Determinants of Cancer Early Detection Behaviors:Application of Protection Motivation Theory
Rahaei, Zohreh; Ghofranipour, Fazlollah; Morowatisharifabad, Mohammad Ali; Mohammadi, Eesa
2015-01-01
Background: Cancer is account for 13% of all deaths around the world and is the third cause of mortality in Iran. More than one third of these cases are pre-ventable and about 33% are curable with early detection. The aim of this study was to determine the predictors of cancer early detection (CED) behaviors ap-plying Protection Motivation Theory (PMT). Methods: In this cross-sectional study, cluster sampling method was employed to recruit 260 individuals of above 20 years old in Yazd, Ira...
Determinants of Cancer Early Detection Behaviors:Application of Protection Motivation Theory.
Rahaei, Zohreh; Ghofranipour, Fazlollah; Morowatisharifabad, Mohammad Ali; Mohammadi, Eesa
2015-01-01
Cancer is account for 13% of all deaths around the world and is the third cause of mortality in Iran. More than one third of these cases are pre-ventable and about 33% are curable with early detection. The aim of this study was to determine the predictors of cancer early detection (CED) behaviors applying Protection Motivation Theory (PMT). In this cross-sectional study, cluster sampling method was employed to recruit 260 individuals of above 20 years old in Yazd, Iran and a researcher designed questionnaire was completed through interviews for each of the respondents. PMT theoretical variables and CED behaviors were the basis of data collection procedure. Participants acquired 64.47% of the protection motivation, 30.97% of the passive and 45.64% of the active behaviors‟ possible scores. Theory constructs predicted 19.8%, 15.6% and 9.6% of the variations for protection motivation, passive and active behavior respectively. Protection motivation was responsible for 3.6% of passive and 8% of active behaviors‟ variations. Considering the scarceness of CED behaviors and the applicability of PMT in predicting these behaviors, utilization of the PMT‟s constructs in any interventional programs to accelerate CED behaviors could be an alternate methodological choice in the cancer control initiatives.
Directory of Open Access Journals (Sweden)
Subhojit Dey
2016-01-01
Full Text Available Background Globally, breast cancer (BC has become the leading cause of mortality in women. Awareness and early detection can curb the growing burden of BC and are the first step in the battle against BC. The aim of this qualitative study was to explore the awareness and perceived barriers concerning the early detection of BC. Methods A total of 20 focus group discussions (FGDs were conducted during May 2013–March 2014. Pre-existing themes were used to conduct FGDs; each FGD group consisted of an average of ~10 women (aged ≥18–70 years who came to participate in a BC awareness workshop. All FGDs were audio taped and transcribed verbatim. The transcripts were inductively analyzed using ATLAS.ti. Based on emerged codes and categories, thematic analysis was done, and theory was developed using the grounded theory approach. Results Data were analyzed in three major themes: i knowledge and perception about BC; ii barriers faced by women in the early presentation of BC; and iii healthcare-seeking behavior. The findings revealed that shyness, fear, and posteriority were the major behavioral barriers in the early presentation of BC. Erroneously, pain was considered as an initial symptom of BC by most women. Financial constraint was also mentioned as a cause for delay in accessing treatment. Social stigma that breast problems reflect bad character of women also contributed in hiding BC symptoms. Conclusions Lack of BC awareness was prevalent, especially in low socioeconomic class. Women's ambivalence in prioritizing their own health and social and behavioral hurdles should be addressed by BC awareness campaigns appropriately suited for various levels of social class.
Dey, Subhojit; Sharma, Surabhi; Mishra, Arti; Krishnan, Suneeta; Govil, Jyotsna; Dhillon, Preet K
2016-01-01
Globally, breast cancer (BC) has become the leading cause of mortality in women. Awareness and early detection can curb the growing burden of BC and are the first step in the battle against BC. The aim of this qualitative study was to explore the awareness and perceived barriers concerning the early detection of BC. A total of 20 focus group discussions (FGDs) were conducted during May 2013-March 2014. Pre-existing themes were used to conduct FGDs; each FGD group consisted of an average of ~10 women (aged ≥18-70 years) who came to participate in a BC awareness workshop. All FGDs were audio taped and transcribed verbatim. The transcripts were inductively analyzed using ATLAS.ti. Based on emerged codes and categories, thematic analysis was done, and theory was developed using the grounded theory approach. Data were analyzed in three major themes: i) knowledge and perception about BC; ii) barriers faced by women in the early presentation of BC; and iii) healthcare-seeking behavior. The findings revealed that shyness, fear, and posteriority were the major behavioral barriers in the early presentation of BC. Erroneously, pain was considered as an initial symptom of BC by most women. Financial constraint was also mentioned as a cause for delay in accessing treatment. Social stigma that breast problems reflect bad character of women also contributed in hiding BC symptoms. Lack of BC awareness was prevalent, especially in low socioeconomic class. Women's ambivalence in prioritizing their own health and social and behavioral hurdles should be addressed by BC awareness campaigns appropriately suited for various levels of social class.
Development of methodology for early detection of BWR instabilities
International Nuclear Information System (INIS)
Alessandro Petruzzi; Shin Chin; Kostadin Ivanov; Asok Ray; Fan-Bill Cheung
2005-01-01
Full text of publication follows: The objective of the work presented in this paper research, which is supported by the US Department of Energy under the NEER program, is to develop an early anomaly detection methodology in order to enhance safety, availability, and operational flexibility of Boiling Water Reactor (BWR) nuclear power plants. The technical approach relies on suppression of potential power oscillations in BWRs by detecting small anomalies at an early stage and taking appropriate prognostic actions based on an anticipated operation schedule. The model of coupled (two-phase) thermal-hydraulic and neutron flux dynamics, based on the US NRC coupled code TRACE/PARCS, is being utilized as a generator of time series data for anomaly detection at an early stage. The concept of the methodology is based on the fact that nonlinear systems show bifurcation, which is a change in the qualitative behavior as the system parameters vary. Some of these parameters may change on their own accord and account for the anomaly, while certain parameters can be altered in a controlled fashion. The non-linear, non-autonomous BWR system model considered in this research exhibits phenomena at two time scales. Anomalies occur at the slow time scale while the observation of the dynamical behavior, based on which inferences are made, takes place at the fast time scale. It is assumed that: (i) the system behavior is stationary at the fast time scale; and (ii) any observable non-stationary behavior is associated with parametric changes evolving at the slow time scale. The goal is to make inferences about evolving anomalies based on the asymptotic behavior derived from the computer simulation. However, only sufficient changes in the slowly varying parameter may lead to detectable difference in the asymptotic behavior. The need to detect such small changes in parameters and hence early detection of an anomaly motivate the utilized stimulus-response approach. In this approach, the model
Empowering underserved populations through cancer prevention and early detection.
Rivera-Colón, Venessa; Ramos, Roberto; Davis, Jenna L; Escobar, Myriam; Inda, Nikki Ross; Paige, Linda; Palencia, Jeannette; Vives, Maria; Grant, Cathy G; Green, B Lee
2013-12-01
It is well documented that cancer is disproportionately distributed in racial/ethnic minority groups and medically underserved communities. In addition, cancer prevention and early detection represent the key defenses to combat cancer. The purpose of this article is to showcase the comprehensive health education and community outreach activities at the H. Lee Moffitt Cancer Center and Research Institute (Moffitt) designed to promote and increase access to and utilization of prevention and early detection services among underserved populations. One of Moffitt's most important conduits for cancer prevention and early detection among underserved populations is through its community education and outreach initiatives, in particular, the Moffitt Program for Outreach Wellness Education and Resources (M-POWER). M-POWER works to empower underserved populations to make positive health choices and increase screening behaviors through strengthening collaboration and partnerships, providing community-based health education/promotion, and increasing access to care. Effective, empowering, and culturally and linguistically competent health education and community outreach, is key to opening the often impenetrable doors of cancer prevention and early detection to this society's most vulnerable populations.
Early behavioral intervention, brain plasticity, and the prevention of autism spectrum disorder.
Dawson, Geraldine
2008-01-01
Advances in the fields of cognitive and affective developmental neuroscience, developmental psychopathology, neurobiology, genetics, and applied behavior analysis have contributed to a more optimistic outcome for individuals with autism spectrum disorder (ASD). These advances have led to new methods for early detection and more effective treatments. For the first time, prevention of ASD is plausible. Prevention will entail detecting infants at risk before the full syndrome is present and implementing treatments designed to alter the course of early behavioral and brain development. This article describes a developmental model of risk, risk processes, symptom emergence, and adaptation in ASD that offers a framework for understanding early brain plasticity in ASD and its role in prevention of the disorder.
I. Kruizinga (Ingrid); W. Jansen (Wilma); A.S. Carter (Alice); H. Raat (Hein)
2011-01-01
textabstractBackground: The prevalence of social-emotional and behavioral problems is estimated to be 8 to 9% among preschool children. Effective early detection tools are needed to promote the provision of adequate care at an early stage. The Brief Infant-Toddler Social and Emotional Assessment
Hastrup, Lene Halling; Haahr, Ulrik Helt; Nordgaard, Julie; Simonsen, Erik
2018-04-26
In an effort to make people with signs of psychosis seek help as early as possible, Region Zealand launched in 2012 an early detection team project as the first and only in Denmark. The project consisted of a combination of easy access and an information campaign targeting the public. This nation-wide study examined characteristics and help-seeking behavior of patients with first-episode schizophrenia (FES) in the early detection region in comparison with other Danish regions. Data from the Danish National Schizophrenia register on all Danish patients diagnosed with first-episode schizophrenia during 2012 to 2015 were linked to demographic and health care data drawn from official national registers. Binary logistic regression analyses examined the difference between the early detection region and other regions controlling for demographic characteristics and utilization of mental health care services and contacts to general practitioner (GP). Patients in the early detection region were younger (OR = 0.51; CI: 0.42-0.62; p < 0.000) than in regions without early detection teams. Furthermore, they were more likely to be of Danish origin, and less likely to have contact with mental health services and GPs prior to FES. The study suggests that implementing an early detection team in combination with an information campaign contributed to detecting patients with first-episode schizophrenia earlier than in regions without the early detection team. The study gives an indication of different pathways among patients in the early detection region. Copyright © 2018. Published by Elsevier B.V.
Early detection of the first episode of schizophrenia and suicidal behavior
DEFF Research Database (Denmark)
Melle, Ingrid; Johannesen, Jan Olav; Friis, Svein
2006-01-01
The suicide rate in schizophrenia is high, with the risk being highest early in the course. The rate of suicide attempts before treatment onset is also high and is often the event leading up to first treatment contact. A previous report showed that the duration of untreated psychosis can be reduced...... through an early detection program, and that the reduction was associated with lower symptom levels at treatment initiation. Treatment programs that bring first-episode patients into treatment at lower symptom levels can have the potential to reduce risk for suicide attempts....
Kaess, Michael; Ghinea, Denisa; Fischer-Waldschmidt, Gloria; Resch, Franz
2017-07-01
The Outpatient Clinic for Adolescent Risk-taking and Self-harm behaviors (AtR!Sk) - A Pioneering Approach of Outpatient Early Detection and Intervention of Borderline Personality Disorder Self-harm and risk-taking behaviors are frequently occurring problems in adolescents' everyday life and commonly challenge the present child and adolescent health-care system. Those behaviors are typical features of borderline-personality disorder (BPD), a severe mental disorder that is associated with immense psychological strain, increased risk of mortality and poor psychosocial functioning. Despite controversy in the past, recent evidence shows that BPD is a valid and reliable diagnosis in adolescence. Consequently, specified and effective intervention programs for this age group are necessary. Instead, present health-care services for children and adolescents in Germany are usually characterized by long waiting periods for specialized outpatient treatments and unnecessary expanses of unnecessary long inpatient stays. Alternatively, and in order to prevent serious long-term consequences, new concepts - integrated in an ambulatory setting and close to patients' daily routines - should focus on early detection and treatment of adolescents at-risk presenting with borderline personality features. The specialist outpatient clinic AtR!Sk at the University Hospital Heidelberg ensures a low-threshold initial contact service, comprehensive and accurate diagnosis of BPD features, and rapidly "tailored" therapy for young people presenting with any types of risk-taking and self-harm behavior. AtR!Sk - as a pioneering approach in south Germany - provides evidence-based early detection and intervention for adolescent BPD.
Directory of Open Access Journals (Sweden)
Carter Alice S
2011-06-01
Full Text Available Abstract Background The prevalence of social-emotional and behavioral problems is estimated to be 8 to 9% among preschool children. Effective early detection tools are needed to promote the provision of adequate care at an early stage. The Brief Infant-Toddler Social and Emotional Assessment (BITSEA was developed for this purpose. This study evaluates the effectiveness of the BITSEA to enhance social-emotional and behavioral health of preschool children. Methods and Design A cluster randomized controlled trial is set up in youth health care centers in the larger Rotterdam area in the Netherlands, to evaluate the BITSEA. The 31 youth health care centers are randomly allocated to either the control group or the intervention group. The intervention group uses the scores on the BITSEA and cut-off points to evaluate a child's social-emotional and behavioral health and to decide whether or not the child should be referred. The control group provides care as usual, which involves administering a questionnaire that structures the conversation between child health professionals and parents. At a one year follow-up measurement the social-emotional and behavioral health of all children included in the study population will be evaluated. Discussion It is hypothesized that better results will be found, in terms of social-emotional and behavioral health in the intervention group, compared to the control group, due to more adequate early detection, referral and more appropriate and timely care. Trial registration Current Controlled Trials NTR2035
Rapid eye movement sleep behavior disorder as an outlier detection problem
DEFF Research Database (Denmark)
Kempfner, Jacob; Sørensen, Gertrud Laura; Nikolic, M.
2014-01-01
OBJECTIVE: Idiopathic rapid eye movement (REM) sleep behavior disorder is a strong early marker of Parkinson's disease and is characterized by REM sleep without atonia and/or dream enactment. Because these measures are subject to individual interpretation, there is consequently need...... for quantitative methods to establish objective criteria. This study proposes a semiautomatic algorithm for the early detection of Parkinson's disease. This is achieved by distinguishing between normal REM sleep and REM sleep without atonia by considering muscle activity as an outlier detection problem. METHODS......: Sixteen healthy control subjects, 16 subjects with idiopathic REM sleep behavior disorder, and 16 subjects with periodic limb movement disorder were enrolled. Different combinations of five surface electromyographic channels, including the EOG, were tested. A muscle activity score was automatically...
Early Detection of Sporadic Pancreatic Cancer
Chari, Suresh T.; Kelly, Kimberly; Hollingsworth, Michael A.; Thayer, Sarah P.; Ahlquist, David A.; Andersen, Dana K.; Batra, Surinder K.; Brentnall, Teresa A.; Canto, Marcia; Cleeter, Deborah F.; Firpo, Matthew A.; Gambhir, Sanjiv Sam; Go, Vay Liang W.; Hines, O. Joe; Kenner, Barbara J.; Klimstra, David S.; Lerch, Markus M.; Levy, Michael J.; Maitra, Anirban; Mulvihill, Sean J.; Petersen, Gloria M.; Rhim, Andrew D.; Simeone, Diane M.; Srivastava, Sudhir; Tanaka, Masao; Vinik, Aaron I.; Wong, David
2015-01-01
Abstract Pancreatic cancer (PC) is estimated to become the second leading cause of cancer death in the United States by 2020. Early detection is the key to improving survival in PC. Addressing this urgent need, the Kenner Family Research Fund conducted the inaugural Early Detection of Sporadic Pancreatic Cancer Summit Conference in 2014 in conjunction with the 45th Anniversary Meeting of the American Pancreatic Association and Japan Pancreas Society. This seminal convening of international representatives from science, practice, and clinical research was designed to facilitate challenging interdisciplinary conversations to generate innovative ideas leading to the creation of a defined collaborative strategic pathway for the future of the field. An in-depth summary of current efforts in the field, analysis of gaps in specific areas of expertise, and challenges that exist in early detection is presented within distinct areas of inquiry: Case for Early Detection: Definitions, Detection, Survival, and Challenges; Biomarkers for Early Detection; Imaging; and Collaborative Studies. In addition, an overview of efforts in familial PC is presented in an addendum to this article. It is clear from the summit deliberations that only strategically designed collaboration among investigators, institutions, and funders will lead to significant progress in early detection of sporadic PC. PMID:25931254
Which behavioral, emotional and school problems in middle-childhood predict early sexual behavior?
Parkes, Alison; Waylen, Andrea; Sayal, Kapil; Heron, Jon; Henderson, Marion; Wight, Daniel; Macleod, John
2014-04-01
Mental health and school adjustment problems are thought to distinguish early sexual behavior from normative timing (16-18 years), but little is known about how early sexual behavior originates from these problems in middle-childhood. Existing studies do not allow for co-occurring problems, differences in onset and persistence, and there is no information on middle-childhood school adjustment in relationship to early sexual activity. This study examined associations between several middle-childhood problems and early sexual behavior, using a subsample (N = 4,739, 53 % female, 98 % white, mean age 15 years 6 months) from a birth cohort study, the Avon Longitudinal Study of Parents and Children. Adolescents provided information at age 15 on early sexual behavior (oral sex and/or intercourse) and sexual risk-taking, and at age 13 on prior risk involvement (sexual behavior, antisocial behavior and substance use). Information on hyperactivity/inattention, conduct problems, depressive symptoms, peer relationship problems, school dislike and school performance was collected in middle-childhood at Time 1 (6-8 years) and Time 2 (10-11 years). In agreement with previous research, conduct problems predicted early sexual behavior, although this was found only for persistent early problems. In addition, Time 2 school dislike predicted early sexual behavior, while peer relationship problems were protective. Persistent early school dislike further characterized higher-risk groups (early sexual behavior preceded by age 13 risk, or accompanied by higher sexual risk-taking). The study establishes middle-childhood school dislike as a novel risk factor for early sexual behavior and higher-risk groups, and the importance of persistent conduct problems. Implications for the identification of children at risk and targeted intervention are discussed, as well as suggestions for further research.
Ethics dilemmas of early detection of obesity
DEFF Research Database (Denmark)
Vallgårda, Signild
2016-01-01
Aim: To discuss the ethics dilemmas of the early detection of overweight and obesity. Methods: Analysis of the ethical aspects of early detection. Results: The early detection of overweight and obesity entails a number of ethical dilemmas because it may both be helpful and harmful. It may help...
New radio detections of early-type pre-main-sequence stars
Skinner, Stephen L.; Brown, Alexander; Linsky, Jeffrey L.
1990-01-01
Results of VLA radio continuum observations of 13 early-type pre-main-sequence stars selected from the 1984 catalog of Finkenzeller and Mundt are presented. The stars HD 259431 and MWC 1080 were detected at 3.6 cm, while HD 200775 and TY CrA were detected at both 3.6 and 6 cm. The flux density of HD 200775 has a frequency dependence consistent with the behavior expected for free-free emission originating in a fully ionized wind. However, an observation in A configuration suggests that the source geometry may not be spherically symmetric. In contrast, the spectral index of TY CrA is negative with a flux behavior implying nonthermal emission. The physical mechanism responsible for the nonthermal emission has not yet been identified, although gyrosynchrotron and synchrotron processes cannot be ruled out.
Dey, Subhojit; Sharma, Surabhi; Mishra, Arti; Krishnan, Suneeta; Govil, Jyotsna; Dhillon, Preet K.
2016-01-01
Background Globally, breast cancer (BC) has become the leading cause of mortality in women. Awareness and early detection can curb the growing burden of BC and are the first step in the battle against BC. The aim of this qualitative study was to explore the awareness and perceived barriers concerning the early detection of BC. Methods A total of 20 focus group discussions (FGDs) were conducted during May 2013–March 2014. Pre-existing themes were used to conduct FGDs; each FGD group consisted ...
Algorithms for the detection of chewing behavior in dietary monitoring applications
Schmalz, Mark S.; Helal, Abdelsalam; Mendez-Vasquez, Andres
2009-08-01
The detection of food consumption is key to the implementation of successful behavior modification in support of dietary monitoring and therapy, for example, during the course of controlling obesity, diabetes, or cardiovascular disease. Since the vast majority of humans consume food via mastication (chewing), we have designed an algorithm that automatically detects chewing behaviors in surveillance video of a person eating. Our algorithm first detects the mouth region, then computes the spatiotemporal frequency spectrum of a small perioral region (including the mouth). Spectral data are analyzed to determine the presence of periodic motion that characterizes chewing. A classifier is then applied to discriminate different types of chewing behaviors. Our algorithm was tested on seven volunteers, whose behaviors included chewing with mouth open, chewing with mouth closed, talking, static face presentation (control case), and moving face presentation. Early test results show that the chewing behaviors induce a temporal frequency peak at 0.5Hz to 2.5Hz, which is readily detected using a distance-based classifier. Computational cost is analyzed for implementation on embedded processing nodes, for example, in a healthcare sensor network. Complexity analysis emphasizes the relationship between the work and space estimates of the algorithm, and its estimated error. It is shown that chewing detection is possible within a computationally efficient, accurate, and subject-independent framework.
Kohler, Racquel E; Gopal, Satish; Miller, Anna R; Lee, Clara N; Reeve, Bryce B; Weiner, Bryan J; Wheeler, Stephanie B
2017-01-01
Many women in Africa are diagnosed with advanced breast cancer. We explored Malawian breast cancer patients' perspectives about their diagnosis and ability to access care to identify help-seeking behaviors and to describe factors influencing delay. We purposively sampled 20 Malawian breast cancer patients to conduct in-depth interviews. Transcripts were double coded to identify major themes of breast cancer help-seeking behaviors and what delayed or facilitated access to care. We outlined a breast cancer help-seeking pathway describing decisions, behaviors, and interactions from symptom presentation to receipt of cancer care. Patients were largely unaware of breast cancer and did not immediately notice or interpret symptoms. As symptoms progressed, women inferred illness and sought help from social networks, traditional remedies, and medical care. Economic hardship, distance to the facility, provider knowledge, health system factors, and social norms often delayed reaching the facility, referrals, diagnosis, and receipt of care. Social-contextual factors at the individual, interpersonal, health system, and societal levels delay decisions, behaviors, and access to breast cancer detection and appropriate care. A comprehensive approach to improving breast cancer early detection must address public awareness and misconceptions, provider knowledge and communication, and cancer care delivery. Copyright © 2016 Elsevier Ireland Ltd. All rights reserved.
