Sample records for subject classification primary

  1. Classifications of subjects with the language PROLOG. (United States)

    Buzzi, R


    The logical language PROLOG is used for the definition and characterization of groups of subjects. The groups are firstly defined by sets of variables with comparable scales. Secondly, the single members of the groups are characterized by logically structured combinations of variables which do not necessarily have comparable scales. The performance of the characterizations is estimated by determining the rates sensitivity and specificity. The new classification method is applied in a follow-up study including the assessment of the activity of 76 healthy subjects during two controlled experiments. The classification with PROLOG is then compared with the methods of logistic regression and with discriminant analysis. The comparisons demonstrate that, under similar conditions, the results of a classification with PROLOG parallel the results of statistically based classification procedures. In addition, PROLOG permits characterizations of single subjects based on variables from different scientific disciplines.

  2. [Classification of primary bone tumors]. (United States)

    Dominok, G W; Frege, J


    An expanded classification for bone tumors is presented based on the well known international classification as well as earlier systems. The current status and future trends in this area are discussed.

  3. Modified angle's classification for primary dentition

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    Kaushik Narendra Chandranee


    Full Text Available Aim: This study aims to propose a modification of Angle's classification for primary dentition and to assess its applicability in children from Central India, Nagpur. Methods: Modification in Angle's classification has been proposed for application in primary dentition. Small roman numbers i/ii/iii are used for primary dentition notation to represent Angle's Class I/II/III molar relationships as in permanent dentition, respectively. To assess applicability of modified Angle's classification a cross-sectional preschool 2000 children population from central India; 3–6 years of age residing in Nagpur metropolitan city of Maharashtra state were selected randomly as per the inclusion and exclusion criteria. Results: Majority 93.35% children were found to have bilateral Class i followed by 2.5% bilateral Class ii and 0.2% bilateral half cusp Class iii molar relationships as per the modified Angle's classification for primary dentition. About 3.75% children had various combinations of Class ii relationships and 0.2% children were having Class iii subdivision relationship. Conclusions: Modification of Angle's classification for application in primary dentition has been proposed. A cross-sectional investigation using new classification revealed various 6.25% Class ii and 0.4% Class iii molar relationships cases in preschool children population in a metropolitan city of Nagpur. Application of the modified Angle's classification to other population groups is warranted to validate its routine application in clinical pediatric dentistry.

  4. [Primary childhood vasculitis new classification criteria

    DEFF Research Database (Denmark)

    Herlin, T.; Nielsen, Susan


    Primary vasculitis is seen in both adults and children, but some of the diseases like Kawasaki disease occur primarily in children. The Chapel Hill Classification Criteria for primary vasculitis refers to the size of vessels but has not been validated in children. Recently, new criteria for the c......Primary vasculitis is seen in both adults and children, but some of the diseases like Kawasaki disease occur primarily in children. The Chapel Hill Classification Criteria for primary vasculitis refers to the size of vessels but has not been validated in children. Recently, new criteria...

  5. Scientific and General Subject Classifications in the Digital World

    CERN Document Server

    De Robbio, Antonella; Marini, A


    In the present work we discuss opportunities, problems, tools and techniques encountered when interconnecting discipline-specific subject classifications, primarily organized as search devices in bibliographic databases, with general classifications originally devised for book shelving in public libraries. We first state the fundamental distinction between topical (or subject) classifications and object classifications. Then we trace the structural limitations that have constrained subject classifications since their library origins, and the devices that were used to overcome the gap with genuine knowledge representation. After recalling some general notions on structure, dynamics and interferences of subject classifications and of the objects they refer to, we sketch a synthetic overview on discipline-specific classifications in Mathematics, Computing and Physics, on one hand, and on general classifications on the other. In this setting we present The Scientific Classifications Page, which collects groups of...

  6. The role of subject classification in terminological studies

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    Ж Багана


    Full Text Available This article describes the role of subject classification in terminology; defines its specific peculiarities and justifies the choice of the given classification to analyze the specific terminology.

  7. Mathematics Subject Classification: guia ràpida. Setembre 2010


    Universitat de Barcelona. CRAI


    La Mathematics Subject Classification 2010 (MSC 2010) és una revisió de la Mathematics Subject Classification 2000 (MSC 2000), resultat de la col·laboració dels editors de MathSciNet i Zentralblatt MATH per actualitzar la classificació que comparteixen.

  8. Gender classification of running subjects using full-body kinematics (United States)

    Williams, Christina M.; Flora, Jeffrey B.; Iftekharuddin, Khan M.


    This paper proposes novel automated gender classification of subjects while engaged in running activity. The machine learning techniques include preprocessing steps using principal component analysis followed by classification with linear discriminant analysis, and nonlinear support vector machines, and decision-stump with AdaBoost. The dataset consists of 49 subjects (25 males, 24 females, 2 trials each) all equipped with approximately 80 retroreflective markers. The trials are reflective of the subject's entire body moving unrestrained through a capture volume at a self-selected running speed, thus producing highly realistic data. The classification accuracy using leave-one-out cross validation for the 49 subjects is improved from 66.33% using linear discriminant analysis to 86.74% using the nonlinear support vector machine. Results are further improved to 87.76% by means of implementing a nonlinear decision stump with AdaBoost classifier. The experimental findings suggest that the linear classification approaches are inadequate in classifying gender for a large dataset with subjects running in a moderately uninhibited environment.

  9. Soil classification groups to quantify primary salinity, sodicity and ...

    African Journals Online (AJOL)

    This study aimed to quantify the primary salinity, sodicity and alkalinity of South African soils based on soil classification groups and rainfall classes, by using available analysed data. The 73 soil forms used by the Soil Classification Working Group were organised into 11 groups based on the occurrence of specific horizons.

  10. Diagnosis and classification of primary sclerosing cholangitis. (United States)

    Yimam, Kidist K; Bowlus, Christopher L


    Primary sclerosing cholangitis (PSC) is a chronic cholestatic disease of the liver and that is characterized by progressive inflammation, fibrosis, and stricturing of the intrahepatic and extrahepatic bile ducts. It is progressive in most patients and leads to cirrhosis. It is a rare disease, mostly affecting people of northern European descent, males greater than females. The diagnosis is best established by contrast cholangiography, which reveals a characteristic picture of diffuse, multifocal strictures and focal dilation of the bile ducts, leading to a beaded appearance. Inflammatory bowel disease (IBD) is present in ~75% of the patients with PSC, mostly ulcerative colitis (~85% of the cases). In addition to biliary cirrhosis, complications of PSC include dominant strictures of the bile ducts, cholangitis, cholangiocarcinoma, colon dysplasia and cancer in patients with IBD, gallbladder polyps and cancer, and hepatic osteodystrophy. The etiology of PSC is not clear, but studies are ongoing. The median survival without liver transplantation is 12 to 15 years after diagnosis. Currently there are no effective treatments except liver transplantation. Immunosuppressive medications have not been shown to be effective but antibiotics and anti-fibrotic agents seem promising. Copyright © 2014 Elsevier B.V. All rights reserved.

  11. Triple tooth in primary dentition: A proposed classification

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    Gaddam Shilpa


    Full Text Available Triple teeth may result from fusion, gemination or concrescence causing transient esthetic and functional problems in primary dentition and retardation or alteration of development and eruption of permanent successors. We report an unusual case of a boy aged five with fusion among maxillary left primary central incisor, lateral incisor and a supernumerary tooth concomitant with agenesis of permanent lateral incisor. A review of literature on triple tooth was done along with a proposed classification of the triple teeth.

  12. Application of fuzzy classification in modern primary dental care

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    Yauheni Veryha


    Full Text Available This paper describes a framework for implementing fuzzy classifications in primary dental care services. Dental practices aim to provide the highest quality services for their patients. To achieve this, it is important that dentists are able to obtain patients' opinions about their experiences in the dental practice and are able to accurately evaluate this. We propose the use of fuzzy classification to combine various assessment criteria into one general measure to assess patients' satisfaction with primary dental care services. The proposed framework can be used in conventional dental practice information systems and easily integrated with those already used. The benefits of using the proposed fuzzy classification approach include more flexible and accurate analysis of patients' feedback, combining verbal and numeric data. To confirm our theory, a prototype was developed based on the Microsoft TM SQL Server database management system for two criteria used in dental practices, namely making an appointment with a dentist and waiting time for dental care services.

  13. Classification of primary and incisional abdominal wall hernias

    NARCIS (Netherlands)

    F.E. Muysoms (Filip); M. Miserez; F. Berrevoet; G. Campanelli (Giampiero); G.G. Champault; E. Chelala; U.A. Dietz; H.H. Eker (Hasan); I. El Nakadi; P. Hauters; M. Hidalgo Pascual; A. Hoeferlin; U. Klinge; A. Montgomery; R.K.J. Simmermacher; M.P. Simons; M. Śmietański; C. Sommeling; T. Tollens; T. Vierendeels; A. Kingsnorth


    textabstractPurpose: A classification for primary and incisional abdominal wall hernias is needed to allow comparison of publications and future studies on these hernias. It is important to know whether the populations described in different studies are comparable. Methods: Several membersof the EHS

  14. Classification of Cancer Primary Sites Using Machine Learning and Somatic Mutations

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    Yukun Chen


    Full Text Available An accurate classification of human cancer, including its primary site, is important for better understanding of cancer and effective therapeutic strategies development. The available big data of somatic mutations provides us a great opportunity to investigate cancer classification using machine learning. Here, we explored the patterns of 1,760,846 somatic mutations identified from 230,255 cancer patients along with gene function information using support vector machine. Specifically, we performed a multiclass classification experiment over the 17 tumor sites using the gene symbol, somatic mutation, chromosome, and gene functional pathway as predictors for 6,751 subjects. The performance of the baseline using only gene features is 0.57 in accuracy. It was improved to 0.62 when adding the information of mutation and chromosome. Among the predictable primary tumor sites, the prediction of five primary sites (large intestine, liver, skin, pancreas, and lung could achieve the performance with more than 0.70 in F-measure. The model of the large intestine ranked the first with 0.87 in F-measure. The results demonstrate that the somatic mutation information is useful for prediction of primary tumor sites with machine learning modeling. To our knowledge, this study is the first investigation of the primary sites classification using machine learning and somatic mutation data.

  15. Classification of Cancer Primary Sites Using Machine Learning and Somatic Mutations. (United States)

    Chen, Yukun; Sun, Jingchun; Huang, Liang-Chin; Xu, Hua; Zhao, Zhongming


    An accurate classification of human cancer, including its primary site, is important for better understanding of cancer and effective therapeutic strategies development. The available big data of somatic mutations provides us a great opportunity to investigate cancer classification using machine learning. Here, we explored the patterns of 1,760,846 somatic mutations identified from 230,255 cancer patients along with gene function information using support vector machine. Specifically, we performed a multiclass classification experiment over the 17 tumor sites using the gene symbol, somatic mutation, chromosome, and gene functional pathway as predictors for 6,751 subjects. The performance of the baseline using only gene features is 0.57 in accuracy. It was improved to 0.62 when adding the information of mutation and chromosome. Among the predictable primary tumor sites, the prediction of five primary sites (large intestine, liver, skin, pancreas, and lung) could achieve the performance with more than 0.70 in F-measure. The model of the large intestine ranked the first with 0.87 in F-measure. The results demonstrate that the somatic mutation information is useful for prediction of primary tumor sites with machine learning modeling. To our knowledge, this study is the first investigation of the primary sites classification using machine learning and somatic mutation data.

  16. Magnetic resonance imaging texture analysis classification of primary breast cancer

    Energy Technology Data Exchange (ETDEWEB)

    Waugh, S.A.; Lerski, R.A. [Ninewells Hospital and Medical School, Department of Medical Physics, Dundee (United Kingdom); Purdie, C.A.; Jordan, L.B. [Ninewells Hospital and Medical School, Department of Pathology, Dundee (United Kingdom); Vinnicombe, S. [University of Dundee, Division of Imaging and Technology, Ninewells Hospital and Medical School, Dundee (United Kingdom); Martin, P. [Ninewells Hospital and Medical School, Department of Clinical Radiology, Dundee (United Kingdom); Thompson, A.M. [University of Texas MD Anderson Cancer Center, Department of Surgical Oncology, Houston, TX (United States)


    Patient-tailored treatments for breast cancer are based on histological and immunohistochemical (IHC) subtypes. Magnetic Resonance Imaging (MRI) texture analysis (TA) may be useful in non-invasive lesion subtype classification. Women with newly diagnosed primary breast cancer underwent pre-treatment dynamic contrast-enhanced breast MRI. TA was performed using co-occurrence matrix (COM) features, by creating a model on retrospective training data, then prospectively applying to a test set. Analyses were blinded to breast pathology. Subtype classifications were performed using a cross-validated k-nearest-neighbour (k = 3) technique, with accuracy relative to pathology assessed and receiver operator curve (AUROC) calculated. Mann-Whitney U and Kruskal-Wallis tests were used to assess raw entropy feature values. Histological subtype classifications were similar across training (n = 148 cancers) and test sets (n = 73 lesions) using all COM features (training: 75 %, AUROC = 0.816; test: 72.5 %, AUROC = 0.823). Entropy features were significantly different between lobular and ductal cancers (p < 0.001; Mann-Whitney U). IHC classifications using COM features were also similar for training and test data (training: 57.2 %, AUROC = 0.754; test: 57.0 %, AUROC = 0.750). Hormone receptor positive and negative cancers demonstrated significantly different entropy features. Entropy features alone were unable to create a robust classification model. Textural differences on contrast-enhanced MR images may reflect underlying lesion subtypes, which merits testing against treatment response. (orig.)

  17. Mathematics Subject Classification (MSC 2010): guia ràpida [text]. Curs 2017-18


    Universitat de Barcelona. CRAI


    La Mathematics Subject Classification 2010 (MSC 2010) és una revisió de la Mathematics Subject Classification 2000 (MSC 2000), resultat de la col·laboració dels editors de MathSciNet i Zentralblatt MATH per actualitzar la classificació que comparteixen.

  18. Refining Time-Activity Classification of Human Subjects Using the Global Positioning System.

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    Maogui Hu

    Full Text Available Detailed spatial location information is important in accurately estimating personal exposure to air pollution. Global Position System (GPS has been widely used in tracking personal paths and activities. Previous researchers have developed time-activity classification models based on GPS data, most of them were developed for specific regions. An adaptive model for time-location classification can be widely applied to air pollution studies that use GPS to track individual level time-activity patterns.Time-activity data were collected for seven days using GPS loggers and accelerometers from thirteen adult participants from Southern California under free living conditions. We developed an automated model based on random forests to classify major time-activity patterns (i.e. indoor, outdoor-static, outdoor-walking, and in-vehicle travel. Sensitivity analysis was conducted to examine the contribution of the accelerometer data and the supplemental spatial data (i.e. roadway and tax parcel data to the accuracy of time-activity classification. Our model was evaluated using both leave-one-fold-out and leave-one-subject-out methods.Maximum speeds in averaging time intervals of 7 and 5 minutes, and distance to primary highways with limited access were found to be the three most important variables in the classification model. Leave-one-fold-out cross-validation showed an overall accuracy of 99.71%. Sensitivities varied from 84.62% (outdoor walking to 99.90% (indoor. Specificities varied from 96.33% (indoor to 99.98% (outdoor static. The exclusion of accelerometer and ambient light sensor variables caused a slight loss in sensitivity for outdoor walking, but little loss in overall accuracy. However, leave-one-subject-out cross-validation showed considerable loss in sensitivity for outdoor static and outdoor walking conditions.The random forests classification model can achieve high accuracy for the four major time-activity categories. The model also

  19. Refining Time-Activity Classification of Human Subjects Using the Global Positioning System (United States)

    Hu, Maogui; Li, Wei; Li, Lianfa; Houston, Douglas; Wu, Jun


    Background Detailed spatial location information is important in accurately estimating personal exposure to air pollution. Global Position System (GPS) has been widely used in tracking personal paths and activities. Previous researchers have developed time-activity classification models based on GPS data, most of them were developed for specific regions. An adaptive model for time-location classification can be widely applied to air pollution studies that use GPS to track individual level time-activity patterns. Methods Time-activity data were collected for seven days using GPS loggers and accelerometers from thirteen adult participants from Southern California under free living conditions. We developed an automated model based on random forests to classify major time-activity patterns (i.e. indoor, outdoor-static, outdoor-walking, and in-vehicle travel). Sensitivity analysis was conducted to examine the contribution of the accelerometer data and the supplemental spatial data (i.e. roadway and tax parcel data) to the accuracy of time-activity classification. Our model was evaluated using both leave-one-fold-out and leave-one-subject-out methods. Results Maximum speeds in averaging time intervals of 7 and 5 minutes, and distance to primary highways with limited access were found to be the three most important variables in the classification model. Leave-one-fold-out cross-validation showed an overall accuracy of 99.71%. Sensitivities varied from 84.62% (outdoor walking) to 99.90% (indoor). Specificities varied from 96.33% (indoor) to 99.98% (outdoor static). The exclusion of accelerometer and ambient light sensor variables caused a slight loss in sensitivity for outdoor walking, but little loss in overall accuracy. However, leave-one-subject-out cross-validation showed considerable loss in sensitivity for outdoor static and outdoor walking conditions. Conclusions The random forests classification model can achieve high accuracy for the four major time

  20. Magnetic resonance imaging texture analysis classification of primary breast cancer. (United States)

    Waugh, S A; Purdie, C A; Jordan, L B; Vinnicombe, S; Lerski, R A; Martin, P; Thompson, A M


    Patient-tailored treatments for breast cancer are based on histological and immunohistochemical (IHC) subtypes. Magnetic Resonance Imaging (MRI) texture analysis (TA) may be useful in non-invasive lesion subtype classification. Women with newly diagnosed primary breast cancer underwent pre-treatment dynamic contrast-enhanced breast MRI. TA was performed using co-occurrence matrix (COM) features, by creating a model on retrospective training data, then prospectively applying to a test set. Analyses were blinded to breast pathology. Subtype classifications were performed using a cross-validated k-nearest-neighbour (k = 3) technique, with accuracy relative to pathology assessed and receiver operator curve (AUROC) calculated. Mann-Whitney U and Kruskal-Wallis tests were used to assess raw entropy feature values. Histological subtype classifications were similar across training (n = 148 cancers) and test sets (n = 73 lesions) using all COM features (training: 75%, AUROC = 0.816; test: 72.5%, AUROC = 0.823). Entropy features were significantly different between lobular and ductal cancers (p cancers demonstrated significantly different entropy features. Entropy features alone were unable to create a robust classification model. Textural differences on contrast-enhanced MR images may reflect underlying lesion subtypes, which merits testing against treatment response. • MR-derived entropy features, representing heterogeneity, provide important information on tissue composition. • Entropy features can differentiate between histological and immunohistochemical subtypes of breast cancer. • Differing entropy features between breast cancer subtypes implies differences in lesion heterogeneity. • Texture analysis of breast cancer potentially provides added information for decision making.

  1. Critical thinking at primary school design and technology subject


    Zalar, Jona


    Thesis aims to present the state of critical thinking at primary school Design and Technology classes. First, we provide critical thinking definitions in everyday life as it has a key importance role for leading an efficient and quality lifestyle. Further characteristics that a critical thinker has to possess are presented. The guidelines for critical thinking teaching methods are briefly presented. For the field of design and technology subject no particular research focused on critical thin...

  2. International classification of primary care: An Indian experience

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    Sajitha M. F. Rahman


    Full Text Available Background: India is in the process of transition to universal health coverage for Indian citizens. The focus is to strengthen the primary and secondary level services. Coupled with this national scenario, the development of Family medicine as a distinct discipline is in a crucial stage. There is a nation-wide urge to build family medicine training units and service centers across the country to fulfill the unmet health needs of the population. Objectives: This study aimed to bring out reasons for encounter (RFE and morbidity pattern of patients seen in a family physician run urban health center in South India. Methods: The study was conducted in an urban health center of a tertiary care hospital. Clinicians entered the data using International Classification of Primary Care (ICPC codes. Data included were demographics, 3 RFE, 3 diagnoses, 3 outcomes of care that include prescriptions, investigations, procedures, and referrals made. Results: During 47,590 patient encounters, 59,647 RFE, 62,283 diagnoses and 68269 outcomes of care were recorded. The majority of RFEs and diagnoses are in the following ICPC chapters: Endocrinology (38.6%, cardiovascular (35.91%, respiratory (20.26%, digestive (7.68% and musculo-skeletal (6.8%. The most frequent outcome of care was prescriptions, followed by counseling and nebulization. Conclusion: This study is the first to report on the RFE in India. This study demonstrated the breadth of clinical conditions seen by family physicians across all ages and in both genders. This study attempts to highlight the need for family physician based services as a training ground for trainees.

  3. Phoneme representation and classification in primary auditory cortex. (United States)

    Mesgarani, Nima; David, Stephen V; Fritz, Jonathan B; Shamma, Shihab A


    A controversial issue in neurolinguistics is whether basic neural auditory representations found in many animals can account for human perception of speech. This question was addressed by examining how a population of neurons in the primary auditory cortex (A1) of the naive awake ferret encodes phonemes and whether this representation could account for the human ability to discriminate them. When neural responses were characterized and ordered by spectral tuning and dynamics, perceptually significant features including formant patterns in vowels and place and manner of articulation in consonants, were readily visualized by activity in distinct neural subpopulations. Furthermore, these responses faithfully encoded the similarity between the acoustic features of these phonemes. A simple classifier trained on the neural representation was able to simulate human phoneme confusion when tested with novel exemplars. These results suggest that A1 responses are sufficiently rich to encode and discriminate phoneme classes and that humans and animals may build upon the same general acoustic representations to learn boundaries for categorical and robust sound classification.

  4. Connective tissue diseases : Refining the classification criteria for primary Sjögren syndrome

    NARCIS (Netherlands)

    Vissink, Arjan; Bootsma, Hendrika

    The 2016 ACR-EULAR classification criteria for primary Sjogren syndrome, which are intended to facilitate uniform classification of patients for enrolment in clinical studies, combine features of previous criteria sets. These new criteria are a step in the right direction, but further refinement

  5. Reimplementing the Mathematical Subject Classification (MSC) as a Linked Open Dataset

    CERN Document Server

    Lange, Christoph; Dimou, Anastasia; Bratsas, Charalampos; Corneli, Joseph; Sperber, Wolfram; Kohlhase, Michael; Antoniou, Ioannis


    The Mathematics Subject Classification (MSC) is a widely used scheme for classifying documents in mathematics by subject. Its traditional, idiosyncratic conceptualization and representation makes the scheme hard to maintain and requires custom implementations of search, query and annotation support. This limits uptake e.g. in semantic web technologies in general and the creation and exploration of connections between mathematics and related domains (e.g. science) in particular. This paper presents the new official implementation of the MSC2010 as a Linked Open Dataset, building on SKOS (Simple Knowledge Organization System). We provide a brief overview of the dataset's structure, its available implementations, and first applications.

  6. Immunobiology of Primary Antibody Deficiencies: Towards a new classification

    NARCIS (Netherlands)

    G.J.A. Driessen (Gertjan)


    textabstractPrimary antibody deficiencies (PADs) are the most common primary immunodeficiencies. The hallmark of PADs is a defect in the production of normal amounts of antigen specific antibodies. These antibodies or immunoglobulins are indispensible for the adaptive immune response against a wide

  7. Modelling of Freight Trains Classification Using Queueing System Subject to Breakdowns

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    Michal Dorda


    Full Text Available The paper presents a mathematical model and a simulation model of the freight trains classification process. We model the process as a queueing system with a server which is represented by a hump at a marshalling yard. We distinguish two types of shunting over the hump; primary shunting represents the classification of inbound freight trains over the hump (it is the primary function of marshalling yards, and secondary shunting is, for example, represented by the classification of trains of wagons entering the yard via industrial sidings. Inbound freight trains are considered to be customers in the system, and all needs of secondary shunting are failures of the hump because performing secondary shunting occupies the hump, and therefore inbound freight trains cannot be sorted. All random variables of the model are considered to be exponentially distributed with the exception of customer service times which are Erlang distributed. The mathematical model was created using method of stages and can be solved numerically employing a suitable software tool. The simulation model was created using coloured Petri nets. Both models are tested in conditions of a marshalling yard.

  8. Classification and clinicoradiologic features of primary progressive aphasia (PPA) and apraxia of speech. (United States)

    Botha, Hugo; Duffy, Joseph R; Whitwell, Jennifer L; Strand, Edythe A; Machulda, Mary M; Schwarz, Christopher G; Reid, Robert I; Spychalla, Anthony J; Senjem, Matthew L; Jones, David T; Lowe, Val; Jack, Clifford R; Josephs, Keith A


    The consensus criteria for the diagnosis and classification of primary progressive aphasia (PPA) have served as an important tool in studying this group of disorders. However, a large proportion of patients remain unclassifiable whilst others simultaneously meet criteria for multiple subtypes. We prospectively evaluated a large cohort of patients with degenerative aphasia and/or apraxia of speech using multidisciplinary clinical assessments and multimodal imaging. Blinded diagnoses were made using operational definitions with important differences compared to the consensus criteria. Of the 130 included patients, 40 were diagnosed with progressive apraxia of speech (PAOS), 12 with progressive agrammatic aphasia, 9 with semantic dementia, 52 with logopenic progressive aphasia, and 4 with progressive fluent aphasia, while 13 were unclassified. The PAOS and progressive fluent aphasia groups were least impaired. Performance on repetition and sentence comprehension was especially poor in the logopenic group. The semantic and progressive fluent aphasia groups had prominent anomia, but only semantic subjects had loss of word meaning and object knowledge. Distinct patterns of grey matter loss and white matter changes were found in all groups compared to controls. PAOS subjects had bilateral frontal grey matter loss, including the premotor and supplementary motor areas, and bilateral frontal white matter involvement. The agrammatic group had more widespread, predominantly left sided grey matter loss and white matter abnormalities. Semantic subjects had bitemporal grey matter loss and white matter changes, including the uncinate and inferior occipitofrontal fasciculi, whereas progressive fluent subjects only had left sided temporal involvement. Logopenic subjects had diffuse and bilateral grey matter loss and diffusion tensor abnormalities, maximal in the posterior temporal region. A diagnosis of logopenic aphasia was strongly associated with being amyloid positive (46

  9. Classification and clinical features of primary headache in Akaki ...

    African Journals Online (AJOL)


    Abstract. Background: Various forms of headaches are among the most common complaints of the nervous system in neurologic practice. Primary headache disorders are disabling. They are defined based on symptom-profiles on the characteristics of attacks, which general and neurological examinations reveal to be ...

  10. Systematic classification of primary immunodeficiencies based on clinical, pathological, and laboratory parameters. (United States)

    Samarghitean, Crina; Ortutay, Csaba; Vihinen, Mauno


    The classification of diseases has several important applications ranging from diagnosis and choice of treatment to demographics. To date, classifications have been successfully created manually, often within international consortia. Some groups of diseases, such as primary immunodeficiencies (PIDs), are especially hard to nosologically cluster due, on one hand, to the presence of a wide variety of disorders and, in contrast, because of overlapping characteristics. More than 200 PIDs affecting components of the innate and adaptive immune systems have been described. Clinical, pathological, and laboratory characteristics were collected and used to group PIDs. A consensus of at least five independent methods provided a novel classification of 11 groups, which revealed previously unknown features and relationships of PIDs. Comparison of the classification to independent features, including the severity and therapy of the diseases, functional classification of proteins, and network vulnerability, indicated a strong statistical support. The method can be applied to any group of diseases.

  11. An arrhythmia classification algorithm using a dedicated wavelet adapted to different subjects

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    Min Se Dong


    Full Text Available Abstract Background Numerous studies have been conducted regarding a heartbeat classification algorithm over the past several decades. However, many algorithms have also been studied to acquire robust performance, as biosignals have a large amount of variation among individuals. Various methods have been proposed to reduce the differences coming from personal characteristics, but these expand the differences caused by arrhythmia. Methods In this paper, an arrhythmia classification algorithm using a dedicated wavelet adapted to individual subjects is proposed. We reduced the performance variation using dedicated wavelets, as in the ECG morphologies of the subjects. The proposed algorithm utilizes morphological filtering and a continuous wavelet transform with a dedicated wavelet. A principal component analysis and linear discriminant analysis were utilized to compress the morphological data transformed by the dedicated wavelets. An extreme learning machine was used as a classifier in the proposed algorithm. Results A performance evaluation was conducted with the MIT-BIH arrhythmia database. The results showed a high sensitivity of 97.51%, specificity of 85.07%, accuracy of 97.94%, and a positive predictive value of 97.26%. Conclusions The proposed algorithm achieves better accuracy than other state-of-the-art algorithms with no intrasubject between the training and evaluation datasets. And it significantly reduces the amount of intervention needed by physicians.

  12. Real-Time Subject-Independent Pattern Classification of Overt and Covert Movements from fNIRS Signals.

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    Neethu Robinson

    Full Text Available Recently, studies have reported the use of Near Infrared Spectroscopy (NIRS for developing Brain-Computer Interface (BCI by applying online pattern classification of brain states from subject-specific fNIRS signals. The purpose of the present study was to develop and test a real-time method for subject-specific and subject-independent classification of multi-channel fNIRS signals using support-vector machines (SVM, so as to determine its feasibility as an online neurofeedback system. Towards this goal, we used left versus right hand movement execution and movement imagery as study paradigms in a series of experiments. In the first two experiments, activations in the motor cortex during movement execution and movement imagery were used to develop subject-dependent models that obtained high classification accuracies thereby indicating the robustness of our classification method. In the third experiment, a generalized classifier-model was developed from the first two experimental data, which was then applied for subject-independent neurofeedback training. Application of this method in new participants showed mean classification accuracy of 63% for movement imagery tasks and 80% for movement execution tasks. These results, and their corresponding offline analysis reported in this study demonstrate that SVM based real-time subject-independent classification of fNIRS signals is feasible. This method has important applications in the field of hemodynamic BCIs, and neuro-rehabilitation where patients can be trained to learn spatio-temporal patterns of healthy brain activity.

  13. Primary cardiomyopathies: classification, pathophysiology, clinical recognition and management. (United States)

    Seward, J B; Tajik, A J


    In recent years, the definition of cardiomyopathy has been restricted to the idiopathic forms of myocardial disease and has been grouped into three general categories: (1) congestive or dilated cardiomyopathy, (2) hypertrophic cardiomyopathy, and (3) restrictive cardiomyopathy. The history and physical examination and echocardiography appear to be the most helpful in the clinical recognition of these disorders. In general, the prognosis of patients with congestive cardiomyopathy is guarded. Their survival primarily depends on the natural history and progression of the disease as well as the response to treatment with anticongestive drugs. The recent advent of vasodilator therapy has provided additional help to the patient with refractory congestive heart failure. Hypertrophic cardiomyopathy appears to be much more frequently recognized since the advent of echocardiography. The young patient has a much higher incidence of serious complications (combined right and left ventricular outflow obstruction, more generalized hypertrophic cardiomyopathy, and sudden death), and the patient presenting in later life appears to have fewer associated complications. There is a familial association with hypertrophic cardiomyopathy, although the true incidence and full expression of the association is not well understood at present. The majority of adult patients acieve prolonged survival with medical and/or surgical treatment. The restrictive cardiomyopathies are probably the least well understood. All three subgroups (Löffler's endocarditis, primary restrictive cardiomyopathy, and endomyocardial fibrosis) have a guarded prognosis. The acute form (Löffler's endocarditis) is characterized by a debilitating illness with death usually within a couple of months; however, a small percentage of these patients can have long survival and may actually evolve into a more chronic form, i.e., primary restrictive cardiomyopathy or endomyocardial fibrosis. The latter two restrictive myopathies

  14. Subjective wellbeing of primary healthcare patients in the Western ...

    African Journals Online (AJOL)

    Department of Psychology, Stellenbosch University. Correspondence to: Marieanna le .... In Putter's24 study, coping strategies were not good predictors of psychological wellbeing, while in other ..... (Accessed 14/11/2005). 33. Diener E. Subjective well-being: the science of happiness and a proposal for a national index.

  15. Data-driven classification of patients with primary progressive aphasia. (United States)

    Hoffman, Paul; Sajjadi, Seyed Ahmad; Patterson, Karalyn; Nestor, Peter J


    Current diagnostic criteria classify primary progressive aphasia into three variants-semantic (sv), nonfluent (nfv) and logopenic (lv) PPA-though the adequacy of this scheme is debated. This study took a data-driven approach, applying k-means clustering to data from 43 PPA patients. The algorithm grouped patients based on similarities in language, semantic and non-linguistic cognitive scores. The optimum solution consisted of three groups. One group, almost exclusively those diagnosed as svPPA, displayed a selective semantic impairment. A second cluster, with impairments to speech production, repetition and syntactic processing, contained a majority of patients with nfvPPA but also some lvPPA patients. The final group exhibited more severe deficits to speech, repetition and syntax as well as semantic and other cognitive deficits. These results suggest that, amongst cases of non-semantic PPA, differentiation mainly reflects overall degree of language/cognitive impairment. The observed patterns were scarcely affected by inclusion/exclusion of non-linguistic cognitive scores. Copyright © 2017 The Authors. Published by Elsevier Inc. All rights reserved.

  16. [Classifications and definitions of adverse events in primary care: a systematic review]. (United States)

    Keriel-Gascou, Maud; Figon, Sophie; Letrilliart, Laurent; Chaneliére, Marc; Colin, Cyrille


    In an aim to standardize the terminology used in patient safety research, the World Health Organization (WHO) has recommended the use of internationally acceptable patient safety concepts for the collection and classification of adverse events and near misses in health care settings worldwide. The principal aims of this study were to clarify patient safety terminology and concepts, to suggest a comprehensible definition of medical error, and to propose patient safety classifications for use in primary health care. Systematic review and synthesis of the international medical literature. In order to define "medical error" as a health care term and to identify various published or unpublished classifications of medical errors, we searched the Medline, Web of Science, Cochrane Library, Pascal, and French Data Bank of Public Health bibliographical medical databases for the years 2000 through 2011. A grey literature search was carried out using the Google and Google Scholar search engines. We used the recommendations of WHO to analyze these classifications. The principal key words used were: primary care, family practice, patient safety event, adverse event and taxonomy. The online search identified 191 documents; among these, 51 articles, eight reports and two books were deemed appropriate. Twelve classifications were analyzed and compared using WHO recommendations. Eight definitions of medical error were identified during this analysis. The WHO Alliance for Patient Safety has clarified the definition of several terms - medical error, adverse event, patient safety event, and near miss - through the development of the International Patient Safety Event Classification. This conceptual framework and classification for patient safety should be applicable across the full spectrum of health care, including primary health care. Copyright © 2011 Elsevier Masson SAS. All rights reserved.

  17. Confusion over and consideration about classification and definition of primary angle-closure glaucoma

    Directory of Open Access Journals (Sweden)

    You-Qin Sun


    Full Text Available This paper reflected upon the clinical confusion over the classification and definition of primary angle-closure glaucoma proposed by International Society of Geographical and Epidemiological Ophthalmology(ISGEO. It is pointed out that lack of unified standards for glaucoma is the root of the confusion, and a preliminary discussion is made on the definition of glaucoma.

  18. Diagnosis and Classification of 17 Diseases from 1404 Subjects via Pattern Analysis of Exhaled Molecules. (United States)

    Nakhleh, Morad K; Amal, Haitham; Jeries, Raneen; Broza, Yoav Y; Aboud, Manal; Gharra, Alaa; Ivgi, Hodaya; Khatib, Salam; Badarneh, Shifaa; Har-Shai, Lior; Glass-Marmor, Lea; Lejbkowicz, Izabella; Miller, Ariel; Badarny, Samih; Winer, Raz; Finberg, John; Cohen-Kaminsky, Sylvia; Perros, Frédéric; Montani, David; Girerd, Barbara; Garcia, Gilles; Simonneau, Gérald; Nakhoul, Farid; Baram, Shira; Salim, Raed; Hakim, Marwan; Gruber, Maayan; Ronen, Ohad; Marshak, Tal; Doweck, Ilana; Nativ, Ofer; Bahouth, Zaher; Shi, Da-You; Zhang, Wei; Hua, Qing-Ling; Pan, Yue-Yin; Tao, Li; Liu, Hu; Karban, Amir; Koifman, Eduard; Rainis, Tova; Skapars, Roberts; Sivins, Armands; Ancans, Guntis; Liepniece-Karele, Inta; Kikuste, Ilze; Lasina, Ieva; Tolmanis, Ivars; Johnson, Douglas; Millstone, Stuart Z; Fulton, Jennifer; Wells, John W; Wilf, Larry H; Humbert, Marc; Leja, Marcis; Peled, Nir; Haick, Hossam


    We report on an artificially intelligent nanoarray based on molecularly modified gold nanoparticles and a random network of single-walled carbon nanotubes for noninvasive diagnosis and classification of a number of diseases from exhaled breath. The performance of this artificially intelligent nanoarray was clinically assessed on breath samples collected from 1404 subjects having one of 17 different disease conditions included in the study or having no evidence of any disease (healthy controls). Blind experiments showed that 86% accuracy could be achieved with the artificially intelligent nanoarray, allowing both detection and discrimination between the different disease conditions examined. Analysis of the artificially intelligent nanoarray also showed that each disease has its own unique breathprint, and that the presence of one disease would not screen out others. Cluster analysis showed a reasonable classification power of diseases from the same categories. The effect of confounding clinical and environmental factors on the performance of the nanoarray did not significantly alter the obtained results. The diagnosis and classification power of the nanoarray was also validated by an independent analytical technique, i.e., gas chromatography linked with mass spectrometry. This analysis found that 13 exhaled chemical species, called volatile organic compounds, are associated with certain diseases, and the composition of this assembly of volatile organic compounds differs from one disease to another. Overall, these findings could contribute to one of the most important criteria for successful health intervention in the modern era, viz. easy-to-use, inexpensive (affordable), and miniaturized tools that could also be used for personalized screening, diagnosis, and follow-up of a number of diseases, which can clearly be extended by further development.

  19. Classification of heart rate signals of healthy and pathological subjects using threshold based symbolic entropy. (United States)

    Aziz, Wajid; Rafique, M; Ahmad, I; Arif, M; Habib, Nazneen; Nadeem, M S A


    The dynamical fluctuations of biological signals provide a unique window to construe the underlying mechanism of the biological systems in health and disease. Recent research evidences suggest that a wide class of diseases appear to degrade the biological complexity and adaptive capacity of the system. Heart rate signals are one of the most important biological signals that have widely been investigated during the last two and half decades. Recent studies suggested that heart rate signals fluctuate in a complex manner. Various entropy based complexity analysis measures have been developed for quantifying the valuable information that may be helpful for clinical monitoring and for early intervention. This study is focused on determining HRV dynamics to distinguish healthy subjects from patients with certain cardiac problems using symbolic time series analysis technique. For that purpose, we have employed recently developed threshold based symbolic entropy to cardiac inter-beat interval time series of healthy, congestive heart failure and atrial fibrillation subjects. Normalized Corrected Shannon Entropy (NCSE) was used to quantify the dynamics of heart rate signals by continuously varying threshold values. A rule based classifier was implemented for classification of different groups by selecting threshold values for the optimal separation. The findings indicated that there is reduction in the complexity of pathological subjects as compared to healthy ones at wide range of threshold values. The results also demonstrated that complexity decreased with disease severity.

  20. Classification (United States)

    Clary, Renee; Wandersee, James


    In this article, Renee Clary and James Wandersee describe the beginnings of "Classification," which lies at the very heart of science and depends upon pattern recognition. Clary and Wandersee approach patterns by first telling the story of the "Linnaean classification system," introduced by Carl Linnacus (1707-1778), who is…

  1. An Investigation of Primary School Teachers' PCK towards Science Subjects Using an Inquiry-Based Approach

    National Research Council Canada - National Science Library

    Menşure Alkiş Küçükaydin; Şafak Uluçinar Sağir


    .... According to the results of the study, in which descriptive and content analysis were used concurrently, primary school teachers lack subject matter knowledge, do not interrogate the pre-knowledge...

  2. Relations between contents from teaching subjects mathematics and physical and health education in primary education


    Jovanova-Mitkovska, Snezana; Popeska, Biljana


    Considering modern educational tendency in the system of primary education that refers to the possibilities to establish integration - correlation relationships between educational contents from different teaching subjects in primary education, in this paper we made a theoretical elaboration of contents from two teaching subjects: math and physical and health education as an approach that allows efficient acquisition of knowledge and their efficient application in everyday life. The analyses ...

  3. The Effect of Applying Elements of Instructional Design on Teaching Material for the Subject of Classification of Matter (United States)

    Ozdilek, Zehra; Ozkan, Muhlis


    The aim of this study was to examine the effect of instructional materials for the subject of classification of matter as solids, liquids and gases that were developed using a holistic instructional design model on student achievement. In the study a pre-test/post-test with control group experimental design was used. The study was conducted in the…

  4. Classification

    DEFF Research Database (Denmark)

    Hjørland, Birger


    This article presents and discusses definitions of the term “classification” and the related concepts “Concept/conceptualization,”“categorization,” “ordering,” “taxonomy” and “typology.” It further presents and discusses theories of classification including the influences of Aristotle...... and Wittgenstein. It presents different views on forming classes, including logical division, numerical taxonomy, historical classification, hermeneutical and pragmatic/critical views. Finally, issues related to artificial versus natural classification and taxonomic monism versus taxonomic pluralism are briefly...

  5. Who Teaches Primary Physical Education? Change and Transformation through the Eyes of Subject Leaders (United States)

    Jones, Luke; Green, Ken


    Primary physical education (PE) lessons tend to be taught by one, or a combination of, three different groups: generalist classroom teachers, specialist primary PE teachers and so-called adults other than teachers, who are almost exclusively sports coaches. Drawing upon data gathered from one-to-one interviews with 36 subject leaders (SLs), this…

  6. Does Teaching English in Saudi Primary Schools Affect Students’ Academic Achievement in Arabic Subjects?

    Directory of Open Access Journals (Sweden)

    Othman Aljohani


    Full Text Available The global trend of introducing second language learning, namely, English, in primary schools is increasing. In Saudi Arabia, where English has never been taught in primary schools, the government to implement English as a second language at the primary level in 2005; however, this generated controversy. Opposition to the learning of English has been based on religious, cultural, and educational arguments. The latter argument consists of claims that learning English at a young age might influence children’s mother tongue development and influence their academic success. This paper investigates the impact of teaching English in Saudi primary schools on students’ achievement in Arabic-language subjects. This quantitative research aims to inform the debate on second language learning in primary schools by studying children’s examination results in the Arabic subject areas of grammar, reading, and writing. The sample consisted of primary school students from years 1 to 6 as well as year 6 students from the last year before (2004 and the first year after (2005 the introduction of English. Student results from four primary schools (two government schools and two private schools were collected and analysed. This study found no indication of a positive or negative impact of learning English on students’ achievement in Arabic subjects. However, private school students who studied English beginning in their first year of school had better results in the Arabic subjects that were the focus of this research. Keywords: second language acquisition, language impact, ESL

  7. Single-subject classification of schizophrenia using event-related potentials obtained during auditory and visual oddball paradigms. (United States)

    Neuhaus, Andres H; Popescu, Florin C; Bates, John A; Goldberg, Terry E; Malhotra, Anil K


    In the search for the biomarkers of schizophrenia, event-related potential (ERP) deficits obtained by applying the classic oddball paradigm are among the most consistent findings. However, the single-subject classification rate based on these parameters remains to be determined. Here, we present a data-driven approach by applying machine learning classifiers to relevant oddball ERPs. Twenty-four schizophrenic patients and 24 matched healthy controls finished auditory and visual oddball tasks while high-density electrophysiological recordings were applied. The N1 component in response to standards and target as well as the P3 component following targets were submitted to different machine learning algorithms and the resulting ERP features were submitted to further correlation analyses. We obtained a classification accuracy of 72.4 % using only two ERP components. Latencies of parietal N1 components to visual standard stimuli at electrode positions Pz and P1 were sufficient for classification. Further analysis revealed a high correlation of these features in controls and an intermediate correlation in schizophrenia patients. These data exemplarily show how automated inference may be applied to classify a pathological state in single subjects without prior knowledge of their diagnoses and illustrate the potential of machine learning algorithms for the identification of potential biomarkers. Moreover, this approach assesses the discriminative accuracy of one of the most consistent findings in schizophrenia research by means of single-subject classification.

  8. Graphical Table of Contents for Library Collections: The Application of Universal Decimal Classification Codes to Subject Maps

    Directory of Open Access Journals (Sweden)

    Victor Herrero-Solano


    Full Text Available The representation of information content by graphical maps is an extended ongoing research topic. The objective of this article consists in verifying whether it is possible to create map displays using Universal Decimal Classification (UDC codes (using co-classification analysis for the purpose of creating a graphical table of contents for a library collection. The application of UDC codes was introduced to subject maps development using the following graphic representation methods: (1 multidimensional scaling; (2 cluster analysis; and (3 neural networks (self-organizing maps. Finally, the authors conclude that the different kinds of maps have slightly different degrees of viability and types of application.

  9. Classification of mental health disorders in preschool and primary school children

    Directory of Open Access Journals (Sweden)

    O.V. Khukhlaeva


    Full Text Available There are different types of mental health disorders in preschool and primary school children. In the case where a child has several violations, their differentiation is difficult. During the life of children, one should pay attention to the style of their behavior, especially in conflict situations. Based on the style of behavior in the conflict and on its content, one can make a classification of mental health disorders in preschool and primary school children. In particular, one should pay attention on children with pronounced line of activity, i.e., with a predominance of assimilation, who use aggressive behavior as a defense mechanism against feelings of surrounding world insecurity; on violations of psychological health, the origins of which lie in the preschool years, including accounting for family relations; on violations of psychological health, the origins of which lie at an early age (for example, if the child has no autonomy, no ability to self-selection, judgments, estimates.

  10. Primary progressive aphasia: Classification of variants in 100 consecutive Brazilian cases

    Directory of Open Access Journals (Sweden)

    Mirna Lie Hosogi Senaha

    Full Text Available ABSTRACT Primary progressive aphasia (PPA is a neurodegenerative clinical syndrome characterized primarily by progressive language impairment. Recently, consensus diagnostic criteria were published for the diagnosis and classification of variants of PPA. The currently recognized variants are nonfluent/agrammatic (PPA-G, logopenic (PPA-L and semantic (PPA-S. Objective: To analyze the demographic data and the clinical classification of 100 PPA cases. Methods: Data from 100 PPA patients who were consecutively evaluated between 1999 and 2012 were analyzed. The patients underwent neurological, cognitive and language evaluation. The cases were classified according to the proposed variants, using predominantly the guidelines proposed in the consensus diagnostic criteria from 2011. Results: The sample consisted of 57 women and 43 men, aged at onset 67.2±8.1 years (range of between 53 and 83 years. Thirty-five patients presented PPA-S, 29 PPA-G and 16 PPA-L. It was not possible to classify 20% of the cases into any one of the proposed variants. Conclusion: It was possible to classify 80% of the sample into one of the three PPA variants proposed. Perhaps the consensus classification requires some adjustments to accommodate cases that do not fit into any of the variants and to avoid overlap where cases fit more than one variant. Nonetheless, the established current guidelines are a useful tool to address the classification and diagnosis of PPA and are also of great value in standardizing terminologies to improve consistency across studies from different research centers.

  11. Classification of the lymphatic drainage status of a primary tumor: a proposal

    Energy Technology Data Exchange (ETDEWEB)

    Munz, D.L.; Maza, S.; Ivancevic, V.; Geworski, L. [Universitaetsklinikum Charite, Berlin (Germany). Klinik fuer Nuklearmedizin


    Aim: Creation of a classification of the lymphatic drainage status of a primary tumour. It shall enable comparison of different approaches, standardisation and quality control. Methods: Identification and topographic localisation of the sentinel node(s) using lymphatic radionuclide gamma camera imaging and/or gamma probe detection and/or vital dye mapping. Results: A classification comprising four classes (D-Class I-IV) and distinct subclasses (A-E) proved to be simply to be learned and applicable as well as reliably reproducible. It is based on the number of sentinel lymph nodes and their locations and can be combined with the pathological and molecular biological lymph node status. D-classes/subclasses obtained in 420 patients with malignant melanoma of the skin are presented. Conclusions: The classification is applicable to different approaches. Its diagnostic, therapeutic and prognostic value should be studied prospectively in those primary tumours which preferably metastasise via their draining lymphatic vessels. (orig.) [German] Ziel: Erstellung einer Klassifikation des Lymphdrainage-Status eines Primaertumors. Sie soll einen Vergleich von verschiedenartigen Untersuchungsmethoden, eine Standardisierung und Qualitaetskontrolle ermoeglichen. Methoden: Identifizierung und topographische Lokalisierung des/der Waechterlymphknoten(s) mittels Lymphabstromszintigraphie und/oder perioperativer Gammasondenmessung und/oder Vitalfarbstoffen. Ergebnisse: Eine aus vier Klassen (D-Klasse I-IV) und diversen Subklassen (A-E) bestehende Klassifikation erwies sich in der klinischen Praxis als einfach erlern- und anwendbar sowie zuverlaessig reproduzierbar. Sie gruendet sich auf die Anzahl der Waechterlymphknoten und ihrer Lokalisationen und kann darueber hinaus mit dem pathologischen und molekularbiologischen Lymphknotenstatus kombiniert werden. Die bei 420 Patienten mit malignem Hautmelanom ermittelten D-Klassen/Subklassen werden praesentiert. Schlussfolgerung: Die

  12. The Surgical Nosology In Primary-care Settings (SNIPS): a simple bridging classification for the interface between primary and specialist care (United States)

    Gruen, Russell L; Knox, Stephanie; Britt, Helena; Bailie, Ross S


    Background The interface between primary care and specialist medical services is an important domain for health services research and policy. Of particular concern is optimising specialist services and the organisation of the specialist workforce to meet the needs and demands for specialist care, particularly those generated by referral from primary care. However, differences in the disease classification and reporting of the work of primary and specialist surgical sectors hamper such research. This paper describes the development of a bridging classification for use in the study of potential surgical problems in primary care settings, and for classifying referrals to surgical specialties. Methods A three stage process was undertaken, which involved: (1) defining the categories of surgical disorders from a specialist perspective that were relevant to the specialist-primary care interface; (2) classifying the 'terms' in the International Classification of Primary Care Version 2-Plus (ICPC-2 Plus) to the surgical categories; and (3) using referral data from 303,000 patient encounters in the BEACH study of general practice activity in Australia to define a core set of surgical conditions. Inclusion of terms was based on the probability of specialist referral of patients with such problems, and specialists' perception that they constitute part of normal surgical practice. Results A four-level hierarchy was developed, containing 8, 27 and 79 categories in the first, second and third levels, respectively. These categories classified 2050 ICPC-2 Plus terms that constituted the fourth level, and which covered the spectrum of problems that were managed in primary care and referred to surgical specialists. Conclusion Our method of classifying terms from a primary care classification system to categories delineated by specialists should be applicable to research addressing the interface between primary and specialist care. By describing the process and putting the bridging

  13. Longitudinal high-density EMG classification: Case study in a glenohumeral TMR subject. (United States)

    Schweisfurth, Meike A; Ernst, Jennifer; Vujaklija, Ivan; Schilling, Arndt F; Farina, Dario; Aszmann, Oskar C; Felmerer, Gunther


    Targeted muscle reinnervation (TMR) represents a breakthrough interface for prosthetic control in high-level upper-limb amputees. However, clinically, it is still limited to the direct motion-wise control restricted by the number of reinnervation sites. Pattern recognition may overcome this limitation. Previous studies on EMG classification in TMR patients experienced with myocontrol have shown greater accuracy when using high-density (HD) recordings compared to conventional single-channel derivations. This case study investigates the potential of HD-EMG classification longitudinally over a period of 17 months post-surgery in a glenohumeral amputee. Five experimental sessions, separated by approximately 3 months, were performed. They were timed during a standard rehabilitation protocol that included intensive physio- and occupational therapy, myosignal training, and routine use of the final myoprosthesis. The EMG signals recorded by HD-EMG grids were classified into 12 classes. The first sign of EMG activity was observed in the second experimental session. The classification accuracy over 12 classes was 76% in the third session and ∼95% in the last two sessions. When using training and testing sets that were acquired with a 1-h time interval in between, a much lower accuracy (32%, Session 4) was obtained, which improved upon prosthesis usage (Session 5, 67%). The results document the improvement in EMG classification accuracy throughout the TMR-rehabilitation process.

  14. Use of the single subject design for practice based primary care research


    Janosky, J.


    The use of a single subject research design is proposed for practice based primary care research. An overview of the rationale of the design, an introduction to the methodology, strengths, limitations, a sample of recent literature citations, a working example, and possible clinical applications are presented.

  15. Validation of TNM classification for metastatic prostatic cancer treated using primary androgen deprivation therapy. (United States)

    Kadono, Yoshifumi; Nohara, Takahiro; Ueno, Satoru; Izumi, Kouji; Kitagawa, Yasuhide; Konaka, Hiroyuki; Mizokami, Atsushi; Onozawa, Mizuki; Hinotsu, Shiro; Akaza, Hideyuki; Namiki, Mikio


    The current tumor-node-metastasis (TNM) classification system has been used for many years. The prognosis of patients with metastatic prostate cancer (mPC) treated using primary androgen deprivation therapy (PADT) was analyzed according to the TNM classification. A total of 5618 cases with lymph node metastases only (N1M0), non-regional lymph node metastasis (M1a), bone metastasis (M1b), and distant metastasis (M1c) were selected from the Japanese Study Group of Prostate Cancer database. Overall survival (OS), cancer-specific survival (CSS), and progression-free survival (PFS) rates were calculated using Kaplan-Meier analysis. The influence of clinical variables on patient prognosis was evaluated using the Cox proportional hazard regression model. The 5-year OS, CSS, and PFS were 76.0, 83.2, and 38.8% in N1M0, 57.5, 69.0, and 23.0% in M1a, 54.0, 63.1, and 23.0% in M1b, and 40.0, 51.5, and 16.6% in M1c, respectively. OS, CSS, and PFS worsened as the stages progressed. OS, CSS, and PFS were all significantly worse in N1M1b compared with N0M1b. Multivariate analysis revealed that OS and CSS were worse in patients with a Gleason score ≥8 and that combined androgen blockade (CAB) treatment provided better OS than non-CAB treatments at any tumor stage. However, OS and CSS were worse in individuals with a prostate-specific antigen >100 ng/ml only in M1b. Patient prognosis worsened with stage progression; therefore, current TNM classification system of mPC for PADT was shown to be trustworthy. Each PC cell that develops bone or lymphoid metastasis may exhibit different characteristics.

  16. Classification of the primary progressive aphasias: principles and review of progress since 2011. (United States)

    Vandenberghe, Rik


    Highly influential recommendations published in 2011 for the classification of the primary progressive aphasias (PPA) distinguished three subtypes: the semantic variant, the nonfluent/agrammatic variant, and the logopenic variant. We review empirical evidence published after 2011 that bears relevance to the validity of the recommended classification scheme. The studies that we review principally rely on monocentric, memory clinic-based consecutive series of PPA patients. We review whether a data-driven analysis of neurolinguistic test scores confirms the subtyping that was based on expert consensus, whether the 2011 subtyping covers the diversity of PPA in a comprehensive manner, and whether the proposed subgroups differ along dimensions that are not explicitly part of the defining criteria, such as diffusion tractography. Data-driven mathematical analyses of neurolinguistic data in PPA broadly confirm the presence of separate clusters corresponding to the subtypes but also leave 15-30% unclassified. A comprehensive description of PPA requires the addition of the mixed variant as a fourth subtype and needs to leave room for cases fulfilling the criteria for a root diagnosis of PPA but not those of any of the three subtypes. Finally, given the limited predictive value of the clinical phenotype for the underlying neuropathology, biomarkers of the underlying pathology are likely of clinical utility in PPA.

  17. Classification and calculation of primary failure modes in bread production line

    Energy Technology Data Exchange (ETDEWEB)

    Tsarouhas, Panagiotis H. [Department of Standardization and Transportation of Products-Logistics, Alexander Technological Educational Institute of Thessaloniki, Agiou Dimitriou 93, 60100 Katerini, Hellas (Greece)], E-mail:


    In this study, we describe the classification methodology over a 2-year period of the primary failure modes in categories based on failure data of bread production line. We estimate the probabilities of these categories applying the chi-square goodness of fit test, and we calculate their joint probabilities of mass function at workstation and line level. Then, we present numerical examples in order to predict the causes and frequencies of breakdowns for workstations and for the entire bread production line that will occur in the future. The methodology is meant to guide bread and bakery product manufacturers, improving the operation of the production lines. It can also be a useful tool to maintenance engineers, who wish to analyze and improve the reliability and efficiency of the manufacturing systems.

  18. Subjectivity

    Directory of Open Access Journals (Sweden)

    Jesús Vega Encabo


    Full Text Available In this paper, I claim that subjectivity is a way of being that is constituted through a set of practices in which the self is subject to the dangers of fictionalizing and plotting her life and self-image. I examine some ways of becoming subject through narratives and through theatrical performance before others. Through these practices, a real and active subjectivity is revealed, capable of self-knowledge and self-transformation. 

  19. [Coping and subjective burden in primary caregivers of dependent elderly relatives in Andalusia, Spain]. (United States)

    Pérez-Cruz, Margarita; Muñoz-Martínez, M Ángeles; Parra-Anguita, Laura; Del-Pino-Casado, Rafael

    To analyse the relationship between the type of coping and subjective burden in caregivers of dependent elderly relatives in Andalusia (Spain). Cross-sectional study. Primary Health Care (autonomous community of Andalusia, Spain). A convenience sample of 198 primary caregivers of dependent elderly relatives. Coping (Brief COPE), subjective burden (caregiver stress index), objective burden (functional capacity [Barthel Index], cognitive impairment [Pfeiffer Test], behavioural problems of the care recipient [Neuropsychiatric Inventory], and caregivers' dedication to caring), gender and kinship. Most caregivers were women (89.4%), daughters of the care recipient (57.1%), and shared home with him/her (69.7%). On controlling for objective burden, gender and kinship, it was found that subjective burden was positively associated with dysfunctional coping (β=0.28; P<.001) and negatively with emotion-focused coping (β=-0.25; P=.001), while no association was found with problem-focused coping. Dysfunctional coping may be a risk factor for subjective burden, and emotion-focused coping may be a protective factor for that subjective burden regardless of the objective burden, and gender and kinship of the caregivers. Copyright © 2016 Elsevier España, S.L.U. All rights reserved.

  20. Effect of recruitment strategy on types of subjects entered into a primary prevention clinical trial. (United States)

    King, A C; Harris, R B; Haskell, W L


    Clinical trials typically recruit subjects through referrals or media promotion, with generalizability of the results often uncertain. As part of a primary prevention trial to evaluate strategies for increasing physical activity in sedentary men and women, two recruitment sources, a random-digit-dial telephone survey and a community media campaign, were used to identify subjects. Baseline characteristics of 357 randomized men and women aged 50 to 65 years were compared by recruitment source. Whereas there were few differences between recruitment sources for demographic variables, telephone survey recruitment was particularly successful in recruiting smokers and persons with other cardiovascular risk factors into the trial. Counter to expectations, subsequent exercise adherence rates did not differ by recruitment source. The results suggest that the survey method, while more expensive, may be particularly useful for locating higher-risk subjects who could especially benefit from increases in physical activity but who rarely are recruited through more traditional approaches.

  1. Alzheimer Disease and Behavioral Variant Frontotemporal Dementia: Automatic Classification Based on Cortical Atrophy for Single-Subject Diagnosis. (United States)

    Möller, Christiane; Pijnenburg, Yolande A L; van der Flier, Wiesje M; Versteeg, Adriaan; Tijms, Betty; de Munck, Jan C; Hafkemeijer, Anne; Rombouts, Serge A R B; van der Grond, Jeroen; van Swieten, John; Dopper, Elise; Scheltens, Philip; Barkhof, Frederik; Vrenken, Hugo; Wink, Alle Meije


    Purpose To investigate the diagnostic accuracy of an image-based classifier to distinguish between Alzheimer disease (AD) and behavioral variant frontotemporal dementia (bvFTD) in individual patients by using gray matter (GM) density maps computed from standard T1-weighted structural images obtained with multiple imagers and with independent training and prediction data. Materials and Methods The local institutional review board approved the study. Eighty-four patients with AD, 51 patients with bvFTD, and 94 control subjects were divided into independent training (n = 115) and prediction (n = 114) sets with identical diagnosis and imager type distributions. Training of a support vector machine (SVM) classifier used diagnostic status and GM density maps and produced voxelwise discrimination maps. Discriminant function analysis was used to estimate suitability of the extracted weights for single-subject classification in the prediction set. Receiver operating characteristic (ROC) curves and area under the ROC curve (AUC) were calculated for image-based classifiers and neuropsychological z scores. Results Training accuracy of the SVM was 85% for patients with AD versus control subjects, 72% for patients with bvFTD versus control subjects, and 79% for patients with AD versus patients with bvFTD (P ≤ .029). Single-subject diagnosis in the prediction set when using the discrimination maps yielded accuracies of 88% for patients with AD versus control subjects, 85% for patients with bvFTD versus control subjects, and 82% for patients with AD versus patients with bvFTD, with a good to excellent AUC (range, 0.81-0.95; P ≤ .001). Machine learning-based categorization of AD versus bvFTD based on GM density maps outperforms classification based on neuropsychological test results. Conclusion The SVM can be used in single-subject discrimination and can help the clinician arrive at a diagnosis. The SVM can be used to distinguish disease-specific GM patterns in patients with AD

  2. The value of structured data elements from electronic health records for identifying subjects for primary care clinical trials. (United States)

    Ateya, Mohammad B; Delaney, Brendan C; Speedie, Stuart M


    An increasing number of clinical trials are conducted in primary care settings. Making better use of existing data in the electronic health records to identify eligible subjects can improve efficiency of such studies. Our study aims to quantify the proportion of eligibility criteria that can be addressed with data in electronic health records and to compare the content of eligibility criteria in primary care with previous work. Eligibility criteria were extracted from primary care studies downloaded from the UK Clinical Research Network Study Portfolio. Criteria were broken into elemental statements. Two expert independent raters classified each statement based on whether or not structured data items in the electronic health record can be used to determine if the statement was true for a specific patient. Disagreements in classification were discussed until 100 % agreement was reached. Statements were also classified based on content and the percentages of each category were compared to two similar studies reported in the literature. Eligibility criteria were retrieved from 228 studies and decomposed into 2619 criteria elemental statements. 74 % of the criteria elemental statements were considered likely associated with structured data in an electronic health record. 79 % of the studies had at least 60 % of their criteria statements addressable with structured data likely to be present in an electronic health record. Based on clinical content, most frequent categories were: "disease, symptom, and sign", "therapy or surgery", and "medication" (36 %, 13 %, and 10 % of total criteria statements respectively). We also identified new criteria categories related to provider and caregiver attributes (2.6 % and 1 % of total criteria statements respectively). Electronic health records readily contain much of the data needed to assess patients' eligibility for clinical trials enrollment. Eligibility criteria content categories identified by our study can be

  3. [Detection and classification of chronic kidney disease in Primary Care and importance of albuminuria]. (United States)

    Labrador, P J; González-Sanchidrián, S; Polanco, S; Davin, E; Fuentes, J M; Gómez-Martino, J R


    Chronic kidney disease (CKD) is a public health problem, and Primary Care (PC) plays a key role in its detection and classification based on estimated glomerular filtration rate (eGFR), as well as the level of albuminuria for its proper management. The aim of this study was to analyse the prevalence and classification of CKD in patients attended in PC. An analysis was made of CKD prevalence and classification according to the Kidney Disease-Improving Global Outcomes guidelines in PC patients. All biochemical analyses requested from PC on patients 18 years and older over a 5-year period were collected. When several analyses were available on a patient, the biochemistry result with the best eGFR was selected. Between 2010 and 2014, PC requested 304,523 biochemical analyses on 97,470 adult patients, with a mean age of 53.4±19.4 years, of which 57.2% were women. CKD prevalence was 7.6%. Urine protein results were present in only 16.6% of analyses, and only 15.2% patients had a urine protein result. Urine albumin was measured 15.4% of biochemical controls with eGFR≥60mL/min/1.73m2, in 27.1% of patients with eGFR between 30-59mL/min/1.73m2 (G3a-3b stages), and in 23.4% of patients with eGFR<30mL/min/1.73m2 (G4-5 stages). Urine albumin was tested in 37.7% of diabetics and in 23.5% of impaired fasting glucose. Requests for the measurement of urine proteins/albumin in PC patients are low, leading to only one in 6 PC patients being classified correctly. The measurement of urine proteins/albumin is higher in CKD and diabetic patients. Copyright © 2017 Sociedad Española de Médicos de Atención Primaria (SEMERGEN). Publicado por Elsevier España, S.L.U. All rights reserved.

