2.0, which has been engineered to meet the needs of its growing user base. It is more robust and user friendly, with new algorithms and features to facilitate high-throughput work. ImageJ plugins can now be run within a CellProfiler pipeline. CellProfiler 2.0 is free and open source, available at http://www.cellprofiler.org under the GPL v. 2 license. It is available as a packaged application for Macintosh OS X and Microsoft Windows and can be compiled for Linux. anne@broadinstitute.org Supplementary data are available at Bioinformatics online.

  18. Profile of Functional Limitations and Task Performance Among People With Early- and Middle-Stage Parkinson Disease

    Science.gov (United States)

    Ellis, Terry; Christiansen, Cory; Barón, Anna E.; Tickle-Degnen, Linda; Hall, Deborah A.; Wagenaar, Robert

    2011-01-01

    Background Overall functional ability declines over time in people with Parkinson disease (PD). Established benchmarks are needed to allow clinicians and researchers to facilitate meaningful interpretation of data. Objective The purposes of this study were: (1) to report typical values for standard measures of functional ability commonly used in intervention studies and clinical practice with individuals in the early and middle stages of PD and (2) to describe the profile of functional limitations using the Hoehn and Yahr (H&Y) stages of disease and Unified Parkinson's Disease Rating Scale (UPDRS) motor scores. Design Cross-sectional data were obtained from 5 different studies. Methods Three hundred thirty-nine patients were evaluated for disease severity (UPDRS motor score); functional capacity (Continuous Scale Physical Functional Performance Test [CS-PFP]); balance and gait (Functional Reach Test [FRT], Timed “Up & Go” Test [TUG], 360-degree turn, Six-Minute Walk Test [6MWT], and Two-Minute Walk Test); and basic functional activities (supine-to-stand task, stand-to-supine task, and functional axial rotation [FAR]). Results The mean UPDRS motor score for the sample was 39.2 (SD=12.93). At each stage of PD (from least to most involved), scores on functional measures indicated a significant and progressively reduced functional status. Limitations began early in the disease for the CS-PFP and FAR. Losses in performance were consistent across all stages of disease for the CS-PFP, FRT, 6MWT, and FAR. Several measures demonstrated meaningful losses of function only in later stages of disease. Findings extend current appreciation of functional limitations that begin early in PD and can guide the choice of functional outcome measures at different stages of disease severity. Limitations Data were obtained only from participants in H&Y stages 1 through 3 and only for some of the performance measures typically used. Conclusions The findings demonstrate that functional

  19. Social-Emotional Functioning of Elementary-Age Deaf Children: A Profile Analysis

    Science.gov (United States)

    Vogel-Walcutt, Jennifer J.; Schatschneider, Christopher; Bowers, Clint

    2011-01-01

    Discussion and study of the social-emotional development of deaf and hard of hearing children, though extensive, has yet to provide an accurate understanding of the differences between deaf and hearing children. Consequently, the goal of the researchers was to conduct a profile analysis to determine similarities and differences between the two…

  20. Motor and Executive Function Profiles in Adult Residents Environmentally Exposed to Manganese

    Science.gov (United States)

    Objective: Exposure to elevated levels of manganese (Mn) may be associated with tremor, motor and executive dysfunction (EF), clinically resembling Parkinson’s disease (PD). PD research has identified tremor-dominant (TD) and non-tremor dominant (NTD) profiles. NTD PD pres...

  1. Mesavage and Girard form class taper functions derived from profile equations

    Science.gov (United States)

    Thomas g. Matney; Emily B. Schultz

    2007-01-01

    The Mesavage and Girard (1946) average upper-log taper tables remain a favorite way of estimating tree bole volume because they only require the measurement of merchantable (useable) height to an indefinite top diameter limit. For the direct application of profile equations, height must be measured to a definite top diameter limit, and this makes the collection of data...

  2. Gendoo: functional profiling of gene and disease features using MeSH vocabulary.

    Science.gov (United States)

    Nakazato, Takeru; Bono, Hidemasa; Matsuda, Hideo; Takagi, Toshihisa

    2009-07-01

    Genome-wide data enables us to clarify the underlying molecular mechanisms of complex phenotypes. The Online Mendelian Inheritance in Man (OMIM) is a widely employed knowledge base of human genes and genetic disorders for biological researchers. However, OMIM has not been fully exploited for omics analysis because its bibliographic data structure is not suitable for computer automation. Here, we characterized diseases and genes by generating feature profiles of associated drugs, biological phenomena and anatomy with the MeSH (Medical Subject Headings) vocabulary. We obtained 1 760 054 pairs of OMIM entries and MeSH terms by utilizing the full set of MEDLINE articles. We developed a web-based application called Gendoo (gene, disease features ontology-based overview system) to visualize these profiles. By comparing feature profiles of types 1 and 2 diabetes, we clearly illustrated their differences: type 1 diabetes is an autoimmune disease (P-value = 4.55 x 10(-5)) and type 2 diabetes is related to obesity (P-value = 1.18 x 10(-15)). Gendoo and the developed feature profiles should be useful for omics analysis from molecular and clinical viewpoints. Gendoo is available at http://gendoo.dbcls.jp/.

  3. Psychosocial and Cognitive Functioning of Children with Specific Profiles of Maltreatment

    Science.gov (United States)

    Pears, Katherine C.; Kim, Hyoun K.; Fisher, Philip A.

    2008-01-01

    Objective: Up to 90% of child welfare system cases involve multiple types of maltreatment; however, studies have rarely incorporated multiple dimensions of maltreatment. The present study employed a latent profile analysis to identify naturally occurring subgroups of children who had experienced maltreatment. Methods: Reports of maltreatment…

  4. Concomitant prediction of function and fold at the domain level with GO-based profiles.

    Science.gov (United States)

    Lopez, Daniel; Pazos, Florencio

    2013-01-01

    Predicting the function of newly sequenced proteins is crucial due to the pace at which these raw sequences are being obtained. Almost all resources for predicting protein function assign functional terms to whole chains, and do not distinguish which particular domain is responsible for the allocated function. This is not a limitation of the methodologies themselves but it is due to the fact that in the databases of functional annotations these methods use for transferring functional terms to new proteins, these annotations are done on a whole-chain basis. Nevertheless, domains are the basic evolutionary and often functional units of proteins. In many cases, the domains of a protein chain have distinct molecular functions, independent from each other. For that reason resources with functional annotations at the domain level, as well as methodologies for predicting function for individual domains adapted to these resources are required.We present a methodology for predicting the molecular function of individual domains, based on a previously developed database of functional annotations at the domain level. The approach, which we show outperforms a standard method based on sequence searches in assigning function, concomitantly predicts the structural fold of the domains and can give hints on the functionally important residues associated to the predicted function.

  5. Longitudinal prediction and concurrent functioning of adolescent girls demonstrating various profiles of dating violence and victimization.

    Science.gov (United States)

    Chiodo, Debbie; Crooks, Claire V; Wolfe, David A; McIsaac, Caroline; Hughes, Ray; Jaffe, Peter G

    2012-08-01

    Adolescent girls are involved in physical dating violence as both perpetrators and victims, and there are negative consequences associated with each of these behaviors. This article used a prospective design with 519 girls dating in grade 9 to predict profiles of dating violence in grade 11 based on relationships with families of origin (child maltreatment experiences, harsh parenting), and peers (harassment, delinquency, relational aggression). In addition, dating violence profiles were compared on numerous indices of adjustment (school connectedness, grades, self-efficacy and community connectedness) and maladjustment (suicide attempts, distress, delinquency, sexual behavior) for descriptive purposes. The most common profile was no dating violence (n = 367) followed by mutual violence (n = 81). Smaller numbers of girls reported victimization or perpetration only (ns = 39 and 32, respectively). Predicting grade 11 dating violence profile membership from grade 9 relationships was limited, although delinquency, parental rejection, and sexual harassment perpetration predicted membership to the mutually violent group, and delinquency predicted the perpetrator-only group. Compared to the non-violent group, the mutually violent girls in grade 11 had lower grades, poorer self-efficacy, and lower school connectedness and community involvement. Furthermore, they had higher rates of peer aggression and delinquency, were less likely to use condoms and were much more likely to have considered suicide. There were fewer differences among the profiles for girls involved with dating violence. In addition, the victims-only group reported higher rates of sexual intercourse, comparable to the mutually violent group and those involved in nonviolent relationships. Implications for prevention and intervention are highlighted.

  6. Functional genomics in chickens: development of integrated-systems microarrays for transcriptional profiling and discovery of regulatory pathways.

    Science.gov (United States)

    Cogburn, L A; Wang, X; Carre, W; Rejto, L; Aggrey, S E; Duclos, M J; Simon, J; Porter, T E

    2004-01-01

    The genetic networks that govern the differentiation and growth of major tissues of economic importance in the chicken are largely unknown. Under a functional genomics project, our consortium has generated 30 609 expressed sequence tags (ESTs) and developed several chicken DNA microarrays, which represent the Chicken Metabolic/Somatic (10 K) and Neuroendocrine/Reproductive (8 K) Systems (http://udgenome.ags.udel.edu/cogburn/). One of the major challenges facing functional genomics is the development of mathematical models to reconstruct functional gene networks and regulatory pathways from vast volumes of microarray data. In initial studies with liver-specific microarrays (3.1 K), we have examined gene expression profiles in liver during the peri-hatch transition and during a strong metabolic perturbation-fasting and re-feeding-in divergently selected broiler chickens (fast vs. slow-growth lines). The expression of many genes controlling metabolic pathways is dramatically altered by these perturbations. Our analysis has revealed a large number of clusters of functionally related genes (mainly metabolic enzymes and transcription factors) that control major metabolic pathways. Currently, we are conducting transcriptional profiling studies of multiple tissues during development of two sets of divergently selected broiler chickens (fast vs. slow growing and fat vs. lean lines). Transcriptional profiling across multiple tissues should permit construction of a detailed genetic blueprint that illustrates the developmental events and hierarchy of genes that govern growth and development of chickens. This review will briefly describe the recent acquisition of chicken genomic resources (ESTs and microarrays) and our consortium's efforts to help launch the new era of functional genomics in the chicken.