New radio detections of early-type pre-main-sequence stars
International Nuclear Information System (INIS)
Skinner, S.L.; Brown, A.; Linsky, J.L.
1990-01-01
Results of VLA radio continuum observations of 13 early-type pre-main-sequence stars selected from the 1984 catalog of Finkenzeller and Mundt are presented. The stars HD 259431 and MWC 1080 were detected at 3.6 cm, while HD 200775 and TY CrA were detected at both 3.6 and 6 cm. The flux density of HD 200775 has a frequency dependence consistent with the behavior expected for free-free emission originating in a fully ionized wind. However, an observation in A configuration suggests that the source geometry may not be spherically symmetric. In contrast, the spectral index of TY CrA is negative with a flux behavior implying nonthermal emission. The physical mechanism responsible for the nonthermal emission has not yet been identified, although gyrosynchrotron and synchrotron processes cannot be ruled out. 32 refs
Early Detection of Sporadic Pancreatic Cancer
Kenner, Barbara J.; Chari, Suresh T.; Cleeter, Deborah F.; Go, Vay Liang W.
2015-01-01
Abstract Innovation leading to significant advances in research and subsequent translation to clinical practice is urgently necessary in early detection of sporadic pancreatic cancer. Addressing this need, the Early Detection of Sporadic Pancreatic Cancer Summit Conference was conducted by Kenner Family Research Fund in conjunction with the 2014 American Pancreatic Association and Japan Pancreas Society Meeting. International interdisciplinary scientific representatives engaged in strategic facilitated conversations based on distinct areas of inquiry: Case for Early Detection: Definitions, Detection, Survival, and Challenges; Biomarkers for Early Detection; Imaging; and Collaborative Studies. Ideas generated from the summit have led to the development of a Strategic Map for Innovation built upon 3 components: formation of an international collaborative effort, design of an actionable strategic plan, and implementation of operational standards, research priorities, and first-phase initiatives. Through invested and committed efforts of leading researchers and institutions, philanthropic partners, government agencies, and supportive business entities, this endeavor will change the future of the field and consequently the survival rate of those diagnosed with pancreatic cancer. PMID:25938853
Bouma, H.; Baan, J.; Burghouts, G.J.; Eendebak, P.T.; Huis, J.R. van; Dijk, J.; Rest, J.H.C. van
2014-01-01
Proactive detection of incidents is required to decrease the cost of security incidents. This paper focusses on the automatic early detection of suspicious behavior of pickpockets with track-based features in a crowded shopping mall. Our method consists of several steps: pedestrian tracking, feature
Riboni, Daniele; Bettini, Claudio; Civitarese, Gabriele; Janjua, Zaffar Haider; Helaoui, Rim
2016-02-01
In an ageing world population more citizens are at risk of cognitive impairment, with negative consequences on their ability of independent living, quality of life and sustainability of healthcare systems. Cognitive neuroscience researchers have identified behavioral anomalies that are significant indicators of cognitive decline. A general goal is the design of innovative methods and tools for continuously monitoring the functional abilities of the seniors at risk and reporting the behavioral anomalies to the clinicians. SmartFABER is a pervasive system targeting this objective. A non-intrusive sensor network continuously acquires data about the interaction of the senior with the home environment during daily activities. A novel hybrid statistical and knowledge-based technique is used to analyses this data and detect the behavioral anomalies, whose history is presented through a dashboard to the clinicians. Differently from related works, SmartFABER can detect abnormal behaviors at a fine-grained level. We have fully implemented the system and evaluated it using real datasets, partly generated by performing activities in a smart home laboratory, and partly acquired during several months of monitoring of the instrumented home of a senior diagnosed with MCI. Experimental results, including comparisons with other activity recognition techniques, show the effectiveness of SmartFABER in terms of recognition rates. Copyright © 2016 Elsevier B.V. All rights reserved.
Nanotechnology for Early Cancer Detection
Directory of Open Access Journals (Sweden)
Joon Won Park
2010-01-01
Full Text Available Vast numbers of studies and developments in the nanotechnology area have been conducted and many nanomaterials have been utilized to detect cancers at early stages. Nanomaterials have unique physical, optical and electrical properties that have proven to be very useful in sensing. Quantum dots, gold nanoparticles, magnetic nanoparticles, carbon nanotubes, gold nanowires and many other materials have been developed over the years, alongside the discovery of a wide range of biomarkers to lower the detection limit of cancer biomarkers. Proteins, antibody fragments, DNA fragments, and RNA fragments are the base of cancer biomarkers and have been used as targets in cancer detection and monitoring. It is highly anticipated that in the near future, we might be able to detect cancer at a very early stage, providing a much higher chance of treatment.
Heritable and Nonheritable Pathways to Early Callous-Unemotional Behaviors.
Hyde, Luke W; Waller, Rebecca; Trentacosta, Christopher J; Shaw, Daniel S; Neiderhiser, Jenae M; Ganiban, Jody M; Reiss, David; Leve, Leslie D
2016-09-01
Callous-unemotional behaviors in early childhood signal higher risk for trajectories of antisocial behavior and callous-unemotional traits that culminate in later diagnoses of conduct disorder, antisocial personality disorder, and psychopathy. Studies demonstrate high heritability of callous-unemotional traits, but little research has examined specific heritable pathways to early callous-unemotional behaviors. Studies also indicate that positive parenting protects against the development of callous-unemotional traits, but genetically informed designs have not been used to confirm that these relationships are not the product of gene-environment correlations. In a sample of adopted children and their biological and adoptive mothers, the authors tested novel heritable and nonheritable pathways to preschool callous-unemotional behaviors. In an adoption cohort of 561 families, history of severe antisocial behavior assessed in biological mothers and observations of adoptive mother positive reinforcement at 18 months were examined as predictors of callous-unemotional behaviors at 27 months. Despite limited or no contact with offspring, biological mother antisocial behavior predicted early callous-unemotional behaviors. Adoptive mother positive reinforcement protected against early callous-unemotional behaviors. High levels of adoptive mother positive reinforcement buffered the effects of heritable risk for callous-unemotional behaviors posed by biological mother antisocial behavior. The findings elucidate heritable and nonheritable pathways to early callous-unemotional behaviors. The results provide a specific heritable pathway to callous-unemotional behaviors and compelling evidence that parenting is an important nonheritable factor in the development of callous-unemotional behaviors. The finding that positive reinforcement buffered heritable risk for callous-unemotional behaviors has important translational implications for the prevention of trajectories to serious
Early detection of materials degradation
Meyendorf, Norbert
2017-02-01
Lightweight components for transportation and aerospace applications are designed for an estimated lifecycle, taking expected mechanical and environmental loads into account. The main reason for catastrophic failure of components within the expected lifecycle are material inhomogeneities, like pores and inclusions as origin for fatigue cracks, that have not been detected by NDE. However, material degradation by designed or unexpected loading conditions or environmental impacts can accelerate the crack initiation or growth. Conventional NDE methods are usually able to detect cracks that are formed at the end of the degradation process, but methods for early detection of fatigue, creep, and corrosion are still a matter of research. For conventional materials ultrasonic, electromagnetic, or thermographic methods have been demonstrated as promising. Other approaches are focused to surface damage by using optical methods or characterization of the residual surface stresses that can significantly affect the creation of fatigue cracks. For conventional metallic materials, material models for nucleation and propagation of damage have been successfully applied for several years. Material microstructure/property relations are well established and the effect of loading conditions on the component life can be simulated. For advanced materials, for example carbon matrix composites or ceramic matrix composites, the processes of nucleation and propagation of damage is still not fully understood. For these materials NDE methods can not only be used for the periodic inspections, but can significantly contribute to the material scientific knowledge to understand and model the behavior of composite materials.
Early detection of COPD in general practice
DEFF Research Database (Denmark)
Dahl, Ronald; Ulrik, Charlotte Suppli; Løkke, Anders
2011-01-01
Early detection enables the possibility for interventions to reduce the future burden of COPD. The Danish National Board of Health recommends that individuals >35 years with tobacco/occupational exposure, and at least 1 respiratory symptom should be offered a spirometry to facilitate early detect...
Improved Motion Estimation Using Early Zero-Block Detection
Directory of Open Access Journals (Sweden)
Y. Lin
2008-07-01
Full Text Available We incorporate the early zero-block detection technique into the UMHexagonS algorithm, which has already been adopted in H.264/AVC JM reference software, to speed up the motion estimation process. A nearly sufficient condition is derived for early zero-block detection. Although the conventional early zero-block detection method can achieve significant improvement in computation reduction, the PSNR loss, to whatever extent, is not negligible especially for high quantization parameter (QP or low bit-rate coding. This paper modifies the UMHexagonS algorithm with the early zero-block detection technique to improve its coding performance. The experimental results reveal that the improved UMHexagonS algorithm greatly reduces computation while maintaining very high coding efficiency.
Automatic REM sleep detection associated with idiopathic rem sleep Behavior Disorder
DEFF Research Database (Denmark)
Kempfner, J; Sørensen, Gertrud Laura; Sorensen, H B D
2011-01-01
Rapid eye movement sleep Behavior Disorder (RBD) is a strong early marker of later development of Parkinsonism. Currently there are no objective methods to identify and discriminate abnormal from normal motor activity during REM sleep. Therefore, a REM sleep detection without the use of chin...... electromyography (EMG) is useful. This is addressed by analyzing the classification performance when implementing two automatic REM sleep detectors. The first detector uses the electroencephalography (EEG), electrooculography (EOG) and EMG to detect REM sleep, while the second detector only uses the EEG and EOG....
LaGasse, Linda L.; Conradt, Elisabeth; Karalunas, Sarah L.; Dansereau, Lynne M.; Butner, Jonathan E.; Shankaran, Seetha; Bada, Henrietta; Bauer, Charles R.; Whitaker, Toni M.; Lester, Barry M.
2016-01-01
Developmental psychopathologists face the difficult task of identifying the environmental conditions that may contribute to early childhood behavior problems. Highly stressed caregivers can exacerbate behavior problems, while children with behavior problems may make parenting more difficult and increase caregiver stress. Unknown is: (1) how these transactions originate, (2) whether they persist over time to contribute to the development of problem behavior and (3) what role resilience factors, such as child executive functioning, may play in mitigating the development of problem behavior. In the present study, transactional relations between caregiving stress, executive functioning, and behavior problems were examined in a sample of 1,388 children with prenatal drug exposures at three developmental time points: early childhood (birth-age 5), middle childhood (ages 6 to 9), and early adolescence (ages 10 to 13). Transactional relations differed between caregiving stress and internalizing versus externalizing behavior. Targeting executive functioning in evidence-based interventions for children with prenatal substance exposure who present with internalizing problems and treating caregiving psychopathology, depression, and parenting stress in early childhood may be particularly important for children presenting with internalizing behavior. PMID:27427803
Fall Risk Assessment and Early-Warning for Toddler Behaviors at Home
Directory of Open Access Journals (Sweden)
Mau-Tsuen Yang
2013-12-01
Full Text Available Accidental falls are the major cause of serious injuries in toddlers, with most of these falls happening at home. Instead of providing immediate fall detection based on short-term observations, this paper proposes an early-warning childcare system to monitor fall-prone behaviors of toddlers at home. Using 3D human skeleton tracking and floor plane detection based on depth images captured by a Kinect system, eight fall-prone behavioral modules of toddlers are developed and organized according to four essential criteria: posture, motion, balance, and altitude. The final fall risk assessment is generated by a multi-modal fusion using either a weighted mean thresholding or a support vector machine (SVM classification. Optimizations are performed to determine local parameter in each module and global parameters of the multi-modal fusion. Experimental results show that the proposed system can assess fall risks and trigger alarms with an accuracy rate of 92% at a speed of 20 frames per second.
Fall Risk Assessment and Early-Warning for Toddler Behaviors at Home
Yang, Mau-Tsuen; Chuang, Min-Wen
2013-01-01
Accidental falls are the major cause of serious injuries in toddlers, with most of these falls happening at home. Instead of providing immediate fall detection based on short-term observations, this paper proposes an early-warning childcare system to monitor fall-prone behaviors of toddlers at home. Using 3D human skeleton tracking and floor plane detection based on depth images captured by a Kinect system, eight fall-prone behavioral modules of toddlers are developed and organized according to four essential criteria: posture, motion, balance, and altitude. The final fall risk assessment is generated by a multi-modal fusion using either a weighted mean thresholding or a support vector machine (SVM) classification. Optimizations are performed to determine local parameter in each module and global parameters of the multi-modal fusion. Experimental results show that the proposed system can assess fall risks and trigger alarms with an accuracy rate of 92% at a speed of 20 frames per second. PMID:24335727
Fall risk assessment and early-warning for toddler behaviors at home.
Yang, Mau-Tsuen; Chuang, Min-Wen
2013-12-10
Accidental falls are the major cause of serious injuries in toddlers, with most of these falls happening at home. Instead of providing immediate fall detection based on short-term observations, this paper proposes an early-warning childcare system to monitor fall-prone behaviors of toddlers at home. Using 3D human skeleton tracking and floor plane detection based on depth images captured by a Kinect system, eight fall-prone behavioral modules of toddlers are developed and organized according to four essential criteria: posture, motion, balance, and altitude. The final fall risk assessment is generated by a multi-modal fusion using either a weighted mean thresholding or a support vector machine (SVM) classification. Optimizations are performed to determine local parameter in each module and global parameters of the multi-modal fusion. Experimental results show that the proposed system can assess fall risks and trigger alarms with an accuracy rate of 92% at a speed of 20 frames per second.
Waller, Rebecca; Dishion, Thomas J.; Shaw, Daniel S.; Gardner, Frances; Wilson, Melvin N.; Hyde, Luke W.
2016-01-01
Callous-unemotional (CU) behavior has been linked to behavior problems in children and adolescents. However, few studies have examined whether CU behavior in "early childhood" predicts behavior problems or CU behavior in "late childhood". This study examined whether indicators of CU behavior at ages 2-4 predicted aggression,…
DEFF Research Database (Denmark)
Larsen, Tor Ketil; Melle, Ingrid; Auestad, B.
2011-01-01
Background During the last decades we have seen a new focus on early treatment of psychosis. Several reviews have shown that duration of untreated psychosis (DUP) is correlated to better outcome. However, it is still unknown whether early treatment will lead to a better long-term outcome....... This study reports the effects of reducing DUP on 5-year course and outcome. Method During 1997–2000 a total of 281 consecutive patients aged >17 years with first episode non-affective psychosis were recruited, of which 192 participated in the 5-year follow-up. A comprehensive early detection (ED) programme...... and cognitive factors and for global assessment of functioning for social functioning at 5-year follow-up. The ED group also had more contacts with friends. Regression analysis did not find that these differences could be explained by confounders. Conclusions Early treatment had positive effects on clinical...
Early detection of COPD in general practice
DEFF Research Database (Denmark)
Ulrik, Charlotte Suppli; Løkke, Anders; Dahl, Ronald
2011-01-01
Early detection enables the possibility for interventions to reduce the future burden of COPD. The Danish National Board of Health recommends that individuals >35 years with tobacco/occupational exposure, and at least 1 respiratory symptom should be offered a spirometry to facilitate early...... detection of COPD. The aim, therefore, was to provide evidence for the feasibility and impact of doing spirometry in this target population....
Early detection of ecosystem regime shifts
DEFF Research Database (Denmark)
Lindegren, Martin; Dakos, Vasilis; Groeger, Joachim P.
2012-01-01
methods may have limited utility in ecosystem-based management as they show no or weak potential for early-warning. We therefore propose a multiple method approach for early detection of ecosystem regime shifts in monitoring data that may be useful in informing timely management actions in the face...
Automated early detection of diabetic retinopathy
Abràmoff, M.D.; Reinhardt, J.M.; Russell, S.R.; Folk, J.C.; Mahajan, V.B.; Niemeijer, M.; Quellec, G.
2010-01-01
Purpose To compare the performance of automated diabetic retinopathy (DR) detection, using the algorithm that won the 2009 Retinopathy Online Challenge Competition in 2009, the Challenge2009, against that of the one currently used in EyeCheck, a large computer-aided early DR detection project.
Deep Recurrent Neural Networks for seizure detection and early seizure detection systems
Energy Technology Data Exchange (ETDEWEB)
Talathi, S. S. [Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)
2017-06-05
Epilepsy is common neurological diseases, affecting about 0.6-0.8 % of world population. Epileptic patients suffer from chronic unprovoked seizures, which can result in broad spectrum of debilitating medical and social consequences. Since seizures, in general, occur infrequently and are unpredictable, automated seizure detection systems are recommended to screen for seizures during long-term electroencephalogram (EEG) recordings. In addition, systems for early seizure detection can lead to the development of new types of intervention systems that are designed to control or shorten the duration of seizure events. In this article, we investigate the utility of recurrent neural networks (RNNs) in designing seizure detection and early seizure detection systems. We propose a deep learning framework via the use of Gated Recurrent Unit (GRU) RNNs for seizure detection. We use publicly available data in order to evaluate our method and demonstrate very promising evaluation results with overall accuracy close to 100 %. We also systematically investigate the application of our method for early seizure warning systems. Our method can detect about 98% of seizure events within the first 5 seconds of the overall epileptic seizure duration.
Perry, Nicole B.; Swingler, Margaret M.; Calkins, Susan D.; Bell, Martha Ann
2015-01-01
Current theoretical conceptualizations of regulatory development suggest that attention processes and emotion regulation processes share common neurophysiological underpinnings and behavioral antecedents such that emotion regulation abilities may build upon early attentional skills. To further elucidate this proposed relationship, we tested whether early neurophysiological processes measured during an attention task in infancy predicted in-task attention behavior, and whether infant's attention behavior was subsequently associated with their ability to regulate emotion in early childhood (N=388). Results indicated that, greater EEG power change (from baseline to task) at medial frontal locations (F3 and F4) during an attention task at 10 months were associated with concurrent observed behavioral attention. Specifically, greater change in EEG power at the right frontal location (F4) was associated with more attention, and greater EEG power at the left frontal location (F3) was associated with less attention, indicating a potential right hemisphere specialization for attention processes already present in the first year of life. In addition, after controlling for 5-month attention behavior, increased behavioral attention at 10-months was negatively associated with children's observed frustration to emotional challenge at age 3. Finally, the indirect effects from 10-month EEG power change at F3 and F4 to 3-year emotion regulation via infants' 10-month behavioral attention were significant, suggesting that infant's attention behavior is one mechanism through which early neurophysiological activity is related to emotion regulation abilities in childhood. PMID:26381926
Detection of Early lung Cancer Among Military Personnel (DECAMP)
2017-10-01
Award Number: W81XWH-11-2-0161 TITLE: Detection of Early lung Cancer Among Military Personnel (DECAMP) PRINCIPAL INVESTIGATOR: Avrum E. Spira...W81XWH-11-2-0161 Detection of Early lung Cancer Among Military Personnel (DECAMP) 5b. GRANT NUMBER W81XWH-11-2-0161 5c. PROGRAM ELEMENT NUMBER 6...biomarkers found in blood, tissues, or other bodily fluids, which may be used for the early detection of lung cancer among military personnel and
Heritable and non-heritable pathways to early callous-unemotional behaviors
Hyde, Luke W.; Waller, Rebecca; Trentacosta, Christopher J.; Shaw, Daniel S.; Neiderhiser, Jenae M.; Ganiban, Jody M.; Reiss, David; Leve, Leslie D.
2016-01-01
Objective Callous-unemotional behaviors in early childhood identify children at high risk for severe trajectories of antisocial behavior and callous-unemotional traits that culminate in later diagnoses of conduct disorder, antisocial personality disorder, and psychopathy. Studies have demonstrated high heritability of callous-unemotional traits, but little research has examined specific heritable pathways to earlier callous-unemotional behaviors. Additionally, studies indicate that positive parenting protects against the development of callous-unemotional traits, but genetically informed designs have not been used to confirm that these relationships are not the product of gene-environment correlations. Method Using an adoption cohort of 561 families, biological mothers reported their history of severe antisocial behavior. Observations of adoptive mother positive reinforcement at 18 months were examined as predictors of callous-unemotional behaviors when children were 27 months old. Results Biological mother antisocial behavior predicted early callous-unemotional behaviors despite having no or limited contact with offspring. Adoptive mother positive reinforcement protected against early callous-unemotional behaviors in children not genetically related to the parent. High levels of adoptive mother positive reinforcement buffered the effects of heritable risk for callous-unemotional behaviors posed by biological mother antisocial behavior. Conclusions The findings elucidate heritable and non-heritable pathways to early callous-unemotional behaviors. The results provide a specific heritable pathway to callous-unemotional behaviors and compelling evidence that parenting is an important non-heritable factor in the development of callous-unemotional behaviors. As positive reinforcement buffered heritable risk for callous-unemotional behaviors, these findings have important translational implications for the prevention of trajectories to serious antisocial behavior. PMID
Zhu, Feng; Hu, Xiaofeng; He, Xiaoyuan; Guo, Rui; Li, Kaiming; Yang, Lu
2017-11-01
In the military field, the performance evaluation of early-warning aircraft deployment or construction is always an important problem needing to be explored. As an effective approach of enterprise management and performance evaluation, Balanced Score Card (BSC) attracts more and more attentions and is studied more and more widely all over the world. It can also bring feasible ideas and technical approaches for studying the issue of the performance evaluation of the deployment or construction of early-warning aircraft which is the important component in early-warning detection system of systems (SoS). Therefore, the deep explored researches are carried out based on the previously research works. On the basis of the characteristics of space exploration and aerial detection effectiveness of early-warning detection SoS and the cardinal principle of BSC are analyzed simply, and the performance evaluation framework of the deployment or construction of early-warning aircraft is given, under this framework, aimed at the evaluation issue of aerial detection effectiveness of early-warning detection SoS with the cooperation efficiency factors of the early-warning aircraft and other land based radars, the evaluation indexes are further designed and the relative evaluation model is further established, especially the evaluation radar chart being also drawn to obtain the evaluation results from a direct sight angle. Finally, some practical computer simulations are launched to prove the validity and feasibility of the research thinking and technologic approaches which are proposed in the paper.