  4. Use of SLICC criteria in a large, diverse lupus registry enables SLE classification of a subset of ACR-designated subjects with incomplete lupus. (United States)

    Aberle, Teresa; Bourn, Rebecka L; Chen, Hua; Roberts, Virginia C; Guthridge, Joel M; Bean, Krista; Robertson, Julie M; Sivils, Kathy L; Rasmussen, Astrid; Liles, Meghan; Merrill, Joan T; Harley, John B; Olsen, Nancy J; Karp, David R; James, Judith A


    SLE is traditionally classified using the American College of Rheumatology (ACR) criteria. The Systemic Lupus International Collaborating Clinics (SLICC) recently validated an alternative system. This study examined large cohorts of subjects with SLE and incomplete lupus erythematosus (ILE) to compare the impact of ACR and SLICC criteria. Medical records of subjects in the Lupus Family Registry and Repository were reviewed for documentation of 1997 ACR classification criteria, SLICC classification criteria and medication usage. Autoantibodies were assessed by indirect immunofluorescence (ANA, antidouble-stranded DNA), precipitin (Sm) and ELISA (anticardiolipin). Other relevant autoantibodies were detected by precipitin and with a bead-based multiplex assay. Of 3575 subjects classified with SLE under at least one system, 3312 (92.6%) were classified as SLE by both systems (SLE(both)), 85 only by ACR criteria (SLE(ACR-only)) and 178 only by SLICC criteria (SLE(SLICC-only)). Of 440 subjects meeting 3 ACR criteria, 33.9% (149/440) were SLE(SLICC-only), while 66.1% (n=291, designated ILE) did not meet the SLICC classification criteria. Under the SLICC system, the complement criterion and the individual autoantibody criteria enabled SLE classification of SLE(SLICC-only) subjects, while SLE(ACR-only) subjects failed to meet SLICC classification due to the combined acute/subacute cutaneous criterion. The SLICC criteria classified more African-American subjects by the leucopenia/lymphopenia criterion than did ACR criteria. Compared with SLE(ACR-only) subjects, SLE(SLICC-only) subjects exhibited similar numbers of affected organ systems, rates of major organ system involvement (∼30%: pulmonary, cardiovascular, renal, neurological) and medication history. The SLICC criteria classify more subjects with SLE than ACR criteria; however, individuals with incomplete lupus still exist under SLICC criteria. Subjects who gain SLE classification through SLICC criteria exhibit

  5. Performance of the 2015 ACR-EULAR classification criteria for gout in a primary care population presenting with monoarthritis

    NARCIS (Netherlands)

    Janssens, H.J.E.M.; Fransen, J.; Janssen, M.; Neogi, T.; Schumacher, H.R.; Jansen, T.L; Dalbeth, N.; Taylor, W.J.


    Objective: To test the performance of the 2015 ACR-EULAR gout classification criteria against presence of SF MSU crystals in a primary healthcare population. Methods: The criteria were applied to an existing dataset of consecutive patients with monoarthritis presenting to Dutch family physicians;

  6. The use of the international classification of functioning, disability and health in primary care: Findings of exploratory implementation throughout life

    NARCIS (Netherlands)

    I. Debrouwere (Inge); J. Lebeer (Jo); P.J. Prinzie (Peter)


    markdownabstract__Purpose:__ The International Classification of Functioning (ICF) has found widespread acceptance since it was launched in 2001. Yet, little is known about its use in Primary Care. This paper aims to contribute to the dialogue about the practical use of the ICF by exploring how this

  7. Prevalence of Systemic Sclerosis in Primary Biliary Cholangitis Using the New ACR/EULAR Classification Criteria. (United States)

    Zheng, Boyang; Vincent, Catherine; Fritzler, Marvin J; Senécal, Jean-Luc; Koenig, Martial; Joyal, France


    Systemic sclerosis (SSc) is a well-established disease associated with primary biliary cholangitis (PBC). However, the original 1980 American College of Rheumatology (ACR) criteria have poor sensitivity, especially for the detection of earlier SSc in previous studies. The objective was to evaluate the prevalence of SSc in patients with PBC using more sensitive 2001 LeRoy and Medsger criteria and the 2013 ACR/European League Against Rheumatism (EULAR) classification criteria. The secondary objective was to evaluate the frequency of individual clinical features. One hundred consecutive patients with PBC without previously diagnosed SSc were recruited between 2005 and 2007 from a tertiary care gastroenterology clinic. All patients underwent a complete clinical examination, determination of SSc-specific antibodies, and a nailfold capillary microscopy. Fulfillment of the 3 different criteria sets was analyzed, along with individual disease features. Of 100 patients with PBC, 1% met the ACR 1980 criteria, 22% met the 2001 LeRoy and Medsger criteria for early SSc, and 17% the 2013 ACR/EULAR criteria. Raynaud phenomenon, SSc-related antibodies, and SSc capillaroscopic patterns were the most prevalent findings, with the highest sensitivities to help guide future screening. Our data show a high prevalence of SSc in patients with PBC with probable underestimation by previous studies using the original ACR criteria. Comorbid SSc should be actively searched for based on newly described criteria to improve detection and increase benefits of earlier treatment.

  8. Automated classification of primary progressive aphasia subtypes from narrative speech transcripts. (United States)

    Fraser, Kathleen C; Meltzer, Jed A; Graham, Naida L; Leonard, Carol; Hirst, Graeme; Black, Sandra E; Rochon, Elizabeth


    In the early stages of neurodegenerative disorders, individuals may exhibit a decline in language abilities that is difficult to quantify with standardized tests. Careful analysis of connected speech can provide valuable information about a patient's language capacities. To date, this type of analysis has been limited by its time-consuming nature. In this study, we present a method for evaluating and classifying connected speech in primary progressive aphasia using computational techniques. Syntactic and semantic features were automatically extracted from transcriptions of narrative speech for three groups: semantic dementia (SD), progressive nonfluent aphasia (PNFA), and healthy controls. Features that varied significantly between the groups were used to train machine learning classifiers, which were then tested on held-out data. We achieved accuracies well above baseline on the three binary classification tasks. An analysis of the influential features showed that in contrast with controls, both patient groups tended to use words which were higher in frequency (especially nouns for SD, and verbs for PNFA). The SD patients also tended to use words (especially nouns) that were higher in familiarity, and they produced fewer nouns, but more demonstratives and adverbs, than controls. The speech of the PNFA group tended to be slower and incorporate shorter words than controls. The patient groups were distinguished from each other by the SD patients' relatively increased use of words which are high in frequency and/or familiarity. Copyright © 2012 Elsevier Ltd. All rights reserved.

  9. Development and validation of a microRNA based diagnostic assay for primary tumor site classification of liver core biopsies

    DEFF Research Database (Denmark)

    Perell, Katharina; Vincent, Martin; Vainer, Ben


    negatively affect the accuracy and usability of molecular classifiers. We have developed and validated a microRNA-based classifier, which predicts the primary tumor site of liver biopsies, containing a limited number of tumor cells. Concurrently we explored the influence of surrounding normal tissue...... for normal liver tissue contamination. Performance was estimated by cross-validation, followed by independent validation on 55 liver core biopsies with a tumor content as low as 10%. A microRNA classifier developed, using the statistical contamination model, showed an overall classification accuracy of 74...... on classification. MicroRNA profiling was performed using quantitative Real-Time PCR on formalin-fixed paraffin-embedded samples. 278 primary tumors and liver metastases, representing nine primary tumor classes, as well as normal liver samples were used as a training set. A statistical model was applied to adjust...

  10. Correlation between Ahlbäck radiographic classification and anterior cruciate ligament status in primary knee arthrosis

    Directory of Open Access Journals (Sweden)

    Glaucus Cajaty Martins

    Full Text Available ABSTRACT OBJECTIVE: To correlate the Ahlbäck radiographic classification with the anterior cruciate ligament (ACL status in knee arthritis patients. METHODS: The study evaluated 89 knees of patients who underwent total knee arthroplasty due to primary osteoarthritis: 16 male and 69 females, with mean age 69.79 years (53-87 years. Osteoarthritis was classified radiographically by the Ahlbäck radiographic classification into five grades. The ACL was classified in the surgery as present or absent. The correlation of ACL status and Ahlbäck classification was assessed, as well as those of ACL status and the parameters age, gender, and tibiofemoral angulation (varus-valgus. RESULTS: In cases of varus knees, there was a correlation between grades I to III and ACL presence in 41/47 (86.7% cases and between grades IV and V and ACL absence in 15/17 (88.2% cases (p < 0.0001. In valgus knees, no statistically significant correlation was observed between the ACL status and the Ahlbäck classification. In the present study, absence of the ACL was more common in men (9/17; 52% than in women (19/72; 26%. CONCLUSION: In cases of medial osteoarthritis, the Ahlbäck radiographic classification is a useful parameter to predict ACL status (presence or absence. In gonarthritis in genu valgum, ACL status was not predicted by Ahlbäck's classification.

  11. Spaces, Times, and Knowledge for a Reflective Subjectivity in the Bellaterra Primary School

    Directory of Open Access Journals (Sweden)

    Alejandra Bosco


    Full Text Available In this article we present the results of a narrative inquiry into the construction of subjectivity in primary schools. In this study the researchers' own subjectivities came under the same scrutiny as those who were the focus of the research, and were placed in relation to them. We will discuss the doubts that arose as we carried out our research as well as how our positions as researchers changed over the course of the study. We will also describe our attempts to give voice to teachers and learners through our narratives. This goal led us to produce an account of subjectivity that was relational, process-based, and, sometimes, fragmented. Our interpretation of the representation of childhood/learners and learning in school is based upon how the teachers we have worked with shared a reflective, integral, cooperative, and community view of learning. We will also discuss how learners develop forms of positioning, identification, and differentiation depending on their relationships with others. In this way we have been able to reconstruct the way in which learners' subjectivities are formed by narrating scenes observed in classrooms with different groups of peers, and in other areas of the school where these groups carry out different activities. URN: urn:nbn:de:0114-fqs0902273

  12. “Moderate Class, More Knowledge” Vocational Subjects in Primary School Curriculum in Thailand

    Directory of Open Access Journals (Sweden)

    Chaveewan Charoensap


    Full Text Available This research focuses on the attitudes and opinions of administrators, teachers, parents and students on the vocational subjects in primary school curriculum in Thailand after educational reform 1992 and the Thai government policy ‘Moderate Class More Knowledge’ since 2015. Special emphasis is on curriculum and the teaching-learning process regarding vocational subjects in primary schools in Thailand. As per the post-1992 curriculum, the teachers have to train the pupils to carry out skill-based activities using the new methods and techniques in the teaching-learning process. It consists of Work-oriented Experiences ; this deals with general practical work experiences and basic knowledge for career preparation and starts from grade 1. And it consists of Special Experience ; dealing with activities based on learners’ interests provided for those in grades 5-6.Each school can organize learning activities according to learners’ needs and interests. The vocational training aims to make the Thai children better equipped to face the rapid changing realities of life today in the AEC (ASEAN Economic Community. The nature of teaching and learning activities in schools is conditioned by the needs of the local communities by which the people can apply the acquired knowledge and basic skills to improve their quality of life and their community. These courses have made the learning process more enjoyable as well as more socially useful. The educational reforms of 1992 made certain parts of the curriculum, including general subjects, compulsory for all schools in the country. With regard to the optional subjects, it was realized the each province and each district had different needs. The school education committee consists of school teachers, school administrators, parents and community leaders whom design the optional subjects which are suited for their areas. Research results found more than 90% of administrator, teachers, parents and students

  13. An Investigation of Primary School Teachers’ PCK towards Science Subjects Using an Inquiry-Based Approach

    Directory of Open Access Journals (Sweden)



    Full Text Available In this study, the pedagogical content knowledge (PCK of four experienced primary school teachers was investigated within the “Let’s Solve the Riddle of Our Body Unit”. The PCK investigation adopted a learning approach based on inquiry, content representation and pedagogical and professional-experience repertoires (PaP-eRs, and interview forms were used as data collection tools. During the course of the research, the findings obtained from observations made during a total of 18 course hours formed the basic data source of the study. According to the results of the study, in which descriptive and content analysis were used concurrently, primary school teachers lack subject matter knowledge, do not interrogate the pre-knowledge of students and some misconceptions exist regarding about blood moves and exercise with pulse. Additionally, some deficiencies were detected in the curriculum, i.e., it offers non-inquisitional knowledge. Furthermore, teachers employee assessment methods with traditional teaching methods and techniques. In the context of an inquiry-based learning approach, teachers appeared to believe that classroom activities were adversely affected by the physical conditions (class size, lack of laboratory etc., students’ cognitive levels and parent profiles. The result of this study revealed that PCK components affect one another. The PCK findings pertaining to primary school teachers as it concerns the unit are briefly discussed and some suggestions about the development of PCK are submitted.

  14. Etiology of anemia in primary hypothyroid subjects in a tertiary care center in Eastern India

    Directory of Open Access Journals (Sweden)

    Chanchal Das


    Full Text Available Introduction: The association of anemia with primary hypothyroidism has been common knowledge for many years. However; its pathogenesis is far from clear in many cases. Often the causes of anemia are manifold. Aims and objectives: In this study, we evaluated the causes of anemia in patients with primary hypothyroidism. Materials and Methods : Sixty adult nonpregnant untreated primary hypothyroid patients with anemia without any obvious cause were included. All patients were subjected to full medical history, clinical examination, biochemical and imaging studies. Serum iron profile, vitamin B12, folic acid, anti parietal cell antibody, anti TPO antibody, bone marrow study, and stool for occult blood, Coomb′s test, HPLC for hemoglobinopathies and complete hemogram with reticulocyte count were done and analyzed. Results: Normocytic, normochromic anemia was present in 31 patients (51.6% followed by microcytic anemia in 26 patients (43.3%. Six patients (10% had megaloblastic anemia with vitamin B12 deficiency including 3 cases of pernicious anemia. Two patients had combined deficiency of iron and vitamin B12. Conclusion: Normocytic normochromic anemia with normal bone marrow was commonest type of anemia in this study, followed by iron deficiency anemia.

  15. Texture analysis of bone marrow in knee MRI for classification of subjects with bone marrow lesion - data from the Osteoarthritis Initiative. (United States)

    Chuah, Tong Kuan; Van Reeth, Eric; Sheah, Kenneth; Poh, Chueh Loo


    Visualization of bone marrow lesion (BML) can improve the diagnosis of many bone disorders that are associated with it. A quantitative approach in detecting BML could increase the accuracy and efficiency of diagnosing those bone disorders. In this paper, we investigated the feasibility of using magnetic resonance imaging (MRI)-based texture to (a) identify slices and (b) classify subjects with and without BML. A total of 58 subjects were studied; 29 of them were affected by BML. The ages of subjects ranged from 45 to 74years with a mean age of 59. Texture parameters were calculated for the weight-bearing region of distal femur. The parameters were then analyzed using Mann-Whitney U test and individual feature selection methods to identify potentially discriminantive parameters. Forward feature selection was applied to select features subset for classification. Classification results from eight classifiers were studied. Results show that 98 of the 147 parameters studied are statistically significantly different between the normal and affected marrows: parameters based on co-occurrence matrix are ranked highest in their separability. The classification of subjects achieved an area under the receiver operating characteristic curve (AUC) of 0.914, and the classification of slices achieved an AUC of 0.780. The results show that MRI-texture-based classification can effectively classify subjects/slices with and without BML. Copyright © 2013 Elsevier Inc. All rights reserved.

  16. ”Nice to have!”: Teacher perceptions of practical and aesthetical curriculum subjects in primary schools


    Aadland Helga; Magne Espeland; Ingrid Grønsdal; Trond Egil Arnesen; Kjetil Sømoe


    In this article we present findings from "Skolefagsundersøkelsen 2011", a national survey mapping teacher perceptions of different aspects of teaching and conditions for the curriculum subjects art & craft, home economics, music, and physical education (PA-subjects), in grades 1-7 in primary school. The questions we focus on and discuss in the article are connected to teachers’ attitudes to this group of subjects, and their use of methods often associated with PA-subjects in other school ...

  17. Language of textbooks in narrative subjects: Understanding words in the seventh grade of primary school

    Directory of Open Access Journals (Sweden)

    Lazarević Emilija


    Full Text Available Hermetic textbook language poses a significant problem in education of the young in our country. The goal of this paper is to point out to the complexity of vocabulary in textbooks, which contributes to students' lack of understanding of what they are reading. Since we established that textbooks in narrative subjects - history, geography and biology - are mostly used during studying and that students mark them as especially difficult for understanding, the subject of this research is precisely the analysis of words which seventh-grade students from primary school state as unfamiliar on a randomly selected, but balanced in terms of length, textbook text of those subjects. The results of frequency analysis indicate that there are a lot of unfamiliar expert words, and frequently the same number, or even more, of common Serbian words in textbook texts, especially in history. Approximately the same or even larger number of unfamiliar words occurs in familiar texts when compared to unfamiliar, which indicates that the previous usage of texts does not contribute to their understanding. Based on correlation analysis referring to the number of unfamiliar words, frequency of textbook usage, perception of difficulty of the text in textbook, general and the achievement in the particular subject, it was determined that unfamiliar words are not only mentioned by students with low grades, although they do it more often, nor that only these students are the ones complaining how difficult textbooks are to them. Based on regression analysis, the number of unfamiliar words, especially in the history textbook, even figures as a predictor of success, which seems contradictory and can be interpreted differently. The results point out to the fact that inaccessibility of textbook language mostly does not guide the students to learn new words, but causes revolt and thus disables the development of language, scientific concepts and acquiring professional terminology

  18. Meta-analysis of the accuracy of tools used for binary classification when the primary studies employ different references. (United States)

    Botella, Juan; Huang, Huiling; Suero, Manuel


    The quality of tools used in binary classification is evaluated by studies that assess the accuracy of the classification. The empirical evidence is summarized in 2 × 2 contingency tables. These provide the joint frequencies between the true status of a sample and the classification made by the test. The accuracy of the test is better estimated in a meta-analysis that synthesizes the results of a set of primary studies. The true status is determined by a reference that ideally is a gold standard, which means that it is error free. However, in psychology, it is rare that all the primary studies have employed the same reference, and often they have used an imperfect reference with suboptimal accuracy instead of an actual gold standard. An imperfect reference biases both the estimates of the accuracy of the test and the empirical prevalence of the target status in the primary studies. We discuss several strategies for meta-analysis when different references are employed. Special attention is paid to the simplest case, where the meta-analyst has 1 group of primary studies using a reference that can be considered a gold standard and a 2nd group of primary studies using an imperfect reference. A procedure is recommended in which the frequencies from the primary studies with the imperfect reference are corrected prior to the meta-analysis itself. Then, a hierarchical meta-analytic model is fitted. An example with actual data from SCOFF (Sick-Control-One-Fat-Food; Hill, Reid, Morgan, & Lacey, 2010; Morgan, Reid, & Lacey, 1999) a simple but efficient test for detecting eating disorders, is described. (c) 2015 APA, all rights reserved).

  19. Machine Learning classification of MRI features of Alzheimer's disease and mild cognitive impairment subjects to reduce the sample size in clinical trials. (United States)

    Escudero, Javier; Zajicek, John P; Ifeachor, Emmanuel


    There is a need for objective tools to help clinicians to diagnose Alzheimer's Disease (AD) early and accurately and to conduct Clinical Trials (CTs) with fewer patients. Magnetic Resonance Imaging (MRI) is a promising AD biomarker but no single MRI feature is optimal for all disease stages. Machine Learning classification can address these challenges. In this study, we have investigated the classification of MRI features from AD, Mild Cognitive Impairment (MCI), and control subjects from ADNI with four techniques. The highest accuracy rates for the classification of controls against ADs and MCIs were 89.2% and 72.7%, respectively. Moreover, we used the classifiers to select AD and MCI subjects who are most likely to decline for inclusion in hypothetical CTs. Using the hippocampal volume as an outcome measure, we found that the required group sizes for the CTs were reduced from 197 to 117 AD patients and from 366 to 215 MCI subjects.

  20. The Subject and the Setting: Re-Imagining Opportunities for Primary Teachers' Subject Knowledge Development on School-Based Teacher Education Courses (United States)

    Knight, Rupert


    The landscape of teacher education is undergoing significant change in many countries and this is often associated with a move towards greater school involvement in the preparation of teachers. One aspect of teaching expertise that is particularly challenging for primary student-teachers is the development of subject knowledge across a wide range…

  1. The Semantic Variant of Primary Progressive Aphasia: Clinical and Neuroimaging Evidence in Single Subjects (United States)

    Iaccarino, Leonardo; Crespi, Chiara; Della Rosa, Pasquale Anthony; Catricalà, Eleonora; Guidi, Lucia; Marcone, Alessandra; Tagliavini, Fabrizio; Magnani, Giuseppe; Cappa, Stefano F.; Perani, Daniela


    Background/Aim We present a clinical-neuroimaging study in a series of patients with a clinical diagnosis of semantic variant of primary progressive aphasia (svPPA), with the aim to provide clinical-functional correlations of the cognitive and behavioral manifestations at the single-subject level. Methods We performed neuropsychological investigations, 18F-FDG-PET single-subject and group analysis, with an optimized SPM voxel-based approach, and correlation analyses. A measurement of white matter integrity by means of diffusion tensor imaging (DTI) was also available for a subgroup of patients. Results Cognitive assessment confirmed the presence of typical semantic memory deficits in all patients, with a relative sparing of executive, attentional, visuo-constructional, and episodic memory domains. 18F-FDG-PET showed a consistent pattern of cerebral hypometabolism across all patients, which correlated with performance in semantic memory tasks. In addition, a majority of patients also presented with behavioral disturbances associated with metabolic dysfunction in limbic structures. In a subgroup of cases the DTI analysis showed FA abnormalities in the inferior longitudinal and uncinate fasciculi. Discussion Each svPPA individual had functional derangement involving an extended, connected system within the left temporal lobe, a crucial part of the verbal semantic network, as well as an involvement of limbic structures. The latter was associated with behavioral manifestations and extended beyond the area of atrophy shown by CT scan. Conclusion Single-subject 18F-FDG-PET analysis can account for both cognitive and behavioral alterations in svPPA. This provides useful support to the clinical diagnosis. PMID:25756991

  2. Chronic kidney disease in hypertensive subjects ≥60 years treated in Primary Care. (United States)

    Salvador-González, Betlem; Mestre-Ferrer, Jordi; Soler-Vila, Maria; Pascual-Benito, Luisa; Alonso-Bes, Eva; Cunillera-Puértolas, Oriol

    Hypertension (HT) is the second leading cause of kidney failure. In hypertensive patients with chronic kidney disease (CKD), blood pressure (BP) control is the most important intervention to minimise progression. For CKD diagnosis, standardised creatinine and estimated glomerular filtration rate (eGFR) testing by CKD-EPI is recommended. To describe the prevalence and factors associated with a moderate decrease in eGFR (by CKD-EPI) and BP control in subjects with HT. Cross-sectional descriptive study in subjects ≥ 60 years included in the SIDIAP plus database with hypertension and standardised serum creatinine and BP tests in the last 2years. eGFRrenal function, antiplatelet and lipid lowering agents). BP control criteria: ≤130/80mmHg in individuals with albuminuria, ≤140/90 in all other subjects. Prevalence of eGFR <60=18.8%. Associated factors: age, gender, heart failure, albumin/creatinine ratio, auricular fibrillation, smoking, dyslipidaemia, diabetes and obesity. BP control: 66.14 and 63.24% in eGFR≥60 and eGFR <60, respectively (P<.05). Exposure to drugs was higher in eGFR<60. One in 5hypertensive patients without cardiovascular disease ≥60 years in primary care presented with a moderate decrease in eGFR. In addition to age and sex, albuminuria and heart failure were the main associated factors. Despite the increased exposure to drugs, BP control was lower in CKD. Copyright © 2017 Sociedad Española de Nefrología. Published by Elsevier España, S.L.U. All rights reserved.

  3. Mindfulness, perceived stress, and subjective well-being: a correlational study in primary care health professionals. (United States)

    Atanes, Ana C M; Andreoni, Solange; Hirayama, Marcio S; Montero-Marin, Jesús; Barros, Viviam V; Ronzani, Telmo M; Kozasa, Eliza H; Soler, Joaquim; Cebolla, Ausiàs; Garcia-Campayo, Javier; Demarzo, Marcelo M P


    Primary health care professionals (PHPs) usually report high levels of distress and burnout symptoms related to job strain. Mindfulness, defined as non-judgmental-present-moment awareness, seems to be a moderator in the causal association between life stressors and well-being. This study aimed to verify correlations among self-reported mindfulness, perceived stress (PS), and subjective well-being (SW) in Brazilian PHPs. We performed a correlational cross-sectional study in a purposive sample of Brazilian PHPs (physicians, nurses, nursing assistants, and community health workers), working in community-oriented primary care programs (known locally as "Family Health Programs"). We used validated self-reporting instruments: the Mindful Attention Awareness Scale (MAAS), the Perceived Stress Scale (PSS), and the Subjective Well-being Scale (SWS). We performed a multivariate analysis of variance (MANOVA), through regression coefficients (beta) in relation to the professional category (nursing assistant), in addition to the length of time in the same job (under than 6 months) that had indicated the lowest level of PS. Participants (n=450) comprised community health workers (65.8%), nursing assistants (18%), registered nurses (10.0%), and doctors (family physicians) (6.0%); 94% were female and 83.1% had worked in the same position for more than one year. MANOVA regression analysis showed differences across professional categories and length of time in the same job position in relation to mindfulness, PS, and SW. Nurses demonstrated lower levels of mindfulness, higher PS, and SW negative affect, as well as lower SW positive affect. Being at work for 1 year or longer showed a clear association with higher PS and lower SW positive affect, and no significance with mindfulness levels. Pearson's coefficient values indicated strong negative correlations between mindfulness and PS, and medium correlations between mindfulness and SW. In this study, there were clear correlations

  4. Classification of primary progressive aphasia: Do unsupervised data mining methods support a logopenic variant? (United States)

    Maruta, Carolina; Pereira, Telma; Madeira, Sara C; De Mendonça, Alexandre; Guerreiro, Manuela


    Our objective was to test whether data mining techniques, through an unsupervised learning approach, support the three-group diagnostic model of primary progressive aphasia (PPA) versus the existence of two main/classic groups. A series of 155 PPA patients observed in a clinical setting and subjected to at least one neuropsychological/language assessment was studied. Several demographic, clinical and neuropsychological attributes, grouped in distinct sets, were introduced in unsupervised learning methods (Expectation Maximization, K-Means, X-Means, Hierarchical Clustering and Consensus Clustering). Results demonstrated that unsupervised learning methods revealed two main groups consistently obtained throughout all the analyses (with different algorithms and different set of attributes). One group included most of the agrammatic/non-fluent and some logopenic cases while the other was mainly composed of semantic and logopenic cases. Clustering the patients in a larger number of groups (k > 2) revealed some clusters composed mostly of non-fluent or of semantic cases. However, we could not evidence any group chiefly composed of logopenic cases. In conclusion, unsupervised data mining approaches do not support a clear distinction of logopenic PPA as a separate variant.

  5. The Relationship between Happiness, Subjective Well-Being, Creativity and Job Performance of Primary School Teachers in Ramhormoz City (United States)

    Jalali, Zohreh; Heidari, Alireza


    The research aimed to investigate the relationship between happiness, subjective well-being, creativity and job performance of primary school teachers in Ramhormoz City. Hence, a sample of 330 individuals was selected through random stratified sampling. The research tools included Oxford Happiness Inventory, Subjective Well-being Scale by Keyes…

  6. McKenzie Classification of Extremity Lesions - An audit of primary care patients in 3 clinics

    DEFF Research Database (Denmark)

    Melbye, Martin


    Syndrome classification based on mechanical testing guides clinical decision making in conservative musculoskeletal care. The aim of this audit was to investigate how many patients presenting with problems in the extremities could be classified into the mechanical syndromes described by Robin Mc...

  7. Esophageal motor disorders in subjects with incidentally discovered Chagas disease: a study using high-resolution manometry and the Chicago classification. (United States)

    Remes-Troche, J M; Torres-Aguilera, M; Antonio-Cruz, K A; Vazquez-Jimenez, G; De-La-Cruz-Patiño, E


    In patients with chronic indeterminate Chagas disease, conventional manometry has shown that 25-48% had esophageal motor disorders. Recently, esophageal high-resolution manometry (HRM) has revolutionized the assessment of esophageal motor function. In this study, we performed esophageal HRM in a group of subjects with incidentally positive serological findings for Trypanosoma cruzi. In this prospective observational study, we evaluated subjects who had positive serological tests for Chagas disease detected during a screening evaluation for blood donation. All subjects underwent symptomatic evaluation and esophageal HRM with a 36 solid-state catheter. Esophageal abnormalities were classified using the Chicago classification. Forty-two healthy subjects (38 males) aged 18-61 years (mean age, 40.7 years) were included. When specific symptoms questionnaire was applied, 14 (33%) subjects had esophageal symptoms. Esophageal high-resolution manometry revealed that 28 (66%) of the subjects had an esophageal motility disorder according to the Chicago classification. Most common findings were hypocontractile disorders in 18 subjects (43%) and esophagogastric junction (EGJ) outflow obstruction in 6 (15%). Esophageal high-resolution manometry reveals that up to two thirds of the subjects with an incidental diagnosis of Chagas disease have esophageal abnormalities. This technology increases the detection and allows a more complete assessment of esophageal motor function in subjects infected with T. cruzi even in the early stages of the disease. © 2012 Copyright the Authors. Journal compilation © 2012, Wiley Periodicals, Inc. and the International Society for Diseases of the Esophagus.

  8. Sustainable Architecture in the Context of Education: Reponses of Primary School Teachers on the Topical Subject

    Directory of Open Access Journals (Sweden)

    Cencič Majda


    Full Text Available The concept of sustainability and a sustainable and ecological development are common debate topics in today’s society. This paper discusses the concept of sustainability in green building with regard to schools. The research was conducted on a representative sample of primary school teachers, focusing on some of their opinions on green building. We asked them which aspect of building they favoured and how often they asked themselves certain questions about the school they taught in. Furthermore, we were interested to see whether we would find age-related differences. To this end, teachers were divided into two groups, namely, teachers of up to 35 years of age and teachers over 35. We were surprised to find that teachers over 35 had a more positive attitude towards green building in schools compared to their younger colleagues. Based on the results, we came to a conclusion that the topics pertaining to ecology and sustainable development are neglected in today’s education. However, making them part of school curriculum is not enough, as the opinions and attitudes of teachers on sustainable and ecological issues also have an important impact on the subject-matter itself.

  9. Factors associated with developing a fear of falling in subjects with primary open-angle glaucoma. (United States)

    Adachi, Sayaka; Yuki, Kenya; Awano-Tanabe, Sachiko; Ono, Takeshi; Shiba, Daisuke; Murata, Hiroshi; Asaoka, Ryo; Tsubota, Kazuo


    To investigate the relationship between clinical risk factors, including visual field (VF) defects and visual acuity, and a fear of falling, among patients with primary open-angle glaucoma (POAG). All participants answered the following question at a baseline ophthalmic examination: Are you afraid of falling? The same question was then answered every 12 months for 3 years. A binocular integrated visual field was calculated by merging a patient's monocular Humphrey field analyzer VFs, using the 'best sensitivity' method. The means of total deviation values in the whole, superior peripheral, superior central, inferior central, and inferior peripheral VFs were calculated. The relationship between these mean VF measurements, and various clinical factors, against patients' baseline fear of falling and future fear of falling was analyzed using multiple logistic regression. Among 392 POAG subjects, 342 patients (87.2%) responded to the fear of falling question at least twice in the 3 years study period. The optimal regression model for patients' baseline fear of falling included age, gender, mean of total deviation values in the inferior peripheral VF and number of previous falls. The optimal regression equation for future fear of falling included age, gender, mean of total deviation values in the inferior peripheral VF and number of previous falls. Defects in the inferior peripheral VF area are significantly related to the development of a fear of falling.

  10. Correlation between patients' reasons for encounters/health problems and population density in Japan: a systematic review of observational studies coded by the International Classification of Health Problems in Primary Care (ICHPPC) and the International Classification of Primary care (ICPC). (United States)

    Kaneko, Makoto; Ohta, Ryuichi; Nago, Naoki; Fukushi, Motoharu; Matsushima, Masato


    The Japanese health care system has yet to establish structured training for primary care physicians; therefore, physicians who received an internal medicine based training program continue to play a principal role in the primary care setting. To promote the development of a more efficient primary health care system, the assessment of its current status in regard to the spectrum of patients' reasons for encounters (RFEs) and health problems is an important step. Recognizing the proportions of patients' RFEs and health problems, which are not generally covered by an internist, can provide valuable information to promote the development of a primary care physician-centered system. We conducted a systematic review in which we searched six databases (PubMed, the Cochrane Library, Google Scholar, Ichushi-Web, JDreamIII and CiNii) for observational studies in Japan coded by International Classification of Health Problems in Primary Care (ICHPPC) and International Classification of Primary Care (ICPC) up to March 2015. We employed population density as index of accessibility. We calculated Spearman's rank correlation coefficient to examine the correlation between the proportion of "non-internal medicine-related" RFEs and health problems in each study area in consideration of the population density. We found 17 studies with diverse designs and settings. Among these studies, "non-internal medicine-related" RFEs, which was not thought to be covered by internists, ranged from about 4% to 40%. In addition, "non-internal medicine-related" health problems ranged from about 10% to 40%. However, no significant correlation was found between population density and the proportion of "non-internal medicine-related" RFEs and health problems. This is the first systematic review on RFEs and health problems coded by ICHPPC and ICPC undertaken to reveal the diversity of health problems in Japanese primary care. These results suggest that primary care physicians in some rural areas of Japan

  11. ”Nice to have!”: Teacher perceptions of practical and aesthetical curriculum subjects in primary schools

    Directory of Open Access Journals (Sweden)

    Aadland Helga


    Full Text Available In this article we present findings from "Skolefagsundersøkelsen 2011", a national survey mapping teacher perceptions of different aspects of teaching and conditions for the curriculum subjects art & craft, home economics, music, and physical education (PA-subjects, in grades 1-7 in primary school. The questions we focus on and discuss in the article are connected to teachers’ attitudes to this group of subjects, and their use of methods often associated with PA-subjects in other school subjects, like mathematics and science. Our findings suggest that our teacher informants generally have a very positive attitude to PA-subjects and that they believe in the effects of using PA methods in other subjects. However, in everyday schooling, this does only take place to a very small degree.

  12. Analysis of cervical and global spine alignment under Roussouly sagittal classification in Chinese cervical spondylotic patients and asymptomatic subjects. (United States)

    Yu, Miao; Zhao, Wen-Kui; Li, Mai; Wang, Shao-Bo; Sun, Yu; Jiang, Liang; Wei, Feng; Liu, Xiao-Guang; Zeng, Lin; Liu, Zhong-Jun


    To explore the relationship between cervical spine and the global spine alignment and to postulate the hypotheses that a lordotic alignment of cervical spine is not the only standard to identify asymptomatic subjects, and the degenerative modification of cervical curves depends primarily on their spinal-pelvic alignment. A cohort of 120 cases of Chinese asymptomatic subjects and a cohort of 121 cases of Chinese cervical spondylotic patients were recruited prospectively from 2011 to 2012. Roussouly Classification was utilized to categorize all subjects and patients according to their thoracic spine, lumbar spine and pelvic alignment. The cervical alignments were evaluated as lordosis, straight, sigmoid or kyphosis. Through the lateral X-ray images of neutral cervical and global spine, a number of parameters were measured and analyzed, including pelvic incidence, pelvic tilt, sacral slope, thoracic kyphosis (TK), lumbar lordosis, global cervical angles (angles between two lines parallel with posterior walls of C2 and C7), practical cervical angles (the addition of different cervical end plate angles from C3 to C7, and inter-vertebral angles from C23 to C67), T1 slope, spinal sacral angles (SSA), Hip to C7/Hip to Sacrum and C0-C2 angle. The percentages of cervical lordosis were 28.3% and 36.4% in asymptomatic and spondylotic group, respectively. The cervical spine alignments correlated with Roussouly types of global spine alignment in both asymptomatic and cervical spondylotic group (P Roussouly Type 2 and 4, Type 3 and 4, Type 1 and 3 in cervical angles in spondylotic group (P Roussouly Type 4 (P = 0.00 and 0.01, respectively), and there were significant differences in inter-vertebral angle in Roussouly Type 2 at C4-5 and C5-6 levels (P = 0.04 and 0.04, respectively), and in Roussouly Type 3 at C6-7 level (P = 0.01). The SSA showed significant difference between Roussouly Type 2 and 4 in asymptomatic subjects (P = 0.00), and between Type 1 and 3, 1 and 4, 2 and 3, 2

  13. Priorities for Primary Education? From Subjects to Life-Skills and Children's Social and Emotional Development (United States)

    FitzPatrick, Sarah; Twohig, Mairéad; Morgan, Mark


    To what needs and purposes should the primary curriculum be chiefly directed in the coming decades? In a first step towards revising the primary curriculum, the National Council for Curriculum and Assessment (NCCA) invited responses to an open online call to "have your say" on priorities for primary education. Respondents were asked to…

  14. Does Teaching English in Saudi Primary Schools Affect Students' Academic Achievement in Arabic Subjects? (United States)

    Aljohani, Othman


    The global trend of introducing second language learning, namely, English, in primary schools is increasing. In Saudi Arabia, where English has never been taught in primary schools, the government to implement English as a second language at the primary level in 2005; however, this generated controversy. Opposition to the learning of English has…

  15. Metabolic tumor volume of primary tumor predicts survival better than T classification in the larynx preservation approach. (United States)

    Miyabe, Junji; Hanamoto, Atsushi; Tatsumi, Mitsuaki; Hamasaki, Toshimitsu; Takenaka, Yukinori; Nakahara, Susumu; Kishikawa, Toshihiro; Suzuki, Motoyuki; Takemoto, Norihiko; Michiba, Takahiro; Yoshioka, Yasuo; Isohashi, Fumiaki; Konishi, Koji; Ogawa, Kazuhiko; Hatazawa, Jun; Inohara, Hidenori


    We aimed to determine whether pretreatment metabolic tumor volume of the primary tumor (T-MTV) or T classification would be a better predictor of laryngectomy-free survival (LFS) and overall survival (OS) after chemoradiotherapy in patients with locally advanced laryngeal or hypopharyngeal cancer requiring total laryngectomy. We analyzed 85 patients using a Cox proportional hazards model and evaluated its usefulness by Akaike's information criterion. A T-MTV cut-off value was determined by time-dependent receiver operating characteristic curve analysis. Interobserver reliability for measuring T-MTV was estimated by the intraclass correlation coefficient (ICC). After adjustment for covariables, T-MTV, irrespective of whether a continuous or dichotomized variable, and T classification remained independent predictors of LFS and OS. Large T-MTV (>28.7 mL) was associated with inferior LFS (hazard ratio [HR], 4.16; 95% confidence interval [CI], 1.97-8.70; P = 0.0003) and inferior OS (HR, 3.18; 95% CI, 1.47-6.69; P = 0.004) compared with small T-MTV (≤28.7 mL). The T-MTV model outperformed the T classification model in predicting LFS and OS (P = 0.007 and 0.01, respectively). Three-year LFS and OS rates for patients with small versus large T-MTV were 68% vs 9% (P Cancer Science published by John Wiley & Sons Australia, Ltd on behalf of Japanese Cancer Association.

  16. Connection of the contents of teaching subjects mathematics and – physical and health education in primary teaching


    Jovanova-Mitkovska, Snezana; Popeska, Biljana


    Considering modern educationaltendency in the system of primary education that refers to the possibilities to establish integration-correlation relationship between educational contents from different teaching subjects in primary education, in this paper we made a theoretical elaboration of math and physical and health education contents as an approach that allow more efficient acquisition of knowledge and their efficient application in everyday life. The analyses of math and PHE curricula i...

  17. Clinico-haematological characteristics in Pakistani patients of primary myelodysplastic syndrome according to World Health Organization classification. (United States)

    Ehsan, Ayesha; Aziz, Mona


    To assess the applicability of WHO classification on a cohort of Pakistani myelodysplastic syndrome (MDS) patients, and determine their epidemiological and clinico-pathological features. Case series. Haematology Department, Shaikh Zayed Hospital, Lahore, from April 2004 to March 2006. Forty six patients of primary MDS diagnosed by World Health Organization (WHO) criteria were included in the study by nonprobability purposive sampling. The cohort was classified accordingly and the epidemiological, clinical and haematological parametres were assessed. Descriptive statistics were used to describe the data. Forty six patients (28 males and 18 females) of primary MDS were included in the study. The mean age was 46.21 years. According to the WHO classification, 12 cases of refractory anaemia, 24 cases of refractory cytopenia with multi lineage dysplasia, 1 case of refractory cytopenia with multi lineage dysplasia and ring sideroblasts, 3 cases of MDS unclassified and 3 cases each of refractory anaemia with excess of blasts I and II were diagnosed. Symptomatic anaemia was seen in 37 cases and pancytopenia was documented in 33 cases. Dyserythropoiesis affected 41 cases. Grade III reticulosis was seen in 7 cases. ALIP was present in 13 cases. MDS presented at a young age. Refractory cytopenia with multi lineage dysplasia was the dominant disease category. Further studies are suggested for identifying the cytogenetic abnormalities and del 5q- category.

  18. Alphanumerical classification for the subject files of the department of documentation of the Atomic Energy Commission; Classification alpha-numerique pour le fichier matieres du service de documentation du Commissariat a l'Energie Atomique

    Energy Technology Data Exchange (ETDEWEB)

    Braffort, P.; Iung, J. [Commissariat a l' Energie Atomique, Saclay (France). Centre d' Etudes Nucleaires


    The research activities of the Atomic Energy Commission cover a large variety of different subjects from theoretical physics and nuclear physics to biology, medicine or geology. Thus, about 350 scientific reviews are received and presented in the library. All those documents need to be classified to make the research of information easier for researchers. It describes the classification and codification of such a large quantity of documents. The classification uses a bidimensional system with 5 columns with inter-scale phenomena, corpuscular scale, nuclear scale, atomic and molecular scale and macroscopic scale as subject and 5 lines with theoretical problems, production, measurement, description and utilisation as topic. Some of the rules are given and examples are presented. (M.P.)


    Directory of Open Access Journals (Sweden)

    Oksana Losieva


    Full Text Available The intensity of Ukraine’s promotion to the community of European nations, the adoption of a visa-free regime with the EU, cooperation between the countries in various spheres of life exposes the perennial problem of foreign language education, which is expressed in linguistic isolation, updates mastering by an average Ukrainian at least one foreign language at the level of communication in everyday life and economic area. One of the reasons is the isolation of programme material of modern school in general and of English in particular, from the realities of life, its obsolescence, gaining knowledge for successful mark for homework, etc., rather than their practical application. The situation is complicated with the lack of communication with native speakers beyond existing capabilities of modern information technology. The integration of educational content, its update in scientific literature are studied by E. Barbin, K. Volynets, S. Honcharenko V. Kremen, C. Semychenko et al. The ability of the integrated approach to highlight the drawbacks of the conventional modern primary education, create conditions for increasing the importance of education for pupils are claimed by S. Hapieienkova, K. Hus, V. Ilchenko, I. Kozlovskyi, F. Sharipov, N. Yudina and others. Scientists A. Amend, O. Varetska, V. Pristupa, I. Sasova, B. Shemiakin, A. Shpak have proven capabilities of productive integration of economics with objects invariant and the variable component of the school curriculum. The purpose of the article is to highlight educational opportunities of integrated course “Economics for Beginners” for pupils of the 4th form of secondary schools in forming students’ foreign language competence by the means of “Starts of Economy”. Results of testing integrated course “Economics for Beginners” show certain growth in students’ knowledge level in both Economics and English, their motivation to learn, feeling of success and rising activity

  20. Real-Time Classification of Patients with Balance Disorders vs. Normal Subjects Using a Low-Cost Small Wireless Wearable Gait Sensor

    Directory of Open Access Journals (Sweden)

    Bhargava Teja Nukala


    Full Text Available Gait analysis using wearable wireless sensors can be an economical, convenient and effective way to provide diagnostic and clinical information for various health-related issues. In this work, our custom designed low-cost wireless gait analysis sensor that contains a basic inertial measurement unit (IMU was used to collect the gait data for four patients diagnosed with balance disorders and additionally three normal subjects, each performing the Dynamic Gait Index (DGI tests while wearing the custom wireless gait analysis sensor (WGAS. The small WGAS includes a tri-axial accelerometer integrated circuit (IC, two gyroscopes ICs and a Texas Instruments (TI MSP430 microcontroller and is worn by each subject at the T4 position during the DGI tests. The raw gait data are wirelessly transmitted from the WGAS to a near-by PC for real-time gait data collection and analysis. In order to perform successful classification of patients vs. normal subjects, we used several different classification algorithms, such as the back propagation artificial neural network (BP-ANN, support vector machine (SVM, k-nearest neighbors (KNN and binary decision trees (BDT, based on features extracted from the raw gait data of the gyroscopes and accelerometers. When the range was used as the input feature, the overall classification accuracy obtained is 100% with BP-ANN, 98% with SVM, 96% with KNN and 94% using BDT. Similar high classification accuracy results were also achieved when the standard deviation or other values were used as input features to these classifiers. These results show that gait data collected from our very low-cost wearable wireless gait sensor can effectively differentiate patients with balance disorders from normal subjects in real time using various classifiers, the success of which may eventually lead to accurate and objective diagnosis of abnormal human gaits and their underlying etiologies in the future, as more patient data are being collected.

  1. Real-Time Classification of Patients with Balance Disorders vs. Normal Subjects Using a Low-Cost Small Wireless Wearable Gait Sensor. (United States)

    Nukala, Bhargava Teja; Nakano, Taro; Rodriguez, Amanda; Tsay, Jerry; Lopez, Jerry; Nguyen, Tam Q; Zupancic, Steven; Lie, Donald Y C


    Gait analysis using wearable wireless sensors can be an economical, convenient and effective way to provide diagnostic and clinical information for various health-related issues. In this work, our custom designed low-cost wireless gait analysis sensor that contains a basic inertial measurement unit (IMU) was used to collect the gait data for four patients diagnosed with balance disorders and additionally three normal subjects, each performing the Dynamic Gait Index (DGI) tests while wearing the custom wireless gait analysis sensor (WGAS). The small WGAS includes a tri-axial accelerometer integrated circuit (IC), two gyroscopes ICs and a Texas Instruments (TI) MSP430 microcontroller and is worn by each subject at the T4 position during the DGI tests. The raw gait data are wirelessly transmitted from the WGAS to a near-by PC for real-time gait data collection and analysis. In order to perform successful classification of patients vs. normal subjects, we used several different classification algorithms, such as the back propagation artificial neural network (BP-ANN), support vector machine (SVM), k-nearest neighbors (KNN) and binary decision trees (BDT), based on features extracted from the raw gait data of the gyroscopes and accelerometers. When the range was used as the input feature, the overall classification accuracy obtained is 100% with BP-ANN, 98% with SVM, 96% with KNN and 94% using BDT. Similar high classification accuracy results were also achieved when the standard deviation or other values were used as input features to these classifiers. These results show that gait data collected from our very low-cost wearable wireless gait sensor can effectively differentiate patients with balance disorders from normal subjects in real time using various classifiers, the success of which may eventually lead to accurate and objective diagnosis of abnormal human gaits and their underlying etiologies in the future, as more patient data are being collected.

  2. Individual subject classification for Alzheimer's disease based on incremental learning using a spatial frequency representation of cortical thickness data

    NARCIS (Netherlands)

    Cho, Youngsang; Seong, Joon-Kyung; Jeong, Yong; Shin, Sung Yong; Saradha, A.; Abdi, Hervé; Abdulkadir, Ahmed; Acharya, Deepa; Achuthan, Anusha; Adluru, Nagesh; Aghajanian, Jania; Agrusti, Antonella; Agyemang, Alex; Ahdidan, Jamila; Ahmad, Duaa; Ahmed, Shiek; Aisen, Paul; Akhondi-Asl, Alireza; Aksu, Yaman; Alberca, Roman; Alcauter, Sarael; Alexander, Daniel; Alin, Aylin; Almeida, Fabio; Alvarez-Linera, Juan; Amlien, Inge; Anand, Shyam; Anderson, Dallas; Ang, Amma; Angersbach, Steve; Ansarian, Reza; Aoyama, Eiji; Appannah, Arti; Arfanakis, Konstantinos; Armor, Tom; Arrighi, Michael; Arumughababu, S. Vethanayaki; Arunagiri, Vidhya; Ashe-McNalley, Cody; Ashford, Wes; Le Page, Aurelie; Avants, Brian; Aviv, Richard; Awasthi, Sukrati; Ayache, Nicholas; Ayan-Oshodi, Mosun; Ayhan, Murat; Sumana, B. V.; Babic, Tomislav; Baek, Young; Bagepally, Bhavani; Baird, Geoffrey; Baker, John; Baker, Suzanne; Bakker, Arnold; Barbash, Shahar; Bard, Jonathan; Barker, Warren; Bartlett, Jonathan; Baruchin, Andrea; Battaglini, Iacopo; Bauer, Corinna; Bayley, Peter; Beck, Irene; Becker, James; Becker, J. Alex; Beckett, Laurel; Bednar, Martin; Bedner, Arkadiusz; Beg, Mirza Faisal; Bekris, Lynn; Belaroussi, Boubakeur; Belloch, Vicente; Belmokhtar, Nabil; Ben Ahmed, Olfa; Bender, J. Dennis; Benois-Pineau, Jenny; Bhaskar, Uday; Bienkowska, Katarzyna; Biffi, Alessandro; Bigler, Erin; Bilgic, Basar; Bishop, Courtney; Bittner, Daniel; Black, Sandra; Bloss, Cinnamon; Bocti, Christian; Bohorquez, Adriana; Bokde, Arun; Boone, John; Boppana, Madhu; Borrie, Michael; Bourgeat, Pierrick; Bouttout, Haroune; Bowes, Mike; Bowman, DuBois; Bowman, Gene; Bracard, Serge; Braskie, Meredith; Braunewell, Karl; Breitner, Joihn; Bresell, Anders; Brewer, James; Brickhouse, Michael; Brickman, Adam; Britschgi, Markus; Broadbent, Steve; Brogren, Jacob; Brunton, Simon; Buchsbaum, Monte; Buckley, Chris; Buerger, Katharina; Bunce, David; Burnham, Samantha; Burns, Jeffrey; Burton, David; Burzykowski, Tomasz; Butler, Tracy; Cabeza, Rafael; Caffery, Terrell; Cairns, Nigel; Callhoff, Johanna; Calvini, Piero; Carbotti, Angela; Carle, Adam; Carmasin, Jeremy; Carmichael, Owen; Carvalho, Janessa; Casabianca, Jodi; Casanova, Ramon; Casey, Anne; Cash, David; Cataldo, Rosella; Cedarbaum, Jesse; Cella, Massimo; Celsis, Pierre; Chakravarty, Mallar; Chang, Ih; Chao, Linda; Charil, Arnaud; Che-Wei, Chang; Chemali, Zeina; Chen, Kewei; Chen, Shuzhong; Chen, Rong; Chen, Qiang; Chen, Jung-Tai; Chen, Gang; Chen, Jake; Chen, Wei; Cheng, Wei-Chen; Cheng, Xi; Cherkas, Yauheniya; Chertkow, Howard; Cheung, Vinci; Cheung, Charlton; Chiang, Gloria; Chiao, Ping; chibane, Mouatez Billah; Chida, Noriko; Chin, Simon; Ching, Christopher; Chisholm, Jane; Cho, Claire; Choe, John; Choubey, Suresh; Chowbina, Sudhir; Christensen, Anette Luther; Ciocia, Gianluigi; Clark, David; Clark, Chris; Clarkson, Matt; Clerc, Stephanie; Clunie, David; Coen, Michael; Coimbra, Alexandre; Compton, David; Coppola, Giovanni; Coubard, Olivier; Coulin, Samuel; Cover, Keith S.; Crane, Paul; Crans, Gerald; Croop, Robert; Crowther, Daniel; Crum, William; Cui, Yue; Curry, Charles; Cutter, Gary; Da, Long; Daliri, Mohammad Reza; Damato, Vito Domenico; Darby, Eveleen; Darkner, Sune; Davatzikos, Christos; DavidPrakash, Bhaskaran; Davidson, Christopher; Davis, Melissa; de Bruijne, Marleen; de Meyer, Geert; de Nunzio, Giorgio; Decarli, Charles; Dechairo, Bryan; DeDuck, Kristina; Dehghan, Hossein; Delfino, Manuel; Della Rosa, Pasquale Anthony; Dellavedova, Luca; Delpassand, Ebrahim; Delrieu, Julien; DeOrchis, Vincent; Carron, Delphine Dépy; Desjardins, Benoit; deToledo-Morrell, Leyla; Devanand, Davangere; Devanarayan, Viswanath; Devier, Deidre; DeVous, Michael; Dgetluck, Nancy; Di, Jianing; Di, Xin; Diaz-Arrastia, Ramon; Dickerson, Bradford; Dickie, David Alexander; Dill, Vanderson; Ding, Xiaobo; Dinov, Ivo; Dobosh, Brian; Dobson, Howard; Dodge, Hiroko; Dolman, Andrew; Dolmo, Bess-Carolina; Donohue, Michael; Dore, Vincent; Dorflinger, Ernest; Dowling, Maritza; Dragicevic, Natasa; Dubal, Dena; Duchesne, Simon; Duff, Kevin; Dukart, Jürgen; Durazzo, Timothy; Dutta, Joyita; DWors, Robert; Earl, Nancy; Edula, Goutham; Elcoroaristizabal, Xabier; Emahazion, Tesfai; Endres, Christopher; Epstein, Noam; Ereshefsky, Larry; Eskildsen, Simon; Espinosa, Ana; Esposito, Mario; Ewers, Michael; Falcone, Guido; Fan, Yong; Fan, Jing; Fan, Lingzhong; Farahibozorg, Seyedehreavan; Farb, Norman; Fardo, David; Farias, Sarah; Farnum, Michael; Farrer, Lindsay; Fatke, Bastian; Faux, Noel; Feldman, Howard; Feldman, Susan; Feldman, Betsy; Félix, Zandra; Fennema-Notestine, Christine; Fernandes, Michel; Fernandez, Elsa; Ferreira, Manuel Joao; Ferrer, Eugene; Fetterman, Bob; Figurski, Michal; Fillit, Howard; Finch, Stephen; Fiot, Jean-Baptiste; Flenniken, Derek; Fletcher, Evan; Flores, Christopher; Longmire, Crystal Flynn; Focke, Niels; Forman, Mark; Forsythe, Alan; Fox, Steven; Fox-Bosetti, Sabrina; Foxhall, Suzanne; Franko, Edit; Freeman, Roderick; Friedrich, Christoph M.; Friesenhahn, Michel; Frisoni, Giovanni; Fritzsche, Klaus; Fujimoto, Yoko; Fujiwara, Ken; Fullerton, Terence; Gaffour, Yacine; Galvin, Ben; Gamst, Anthony; Gao, Sujuan; Garg, Gaurav; Gaser, Christian; Gastineau, Edward; Gattaz, Wagner; Gaubert, Malo; Gauthier, Serge; Gavett, Brandon; Ge, Tian; Gemme, Gianluca; Geraci, Joseph; Gholipour, Farhad; Ghosh, Debashis; Ghosh, Satrajit; Gieschke, Ronald; Gill, Ryan; Gillespie, William; Gitelman, Darren; Gkontra, Xenia; Gleason, Carey; Glymour, M. Maria; Godbey, Michael; Gold, Brian; Goldberg, Terry; Goldman, Jennifer; Gonzalez-Beltran, Alejandra; Goodro, Robert; Gore, Chris; Gorriz, Juan Manuel; Goto, Masami; Grachev, Igor; Gradkowski, Wojciech; Grandey, Emily; Grasela, Thaddeux; Gray, Katherine; Greenberg, Barry; Greicius, Michael; Grill, Joshua; Gross, Alden; Gross, Alan; Grydeland, Håkon; Guignot, Isabelle; Guo, Qimiao; Guo, Liang-Hao; Guo, Hongbin; Gupta, Vinay; Guyot, Jennifer; Habeck, Christian; Habte, Frezghi; Haight, Thaddeus; Hajaj, Chen; Hajiesmaeili, Maqryam; Hajjar, Ihab; Hammarstrom, Per; Hampel, Harald; Han, Duke; Han, Jian; Han, Zhaoying; Hanna, Yousef; Hao, Yongfu; Hardy, Peter; Harvey, Danielle; Hasan, Md Kamrul; Hayashi, Toshihiro; Haynes, John-Dylan; He, Huiguang; He, Yong; Head, Denise; Heckemann, Rolf; Heegaard, Niels; Heidebrink, Judith; Hellyer, Peter; Helwig, Michael; Henderson, David; Herholz, Karl; Herskovits, A. Zara; Hess, Christopher; Hildenbrand, Maike; Ming, Au Yeung Ho; Hobart, Jeremy; Hochstetler, Helen; Hofer, Scott; Hoffman, John; Holder, Daniel; Hollingworth, Paul; Holmes, Robin; Hong, Quan; Honigberg, Lee; Hope, Thomas; Hoppin, Jack; Hot, Pascal; Hou, Yangyang; Hsieh, Helen; Hsu, Ailing; Hu, Xiaochen; Hu, Mingxing; Hu, William; Hua, Wen-Yu; Huang, Shuai; Huang, Fude; Huang, Zihan; Huang, Chun-Jung; Huang, Chien-Chih; Huang, Juebin; Hubbard, Rebecca; Huentelman, Matthew; Huppertz, Hans-Jürgen; Hurko, Orest; Hurt, Stephen; Hutchins, Jim; Hwang, Scott; Hyun, JungMoon; Ifeachor, Emmanuel; Iglesias, Martina; Ikari, Yasuhiko; Ikonomidou, Vasiliki; Iman, Adjoudj; Imani, Farzin; Immermann, Fred; Inlow, Mark; Inoue, Lurdes; Insel, Philip; Irizarry, Michael; Ishibashi, Taro; Ishii, Kenji; Ismail, Sara; Ito, Kaori; Iturria-Medina, Yasser; Iwatsubo, Takeshi; Jacks, Adam; Jacobson, Mark; Jacqmin, Philippe; Jaffe, Carl; Jagust, William; Janousova, Eva; Jara, Hernan; Jasperse, Bas; Jedynak, Bruno; Jefferson, Angela; Jennings, J. Richard; Jenq, John; Jessen, Walter; Jia, Fucang; Jiang, Tianzi; Jiao, Yun; Jing, Huang; Johnson, Kent; Johnson, Sterling; Johnson, David K.; Johnson, Julene; Jones, Gareth; Jones, Mark; Jones, Richard; Joshi, Shantanu; Jouvent, Eric; Juengling, Freimut; Julin, Per; Junjie, Zhuo; Kabilan, Meena; Kadish, Bill; Kairui, Zhang; Kam, Hye Jin; Kamboh, M. Ilyas; Kamer, Angela; Kanakaraj, Sithara; Kanchev, Vladimir; Kaneko, Tomoki; Kaneta, Tomohiro; Kang, Hyunseok; Kang, Ju Hee; Kang, Jian; Karageorgiou, Elissaios; Karantzoulis, Stella; Karlawish, Jason; Katz, Elyse; Kaushik, Sandeep S.; Kauwe, John; Kawakami, Hirofumi; Kawashima, Shoji; Kaye, Edward; Kazemi, Samaneh; Ke, Han; Kelleher, Thomas; Kennedy, Richard; Keogh, Bart; Kerchner, Geoffrey; Kerr, Daniel; Keshava, Nirmal; Khalil, Iya; Khalil, Andre; Khondker, Zakaria; Kihara, Takeshi; Killeen, Neil; Killiany, Ron; Kim, Dajung; Kim, Hyoungkyu; Kim, Seongkyun; Kim, Jong Hun; Kim, Ana; Kim, Jung-Hyun; Kimberg, Daniel; Kimura, Tokunori; King, Richard; Kirby, Justin; Kirsch, Wolff; Klimas, Michael; Kline, Richard; Kling, Mitchel; Klopfenstein, Erin; Koen, Joshua; Koikkalainen, Juha; Kokomoor, Anders; Kong, Xiangnan; Koppel, Jeremy; Korolev, Igor; Kotran, Nickolas; Kowalczyk, Adam; Krahnke, Tilmann; Krams, Michael; Kuceyeski, Amy; Kuhl, Donald; Kumar, Vinod; Roy, P. Kumar; Kuo, Julie; Labrish, Catherine; Lai, Song; Lakatos, Anita; Lalonde, François; Lam, On Ki; Lampron, Antoine; Landau, Susan; Lane, Richard; Lane, Barton; Langbaum, Jessica; Langford, Dianne; Lanius, Vivian; Latella, Marco; Leahy, Richard; Lee, Jong an; Lee, Dongsoo; Lee, Noah; Lee, Sei; Lee, Doheon; Lee, Grace; Lefkimmiatis, Stamatis; Lemaitre, Herve; Lenfant, Pierre; Lenz, Robert; Leong, Josiah; Leoutsakos, Jeannie-Marie; Leung, Yuk Yee; Levey, Allan; Li, Rui; Li, Xiaodong; Li, Weidong; Li, Xiaobo; Li, Ming; Li, Lexin; Li, Jun; Li, Gang; Li, Quanzheng; Li, Yi; Li, Junning; Li, Jie; Li, Yue; Li, Shanshan; Liang, Kelvin; Liang, Kuchang; Liang, Peipeng; Liang, Lichen; Liao, Weiqi; Liaquat, Saad; Liberman, Gilad; Lin, Lan; Lin, Ai-Ling; Lin, Frank; Liu, Tao; Liu, Dazhong; Liu, Li; Liu, Honggang; Liu, Sidong; Liu, Tianming; Liu, Xiuwen; Liu, Sophia; Liu, Linda; Liu, Wei; Liu, Guodong; Liu, Yangping; Liu, Collins; Lo, Raymond; Lobanov, Victor; Lockhart, Andrew; Loewenstein, David; Logovinsky, Veronika; Long, Miaomiao; Long, Ziyi; Long, Xiaojing; Looi, Jeffrey; Lu, Huanxiang; Lu, Po-Haong; Lucena, Nathaniel; Lukas, Carsten; Lukic, Ana; Luo, Lei; Luo, Xiongjian; Luo, Xi; Lynch, John; Ma, Shen-Ming; Mackin, Scott; Mada, Marius; Madabhushi, Anant; Maglio, Silvio; Mahanta, Mohammad Shahin; Maikusa, Norihide; Maldjian, Joseph; Mandal, Indrajit; Manjon, Jose; Mantri, Ninad; Manzour, Amir; Marchewka, Artur; Marcus, Daniel; Margolin, Richard; Marrett, Sean; Marshall, Gad; Gonzelez, Alberto Martinez; Torteya, Antonio Martinez; Mather, Mara; Mathis, Chester; Mattei, Peter; Matthews, Dawn; McArdle, John; McCarroll, Steven; McEvoy, Linda; McGeown, William; McGinnis, Scott; McGonigle, John; McIntyre, John; McLaren, Donald; McQuail, Joseph; Meadowcroft, Mark; Meda, Shashwath; Melie-Garcia, Lester; Melrose, Rebecca; Mendelson, Alexander; Mendez, Mario; Menendez, Enrique; Meng, Meng; Meredith, Jere; Metti, Andrea; Meyer, Carsten; Mez, Jesse; Mickael, Guedj; Miftahof, Roustem; Mikula, Margit; Miller, Michael; Millikin, Colleen; Mintun, Mark; Mirza, Mubeena; Mistridis, Panagiota; Mitchell, Meghan; Mitsis, Effie; Mon, Anderson; Moore, Dana; Morabito, Francesco C.; Birgani, Parmida Moradi; Moratal, David; Morimoto, Bruce; Mormino, Elizabeth; Morris, Jill; Mortamet, Bénédicte; Moscato, Pablo; Mueller, Kathyrne; Mueller, Susanne; Mukherjee, Shubhabrata; Mulder, Emma; Mungas, Dan; Munir, Kamran; Murayama, Shigeo; Murphy, Michael; Myers, Amanda; Sairam, N.; Nagata, Ken; Nair, Anil; Nativio, Raffaella; Nazarparvar, Babak; Nazeri, Arash; Nejad, Leila; Nekooei, Sirous; Nettiksimmons, Jasmine; Neu, Scott; Ng, Yen-Bee; Nguyen, Nghi; Nichols, Thomas; Nicodemus, Kristin; Niecko, Timothy; Nielsen, Casper; Nishio, Tomoyuki; Nordstrom, Matthew; Noshad, Sina; Notomi, Keiji; Novak, Nic; Nutakki, Gopi Chand; O'Bryant, Sid; Obisesan, Thomas; Oh, Joonmi; Okonkwo, Ozioma; Olde Rikkert, Marcel; Oliveira, Ailton; Oliveira, Joāo; Oliver, Ruth; Olmos, Salvador; Oltra, Javier; Ortner, Marion; Osadebey, Michael; Ostrowitzki, Susanne; Overholser, Rosanna; Anishiya, P.; Chitra, P. K. A.; Pa, Judy; Palanisamy, Preethi; Pan, Sarah; Pan, Zhifang; Pande, Yogesh; Pardo, Jose; Pardoe, Heath; Park, Sang hyun; Park, Sujin; Park, Lovingly; Park, Hyunjin; Park, Moon Ho; Parker, Christopher; Patel, Yogen; Patil, Amol; Patil, Manasi; Pawlak, Mikolaj; Payoux, Pierre; Pearson, Jim; Pell, Gaby; Peng, Yahong; Pennec, Xavier; Pepin, Jean louis; Pereira, Francisco; Perneczky, Robert; Petitti, Diana; Petrella, Jeffrey; Peyrat, Jean-Marc; Ngoc, Phuong Trinh Pham; Phillips, Justin; Nicole, Phillips; Pian, Wen-ting; Pierson, Ronald; Piovezan, Mauro; Pipitone, Jon; Pirraglia, Elizabeth; Planes, Xavi; Podhorski, Adam; Pollari, Mika; Pomara, Nunzio; Pontecorvo, Michael; Popov, Veljko; Poppenk, Jordan; Posner, Holly; Potkin, Steven; Potter, Guy; Potter, Elizabeth; Poulin, Stephane; Prastawa, Marcel; Prince, Jerry; Priya, Anandh; Pruessner, Jens; Qiu, Wendy; Qu, Annie; Qualls, Constance Dean; Quarg, Peter; Quinlan, Judith; Rabbia, Michael; Rajagovindan, Rajasimhan; Rajeesh, Rajeesh; Rallabandi, V. P. Subramanyam; Ramadubramani, Vanamamalai; Ramage, Amy; Ramirez, Alfredo; Randolph, Christopher; Rao, Anil; Rao, Hengyi; Rao, Divya; Raubertas, Richard; Ray, Debashis; Razak, Hana; Reed, Bruce; Reid, Andrew; Reilhac, Anthonin; Reiner, Peggy; Reinsberger, Claus; Restrepo, Lucas; Retico, Alessandra; Rhatigan, Lewis; Rhinn, Herve; Rhoades, Earl; Ribbens, Annemie; Richard, Edo; Richards, John; Richter, Mirco; Riddle, William; Ridgway, Gerard; Ries, Michele; Ringman, John; Rischall, Matt; Rizk-Jackson, Angela; Rizzi, Massimo; Robieson, Weining; Rodriguez, Laura; Rodriguez-Vieitez, Elena; Rogalski, Emily; Rogers, Elizabeth; Balderrama, Javier Rojas; Rokicki, Jaroslav; Romero, Klaus; Rorden, Chris; Rosand, Jonathan; Rosen, Ori; Rosenberg, Paul; Roubini, Eli; Rousseau, François; Rowe, Christopher; Rubin, Daniel; Rubright, Jonathan; Rucinski, Marek; Ruiz, Agustin; Rulseh, Aaron; Rusinek, Henry; Ryan, Laurie; Saad, Ahmed; Sabuncu, Mert; Sahuquillo, Juan; Said, Yasmine; Saito, Naomi; Sakata, Muneyuki; Salama, Mahetab; Salazar, Diego; Salter, Hugh; Saman, Sudad; Sanchez, Luciano; Sanders, Elizabeth; Sankar, Tejas; Santhamma, Sindhumol; Sarnel, Haldun; Sasaki, Toshiaki; Sasaya, Tenta; Sato, Hajime; Sattlecker, Martina; Saumier, Daniel; Savio, Alexandre; Saykin, Andrew; Scanlon, Blake; Scharre, Douglas; Schegerin, Marc; Schmand, Ben; Schmansky, Nick; Schmidt-Wilcke, Tobias; Schramm, Hauke; Schuerch, Markus; Schwartz, Craig; Schwartz, Eben; Schwarz, Adam; Schwarz, John; Selnes, Per; Sembritzki, Klaus; Senjem, Matthew; Sevigny, Jeffrey; Sfikas, Giorgos; Sghedoni, Roberto; Shah, Said Khalid; Shahbaba, Babak; Shams, Soheil; Shankle, William; Shattuck, David; Shaw, Leslie; Sheela, Jaba; Shen, Jie; Shen, Qi; Shen, Weijia; Shen, Qian; Shera, David; Sherman, John; Sherva, Richard; Shi, Jie; Shi, Yonggang; Shi, Feng; Shokouhi, Sepideh; Shukla, Vinay; Shulman, Joshua; Sideris, Konstantinos; Siegel, Rene; Silveira, Margarida; Silverman, Daniel; Sim, Ida; Simak, Alex; Simmons, Andy; Simoes, Rita; Simon, Adam; Simon, Melvin; Simpson, Ivor; Singh, Nikhil; Singh, Simer Preet; Sinha, Neelam; Siuciak, Judy; Sjögren, Niclas; Skinner, Jeannine; Smith, Michael; Smith, Charles; Smyth, Timothy; Snow, Sarah; Snyder, Peter; Soares, Holly; Soldan, Anja; Soldea, Octavian; Solomon, Alan; Solomon, Paul; Som, Subhojit; Song, Zhuang; Song, Shide; Sosova, Iveta; Soydemir, Melih; Spampinato, Maria Vittoria; Speier, William; Sperling, Reisa; Spiegel, Renãâ; Spies, Lothar; Springate, Beth; Staff, Roger; Steffener, Jason; Stern, Yaakov; Stokman, Harro; Straw, Jack; Stricker, Nikki; Stühler, Elisabeth; Styren, Scot; Subramanian, Vijayalakshmi; Suen, Summit; Sugishita, Morihiro; Sukkar, Rafid; Sun, Ying; Sun, Jia; Sun, Yu; Sundell, Karen; Suzuki, Akiyuki; Svetnik, Vladimir; Swan, Melanie; Symons, Sean; Szigeti, Kinga; Szoeke, Cassandra; Sørensen, Lauge; Genish, T.; Takahasi, Tetsuhiko; Takeuchi, Tomoko; Tanaka, Shoji; Tanaka, Rie; Tanchi, Chaturaphat; Tancredi, Daniel; Tang, Qi; Tarnow, Eugen; Tartaglia, Maria Carmela; Tarver, Erika; Tassy, Dominique; Tauber, Clovis; Taylor-Reinwald, Lisa; Teipel, Stefan; Teng, Edmond; Terriza, Felipe; Thambisetty, Madhav; Thames, April; Thatavarti, Raja Sekhar; Thiele, Frank; Thomas, Charlene; Thomas, Ronald; Thomas, Benjamin; Thompson, Paul; Thompson, Wesley; Thornton-Wells, Tricia; Thorvaldsson, Valgeir; Thurfjell, Lennart; Tokuda, Takahiko; Toledo, Juan B.; Tölli, Tuomas; Toma, Ahmed; Tomita, Naoki; Toro, Roberto; Torrealdea, Patxi; Tosto, Giuseppe; Tosun, Duygu; Tousian, Mona; Toussaint, Paule; Toyoshiba, Hiroyoshi; Tractenberg, Rochelle E.; Triggs, Tyler; Trittschuh, Emily; Trojanowski, John; Trotta, Gabriele; Huu, Tram Truong; Truran, Diana; Tsanas, Athanasios; Tsang, Candy; Tufail, Ahsan; Tung, Joyce; Turken, And; Ueda, Yoji; Uematsu, Daisuke; Ullrich, Lauren; Venkataraju, Kannan Umadevi; Umar, Nisser; Ungar, Leo; Uzunbas, Gokhan; van de Nes, Joseph; van der Brug, Marcel; van der Lijn, Fedde; van Hecke, Wim; van Horn, John; van Leemput, Koen; van Train, Kenneth; Varkuti, Balint; Vasanawala, Minal; Veeraraghavan, Harini; Vemuri, Prashanthi; Verma, Manish; Videbaek, Charlotte; Vidoni, Eric; Villanueva-Meyer, Javier; Vinyes, Georgina; Visser, Pieter Jelle; Vitek, Michael; Vogel, Simon; Voineskos, Aristotle; Vos, Stephanie; Vounou, Maria; Wade, Sara; Walsh, Alexander; Wan, Hong; Wang, Tianyao; Wang, Yongmei Michelle; Wang, Wei; Wang, Angela; Wang, Song; Wang, Lubin; Wang, Li; Wang, Yaping; Wang, Li-San; Wang, Lei; Wang, Alex; Wang, Yue; Wang, Xu; Wang, Ze; Wang, Tiger; Ward, Michael; Ward, Andrew; Watanabe, Toshiyuki; Watson, David; Webb, David; Wefel, Jeffrey; Weiner, Michael; Westlye, Lars T.; Wheland, David; Whitcher, Brandon; White, Brooke; Whitlow, Christopher; Wilhelmsen, Kirk; Wilmot, Beth; Wilson, Lorraine; Wimsatt, Matt; Wingo, Thomas; Wirth, Miranka; Wishart, Heather; Wiste, Heather; Wolf, Henrike; Wolke, Ira; Wolz, Robin; Wong, Koon; Woo, Jongwook; Woo, Ellen; Woods, Lynn; Worth, Andrew; Wu, Yanjun; Wu, Liang; Wu, Ellen; Wyman, Bradley; Xiao, Guanghua; Xie, Sharon; Xu, Jun; Xu, Guofan; Xu, Steven; Xu, Shunbin; Xu, Ye; Xu, Yi-Zheng; Yamada, Tomoko; Yamashita, Fumio; Yan, Pingkun; Yan, Yunyi; Yang, Guang; Yang, Wenlu; Yang, Eric; Yang, Hyun Duk; Yang, Jinzhong; Yang, Chung-Yi; Yang, Zijiang; Yang, Edward; Yassa, Michael; Yavorsky, Christian; Ye, Byoung Seok; Ye, Liang; Ye, Jong; Yee, Laura; Ying, Song; Yokoyama, Takao; Young, Stewart; Young, Jonathan; Younhyun, Jung; Yu, Dongchuan; Yu, Shiwei; Yu, C. Q.; Yu, Peng; Yuan, Ying; Yuan, Guihong; Yuan, Kai; Yuen, Bob; Yushkevich, Paul; Zaborszky, Laszlo; Zagorodnov, Vitali; Zagorski, Michael; Zahodne, Laura; Zarei, Mojtaba; Zawadzki, Rezi; Zeitzer, Jamie; Zelinski, Elizabeth; Zeskind, Benjamin; Zhan, Shu; Zhang, Jing; Zhang, Lijun; Zhang, Zhiguo; Zhang, Linda; Zhang, Zhe; Zhang, Daoqiang; Zhang, Huixiong; Zhang, Xin; Zhang, Tianhao; Zhang, Ping; Zhao, Jim; Zhao, Qinying; Zhao, Peng; Zhen, Xiantong; Zhijun, Yao; Zhou, Luping; Zhou, Bin; Zhou, Yongxia; Zhou, Sheng; Zhu, Hongtu; Zhu, Wen; Zhu, Wanlin; Zhu, Xuyan; Ziegler, Gabriel; Zilka, Samantha; Zisserman, Andrew; Zito, Giancarlo; Zu, Chen; Zulfigar, Annam