  7. Discrimination and numerical analysis of human pathogenic ...

    African Journals Online (AJOL)

    Discrimination and numerical analysis of human pathogenic Candida albicans strains based on SDSPAGE protein profiles. ... obtaining a correct identification, both the commercial yeast kit system and the numerical analysis of whole-cell protein patterns can be useful for the more reliable identification of C. albicans strains.

  8. Selecting the most relevant brain regions to discriminate Alzheimer's disease patients from healthy controls using multiple kernel learning: A comparison across functional and structural imaging modalities and atlases.

    Science.gov (United States)

    Rondina, Jane Maryam; Ferreira, Luiz Kobuti; de Souza Duran, Fabio Luis; Kubo, Rodrigo; Ono, Carla Rachel; Leite, Claudia Costa; Smid, Jerusa; Nitrini, Ricardo; Buchpiguel, Carlos Alberto; Busatto, Geraldo F

    2018-01-01

    Machine learning techniques such as support vector machine (SVM) have been applied recently in order to accurately classify individuals with neuropsychiatric disorders such as Alzheimer's disease (AD) based on neuroimaging data. However, the multivariate nature of the SVM approach often precludes the identification of the brain regions that contribute most to classification accuracy. Multiple kernel learning (MKL) is a sparse machine learning method that allows the identification of the most relevant sources for the classification. By parcelating the brain into regions of interest (ROI) it is possible to use each ROI as a source to MKL (ROI-MKL). We applied MKL to multimodal neuroimaging data in order to: 1) compare the diagnostic performance of ROI-MKL and whole-brain SVM in discriminating patients with AD from demographically matched healthy controls and 2) identify the most relevant brain regions to the classification. We used two atlases (AAL and Brodmann's) to parcelate the brain into ROIs and applied ROI-MKL to structural (T1) MRI, 18 F-FDG-PET and regional cerebral blood flow SPECT (rCBF-SPECT) data acquired from the same subjects (20 patients with early AD and 18 controls). In ROI-MKL, each ROI received a weight (ROI-weight) that indicated the region's relevance to the classification. For each ROI, we also calculated whether there was a predominance of voxels indicating decreased or increased regional activity (for 18 F-FDG-PET and rCBF-SPECT) or volume (for T1-MRI) in AD patients. Compared to whole-brain SVM, the ROI-MKL approach resulted in better accuracies (with either atlas) for classification using 18 F-FDG-PET (92.5% accuracy for ROI-MKL versus 84% for whole-brain), but not when using rCBF-SPECT or T1-MRI. Although several cortical and subcortical regions contributed to discrimination, high ROI-weights and predominance of hypometabolism and atrophy were identified specially in medial parietal and temporo-limbic cortical regions. Also, the weight of

  9. Measuring Discriminations : an Introduction

    OpenAIRE

    DUGUET Emmanuel; Yannick L'Horty; Meurs, Dominique; Pascale PETIT

    2010-01-01

    The articles published here were all presented at the international conference on the measurement of discriminations held at the University of Evry Val d'Essonne on 13 and 14 December 2007, under the auspices of the TEPP research federation (FR n° 3126 of the CNRS). Over these two days, about sixty participants discussed the problems of defining and measuring discrimination, including work on economics, sociology and law; on discriminations in hiring, training, unemployment, promotion, career...

  10. Evaluation of sexual dimorphism by discriminant function analysis of toe length (1T-5T) of adult Igbo populace in Nigeria.

    Science.gov (United States)

    Alabi, Stephen A; Didia, Blessing C; Oladipo, Gabriel Sunday; Aigbogun, Eric O

    2016-01-01

    Sex determination is an important and one of the foremost criteria in establishing the identity of an individual, and this is achieved by investigating various anatomical structures to establish sex discriminatory features. The present study conducted baseline data for the toe with a view of finding discriminatory sex characteristics. A total of 420 subjects were studied by direct linear measurements of the toe length (big toe [1T] to the fifth toes [5T]) of both feet using a digital Vernier caliper with accuracy of 0.01 mm. Statistical Package for Social Sciences  (IBM, version 23, Armonk, New York, USA), Levene's ANOVA outcome informed the use of t-tests to compare mean differences. Discriminant function analysis (DFA) was used to evaluate the possibility of sex categorization. The significance level was set at 95%. The mean ± standard deviation values of the right (R) toes for the males were 49.63 ± 4.43 mm (1T), 36.92 ± 5.14 mm (2T), 30.35 ± 4.95 mm (3T), 25.55 ± 3.97 mm (4T) and 22.21 ± 2.94 mm (5T), whereas the female values were 45.73 ± 4.07 mm (1T), 33.31 ± 4.66 mm (2T), 26.63 ± 4.02 mm (3T), 22.89 ± 3.43 mm (4T), and 19.77 ± 2.70 mm (5T). The left male values were 49.16 ± 4.32 mm (1T), 36.82 ± 5.16 mm (2T), 30.88 ± 4.91 mm (3T), 26.13 ± 3.99 mm (4T), and 22.46 ± 3.24 mm (5T), whereas the female values were 45.33 ± 4.05 mm (1T), 33.05 ± 4.70 mm (2T), 27.27 ± 4.29 mm (3T), 23.10 ± 3.36 mm (4T), 19.81 ± 2.59 mm (5T). From the results, males displayed significantly higher mean values than females in all measured parameters (t = 2.405, P = 0.018) with no asymmetry (P > 0.05); although T3 and T4 were larger on the left foot. The DFA model when tested with the present data derived a significant F likelihood ratio test (P < 0.001), a Wilks' lambda predictability value of 0.759 having a model accuracy of 69.5% with a better prediction for female (70%) than males (69%). The use of toe length alone may not be effective for sex differentiation

  11. Comparison of Three Criteria for Discriminant Analysis Procedure ...

    African Journals Online (AJOL)

    This paper presents a fisher's criterion, Welch's criterion, and Bayes criterion for performing a discriminant analysis. These criteria estimates a linear discriminant analysis on two groups (or regions) of contrived observations. The discriminant functions and classification rules for these criteria are also discussed. A linear ...

  12. Activation of Premotor Vocal Areas during Musical Discrimination

    Science.gov (United States)

    Brown, Steven; Martinez, Michael J.

    2007-01-01

    Two same/different discrimination tasks were performed by amateur-musician subjects in this functional magnetic resonance imaging study: Melody Discrimination and Harmony Discrimination. Both tasks led to activations not only in classic working memory areas--such as the cingulate gyrus and dorsolateral prefrontal cortex--but in a series of…

  13. Molecular Profiling Predicts the Existence of Two Functionally Distinct Classes of Ovarian Cancer Stroma

    OpenAIRE

    Lili, Loukia N.; Lilya V Matyunina; L DeEtte Walker; Benigno, Benedict B; John F. McDonald

    2013-01-01

    Although stromal cell signaling has been shown to play a significant role in the progression of many cancers, relatively little is known about its importance in modulating ovarian cancer development. The purpose of this study was to investigate the process of stroma activation in human ovarian cancer by molecular analysis of matched sets of cancer and surrounding stroma tissues. RNA microarray profiling of 45 tissue samples was carried out using the Affymetrix (U133 Plus 2.0) gene expression ...

  14. Brazil nuts intake improves lipid profile, oxidative stress and microvascular function in obese adolescents: a randomized controlled trial

    Directory of Open Access Journals (Sweden)

    Koury Josely C

    2011-05-01

    Full Text Available Abstract Background Obesity is a chronic disease associated to an inflammatory process resulting in oxidative stress that leads to morpho-functional microvascular damage that could be improved by some dietary interventions. In this study, the intake of Brazil nuts (Bertholletia excelsa, composed of bioactive substances like selenium, α- e γ- tocopherol, folate and polyunsaturated fatty acids, have been investigated on antioxidant capacity, lipid and metabolic profiles and nutritive skin microcirculation in obese adolescents. Methods Obese female adolescents (n = 17, 15.4 ± 2.0 years and BMI of 35.6 ± 3.3 kg/m2, were randomized 1:1 in two groups with the diet supplemented either with Brazil nuts [BNG, n = 08, 15-25 g/day (equivalent to 3 to 5 units/day] or placebo [PG (lactose, n = 09, one capsule/day] and followed for 16 weeks. Anthropometry, metabolic-lipid profiles, oxidative stress and morphological (capillary diameters and functional [functional capillary density, red blood cell velocity (RBCV at baseline and peak (RBCVmax and time (TRBCVmax to reach it during post-occlusive reactive hyperemia, after 1 min arterial occlusion] microvascular variables were assessed by nailfold videocapillaroscopy at baseline (T0 and after intervention (T1. Results T0 characteristics were similar between groups. At T1, BNG (intra-group variation had increased selenium levels (p = 0.02, RBCV (p = 0.03 and RBCVmax (p = 0.03 and reduced total (TC (p = 0.02 and LDL-cholesterol (p = 0.02. Compared to PG, Brazil nuts intake reduced TC (p = 0.003, triglycerides (p = 0.05 and LDL-ox (p = 0.02 and increased RBCV (p = 0.03. Conclusion Brazil nuts intake improved the lipid profile and microvascular function in obese adolescents, possibly due to its high level of unsaturated fatty acids and bioactive substances. Trial Registration Clinical Trials.gov NCT00937599

  15. A comparison of the human and mouse protein corona profiles of functionalized SiO2nanocarriers.

    Science.gov (United States)

    Solorio-Rodríguez, A; Escamilla-Rivera, V; Uribe-Ramírez, M; Chagolla, A; Winkler, R; García-Cuellar, C M; De Vizcaya-Ruiz, A