Early cell death detection with digital holographic microscopy.
Directory of Open Access Journals (Sweden)
Nicolas Pavillon
Full Text Available BACKGROUND: Digital holography provides a non-invasive measurement of the quantitative phase shifts induced by cells in culture, which can be related to cell volume changes. It has been shown previously that regulation of cell volume, in particular as it relates to ionic homeostasis, is crucially involved in the activation/inactivation of the cell death processes. We thus present here an application of digital holographic microscopy (DHM dedicated to early and label-free detection of cell death. METHODS AND FINDINGS: We provide quantitative measurements of phase signal obtained on mouse cortical neurons, and caused by early neuronal cell volume regulation triggered by excitotoxic concentrations of L-glutamate. We show that the efficiency of this early regulation of cell volume detected by DHM, is correlated with the occurrence of subsequent neuronal death assessed with the widely accepted trypan blue method for detection of cell viability. CONCLUSIONS: The determination of the phase signal by DHM provides a simple and rapid optical method for the early detection of cell death.
Trojan detection model based on network behavior analysis
International Nuclear Information System (INIS)
Liu Junrong; Liu Baoxu; Wang Wenjin
2012-01-01
Based on the analysis of existing Trojan detection technology, this paper presents a Trojan detection model based on network behavior analysis. First of all, we abstract description of the Trojan network behavior, then according to certain rules to establish the characteristic behavior library, and then use the support vector machine algorithm to determine whether a Trojan invasion. Finally, through the intrusion detection experiments, shows that this model can effectively detect Trojans. (authors)
Bouma, H.; Baan, J.; Burghouts, G.J.; Eendebak, P.T.; Huis, J.R. van; Dijk, J.; Rest, J.H.C. van
2014-01-01
Proactive detection of incidents is required to decrease the cost of security incidents. This paper focusses on the automatic early detection of suspicious behavior of pickpockets with track-based features in a crowded shopping mall. Our method consists of several steps: pedestrian tracking, feature computation and pickpocket recognition. This is challenging because the environment is crowded, people move freely through areas which cannot be covered by a single camera, because the actual snat...
Early detection of rogue waves by the wavelet transforms
International Nuclear Information System (INIS)
Bayındır, Cihan
2016-01-01
Highlights: • The advantages of wavelet analysis over the Fourier analysis for the early detection of rogue waves are discussed. • The triangular wavelet spectra can be detected at early stages of the development of rogue waves. • The wavelet analysis is capable of detecting not only the emergence but also the location of a rogue wave. • Wavelet analysis is also capable of predicting the characteristic distances between successive rogue waves. - Abstract: We discuss the possible advantages of using the wavelet transform over the Fourier transform for the early detection of rogue waves. We show that the triangular wavelet spectra of the rogue waves can be detected at early stages of the development of rogue waves in a chaotic wave field. Compared to the Fourier spectra, the wavelet spectra are capable of detecting not only the emergence of a rogue wave but also its possible spatial (or temporal) location. Due to this fact, wavelet transform is also capable of predicting the characteristic distances between successive rogue waves. Therefore multiple simultaneous breaking of the successive rogue waves on ships or on the offshore structures can be predicted and avoided by smart designs and operations.
Early detection of rogue waves by the wavelet transforms
Energy Technology Data Exchange (ETDEWEB)
Bayındır, Cihan, E-mail: cihan.bayindir@isikun.edu.tr
2016-01-08
Highlights: • The advantages of wavelet analysis over the Fourier analysis for the early detection of rogue waves are discussed. • The triangular wavelet spectra can be detected at early stages of the development of rogue waves. • The wavelet analysis is capable of detecting not only the emergence but also the location of a rogue wave. • Wavelet analysis is also capable of predicting the characteristic distances between successive rogue waves. - Abstract: We discuss the possible advantages of using the wavelet transform over the Fourier transform for the early detection of rogue waves. We show that the triangular wavelet spectra of the rogue waves can be detected at early stages of the development of rogue waves in a chaotic wave field. Compared to the Fourier spectra, the wavelet spectra are capable of detecting not only the emergence of a rogue wave but also its possible spatial (or temporal) location. Due to this fact, wavelet transform is also capable of predicting the characteristic distances between successive rogue waves. Therefore multiple simultaneous breaking of the successive rogue waves on ships or on the offshore structures can be predicted and avoided by smart designs and operations.
Early breast cancer detection in the hospital setting
International Nuclear Information System (INIS)
Vega, A.; Ortega, E.; Garcia-Valtuille, R.; Erasun, F.; Millan, R.; Garijo, F.
1997-01-01
The purpose of this study is to evaluate the benefits of mammography in general and particularly as a screening method in the early detection of breast cancer in our hospital. All the cases of breast carcinoma registered in our section between 1989 and 1995 were reviewed retrospectively. The total number of carcinomas was 775, 168 (22%) of which were diagnosed solely on the basis of mammography. The percentage of carcinomas detected on the basis of mammography alone increased progressively (from 13% in 1989-1990 to 28% in 1994-1995), coinciding with a progressive rise in the volume of screening mammography. Early carcinomas, referring to those in stages O or I, represented 67% of those detected by mammography in general and 17% of those detected by palpation (p<0.001). The proportion was even greater among cases of carcinoma detected exclusively by screening mammography (78 versus 17%; p<0.001). Although mammography has been instrumental in increasing the rate of early detection of breast carcinoma in our center, a large number of patients still present with palpable lesions. Thus, a greater effort should be made to increase the practice of mammography in asymptomatic women. (Author) 13 refs
Pedersen, Sara; Vitaro, Frank; Barker, Edward D.; Borge, Anne I. H.
2007-01-01
This study used a sample of 551 children surveyed yearly from ages 6 to 13 to examine the longitudinal associations among early behavior, middle-childhood peer rejection and friendedness, and early-adolescent depressive symptoms, loneliness, and delinquency. The study tested a sequential mediation hypothesis in which (a) behavior problems in the…
Early Puberty, Negative Peer Influence, and Problem Behaviors in Adolescent Girls
Elliott, Marc N.; Davies, Susan; Tortolero, Susan R.; Cuccaro, Paula; Schuster, Mark A.
2014-01-01
OBJECTIVE: To determine how early puberty and peer deviance relate to trajectories of aggressive and delinquent behavior in early adolescence and whether these relationships differ by race/ethnicity. METHODS: In this longitudinal study, 2607 girls from 3 metropolitan areas and their parents were interviewed at ages 11, 13, and 16 years. Girls reported on their age of onset of menarche, best friend’s deviant behavior, delinquency, and physical, relational, and nonphysical aggression. Parents provided information on family sociodemographic characteristics and girls’ race/ethnicity. RESULTS: Sixteen percent of girls were classified as early maturers (defined by onset of menarche before age 11 years). Overall, relational and nonphysical aggression increased from age 11 to age 16, whereas delinquency and physical aggression remained stable. Early puberty was associated with elevated delinquency and physical aggression at age 11. The relationship with early puberty diminished over time for physical aggression but not for delinquency. Best friend’s deviant behavior was linked with higher levels of all problem behaviors, but the effect lessened over time for most outcomes. Early puberty was associated with a stronger link between best friend’s deviance and delinquency, suggesting increased vulnerability to negative peer influences among early-maturing girls. A similar vulnerability was observed for relational and nonphysical aggression among girls in the “other” racial/ethnic minority group only. CONCLUSIONS: Early puberty and friends’ deviance may increase the risk of problem behavior in young adolescent girls. Although many of these associations dissipate over time, early-maturing girls are at risk of persistently higher delinquency and stronger negative peer influences. PMID:24324002
Early puberty, negative peer influence, and problem behaviors in adolescent girls.
Mrug, Sylvie; Elliott, Marc N; Davies, Susan; Tortolero, Susan R; Cuccaro, Paula; Schuster, Mark A
2014-01-01
To determine how early puberty and peer deviance relate to trajectories of aggressive and delinquent behavior in early adolescence and whether these relationships differ by race/ethnicity. In this longitudinal study, 2607 girls from 3 metropolitan areas and their parents were interviewed at ages 11, 13, and 16 years. Girls reported on their age of onset of menarche, best friend's deviant behavior, delinquency, and physical, relational, and nonphysical aggression. Parents provided information on family sociodemographic characteristics and girls' race/ethnicity. Sixteen percent of girls were classified as early maturers (defined by onset of menarche before age 11 years). Overall, relational and nonphysical aggression increased from age 11 to age 16, whereas delinquency and physical aggression remained stable. Early puberty was associated with elevated delinquency and physical aggression at age 11. The relationship with early puberty diminished over time for physical aggression but not for delinquency. Best friend's deviant behavior was linked with higher levels of all problem behaviors, but the effect lessened over time for most outcomes. Early puberty was associated with a stronger link between best friend's deviance and delinquency, suggesting increased vulnerability to negative peer influences among early-maturing girls. A similar vulnerability was observed for relational and nonphysical aggression among girls in the "other" racial/ethnic minority group only. Early puberty and friends' deviance may increase the risk of problem behavior in young adolescent girls. Although many of these associations dissipate over time, early-maturing girls are at risk of persistently higher delinquency and stronger negative peer influences.
Automatic REM Sleep Detection Associated with Idiopathic REM Sleep Behavior Disorder
DEFF Research Database (Denmark)
Kempfner, Jacob; Sørensen, Gertrud Laura; Sørensen, Helge Bjarup Dissing
2011-01-01
Rapid eye movement sleep Behavior Disorder (RBD) is a strong early marker of later development of Parkinsonism. Currently there are no objective methods to identify and discriminate abnormal from normal motor activity during REM sleep. Therefore, a REM sleep detection without the use of chin...... electromyography (EMG) is useful. This is addressed by analyzing the classification performance when implementing two automatic REM sleep detectors. The first detector uses the electroencephalography (EEG), electrooculography (EOG) and EMG to detect REM sleep, while the second detector only uses the EEG and EOG......, an automatic computerized REM detection algorithm has been implemented, using wavelet packet combined with artificial neural network. Results: When using the EEG, EOG and EMG modalities, it was possible to correctly classify REM sleep with an average Area Under Curve (AUC) equal to 0:900:03 for normal subjects...
Directory of Open Access Journals (Sweden)
Annelies Van Nuffel
2015-08-01
Full Text Available Despite the research on opportunities to automatically measure lameness in cattle, lameness detection systems are not widely available commercially and are only used on a few dairy farms. However, farmers need to be aware of the lame cows in their herds in order treat them properly and in a timely fashion. Many papers have focused on the automated measurement of gait or behavioral cow characteristics related to lameness. In order for such automated measurements to be used in a detection system, algorithms to distinguish between non-lame and mildly or severely lame cows need to be developed and validated. Few studies have reached this latter stage of the development process. Also, comparison between the different approaches is impeded by the wide range of practical settings used to measure the gait or behavioral characteristic (e.g., measurements during normal farming routine or during experiments; cows guided or walking at their own speed and by the different definitions of lame cows. In the majority of the publications, mildly lame cows are included in the non-lame cow group, which limits the possibility of also detecting early lameness cases. In this review, studies that used sensor technology to measure changes in gait or behavior of cows related to lameness are discussed together with practical considerations when conducting lameness research. In addition, other prerequisites for any lameness detection system on farms (e.g., need for early detection, real-time measurements are discussed.
DEFF Research Database (Denmark)
Rudenko, Olga; Tkach, Vadim; Berezin, Vladimir
2009-01-01
developed behavior screening system, the IntelliCage, allows automated testing of mouse behavior in the home cage employing individual recognition of animals living in social groups. The present study validates the ability of the IntelliCage system to detect behavioral and cognitive dysfunction in R6/2 mice......Huntington's disease (HD) is an autosomal-dominant neurodegenerative disorder, for which no known cure or effective treatment exists. To facilitate the search for new potential treatments of HD, an automated system for analyzing the behavior of transgenic HD mice is urgently needed. A recently...
Directory of Open Access Journals (Sweden)
V B Bhatnagar
1987-04-01
Full Text Available Farly detection of cancer is based upon three fundamental assumptions, firstly that the trea'ment of benign and precancerous lesions reduces the incidence of cancer, secondly, that the treatment of in situ cancers is conducive to total cure and thirdly that early diagnosis and management of invasive cancer ensures be.ter survival. When patient seeks medical advice for vague symptoms, which could however be due to a possible malignant tumour at a particular site, the alert clinician should investigate the patient immediately to exclude cancer. At this stage cancer is usually not significantly advanced. Currently the U. I. C. C. (International Union for Cancer Control} is studying the epidemiology of cancers in various countries The importance of this is two folds : Firstly by focussing attention on a section of population vulnerable to a particular cancer an early detection is facilitated Secondly by changing the causative factors responsible to a particular cancer, the incidence of that cancer can be reduced e. g. reduction in lung cancer following campaigns against ciguette smoking and reductioi in breast cancer after campaigns for advocating breast feeding of infants, lowering fat consumption and encouraging self palpation of breast regularly. Indeed early diagnosis of cancer implies diagnosis of cancer in almost a symptomatic stage It involves motiva’ion of the population towards acquisitio : of knowledge, attitude and practice.. Epidemiologies and clinicians should be able to recognise high risk cases exposed to particular neoplasia and knowledge of alarming symptoms should be pro- pogated for wide publicity through common available media and means. Probable cases should have regular clhrcal examination periodically and relevant investigations including radiological, imaging techniques and Bio-Chemical examination should be undertaken as and when desired Suspicious lesions should be investigated by specific tests including smear cytology
Analysis on early clinical features of behavioral variant frontotemporal dementia
Directory of Open Access Journals (Sweden)
Guan-jun LI
2017-11-01
Full Text Available Background Although the early behavioral symptoms of behavioral variant frontotemporal dementia (bvFTD are prominent, early diagnosis for bvFTD is difficult due to confusion with other mental disorders, and lack of sensitivity and specificity of diagnostic criteria, etc. In this paper, we summarized the important reviews in recent years and analyzed the clinical characteristics of bvFTD patients to improve the detection of early symptoms in bvFTD. Methods Twenty-three possible or probable bvFTD patients were diagnosed according to International Behavioral Variant Frontotemporal Dementia Criteria Consortium (FTDC. Self-designed questionnaires designed by Shanghai Mental Health Center were used to collect sociodemographic data and general information of patients. Their clinical characteristics were summarized, including abnormal behaviors, cognitive impairment, psychotic symptoms and other symptoms. Mini-Mental State Examination (MMSE, Activities of Daily Living (ADL and Clinical Dementia Rating Scale (CDR were used to make neuropsychological tests and compare with similar overseas studies (control group, N = 66. Results Eleven male patients and 12 female patients were included in our study. Compared with control group, the average age of onset [(50.83 ± 11.55 years vs. (57.00 ± 10.00 years; t = 3.863, P = 0.000] and average age of diagnosis [(53.22 ± 11.55 years vs. (61.00 ± 9.00 years; t = 13.423, P = 0.000] of bvFTD patients were smaller. The study showed that bvFTD patients had more apathy or indolence [95.65% (22/23 vs. 65.15% (43/66; χ2 = 8.057, P = 0.005], loss of sympathy or empathy [95.65% (22/23 vs. 33.33% (22/66; χ2 = 26.499, P = 0.000], while patients in control group showed more derepression behavior [98.48% (65/66 vs. 52.17% (12/23; χ2 = 27.514, P = 0.000] and continuous, stiff, obsessive and/or ritualized behavior [95.45% (63/66 vs. 30.43% (7/23; adjusted χ2 = 39.159, P = 0.000]. For cognitive impairment, bvFTD patients
Kidney Disease: Early Detection and Treatment
... Bar Home Current Issue Past Issues Special Section Kidney Disease: Early Detection and Treatment Past Issues / Winter ... called a "urine albumin-to-creatinine ratio." Treating Kidney Disease Kidney disease is usually a progressive disease, ...
Perceived Behavioral Changes in Early Multiple Sclerosis
Directory of Open Access Journals (Sweden)
Fabiana Souza Lima
2007-01-01
Full Text Available Acquired behavioral changes have essentially been described in advanced multiple sclerosis (MS. The present study was designed to determine whether behavioral modifications specifically related to the MS pathological process could be identified in the initial phase of the disease, as compared to control patients with chronic, relapsing and progressive inflammatory disorders not involving the central nervous system (CNS. Eighty-eight early MS patients (Expanded Disability Status Scale score ≤ 2.5 and 48 controls were tested. Perceived changes by informants in behavioral control, goal-directed behavior, decision making, emotional expression, insight and interpersonal relationships were assessed using the Iowa Scale of Personality Change (ISPC. Executive behavioral disturbances were screened using the Dysexecutive Questionnaire (DEX. The mean change between the premorbid and postmorbid ISPC ratings was similar in the MS [12.2 (SD 15.6] and in the control [11.5 (SD 15.1] group. The perceived behavioral changes (PBCs most frequently reported in both groups were lack of stamina, lability/moodiness, anxiety, vulnerability to stress and irritability. Pathological scores in the DEX were also similar in both groups. Correlations between PBCs and DEX scores were different in MS and control groups. MS patients with cognitive impairment had a marginally higher number of PBCs than control patients (p = 0.056 and a significantly higher DEXp score (p = 0.04. These results suggest that (1 PBCs occurring in early MS patients were not different from those induced by comparable chronic non-CNS disorders, (2 qualitative differences in the relationship between behavioral symptoms and executive-behavioral changes may exist between MS and control groups, and (3 behavioral symptoms seem associated with cognitive deficits in MS. We further plan to assess these observations longitudinally.
Maltreatment in early childhood: a scoping review of prevention, detection and treatment
Directory of Open Access Journals (Sweden)
Luis Lefio Celedón
2013-08-01
Full Text Available Purpose. To identify and synthesize the best available evidence on the effectiveness of interventions for universal prevention, detection and treatment of early childhood maltreatment (0-4 years. Design. Scoping Review. Data sources. MEDLINE, LILACS, PsycINFO, Psyclist, SciELO, ISI Web of Knowledge, Science Direct, EBSCO, EMBASE, Cochrane Library, DARE, Google Scholar and UNICEF Base. Methods. A variety of keywords were used to identify quantitative experimental and observational studies on detection, prevention and treatment strategies in different situations of child maltreatment. Sexual abuse was excluded. The search spanned from 2002 to 2012, in English and Spanish. Results. Of 105 articles, 36 met the selection criteria. In prevention, the best evaluated strategies were parenting programs based on cognitive or cognitive-behavioral approach and interactive learning strategies. In detection, only two instruments were identified with optimum specificity and positive predictive value. In treatment, a variety of treatment strategies were identified with favorable effects on behavioral, functional and psycho affective indicators. The population relevance of these interventions is unclear, as the differential effectiveness of these therapeutic approaches. Conclusions. There are many child maltreatment prevention strategies at the individual and family level. The instruments used for detection are not reliable for use at the collective level. Insofar as therapy, not enough evidence was found both in quality and quantity to favor one intervention over another. It is recommended to understand the problem from the public health perspective and to generate multisectoral and interdisciplinary approaches.
van der Molen, Elsa; Blokland, Arjan A. J.; Hipwell, Alison E.; Vermeiren, Robert R.J.M.; Doreleijers, Theo A.H.; Loeber, Rolf
2014-01-01
Background It is widely recognized that early onset of disruptive behavior is linked to a variety of detrimental outcomes in males later in life. In contrast, little is known about the association between girls’ childhood trajectories of disruptive behavior and adjustment problems in early adolescence. Methods The current study used 9 waves of data from the ongoing Pittsburgh Girls Study. A semi-parametric group based model was used to identify trajectories of disruptive behavior in 1,513 girls from age 6 to 12 years. Adjustment problems were characterized by depression, self-harm, PTSD, substance use, interpersonal aggression, sexual behavior, affiliation with delinquent peers, and academic achievement at ages 13 and 14. Results Three trajectories of childhood disruptive behavior were identified: low, medium, and high. Girls in the high group were at increased risk for depression, self-harm, PTSD, illegal substance use, interpersonal aggression, early and risky sexual behavior, and lower academic achievement. The likelihood of multiple adjustment problems increased with trajectories reflecting higher levels of disruptive behavior. Conclusion Girls following the high childhood trajectory of disruptive behavior require early intervention programs to prevent multiple, adverse outcomes in adolescence and further escalation in adulthood. PMID:25302849
Missed, Misused, or Mismanaged: Improving Early Detection Systems to Optimize Child Outcomes
Macy, Marisa; Marks, Kevin; Towle, Alexander
2014-01-01
Early detection efforts have been shown to vary greatly in practice, and there is a general lack of systematic accountability built into monitoring early detection effort impact. This article reviews current early detection practices and the drawbacks of these practices, with particular attention given to prevalent issues of mismeasurement,…
Anomalous human behavior detection: An Adaptive approach
Leeuwen, C. van; Halma, A.; Schutte, K.
2013-01-01
Detection of anomalies (outliers or abnormal instances) is an important element in a range of applications such as fault, fraud, suspicious behavior detection and knowledge discovery. In this article we propose a new method for anomaly detection and performed tested its ability to detect anomalous
Direct detection of early-stage cancers using circulating tumor DNA
DEFF Research Database (Denmark)
Phallen, Jillian; Sausen, Mark; Adleff, Vilmos
2017-01-01
Early detection and intervention are likely to be the most effective means for reducing morbidity and mortality of human cancer. However, development of methods for noninvasive detection of early-stage tumors has remained a challenge. We have developed an approach called targeted error correction...
Hoover, Sarah D; Kubicek, Lorraine F; Rosenberg, Cordelia Robinson; Zundel, Claudia; Rosenberg, Steven A
2012-05-01
This article examines how the Colorado study Children With Social, Emotional and Behavioral Concerns and the Providers Who Support Them (S.D. Hoover, 2006) was used to advance a statewide agenda for early childhood mental health consultation in Colorado. The study involved a survey of licensed childcare providers throughout the state asking about the behavior of children in their care and their responses to that behavior. Exclusion of children from early care and education settings due to challenging behavior was found to be a significant problem taking a toll on families, children, and early care and education providers. Importantly, results from the survey indicated that the rate of exclusion of children from care due to challenging behavior was lower for family childcare providers who had access to mental health consultation. Recommendations are offered regarding the infrastructure needed to sustain mental health consultation capacity in early care and education settings, and related policies and practices. Copyright © 2012 Michigan Association for Infant Mental Health.