    Patterns of brain atrophy measured by magnetic resonance structural imaging have been utilized as significant biomarkers for diagnosis of Alzheimer's disease (AD). However, brain atrophy is variable across patients and is non-specific for AD in general. Thus, automatic methods for AD classification

  3. CBCT analysis of root canal morphology in geminated primary incisor: a proposed classification and case report. (United States)

    Gandiban, Kanimozhi; Ramakrishnan, Mahesh


    Endodontic management of the geminated tooth requires a proper understanding of root canal morphology. The use of cone beam computed tomography (CBCT) in the diagnosis of complex endodontic morphology, and in revealing morphological variations, has been well documented in the literature. A case involving endodontic management of a geminated primary central incisor with CBCT is presented here. A CBCT analysis was vital in the diagnosis of this unusual root canal system and its successful endodontic treatment.

  4. Subjective memory complaints in primary care patients and death from all causes: a four-year follow-up

    DEFF Research Database (Denmark)

    Siersma, Volkert Dirk; Waldemar, Gunhild; Waldorff, Frans Boch


    -related quality of life were collected at the enrolment primary care consultation. Dates of death from all causes occurring during the four-year follow-up were retrieved from the national databases. Cox proportional hazard regression models on time to death (censored after four years) were used to examine......OBJECTIVE: To investigate the prognostic value of subjective memory complaints for all-cause mortality in order to determine whether elderly persons with subjective memory complaints may be regarded as a group of vulnerable patients who need close follow-up. DESIGN: Prospective cohort study...... the influence of subjective memory complaints on all-cause mortality. RESULTS: 88 patients died during the four-year follow-up. The association between subjective memory complaints and mortality had a statistically not significant hazard ratio (HR) of 0.91, adjusting for known confounders. Statistically...

  5. International Classification of Primary Care-2 coding of primary care data at the general out-patients' clinic of General Hospital, Lagos, Nigeria. (United States)

    Olagundoye, Olawunmi Abimbola; van Boven, Kees; van Weel, Chris


    Primary care serves as an integral part of the health systems of nations especially the African continent. It is the portal of entry for nearly all patients into the health care system. Paucity of accurate data for health statistics remains a challenge in the most parts of Africa because of inadequate technical manpower and infrastructure. Inadequate quality of data systems contributes to inaccurate data. A simple-to-use classification system such as the International Classification of Primary Care (ICPC) may be a solution to this problem at the primary care level. To apply ICPC-2 for secondary coding of reasons for encounter (RfE), problems managed and processes of care in a Nigerian primary care setting. Furthermore, to analyze the value of selected presented symptoms as predictors of the most common diagnoses encountered in the study setting. Content analysis of randomly selected patients' paper records for data collection at the end of clinic sessions conducted by family physicians at the general out-patients' clinics. Contents of clinical consultations were secondarily coded with the ICPC-2 and recorded into excel spreadsheets with fields for sociodemographic data such as age, sex, occupation, religion, and ICPC elements of an encounter: RfE/complaints, diagnoses/problems, and interventions/processes of care. Four hundred and one encounters considered in this study yielded 915 RfEs, 546 diagnoses, and 1221 processes. This implies an average of 2.3 RfE, 1.4 diagnoses, and 3.0 processes per encounter. The top 10 RfE, diagnoses/common illnesses, and processes were determined. Through the determination of the probability of the occurrence of certain diseases beginning with a RfE/complaint, the top five diagnoses that resulted from each of the top five RfE were also obtained. The top five RfE were: headache, fever, pain general/multiple sites, visual disturbance other and abdominal pain/cramps general. The top five diagnoses were: Malaria, hypertension

  6. Anxiety Sensitivity and Age: Roles in Understanding Subjective Social Status among Low Income Adult Latinos in Primary Care. (United States)

    Zvolensky, Michael J; Paulus, Daniel J; Bakhshaie, Jafar; Garza, Monica; Manning, Kara; Lemaire, Chad; Reitzel, Lorraine R; Smith, Lia J; Ochoa-Perez, Melissa


    One social determinant of health construct that is reliably related to health disparities among the Latino population is subjective social status, reflecting subjective ratings of social standing. Yet, little research has explored factors that may undergird variability in subjective social status among this population or in general. Accordingly, the present investigation examined one possible etiological model wherein age moderates the relation between individual differences in anxiety sensitivity (fear of the negative consequences of stress sensations) and subjective social status among a Latino primary care sample. Participants included Spanish-speaking Latino adults (n = 394; 86.5% female; average age = 39.0 years). Results demonstrated an interaction between the anxiety sensitivity and age for subjective social status among the Latino sample. Inspection of the form of the significant interaction indicated that the association between anxiety sensitivity and subjective social status was evident among older, but not younger, persons. The current findings suggest that decreasing anxiety sensitivity, especially among older Latinos, may be one possible viable therapeutic approach to change subjective social status in order to help offset health disparities among this group.

  7. Chronic kidney disease in hypertensive subjects ≥60 years treated in Primary Care

    Directory of Open Access Journals (Sweden)

    Betlem Salvador-González


    Conclusion: One in 5 hypertensive patients without cardiovascular disease ≥60 years in primary care presented with a moderate decrease in eGFR. In addition to age and sex, albuminuria and heart failure were the main associated factors. Despite the increased exposure to drugs, BP control was lower in CKD.

  8. Optimising drug prescribing and dispensing in subjects at risk for drug errors due to renal impairment: improving drug safety in primary healthcare by low eGFR alerts (United States)

    Joosten, Hanneke; Drion, Iefke; Boogerd, Kees J; van der Pijl, Emiel V; Slingerland, Robbert J; Slaets, Joris P J; Jansen, Tiele J; Schwantje, Olof; Gans, Reinold O B; Bilo, Henk J G


    Objectives To assess the risk of medication errors in subjects with renal impairment (defined as an estimated glomerular filtration rate (eGFR) ≤40 ml/min/1.73 m2) and the effectiveness of automatic eGFR ≤40-alerts relayed to community pharmacists. Design Clinical survey. Setting The city of Zwolle, The Netherlands, in a primary care setting including 22 community pharmacists and 65 general practitioners. Participants All adults who underwent ambulatory creatine measurements which triggered an eGFR ≤40-alert. Primary and secondary outcome measures The total number of ambulatory subjects with an eGFR ≤40-alert during the study period of 1 year and the number of medication errors related to renal impairment. The type and number of proposed drug adjustments recommended by the community pharmacist and acceptance rate by the prescribing physicians. Classification of all medication errors on their potential to cause an adverse drug event (ADE) and the actual occurrence of ADEs (limited to those identified through hospital record reviews) 1 year after the introduction of the alerts. Results Creatine measurements were performed in 25 929 adults. An eGFR ≤40-alert was indicated for 5.3% (n=1369). This group had a median (IQR) age of 78 (69, 84) years, and in 73% polypharmacy (≥5 drugs) was present. In 15% (n=211) of these subjects, a medication error was detected. The proportion of errors increased with age. Pharmacists recommended 342 medication adjustments, mainly concerning diuretics (22%) and antibiotics (21%). The physicians’ acceptance rate was 66%. Of all the medication errors, 88% were regarded as potential ADEs, with most classified as significant or serious. At follow-up, the ADE risk (n=40) appeared highest when the proposed medication adjustments were not implemented (38% vs 6%). Conclusions The introduction of automatic eGFR-alerts identified a considerable number of subjects who are at risk for ADEs due to renal impairment in an

  9. Subjective Well-being of Primary Health Care Patients in the ...

    African Journals Online (AJOL)

    Background: Patients living with a chronic illness face many challenges in their lives such as an altered body image, physical pain or discomfort, the need for frequent medical visits and the negative side effects of treatment. To this extent their sense of personal or subjective well-being may be compromised by the severity ...

  10. Transforming Primary Education in Sri Lanka : From a 'Subject' of Education to a 'Stage' of Education


    Little, Angela; Aturupane, Harsha; Shojo, Mari


    Sri Lanka is a lower-middle income country with a per capita income of approximately US$ 2,400, and a population of around 20 million people. Sri Lanka's high rate of literacy is due to its sustained growth through the twentieth century. Primary education spans the first five grades of schooling, grades 1-5. Student's progress automatically to lower secondary education for four years of ed...

  11. Anxiety sensitivity and subjective social status in relation to anxiety and depressive symptoms and disorders among Latinos in primary care. (United States)

    Zvolensky, Michael J; Bakhshaie, Jafar; Garza, Monica; Valdivieso, Jeanette; Ortiz, Mayra; Bogiaizian, Daniel; Robles, Zuzuky; Vujanovic, Anka


    The present investigation examined the interactive effects of anxiety sensitivity and subjective social status in relation to anxiety and depressive symptoms and psychopathology among 143 Latinos (85.7% female; Mage=39.0, SD=10.9; 97.2% used Spanish as their first language) who attended a community-based primary healthcare clinic. Results indicated that the interaction between anxiety sensitivity and subjective social status was significantly associated with number of mood and anxiety disorders, panic, social anxiety, and depressive symptoms. The form of the significant interactions indicated that individuals reporting co-occurring higher levels of anxiety sensitivity and lower levels of subjective social status evidenced the greatest levels of psychopathology and panic, social anxiety, and depressive symptoms. The present findings suggest that there is merit in focusing further scientific attention on the interplay between anxiety sensitivity and subjective social status in regard to understanding, and thus, better intervening to reduce anxiety/depressive vulnerability among Latinos in primary care. Copyright © 2015 Elsevier Ltd. All rights reserved.

  12. Primary Otomycosis in the Indian Subcontinent: Predisposing Factors, Microbiology, and Classification

    Directory of Open Access Journals (Sweden)

    Sampath Chandra Prasad


    Full Text Available Objective. To define otomycosis and determine the predisposing factors and microbiology in primary otomycosis. Study Design. Prospective study of two years and review of the literature. Setting. Academic Department of Otolaryngology in a coastal city in India. Patients. 150 immunocompetent individuals of whom 100 consecutive patients with a clinical diagnosis of otomycosis are considered as the study group and 50 consecutive patients with no otomycosis are considered as the control group. Results and Observations. Instillation of coconut oil (42%, use of topical antibiotic eardrops (20%, and compulsive cleaning of external ear with hard objects (32% appeared to be the main predisposing factors in otomycosis. Aspergilli were the most common isolates (80% followed by Penicillium (8%, Candida albicans (4%, Rhizopus (1%, and Chrysosporium (1%, the last being reported for the first time in otomycosis. Among aspergilli, A. niger complex (38% was the most common followed by A. fumigatus complex (27% and A. flavus complex (15%. Bacterial isolates associated with fungi in otomycosis were S. aureus, P. aeruginosa, and Proteus spp. In 42% of healthy external ears fungi were isolated. Conclusion. Aspergillus spp. were the most common fungi isolated, followed by Penicillium. Otomycotic ears are often associated with bacterial isolates when compared to normal ears. Fungi are also present in a significant number of healthy external auditory canals and their profiles match those in cases of otomycosis. The use of terms “primary” and “secondary” otomycosis is important to standardize reporting.

  13. Critical evaluation of auditory event-related potential deficits in schizophrenia: evidence from large-scale single-subject pattern classification. (United States)

    Neuhaus, Andres H; Popescu, Florin C; Rentzsch, Johannes; Gallinat, Jürgen


    Event-related potential (ERP) deficits associated with auditory oddball and click-conditioning paradigms are among the most consistent findings in schizophrenia and are discussed as potential biomarkers. However, it is unclear to what extend these ERP deficits distinguish between schizophrenia patients and healthy controls on a single-subject level, which is of high importance for potential translation to clinical routine. Here, we investigated 144 schizophrenia patients and 144 matched controls with an auditory click-conditioning/oddball paradigm. P50 and N1 gating ratios as well as target-locked N1 and P3 components were submitted to conventional general linear models and to explorative machine learning algorithms. Repeated-measures ANOVAs revealed significant between-group differences for the oddball-locked N1 and P3 components but not for any gating measure. Machine learning-assisted analysis achieved 77.7% balanced classification accuracy using a combination of target-locked N1 and P3 amplitudes as classifiers. The superiority of machine learning over repeated-measures analysis for classifying schizophrenia patients was in the range of about 10% as quantified by receiver operating characteristics. For the first time, our study provides large-scale single-subject classification data on auditory click-conditioning and oddball paradigms in schizophrenia. Although our study exemplifies how automated inference may substantially improve classification accuracy, our data also show that the investigated ERP measures show comparably poor discriminatory properties in single subjects, thus illustrating the need to establish either new analytical approaches for these paradigms or other paradigms to investigate the disorder. © The Author 2013. Published by Oxford University Press on behalf of the Maryland Psychiatric Research Center. All rights reserved. For permissions, please email:

  14. Usefulness of High-Frequency Ultrasound in the Classification of Histologic Subtypes of Primary Basal Cell Carcinoma. (United States)

    Hernández-Ibáñez, C; Blazquez-Sánchez, N; Aguilar-Bernier, M; Fúnez-Liébana, R; Rivas-Ruiz, F; de Troya-Martín, M

    Incisional biopsy may not always provide a correct classification of histologic subtypes of basal cell carcinoma (BCC). High-frequency ultrasound (HFUS) imaging of the skin is useful for the diagnosis and management of this tumor. The main aim of this study was to compare the diagnostic value of HFUS compared with punch biopsy for the correct classification of histologic subtypes of primary BCC. We also analyzed the influence of tumor size and histologic subtype (single subtype vs. mixed) on the diagnostic yield of HFUS and punch biopsy. Retrospective observational study of primary BCCs treated by the Dermatology Department of Hospital Costa del Sol in Marbella, Spain, between october 2013 and may 2014. Surgical excision was preceded by HFUS imaging (Dermascan C © , 20-MHz linear probe) and a punch biopsy in all cases. We compared the overall diagnostic yield and accuracy (sensitivity, specificity, positive predictive value [PPV], and negative predictive value [NPV]) of HFUS and punch biopsy against the gold standard (excisional biopsy with serial sections) for overall and subgroup results. We studied 156 cases. The overall diagnostic yield was 73.7% for HFUS (sensitivity, 74.5%; specificity, 73%) and 79.9% for punch biopsy (sensitivity, 76%; specificity, 82%). In the subgroup analyses, HFUS had a PPV of 93.3% for superficial BCC (vs. 92% for punch biopsy). In the analysis by tumor size, HFUS achieved an overall diagnostic yield of 70.4% for tumors measuring 40mm 2 or less and 77.3% for larger tumors; the NPV was 82% in both size groups. Punch biopsy performed better in the diagnosis of small lesions (overall diagnostic yield of 86.4% for lesions ≤40mm 2 vs. 72.6% for lesions >40mm 2 ). HFUS imaging was particularly useful for ruling out infiltrating BCCs, diagnosing simple, superficial BCCs, and correctly classifying BCCs larger than 40mm 2 . Copyright © 2016 AEDV. Publicado por Elsevier España, S.L.U. All rights reserved.

  15. Learners' Language Needs Analysis of English Subject in Azkia Integrated Islamic Primary School

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    Neneng Sunengsih


    Full Text Available In this paper, the writer analyzed the objective of English learning at Azkia Integrated Islamic Primary School and the pupils’ needs in learning English. The paper described pupils’ needs, which are divided into the target needs and the learning needs. The study employed qualitative method, which used phenomenology approach. The data were collected from classroom observations, interviews, and documentary analysis, and then were analyzed and classified into the target needs and the learning needs. The findings showed that the pupils’ needs to be fulfilled in learning English are introducing English at the early stage, coping English language in the classroom and the daily lives, emphasizing vocabulary building and its development, applying recognizable topics to support vocabulary mastery, giving a wide range of instruments which stimulates the pupils using English in their daily lives. Further, learning English can be easier for the pupils when the concrete objects  are utilized well and visual aids are made available.

  16. Influence of cerclages on primary stability of tumor megaprostheses subjected to distal femur defects. (United States)

    Jahnke, Alexander; Jakubowitz, Eike; Ishaque, Bernd Alexander; Rickert, Markus; Bischel, Oliver


    Purpose of this experimental study was to investigate the influence of cerclages on the primary stability of the MUTARS system using distally fractured synthetic femora. 4 MUTARS prostheses were implanted in synthetic femora respectively. Groups consisted of 4 intact bones, 4 fractured with cerclages and 4 fractured bones without cerclages. Spatial micromovements were measured with a high-precision rotational setup. The order from the weakest to the strongest torque transmission of the intact bones was rm1-rm4-rm2-rm3 (p=0.011) and of the fractured bones with cerclages rm4-rm1-rm3-rm2 (p=0.013). The MUTARS stems broke out of the fractured femoral shaft by removing cerclages (pfemur may occur. This should always be taken into account. It is advisable to secure them and provide a prophylaxis for these fissural fractures by means of cerclages. Copyright © 2015 Elsevier Ltd. All rights reserved.

  17. A characteristic optic disc appearance associated with myopia in subjects with Graves' ophthalmopathy and in subjects with primary open-angle glaucoma

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    Yamazaki S


    Full Text Available Sei Yamazaki,1 Rishu Inoue,2 Toshikazu Tsuboi,3 Ai Kozaki,2 Toshu Inoue,2 Toyoko Inoue,2 Yoichi Inoue21Yamazaki Eye Clinic, Shinagawa-ku, Tokyo, Japan; 2Olympia Eye Hospital, Shibuya-ku, Tokyo, Japan; 3Tsuboi Eye Clinic, Edogawa-ku, Tokyo, JapanPurpose: To determine if qualitatively defining the appearance of optic disc change was a valid characteristic of myopia in subjects with Graves' ophthalmopathy (GO or primary open-angle glaucoma (POAG.Methods: We defined typical tilt appearance as the simultaneous presence of the following: an elliptical optic disc, a crescent, unequal sharpness of the cupping margin (horizontally, and nasally displaced vessels in the optic cup. Ninety-two eyes from 92 subjects each with GO or with POAG and no severe complications were included in the study after matching for spherical refractive errors. Using our definition of tilt appearance, two independent observers subjectively judged optic disc photographs. One observer repeated judgments in 70 randomly selected eyes and judgment reproducibility was assessed using kappa statistics. Tilt ratio was used as a quantitative parameter.Results: The numbers of eyes judged as having a typical tilt appearance in the GO group and in the POAG group were 25 (27.2% and 39 (42.4%, respectively, by one observer (P = 0.0297, and 12 (13% and 44 (47.8%, respectively, by another observer (P < 0.0001. Intra- and interobserver reproducibility of tilt judgment were very good (kappa = 0.93 and good (kappa = 0.65, respectively. Tilt ratio did not significantly differ between the two groups. Analytical results including background factors were essentially the same for the two observers: multivariate logistic regression for one observer's judgment showed that the presence of the typical tilt appearance was associated with belonging to the glaucoma group (odds ratio [OR], 6.25; P = 0.0054, tilt ratio (OR per 0.01, 0.77; P < 0.0001, and spherical refractive error (OR per diopter, 0.80; P < 0

  18. Analyzing Brain Functions by Subject Classification of Functional Near-Infrared Spectroscopy Data Using Convolutional Neural Networks Analysis

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    Satoru Hiwa


    Full Text Available Functional near-infrared spectroscopy (fNIRS is suitable for noninvasive mapping of relative changes in regional cortical activity but is limited for quantitative comparisons among cortical sites, subjects, and populations. We have developed a convolutional neural network (CNN analysis method that learns feature vectors for accurate identification of group differences in fNIRS responses. In this study, subject gender was classified using CNN analysis of fNIRS data. fNIRS data were acquired from male and female subjects during a visual number memory task performed in a white noise environment because previous studies had revealed that the pattern of cortical blood flow during the task differed between males and females. A learned classifier accurately distinguished males from females based on distinct fNIRS signals from regions of interest (ROI including the inferior frontal gyrus and premotor areas that were identified by the learning algorithm. These cortical regions are associated with memory storage, attention, and task motor response. The accuracy of the classifier suggests stable gender-based differences in cerebral blood flow during this task. The proposed CNN analysis method can objectively identify ROIs using fNIRS time series data for machine learning to distinguish features between groups.

  19. An investigation of primary school teachers’ PCK towards science subjects using an ınquiry-based approach

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    Menşure Alkış Küçükaydın


    Full Text Available In this study, the pedagogical content knowledge (PCK of four experienced primary school teachers was investigated within the “Let’s Solve the Riddle of Our Body Unit”. The PCK investigation adopted a learning approach based on inquiry, content representation and pedagogical and professional-experience repertoires (PaP-eRs, and interview forms were used as data collection tools. During the course of the research, the findings obtained from observations made during a total of 18 course hours formed the basic data source of the study. According to the results of the study, in which descriptive and content analysis were used concurrently, primary school teachers lack subject matter knowledge, do not interrogate the pre-knowledge of students and some misconceptions exist regarding about blood moves and exercise with pulse. Additionally, some deficiencies were detected in the curriculum, i.e., it offers non-inquisitional knowledge. Furthermore, teachers employee assessment methods with traditional teaching methods and techniques. In the context of an inquiry-based learning approach, teachers appeared to believe that classroom activities were adversely affected by the physical conditions (class size, lack of laboratory etc., students’ cognitive levels and parent profiles. The result of this study revealed that PCK components affect one another. The PCK findings pertaining to primary school teachers as it concerns the unit are briefly discussed and some suggestions about the development of PCK are submitted.

  20. Agriculture vs. social sciences: subject classification and sociological conceptualization of rural tourism in Scopus and Web of Science

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    Marjan HOČEVAR


    Full Text Available Agriculture and consumptive function of countryside (rural areas are connected which should be reflected in scientific research. In order to test relationships, we selected the topic of rural tourism (also agritourism, agrotourism, agricultural tourism considering sociological conceptualization (social sciences, sociology and methodological approaches of information sciences (bibliometrics, scientometrics in describing fields of science or scientific disciplines. We ascertained scatter of information in citation databases (Web of Science, Scopus, Google Scholar. Functionalities were evaluated, affecting search precision and recall in information retrieval. We mapped documents to Scopus subject areas as well as Web of Science (WOS research areas and subject categories, and related publications (journals. Databases do not differ substantially in mapping this topic. Social sciences (including economics or business occupy by far the most important place. The strongest concentration was found in tourism-related journals (consistent with power laws. Agriculture-related publications are rare, accounting for some 10 % of documents. Interdisciplinarity seems to be weak. Results point to poor inclusion of emerging social topics in agricultural research whereby agriculture may lose out in possible venues of future research.

  1. Classification of cirrhotic patients with or without minimal hepatic encephalopathy and healthy subjects using resting-state attention-related network analysis.

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    Hua-Jun Chen

    Full Text Available BACKGROUND: Attention deficit is an early and key characteristic of minimal hepatic encephalopathy (MHE and has been used as indicator for MHE detection. The aim of this study is to classify the cirrhotic patients with or without MHE (NMHE and healthy controls (HC using the resting-state attention-related brain network analysis. METHODS AND FINDINGS: Resting-state fMRI was administrated to 20 MHE patients, 21 NMHE patients, and 17 HCs. Three attention-related networks, including dorsal attention network (DAN, ventral attention network (VAN, and default mode network (DMN, were obtained by independent component analysis. One-way analysis of covariance was performed to determine the regions of interest (ROIs showing significant functional connectivity (FC change. With FC strength of ROIs as indicators, Linear Discriminant Analysis (LDA was conducted to differentiate MHE from HC or NMHE. Across three groups, significant FC differences were found within DAN (left superior/inferior parietal lobule and right inferior parietal lobule, VAN (right superior parietal lobule, and DMN (bilateral posterior cingulate gyrus and precuneus, and left inferior parietal lobule. With FC strength of ROIs from three networks as indicators, LDA yielded 94.6% classification accuracy between MHE and HC (100% sensitivity and 88.2% specificity and 85.4% classification accuracy between MHE and NMHE (90.0% sensitivity and 81.0% specificity. CONCLUSIONS: Our results suggest that the resting-state attention-related brain network analysis can be useful in classification of subjects with MHE, NMHE, and HC and may provide a new insight into MHE detection.

  2. Effect of transcutaneous electric nerve stimulation (TENS on hormones profile in subjects with primary dysmenorrhoea - a preliminary study

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    S. R. A. Akinbo


    Full Text Available Background & Objective: Primary dysmenorrhoea (PD is definedas the occurrence of painful menstrual cramps of uterine origin which occurs in the absence of any underlying disease. The pathogenesis is unclear, but uterine hyperactivity, elevated prostaglandin and leukotrienes levels, and hormonal level fluctuations have all been implicated. The objective of this study was to evaluate the effect of TENS on the hormones cortisol and prolactin in individuals with PD.Methods: Plasma levels of cortisol and prolactin were studied in twenty-one (21 subjects with PD by obtaining blood samples from each subject pre-and post-TENS therapy on the first day of menstruation. The mean age of subjects was 23 (+ 2 years.  The Visual Analogue Scale (VAS was used to assess the pre-and post-treatment pain intensity.  The TENS unit was applied for a duration of 30 minutes.Results: A paired t-test showed that there was an overall reduction in the mean cortisol and prolactin from  pre treatment values of 28.45µg/dl ((5.27 and 56.81ng/ml ((31.86 to post treatment values of 27.33µg/dl ((5.13 and 53.23ng/ml ((37.63 respectively. However, these differences were not statistically significant (P>0.05.  Pain intensity was significantly reduced comparing pre and post treatment VAS scores (P = 0.001.Conclusion: The probable mechanism by which TENS effected alterations in cortisol and prolactin levels and pain reduction in subjects with PD might be through the opioid-modulating analgesia system, which releases B-endorphins and other endogenous opiates in response to pain.  This is because there is a close relationship between B-endorphin, cortisol and neurons, which secrete dopamine into the hypothalamic-pituitary-portal system.

  3. Circadian intraocular pressure patterns in healthy subjects, primary open angle and normal tension glaucoma patients with a contact lens sensor. (United States)

    Agnifili, Luca; Mastropasqua, Rodolfo; Frezzotti, Paolo; Fasanella, Vincenzo; Motolese, Ilaria; Pedrotti, Emilio; Di Iorio, Angelo; Mattei, Peter A; Motolese, Eduardo; Mastropasqua, Leonardo


    To examine the circadian intraocular pressure (IOP) patterns in healthy subjects, in primary open angle and normal tension glaucoma (POAG; NTG) using a contact lens sensor (CLS; Sensimed Triggerfish, Lausanne, Switzerland). This was an observational, nonrandomized study. Ten healthy subjects (Group 1, 10 eyes) and 20 glaucomatous patients [20 eyes, 10 with POAG (Group 2) and 10 with NTG (Group 3)] were enrolled. All patients were controlled with prostaglandin analogues. The 24-hr IOP pattern was the main outcome. The morning (6AM-11AM), afternoon/evening (noon-11PM) and night (midnight-5AM) subperiod patterns, peaks and prolonged peaks (>1 hr) were secondary outcomes. Mean 24-hr IOP pattern showed a nocturnal acrophase in all groups. Patterns were significantly different among groups (p = 0.02), with highest nocturnal IOP values in POAG. Prolonged peaks were more common in patients with glaucoma (70%) than in healthy subjects (33.3%) (p < 0.001). Significant differences were found for Groups 2 and 3 in the morning versus afternoon/evening (p = 0.019 and p = 0.035, Bonferroni correction), morning versus night (p = 0.005 and p < 0.0001) and afternoon/evening versus night periods comparisons (p < 0.0001 for both groups). In Group 1, patterns significantly differed in the morning versus night and afternoon/evening versus night period comparisons (p < 0.0001). Continuous 24-hr IOP monitoring with the CLS revealed a nocturnal acrophase in healthy subjects and, more markedly, in glaucoma. Because the diurnal IOP profile seems not to predict the nocturnal rhythm, the circadian IOP pattern should be evaluated in clinical practice. These findings may be worthwhile for the management of glaucoma. © 2014 Acta Ophthalmologica Scandinavica Foundation. Published by John Wiley & Sons Ltd.

  4. Towards the identification of imaging biomarkers in schizophrenia, using multivariate pattern classification at a single-subject level. (United States)

    Zarogianni, Eleni; Moorhead, Thomas W J; Lawrie, Stephen M


    Standard univariate analyses of brain imaging data have revealed a host of structural and functional brain alterations in schizophrenia. However, these analyses typically involve examining each voxel separately and making inferences at group-level, thus limiting clinical translation of their findings. Taking into account the fact that brain alterations in schizophrenia expand over a widely distributed network of brain regions, univariate analysis methods may not be the most suited choice for imaging data analysis. To address these limitations, the neuroimaging community has turned to machine learning methods both because of their ability to examine voxels jointly and their potential for making inferences at a single-subject level. This article provides a critical overview of the current and foreseeable applications of machine learning, in identifying imaging-based biomarkers that could be used for the diagnosis, early detection and treatment response of schizophrenia, and could, thus, be of high clinical relevance. We discuss promising future research directions and the main difficulties facing machine learning researchers as far as their potential translation into clinical practice is concerned.

  5. Ultrasonography of major salivary glands compared with parotid and labial gland biopsy and classification criteria in patients with clinically suspected primary Sjögren's syndrome. (United States)

    Mossel, Esther; Delli, Konstantina; van Nimwegen, Jolien F; Stel, Alja J; Kroese, Frans G M; Spijkervet, Fred K L; Vissink, Arjan; Arends, Suzanne; Bootsma, Hendrika


    To assess the validity of ultrasound of major salivary glands (sUS) compared with parotid and labial gland biopsies, sialometry, anti-SSA/Ro antibody status and classification criteria in patients clinically suspected with primary Sjögren's syndrome (pSS). 103 consecutive outpatients with clinically suspected pSS underwent sUS. Parenchymal echogenicity, homogeneity, hypoechogenic areas, hyperechogenic reflections and clearness of salivary gland border were scored according to the Hocevar scoring system. Total ultrasound score was calculated as the sum of these domains (range 0-48). Absolute agreement between sUS and parotid (83%) and labial (79%) gland biopsy outcome was good. Negative sUS predicts negative parotid gland biopsy, and positive sUS predicts positive labial gland biopsy. Compared with the American European Consensus Group (AECG) classification, sUS showed an absolute agreement of 82%, sensitivity of 71% and specificity of 92%. Compared with the American College of Rheumatology (ACR) classification, absolute agreement was 86%, sensitivity was 77% and specificity was 92%. Compared with the ACR-European League Against Rheumatism (EULAR) classification, absolute agreement was 80%, sensitivity was 67% and specificity was 94%. Positive sUS predicts classification, but negative sUS does not exclude classification. The combination of positive sUS with presence of anti-SSA/Ro antibodies or negative sUS with absence of anti-SSA/Ro antibodies showed a high predictive value for classification as pSS or non-pSS. In our prospective inception cohort study derived from daily clinical practice, absolute agreement between sUS and salivary gland biopsies was slightly higher for parotid compared with labial gland biopsies. The combination of positive sUS and presence of anti-SSA/Ro antibodies highly predicts classification according to the AECG, ACR and ACR-EULAR classification criteria. © Article author(s) (or their employer(s) unless otherwise stated in the text of

  6. Plateau Iris Distribution Across Anterior Segment Optical Coherence Tomography Defined Subgroups of Subjects With Primary Angle Closure Glaucoma. (United States)

    Verma, Sushma; Nongpiur, Monisha E; Oo, Hnin H; Atalay, Eray; Goh, David; Wong, Tina T; Perera, Shamira A; Aung, Tin


    We previously identified three distinct subgroups of patients with primary angle closure glaucoma (PACG) based on anterior segment optical coherence tomography (ASOCT) imaging. Group 1 was characterized by a large iris area with deepest anterior chambers, group 2 by a large lens vault (LV) and shallow anterior chamber depth (ACD), and group 3 displayed intermediate values across iris area, LV, and ACD. The purpose of the present study was to determine the distribution of plateau iris in these subgroups using ultrasound biomicroscopy (UBM) features. UBM images of the 210 subjects who were previously enrolled for the ASOCT subgrouping analysis and had undergone laser peripheral iridotomy were assessed and graded by a single glaucoma fellowship trained clinician. Plateau iris was defined as the presence of all the following UBM criteria in at least two quadrants: anteriorly directed ciliary body, absent ciliary sulcus, iris angulation, flat iris plane, and iridoangle touch. Of 210 subjects, 23 were excluded due to poor-quality images. Based on standardized UBM criteria, the overall prevalence of plateau iris was 36.9% (n = 187). The proportion of plateau iris was similar across the three groups (subgroup 1:35.4% (n = 29); subgroup 2:39.0% (n = 32); subgroup 3:34.8% (n = 8), P = 0.87). On multiple logistic regression analysis, iris thickness at 750 μm from the scleral spur (IT750) was the only variable associated with plateau iris (odds ratio: 1.5/100 μm increase in iris thickness [IT], P = 0.04). The proportion of plateau iris was similar across the three ASOCT-based PACG subgroups and more than one-third of subjects with PACG were diagnosed with plateau iris based on standardized UBM criteria. In addition, we noted that eyes with increased peripheral IT have an increased likelihood of plateau iris.

  7. Path Analysis of Work Family Conflict, Job Salary and Promotion Satisfaction, Work Engagement to Subjective Well-Being of the Primary and Middle School Principals (United States)

    Hu, Chun-mei; Cui, Shu-jing; Wang, Lei


    Objective: To investigate the path analysis of work family conflict, job salary and promotion satisfaction, work engagement to subjective well-being of the primary and middle school principals, and provide advice for enhancing their well-being. Methods: Using convenient sampling, totally 300 primary and middle school principals completed the WFC,…

  8. A comparison of select trunk muscle thickness change between subjects with low back pain classified in the treatment-based classification system and asymptomatic controls. (United States)

    Kiesel, Kyle B; Underwood, Frank B; Mattacola, Carl G; Matacolla, Carl; Nitz, Arthur J; Malone, Terry R


    Cross-sectional descriptive. To investigate if muscle thickness change, as measured with rehabilitative ultrasound imaging (RUSI), is different across subgroups of patients with low back pain (LBP), classified in the Treatment-Based Classification (TBC) system, when compared to controls. Researchers have demonstrated that subgroups of patients with LBP exist and respond differently to treatment, challenging the assertion that LBP is "nonspecific." The TBC system uses 4 categories (stabilization, mobilization, direction specific exercise, or traction) to subgroup patients. Recently, researchers have demonstrated impairments of the transverse abdominis (TrA) and lumbar multifidus (LM) in those with LBP, regardless of classification. Although distinct differences in impairments have been identified between subgroups, TrA and LM impairments have not been studied and may be present across categories of the TBC system. RUSI was utilized to measure percent thickness change from rest to contracted state during a voluntary task of the TrA and during an upper extremity task known to activate the LM in 56 subjects classified in the TBC system and 20 controls. During the prone upper extremity lifting task with a hand weight, there was a significant group difference for the LM at L4-L5 (P = .03) and at L5-S1 (P = .04), and during volitional activation for the TrA (P < .01). Post hoc testing revealed the differences were between controls and both the direction specific and stabilization categories at the L4-L5 level, between control and direction specific category for the L5-S1 level, and between controls and all 3 categories for the TrA. Deficits in the ability to generate muscle thickness changes in the TrA and LM occurred across categories of the TBC system. Intervention studies should be performed to determine if intervention can correct these deficits and if deficit corrections are related to outcomes.

  9. Short-Term Intra-Subject Variation in Exhaled Volatile Organic Compounds (VOCs in COPD Patients and Healthy Controls and Its Effect on Disease Classification

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    Christopher Phillips


    Full Text Available Exhaled volatile organic compounds (VOCs are of interest for their potential to diagnose disease non-invasively. However, most breath VOC studies have analyzed single breath samples from an individual and assumed them to be wholly consistent representative of the person. This provided the motivation for an investigation of the variability of breath profiles when three breath samples are taken over a short time period (two minute intervals between samples for 118 stable patients with Chronic Obstructive Pulmonary Disease (COPD and 63 healthy controls and analyzed by gas chromatography and mass spectroscopy (GC/MS. The extent of the variation in VOC levels differed between COPD and healthy subjects and the patterns of variation differed for isoprene versus the bulk of other VOCs. In addition, machine learning approaches were applied to the breath data to establish whether these samples differed in their ability to discriminate COPD from healthy states and whether aggregation of multiple samples, into single data sets, could offer improved discrimination. The three breath samples gave similar classification accuracy to one another when evaluated separately (66.5% to 68.3% subjects classified correctly depending on the breath repetition used. Combining multiple breath samples into single data sets gave better discrimination (73.4% subjects classified correctly. Although accuracy is not sufficient for COPD diagnosis in a clinical setting, enhanced sampling and analysis may improve accuracy further. Variability in samples, and short-term effects of practice or exertion, need to be considered in any breath testing program to improve reliability and optimize discrimination.

  10. Measurement of ECG abnormalities and cardiovascular risk classification: a cohort study of primary care patients in the Netherlands

    NARCIS (Netherlands)

    de Groot, A.; Bots, M.L.; Rutten, F.H.; den Ruijter, H.M.; Numans, M.E.; Vaartjes, I.


    Background: GPs need accurate tools for cardiovascular (CV) risk assessment. Abnormalities in resting electrocardiograms (ECGs) relate to increased CV risk. Aim: To determine whether measurement of ECG abnormalities on top of established risk estimation (SCORE) improves CV risk classification in a

  11. Net ecosystem productivity, net primary productivity and ecosystem carbon sequestration in a Pinus radiata plantation subject to soil water deficit

    Energy Technology Data Exchange (ETDEWEB)

    Arneth, A.; Kelleher, F. M. [Lincoln Univ., Soil Sience Dept., Lincoln, (New Zealand); McSeveny, T. M. [Manaaki Whenua-Landcare Research, Lincoln, (New Zealand); Byers, J. N. [Almuth Arneth Landcare Research, Lincoln (New Zealand)


    Tree carbon uptake (net primary productivity excluding fine root turnover, NPP`) in pine trees growing in a region of New Zealand subject to summer soil water deficit was investigated jointly with canopy assimilation (A{sub c}) and ecosystem-atmosphere carbon exchange rate (net ecosystem productivity, NEP). Canopy assimilation and NEP were used to drive a biochemically-based and environmentally constrained model validated by seasonal eddy covariance measurements. Over a three year period with variable rainfall annual NPP` and NEP showed significant variations. At the end of the growing season, carbon was mostly allocated to wood, with nearly half to stems and about a quarter to coarse roots. On a biweekly basis NPP` lagged behind A{sub c}, suggesting the occurrence of intermediate carbon storage. On an annual basis, however the NPP`/A{sub c} ratio indicated a conservative allocation of carbon to autotrophic respiration. The combination of data from measurements with canopy and ecosystem carbon fluxes yielded an estimate of heterotrophic respiration (NPP`-NEP) of approximately 30 per cent of NPP` and 50 per cent NEP. The annual values of NEP and NPP` can also be used to derive a `best guess` estimate of the annual below-ground carbon turnover rate, assuming that the annual changes in the soil carbon content is negligible. 46 refs., 7 figs.

  12. Finnish Primary and Secondary School Students' Interest in Music and Mathematics Relating to Enjoyment of the Subject and Perception of the Importance and Usefulness of the Subject (United States)

    Tossavainen, Timo; Juvonen, Antti


    Based on an expectancy-value theoretical framework and data (n = 1654) collected in 29 Finnish municipalities using a structured questionnaire, this study examines primary (grades 5-6), lower secondary (grades 7-9) and upper secondary (grades 10-12) students' motivation in music and mathematics. It explores in detail the students' interest in…

  13. Combination of cytogenetic classification and MRD status correlates with outcome of autologous versus allogeneic stem cell transplantation in adults with primary acute myeloid leukemia in first remission. (United States)

    Yao, Jianfeng; Zhang, Guixin; Liang, Chen; Li, Gang; Chen, Xin; Ma, Qiaoling; Zhai, Weihua; Yang, Donglin; He, Yi; Jiang, Erlie; Feng, Sizhou; Han, Mingzhe


    Both autologous and allogeneic stem cell transplantation (auto- and allo-SCT) are treatment choice for adults with acute myeloid leukemia (AML) after complete remission (CR). However, the decision-making remains controversial in some situations. To figure out the treatment choice, we retrospectively investigated 172 consecutive patients with primary AML who received auto- (n=46) or allo-SCT (n=126) from a single transplant center. Auto- and allo-SCT group demonstrated comparable overall survival (OS) and disease-free survival (DFS) (P=0.616, P=0.559, respectively). Cytogenetic classification and minimal residual disease (MRD) after one course of consolidation were identified as independent risk factors for DFS (hazard ratio (HR), 1.800; 95% CI, 1.172-2.763; P=0.007; HR, 2.042; 95%CI, 1.003-4.154; P=0.049; respectively). We subsequently found that auto- and allo-SCT offered comparable DFS to patients with favorable or intermediate risk and were tested MRD neg after one course of consolidation (P=0.270) otherwise auto-SCT were inferior due to increased risk of leukemia relapse. Our study indicated that the combination of cytogenetic classification and MRD monitoring correlated with outcome of auto- versus allo-SCT and might help the choice between the two types of SCT for adults with primary AML, which is of significance for patients with expected intermediate prognosis in the current scenario. Copyright © 2017 Elsevier Ltd. All rights reserved.

  14. A phase 2a randomized controlled study to evaluate the pharmacokinetic, safety, tolerability and clinical effect of topically applied Umeclidinium in subjects with primary axillary hyperhidrosis. (United States)

    Nasir, A; Bissonnette, R; Maari, C; DuBois, J; Pene Dumitrescu, T; Haddad, J; Yamaguchi, Y; Dalessandro, M


    Hyperhidrosis is a common medical condition which can have a significant impact on quality of life. Umeclidinium (UMEC) is a long-acting muscarinic antagonist (LAMA) developed as a dermal formulation. This 2-week, double-blind, randomized, vehicle-controlled study evaluated systemic exposure, safety and tolerability of topically administered UMEC in subjects with primary axillary hyperhidrosis. Clinical effect was a secondary objective, measured by gravimetry and the hyperhidrosis disease severity scale (HDSS). Vehicle was included to evaluate safety. Twenty-three subjects were randomized to either 1.85% UMEC (N = 18) or vehicle (N = 5) once daily. Measurable plasma concentrations were observed in 78% of subjects after the treatment. Nine subjects (50%) on UMEC and two subjects (40%) on vehicle reported AEs, most commonly application site reactions. At Day 15, seven subjects (41%) in UMEC and two subjects (40%) in vehicle had at least a 50% reduction in sweat production. Eight subjects (47%) in UMEC and one subject (20%) in vehicle had at least a two-point reduction in HDSS. No comparisons of treatment arms were planned prospectively. The measurable exposure, acceptable safety and preliminary clinical activity observed in this proof-of-concept study suggest the potential clinical utility of topical UMEC in subjects with axillary hyperhidrosis. © 2017 European Academy of Dermatology and Venereology.

  15. On the integrity of functional brain networks in schizophrenia, Parkinson's disease, and advanced age: Evidence from connectivity-based single-subject classification. (United States)

    Pläschke, Rachel N; Cieslik, Edna C; Müller, Veronika I; Hoffstaedter, Felix; Plachti, Anna; Varikuti, Deepthi P; Goosses, Mareike; Latz, Anne; Caspers, Svenja; Jockwitz, Christiane; Moebus, Susanne; Gruber, Oliver; Eickhoff, Claudia R; Reetz, Kathrin; Heller, Julia; Südmeyer, Martin; Mathys, Christian; Caspers, Julian; Grefkes, Christian; Kalenscher, Tobias; Langner, Robert; Eickhoff, Simon B


    Previous whole-brain functional connectivity studies achieved successful classifications of patients and healthy controls but only offered limited specificity as to affected brain systems. Here, we examined whether the connectivity patterns of functional systems affected in schizophrenia (SCZ), Parkinson's disease (PD), or normal aging equally translate into high classification accuracies for these conditions. We compared classification performance between pre-defined networks for each group and, for any given network, between groups. Separate support vector machine classifications of 86 SCZ patients, 80 PD patients, and 95 older adults relative to their matched healthy/young controls, respectively, were performed on functional connectivity in 12 task-based, meta-analytically defined networks using 25 replications of a nested 10-fold cross-validation scheme. Classification performance of the various networks clearly differed between conditions, as those networks that best classified one disease were usually non-informative for the other. For SCZ, but not PD, emotion-processing, empathy, and cognitive action control networks distinguished patients most accurately from controls. For PD, but not SCZ, networks subserving autobiographical or semantic memory, motor execution, and theory-of-mind cognition yielded the best classifications. In contrast, young-old classification was excellent based on all networks and outperformed both clinical classifications. Our pattern-classification approach captured associations between clinical and developmental conditions and functional network integrity with a higher level of specificity than did previous whole-brain analyses. Taken together, our results support resting-state connectivity as a marker of functional dysregulation in specific networks known to be affected by SCZ and PD, while suggesting that aging affects network integrity in a more global way. Hum Brain Mapp 38:5845-5858, 2017. © 2017 Wiley Periodicals, Inc. © 2017

  16. "Poetry Is Happening but I Don't Exactly Know How": Literacy Subject Leaders' Perceptions of Poetry in Their Primary Schools (United States)

    Lambirth, Andrew; Smith, Sarah; Steele, Susanna


    Evidence suggests (Ofsted, 2007) that the role of the Subject Leader is crucial in how well poetry is taught in schools. This paper attempts to provide some insights on "what it is like" to coordinate poetry teaching in a primary school. Some of the data confirm elements of the findings from earlier research on the state of poetry in…

  17. Attitudes, subjective norms, and intention to perform routine oral examination for oropharyngeal candidiasis as perceived by primary health-care providers in Nairobi Province

    NARCIS (Netherlands)

    Koyio, L.N.; Kikwilu, E.N.; Mulder, J.; Frencken, J.E.F.M.


    Objectives: To assess attitudes, subjective norms, and intentions of primary health-care (PHC) providers in performing routine oral examination for oropharyngeal candidiasis (OPC) during outpatient consultations. Methods: A 47-item Theory of Planned Behaviour-based questionnaire was developed and

  18. Prevalence of chronic obstructive pulmonary disease among stable chronic disease subjects in primary care in Trinidad, West Indies


    Thorington, Peterson; Rios, Maria; Avila, Gina; Henry, Josia; Haynes, C.; Pereira, Lexley M Pinto; Seemungal, Terence AR


    The prevalence of COPD in the Caribbean is uncertain. Spirometric indices were assessed at chronic disease clinics in 353 subjects (African, 66; East Indian, 198; 109 male), mean age 56.51 years (non-COPD) vs 59.30 years (COPD). 77 (21.8%) patients had COPD. 33.3% of COPD subjects had chronic cough vs 19.7% of subjects without COPD. A history of at least one chest infection was related to low FEV1 (P=0.005). In subjects presenting with vascular disease the FVC was reduced when compared to oth...

  19. Progression from impaired fasting glucose to type 2 diabetes mellitus among Chinese subjects with and without hypertension in a primary care setting. (United States)

    Fu, Sau Nga; Luk, Wan; Wong, Carlos King Ho; Cheung, Kwok Leung


    The progression from impaired fasting glucose (IFG) to type 2 diabetes mellitus (T2DM) in Chinese subjects, with and without hypertension, in a primary care setting was unknown. The present retrospective multicenter 5-year (2002-2007) cohort study was performed on IFG subjects attending 23 general outpatient clinics who were identified by their elevated fasting blood glucose laboratory results. Development of T2DM was determined by physician diagnosis of T2DM or starting of oral antidiabetic drugs within 5 years. The relationship between the time of T2DM diagnosis and subject characteristics was assessed by adjusted hazard ratios (aHR) from Cox hazards model. Of the 9161 IFG subjects, 4080 (45%) were men and 5081 (55%) were women. There were 1998 subjects who developed T2DM. The 5-year cumulative incidence was 0.218, whereas the overall annual incidence rate was 5.981/100 person-years. Subjects were more likely to develop T2DM if they were hypertensive (aHR = 1.44; 95% confidence interval [CI] 1.28-1.62; P primary care setting developed T2DM within 5 years. Health care professionals can target interventions to patients with risk factors for disease progression. © 2014 Ruijin Hospital, Shanghai Jiaotong University School of Medicine and Wiley Publishing Asia Pty Ltd.

  20. Restaging and Survival Analysis of 4036 Ovarian Cancer Patients According to the 2013 FIGO Classification for Ovarian, Fallopian Tube, and Primary Peritoneal Cancer

    DEFF Research Database (Denmark)

    Rosendahl, Mikkel; Høgdall, Claus Kim; Mosgaard, Berit Jul


    OBJECTIVE: With the 2013 International Federation of Gynecology and Obstetrics (FIGO) staging for ovarian, fallopian tube, and primary peritoneal cancer, the number of substages changed from 10 to 14. Any classification of a malignancy should easily assign patients to prognostic groups, refer...... patients to individualized treatments, and allow benchmarking and comparison of patients and results between centers. The stage should reflect survival in particular. The objective of the study was to validate these requirements of the revised FIGO staging on a high number of ovarian cancer patients....... MATERIALS AND METHODS: Demographic, surgical, histological, and survival data from 4036 ovarian cancer patients were used in the analysis. Five-year survival rates (5YSR) and hazard ratios for the old and revised FIGO staging were calculated using Kaplan-Meier curves and Cox regression. RESULTS: A total...

  1. Subjective Social Status and Rumination in Relation to Anxiety and Depressive Symptoms and Psychopathology Among Economically Disadvantaged Latinos in Primary Care. (United States)

    Talavera, David C; Paulus, Daniel J; Garza, Monica; Ochoa-Perez, Melissa; Lemaire, Chad; Valdivieso, Jeanette; Bogiaizian, Daniel; Robles, Zuzuky; Bakhshaie, Jafar; Manning, Kara; Walker, Rheeda; Businelle, Michael; Zvolensky, Michael J


    The present investigation examined the interactive effects of subjective social status and rumination in relation to anxiety/depressive symptoms and psychopathology among 276 Latinos (82% female; Mage = 39.2, SD = 11.1; 97.0% reported Spanish as first language) who attended a community-based primary health care clinic. Results indicated that the interaction between rumination and subjective social status was significantly associated with depression (B = -.04, t = -3.52, p anxiety (B = -.01, t = -3.84, p anxiety disorders (B = -.004, t = -2.80, p = .005, 95% CI [-.006, -.001]), after controlling for main effects of rumination and subjective social status. The form of the interactions suggested that the associations of rumination and the outcome variables were stronger for those with lower compared to higher subjective social status. For anxious arousal symptoms, however, there was not a statistically significant interaction. These findings underscore the potential importance of examining the interplay between rumination and subjective social status in regard to better understanding, and intervening to reduce, various forms of anxiety/depressive symptoms and disorders among Latinos in primary care settings. (PsycINFO Database Record (c) 2017 APA, all rights reserved).

  2. Positron Emission Tomography/Computed Tomography Assessment After Immunochemotherapy and Irradiation Using the Lugano Classification Criteria in the IELSG-26 Study of Primary Mediastinal B-Cell Lymphoma

    Energy Technology Data Exchange (ETDEWEB)

    Ceriani, Luca, E-mail: [Nuclear Medicine and PET-CT Center, Oncology Institute of Southern Switzerland, Bellinzona (Switzerland); Martelli, Maurizio [Department of Cellular Biotechnologies and Hematology, Sapienza University, Rome (Italy); Gospodarowicz, Maria K. [Radiation Oncology, University of Toronto, Toronto, Ontario (Canada); Ricardi, Umberto [Department of Oncology, University of Torino, Torino (Italy); Ferreri, Andrés J.M. [Unit of Lymphoid Malignancies, Department of Onco-Hematology, Istituto Di Ricovero e Cura a Carattere Scientifico (IRCCS) San Raffaele Scientific Institute, Milano (Italy); Chiappella, Annalisa [Hematology, Azienda Ospedaliera Universitaria Città della Salute e della Scienza, Torino (Italy); Stelitano, Caterina [Hematology, Azienda Ospedaliera Bianchi-Melacrino-Morelli, Reggio Calabria (Italy); Balzarotti, Monica [Hematology, IRCCS Humanitas Cancer Center, Rozzano, Milan (Italy); Cabrera, Maria E. [Hematology, Hospital del Salvador, Universidad de Chile, Santiago (Chile); Cunningham, David [Department of Medicine, The Royal Marsden National Health Service Foundation Trust, London and Surrey (United Kingdom); Guarini, Attilio [Hematology Unit, Istituto Nazionale Tumori Giovanni Paolo II IRCCS, Bari (Italy); Zinzani, Pier Luigi [Institute of Hematology and Medical Oncology, Policlinico S.Orsola-Malpighi, Bologna (Italy); Giovanella, Luca [Nuclear Medicine and PET-CT Center, Oncology Institute of Southern Switzerland, Bellinzona (Switzerland); Johnson, Peter W.M. [Cancer Research UK Centre, University of Southampton, Southampton (United Kingdom); Zucca, Emanuele [Oncology Department, Oncology Institute of Southern Switzerland, Bellinzona (Switzerland)


    Purpose: To assess the predictive value of {sup 18}F-fluorodeoxyglucose positron emission tomography/computed tomography (PET/CT) for disease recurrence after immunochemotherapy (R-CHT) and mediastinal irradiation (RT), using the recently published criteria of the Lugano classification to predict outcomes for patients with primary mediastinal large B-cell lymphoma. Methods and Materials: Among 125 patients prospectively enrolled in the IELSG-26 study, 88 were eligible for central review of PET/CT scans after completion of RT. Responses were evaluated using the 5-point Deauville scale at the end of induction R-CHT and after consolidation RT. According to the Lugano classification, a complete metabolic response (CMR) was defined by a Deauville score (DS) ≤3. Results: The CMR (DS1, -2, or -3) rate increased from 74% (65 patients) after R-CHT to 89% (78 patients) after consolidation RT. Among the 10 patients (11%) with persistently positive scans, the residual uptake after RT was slightly higher than the liver uptake in 6 patients (DS4; 7%) and markedly higher in 4 patients (DS5; 4%): these patients had a significantly poorer 5-year progression-free survival and overall survival. At a median follow-up of 60 months (range, 35-107 months), no patients with a CMR after RT have relapsed. Among the 10 patients who did not reach a CMR, 3 of the 4 patients (positive predictive value, 75%) with DS5 after RT had subsequent disease progression (within the RT volume in all cases) and died. All patients with DS4 had good outcomes without recurrence. Conclusions: All the patients obtaining a CMR defined as DS ≤3 remained progression-free at 5 years, confirming the excellent negative predictive value of the Lugano classification criteria in primary mediastinal large B-cell lymphoma patients. The few patients with DS4 also had an excellent outcome, suggesting that they do not necessarily require additional therapy, because the residual {sup 18}F-fluorodeoxyglucose uptake may

  3. Narcolepsy associated with primary temporal lobe B-cells lymphoma in a HLA DR2 negative subject.


    Onofrj, M; Curatola, L; Ferracci, F; Fulgente, T


    Narcolepsy and cataplexy began one year before treatment of a left mid-temporal primary B-cells lymphoma in a HLA DR2 negative man. Treatment with radio therapy and immunosuppression induced regression of the lymphoma and disappearance of narcolepsy and cataplexy.