    2017-09-21

    Nanoparticles are a promising cancer therapy for their use as drug carriers given their versatile functionalization with polyethylene glycol and proteins that can be recognized by overexpressed receptors in tumor cells. However, it has been suggested that in biological fluids, proteins cover nanoparticles, which gives the proteins a biological identity that could be responsible for unexpected biological responses: the so-called protein corona. A relevant biological event that is usually ignored in protein-corona formation is the interspecies differences in protein binding, which can be involved in the discrepancies observed in preclinical studies and the nanoparticle safety and efficiency. Hence, the aim of this study was to determine the differences between human and mouse plasma protein corona profiles in an active therapy model using silicon dioxide nanoparticles (SiO 2 nanoparticles) functionalized with polyethylene glycol and transferrin. Functionalized SiO 2 nanoparticles were made with a primary particle size of 25 nm and a transferrin content of 50 μg mg -1 of nanoparticles and were PEGylated with a cross-linker. The proteomic analysis by nanoliquid chromatography tandem-mass spectrometry (nanoLC-MS/MS) showed interspecies differences. The most abundant proteins found in the human protein corona profile were immunoglobulins, actin cytoplasmic 1, hemoglobin subunit beta, serotransferrin, ficolin-3, complement C3, and apolipoprotein A-1. Meanwhile, the mouse protein corona adsorbed the serine protease inhibitor A3K, serotransferrin, alpha-1-antitrypsin 1-2, hemoglobin subunit beta, and fibrinogen gamma and beta chains. These protein-corona profile differences in the functionalized SiO 2 nanoparticles indicate that biological responses observed in in vivo models could not be translated to clinical use and must be considered in the interpretation of preclinical trials in order to design more efficient and safer nanomedicines.

  16. A Comprehensive Examination of Reading Heterogeneity in Students with High Functioning Autism: Distinct Reading Profiles and Their Relation to Autism Symptom Severity.

    Science.gov (United States)

    McIntyre, Nancy S; Solari, Emily J; Grimm, Ryan P; E Lerro, Lindsay; E Gonzales, Joseph; Mundy, Peter C

    2017-04-01

    The goal of this study was to identify unique profiles of readers in a sample of 8-16 year olds with higher functioning autism spectrum disorders (HFASD) and examine the profiles in relation to ASD symptom severity. Eighty-one students were assessed utilizing a comprehensive reading battery that included basic word reading, language, and comprehension. Using Latent Profile Analysis, four empirically distinct profiles of readers emerged. Next, using the Autism Diagnostic Observation Schedule, Second Edition (Lord et al., Autism diagnostic observation schedule, 2nd edn, Western Psychological Services, Torrance, CA, 2012), analyses were conducted to determine if significant differences existed between profiles as a result of ASD symptomatology. Findings demonstrate the heterogeneous nature of reading profiles in students with HFASD and significant differences between the reading profiles and ASD symptom severity.

  17. Association of protein structure, protein and carbohydrate subfractions with bioenergy profiles and biodegradation functions in modeled forage

    Science.gov (United States)

    Ji, Cuiying; Zhang, Xuewei; Yu, Peiqiang

    2016-03-01

    The objectives of this study were to detect unique aspects and association of forage protein inherent structure, biological compounds, protein and carbohydrate subfractions, bioenergy profiles, and biodegradation features. In this study, common available alfalfa hay from two different sourced-origins (FSO vs. CSO) was used as a modeled forage for inherent structure profile, bioenergy, biodegradation and their association between their structure and bio-functions. The molecular spectral profiles were determined using non-invasive molecular spectroscopy. The parameters included: protein structure amide I group, amide II group and their ratios; protein subfractions (PA1, PA2, PB1, PB2, PC); carbohydrate fractions (CA1, CA2, CA3, CA4, CB1, CB2, CC); biodegradable and undegradable fractions of protein (RDPA2, RDPB1, RDPB2, RDP; RUPA2 RUPB1, RUPB2, RUPC, RUP); biodegradable and undegradable fractions of carbohydrate (RDCA4, RDCB1, RDCB2, RDCB3, RDCHO; RUCA4, RUCB1; RUCB2; RUCB3 RUCC, RUCHO) and bioenergy profiles (tdNDF, tdFA, tdCP, tdNFC, TDN1 ×, DE3 ×, ME3 ×, NEL3 ×; NEm, NEg). The results show differences in protein and carbohydrate (CHO) subfractions in the moderately degradable true protein fraction (PB1: 502 vs. 420 g/kg CP, P = 0.09), slowly degraded true protein fraction (PB2: 45 vs. 96 g/kg CP, P = 0.02), moderately degradable CHO fraction (CB2: 283 vs. 223 g/kg CHO, P = 0.06) and slowly degraded CHO fraction (CB3: 369 vs. 408 g/kg CHO) between the two sourced origins. As to biodegradable (RD) fractions of protein and CHO in rumen, there were differences in RD of PB1 (417 vs. 349 g/kg CP, P = 0.09), RD of PB2 (29 vs. 62 g/kg CP, P = 0.02), RD of CB2 (251 vs. 198 g/kg DM, P = 0.06), RD of CB3 (236 vs. 261 g/kg CHO, P = 0.08). As to bioenergy profile, there were differences in total digestible nutrient (TDN: 551 vs. 537 g/kg DM, P = 0.06), and metabolic bioenergy (P = 0.095). As to protein molecular structure, there were differences in protein structure 1st

  18. Developmental profile of speech-language and communicative functions in an individual with the preserved speech variant of Rett syndrome.

    Science.gov (United States)

    Marschik, Peter B; Vollmann, Ralf; Bartl-Pokorny, Katrin D; Green, Vanessa A; van der Meer, Larah; Wolin, Thomas; Einspieler, Christa

    2014-08-01

    We assessed various aspects of speech-language and communicative functions of an individual with the preserved speech variant of Rett syndrome (RTT) to describe her developmental profile over a period of 11 years. For this study, we incorporated the following data resources and methods to assess speech-language and communicative functions during pre-, peri- and post-regressional development: retrospective video analyses, medical history data, parental checklists and diaries, standardized tests on vocabulary and grammar, spontaneous speech samples and picture stories to elicit narrative competences. Despite achieving speech-language milestones, atypical behaviours were present at all times. We observed a unique developmental speech-language trajectory (including the RTT typical regression) affecting all linguistic and socio-communicative sub-domains in the receptive as well as the expressive modality. Future research should take into consideration a potentially considerable discordance between formal and functional language use by interpreting communicative acts on a more cautionary note.

  19. Beyond mean functional traits: Influence of functional trait profiles on forest structure, production, and mortality across the eastern US

    Science.gov (United States)

    Matthew B. Russell; Christopher W. Woodall; Anthony W. D' Amato; Grant M. Domke; Sassan S. Saatchi

    2014-01-01

    Plant functional traits (PFTs) have increased in popularity in recent years to describe various ecosystems and biological phenomena while advancing general ecological principles. To date, few have investigated distributional attributes of individual PFTs and their relationship with key attributes and processes of forest ecosystems. The objective of this study was to...

  20. Discrimination of Earthquake and Blast Seismicity in Western Alberta

    Science.gov (United States)

    Spriggs, N.; Law, A.; Yenier, E.; Reynen, A.; Baturan, D.

    2015-12-01

    Recorded seismicity in western Alberta is caused by natural and induced earthquakes or blast events from mining and quarry operations. Accurate discrimination of earthquakes from blast events is crucial for evaluating recent seismicity with respect to the historical catalog and for assessing seismic hazards associated with naturally occurring or induced seismicity. In general, blast events are discriminated from earthquakes based on their proximity to active mines and quarries in addition to day-of-week and time-of-day timing patterns. In some parts of western Alberta, however, seismicity originates in regions with active mines, historical earthquake seismicity, and hydraulic fracturing operations. Based on timing patterns or event locations alone, natural or induced seismicity may be misidentified as mining activity. Several studies report that relative differences in Fourier or response spectra can be used to discriminate blast and earthquake events. Other studies report that the relative timing and amplitude of seismic phases may provide useful metrics for classifying blast events. Here we propose an alternative method that accounts for both differences in phase spectra and phase timing and amplitude. In particular, we evaluate the normalized time integral for characteristic functions of particle motion from confirmed blast and earthquake events recorded by regional Alberta seismic networks. We then use these time-integral profiles to re-classify events that are initially categorized as suspected blasts based on timing pattern and event location indicators.

  1. Quality Characteristics, Nutraceutical Profile, and Storage Stability of Aloe Gel-Papaya Functional Beverage Blend

    OpenAIRE

    Ramachandran, Pushkala; Nagarajan, Srividya

    2014-01-01

    Aloe vera gel, well known for its nutraceutical potential, is being explored as a functional ingredient in a wide array of health foods and drinks. Processing of exotic fruits and herbal botanicals into functional beverage is an emerging sector in food industry. The present study was undertaken to develop a spiced functional RTS beverage blend using Aloe gel (AG) and papaya. Aloe gel (30%), papaya pulp (15%), spice extract (5%), and citric acid (0.1%) were mixed in given proportion to prepare...

  2. Discrimination against Black Students

    Science.gov (United States)

    Aloud, Ashwaq; Alsulayyim, Maryam

    2016-01-01

    Discrimination is a structured way of abusing people based on racial differences, hence barring them from accessing wealth, political participation and engagement in many spheres of human life. Racism and discrimination are inherently rooted in institutions in the society, the problem has spread across many social segments of the society including…

  3. INTERSECTIONAL DISCRIMINATION AGAINST CHILDREN

    DEFF Research Database (Denmark)

    Ravnbøl, Camilla Ida

    This paper adds a perspective to existing research on child protection by engaging in a debate on intersectional discrimination and its relationship to child protection. The paper has a twofold objective, (1) to further establish intersectionality as a concept to address discrimination against...... children, and (2) to illustrate the importance of addressing intersectionality within rights-based programmes of child protection....

  4. Flash-Type Discrimination

    Science.gov (United States)

    Koshak, William J.