A Data Mining Classification Approach for Behavioral Malware Detection
Directory of Open Access Journals (Sweden)
Monire Norouzi
2016-01-01
Full Text Available Data mining techniques have numerous applications in malware detection. Classification method is one of the most popular data mining techniques. In this paper we present a data mining classification approach to detect malware behavior. We proposed different classification methods in order to detect malware based on the feature and behavior of each malware. A dynamic analysis method has been presented for identifying the malware features. A suggested program has been presented for converting a malware behavior executive history XML file to a suitable WEKA tool input. To illustrate the performance efficiency as well as training data and test, we apply the proposed approaches to a real case study data set using WEKA tool. The evaluation results demonstrated the availability of the proposed data mining approach. Also our proposed data mining approach is more efficient for detecting malware and behavioral classification of malware can be useful to detect malware in a behavioral antivirus.
Determinants of Cancer Early Detection Behaviors:Application of Protection Motivation Theory
Directory of Open Access Journals (Sweden)
Zohreh Rahaei
2015-07-01
Conclusion: Considering the scarceness of CED behaviors and the applicability of PMT in predicting these behaviors, utilization of the PMT‟s constructs in any interventional programs to accelerate CED behaviors could be an alternate methodological choice in the cancer control initiatives.
Early-life soy exposure and gender-role play behavior in children.
Adgent, Margaret A; Daniels, Julie L; Edwards, Lloyd J; Siega-Riz, Anna Maria; Rogan, Walter J
2011-12-01
Soy-based infant formula contains high levels of isoflavones. These estrogen-like compounds have been shown to induce changes in sexually dimorphic behaviors in animals exposed in early development. We examined gender-role play behavior in relation to soy-based and non-soy-based infant feeding methods among children in the Avon Longitudinal Study of Parents and Children. We studied 3,664 boys and 3,412 girls. Four exposure categories were created using data from questionnaires administered at 6 and 15 months postpartum: primarily breast, early formula (referent), early soy, and late soy. Gender-role play behavior was assessed using the Pre-School Activities Inventory (PSAI). Associations between infant feeding and PSAI scores at 42 months of age were assessed using linear regression. Post hoc analyses of PSAI scores at 30 and 57 months were also conducted. Early-infancy soy use was reported for approximately 2% of participants. Mean [95% confidence interval (CI)] PSAI scores at 42 months were 62.3 (62.0, 62.6) and 36.9 (36.6, 37.2) for boys and girls, respectively. After adjustment, early soy (vs. early formula) feeding was associated with higher (less feminine) PSAI scores in girls (β = 2.66; 95% CI: 0.19, 5.12) but was not significantly associated with PSAI scores in boys. The association between soy exposure and PSAI scores in girls was substantially attenuated at 30 and 57 months. Although not consistent throughout childhood, early-life soy exposure was associated with less female-typical play behavior in girls at 42 months of age. Soy exposure was not significantly associated with play behavior in boys.
Sensors and Instrumentation towards early detection of osteoporosis
Afsarimanesh, Nasrin; Mukhopadhyay, Subhas C; Kruger, Marlena; Yu, Pak-Lam; Kosel, Jü rgen
2016-01-01
A label-free non-invasive sensing system for detection of C-terminal telopeptide of type-I collagen (CTX-I) has been developed in order to detect bone loss at an early stage, by Electrochemical Impedance Spectroscopy (EIS). A planar interdigital
Directory of Open Access Journals (Sweden)
James C. Patterson
2011-01-01
Full Text Available The need for early detection of AD becomes critical as disease-modifying agents near the marketplace. Here, we present results from a study focused on improvement in detection of metabolic deficits related to neurodegenerative changes consistent with possible early AD with statistical evaluation of FDG-PET brain images. We followed 31 subjects at high risk or diagnosed with MCI/AD for 3 years. 15 met criteria for diagnosis of MCI, and five met criteria for AD. FDG-PET scans were completed at initiation and termination of the study. PET scans were read clinically and also evaluated objectively using Statistical Parametric Mapping (SPM. Using standard clinical evaluation of the FDG-PET scans, 11 subjects were detected, while 18 were detected using SPM evaluation. These preliminary results indicate that objective analyses may improve detection; however, early detection in at-risk normal subjects remains tentative. Several FDA-approved software packages are available that use objective analyses, thus the capacity exists for wider use of this method for MCI/AD.
Shaw, Daniel S; Gilliam, Mary
2017-01-01
Guided by a bridging model of pathways leading to low-income boys' early starting and persistent trajectories of antisocial behavior, the current article reviews evidence supporting the model from early childhood through early adulthood. Using primarily a cohort of 310 low-income boys of families recruited from Women, Infants, and Children Nutrition Supplement centers in a large metropolitan area followed from infancy to early adulthood and a smaller cohort of boys and girls followed through early childhood, we provide evidence supporting the critical role of parenting, maternal depression, and other proximal family risk factors in early childhood that are prospectively linked to trajectories of parent-reported conduct problems in early and middle childhood, youth-reported antisocial behavior during adolescence and early adulthood, and court-reported violent offending in adolescence. The findings are discussed in terms of the need to identify at-risk boys in early childhood and methods and platforms for engaging families in healthcare settings not previously used to implement preventive mental health services. © 2016 Michigan Association for Infant Mental Health.
Early concern and disregard for others as predictors of antisocial behavior
Rhee, Soo Hyun; Friedman, Naomi P.; Boeldt, Debra L.; Corley, Robin P.; Hewitt, John. K.; Knafo, Ariel; Lahey, Benjamin B.; Robinson, JoAnn; Van Hulle, Carol A.; Waldman, Irwin D.; Young, Susan E.; Zahn-Waxler, Carolyn
2012-01-01
Background Prediction of antisocial behavior is important given its adverse impact on both the individuals engaging in antisocial behavior and society. Additional research identifying early predictors of future antisocial behavior, or antisocial propensity, is needed. The present study tested the hypothesis that both concern for others and active disregard for others in distress in toddlers and young children predict antisocial behavior during middle childhood and adolescence. Methods A representative sample of same-sex twins (N = 956) recruited in Colorado was examined. Mother-rated and researcher-observed concern and disregard for others assessed at age 14 to 36 months were examined as predictors of parent- (age 4 to 12), teacher- (age 7 to 12), and self-reported (age 17) antisocial behavior. Results Observed disregard for others predicted antisocial behavior assessed by three different informants (parents, teachers, and self), including antisocial behavior assessed 14 years later. It also predicted a higher-order antisocial behavior factor (β = .58, p concern for others. Mother-rated disregard for others predicted parent-reported antisocial behavior. Contrary to predictions, neither mother-rated nor observed concern for others inversely predicted antisocial behavior. Results of twin analyses suggested that the covariation between observed disregard for others and antisocial behavior was due to shared environmental influences. Conclusions Disregard for others in toddlerhood/early childhood is a strong predictor of antisocial behavior in middle childhood and adolescence. The results suggest the potential need for early assessment of disregard for others and the development of potential interventions. PMID:23320806
Automated approach to detecting behavioral states using EEG-DABS
Directory of Open Access Journals (Sweden)
Zachary B. Loris
2017-07-01
Full Text Available Electrocorticographic (ECoG signals represent cortical electrical dipoles generated by synchronous local field potentials that result from simultaneous firing of neurons at distinct frequencies (brain waves. Since different brain waves correlate to different behavioral states, ECoG signals presents a novel strategy to detect complex behaviors. We developed a program, EEG Detection Analysis for Behavioral States (EEG-DABS that advances Fast Fourier Transforms through ECoG signals time series, separating it into (user defined frequency bands and normalizes them to reduce variability. EEG-DABS determines events if segments of an experimental ECoG record have significantly different power bands than a selected control pattern of EEG. Events are identified at every epoch and frequency band and then are displayed as output graphs by the program. Certain patterns of events correspond to specific behaviors. Once a predetermined pattern was selected for a behavioral state, EEG-DABS correctly identified the desired behavioral event. The selection of frequency band combinations for detection of the behavior affects accuracy of the method. All instances of certain behaviors, such as freezing, were correctly identified from the event patterns generated with EEG-DABS. Detecting behaviors is typically achieved by visually discerning unique animal phenotypes, a process that is time consuming, unreliable, and subjective. EEG-DABS removes variability by using defined parameters of EEG/ECoG for a desired behavior over chronic recordings. EEG-DABS presents a simple and automated approach to quantify different behavioral states from ECoG signals.
Difficulties in detecting behavioral symptoms of frontotemporal lobar degeneration across cultures.
Papatriantafyllou, John D; Viskontas, Indre V; Papageorgiou, Sokratis G; Miller, Bruce L; Pavlic, Danijela; Bingol, Ayse; Yener, Gorsev
2009-01-01
Cross-cultural studies of neurodegenerative disorders are especially important when the disease in question is difficult to diagnose, particularly if symptoms of the illness include behavioral disturbances that may be interpreted differently in different cultures. One such disease is frontotemporal lobar degeneration (FTLD), an early-age-of-onset dementia that disproportionately affects social behavior. We report the demographic and neuropsychologic characteristics of more than 300 patients diagnosed with FTLD in the United States, Greece, and Turkey. We find that patients with the frontal variant of frontotemporal dementia (FTD) are diagnosed at an earlier age and report earlier symptom onset in the United States than in Greece or Turkey. Furthermore, neuropsychologic measures indicate that at diagnosis, FTD patients in the United States are less impaired than patients in Greece and Turkey. Patients with FTD in Greece and Turkey are diagnosed later in the disease, presumably because their behavioral symptoms are not easily detected by the medical system in these countries. Our study underscores the need to create culturally appropriate indices of the behavioral symptoms of FTLD, so that patients may be diagnosed and treated at an earlier stage.
Malignant external otitis: early scintigraphic detection
International Nuclear Information System (INIS)
Strashun, A.M.; Nejatheim, M.; Goldsmith, S.J.
1984-01-01
Pseudomonas otitis externa in elderly diabetics may extend aggressively to adjacent bone, cranial nerves, meninges, and vessels, leading to a clinical diagnosis of ''malignant'' external otitis. Early diagnosis is necessary for successful treatment. This study compares the findings of initial radiographs, thin-section tomography of temporal bone, CT scans of head and neck, technetium-99m methylene diphosphonate (MDP) and gallium-67 citrate scintigraphy, and single-photon emission computed tomography (SPECT) for detection of temporal bone osteomylitis in ten patients fulfilling the clinical diagnostic criteria of malignant external otitis. Skull radiographs were negative in all of the eight patients studied. Thin-section tomography was positive in one of the seven patients studied using this modality. CT scanning suggested osteomyelitis in three of nine patients. Both Tc-99m and Ga-67 citrate scintigraphy were positive in 10 of 10 patients. These results suggest that technetium and gallium scintigraphy are more sensitive than radiographs and CT scans for early detection of malignant external otitis
Early detection of invasive plants: principles and practices
Welch, Bradley A.; Geissler, Paul H.; Latham, Penelope
2014-01-01
Invasive plants infest an estimated 2.6 million acres of the 83 million acres managed by the National Park Service (NPS) in the United States. The consequences of these invasions present a significant challenge for the NPS to manage the agency’s natural resources “unimpaired for the enjoyment of future generations.” More NPS lands are infested daily despite diligent efforts to curtail the problem. Impacts from invasive species have been realized in most parks, resulting in an expressed need to control existing infestations and restore affected ecosystems. There is a growing urgency in the NPS and other resource management organizations to be proactive. The NPS I&M Program, in collaboration with the U.S. Geological Survey (USGS) Status and Trends Program, compiled this document to provide guidance and insight to parks and other natural areas engaged in developing early-detection monitoring protocols for invasive plants. While several rapid response frameworks exist, there is no consistent or comprehensive guidance informing the active detection of nonnative plants early in the invasion process. Early-detection was selected as a primary focus for invasive-species monitoring because, along with rapid response, it is a key strategy for successful management of invasive species. Eradication efforts are most successful on small infestations (that is less than 1 hectare) and become less successful as infestation size increases, to the point that eradication is unlikely for large (that is greater than 1,000 hectares) populations of invasive plants. This document provides guidance for natural resource managers wishing to detect invasive plants early through an active, directed monitoring program. It has a Quick-Start Guide to direct readers to specific chapters and text relevant to their needs. Decision trees and flow charts assist the reader in deciding what methods to choose and when to use them. This document is written in a modular format to accommodate use of
Early concern and disregard for others as predictors of antisocial behavior.
Rhee, Soo Hyun; Friedman, Naomi P; Boeldt, Debra L; Corley, Robin P; Hewitt, John K; Knafo, Ariel; Lahey, Benjamin B; Robinson, JoAnn; Van Hulle, Carol A; Waldman, Irwin D; Young, Susan E; Zahn-Waxler, Carolyn
2013-02-01
Prediction of antisocial behavior is important, given its adverse impact on both the individuals engaging in antisocial behavior and society. Additional research identifying early predictors of future antisocial behavior, or antisocial propensity, is needed. The present study tested the hypothesis that both concern for others and active disregard for others in distress in toddlers and young children predict antisocial behavior during middle childhood and adolescence. A representative sample of same-sex twins (N=956) recruited in Colorado was examined. Mother-rated and researcher-observed concern and disregard for others assessed at age 14-36 months were examined as predictors of parent- (age 4-12), teacher- (age 7-12), and self-reported (age 17) antisocial behavior. Observed disregard for others predicted antisocial behavior assessed by three different informants (parents, teachers, and self), including antisocial behavior assessed 14 years later. It also predicted a higher order antisocial behavior factor (β=.58, pconcern for others. Mother-rated disregard for others predicted parent-reported antisocial behavior. Contrary to predictions, neither mother-rated nor observed concern for others inversely predicted antisocial behavior. RESULTS of twin analyses suggested that the covariation between observed disregard for others and antisocial behavior was due to shared environmental influences. Disregard for others in toddlerhood/early childhood is a strong predictor of antisocial behavior in middle childhood and adolescence. The results suggest the potential need for early assessment of disregard for others and the development of potential interventions. © 2012 The Author. Journal of Child Psychology and Psychiatry © 2012 Association for Child and Adolescent Mental Health.
Directory of Open Access Journals (Sweden)
Y. M. Tumanov
2010-03-01
Full Text Available The article offers the method of malicious JavaScript code detection, based on behavior analysis. Conceptions of program behavior, program state, an algorithm of malicious code detection are described.
International Nuclear Information System (INIS)
Farooq, W. A.; Tawfik, Walid; Rasool, K. G.; Aldawood, A. S.
2015-01-01
The Kingdom of Saudi Arabia is one of the leading date producing countries. Unfortunately, this important fruit crop is under great threat from the red palm weevil (RPW) (Rhynchophorus ferrugineus), which is a highly invasive pest. Several techniques, including visual inspection, acoustic sensors, sniffer dogs, and pheromone traps have been tried to detect the early stages of a RPW infestation; however, each method has suffered certain logistical and implementation issues. We have applied laser induced breakdown spectroscopy (LIBS) for the early detection of RPW infestation. Through the analysis of the observed LIBS spectra of different infested and healthy samples, we have found presence of Ca, Mg, Na, C, K elements and OH, CN molecules. The spectra also reveal that with the population growth of the pest, the intensity of Mg and Ca atomic lines in LIBS spectra increases rapidly. Similar behavior is observed in the molecular lines of LIBS spectra. The obtained results indicate that the LIBS technique can be used for the early detection of RPW infestation without damaging the date palms. (paper)
A. Farooq, W.; G. Rasool, K.; Walid, Tawfik; S. Aldawood, A.
2015-11-01
The Kingdom of Saudi Arabia is one of the leading date producing countries. Unfortunately, this important fruit crop is under great threat from the red palm weevil (RPW) (Rhynchophorus ferrugineus), which is a highly invasive pest. Several techniques, including visual inspection, acoustic sensors, sniffer dogs, and pheromone traps have been tried to detect the early stages of a RPW infestation; however, each method has suffered certain logistical and implementation issues. We have applied laser induced breakdown spectroscopy (LIBS) for the early detection of RPW infestation. Through the analysis of the observed LIBS spectra of different infested and healthy samples, we have found presence of Ca, Mg, Na, C, K elements and OH, CN molecules. The spectra also reveal that with the population growth of the pest, the intensity of Mg and Ca atomic lines in LIBS spectra increases rapidly. Similar behavior is observed in the molecular lines of LIBS spectra. The obtained results indicate that the LIBS technique can be used for the early detection of RPW infestation without damaging the date palms.
Zachrisson, Henrik D.; Dearing, Eric
2015-01-01
The sociopolitical context of Norway includes low poverty rates and universal access to subsidized and regulated Early Childhood Education and Care (ECEC). In this context, the association between family income dynamics and changes in early child behavior problems was investigated, as well as whether high-quality ECEC buffers children from the…
Developing Prosocial Behaviors in Early Adolescence with Reactive Aggression
Fung, Annis L. C.
2008-01-01
Despite the alarming rise of early adolescence aggression in Hong Kong, it is the pioneer evidence-based outcome study on Anger Coping Training (ACT) program for early adolescence with reactive aggression to develop their prosocial behaviors. This research program involved experimental and control groups with pre- and post-comparison using a …
Long-term follow-up of the TIPS early detection in psychosis study
DEFF Research Database (Denmark)
Simonsen, Erik; Hegelstad, Wenche ten Welden; Larsen, Tor Ketil
2012-01-01
ill patients dropping out of the study in the usual-detection area. Except for higher levels of excitative symptoms in the early-detection area, there were no symptom differences between the groups. Early-detection recovery rates were higher largely because of higher employment rates for patients...
SCREENING FOR EARLY DETECTION OF EATING DISORDERS
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Elisaveta Pavlova
2016-12-01
Full Text Available Background: Eating Disorders (EDs are characterized by a persistent disturbance of eating or eating-related behavior that significantly impairs physical health or psychosocial functioning. EDs are caused by a complex interaction of genetic, biological, behavioral, psychological, and social factors. Their epidemiology is rising for the past decades, and EDs affect all races, social levels and both genders. Due to the long and expensive treatment, chronic course, and the fact that most of the sufferers do not realize the need for therapy or do not seek treatment, the demand on developing prevention programs, early detection and assessment is essential. Despite the fact, that many new EDs screening tools were developed already, there is a great lack of validated screening instruments, adapted to the Bulgarian conditions. Objects and methods: Our study aimed at eliciting a comprehensive battery for screening of not only specific ED pathology, but also some risk factors, such as negative body image, weight and depressive symptoms. The object of our study consisted of 201 females, aged 18 to 45 (mean 24.65. SCOOF- questionnaire, Eating Disorder Diagnostic Scale (EDDS-5, Body Image Questionnaire-34 and Beck Depression Inventory (BDI were applied. Results: Our preliminary results show that approximately 45% of the tested subjects show some of the: negative body image, eating disorders’ clinical pathology, distorted eating patterns, subclinical eating disorders pathology, overweight/obesity, or depressive symptoms. Conclusion: Our ongoing efforts in area of research also are aimed at developing and refining strategies for preventing and treating ED among adolescents and adults.
Directory of Open Access Journals (Sweden)
Taubner Svenja
2013-01-01
Full Text Available The aim of the study was to examine whether mentalization serves as a protective factor against aggressive behavior in adolescence in the context of early traumatization. We present data from a non-clinical sample of adolescents from Germany (n=97 and calculate a mediation model to test the link between early traumatic experiences and aggressive behavior with mentalizing skills as a mediator. Mentalization was assessed with the Reflective Functioning Scale on the Adult-Attachment-Interview and aggressive behavior was measured with the Reactive-Proactive-Aggression-Questionnaire. Traumatic experience was operationalized as physical and/or sexual abuse as reported in the Childhood Experience of Care and Abuse Questionnaire. Results show a complete mediation for Reflective Functioning on the relationship between early abuse and aggressive behavior. Thus, the findings of the study support an understanding of mentalizing as a protective factor for the relationship between early abusive experience and the development of aggressive behavior. Clinical implications are discussed.
Molina-Jiménez, Tania; Limón-Morales, Ofelia; Bonilla-Jaime, Herlinda
2018-03-01
Administration of clomipramine (CMI), a tricyclic antidepressant, in early stages of development in rats, is considered an animal model for the study of depression. This pharmacological manipulation has induced behavioral and physiological alterations, i.e., less pleasure-seeking behaviors, despair, hyperactivity, cognitive dysfunction, alterations in neurotransmitter systems and in HPA axis. These abnormalities in adult male rats are similar to the symptoms observed in major depressive disorders. One of the main pleasure-seeking behaviors affected in male rats treated with CMI is sexual behavior. However, to date, no effects of early postnatal CMI treatment have been reported on female reproductive cyclicity and sexual behavior. Therefore, we explored CMI administration in early life (8-21 PN) on the estrous cycle and sexual behavior of adult female rats. Compared to the rats in the early postnatal saline treatment (CTRL group), the CMI rats had fewer estrous cycles, fewer days in the estrous stage, and longer cycles during a 20-day period of vaginal cytology analysis. On the behavioral test, the CMI rats displayed fewer proceptive behaviors (hopping, darting) and had lower lordosis quotients. Also, they usually failed to display lordosis and only rarely manifested marginal or normal lordosis. In contrast, the CTRL rats tended to display normal lordosis. These results suggest that early postnatal CMI treatment caused long-term disruptions of the estrous cycle and female sexual behavior, perhaps by alteration in the hypothalamic-pituitary-gonadal (HPG) axes and in neuronal circuits involved in the regulation of the performance and motivational of sexual behavior as the noradrenergic and serotonergic systems. Copyright © 2018 Elsevier Inc. All rights reserved.
Efficiently detecting outlying behavior in video-game players.
Kim, Young Bin; Kang, Shin Jin; Lee, Sang Hyeok; Jung, Jang Young; Kam, Hyeong Ryeol; Lee, Jung; Kim, Young Sun; Lee, Joonsoo; Kim, Chang Hun
2015-01-01
In this paper, we propose a method for automatically detecting the times during which game players exhibit specific behavior, such as when players commonly show excitement, concentration, immersion, and surprise. The proposed method detects such outlying behavior based on the game players' characteristics. These characteristics are captured non-invasively in a general game environment. In this paper, cameras were used to analyze observed data such as facial expressions and player movements. Moreover, multimodal data from the game players (i.e., data regarding adjustments to the volume and the use of the keyboard and mouse) was used to analyze high-dimensional game-player data. A support vector machine was used to efficiently detect outlying behaviors. We verified the effectiveness of the proposed method using games from several genres. The recall rate of the outlying behavior pre-identified by industry experts was approximately 70%. The proposed method can also be used for feedback analysis of various interactive content provided in PC environments.