  4. Core subjects at the end of primary school: identifying and explaining relative strengths of children with specific language impairment (SLI). (United States)

    Durkin, Kevin; Mok, Pearl L H; Conti-Ramsden, Gina


    In general, children with specific language impairment (SLI) tend to fall behind their typically developing (TD) peers in educational attainment. Less is known about how children with SLI fare in particular areas of the curriculum and what predicts their levels of performance. To compare the distributions of performance of children with SLI in three core school subjects (English, Mathematics and Science); to test the possibility that performance would vary across the core subjects; and to examine the extent to which language impairment predicts performance. This study was conducted in England and reports historical data on educational attainments. Teacher assessment and test scores of 176 eleven-year-old children with SLI were examined in the three core subjects and compared with known national norms. Possible predictors of performance were measured, including language ability at ages 7 and 11, educational placement type, and performance IQ. Children with SLI, compared with national norms, were found to be at a disadvantage in core school subjects. Nevertheless, some children attained the levels expected of TD peers. Performance was poorest in English; relative strengths were indicated in Science and, to a lesser extent, in Mathematics. Language skills were significant predictors of performance in all three core subjects. PIQ was the strongest predictor for Mathematics. For Science, both early language skills at 7 years and PIQ made significant contributions. Language impacts on the school performance of children with SLI, but differentially across subjects. English for these children is the most challenging of the core subjects, reflecting the high levels of language demand it incurs. Science is an area of relative strength and mathematics appears to be intermediate, arguably because some tasks in these subjects can be performed with less reliance on verbal processing. Many children with SLI do have the potential to reach or exceed educational targets that are set

  5. Digital media promoting new approaches to subject specific didactics in visual arts education in primary school, high school, teacher education and university education

    DEFF Research Database (Denmark)

    Skov, Kirsten

    Digital media promoting new approaches to subject specific didactics in visual arts education in primary school, high school, teacher education and university education The symposium addresses current developments in visual arts education based on empirical projects from different levels of the e......Digital media promoting new approaches to subject specific didactics in visual arts education in primary school, high school, teacher education and university education The symposium addresses current developments in visual arts education based on empirical projects from different levels......, social aesthetics, community art and co-creation all represent an approach to art production and appreciation where content, media and visual expressions unfold in societal, digital, collaborative, and transgressive constellations involving the art maker and audiences in social and relational projects...

  6. Predicting the onset of major depression in subjects with subthreshold depression in primary care: A prospective study.

    NARCIS (Netherlands)

    Cuijpers, P.; Smit, H.F.E.; Willemse, G.


    Objective: That subjects with subthreshold depression have an increased probability of developing major depression has been confirmed by many studies. However, the factors which may predict the onset of major depression have yet to be fully examined. Method: We examined the control group of a

  7. Effects of laser peripheral iridotomy on corneal endothelial cell density and cell morphology in primary angle closure suspect subjects

    Directory of Open Access Journals (Sweden)

    Hossein Jamali


    Conclusion: In PACS eyes, we did not find a decline in corneal endothelial cell density or a change in cell morphological characteristics, including cell hexagonality and CV, in the central, nasal, and temporal regions of the cornea in any of our subjects over a one-year follow-up period.

  8. Evaluation of machine learning algorithms for classification of primary biological aerosol using a new UV-LIF spectrometer (United States)

    Ruske, Simon; Topping, David O.; Foot, Virginia E.; Kaye, Paul H.; Stanley, Warren R.; Crawford, Ian; Morse, Andrew P.; Gallagher, Martin W.


    Characterisation of bioaerosols has important implications within environment and public health sectors. Recent developments in ultraviolet light-induced fluorescence (UV-LIF) detectors such as the Wideband Integrated Bioaerosol Spectrometer (WIBS) and the newly introduced Multiparameter Bioaerosol Spectrometer (MBS) have allowed for the real-time collection of fluorescence, size and morphology measurements for the purpose of discriminating between bacteria, fungal spores and pollen.This new generation of instruments has enabled ever larger data sets to be compiled with the aim of studying more complex environments. In real world data sets, particularly those from an urban environment, the population may be dominated by non-biological fluorescent interferents, bringing into question the accuracy of measurements of quantities such as concentrations. It is therefore imperative that we validate the performance of different algorithms which can be used for the task of classification.For unsupervised learning we tested hierarchical agglomerative clustering with various different linkages. For supervised learning, 11 methods were tested, including decision trees, ensemble methods (random forests, gradient boosting and AdaBoost), two implementations for support vector machines (libsvm and liblinear) and Gaussian methods (Gaussian naïve Bayesian, quadratic and linear discriminant analysis, the k-nearest neighbours algorithm and artificial neural networks).The methods were applied to two different data sets produced using the new MBS, which provides multichannel UV-LIF fluorescence signatures for single airborne biological particles. The first data set contained mixed PSLs and the second contained a variety of laboratory-generated aerosol.Clustering in general performs slightly worse than the supervised learning methods, correctly classifying, at best, only 67. 6 and 91. 1 % for the two data sets respectively. For supervised learning the gradient boosting algorithm was

  9. Benefits and limitations of fine needle aspiration cytology in the diagnosis and classification of leprosy in primary and secondary healthcare settings. (United States)

    Ray, R; Mondal, R K; Pathak, S


    The goal of the World Health Organization (WHO) is to eliminate leprosy as a public health problem. This will only be possible when all patients are detected and cured using multidrug therapy, which requires accurate diagnosis prior to treatment. The objective of this study was to evaluate the possibility of the diagnosis of leprosy lesions by fine needle aspiration cytology according to a modification of the Ridley-Jopling scale, as it can be used in primary and secondary healthcare centres, especially in low-resource settings in which leprosy is prevalent. A prospective study comprising 54 cases with cardinal features of leprosy was performed. Among the 54 cases, 27 patients consented to a histopathological biopsy procedure. The slides were stained with Giemsa, modified Ziehl-Neelsen, Papanicolaou and haematoxylin and eosin methods. Among the 54 cases, 34 were reported as tuberculoid leprosy, five as mid-borderline (BB), three as borderline lepromatous (BL) and eight as lepromatous leprosy (LL); four were unsatisfactory. Histopathological study was performed in 27 cases, which showed cyto-histological correlation in 21 cases (78%). Agreement between histological and cytological diagnosis was achieved in 12 of the 15 tuberculoid cases, one of the three BB cases, one of the two BL cases and all seven LL cases. With the implementation of the WHO classification based on patch counting, there is the possibility of the over-treatment of paucibacillary cases and under-treatment of multibacillary cases. Cytology in terms of cellular type morphology and bacteriological study can complement the WHO classification. © 2014 John Wiley & Sons Ltd.

  10. [Clinical-demographic factors associated with fear-avoidance in subjects with non-specific chronic low back pain in Primary Care: secondary analysis of intervention study]. (United States)

    Díaz-Cerrillo, Juan Luis; Rondón-Ramos, Antonio; Clavero-Cano, Susana; Pérez-González, Rita; Martinez-Calderon, Javier; Luque-Suarez, Alejandro


    To describe some sociodemographics and clinical characteristics of subjects with Non-specific Chronic Low Back Pain (NCLBP) in Primary Care, as well as to investigate their association with Fear-Avoidance (FA). Cross-sectional. Secondary analysis of an intervention study. Basic Health Areas in Costa del Sol Health District (Málaga, Spain). An analysis was performed on 147 subjects with NCLBP from a previous intervention study database in Primary Care Physiotherapy (PCP). Characteristics: age 18-65; understanding of the Spanish language; absence of cognitive disorders, fibromyalgia or dorsolumbar surgery, and to be able to perform physical exercise. The main variable was FA level (FABQ and the FABQ-PA and FABQ-W) sub-scales. Clinical variables included: pain (NRPS-11), disability (RMQ), evolution, previous treatments and diagnostic imaging. The sociodemographic variables included: gender, age, educational level, and employment status. Just over half (51.7%) of the subjects had high FA on the FABQ-PA sub-scale. Sick leave (SL) [β=24.45 (P=.009 * ); β=13.03 (P=.016 * ); β=14.04 (P=.011 * ) for FABQ, FABQ-PA and FABQ-W, respectively]; primary studies level [β=15.09 (P=.01 * ); β=9.73 (P=.01 * ) for FABQ and FABQ-PA], and disability [β=1.45 (P<.001); β=0.61 (P<.001); β=0.68 (P<.001) for FABQ, FABQ-PA and FABQ-W, respectively] were associated with FA when they were modeled by multivariate regression. Some sociodemographic and clinical features of the NCLBP population are presented. Imaging tests (81.63%) and previous passive treatments (55.78%) could reflect problems of adherence to recommendations of CPGs. Sick leave, primary studies level, and disability were associated with FA. The findings should be interpreted in the light of possible limitations. Some suggestions for clinical practice are provided. Copyright © 2017 Elsevier España, S.L.U. All rights reserved.

  11. Quality of life and satisfaction with treatment in subjects with type 2 diabetes: results from primary health care in Turkey (United States)

    Ozder, Aclan; Sekeroglu, Mesut; Eker, Hasan Huseyin


    The aim of this study was to assess the quality of life and degree of satisfaction with the treatment of patients with type 2 diabetes mellitus (T2DM) in primary health care in Turkey. A total of 180 adults with type 2 diabetes mellitus from the Family Medicine out-patient clinic were included in the study. Participants were asked to fill out a self-report survey to collect data via two well validated scales, including the Turkish version of the Audit of Diabetes Dependent Quality of Life (ADDQoL) instrument and the Diabetes Treatment Satisfaction Questionnaire (DTSQ). Overall average weighted impact score for the study group was -2.73 ± 2.56. Diabetes mellitus has the largest impact on enjoyment of food (mean ± SD impact rating: -1.63 ± 1.50). The mean score of the DTSQ was 21.02 ± 8.07 (range from better to worse: 36 to 0) for the entire group. Presence of diabetes-related complication was significantly related with lower treatment satisfaction scores (mean ± SD = 23.08 ± 7.32 without complications; mean ± SD = 18.48 ± 8.36 with complications, P = 0.003). Physicians working in primary care should be equipped with more recent knowledge of diabetes treatment in order to tailor more appropriate treatment strategies from current guidelines. PMID:25664097

  12. Transferrin receptor-2 (TFR2) mutation Y250X in Alabama Caucasian and African American subjects with and without primary iron overload. (United States)

    Barton, E H; West, P A; Rivers, C A; Barton, J C; Acton, R T


    Most cases of hemochromatosis are associated with mutations of the HFE gene on Ch6p. In southern Italy and central Alabama, the percentages of patients with hemochromatosis who have "atypical" HFE genotypes (defined as lack of C282Y homozygosity, C282Y/H63D compound heterozygosity, or H63D homozygosity) are relatively great. A mutation of the transferrin receptor-2 gene (TFR2; exon 6, nt 750 C --> G, replaces TAC with stop signal TAG; Y250X) on Ch7q22 was recently identified in two Sicilian families with HFE mutation-negative hemochromatosis. We wanted to estimate the frequency of this mutation in persons from central Alabama. We evaluated Caucasian hemochromatosis probands with atypical HFE genotypes and African Americans with primary iron overload. We also studied control Caucasians, including persons of southern Italian/Sicilian heritage, and control African Americans. Analysis of genomic DNA was performed using a PCR-sequence-specific priming assay and positive control specimens from Sicilian hemochromatosis subjects heterozygous and homozygous for Y250X. Among Alabama subjects, this allele was not detected in 113 Caucasians, including 21 hemochromatosis probands with atypical HFE genotypes and 92 normal control subjects (including 27 of southern Italian/Sicilian descent). In African Americans, Y250X was not detected in 20 index cases with primary iron overload or in 274 unrelated control subjects. We conclude that Y250X is uncommon in Caucasians with hemochromatosis associated with atypical HFE genotypes, in African Americans with primary iron overload, and in the general Caucasian and African American population subgroups in central Alabama. Copyright 2001 Academic Press.

  13. Subjective ultrasound assessment, the ADNEX model and ultrasound-guided tru-cut biopsy to differentiate disseminated primary ovarian cancer from metastatic non-ovarian cancer. (United States)

    Epstein, E; Van Calster, B; Timmerman, D; Nikman, S


    To compare subjective ultrasound assessment and the ADNEX model with ultrasound-guided tru-cut biopsy to differentiate disseminated primary ovarian cancer from metastatic non-ovarian cancer. This was a prospective study including 143 consecutive women with disseminated malignancy of unknown primary origin, with a pelvic tumor/carcinosis. Women underwent either transvaginal or transrectal ultrasound as well as transabdominal ultrasound examination followed by tru-cut biopsy. The ultrasound examiner assessed tumor morphology, spread in the pelvis and abdomen, and predicted tumor origin as primary ovarian or metastatic using both subjective assessment and the ADNEX model. Histology from tru-cut biopsy served as the gold standard for assessment of diagnostic accuracy. Biopsy adequacy and the complication rate were assessed. Tru-cut biopsy was performed transvaginally in 131/143 (92%) women. Two women needed inpatient care (one had abdominal wall hematoma, and one infection). Biopsy resulted in a conclusive diagnosis in 126/143 (88%) women, amongst whom cytoreductive surgery was performed in 30/126 confirming the diagnosis in all cases. Non-ovarian metastatic cancer was found in 37/126 (29%) women and primary ovarian cancer in 89/126 (71%) women. Subjective ultrasound evaluation had a sensitivity of 82% (73/89) and a specificity of 70% (26/37) in predicting primary ovarian cancer. The ADNEX model had an area under the receiver-operating characteristics curve of 0.891 (95% CI, 0.794-0.946) (in women with an ovarian lesion, n = 104). Tumor origin was associated with age, CA 125, previous neoplasia, presence of omental cake and tumor mobility. Subjective ultrasound assessment and the ADNEX model can both be used to predict whether a pelvic tumor is metastatic and of non-ovarian origin, indicating the need for tru-cut biopsy, which is associated with very few complications and will provide a conclusive diagnosis in nine out of 10 women. Copyright © 2015 ISUOG

  14. Risk factors for progression to blindness in high tension primary open angle glaucoma: Comparison of blind and nonblind subjects

    Directory of Open Access Journals (Sweden)

    Karanjit S Kooner


    Full Text Available Karanjit S Kooner1, Mohannad AlBdoor1, Byung J Cho3, Beverley Adams-Huet21Department of Ophthalmology, 2Department of Clinical Sciences, University of Texas Southwestern Medical Center, Dallas, Texas, USA; 3Konkuk University Hospital, Seoul, KoreaAims: To determine which risk factors for blindness were most critical in patients diagnosed with high tension primary open angle glaucoma (POAG in a large ethnically diverse population managed with a uniform treatment strategy.Methods: A longitudinal observational study was designed to follow 487 patients (974 eyes with POAG for an average of 5.5 ± 3.6 years. Detailed ocular and systemic information was collected on each patient and updated every six months. For this study, blindness was defined as visual acuity of 20/200 or worse and/or visual field less than 20° in either eye. Known risk factors were compared between patients with blindness in at least one eye versus nonblind patients.Results: The patients with blindness had on average: higher intraocular pressure (IOP, mmHg: (24.2 ± 11.2 vs. 22.1 ± 7.7, p = 0.03, wide variation of IOP in the follow-up period (5.9 vs. 4.1 mmHg, p = 0.031, late detection (p = 0.006, poor control of IOP (p < 0.0001, and noncompliance (p < 0.0003. Other known risk factors such as race, age, myopia, family history of glaucoma, history of ocular trauma, hypertension, diabetes, vascular disease, smoking, alcohol abuse, dysthyoidism, and steroid use were not significant.Conclusions: The most critical factors associated with the development of blindness among our patients were: elevated initial IOP, wide variations and poor control of IOP, late detection of glaucoma, and noncompliance with therapy.Keywords: primary open angle glaucoma, blindness, intraocular pressure, risk factors, and noncompliance

  15. The Mediating Roles of Primary and Secondary Control in the Relationship between Body Satisfaction and Subjective Well-Being Among Middle-Aged and Older Women. (United States)

    Watt, Ashli D; Konnert, Candace A; Speirs, Calandra E C


    This study examined primary and secondary control as mediators in the relationship between body satisfaction and subjective well-being (SWB) and explored age differences in the mediation model. Data from 362 women, aged 40-91 years, assessed (i) the relationships between body satisfaction, age, primary and secondary control strategies (body-specific social comparison, acceptance, and positive reappraisal), and three indices of SWB (positive affect, negative affect, and life satisfaction), (ii) the mediation effects of primary and secondary control on the relationship between body satisfaction and SWB, and (iii) whether mediational relationships were moderated by age. Body satisfaction was unrelated to age but positively related to positive affect and life satisfaction and negatively related to negative affect. Body satisfaction was also related to primary and secondary control strategies. There were significant indirect (mediated) effects of body satisfaction on all outcome variables through acceptance and positive reappraisal. These mediators were significant at all age levels, but exerted their strongest influence among younger women. This study provides new information about the mechanisms that influence the relationship between body satisfaction and SWB among a broad age range of women who are experiencing physical changes that are inconsistent with Western beauty standards.

  16. Efficacy and Safety of Doxepin 1 mg and 3 mg in a 12-week Sleep Laboratory and Outpatient Trial of Elderly Subjects with Chronic Primary Insomnia. (United States)

    Krystal, Andrew D; Durrence, H Heith; Scharf, Martin; Jochelson, Philip; Rogowski, Roberta; Ludington, Elizabeth; Roth, Thomas


    to evaluate the efficacy and safety of doxepin 1 mg and 3 mg in elderly subjects with chronic primary insomnia. the study was a randomized, double-blind, parallel-group, placebo-controlled trial. Subjects meeting DSM-IV-TR criteria for primary insomnia were randomized to 12 weeks of nightly treatment with doxepin (DXP) 1 mg (n = 77) or 3 mg (n = 82), or placebo (PBO; n = 81). Efficacy was assessed using polysomnography (PSG), patient reports, and clinician ratings. Objective efficacy data are reported for Nights (N) 1, 29, and 85; subjective efficacy data during Weeks 1, 4, and 12; and Clinical Global Impression (CGI) scale and Patient Global Impression (PGI) scale data after Weeks 2, 4, and 12 of treatment. Safety assessments were conducted throughout the study. DXP 3 mg led to significant improvement versus PBO on N1 in wake time after sleep onset (WASO; P treatment groups. There were no significant next-day residual effects; additionally, there were no reports of memory impairment, complex sleep behaviors, anticholinergic effects, weight gain, or increased appetite. DXP 1 mg and 3 mg administered nightly to elderly chronic insomnia patients for 12 weeks resulted in significant and sustained improvements in most endpoints. These improvements were not accompanied by evidence of next-day residual sedation or other significant adverse effects. DXP also demonstrated improvements in both patient- and physician-based ratings of global insomnia outcome. The efficacy of DXP at the doses used in this study is noteworthy with respect to sleep maintenance and early morning awakenings given that these are the primary sleep complaints of the elderly. This study, the longest placebo-controlled, double-blind, polysomnographic trial of nightly pharmacotherapy for insomnia in the elderly, provides the best evidence to date of the sustained efficacy and safety of an insomnia medication in older adults.

  17. Subjective versus objective: an exploratory analysis of latino primary care patients with self-perceived depression who do not fulfill primary care evaluation of mental disorders patient health questionnaire criteria for depression. (United States)

    Caplan, Susan; Alvidrez, Jennifer; Paris, Manuel; Escobar, Javier I; Dixon, Jane K; Desai, Mayur M; Whittemore, Robin; Scahill, Lawrence D


    Identification and treatment of depression may be difficult for primary care providers when there is a mismatch between the patient's subjective experiences of illness and objective criteria. Cultural differences in presentation of symptoms among Latino immigrants may hinder access to care for treatment of depression. This article seeks to describe the self-perceptions and symptoms of Latino primary care patients who identify themselves as depressed but do not meet screening criteria for depression. A convenience sample of Latino immigrants (N = 177) in Corona, Queens, New York, was obtained from a primary care practice from August 2008 to December 2008. The sample was divided into 3 groups according to whether participants met Patient Health Questionnaire diagnostic criteria for depression and whether or not participants had a self-perceived mental health problem and self-identified their problem as "depression" from a checklist of cultural idioms of distress. Psychosocial, demographic, and treatment variables were compared between the 3 groups. Participants' descriptions of symptoms had a predominantly somatic component. The most common complaints were ánimo bajo (low energy) and decaimiento (weakness). Participants with "subjective" depression had mean scores of somatic symptoms and depression severity that were significantly lower than the participants with "objective" depression and significantly higher than the group with no depression (P expressions of distress and the meaning of illness for the individual.

  18. Transcranial direct current stimulation over the medial prefrontal cortex and left primary motor cortex (mPFC-lPMC affects subjective beauty but not ugliness

    Directory of Open Access Journals (Sweden)

    Koyo eNakamura


    Full Text Available Neuroaesthetics has been searching for the neural bases of the subjective experience of beauty. It has been demonstrated that neural activities in the medial prefrontal cortex (mPFC and the left primary motor cortex (lPMC correlate with the subjective experience of beauty. Although beauty and ugliness seem to be semantically and conceptually opposite, it is still unknown whether these two evaluations represent extreme opposites in unitary or bivariate dimensions. In this study, we applied transcranial direct current stimulation (tDCS to examine whether noninvasive brain stimulation modulates two types of aesthetic evaluation; evaluating beauty and ugliness. Participants rated the subjective beauty and ugliness of abstract paintings before and after the application of tDCS. Application of cathodal tDCS over the mPFC with anode electrode over the lPMC, which induced temporal inhibition of neural excitability of the mPFC, led to a decrease in beauty ratings but not ugliness ratings. There were no changes in ratings of both beauty and ugliness when applying anodal tDCS or sham stimulation over the mPFC. Results from our experiment indicate that the mPFC and the lPMC have a causal role in generating the subjective experience of beauty, with beauty and ugliness evaluations constituting two distinct dimensions.

  19. Gabapentin enacarbil in subjects with moderate to severe primary restless legs syndrome with and without severe sleep disturbance: an integrated analysis of subjective and novel sleep endpoints from two studies

    Directory of Open Access Journals (Sweden)

    Bogan RK


    Full Text Available Richard K Bogan,1 Aaron Ellenbogen,2 Philip M Becker,3 Clete Kushida,4 Eric Ball,5 William G Ondo,6 Christine K Caivano,7 Sarah Kavanagh71SleepMed, Columbia, SC, 2Quest Research Institute, Farmington Hills, MI, 3Sleep Medicine Associates of Texas, Dallas, TX, 4Division of Sleep Medicine, Department of Psychiatry and Behavioral Sciences, Stanford Center for Human Sleep Research, Stanford, CA, 5Walla Walla Clinic, Walla Walla, WA, 6University of Texas Health Science Center, Houston, TX, 7Global Regulatory Affairs (CKC* and Neurosciences MDC (SK, GlaxoSmithKline, Research Triangle Park, NC, USA*Development Sciences department at the time of the analysisPurpose: The aim of the study reported here was assessment of subjective and novel sleep endpoints, according to sleep disturbance severity at baseline, in adult subjects with moderate to severe primary restless legs syndrome (RLS treated with gabapentin enacarbil (GEn 1200 mg or placebo.Methods: Integrated analysis of two 12-week randomized trials in subjects with RLS was undertaken. Sleep outcomes from the Medical Outcomes Study (MOS Sleep Scale and the Post Sleep Questionnaire were evaluated. Novel sleep endpoints derived from the 24-Hour RLS Symptom Diary were compared with similar endpoints derived from the Pittsburgh Sleep Diary (PghSD. Subjects were divided into two subgroups based on their level of sleep disturbance (responses to item 4 of the International Restless Legs Scale at baseline. Data were analyzed using a last observation carried forward approach.Results: The modified intent-to-treat population comprised 427 subjects (GEn 1200 mg, n = 223; placebo, n = 204. GEn significantly improved all MOS Sleep Scale domain scores from baseline compared with placebo (P < 0.05 in both subgroups. Compared with placebo, GEn-treated subjects with very severe to severe sleep disturbance reported higher overall sleep quality, fewer nighttime awakenings, and fewer hours awake per night due to RLS

  20. Security classification of information

    Energy Technology Data Exchange (ETDEWEB)

    Quist, A.S.


    This document is the second of a planned four-volume work that comprehensively discusses the security classification of information. The main focus of Volume 2 is on the principles for classification of information. Included herein are descriptions of the two major types of information that governments classify for national security reasons (subjective and objective information), guidance to use when determining whether information under consideration for classification is controlled by the government (a necessary requirement for classification to be effective), information disclosure risks and benefits (the benefits and costs of classification), standards to use when balancing information disclosure risks and benefits, guidance for assigning classification levels (Top Secret, Secret, or Confidential) to classified information, guidance for determining how long information should be classified (classification duration), classification of associations of information, classification of compilations of information, and principles for declassifying and downgrading information. Rules or principles of certain areas of our legal system (e.g., trade secret law) are sometimes mentioned to .provide added support to some of those classification principles.

  1. Risk factors associated with non-alcoholic fatty liver disease in subjects from primary care units. A case-control study

    Directory of Open Access Journals (Sweden)

    Bernad Jesús


    Full Text Available Abstract Background Non alcoholic fatty liver disease (NAFL consists in the accumulation of fat vacuoles in the cytoplasm of hepatocytes. Many etiologic factors are associated with NAFL, such as, the metabolic syndrome factors, medications, bariatric surgery, nutritional disorders. However, very little information is available on the clinical relevance of this disorder as a health problem in the general population. Methods and design The aim of the study is establish the risk factors most frequently associated with NAFL in a general adult population assigned to the primary care units and to investigate the relationship between each component of the metabolic syndrome and the risk of having a NAFL. A population based case-control, observational and multicenter study will be carried out in 18 primary care units from the "Area de Gestión del Barcelonés Nord y Maresme" (Barcelona attending a population of 360,000 inhabitants and will include 326 cases and 370 controls. Cases are defined as all subjects fulfilling the inclusion criteria and with evidence of fatty liver in an abdominal ultrasonography performed for any reason. One control will be randomly selected for each case from the population, matched for age, gender and primary care center. Controls with fatty liver or other liver diseases will be excluded. All cases and controls will be asked about previous hepatic diseases, consumption of alcohol, smoking and drugs, and a physical examination, biochemical analyses including liver function tests, the different components of the metabolic syndrome and the HAIR score will also be performed. Paired controls will also undergo an abdominal ultrasonography. Discussion This study will attempt to determine the factors most frequently associated with the presence of NAFL investigate the relationship between the metabolic syndrome and the risk of fatty liver and study the influence of the different primary care professionals in avoiding the evolution

  2. Objective and subjective image quality of primary and recurrent squamous cell carcinoma on head and neck low-tube-voltage 80-kVp computed tomography

    Energy Technology Data Exchange (ETDEWEB)

    Scholtz, Jan-Erik; Kaup, Moritz; Kraft, Johannes; Noeske, Eva-Maria; Schulz, Boris; Burck, Iris; Kerl, J.M.; Bauer, Ralf W.; Lehnert, Thomas; Vogl, Thomas J.; Wichmann, Julian L. [University Hospital Frankfurt, Department of Diagnostic and Interventional Radiology, Frankfurt (Germany); Scheerer, Friedrich [University Hospital Frankfurt, Department of Cranio-Maxillofacial and Plastic Facial Surgery, Frankfurt (Germany); Wagenblast, Jens [University Hospital Frankfurt, Department of Otolaryngology, Head and Neck Surgery, Frankfurt (Germany)


    To investigate low-tube-voltage 80-kVp computed tomography (CT) of head and neck primary and recurrent squamous cell carcinoma (SCC) regarding objective and subjective image quality. We retrospectively evaluated 65 patients (47 male, 18 female; mean age: 62.1 years) who underwent head and neck dual-energy CT (DECT) due to biopsy-proven primary (n = 50) or recurrent (n = 15) SCC. Eighty peak kilovoltage and standard blended 120-kVp images were compared. Attenuation and noise of malignancy and various soft tissue structures were measured. Tumor signal-to-noise ratio (SNR) and contrast-to-noise ratio (CNR) were calculated. Subjective image quality was rated by three reviewers using 5-point grading scales regarding overall image quality, lesion delineation, image sharpness, and image noise. Radiation dose was assessed as CT dose index volume (CTDI{sub vol}). Interobserver agreement was calculated using intraclass correlation coefficient (ICC). Mean tumor attenuation (153.8 Hounsfield unit (HU) vs. 97.1 HU), SNR (10.7 vs. 8.3), CNR (8.1 vs. 4.8), and subjective tumor delineation (score, 4.46 vs. 4.13) were significantly increased (all P < 0.001) with 80-kVp acquisition compared to standard blended 120-kVp images. Noise of all measured structures was increased in 80-kVp acquisition (P < 0.001). Overall interobserver agreement was good (ICC, 0.86; 95 % confidence intervals: 0.82-0.89). CTDI{sub vol} was reduced by 48.7 % with 80-kVp acquisition compared to standard DECT (4.85 ± 0.51 vs. 9.94 ± 0.81 mGy cm, P < 0.001). Head and neck CT with low-tube-voltage 80-kVp acquisition provides increased tumor delineation, SNR, and CNR for CT imaging of primary and recurrent SCC compared to standard 120-kVp acquisition with an accompanying significant reduction of radiation exposure. (orig.)

  3. Attitudes, subjective norms, and intention to perform routine oral examination for oropharyngeal candidiasis as perceived by primary health-care providers in Nairobi Province. (United States)

    Koyio, Lucina N; Kikwilu, Emil; Mulder, Jan; Frencken, Jo E


    To assess attitudes, subjective norms, and intentions of primary health-care (PHC) providers in performing routine oral examination for oropharyngeal candidiasis (OPC) during outpatient consultations. A 47-item Theory of Planned Behaviour-based questionnaire was developed and administered, in a cross-sectional survey, to 216 PHC providers (clinical officers and nurses) working in 54 clinics, dispensaries, and health centers in Nairobi Province in January 2010. The constructs - attitudes, subjective norms, and perceived behavioral control (dependent variables) - and their individual indirect (direct) items were analyzed for scores, internal validity, independent variables (district, gender, years of service, profession, and age), and contribution to intentions. Perceived behavioral control had low construct validity and was therefore removed from subsequent analyses. The questionnaire was completed by 195 participants (90 percent response rate). PHC provider's attitudes, subjective norms, and intentions to perform an oral examination during outpatient consultations were highly positive, with mean scores of 6.30 (0.82), 6.06 (1.07), and 5.6 (1.33), respectively, regardless of sociodemographic characteristics. Indirect attitude and subjective norms were strongly correlated to their individual items (r=0.63-0.79, Psubjective norms (P<0.0001) were both predictive of intentions. PHC providers were willing to integrate patients' oral health care into their routine medical consultations. Emphasizing the importance of detecting other oral problems and of the fact that routine oral examination for OPC is likely to give patients' fulfillment will enhance PHC providers' morale in performing routine oral examinations. Winning support from policy makers, their supervisors, specialists, and colleagues is important for motivating PHC providers to perform routine oral examinations for OPC at their workplaces. © 2012 American Association of Public Health Dentistry.

  4. Investigation of mean platelet volume in patients with type 2 diabetes mellitus and in subjects with impaired fasting glucose: a cost-effective tool in primary health care? (United States)

    Ozder, Aclan; Eker, Hasan Huseyin


    The aim of this study was to compare mean platelet volume (MPV) in patients with type 2 diabetes mellitus (T2DM), in subjects with impaired fasting glucose (IFG), and in non-diabetic controls. A total of 201 adults with T2DM and 201 subjects with IFG from the Family Medicine out-patient clinic as well as 201 healthy controls were included in the study. We measured blood fasting glucose, complete blood count and LDL-cholesterol and compared the results between the groups enrolled. In the patients with diabetes and subjects with IFG, MPV was significantly higher (10.66 ± 0.94 fL and 10.49 ± 0.96 fL, respectively ) as compared to the non-diabetic group (10.04 ± 1.01 fL) (p = 0.000). Among the diabetic subjects, a positive statistical Pearson correlation was seen between MPV and HbA1c levels (r = 0.357; p = 0.000) and fasting blood glucose (FBG) levels (r = 0.306; p = 0.000). The mean MPV in patients having HbA1C < 7.5% was 10.17 ± 0.83 fL and significantly lower than that of patients with HbA1c ≥ 7.5% (10.80 ± 0.92 fL) (p = 0.001). MPV could be used as a simple and cost-effective tool to monitor the progression and control of T2DM and thereby in preventing vascular events in primary health care. PMID:25232423

  5. Prevention of type 2 diabetes in a primary healthcare setting: Three-year results of lifestyle intervention in Japanese subjects with impaired glucose tolerance

    Directory of Open Access Journals (Sweden)

    Usui Takeshi


    Full Text Available Abstract Background A randomized control trial was performed to test whether a lifestyle intervention program, carried out in a primary healthcare setting using existing resources, can reduce the incidence of type 2 diabetes in Japanese with impaired glucose tolerance (IGT. The results of 3 years' intervention are summarized. Methods Through health checkups in communities and workplaces, 304 middle-aged IGT subjects with a mean body mass index (BMI of 24.5 kg/m2 were recruited and randomized to the intervention group or control group. The lifestyle intervention was carried out for 3 years by public health nurses using the curriculum and educational materials provided by the study group. Results After 1 year, the intervention had significantly improved body weight (-1.5 ± 0.7 vs. -0.7 ± 2.5 kg in the control; p = 0.023 and daily non-exercise leisure time energy expenditure (25 ± 113 vs. -3 ± 98 kcal; p = 0.045. Insulin sensitivity assessed by the Matsuda index was improved by the intervention during the 3 years. The 3-year cumulative incidence tended to be lower in the intervention group (14.8% vs.8.2%, log-rank test: p = 0.097. In a sub-analysis for the subjects with a BMI > 22.5 kg/m2, a significant reduction in the cumulative incidence was found (p = 0.027. Conclusions The present lifestyle intervention program using existing healthcare resources is beneficial in preventing diabetes in Japanese with IGT. This has important implications for primary healthcare-based diabetes prevention. Trial registration number UMIN000003136

  6. Sensitivity of primary phasic heart rate deceleration to stimulus repetition in an habituation procedure: influence of a subjective measure of activation/arousal on the evoked cardiac response. (United States)

    Binder, Marek; Barry, Robert J; Kaiser, Jan


    The post-stimulus primary bradycardia--sometimes labelled as the first evoked cardiac response, ECR1--is regarded as a response which is independent of the stimulus novelty factor. Despite this however, in our previous research we have observed a noticeable variation of this response, which made us suspect that there could be some additional factor influencing it. To test this, we designed a habituation procedure to measure susceptibility of the ECR1 to stimulus repetition. In our experimental design, we also included a measure of the level of activation (arousal) as a possible additional factor influencing the time-course of the cardiac response. The level of arousal over the study was measured by the Activation-Deactivation Adjective Check List (AD ACL). Our results show that mere stimulus repetition does not influence the time-course of ECR1. However, another pattern of results appeared when one of the dimensions of AD ACL, namely Tense Arousal, was taken into account. We observed different ECR time-courses during the initial stimulus presentations for subjects with high and low levels of Tense Arousal. These results are interpreted within the framework of Preliminary Process Theory in terms of the different attentional patterns in subjects with high and low levels of Tense Arousal.

  7. 2016 American College of Rheumatology/European League Against Rheumatism classification criteria for primary Sjögren's syndrome: A consensus and data-driven methodology involving three international patient cohorts. (United States)

    Shiboski, Caroline H; Shiboski, Stephen C; Seror, Raphaèle; Criswell, Lindsey A; Labetoulle, Marc; Lietman, Thomas M; Rasmussen, Astrid; Scofield, Hal; Vitali, Claudio; Bowman, Simon J; Mariette, Xavier


    To develop and validate an international set of classification criteria for primary Sjögren's syndrome (SS) using guidelines from the American College of Rheumatology (ACR) and the European League Against Rheumatism (EULAR). These criteria were developed for use in individuals with signs and/or symptoms suggestive of SS. We assigned preliminary importance weights to a consensus list of candidate criteria items, using multi-criteria decision analysis. We tested and adapted the resulting draft criteria using existing cohort data on primary SS cases and non-SS controls, with case/non-case status derived from expert clinical judgement. We then validated the performance of the classification criteria in a separate cohort of patients. The final classification criteria are based on the weighted sum of five items: anti-SSA/Ro antibody positivity and focal lymphocytic sialadenitis with a focus score of ≥1 foci/4 mm(2), each scoring 3; an abnormal Ocular Staining Score of ≥5 (or van Bijsterveld score of ≥4), a Schirmer's test result of ≤5 mm/5 min and an unstimulated salivary flow rate of ≤0.1 mL/min, each scoring 1. Individuals with signs and/or symptoms suggestive of SS who have a total score of ≥4 for the above items meet the criteria for primary SS. Sensitivity and specificity against clinician-expert-derived case/non-case status in the final validation cohort were high, that is, 96% (95% CI92% to 98%) and 95% (95% CI 92% to 97%), respectively. Using methodology consistent with other recent ACR/EULAR-approved classification criteria, we developed a single set of data-driven consensus classification criteria for primary SS, which performed well in validation analyses and are well suited as criteria for enrolment in clinical trials. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to

  8. Dynamic changes of anterior segment in patients with different stages of primary angle-closure in both eyes and normal subjects.

    Directory of Open Access Journals (Sweden)

    Jialiu Lin

    Full Text Available To compare changes in anterior segment parameters under light and dark (light-to-dark conditions among eyes with chronic primary angle-closure glaucoma (CPACG, fellow eyes with confirmed or suspect primary angle-closure (PAC or PACS, and age-matched healthy eyes.Consecutive patients with CPACG in one eye and PAC/PACS in the fellow eye, as well as age-matched healthy subjects were recruited. Anterior segment optical coherence tomography measurements were conducted under light and dark conditions, and anterior chamber, lens, and iris parameters compared. Demographic and biometric factors associated with light-to-dark change in iris area were analyzed by linear regression.Fifty-seven patients (mean age 59.6±8.9 years and 30 normal subjects matched for age (60.6±9.3 years and sex ratio were recruited. In regards to differences under light-to-dark conditions, angle opening distance at 500 μm (AOD500μm and iris area during light-to-dark transition were smaller in CPACG eyes than fellow PACS/PAC eyes and normal eyes (P<0.017. Pupil diameter change was largest in normal eyes, and larger in PACS/PAC eyes than CPACG eyes (P<0.017. There was an average reduction of 0.145 mm2 in iris area for each millimeter of pupil diameter increase in CPACG eyes, 0.161 mm2 in fellow PAC/PACS eyes, and 0.165 mm2 in normal eyes. Larger iris curvature in the dark and diagnosis of PACG were significantly associated with less light-to-dark iris area changes.Dynamic changes in iris parameters with light-to-dark transition differed significantly among CPACG eyes, fellow PAC/PACS eyes, and normal eyes. Greater iris curvature under dark conditions was correlated with reduced light-to-dark change in iris area and pupil diameter, which may contribute to disease progression.

  9. The effects of lifestyle modification on a new oxidized low-density lipoprotein marker, serum amyloid A-LDL, in subjects with primary lipid disorder. (United States)

    Kotani, Kazuhiko; Koibuchi, Harumi; Yamada, Toshiyuki; Taniguchi, Nobuyuki


    Lifestyle modification improves the pathophysiology of lipid disorder, leading to the development of cardiovascular disease (CVD). While oxidized low-density lipoprotein (oxLDL) may be involved in this mechanism, various oxLDL measurements have recently been developed and therefore further detailed studies are called for in this area. Our aim was to investigate the effects of lifestyle modification on serum amyloid A-LDL (SAA-LDL), a new oxLDL, in subjects with primary lipid disorder. A total of 141 asymptomatic subjects (women/men=100/41, mean age 57.6 years) with>or=1 lipid abnormality (circulating high levels of low-density lipoprotein cholesterol [LDL-C] and triglyceride [TG] or low levels of high-density lipoprotein cholesterol [HDL-C]), who completed a 6-month lifestyle modification program in combination with diet and exercise, were analyzed. In the pre- and post-intervention, the metabolic variables including SAA-LDL were assessed. During our intervention, the body mass index, blood pressure, LDL-C, TG, glucose and SAA-LDL significantly decreased, while HDL-C significantly increased. Multiple regression analysis revealed that the change levels of TG (positive) and HDL-C (inverse) were significantly and independently correlated to those of SAA-LDL. These results suggest that SAA-LDL may contribute to the link between lipid disorder and the development of CVD, and that the application of SAA-LDL measurements may be useful for the assessment of the risk of CVD as a biochemical marker.

  10. The Role of Single-Subject Brain Metabolic Patterns in the Early Differential Diagnosis of Primary Progressive Aphasias and in Prediction of Progression to Dementia. (United States)

    Cerami, Chiara; Dodich, Alessandra; Greco, Lucia; Iannaccone, Sandro; Magnani, Giuseppe; Marcone, Alessandra; Pelagallo, Elisabetta; Santangelo, Roberto; Cappa, Stefano F; Perani, Daniela


    Primary progressive aphasia (PPA) is a clinical syndrome due to different neurodegenerative conditions in which an accurate early diagnosis needs to be supported by a reliable diagnostic tool at the individual level. In this study, we investigated in PPA the FDG-PET brain metabolic patterns at the single-subject level, in order to assess the case-to-case variability and its relationship with clinical-neuropsychological findings. 55 patients (i.e., 11 semantic variant/sv-PPA, 19 non fluent variant/nfv-PPA, 17 logopenic variant/lv-PPA, 3 slowly progressive anarthria/SPA, and 5 mixed PPA/m-PPA) were included. Clinical-neuropsychological information and FDG-PET data were acquired at baseline. A follow-up of 27.4±12.55 months evaluated the clinical progression. Brain metabolism was analyzed using an optimized and validated voxel-based SPM method at the single-subject level. FDG-PET voxel-wise metabolic assessment revealed specific metabolic signatures characterizing each PPA variant at the individual level, reflecting the underlying neurodegeneration in language networks. Notably, additional dysfunctional patterns predicted clinical progression to specific dementia conditions. In the case of nfv-PPA, a metabolic pattern characterized by involvement of parietal, subcortical and brainstem structures predicted progression to a corticobasal degeneration syndrome or to progressive supranuclear palsy. lv-PPA and sv-PPA cases who progressed to Alzheimer's disease and frontotemporal dementia at the follow-up presented with extended bilateral patterns at baseline. Our results indicate that FDG-PET voxel-wise imaging is a valid biomarker for the early differential diagnosis of PPAs and for the prediction of progression to specific dementia condition. This study supports the use of FDG-PET imaging quantitative assessment in clinical settings for a better characterization of PPA individuals and prognostic definition of possible endo-phenotypes.

  11. Ultra-fast speech comprehension in blind subjects engages primary visual cortex, fusiform gyrus, and pulvinar – a functional magnetic resonance imaging (fMRI) study (United States)


    Background Individuals suffering from vision loss of a peripheral origin may learn to understand spoken language at a rate of up to about 22 syllables (syl) per second - exceeding by far the maximum performance level of normal-sighted listeners (ca. 8 syl/s). To further elucidate the brain mechanisms underlying this extraordinary skill, functional magnetic resonance imaging (fMRI) was performed in blind subjects of varying ultra-fast speech comprehension capabilities and sighted individuals while listening to sentence utterances of a moderately fast (8 syl/s) or ultra-fast (16 syl/s) syllabic rate. Results Besides left inferior frontal gyrus (IFG), bilateral posterior superior temporal sulcus (pSTS) and left supplementary motor area (SMA), blind people highly proficient in ultra-fast speech perception showed significant hemodynamic activation of right-hemispheric primary visual cortex (V1), contralateral fusiform gyrus (FG), and bilateral pulvinar (Pv). Conclusions Presumably, FG supports the left-hemispheric perisylvian “language network”, i.e., IFG and superior temporal lobe, during the (segmental) sequencing of verbal utterances whereas the collaboration of bilateral pulvinar, right auditory cortex, and ipsilateral V1 implements a signal-driven timing mechanism related to syllabic (suprasegmental) modulation of the speech signal. These data structures, conveyed via left SMA to the perisylvian “language zones”, might facilitate – under time-critical conditions – the consolidation of linguistic information at the level of verbal working memory. PMID:23879896

  12. The new histologic classification of lung primary adenocarcinoma subtypes is a reliable prognostic marker and identifies tumors with different mutation status: the experience of a French cohort. (United States)

    Mansuet-Lupo, Audrey; Bobbio, Antonio; Blons, Hélène; Becht, Etienne; Ouakrim, Hanane; Didelot, Audrey; Charpentier, Marie-Christine; Bain, Serge; Marmey, Béatrice; Bonjour, Patricia; Biton, Jérôme; Cremer, Isabelle; Dieu-Nosjean, Marie-Caroline; Sautès-Fridman, Catherine; Régnard, Jean-François; Laurent-Puig, Pierre; Alifano, Marco; Damotte, Diane


    Histologic classification of lung adenocarcinoma subtype has a prognostic value in most studies. However, lung adenocarcinoma characteristics differ across countries. Here, we aimed at validating the prognostic value of this classification in a large French series of lung adenocarcinoma. We reviewed 407 consecutive lung adenocarcinomas operated on between 2001 and 2005 and reclassified them according to the International Association for the Study of Lung Cancer (IASLC)/American Thoracic Society (ATS)/European Respiratory Society (ERS) classification and subsequently graded them into low, intermediate, and high grade. We analyzed the relevance of this classification according to clinical, pathologic, and molecular analysis. Patients (median age, 61 years; 288 men) underwent lobectomy (n = 378) or pneumonectomy (n = 29). Patients' overall survival at 5 and 10 years was 53.2% and 32.6%, respectively. Union for International Cancer Control stage distribution was 189 stage I, 104 stage II, 107 stage III, and seven stage IV. Low-grade tumor was found in one patient, intermediate grade in 275 patients, and high grade in 131 patients. KRAS and EGFR mutations were detected in 34% and 9.6%, respectively. Histologic grade was significantly correlated with extent of resection (P = .01), thyroid transcriptional factor-1 expression (P = .00000001), vascular emboli (P = .03), and EGFR mutations (P = .01). Mucinous adenocarcinomas were associated with KRAS mutations (P = .003). At univariate analysis, age, extent of resection, histologic grade, pleural invasion, vascular emboli, pathologic T and N, and stage were predictive of survival. At multivariate analysis, age (P = .0001), histologic grade (P = .03), and stage (P = .000003) were independent prognostic factors. IASLC/ATS/ERS classification of lung adenocarcinomas predicts survival in French population. Histologic grade correlates with clinical, pathologic and molecular parameters suggesting different oncogenic pathways.

  13. Subsidiary classification of goods under Ethiopian Property Law: a ...

    African Journals Online (AJOL)

    incorporeals1. Corporeal goods, in turn, are divided into movables and immovables2. The classification of corporeal goods into movables and immovables in the Code can appropriately be termed as the primary classification of goods. Numerous other classifications complement such primary classification of corporeal ...

  14. The term diplegia should be enhanced. Part I: a new rehabilitation oriented classification of cerebral palsy. (United States)

    Ferrari, A; Alboresi, S; Muzzini, S; Pascale, R; Perazza, S; Cioni, G


    The classification systems for cerebral palsy (CP) need to be continuously updated, according to specific aims and to significant changes observed over the years in the panorama of CP. A simplification of CP categories, abandoning the use of the term diplegia, has been recently suggested. Conversely, in this paper a new proposal for classification of CP is briefly presented, where special attention is given to diplegia which is suggested to be divided into four main clinical forms, according to the patterns of walking observable in these subjects. The proposed classification was applied to a large population of 213 subjects with diplegia, among 467 cases of CP admitted to two reference centres for this disorder. The relative incidence of the four forms is reported. The adopted classification criteria, based on a primary ability of professionals working in rehabilitation, i.e. observation capacity, makes this approach simple and easy to use at all levels of the rehabilitation services for CP.

  15. Circulation pattern classification for climate change studies (United States)

    Stehlik, J.; Bardossy, A.


    Several circulation pattern classifications developed for different European regions were compared regarding their mutual dependence. Circulation pattern (CP) classifications, both subjective and objective, for the British Isles, Germany and Greece were taken into account. Statistical tests were applied in order to investigate the relationships between each pair of CP classifications. It was found that each pair of classifications can not be considered to be independent. Time dependence of the relationship between CP classifications shows anomaleous behavior only when one of the classifications is subjective. This can be due to a gradual change in the methodology. Thus, one should use these classifications for climate evolution studies with care. Results showing the inter-dependence of different CP classifications were motivation for developing one classification which would be valid in every European region. For this purpose an objective and automated classification was applied. By means of daily 700 hPa data, 13 CPs were defined which explain the variability of local precipitation in 27 stations spread over the whole of Europe. The validation of this classification proved that there is almost no information lost when comparing this classification with local classifications. Based on this classification method the air pressure outputs from Global Circulation Models will be classified. Subsequently the classified circulation patterns will be used for climate change studies. For this purpose statistical downscaling of precipitation will be applied.

  16. ISSVA classification. (United States)

    Dasgupta, Roshni; Fishman, Steven J


    Mulliken and Glowacki, in 1982 created a classification system of vascular anomalies which divided vascular anomalies into tumors and malformations which provided the framework for great advances in the management of these patients. This classification system was recently expanded at the 2014 ISSVA workshop in Melbourne. This revision again provides much greater detail including newly named anomalies and identified genes to account for recent advances in knowledge and clinical associations. Copyright © 2014. Published by Elsevier Inc.

  17. Cellular image classification

    CERN Document Server

    Xu, Xiang; Lin, Feng


    This book introduces new techniques for cellular image feature extraction, pattern recognition and classification. The authors use the antinuclear antibodies (ANAs) in patient serum as the subjects and the Indirect Immunofluorescence (IIF) technique as the imaging protocol to illustrate the applications of the described methods. Throughout the book, the authors provide evaluations for the proposed methods on two publicly available human epithelial (HEp-2) cell datasets: ICPR2012 dataset from the ICPR'12 HEp-2 cell classification contest and ICIP2013 training dataset from the ICIP'13 Competition on cells classification by fluorescent image analysis. First, the reading of imaging results is significantly influenced by one’s qualification and reading systems, causing high intra- and inter-laboratory variance. The authors present a low-order LP21 fiber mode for optical single cell manipulation and imaging staining patterns of HEp-2 cells. A focused four-lobed mode distribution is stable and effective in optical...

  18. Percutaneous ventricular restoration (PVR) therapy using the Parachute device in 100 subjects with ischaemic dilated heart failure: one-year primary endpoint results of PARACHUTE III, a European trial. (United States)

    Thomas, Martyn; Nienaber, Christoph A; Ince, Hüseyin; Erglis, Andrejs; Vukcevic, Vladan; Schäfer, Ulrich; Ferreira, Rui Cruz; Hardt, Stefan; Verheye, Stefan; Gama Ribeiro, Vasco; Sugeng, Lissa; Tamburino, Corrado


    This prospective, non-randomised, observational study conducted in Europe was designed in order to assess the long-term safety and efficacy of the Parachute device in ischaemic heart failure subjects as a result of left ventricle remodelling after anterior wall myocardial infarction. One hundred subjects with New York Heart Association Class II-IV ischaemic heart failure (HF), ejection fraction (EF) between 15% and 40%, and dilated akinetic or dyskinetic anterior-apical wall without the need to be revascularised were enrolled. The primary safety endpoint was procedural- or device-related major adverse cardiac cerebral events (MACCE). The secondary safety endpoint was the composite of mortality and morbidity. Secondary efficacy endpoints included haemodynamic measurements determined by echocardiography, LV volume indices, and assessment of functional improvement measured by a standardised six-minute walk test. Of the 100 subjects enrolled, device implantation was successful in 97 (97%) subjects. The one-year rates of the primary and secondary safety endpoints were 7% and 32.3%, respectively. The secondary endpoints, LV volume reduction (p<0.0001) and six-minute walk distance improvement (p<0.01), were achieved. The favourable outcomes observed in this high-risk population provide reassuring safety and efficacy data to support adoption of this technology as a therapeutic option for HF subjects.

  19. Reliability of Oronasal Fistula Classification. (United States)

    Sitzman, Thomas J; Allori, Alexander C; Matic, Damir B; Beals, Stephen P; Fisher, David M; Samson, Thomas D; Marcus, Jeffrey R; Tse, Raymond W


    Objective Oronasal fistula is an important complication of cleft palate repair that is frequently used to evaluate surgical quality, yet reliability of fistula classification has never been examined. The objective of this study was to determine the reliability of oronasal fistula classification both within individual surgeons and between multiple surgeons. Design Using intraoral photographs of children with repaired cleft palate, surgeons rated the location of palatal fistulae using the Pittsburgh Fistula Classification System. Intrarater and interrater reliability scores were calculated for each region of the palate. Participants Eight cleft surgeons rated photographs obtained from 29 children. Results Within individual surgeons reliability for each region of the Pittsburgh classification ranged from moderate to almost perfect (κ = .60-.96). By contrast, reliability between surgeons was lower, ranging from fair to substantial (κ = .23-.70). Between-surgeon reliability was lowest for the junction of the soft and hard palates (κ = .23). Within-surgeon and between-surgeon reliability were almost perfect for the more general classification of fistula in the secondary palate (κ = .95 and κ = .83, respectively). Conclusions This is the first reliability study of fistula classification. We show that the Pittsburgh Fistula Classification System is reliable when used by an individual surgeon, but less reliable when used among multiple surgeons. Comparisons of fistula occurrence among surgeons may be subject to less bias if they use the more general classification of "presence or absence of fistula of the secondary palate" rather than the Pittsburgh Fistula Classification System.

  20. Student-Teachers' Verbal Communication Patterns during Their Teaching Practice in "Studies for the Environment" Subject in Early Greek Primary Classes (United States)

    Malandrakis, George; Karagianni, Aggeliki; Pani, Dimitra


    This study explores the quality of student-teachers' (STs') verbal communication during their teaching practice on the "Studies for the Environment" subject, and identifies potential factors affecting it. Forty-one teaching sessions were analysed revealing that STs dominate classroom talking by having almost an equal number of utterances…

  1. Tissue Classification

    DEFF Research Database (Denmark)

    Van Leemput, Koen; Puonti, Oula


    Computational methods for automatically segmenting magnetic resonance images of the brain have seen tremendous advances in recent years. So-called tissue classification techniques, aimed at extracting the three main brain tissue classes (white matter, gray matter, and cerebrospinal fluid), are now...... well established. In their simplest form, these methods classify voxels independently based on their intensity alone, although much more sophisticated models are typically used in practice. This article aims to give an overview of often-used computational techniques for brain tissue classification...

  2. Rheumatoid factor testing in Spanish primary care: A population-based cohort study including 4.8 million subjects and almost half a million measurements. (United States)

    Morsley, Klara; Miller, Anne; Luqmani, Raashid; Fina-Aviles, Francesc; Javaid, Muhammad Kassim; Edwards, Christopher J; Pinedo-Villanueva, Rafael; Medina, Manuel; Calero, Sebastian; Cooper, Cyrus; Arden, Nigel; Prieto-Alhambra, Daniel


    Rheumatoid factor (RF) testing is used in primary care in the diagnosis of rheumatoid arthritis (RA); however a positive RF may occur without RA. Incorrect use of RF testing may lead to increased costs and delayed diagnoses. The aim was to assess the performance of RF as a test for RA and to estimate the costs associated with its use in a primary care setting. A retrospective cohort study using the Information System for the Development of Research in Primary Care database (contains primary care records and laboratory results of >80% of the Catalonian population, Spain). Participants were patients ≥18 years with ≥1 RF test performed between 01/01/2006 and 31/12/2011, without a pre-existing diagnosis of RA. Outcome measures were an incident diagnosis of RA within 1 year of testing, and the cost of testing per case of RA. 495,434/4,796,498 (10.3%) patients were tested at least once. 107,362 (21.7%) of those tested were sero-positive of which 2768 (2.6%) were diagnosed with RA within 1 year as were 1141/388,072 (0.3%) sero-negative participants. The sensitivity of RF was 70.8% (95% CI 69.4-72.2), specificity 78.7% (78.6-78.8), and positive and negative predictive values 2.6% (2.5-2.7) and 99.7% (99.6-99.7) respectively. Approximately €3,963,472 was spent, with a cost of €1432 per true positive case. Although 10% of patients were tested for RF, most did not have RA. Limiting testing to patients with a higher pre-test probability would significantly reduce the cost of testing. Copyright © 2017 Elsevier España, S.L.U. and Sociedad Española de Reumatología y Colegio Mexicano de Reumatología. All rights reserved.

  3. Comparison of risk classification between EndoPredict and MammaPrint in ER-positive/HER2-negative primary invasive breast cancer (United States)

    Peláez-García, Alberto; Yébenes, Laura; Berjón, Alberto; Angulo, Antonia; Zamora, Pilar; Sánchez-Méndez, José Ignacio; Espinosa, Enrique; Redondo, Andrés; Heredia-Soto, Victoria; Mendiola, Marta; Feliú, Jaime


    Purpose To compare the concordance in risk classification between the EndoPredict and the MammaPrint scores obtained for the same cancer samples on 40 estrogen-receptor positive/HER2-negative breast carcinomas. Methods Formalin-fixed, paraffin-embedded invasive breast carcinoma tissues that were previously analyzed with MammaPrint as part of routine care of the patients, and were classified as high-risk (20 patients) and low-risk (20 patients), were selected to be analyzed by the EndoPredict assay, a second generation gene expression test that combines expression of 8 genes (EP score) with two clinicopathological variables (tumor size and nodal status, EPclin score). Results The EP score classified 15 patients as low-risk and 25 patients as high-risk. EPclin re-classified 5 of the 25 EP high-risk patients into low-risk, resulting in a total of 20 high-risk and 20 low-risk tumors. EP score and MammaPrint score were significantly correlated (p = 0.008). Twelve of 20 samples classified as low-risk by MammaPrint were also low-risk by EP score (60%). 17 of 20 MammaPrint high-risk tumors were also high-risk by EP score. The overall concordance between EP score and MammaPrint was 72.5% (κ = 0.45, (95% CI, 0.182 to 0.718)). EPclin score also correlated with MammaPrint results (p = 0.004). Discrepancies between both tests occurred in 10 cases: 5 MammaPrint low-risk patients were classified as EPclin high-risk and 5 high-risk MammaPrint were classified as low-risk by EPclin and overall concordance of 75% (κ = 0.5, (95% CI, 0.232 to 0.768)). Conclusions This pilot study demonstrates a limited concordance between MammaPrint and EndoPredict. Differences in results could be explained by the inclusion of different gene sets in each platform, the use of different methodology, and the inclusion of clinicopathological parameters, such as tumor size and nodal status, in the EndoPredict test. PMID:28886093

  4. The elimination rates of intact GIP as well as its primary metabolite, GIP 3-42, are similar in type 2 diabetic patients and healthy subjects

    DEFF Research Database (Denmark)

    Vilsbøll, Tina; Agersø, Henrik; Lauritsen, Torsten


    The incretin hormone, glucose-dependent insulinotropic polypeptide (GIP, previously known as gastric inhibitory polypeptide), is rapidly degraded to the biologically inactive metabolite GIP (3-42) in the circulation, but little is known about the kinetics of the intact hormone and the metabolite....../l and 8 healthy subjects matched for age, gender and BMI. An intravenous bolus injection of GIP (7.5 nmol) was given and venous blood samples were drawn the following 45 minutes. Peak concentrations of total GIP (intact+metabolite, mean+/-SEM) and intact GIP (in brackets) were 920+/-91 (442+/-52) pmol....../l in the type 2 diabetic patients and 775+/-68 (424+/-30) pmol/l in the healthy subjects (NS). GIP was eliminated rapidly with the clearance rate for intact GIP being 2.3+/-0.2 l/min in the type 2 diabetic patients and 2.4+/-0.2 l/min in the healthy subjects (NS). The volumes of distributions were similar...

  5. Xenolog classification. (United States)

    Darby, Charlotte A; Stolzer, Maureen; Ropp, Patrick J; Barker, Daniel; Durand, Dannie


    Orthology analysis is a fundamental tool in comparative genomics. Sophisticated methods have been developed to distinguish between orthologs and paralogs and to classify paralogs into subtypes depending on the duplication mechanism and timing, relative to speciation. However, no comparable framework exists for xenologs: gene pairs whose history, since their divergence, includes a horizontal transfer. Further, the diversity of gene pairs that meet this broad definition calls for classification of xenologs with similar properties into subtypes. We present a xenolog classification that uses phylogenetic reconciliation to assign each pair of genes to a class based on the event responsible for their divergence and the historical association between genes and species. Our classes distinguish between genes related through transfer alone and genes related through duplication and transfer. Further, they separate closely-related genes in distantly-related species from distantly-related genes in closely-related species. We present formal rules that assign gene pairs to specific xenolog classes, given a reconciled gene tree with an arbitrary number of duplications and transfers. These xenology classification rules have been implemented in software and tested on a collection of ∼13 000 prokaryotic gene families. In addition, we present a case study demonstrating the connection between xenolog classification and gene function prediction. The xenolog classification rules have been implemented in N otung 2.9, a freely available phylogenetic reconciliation software package. . Gene trees are available at . Supplementary data are available at Bioinformatics online.

  6. The diabetic phenotype is conserved in myotubes established from diabetic subjects: evidence for primary defects in glucose transport and glycogen synthase activity

    DEFF Research Database (Denmark)

    Gaster, Michael; Petersen, Ingrid; Højlund, Kurt


    The most well-described defect in the pathophysiology of type 2 diabetes is reduced insulin-mediated glycogen synthesis in skeletal muscles. It is unclear whether this defect is primary or acquired secondary to dyslipidemia, hyperinsulinemia, or hyperglycemia. We determined the glycogen synthase...... supraphysiological insulin concentrations induced insulin resistance in GS and glucose transport activity. Our data suggest that insulin resistance in patients with type 2 diabetes comprises at least two important defects under physiological insulin concentrations: a reduced glucose transport under basal conditions...

  7. Activation of lateral geniculate nucleus and primary visual cortex as detected by functional magnetic resonance imaging in normal subjects and in patients with visual disturbance

    Energy Technology Data Exchange (ETDEWEB)

    Miki, Atsushi [Niigata Univ. (Japan). Graduate School of Medical and Dental Sciences


    Functional magnetic resonance imaging (fMRI) during visual stimulation can detect regional cerebral blood flow changes that reflect neural activity in the lateral geniculate nucleus and primary visual cortex, which are major relay points in the human afferent visual system. FMRI has been used in the clinical evaluation of visual disorders such as homonymous hemianopia and unilateral eye diseases (optic neuritis, amblyopia, and so on). Future development in the data acquisition and data analysis may facilitate the use of fMRI for the management of patients with visual deficits and understanding of the visual disorders. (author)

  8. Transporter Classification Database (TCDB) (United States)

    U.S. Department of Health & Human Services — The Transporter Classification Database details a comprehensive classification system for membrane transport proteins known as the Transporter Classification (TC)...

  9. Primary fibromyalgia

    DEFF Research Database (Denmark)

    Jacobsen, Søren; Jensen, L T; Foldager, Marie Viftrup


    Serum concentrations of procollagen type III aminoterminal peptide have previously been reported to be low in some patients with primary fibromyalgia and the aim of this study was to determine if such patients differ clinically from primary fibromyalgia patients with normal levels of procollagen...... type III aminoterminal peptide. Subjective symptoms, tender points and dynamic muscle strength in 45 women with primary fibromyalgia were related to serum concentrations of procollagen type III aminoterminal peptide. Patients with low serum concentrations of procollagen type III aminoterminal peptide...... concentrations of procollagen type III aminoterminal peptide of primary fibromyalgia patients are connected to the disease impact....

  10. Dose response of Gabapentin Enacarbil versus placebo in subjects with moderate-to-severe primary restless legs syndrome: an integrated analysis of three 12-week studies. (United States)

    VanMeter, Susan A; Kavanagh, Sarah T; Warren, Samantha; Barrett, Ronald W


    The efficacy and tolerability of gabapentin enacarbil (Horizant®; GlaxoSmithKline, Brentford, UK) has been demonstrated in several restless legs syndrome (RLS) phase II and phase III clinical studies at various doses from 600 mg to 2400 mg. The objective of this study was to evaluate key efficacy and safety outcomes in subjects with RLS treated with once-daily gabapentin enacarbil 600 mg, 1200 mg, 1800 mg and 2400 mg, providing supportive evidence of the efficacy of gabapentin enacarbil 600 mg compared with higher doses and placebo. Integrated post hoc analysis of three 12-week, randomized, double-blind, placebo-controlled trials in subjects with RLS. The three studies were carried out at multiple centres in the US. In total, 760 subjects were included in the pooled analysis (placebo, n = 245; gabapentin enacarbil 600 mg, n = 163; gabapentin enacarbil 1200 mg, n = 269; gabapentin enacarbil 1800 mg, n = 38; gabapentin enacarbil 2400 mg, n = 45). In all studies, gabapentin enacarbil or placebo was administered once daily at approximately 5 p.m. with food. Gabapentin enacarbil was initiated at a dose of 600 mg with subsequent titration in 600 mg increments every 3 days up to the randomized dose. The efficacy endpoints analysed for the purpose of this integrated analysis were change from baseline in International Restless Legs Scale (IRLS) total score and the proportion of responders (subjects rated as 'much' or 'very much' improved) on the investigator-rated Clinical Global Impression-Improvement (CGI-I) scale. Safety endpoints assessed were the incidence of treatment-emergent adverse events (AEs) and serious AEs. Gabapentin enacarbil 600 mg significantly improved IRLS total score compared with placebo (adjusted mean [standard error] change in IRLS total score from baseline to week 12 last observation carried forward: -13.6 [0.71] vs -9.3 [0.55]; adjusted mean treatment difference: -4.3; 95% CI -6.01, -2.52; p < 0

  11. Digital media promoting new approaches to subject specific didactics in visual arts education in primary school, high school, teacher education and university education

    DEFF Research Database (Denmark)

    Buhl, Mie; Örtegren, Hans; Haïkö, Tarja

    The symposium discusses eventual paradigmatic shift within Art Education at different levels when new tools for creation are applied in educational settings. The symposium addresses current developments in visual arts education based on empirical projects from different levels of the educational...... system. The purpose is to discuss to which extend digital media can be seen as an integrated part of existing theory mainly based on developments from analog media or rather give rise to think subject specific didactics differently. Recent developments like visual culture, contemporary arts, social...... aesthetics, community art and co-creation all represent an approach to art production and appreciation where content, media and visual expressions unfold in societal, digital, collaborative, and transgressive constellations involving the art maker and audiences in social and relational projects processes...