    2010-01-01

    This viewgraph presentation describes the significant progress made in the flash-type discrimination algorithm development. The contents include: 1) Highlights of Progress for GLM-R3 Flash-Type discrimination Algorithm Development; 2) Maximum Group Area (MGA) Data; 3) Retrieval Errors from Simulations; and 4) Preliminary Global-scale Retrieval.

  5. Functional profile of ALS patients over 14 months of physical therapy

    Directory of Open Access Journals (Sweden)

    Gabriele Natane de Medeiros Cirne

    2016-07-01

    Full Text Available Introduction: Amyotrophic Lateral Sclerosis (ALS is a degenerative and fatal disease that changes the individuals’ functionality. Physical therapy plays an important role in ALS by using assessment tools to evaluate functional performance. Objective: To investigate functional changes caused by ALS through 14 months in individuals with and without physical therapy. Method: A cohort study conducted between 2010 and 2013 in the city of Natal-RN. The study included patients in various stages of ALS, with no associated pathologies and those who were being monitored by the Reference Center since 2010. Functional characteristics were categorized by applying the motor items of Functional Independence Measure (FIM, Fatigue Severity Scale (FSS and ALS-Functional Rating Scale (ALSFRS. Participants were divided into two groups, those who performed physical therapy (FA and those who didn’t (CG. They were longwise evaluated in 3 different moments (1st day of assessment, four months after the first assessment and 10 months after the second evaluation. Nonparametric Friedman test was performed, considering p <0.05. Results: It was observed a significant functional decline in the control group (p <0.05 measured by the ALSFRS. The CG also presented functional decline greater than the AF group from FIM scores, however without statistical significance. There was no difference in the scores of FSS. Conclusion: Physical therapy can be a great adjunct in functional decline retardation in patients with ALS. It also emphasizes the importance of specific scales for ALS, considering the disease progressive and heterogeneous nature.

  6. A Comprehensive Examination of Reading Heterogeneity in Students with High Functioning Autism: Distinct Reading Profiles and Their Relation to Autism Symptom Severity

    Science.gov (United States)

    McIntyre, Nancy S.; Solari, Emily J.; Grimm, Ryan P.; E. Lerro, Lindsay; E. Gonzales, Joseph; Mundy, Peter C.

    2017-01-01

    The goal of this study was to identify unique profiles of readers in a sample of 8-16 year olds with higher functioning autism spectrum disorders (HFASD) and examine the profiles in relation to ASD symptom severity. Eighty-one students were assessed utilizing a comprehensive reading battery that included basic word reading, language, and…

  7. Genome-wide functional profiling identifies genes and processes important for zinc-limited growth of Saccharomyces cerevisiae.

    Science.gov (United States)

    North, Matthew; Steffen, Janet; Loguinov, Alex V; Zimmerman, Ginelle R; Vulpe, Chris D; Eide, David J

    2012-01-01

    Zinc is an essential nutrient because it is a required cofactor for many enzymes and transcription factors. To discover genes and processes in yeast that are required for growth when zinc is limiting, we used genome-wide functional profiling. Mixed pools of ∼4,600 deletion mutants were inoculated into zinc-replete and zinc-limiting media. These cells were grown for several generations, and the prevalence of each mutant in the pool was then determined by microarray analysis. As a result, we identified more than 400 different genes required for optimal growth under zinc-limiting conditions. Among these were several targets of the Zap1 zinc-responsive transcription factor. Their importance is consistent with their up-regulation by Zap1 in low zinc. We also identified genes that implicate Zap1-independent processes as important. These include endoplasmic reticulum function, oxidative stress resistance, vesicular trafficking, peroxisome biogenesis, and chromatin modification. Our studies also indicated the critical role of macroautophagy in low zinc growth. Finally, as a result of our analysis, we discovered a previously unknown role for the ICE2 gene in maintaining ER zinc homeostasis. Thus, functional profiling has provided many new insights into genes and processes that are needed for cells to thrive under the stress of zinc deficiency.

  8. Insights into biodegradation through depth-resolved microbial community functional and structural profiling of a crude-oil contaminant plume

    Science.gov (United States)

    Fahrenfeld, Nicole; Cozzarelli, Isabelle M.; Bailey, Zach; Pruden, Amy

    2014-01-01

    Small-scale geochemical gradients are a key feature of aquifer contaminant plumes, highlighting the need for functional and structural profiling of corresponding microbial communities on a similar scale. The purpose of this study was to characterize the microbial functional and structural diversity with depth across representative redox zones of a hydrocarbon plume and an adjacent wetland, at the Bemidji Oil Spill site. A combination of quantitative PCR, denaturing gradient gel electrophoresis, and pyrosequencing were applied to vertically sampled sediment cores. Levels of the methanogenic marker gene, methyl coenzyme-M reductase A (mcrA), increased with depth near the oil body center, but were variable with depth further downgradient. Benzoate degradation N (bzdN) hydrocarbon-degradation gene, common to facultatively anaerobic Azoarcus spp., was found at all locations, but was highest near the oil body center. Microbial community structural differences were observed across sediment cores, and bacterial classes containing known hydrocarbon degraders were found to be low in relative abundance. Depth-resolved functional and structural profiling revealed the strongest gradients in the iron-reducing zone, displaying the greatest variability with depth. This study provides important insight into biogeochemical characteristics in different regions of contaminant plumes, which will aid in improving models of contaminant fate and natural attenuation rates.

  9. Three-Dimensional Mapping of Soil Organic Carbon by Combining Kriging Method with Profile Depth Function

    OpenAIRE

    Chen, Chong; Hu, Kelin; Li, Hong; Yun, Anping; Li, Baoguo

    2015-01-01

    Understanding spatial variation of soil organic carbon (SOC) in three-dimensional direction is helpful for land use management. Due to the effect of profile depths and soil texture on vertical distribution of SOC, the stationary assumption for SOC cannot be met in the vertical direction. Therefore the three-dimensional (3D) ordinary kriging technique cannot be directly used to map the distribution of SOC at a regional scale. The objectives of this study were to map the 3D distribution of SOC ...

  10. Morphological, maturational, functional and technical profile of young Brazilian soccer players

    OpenAIRE

    Marcelo de Oliveira Matta; António José Barata Figueiredo; Emerson Silami Garcia; André Felipe Teixeira Seabra

    2014-01-01

    DOI: http://dx.doi.org/10.5007/1980-0037.2014v16n3p277   The objectives of this study were to describe and compare the anthropometric profile, physical fitness and soccer-specific skills between under-15 and under-17 Brazilian soccer players, as well as to evaluate possible differences in these variables according to biological maturation in the age categories. The sample consisted of 245 male soccer players (under-15: n=161; under-17: n=84). Anthropometric measures included weight, hei...

  11. GRAPE: a pathway template method to characterize tissue-specific functionality from gene expression profiles.

    Science.gov (United States)

    Klein, Michael I; Stern, David F; Zhao, Hongyu

    2017-06-26

    Personalizing treatment regimes based on gene expression profiles of individual tumors will facilitate management of cancer. Although many methods have been developed to identify pathways perturbed in tumors, the results are often not generalizable across independent datasets due to the presence of platform/batch effects. There is a need to develop methods that are robust to platform/batch effects and able to identify perturbed pathways in individual samples. We present Gene-Ranking Analysis of Pathway Expression (GRAPE) as a novel method to identify abnormal pathways in individual samples that is robust to platform/batch effects in gene expression profiles generated by multiple platforms. GRAPE first defines a template consisting of an ordered set of pathway genes to characterize the normative state of a pathway based on the relative rankings of gene expression levels across a set of reference samples. This template can be used to assess whether a sample conforms to or deviates from the typical behavior of the reference samples for this pathway. We demonstrate that GRAPE performs well versus existing methods in classifying tissue types within a single dataset, and that GRAPE achieves superior robustness and generalizability across different datasets. A powerful feature of GRAPE is the ability to represent individual gene expression profiles as a vector of pathways scores. We present applications to the analyses of breast cancer subtypes and different colonic diseases. We perform survival analysis of several TCGA subtypes and find that GRAPE pathway scores perform well in comparison to other methods. GRAPE templates offer a novel approach for summarizing the behavior of gene-sets across a collection of gene expression profiles. These templates offer superior robustness across distinct experimental batches compared to existing methods. GRAPE pathway scores enable identification of abnormal gene-set behavior in individual samples using a non-competitive approach that

  12. The welfare effects of third-degree price discrimination

    OpenAIRE

    Simon GB Cowan; Simon Cowan

    2004-01-01

    The welfare effects of third-degree price discrimination are known to be negative when demand functions are linear, marginal cost is constant and all markets are served. This paper shows that discrimination lowers welfare for a more general class of demand functions. Demand varies across markets with additive and multiplicative shift factors. Total welfare (defined as consumer surplus plus profits) with discrimination is lower than with uniform pricing when the density function of consumer va...

  13. Sparse discriminant analysis

    DEFF Research Database (Denmark)

    Clemmensen, Line Katrine Harder; Hastie, Trevor; Witten, Daniela

    2011-01-01

    commonplace in biological and medical applications. In this setting, a traditional approach involves performing feature selection before classification. We propose sparse discriminant analysis, a method for performing linear discriminant analysis with a sparseness criterion imposed such that classification......We consider the problem of performing interpretable classification in the high-dimensional setting, in which the number of features is very large and the number of observations is limited. This setting has been studied extensively in the chemometrics literature, and more recently has become...... and feature selection are performed simultaneously. Sparse discriminant analysis is based on the optimal scoring interpretation of linear discriminant analysis, and can be extended to perform sparse discrimination via mixtures of Gaussians if boundaries between classes are nonlinear or if subgroups...

  14. Discrimination in Modern Society

    OpenAIRE

    Schekach, E. V.; Щекач, Е. В.