Efficiently detecting outlying behavior in video-game players
Directory of Open Access Journals (Sweden)
Young Bin Kim
2015-12-01
Full Text Available In this paper, we propose a method for automatically detecting the times during which game players exhibit specific behavior, such as when players commonly show excitement, concentration, immersion, and surprise. The proposed method detects such outlying behavior based on the game players’ characteristics. These characteristics are captured non-invasively in a general game environment. In this paper, cameras were used to analyze observed data such as facial expressions and player movements. Moreover, multimodal data from the game players (i.e., data regarding adjustments to the volume and the use of the keyboard and mouse was used to analyze high-dimensional game-player data. A support vector machine was used to efficiently detect outlying behaviors. We verified the effectiveness of the proposed method using games from several genres. The recall rate of the outlying behavior pre-identified by industry experts was approximately 70%. The proposed method can also be used for feedback analysis of various interactive content provided in PC environments.
Colorectal Cancer: The Importance of Early Detection
... of this page please turn JavaScript on. Feature: Colorectal Cancer The Importance of Early Detection Past Issues / Summer ... Cancer of the colon or rectum is called colorectal cancer. The colon and the rectum are part of ...
Kick Detection at the Bit: Early Detection via Low Cost Monitoring
Energy Technology Data Exchange (ETDEWEB)
Tost, Brian [National Energy Technology Lab. (NETL), Albany, OR (United States). Oak Ridge Inst. for Science and Education (ORISE); Rose, Kelly [National Energy Technology Lab. (NETL), Albany, OR (United States); Aminzadeh, Fred [Univ. of Southern California, Los Angeles, CA (United States). Dept. of Petroleum Engineering; Ante, Magdalene A. [Univ. of Southern California, Los Angeles, CA (United States). Dept. of Petroleum Engineering; Huerta, Nicolas [National Energy Technology Lab. (NETL), Albany, OR (United States)
2016-06-07
Formation fluid influxes (i.e. kicks) pose persistent challenges and operational costs during drilling operations. Implications of kicks range in scale but cumulatively result in substantial costs that affect drilling safety, environment, schedule, and infrastructure. Early kick detection presents a low-cost, easily adopted solution for avoiding well control challenges associated with kicks near the bit. Borehole geophysical tools used during the drilling process as part of the logging-while-drilling (LWD) and measurement-while-drilling (MWD) provide the advantage of offering real-time downhole data. LWD/MWD collect data on both the annulus and borehole wall. The annular data are normally treated as background, and are filtered out to isolate the formation measurements. Because kicks will change the local physical properties of annular fluids, bottom-hole measurements are among the first indicators that a formation fluid has invaded the wellbore. This report describes and validates a technique for using the annular portion of LWD/MWD data to facilitate early kick detection using first order principles. The detection technique leverages data from standard and cost-effective technologies that are typically implemented during well drilling, such as MWD/LWD data in combination with mud-pulse telemetry for data transmission.
Koo, Helen P.; Rose, Allison; Bhaskar, Brinda; Walker, Leslie R.
2012-01-01
Using a school-based sample of fifth graders (mean age = 10.38, SD = 0.66) and their parents (N = 408) from Washington, D.C., the authors examine associations of pubertal development with early adolescents' sexual and nonsexual risk behaviors and their caregivers' parenting behaviors and of these risk behaviors with parenting behaviors. Results…
Poehlmann, Julie; Burnson, Cynthia; Weymouth, Lindsay A
2014-01-01
Through assessment of 173 preterm infants and their mothers at hospital discharge and at 9, 16, 24, 36, and 72 months, the study examined early parenting, attachment security, effortful control, and children's representations of family relationships in relation to subsequent externalizing behavior problems. Less intrusive early parenting predicted more secure attachment, better effortful control skills, and fewer early behavior problems, although it did not directly relate to the structural or content characteristics of children's represented family relationships. Children with higher effortful control scores at 24 months had more coherent family representations at 36 months. Moreover, children who exhibited less avoidance in their family representations at 36 months had fewer mother-reported externalizing behavior problems at 72 months. The study suggests that early parenting quality and avoidance in children's represented relationships are important for the development of externalizing behavior problems in children born preterm.
Are behavioral effects of early experience mediated by oxytocin?
Directory of Open Access Journals (Sweden)
Karen Lisa Bales
2011-05-01
Full Text Available Early experiences can alter adaptive emotional responses necessary for social behavior as well as physiological reactivity in the face of challenge. In the highly social prairie vole (Microtus ochrogaster, manipulations in early life or hormonal treatments specifically targeted at the neuropeptides oxytocin (OT and arginine vasopressin (AVP, have long-lasting, often sexually-dimorphic, consequences for social behavior. Here we examine the hypothesis that behavioral changes associated with differential early experience, in this case handling the family during the first week of life, may be mediated by changes in OT or AVP or their brain receptors. Four early treatment groups were used, differing only in the amount of manipulation received during the first week of life. MAN1 animals were handled once on post-natal day 1; MAN1 treatment produces a pattern of behavior usually considered typical of this species, against which other groups were compared. MAN 1-7 animals were handled once a day for post-natal days 1-7, MAN 7 animals were handled once on post-natal day 7, and MAN0 animals received no handling during the first week of life. When tested following weaning, males in groups that had received manipulation during the first few days of life (MAN1 and MAN1-7 displayed higher alloparenting than other groups. Neuroendocrine measures, including OT receptor binding and OT and AVP immunoreactivity, varied by early treatment. In brain areas including the nucleus accumbens, bed nucleus of stria terminalis and lateral septum, MAN0 females showed increased OT receptor binding. MAN1 animals also displayed higher numbers of immunoreactive OT cell bodies in the supraoptic nucleus. Taken together these findings support the broader hypothesis that experiences in the first few days of life, mediated in part by sexually-dimorphic changes in neuropeptides, especially in the receptor for OT, may have adaptive consequences for sociality and emotion regulation.
Van Nuffel, Annelies; Zwertvaegher, Ingrid; Van Weyenberg, Stephanie; Pastell, Matti; Thorup, Vivi M.; Bahr, Claudia; Sonck, Bart; Saeys, Wouter
2015-01-01
Simple Summary As lame cows produce less milk and tendto have other health problems, finding and treating lame cows is very importantfor farmers. Sensors that measure behaviors associated with lameness in cowscan help by alerting the farmer of those cows in need of treatment. This reviewgives an overview of sensors for automated lameness detection and discussessome practical considerations for investigating and applying such systems inpractice. Abstract Despite the research on opportunities toautomatically measure lameness in cattle, lameness detection systems are notwidely available commercially and are only used on a few dairy farms. However, farmers need to be aware of the lame cows in their herds in order treat themproperly and in a timely fashion. Many papers have focused on the automatedmeasurement of gait or behavioral cow characteristics related to lameness. Inorder for such automated measurements to be used in a detection system, algorithms to distinguish between non-lame and mildly or severely lame cowsneed to be developed and validated. Few studies have reached this latter stageof the development process. Also, comparison between the different approachesis impeded by the wide range of practical settings used to measure the gait or behavioralcharacteristic (e.g., measurements during normal farming routine or duringexperiments; cows guided or walking at their own speed) and by the differentdefinitions of lame cows. In the majority of the publications, mildly lame cowsare included in the non-lame cow group, which limits the possibility of alsodetecting early lameness cases. In this review, studies that used sensortechnology to measure changes in gait or behavior of cows related to lamenessare discussed together with practical considerations when conducting lamenessresearch. In addition, other prerequisites for any lameness detection system onfarms (e.g., need for early detection, real-time measurements) are discussed. PMID:26479390
O'Connor, Erin E; Collins, Brian A; Supplee, Lauren
2012-01-01
The purposes of the current study were: (1) to examine the roles of early maternal attachment relationships and teacher-child relationships during childhood for externalizing and internalizing behaviors in late childhood, and (2) to investigate teacher-child relationships, as well as externalizing and internalizing behaviors in early childhood as possible mechanisms linking early maternal attachment relationships to behavior problems in late childhood. Longitudinal data from the National Institute of Child Health and Human Development Early Child Care Research Network Study of Early Child Care and Youth Development (N = 1140 mothers and children) were used in this investigation. There were three main findings. First, insecure/other maternal attachment relationships in early childhood (i.e., 36 months) were associated with externalizing and internalizing behaviors in late childhood (Grade 5). Second, elevated levels of teacher-child conflict during childhood were associated with externalizing behaviors in late childhood whereas low levels of teacher-child closeness were associated with internalizing behaviors. Third, the effects of insecure/other attachment on externalizing and internalizing behaviors in late childhood were mediated through teacher-child relationships during childhood and early externalizing and internalizing behaviors. Implications for attachment theory are discussed.
Kerr, David C. R.; Leve, Leslie D.; Harold, Gordon T.; Natsuaki, Misaki; Neiderhiser, Jenae M.; Shaw, Daniel S.; Reiss, David
2013-01-01
Research clearly demonstrates that parents pass risk for depression and antisocial behavior on to their children. However, most research confounds genetic and environmental mechanisms by studying genetically related individuals. Furthermore, most studies focus on either depression or antisocial behavior in parents or children, despite evidence of co-occurrence and shared etiology, and few consider the early origins of these problems in childhood. We estimated the influence of biological and adoptive mothers’ depression and antisocial behavior on growth in child externalizing and internalizing behaviors across early childhood using data from a prospective adoption study. Participants were 346 matched triads of physically healthy children (196 boys; 150 girls), biological mothers (BM), and adoptive mothers (AM). Latent growth curve models were estimated using AM reports of child internalizing and externalizing behaviors at ages 18, 27, and 54 months. Predictors of intercept (18 months) but not slope were identified. BM lifetime histories of major depressive disorder predicted child externalizing behaviors and BM antisocial behavior predicted child internalizing behavior. AM depressive symptoms and antisocial behavior were associated with both child outcomes. AM paths, but not BM paths were partially replicated using adopted fathers’ reports of child outcomes. BM obstetric complications, prenatal depressive symptoms, and postnatal adoptive family contact with BM did not account for BM paths. This adoption study distinguished risks conferred by biological mothers’ depression and antisocial behavior to children’s behaviors from those associated with adoptive mothers’ related symptoms. Future studies should examine gene-environment interplay to explain the emergence of serious problem trajectories in later childhood. PMID:23408036
Kerr, David C R; Leve, Leslie D; Harold, Gordon T; Natsuaki, Misaki N; Neiderhiser, Jenae M; Shaw, Daniel S; Reiss, David
2013-07-01
Research clearly demonstrates that parents pass risk for depression and antisocial behavior on to their children. However, most research confounds genetic and environmental mechanisms by studying genetically related individuals. Furthermore, most studies focus on either depression or antisocial behavior in parents or children, despite evidence of co-occurrence and shared etiology, and few consider the early origins of these problems in childhood. We estimated the influence of biological and adoptive mothers' depression and antisocial behavior on growth in child externalizing and internalizing behaviors across early childhood using data from a prospective adoption study. Participants were 346 matched triads of physically healthy children (196 boys; 150 girls), biological mothers (BM), and adoptive mothers (AM). Latent growth curve models were estimated using AM reports of child internalizing and externalizing behaviors at ages 18, 27, and 54 months. Predictors of intercept (18 months) but not slope were identified. BM lifetime histories of major depressive disorder predicted child externalizing behaviors and BM antisocial behavior predicted child internalizing behavior. AM depressive symptoms and antisocial behavior were associated with both child outcomes. AM paths, but not BM paths were partially replicated using adopted fathers' reports of child outcomes. BM obstetric complications, prenatal depressive symptoms, and postnatal adoptive family contact with BM did not account for BM paths. This adoption study distinguished risks conferred by biological mothers' depression and antisocial behavior to children's behaviors from those associated with adoptive mothers' related symptoms. Future studies should examine gene-environment interplay to explain the emergence of serious problem trajectories in later childhood.
77 FR 66469 - Breast and Cervical Cancer Early Detection and Control Advisory Committee (BCCEDCAC)
2012-11-05
... Cervical Cancer Early Detection and Control Advisory Committee (BCCEDCAC) In accordance with section 10(a..., and the Director, CDC, regarding the early detection and control of breast and cervical cancer. The... National Breast and Cervical Cancer Early Detection Program; presentations on outcomes of Care Coordination...
Early adversity and learning: implications for typical and atypical behavioral development.
Hanson, Jamie L; van den Bos, Wouter; Roeber, Barbara J; Rudolph, Karen D; Davidson, Richard J; Pollak, Seth D
2017-07-01
Children who experience early adversity often develop emotion regulatory problems, but little is known about the mechanisms that mediate this relation. We tested whether general associative learning processes contribute to associations between adversity, in the form of child maltreatment, and negative behavioral outcomes. Eighty-one participants between 12 and 17 years of age were recruited for this study and completed a probabilistic learning Task. Forty-one of these participants had been exposed to physical abuse, a form of early adversity. Forty additional participants without any known history of maltreatment served as a comparison group. All participants (and their parents) also completed portions of the Youth Life Stress Interview to understand adolescent's behavior. We calculated measures of associative learning, and also constructed mathematical models of learning. We found that adolescents exposed to high levels of adversity early in their lives had lower levels of associative learning than comparison adolescents. In addition, we found that impaired associative learning partially explained the higher levels of behavioral problems among youth who suffered early adversity. Using mathematical models, we also found that two components of learning were specifically affected in children exposed to adversity: choice variability and biases in their beliefs about the likelihood of rewards in the environment. Participants who had been exposed to early adversity were less able than their peers to correctly learn which stimuli were likely to result in reward, even after repeated feedback. These individuals also used information about known rewards in their environments less often. In addition, individuals exposed to adversity made decisions early in the learning process as if rewards were less consistent and occurred more at random. These data suggest one mechanism through which early life experience shapes behavioral development. © 2017 Association for Child and
Detection Model for Seepage Behavior of Earth Dams Based on Data Mining
Directory of Open Access Journals (Sweden)
Zhenxiang Jiang
2018-01-01
Full Text Available Seepage behavior detecting is an important tool for ensuring the safety of earth dams. However, traditional seepage behavior detection methods have used insufficient monitoring data and have mainly focused on single-point measures and local seepage behavior. The seepage behavior of dams is not quantitatively detected based on the monitoring data with multiple measuring points. Therefore, this study uses data mining techniques to analyze the monitoring data and overcome the above-mentioned shortcomings. The massive seepage monitoring data with multiple points are used as the research object. The key information on seepage behavior is extracted using principal component analysis. The correlation between seepage behavior and upstream water level is described as mutual information. A detection model for overall seepage behavior is established. Result shows that the model can completely extract the seepage monitoring data with multiple points and quantitatively detect the overall seepage behavior of earth dams. The proposed method can provide a new and reasonable means of quantitatively detecting the overall seepage behavior of earth dams.
Wakschlag, Lauren S; Perlman, Susan B; Blair, R James; Leibenluft, Ellen; Briggs-Gowan, Margaret J; Pine, Daniel S
2018-02-01
The arrival of the Journal's 175th anniversary occurs at a time of recent advances in research, providing an ideal opportunity to present a neurodevelopmental roadmap for understanding, preventing, and treating psychiatric disorders. Such a roadmap is particularly relevant for early-childhood-onset neurodevelopmental conditions, which emerge when experience-dependent neuroplasticity is at its peak. Employing a novel developmental specification approach, this review places recent neurodevelopmental research on early childhood disruptive behavior within the historical context of the Journal. The authors highlight irritability and callous behavior as two core exemplars of early disruptive behavior. Both phenotypes can be reliably differentiated from normative variation as early as the first years of life. Both link to discrete pathophysiology: irritability with disruptions in prefrontal regulation of emotion, and callous behavior with abnormal fear processing. Each phenotype also possesses clinical and predictive utility. Based on a nomologic net of evidence, the authors conclude that early disruptive behavior is neurodevelopmental in nature and should be reclassified as an early-childhood-onset neurodevelopmental condition in DSM-5. Rapid translation from neurodevelopmental discovery to clinical application has transformative potential for psychiatric approaches of the millennium. [AJP at 175: Remembering Our Past As We Envision Our Future November 1938: Electroencephalographic Analyses of Behavior Problem Children Herbert Jasper and colleagues found that brain abnormalities revealed by EEG are a potential causal factor in childhood behavioral disorders. (Am J Psychiatry 1938; 95:641-658 )].
Roskam, Isabelle
2018-03-22
The aim of the current research was to disentangle four theoretically sound models of externalizing behavior etiology (i.e., attachment, language, inhibition, and parenting) by testing their relation with behavioral trajectories from early childhood to adolescence. The aim was achieved through a 10-year prospective longitudinal study conducted over five waves with 111 referred children aged 3 to 5 years at the onset of the study. Clinical referral was primarily based on externalizing behavior. A multimethod (questionnaires, testing, and observations) approach was used to estimate the four predictors in early childhood. In line with previous studies, the results show a significant decrease of externalizing behavior from early childhood to adolescence. The decline was negatively related to mothers' coercive parenting and positively related to attachment security in early childhood, but not related to inhibition and language. The study has implications for research into externalizing behavior etiology recommending to gather hypotheses from various theoretically sound models to put them into competition with one another. The study also has implications for clinical practice by providing clear indications for prevention and early intervention.
Nanotechnology-Based Detection of Novel microRNAs for Early Diagnosis of Prostate Cancer
2017-08-01
AWARD NUMBER: W81XWH-15-1-0157 TITLE: Nanotechnology -Based Detection of Novel microRNAs for Early Diagnosis of Prostate Cancer PRINCIPAL...TITLE AND SUBTITLE Nanotechnology -Based Detection of Novel microRNAs for Early Diagnosis of Prostate Cancer 5a. CONTRACT NUMBER 5b. GRANT NUMBER...identify novel differentially expressed miRNAs in the body fluids (blood, urine, etc.) for an early detection of PCa. Advances in nanotechnology and
Early tumour detection: a transillumination, time-resolved technique
International Nuclear Information System (INIS)
Behin-Ain, S.; Van Doorn, T.; Patterson, J.
2000-01-01
Full text: Research into transillumination techniques for the detection of tumours in soft tissue has been ongoing for over 70 years. The resolution and contrast, however, remain severely limited by scatter. Single photon detection techniques, with ideally infinite extinction coefficients, have been proposed to accumulate sub-hertz photon transmitted frequencies in the early part of a transmitted pulse. Computer based simulations have been undertaken to examine the theoretical performance requirements of the detector and the resultant image qualities that may be expected with this imaging technique. This paper reports on the computational techniques required for implementing these simulations in an efficient manner. Controlled Monte Carlo (CMC) and Convolution of Layers (CL) techniques were employed to constrain the photon to those having more chance of detection and hence enhance the detection statistics. Extrapolation techniques are proposed to reconstruct the early part of the temporal profile. Computational methods were implemented to evaluate Path Integrals, which are otherwise overly complex to evaluate. CMC and CL reduce the computational time by more than 10 orders of magnitude by only tracking those photons more likely to reach the detector. In the case of an optically thick medium with high scattering coefficient, extrapolation techniques are used to reconstruct the early part of temporal profile. Analytical solutions were found to be too involved for the simplest geometries. However the CL and implementation of computational techniques make Path integrals a useful analytical tool to compliment full Monte Carlo techniques. Results have shown that these methods collectively enable detection of small inhomogeneites within soft tissues. Reduced computation times and full reconstruction of the temporal profile of transmitted photons through optically thick medium enable fast simulations of single photon detectors to be achieved with the above described
Detection of early caries by laser-induced breakdown spectroscopy
Sasazawa, Shuhei; Kakino, Satoko; Matsuura, Yuji
2015-07-01
To improve sensitivity of dental caries detection by laser-induced breakdown spectroscopy (LIBS) analysis, it is proposed to utilize emission peaks in the ultraviolet. We newly focused on zinc whose emission peaks exist in ultraviolet because zinc exists at high concentration in the outer layer of enamel. It was shown that by using ratios between heights of an emission peak of Zn and that of Ca, the detection sensitivity and stability are largely improved. It was also shown that early caries are differentiated from healthy part by properly setting a threshold in the detected ratios. The proposed caries detection system can be applied to dental laser systems such as ones based on Er:YAG-lasers. When ablating early caries part by laser light, the system notices the dentist that the ablation of caries part is finished. We also show the intensity of emission peaks of zinc decreased with ablation with Er:YAG laser light.
Lipscomb, Shannon T; Laurent, Heidemarie; Neiderhiser, Jenae M; Shaw, Daniel S; Natsuaki, Misaki N; Reiss, David; Leve, Leslie D
2014-01-01
The current study examined interactions among genetic influences and children's early environments on the development of externalizing behaviors from 18 months to 6 years of age. Participants included 233 families linked through adoption (birth parents and adoptive families). Genetic influences were assessed by birth parent temperamental regulation. Early environments included both family (overreactive parenting) and out-of-home factors (center-based Early Care and Education; ECE). Overreactive parenting predicted more child externalizing behaviors. Attending center-based ECE was associated with increasing externalizing behaviors only for children with genetic liability for dysregulation. Additionally, children who were at risk for externalizing behaviors due to both genetic variability and exposure to center-based ECE were more sensitive to the effects of overreactive parenting on externalizing behavior than other children.
Annual meeting on nuclear technology 1980. Technical meeting: Early detection methods
International Nuclear Information System (INIS)
1980-01-01
The practical methods refer to the neutron noise analysis of BWR-type reactors, the development and implementation of an early detection system for BWR-type reactors and the possibilities of the noise analysis in natrium-cooled fast breeder reactors. The mathematical methods are concerned with the stochastic analysis, high-frequency acoustic monitoring and early detection of damage in PWR-type reactors. (DG) [de
A Forest Early Fire Detection Algorithm Based on Wireless Sensor Networks
Directory of Open Access Journals (Sweden)
CHENG Qiang
2014-03-01
Full Text Available Wireless Sensor Networks (WSN adopt GHz as their communication carrier, and it has been found that GHz carrier attenuation model in transmission path is associated with vegetation water content. In this paper, based on RSSI mechanism of WSN nodes we formed vegetation dehydration sensors. Through relationships between vegetation water content and carrier attenuation, we perceived forest vegetation water content variations and early fire gestation process, and established algorithms of early forest fires detection. Experiments confirm that wireless sensor networks can accurately perceive vegetation dehydration events and forest fire events. Simulation results show that, WSN dehydration perception channel (P2P representing 75 % amounts of carrier channel or more, it can meet the detection requirements, which presented a new algorithm of early forest fire detection.