  12. Railroad Classification Yard Technology Manual: Volume II : Yard Computer Systems (United States)


    This volume (Volume II) of the Railroad Classification Yard Technology Manual documents the railroad classification yard computer systems methodology. The subjects covered are: functional description of process control and inventory computer systems,...

  13. "My favourite subject is maths. For some reason no-one really agrees with me": student perspectives of mathematics teaching and learning in the upper primary classroom (United States)

    Attard, Catherine


    The levels of engagement in mathematics experienced by students during the middle years of schooling (Years 5 to 8 in New South Wales) has been of concern in Australia for some years. Lowered engagement in school has been attributed to factors such as inappropriate teaching strategies, curricula that is unchallenging and irrelevant, and cultural and technological conditions that continue to evolve (Sullivan et al. Australian Journal of Education 53(2):176-191, 2009). There is currently a gap in this field of research in terms of a lack of longitudinal studies conducted in an Australian context that feature students' voices and their perceptions of mathematics teaching and learning during the middle years. As part of a qualitative longitudinal case study spanning 3 school years, 20 students in their final year of primary school (aged between 11 and 12 years) were asked to provide their views on mathematics teaching and learning. The aim of the study was to explore the students' perspectives of mathematics teaching and learning to discover pedagogies that engage the students. During focus group discussions and individual interviews the students discussed qualities of a "good" mathematics teacher and aspects of "good" lessons. These were found to resonate well with current Australian quality teaching frameworks. The findings of this study indicate that students in the middle years are critically aware of pedagogies that lead to engagement in mathematics, and existing standards and frameworks should be used as a starting point for quality teaching of mathematics.

  14. Effect of individualized distal femoral valgus resection angle in primary total knee arthroplasty: A systematic review and meta-analysis involving 1300 subjects. (United States)

    Zhou, Kai; Ling, Tingxian; Xu, Yuan; Li, Jinglong; Yu, Haoda; Wang, Haoyang; Zhou, Zongke; Pei, Fuxing


    Proper limb alignment and implant positioning are important for successful total knee arthroplasty (TKA). Whether any differences exist in restoration of limb alignment for valgus knees between fixed and individual femoral valgus correction angle (VCA) for distal femoral resection remains unknown. The PubMed, Medline, Embase, and Wangfang databases were searched to identify studies comparing individualized VCA and fixed VCA in the distal femoral valgus resection. The primary outcomes were the mechanical femorotibial angle (MFT angle) and the proportion of postoperative alignment deviation within ±3°. The secondary outcomes were femoral valgus correction angle (VCA), component angle (α angle and β angle). Six studies with 1167 TKAs were analyzed quantitatively. The coronal limb alignments in individualized group were closer to neutral than fixed group with a mean 0.77° difference (95% CI, -1.43 to -0.11; P = .022; I 2  = 71.0%). Moreover, there were more patients' postoperative alignment deviation within neutral ±3° in the individualized group (RR, 1.23; 95% CI, 1.09 to 1.38; P = .00; I 2  = 36.4%). The α angle were closer to neutral in the individualized group, and there's 1.2° more deviation from neutral in the fixed group (95% CI, 0.99 to 1.41; P = .00; I 2  = 0%). No difference was found in the β angle between groups (WMD, 0.85; 95% CI, -0.09 to 1.78; P = .075; I 2  = 88.3%). This systematic review and meta-analysis demonstrated that the individualized VCA for distal femoral resection could enhance the accuracy of postoperative limb alignment and femoral component alignment in the coronal plane. However, further high-quality RCTs and well-designed trials are still needed. Copyright © 2018 IJS Publishing Group Ltd. Published by Elsevier Ltd. All rights reserved.

  15. Danish translation and validation of the International Skin Tear Advisory Panel Skin Tear Classification System. (United States)

    Skiveren, J; Bermark, S; LeBlanc, K; Baranoski, S


    The aim of this study was to translate, validate and establish reliability of the International Skin Tear Classification System in Danish. Phase 1 of the project involved the translation of the International Skin Tear Advisory Panel (ISTAP) Skin Tear Classification System into Danish, using the forward-back translation method described by the principles of good practice for the translation process for patient-reported outcomes. In Phase 2, the Danish group sought to replicate the ISTAP validation study and validate the classification system with registered nurses (RN) and social and health-care assistants (non-RN) from both primary health care and a Danish university hospital in Copenhagen. Thirty photographs, with equal representation of the three types of skin tears, were selected to test validity. The photographs chosen were those originally used for internal and external validation by the ISTAP group. The subjects were approached in their place of work and invited to participate in the study and to attend an educational session related to skin tears. The Danish translation of the ISTAP classification system was tested on 270 non-wound specialists. The ISTAP classification system was validated by 241 RNs, and 29 non-RN. The results indicated a moderate level of agreement on classification of skin tears by type (Fleiss' Kappa=0.460). A moderate level of agreement was demonstrated for both the RN group and the non-RN group (Fleiss' Kappa=0.464 and 0.443, respectively). The ISTAP Skin Tear Classification System was developed with the goal of establishing a global language for describing and documenting skin tears and to raise the health-care community's awareness of skin tears. The Danish translation of the ISTAP classification system supports the earlier ISTAP study and further validates the classification system. The Danish translation of the classification system is vital to the promotion of skin tears in both research and the clinical settings in Denmark.

  16. Introduction to Subject Indexing; a Programmed Text. Volume Two: UDC and Chain Procedure in Subject Cataloguing. (United States)

    Brown, A. G.; And Others

    This is the second of two volumes dealing with practical classification and subject indexing. The programed text considers use of the Universal Decimal Classification (UDC) and techniques of cross referencing based on UDC in the construction of classified and alphabetical subject catalogs. (Author/LS)

  17. Enhancement of motor learning by focal intermittent theta burst stimulation (iTBS) of either the primary motor (M1) or somatosensory area (S1) in healthy human subjects. (United States)

    Platz, Thomas; Adler-Wiebe, Marija; Roschka, Sybille; Lotze, Martin


    Motor rehabilitation after brain damage relies on motor re-learning as induced by specific training. Non-invasive brain stimulation (NIBS) can alter cortical excitability and thereby has a potential to enhance subsequent training-induced learning. Knowledge about any priming effects of NIBS on motor learning in healthy subjects can help to design targeted therapeutic applications in brain-damaged subjects. To examine whether complex motor learning in healthy subjects can be enhanced by intermittent theta burst stimulation (iTBS) to primary motor or sensory cortical areas. Eighteen young healthy subjects trained eight different arm motor tasks (arm ability training, AAT) once a day for 5 days using their left non-dominant arm. Except for day 1 (baseline), training was performed after applying an excitatory form of repetitive transcranial magnetic stimulation (iTBS) to either (I) right M1 or (II) S1, or (III) sham stimulation to the right M1. Subjects were randomly assigned to conditions I, II, or III. A principal component analysis of the motor behaviour data suggested eight independent motor abilities corresponding to the 8 trained tasks. AAT induced substantial motor learning across abilities with generalisation to a non-trained test of finger dexterity (Nine-Hole-Peg-Test, NHPT). Participants receiving iTBS (to either M1 or S1) showed better performance with the AAT tasks over the period of training compared to sham stimulation as well as a bigger improvement with the generalisation task (NHPT) for the trained left hand after training completion. Priming with an excitatory repetitive transcranial magnetic stimulation as iTBS of either M1 or S1 can enhance motor learning across different sensorimotor abilities.

  18. Neuromuscular disease classification system (United States)

    Sáez, Aurora; Acha, Begoña; Montero-Sánchez, Adoración; Rivas, Eloy; Escudero, Luis M.; Serrano, Carmen


    Diagnosis of neuromuscular diseases is based on subjective visual assessment of biopsies from patients by the pathologist specialist. A system for objective analysis and classification of muscular dystrophies and neurogenic atrophies through muscle biopsy images of fluorescence microscopy is presented. The procedure starts with an accurate segmentation of the muscle fibers using mathematical morphology and a watershed transform. A feature extraction step is carried out in two parts: 24 features that pathologists take into account to diagnose the diseases and 58 structural features that the human eye cannot see, based on the assumption that the biopsy is considered as a graph, where the nodes are represented by each fiber, and two nodes are connected if two fibers are adjacent. A feature selection using sequential forward selection and sequential backward selection methods, a classification using a Fuzzy ARTMAP neural network, and a study of grading the severity are performed on these two sets of features. A database consisting of 91 images was used: 71 images for the training step and 20 as the test. A classification error of 0% was obtained. It is concluded that the addition of features undetectable by the human visual inspection improves the categorization of atrophic patterns.

  19. Confiabilidade interobservador da classificação internacional de atenção primária em uma unidade de atenção básica à saúde Interobserver reliability of the international classification of primary care at a primary health care unit

    Directory of Open Access Journals (Sweden)

    Mariana Miranda Autran Sampaio


    Full Text Available Avaliou-se a confiabilidade interobservador da Classificação Internacional de Atenção Primária na codificação de queixas relatadas em unidade básica de saúde pública, por meio de uma amostra de 300 atendimentos. Os motivos de consulta foram registrados por médicos do serviço, e sua codificação realizada por duas pesquisadoras. A concordância entre as classificadoras em relação ao número de motivos codificados foi calculada por meio do kappa ponderado; para as demais análises (capítulos e códigos completos, foi utilizado o coeficiente kappa simples. Foram codificados 634 motivos pela primeira classificadora e 699 pela segunda. A concordância simples do número de motivos foi moderada, com kappa ponderado de 0,71 (Intervalo de 95% de Confiança [IC95%]: 0,68-0,73. Em relação aos códigos de capítulos e códigos completos, foram encontradas confiabilidade substancial (kappa = 0,89; IC95%: 0,87-0,91 e moderada (kappa = 0,72; IC95%: 0,68-0,76, respectivamente. Os resultados indicam bom desempenho da classificação para codificar motivos de atendimento na atenção básica, mesmo a partir de registros médicos.We evaluated the International Classification of Primary Care interobserver reliability for coding the complaints reported at a primary public health unit. The study sample consisted of 300 appointments. Reasons for appointment were registered by physicians on the medical record and coding was performed by two investigators. Reliability among the classifiers as to the number of coded reasons was calculated by weighted kappa. Crude kappa coefficients were used for the remaining analyses (chapter codes and full codes. A total of 634 reasons were coded by the first classifier and 699 by the second one. Crude reliability of numbers of reasons was moderate, with a 0.71 weighted kappa (95% Confidence Interval [95%CI]: 0.68-0.73. Regarding chapter codes and full codes, reliability was substantial (kappa = 0.89; 95%CI: 0

  20. Classification in Australia. (United States)

    McKinlay, John

    Despite some inroads by the Library of Congress Classification and short-lived experimentation with Universal Decimal Classification and Bliss Classification, Dewey Decimal Classification, with its ability in recent editions to be hospitable to local needs, remains the most widely used classification system in Australia. Although supplemented at…

  1. The Vermont Diabetes Information System (VDIS): Study Design and Subject Recruitment for a Cluster Randomized Trial of a Decision Support System in a Regional Sample of Primary Care Practices (United States)

    MacLean, Charles D.; Littenberg, Benjamin; Gagnon, Michael; Reardon, Mimi; Turner, Paul D.; Jordan, Cy


    Background Despite evidence that optimal care for diabetes can result in reduced complications and improved economic outcomes, such care is often not achieved. The Vermont Diabetes Information System (VDIS) is a registry-based decision support and reminder system based on the Chronic Care Model and targeted to primary care physicians and their patients with diabetes. Purpose To develop and evaluate a regional decision support system for patients with diabetes. Methods Randomized trial of an information system with clustering at the practice level. Ten percent random sub sample of patients selected for a home interview. Subject and setting includes 10 hospitals, 121 primary care providers, and 7,348 patients in 55 Vermont and New York primary care practices. Results We report on the study design and baseline characteristics of the population. Patients have a mean age of 63 years and a mean glycosolated hemoglobin A1C of 7.1%. Sixty percent of the population has excellent glycemic control (A1C<7%); 45% have excellent lipid control (serum LDL-cholesterol < 100mg/dl and serum triglycerides < 400mg/dl). Twenty-five percent have excellent blood pressure control (<130/80 mm Hg). These results compare favorably to recent national reports. However, only 8% are in optimal control for all three of hyperglycemia, lipids and blood pressure. Conclusions Our experience to date indicates that a low cost decision support and information system based on the chronic care model is feasible in primary care practices that lack sophisticated electronic information systems. VDIS is well accepted by patients, providers, and laboratory staff. If proven beneficial in a rigorous, randomized, controlled evaluation, the intervention could be widely disseminated to practices across America and the world with a substantial impact on the outcomes and costs of diabetes. It could also be adapted to other chronic conditions. We anticipate the results of the study will be available in 2006. PMID

  2. Expanding subjectivities

    DEFF Research Database (Denmark)

    Lundgaard Andersen, Linda; Soldz, Stephen


    A major theme in recent psychoanalytic thinking concerns the use of therapist subjectivity, especially “countertransference,” in understanding patients. This thinking converges with and expands developments in qualitative research regarding the use of researcher subjectivity as a tool to understa...

  3. Remote Sensing Information Classification (United States)

    Rickman, Douglas L.


    This viewgraph presentation reviews the classification of Remote Sensing data in relation to epidemiology. Classification is a way to reduce the dimensionality and precision to something a human can understand. Classification changes SCALAR data into NOMINAL data.

  4. Classification in context

    DEFF Research Database (Denmark)

    Mai, Jens Erik


    This paper surveys classification research literature, discusses various classification theories, and shows that the focus has traditionally been on establishing a scientific foundation for classification research. This paper argues that a shift has taken place, and suggests that contemporary...

  5. Clustering and classification of email contents

    Directory of Open Access Journals (Sweden)

    Izzat Alsmadi


    Full Text Available Information users depend heavily on emails’ system as one of the major sources of communication. Its importance and usage are continuously growing despite the evolution of mobile applications, social networks, etc. Emails are used on both the personal and professional levels. They can be considered as official documents in communication among users. Emails’ data mining and analysis can be conducted for several purposes such as: Spam detection and classification, subject classification, etc. In this paper, a large set of personal emails is used for the purpose of folder and subject classifications. Algorithms are developed to perform clustering and classification for this large text collection. Classification based on NGram is shown to be the best for such large text collection especially as text is Bi-language (i.e. with English and Arabic content.

  6. Is classification necessary after Google?

    DEFF Research Database (Denmark)

    Hjørland, Birger


    . Such decisions are considered to be dependent on the purpose and values inherent in the specific classification process. These decisions are not independent of theories and values in the document being classified, but are dependent on an interpretation of the discourses within those documents. Findings...... and purposes. Evidence-based practice provides an example of the importance of classifying documents according to research methods. Originality/value – Solving both the practical (organisational) and the theoretical problems facing classification is necessary if the field is to survive both as a practice...... and as an academic subject within library and information science. This article presents strategies designed to tackle these challenges....

  7. Prevalence of rosacea in an Estonian working population using a standard classification. (United States)

    Abram, Kristi; Silm, Helgi; Oona, Marje


    Data about the prevalence of rosacea are scarce. The aim of this study was to evaluate the prevalence rate of rosacea according to the American National Rosacea Society Expert Committee (NRSEC) classification. A cross-sectional study of 348 subjects randomly selected from a working population >or= 30 years of age was performed. All subjects completed a questionnaire. Skin status was examined according to NRSEC criteria. Of the 348 subjects, 78 (22%) had one or more primary features of rosacea. The most common features were erythema (21%) and telangiectasia (18%). Of the subjects with rosacea, 78% had erythematotelangiectatic rosacea and 22% had papulopustular rosacea. Fifteen percent of the study subjects had experienced frequent episodes of flushing without permanent features of rosacea. No significant gender-related differences were found between study groups. In conclusion, according to the NRSEC, rosacea is a more common skin condition over the age of 30 years than previously thought.

  8. Classification Based on Hierarchical Linear Models: The Need for Incorporation of Social Contexts in Classification Analysis (United States)

    Vaughn, Brandon K.; Wang, Qui


    Many areas in educational and psychological research involve the use of classification statistical analysis. For example, school districts might be interested in attaining variables that provide optimal prediction of school dropouts. In psychology, a researcher might be interested in the classification of a subject into a particular psychological…

  9. Classification of the web

    DEFF Research Database (Denmark)

    Mai, Jens Erik


    This paper discusses the challenges faced by investigations into the classification of the Web and outlines inquiries that are needed to use principles for bibliographic classification to construct classifications of the Web. This paper suggests that the classification of the Web meets challenges...

  10. Classification of extraterrestrial civilizations (United States)

    Tang, Tong B.; Chang, Grace


    A scheme of classification of extraterrestrial intelligence (ETI) communities based on the scope of energy accessible to the civilization in question is proposed as an alternative to the Kardeshev (1964) scheme that includes three types of civilization, as determined by their levels of energy expenditure. The proposed scheme includes six classes: (1) a civilization that runs essentially on energy exerted by individual beings or by domesticated lower life forms, (2) harnessing of natural sources on planetary surface with artificial constructions, like water wheels and wind sails, (3) energy from fossils and fissionable isotopes, mined beneath the planet surface, (4) exploitation of nuclear fusion on a large scale, whether on the planet, in space, or from primary solar energy, (5) extensive use of antimatter for energy storage, and (6) energy from spacetime, perhaps via the action of naked singularities.


    Indian Academy of Sciences (India)

    Subject Index. Variation of surface electric field during geomagnetic disturbed period at Maitri, Antarctica. 1721. Geomorphology. A simple depression-filling method for raster and irregular elevation datasets. 1653. Decision Support System integrated with Geographic. Information System to target restoration actions in water-.

  12. Primary fibromyalgia

    DEFF Research Database (Denmark)

    Jacobsen, Søren; Jensen, L T; Foldager, Marie Viftrup


    Serum concentrations of procollagen type III aminoterminal peptide have previously been reported to be low in some patients with primary fibromyalgia and the aim of this study was to determine if such patients differ clinically from primary fibromyalgia patients with normal levels of procollagen...... type III aminoterminal peptide. Subjective symptoms, tender points and dynamic muscle strength in 45 women with primary fibromyalgia were related to serum concentrations of procollagen type III aminoterminal peptide. Patients with low serum concentrations of procollagen type III aminoterminal peptide...... had more symptoms, a higher frequency of tender points and lesser quality of sleep compared to patients with normal serum concentrations of procollagen type III aminoterminal peptide (P less than 0.05). They also had a lower dynamic muscle strength (P less than 0.0005). We conclude that the serum...

  13. European Hernia Society classification of parastomal hernias. (United States)

    Śmietański, M; Szczepkowski, M; Alexandre, J A; Berger, D; Bury, K; Conze, J; Hansson, B; Janes, A; Miserez, M; Mandala, V; Montgomery, A; Morales Conde, S; Muysoms, F


    A classification of parastomal hernias (PH) is needed to compare different populations described in various trials and cohort studies, complete the previous inguinal and ventral hernia classifications of the European Hernia Society (EHS) and will be integrated into the EuraHS database (European Registry of Abdominal Wall Hernias). Several members of the EHS board and invited experts gathered for 2 days to discuss the development of an EHS classification of PH. The discussions were based on a literature review and critical appraisal of existing classifications. The classification proposal is based on the PH defect size (small is ≤5 cm) and the presence of a concomitant incisional hernia (cIH). Four types were defined: Type I, small PH without cIH; Type II, small PH with cIH; Type III, large PH without cIH; and Type IV, large PH with cIH. In addition, the classification grid includes details about whether the hernia recurs after a previous PH repair or whether it is a primary PH. Clinical validation is needed in the future to assess if the classification allows us to differentiate the treatment strategy and if the classification impacts outcome in these different subgroups. A classification of PH divided into subgroups according to size and cIH was formulated with the aim of improving the ability to compare different studies and their results.

  14. SAW Classification Algorithm for Chinese Text Classification

    Directory of Open Access Journals (Sweden)

    Xiaoli Guo


    Full Text Available Considering the explosive growth of data, the increased amount of text data’s effect on the performance of text categorization forward the need for higher requirements, such that the existing classification method cannot be satisfied. Based on the study of existing text classification technology and semantics, this paper puts forward a kind of Chinese text classification oriented SAW (Structural Auxiliary Word algorithm. The algorithm uses the special space effect of Chinese text where words have an implied correlation between text information mining and text categorization for high-correlation matching. Experiments show that SAW classification algorithm on the premise of ensuring precision in classification, significantly improve the classification precision and recall, obviously improving the performance of information retrieval, and providing an effective means of data use in the era of big data information extraction.

  15. [Suggestion for a classification of odontalgias]. (United States)

    Türp, J C; Hugger, A; Löst, C; Nilges, P; Schindler, H J; Staehle, H J


    Toothache prevalence in the overall population is considerable. However, for clinical purposes, the classification schemes available do not appear to be sufficiently sophisticated. Moreover, not all known forms of dental pain are considered. A refined classification that meets current standards is therefore introduced. To facilitate diagnosis, the characteristic features of the various types of odontalgia are summarized. The new classification differentiates among seven different origins of pain: 1. dentinal pain (originating from the pulpal tissues), 2. pulpal pain (originating from the pulpal tissues), 3. periodontal pain, 4. alveolar-osseous pain, 5. atypical odontalgia, 6. heterotopic dental pain, 7. odontalgia associated with primary psychosocial factors. In our opinion, the proposed classification differentiates among the different forms of odontalgia more precisely than all previous ones. However, its viability and advantages over other available classification schemes still need to be verified in daily practice.

  16. Differentiation chronic post traumatic stress disorder patients from healthy subjects using objective and subjective sleep-related parameters. (United States)

    Tahmasian, Masoud; Jamalabadi, Hamidreza; Abedini, Mina; Ghadami, Mohammad R; Sepehry, Amir A; Knight, David C; Khazaie, Habibolah


    Sleep disturbance is common in chronic post-traumatic stress disorder (PTSD). However, prior work has demonstrated that there are inconsistencies between subjective and objective assessments of sleep disturbance in PTSD. Therefore, we investigated whether subjective or objective sleep assessment has greater clinical utility to differentiate PTSD patients from healthy subjects. Further, we evaluated whether the combination of subjective and objective methods improves the accuracy of classification into patient versus healthy groups, which has important diagnostic implications. We recruited 32 chronic war-induced PTSD patients and 32 age- and gender-matched healthy subjects to participate in this study. Subjective (i.e. from three self-reported sleep questionnaires) and objective sleep-related data (i.e. from actigraphy scores) were collected from each participant. Subjective, objective, and combined (subjective and objective) sleep data were then analyzed using support vector machine classification. The classification accuracy, sensitivity, and specificity for subjective variables were 89.2%, 89.3%, and 89%, respectively. The classification accuracy, sensitivity, and specificity for objective variables were 65%, 62.3%, and 67.8%, respectively. The classification accuracy, sensitivity, and specificity for the aggregate variables (combination of subjective and objective variables) were 91.6%, 93.0%, and 90.3%, respectively. Our findings indicate that classification accuracy using subjective measurements is superior to objective measurements and the combination of both assessments appears to improve the classification accuracy for differentiating PTSD patients from healthy individuals. Copyright © 2017 Elsevier B.V. All rights reserved.

  17. Investigation of primary static recrystallization in a NiTiFe shape memory alloy subjected to cold canning compression using the coupling crystal plasticity finite element method with cellular automaton (United States)

    Zhang, Yanqiu; Jiang, Shuyong; Hu, Li; Zhao, Yanan; Sun, Dong


    The behavior of primary static recrystallization (SRX) in a NiTiFe shape memory alloy (SMA) subjected to cold canning compression was investigated using the coupling crystal plasticity finite element method (CPFEM) with the cellular automaton (CA) method, where the distribution of the dislocation density and the deformed grain topology quantified by CPFEM were used as the input for the subsequent SRX simulation performed using the CA method. The simulation results were confirmed by the experimental ones in terms of microstructures, average grain size and recrystallization fraction, which indicates that the proposed coupling method is well able to describe the SRX behavior of the NiTiFe SMA. The results show that the dislocation density exhibits an inhomogeneous distribution in the deformed sample and the recrystallization nuclei mainly concentrate on zones where the dislocation density is relatively higher. An increase in the compressive deformation degree leads to an increase in nucleation rate and a decrease in grain boundary spaces in the compression direction, which reduces the growth spaces for the SRX nuclei and impedes their further growth. In addition, both the mechanisms of local grain refinement in the incomplete SRX and the influence of compressive deformation degree on the grain size of SRX were vividly illustrated by the corresponding physical models.

  18. Orientation selectivity based structure for texture classification (United States)

    Wu, Jinjian; Lin, Weisi; Shi, Guangming; Zhang, Yazhong; Lu, Liu


    Local structure, e.g., local binary pattern (LBP), is widely used in texture classification. However, LBP is too sensitive to disturbance. In this paper, we introduce a novel structure for texture classification. Researches on cognitive neuroscience indicate that the primary visual cortex presents remarkable orientation selectivity for visual information extraction. Inspired by this, we investigate the orientation similarities among neighbor pixels, and propose an orientation selectivity based pattern for local structure description. Experimental results on texture classification demonstrate that the proposed structure descriptor is quite robust to disturbance.

  19. Mechanisms-based classifications of musculoskeletal pain: part 3 of 3: symptoms and signs of nociceptive pain in patients with low back (± leg) pain.

    LENUS (Irish Health Repository)

    Smart, Keith M


    As a mechanisms-based classification of pain \\'nociceptive pain\\' (NP) refers to pain attributable to the activation of the peripheral receptive terminals of primary afferent neurones in response to noxious chemical, mechanical or thermal stimuli. The symptoms and signs associated with clinical classifications of NP have not been extensively studied. The purpose of this study was to identify symptoms and signs associated with a clinical classification of NP in patients with low back (± leg) pain. Using a cross-sectional, between-subjects design; four hundred and sixty-four patients with low back (± leg) pain were assessed using a standardised assessment protocol after which their pain was assigned a mechanisms-based classification based on experienced clinical judgement. Clinicians then completed a clinical criteria checklist indicating the presence\\/absence of various symptoms and signs. A regression analysis identified a cluster of seven clinical criteria predictive of NP, including: \\'Pain localised to the area of injury\\/dysfunction\\

  20. The Influence of Tactile Perception on Classification of Bone Tissue at Dental Implant Insertion. (United States)

    Linck, Gláucia Kelly Silva Barbosa; Ferreira, Geovane Miranda; De Oliveira, Rubelisa Cândido Gomes; Lindh, Christina; Leles, Cláudio Rodrigues; Ribeiro-Rotta, Rejane Faria


    Various ways of using the Lekholm and Zarb (L&Z) classification have added to the lack of scientific evidence of the effectiveness of this clinical method in the evaluation of implant treatment. The study aims to assess subjective jawbone classifications in patients referred for implant treatment, using L&Z classification with and without surgeon's hand perception at implant insertion. The association between bone type classifications and quantitative parameters of primary implant stability was also assessed. One hundred thirty-five implants were inserted using conventional loading protocol. Three surgeons classified bone quality at implant sites using two methods: one based on periapical and panoramic images (modified L&Z) and one based on the same images associated with the surgeon's tactile perception during drilling (original L&Z). Peak insertion torque and implant stability quotient (ISQ) were recorded. The modified and original L&Z were strongly correlated (rho = 0.79; p dental implant treatment using the L&Z classification. © 2015 Wiley Periodicals, Inc.

  1. La LC classification come linked data

    Directory of Open Access Journals (Sweden)

    Kevin Ford


    Full Text Available In 2009 and in 2011, the Library of Congress made two of its largest authority files – Subject Headings and Names – available as linked data via LC’s Linked Data Service, ID.LOC.GOV. Both are offered in MADS/RDF and SKOS. It is LC’s objective, in 2012, to publish another of its largest authority files as linked data: LC Classification. Whereas the source records for Subject Headings and Names are encoded in the MARC Authority format, from which there is a relatively straightforward mapping to MADS/RDF and SKOS, LC Classification records rely on the MARC Classification format. Mapping from LC Classification to MADS/RDF or SKOS has been a little more challenging. For example, records that represent classification ranges, which are not Concepts intended to be assigned, are not easily accommodated in SKOS. This presents additional problems when needing to accurately represent the relationships in RDF for LC Classification. With comparison to the publication of LCSH and Names at ID.LOC.GOV, this paper will examine issues encountered – and how those challenges were addressed – during the conversion of LC Classification to MADS/RDF and SKOS for release as linked data at ID.LOC.GOV.

  2. Classification of cultivated plants.

    NARCIS (Netherlands)

    Brandenburg, W.A.


    Agricultural practice demands principles for classification, starting from the basal entity in cultivated plants: the cultivar. In establishing biosystematic relationships between wild, weedy and cultivated plants, the species concept needs re-examination. Combining of botanic classification, based

  3. Robotic Rock Classification (United States)

    Hebert, Martial


    This report describes a three-month research program undertook jointly by the Robotics Institute at Carnegie Mellon University and Ames Research Center as part of the Ames' Joint Research Initiative (JRI.) The work was conducted at the Ames Research Center by Mr. Liam Pedersen, a graduate student in the CMU Ph.D. program in Robotics under the supervision Dr. Ted Roush at the Space Science Division of the Ames Research Center from May 15 1999 to August 15, 1999. Dr. Martial Hebert is Mr. Pedersen's research adviser at CMU and is Principal Investigator of this Grant. The goal of this project is to investigate and implement methods suitable for a robotic rover to autonomously identify rocks and minerals in its vicinity, and to statistically characterize the local geological environment. Although primary sensors for these tasks are a reflection spectrometer and color camera, the goal is to create a framework under which data from multiple sensors, and multiple readings on the same object, can be combined in a principled manner. Furthermore, it is envisioned that knowledge of the local area, either a priori or gathered by the robot, will be used to improve classification accuracy. The key results obtained during this project are: The continuation of the development of a rock classifier; development of theoretical statistical methods; development of methods for evaluating and selecting sensors; and experimentation with data mining techniques on the Ames spectral library. The results of this work are being applied at CMU, in particular in the context of the Winter 99 Antarctica expedition in which the classification techniques will be used on the Nomad robot. Conversely, the software developed based on those techniques will continue to be made available to NASA Ames and the data collected from the Nomad experiments will also be made available.

  4. EEG classification of imagined syllable rhythm using Hilbert spectrum methods (United States)

    Deng, Siyi; Srinivasan, Ramesh; Lappas, Tom; D'Zmura, Michael


    We conducted an experiment to determine whether the rhythm with which imagined syllables are produced may be decoded from EEG recordings. High density EEG data were recorded for seven subjects while they produced in imagination one of two syllables in one of three different rhythms. We used a modified second-order blind identification (SOBI) algorithm to remove artefact signals and reduce data dimensionality. The algorithm uses the consistent temporal structure along multi-trial EEG data to blindly decompose the original recordings. For the four primary SOBI components, joint temporal and spectral features were extracted from the Hilbert spectra (HS) obtained by a Hilbert-Huang transformation (HHT). The HS provide more accurate time-spectral representations of non-stationary data than do conventional techniques like short-time Fourier spectrograms and wavelet scalograms. Classification of the three rhythms yields promising results for inter-trial transfer, with performance for all subjects significantly greater than chance. For comparison, we tested classification performance of three averaging-based methods, using features in the temporal, spectral and time-frequency domains, respectively, and the results are inferior to those of the SOBI-HHT-based method. The results suggest that the rhythmic structure of imagined syllable production can be detected in non-invasive brain recordings and provide a step towards the development of an EEG-based system for communicating imagined speech.

  5. [Another seizure classification--Semiological Seizure Classification]. (United States)

    Lin, Ji-Ho; Kwan, Shang-Yeong; Wu, Dean; Su, Min-Shin; Yiu, Chun-Hing


    The International League Against Epilepsy (ILAE) introduced in 1981 a seizure classification based on clinical semiology, interictal EEG findings, and ictal EEG patterns. Such classification depends heavily on detailed electroclinical correlation. After 20 years' progress in epileptology, many clinicians have found it difficult to make a "definite" seizure diagnosis clinically without a series of electrophysiological examinations, particularly in the infants, and further advancement in epileptology has findings have made the previous classification inefficient. Lüders and colleagues have proposed a classification, Semiological Seizure Classification (SSC), based exclusively on ictal semiology, which was published in the official journal of ILAE-EPILEPSIA in 1998. The EEG, neuroimaging and other laboratory results should be analyzed separately and then integrated to define the epileptic syndromes. The seizure diagnosis is thus made through a "what-you-see-is-what-you-get" way. It has also provoked an extensive discussion about the necessity of this new classification. In this review, we present the original guideline, which has been used at The Cleveland Clinic Foundation for years, to introduce another method of epileptic seizure classification.

  6. New classification scheme for ozone monitoring stations based on frequency distribution of hourly data. (United States)

    Tapia, O; Escudero, M; Lozano, Á; Anzano, J; Mantilla, E


    According to European Union (EU) legislation, ozone (O3) monitoring sites can be classified regarding their location (rural background, rural, suburban, urban) or based on the presence of emission sources (background, traffic, industrial). There have been attempts to improve these classifications aiming to reduce their ambiguity and subjectivity, but although scientifically sound, they lack the simplicity needed for operational purposes. We present a simple methodology for classifying O3 stations based on the characteristics of frequency distribution curves which are indicative of the actual impact of combustion sources emitting NO that consumes O3 via titration. Four classes are identified using 1998-2012 hourly data from 72 stations widely distributed in mainland Spain and the Balearic Islands. Types 1 and 2 present unimodal bell-shaped distribution with very low amount of data near zero reflecting a limited influence of combustion sources while Type 4 has a primary mode close to zero, showing the impact of combustion sources, and a minor mode for higher concentrations. Type 3 stations present bimodal distributions with the main mode in the higher levels. We propose a quantitative metric based on the Gini index with the objective of reproducing this classification and finding empirical ranges potentially useful for future classifications. The analysis of the correspondence with the EUROAIRNET classes for the 72 stations reveals that the proposed scheme is only dependent on the impact of combustion sources and not on climatic or orographic aspects. It is demonstrated that this classification is robust since in 87% of the occasions the classification obtained for individual years coincide with the global classification obtained for the 1998-2012 period. Finally, case studies showing the applicability of the new classification scheme for assessing the impact on O3 of a station relocation and performing a critical evaluation of an air quality monitoring network are

  7. Classification, disease, and diagnosis. (United States)

    Jutel, Annemarie


    Classification shapes medicine and guides its practice. Understanding classification must be part of the quest to better understand the social context and implications of diagnosis. Classifications are part of the human work that provides a foundation for the recognition and study of illness: deciding how the vast expanse of nature can be partitioned into meaningful chunks, stabilizing and structuring what is otherwise disordered. This article explores the aims of classification, their embodiment in medical diagnosis, and the historical traditions of medical classification. It provides a brief overview of the aims and principles of classification and their relevance to contemporary medicine. It also demonstrates how classifications operate as social framing devices that enable and disable communication, assert and refute authority, and are important items for sociological study.

  8. Classification of remotely sensed images

    CSIR Research Space (South Africa)

    Dudeni, N


    Full Text Available images N. Dudeni, P. Debba Introduction to Remote Sensing Introduction to Image Classification Objective of the study Classification algorithms by group Unsupervised algorithms Supervised classification algorithms Spatial... of remotely sensed images N. Dudeni, P. Debba Introduction to Remote Sensing Introduction to Image Classification Objective of the study Classification algorithms by group Unsupervised algorithms Supervised classification algorithms...

  9. Functional Basis of Microorganism Classification. (United States)

    Zhu, Chengsheng; Delmont, Tom O; Vogel, Timothy M; Bromberg, Yana


    Correctly identifying nearest "neighbors" of a given microorganism is important in industrial and clinical applications where close relationships imply similar treatment. Microbial classification based on similarity of physiological and genetic organism traits (polyphasic similarity) is experimentally difficult and, arguably, subjective. Evolutionary relatedness, inferred from phylogenetic markers, facilitates classification but does not guarantee functional identity between members of the same taxon or lack of similarity between different taxa. Using over thirteen hundred sequenced bacterial genomes, we built a novel function-based microorganism classification scheme, functional-repertoire similarity-based organism network (FuSiON; flattened to fusion). Our scheme is phenetic, based on a network of quantitatively defined organism relationships across the known prokaryotic space. It correlates significantly with the current taxonomy, but the observed discrepancies reveal both (1) the inconsistency of functional diversity levels among different taxa and (2) an (unsurprising) bias towards prioritizing, for classification purposes, relatively minor traits of particular interest to humans. Our dynamic network-based organism classification is independent of the arbitrary pairwise organism similarity cut-offs traditionally applied to establish taxonomic identity. Instead, it reveals natural, functionally defined organism groupings and is thus robust in handling organism diversity. Additionally, fusion can use organism meta-data to highlight the specific environmental factors that drive microbial diversification. Our approach provides a complementary view to cladistic assignments and holds important clues for further exploration of microbial lifestyles. Fusion is a more practical fit for biomedical, industrial, and ecological applications, as many of these rely on understanding the functional capabilities of the microbes in their environment and are less concerned with

  10. [Subjective cognition in schizophrenia]. (United States)

    Potvin, S; Aubin, G; Stip, E


    . Visual learning performance was the most consistent predictor of most SSTICS subscores (e.g. episodic memory, attention, executive functioning, language and praxis). Modest associations were found between the PANSS cognitive factor and objective cognition (e.g. Stroop interference, visual learning, and working memory). Finally, the factor analysis revealed a 6-factor solution that echoes the classification of the items of the SSTICS based on the neuropsychological literature. Using a scale having good internal validity, as shown by the factor analysis, the current study highlighted modest associations between subjective and objective cognitive performance, which suggests that schizophrenia patients are only partially aware of their own cognitive deficits. The results also showed a lack of correspondence between the impaired cognitive domain and the domain of cognitive awareness. It should be noted that clinicians were not better than patients at evaluating their cognitive deficits. Future research will need to determine if the observations reported here are schizophrenia-specific or not. Copyright © 2016 L'Encéphale, Paris. Published by Elsevier Masson SAS. All rights reserved.

  11. A neural network for noise correlation classification (United States)

    Paitz, Patrick; Gokhberg, Alexey; Fichtner, Andreas


    We present an artificial neural network (ANN) for the classification of ambient seismic noise correlations into two categories, suitable and unsuitable for noise tomography. By using only a small manually classified data subset for network training, the ANN allows us to classify large data volumes with low human effort and to encode the valuable subjective experience of data analysts that cannot be captured by a deterministic algorithm. Based on a new feature extraction procedure that exploits the wavelet-like nature of seismic time-series, we efficiently reduce the dimensionality of noise correlation data, still keeping relevant features needed for automated classification. Using global- and regional-scale data sets, we show that classification errors of 20 per cent or less can be achieved when the network training is performed with as little as 3.5 per cent and 16 per cent of the data sets, respectively. Furthermore, the ANN trained on the regional data can be applied to the global data, and vice versa, without a significant increase of the classification error. An experiment where four students manually classified the data, revealed that the classification error they would assign to each other is substantially larger than the classification error of the ANN (>35 per cent). This indicates that reproducibility would be hampered more by human subjectivity than by imperfections of the ANN.

  12. Image classification using eigenpaxels (United States)

    McGuire, Peter Frederick

    The intelligent control of robotic is a major limiting factor in the utilization of current robotic technology. Although the technology to accurately position robotic manipulators is well developed, practical applications are often limited by the controller's ability to interact with a complex environment. Central to this plight is the integration of sensory signals, such as vision, into the control structure. Recently, a number of promising approaches to visual information processing have been developed using artificial neural networks (ANNs). These approaches, however, are often tailored to particular applications and are therefore disparate and limited in scope. In contrast, biological neural networks perform a wide range of visual tasks yet this behavior arises from a single integrated neural structure. The work presented in this thesis details a biologically inspired image processing algorithm and its application to an image classification problem. Based on the organization of cells in the primary visual cortex of primates, this algorithm utilizes key neural mechanisms to produce efficient representations of images. Dubbed the "eigenpaxel" algorithm, excellent results are obtained despite the relative simplicity of the method. In addition, the relationship between the algorithm and biological vision may help to shed light on the processing occurring within the brain and the basis of the organization found therein.

  13. Recursive heuristic classification (United States)

    Wilkins, David C.


    The author will describe a new problem-solving approach called recursive heuristic classification, whereby a subproblem of heuristic classification is itself formulated and solved by heuristic classification. This allows the construction of more knowledge-intensive classification programs in a way that yields a clean organization. Further, standard knowledge acquisition and learning techniques for heuristic classification can be used to create, refine, and maintain the knowledge base associated with the recursively called classification expert system. The method of recursive heuristic classification was used in the Minerva blackboard shell for heuristic classification. Minerva recursively calls itself every problem-solving cycle to solve the important blackboard scheduler task, which involves assigning a desirability rating to alternative problem-solving actions. Knowing these ratings is critical to the use of an expert system as a component of a critiquing or apprenticeship tutoring system. One innovation of this research is a method called dynamic heuristic classification, which allows selection among dynamically generated classification categories instead of requiring them to be prenumerated.

  14. 9 CFR 3.33 - Classification and separation. (United States)


    ... 9 Animals and Animal Products 1 2010-01-01 2010-01-01 false Classification and separation. 3.33... Transportation of Guinea Pigs and Hamsters Animal Health and Husbandry Standards § 3.33 Classification and separation. Animals housed in the same primary enclosure shall be maintained in compatible groups, with the...

  15. Comparison of Values in 5th, 6th, 7th and 8th Grade Primary Education Music Class Students'? Workbooks According to Rokeach?s and Akbas's Value Classifications (United States)

    Çakirer, H. Serdar


    The aim of the present study is to compare the values in the songs of 5th, 6th, 7th and 8th grade primary education music classes students? workbooks according to the value categorizations proposed by Rockeach and Akbas and which values among the categories mentioned are taught to the students in the 5th, 6th, 7th and 8th grade primary education…

  16. Classification of educational subject matter: the case of Home ...

    African Journals Online (AJOL)

    Although it represents an individual view, this article was submitted to the Department of Education by the Cape Higher Education Consortium (CHEC) as an outcome of the review of the field of Home Economics in the Western Cape region. By presenting some history, it argues that the category of Home Economics is no ...

  17. Classification of Flotation Frothers

    Directory of Open Access Journals (Sweden)

    Jan Drzymala


    Full Text Available In this paper, a scheme of flotation frothers classification is presented. The scheme first indicates the physical system in which a frother is present and four of them i.e., pure state, aqueous solution, aqueous solution/gas system and aqueous solution/gas/solid system are distinguished. As a result, there are numerous classifications of flotation frothers. The classifications can be organized into a scheme described in detail in this paper. The frother can be present in one of four physical systems, that is pure state, aqueous solution, aqueous solution/gas and aqueous solution/gas/solid system. It results from the paper that a meaningful classification of frothers relies on choosing the physical system and next feature, trend, parameter or parameters according to which the classification is performed. The proposed classification can play a useful role in characterizing and evaluation of flotation frothers.

  18. Plant glutathione S-transferase classification, structure and evolution ...

    African Journals Online (AJOL)

    Glutathione S-transferases are multifunctional proteins involved in diverse intracellular events such as primary and secondary metabolisms, stress metabolism, herbicide detoxification and plant protection ... Key words: Glutathione S-transferases (GST), classification, structure, evolution, phylogenetic analysis, xenobiotics.

  19. [On the path to creation of genealogical (natural) classification of organisms]. (United States)

    Skrypal', I H


    C. Woose and his followers have realized the main dream of systematicians and laid the basement for creation of such classification of organisms which whoud allow for their genealogical affinity. Departing from the achievement of molecular biology and genomics and using their own results of sequences of 16S pRNA and their accurate analysis they have constructed the trees of the most probable phylogeny of microorganisms and divided everything living on the Earth into three primary empires (domains): Bacteria, Archaea and Eukarya. These achievements were accepted ambiguously and even negatively by classical systematicians of Darwin's school. The paper deals with the situation in the camp of systematicians, with their objective and subjective approaches to development of this science. Despite the animosity of classical systematicians to the above achievements there is sureness that new achievement will go along the path shown by C. Woose to complete reaching the aim--creation of genealogical (natural) classification of all organisms populating the Earth.

  20. Statistical classification of images


    Giuliodori, María Andrea


    Image classification is a burgeoning field of study. Despite the advances achieved in this camp, there is no general agreement about what is the most effective methods for the classification of digital images. This dissertation contributes to this line of research by developing different statistical methods aim to classifying digital images. In Chapter 1 we introduce basic concepts of image classification and review some results and methodologies proposed previously in the literature. In Chap...

  1. Towards secondary fingerprint classification

    CSIR Research Space (South Africa)

    Msiza, IS


    Full Text Available fingerprints that have a ?x that is greater than 30 pixels, and the same reasoning can be attributed to the mis-classification of some of the RL class fingerprints. Possible 2011 International Conference on Computer Engineering and Applications (ICCEA 2011...]. Even though the concept of sample classification applies to systems that use almost any biometric modality, this manuscript focuses on fingerprint classification, with immediate application to an automated fingerprint recog- nition system...

  2. Enhancement classification of galaxy images (United States)

    Jenkinson, John

    With the advent of astronomical imaging technology developments, and the increased capacity of digital storage, the production of photographic atlases of the night sky have begun to generate volumes of data which need to be processed autonomously. As part of the Tonantzintla Digital Sky Survey construction, the present work involves software development for the digital image processing of astronomical images, in particular operations that preface feature extraction and classification. Recognition of galaxies in these images is the primary objective of the present work. Many galaxy images have poor resolution or contain faint galaxy features, resulting in the misclassification of galaxies. An enhancement of these images by the method of the Heap transform is proposed, and experimental results are provided which demonstrate the image enhancement to improve the presence of faint galaxy features thereby improving classification accuracy. The feature extraction was performed using morphological features that have been widely used in previous automated galaxy investigations. Principal component analysis was applied to the original and enhanced data sets for a performance comparison between the original and reduced features spaces. Classification was performed by the Support Vector Machine learning algorithm.

  3. High-Resolution Movement EEG Classification

    Directory of Open Access Journals (Sweden)

    Jakub Štastný


    Full Text Available The aim of the contribution is to analyze possibilities of high-resolution movement classification using human EEG. For this purpose, a database of the EEG recorded during right-thumb and little-finger fast flexion movements of the experimental subjects was created. The statistical analysis of the EEG was done on the subject's basis instead of the commonly used grand averaging. Statistically significant differences between the EEG accompanying movements of both fingers were found, extending the results of other so far published works. The classifier based on hidden Markov models was able to distinguish between movement and resting states (classification score of 94–100%, but it was unable to recognize the type of the movement. This is caused by the large fraction of other (nonmovement related EEG activities in the recorded signals. A classification method based on advanced EEG signal denoising is being currently developed to overcome this problem.

  4. The 2008 World Health Organization classification system for myeloproliferative neoplasms: order out of chaos

    National Research Council Canada - National Science Library

    Tefferi, Ayalew; Thiele, Juergen; Vardiman, James W


    ...), and primary myelofibrosis (PMF). The 2001 World Health Organization (WHO) classification of myeloid malignancies included these MPDs under the broader category of chronic myeloproliferative diseases (CMPD...

  5. Contemporary management and classification of hepatic leiomyosarcoma. (United States)

    Hamed, Mazin O; Roberts, Keith J; Merchant, William; Lodge, J Peter A


    Hepatic leiomyosarcomas are rare soft-tissue tumours. The majority of lesions previously considered as leiomyosarcomas have been identified as gastrointestinal stromal tumours (GISTs). Consequently, understanding of the role of liver resection for true leiomyosarcoma is limited, a fact that is exacerbated by the increasing recognition of leiomyosarcoma subtypes. This study presents data on the outcomes of liver resection for leiomyosarcoma and suggests an algorithm for its pathological assessment and treatment. Patients were identified from a prospectively collected departmental database. All tumours were negative for c-kit expression. Immunohistochemistry was performed to identify the presence of oestrogen or progesterone receptor (OR/PR) expression or Epstein-Barr virus (EBV) and patients were stratified according to this profile. Eight patients (of whom seven were female) underwent a total of 11 liver resections over a 12-year period. One patient had a primary hepatic leiomyosarcoma. Of those with metastatic leiomyosarcomas, the primary tumours were located in the mesentery, gynaecological organs and retroperitoneum in four, two and one patient, respectively. Both leiomyosarcomas of gynaecological origin stained positive for OR/PR expression. One patient had previously undergone renal transplantation; this leiomyosarcoma was associated with EBV expression. Median survival was 56 months (range: 22-132 months) and eight, six and four patients remained alive at 1, 3 and 5 years, respectively. Hepatic resection for leiomyosarcoma is associated with encouraging rates of 5-year overall and disease-free survival. The worse outcome that had been expected based on data derived from historical cohorts (partly comprising subjects with GIST) was not observed. An algorithm for pathological classification and treatment is suggested. © 2014 International Hepato-Pancreato-Biliary Association.

  6. The predictive value of self-rated health in the presence of subjective memory complaints on permanent nursing home placement in elderly primary care patients over 4-year follow-up

    DEFF Research Database (Denmark)

    Nielsen, Anni Brit Sternhagen; Siersma, Volkert Dirk; Waldemar, Gunhild


    self-rated health (SRH) predicts nursing home (NH) placement; subjective memory complaints (SMC) too. However, the predictive value of SRH in the presence of SMC is unclear.......self-rated health (SRH) predicts nursing home (NH) placement; subjective memory complaints (SMC) too. However, the predictive value of SRH in the presence of SMC is unclear....

  7. Better Dead Than Read: Further Studies in Critical Classification. (United States)

    Foskett, A. C.


    Offers illustrations of anomalies and prejudices found in common information retrieval tools: "LC Subject Headings" (9th edition), "Dewey Decimal Classification" (19th edition), "Universal Decimal Classification" (3rd abridged edition). Index terms in areas of sexual bias, social strata, politics, knowledge, customs,…

  8. Classification complexity in myoelectric pattern recognition. (United States)

    Nilsson, Niclas; Håkansson, Bo; Ortiz-Catalan, Max


    Limb prosthetics, exoskeletons, and neurorehabilitation devices can be intuitively controlled using myoelectric pattern recognition (MPR) to decode the subject's intended movement. In conventional MPR, descriptive electromyography (EMG) features representing the intended movement are fed into a classification algorithm. The separability of the different movements in the feature space significantly affects the classification complexity. Classification complexity estimating algorithms (CCEAs) were studied in this work in order to improve feature selection, predict MPR performance, and inform on faulty data acquisition. CCEAs such as nearest neighbor separability (NNS), purity, repeatability index (RI), and separability index (SI) were evaluated based on their correlation with classification accuracy, as well as on their suitability to produce highly performing EMG feature sets. SI was evaluated using Mahalanobis distance, Bhattacharyya distance, Hellinger distance, Kullback-Leibler divergence, and a modified version of Mahalanobis distance. Three commonly used classifiers in MPR were used to compute classification accuracy (linear discriminant analysis (LDA), multi-layer perceptron (MLP), and support vector machine (SVM)). The algorithms and analytic graphical user interfaces produced in this work are freely available in BioPatRec. NNS and SI were found to be highly correlated with classification accuracy (correlations up to 0.98 for both algorithms) and capable of yielding highly descriptive feature sets. Additionally, the experiments revealed how the level of correlation between the inputs of the classifiers influences classification accuracy, and emphasizes the classifiers' sensitivity to such redundancy. This study deepens the understanding of the classification complexity in prediction of motor volition based on myoelectric information. It also provides researchers with tools to analyze myoelectric recordings in order to improve classification performance.

  9. Classification and mapping of rangeland vegetation physiognomic ...

    African Journals Online (AJOL)

    Plot vegetation species growth form, cover and height data were collected from 450 sampling sites based on eight spectral strata generated using unsupervised image classification. Field data were grouped at four levels of seven, six, three and two vegetation physiognomic classes which were subjected to both ML and ...

  10. Key to Information, Universal Decimal Classification. (United States)

    van der Brugghen, W., Ed.

    This short guide to Universal Decimal Classification (UDC) presents the most essential facts about this system in a simple and concise manner. The main features of the scheme which treats all human knowledge and science as a coherent pattern of interrelated subjects are presented along with a structure of the schedules for the main and auxiliary…

  11. Creating a Canonical Scientific and Technical Information Classification System for NCSTRL+ (United States)

    Tiffany, Melissa E.; Nelson, Michael L.


    The purpose of this paper is to describe the new subject classification system for the NCSTRL+ project. NCSTRL+ is a canonical digital library (DL) based on the Networked Computer Science Technical Report Library (NCSTRL). The current NCSTRL+ classification system uses the NASA Scientific and Technical (STI) subject classifications, which has a bias towards the aerospace, aeronautics, and engineering disciplines. Examination of other scientific and technical information classification systems showed similar discipline-centric weaknesses. Traditional, library-oriented classification systems represented all disciplines, but were too generalized to serve the needs of a scientific and technically oriented digital library. Lack of a suitable existing classification system led to the creation of a lightweight, balanced, general classification system that allows the mapping of more specialized classification schemes into the new framework. We have developed the following classification system to give equal weight to all STI disciplines, while being compact and lightweight.

  12. Library Classification 2020 (United States)

    Harris, Christopher


    In this article the author explores how a new library classification system might be designed using some aspects of the Dewey Decimal Classification (DDC) and ideas from other systems to create something that works for school libraries in the year 2020. By examining what works well with the Dewey Decimal System, what features should be carried…

  13. Linear Classification Functions. (United States)

    Huberty, Carl J.; Smith, Jerry D.

    Linear classification functions (LCFs) arise in a predictive discriminant analysis for the purpose of classifying experimental units into criterion groups. The relative contribution of the response variables to classification accuracy may be based on LCF-variable correlations for each group. It is proved that, if the raw response measures are…

  14. Mapping of the Universe of Knowledge in Different Classification Schemes

    Directory of Open Access Journals (Sweden)

    M. P. Satija


    Full Text Available Given the variety of approaches to mapping the universe of knowledge that have been presented and discussed in the literature, the purpose of this paper is to systematize their main principles and their applications in the major general modern library classification schemes. We conducted an analysis of the literature on classification and the main classification systems, namely Dewey/Universal Decimal Classification, Cutter’s Expansive Classification, Subject Classification of J.D. Brown, Colon Classification, Library of Congress Classification, Bibliographic Classification, Rider’s International Classification, Bibliothecal Bibliographic Klassification (BBK, and Broad System of Ordering (BSO. We conclude that the arrangement of the main classes can be done following four principles that are not mutually exclusive: ideological principle, social purpose principle, scientific order, and division by discipline. The paper provides examples and analysis of each system. We also conclude that as knowledge is ever-changing, classifications also change and present a different structure of knowledge depending upon the society and time of their design.

  15. Urinary prognostic biomarkers and classification of IgA nephropathy by high resolution mass spectrometry coupled with liquid chromatography.

    Directory of Open Access Journals (Sweden)

    Shiva Kalantari

    Full Text Available IgA nephropathy is the most common cause of primary glomerulonephritis. There are different pathologic biopsy-based scoring systems in use, but there is no consensus among nephrologists yet regarding the best classification method. Our aim was to test urine proteomics as a non-invasive method for classification of IgA nephropathy. This aim was pursued by discovering novel prognostic protein biomarkers in urine, and linking them to pathogenesis of the disease through known signaling and metabolic pathways. 13 urine samples of the patients with biopsy-proven IgA nephropathy were analyzed via two proteomics approaches: nanoflow LC-MS/MS and GeLC-MS/MS. The results of label-free quantification were subjected to multivariate statistical analysis, which could classify patients into two groups, broadly corresponding to the primary and advance stages. The proteome classification correlated well with biopsy-based scoring systems, especially endocapillary hypercellularity score of the Oxford's classification. Differentially excreted candidate proteins were found as potential prognostic biomarkers: afamin, leucine-rich alpha-2-glycoprotein, ceruloplasmin, alpha-1-microgolbulin, hemopexin, apolipoprotein A-I, complement C3, vitamin D-binding protein, beta-2-microglobulin, and retinol-binding protein 4. Pathway analysis suggested impairment of Extra Cellular Matrix (ECM-Receptor Interaction pathways as well as activation of complement and coagulation pathway in progression of IgA nephropathy.

  16. Challenges in prosthesis classification. (United States)

    Robertsson, Otto; Mendenhall, Stan; Paxton, Elizabeth W; Inacio, Maria C S; Graves, Stephen


    Accurate prosthesis classification is critical for total joint arthroplasty surveillance and assessment of comparative effectiveness. Historically, prosthesis classification was based solely on the names of the prosthesis manufacturers. As a result, prosthesis designs changed without corresponding name changes, and other prostheses' names changed over time without substantial design modifications. As the number of prostheses used in total joint arthroplasty on the market increased, catalog and lot numbers associated with prosthesis descriptions were introduced by manufacturers. Currently, these catalog and lot numbers are not standardized, and there is no consensus on categorization of these numbers into brands or subbrands. Classification of the attributes of a prosthesis also varies, limiting comparisons of prostheses across studies and reports. The development of a universal prosthesis classification system would standardize prosthesis classification and enhance total joint arthroplasty research collaboration worldwide. This is a current area of focus for the International Consortium of Orthopaedic Registries (ICOR).

  17. Graph Theory-Based Brain Connectivity for Automatic Classification of Multiple Sclerosis Clinical Courses. (United States)

    Kocevar, Gabriel; Stamile, Claudio; Hannoun, Salem; Cotton, François; Vukusic, Sandra; Durand-Dubief, Françoise; Sappey-Marinier, Dominique


    Purpose: In this work, we introduce a method to classify Multiple Sclerosis (MS) patients into four clinical profiles using structural connectivity information. For the first time, we try to solve this question in a fully automated way using a computer-based method. The main goal is to show how the combination of graph-derived metrics with machine learning techniques constitutes a powerful tool for a better characterization and classification of MS clinical profiles. Materials and Methods: Sixty-four MS patients [12 Clinical Isolated Syndrome (CIS), 24 Relapsing Remitting (RR), 24 Secondary Progressive (SP), and 17 Primary Progressive (PP)] along with 26 healthy controls (HC) underwent MR examination. T1 and diffusion tensor imaging (DTI) were used to obtain structural connectivity matrices for each subject. Global graph metrics, such as density and modularity, were estimated and compared between subjects' groups. These metrics were further used to classify patients using tuned Support Vector Machine (SVM) combined with Radial Basic Function (RBF) kernel. Results: When comparing MS patients to HC subjects, a greater assortativity, transitivity, and characteristic path length as well as a lower global efficiency were found. Using all graph metrics, the best F-Measures (91.8, 91.8, 75.6, and 70.6%) were obtained for binary (HC-CIS, CIS-RR, RR-PP) and multi-class (CIS-RR-SP) classification tasks, respectively. When using only one graph metric, the best F-Measures (83.6, 88.9, and 70.7%) were achieved for modularity with previous binary classification tasks. Conclusion: Based on a simple DTI acquisition associated with structural brain connectivity analysis, this automatic method allowed an accurate classification of different MS patients' clinical profiles.


    Directory of Open Access Journals (Sweden)

    K. V. Marintseva


    Full Text Available Purpose. It is important for Ukraine to have a network of airports, which would promote the current and long-term implementation of air transportation needs of the population and the economics. This study aims to establish criteria of airports classification to determine their role in the development of the air transport system of Ukraine. Methodology. The methods of statistical analysis were used for the processing of data according to categories of airport productivity and geographic information system for data visualization. Findings. It is established that the existing division of Ukrainian airports into international and domestic, as well as into coordinated and non-coordinated ones is not relevant for determining the role of airport in the development of air transport system of the country and accordingly for the priority in financing of their modernization. The approach to the determination of airports classifications using analysis of performance categories was developed. Originality. Classification criterions of the airports in Ukraine are proposed: by type of activity and by the maintenance of scheduled route network. It is proposed to classify the airports by the type of activity to the primary commercial, commercial, cargo primary commercial, cargo commercial and general aviation. According to the scheduled route network maintenane it is proposed to classify the airports as the primary, non-primary and auxiliary hubs. An example of classification by the given criteria is submitted. Practical value. The value of the obtained results is in the possibility of using the proposed classification in the task of determining the priorities for financing the country's airports. As opposed to the practice of directed funding procedure in the framework of the state program of airports development, it is proposed to take into account the fact that the resumption of the functioning of the airport and/or its modernization should be as a response to

  19. Kappa Coefficients for Circular Classifications

    NARCIS (Netherlands)

    Warrens, Matthijs J.; Pratiwi, Bunga C.


    Circular classifications are classification scales with categories that exhibit a certain periodicity. Since linear scales have endpoints, the standard weighted kappas used for linear scales are not appropriate for analyzing agreement between two circular classifications. A family of kappa

  20. Pattern recognition and classification an introduction

    CERN Document Server

    Dougherty, Geoff


    The use of pattern recognition and classification is fundamental to many of the automated electronic systems in use today. However, despite the existence of a number of notable books in the field, the subject remains very challenging, especially for the beginner. Pattern Recognition and Classification presents a comprehensive introduction to the core concepts involved in automated pattern recognition. It is designed to be accessible to newcomers from varied backgrounds, but it will also be useful to researchers and professionals in image and signal processing and analysis, and in computer visi

  1. Mechanisms-based classifications of musculoskeletal pain: part 2 of 3: symptoms and signs of peripheral neuropathic pain in patients with low back (± leg) pain.

    LENUS (Irish Health Repository)

    Smart, Keith M


    As a mechanisms-based classification of pain \\'peripheral neuropathic pain\\' (PNP) refers to pain arising from a primary lesion or dysfunction in the peripheral nervous system. Symptoms and signs associated with an assumed dominance of PNP in patients attending for physiotherapy have not been extensively studied. The purpose of this study was to identify symptoms and signs associated with a clinical classification of PNP in patients with low back (± leg) pain. Using a cross-sectional, between-subjects design; four hundred and sixty-four patients with low back (± leg) pain were assessed using a standardised assessment protocol. Patients\\' pain was assigned a mechanisms-based classification based on experienced clinical judgement. Clinicians then completed a clinical criteria checklist specifying the presence or absence of various clinical criteria. A binary logistic regression analysis with Bayesian model averaging identified a cluster of two symptoms and one sign predictive of PNP, including: \\'Pain referred in a dermatomal or cutaneous distribution\\

  2. Text Classification by Combining Different Distance Functions with Weights (United States)

    Yamada, Takahiro; Ishii, Naohiro; Nakashima, Toyoshiro

    The text classification is an important subject in the data mining. For the text classification, several methods have been developed up to now, as the nearest neighbor analysis, the latent semantic analysis, etc. The k-nearest neighbor (kNN) classification is a well-known simple and effective method for the classification of data in many domains. In the use of the kNN, the distance function is important to measure the distance and the similarity between data. To improve the performance of the classifier by the kNN, a new approach to combine multiple distance functions is proposed here. The weighting factors of elements in the distance function, are computed by GA for the effectiveness of the measurement. Further, an ensemble processing was developed for the improvement of the classification accuracy. Finally, it is shown by experiments that the methods, developed here, are effective in the text classification.

  3. Classification of Meteorites and Their Genetic Relationships (United States)

    Krot, A. N.; Keil, K.; Scott, E. R. D.; Goodrich, C. A.; Weisberg, M. K.

    In this chapter, we review current classification of meteorites, which is based on several primary classification parameters the whole-rock chemical compositions, oxygen isotopic compositions, carbon and nitrogen abundances and isotopic compositions, stable-isotope anomalies, mineralogy and petrography. Secondary classification parameters - petrologic type and shock metamorphism stages - provide clues to the thermal and shock history of meteorites, and degree of terrestrial weathering. We summarize the major mineralogical and geochemical characteristics of chondrite groups (H, L, LL, EH, EL, R, K, CI, CM, CR, CO, CK, CV, CH, and CB), and nonchondritic meteorites, both asteroidal (winonaites, acapulcoites-lodranites, brachinites, ureilites, angrites, howardites-eucrites-diogenites, mesosiderites, pallasites, and irons) and planetary (lunar and Martian - shergottites, nakhlites, chassignites, and orthopyroxenites). Finally, we discuss possible genetic relationships among meteorite groups.

  4. Using Genetic Algorithms for Texts Classification Problems

    Directory of Open Access Journals (Sweden)

    A. A. Shumeyko


    Full Text Available The avalanche quantity of the information developed by mankind has led to concept of automation of knowledge extraction – Data Mining ([1]. This direction is connected with a wide spectrum of problems - from recognition of the fuzzy set to creation of search machines. Important component of Data Mining is processing of the text information. Such problems lean on concept of classification and clustering ([2]. Classification consists in definition of an accessory of some element (text to one of in advance created classes. Clustering means splitting a set of elements (texts on clusters which quantity are defined by localization of elements of the given set in vicinities of these some natural centers of these clusters. Realization of a problem of classification initially should lean on the given postulates, basic of which – the aprioristic information on primary set of texts and a measure of affinity of elements and classes.