    2013-01-01

    Issues of discrimination in modern society are examined in the article. Types of discrimination, ways of demonstration, methods of combating discrimination and inequality are described. Particular attention is paid to the legal basis and the real life stories, which serve as a material base for judgments how to prevent discrimination. Possible ways are suggested to eliminate such a negative phenomenon of society like discrimination. Статья посвящена вопросам дискриминации в современном общ...

  15. Profiles of Everyday Executive Functioning in Young Children with Down Syndrome

    Science.gov (United States)

    Daunhauer, Lisa A.; Fidler, Deborah J.; Hahn, Laura; Will, Elizabeth; Lee, Nancy Raitano; Hepburn, Susan

    2014-01-01

    We investigated executive functioning (EF) in children with Down syndrome (DS; n = 25) and typically developing (TD) children matched for mental age (MA; n = 23) using the Behavior Rating Inventory of Executive Function-Preschool. We sought to (1) compare children with DS to a developmentally matched control group, and (2) to characterize the EF…

  16. Mortality salience reduces the discrimination between in-group and out-group interactions: A functional MRI investigation using multi-voxel pattern analysis.

    Science.gov (United States)

    Feng, Chunliang; Azarian, Bobby; Ma, Yina; Feng, Xue; Wang, Lili; Luo, Yue-Jia; Krueger, Frank

    2017-03-01

    As a fundamental concern of human beings, mortality salience impacts various human social behaviors including intergroup interactions; however, the underlying neural signature remains obscure. Here, we examined the neural signatures underlying the impact of mortality reminders on in-group bias in costly punishment combining a second-party punishment task with multivariate pattern analysis of fMRI data. After mortality salience (MS) priming or general negative affect priming, participants received offers from racial in-group and out-group proposers and decided how to punish proposers by reducing their payoffs. We revealed that MS priming attenuated in-group bias and dampened the discriminated activation patterns pertaining to group identities in regions previously implicated in costly punishment, including dorsomedial prefrontal cortex, temporo-parietal junction, anterior cingulate cortex, and dorsolateral prefrontal cortex. The group identity represented in multivariate patterns of activity of these regions predicted in-group bias for the control condition, i.e., the stronger discriminative representations of group identities in these regions; the larger was the in-group bias. Furthermore, the in-group bias was reliably decoded by distributed activation patterns in the punishment-related networks but only in the control condition and not in the MS condition. These findings elucidate the neural underpinnings of the effects of mortality reminders on intergroup interaction. Hum Brain Mapp 38:1281-1298, 2017. © 2016 Wiley Periodicals, Inc. © 2016 Wiley Periodicals, Inc.

  17. Amino Acid Profile, Group of Functional and Molecular Weight Distribution of Goat Skin Gelatin That Produced Through Acid Process

    OpenAIRE

    Muhammad Irfan Said; Suharjono Triatmojo; Yuny Erwanto; Achmad Fudholi

    2012-01-01

    Gelatin is a product of hydrolysis of collagen protein from animals that are partially processed.  Gelatin used in food and non food industries.  Gelatin is produced when many import of raw skins and bones of pigs and cows.  Goat skins potential as a raw material substitution that still doubt its halal. Process production of gelatin determine the properties of gelatin. The objectives of this research were to determine amino acid profile, group of functional and molecular weight distribution o...

  18. Anthropometric profile of powerlifters: differences as a function of bodyweight class and competitive success.

    Science.gov (United States)

    Lovera, M; Keogh, J

    2015-05-01

    This study sought to better understand the relationship between anthropometric profile and maximal strength, as assessed in the sport of powerlifting as relatively little research has examined how differences in anthropometry may contribute to bodyweight-related differences in performance or between more and less successful lifters in the same bodyweight class. To address this aim, 63 male powerlifters from an Argentine National Tournament were assessed for 31 anthropometric variables taken using ISAK (International Society for the Advancement of Kinanthropometry) protocols. Body fractionation (adipose, muscle, bone, residual and skin tissue masses) was determined using the validated Kerr & Ross five way fractionation model of body composition that has yet to be used with powerlifters. Results indicated that the powerlifters showed very elevated values of mesomorphy, muscle girths, muscle mass, bone breadths, and all this accompanied by a medium to low stature. Most of these characteristics were more pronounced in the heavier divisions. The winners had significantly larger proportional muscle mass (53.9 ± 2.2%), muscle to bone mass ratio (5.3 ± 1) and crural index (1.21 ± 0.12) than the non-winners. These comparisons reveal some potential key anthropometric determinants of high level powerlifting performance. These results further support the view that while powerlifters have unique anthropometric profiles, more successful powerlifters typically have higher degrees of muscle mass expressed per unit height and/or bone mass but similar segment lengths and segment length ratios to their less successful peers.

  19. A study on starch profile of rajma bean (Phaseolus vulgaris) incorporated noodle dough and its functional characteristics.

    Science.gov (United States)

    Kumar, S Bharath; Prabhasankar, P

    2015-08-01

    Starch profile reflects functional characteristics like digestibility and product quality. A study was aimed to incorporate rajma in noodle processing to improve product and nutritional quality and also to reduce starch digestibility. It is known that some of the pulses like Kidney beans have an isoforms of Starch-Branching-Enzyme (SBE) helps in converting amylose to amylopectin. Rajma flour was incorporated at 10%, 20% and 30% with Triticumdurum and subjected to rheological, physico-chemical and amylose/amylopectin determination using High-Performance-Size-Exclusion-Chromatography (HPSEC). Results revealed that rajma flour decreased peak-viscosity from 954 to 683 BU and increased water absorption. Protein and dietary fiber content increased significantly. Sensory profile showed higher overall quality (>8.5). In vitro starch digestibility reduced from 65% to 49%. Starch profile from HPSEC showed changes in amylose:amylopectin peak, this may be because of the presence of SBE, further studies may be required to support the hypothesis. Copyright © 2015 Elsevier Ltd. All rights reserved.

  20. Gene transcription profiles associated with inter-modular hubs and connection distance in human functional magnetic resonance imaging networks.

    Science.gov (United States)

    Vértes, Petra E; Rittman, Timothy; Whitaker, Kirstie J; Romero-Garcia, Rafael; Váša, František; Kitzbichler, Manfred G; Wagstyl, Konrad; Fonagy, Peter; Dolan, Raymond J; Jones, Peter B; Goodyer, Ian M; Bullmore, Edward T

    2016-10-05

    Human functional magnetic resonance imaging (fMRI) brain networks have a complex topology comprising integrative components, e.g. long-distance inter-modular edges, that are theoretically associated with higher biological cost. Here, we estimated intra-modular degree, inter-modular degree and connection distance for each of 285 cortical nodes in multi-echo fMRI data from 38 healthy adults. We used the multivariate technique of partial least squares (PLS) to reduce the dimensionality of the relationships between these three nodal network parameters and prior microarray data on regional expression of 20 737 genes. The first PLS component defined a transcriptional profile associated with high intra-modular degree and short connection distance, whereas the second PLS component was associated with high inter-modular degree and long connection distance. Nodes in superior and lateral cortex with high inter-modular degree and long connection distance had local transcriptional profiles enriched for oxidative metabolism and mitochondria, and for genes specific to supragranular layers of human cortex. In contrast, primary and secondary sensory cortical nodes in posterior cortex with high intra-modular degree and short connection distance had transcriptional profiles enriched for RNA translation and nuclear components. We conclude that, as predicted, topologically integrative hubs, mediating long-distance connections between modules, are more costly in terms of mitochondrial glucose metabolism.This article is part of the themed issue 'Interpreting BOLD: a dialogue between cognitive and cellular neuroscience'. © 2016 The Authors.

  1. The prostate cancer immunome: In silico functional analysis of antigenic proteins from microarray profiling with IgG.

    Science.gov (United States)

    Luna-Coronell, Johana A; Vierlinger, Klemens; Gamperl, Magdalena; Hofbauer, Johann; Berger, Ingrid; Weinhäusel, Andreas

    2016-04-01

    The study of the immunome of prostate cancer (PCa) and characterization of autoantibody signature from differentially reactive antigens can uncover disease stage proteins, reveal enriched networks and even expose aberrant cellular mechanisms during the disease process. By conducting plasma IgG profiling on protein microarrays presenting 5449 unique human proteins expressed in 15 417 E. coli human cDNA expression clones, we elucidated 471 (21 higher reactive in PCa) differentially reactive antigens in 50 PCa versus 49 patients with benign prostate hyperplasia (BPH) at initial diagnosis. Functional analyzes show that the immune-profile of PCa compared to BPH control samples is significantly enriched in features targeting Cellular assembly, Cell death and pathways involved in Cell cycle, translation, and assembly of proteins as EIF2 signaling, PCa related genes as AXIN1 and TP53, and ribosomal proteins (e.g. RPS10). An overlap of 61 (out of 471) DIRAGs with the published 1545 antigens from the SEREX database has been found, however those were higher reactive in BPH. Clinical relevance is shown when antibody-reactivities against eight proteins were significantly (p < 0.001) correlated with Gleason-score. Herewith we provide a biological and pathophysiological characterization of the immunological layer of cancerous (PCa) versus benign (BPH) disease, derived from antibody profiling on protein microarrays. © 2016 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

  2. Phenotypic and functional profiling of CD4 T cell compartment in distinct populations of healthy adults with different antigenic exposure.