Bouma, Henri; Baan, Jan; Burghouts, Gertjan J.; Eendebak, Pieter T.; van Huis, Jasper R.; Dijk, Judith; van Rest, Jeroen H. C.
2014-10-01
Proactive detection of incidents is required to decrease the cost of security incidents. This paper focusses on the automatic early detection of suspicious behavior of pickpockets with track-based features in a crowded shopping mall. Our method consists of several steps: pedestrian tracking, feature computation and pickpocket recognition. This is challenging because the environment is crowded, people move freely through areas which cannot be covered by a single camera, because the actual snatch is a subtle action, and because collaboration is complex social behavior. We carried out an experiment with more than 20 validated pickpocket incidents. We used a top-down approach to translate expert knowledge in features and rules, and a bottom-up approach to learn discriminating patterns with a classifier. The classifier was used to separate the pickpockets from normal passers-by who are shopping in the mall. We performed a cross validation to train and evaluate our system. In this paper, we describe our method, identify the most valuable features, and analyze the results that were obtained in the experiment. We estimate the quality of these features and the performance of automatic detection of (collaborating) pickpockets. The results show that many of the pickpockets can be detected at a low false alarm rate.
Behavioral and cognitive impact of early life stress: Insights from an animal model.
Liu, Hesong; Atrooz, Fatin; Salvi, Ankita; Salim, Samina
2017-08-01
Children subjected to traumatic events during childhood are reported to exhibit behavioral and cognitive deficits later in life, often leading to post-traumatic stress disorder (PTSD) and major depression. Interestingly, some children continue to remain normal despite being exposed to the same risk factors. These trauma-related behavioral and cognitive profiles across different stages of life are not well understood. Animal studies can offer useful insights. The goal of this study was to determine the impact of early life exposure to traumatic events on behavioral and cognitive profile in rats by tracking the behavior of each rat at different ages. We utilized the single prolonged stress (SPS), a rodent model of PTSD, to study the effects of early life stress. Male Sprague-Dawley rats were exposed to SPS on post-natal day (PND) 25. Tests to assess anxiety- and depression-like behavior, as well as learning and memory function were performed at PND32, 60 and 90. Rats exposed to SPS exhibited both anxiety- and depression-like behavior at PND32. And, short-term (STM) but not long-term memory (LTM) was impaired. Rats exposed to SPS at PND60 exhibited anxiety- but not depression-like behavior. STM but not LTM was impaired. Rats exposed to SPS at PND90 exhibited fearful (as indicated by elevated plus maze test) but not an overall anxiety-like behavior (in light and dark test). These rats also displayed significant depression-like behavior with no changes in STM or LTM. Interestingly, when data was further analyzed, two subsets of PND90 rats exposed to SPS were identified, "susceptible": with depression-like behavior and "resilient": without depression-like behavior. Importantly, while resilient group expressed early signs of anxiety- (at PND32 and PND60) and depression-like behavior (at PND32), these behavioral deficits were absent at PND90. On the other hand, susceptible PND90 rats exposed to SPS expressed later onset of anxiety-like behavior (at PND60), while depression
COMPARATIVE STUDY ON SPECIFIC AND EARLY DETECTION ...
African Journals Online (AJOL)
The objective of this study was to compare the sensitivity and specificity of smear and culture methods with rapid serological EIA myco kits manufactured by Omega diagnostics, for the early detection of Mycobacterium tuberculosis (MTB) complex. Sera from various categories of smear and culture results were compared ...
[Early detection of occupational skin diseases in sewer workers].
Lang, V; Lauffer, F; Fincan, Y; Biedermann, T; Zink, A
2018-04-25
Skin diseases affect 30-70% of the world population, and globally, skin cancer rates are continuously increasing. In this respect, prevention programs and early detection of skin diseases are of particular importance. To screen sewer workers for skin diseases with regard to their work-related risk. Employees of the municipal utilities in Munich (Münchner Stadtentwässerung) underwent a whole-body examination of the skin, conducted by two dermatologists. In addition, all employees completed a paper-based questionnaire on risk behavior and preventive measures. We examined 81 employees (79 men, 2 women, mean age 45.7 ± 9.5 years). Skin lesions in need of treatment were found in 30.9% (n = 25): the most frequent diagnosis was mycosis pedis (16.1%). In addition, one employee was diagnosed with basal cell carcinoma and two with actinic keratoses. According to the questionnaire, 43.5% of the employees had undergone a physician-led skin cancer screening in the past, whereas sun-protection practices were rarely applied. According to our findings, employee skin cancer screening seems to be beneficial for the detection of work-related skin diseases and is associated with a high participation rate. Furthermore, the study suggests that sewer workers have a high rate of mycosis pedis, possibly a work-related effect.
Chan, Yi-Tung; Wang, Shuenn-Jyi; Tsai, Chung-Hsien
2017-09-01
Public safety is a matter of national security and people's livelihoods. In recent years, intelligent video-surveillance systems have become important active-protection systems. A surveillance system that provides early detection and threat assessment could protect people from crowd-related disasters and ensure public safety. Image processing is commonly used to extract features, e.g., people, from a surveillance video. However, little research has been conducted on the relationship between foreground detection and feature extraction. Most current video-surveillance research has been developed for restricted environments, in which the extracted features are limited by having information from a single foreground; they do not effectively represent the diversity of crowd behavior. This paper presents a general framework based on extracting ensemble features from the foreground of a surveillance video to analyze a crowd. The proposed method can flexibly integrate different foreground-detection technologies to adapt to various monitored environments. Furthermore, the extractable representative features depend on the heterogeneous foreground data. Finally, a classification algorithm is applied to these features to automatically model crowd behavior and distinguish an abnormal event from normal patterns. The experimental results demonstrate that the proposed method's performance is both comparable to that of state-of-the-art methods and satisfies the requirements of real-time applications.
Single Mothers' Religious Participation and Early Childhood Behavior
Petts, Richard J.
2012-01-01
Using data on 1,134 single mothers from the Fragile Families and Child Wellbeing Study, this study examined trajectories of religious participation among single mothers and whether these trajectories were associated with early childhood behavior. The results suggested that single mothers experienced diverse patterns of religious participation…
International Nuclear Information System (INIS)
Corbella, F.; Rivas, Carlos; Dragonetti, Laura; Eyheremendy, Eduardo; Calo, Claudia
2009-01-01
Primary haemochromatosis is the most common genetic disease of the West (1 in 300 to 400 people). Cardiac involvement during its early stages is not detected by imaging techniques.During this period potentially lethal arrhythmias can occur. Using cardiac magnetic resonance (CMR) with T2 star sequence it is possible an early detection of cardiac involvement as well as a risk stratification and a monitoring the progress of the therapy. [es
Factors Associated with South Korean Early Childhood Educators' Observed Behavior Support Strategies
Kim, Yeon Ha; Stormont, Melissa
2012-01-01
This study was an exploratory study of 34 South Korean early childhood educators' strategies for addressing behavior problems in natural settings. Factors related to teachers' strategy implementation were also explored. Four specific teacher behaviors were observed: precorrection, behavioral-specific praise, redirection, and reprimand/punishment.…
'RIG'- surgical gamma probe for early breast cancer detection
International Nuclear Information System (INIS)
Walinjkar, P.B.; Singh, Gursharan; Kumar, Umesh; Pendharkar, A.S.; Choudhary, P.S.
2004-01-01
Breast cancer is one of the most common cancers in women, which if detected in early stage can be effectively treated and cured. Early detection is carried out by collecting a sentinel lymph node (SLN) and testing it for cancer. The surgical gamma probe is a hand-held device used in the localization of SLN. It enables the localization of the active node. Isotope Applications Division, BARC has developed indigenously a RIG Surgical Gamma Probe in consultation with the doctors from Rajiv Gandhi Cancer Institute and Research Centre, New Delhi. The system consists of microcomputer-based gamma counting system that displays the number of pulses detected by the probe in counts per second and has an audible signal in direct correlation with the count density. The detector probe is based on the scintillation detector housed in a stainless steel housing with lead collimator. The physical parameters are a high sensitivity of 5000 cps/MBq at probe tip with good spatial resolution. The performance of this probe was clinically evaluated on the basis of spatial resolution and accuracy to detect the active node. (author)
Myers, Sonya S; Pianta, Robert C
2008-07-01
Understanding factors associated with children's early behavioral difficulties is of vital importance to children's school success, and to the prevention of future behavior problems. Although biological factors can influence the expression of certain behaviors, the probability of children exhibiting classroom behavior problems is intensified when they are exposed to multiple risk factors, particularly negative student-teacher interactions. Children who exhibit behavior problems during early childhood and the transition to kindergarten, without intervention, can be placed on a developmental trajectory for serious behavior problems in later grades. Using a developmental systems model, this commentary provides a conceptual framework for understanding the contributions of individual and contextual factors to the development of early student-teacher relationships. Parent, teacher, and student characteristics are discussed as they are related to shaping student-teacher interactions and children's adjustment to school.
Early detection of drillstring washouts reduces fishing jobs
Energy Technology Data Exchange (ETDEWEB)
Dudleson, B. (Dubai Petroleum Co. (FR)); Arnold, M.; McCann, D. (Sedco Forex (FR))
1990-10-01
Rapid detection of unexpected drilling events requires continuous monitoring of drilling parameters. A major R and D program by a drilling contractor has led to the introduction of a computerized monitoring system on its offshore rigs. System includes advanced color graphics displays and new smart alarms to help both contractor and operator personnel detect and observe drilling events before they would normally be apparent with conventional rig instrumentation. This article describes a module of this monitoring system, which uses expert system technology to detect the earliest stages of drillstring washouts. Field results demonstrate the effectiveness of the smart alarm incorporated in the system. Early detection allows the driller to react before a twist-off results in expensive fishing operations.
Childhood and Adolescent Television Viewing and Antisocial Behavior in Early Adulthood
Robertson, Lindsay A.; McAnally, Helena M.
2013-01-01
OBJECTIVE: To investigate whether excessive television viewing throughout childhood and adolescence is associated with increased antisocial behavior in early adulthood. METHODS: We assessed a birth cohort of 1037 individuals born in Dunedin, New Zealand, in 1972–1973, at regular intervals from birth to age 26 years. We used regression analysis to investigate the associations between television viewing hours from ages 5 to 15 years and criminal convictions, violent convictions, diagnosis of antisocial personality disorder, and aggressive personality traits in early adulthood. RESULTS: Young adults who had spent more time watching television during childhood and adolescence were significantly more likely to have a criminal conviction, a diagnosis of antisocial personality disorder, and more aggressive personality traits compared with those who viewed less television. The associations were statistically significant after controlling for sex IQ, socioeconomic status, previous antisocial behavior, and parental control. The associations were similar for both sexes, indicating that the relationship between television viewing and antisocial behavior is similar for male and female viewers. CONCLUSIONS: Excessive television viewing in childhood and adolescence is associated with increased antisocial behavior in early adulthood. The findings are consistent with a causal association and support the American Academy of Pediatrics recommendation that children should watch no more than 1 to 2 hours of television each day. PMID:23420910
Early esophageal cancer detection using RF classifiers
Janse, Markus H. A.; van der Sommen, Fons; Zinger, Svitlana; Schoon, Erik J.; de With, Peter H. N.
2016-03-01
Esophageal cancer is one of the fastest rising forms of cancer in the Western world. Using High-Definition (HD) endoscopy, gastroenterology experts can identify esophageal cancer at an early stage. Recent research shows that early cancer can be found using a state-of-the-art computer-aided detection (CADe) system based on analyzing static HD endoscopic images. Our research aims at extending this system by applying Random Forest (RF) classification, which introduces a confidence measure for detected cancer regions. To visualize this data, we propose a novel automated annotation system, employing the unique characteristics of the previous confidence measure. This approach allows reliable modeling of multi-expert knowledge and provides essential data for real-time video processing, to enable future use of the system in a clinical setting. The performance of the CADe system is evaluated on a 39-patient dataset, containing 100 images annotated by 5 expert gastroenterologists. The proposed system reaches a precision of 75% and recall of 90%, thereby improving the state-of-the-art results by 11 and 6 percentage points, respectively.
Kuniishi, Hiroshi; Ichisaka, Satoshi; Yamamoto, Miki; Ikubo, Natsuko; Matsuda, Sae; Futora, Eri; Harada, Riho; Ishihara, Kohei; Hata, Yoshio
2017-10-01
The open field test is one of the most popular ethological tests to assess anxiety-like behavior in rodents. In the present study, we examined the effect of early deprivation (ED), a model of early life stress, on anxiety-like behavior in rats. In ED animals, we failed to find significant changes in the time spent in the center or thigmotaxis area of the open field, the common indexes of anxiety-like behavior. However, we found a significant increase in high-leaning behavior in which animals lean against the wall standing on their hindlimbs while touching the wall with their forepaws at a high position. The high-leaning behavior was decreased by treatment with an anxiolytic, diazepam, and it was increased under intense illumination as observed in the center activity. In addition, we compared the high-leaning behavior and center activity under various illumination intensities and found that the high-leaning behavior is more sensitive to illumination intensity than the center activity in the particular illumination range. These results suggest that the high-leaning behavior is a novel anxiety-like behavior in the open field test that can complement the center activity to assess the anxiety state of rats. Copyright © 2017 Elsevier Ireland Ltd and Japan Neuroscience Society. All rights reserved.
DEFF Research Database (Denmark)
Hansen, Bo Terning; Kjaer, Susanne Krüger; Plum, Christian Edinger Munk
2010-01-01
To investigate associations between early smoking initiation, risk-taking behavior and reproductive health.......To investigate associations between early smoking initiation, risk-taking behavior and reproductive health....
Early detection of sporadic pancreatic cancer: strategic map for innovation--a white paper.
Kenner, Barbara J; Chari, Suresh T; Cleeter, Deborah F; Go, Vay Liang W
2015-07-01
Innovation leading to significant advances in research and subsequent translation to clinical practice is urgently necessary in early detection of sporadic pancreatic cancer. Addressing this need, the Early Detection of Sporadic Pancreatic Cancer Summit Conference was conducted by Kenner Family Research Fund in conjunction with the 2014 American Pancreatic Association and Japan Pancreas Society Meeting. International interdisciplinary scientific representatives engaged in strategic facilitated conversations based on distinct areas of inquiry: Case for Early Detection: Definitions, Detection, Survival, and Challenges; Biomarkers for Early Detection; Imaging; and Collaborative Studies. Ideas generated from the summit have led to the development of a Strategic Map for Innovation built upon 3 components: formation of an international collaborative effort, design of an actionable strategic plan, and implementation of operational standards, research priorities, and first-phase initiatives. Through invested and committed efforts of leading researchers and institutions, philanthropic partners, government agencies, and supportive business entities, this endeavor will change the future of the field and consequently the survival rate of those diagnosed with pancreatic cancer.
Samek, Diana R; Iacono, William G; Keyes, Margaret A; Epstein, Marina; Bornovalova, Marina A; McGue, Matt
2014-07-01
Research has demonstrated a consistent relationship between early sexual experience and subsequent sexual risk-taking behaviors. We hypothesized that this relationship is due to a general predisposition toward behavioral disinhibition (BD), and that relationships among BD, early sex, and subsequent risky sexual behavior may be influenced by common genetic influences for males and common environmental influences for females. A prospective sample of 1,512 same-sex adolescent twins (50.2% female) was used. Adolescent BD was measured by clinical symptom counts of conduct disorder, oppositional defiant disorder, and self-reported delinquent behavior (age 14). Age of sexual initiation was defined as first age of consensual oral or penetrative sex (mean age ~17). Adult risky sexual behavior was defined by sexual behaviors under the influence of drugs and alcohol and number of casual sexual partners in the past year (age 24). Multivariate analyses showed evidence for substantial common genetic variance among age 14 BD, age at sexual initiation, and adult risky sexual behavior for males, but not females. There was no significant difference in the degree of common environmental influence on these variables for females compared to males. Notably, age of sexual initiation was not significantly correlated with age 24 risky sexual behavior for females. The relationship between early sex and later risky sex can be better understood through a general liability toward BD, which is influenced primarily by genetic factors for males. The association between age 14 BD and age of sexual initiation was influenced through a combination of genetic and environmental factors for females; however, age of sexual initiation does not appear to be a salient predictor of adult women’s sexual risk-taking behavior. Findings suggest that prevention programs aimed at reducing sexual risk behavior might target youth exhibiting BD by age 14, particularly males. More research is needed on what predicts
Early detection of radioactive fall-out by gamma-spectrometry
DEFF Research Database (Denmark)
Aage, Helle Karina; Korsbech, Uffe C C; Bargholz, K.
2003-01-01
Radioactive fallout should be detected as early as possible. A new and efficient method for detection of low-level irradiation from manmade radioactivity is developed. Radiation abnormalities are detectable down to air kerma rate, of 0.5 to 1.0 nGy h(-1) for Cs-137 and even lower for I-131...... For multi-gamma energy radioactivity the detection level is 2.6-3.5 nGy h(-1). A standard NaI detector and a 512-channel analyser are used together with noise adjusted singular value decomposition (NASVD). Statistical noise is removed and the measured spectra are reproduced using spectral components...... radioactive sources need to be detected....
EEG Analytics for Early Detection of Autism Spectrum Disorder: A data-driven approach.
Bosl, William J; Tager-Flusberg, Helen; Nelson, Charles A
2018-05-01
Autism spectrum disorder (ASD) is a complex and heterogeneous disorder, diagnosed on the basis of behavioral symptoms during the second year of life or later. Finding scalable biomarkers for early detection is challenging because of the variability in presentation of the disorder and the need for simple measurements that could be implemented routinely during well-baby checkups. EEG is a relatively easy-to-use, low cost brain measurement tool that is being increasingly explored as a potential clinical tool for monitoring atypical brain development. EEG measurements were collected from 99 infants with an older sibling diagnosed with ASD, and 89 low risk controls, beginning at 3 months of age and continuing until 36 months of age. Nonlinear features were computed from EEG signals and used as input to statistical learning methods. Prediction of the clinical diagnostic outcome of ASD or not ASD was highly accurate when using EEG measurements from as early as 3 months of age. Specificity, sensitivity and PPV were high, exceeding 95% at some ages. Prediction of ADOS calibrated severity scores for all infants in the study using only EEG data taken as early as 3 months of age was strongly correlated with the actual measured scores. This suggests that useful digital biomarkers might be extracted from EEG measurements.
Early detection and assertive community treatment of young psychotics
DEFF Research Database (Denmark)
Jørgensen, P; Nordentoft, M; Abel, M B
2000-01-01
Recent research indicates that early detection of young persons suffering from psychosis and subsequent intensive intervention enhances treatment response and prognosis, but the data are only preliminary and suggestive....
Multianalyte Tests for the Early Detection of Cancer: Speedbumps and Barriers
Directory of Open Access Journals (Sweden)
Michael A. Tainsky
2007-01-01
Full Text Available It has become very clear that a single molecular event is inadequate to accurately predict the biology (or pathophysiology of cancer. Furthermore, using any single molecular event as a biomarker for the early detection of malignancy may not comprehensively identify the majority of individuals with that disease. Therefore, the fact that technologies have arisen that can simultaneously detect several, possibly hundreds, of biomarkers has propelled the field towards the development of multianalyte-based in vitro diagnostic early detection tests for cancer using body fl uids such as serum, plasma, sputum, saliva, or urine. These multianalyte tests may be based on the detection of serum autoantibodies to tumor antigens, the presence of cancer-related proteins in serum, or the presence of tumor-specific genomic changes that appear in plasma as free DNA. The implementation of non-invasive diagnostic approaches to detect early stage cancer may provide the physician with evidence of cancer, but the question arises as to how the information will affect the pathway of clinical intervention. The confirmation of a positive result from an in vitro diagnostic cancer test may involve relatively invasive procedures to establish a true cancer diagnosis. If in vitro diagnostic tests are proven to be both specific, i.e. rarely produce false positive results due to unrelated conditions, and sufficiently sensitive, i.e. rarely produce false negative results, then such screening tests offer the potential for early detection and personalized therapeutics using multiple disease-related targets with convenient and non-invasive means. Here we discuss the technical and regulatory barriers inherent in development of clinical multianalyte biomarker assays.
A combination of circulating miRNAs for the early detection of ovarian cancer
Yokoi, Akira; Yoshioka, Yusuke; Hirakawa, Akihiro; Yamamoto, Yusuke; Ishikawa, Mitsuya; Ikeda, Shun-ichi; Kato, Tomoyasu; Niimi, Kaoru; Kajiyama, Hiroaki; Kikkawa, Fumitaka; Ochiya, Takahiro
2017-01-01
Ovarian cancer is the leading cause of gynecologic cancer mortality, due to the difficulty of early detection. Current screening methods lack sufficient accuracy, and it is still challenging to propose a new early detection method that improves patient outcomes with less-invasiveness. Although many studies have suggested the utility of circulating microRNAs in cancer detection, their potential for early detection remains elusive. Here, we develop novel predictive models using a combination of 8 circulating serum miRNAs. This method was able to successfully distinguish ovarian cancer patients from healthy controls (area under the curve, 0.97; sensitivity, 0.92; and specificity, 0.91) and early-stage ovarian cancer from patients with benign tumors (0.91, 0.86 and 0.83, respectively). This method also enables subtype classification in 4 types of epithelial ovarian cancer. Furthermore, it is found that most of the 8 miRNAs were packaged in extracellular vesicles, including exosomes, derived from ovarian cancer cells, and they were circulating in murine blood stream. The circulating miRNAs described in this study may serve as biomarkers for ovarian cancer patients. Early detection and subtype determination prior to surgery are crucial for clinicians to design an effective treatment strategy for each patient, as is the goal of precision medicine. PMID:29163790
International Nuclear Information System (INIS)
Morimoto, Tsuyoshi; Nakijima, Yasuo; Iinuma, Gen; Arai, Yasuaki; Shiraishi, Junji; Moriyama, Noriyuki; Beddoe, G.