  5. [Classification of cardiomyopathy]. (United States)

    Asakura, Masanori; Kitakaze, Masafumi


    Cardiomyopathy is a group of cardiovascular diseases with poor prognosis. Some patients with dilated cardiomyopathy need heart transplantations due to severe heart failure. Some patients with hypertrophic cardiomyopathy die unexpectedly due to malignant ventricular arrhythmias. Various phenotypes of cardiomyopathies are due to the heterogeneous group of diseases. The classification of cardiomyopathies is important and indispensable in the clinical situation. However, their classification has not been established, because the causes of cardiomyopathies have not been fully elucidated. We usually use definition and classification offered by WHO/ISFC task force in 1995. Recently, several new definitions and classifications of the cardiomyopathies have been published by American Heart Association, European Society of Cardiology and Japanese Circulation Society.

  6. Update on diabetes classification. (United States)

    Thomas, Celeste C; Philipson, Louis H


    This article highlights the difficulties in creating a definitive classification of diabetes mellitus in the absence of a complete understanding of the pathogenesis of the major forms. This brief review shows the evolving nature of the classification of diabetes mellitus. No classification scheme is ideal, and all have some overlap and inconsistencies. The only diabetes in which it is possible to accurately diagnose by DNA sequencing, monogenic diabetes, remains undiagnosed in more than 90% of the individuals who have diabetes caused by one of the known gene mutations. The point of classification, or taxonomy, of disease, should be to give insight into both pathogenesis and treatment. It remains a source of frustration that all schemes of diabetes mellitus continue to fall short of this goal. Copyright © 2015 Elsevier Inc. All rights reserved.

  7. Classification in Medical Imaging

    DEFF Research Database (Denmark)

    Chen, Chen

    detection in a cardiovascular disease study. The third focus is to deepen the understanding of classification mechanism by visualizing the knowledge learned by a classifier. More specifically, to build the most typical patterns recognized by the Fisher's linear discriminant rule with applications......Classification is extensively used in the context of medical image analysis for the purpose of diagnosis or prognosis. In order to classify image content correctly, one needs to extract efficient features with discriminative properties and build classifiers based on these features. In addition......, a good metric is required to measure distance or similarity between feature points so that the classification becomes feasible. Furthermore, in order to build a successful classifier, one needs to deeply understand how classifiers work. This thesis focuses on these three aspects of classification...

  8. Pitch Based Sound Classification

    DEFF Research Database (Denmark)

    Nielsen, Andreas Brinch; Hansen, Lars Kai; Kjems, U


    -max output function. Both linear and quadratic inputs are used. The model is trained on 2 hours of sound and tested on publicly available data. A test classification error below 0.05 with 1 s classification windows is achieved. Further more it is shown that linear input performs as well as a quadratic......A sound classification model is presented that can classify signals into music, noise and speech. The model extracts the pitch of the signal using the harmonic product spectrum. Based on the pitch estimate and a pitch error measure, features are created and used in a probabilistic model with soft......, and that even though classification gets marginally better, not much is achieved by increasing the window size beyond 1 s....

  9. Learning Apache Mahout classification

    CERN Document Server

    Gupta, Ashish


    If you are a data scientist who has some experience with the Hadoop ecosystem and machine learning methods and want to try out classification on large datasets using Mahout, this book is ideal for you. Knowledge of Java is essential.

  10. Hand eczema classification

    DEFF Research Database (Denmark)

    Diepgen, T L; Andersen, Klaus Ejner; Brandao, F M


    Summary Background Hand eczema is a long-lasting disease with a high prevalence in the background population. The disease has severe, negative effects on quality of life and sometimes on social status. Epidemiological studies have identified risk factors for onset and prognosis, but treatment...... of the disease is rarely evidence based, and a classification system for different subdiagnoses of hand eczema is not agreed upon. Randomized controlled trials investigating the treatment of hand eczema are called for. For this, as well as for clinical purposes, a generally accepted classification system...... A classification system for hand eczema is proposed. Conclusions It is suggested that this classification be used in clinical work and in clinical trials....

  11. Cirrhosis Classification Based on Texture Classification of Random Features

    Directory of Open Access Journals (Sweden)

    Hui Liu


    Full Text Available Accurate staging of hepatic cirrhosis is important in investigating the cause and slowing down the effects of cirrhosis. Computer-aided diagnosis (CAD can provide doctors with an alternative second opinion and assist them to make a specific treatment with accurate cirrhosis stage. MRI has many advantages, including high resolution for soft tissue, no radiation, and multiparameters imaging modalities. So in this paper, multisequences MRIs, including T1-weighted, T2-weighted, arterial, portal venous, and equilibrium phase, are applied. However, CAD does not meet the clinical needs of cirrhosis and few researchers are concerned with it at present. Cirrhosis is characterized by the presence of widespread fibrosis and regenerative nodules in the hepatic, leading to different texture patterns of different stages. So, extracting texture feature is the primary task. Compared with typical gray level cooccurrence matrix (GLCM features, texture classification from random features provides an effective way, and we adopt it and propose CCTCRF for triple classification (normal, early, and middle and advanced stage. CCTCRF does not need strong assumptions except the sparse character of image, contains sufficient texture information, includes concise and effective process, and makes case decision with high accuracy. Experimental results also illustrate the satisfying performance and they are also compared with typical NN with GLCM.

  12. Simple Fully Automated Group Classification on Brain fMRI

    Energy Technology Data Exchange (ETDEWEB)

    Honorio, J.; Goldstein, R.; Honorio, J.; Samaras, D.; Tomasi, D.; Goldstein, R.Z.


    We propose a simple, well grounded classification technique which is suited for group classification on brain fMRI data sets that have high dimensionality, small number of subjects, high noise level, high subject variability, imperfect registration and capture subtle cognitive effects. We propose threshold-split region as a new feature selection method and majority voteas the classification technique. Our method does not require a predefined set of regions of interest. We use average acros ssessions, only one feature perexperimental condition, feature independence assumption, and simple classifiers. The seeming counter-intuitive approach of using a simple design is supported by signal processing and statistical theory. Experimental results in two block design data sets that capture brain function under distinct monetary rewards for cocaine addicted and control subjects, show that our method exhibits increased generalization accuracy compared to commonly used feature selection and classification techniques.

  13. Classification of normal sagittal spine alignment: refounding the Roussouly classification. (United States)

    Laouissat, Féthi; Sebaaly, Amer; Gehrchen, Martin; Roussouly, Pierre


    Although the Roussouly classification of common variants in spinal sagittal alignment is well accepted, no studies have implemented it in an asymptomatic adult population. In addition, no study investigated the radiographic features of asymptomatic patients with an anteverted pelvis. The aim of this prospective radiographic study of 296 asymptomatic adults without spinal pathology was to investigate how the Roussouly classification could include the anteverted pelvis concept. Pelvic incidence (PI), sacral slope (SS), pelvic tilt (PT), and the lumbar parameters lumbar lordosis (Global LL), lordosis tilt angle (LTA), total number of lordotic vertebra (LL verteb), and C7 plumbline/sacrofemoral distance ratio (C7PL ratio) were evaluated in 296 healthy volunteers (126 males, 170 females; mean age, 27 years; range 18-48 years). Comparison between the five types of the Roussouly classification used Student, ANOVA, and Tukey tests for quantitative variables and χ (2), Fischer, and Holm tests for qualitative variables. Mean PI and PT were, respectively, (39°, 10°) for type 1, (41°, 10°) for type 2, (53°, 13°) for type 3, and (62°, 12°) for type 4 (p  35°. PT was low or negative (mean 4° ± 3°). C7PL ratio was >1 (in front of the hip axis) in 13% of all cases, and between 0 and 1 (between sacrum and hip axis) in 49%. Although asymptomatic adults stood with stable global balance, the sagittal spinal alignment of healthy subjects, newly divided in 5 sagittal types, varied significantly. Type 3 AP appears as a new and unusual sagittal shape with low-grade PI, very low or negative PT, and hyperlordosis. Whereas most asymptomatic adults stood with C7PL behind the hip axis, a sizeable portion had C7 in front of the hip axis. This could be a new controversial aspect of ideal spinal balance.

  14. Expected Classification Accuracy

    Directory of Open Access Journals (Sweden)

    Lawrence M. Rudner


    Full Text Available Every time we make a classification based on a test score, we should expect some number..of misclassifications. Some examinees whose true ability is within a score range will have..observed scores outside of that range. A procedure for providing a classification table of..true and expected scores is developed for polytomously scored items under item response..theory and applied to state assessment data. A simplified procedure for estimating the..table entries is also presented.

  15. Latent classification models

    DEFF Research Database (Denmark)

    Langseth, Helge; Nielsen, Thomas Dyhre


    parametric family ofdistributions.  In this paper we propose a new set of models forclassification in continuous domains, termed latent classificationmodels. The latent classification model can roughly be seen ascombining the \\NB model with a mixture of factor analyzers,thereby relaxing the assumptions...... classification model, and wedemonstrate empirically that the accuracy of the proposed model issignificantly higher than the accuracy of other probabilisticclassifiers....

  16. Snake classification from images


    James, Alex.


    Incorrect snake identification from the observable visual traits is a major reason of death resulting from snake bites. So far no automatic classification method has been proposed to distinguish snakes by deciphering the taxonomy features of snake for the two major species of snakes i.e. Elapidae and Viperidae. We present a parallel processed inter-feature product similarity fusion based automatic classification of Spectacled Cobra, Russel's Viper, King Cobra, Common Krait, Saw Scaled Viper, ...

  17. To name or not to name: Criteria to promote economy of change in Linnaean classification schemes. (United States)

    Vences, Miguel; Guayasamin, Juan M; Miralles, Aurélien; De la Riva, Ignacio


    The Linnaean classification system provides the universal reference system for communicating about the diversity of life and its hierarchic history. Several limitations that challenge the stability of this system have been identified and, as a result, alternative systems have been proposed since its early inception. The revolution caused by molecular phylogenetics has, more than ever, exemplified that Linnaean classification schemes are subject to a degree of instability that may hamper their significance and communication power. Our analysis of recent changes in the classification of several groups of organisms, with a focus on amphibians and reptiles, reveals two main sources of instability: (i) revisionary, objective (empirical) changes based on the discovery of unambiguous instances of non-monophyly and on progress in the Globe’s species inventory, and (ii) subjective changes based on author preferences or on a poor analysis of the advantages and limitations of new classification schemes. To avoid subjective taxonomic instability, we review and elaborate proposals for the assignment of Linnaean rank to clades, and thereby for the naming of these clades as Linnaean taxa (Taxon Naming Criteria: TNCs). These are drafted from the perspective of practicing taxonomists and can help choosing among alternative monophyly-based classifications under a premise of economy of change. We provide a rationale for each TNC along with real and theoretical examples to illustrate their practical advantages and disadvantages. We conclude that not all TNCs lead to equally informative and stable taxonomies. Therefore, we order the various TNCs by the generality of their implications and provide a workflow scheme to guide the procedure of taxonomic decisions concerning the creation or modification of supraspecific classifications. The following criteria are considered primary when naming taxa: (i) Mono phyly of the taxon in an inferred species tree; (ii) Clade Stability, i.e., the

  18. Detection of primary RGB colors projected on a screen using fNIRS

    Directory of Open Access Journals (Sweden)

    Xiaolong Liu


    Full Text Available In this study, functional near-infrared spectroscopy (fNIRS is utilized to measure the hemodynamic responses (HRs in the visual cortex of 14 subjects (aged 22–34 years viewing the primary red, green, and blue (RGB colors displayed on a white screen by a beam projector. The spatiotemporal characteristics of their oxygenated and deoxygenated hemoglobins (HbO and HbR in the visual cortex are measured using a 15-source and 15-detector optode configuration. To see whether the activation maps upon RGB-color stimuli can be distinguished or not, the t-values of individual channels are averaged over 14 subjects. To find the best combination of two features for classification, the HRs of activated channels are averaged over nine trials. The HbO mean, peak, slope, skewness and kurtosis values during 2–7s window for a given 10s stimulation period are analyzed. Finally, the linear discriminant analysis (LDA for classifying three classes is applied. Individually, the best classification accuracy obtained with slope-skewness features was 74.07% (Subject 1, whereas the best overall over 14 subjects was 55.29% with peak-skewness combination. Noting that the chance level of 3-class classification is 33.33%, it can be said that RGB colors can be distinguished. The overall results reveal that fNIRS can be used for monitoring purposes of the HR patterns in the human visual cortex.

  19. A New Classification Approach Based on Multiple Classification Rules


    Zhongmei Zhou


    A good classifier can correctly predict new data for which the class label is unknown, so it is important to construct a high accuracy classifier. Hence, classification techniques are much useful in ubiquitous computing. Associative classification achieves higher classification accuracy than some traditional rule-based classification approaches. However, the approach also has two major deficiencies. First, it generates a very large number of association classification rules, especially when t...

  20. Comment on “An algorithm for identification and classification of individuals with type 1 and type 2 diabetes mellitus in a large primary care database”, written by Sharma et al

    Directory of Open Access Journals (Sweden)

    Bocquet V


    Full Text Available Valéry Bocquet Competence Center for Methodology and Statistics, Luxembourg Institute of Health, LuxembourgDiabetes is a disease whose global prevalence has been rising year after year, and by 2014 more than 400 million individuals were diagnosed with diabetes.1 As a consequence, screening of patients with type 1 or type 2 diabetes has become important, both to estimate the prevalence of diabetes and to treat affected individuals. For that purpose, a two-step algorithm suggested by Sharma et al2 was recently published, whose aims were to identify type 1 or type 2 individuals from a primary care database. The first step of the algorithm was based on the diagnostic records, treatment given, and results obtained from clinical tests. The second part was based on the combination of diagnostic codes, prescribed medications, age at the time of diagnosis, and finally whether the case was prevalent or incident.View original paper by Sharma et al

  1. Primary Teacher Education in Malaysia (United States)

    Ching, Chin Phoi; Yee, Chin Peng


    In Malaysia the training of primary school teachers is solely carried out by teacher training institutes which offer the Bachelor of Teaching with Honors (Primary education) program and was first launched in 2007. This program prepares primary school teachers specializing in various subjects or major and is carried out in 27 teacher training…

  2. Megaureter: classification, pathophysiology, and management. (United States)

    Simoni, F; Vino, L; Pizzini, C; Benini, D; Fanos, V


    The term megaureter does not define a specific pathological condition, because it can be due to different underlying abnormalities. The most used classification includes three groups: refluxing megaureter, associated with vesicoureteral reflux (VUR); obstructive megaureter, associated with urine flow impairment at the vesicoureteral junction; non-refluxing non-obstructive megaureter, if neither obstruction nor reflux can be identified. Each group can be divided into two subgroups: primary megaureter; secondary megaureter. With the advent of antenatal ultrasound an increased number of cases are identified prior to the onset of symptoms. The common used investigation are: urinary tract ultrasound, voiding cystourethrography, urography, serial diuretic renography and pressure-perfusion studies (Whitaker test). The advent of prenatal and neonatal echography has modified the natural history of megaureter. Nowadays non operative management is preferred. Operative intervention is indicated only in these cases: significant impairment to urine flow; worsening renal function during the observation time; recurrent UTI in spite of adequate antibiotic prophylaxis.

  3. Iris Image Classification Based on Hierarchical Visual Codebook. (United States)

    Zhenan Sun; Hui Zhang; Tieniu Tan; Jianyu Wang


    Iris recognition as a reliable method for personal identification has been well-studied with the objective to assign the class label of each iris image to a unique subject. In contrast, iris image classification aims to classify an iris image to an application specific category, e.g., iris liveness detection (classification of genuine and fake iris images), race classification (e.g., classification of iris images of Asian and non-Asian subjects), coarse-to-fine iris identification (classification of all iris images in the central database into multiple categories). This paper proposes a general framework for iris image classification based on texture analysis. A novel texture pattern representation method called Hierarchical Visual Codebook (HVC) is proposed to encode the texture primitives of iris images. The proposed HVC method is an integration of two existing Bag-of-Words models, namely Vocabulary Tree (VT), and Locality-constrained Linear Coding (LLC). The HVC adopts a coarse-to-fine visual coding strategy and takes advantages of both VT and LLC for accurate and sparse representation of iris texture. Extensive experimental results demonstrate that the proposed iris image classification method achieves state-of-the-art performance for iris liveness detection, race classification, and coarse-to-fine iris identification. A comprehensive fake iris image database simulating four types of iris spoof attacks is developed as the benchmark for research of iris liveness detection.

  4. Classification of fMRI independent components using IC-fingerprints and support vector machine classifiers. (United States)

    De Martino, Federico; Gentile, Francesco; Esposito, Fabrizio; Balsi, Marco; Di Salle, Francesco; Goebel, Rainer; Formisano, Elia


    We present a general method for the classification of independent components (ICs) extracted from functional MRI (fMRI) data sets. The method consists of two steps. In the first step, each fMRI-IC is associated with an IC-fingerprint, i.e., a representation of the component in a multidimensional space of parameters. These parameters are post hoc estimates of global properties of the ICs and are largely independent of a specific experimental design and stimulus timing. In the second step a machine learning algorithm automatically separates the IC-fingerprints into six general classes after preliminary training performed on a small subset of expert-labeled components. We illustrate this approach in a multisubject fMRI study employing visual structure-from-motion stimuli encoding faces and control random shapes. We show that: (1) IC-fingerprints are a valuable tool for the inspection, characterization and selection of fMRI-ICs and (2) automatic classifications of fMRI-ICs in new subjects present a high correspondence with those obtained by expert visual inspection of the components. Importantly, our classification procedure highlights several neurophysiologically interesting processes. The most intriguing of which is reflected, with high intra- and inter-subject reproducibility, in one IC exhibiting a transiently task-related activation in the 'face' region of the primary sensorimotor cortex. This suggests that in addition to or as part of the mirror system, somatotopic regions of the sensorimotor cortex are involved in disambiguating the perception of a moving body part. Finally, we show that the same classification algorithm can be successfully applied, without re-training, to fMRI collected using acquisition parameters, stimulation modality and timing considerably different from those used for training.

  5. Graph Theory-Based Brain Connectivity for Automatic Classification of Multiple Sclerosis Clinical Courses

    Directory of Open Access Journals (Sweden)

    Gabriel Kocevar


    Full Text Available Purpose: In this work, we introduce a method to classify Multiple Sclerosis (MS patients into four clinical profiles using structural connectivity information. For the first time, we try to solve this question in a fully automated way using a computer-based method. The main goal is to show how the combination of graph-derived metrics with machine learning techniques constitutes a powerful tool for a better characterization and classification of MS clinical profiles.Materials and methods: Sixty-four MS patients (12 Clinical Isolated Syndrome (CIS, 24 Relapsing Remitting (RR, 24 Secondary Progressive (SP, and 17 Primary Progressive (PP along with 26 healthy controls (HC underwent MR examination. T1 and diffusion tensor imaging (DTI were used to obtain structural connectivity matrices for each subject. Global graph metrics, such as density and modularity, were estimated and compared between subjects’ groups. These metrics were further used to classify patients using tuned Support Vector Machine (SVM combined with Radial Basic Function (RBF kernel.Results: When comparing MS patients to HC subjects, a greater assortativity, transitivity and characteristic path length as well as a lower global efficiency were found. Using all graph metrics, the best F-Measures (91.8%, 91.8%, 75.6% and 70.6% were obtained for binary (HC-CIS, CIS-RR, RR-PP and multi-class (CIS-RR-SP classification tasks, respectively. When using only one graph metric, the best F-Measures (83.6%, 88.9% and 70.7% were achieved for modularity with previous binary classification tasks.Conclusion: Based on a simple DTI acquisition associated with structural brain connectivity analysis, this automatic method allowed an accurate classification of different MS patients’ clinical profiles.

  6. Chronic migraine--classification, characteristics and treatment

    DEFF Research Database (Denmark)

    Diener, Hans-Christoph; Dodick, David W; Goadsby, Peter J


    According to the revised 2nd Edition of the International Classification of Headache Disorders, primary headaches can be categorized as chronic or episodic; chronic migraine is defined as headaches in the absence of medication overuse, occurring on =15 days per month for =3 months, of which...... that conventional preventive therapy for episodic migraine may also be useful. This Review discusses the evolution of our understanding of chronic migraine, including its epidemiology, pathophysiology, clinical characteristics and treatment options....

  7. [Primary carcinoma of the gallbladder]. (United States)

    Ghilardi, G; Bortolani, E M; Sgroi, G; Pecis, C


    Primary carcinoma of the gallbladder, while infrequent, is the most representative among the malignant neoplasms of the biliary tract. The diagnosis of carcinoma of the gallbladder was made in 22 out of 1252 operations performed for gallbladder disease (1.8%) since January 1980 through June 1988: only in 9% of the subjects a malignant tumor of the gallbladder was suspected preoperatively. In 21 cases the carcinoma was associated with chronic lithiasic cholecystitis. The 22 cases were assessed according to the classification proposed by Nevin. The operations performed were: 4 routine cholecystectomies (stages I and II) 4 cholecystectomies with lymphadenectomy (stages I and II); 4 cholecystectomies with lymphadenectomy and liver wedge resection of the bed of the gallbladder (stages II, III, IV, V); 7 explorative laparotomies and 3 gastrojejunal anastomoses (stage V). A complete follow-up was available for each of the 22 subjects: cumulative survival rates were calculated according to Kaplan-Meyer. The overall 5-year cumulative survival rate after operation was 19% for the whole group, whereas it reached 76% for the subgroup of 9 patients classified in stages I and II. This analysis reinforces the statement that surgical therapy can achieve excellent results if brought about before cancer overwhelms the muscular layer of the gallbladder wall. Thus, as the preoperative diagnosis of gallbladder carcinoma is extremely difficult and uncertain, any delay in performing cholecystectomy seems to be unwise in all those cases of chronic benign disease of the gallbladder (whether lithiasic in nature or not) that are suspected to be a major risk factor for cancer degeneration because of their frequent association with the carcinoma of the gallbladder.

  8. Halitosis: a new definition and classification. (United States)

    Aydin, M; Harvey-Woodworth, C N


    There is no universally accepted, precise definition, nor standardisation in terminology and classification of halitosis. To propose a new definition, free from subjective descriptions (faecal, fish odour, etc), one-time sulphide detector readings and organoleptic estimation of odour levels, and excludes temporary exogenous odours (for example, from dietary sources). Some terms previously used in the literature are revised. A new aetiologic classification is proposed, dividing pathologic halitosis into Type 1 (oral), Type 2 (airway), Type 3 (gastroesophageal), Type 4 (blood-borne) and Type 5 (subjective). In reality, any halitosis complaint is potentially the sum of these types in any combination, superimposed on the Type 0 (physiologic odour) present in health. This system allows for multiple diagnoses in the same patient, reflecting the multifactorial nature of the complaint. It represents the most accurate model to understand halitosis and forms an efficient and logical basis for clinical management of the complaint.

  9. Estimation and Q-Matrix Validation for Diagnostic Classification Models (United States)

    Feng, Yuling


    Diagnostic classification models (DCMs) are structured latent class models widely discussed in the field of psychometrics. They model subjects' underlying attribute patterns and classify subjects into unobservable groups based on their mastery of attributes required to answer the items correctly. The effective implementation of DCMs depends…

  10. Classification in postural style based on stochastic process modeling. (United States)

    Denis, Christophe


    We address the statistical challenge of classifying subjects as hemiplegic, vestibular or normal based on complex trajectories obtained through two experimental protocols designed to evaluate potential deficits in postural control. The classification procedure involves a dimension reduction step where the complex trajectories are summarized by finite-dimensional summary measures based on a stochastic process model for a real-valued trajectory. This allows us to retrieve from the trajectories information relative to their temporal dynamic. A leave-one-out evaluation yields a 79% performance of correct classification for a total of n=70 subjects, with 22 hemiplegic (31%), 16 vestibular (23%) and 32 normal (46%) subjects.

  11. Hyperspectral image classification based on NMF Features Selection Method (United States)

    Abe, Bolanle T.; Jordaan, J. A.


    Hyperspectral instruments are capable of collecting hundreds of images corresponding to wavelength channels for the same area on the earth surface. Due to the huge number of features (bands) in hyperspectral imagery, land cover classification procedures are computationally expensive and pose a problem known as the curse of dimensionality. In addition, higher correlation among contiguous bands increases the redundancy within the bands. Hence, dimension reduction of hyperspectral data is very crucial so as to obtain good classification accuracy results. This paper presents a new feature selection technique. Non-negative Matrix Factorization (NMF) algorithm is proposed to obtain reduced relevant features in the input domain of each class label. This aimed to reduce classification error and dimensionality of classification challenges. Indiana pines of the Northwest Indiana dataset is used to evaluate the performance of the proposed method through experiments of features selection and classification. The Waikato Environment for Knowledge Analysis (WEKA) data mining framework is selected as a tool to implement the classification using Support Vector Machines and Neural Network. The selected features subsets are subjected to land cover classification to investigate the performance of the classifiers and how the features size affects classification accuracy. Results obtained shows that performances of the classifiers are significant. The study makes a positive contribution to the problems of hyperspectral imagery by exploring NMF, SVMs and NN to improve classification accuracy. The performances of the classifiers are valuable for decision maker to consider tradeoffs in method accuracy versus method complexity.

  12. Classification of hand eczema

    DEFF Research Database (Denmark)

    Agner, T; Aalto-Korte, K; Andersen, K E


    BACKGROUND: Classification of hand eczema (HE) is mandatory in epidemiological and clinical studies, and also important in clinical work. OBJECTIVES: The aim was to test a recently proposed classification system of HE in clinical practice in a prospective multicentre study. METHODS: Patients were...... HE, protein contact dermatitis/contact urticaria, hyperkeratotic endogenous eczema and vesicular endogenous eczema, respectively. An additional diagnosis was given if symptoms indicated that factors additional to the main diagnosis were of importance for the disease. RESULTS: Four hundred and twenty......%) could not be classified. 38% had one additional diagnosis and 26% had two or more additional diagnoses. Eczema on feet was found in 30% of the patients, statistically significantly more frequently associated with hyperkeratotic and vesicular endogenous eczema. CONCLUSION: We find that the classification...

  13. Medical imbalanced data classification

    Directory of Open Access Journals (Sweden)

    Sara Belarouci


    Full Text Available In general, the imbalanced dataset is a problem often found in health applications. In medical data classification, we often face the imbalanced number of data samples where at least one of the classes constitutes only a very small minority of the data. In the same time, it represent a difficult problem in most of machine learning algorithms. There have been many works dealing with classification of imbalanced dataset. In this paper, we proposed a learning method based on a cost sensitive extension of Least Mean Square (LMS algorithm that penalizes errors of different samples with different weights and some rules of thumb to determine those weights. After the balancing phase, we apply the different techniques (Support Vector Machine [SVM], K- Nearest Neighbor [K-NN] and Multilayer perceptron [MLP] for the balanced datasets. We have also compared the obtained results before and after balancing method. We have obtained best results compared to literature with a classification accuracy of 100%.

  14. Acoustic classification of dwellings

    DEFF Research Database (Denmark)

    Berardi, Umberto; Rasmussen, Birgit


    insulation performance, national schemes for sound classification of dwellings have been developed in several European countries. These schemes define acoustic classes according to different levels of sound insulation. Due to the lack of coordination among countries, a significant diversity in terms...... of descriptors, number of classes, and class intervals occurred between national schemes. However, a proposal “acoustic classification scheme for dwellings” has been developed recently in the European COST Action TU0901 with 32 member countries. This proposal has been accepted as an ISO work item. This paper...

  15. Rule-guided human classification of Volunteered Geographic Information (United States)

    Ali, Ahmed Loai; Falomir, Zoe; Schmid, Falko; Freksa, Christian


    During the last decade, web technologies and location sensing devices have evolved generating a form of crowdsourcing known as Volunteered Geographic Information (VGI). VGI acted as a platform of spatial data collection, in particular, when a group of public participants are involved in collaborative mapping activities: they work together to collect, share, and use information about geographic features. VGI exploits participants' local knowledge to produce rich data sources. However, the resulting data inherits problematic data classification. In VGI projects, the challenges of data classification are due to the following: (i) data is likely prone to subjective classification, (ii) remote contributions and flexible contribution mechanisms in most projects, and (iii) the uncertainty of spatial data and non-strict definitions of geographic features. These factors lead to various forms of problematic classification: inconsistent, incomplete, and imprecise data classification. This research addresses classification appropriateness. Whether the classification of an entity is appropriate or inappropriate is related to quantitative and/or qualitative observations. Small differences between observations may be not recognizable particularly for non-expert participants. Hence, in this paper, the problem is tackled by developing a rule-guided classification approach. This approach exploits data mining techniques of Association Classification (AC) to extract descriptive (qualitative) rules of specific geographic features. The rules are extracted based on the investigation of qualitative topological relations between target features and their context. Afterwards, the extracted rules are used to develop a recommendation system able to guide participants to the most appropriate classification. The approach proposes two scenarios to guide participants towards enhancing the quality of data classification. An empirical study is conducted to investigate the classification of grass

  16. The paradox of atheoretical classification

    DEFF Research Database (Denmark)

    Hjørland, Birger


    A distinction can be made between “artificial classifications” and “natural classifications,” where artificial classifications may adequately serve some limited purposes, but natural classifications are overall most fruitful by allowing inference and thus many different purposes. There is strong...... support for the view that a natural classification should be based on a theory (and, of course, that the most fruitful theory provides the most fruitful classification). Nevertheless, atheoretical (or “descriptive”) classifications are often produced. Paradoxically, atheoretical classifications may...... be very successful. The best example of a successful “atheoretical” classification is probably the prestigious Diagnostic and Statistical Manual of Mental Disorders (DSM) since its third edition from 1980. Based on such successes one may ask: Should the claim that classifications ideally are natural...

  17. Information gathering for CLP classification

    Directory of Open Access Journals (Sweden)

    Ida Marcello


    Full Text Available Regulation 1272/2008 includes provisions for two types of classification: harmonised classification and self-classification. The harmonised classification of substances is decided at Community level and a list of harmonised classifications is included in the Annex VI of the classification, labelling and packaging Regulation (CLP. If a chemical substance is not included in the harmonised classification list it must be self-classified, based on available information, according to the requirements of Annex I of the CLP Regulation. CLP appoints that the harmonised classification will be performed for carcinogenic, mutagenic or toxic to reproduction substances (CMR substances and for respiratory sensitisers category 1 and for other hazard classes on a case-by-case basis. The first step of classification is the gathering of available and relevant information. This paper presents the procedure for gathering information and to obtain data. The data quality is also discussed.

  18. DTI measurements for Alzheimer’s classification (United States)

    Maggipinto, Tommaso; Bellotti, Roberto; Amoroso, Nicola; Diacono, Domenico; Donvito, Giacinto; Lella, Eufemia; Monaco, Alfonso; Antonella Scelsi, Marzia; Tangaro, Sabina; Disease Neuroimaging Initiative, Alzheimer's.


    Diffusion tensor imaging (DTI) is a promising imaging technique that provides insight into white matter microstructure integrity and it has greatly helped identifying white matter regions affected by Alzheimer’s disease (AD) in its early stages. DTI can therefore be a valuable source of information when designing machine-learning strategies to discriminate between healthy control (HC) subjects, AD patients and subjects with mild cognitive impairment (MCI). Nonetheless, several studies have reported so far conflicting results, especially because of the adoption of biased feature selection strategies. In this paper we firstly analyzed DTI scans of 150 subjects from the Alzheimer’s disease neuroimaging initiative (ADNI) database. We measured a significant effect of the feature selection bias on the classification performance (p-value  <  0.01), leading to overoptimistic results (10% up to 30% relative increase in AUC). We observed that this effect is manifest regardless of the choice of diffusion index, specifically fractional anisotropy and mean diffusivity. Secondly, we performed a test on an independent mixed cohort consisting of 119 ADNI scans; thus, we evaluated the informative content provided by DTI measurements for AD classification. Classification performances and biological insight, concerning brain regions related to the disease, provided by cross-validation analysis were both confirmed on the independent test.

  19. Single-trial EEG RSVP classification using convolutional neural networks (United States)

    Shamwell, Jared; Lee, Hyungtae; Kwon, Heesung; Marathe, Amar R.; Lawhern, Vernon; Nothwang, William


    Traditionally, Brain-Computer Interfaces (BCI) have been explored as a means to return function to paralyzed or otherwise debilitated individuals. An emerging use for BCIs is in human-autonomy sensor fusion where physiological data from healthy subjects is combined with machine-generated information to enhance the capabilities of artificial systems. While human-autonomy fusion of physiological data and computer vision have been shown to improve classification during visual search tasks, to date these approaches have relied on separately trained classification models for each modality. We aim to improve human-autonomy classification performance by developing a single framework that builds codependent models of human electroencephalograph (EEG) and image data to generate fused target estimates. As a first step, we developed a novel convolutional neural network (CNN) architecture and applied it to EEG recordings of subjects classifying target and non-target image presentations during a rapid serial visual presentation (RSVP) image triage task. The low signal-to-noise ratio (SNR) of EEG inherently limits the accuracy of single-trial classification and when combined with the high dimensionality of EEG recordings, extremely large training sets are needed to prevent overfitting and achieve accurate classification from raw EEG data. This paper explores a new deep CNN architecture for generalized multi-class, single-trial EEG classification across subjects. We compare classification performance from the generalized CNN architecture trained across all subjects to the individualized XDAWN, HDCA, and CSP neural classifiers which are trained and tested on single subjects. Preliminary results show that our CNN meets and slightly exceeds the performance of the other classifiers despite being trained across subjects.

  20. Robust multi-site MR data processing: iterative optimization of bias correction, tissue classification, and registration. (United States)

    Young Kim, Eun; Johnson, Hans J


    A robust multi-modal tool, for automated registration, bias correction, and tissue classification, has been implemented for large-scale heterogeneous multi-site longitudinal MR data analysis. This work focused on improving the an iterative optimization framework between bias-correction, registration, and tissue classification inspired from previous work. The primary contributions are robustness improvements from incorporation of following four elements: (1) utilize multi-modal and repeated scans, (2) incorporate high-deformable registration, (3) use extended set of tissue definitions, and (4) use of multi-modal aware intensity-context priors. The benefits of these enhancements were investigated by a series of experiments with both simulated brain data set (BrainWeb) and by applying to highly-heterogeneous data from a 32 site imaging study with quality assessments through the expert visual inspection. The implementation of this tool is tailored for, but not limited to, large-scale data processing with great data variation with a flexible interface. In this paper, we describe enhancements to a joint registration, bias correction, and the tissue classification, that improve the generalizability and robustness for processing multi-modal longitudinal MR scans collected at multi-sites. The tool was evaluated by using both simulated and simulated and human subject MRI images. With these enhancements, the results showed improved robustness for large-scale heterogeneous MRI processing.

  1. Syphilis - primary (United States)

    ... their newborn (congenital syphilis). Syphilis has three stages: Primary syphilis Secondary syphilis Tertiary syphilis (the late phase ... screening, and treatment. Symptoms The incubation period for primary syphilis is 14 to 21 days. Symptoms of ...

  2. Automatic classification of blank substrate defects (United States)

    Boettiger, Tom; Buck, Peter; Paninjath, Sankaranarayanan; Pereira, Mark; Ronald, Rob; Rost, Dan; Samir, Bhamidipati


    Mask preparation stages are crucial in mask manufacturing, since this mask is to later act as a template for considerable number of dies on wafer. Defects on the initial blank substrate, and subsequent cleaned and coated substrates, can have a profound impact on the usability of the finished mask. This emphasizes the need for early and accurate identification of blank substrate defects and the risk they pose to the patterned reticle. While Automatic Defect Classification (ADC) is a well-developed technology for inspection and analysis of defects on patterned wafers and masks in the semiconductors industry, ADC for mask blanks is still in the early stages of adoption and development. Calibre ADC is a powerful analysis tool for fast, accurate, consistent and automatic classification of defects on mask blanks. Accurate, automated classification of mask blanks leads to better usability of blanks by enabling defect avoidance technologies during mask writing. Detailed information on blank defects can help to select appropriate job-decks to be written on the mask by defect avoidance tools [1][4][5]. Smart algorithms separate critical defects from the potentially large number of non-critical defects or false defects detected at various stages during mask blank preparation. Mechanisms used by Calibre ADC to identify and characterize defects include defect location and size, signal polarity (dark, bright) in both transmitted and reflected review images, distinguishing defect signals from background noise in defect images. The Calibre ADC engine then uses a decision tree to translate this information into a defect classification code. Using this automated process improves classification accuracy, repeatability and speed, while avoiding the subjectivity of human judgment compared to the alternative of manual defect classification by trained personnel [2]. This paper focuses on the results from the evaluation of Automatic Defect Classification (ADC) product at MP Mask

  3. Full-motion video analysis for improved gender classification (United States)

    Flora, Jeffrey B.; Lochtefeld, Darrell F.; Iftekharuddin, Khan M.


    The ability of computer systems to perform gender classification using the dynamic motion of the human subject has important applications in medicine, human factors, and human-computer interface systems. Previous works in motion analysis have used data from sensors (including gyroscopes, accelerometers, and force plates), radar signatures, and video. However, full-motion video, motion capture, range data provides a higher resolution time and spatial dataset for the analysis of dynamic motion. Works using motion capture data have been limited by small datasets in a controlled environment. In this paper, we explore machine learning techniques to a new dataset that has a larger number of subjects. Additionally, these subjects move unrestricted through a capture volume, representing a more realistic, less controlled environment. We conclude that existing linear classification methods are insufficient for the gender classification for larger dataset captured in relatively uncontrolled environment. A method based on a nonlinear support vector machine classifier is proposed to obtain gender classification for the larger dataset. In experimental testing with a dataset consisting of 98 trials (49 subjects, 2 trials per subject), classification rates using leave-one-out cross-validation are improved from 73% using linear discriminant analysis to 88% using the nonlinear support vector machine classifier.

  4. Improving Student Question Classification (United States)

    Heiner, Cecily; Zachary, Joseph L.


    Students in introductory programming classes often articulate their questions and information needs incompletely. Consequently, the automatic classification of student questions to provide automated tutorial responses is a challenging problem. This paper analyzes 411 questions from an introductory Java programming course by reducing the natural…

  5. Ecosystem classification, Chapter 2 (United States)

    M.J. Robin-Abbott; L.H. Pardo


    The ecosystem classification in this report is based on the ecoregions developed through the Commission for Environmental Cooperation (CEC) for North America (CEC 1997). Only ecosystems that occur in the United States are included. CEC ecoregions are described, with slight modifications, below (CEC 1997) and shown in Figures 2.1 and 2.2. We chose this ecosystem...

  6. Bosniak classification system

    DEFF Research Database (Denmark)

    Graumann, Ole; Osther, Susanne Sloth; Karstoft, Jens


    BACKGROUND: The Bosniak classification was originally based on computed tomographic (CT) findings. Magnetic resonance (MR) and contrast-enhanced ultrasonography (CEUS) imaging may demonstrate findings that are not depicted at CT, and there may not always be a clear correlation between the finding...

  7. Bosniak classification system

    DEFF Research Database (Denmark)

    Graumann, Ole; Osther, Susanne S; Karstoft, Jens


    BACKGROUND: The Bosniak classification is a diagnostic tool for the differentiation of cystic changes in the kidney. The process of categorizing renal cysts may be challenging, involving a series of decisions that may affect the final diagnosis and clinical outcome such as surgical management. PU...

  8. Equivalent Diagnostic Classification Models (United States)

    Maris, Gunter; Bechger, Timo


    Rupp and Templin (2008) do a good job at describing the ever expanding landscape of Diagnostic Classification Models (DCM). In many ways, their review article clearly points to some of the questions that need to be answered before DCMs can become part of the psychometric practitioners toolkit. Apart from the issues mentioned in this article that…

  9. Classifications in popular music

    NARCIS (Netherlands)

    van Venrooij, A.; Schmutz, V.; Wright, J.D.


    The categorical system of popular music, such as genre categories, is a highly differentiated and dynamic classification system. In this article we present work that studies different aspects of these categorical systems in popular music. Following the work of Paul DiMaggio, we focus on four

  10. Dynamic Latent Classification Model

    DEFF Research Database (Denmark)

    Zhong, Shengtong; Martínez, Ana M.; Nielsen, Thomas Dyhre

    as possible. Motivated by this problem setting, we propose a generative model for dynamic classification in continuous domains. At each time point the model can be seen as combining a naive Bayes model with a mixture of factor analyzers (FA). The latent variables of the FA are used to capture the dynamics...

  11. Classification, confusion and misclassification

    African Journals Online (AJOL)

    It must have concerned human beings and animals since they first became aware. Classification is designed to assist understanding. The response to a phenomenon ... endometrial hyperplasia changed and was simplified to include two categories, compared with four previously: from with atypia and without (each of those ...

  12. Classification of waste packages

    Energy Technology Data Exchange (ETDEWEB)

    Mueller, H.P.; Sauer, M.; Rojahn, T. [Versuchsatomkraftwerk GmbH, Kahl am Main (Germany)


    A barrel gamma scanning unit has been in use at the VAK for the classification of radioactive waste materials since 1998. The unit provides the facility operator with the data required for classification of waste barrels. Once these data have been entered into the AVK data processing system, the radiological status of raw waste as well as pre-treated and processed waste can be tracked from the point of origin to the point at which the waste is delivered to a final storage. Since the barrel gamma scanning unit was commissioned in 1998, approximately 900 barrels have been measured and the relevant data required for classification collected and analyzed. Based on the positive results of experience in the use of the mobile barrel gamma scanning unit, the VAK now offers the classification of barrels as a service to external users. Depending upon waste quantity accumulation, this measurement unit offers facility operators a reliable and time-saving and cost-effective means of identifying and documenting the radioactivity inventory of barrels scheduled for final storage. (orig.)

  13. Shark Teeth Classification (United States)

    Brown, Tom; Creel, Sally; Lee, Velda


    On a recent autumn afternoon at Harmony Leland Elementary in Mableton, Georgia, students in a fifth-grade science class investigated the essential process of classification--the act of putting things into groups according to some common characteristics or attributes. While they may have honed these skills earlier in the week by grouping their own…

  14. Repulsive-SVDD Classification (United States)


    all abnormal data samples outside the hypersphere. This SVDD has been a successful approach to solving one-class problems such as outlier detection...Classification 279 is maximised, similar to the maximal margin philosophy of a support vector machine. A visualisation of RSVC is demonstrated in Fig

  15. Ontologies vs. Classification Systems

    DEFF Research Database (Denmark)

    Madsen, Bodil Nistrup; Erdman Thomsen, Hanne


    data sets or for obtaining advanced search facilities. In this paper we will present an attempt at answering these questions. We will give a presentation of various types of ontologies and briefly introduce terminological ontologies. Furthermore we will argue that classification systems, e.g. product...

  16. Sensibility and Subjectivity: Levinas’ Traumatic Subject

    Directory of Open Access Journals (Sweden)

    Rashmika Pandya


    Full Text Available The importance of Levinas’ notions of sensibility and subjectivity are evident in the revision of phenomenological method by current phenomenologists such as Jean-Luc Marion and Michel Henry. The criticisms of key tenants of classical phenomenology, intentionality and reduction, are of a particular note. However, there are problems with Levinas’ characterization of subjectivity as essentially sensible. In “Totality and Infinity” and “Otherwise than Being”, Levinas criticizes and recasts a traditional notion of subjectivity, particularly the notion of the subject as the first and foremost rational subject. The subject in Levinas’ works is characterized more by its sensibility and affectedness than by its capacity to reason or affect its world. Levinas ties rationality to economy and suggests an alternative notion of reason that leads to his analysis of the ethical relation as the face-to-face encounter. The ‘origin’ of the social relation is located not in our capacity to know but rather in a sensibility that is diametrically opposed to the reason understood as economy. I argue that the opposition in Levinas’ thought between reason and sensibility is problematic and essentially leads to a self-conflicted subject. In fact, it would seem that violence characterizes the subject’s self-relation and, thus, is also inscribed at the base of the social relation. Rather than overcoming a problematic tendency to dualistic thought in philosophy Levinas merely reverses traditional hierarchies of reason/emotion, subject/object and self/other. 

  17. Classification of routing and scheduling problems in liner shipping

    DEFF Research Database (Denmark)

    Hjortshøj Kjeldsen, Karina

    A classification scheme for routing and scheduling problems in liner shipping is developed and subsequently used to classify existing literature on the subject. Based on the classification the articles are grouped, and the main characteristics of each group and article are described. The grouping...... may serve as a catalyst towards developing a model or a group of models that covers the main problems within routing and scheduling in liner shipping....

  18. Differential Classification of Dementia

    Directory of Open Access Journals (Sweden)

    E. Mohr


    Full Text Available In the absence of biological markers, dementia classification remains complex both in terms of characterization as well as early detection of the presence or absence of dementing symptoms, particularly in diseases with possible secondary dementia. An empirical, statistical approach using neuropsychological measures was therefore developed to distinguish demented from non-demented patients and to identify differential patterns of cognitive dysfunction in neurodegenerative disease. Age-scaled neurobehavioral test results (Wechsler Adult Intelligence Scale—Revised and Wechsler Memory Scale from Alzheimer's (AD and Huntington's (HD patients, matched for intellectual disability, as well as normal controls were used to derive a classification formula. Stepwise discriminant analysis accurately (99% correct distinguished controls from demented patients, and separated the two patient groups (79% correct. Variables discriminating between HD and AD patient groups consisted of complex psychomotor tasks, visuospatial function, attention and memory. The reliability of the classification formula was demonstrated with a new, independent sample of AD and HD patients which yielded virtually identical results (classification accuracy for dementia: 96%; AD versus HD: 78%. To validate the formula, the discriminant function was applied to Parkinson's (PD patients, 38% of whom were classified as demented. The validity of the classification was demonstrated by significant PD subgroup differences on measures of dementia not included in the discriminant function. Moreover, a majority of demented PD patients (65% were classified as having an HD-like pattern of cognitive deficits, in line with previous reports of the subcortical nature of PD dementia. This approach may thus be useful in classifying presence or absence of dementia and in discriminating between dementia subtypes in cases of secondary or coincidental dementia.

  19. The theory and practice of the Dewey Decimal Classification system

    CERN Document Server

    Satija, M P


    The Dewey Decimal Classification system (DDC) is the world's most popular library classification system. The 23rd edition of the DDC was published in 2011. This second edition of The Theory and Practice of the Dewey Decimal Classification System examines the history, management and technical aspects of the DDC up to its latest edition. The book places emphasis on explaining the structure and number building techniques in the DDC and reviews all aspects of subject analysis and number building by the most recent version of the DDC. A history of, and introduction to, the DDC is followed by subjec

  20. An Ecological Diagnostic Classification Plan. (United States)

    Hurst, James C.; McKinley, Donna L.


    Discusses the value of diagnostic classification systems to counseling professionals. Describes the Ecological Diagnostic Classification Plan, an approach to diagnosis that includes the environment as a possible cause of pathology and target of intervention. (Author/KS)

  1. The future of general classification

    DEFF Research Database (Denmark)

    Mai, Jens Erik


    Discusses problems related to accessing multiple collections using a single retrieval language. Surveys the concepts of interoperability and switching language. Finds that mapping between more indexing languages always will be an approximation. Surveys the issues related to general classification...... and contrasts that to special classifications. Argues for the use of general classifications to provide access to collections nationally and internationally....

  2. New Atrophic Acne Scar Classification: Reliability of Assessments Based on Size, Shape, and Number. (United States)

    Kang, Sewon; Lozada, Vicente Torres; Bettoli, Vincenzo; Tan, Jerry; Rueda, Maria Jose; Layton, Alison; Petit, Lauren; Dréno, Brigitte


    Post-acne atrophic scarring is a major concern for which standardized outcome measures are needed. Traditionally, this type of scar has been classified based on shape; but survey of practicing dermatologists has shown that atrophic scar morphology has not been well enough defined to allow good agreement in clinical classification. Reliance on clinical assessment is still needed at the current time, since objective tools are not yet available in routine practice. Evaluate classification for atrophic acne scars by shape, size, and facial location and establish reliability in assessments. We conducted a non-interventional study with dermatologists performing live clinical assessments of atrophic acne scars. To objectively compare identification of lesions, individual lesions were marked on a high-resolution photo of the patient that was displayed on a computer during the clinical evaluation. The Jacob clinical classification system was used to define three primary shapes of scars 1) icepick, 2) boxcar, and 3) rolling. To determine agreement for classification by size, independent technicians assessed the investigators' markings on digital images. Identical localization of scars was denoted if the maximal distance between their centers was ≤ 60 pixels (approximately 3 mm). Raters assessed scars on the same patients twice (morning/afternoon). Aggregate models of rater assessments were created and analyzed for agreement. Raters counted a mean scar count per subject ranging from 15.75 to 40.25 scars. Approximately 50% of scars were identified by all raters and ~75% of scars were identified by at least 2 of 3 raters (weak agreement, Kappa pairwise agreement 0.30). Agreement between consecutive counts was moderate, with Kappa index ranging from 0.26 to 0.47 (after exclusion of one outlier investigator who had significantly higher counts than all others). Shape classifications of icepick, boxcar, and rolling differed significantly between raters and even for same raters at

  3. Subjetividade e clínica na atenção básica: narrativas, histórias de vida e realidade social Subjectivity and a clinical approach in primary healthcare: narratives, life histories and social reality

    Directory of Open Access Journals (Sweden)

    Rebeca Silva de Barros


    Full Text Available O foco deste artigo é o cuidado em saúde bucal na Atenção Básica. Esta é lugar potencial para geração de encontros e produção de subjetividade. Por isso, discutiremos o tema tomando como foco a relação da escuta-acolhimento-vínculo debatendo sobre a existência de dicotomia entre clínica-saúde coletiva. Esta pesquisa-intervenção realizou-se de julho a dezembro de 2007 no município de Cotia-SP, a partir dos pressupostos: 1 atendimento ao problema bucal relevante para o usuário; 2 descentramento dentário; 3 constituição do caso clínico por meio da anamnese e 4 integração com os serviços da unidade. A escuta da queixa, o exame clínico bucal e o levantamento da história clínica foram registrados no prontuário, sem o uso de odontograma. Para discussão de abordagens na clínica, relataremos 08 `Hestórias Patográficas'. Os objetivos da comunicação na consulta são acolher, promover o diagnóstico seguro e interferir na evolução do sofrimento do outro restabelecendo a homeostasia corporal e produzindo vínculo, com modificação de referenciais teóricos e da linguagem clínica. O vínculo é resultado do diálogo, da assunção de responsabilidades tanto do profissional quanto do usuário e da resolução das suas queixas e necessidades.The focus of this article is on oral healthcare in Primary Healthcare. We discuss the issue taking the relationship of listening-host-link as a focus debating on the existence of a dichotomy between clinical-collective health. This investigation, took place in Cotia, São Paulo State between July and December 2007, based on the following assumptions: 1 answer the user's relevant oral care problem; 2 remove the dental focus; 3 establish the case through anamnesis; and 4 use electronic scheduling, medical files and sterilization of the health unit. Listening to the complaint, the oral clinical examination and compilation of the clinic history were recorded in the medical file, without

  4. Primary explosives

    Energy Technology Data Exchange (ETDEWEB)

    Matyas, Robert; Pachman, Jiri [Pardubice Univ. (Czech Republic). Faculty of Chemical Technology


    The first chapter provides background such as the basics of initiation and differences between requirements on primary explosives used in detonators and igniters. The authors then clarify the influence of physical characteristics on explosive properties, focusing on those properties required for primary explosives. Furthermore, the issue of sensitivity is discussed. All the chapters on particular groups of primary explosives are structured in the same way, including introduction, physical and chemical properties, explosive properties, preparation and documented use.

  5. Sound classification of dwellings

    DEFF Research Database (Denmark)

    Rasmussen, Birgit


    National schemes for sound classification of dwellings exist in more than ten countries in Europe, typically published as national standards. The schemes define quality classes reflecting different levels of acoustical comfort. Main criteria concern airborne and impact sound insulation between...... dwellings, facade sound insulation and installation noise. The schemes have been developed, implemented and revised gradually since the early 1990s. However, due to lack of coordination between countries, there are significant discrepancies, and new standards and revisions continue to increase the diversity...... is needed, and a European COST Action TU0901 "Integrating and Harmonizing Sound Insulation Aspects in Sustainable Urban Housing Constructions", has been established and runs 2009-2013, one of the main objectives being to prepare a proposal for a European sound classification scheme with a number of quality...



    Natalia Romanova


    New types of criminal groups are emerging in modern society.  These types have their special criminal subculture. The research objective is to develop new parameters of classification of modern criminal groups, create a new typology of criminal groups and identify some features of their subculture. Research methodology is based on the system approach that includes using the method of analysis of documentary sources (materials of a criminal case), method of conversations with themembers of the...

  7. Classification and regression trees

    CERN Document Server

    Breiman, Leo; Olshen, Richard A; Stone, Charles J


    The methodology used to construct tree structured rules is the focus of this monograph. Unlike many other statistical procedures, which moved from pencil and paper to calculators, this text's use of trees was unthinkable before computers. Both the practical and theoretical sides have been developed in the authors' study of tree methods. Classification and Regression Trees reflects these two sides, covering the use of trees as a data analysis method, and in a more mathematical framework, proving some of their fundamental properties.

  8. Classification of myocardial infarction

    DEFF Research Database (Denmark)

    Saaby, Lotte; Poulsen, Tina Svenstrup; Hosbond, Susanne Elisabeth


    The classification of myocardial infarction into 5 types was introduced in 2007 as an important component of the universal definition. In contrast to the plaque rupture-related type 1 myocardial infarction, type 2 myocardial infarction is considered to be caused by an imbalance between demand...... and supply of oxygen in the myocardium. However, no specific criteria for type 2 myocardial infarction have been established....

  9. Classification of High Spatial Resolution, Hyperspectral ... (United States)

    EPA announced the availability of the final report,Classification of High Spatial Resolution, Hyperspectral Remote Sensing Imagery of the Little Miami River Watershed in Southwest Ohio, USA . This report and associated land use/land cover (LULC) coverage is the result of a collaborative effort among an interdisciplinary team of scientists with the U.S. Environmental Protection Agency's (U.S. EPA's) Office of Research and Development in Cincinnati, Ohio. A primary goal of this project is to enhance the use of geography and spatial analytic tools in risk assessment, and to improve the scientific basis for risk management decisions affecting drinking water and water quality. The land use/land cover classification is derived from 82 flight lines of Compact Airborne Spectrographic Imager (CASI) hyperspectral imagery acquired from July 24 through August 9, 2002 via fixed-wing aircraft.

  10. Information fusion for automatic text classification

    Energy Technology Data Exchange (ETDEWEB)

    Dasigi, V. [Department of Computer Science and Information Technology, Sacred Heart University, Fairfield, CT (United States); Mann, R.C.; Protopopescu, V.A. [Computer and Mathematics Division, Oak Ridge National Laboratory, Oak Ridge, TN (United States)


    Analysis and classification of free text documents encompass decision-making processes that rely on several clues derived from text and other contextual information. When using multiple clues, it is generally not known a priori how these should be integrated into a decision. An algorithmic sensor based on Latent Semantic Indexing (LSI) (a recent successful method for text retrieval rather than classification) is the primary sensor used in our work, but its utility is limited by the {ital reference}{ital library} of documents. Thus, there is an important need to complement or at least supplement this sensor. We have developed a system that uses a neural network to integrate the LSI-based sensor with other clues derived from the text. This approach allows for systematic fusion of several information sources in order to determine a combined best decision about the category to which a document belongs.

  11. Seismic event classification system (United States)

    Dowla, Farid U.; Jarpe, Stephen P.; Maurer, William


    In the computer interpretation of seismic data, the critical first step is to identify the general class of an unknown event. For example, the classification might be: teleseismic, regional, local, vehicular, or noise. Self-organizing neural networks (SONNs) can be used for classifying such events. Both Kohonen and Adaptive Resonance Theory (ART) SONNs are useful for this purpose. Given the detection of a seismic event and the corresponding signal, computation is made of: the time-frequency distribution, its binary representation, and finally a shift-invariant representation, which is the magnitude of the two-dimensional Fourier transform (2-D FFT) of the binary time-frequency distribution. This pre-processed input is fed into the SONNs. These neural networks are able to group events that look similar. The ART SONN has an advantage in classifying the event because the types of cluster groups do not need to be pre-defined. The results from the SONNs together with an expert seismologist's classification are then used to derive event classification probabilities.

  12. [Morphological classification of glioblastomas]. (United States)

    Figarella-Branger, D; Bouvier, C; Moroch, J; Michalak, S; F Burel-Vandenbos


    In the 2007 WHO classification, glioblastomas are classified among the group of astrocytic tumors. They are highly malignant (grade IV). This group of tumors is morphologically heterogeneous. The WHO distinguishes between clinico-pathological entities, variants of entities and histological pattern. Variants are defined as being reliably indentified histologically and having some relevance for clinical outcome but as still being part of a previously defined overarching entity. Patterns of differentiation are identifiable by histological appearances but without clinical or pathological significance. The description of the histological and immunohistochemical features is based on the 2007 WHO classification. In addition to the classic form of glioblastoma, two variants exist: the giant cell GBM and the gliosarcoma. The first but not the second would have a better outcome than the classic glioblastoma. The WHO classification also distinguishes several patterns of differentiation: small cells glioblastoma; glioblastoma with lipidized cells; glioblastoma with oligodendroglioma component; glioblastoma with heterologous differentiation. These patterns have to be recognized because they represent sometimes a diagnostic challenge. GFAP, Olig2 and Mib1/Ki67 are the most relevant immunohistochemical markers. Diagnostic value of neuronal markers is still controversial. EGFR or p53 expression can be detected and their prognosis value is discussed in this chapter. A systematic analysis of some markers in routine, for example IDH1 or internexin-a, could help to define more homogeneous groups of patients. Copyright © 2010 Elsevier Masson SAS. All rights reserved.

  13. [Myelodysplastic syndrome classification]. (United States)

    Ghariani, Ines; Braham, Najia; Hassine, Mohsen; Kortas, Mondher


    Myelodysplastic syndromes (MDS) are myeloid disorders with various clinical and biological presentations. The French-American-British (FAB-1982) classification included five categories basing on morphology and bone marrow blast count. Three criteria are taken into account: 1) the percentage of blasts in peripheral blood and bone marrow, 2) the percentage of ringed sideroblasts, and 3) the number of monocytes in peripheral blood. The World Health Organization classification (WHO 2001, 2008) modifies the FAB system by also taking cytogenetic characteristics and molecular biology into consideration. The last classification (WHO-2008) takes into account: 1) the number of peripheral cytopenia, 2) the percentage of blasts in peripheral blood and bone marrow, 3) the percentage of ringed sideroblasts, 4) the possible presence of Auer Rods, and 5) the detection of a cytogenetic abnormality (the isolated 5q deletion). The following subgroups are defined: refractory cytopenia with unilineage dysplasia, refractory anemia with ringed sideroblasts, refractory cytopenia with multilineage dysplasia, refractory anemia with excess blasts, myelodysplastic syndrome unclassifiable and myelodysplastic syndrome with isolated del(5q).

  14. Advances in Classification Research. Volume 10. Proceedings of the ASIS SIG/CR Classification Research Workshop (10th, Washington, DC, November 1-5, 1999). ASIST Monograph Series. (United States)

    Albrechtsen, Hanne, Ed.; Mai, Jens-Erik, Ed.

    This volume is a compilation of the papers presented at the 10th ASIS (American Society for Information Science) workshop on classification research. Major themes include the social and cultural informatics of classification and coding systems, subject access and indexing theory, genre analysis and the agency of documents in the ordering of…

  15. Absent menstrual periods - primary (United States)

    Primary amenorrhea; No periods - primary; Absent periods - primary; Absent menses - primary; Absence of periods - primary ... nutrition Tumors In many cases, the cause of primary amenorrhea is not known.

  16. [Definition, etiology, classification and presentation forms]. (United States)

    Mas Garriga, Xavier


    Osteoarthritis is defined as a degenerative process affecting the joints as a result of mechanical and biological disorders that destabilize the balance between the synthesis and degradation of joint cartilage, stimulating the growth of subchondral bone; chronic synovitis is also present. Currently, the joint is considered as a functional unit that includes distinct tissues, mainly cartilage, the synovial membrane, and subchondral bone, all of which are involved in the pathogenesis of the disease. Distinct risk factors for the development of osteoarthritis have been described: general, unmodifiable risk factors (age, sex, and genetic makeup), general, modifiable risk factors (obesity and hormonal factors) and local risk factors (prior joint anomalies and joint overload). Notable among the main factors related to disease progression are joint alignment defects and generalized osteoarthritis. Several classifications of osteoarthritis have been proposed but none is particularly important for the primary care management of the disease. These classifications include etiological (primary or idiopathic forms and secondary forms) and topographical (typical and atypical localizations) classifications, the Kellgren and Lawrence classification (radiological repercussions) and that of the American College of Rheumatology for osteoarthritis of the hand, hip and knee. The prevalence of knee osteoarthritis is 10.2% in Spain and shows a marked discrepancy between clinical and radiological findings. Hand osteoarthritis, with a prevalence of symptomatic involvement of around 6.2%, has several forms of presentation (nodal osteoarthritis, generalized osteoarthritis, rhizarthrosis, and erosive osteoarthritis). Symptomatic osteoarthritis of the hip affects between 3.5% and 5.6% of persons older than 50 years and has different radiological patterns depending on femoral head migration. Copyright © 2014 Elsevier España, S.L. All rights reserved.

  17. Maximum mutual information regularized classification

    KAUST Repository

    Wang, Jim Jing-Yan


    In this paper, a novel pattern classification approach is proposed by regularizing the classifier learning to maximize mutual information between the classification response and the true class label. We argue that, with the learned classifier, the uncertainty of the true class label of a data sample should be reduced by knowing its classification response as much as possible. The reduced uncertainty is measured by the mutual information between the classification response and the true class label. To this end, when learning a linear classifier, we propose to maximize the mutual information between classification responses and true class labels of training samples, besides minimizing the classification error and reducing the classifier complexity. An objective function is constructed by modeling mutual information with entropy estimation, and it is optimized by a gradient descend method in an iterative algorithm. Experiments on two real world pattern classification problems show the significant improvements achieved by maximum mutual information regularization.

  18. Toward a Global Classification of Coastal Anthromes

    Directory of Open Access Journals (Sweden)

    Eli D. Lazarus


    Full Text Available Given incontrovertible evidence that humans are the most powerful agents of environmental change on the planet, research has begun to acknowledge and integrate human presence and activity into updated descriptions of the world’s biomes as “anthromes”. Thus far, a classification system for anthromes is limited to the terrestrial biosphere. Here, I present a case for the consideration and validity of coastal anthromes. Every coastal environment on Earth is subject to direct and indirect human modification and disturbance. Despite the legacy, ubiquity, and pervasiveness of human interactions with coastal ecosystems, coastal anthromes still lack formal definition. Following the original argument and framework for terrestrial anthromes, I outline a set of coastal anthrome classifications that dovetail with terrestrial and marine counterparts. Recognising coastal environments as complex and increasingly vulnerable anthropogenic systems is a fundamental step toward understanding their modern dynamics—and, by extension, realising opportunities for and limits to their resilience.

  19. 2012 Provisional classification criteria for polymyalgia rheumatica

    DEFF Research Database (Denmark)

    Dasgupta, Bhaskar; Cimmino, Marco A; Kremers, Hilal Maradit


    % and specificity to 81%. According to these provisional classification criteria, patients ≥50 years old presenting with bilateral shoulder pain, not better explained by an alternative pathology, can be classified as having PMR in the presence of morning stiffness >45 minutes, elevated C-reactive protein and......The objective of this study was to develop European League Against Rheumatism/American College of Rheumatology classification criteria for polymyalgia rheumatica (PMR). Candidate criteria were evaluated in a 6-month prospective cohort study of 125 patients with new-onset PMR and 169 non......-PMR comparison subjects with conditions mimicking PMR. A scoring algorithm was developed based on morning stiffness >45 minutes (2 points), hip pain/limited range of motion (1 point), absence of rheumatoid factor and/or anti-citrullinated protein antibody (2 points), and absence of peripheral joint pain (1 point...

  20. Classification and clinical features of primary headache in Akaki ...

    African Journals Online (AJOL)

    The triggering factors were stress, smell, weather, exhaustion and alcohol. Family history of migraine was found in 44%. Frequent episodic tension type headache was found most commonly in 26% followed by infrequent tension type in 22%, chronic tension type in 11% and probable tension type in 2%. Family history of ...

  1. 40 CFR 152.164 - Classification procedures. (United States)


    ... physical properties, in common. (b) Classification reviews. The Agency may conduct classification reviews... 40 Protection of Environment 23 2010-07-01 2010-07-01 false Classification procedures. 152.164... PESTICIDE REGISTRATION AND CLASSIFICATION PROCEDURES Classification of Pesticides § 152.164 Classification...