    Directory of Open Access Journals (Sweden)

    Sophie Roetynck

    Full Text Available Multiparameter flow cytometry has revealed extensive phenotypic and functional heterogeneity of CD4 T cell responses in mice and humans, emphasizing the importance of assessing multiple aspects of the immune response in correlation with infection or vaccination outcome. The aim of this study was to establish and validate reliable and feasible flow cytometry assays, which will allow us to characterize CD4 T cell population in humans in field studies more fully.We developed polychromatic flow cytometry antibody panels for immunophenotyping the major CD4 T cell subsets as well as broadly characterizing the functional profiles of the CD4 T cells in peripheral blood. We then validated these assays by conducting a pilot study comparing CD4 T cell responses in distinct populations of healthy adults living in either rural or urban Kenya. This study revealed that the expression profile of CD4 T cell activation and memory markers differed significantly between African and European donors but was similar amongst African individuals from either rural or urban areas. Adults from rural Kenya had, however, higher frequencies and greater polyfunctionality among cytokine producing CD4 T cells compared to both urban populations, particularly for "Th1" type of response. Finally, endemic exposure to malaria in rural Kenya may have influenced the expansion of few discrete CD4 T cell populations with specific functional signatures.These findings suggest that environmentally driven T cell activation does not drive the dysfunction of CD4 T cells but is rather associated with greater magnitude and quality of CD4 T cell response, indicating that the level or type of microbial exposure and antigenic experience may influence and shape the functionality of CD4 T cell compartment. Our data confirm that it is possible and mandatory to assess multiple functional attributes of CD4 T cell response in the context of infection.

  3. High-throughput functional microRNAs profiling by recombinant AAV-based microRNA sensor arrays.

    Directory of Open Access Journals (Sweden)

    Wenhong Tian

    Full Text Available BACKGROUND: microRNAs (miRNAs are small and non-coding RNAs which play critical roles in physiological and pathological processes. A number of methods have been established to detect and quantify miRNA expression. However, method for high-throughput miRNA function detection is still lacking. PRINCIPAL FINDINGS: We describe an adeno-associated virus (AAV vector-based microRNA (miRNA sensor (Asensor array for high-throughput functional miRNA profiling. Each Asensor contains a Gaussia luciferase (Gluc and a firefly luciferase (Fluc expression cassette to sense functional miRNA and to serve as an internal control respectively. Using this array, we acquired functional profiles of 115 miRNAs for 12 cell lines and found "functional miRNA signatures" for several specific cell lines. The activities of specific miRNAs including the let-7 family, miR-17-92 cluster, miR-221, and miR-222 in HEK 293 cells were compared with their expression levels determined by quantitative reverse transcriptase polymerase chain reaction (QRT-PCR. We also demonstrate two other practical applications of the array, including a comparison of the miRNA activity between HEK293 and HEK293T cells and the ability to monitor miRNA activity changes in K562 cells treated with 12-O-tetradecanoylphorbol-13-acetate (TPA. CONCLUSIONS/SIGNIFICANCE: Our approach has potential applications in the identification of cell types, the characterization of biological and pathological processes, and the evaluation of responses to interventions.

  4. Phenotypic and functional profiling of CD4 T cell compartment in distinct populations of healthy adults with different antigenic exposure.

    Science.gov (United States)

    Roetynck, Sophie; Olotu, Ally; Simam, Joan; Marsh, Kevin; Stockinger, Brigitta; Urban, Britta; Langhorne, Jean

    2013-01-01

    Multiparameter flow cytometry has revealed extensive phenotypic and functional heterogeneity of CD4 T cell responses in mice and humans, emphasizing the importance of assessing multiple aspects of the immune response in correlation with infection or vaccination outcome. The aim of this study was to establish and validate reliable and feasible flow cytometry assays, which will allow us to characterize CD4 T cell population in humans in field studies more fully. We developed polychromatic flow cytometry antibody panels for immunophenotyping the major CD4 T cell subsets as well as broadly characterizing the functional profiles of the CD4 T cells in peripheral blood. We then validated these assays by conducting a pilot study comparing CD4 T cell responses in distinct populations of healthy adults living in either rural or urban Kenya. This study revealed that the expression profile of CD4 T cell activation and memory markers differed significantly between African and European donors but was similar amongst African individuals from either rural or urban areas. Adults from rural Kenya had, however, higher frequencies and greater polyfunctionality among cytokine producing CD4 T cells compared to both urban populations, particularly for "Th1" type of response. Finally, endemic exposure to malaria in rural Kenya may have influenced the expansion of few discrete CD4 T cell populations with specific functional signatures. These findings suggest that environmentally driven T cell activation does not drive the dysfunction of CD4 T cells but is rather associated with greater magnitude and quality of CD4 T cell response, indicating that the level or type of microbial exposure and antigenic experience may influence and shape the functionality of CD4 T cell compartment. Our data confirm that it is possible and mandatory to assess multiple functional attributes of CD4 T cell response in the context of infection.

  5. Assessment of epicardial fat volume and myocardial triglyceride content in severely obese subjects: relationship to metabolic profile, cardiac function and visceral fat

    National Research Council Canada - National Science Library

    Gaborit, B; Kober, F; Jacquier, A; Moro, P J; Cuisset, T; Boullu, S; Dadoun, F; Alessi, M-C; Morange, P; Clément, K; Bernard, M; Dutour, A

    2012-01-01

    To assess epicardial fat volume (EFV), myocardial TG content (MTGC) and metabolic profile in severely obese patients, and to determine whether ectopic fat depots are linked to metabolic disorders or myocardial function...

  6. Streamflow profile classification using functional data analysis: A case study on the Kelantan River Basin

    Science.gov (United States)

    Jamaludin, Suhaila

    2017-05-01

    Extreme rainfall events such as floods and prolonged dry spells have become common phenomena in tropical countries like Malaysia. Floods are regular natural disasters in Malaysia, and happen nearly every year during the monsoon season. Recently, the magnitude of streamflow seems to have altered frequently, both spatially and temporally. Therefore, in order to have effective planning and an efficient water management system, it is advisable that streamflow data are analysed continuously over a period of time. If the data are treated as a set of functions rather than as a set of discrete values, then this ensures that they are not restricted by physical time. In addition, the derivatives of the functions may themselves be treated as functional data, which provides new information. The objective of this study is to develop a functional framework for hydrological applications using streamflow as the functional data. The daily flow series from the Kelantan River Basin were used as the main input in this study. Seven streamflow stations were employed in the analysis. Classification between the stations was done using the functional principal component, which was based on the results of the factor scores. The results indicated that two stations, namely the Kelantan River (Guillemard Bridge) and the Galas River, have a different flow pattern from the other streamflow stations. The flow curves of these two rivers are considered as the extreme curves because of their different magnitude and shape.

  7. Bridging topological and functional information in protein interaction networks by short loops profiling

    Science.gov (United States)

    Chung, Sun Sook; Pandini, Alessandro; Annibale, Alessia; Coolen, Anthony C. C.; Thomas, N. Shaun B.; Fraternali, Franca

    2015-02-01

    Protein-protein interaction networks (PPINs) have been employed to identify potential novel interconnections between proteins as well as crucial cellular functions. In this study we identify fundamental principles of PPIN topologies by analysing network motifs of short loops, which are small cyclic interactions of between 3 and 6 proteins. We compared 30 PPINs with corresponding randomised null models and examined the occurrence of common biological functions in loops extracted from a cross-validated high-confidence dataset of 622 human protein complexes. We demonstrate that loops are an intrinsic feature of PPINs and that specific cell functions are predominantly performed by loops of different lengths. Topologically, we find that loops are strongly related to the accuracy of PPINs and define a core of interactions with high resilience. The identification of this core and the analysis of loop composition are promising tools to assess PPIN quality and to uncover possible biases from experimental detection methods. More than 96% of loops share at least one biological function, with enrichment of cellular functions related to mRNA metabolic processing and the cell cycle. Our analyses suggest that these motifs can be used in the design of targeted experiments for functional phenotype detection.

  8. Gene expression profiling during intensive cardiovascular lifestyle modification: Relationships with vascular function and weight loss

    Directory of Open Access Journals (Sweden)

    Heather L. Blackburn

    2015-06-01

    Full Text Available Heart disease and related sequelae are a leading cause of death and healthcare expenditure throughout the world. Although many patients opt for surgical interventions, lifestyle modification programs focusing on nutrition and exercise have shown substantial health benefits and are becoming increasing popular. We conducted a year-long lifestyle modification program to mediate cardiovascular risk through traditional risk factors and to investigate how molecular changes, if present, may contribute to long-term risk reduction. Here we describe the lifestyle intervention, including clinical and molecular data collected, and provide details of the experimental methods and quality control parameters for the gene expression data generated from participants and non-intervention controls. Our findings suggest successful and sustained modulation of gene expression through healthy lifestyle changes may have beneficial effects on vascular health that cannot be discerned from traditional risk factor profiles. The data are deposited in the Gene Expression Omnibus, series GSE46097 and GSE66175.

  9. Fagus sylvatica L. provenances maintain different leaf metabolic profiles and functional response

    Science.gov (United States)

    Aranda, Ismael; Sánchez-Gómez, David; de Miguel, Marina; Mancha, Jose Antonio; Guevara, María Angeles; Cadahía, Estrella; Fernández de Simón, María Brígida

    2017-07-01

    Most temperate forest tree species will suffer important environmental changes as result of the climate change. Adaptiveness to local conditions could change at different sites in the future. In this context, the study of intra-specific variability is important to clarify the singularity of different local populations. Phenotypic differentiation between three beech provenances covering a wide latitudinal range (Spain/ES, Germany/DE and Sweden/SE), was studied in a greenhouse experiment. Non-target leaf metabolite profiles and ecophysiological response was analyzed in well-watered and water stressed seedlings. There was a provenance-specific pattern in the relative concentrations of some leaf metabolites regardless watering treatment. The DE and SE from the center and north of the distribution area of the species showed a clear differentiation from the ES provenance in the relative concentration of some metabolites. Thus the ES provenance from the south maintained larger relative concentration of some organic and amino acids (e.g. fumaric and succinic acids or valine and isoleucine), and in some secondary metabolites (e.g. kaempferol, caffeic and ferulic acids). The ecophysiological response to mild water stress was similar among the three provenances as a consequence of the moderate water stress applied to seedlings, although leaf N isotope composition (δ15N) and leaf C:N ratio were higher and lower respectively in DE than in the other two provenances. This would suggest potential differences in the capacity to uptake and post-process nitrogen according to provenance. An important focus of the study was to address for the first time inter-provenance leaf metabolic diversity in beech from a non-targeted metabolic profiling approach that allowed differentiation of the three studied provenances.