2008-01-01
The aim of this study was to evaluate the usefulness of computer-aided detection (CAD) in diagnosing early colorectal cancer using computed tomography colonography (CTC). A total of 30 CTC data sets for 30 early colorectal cancers in 30 patients were retrospectively reviewed by three radiologists. After primary evaluation, a second reading was performed using CAD findings. The readers evaluated each colorectal segment for the presence or absence of colorectal cancer using five confidence rating levels. To compare the assessment results, the sensitivity and specificity with and without CAD were calculated on the basis of the confidence rating, and differences in these variables were analyzed by receiver operating characteristic (ROC) analysis. The average sensitivities for the detection without and with CAD for the three readers were 81.6% and 75.6%, respectively. Among the three readers, only one reader improved sensitivity with CAD compared to that without. CAD decreased specificity in all three readers. CAD detected 100% of protruding lesions but only 69.2% of flat lesions. On ROC analysis, the diagnostic performance of all three readers was decreased by use of CAD. Currently available CAD with CTC does not improve diagnostic performance for detecting early colorectal cancer. An improved CAD algorithm is required for detecting fiat lesions and reducing the false-positive rate. (author)
[CODEPEH 2014 recommendations for the early detection of delayed hearing loss].
Núñez-Batalla, Faustino; Jáudenes-Casaubón, Carmen; Sequí-Canet, José Miguel; Vivanco-Allende, Ana; Zubicaray-Ugarteche, José
2016-10-01
The latest scientific literature considers early diagnosis of deafness as key element to define the educational prognosis and inclusion of the deaf child, as advantage can be taken in the critical period of development (0-4 years). Highly significant differences exist between those deaf persons who have been stimulated early and those who have received late or inappropriate intervention. Early identification of late-onset disorders requires special attention and knowledge of all childcare professionals. Programs and additional actions beyond neonatal screening should be designed and planned in order to ensure that every child with a significant hearing loss is detected early. For this purpose, the Committee for the Early Detection of Deafness (CODEPEH) would like to highlight the need for continuous monitoring on the hearing health of children. And, for this reason, CODEPEH drafts the recommendations included in the present document. Copyright © 2015 Asociación Española de Pediatría. Publicado por Elsevier España, S.L.U. All rights reserved.
Use of behavioral biometrics in intrusion detection and online gaming
Yampolskiy, Roman V.; Govindaraju, Venu
2006-04-01
Behavior based intrusion detection is a frequently used approach for insuring network security. We expend behavior based intrusion detection approach to a new domain of game networks. Specifically, our research shows that a unique behavioral biometric can be generated based on the strategy used by an individual to play a game. We wrote software capable of automatically extracting behavioral profiles for each player in a game of Poker. Once a behavioral signature is generated for a player, it is continuously compared against player's current actions. Any significant deviations in behavior are reported to the game server administrator as potential security breaches. Our algorithm addresses a well-known problem of user verification and can be re-applied to the fields beyond game networks, such as operating systems and non-game networks security.
Multimodal game bot detection using user behavioral characteristics.
Kang, Ah Reum; Jeong, Seong Hoon; Mohaisen, Aziz; Kim, Huy Kang
2016-01-01
As the online service industry has continued to grow, illegal activities in the online world have drastically increased and become more diverse. Most illegal activities occur continuously because cyber assets, such as game items and cyber money in online games, can be monetized into real currency. The aim of this study is to detect game bots in a massively multiplayer online role playing game (MMORPG). We observed the behavioral characteristics of game bots and found that they execute repetitive tasks associated with gold farming and real money trading. We propose a game bot detection method based on user behavioral characteristics. The method of this paper was applied to real data provided by a major MMORPG company. Detection accuracy rate increased to 96.06 % on the banned account list.
Early hearing detection and intervention: 2010 CODEPEH recommendation.
Trinidad-Ramos, Germán; de Aguilar, Valentín Alzina; Jaudenes-Casaubón, Carmen; Núñez-Batalla, Faustino; Sequí-Canet, José Miguel
2010-01-01
Newborn hearing screening is currently performed routinely in many regional health-care systems in Spain. Despite the remarkable expansion in newborn hearing screening since 2000, its feasibility and the benefits of early identification and intervention, many major challenges still remain. In this article, the Committee for the Early Detection of Hearing Loss (Comisión para la Detección Precoz de la Hipoacusia, CODEPEH) updates the recommendations that are considered important for the future development of early hearing detection and intervention (EDHI) systems in the following points: 1. Screening protocols: Separate protocols are recommended for NICU (Neonatal Intensive Care Units) and well-infant nurseries. 2. Diagnostic audiology evaluation. Professionals with skills and expertise in evaluating newborn and young infants should provide diagnosis, selection and fitting of amplification devices. 3. Medical evaluation. Risk factors for congenital and acquired hearing loss have been combined in a single list rather than grouped by time of onset. A stepwise diagnostic paradigm is diagnostically more efficient and cost-effective than a simultaneous testing approach. 4. Early intervention and surveillance. All individuals providing services to infants with hearing loss should have specialized training and expertise in the development of audition, speech and language. Regular surveillance should be performed on developmental milestones, auditory skills, parental concerns, and middle ear status. 5. Quality control. Data management as part of an integrated system is important to monitor and improve the quality of EDHI services. 2009 Elsevier España, S.L. All rights reserved.
Partial discharge early-warning through ultraviolet spectroscopic detection of SO2
International Nuclear Information System (INIS)
Zhao, Yu; Wang, Xianpei; Dai, Dangdang; Dong, Zhengcheng; Huang, Yunguang
2014-01-01
Surveillance of SF 6 decomposition products is significant for detection of partial discharge (PD) in gas insulation switchgear (GIS). As a basis in on-site detection and diagnosis, PD early-warning aims to quickly find the abnormalities using a simple and cheap device. In this paper, SO 2 is chosen as a feature product and detected through ultraviolet spectroscopy. The derivative method is employed for baseline correction and spectral enhancement. The standard gases of the main decomposition products are qualitatively and quantitatively detected. Then decomposition experiments with different defects are designed to further verify the feasibility. As a stable decomposition product under PD, SO 2 is proved to be applicable for PD early-warning in the field. By selecting the appropriate wavelength range, namely 290–310 nm, ultraviolet derivative spectroscopy is sensitive enough to the trace SO 2 in the decomposed gas and the interference of other products can be avoided. Fast Fourier transform could be used for feature extraction in qualitative detection. Concentrations of SO 2 and other by-products increase with increasing discharge time and could be affected by the discharge energy and PD type. Ultraviolet detection based on SO 2 is effective for PD early-warning but the threshold should still be carefully selected in practice. (paper)
Early detection of fungi damage in citrus using NIR spectroscopy
Blasco, Jose; Ortiz, Coral; Sabater, Maria D.; Molto, Enrique
2000-12-01
Early detection of defects and diseases in fruit helps to correctly classify them and make more adequate decisions about the destination of the product: internal market, export or industry. An early fungi infection detection is especially important because a few infected fruits can disseminate the infection to a whole batch, causing great economic losses and affecting to further exports. Ensure products with excellent quality and absolute absence of fungi infections is particularly important in those batches for long conservation or to be exported. The main objective of this work is to detect the fungi infections before they can be visible. Near Infrared spectroscopy has been employed in this work, because it is a non-destructive technique and can be easily implemented on line due to the high speed and simplicity of the process.
A Virtual Bioinformatics Knowledge Environment for Early Cancer Detection
Crichton, Daniel; Srivastava, Sudhir; Johnsey, Donald
2003-01-01
Discovery of disease biomarkers for cancer is a leading focus of early detection. The National Cancer Institute created a network of collaborating institutions focused on the discovery and validation of cancer biomarkers called the Early Detection Research Network (EDRN). Informatics plays a key role in enabling a virtual knowledge environment that provides scientists real time access to distributed data sets located at research institutions across the nation. The distributed and heterogeneous nature of the collaboration makes data sharing across institutions very difficult. EDRN has developed a comprehensive informatics effort focused on developing a national infrastructure enabling seamless access, sharing and discovery of science data resources across all EDRN sites. This paper will discuss the EDRN knowledge system architecture, its objectives and its accomplishments.
Fulfilling the potential of cancer prevention and early detection
National Research Council Canada - National Science Library
Curry, Susan J; Byers, Tim; Hewitt, Maria Elizabeth
2003-01-01
.... The National Cancer Policy Board, part of the Institute of Medicine, outlines a national strategy to realize the promise of cancer prevention and early detection, including specific and wide-ranging recommendations...
[Early detection of autism in children. Review of literature].
Pisula, E
1997-01-01
The difficulties with early detection of autistic disorder in children are discussed. DSM-IV diagnostic criteria are presented. Usefulness of clinical interview and clinical experiment in diagnosing autistic disorder are analyzed.
Hentges, Rochelle F; Shaw, Daniel S; Wang, Ming-Te
2017-11-20
The current study utilized a longitudinal design to explore the effect of early child impulsivity and rejecting parenting on the development of problematic behaviors in adolescence and early adulthood. Using a low-income sample of 310 mothers and their sons, we examined the direct and interactive effects of child impulsivity and rejecting parenting at age 2 on aggression and substance use at ages 12, 15, and 22, as well as risky sexual behavior at ages 15 and 22. Results revealed that rejecting parenting at age 2 predicted greater aggression at age 12 and risky sexual behavior at ages 15 and 22. Early impulsivity had few direct effects on later outcomes, with the exception of greater substance use at age 22. Instead, impulsivity emerged as a significant moderator in the link between rejecting parenting and aggression at all three ages and substance use at age 15. Specifically, early rejecting parenting predicted greater aggression and substance use only for children high in impulsivity. Findings highlight the potential for early child and parenting risk factors to have long-term implications for adjustment, with the combination of high impulsivity and rejecting parenting being particularly deleterious for problems of aggression throughout adolescence and into early adulthood.
Trends and Topics in Early Intensive Behavioral Interventions for Toddlers with Autism
Matson, Johnny L.; Tureck, Kimberly; Turygin, Nicole; Beighley, Jennifer; Rieske, Robert
2012-01-01
The use of applied behavior analysis (ABA) to treat persons with autism goes back several decades. Many specific target behaviors and intervention strategies have been developed. In the last two decades the most heavily studied of these methods has been Early Intensive Behavioral Interventions (EIBI). This package of ABA methods is unique in two…
Maternal hypothyroxinaemia in early pregnancy and problem behavior in 5-year-old offspring.
Oostenbroek, Maurits H W; Kersten, Remco H J; Tros, Benjamin; Kunst, Anton E; Vrijkotte, Tanja G M; Finken, Martijn J J
2017-07-01
There is evidence, though not consistent, that offspring born to mothers with subtle decreases in thyroid function early in their pregnancies may be at risk of cognitive impairments and attention problems. However, other types of problem behavior have not been addressed thus far. We tested whether maternal thyroid function in early pregnancy is associated with several types of problem behavior in offspring at age 5-6 years. This was a longitudinal study that included the data of 2000 mother-child pairs from the Amsterdam Born Children and their Development study. At a median gestational age of 12.9 (interquartile range: 11.9-14.1) weeks, maternal blood was sampled for assessment of free T4 and TSH. Overall problem behavior, hyperactivity/inattention, conduct problems, emotional problems, peer relationship problems and prosocial behavior were measured at age 5-6 years using the Strengths and Difficulties Questionnaire, which was filled out by both parents and teachers. Maternal hypothyroxinaemia behavior. Our results partially confirm previous observations, showing that early disruptions in the maternal thyroid hormone supply may be associated with ADHD symptoms in offspring. Our study adds that there is no evidence for an effect on other types of problem behavior. Copyright © 2017 Elsevier Ltd. All rights reserved.
Cervical screening with Luviva machine for early detection of ...
African Journals Online (AJOL)
Cervical screening with Luviva machine for early detection of cervical dysplasia: ... glandular cell (AGC), Atypical glandular cell favouring neoplasia (AGC-FN), ... in low grade squamous intraepithelial lesion was recorded among the patients.
Directory of Open Access Journals (Sweden)
Lucia Lazarowski
2018-03-01
Full Text Available Specialized detector dogs are increasingly being utilized for the detection of modern threats. The Vapor Wake® (VW dog was developed to create a dog phenotype ideally suited for detecting hand-carried and body-worn explosives. VW dogs (VWDs are trained to sample and alert to target odors in the aerodynamic wakes of moving persons, which entrains vapor and small particles from the person. The behavioral characteristics necessary for dogs to be successfully trained and employed for the application of VW are a distinct subset of the desired general characteristics of dogs used for detection tasks due to the dynamic nature of moving targets. The purpose of this study was to examine the behavioral characteristics of candidate detector dogs to determine the particular qualities that set apart VW-capable dogs from others. We assessed 146 candidate detector dogs from a VW breeding and training program. Dogs received identical puppy development and foundational odor training and underwent performance evaluations at 3, 6, 10, and 12 months old, after which they were sold for service. Dogs were categorized based on their final outcome of the training program, independently determined by private vendors, corresponding to three groups: dogs successfully sold for VW, dogs sold for standard explosives detection, and dogs that failed to be placed in any type of detector dog service (Washouts. Comparisons of behavioral evaluations between the groups were made across domains pertaining to search-related behaviors (Performance, reactions to novel stimuli (Environmental, and overall ease of learning new tasks (Trainability. Comparisons were also made at each evaluation to determine any early emergence of differences. VWDs scored significantly higher on Performance characteristics compared to standard explosives detection dogs (EDDs and Washouts. However, Environmental characteristics did not differentiate VWDs from EDDs, though scores on these measures were
Lazarowski, Lucia; Haney, Pamela Sue; Brock, Jeanne; Fischer, Terry; Rogers, Bart; Angle, Craig; Katz, Jeffrey S; Waggoner, L Paul
2018-01-01
Specialized detector dogs are increasingly being utilized for the detection of modern threats. The Vapor Wake ® (VW) dog was developed to create a dog phenotype ideally suited for detecting hand-carried and body-worn explosives. VW dogs (VWDs) are trained to sample and alert to target odors in the aerodynamic wakes of moving persons, which entrains vapor and small particles from the person. The behavioral characteristics necessary for dogs to be successfully trained and employed for the application of VW are a distinct subset of the desired general characteristics of dogs used for detection tasks due to the dynamic nature of moving targets. The purpose of this study was to examine the behavioral characteristics of candidate detector dogs to determine the particular qualities that set apart VW-capable dogs from others. We assessed 146 candidate detector dogs from a VW breeding and training program. Dogs received identical puppy development and foundational odor training and underwent performance evaluations at 3, 6, 10, and 12 months old, after which they were sold for service. Dogs were categorized based on their final outcome of the training program, independently determined by private vendors, corresponding to three groups: dogs successfully sold for VW, dogs sold for standard explosives detection, and dogs that failed to be placed in any type of detector dog service (Washouts). Comparisons of behavioral evaluations between the groups were made across domains pertaining to search-related behaviors (Performance), reactions to novel stimuli (Environmental), and overall ease of learning new tasks (Trainability). Comparisons were also made at each evaluation to determine any early emergence of differences. VWDs scored significantly higher on Performance characteristics compared to standard explosives detection dogs (EDDs) and Washouts. However, Environmental characteristics did not differentiate VWDs from EDDs, though scores on these measures were significantly
FabryScan: a screening tool for early detection of Fabry disease
Arning, Kathrin; Naleschinski, Dennis; Maag, Rainer; Biegstraaten, Marieke; Kropp, Peter; Lorenzen, Jürgen; Hollak, Carla E. M.; van Schaik, Ivo N.; Harten, Pontus; Zeuner, Rainald A.; Binder, Andreas; Baron, Ralf
2012-01-01
Fabry disease, an X-linked lipid storage disorder, is associated early morbidity and mortality. Since enzyme replacement therapy is available, accurate detection of unrecognized cases is important. Characteristic early symptoms are recurrent episodes of burning and lancinating pain in the distal
Maternal Predictors of Rejecting Parenting and Early Adolescent Antisocial Behavior
Trentacosta, Christopher J.; Shaw, Daniel S.
2007-01-01
The present study examined relations among maternal psychological resources, rejecting parenting, and early adolescent antisocial behavior in a sample of 231 low-income mothers and their sons with longitudinal assessments from age 18 months to 12 years. The maternal resources examined were age at first birth, aggressive personality, and empathy. Each of the maternal resources predicted rejecting parenting during early childhood in structural equation models that controlled for toddler difficu...
Point/Counterpoint: early detection of prostate cancer: do the benefits outweigh the consequences?
Carroll, Peter R; Vickers, Andrew J
2014-05-01
Few clinical issues have polarized the oncology community as much as screening for prostate cancer, with advocates of prostate-specific antigen (PSA) testing vocal on one side and skeptics just as vocal on the other. At the NCCN 19th Annual Conference, Dr. Peter R. Carroll and Dr. Andrew J. Vickers tackled the controversy surrounding early detection of prostate cancer, focusing attention on the randomized trial results at the heart of the matter; over-detection (the Achilles' heel of screening); and the rationale behind the new, streamlined 2014 NCCN Clinical Practice Guidelines in Oncology (NCCN Guidelines) for Prostate Cancer Early Detection, which emphasize selective early detection and treatment and are tightly aligned with the NCCN Guidelines for Prostate Cancer. Copyright © 2014 by the National Comprehensive Cancer Network.
Value of mammography in the early detection of breast cancer
International Nuclear Information System (INIS)
Sabate, J.; Molina, L.; Jimenez, A.; Fernandez, E.
1997-01-01
Breast cancer is the most prevalent malignant tumor in women; the etiopathogenesis is unknown and it is associated with high rates of morbidity and mortality. In the fifties, different screening programs were developed for the early detection of breast cancer in the attempt to reduce the mortality attributed to this disease process. Mammography is one of the cornerstones of these programs because of its efficacy in the detection of subclinical tumors. We carried out a retrospective review of nine campaigns for the early detection of breast cancer, studying 11, 328 case reports; among these patients, there were 43 cases of breast cancer. Mammography was positive in 90.6% of these cases. Only in two patients did the image fail to reveal changes indicative of possible neoplasm; in both cases, the breasts involved were very dense. (Author) 26 refs
Taubner Svenja; Curth Christian
2013-01-01
The aim of the study was to examine whether mentalization serves as a protective factor against aggressive behavior in adolescence in the context of early traumatization. We present data from a non-clinical sample of adolescents from Germany (n=97) and calculate a mediation model to test the link between early traumatic experiences and aggressive behavior with mentalizing skills as a mediator. Mentalization was assessed with the Reflective Functioning Scale on the Adult-Attachment-Inter...
Collison, Kate S; Inglis, Angela; Shibin, Sherin; Andres, Bernard; Ubungen, Rosario; Thiam, Jennifer; Mata, Princess; Al-Mohanna, Futwan A
2016-12-01
We have previously showed that lifetime exposure to aspartame, commencing in utero via the mother's diet, may impair insulin tolerance and cause behavioral deficits in adulthood via mechanisms which are incompletely understood. The role of the CNS in regulating glucose homeostasis has been highlighted by recent delineation of the gut-brain axis, in which N-methyl-d-aspartic acid receptors (NMDARs) are important in maintaining glucose homeostasis, in addition to regulating certain aspects of behavior. Since the gut-brain axis can be modulated by fetal programming, we hypothesized that early-life NMDAR antagonism may affect aspartame-induced glucose deregulation in adulthood, and may alter the aspartame behavioral phenotype. Accordingly, C57Bl/6J mice were chronically exposed to aspartame commencing in utero, in the presence and absence of maternal administration of the competitive NMDAR antagonist CGP 39551, from conception until weaning. Drug/diet interactions in adulthood glucocentric and behavioral parameters were assessed. Aspartame exposure elevated blood glucose and impaired insulin-induced glucose disposal during an insulin tolerance test, which could be normalized by NMDAR antagonism. The same effects were not observed in control diet mice, suggesting an early-life drug/diet interaction. Behavioral analysis of adult offspring indicated that NMDAR antagonism of control diet mice caused hyperlocomotion and impaired spatial navigation. Conversely hypolocomotion, reduced exploratory activity and increased anxiety-related behavior were apparent in aspartame diet mice with early-life NMDAR antagonism. significant drug/diet interactions in glucocentric and behavioral parameters were identified in aspartame-exposed mice with early-life NMDAR antagonism. This suggests a possible involvement of early NMDAR interactions in aspartame-impaired glucose homeostasis and behavioral deficits. Copyright © 2016 Elsevier Inc. All rights reserved.
Perceived neighborhood social resources as determinants of prosocial behavior in early adolescence.
Lenzi, Michela; Vieno, Alessio; Perkins, Douglas D; Pastore, Massimiliano; Santinello, Massimo; Mazzardis, Sonia
2012-09-01
The present study aims to develop an integrative model that links neighborhood behavioral opportunities and social resources (neighborhood cohesion, neighborhood friendship and neighborhood attachment) to prosocial (sharing, helping, empathic) behavior in early adolescence, taking into account the potential mediating role of perceived support of friends. Path analysis was used to test the proposed theoretical model in a sample of 1,145 Italian early adolescents (6th through 8th graders). More perceived opportunities and social resources in the neighborhood are related to higher levels of adolescent prosocial behavior, and this relationship is partially mediated by perceived social support from friends. The results offer promising implications for future research and intervention programs that aim to modify social systems to improve child and adolescent social competencies.
Improved Detection of Microsatellite Instability in Early Colorectal Lesions.