  2. Binary Classification Method of Social Network Users

    Directory of Open Access Journals (Sweden)

    I. A. Poryadin


    Full Text Available The subject of research is a binary classification method of social network users based on the data analysis they have placed. Relevance of the task to gain information about a person by examining the content of his/her pages in social networks is exemplified. The most common approach to its solution is a visual browsing. The order of the regional authority in our country illustrates that its using in school education is needed. The article shows restrictions on the visual browsing of pupil’s pages in social networks as a tool for the teacher and the school psychologist and justifies that a process of social network users’ data analysis should be automated. Explores publications, which describe such data acquisition, processing, and analysis methods and considers their advantages and disadvantages. The article also gives arguments to support a proposal to study the classification method of social network users. One such method is credit scoring, which is used in banks and credit institutions to assess the solvency of clients. Based on the high efficiency of the method there is a proposal for significant expansion of its using in other areas of society. The possibility to use logistic regression as the mathematical apparatus of the proposed method of binary classification has been justified. Such an approach enables taking into account the different types of data extracted from social networks. Among them: the personal user data, information about hobbies, friends, graphic and text information, behaviour characteristics. The article describes a number of existing methods of data transformation that can be applied to solve the problem. An experiment of binary gender-based classification of social network users is described. A logistic model obtained for this example includes multiple logical variables obtained by transforming the user surnames. This experiment confirms the feasibility of the proposed method. Further work is to define a system

  3. Optimal two-phase sampling design for comparing accuracies of two binary classification rules. (United States)

    Xu, Huiping; Hui, Siu L; Grannis, Shaun


    In this paper, we consider the design for comparing the performance of two binary classification rules, for example, two record linkage algorithms or two screening tests. Statistical methods are well developed for comparing these accuracy measures when the gold standard is available for every unit in the sample, or in a two-phase study when the gold standard is ascertained only in the second phase in a subsample using a fixed sampling scheme. However, these methods do not attempt to optimize the sampling scheme to minimize the variance of the estimators of interest. In comparing the performance of two classification rules, the parameters of primary interest are the difference in sensitivities, specificities, and positive predictive values. We derived the analytic variance formulas for these parameter estimates and used them to obtain the optimal sampling design. The efficiency of the optimal sampling design is evaluated through an empirical investigation that compares the optimal sampling with simple random sampling and with proportional allocation. Results of the empirical study show that the optimal sampling design is similar for estimating the difference in sensitivities and in specificities, and both achieve a substantial amount of variance reduction with an over-sample of subjects with discordant results and under-sample of subjects with concordant results. A heuristic rule is recommended when there is no prior knowledge of individual sensitivities and specificities, or the prevalence of the true positive findings in the study population. The optimal sampling is applied to a real-world example in record linkage to evaluate the difference in classification accuracy of two matching algorithms. Copyright © 2013 John Wiley & Sons, Ltd.

  4. Outcomes are not different for patient-matched vs. non-matched treatment in subjects with chronic, recurrent low back pain: a randomized clinical trial (United States)

    Henry, Sharon M.; Van Dillen, Linda; Ouellette-Morton, Rebecca H.; Hitt, Juvena R.; Lomond, Karen V.; DeSarno, Michael J.; Bunn, Janice Y.


    Background Classification schemas for low back pain (LBP), such as the Treatment Based Classification and the Movement System Impairment schemas, use common clinical features to subgroup patients with LBP and are purported to improve treatment outcomes. Purpose To assess if providing matched treatments based on patient specific clinical features led to superior treatment outcomes compared to an unmatched treatment for subjects with chronic, recurrent LBP. Study Design A randomized controlled trial. Patient Sample Subjects (n=124) with LBP (≥ 12 months) with or without recurrences underwent a standardized clinical exam to group them into one of 2 strata: (1) ineligible or (2) eligible for stabilization exercises based on the Treatment Based Classification schema. Subjects underwent additional clinical tests to assign them to one of the 5 possible Movement System Impairment categories. Outcome Measures Questionnaires were collected electronically at: Week 0, prior to treatment; Week 7 (following the 6 weekly, one hour treatment sessions); and 12 months. Using the Oswestry Disability Index (0-100) and the Numeric Pain Rating Scale (0-10), the primary analysis was performed using the intention-to-treat principle. Secondary outcomes included fear-avoidance beliefs as well as psychosocial, work related and general health status. Methods After subjects were categorized based on their particular clinical features using both the Treatment Based Classification and Movement System Impairment schemas, they were randomized into one of two treatments using a 3:1 ratio for matched or unmatched treatments. The treatments were (1) trunk stabilization exercise, or (2) Movement System Impairment-directed exercises. The study was funded by National Institutes of Health (NCMRR/R01HD040909; $1,485,000). There are no study specific conflicts of interest to report. Results Of the patients allocated to treatment for this study, 76 received a matched treatment and 25 received an unmatched

  5. Classification systems in Gestational trophoblastic neoplasia - Sentiment or evidenced based? (United States)

    Parker, V L; Pacey, A A; Palmer, J E; Tidy, J A; Winter, M C; Hancock, B W


    The classification system for Gestational trophoblastic neoplasia (GTN) has proved a controversial topic for over 100years. Numerous systems simultaneously existed in different countries, with three main rival classifications gaining popularity, namely histological, anatomical and clinical prognostic systems. Until 2000, prior to the combination of the FIGO and WHO classifications, there was no worldwide consensus on the optimal classification system, largely due to a lack of high quality data proving the merit of one system over another. Remarkably, a validated, prospectively tested classification system is yet to be conducted. Over time, increasing criticisms have emerged regarding the currently adopted combined FIGO/WHO classification system, and its ability to identify patients most likely to develop primary chemotherapy resistance or disease relapse. This is particularly pertinent for patients with low-risk disease, whereby one in three patients are resistant to first line therapy, rising to four out of five women who score 5 or 6. This review aims to examine the historical basis of the GTN classification systems and critically appraise the evidence on which they were based. This culminates in a critique of the current FIGO/WHO prognostic system and discussion surrounding clinical preference versus evidence based practice. Copyright © 2017 Elsevier Ltd. All rights reserved.

  6. Land-cover classification in a moist tropical region of Brazil with Landsat TM imagery. (United States)

    Li, Guiying; Lu, Dengsheng; Moran, Emilio; Hetrick, Scott


    This research aims to improve land-cover classification accuracy in a moist tropical region in Brazil by examining the use of different remote sensing-derived variables and classification algorithms. Different scenarios based on Landsat Thematic Mapper (TM) spectral data and derived vegetation indices and textural images, and different classification algorithms - maximum likelihood classification (MLC), artificial neural network (ANN), classification tree analysis (CTA), and object-based classification (OBC), were explored. The results indicated that a combination of vegetation indices as extra bands into Landsat TM multispectral bands did not improve the overall classification performance, but the combination of textural images was valuable for improving vegetation classification accuracy. In particular, the combination of both vegetation indices and textural images into TM multispectral bands improved overall classification accuracy by 5.6% and kappa coefficient by 6.25%. Comparison of the different classification algorithms indicated that CTA and ANN have poor classification performance in this research, but OBC improved primary forest and pasture classification accuracies. This research indicates that use of textural images or use of OBC are especially valuable for improving the vegetation classes such as upland and liana forest classes having complex stand structures and having relatively large patch sizes.

  7. A standardized classification of hypospadias. (United States)

    Orkiszewski, Marek


    Systems for categorizing hypospadias are based on the location of the external meatus. The presented proposal draws on the organogenesis of the urethra and its position against the bone structure of the pelvis. The aim of the study was to examine the position of the corpus spongiosum division relative to pelvic bone structures as an indicator of the true level of hypospadias. The study involved 150 patients aged 6 months to 22.8 years admitted for primary repair. The division of the corpus spongiosum was examined relative to the shaft of the penis and the upper pubis. Hypospadias above the pubis was categorized as penile, while below was proximal, with further subcategorization. The quality of the distal urethral canal was assessed. The external meatus was above the pubis in 94.1% while the division of corpus spongiosum was located above the pubis in 90% (distal penile 38%, mid shaft 25.3%). There was a considerable difference in hypospadias level relative to the indicator used. The distal meatus/urethra was stenotic in 84%, hypoplastic in 86.8% with true chordee in 10.4%. A classification of hypospadias based on organogenesis and in respect to bony structures of the pelvis seems reliable, consistent, and more surgically oriented. The distal urethral canal should be regarded as a fistula. Copyright © 2011 Journal of Pediatric Urology Company. Published by Elsevier Ltd. All rights reserved.

  8. A subjective scheduler for subjective dedicated networks (United States)

    Suherman; Fakhrizal, Said Reza; Al-Akaidi, Marwan


    Multiple access technique is one of important techniques within medium access layer in TCP/IP protocol stack. Each network technology implements the selected access method. Priority can be implemented in those methods to differentiate services. Some internet networks are dedicated for specific purpose. Education browsing or tutorial video accesses are preferred in a library hotspot, while entertainment and sport contents could be subjects of limitation. Current solution may use IP address filter or access list. This paper proposes subjective properties of users or applications are used for priority determination in multiple access techniques. The NS-2 simulator is employed to evaluate the method. A video surveillance network using WiMAX is chosen as the object. Subjective priority is implemented on WiMAX scheduler based on traffic properties. Three different traffic sources from monitoring video: palace, park, and market are evaluated. The proposed subjective scheduler prioritizes palace monitoring video that results better quality, xx dB than the later monitoring spots.

  9. Primary Prevention With Statins

    DEFF Research Database (Denmark)

    Mortensen, Martin B; Afzal, Shoaib; Nordestgaard, Børge G


    BACKGROUND: Guidelines recommend initiating primary prevention for atherosclerotic cardiovascular disease (ASCVD) with statins based on absolute ASCVD risk assessment. Recently, alternative trial-based and hybrid approaches were suggested for statin treatment eligibility. OBJECTIVES: This study....../AHA risk-based approach, the net reclassification index for eligibility for statin therapy among 40- to 75-year-old subjects from the CGPS was -0.21 for the trial-based approach and -0.13 for the hybrid approach. CONCLUSIONS: The clinical performance of the ACC/AHA risk-based approach for primary...

  10. Seafloor backscatter signal simulation and classification

    Digital Repository Service at National Institute of Oceanography (India)

    Mahale, V.; El Dine, W.G.; Chakraborty, B.

    in the backscattered signal. An analysis of the signal envelope fluctuation over several pings can be used to understand the roughness characteristics of the seafloor. In this, primary effort towards classification, we have concentrated only on the normal incidence... in such situations is to use the ground truth data to derive the type of class. Most of these problems are of supervised learning type, i.e. it requires examples of known class types, for the network learning process. In a typical scenario, a neural network...

  11. Classification in Medical Imaging

    DEFF Research Database (Denmark)

    Chen, Chen

    to segment breast tissue and pectoral muscle area from the background in mammogram. The second focus is the choices of metric and its influence to the feasibility of a classifier, especially on k-nearest neighbors (k-NN) algorithm, with medical applications on breast cancer prediction and calcification...... and explores these challenging areas. The first focus of the thesis is to properly combine different local feature experts and prior information to design an effective classifier. The preliminary classification results, provided by the experts, are fused in order to develop an automatic segmentation method...

  12. Constructing criticality by classification

    DEFF Research Database (Denmark)

    Machacek, Erika


    This paper explores the role of expertise, the nature of criticality, and their relationship to securitisation as mineral raw materials are classified. It works with the construction of risk along the liberal logic of security to explore how "key materials" are turned into "critical materials......" in the bureaucratic practice of classification: Experts construct material criticality in assessments as they allot information on the materials to the parameters of the assessment framework. In so doing, they ascribe a new set of connotations to the materials, namely supply risk, and their importance to clean energy...


    Directory of Open Access Journals (Sweden)

    I. P. Prokopenko


    Full Text Available Correctly organized nutritive and pharmacological support is an important component of an athlete's preparation for competitions, an optimal shape maintenance, fast recovery and rehabilitation after traumas and defatigation. Special products of enhanced biological value (BAS for athletes nutrition are used with this purpose. Easy-to-use energy sources are administered into athlete's organism, yielded materials and biologically active substances which regulate and activate exchange reactions which proceed with difficulties during certain physical trainings. The article presents sport supplements classification which can be used before warm-up and trainings, after trainings and in competitions breaks.

  14. Automated method for identification and artery-venous classification of vessel trees in retinal vessel networks.

    Directory of Open Access Journals (Sweden)

    Vinayak S Joshi

    Full Text Available The separation of the retinal vessel network into distinct arterial and venous vessel trees is of high interest. We propose an automated method for identification and separation of retinal vessel trees in a retinal color image by converting a vessel segmentation image into a vessel segment map and identifying the individual vessel trees by graph search. Orientation, width, and intensity of each vessel segment are utilized to find the optimal graph of vessel segments. The separated vessel trees are labeled as primary vessel or branches. We utilize the separated vessel trees for arterial-venous (AV classification, based on the color properties of the vessels in each tree graph. We applied our approach to a dataset of 50 fundus images from 50 subjects. The proposed method resulted in an accuracy of 91.44% correctly classified vessel pixels as either artery or vein. The accuracy of correctly classified major vessel segments was 96.42%.

  15. ILAE classification of the epilepsies: Position paper of the ILAE Commission for Classification and Terminology. (United States)

    Scheffer, Ingrid E; Berkovic, Samuel; Capovilla, Giuseppe; Connolly, Mary B; French, Jacqueline; Guilhoto, Laura; Hirsch, Edouard; Jain, Satish; Mathern, Gary W; Moshé, Solomon L; Nordli, Douglas R; Perucca, Emilio; Tomson, Torbjörn; Wiebe, Samuel; Zhang, Yue-Hua; Zuberi, Sameer M


    The International League Against Epilepsy (ILAE) Classification of the Epilepsies has been updated to reflect our gain in understanding of the epilepsies and their underlying mechanisms following the major scientific advances that have taken place since the last ratified classification in 1989. As a critical tool for the practicing clinician, epilepsy classification must be relevant and dynamic to changes in thinking, yet robust and translatable to all areas of the globe. Its primary purpose is for diagnosis of patients, but it is also critical for epilepsy research, development of antiepileptic therapies, and communication around the world. The new classification originates from a draft document submitted for public comments in 2013, which was revised to incorporate extensive feedback from the international epilepsy community over several rounds of consultation. It presents three levels, starting with seizure type, where it assumes that the patient is having epileptic seizures as defined by the new 2017 ILAE Seizure Classification. After diagnosis of the seizure type, the next step is diagnosis of epilepsy type, including focal epilepsy, generalized epilepsy, combined generalized, and focal epilepsy, and also an unknown epilepsy group. The third level is that of epilepsy syndrome, where a specific syndromic diagnosis can be made. The new classification incorporates etiology along each stage, emphasizing the need to consider etiology at each step of diagnosis, as it often carries significant treatment implications. Etiology is broken into six subgroups, selected because of their potential therapeutic consequences. New terminology is introduced such as developmental and epileptic encephalopathy. The term benign is replaced by the terms self-limited and pharmacoresponsive, to be used where appropriate. It is hoped that this new framework will assist in improving epilepsy care and research in the 21st century. Wiley Periodicals, Inc. © 2017 International League


    Roy, Snehashis; Carass, Aaron; Bazin, Pierre-Louis; Prince, Jerry L.


    Tissue classification algorithms developed for magnetic resonance images commonly assume a Gaussian model on the statistics of noise in the image. While this is approximately true for voxels having large intensities, it is less true as the underlying intensity becomes smaller. In this paper, the Gaussian model is replaced with a Rician model, which is a better approximation to the observed signal. A new classification algorithm based on a finite mixture model of Rician signals is presented wherein the expectation maximization algorithm is used to find the joint maximum likelihood estimates of the unknown mixture parameters. Improved accuracy of tissue classification is demonstrated on several sample data sets. It is also shown that classification repeatability for the same subject under different MR acquisitions is improved using the new method. PMID:20126426

  17. Signal transmission system classification for intrusion detection systems

    Energy Technology Data Exchange (ETDEWEB)

    Blacksten, R.; Barnard, R.


    In this paper, the authors discuss the classification of signal transmission system security for modern intrusion detection systems. The content of this paper is based largely on a recent study conducted by the McLean Research Center for the US Army Belvoir R and D Center. This paper has a three-part message. First, the signal transmission component of a modern intrusion detection system is an important point of hostile attack and deserves comprehensive, carefully thought-out classification procedures. However, such classification is not an easy endeavor. Second, the signal transmission system is subject to several kinds of attack, complementing different attacker operations and goals. Third, a classification system focusing on the attacker -- his skill and resources -- is needed for intelligent decision making in security system integration and design. A good place to start this is with the signal transmission system.

  18. Alternative Analysis of Classifications of Universal Managerial Functions

    Directory of Open Access Journals (Sweden)

    Chornii Heorhii M.


    Full Text Available The article is devoted to theoretical justification of classification of general managerial functions. Critical analysis of scientific works of eminent specialists in management gave a possibility to find out that classification of functions of the subject of management should be based on the objective cyclic change of the state of information by three stages: appearance of information, its concentration and transformation into a programme of specific actions. The article offers a classification model of the integrated managerial activity in social and mixed systems, which includes differentiation of managerial functions into three orders. Providing information, decision making and realisation of the decision are functions of the second order (basic in this model, while accounting, analysis, goal setting, planning, organisation, management and control – are, consequently, functions of the third order (derivatives. The article considers one specific example from management practice with the aim of verification of the author’s opinion regarding the processed classification of managerial functions.


    Directory of Open Access Journals (Sweden)

    Željko Bjeljac


    Full Text Available Sporting events are programs, which are dominated by creative and complex facilities, primarily sports, but also recreation and entertainment. As such, they achieve tourism effects and goals and have a socio-economic importance for the city, region or state. Depending on the size and importance of sports event, sport has a different role in the context of promoting tourist destination, as well as different values. Each sport discipline has its own criteria by which athletes are ranked individually or as team. The subject of the research is to determine the criteria for the categorization of sporting events, in order to determine the importance of sporting events as an element of the tourist offer (individually or as part of a tourist destination. Also, this paper’s results present a comparative analysis of similar methodologies for the categorization of sporting events. Based on the research presented in the paper, there are four groups of criteria: economic, media, social and environmental. Together with this, paper gives the classification of traditional sporting events in the case of Serbia, dividing them in four groups.

  20. Classification of menstrual bleeding disorders. (United States)

    Munro, Malcolm G


    There exists a spectrum of potential causes of abnormal uterine bleeding (AUB) in nonpregnant reproductive-aged women. In some instances the abnormal bleeding may emanate from definable pathologic entities in the endometrial cavity such as polyps or submucous leiomyomas (fibroids), while in others, it may occur secondary to coagulopathies or disorders of local or systemic hemostasis. If the patient is subjected to a rigorous evaluation more than one potential contributor may be identified, a circumstance that challenges the clinician since entities such as polyps, leiomyomas, and adenomyosis may frequently be asymptomatic, even in women with AUB. The bench or clinical investigator may also be influenced by the existence of the multiplicity of potential causes that could confound the results of research. This paper describes FIGO's (Fédération Internationale de Gynécologie et d'Obstétrique) new PALM-COEIN classification of causes of AUB in the reproductive years (Polyp, Adenomyosis, Leiomyoma, Malignancy and hyperplasia-Coagulopathy, Ovulatory disorder, Endometrial, Iatrogenic, Not yet classified). This system is designed to assist clinicians in the evaluation of patients, investigators in the design and interpretation of research and faculty in the education of medical students and residents/trainees. Additionally, given the longstanding existence of a confusing array of conflicting definitions, the manuscript describes the FIGO standardized terminology for both normal menstruation and AUB symptoms.

  1. 2012 provisional classification criteria for polymyalgia rheumatica

    DEFF Research Database (Denmark)

    Dasgupta, Bhaskar; Cimmino, Marco A; Maradit-Kremers, Hilal


    The objective of this study was to develop EULAR/ACR classification criteria for polymyalgia rheumatica (PMR). Candidate criteria were evaluated in a 6-month prospective cohort study of 125 patients with new onset PMR and 169 non-PMR comparison subjects with conditions mimicking PMR. A scoring al...... with bilateral shoulder pain, not better explained by an alternative pathology, can be classified as having PMR in the presence of morning stiffness>45 minutes, elevated CRP and/or ESR and new hip pain. These criteria are not meant for diagnostic purposes.......The objective of this study was to develop EULAR/ACR classification criteria for polymyalgia rheumatica (PMR). Candidate criteria were evaluated in a 6-month prospective cohort study of 125 patients with new onset PMR and 169 non-PMR comparison subjects with conditions mimicking PMR. A scoring...... algorithm was developed based on morning stiffness >45 minutes (2 points), hip pain/limited range of motion (1 point), absence of RF and/or ACPA (2 points), and absence of peripheral joint pain (1 point). A score ≥4 had 68% sensitivity and 78% specificity for discriminating all comparison subjects from PMR...

  2. Primary productivity

    Digital Repository Service at National Institute of Oceanography (India)

    Verlecar, X.N.; Parulekar, A.H.

    nutrients and ample solar radiation frequently trigger phytoplankton blooms in coastal polynias during Antarctic summer. Energy transfer model for primary productivity has been used to derive potential exploitable fishery resources in the Indian Ocean....

  3. The development of a classification system for inland aquatic ...

    African Journals Online (AJOL)


    Oct 5, 2015 ... Level 4 identifies HGM Units, defined primarily according to landform, hydrological characteristics and hydrodynamics. The following primary HGM Units (or HGM Types), which represent the main units of analysis for the classification system, are distinguished at Level 4A: (1) River; (2) Floodplain Wetland; ...

  4. Relationship between the degree of obesity and oral glucose tolerance in primary obese adolescents

    Directory of Open Access Journals (Sweden)

    Argo Pribadi


    Full Text Available Background Obesity has long been recognized as a risk factor for a variety of adverse health consequences. Obese adolescents tend to have a decrease in sensitivity to insulin resulted in elevated plasma glucose level. The oral glucose tolerance test has often been used to evaluate this insulin resistance. The aim of this study Objective To find out the relationship between the degree of obesity (according various classification and the ability to tolerate oral glucose load in adolescents with primary obesity. Methods Subjects of this cross-sectional study consisted of 75 adolescents aged between 12 and 15 years. Obesity status was detennined according to the weight for height (W-H, body mass index (BMI, triceps skin folds thickness (TST and sub scapular skin folds thickness (SST classifications. All subjects underwent oral glucose tolerance test. The plasma glucose level was measured while fasting and two hours after taking 1.75 gram glucose per kilogram of body weight (maximum 75 gram. Impaired glucose tolerance was defined as a fasting glucose level s.126 and two-hour plasma glucose 3 140 mg/dL but < 200 mg/dL. Results There was a significant difference in two-hour plasma glucose level between the mild and moderate obese group based on W-H classification (P=0.02, also between the non obese and the obese group based on BMI classification (P=0.02. The Pearson's correlation of two-hour plasma glucose level with W-H and BMI parameters showed a significant correlation (r = 0.316; P=0.005 and r = 0.268; P=0.018. There were two adolescent girls who showed impaired glucose tolerance. Conclusion Although impaired glucose tolerance found only in a few obese adolescents, decreased ability to tolerate oral glucose load was found in subjects studied and correlated well with the degree of obesity.

  5. Development and comparison of circulation type classifications using the COST 733 dataset and software

    Czech Academy of Sciences Publication Activity Database

    Philipp, A.; Beck, Ch.; Huth, Radan; Jacobeit, J.


    Roč. 36, č. 7 (2016), s. 2673-2691 ISSN 0899-8418 Institutional support: RVO:68378289 Keywords : circulation type classification * weather types * Rand index * pattern correlation * manual classification * threshold-based classification * principal component analysis * cluster analysis Subject RIV: DG - Athmosphere Sciences, Meteorology Impact factor: 3.760, year: 2016

  6. Primary Inflation


    Izawa, K. -I.


    We consider an inflationary universe scenario with multiple stages of inflation. The primary inflation, which may start at the Planck epoch, is followed by secondary inflations, which include the cosmological inflation that causes the primordial density fluctuations of our universe. We point out that an initial condition for a secondary inflation is naturally realized if the e-fold number of the primary inflation is sufficiently large.

  7. Superiority of Classification Tree versus Cluster, Fuzzy and Discriminant Models in a Heartbeat Classification System. (United States)

    Krasteva, Vessela; Jekova, Irena; Leber, Remo; Schmid, Ramun; Abächerli, Roger


    This study presents a 2-stage heartbeat classifier of supraventricular (SVB) and ventricular (VB) beats. Stage 1 makes computationally-efficient classification of SVB-beats, using simple correlation threshold criterion for finding close match with a predominant normal (reference) beat template. The non-matched beats are next subjected to measurement of 20 basic features, tracking the beat and reference template morphology and RR-variability for subsequent refined classification in SVB or VB-class by Stage 2. Four linear classifiers are compared: cluster, fuzzy, linear discriminant analysis (LDA) and classification tree (CT), all subjected to iterative training for selection of the optimal feature space among extended 210-sized set, embodying interactive second-order effects between 20 independent features. The optimization process minimizes at equal weight the false positives in SVB-class and false negatives in VB-class. The training with European ST-T, AHA, MIT-BIH Supraventricular Arrhythmia databases found the best performance settings of all classification models: Cluster (30 features), Fuzzy (72 features), LDA (142 coefficients), CT (221 decision nodes) with top-3 best scored features: normalized current RR-interval, higher/lower frequency content ratio, beat-to-template correlation. Unbiased test-validation with MIT-BIH Arrhythmia database rates the classifiers in descending order of their specificity for SVB-class: CT (99.9%), LDA (99.6%), Cluster (99.5%), Fuzzy (99.4%); sensitivity for ventricular ectopic beats as part from VB-class (commonly reported in published beat-classification studies): CT (96.7%), Fuzzy (94.4%), LDA (94.2%), Cluster (92.4%); positive predictivity: CT (99.2%), Cluster (93.6%), LDA (93.0%), Fuzzy (92.4%). CT has superior accuracy by 0.3-6.8% points, with the advantage for easy model complexity configuration by pruning the tree consisted of easy interpretable 'if-then' rules.

  8. Superiority of Classification Tree versus Cluster, Fuzzy and Discriminant Models in a Heartbeat Classification System.

    Directory of Open Access Journals (Sweden)

    Vessela Krasteva

    Full Text Available This study presents a 2-stage heartbeat classifier of supraventricular (SVB and ventricular (VB beats. Stage 1 makes computationally-efficient classification of SVB-beats, using simple correlation threshold criterion for finding close match with a predominant normal (reference beat template. The non-matched beats are next subjected to measurement of 20 basic features, tracking the beat and reference template morphology and RR-variability for subsequent refined classification in SVB or VB-class by Stage 2. Four linear classifiers are compared: cluster, fuzzy, linear discriminant analysis (LDA and classification tree (CT, all subjected to iterative training for selection of the optimal feature space among extended 210-sized set, embodying interactive second-order effects between 20 independent features. The optimization process minimizes at equal weight the false positives in SVB-class and false negatives in VB-class. The training with European ST-T, AHA, MIT-BIH Supraventricular Arrhythmia databases found the best performance settings of all classification models: Cluster (30 features, Fuzzy (72 features, LDA (142 coefficients, CT (221 decision nodes with top-3 best scored features: normalized current RR-interval, higher/lower frequency content ratio, beat-to-template correlation. Unbiased test-validation with MIT-BIH Arrhythmia database rates the classifiers in descending order of their specificity for SVB-class: CT (99.9%, LDA (99.6%, Cluster (99.5%, Fuzzy (99.4%; sensitivity for ventricular ectopic beats as part from VB-class (commonly reported in published beat-classification studies: CT (96.7%, Fuzzy (94.4%, LDA (94.2%, Cluster (92.4%; positive predictivity: CT (99.2%, Cluster (93.6%, LDA (93.0%, Fuzzy (92.4%. CT has superior accuracy by 0.3-6.8% points, with the advantage for easy model complexity configuration by pruning the tree consisted of easy interpretable 'if-then' rules.

  9. Confiabilidade diagnóstica dos transtornos mentais da versão para cuidados primários da Classificação Internacional das Doenças Diagnostic reliability of mental disorders of the International Classification of Diseases - primary care

    Directory of Open Access Journals (Sweden)

    Ellis D'A Busnello


    Full Text Available OBJETIVO: Avaliar a confiabilidade da versão para teste do capítulo V - "Transtornos Mentais e do Comportamento", da décima revisão da Classificação Internacional das Doenças, Versão para Cuidados Primários (CID -10 CP, preparado pela Divisão de Saúde Mental da Organização Mundial da Saúde (OMS. MÉTODOS: Durante os meses de setembro e outubro de 1994 foram treinados médicos gerais comunitários (MGC da Secretaria da Saúde e do Meio Ambiente do Estado do Rio Grande do Sul, no uso da citada versão, preparada para teste de campo, conforme o delineamento proposto pela OMS. RESULTADOS: Os resultados referem-se ao estudo sobre concordância dos diagnósticos atribuídos por 9 duplas de MGC a 440 pacientes de primeira consulta. O Kappa de Cohen para Transtorno de Saúde Mental, presente ou ausente, foi de 0,79 (IC 95%: 0,69 -- 0,88. CONCLUSÃO: O uso da CID-10 CP dará maior especificidade às informações e permitirá maior comunicação entre as equipes de saúde em nível de cuidados primários.INTRODUCTION: The objective is to evaluate the test version of Chapter V - "Mental and Behavioral Disorders reliability", of the 10th revision of the International Classification of Diseases, Version for Primary Care (ICD -10 PC, prepared by the Division of Mental Health of the World Health Organization (WHO. METHODS: During September and October of 1994, Community General Physicians (CGP from the Health and Environment Department of the State of Rio Grande do Sul were trained in the use of this version, prepared for the field trial, according to the design proposed by WHO. RESULTS: The results refer to a study about reliability of diagnosis attributed by 9 pairs of CGP to 460 patients in their first appointments. Cohen's Kappa for Mental Health Disorder, present or absent, was 0,79 (CI 95%: 0,69 - 0,88. CONCLUSION: The use of ICD-10 CP will give more specificity to the information and will allow a better communication between health

  10. Classification of smooth Fano polytopes

    DEFF Research Database (Denmark)

    Øbro, Mikkel

    A simplicial lattice polytope containing the origin in the interior is called a smooth Fano polytope, if the vertices of every facet is a basis of the lattice. The study of smooth Fano polytopes is motivated by their connection to toric varieties. The thesis concerns the classification of smooth...... Fano polytopes up to isomorphism. A smooth Fano -polytope can have at most vertices. In case of vertices an explicit classification is known. The thesis contains the classification in case of vertices. Classifications of smooth Fano -polytopes for fixed exist only for . In the thesis an algorithm...... for the classification of smooth Fano -polytopes for any given is presented. The algorithm has been implemented and used to obtain the complete classification for ....

  11. Cluster Based Text Classification Model

    DEFF Research Database (Denmark)

    Nizamani, Sarwat; Memon, Nasrullah; Wiil, Uffe Kock


    We propose a cluster based classification model for suspicious email detection and other text classification tasks. The text classification tasks comprise many training examples that require a complex classification model. Using clusters for classification makes the model simpler and increases...... the accuracy at the same time. The test example is classified using simpler and smaller model. The training examples in a particular cluster share the common vocabulary. At the time of clustering, we do not take into account the labels of the training examples. After the clusters have been created......, the classifier is trained on each cluster having reduced dimensionality and less number of examples. The experimental results show that the proposed model outperforms the existing classification models for the task of suspicious email detection and topic categorization on the Reuters-21578 and 20 Newsgroups...

  12. Small-scale classification schemes

    DEFF Research Database (Denmark)

    Hertzum, Morten


    Small-scale classification schemes are used extensively in the coordination of cooperative work. This study investigates the creation and use of a classification scheme for handling the system requirements during the redevelopment of a nation-wide information system. This requirements classificat....... This difference between the written requirements specification and the oral discussions at the meetings may help explain software engineers’ general preference for people, rather than documents, as their information sources.......Small-scale classification schemes are used extensively in the coordination of cooperative work. This study investigates the creation and use of a classification scheme for handling the system requirements during the redevelopment of a nation-wide information system. This requirements....... While coordination mechanisms focus on how classification schemes enable cooperation among people pursuing a common goal, boundary objects embrace the implicit consequences of classification schemes in situations involving conflicting goals. Moreover, the requirements specification focused on functional...


    Directory of Open Access Journals (Sweden)

    Sergey Vladimirovich Lesnikov


    Full Text Available The goal is to study thesaurus as an instrument to define the classification of economic sciences, to adapt their classification to the increased information flow, to increase accuracy of allocation of information resources with consideration of the users’ needs, to suggest making alterations in the classification of economic sciences made by the Institute of Scientific Information for Social Sciences of the Russian Academy of Sciences (INION RAN in 2001.The authors see the classification of economic sciences as a product of social communications theory – a differentiated aspect of social research. Modern science is subdivided into various aspects with varied subjects and methods. The latter overlap and form a hierarchy of concepts in science within the same research subject. The authors stress the importance of information retrieval systems for developing scientific knowledge. Information retrieval systems can immediately deliver data from different areas of science to the user who can then integrate the information and obtain a vivid picture of the research subject. Search engines and rubricators are becoming increasingly important as there is a tendency to isolated thinking with many Internet users.The authors have devised a certain approach to using the thesaurus as the means of sciences classification and as a hyper language of science. The suggested methodological approach to structuring terms and notions via thesaurus have been tested at Syktyvkar State University and Syktyvkar branch of Saint-Petersburg Economic University.Methods: deduction, induction, analysis, synthesis, abstraction technique, classification.Results: there have been defined stages and main sections of the information-retrieval thesaurus of the hyperlanguage of economic science on the basis of existing classification systems of scientific knowledge.Scope of application of results: library services, information technology, education.DOI:

  14. Classification of Recombinant Biologics in the EU

    DEFF Research Database (Denmark)

    Klein, Kevin; De Bruin, Marie L; Broekmans, Andre W


    BACKGROUND AND OBJECTIVE: Biological medicinal products (biologics) are subject to specific pharmacovigilance requirements to ensure that biologics are identifiable by brand name and batch number in adverse drug reaction (ADR) reports. Since Member States collect ADR data at the national level...... % of the recombinant biologics from the sample list as biologics, whereas the classification rates in the remaining four Member States ranged between 70 and 88 % for products available on the national market. The interrater reliability for 87 products available on the market in all five Member States was considered...... a publicly available and frequently updated list of centrally authorized biologics....

  15. SCOPE - Stellar Classification Online Public Exploration (United States)

    Harenberg, Steven


    The Astronomical Photographic Data Archive (APDA) has been established to be the primary North American archive for the collections of astronomical photographic plates. Located at the Pisgah Astronomical Research Institute (PARI) in Rosman, NC, the archive contains hundreds of thousands stellar spectra, many of which have never before been classified. To help classify the vast number of stars, the public is invited to participate in a distributed computing online environment called Stellar Classification Online - Public Exploration (SCOPE). Through a website, the participants will have a tutorial on stellar spectra and practice classifying. After practice, the participants classify spectra on photographic plates uploaded online from APDA. These classifications will be recorded in a database where the results from many users will be statistically analyzed. Stars with known spectral types will be included to test the reliability of classifications. The process of building the database of stars from APDA, which the citizen scientist will be able to classify, includes: scanning the photographic plates, orienting the plate to correct for the change in right ascension/declination using Aladin, stellar HD catalog identification using Simbad, marking the boundaries for each spectrum, and setting up the image for use on the website. We will describe the details of this process.

  16. A classification of complications in urogynecology

    Directory of Open Access Journals (Sweden)

    Krzysztof Gałczyński


    Full Text Available The frequency of female pelvic floor reconstruction surgery with synthetic materials has been systematically rising for the last 30 years. Nowadays, they are widely used in urogynecology with a high cure rate, and a statistically significant better outcome compared to classical vaginal repair procedures. This type of operation progressed in some areas from an indication for recurrent prolapse to that of using them in primary procedures. Nevertheless, implantation of synthetic material is associated with the occurrence of specific complications and side-effects. The number and type of complications varies, depending on the study, reaching as much as 10% in some centers. The International Continence Society (ICS and International Urogynecological Association (IUGA have introduced an interesting tool for the evaluation of complications related directly to the insertion of prostheses and grafts in the female pelvic floor. The purpose of this classification is to describe possible complications with numbers and letters which together form a code containing comprehensive information about the complication. This article presents the clinical and practical aspects of this classification and first comments about its usability. The presented classification may serve as a tool for the development of national and international registries of urogynecological procedures that would be a great source of information on the number and type of operations performed, their effectiveness and potential complications.

  17. A classification of complications in urogynecology. (United States)

    Gałczyński, Krzysztof; Futyma, Konrad; Rechberger, Tomasz


    The frequency of female pelvic floor reconstruction surgery with synthetic materials has been systematically rising for the last 30 years. Nowadays, they are widely used in urogynecology with a high cure rate, and a statistically significant better outcome compared to classical vaginal repair procedures. This type of operation progressed in some areas from an indication for recurrent prolapse to that of using them in primary procedures. Nevertheless, implantation of synthetic material is associated with the occurrence of specific complications and side-effects. The number and type of complications varies, depending on the study, reaching as much as 10% in some centers. The International Continence Society (ICS) and International Urogynecological Association (IUGA) have introduced an interesting tool for the evaluation of complications related directly to the insertion of prostheses and grafts in the female pelvic floor. The purpose of this classification is to describe possible complications with numbers and letters which together form a code containing comprehensive information about the complication. This article presents the clinical and practical aspects of this classification and first comments about its usability. The presented classification may serve as a tool for the development of national and international registries of urogynecological procedures that would be a great source of information on the number and type of operations performed, their effectiveness and potential complications.

  18. Emotion classification based on gamma-band EEG. (United States)

    Li, Mu; Lu, Bao-Liang


    In this paper, we use EEG signals to classify two emotions-happiness and sadness. These emotions are evoked by showing subjects pictures of smile and cry facial expressions. We propose a frequency band searching method to choose an optimal band into which the recorded EEG signal is filtered. We use common spatial patterns (CSP) and linear-SVM to classify these two emotions. To investigate the time resolution of classification, we explore two kinds of trials with lengths of 3s and 1s. Classification accuracies of 93.5% +/- 6.7% and 93.0%+/-6.2% are achieved on 10 subjects for 3s-trials and 1s-trials, respectively. Our experimental results indicate that the gamma band (roughly 30-100 Hz) is suitable for EEG-based emotion classification.

  19. An ecological classification system for the central hardwoods region: The Hoosier National Forest (United States)

    James E. Van Kley; George R. Parker


    This study, a multifactor ecological classification system, using vegetation, soil characteristics, and physiography, was developed for the landscape of the Hoosier National Forest in Southern Indiana. Measurements of ground flora, saplings, and canopy trees from selected stands older than 80 years were subjected to TWINSPAN classification and DECORANA ordination....

  20. Classification of quantitative light-induced fluorescence images using convolutional neural network

    NARCIS (Netherlands)

    Imangaliyev, S.; van der Veen, M.H.; Volgenant, C.M.C.; Loos, B.G.; Keijser, B.J.F.; Crielaard, W.; Levin, E.; Lintas, A.; Rovetta, S.; Verschure, P.F.M.J.; Villa, A.E.P.


    Images are an important data source for diagnosis of oral diseases. The manual classification of images may lead to suboptimal treatment procedures due to subjective errors. In this paper an image classification algorithm based on Deep Learning framework is applied to Quantitative Light-induced

  1. Classification of in-shell peanut kernels nondestructively using VIS/NIR reflectance spectroscopy (United States)

    One of the grading factors for peanuts is their classification into peanuts with good or bad kernels. Traditional manual methods are labor intensive and subjective. A device by which the classification could be done rapidly and without the need to shell the peanuts would be very useful for the pe...

  2. Multisite functional connectivity MRI classification of autism: ABIDE results

    Directory of Open Access Journals (Sweden)

    Jared A Nielsen


    Full Text Available Background: Systematic differences in functional connectivity MRI metrics have been consistently observed in autism, with predominantly decreased cortico-cortical connectivity. Previous attempts at single subject classification in high-functioning autism using whole brain point-to-point functional connectivity have yielded about 80% accurate classification of autism vs. control subjects across a wide age range. We attempted to replicate the method and results using the Autism Brain Imaging Data Exchange including resting state fMRI data obtained from 964 subjects and 16 separate international sites.Methods: For each of 964 subjects, we obtained pairwise functional connectivity measurements from a lattice of 7266 regions of interest covering the gray matter (26.4 million "connections" after preprocessing that included motion and slice timing correction, coregistration to an anatomic image, normalization to standard space, and voxelwise removal by regression of motion parameters, soft tissue, CSF, and white matter signals. Connections were grouped into multiple bins, and a leave-one-out classifier was evaluated on connections comprising each set of bins. Age, age-squared, gender, handedness, and site were included as covariates for the classifier.Results: Classification accuracy significantly outperformed chance but was much lower for multisite prediction than for previous single site results. As high as 60% accuracy was obtained for whole brain classification, with the best accuracy from connections involving regions of the default mode network, parahippocampal and fusiform gyri, insula, Wernicke Area, and intraparietal sulcus. The classifier score was related to symptom severity, social function, daily living skills, and verbal IQ. Classification accuracy was significantly higher for sites with longer BOLD imaging times.Conclusions: Multisite functional connectivity classification of autism outperformed chance using a simple leave

  3. A hierarchical classification of freshwater mussel diversity in North America (United States)

    Wendell R. Haag


    Aim North America harbours the most diverse freshwater mussel fauna on Earth. This fauna has high endemism at the continental scale and within individual river systems. Previous faunal classifications for North America were based on intuitive, subjective assessments of species distributions, primarily the occurrence of endemic species, and do not portray continent-wide...

  4. A classification of the multiple criteria decision making models


    Luis Angel Guerras Martín


    In this work we have tried to present a classification of multiobjective techniques based in the relationship between the main subJects of decision process: analyst and decision maker. These relation, in terms of information flows, have important consequences for decision making processes in business organizations.

  5. Automatic workflow for the classification of local DNA conformations

    Czech Academy of Sciences Publication Activity Database

    Čech, P.; Kukal, J.; Černý, Jiří; Schneider, Bohdan; Svozil, D.


    Roč. 14, č. 205 (2013) ISSN 1471-2105 R&D Projects: GA ČR GAP305/12/1801 Institutional research plan: CEZ:AV0Z50520701 Keywords : DNA * Dinucleotide conformation * Classification * Machine learning * Neural network * k-NN * Cluster analysis Subject RIV: EB - Genetics ; Molecular Biology Impact factor: 2.672, year: 2013

  6. Butter and butter oil classification by PTR-MS

    NARCIS (Netherlands)

    Ruth, van S.M.; Koot, A.H.; Akkermans, W.; Araghipour, N.; Rozijn, M.; Baltussen, M.A.H.; Wisthaler, A.; Mark, T.D.; Frankhuizen, R.


    The potential of proton transfer reaction mass spectrometry (PTR-MS) as a tool for classification of milk fats was evaluated in relation to quality and authentication issues. Butters and butter oils were subjected to heat and off-flavouring treatments in order to create sensorially defective

  7. Using support vector machines with multiple indices of diffusion for automated classification of mild cognitive impairment

    NARCIS (Netherlands)

    O'Dwyer, L.G.; Lamberton, F.; Bokde, A.L.; Ewers, M.; Faluyi, Y.O.; Tanner, C.; Mazoyer, B.; O'Neill, D.; Bartley, M.; Collins, D.R.; Coughlan, T.; Prvulovic, D.; Hampel, H.


    Few studies have looked at the potential of using diffusion tensor imaging (DTI) in conjunction with machine learning algorithms in order to automate the classification of healthy older subjects and subjects with mild cognitive impairment (MCI). Here we apply DTI to 40 healthy older subjects and 33

  8. Asthma in pregnancy: association between the Asthma Control Test and the Global Initiative for Asthma classification and comparisons with spirometry. (United States)

    de Araujo, Georgia Véras; Leite, Débora F B; Rizzo, José A; Sarinho, Emanuel S C


    The aim of this study was to identify a possible association between the assessment of clinical asthma control using the Asthma Control Test (ACT) and the Global Initiative for Asthma (GINA) classification and to perform comparisons with values of spirometry. Through this cross-sectional study, 103 pregnant women with asthma were assessed in the period from October 2010 to October 2013 in the asthma pregnancy clinic at the Clinical Hospital of the Federal University of Pernambuco. Questionnaires concerning the level of asthma control were administered using the Global Initiative for Asthma classification, the Asthma Control Test validated for asthmatic expectant mothers and spirometry; all three methods of assessing asthma control were performed during the same visit between the twenty-first and twenty-seventh weeks of pregnancy. There was a significant association between clinical asthma control assessment using the Asthma Control Test and the Global Initiative for Asthma classification (pTest can be used for asthmatic expectant mothers to assess the clinical control of asthma, especially at the end of the second trimester, which is assumed to be the period of worsening asthma exacerbations during pregnancy. We highlight the importance of the Asthma Control Test as a subjective instrument with easy application, easy interpretation and good reproducibility that does not require spirometry to assess the level of asthma control and can be used in the primary care of asthmatic expectant mothers. Copyright © 2016 Elsevier Ireland Ltd. All rights reserved.

  9. Automatic diabetic retinopathy classification (United States)

    Bravo, María. A.; Arbeláez, Pablo A.


    Diabetic retinopathy (DR) is a disease in which the retina is damaged due to augmentation in the blood pressure of small vessels. DR is the major cause of blindness for diabetics. It has been shown that early diagnosis can play a major role in prevention of visual loss and blindness. This work proposes a computer based approach for the detection of DR in back-of-the-eye images based on the use of convolutional neural networks (CNNs). Our CNN uses deep architectures to classify Back-of-the-eye Retinal Photographs (BRP) in 5 stages of DR. Our method combines several preprocessing images of BRP to obtain an ACA score of 50.5%. Furthermore, we explore subproblems by training a larger CNN of our main classification task.

  10. Nursing interventions classification (NIC). (United States)

    Bulechek, G M; McCloskey, J C


    The Nursing Interventions Classification (NIC) is the first comprehensive classification of treatments that nurses perform. It is a standardized language of both nurse-initiated and physician-initiated nursing treatments. An alphabetical listing of 336 interventions was published in a book in May 1992 [Iowa Intervention Project, McCloskey, J. C., & Bulechek, G. M. (eds). Nursing Interventions Classification (NIC). St. Louis: Mosby-Year Book]. Each NIC intervention is composed of a label, a definition, a set of activities that a nurse does to carry out the intervention, and a short list of background readings. NIC interventions include: the physiological (e.g., Acid-Base Management, Airway Suctioning, Pressure Ulcer Care) and the psychosocial (e.g., Anxiety Reduction, Preparatory Sensory Information, Home Maintenance Assistance); illness treatment (e.g., Hyperglycemia Management, Ostomy Care, Shock Management), illness prevention (e.g., Fall Prevention, Infection Protection, Immunization/Vaccination Administration), and health promotion (e.g., Exercise Promotion, Nutrition Management, Smoking Cessation Assistance); and those used for individuals and those for families (e.g., Family Integrity Promotion, Family Support). Most recently, indirect care interventions (e.g., Emergency Cart Checking, Supply Management) have been developed. Research methods used to develop the classification include content analysis, expert survey, focus group review, similarity analysis, and hierarchical cluster analysis. The research, conducted by a large team of investigators at the University of Iowa and supported by the National Institute of Nursing Research, is ongoing. Since the 1992 publication, approximately 50 additional interventions have been developed, a taxonomic structure has been constructed and validated, a feedback and review system has been established and implemented, NIC interventions have been linked to nursing diagnoses, and five clinical agencies are serving as field

  11. Nonlinear estimation and classification

    CERN Document Server

    Hansen, Mark; Holmes, Christopher; Mallick, Bani; Yu, Bin


    Researchers in many disciplines face the formidable task of analyzing massive amounts of high-dimensional and highly-structured data This is due in part to recent advances in data collection and computing technologies As a result, fundamental statistical research is being undertaken in a variety of different fields Driven by the complexity of these new problems, and fueled by the explosion of available computer power, highly adaptive, non-linear procedures are now essential components of modern "data analysis," a term that we liberally interpret to include speech and pattern recognition, classification, data compression and signal processing The development of new, flexible methods combines advances from many sources, including approximation theory, numerical analysis, machine learning, signal processing and statistics The proposed workshop intends to bring together eminent experts from these fields in order to exchange ideas and forge directions for the future

  12. Translation between the Neer- and the AO/OTA-classification for proximal humeral fractures

    DEFF Research Database (Denmark)

    Brorson, Stig; Eckardt, Henrik; Audigé, Laurent


    The reporting and interpretation of data from clinical trials of proximal humeral fractures are hampered by the use of two partly incommensurable fracture classification systems: the Neer classification and the AO/OTA classification. It remains difficult to interpret and generalize results......, to conduct prognostic studies, and to obtain consensus on treatment recommendations when concise definitions and a common 'fracture language' are lacking. Thus, we compared both classifications systems using primary data from large clinical studies to assess how thoroughly both systems conveyed clinically...

  13. Estimating Subjective Probabilities

    DEFF Research Database (Denmark)

    Andersen, Steffen; Fountain, John; Harrison, Glenn W.

    Subjective probabilities play a central role in many economic decisions, and act as an immediate confound of inferences about behavior, unless controlled for. Several procedures to recover subjective probabilities have been proposed, but in order to recover the correct latent probability one must...

  14. Estimating Subjective Probabilities

    DEFF Research Database (Denmark)

    Andersen, Steffen; Fountain, John; Harrison, Glenn W.


    Subjective probabilities play a central role in many economic decisions and act as an immediate confound of inferences about behavior, unless controlled for. Several procedures to recover subjective probabilities have been proposed, but in order to recover the correct latent probability one must ...

  15. Subjective meaning: an introduction

    NARCIS (Netherlands)

    van Wijnbergen-Huitink, Janneke; van Wijbergen-Huitink, Janneke; Meier, Cécile

    This introductory chapter traces some of the considerations on the basis of which relativistic approaches to subjective meaning became en vogue. In doing so, the chapter provides an overview of the relevant linguistic and philosophical issues when developing a treatment of subjectivity. In addition,

  16. Subjective safety in traffic.

    NARCIS (Netherlands)


    The term ‘subjective safety in traffic’ refers to people feeling unsafe in traffic or, more generally, to anxiety regarding being unsafe in traffic for oneself and/or others. Subjective safety in traffic can lead to road users limiting their mobility and social activities, which is one of the

  17. Subjective poverty line definitions

    NARCIS (Netherlands)

    J. Flik; B.M.S. van Praag (Bernard)


    textabstractIn this paper we will deal with definitions of subjective poverty lines. To measure a poverty threshold value in terms of household income, which separates the poor from the non-poor, we take into account the opinions of all people in society. Three subjective methods will be discussed

  18. 15 CFR 2008.9 - Classification guides. (United States)


    ... 15 Commerce and Foreign Trade 3 2010-01-01 2010-01-01 false Classification guides. 2008.9 Section... REPRESENTATIVE Derivative Classification § 2008.9 Classification guides. Classification guides shall be issued by... direct derivative classification, shall identify the information to be protected in specific and uniform...

  19. 32 CFR 2400.15 - Classification guides. (United States)


    ... 32 National Defense 6 2010-07-01 2010-07-01 false Classification guides. 2400.15 Section 2400.15... Derivative Classification § 2400.15 Classification guides. (a) OSTP shall issue and maintain classification guides to facilitate the proper and uniform derivative classification of information. These guides shall...

  20. 6 CFR 7.26 - Derivative classification. (United States)


    ... 6 Domestic Security 1 2010-01-01 2010-01-01 false Derivative classification. 7.26 Section 7.26... INFORMATION Classified Information § 7.26 Derivative classification. (a) Derivative classification is defined... classification guides. (c) Persons who apply derivative classification markings shall observe original...

  1. 12 CFR 403.4 - Derivative classification. (United States)


    ... 12 Banks and Banking 4 2010-01-01 2010-01-01 false Derivative classification. 403.4 Section 403.4... SAFEGUARDING OF NATIONAL SECURITY INFORMATION § 403.4 Derivative classification. (a) Use of derivative classification. (1) Unlike original classification which is an initial determination, derivative classification...

  2. 46 CFR 503.55 - Derivative classification. (United States)


    ... 46 Shipping 9 2010-10-01 2010-10-01 false Derivative classification. 503.55 Section 503.55... Security Program § 503.55 Derivative classification. (a) In accordance with Part 2 of Executive Order 12958... derivative classification. (1) Derivative classification includes the classification of information based on...

  3. 45 CFR 601.5 - Derivative classification. (United States)


    ... 45 Public Welfare 3 2010-10-01 2010-10-01 false Derivative classification. 601.5 Section 601.5... CLASSIFICATION AND DECLASSIFICATION OF NATIONAL SECURITY INFORMATION § 601.5 Derivative classification. Distinct... classification guide, need not possess original classification authority. (a) If a person who applies derivative...

  4. 5 CFR 1312.7 - Derivative classification. (United States)


    ... 5 Administrative Personnel 3 2010-01-01 2010-01-01 false Derivative classification. 1312.7 Section... Declassification of National Security Information § 1312.7 Derivative classification. A derivative classification... another agency or classification authority. The application of derivative classification markings is the...

  5. Arteriosclerosis: rethinking the current classification. (United States)

    Fishbein, Gregory A; Fishbein, Michael C


    Arteriosclerosis is the vascular disease that is the leading cause of mortality in industrialized countries. Currently, there are 3 lesions within the broader category of arteriosclerosis: atherosclerosis, Mönckeberg medial calcific sclerosis, and arteriolosclerosis. In this review, we discuss the history of the terminology and current classification of arteriosclerosis and problems with the current classification. We also discuss recently described new arterial lesions that are not in the current classification. In spite of the prevalence and importance of arteriosclerotic vascular disease, and the widespread use of the current terminology, there are major problems with the current classification: (1) the current classification has an inconsistent naming convention, (2) the classification fails to use terms that accurately describe the lesions, and (3) important arterial lesions are absent from the classification. In addition, although the terms arteriosclerosis and atherosclerosis describe different lesions, these terms are often used interchangeably. Consideration should be given for a new more inclusive and accurate classification of "arteriosclerotic" lesions that more accurately reflects the pathology of these important vascular lesions.

  6. Exploratory Subject Searching in Library Catalogs: Reclaiming the Vision

    Directory of Open Access Journals (Sweden)

    Julia Bauder


    Full Text Available Librarians have had innovative ideas for ways to use subject and classification data to provide an improved online search experience for decades, and yet, after thirty-plus years of improvements in online catalogs, users continue to struggle with narrowing down their subject searches to produce manageable lists containing only relevant results. This article reports on one attempt to rectify that situation by radically re-envisioning the library catalog interface, enabling users to interact with and explore their search results in a profoundly different way. This new interface gives users the option of viewing a graphical overview of their results, grouped by discipline and subject. Results are depicted as a two-level treemap, which gives users a visual representation of the disciplinary perspectives (as represented by the main classes of the Library of Congress Classification and topics (as represented by elements of the Library of Congress Subject Headings included in the results.

  7. Primary Processing

    NARCIS (Netherlands)

    Mulder, W.J.; Harmsen, P.F.H.; Sanders, J.P.M.; Carre, P.; Kamm, B.; Schoenicke, P.


    Primary processing of oil-containing material involves pre-treatment processes, oil recovery processes and the extraction and valorisation of valuable compounds from waste streams. Pre-treatment processes, e.g. thermal, enzymatic, electrical and radio frequency, have an important effect on the oil

  8. [Classification of viruses by computer]. (United States)

    Ageeva, O N; Andzhaparidze, O G; Kibardin, V M; Nazarova, G M; Pleteneva, E A


    The study used the information mass containing information on 83 viruses characterized by 41 markers. The suitability of one of the variants of cluster analysis for virus classification was demonstrated. It was established that certain stages of automatic allotment of viruses into groups by the degree of similarity of their properties end the formation of groups which consist of viruses sufficiently close to each other by their properties and are sufficiently isolated. Comparison of these groups with the classification proposed by the ICVT established their correspondence to individual families. Analysis of the obtained classification system permits sufficiently grounded conclusions to be drawn with regard to the classification position of certain viruses, the classification of which has not yet been completed by the ICVT.

  9. Information Classification on University Websites

    DEFF Research Database (Denmark)

    Nawaz, Ather; Clemmensen, Torkil; Hertzum, Morten


    Websites are increasingly used as a medium for providing information to university students. The quality of a university website depends on how well the students’ information classification fits with the structure of the information on the website. This paper investigates the information...... classification of 14 Danish and 14 Pakistani students and compares it with the information classification of their university website. Brainstorming, card sorting, and task exploration activities were used to discover similarities and differences in the participating students’ classification of website...... information and their ability to navigate the websites. The results of the study indicate group differences in user classification and related taskperformance differences. The main implications of the study are that (a) the edit distance appears a useful measure in cross-country HCI research and practice...

  10. Information Classification on University Websites

    DEFF Research Database (Denmark)

    Nawaz, Ather; Clemmensen, Torkil; Hertzum, Morten


    Websites are increasingly used as a medium for providing information to university students. The quality of a university website depends on how well the students’ information classification fits with the structure of the information on the website. This paper investigates the information...... classification of 14 Danish and 14 Pakistani students and compares it with the information classification of their university website. Brainstorming, card sorting, and task exploration activities were used to discover similarities and differences in the participating students’ classification of website...... information and their ability to navigate the websites. The results of the study indicate group differences in user classification and related task-performance differences. The main implications of the study are that (a) the edit distance appears a useful measure in cross-country HCI research and practice...

  11. Information Classification on University Websites

    DEFF Research Database (Denmark)

    Nawaz, Ather; Clemmensen, Torkil; Hertzum, Morten


    Websites are increasingly used as a medium for providing information to university students. The quality of a university website depends on how well the students’ information classification fits with the structure of the information on the website. This paper investigates the information...... classification of 14 Danish and 14 Pakistani students and compares it with the information classification of their university website. Brainstorming, card sorting and task exploration activities were used to discover similarities and differences in the participating students’ classification of website...... information and their ability to navigate the websites. The results of the study indicated group differences in user classification and related task performances differences. The main implications of the study were that (a) the edit distance appears a useful measure in cross-country HCI research and practice...

  12. Unifying Subjectivity and Objectivity

    Directory of Open Access Journals (Sweden)

    Murugesan Chandrasekaran


    Full Text Available The contribution of modern science to the progress of civilization is immeasurable. Even its tendency toward exclusive concentration on the objective world has had salutary effects of great value. Modern science has wiped away much that was merely superstitious or speculative. Its rejection of unfounded opinions and prejudices has helped the thinking mind question conventional beliefs, shed preferences and prejudices, and challenge established authority. But modern systems thinking inherited from natural science is the suppression of the subjective dimension of reality. Many complex systems are an attempt to define and represent all subjective experience in physical terms. The modern man has a bias towards objectivity. The powerful influence of sense impressions on his mind and thinking makes him ignore the subjective experience and consider only objective facts as a valid, legitimate and representation of reality. Observing objective factors that are physical is easier than observing subjective factors that are subtle. The mechanistic view of reality has led to the rejection of the role of the individual in social development as insignificant. The individuals determine the development of society. Their social power has its roots both in subjective factors and objective factors. Economy, politics, society, and culture are inseparable dimensions of a single integrated reality. Subject and object constitute an integrated whole. The mind sees them as separate and independent. Or it views one as completely subordinate to the other. Unbiased approach to the study of all human experiences may prove that subject and object are interdependent dimensions or elements of reality.


    Directory of Open Access Journals (Sweden)

    Sushil Chandra


    Full Text Available The objective of this experiment was to determine the best possible input EEG feature for classification of the workload while designing load balancing logic for an automated operator. The input features compared in this study consisted of spectral features of Electroencephalography, objective scoring and subjective scoring. Method utilizes to identify best EEG feature as an input in Neural Network Classifiers for workload classification, to identify channels which could provide classification with the highest accuracy and for identification of EEG feature which could give discrimination among workload level without adding any classifiers. The result had shown Engagement Index is the best feature for neural network classification.


    Directory of Open Access Journals (Sweden)

    D.N. Bakhrakh


    Full Text Available The question about the subjects of law branches is concerning the number of most important and difficult in law science. Its right decision influences on the subject of law regulation, precise definition of addressees of law norms, the volume of their rights and duties, the limits of action of norms of Main part of the branch, its principles. Scientific investigations, dedicated to law subjects system, promote the development of recommendations for the legislative and law applying activity; they are needed for scientific work organization and student training, for preparing qualified lawyers.

  15. Kinematical and EMG-classifications of a fencing attack. (United States)

    Frère, J; Göpfert, B; Nüesch, C; Huber, C; Fischer, M; Wirz, D; Friederich, N F


    8 expert fencers were studied with a 3-dimensional motion analysis system. Each subject performed 10 flèche attacks toward a standardized target. Surface electromyography signals (EMG) were recorded of the deltoid pars clavicularis, infraspinatus and triceps brachii caput laterale muscles of the weapon arm. The recorded EMGs were averaged using EMG wavelet-transformation software. 4 phases were defined based on the arm kinematics and used to classify fencers into 2 groups. A first group of 4 fencers showed an early maximal elbow extension (Early MEE) whereas the second group presented a late maximal elbow extension (Late MEE). 2 EMG-classifications were based on this kinematical classification, one in the time-domain and the other in the frequency-domain by using the spherical classification. The time-domain EMG-classification showed a significantly ( P=0.03) higher normalized deltoid intensity for the Early MEE group (91 ± 18%) than the Late MEE group (36 ± 13%) in the attack phase. The spherical classification revealed that the activity of all the muscles was significantly classified (recognition rate 75%, P=0.04) between the 2 groups. This study of EMG and kinematics of the weapon upper limb in fencing proposes several classifications, which implies a relationship between kinematic strategies, muscular activations and fencing success. © Georg Thieme Verlag KG Stuttgart · New York.

  16. Classification of soils of Russia: Discussion on the internet site (United States)

    Gerasimova, M. I.; Khokhlov, S. F.


    The work of the Dokuchaev Soil Institute site on soil classification during the last three years is analyzed. The main subject of the discussion is the Classification and Diagnostics of Soils of Russia (2004) as compared to the classification of 1977. The website's visitors, mainly soil scientists performing survey under contracts or involved in organizing environmental monitoring consult the diagnostics and names of their objects according to the new classification. The principles and structure of the classification system and criteria for distinguishing the basic taxa are accepted by practically everybody; the proposals on the correction of the diagnostics of soil horizons and their characteristics are made for a wide spectrum of soils. Many of the suggestions were taken into account by the authors in the last edition of this classification (2008). The users of the site are especially interested in anthropogenically modified soils, primarily in urban soils and soils disturbed by mining operations. Among the site's visitors are many students and postgraduates, who are especially active during the examination periods.

  17. Improving EEG-Based Emotion Classification Using Conditional Transfer Learning

    Directory of Open Access Journals (Sweden)

    Yuan-Pin Lin


    Full Text Available To overcome the individual differences, an accurate electroencephalogram (EEG-based emotion-classification system requires a considerable amount of ecological calibration data for each individual, which is labor-intensive and time-consuming. Transfer learning (TL has drawn increasing attention in the field of EEG signal mining in recent years. The TL leverages existing data collected from other people to build a model for a new individual with little calibration data. However, brute-force transfer to an individual (i.e., blindly leveraged the labeled data from others may lead to a negative transfer that degrades performance rather than improving it. This study thus proposed a conditional TL (cTL framework to facilitate a positive transfer (improving subject-specific performance without increasing the labeled data for each individual. The cTL first assesses an individual’s transferability for positive transfer and then selectively leverages the data from others with comparable feature spaces. The empirical results showed that among 26 individuals, the proposed cTL framework identified 16 and 14 transferable individuals who could benefit from the data from others for emotion valence and arousal classification, respectively. These transferable individuals could then leverage the data from 18 and 12 individuals who had similar EEG signatures to attain maximal TL improvements in valence- and arousal-classification accuracy. The cTL improved the overall classification performance of 26 individuals by ~15% for valence categorization and ~12% for arousal counterpart, as compared to their default performance based solely on the subject-specific data. This study evidently demonstrated the feasibility of the proposed cTL framework for improving an individual’s default emotion-classification performance given a data repository. The cTL framework may shed light on the development of a robust emotion-classification model using fewer labeled subject

  18. Improving EEG-Based Emotion Classification Using Conditional Transfer Learning. (United States)

    Lin, Yuan-Pin; Jung, Tzyy-Ping


    To overcome the individual differences, an accurate electroencephalogram (EEG)-based emotion-classification system requires a considerable amount of ecological calibration data for each individual, which is labor-intensive and time-consuming. Transfer learning (TL) has drawn increasing attention in the field of EEG signal mining in recent years. The TL leverages existing data collected from other people to build a model for a new individual with little calibration data. However, brute-force transfer to an individual (i.e., blindly leveraged the labeled data from others) may lead to a negative transfer that degrades performance rather than improving it. This study thus proposed a conditional TL (cTL) framework to facilitate a positive transfer (improving subject-specific performance without increasing the labeled data) for each individual. The cTL first assesses an individual's transferability for positive transfer and then selectively leverages the data from others with comparable feature spaces. The empirical results showed that among 26 individuals, the proposed cTL framework identified 16 and 14 transferable individuals who could benefit from the data from others for emotion valence and arousal classification, respectively. These transferable individuals could then leverage the data from 18 and 12 individuals who had similar EEG signatures to attain maximal TL improvements in valence- and arousal-classification accuracy. The cTL improved the overall classification performance of 26 individuals by ~15% for valence categorization and ~12% for arousal counterpart, as compared to their default performance based solely on the subject-specific data. This study evidently demonstrated the feasibility of the proposed cTL framework for improving an individual's default emotion-classification performance given a data repository. The cTL framework may shed light on the development of a robust emotion-classification model using fewer labeled subject-specific data toward a

  19. Natural control capabilities of robotic hands by hand amputated subjects. (United States)

    Atzori, Manfredo; Gijsberts, Arjan; Caputo, Barbara; Muller, Henning


    People with transradial hand amputations who own a myoelectric prosthesis currently have some control capabilities via sEMG. However, the control systems are still limited and not natural. The Ninapro project is aiming at helping the scientific community to overcome these limits through the creation of publicly available electromyography data sources to develop and test machine learning algorithms. In this paper we describe the movement classification results gained from three subjects with an homogeneous level of amputation, and we compare them with the results of 40 intact subjects. The number of considered subjects can seem small at first sight, but it is not considering the literature of the field (which has to face the difficulty of recruiting trans-radial hand amputated subjects). The classification is performed with four different classifiers and the obtained balanced classification rates are up to 58.6% on 50 movements, which is an excellent result compared to the current literature. Successively, for each subject we find a subset of up to 9 highly independent movements, (defined as movements that can be distinguished with more than 90% accuracy), which is a deeply innovative step in literature. The natural control of a robotic hand in so many movements could lead to an immediate progress in robotic hand prosthetics and it could deeply change the quality of life of amputated subjects.