  10. Complex MHC class I gene transcription profiles and their functional impact in orangutans

    Science.gov (United States)

    de Groot, Natasja G.; Heijmans, Corrine M.C.; van der Wiel, Marit K.H.; Blokhuis, Jeroen H.; Mulder, Arend; Guethlein, Lisbeth A.; Doxiadis, Gaby G.M.; Claas, Frans H.J.; Parham, Peter; Bontrop, Ronald E.

    2015-01-01

    MHC haplotypes of humans and the African great ape species have one copy of the MHC-A, -B, and -C genes. In contrast, MHC haplotypes of orangutans, the Asian great ape species, exhibit variation in the number of gene copies. An in-depth analysis of the MHC class I gene repertoire in the two orangutan species, Pongo abelii and Pongo pygmaeus, is presented here. This analysis involved Sanger and next-generation sequencing methodologies, revealing diverse and complicated transcription profiles for orangutan MHC-A, -B, and -C. Thirty-five previously unreported MHC class I alleles are described. The data demonstrate that each orangutan MHC haplotype has one copy of the MHC-A gene, and that the MHC-B region has been subject to duplication, giving rise to at least three MHC-B genes. The MHC-B*03 and -B*08 lineages of alleles each account for a separate MHC-B gene. All MHC-B*08 allotypes have the C1-epitope motif recognized by KIR. At least one other MHC-B gene is present, pointing to MHC-B alleles that are not B*03 or B*08. The MHC-C gene is present only on some haplotypes, and each MHC-C allotype has the C1-epitope. The transcription profiles demonstrate that MHC-A alleles are highly transcribed, whereas MHC-C alleles, when present, are transcribed at very low levels. The MHC-B alleles are transcribed to a variable extent and over a wide range. For those orangutan MHC class I allotypes that are detected by human monoclonal anti-HLA class I antibodies, the level of cell-surface expression of proteins correlates with the level of transcription of the allele. PMID:26685209

  11. Triterpenoid profiling and functional characterization of the initial genes involved in isoprenoid biosynthesis in neem (Azadirachta indica).

    Science.gov (United States)

    Pandreka, Avinash; Dandekar, Devdutta S; Haldar, Saikat; Uttara, Vairagkar; Vijayshree, Shinde G; Mulani, Fayaj A; Aarthy, Thiagarayaselvam; Thulasiram, Hirekodathakallu V

    2015-09-03

    Neem tree (Azadirachta indica) is one of the richest sources of skeletally diverse triterpenoids and they are well-known for their broad-spectrum pharmacological and insecticidal properties. However, the abundance of Neem triterpenoids varies among the tissues. Here, we delineate quantitative profiling of fifteen major triterpenoids across various tissues including developmental stages of kernel and pericarp, flower, leaf, stem and bark using UPLC-ESI(+)-HRMS based profiling. Transcriptome analysis was used to identify the initial genes involved in isoprenoid biosynthesis. Based on transcriptome analysis, two short-chain prenyltransferases and squalene synthase (AiSQS) were cloned and functionally characterized. Quantitative profiling revealed differential abundance of both total and individual triterpenoid content across various tissues. RNA from tissues with high triterpenoid content (fruit, flower and leaf) were pooled to generate 79.08 million paired-end reads using Illumina GA ΙΙ platform. 41,140 transcripts were generated by d e novo assembly. Transcriptome annotation led to the identification of the putative genes involved in isoprenoid biosynthesis. Two short-chain prenyltransferases, geranyl diphosphate synthase (AiGDS) and farnesyl diphosphate synthase (AiFDS) and squalene synthase (AiSQS) were cloned and functionally characterized using transcriptome data. RT-PCR studies indicated five-fold and ten-fold higher relative expression level of AiSQS in fruits as compared to leaves and flowers, respectively. Triterpenoid profiling indicated that there is tissue specific variation in their abundance. The mature seed kernel and initial stages of pericarp were found to contain the highest amount of limonoids. Furthermore, a wide diversity of triterpenoids, especially C-seco triterpenoids were observed in kernel as compared to the other tissues. Pericarp, flower and leaf contained mainly ring-intact triterpenoids. The initial genes such as AiGDS, AiFDS and Ai

  12. Optimal discrimination index and discrimination efficiency for essay questions.

    Science.gov (United States)

    Chan, Wing-shing

    2014-01-01

    Recommended guidelines for discrimination index of multiple choice questions are often indiscriminately applied to essay type questions also. Optimal discrimination index under normality condition for essay question is independently derived. Satisfactory region for discrimination index of essay questions with passing mark at 50% of the total is between 0.12 and 0.31 instead of 0.40 or more in the case for multiple-choice questions. Optimal discrimination index for essay question is shown to increase proportional to the range of scores. Discrimination efficiency as the ratio of the observed discrimination index over the optimal discrimination index is defined. Recommended guidelines for discrimination index of essay questions are provided.

  13. SU-E-T-232: Micro Diamonds - Determination of Their Lateral Response Function Via Gap-Beam Dose Profiles

    Energy Technology Data Exchange (ETDEWEB)

    Poppinga, D; Looe, H; Chofor, N; Schoenfeld, A; Fischer, J; Meyners, J; Delfs, B; Stelljes, T; Poppe, B [University of Oldenburg, Oldenburg, Lower Saxony (Germany); Verona, C; Verona-Rinati, G; Marinelli, M [Rome Tor Vergata University, Roma (Italy); Harder, D [Georg August University, Goettingen, Germany, Goettingen, Niedersachsen (Germany)

    2014-06-01

    Purpose: The aim of this study is the measurement of the lateral response function of microDiamonds by comparison with radiochromic film dose measurement. In this study a TM60019 microDiamond (PTW Freiburg, Germany) and a prototype synthetic diamond detector with smaller sensitive volume were investigated. Methods: Two lead blocks were positioned below the gantry head of an Elekta Synergy accelerator using a gantry mount. Between the blocks two sheets of paper were fixed. The water phantom was positioned below the gantry mount, so that the block to water distance was 20 cm. The gap beam profile was measured at 5 cm water depth by radiochromic EBT3 film and diamond detectors. The film was fixed on a RW3 plate, moved by the step motor system of the phantom and digitized by an Epson 10000XL scanner using the red color channel. Results: The lateral response of the prototype diamond detector is comparable to that of film measurements, i.e. has negligible width. This corresponds to the small detector volume of the prototype detector. In contrast to this the FWHM values of the gap-beam dose profiles measured with the TM60019 detector are somewhat larger, which corresponds to the larger sensitive detector volume. Conclusion: This study has illustrated the high spatial resolution of the diamond detectors. In comparison with filmmeasured narrow-beam dose profiles, the TM60019 has a spatial resolution function of about 2 mm FWHM, whereas the FWHM for the prototype is practically negligible. However due to the low signal caused by the small sensitive volume, measurements with the prototype in clinical routine are a challenge. On the other hand the TM60019 is a good compromise between detector volume and signal output and thus a well suited detector for most clinically relevant small field situations.

  14. Long-Term Neuropsychological Profiles and Their Role as Mediators of Adaptive Functioning after Traumatic Brain Injury in Early Childhood.

    Science.gov (United States)

    Treble-Barna, Amery; Zang, Huaiyu; Zhang, Nanhua; Taylor, H Gerry; Yeates, Keith Owen; Wade, Shari

    2017-01-15

    The objectives of the study were to characterize long-term neuropsychological outcomes following traumatic brain injury (TBI) sustained during early childhood, and determine whether identified neuropsychological impairments mediated the effect of TBI on long-term adaptive functioning. Participants included 16 children with severe TBI, 42 children with moderate TBI, and 72 children with orthopedic injuries (OI) sustained between ages 3 and 7 years. Children completed neuropsychological tests and caregivers completed a structured interview of child adaptive functioning at 6.9 (±1.10) years post-injury. Profile analysis and multiple mediator modeling were employed. Children with severe TBI demonstrated poorer fluid reasoning and inhibitory control than both children with moderate TBI and OI, as well as slower processing speed than the OI group. Both fluid reasoning and processing speed were significant independent mediators of the effect of severe TBI on adaptive functioning. No neuropsychological measure significantly mediated the effect of moderate TBI on adaptive functioning. Children sustaining early severe TBI demonstrate persisting neuropsychological impairments into adolescence and young adulthood. The impact of severe TBI on children's long-term adaptive functioning is mediated in part by its effects on fluid reasoning and processing speed.

  15. Effect of long-term administration of sildenafil on lipid profile and organ functions in hyperlipidemic rats.

    Science.gov (United States)

    El-Mahmoudy, Abubakr M; Shousha, Saad M; Abdel-Maksoud, Hussein; Abouzaid, Omayma

    2013-06-01

    The aim of the present study was to elucidate the possible biochemical alterations in lipid metabolic profile and organ function profiles that may result from continuous treatment with the drug, sildenafil in normal and hyperlipidemic rats. Blood samples were taken for biochemical analysis on days 30, 45 and 60 of the experiment. Sildenafil (5.625 mg/kg) significantly decreased the serum lipid parameters including total lipid, triacylglycerols, cholesterol, HDL-C, LDL-C, VLDL-C concentrations of rats fed on fat-enriched diet. However, it increased their values in serum of negative control rats. In addition, administration of sildenafil to normal rats caused insignificant changes in serum liver enzymes ALT and AST concentrations all over the period of the experiment; as well as serum urea and creatinine; yet, it significantly decreased their serum concentrations in animals fed on fat-enriched diet compared to the +ve untreated ones, upon its administration starting from the 30th day of the experiment.However, concurrent administration of sildenafil with highfat diet (group-iv) failed to guard against the rise in such liver and kidney function biomarkers. These data suggest that sildenafil may act as a mixed blessing drug; therefore it must be used carefully and under physician supervision to get its therapeutic benefits and guard against its adverse effects.

  16. Gene Expression Profiling and Pathway Network Analysis Predicts a Novel Antitumor Function for a Botanical-Derived Drug, PG2

    Directory of Open Access Journals (Sweden)

    Yu-Lun Kuo

    2015-01-01

    Full Text Available PG2 is a botanical drug that is mostly composed of Astragalus polysaccharides (APS. Its role in hematopoiesis and relieving cancer-related fatigue has recently been clinically investigated in cancer patients. However, systematic analyses of its functions are still limited. The aim of this study was to use microarray-based expression profiling to evaluate the quality and consistency of PG2 from three different product batches and to study biological mechanisms of PG2. An integrative molecular analysis approach has been designed to examine significant PG2-induced signatures in HL-60 leukemia cells. A quantitative analysis of gene expression signatures was conducted for PG2 by hierarchical clustering of correlation coefficients. The results showed that PG2 product batches were consistent and of high quality. These batches were also functionally equivalent to each other with regard to how they modulated the immune and hematopoietic systems. Within the PG2 signature, there were five genes associated with doxorubicin: IL-8, MDM4, BCL2, PRODH2, and BIRC5. Moreover, the combination of PG2 and doxorubicin had a synergistic effect on induced cell death in HL-60 cells. Together with the bioinformatics-based approach, gene expression profiling provided a quantitative measurement for the quality and consistency of herbal medicines and revealed new roles (e.g., immune modulation for PG2 in cancer treatment.

  17. Associations of racial discrimination and parental discrimination coping messages with African American adolescent racial identity.

    Science.gov (United States)

    Richardson, Bridget L; Macon, Tamarie A; Mustafaa, Faheemah N; Bogan, Erin D; Cole-Lewis, Yasmin; Chavous, Tabbye M

    2015-06-01

    Research links racial identity to important developmental outcomes among African American adolescents, but less is known about the contextual experiences that shape youths' racial identity. In a sample of 491 African American adolescents (48% female), associations of youth-reported experiences of racial discrimination and parental messages about preparation for racial bias with adolescents' later racial identity were examined. Cluster analysis resulted in four profiles of adolescents varying in reported frequency of racial discrimination from teachers and peers at school and frequency of parental racial discrimination coping messages during adolescents' 8th grade year. Boys were disproportionately over-represented in the cluster of youth experiencing more frequent discrimination but receiving fewer parental discrimination coping messages, relative to the overall sample. Also examined were clusters of adolescents' 11th grade racial identity attitudes about the importance of race (centrality), personal group affect (private regard), and perceptions of societal beliefs about African Americans (public regard). Girls and boys did not differ in their representation in racial identity clusters, but 8th grade discrimination/parent messages clusters were associated with 11th grade racial identity cluster membership, and these associations varied across gender groups. Boys experiencing more frequent discrimination but fewer parental coping messages were over-represented in the racial identity cluster characterized by low centrality, low private regard, and average public regard. The findings suggest that adolescents who experience racial discrimination but receive fewer parental supports for negotiating and coping with discrimination may be at heightened risk for internalizing stigmatizing experiences. Also, the findings suggest the need to consider the context of gender in adolescents' racial discrimination and parental racial socialization.

  18. The 95% confidence intervals of error rates and discriminant coefficients

    Directory of Open Access Journals (Sweden)

    Shuichi Shinmura

    2015-02-01

    Full Text Available Fisher proposed a linear discriminant function (Fisher’s LDF. From 1971, we analysed electrocardiogram (ECG data in order to develop the diagnostic logic between normal and abnormal symptoms by Fisher’s LDF and a quadratic discriminant function (QDF. Our four years research was inferior to the decision tree logic developed by the medical doctor. After this experience, we discriminated many data and found four problems of the discriminant analysis. A revised Optimal LDF by Integer Programming (Revised IP-OLDF based on the minimum number of misclassification (minimum NM criterion resolves three problems entirely [13, 18]. In this research, we discuss fourth problem of the discriminant analysis. There are no standard errors (SEs of the error rate and discriminant coefficient. We propose a k-fold crossvalidation method. This method offers a model selection technique and a 95% confidence intervals (C.I. of error rates and discriminant coefficients.

  19. On Teaching about Discrimination.

    Science.gov (United States)

    Zeller, Richard A.

    1988-01-01

    Describes a classroom assignment which is designed to motivate students' critical thinking skills concerning sex discrimination. Includes data sets for student analysis, instructions for student writing assignments, answers to student work, and suggestions for enhancing critical thinking skills. (GEA)

  20. Profile of Self-Reported Problems with Executive Functioning in College and Professional Football Players

    Science.gov (United States)

    Seichepine, Daniel R.; Stamm, Julie M.; Daneshvar, Daniel H.; Riley, David O.; Baugh, Christine M.; Gavett, Brandon E.; Tripodis, Yorghos; Martin, Brett; Chaisson, Christine; McKee, Ann C.; Cantu, Robert C.; Nowinski, Christopher J.

    2013-01-01

    Abstract Repetitive mild traumatic brain injury (mTBI), such as that experienced by contact-sport athletes, has been associated with the development of chronic traumatic encephalopathy (CTE). Executive dysfunction is believed to be among the earliest symptoms of CTE, with these symptoms presenting in the fourth or fifth decade of life. The present study used a well-validated self-report measure to study executive functioning in football players, compared to healthy adults. Sixty-four college and professional football players were administered the Behavior Rating Inventory of Executive Function, adult version (BRIEF-A) to evaluate nine areas of executive functioning. Scores on the BRIEF-A were compared to published age-corrected normative scores for healthy adults Relative to healthy adults, the football players indicated significantly more problems overall and on seven of the nine clinical scales, including Inhibit, Shift, Emotional Control, Initiate, Working Memory, Plan/Organize, and Task Monitor. These symptoms were greater in athletes 40 and older, relative to younger players. In sum, football players reported more-frequent problems with executive functioning and these symptoms may develop or worsen in the fifth decade of life. The findings are in accord with a growing body of evidence that participation in football is associated with the development of cognitive changes and dementia as observed in CTE. PMID:23421745

  1. Oxidative stress and lung function profiles of male smokers free from ...

    African Journals Online (AJOL)

    2014-06-12

    Jun 12, 2014 ... The authors concluded that even if respiratory function tests are within normal limits, oxidant burden in ... included. Imperfect performance of the respiratory maneu- vers was applied as an exclusion criterion. ...... Respiratory rehabilitation of chronic obstructive pulmonary disease patients: preliminary data of.

  2. Stability and change of emotional functioning in late life: modelling of vulnerability profiles

    NARCIS (Netherlands)

    Beurs, de E.; Comijs, H.C.; Twisk, J.W.R.; Sonnenberg, C.M.; Beekman, A.T.F.; Deeg, D.J.H.

    2005-01-01

    /=55 years). Emotional functioning was conceptualized according to the tripartite model distinguishing three aspects: general negative affect (NA), depression, and anxiety. The study tested models for the decline of mental health in late life based on the diathesis-stress model. In previous studies,

  3. Lipid profiling and transcriptomic analysis reveals a functional interplay between estradiol and growth hormone in liver

    DEFF Research Database (Denmark)

    Fernández-Pérez, Leandro; Santana-Farré, Ruymán; Mirecki-Garrido, Mercedes de

    2014-01-01

    17β-estradiol (E2) may interfere with endocrine, metabolic, and gender-differentiated functions in liver in both females and males. Indirect mechanisms play a crucial role because of the E2 influence on the pituitary GH secretion and the GHR-JAK2-STAT5 signaling pathway in the target tissues. E2,...

  4. Bead Based Proteome Enrichment Enhances Features of the Protein Elution Plate (PEP for Functional Proteomic Profiling

    Directory of Open Access Journals (Sweden)

    Xing Wang

    2015-12-01

    Full Text Available A novel functional proteomics technology called PEP(Protein Elution Plate was developed to separate complex proteomes from natural sources and analyze protein functions systematically. The technology takes advantage of the powerful resolution of two-dimensional gel electrophoresis (2-D Gels. The modification of electrophoretic conditions in combination with a high-resolution protein elution plate supports the recovery of functionally active proteins. As 2DE(2-Dimensional Electrophoresis resolution can be limited by protein load, we investigated the use of bead based enrichment technologies, called AlbuVoid™ and KinaSorb™ to determine their effect on the proteomic features which can be generated from the PEP platform. Using a variety of substrates and enzyme activity assays, we report on the benefits of combining bead based enrichment to improve the signal report and the features generated for Hexokinase, Protein Kinase, Protease, and Alkaline Phosphatase activities. As a result, the PEP technology allows systematic analysis of large enzyme families and can build a comprehensive picture of protein function from a complex proteome, providing biological insights that could otherwise not be observed if only protein abundances were analyzed.

  5. DNA methylation profile associated with rapid decline in kidney function: findings from the CRIC Study

    Science.gov (United States)

    Wing, Maria R.; Devaney, Joseph M.; Joffe, Marshall M.; Xie, Dawei; Feldman, Harold I.; Dominic, Elizabeth A.; Guzman, Nicolas J.; Ramezani, Ali; Susztak, Katalin; Herman, James G.; Cope, Leslie; Harmon, Brennan; Kwabi-Addo, Bernard; Gordish-Dressman, Heather; Go, Alan S.; He, Jiang; Lash, James P.; Kusek, John W.; Raj, Dominic S.

    2014-01-01

    Background Epigenetic mechanisms may be important in the progression of chronic kidney disease (CKD). Methods We studied the genome-wide DNA methylation pattern associated with rapid loss of kidney function using the Infinium HumanMethylation 450 K BeadChip in 40 Chronic Renal Insufficiency (CRIC) study participants (n = 3939) with the highest and lowest rates of decline in estimated glomerular filtration rate. Results The mean eGFR slope was 2.2 (1.4) and −5.1 (1.2) mL/min/1.73 m2 in the stable kidney function group and the rapid progression group, respectively. CpG islands in NPHP4, IQSEC1 and TCF3 were hypermethylated to a larger extent in subjects wit