  20. The Data Subject

    DEFF Research Database (Denmark)

    Blume, Peter


    This article considers whether it is fortunate that data protection rules, as a starting point, apply to all physical persons as data subjects, or whether it would be better to differentiate between kinds of persons on grounds of their ability to act as a data subject. In order to protect all...... persons, it is argued that a principle of care should be part of data protection law....

  1. Hyperthyroidism (primary)

    DEFF Research Database (Denmark)

    Nygaard, Birte


    Hyperthyroidism is characterised by high levels of serum thyroxine and triiodothyronine, and low levels of thyroid-stimulating hormone. The main causes of hyperthyroidism are Graves' disease, toxic multinodular goitre, and toxic adenoma. About 20 times more women than men have hyperthyroidism....... METHODS AND OUTCOMES: We conducted a systematic review and aimed to answer the following clinical questions: What are the effects of drug treatments for primary hyperthyroidism? What are the effects of surgical treatments for primary hyperthyroidism? What are the effects of treatments for subclinical...... hyperthyroidism? We searched: Medline, Embase, The Cochrane Library, and other important databases up to February 2010 (Clinical Evidence reviews are updated periodically, please check our website for the most up-to-date version of this review). We included harms alerts from relevant organisations such as the US...


    Directory of Open Access Journals (Sweden)

    Zoya V. Savchenko


    Full Text Available The description of the most widespread universal library classifications (Decimal Classification of D'yui (DKD, Universal Decimal Classification (UDK, Classification of Library of Congress (KBK, Library-Bibliographic Classification (BBK are analysed in the article. Histories of these systems development and features of their use in modern informative services as well as the example of construction of electronic library classifiers on the base of the library classifications of DKD and KBK are given.



    Zoya V. Savchenko


    The description of the most widespread universal library classifications (Decimal Classification of D'yui (DKD), Universal Decimal Classification (UDK), Classification of Library of Congress (KBK), Library-Bibliographic Classification (BBK)) are analysed in the article. Histories of these systems development and features of their use in modern informative services as well as the example of construction of electronic library classifiers on the base of the library classifications of DKD and KBK...

  4. Report of the Racism and Sexism in Subject Analysis Subcommittee to the RTSD/CCS Subject Analysis Committee, Midwinter 1980. (United States)

    Dickinson, Elizabeth M.; And Others

    Directed toward the eradication of sexual and racial bias in bibliographic systems, the subcommittee reports its progress in the identification of areas of classification systems and subject headings requiring change. A policy statement and six guidelines establish a framework for three categories of projects: (1) the need for changes in Library…

  5. Biometric Authentication for Gender Classification Techniques: A Review (United States)

    Mathivanan, P.; Poornima, K.


    One of the challenging biometric authentication applications is gender identification and age classification, which captures gait from far distance and analyze physical information of the subject such as gender, race and emotional state of the subject. It is found that most of the gender identification techniques have focused only with frontal pose of different human subject, image size and type of database used in the process. The study also classifies different feature extraction process such as, Principal Component Analysis (PCA) and Local Directional Pattern (LDP) that are used to extract the authentication features of a person. This paper aims to analyze different gender classification techniques that help in evaluating strength and weakness of existing gender identification algorithm. Therefore, it helps in developing a novel gender classification algorithm with less computation cost and more accuracy. In this paper, an overview and classification of different gender identification techniques are first presented and it is compared with other existing human identification system by means of their performance.

  6. Exploiting accelerometers to improve movement classification for prosthetics. (United States)

    Gijsberts, Arjan; Caputo, Barbara


    Recent studies have explored the integration of additional input modalities to improve myoelectric control of prostheses. Arm dynamics in particular are an interesting option, as these can be measured easily by means of accelerometers. In this work, the benefit of accelerometer signals is demonstrated on a large scale movement classification task, consisting of 40 hand and wrist movements obtained from 20 subjects. The results demonstrate that the accelerometer modality is indeed highly informative and even outperforms surface electromyography in terms of classification accuracy. The highest accuracy, however, is obtained when both modalities are integrated in a multi-modal classifier.

  7. Comparison between different papillary recession classification systems

    Directory of Open Access Journals (Sweden)

    Li-Ching Chang


    Conclusion: This study confirmed a significant correlation between the two existing classification methods. The proposed PR classification system characterizes open embrasures in greater detail than previous systems.

  8. Systema Naturae. Classification of living things.


    Alexey Shipunov


    Original classification of living organisms containing four kingdoms (Monera, Protista, Vegetabilia and Animalia), 60 phyla and 254 classes, is presented. The classification is based on latest available information.

  9. Target Decomposition Techniques & Role of Classification Methods for Landcover Classification (United States)

    Singh, Dharmendra; Mittal, Gunjan

    Target decomposition techniques aims at analyzing the received scattering matrix from polari-metric data to extract information about the scattering processes. Incoherent techniques have been modeled in recent years for providing more general approach for decomposition of natural targets. Therefore, there is a need to study and critically analyze the developing models for their suitability in classification of land covers. Moreover, the classification methods used for the segmentation of various landcovers from the decomposition techniques need to be examined as the appropriate selection of these methods affect the performance of the decomposition tech-niques for landcover classification. Therefore in the present paper, it is attempted to check the performance of various model based and an eigen vector based decomposition techniques for decomposition of Polarimetric PALSAR (Phased array type L band SAR) data. Few generic supervised classifiers were used for classification of decomposed images into three broad classes of water, urban and agriculture lands. For the purpose, algorithms had been applied twice on pre-processed PALSAR raw data once on spatial averaged (mean filtering on 33 window) data and the other on data, multilooked in azimuth direction by six looks and then filtered using Wishart Gamma MAP on 55 window. Classification of the decomposed images from each of the methods had been done using four supervised classifiers (parallelepiped, minimum distance, Mahalanobis and maximum likelihood). Ground truth data generated with the help of ground survey points, topographic sheet and google earth was used for the computation of classification accuracy. Parallelepiped classifier gave better classification accuracy of water class for all the models excluding H/A/Alpha. Minimum distance classifier gave better classification results for urban class. Maximum likelihood classifier performed well as compared to other classifiers for classification of vegetation class

  10. Multi-Subject fMRI Generalization with| Independent Component Representation

    DEFF Research Database (Denmark)

    Madsen, Rasmus Elsborg


    Generalizability in a multi-subject fMRI study is investigated. The analysis is based on principal and independent component representations. Subsequent supervised learning and classification is carried out by canonical variates analysis and clustering methods. The generalization error is estimated....... It is shown that independent component representation leads to improvement in the classification rate, and that canonical variates analysis is needed for making generalization cross multiple subjects....

  11. ADHD classification using bag of words approach on network features (United States)

    Solmaz, Berkan; Dey, Soumyabrata; Rao, A. Ravishankar; Shah, Mubarak


    Attention Deficit Hyperactivity Disorder (ADHD) is receiving lots of attention nowadays mainly because it is one of the common brain disorders among children and not much information is known about the cause of this disorder. In this study, we propose to use a novel approach for automatic classification of ADHD conditioned subjects and control subjects using functional Magnetic Resonance Imaging (fMRI) data of resting state brains. For this purpose, we compute the correlation between every possible voxel pairs within a subject and over the time frame of the experimental protocol. A network of voxels is constructed by representing a high correlation value between any two voxels as an edge. A Bag-of-Words (BoW) approach is used to represent each subject as a histogram of network features; such as the number of degrees per voxel. The classification is done using a Support Vector Machine (SVM). We also investigate the use of raw intensity values in the time series for each voxel. Here, every subject is represented as a combined histogram of network and raw intensity features. Experimental results verified that the classification accuracy improves when the combined histogram is used. We tested our approach on a highly challenging dataset released by NITRC for ADHD-200 competition and obtained promising results. The dataset not only has a large size but also includes subjects from different demography and edge groups. To the best of our knowledge, this is the first paper to propose BoW approach in any functional brain disorder classification and we believe that this approach will be useful in analysis of many brain related conditions.

  12. Cardiomyopathies: is it time for a molecular classification? (United States)

    Thiene, Gaetano; Corrado, Domenico; Basso, Cristina


    Primary myocardial diseases have always attracted the interest of the scientific community because of their obscure aetiopathogenesis. For years there was a confusion and controversy over their definition and classification. The 1995 WHO classification led to major advancements such as the introduction of a unified terminology, the official recognition of novel entities (arrhythmogenic right ventricular and idiopathic restrictive cardiomyopathies) and the definitive clarification that inflammatory heart disease has to be regarded as a cardiomyopathy. However, according to the new definition of cardiomyopathies as diseases of the myocardium associated with cardiac dysfunction, they should include not only forms with depressed contractility and impaired diastolic function, but also conduction and rhythm disturbances and enhanced arrhythmogenicity. Moreover, the recent development of molecular genetics, with the discovery of a genetic background in several forms previously defined of unknown origin, raises the need of a debate on a possible classification based on genomics.

  13. The classification of easement

    Directory of Open Access Journals (Sweden)

    Popov Danica D.


    Full Text Available Easement means, a right enjoyed by the owner of land over the lands of another: such as rights of way, right of light, rights of support, rights to a flow of air or water etc. The dominant tenement is the land owned by the possessor of the easement, and the servient tenement is the land over which the right is enjoyed. An easement must exist for the accommodation and better enjoyment to which it is annexed, otherwise it may amount to mere licence. An easement benefits and binds the land itself and therefore countinious despite any change of ownership of either dominant or servient tenement, although it will be extinguished if the two tenemants come into common ownership. An easement can only be enjoyed in respect of land. This means two parcels of land. First there must be a 'dominant tenement' and a 'servient tenement'. Dominant tenement to which the benefit of the easement attaches, and another (servient tenement which bears the burden of the easement. A positive easement consist of a right to do something on the land of another; a negative easement restrict the use of owner of the serviant tenement may make of his land. An easement may be on land or on the house made on land. The next classification is on easement on the ground, and the other one under the ground. An easement shall be done in accordance with the principle of restrictions. This means that the less burden the servient tenement. When there is doubt about the extent of the actual easement shall take what easier the servient tenement. The new needs of the dominant estate does not result in the expansion of servitude. In the article is made comparison between The Draft Code of property and other real estate, and The Draft of Civil Code of Serbia.

  14. Classification and clinical assessment

    Directory of Open Access Journals (Sweden)

    F. Cantini


    Full Text Available There are at least nine classification criteria for psoriatic arthritis (PsA that have been proposed and used in clinical studies. With the exception of the ESSG and Bennett rules, all of the other criteria sets have a good performance in identifying PsA patients. As the CASPAR criteria are based on a robust study methodology, they are considered the current reference standard. However, if there seems to be no doubt that they are very good to classify PsA patients (very high specificity, they might be not sensitive enough to diagnose patients with unknown early PsA. The vast clinical heterogeneity of PsA makes its assessment very challenging. Peripheral joint involvement is measured by 78/76 joint counts, spine involvement by the instruments used for ankylosing spondylitis (AS, dactylitis by involved digit count or by the Leeds dactylitis index, enthesitis by the number of affected entheses (several indices available and psoriasis by the Psoriasis Area and Severity Index (PASI. Peripheral joint damage can be assessed by a modified van der Heijde-Sharp scoring system and axial damage by the methods used for AS or by the Psoriatic Arthritis Spondylitis Radiology Index (PASRI. As in other arthritides, global evaluation of disease activity and severity by patient and physician and assessment of disability and quality of life are widely used. Finally, composite indices that capture several clinical manifestations of PsA have been proposed and a new instrument, the Psoriatic ARthritis Disease Activity Score (PASDAS, is currently being developed.

  15. Classification of Cortical Brain Malformations

    Directory of Open Access Journals (Sweden)

    J Gordon Millichap


    Full Text Available Clinical, radiological, and genetic classifications of 113 cases of malformations of cortical development (MCD were evaluated at the Erasmus Medical Center-Sophia Children's Hospital, Rotterdam, the Netherlands.

  16. VT Biodiversity Project - Bedrock Classification (United States)

    Vermont Center for Geographic Information — (Link to Metadata) This dataset is a five category, nine sub-category classification of the bedrock units appearing on the Centennial Geologic Map of Vermont. The...

  17. Classification of spacetimes with symmetry (United States)

    Hicks, Jesse W.

    Spacetimes with symmetry play a critical role in Einstein's Theory of General Relativity. Missing from the literature is a correct, usable, and computer accessible classification of such spacetimes. This dissertation fills this gap; specifically, we. i) give a new and different approach to the classification of spacetimes with symmetry using modern methods and tools such as the Schmidt method and computer algebra systems, resulting in ninety-two spacetimes; ii) create digital databases of the classification for easy access and use for researchers; iii) create software to classify any spacetime metric with symmetry against the new database; iv) compare results of our classification with those of Petrov and find that Petrov missed six cases and incorrectly normalized a significant number of metrics; v) classify spacetimes with symmetry in the book Exact Solutions to Einstein's Field Equations Second Edition by Stephani, Kramer, Macallum, Hoenselaers, and Herlt and in Komrakov's paper Einstein-Maxwell equation on four-dimensional homogeneous spaces using the new software.

  18. Vehicle classification using mobile sensors. (United States)


    In this research, the feasibility of using mobile traffic sensors for binary vehicle classification on arterial roads is investigated. Features (e.g. : speed related, acceleration/deceleration related, etc.) are extracted from vehicle traces (passeng...

  19. Deep Learning for ECG Classification (United States)

    Pyakillya, B.; Kazachenko, N.; Mikhailovsky, N.


    The importance of ECG classification is very high now due to many current medical applications where this problem can be stated. Currently, there are many machine learning (ML) solutions which can be used for analyzing and classifying ECG data. However, the main disadvantages of these ML results is use of heuristic hand-crafted or engineered features with shallow feature learning architectures. The problem relies in the possibility not to find most appropriate features which will give high classification accuracy in this ECG problem. One of the proposing solution is to use deep learning architectures where first layers of convolutional neurons behave as feature extractors and in the end some fully-connected (FCN) layers are used for making final decision about ECG classes. In this work the deep learning architecture with 1D convolutional layers and FCN layers for ECG classification is presented and some classification results are showed.

  20. [Definition and classification of epilepsy]. (United States)

    Jibiki, Itsuki


    The concept or definition of epilepsy was mentioned as a chronic disease of the brain consisting of repetitions of EEG paroxysm and clinical seizures caused by excessive discharges of the cerebral neurons, in reference with Gastaut's opinion and the other statements. Further, we referred to diseases to be excluded from epilepsy such as isolated, occasional and subclinical seizures and so on. Next, new classifications of seizures and epilepsies were explained on the basis of revised terminology and concepts for organization of seizures and epilepsies in Report of the ILAE Communication in Classification and Terminology, 2005-09, in comparison with the Classification of Epileptic Seizures in 1981 and the Classification of Epilepsies and Epileptic Syndromes in 1989.

  1. Subject (of documents)

    DEFF Research Database (Denmark)

    Hjørland, Birger


    such as concepts, aboutness, topic, isness and ofness are also briefly presented. The conclusion is that the most fruitful way of defining “subject” (of a document) is the documents informative or epistemological potentials, that is, the documents potentials of informing users and advance the development......This article presents and discuss the concept “subject” or subject matter (of documents) as it has been examined in library and information science (LIS) for more than 100 years. Different theoretical positions are outlined and it is found that the most important distinction is between document......-oriented views versus request-oriented views. The document-oriented view conceive subject as something inherent in documents, whereas the request-oriented view (or the policy based view) understand subject as an attribution made to documents in order to facilitate certain uses of them. Related concepts...

  2. Comparação entre indivíduos hemiparéticos com e sem histórico de quedas com base nos componentes da Classificação Internacional de Funcionalidade, Incapacidade e Saúde Comparison between post-stroke hemiparetic subjects with and without history of falls on the basis of the International Classification of Functioning, Disability and Health

    Directory of Open Access Journals (Sweden)

    Christina Danielli Coelho de Morais Faria


    Full Text Available O objetivo deste estudo foi comparar hemiparéticos com e sem histórico de quedas nos últimos seis meses (caidores e não-caidores segundo os componentes da Classificação Internacional de Funcionalidade, Incapacidade e Saúde. Dezesseis hemiparéticos não-caidores (62,3±16,6 anos, com tempo de acidente vascular encefálico (AVE de 38,0±48,3 meses, e 16 caidores (61,0±17,0 anos, tempo de AVE de 48,0±50,7 meses, de ambos os sexos, comunitários e deambuladores, foram avaliados quanto a funções e estruturas do corpo (torque do músculo quadríceps do lado parético e escala de depressão geriátrica, atividade - velocidade de marcha (VM natural e máxima, teste de levantar e caminhar cronometrado (timed up & go e escala de equilíbrio de Berg - e participação (pelo perfil de saúde de Nottingham e escala de qualidade de vida específica para AVE. Os dados foram tratados estatisticamente, com nível de significância αThe aim of this study was to compare post-stroke hemiparetic subjects with and without history of falls over the last six months by using the International Classification of Functioning, Disability and Health (ICF components. Sixteen community-dwelling hemiparetic subjects without history of falls (62.3±16.6 years, time since stroke 38±48.3 months, and 16 with history of fall(s (60.9±17 years, time since stroke 47.9±50.8 months of both sexes and able to walk, with or without assistive devices, were assessed as to ICF components body functions and structures (torque of the paretic limb quadriceps muscle and depression, by the geriatric depression scale, activities (natural and maximal gait speed, timed up-and-go test and Berg balance scale, and participation (by the Nottingham health profile and the stroke-specific quality of life scale. Groups were statistically compared at significance level α<0.05. No statistically significant differences were found between the groups as to age, gender or time since stroke (0.56

  3. Science of the subjective. (United States)

    Jahn, R G; Dunne, B J


    Over the greater portion of its long scholarly history, the particular form of human observation, reasoning, and technical deployment we properly term "science" has relied at least as much on subjective experience and inspiration as it has on objective experiments and theories. Only over the past few centuries has subjectivity been progressively excluded from the practice of science, leaving an essentially secular analytical paradigm. Quite recently, however, a compounding constellation of newly inexplicable physical evidence, coupled with a growing scholarly interest in the nature and capability of human consciousness, are beginning to suggest that this sterilization of science may have been excessive and could ultimately limit its epistemological reach and cultural relevance. In particular, an array of demonstrable consciousness-related anomalous physical phenomena, a persistent pattern of biological and medical anomalies, systematic studies of mind/brain relationships and the mechanics of human creativity, and a burgeoning catalogue of human factors effects within contemporary information processing technologies, all display empirical correlations with subjective aspects that greatly complicate, and in many cases preclude, their comprehension on strictly objective grounds. However, any disciplined re-admission of subjective elements into rigorous scientific methodology will hinge on the precision with which they can be defined, measured, and represented, and on the resilience of established scientific techniques to their inclusion. For example, any neo-subjective science, while retaining the logical rigor, empirical/theoretical dialogue, and cultural purpose of its rigidly objective predecessor, would have the following requirements: acknowledgment of a proactive role for human consciousness; more explicit and profound use of interdisciplinary metaphors; more generous interpretations of measurability, replicability, and resonance; a reduction of ontological

  4. S O S for the Astronomy Schedules of the Universal Decimal Classification - UDC 52 (United States)

    Shobbrook, R. M.

    One could equate the slow demise of the astronomy schedules in UDC with the sinking of the Titanic. Librarians are faced with a serious dilemma. Those using UDC 52 have been frustrated for some time with these archaic schedules which no longer reflect the advances in various subject areas of this science. UDC 52 has literally become a "mark and park" classification system. In other words there are few numbers which are specific to the subject matter in the current literature. It is reasonable to assume that most of the classification systems used in our libraries are not up-to-date with new subject developments. UDC has the potential for being one of the best classification systems in our field and a model for other classification systems. A life line is needed to stop this sytem sinking into oblivion or those using it may be faced with adopting a new system and the reclassification of the whole library.

  5. Gene expression based cancer classification


    Sara Tarek; Reda Abd Elwahab; Mahmoud Shoman


    Cancer classification based on molecular level investigation has gained the interest of researches as it provides a systematic, accurate and objective diagnosis for different cancer types. Several recent researches have been studying the problem of cancer classification using data mining methods, machine learning algorithms and statistical methods to reach an efficient analysis for gene expression profiles. Studying the characteristics of thousands of genes simultaneously offered a deep in...

  6. Phylogenetic classification of bony fishes. (United States)

    Betancur-R, Ricardo; Wiley, Edward O; Arratia, Gloria; Acero, Arturo; Bailly, Nicolas; Miya, Masaki; Lecointre, Guillaume; Ortí, Guillermo


    Fish classifications, as those of most other taxonomic groups, are being transformed drastically as new molecular phylogenies provide support for natural groups that were unanticipated by previous studies. A brief review of the main criteria used by ichthyologists to define their classifications during the last 50 years, however, reveals slow progress towards using an explicit phylogenetic framework. Instead, the trend has been to rely, in varying degrees, on deep-rooted anatomical concepts and authority, often mixing taxa with explicit phylogenetic support with arbitrary groupings. Two leading sources in ichthyology frequently used for fish classifications (JS Nelson's volumes of Fishes of the World and W. Eschmeyer's Catalog of Fishes) fail to adopt a global phylogenetic framework despite much recent progress made towards the resolution of the fish Tree of Life. The first explicit phylogenetic classification of bony fishes was published in 2013, based on a comprehensive molecular phylogeny ( ). We here update the first version of that classification by incorporating the most recent phylogenetic results. The updated classification presented here is based on phylogenies inferred using molecular and genomic data for nearly 2000 fishes. A total of 72 orders (and 79 suborders) are recognized in this version, compared with 66 orders in version 1. The phylogeny resolves placement of 410 families, or ~80% of the total of 514 families of bony fishes currently recognized. The ordinal status of 30 percomorph families included in this study, however, remains uncertain (incertae sedis in the series Carangaria, Ovalentaria, or Eupercaria). Comments to support taxonomic decisions and comparisons with conflicting taxonomic groups proposed by others are presented. We also highlight cases were morphological support exist for the groups being classified. This version of the phylogenetic classification of bony fishes is substantially improved, providing resolution

  7. Subjective facial analysis and its correlation with dental relationships

    Directory of Open Access Journals (Sweden)

    Gustavo Silva Siécola

    Full Text Available ABSTRACT INTRODUCTION: Subjective facial analysis is a diagnostic method that provides morphological analysis of the face. Thus, the aim of the present study was to compare the facial and dental diagnoses and investigate their relationship. METHODS: This sample consisted of 151 children (7 to 13 years old, without previous orthodontic treatment, analyzed by an orthodontist. Standardized extraoral and intraoral photographs were taken for the subjective facial classification according to Facial Pattern classification and occlusal analyses. It has been researched the occurrence of different Facial Patterns, the relationship between Facial Pattern classification in frontal and profile views, the relationship between Facial Patterns and Angle classification, and between anterior open bite and Long Face Pattern. RESULTS: Facial Pattern I was verified in 64.24% of the children, Pattern II in 21.29%, Pattern III in 6.62%, Long Face Pattern in 5.96% and Short Face Pattern in 1.99%. A substantial strength of agreement of approximately 84% between frontal and profile classification of Facial Pattern was observed (Kappa = 0.69. Agreement between the Angle classification and the Facial Pattern was seen in approximately 63% of the cases (Kappa = 0.27. Long Face Pattern did not present more open bite prevalence. CONCLUSION: Facial Patterns I and II were the most prevalent in children and the less prevalent was the Short Face Pattern. A significant concordance was observed between profile and frontal subjective facial analysis. There was slight concordance between the Facial Pattern and the sagittal dental relationships. The anterior open bite (AOB was not significantly prevalent in any Facial Pattern.

  8. Subjective facial analysis and its correlation with dental relationships (United States)

    Siécola, Gustavo Silva; Capelozza, Leopoldino; Lorenzoni, Diego Coelho; Janson, Guilherme; Henriques, José Fernando Castanha


    ABSTRACT INTRODUCTION: Subjective facial analysis is a diagnostic method that provides morphological analysis of the face. Thus, the aim of the present study was to compare the facial and dental diagnoses and investigate their relationship. METHODS: This sample consisted of 151 children (7 to 13 years old), without previous orthodontic treatment, analyzed by an orthodontist. Standardized extraoral and intraoral photographs were taken for the subjective facial classification according to Facial Pattern classification and occlusal analyses. It has been researched the occurrence of different Facial Patterns, the relationship between Facial Pattern classification in frontal and profile views, the relationship between Facial Patterns and Angle classification, and between anterior open bite and Long Face Pattern. RESULTS: Facial Pattern I was verified in 64.24% of the children, Pattern II in 21.29%, Pattern III in 6.62%, Long Face Pattern in 5.96% and Short Face Pattern in 1.99%. A substantial strength of agreement of approximately 84% between frontal and profile classification of Facial Pattern was observed (Kappa = 0.69). Agreement between the Angle classification and the Facial Pattern was seen in approximately 63% of the cases (Kappa = 0.27). Long Face Pattern did not present more open bite prevalence. CONCLUSION: Facial Patterns I and II were the most prevalent in children and the less prevalent was the Short Face Pattern. A significant concordance was observed between profile and frontal subjective facial analysis. There was slight concordance between the Facial Pattern and the sagittal dental relationships. The anterior open bite (AOB) was not significantly prevalent in any Facial Pattern. PMID:28658360

  9. The Subjectivity of Participation

    DEFF Research Database (Denmark)

    Nissen, Morten

    What is a 'we' – a collective – and how can we use such communal self-knowledge to help people? This book is about collectivity, participation, and subjectivity – and about the social theories that may help us understand these matters. It also seeks to learn from the innovative practices and ideas...... practices. Through this dialogue, it develops an original trans-disciplinary critical theory and practice of collective subjectivity for which the ongoing construction and overcoming of common sense, or ideology, is central. It also points to ways of relating discourse with agency, and fertilizing insights...... from interactionism and ideology theories in a cultural-historical framework....

  10. Apple Shape Classification Method Based on Wavelet Moment

    Directory of Open Access Journals (Sweden)

    Jiangsheng Gui


    Full Text Available Shape is not only an important indicator for assessing the grade of the apple, but also the important factors for increasing the value of the apple. In order to improve the apple shape classification accuracy rate, an approach for apple shape sorting based on wavelet moments was proposed, the image was first subjected to a normalization process using its regular moments to obtain scale and translation invariance, the rotation invariant wavelet moment features were then extracted from the scale and translation normalized images and the method of cluster analysis was used for finished the shape classification. This method performs better than traditional approaches such as Fourier descriptors and Zernike moments, because of that Wavelet moments can provide time-domain and frequency domain window, which was verified by experiments. The normal fruit shape, mild deformity and severe deformity classification accuracy is 86.21 %, 85.82 %, 90.81 % by our method.

  11. 9 CFR 145.43 - Terminology and classification; flocks and products. (United States)


    ... POULTRY Special Provisions for Turkey Breeding Flocks and Products § 145.43 Terminology and classification... of progeny of a primary breeding flock which is intended solely for the production of multiplier... flock composed of progeny of a primary breeding flock which is intended solely for the production of...

  12. Water use efficiency of net primary production in global terrestrial ...

    Indian Academy of Sciences (India)

    Water use efficiency; global terrestrial ecosystems; MODIS; net primary production; evapotranspiration;. Köppen–Geiger climate classification. ... Terrestrial plants fix or trap carbon dioxide via photosynthesis to produce the material ...... S W 2007 Evaluating water stress controls on primary production in biogeochemical and ...

  13. Paying Hypertension Research Subjects (United States)

    Casarett, David; Karlawish, Jason; Asch, David A


    CONTEXT Cash payments are often used to compensate subjects who participate in research. However, ethicists have argued that these payments might constitute an undue inducement. OBJECTIVES To determine whether potential subjects agree with theoretical arguments that a payment could be an undue inducement. DESIGN/SETTING/PARTICIPANTS Survey of 350 prospective jurors. MAIN OUTCOME MEASURES Belief that a $500 payment for research participation would impair their own, and others' ability to think carefully about the risks and benefits of a clinical trial. RESULTS Two hundred sixty-one jurors (74.6%) believed that a $500 payment would impair subjects' ability to think carefully about the risks and benefits of research. Ninety-six of 120 (80%) expressed this concern about subjects with a low income ($50,000). In contrast, only 69 (19.7%) of jurors believed that a $500 payment would influence them. Jurors who believed that this payment would influence them reported lower incomes and less education. CONCLUSION Members of the general public share ethical concerns about the influence of payments for research, although they believe that these concerns are more applicable to others than to themselves.

  14. Subjects, Models, Languages, Transformations

    NARCIS (Netherlands)

    Rensink, Arend; Bézivin, J.; Heckel, R.


    Discussions about model-driven approaches tend to be hampered by terminological confusion. This is at least partially caused by a lack of formal precision in defining the basic concepts, including that of "model" and "thing being modelled" - which we call subject in this paper. We propose a minimal

  15. Subjective Duration and Psychophysics (United States)

    Eisler, Hannes


    Three models are proposed to describe the strategy applied by a subject when he is confronted with two successive time intervals and is required to deal with some relation between them, for example, by telling which was the longer by adjusting the second to match the first. (Author)

  16. Barron's SAT subject test

    CERN Document Server

    Jansen, MA, Robert


    Includes one diagnostic test and three complete tests, all questions answered and explained, self-assessment guides, and subject reviews. Also features test strategies, QR codes to short instructional videos, and a detailed appendix with equations, physical constants, and a basic math review.

  17. Automatic sleep stage classification using ear-EEG. (United States)

    Stochholm, Andreas; Mikkelsen, Kaare; Kidmose, Preben


    Sleep assessment is of great importance in the diagnosis and treatment of sleep disorders. In clinical practice this is typically performed based on polysomnography recordings and manual sleep staging by experts. This procedure has the disadvantages that the measurements are cumbersome, may have a negative influence on the sleep, and the clinical assessment is labor intensive. Addressing the latter, there has recently been encouraging progress in the field of automatic sleep staging [1]. Furthermore, a minimally obtrusive method for recording EEG from electrodes in the ear (ear-EEG) has recently been proposed [2]. The objective of this study was to investigate the feasibility of automatic sleep stage classification based on ear-EEG. This paper presents a preliminary study based on recordings from a total of 18 subjects. Sleep scoring was performed by a clinical expert based on frontal, central and occipital region EEG, as well as EOG and EMG. 5 subjects were excluded from the study because of alpha wave contamination. In one subject the standard polysomnography was supplemented by ear-EEG. A single EEG channel sleep stage classifier was implemented using the same features and the same classifier as proposed in [1]. The performance of the single channel sleep classifier based on the scalp recordings showed an 85.7 % agreement with the manual expert scoring through 10-fold inter-subject cross validation, while the performance of the ear-EEG recordings was based on a 10-fold intra-subject cross validation and showed an 82 % agreement with the manual scoring. These results suggest that automatic sleep stage classification based on ear-EEG recordings may provide similar performance as compared to single channel scalp EEG sleep stage classification. Thereby ear-EEG may be a feasible technology for future minimal intrusive sleep stage classification.

  18. Temporal specification and subject reference in Romanian subjunctive complements

    Directory of Open Access Journals (Sweden)

    Maria Aurelia Cotfas


    Full Text Available The paper looks at the dependency of Romanian subjunctive complements on the semantic class of the matrix verb. It shows that different types of temporal dependency trigger different identity relations between the null embedded subject and the (subject antecedent in the main clause (cf. Farkas 1984. Volitional verbs are also looked at in terms of the restrictions they impose on the subjunctive complements they subcategorize for. Finally, following Landau’s (1999 classification of infinitive complements in English, Romanian subjunctives are argued to fall into two distinct classses exhibiting different properties in terms of subject reference and temporal dependency.

  19. HIV classification using coalescent theory

    Energy Technology Data Exchange (ETDEWEB)

    Zhang, Ming [Los Alamos National Laboratory; Letiner, Thomas K [Los Alamos National Laboratory; Korber, Bette T [Los Alamos National Laboratory


    Algorithms for subtype classification and breakpoint detection of HIV-I sequences are based on a classification system of HIV-l. Hence, their quality highly depend on this system. Due to the history of creation of the current HIV-I nomenclature, the current one contains inconsistencies like: The phylogenetic distance between the subtype B and D is remarkably small compared with other pairs of subtypes. In fact, it is more like the distance of a pair of subsubtypes Robertson et al. (2000); Subtypes E and I do not exist any more since they were discovered to be composed of recombinants Robertson et al. (2000); It is currently discussed whether -- instead of CRF02 being a recombinant of subtype A and G -- subtype G should be designated as a circulating recombination form (CRF) nd CRF02 as a subtype Abecasis et al. (2007); There are 8 complete and over 400 partial HIV genomes in the LANL-database which belong neither to a subtype nor to a CRF (denoted by U). Moreover, the current classification system is somehow arbitrary like all complex classification systems that were created manually. To this end, it is desirable to deduce the classification system of HIV systematically by an algorithm. Of course, this problem is not restricted to HIV, but applies to all fast mutating and recombining viruses. Our work addresses the simpler subproblem to score classifications of given input sequences of some virus species (classification denotes a partition of the input sequences in several subtypes and CRFs). To this end, we reconstruct ancestral recombination graphs (ARG) of the input sequences under restrictions determined by the given classification. These restritions are imposed in order to ensure that the reconstructed ARGs do not contradict the classification under consideration. Then, we find the ARG with maximal probability by means of Markov Chain Monte Carlo methods. The probability of the most probable ARG is interpreted as a score for the classification. To our

  20. 32 CFR 644.426 - Classification. (United States)


    ... HANDBOOK Disposal Disposal of Fee-Owned Real Property and Easement Interests § 644.426 Classification... classification will be recorded on ENG Form 1825 (Real Property Classification), with sufficient information to justify the classification. Surplus property may be reclassified from time to time whenever such action is...

  1. 32 CFR 2400.6 - Classification levels. (United States)


    ... 32 National Defense 6 2010-07-01 2010-07-01 false Classification levels. 2400.6 Section 2400.6... Original Classification § 2400.6 Classification levels. (a) National security information (hereinafter... three authorized classification levels, such as “Secret Sensitive” or “Agency Confidential.” The terms...

  2. 7 CFR 51.2284 - Size classification. (United States)


    ... 7 Agriculture 2 2010-01-01 2010-01-01 false Size classification. 51.2284 Section 51.2284... Size classification. The following classifications are provided to describe the size of any lot... shall conform to the requirements of the specified classification as defined below: (a) Halves. Lot...

  3. 7 CFR 51.1860 - Color classification. (United States)


    ... 7 Agriculture 2 2010-01-01 2010-01-01 false Color classification. 51.1860 Section 51.1860... STANDARDS) United States Standards for Fresh Tomatoes 1 Color Classification § 51.1860 Color classification... illustrating the color classification requirements, as set forth in this section. This visual aid may be...

  4. 32 CFR 2001.15 - Classification guides. (United States)


    .... (b) General content of classification guides. Classification guides shall, at a minimum: (1) Identify... 32 National Defense 6 2010-07-01 2010-07-01 false Classification guides. 2001.15 Section 2001.15..., NATIONAL ARCHIVES AND RECORDS ADMINISTRATION CLASSIFIED NATIONAL SECURITY INFORMATION Classification § 2001...

  5. 28 CFR 17.26 - Derivative classification. (United States)


    ... 28 Judicial Administration 1 2010-07-01 2010-07-01 false Derivative classification. 17.26 Section... ACCESS TO CLASSIFIED INFORMATION Classified Information § 17.26 Derivative classification. (a) Persons... documents or classification guides. (b) Persons who apply derivative classification markings shall observe...

  6. Primary hyperparathyroidism. (United States)

    Muñoz-Torres, Manuel; García-Martín, Antonia


    Primary hyperparathyroidism (PHPT) is a common endocrinological process, characterized by chronic elevation of serum concentrations of calcium and parathyroid hormone (PTH). Many years ago, the most frequent forms of clinical presentation were symptomatic renal or skeletal disease with moderate or severe hypercalcemia; however, currently, most patients have few symptoms and mild hypercalcemia. A new form of presentation called normocalcemic PHPT has also been described but clinical consequences are not well established. The biochemical profile of PHPT is characterized by hypercalcemia and high or inappropriately normal PTH concentrations. Parathyroidectomy is the only definitive cure. Medical treatment with the calcimimetic cinacalcet has been shown to normalize calcemia in a high percentage of cases. Copyright © 2017 Elsevier España, S.L.U. All rights reserved.

  7. Opponent Classification in Poker (United States)

    Ahmad, Muhammad Aurangzeb; Elidrisi, Mohamed

    Modeling games has a long history in the Artificial Intelligence community. Most of the games that have been considered solved in AI are perfect information games. Imperfect information games like Poker and Bridge represent a domain where there is a great deal of uncertainty involved and additional challenges with respect to modeling the behavior of the opponent etc. Techniques developed for playing imperfect games also have many real world applications like repeated online auctions, human computer interaction, opponent modeling for military applications etc. In this paper we explore different techniques for playing poker, the core of these techniques is opponent modeling via classifying the behavior of opponent according to classes provided by domain experts. We utilize windows of full observation in the game to classify the opponent. In Poker, the behavior of an opponent is classified into four standard poker-playing styles based on a subjective function.

  8. Using Linked Data for polarity classification of patients' experiences. (United States)

    Noferesti, Samira; Shamsfard, Mehrnoush


    Polarity classification is the main subtask of sentiment analysis and opinion mining, well-known problems in natural language processing that have attracted increasing attention in recent years. Existing approaches mainly rely on the subjective part of text in which sentiment is expressed explicitly through specific words, called sentiment words. These approaches, however, are still far from being good in the polarity classification of patients' experiences since they are often expressed without any explicit expression of sentiment, but an undesirable or desirable effect of the experience implicitly indicates a positive or negative sentiment. This paper presents a method for polarity classification of patients' experiences of drugs using domain knowledge. We first build a knowledge base of polar facts about drugs, called FactNet, using extracted patterns from Linked Data sources and relation extraction techniques. Then, we extract generalized semantic patterns of polar facts and organize them into a hierarchy in order to overcome the missing knowledge issue. Finally, we apply the extracted knowledge, i.e., polar fact instances and generalized patterns, for the polarity classification task. Different from previous approaches for personal experience classification, the proposed method explores the potential benefits of polar facts in domain knowledge aiming to improve the polarity classification performance, especially in the case of indirect implicit experiences, i.e., experiences which express the effect of one entity on other ones without any sentiment words. Using our approach, we have extracted 9703 triplets of polar facts at a precision of 92.26 percent. In addition, experiments on drug reviews demonstrate that our approach can achieve 79.78 percent precision in polarity classification task, and outperforms the state-of-the-art sentiment analysis and opinion mining methods. Copyright © 2015 Elsevier Inc. All rights reserved.

  9. Advanced Steel Microstructural Classification by Deep Learning Methods. (United States)

    Azimi, Seyed Majid; Britz, Dominik; Engstler, Michael; Fritz, Mario; Mücklich, Frank


    The inner structure of a material is called microstructure. It stores the genesis of a material and determines all its physical and chemical properties. While microstructural characterization is widely spread and well known, the microstructural classification is mostly done manually by human experts, which gives rise to uncertainties due to subjectivity. Since the microstructure could be a combination of different phases or constituents with complex substructures its automatic classification is very challenging and only a few prior studies exist. Prior works focused on designed and engineered features by experts and classified microstructures separately from the feature extraction step. Recently, Deep Learning methods have shown strong performance in vision applications by learning the features from data together with the classification step. In this work, we propose a Deep Learning method for microstructural classification in the examples of certain microstructural constituents of low carbon steel. This novel method employs pixel-wise segmentation via Fully Convolutional Neural Network (FCNN) accompanied by a max-voting scheme. Our system achieves 93.94% classification accuracy, drastically outperforming the state-of-the-art method of 48.89% accuracy. Beyond the strong performance of our method, this line of research offers a more robust and first of all objective way for the difficult task of steel quality appreciation.

  10. Classification Model for Damage Localization in a Plate Structure (United States)

    Janeliukstis, R.; Ruchevskis, S.; Chate, A.


    The present study is devoted to the problem of damage localization by means of data classification. The commercial ANSYS finite-elements program was used to make a model of a cantilevered composite plate equipped with numerous strain sensors. The plate was divided into zones, and, for data classification purposes, each of them housed several points to which a point mass of magnitude 5 and 10% of plate mass was applied. At each of these points, a numerical modal analysis was performed, from which the first few natural frequencies and strain readings were extracted. The strain data for every point were the input for a classification procedure involving k nearest neighbors and decision trees. The classification model was trained and optimized by finetuning the key parameters of both algorithms. Finally, two new query points were simulated and subjected to a classification in terms of assigning a label to one of the zones of the plate, thus localizing these points. Damage localization results were compared for both algorithms and were found to be in good agreement with the actual application positions of point load.

  11. Change classification in SAR time series: a functional approach (United States)

    Boldt, Markus; Thiele, Antje; Schulz, Karsten; Hinz, Stefan


    Change detection represents a broad field of research in SAR remote sensing, consisting of many different approaches. Besides the simple recognition of change areas, the analysis of type, category or class of the change areas is at least as important for creating a comprehensive result. Conventional strategies for change classification are based on supervised or unsupervised landuse / landcover classifications. The main drawback of such approaches is that the quality of the classification result directly depends on the selection of training and reference data. Additionally, supervised processing methods require an experienced operator who capably selects the training samples. This training step is not necessary when using unsupervised strategies, but nevertheless meaningful reference data must be available for identifying the resulting classes. Consequently, an experienced operator is indispensable. In this study, an innovative concept for the classification of changes in SAR time series data is proposed. Regarding the drawbacks of traditional strategies given above, it copes without using any training data. Moreover, the method can be applied by an operator, who does not have detailed knowledge about the available scenery yet. This knowledge is provided by the algorithm. The final step of the procedure, which main aspect is given by the iterative optimization of an initial class scheme with respect to the categorized change objects, is represented by the classification of these objects to the finally resulting classes. This assignment step is subject of this paper.

  12. A Multi-factor Customer Classification Evaluation Model


    Qiaohong Zu; Ting Wu; Hui Wang


    Pervasive application of data mining technology is very important in analytical CRM software development when the distributed data warehouse is constructed. We propose a multi-factor customer classification evaluation model CLV/CL/CC which comprehensively considers customer lifetime value, customer loyalty and customer credit. It classifies clients with synthetic data mining algorithms. In this paper, we present an extended Bayes model which substitutes the primary attribute group with a new ...

  13. Semi-automatic approach for music classification (United States)

    Zhang, Tong


    Audio categorization is essential when managing a music database, either a professional library or a personal collection. However, a complete automation in categorizing music into proper classes for browsing and searching is not yet supported by today"s technology. Also, the issue of music classification is subjective to some extent as each user may have his own criteria for categorizing music. In this paper, we propose the idea of semi-automatic music classification. With this approach, a music browsing system is set up which contains a set of tools for separating music into a number of broad types (e.g. male solo, female solo, string instruments performance, etc.) using existing music analysis methods. With results of the automatic process, the user may further cluster music pieces in the database into finer classes and/or adjust misclassifications manually according to his own preferences and definitions. Such a system may greatly improve the efficiency of music browsing and retrieval, while at the same time guarantee accuracy and user"s satisfaction of the results. Since this semi-automatic system has two parts, i.e. the automatic part and the manual part, they are described separately in the paper, with detailed descriptions and examples of each step of the two parts included.

  14. Local Kernel for Brains Classification in Schizophrenia (United States)

    Castellani, U.; Rossato, E.; Murino, V.; Bellani, M.; Rambaldelli, G.; Tansella, M.; Brambilla, P.

    In this paper a novel framework for brain classification is proposed in the context of mental health research. A learning by example method is introduced by combining local measurements with non linear Support Vector Machine. Instead of considering a voxel-by-voxel comparison between patients and controls, we focus on landmark points which are characterized by local region descriptors, namely Scale Invariance Feature Transform (SIFT). Then, matching is obtained by introducing the local kernel for which the samples are represented by unordered set of features. Moreover, a new weighting approach is proposed to take into account the discriminative relevance of the detected groups of features. Experiments have been performed including a set of 54 patients with schizophrenia and 54 normal controls on which region of interest (ROI) have been manually traced by experts. Preliminary results on Dorso-lateral PreFrontal Cortex (DLPFC) region are promising since up to 75% of successful classification rate has been obtained with this technique and the performance has improved up to 85% when the subjects have been stratified by sex.

  15. Comparison of the corneal biomechanical properties with the Ocular Response Analyzer® (ORA) in African and Caucasian normal subjects and patients with glaucoma. (United States)

    Detry-Morel, Michèle; Jamart, Jacques; Hautenauven, Frédéric; Pourjavan, Sayeh


    To compare corneal hysteresis (CH) and corneal resistance factor (CRF) measured with the Ocular Response Analyzer(®) tonometer (ORA) between (i) African normals and treated primary open-angle glaucoma (POAG) patients and (ii) between normals and treated POAG Caucasians. To analyse the correlation of CH and CRF with visual field (VF) defects in the two groups. This comparative study included 59 African (29 (POAG), 30 normals) and 55 Caucasians (30 POAG and 25 normals) subjects. Goldmann applanation tonometry (GAT) and ORA measurements were performed in a randomized sequence. Visual field was tested with the Swedish interactive threshold algorithms standard strategy of the Humphrey perimeter. Hoddap classification was used to estimate the severity of VF defects. Primary open-angle glaucoma Africans were younger than POAG Caucasians (p glaucoma Africans had higher IOPcc values than Caucasian POAGs (p glaucoma damage in Africans compared with Caucasians at diagnosis. © 2011 The Authors. Acta Ophthalmologica © 2011 Acta Ophthalmologica Scandinavica Foundation.

  16. Interaction, transference, and subjectivity

    DEFF Research Database (Denmark)

    Lundgaard Andersen, Linda


    Fieldwork is one of the important methods in educational, social, and organisational research. In fieldwork, the researcher takes residence for a shorter or longer period amongst the subjects and settings to be studied. The aim of this is to study the culture of people: how people seem to make...... sense of their lives and which moral, professional, and ethical values seem to guide their behaviour and attitudes. In fieldwork, the researcher has to balance participation and observation in her attempts at representation. Consequently, the researcher’s academic and life-historical subjectivity...... are important filters for fieldwork. In general, fieldwork can be understood as processes where field reports and field analysis are determined by how the researcher interacts with and experiences the field, the events and informants in it, and how she subsequently develops an ethnography. However, fieldwork...

  17. Writing and the 'Subject'

    DEFF Research Database (Denmark)

    Greve, Charlotte

    /reading subject) manifests itself in the material mark on the page. The study shows how this indexical reference to a ‘subject’ is manipulated and used as a mask through which a writer/painter can perform a certain ‘subject’. Through analyses of the various levels on which the ‘subject’ is represented...... in the early as well as the contemporary avant-garde, it becomes clear that the ‘subject’ is an unstable category that can be exposed to manipulation and play. Handwriting is performing as a signature (as an index), but is at the same time similar to the signature of a subject (an icon) and a verbal construct...

  18. Markers of primary graft dysfunction

    DEFF Research Database (Denmark)


    The present invention relates to methods for diagnosing transplant rejection, or a condition associated with transplant rejection, such as, primary graft dysfunction in a subject, to antigen probe arrays for performing such a diagnosis, and to antigen probe sets for generating such arrays....

  19. Autism-Specific Primary Care Medical Home Intervention (United States)

    Golnik, Allison; Scal, Peter; Wey, Andrew; Gaillard, Philippe


    Forty-six subjects received primary medical care within an autism-specific medical home intervention ( and 157 controls received standard primary medical care. Subjects and controls had autism spectrum disorder diagnoses. Thirty-four subjects (74%) and 62 controls (40%) completed pre and post surveys. Controlling for…

  20. Regression in primary cutaneous melanoma: etiopathogenesis and clinical significance. (United States)

    Aung, Phyu P; Nagarajan, Priyadharsini; Prieto, Victor G


    Though not required currently for staging, regression is a histopathologic parameter typically reported upon diagnosis of an invasive primary cutaneous melanoma. The studies examining the prognostic significance of regression in patient outcome have yielded controversial findings; likely because the definition and assessment of regression have not been consistent, in addition to subjectivity of pathologists' interpretation. Regression is histologically characterized by variable decrease in the number of melanoma cells accompanied by the presence of a host response consisting of dermal fibrosis, inflammatory infiltrate, melanophages, ectatic blood vessels, epidermal attenuation, and/or apoptosis of keratinocytes or melanocytes; the relative extent of these features depends on the stage of the regression. However, the magnitudes to which these individual changes must be present to meet the threshold of histologic regression have not been well defined or agreed upon, and thus, the definition and classification of histologic regression in melanoma varies considerably among institutions and even among individual pathologists. In order to determine the clinical significance of histologic analysis of regression, there is a compelling need for a universal scheme to objectively define and assess histologic regression in primary cutaneous melanoma, so that the biologic and prognostic significance of this process may be completely understood.Laboratory Investigation advance online publication, 27 February 2017; doi:10.1038/labinvest.2017.8.

  1. Entanglement classification with algebraic geometry (United States)

    Sanz, M.; Braak, D.; Solano, E.; Egusquiza, I. L.


    We approach multipartite entanglement classification in the symmetric subspace in terms of algebraic geometry, its natural language. We show that the class of symmetric separable states has the structure of a Veronese variety and that its k-secant varieties are SLOCC invariants. Thus SLOCC classes gather naturally into families. This classification presents useful properties such as a linear growth of the number of families with the number of particles, and nesting, i.e. upward consistency of the classification. We attach physical meaning to this classification through the required interaction length of parent Hamiltonians. We show that the states W N and GHZ N are in the same secant family and that, effectively, the former can be obtained in a limit from the latter. This limit is understood in terms of tangents, leading to a refinement of the previous families. We compute explicitly the classification of symmetric states with N≤slant4 qubits in terms of both secant families and its refinement using tangents. This paves the way to further use of projective varieties in algebraic geometry to solve open problems in entanglement theory.

  2. A Semisupervised Cascade Classification Algorithm

    Directory of Open Access Journals (Sweden)

    Stamatis Karlos


    Full Text Available Classification is one of the most important tasks of data mining techniques, which have been adopted by several modern applications. The shortage of enough labeled data in the majority of these applications has shifted the interest towards using semisupervised methods. Under such schemes, the use of collected unlabeled data combined with a clearly smaller set of labeled examples leads to similar or even better classification accuracy against supervised algorithms, which use labeled examples exclusively during the training phase. A novel approach for increasing semisupervised classification using Cascade Classifier technique is presented in this paper. The main characteristic of Cascade Classifier strategy is the use of a base classifier for increasing the feature space by adding either the predicted class or the probability class distribution of the initial data. The classifier of the second level is supplied with the new dataset and extracts the decision for each instance. In this work, a self-trained NB∇C4.5 classifier algorithm is presented, which combines the characteristics of Naive Bayes as a base classifier and the speed of C4.5 for final classification. We performed an in-depth comparison with other well-known semisupervised classification methods on standard benchmark datasets and we finally reached to the point that the presented technique has better accuracy in most cases.

  3. Normal movement reading in Asperger subjects. (United States)

    Avikainen, S; Kulomäki, T; Hari, R


    Patients with autism and Asperger syndrome (AS) are impaired in mindreading and imitation skills. One possibility would be that their 'mirror neuron' system, which matches action execution and observation, does not function properly. To test this hypothesis we compared action-viewing related motor cortex functions in an AS group (one autistic and four AS subjects) and eight control subjects. In both groups viewing hand actions modified the neuromagnetic approximately 20 Hz oscillatory activity in the primary motor cortex to the same extent. Thus impaired mindreading and imitation skills found in AS and autism do not seem to result from dysfunction of the motor cortex part of the action execution/observation system.

  4. Drug-induced sedation endoscopy (DISE) classification systems: a systematic review and meta-analysis. (United States)

    Dijemeni, Esuabom; D'Amone, Gabriele; Gbati, Israel


    Drug-induced sedation endoscopy (DISE) classification systems have been used to assess anatomical findings on upper airway obstruction, and decide and plan surgical treatments and act as a predictor for surgical treatment outcome for obstructive sleep apnoea management. The first objective is to identify if there is a universally accepted DISE grading and classification system for analysing DISE findings. The second objective is to identify if there is one DISE grading and classification treatment planning framework for deciding appropriate surgical treatment for obstructive sleep apnoea (OSA). The third objective is to identify if there is one DISE grading and classification treatment outcome framework for determining the likelihood of success for a given OSA surgical intervention. A systematic review was performed to identify new and significantly modified DISE classification systems: concept, advantages and disadvantages. Fourteen studies proposing a new DISE classification system and three studies proposing a significantly modified DISE classification were identified. None of the studies were based on randomised control trials. DISE is an objective method for visualising upper airway obstruction. The classification and assessment of clinical findings based on DISE is highly subjective due to the increasing number of DISE classification systems. Hence, this creates a growing divergence in surgical treatment planning and treatment outcome. Further research on a universally accepted objective DISE assessment is critically needed.

  5. Optical classification of bruises (United States)

    Randeberg, Lise L.; Winnem, Andreas M.; Blindheim, Sandra; Haugen, Olav A.; Svaasand, Lars O.


    Determining the age of injuries is an important aspect of forensic medicine. Currently, visual inspection and colorimetric measurements are the most common techniques used to assess the age of bruises on a victim's body. Bruises are caused by trauma to the skin and vasculature, and the color will depend on the age, depth, and anatomic site of the hemorrhage. Breakdown products of hemoglobin e.g. biliverdin and bilirubin possess various colors, which can be determined spectrometrically. This study presents reflection spectra collected from bruises in otherwise healthy subjects. A total of 73 spectra of 25 bruises were measured on 13 individuals in the 400-850 nm wavelength region. All injuries were caused by sports activities such as judo and soccer. The bruises were classified according to visual appearance, bilirubin content, oxygenation, and age of the injury. Only bruises with known age and cause were included in the study. Spectral changes of each hematoma were recorded over several days. Preliminary results show large variation in the spectra, caused by differences in age and depth of the bruises. This data may provide a basis for developing an algorithm to determine the age of injuries in e.g. child abuse cases.

  6. Subject Sensitive Invariantism: In Memoriam

    NARCIS (Netherlands)

    Blaauw, M.J.


    Subject sensitive invariantism is the view that whether a subject knows depends on what is at stake for that subject: the truth-value of a knowledge-attribution is sensitive to the subject's practical interests. I argue that subject sensitive invariantism cannot accept a very plausible principle for

  7. Rock suitability classification RSC 2012

    Energy Technology Data Exchange (ETDEWEB)

    McEwen, T. (ed.) [McEwen Consulting, Leicester (United Kingdom); Kapyaho, A. [Geological Survey of Finland, Espoo (Finland); Hella, P. [Saanio and Riekkola, Helsinki (Finland); Aro, S.; Kosunen, P.; Mattila, J.; Pere, T.


    This report presents Posiva's Rock Suitability Classification (RSC) system, developed for locating suitable rock volumes for repository design and construction. The RSC system comprises both the revised rock suitability criteria and the procedure for the suitability classification during the construction of the repository. The aim of the classification is to avoid such features of the host rock that may be detrimental to the favourable conditions within the repository, either initially or in the long term. This report also discusses the implications of applying the RSC system for the fulfilment of the regulatory requirements concerning the host rock as a natural barrier and the site's overall suitability for hosting a final repository of spent nuclear fuel.

  8. Familial filicide and filicide classification. (United States)

    Guileyardo, J M; Prahlow, J A; Barnard, J J


    Filicide is the killing of a child by his or her parent. Despite the disturbing nature of these crimes, a study of filicide classification can provide insight into their causes. Furthermore, a study of filicide classification provides information essential to accurate death certification. We report a rare case of familial filicide in which twin sisters both attempted to kill their respective children. We then suggest a detailed classification of filicide subtypes that provides a framework of motives and precipitating factors leading to filicide. We identify 16 subtypes of filicide, each of which is sufficiently characteristic to warrant a separate category. We describe in some detail the characteristic features of these subtypes. A knowledge of filicide subtypes contributes to interpretation of difficult cases. Furthermore, to protect potential child homicide victims, it is necessary to know how and why they are killed. Epidemiologic studies using filicide subtypes as their basis could provide information leading to strategies for prevention.

  9. Oral epithelial dysplasia classification systems

    DEFF Research Database (Denmark)

    Warnakulasuriya, S; Reibel, J; Bouquot, J


    At a workshop coordinated by the WHO Collaborating Centre for Oral Cancer and Precancer in the United Kingdom issues related to potentially malignant disorders of the oral cavity were discussed by an expert group. The consensus views of the Working Group are presented in a series of papers....... In this report, we review the oral epithelial dysplasia classification systems. The three classification schemes [oral epithelial dysplasia scoring system, squamous intraepithelial neoplasia and Ljubljana classification] were presented and the Working Group recommended epithelial dysplasia grading for routine...... use. Although most oral pathologists possibly recognize and accept the criteria for grading epithelial dysplasia, firstly based on architectural features and then of cytology, there is great variability in their interpretation of the presence, degree and significance of the individual criteria...

  10. Classification systems for stalking behavior. (United States)

    Racine, Christopher; Billick, Stephen


    Stalking is a complex behavioral phenomenon that is unique in that it necessarily involves a prolonged dyadic relationship between both a perpetrator and a victim. Since criminalization of stalking behavior in the 1990s, different conceptual typologies have attempted to classify this behavior to assess risk and aid in management decisions. The authors reviewed the current literature regarding the most recent and accepted stalking classification systems. The three predominant stalker typologies currently in use include Zona's stalker-victim types, Mullen's stalker typology, and the RECON stalker typology. Of these, the RECON classification system alone was developed in an attempt to separate stalkers into groups based on previously known risk factors for behaviorally based phenomenon such as propensity for violence. Understanding and simplifying these classification systems may enhance the potential that new research will lead to evidence-based management and treatment strategies in the stalking situation. © 2013 American Academy of Forensic Sciences.

  11. Automatic Hierarchical Color Image Classification

    Directory of Open Access Journals (Sweden)

    Jing Huang


    Full Text Available Organizing images into semantic categories can be extremely useful for content-based image retrieval and image annotation. Grouping images into semantic classes is a difficult problem, however. Image classification attempts to solve this hard problem by using low-level image features. In this paper, we propose a method for hierarchical classification of images via supervised learning. This scheme relies on using a good low-level feature and subsequently performing feature-space reconfiguration using singular value decomposition to reduce noise and dimensionality. We use the training data to obtain a hierarchical classification tree that can be used to categorize new images. Our experimental results suggest that this scheme not only performs better than standard nearest-neighbor techniques, but also has both storage and computational advantages.

  12. Variable: Classification, Measurement and Importance in Social Science Research


    Raiphea, Yow Peter


    Variable generally regarded as unit of analysis is defined by scholars in different ways. There is no fixed definition and classification of variable in research. In social science research variable played an important role in the formulation of hypothesis, increase clarity of research problem, in choosing what type of measurement scale to be used. Variable helped to avoid subjectivity and to bring about true picture of events or phenomena or behavior which the social science researchers are ...



    Misigo Ronald; Miriti Evans


    Manual sorting of apple fruit varieties results to high cost, subjectivity, tediousness and inconsistency associated with human beings. A means for distinguishing apple varieties is needed and therefore, some reliable technique is needed to discriminate varieties rapidly and non-destructively. The main objective of this research was to investigate the applicability and performance of Naive Bayes algorithm in the classification of apple fruit varieties. The methodology involved image acquisiti...

  14. Reliability assessment of a novel cervical spine deformity classification system. (United States)

    Ames, Christopher P; Smith, Justin S; Eastlack, Robert; Blaskiewicz, Donald J; Shaffrey, Christopher I; Schwab, Frank; Bess, Shay; Kim, Han Jo; Mundis, Gregory M; Klineberg, Eric; Gupta, Munish; O'Brien, Michael; Hostin, Richard; Scheer, Justin K; Protopsaltis, Themistocles S; Fu, Kai-Ming G; Hart, Robert; Albert, Todd J; Riew, K Daniel; Fehlings, Michael G; Deviren, Vedat; Lafage, Virginie


    Despite the complexity of cervical spine deformity (CSD) and its significant impact on patient quality of life, there exists no comprehensive classification system. The objective of this study was to develop a novel classification system based on a modified Delphi approach and to characterize the intra- and interobserver reliability of this classification. Based on an extensive literature review and a modified Delphi approach with an expert panel, a CSD classification system was generated. The classification system included a deformity descriptor and 5 modifiers that incorporated sagittal, regional, and global spinopelvic alignment and neurological status. The descriptors included: "C," "CT," and "T" for primary cervical kyphotic deformities with an apex in the cervical spine, cervicothoracic junction, or thoracic spine, respectively; "S" for primary coronal deformity with a coronal Cobb angle ≥ 15°; and "CVJ" for primary craniovertebral junction deformity. The modifiers included C2-7 sagittal vertical axis (SVA), horizontal gaze (chin-brow to vertical angle [CBVA]), T1 slope (TS) minus C2-7 lordosis (TS-CL), myelopathy (modified Japanese Orthopaedic Association [mJOA] scale score), and the Scoliosis Research Society (SRS)-Schwab classification for thoracolumbar deformity. Application of the classification system requires the following: 1) full-length standing posteroanterior (PA) and lateral spine radiographs that include the cervical spine and femoral heads; 2) standing PA and lateral cervical spine radiographs; 3) completed and scored mJOA questionnaire; and 4) a clinical photograph or radiograph that includes the skull for measurement of the CBVA. A series of 10 CSD cases, broadly representative of the classification system, were selected and sufficient radiographic and clinical history to enable classification were assembled. A panel of spinal deformity surgeons was queried to classify each case twice, with a minimum of 1 intervening week. Inter- and

  15. Global Similarity Predicts Dissociation of Classification and Recognition: Evidence Questioning the Implicit-Explicit Learning Distinction in Amnesia (United States)

    Jamieson, Randall K.; Holmes, Signy; Mewhort, D. J. K.


    Dissociation of classification and recognition in amnesia is widely taken to imply 2 functional systems: an implicit procedural-learning system that is spared in amnesia and an explicit episodic-learning system that is compromised. We argue that both tasks reflect the global similarity of probes to memory. In classification, subjects sort…

  16. Project implementation : classification of organic soils and classification of marls - training of INDOT personnel. (United States)


    This is an implementation project for the research completed as part of the following projects: SPR3005 Classification of Organic Soils : and SPR3227 Classification of Marl Soils. The methods developed for the classification of both soi...

  17. Proteomic classification of breast cancer.

    LENUS (Irish Health Repository)

    Kamel, Dalia


    Being a significant health problem that affects patients in various age groups, breast cancer has been extensively studied to date. Recently, molecular breast cancer classification has advanced significantly with the availability of genomic profiling technologies. Proteomic technologies have also advanced from traditional protein assays including enzyme-linked immunosorbent assay, immunoblotting and immunohistochemistry to more comprehensive approaches including mass spectrometry and reverse phase protein lysate arrays (RPPA). The purpose of this manuscript is to review the current protein markers that influence breast cancer prediction and prognosis and to focus on novel advances in proteomic classification of breast cancer.

  18. Facial aging: A clinical classification

    Directory of Open Access Journals (Sweden)

    Shiffman Melvin


    Full Text Available The purpose of this classification of facial aging is to have a simple clinical method to determine the severity of the aging process in the face. This allows a quick estimate as to the types of procedures that the patient would need to have the best results. Procedures that are presently used for facial rejuvenation include laser, chemical peels, suture lifts, fillers, modified facelift and full facelift. The physician is already using his best judgment to determine which procedure would be best for any particular patient. This classification may help to refine these decisions.


    Directory of Open Access Journals (Sweden)

    Frederique Robert-Inacio


    Full Text Available Surveillance of a seaport can be achieved by different means: radar, sonar, cameras, radio communications and so on. Such a surveillance aims, on the one hand, to manage cargo and tanker traffic, and, on the other hand, to prevent terrorist attacks in sensitive areas. In this paper an application to video-surveillance of a seaport entrance is presented, and more particularly, the different steps enabling to classify mobile shapes. This classification is based on a parameter measuring the similarity degree between the shape under study and a set of reference shapes. The classification result describes the considered mobile in terms of shape and speed.

  20. A classification of ecological boundaries (United States)

    Strayer, D.L.; Power, M.E.; Fagan, W.F.; Pickett, S.T.A.; Belnap, J.


    Ecologists use the term boundary to refer to a wide range of real and conceptual structures. Because imprecise terminology may impede the search for general patterns and theories about ecological boundaries, we present a classification of the attributes of ecological boundaries to aid in communication and theory development. Ecological boundaries may differ in their origin and maintenance, their spatial structure, their function, and their temporal dynamics. A classification system based on these attributes should help ecologists determine whether boundaries are truly comparable. This system can be applied when comparing empirical studies, comparing theories, and testing theoretical predictions against empirical results.