Directory of Open Access Journals (Sweden)
Jeffery W Bacher
Full Text Available Microsatellite instability (MSI occurs in over 90% of Lynch syndrome cancers and is considered a hallmark of the disease. MSI is an early event in colon tumor development, but screening polyps for MSI remains controversial because of reduced sensitivity compared to more advanced neoplasms. To increase sensitivity, we investigated the use of a novel type of marker consisting of long mononucleotide repeat (LMR tracts. Adenomas from 160 patients, ranging in age from 29-55 years old, were screened for MSI using the new markers and compared with current marker panels and immunohistochemistry standards. Overall, 15 tumors were scored as MSI-High using the LMRs compared to 9 for the NCI panel and 8 for the MSI Analysis System (Promega. This difference represents at least a 1.7-fold increase in detection of MSI-High lesions over currently available markers. Moreover, the number of MSI-positive markers per sample and the size of allelic changes were significantly greater with the LMRs (p = 0.001, which increased confidence in MSI classification. The overall sensitivity and specificity of the LMR panel for detection of mismatch repair deficient lesions were 100% and 96%, respectively. In comparison, the sensitivity and specificity of the MSI Analysis System were 67% and 100%; and for the NCI panel, 75% and 97%. The difference in sensitivity between the LMR panel and the other panels was statistically significant (p<0.001. The increased sensitivity for detection of MSI-High phenotype in early colorectal lesions with the new LMR markers indicates that MSI screening for the early detection of Lynch syndrome might be feasible.
Early biotic stress detection in tomato ( Solanum lycopersicum ) by BVOC emissions
Kasal-Slavik, Tina; Eschweiler, Julia; Kleist, Einhard; Mumm, Roland; Goldbach, Heiner E.; Schouten, Sander; Wildt, Jürgen
2017-01-01
We investigated impacts of early and mild biotic stress on Biogenic Volatile Organic Compounds (BVOC) emissions from tomato in order to test their potential for early (biotic) stress detection. Tomato plants were exposed to two common fungal pathogens, Botrytis cinerea and Oidium neolycopesici and
Newton, Jeremy; Sepulveda, Adam; Sylvester, K; Thum, Ryan
2016-01-01
Considering the harmful and irreversible consequences of many biological invasions, early detection of an invasive species is an important step toward protecting ecosystems (Sepulveda et al. 2012). Early detection increases the probability that suppression or eradication efforts will be successful because invasive populations are small and localized (Vander Zanden et al. 2010). However, most invasive species are not detected early because current tools have low detection probabilities when target species are rare and the sampling effort required to achieve acceptable detection capabilities with current tools is seldom tractable (Jerde et al. 2011). As a result, many invasive species go undetected until they are abundant and suppression efforts become costly. Novel DNA-based surveillance tools have recently revolutionized early detection abilities using environmental DNA (eDNA) present in the water (Darling and Mahon 2011, Bohmann et al. 2014). In brief, eDNA monitoring enables the identification of organisms from DNA present and collected in water samples. Aquatic and semiaquatic organisms release DNA contained in sloughed, damaged, or partially decomposed tissue and waste products into the water and molecular techniques allow this eDNA in the water column to be identified from simple and easy-tocollect water samples (Darling and Mahon 2011). Despite limited understanding of the production, persistence, and spread of DNA in water (Barnes et al. 2014), eDNA monitoring has been applied not only to invasive species (Jerde et al. 2011), but also to species that are rare, endangered, or highly elusive (Spear et al. 2014). However, most eDNA research and monitoring has focused on detection of invertebrates and vertebrates and less attentionhas been given to developing eDNA techniques for detecting aquatic invasive plants. Eurasian watermilfoil (EWM; Myriophyllum spicatum L.) is an invasive species for which improved early detection would be particularly helpful. Advanced
Waller, Rebecca; Gardner, Frances; Dishion, Thomas; Sitnick, Stephanie L; Shaw, Daniel S; Winter, Charlotte E; Wilson, Melvin
2015-05-01
A large literature provides strong empirical support for the influence of parenting on child outcomes. The current study addresses enduring research questions testing the importance of early parenting behavior to children's adjustment. Specifically, we developed and tested a novel multi-method observational measure of parental positive behavior support at age 2. Next, we tested whether early parental positive behavior support was related to child adjustment at school age, within a multi-agent and multi-method measurement approach and design. Observational and parent-reported data from mother-child dyads (N = 731; 49 percent female) were collected from a high-risk sample at age 2. Follow-up data were collected via teacher report and child assessment at age 7.5. The results supported combining three different observational methods to assess positive behavior support at age 2 within a latent factor. Further, parents' observed positive behavior support at age 2 predicted multiple types of teacher-reported and child-assessed problem behavior and competencies at 7.5 years old. Results supported the validity and predictive capability of a multi-method observational measure of parenting and the importance of a continued focus on the early years within preventive interventions.
Infant titi monkey behavior in the open field test and the effect of early adversity.
Larke, Rebecca H; Toubiana, Alice; Lindsay, Katrina A; Mendoza, Sally P; Bales, Karen L
2017-09-01
The open field test is commonly used to measure anxiety-related behavior and exploration in rodents. Here, we used it as a standardized novel environment in which to evaluate the behavioral response of infant titi monkeys (Callicebus cupreus), to determine the effect of presence of individual family members, and to assess how adverse early experience alters infant behavior. Infants were tested in the open field for 5 days at ages 4 and 6 months in four successive 5 min trials on each day. A transport cage, which was situated on one side of the open field, was either empty (non-social control) or contained the father, mother, or sibling. Infant locomotor, vocalization, and exploratory behavior were quantified. Results indicated that age, sex, social condition, and early experience all had significant effects on infant behavior. Specifically, infants were generally more exploratory at 6 months and male infants were more exploratory than females. Infants distinguished between social and non-social conditions but made few behavioral distinctions between the attachment figure and other individuals. Infants which had adverse early life experience demonstrated greater emotional and physical independence, suggesting that early adversity led to resiliency in the novel environment. © 2017 Wiley Periodicals, Inc.
Early detection of abnormal patient arrivals at hospital emergency department
Harrou, Fouzi; Sun, Ying; Kadri, Farid; Chaabane, Sondes; Tahon, Christian
2015-01-01
Overcrowding is one of the most crucial issues confronting emergency departments (EDs) throughout the world. Efficient management of patient flows for ED services has become an urgent issue for most hospital administrations. Handling and detection of abnormal situations is a key challenge in EDs. Thus, the early detection of abnormal patient arrivals at EDs plays an important role from the point of view of improving management of the inspected EDs. It allows the EDs mangers to prepare for high levels of care activities, to optimize the internal resources and to predict enough hospitalization capacity in downstream care services. This study reports the development of statistical method for enhancing detection of abnormal daily patient arrivals at the ED, which able to provide early alert mechanisms in the event of abnormal situations. The autoregressive moving average (ARMA)-based exponentially weighted moving average (EWMA) anomaly detection scheme proposed was successfully applied to the practical data collected from the database of the pediatric emergency department (PED) at Lille regional hospital center, France.
Early detection of abnormal patient arrivals at hospital emergency department
Harrou, Fouzi
2015-10-21
Overcrowding is one of the most crucial issues confronting emergency departments (EDs) throughout the world. Efficient management of patient flows for ED services has become an urgent issue for most hospital administrations. Handling and detection of abnormal situations is a key challenge in EDs. Thus, the early detection of abnormal patient arrivals at EDs plays an important role from the point of view of improving management of the inspected EDs. It allows the EDs mangers to prepare for high levels of care activities, to optimize the internal resources and to predict enough hospitalization capacity in downstream care services. This study reports the development of statistical method for enhancing detection of abnormal daily patient arrivals at the ED, which able to provide early alert mechanisms in the event of abnormal situations. The autoregressive moving average (ARMA)-based exponentially weighted moving average (EWMA) anomaly detection scheme proposed was successfully applied to the practical data collected from the database of the pediatric emergency department (PED) at Lille regional hospital center, France.
On the pilot's behavior of detecting a system parameter change
Morizumi, N.; Kimura, H.
1986-01-01
The reaction of a human pilot, engaged in compensatory control, to a sudden change in the controlled element's characteristics is described. Taking the case where the change manifests itself as a variance change of the monitored signal, it is shown that the detection time, defined to be the time elapsed until the pilot detects the change, is related to the monitored signal and its derivative. Then, the detection behavior is modeled by an optimal controller, an optimal estimator, and a variance-ratio test mechanism that is performed for the monitored signal and its derivative. Results of a digital simulation show that the pilot's detection behavior can be well represented by the model proposed here.
Directory of Open Access Journals (Sweden)
Carlos Eduardo Neves Girardi
2014-09-01
Full Text Available Psychiatric disorders are multifactorial diseases with etiology that may involve genetic factors, early life environment and stressful life events. The neurodevelopmental hypothesis of schizophrenia is based on a wealth of data on increased vulnerability in individuals exposed to insults during the perinatal period. Maternal deprivation disinhibits the adrenocortical response to stress in neonatal rats and has been used as an animal model of schizophrenia. To test if long-term affective consequences of early life stress were influenced by maternal presence, we submitted 10-day old rats, either deprived (for 22 h or not from their dams, to a stress challenge (i.p. saline injection. Corticosterone plasma levels were measured 2 h after the challenge, whereas another subgroup was assessed for behavior in the open field, elevated plus maze, social investigation and the negative contrast sucrose consumption test in adolescence (postnatal day 45. Maternally deprived rats exhibited increased plasma corticosterone levels which were higher in maternally deprived and stress challenged pups. Social investigation was impaired in maternally deprived rats only, while saline injection, independently of maternal deprivation, was associated with increased anxiety-like behavior in the elevated plus maze and an impaired intake decrement in the negative sucrose contrast. In the open field, center exploration was reduced in all maternally-deprived adolescents and in control rats challenged with saline injection. The most striking finding was that exposure to a stressful stimulus per se, regardless of maternal deprivation, was linked to differential emotional consequences. We therefore propose that besides being a well-known and validated model of schizophrenia in adult rats, the maternal deprivation paradigm could be extended to model early signs of psychiatric dysfunction, and would particularly be a useful tool to detect early signs that resemble schizophrenia.
Driving behaviors in early stage dementia: a study using in-vehicle technology.
Eby, David W; Silverstein, Nina M; Molnar, Lisa J; LeBlanc, David; Adler, Geri
2012-11-01
According to the Alzheimer's Association (2011), (1) in 8 people age 65 and older, and about one-half of people age 85 and older, have Alzheimer's disease in the United States (US). There is evidence that drivers with Alzheimer's disease and related dementias are at an increased risk for unsafe driving. Recent advances in sensor, computer, and telecommunication technologies provide a method for automatically collecting detailed, objective information about the driving performance of drivers, including those with early stage dementia. The objective of this project was to use in-vehicle technology to describe a set of driving behaviors that may be common in individuals with early stage dementia (i.e., a diagnosis of memory loss) and compare these behaviors to a group of drivers without cognitive impairment. Seventeen drivers with a diagnosis of early stage dementia, who had completed a comprehensive driving assessment and were cleared to drive, participated in the study. Participants had their vehicles instrumented with a suite of sensors and a data acquisition system, and drove 1-2 months as they would under normal circumstances. Data from the in-vehicle instrumentation were reduced and analyzed, using a set of algorithms/heuristics developed by the research team. Data from the early stage dementia group were compared to similar data from an existing dataset of 26 older drivers without dementia. The early stage dementia group was found to have significantly restricted driving space relative to the comparison group. At the same time, the early stage dementia group (which had been previously cleared by an occupational therapist as safe to drive) drove as safely as the comparison group. Few safety-related behavioral errors were found for either group. Wayfinding problems were rare among both groups, but the early stage dementia group was significantly more likely to get lost. Copyright © 2011 Elsevier Ltd. All rights reserved.
Social and behavioral skills and the gender gap in early educational achievement.
Diprete, Thomas A; Jennings, Jennifer L
2012-01-01
Though many studies have suggested that social and behavioral skills play a central role in gender stratification processes, we know little about the extent to which these skills affect gender gaps in academic achievement. Analyzing data from the Early Child Longitudinal Study-Kindergarten Cohort, we demonstrate that social and behavioral skills have substantively important effects on academic outcomes from kindergarten through fifth grade. Gender differences in the acquisition of these skills, moreover, explain a considerable fraction of the gender gap in academic outcomes during early elementary school. Boys get roughly the same academic return to social and behavioral skills as their female peers, but girls begin school with more advanced social and behavioral skills and their skill advantage grows over time. While part of the effect may reflect an evaluation process that rewards students who better conform to school norms, our results imply that the acquisition of social and behavioral skills enhances learning as well. Our results call for a reconsideration of the family and school-level processes that produce gender gaps in social and behavioral skills and the advantages they confer for academic and later success. Copyright © 2011 Elsevier Inc. All rights reserved.
Di, Lianjun; Wu, Huichao; Zhu, Rong; Li, Youfeng; Wu, Xinglong; Xie, Rui; Li, Hongping; Wang, Haibo; Zhang, Hua; Xiao, Hong; Chen, Hui; Zhen, Hong; Zhao, Kui; Yang, Xuefeng; Xie, Ming; Tuo, Bigung
2017-12-06
Gastric cancer is a frequent malignant tumor worldwide and its early detection is crucial for curing the disease and enhancing patients' survival rate. This study aimed to assess whether the multi-disciplinary team (MDT) can improve the detection rate of early gastric cancer (EGC). The detection rate of EGC at the Digestive Endoscopy Center, Affiliated Hospital, Zunyi Medical College, China between September 2013 and September 2015 was analyzed. MDT for the diagnosis of EGC in the hospital was established in September 2014. The study was divided into 2 time periods: September 1, 2013 to August 31, 2014 (period 1) and September 1, 2014 to September 1, 2015 (period 2). A total of 60,800 patients' gastroscopies were performed during the two years. 61 of these patients (0.1%) were diagnosed as EGC, accounting for 16.44% (61/371) of total patients with gastric cancer. The EGC detection rate before MDT (period 1) was 0.05% (16/29403), accounting for 9.09% (16/176) of total patients with gastric cancer during this period. In comparison, the EGC detection rate during MDT (period 2) was 0.15% (45/31397), accounting for 23% (45/195) of total patients with gastric cancer during this period (P cooperation with Department of Pathology (OR = 10.1, 95% CI 2.39-43.3, P < 0.05). MDT could improve the endoscopic detection rate of EGC.
A New Method for Early Anomaly Detection of BWR Instabilities
International Nuclear Information System (INIS)
Ivanov, K.N.
2005-01-01
The objective of the performed research is to develop an early anomaly detection methodology so as to enhance safety, availability, and operational flexibility of Boiling Water Reactor (BWR) nuclear power plants. The technical approach relies on suppression of potential power oscillations in BWRs by detecting small anomalies at an early stage and taking appropriate prognostic actions based on an anticipated operation schedule. The research utilizes a model of coupled (two-phase) thermal-hydraulic and neutron flux dynamics, which is used as a generator of time series data for anomaly detection at an early stage. The model captures critical nonlinear features of coupled thermal-hydraulic and nuclear reactor dynamics and (slow time-scale) evolution of the anomalies as non-stationary parameters. The time series data derived from this nonlinear non-stationary model serves as the source of information for generating the symbolic dynamics for characterization of model parameter changes that quantitatively represent small anomalies. The major focus of the presented research activity was on developing and qualifying algorithms of pattern recognition for power instability based on anomaly detection from time series data, which later can be used to formulate real-time decision and control algorithms for suppression of power oscillations for a variety of anticipated operating conditions. The research being performed in the framework of this project is essential to make significant improvement in the capability of thermal instability analyses for enhancing safety, availability, and operational flexibility of currently operating and next generation BWRs.
Recursive SVM biomarker selection for early detection of breast cancer in peripheral blood.
Zhang, Fan; Kaufman, Howard L; Deng, Youping; Drabier, Renee
2013-01-01
Breast cancer is worldwide the second most common type of cancer after lung cancer. Traditional mammography and Tissue Microarray has been studied for early cancer detection and cancer prediction. However, there is a need for more reliable diagnostic tools for early detection of breast cancer. This can be a challenge due to a number of factors and logistics. First, obtaining tissue biopsies can be difficult. Second, mammography may not detect small tumors, and is often unsatisfactory for younger women who typically have dense breast tissue. Lastly, breast cancer is not a single homogeneous disease but consists of multiple disease states, each arising from a distinct molecular mechanism and having a distinct clinical progression path which makes the disease difficult to detect and predict in early stages. In the paper, we present a Support Vector Machine based on Recursive Feature Elimination and Cross Validation (SVM-RFE-CV) algorithm for early detection of breast cancer in peripheral blood and show how to use SVM-RFE-CV to model the classification and prediction problem of early detection of breast cancer in peripheral blood.The training set which consists of 32 health and 33 cancer samples and the testing set consisting of 31 health and 34 cancer samples were randomly separated from a dataset of peripheral blood of breast cancer that is downloaded from Gene Express Omnibus. First, we identified the 42 differentially expressed biomarkers between "normal" and "cancer". Then, with the SVM-RFE-CV we extracted 15 biomarkers that yield zero cross validation score. Lastly, we compared the classification and prediction performance of SVM-RFE-CV with that of SVM and SVM Recursive Feature Elimination (SVM-RFE). We found that 1) the SVM-RFE-CV is suitable for analyzing noisy high-throughput microarray data, 2) it outperforms SVM-RFE in the robustness to noise and in the ability to recover informative features, and 3) it can improve the prediction performance (Area Under
Infrared light sensor applied to early detection of tooth decay
Benjumea, Eberto; Espitia, José; Díaz, Leonardo; Torres, Cesar
2017-08-01
The approach dentistry to dental care is gradually shifting to a model focused on early detection and oral-disease prevention; one of the most important methods of prevention of tooth decay is opportune diagnosis of decay and reconstruction. The present study aimed to introduce a procedure for early diagnosis of tooth decay and to compare result of experiment of this method with other common treatments. In this setup, a laser emitting infrared light is injected in core of one bifurcated fiber-optic and conduced to tooth surface and with the same bifurcated fiber the radiation reflected for the same tooth is collected and them conduced to surface of sensor that measures thermal and light frequencies to detect early signs of decay below a tooth surface, where demineralization is difficult to spot with x-ray technology. This device will can be used to diagnose tooth decay without any chemicals and rays such as high power lasers or X-rays.
Individual responsibility in early detection of prostate gland cancer
International Nuclear Information System (INIS)
Nodal Laugart, Ramon Lemay; Rodriguez Ardi, Maricel; Tamayo Tamayo, Iser
2011-01-01
Starting from the point that morbidity and mortality rate due to prostate gland cancer has increased in Santiago de Cuba, the authors of this work decided to analyze the relation to individual responsibility in order to early detect the aforementioned condition. Therefore, 48 men over 50 years old belonging to the health area of Frank Pais Garcia University Polyclinic in Santiago de Cuba were surveyed during the first months of the year 2011 to determine the factors that influenced on the low risk perception. Results showed the urgent need of carrying out actions of health promotion and disease prevention in order to achieve the individual feels more responsible of his health care. Of the case material, 85,4 % participants admitted they did not have the tests to guarantee the early diagnosis or detect this tumor.(author)
UWB based low-cost and non-invasive practical breast cancer early detection
Vijayasarveswari, V.; Khatun, S.; Fakir, M. M.; Jusoh, M.; Ali, S.
2017-03-01
Breast cancer is one of the main causes of women death worldwide. Breast tumor is an early stage of cancer that locates in cells of a human breast. As there is no remedy, early detection is crucial. Towards this, Ultra-Wideband (UWB) is a prominent candidate. It is a wireless communication technology which can achieve high bandwidth with low power utilization. UWB is suitable to be used for short range communication systems including breast cancer detection since it is secure, non-invasive and human health friendly. This paper presents the low-cost and non-invasive early breast cancer detection strategy using UWB sensor (or antenna). Emphasis is given here to detect breast tumor in 2D and 3D environments. The developed system consisted of hardware and software. Hardware included UWB transceiver and a pair of home-made directional sensor/antenna. The software included feed-forward back propagation Neural Network (NN) module to detect the tumor existence, size and location along with soft interface between software and hardware. Forward scattering technique was used by placing two sensors diagonally opposite sides of a breast phantom. UWB pulses were transmitted from one side of phantom and received from other side, controlled by the software interface in PC environment. Collected received signals were then fed into the NN module for training, testing and validation. The system exhibited detection efficiency on tumor existence, location (x, y, z), and size were approximately 100%, (78.17%, 70.66%, 92.46%), 85.86% respectively. The proposed UWB based early breast cancer detection system could be more practical with low-cost, user friendly and non-harmful features. This project may help users to monitor their breast health regularly at their home.
Wolters, Nina; Knoors, Harry; Cillessen, Antonius H. N.; Verhoeven, Ludo
2014-01-01
This study examined the behavioral, personality, and communicative predictors of acceptance and popularity in 608 early adolescents. Data were collected with sociometric methods and ratings in 30 sixth-grade classrooms. Hierarchical regressions were run to predict acceptance and popularity from prosocial, antisocial, and withdrawn behavior,…
Kawaguchi, Masahumi; Sugahara, Yuki; Watanabe, Tomoe; Irie, Kouta; Ishida, Minoru; Kurokawa, Daisuke; Kitamura, Shin-Ichi; Takata, Hiromi; Handoh, Itsuki C; Nakayama, Kei; Murakami, Yasunori
2011-08-01
Spills of heavy oil (HO) over the oceans have been proven to have an adverse effect on marine life. It has been hypothesized that exposure of early larvae of sinking eggs to HO leads largely to normal morphology, whereas abnormal organization of the developing neural scaffold is likely to be found. HO-induced disruption of the nervous system, which controls animal behavior, may in turn cause abnormalities in the swimming behavior of hatched larvae. To clarify the toxicological effects of HO, we performed exposure experiments and morphological and behavioral analyses in pufferfish (Takifugu rubripes) larvae. Fertilized eggs of pufferfish were exposed to 50 mg/L of HO for 8 days and transferred to fresh seawater before hatching. The hatched larvae were observed for their swimming behavior, morphological appearance, and construction of muscles and nervous system. In HO-exposed larvae, we did not detect any anomaly of body morphology. However, they showed an abnormal swimming pattern and disorganized midbrain, a higher center controlling movement. Our results suggest that HO-exposed fishes suffer developmental disorder of the brain that triggers an abnormal swimming behavior and that HO may be selectively toxic to the brain and cause physical disability throughout the life span of these fishes.
Early Childhood Behavior Problems and the Gender Gap in Educational Attainment in the United States
Owens, Jayanti
2016-01-01
Why do men in the United States today complete less schooling than women? One reason may be gender differences in early self-regulation and prosocial behaviors. Scholars have found that boys' early behavioral disadvantage predicts their lower average academic achievement during elementary school. In this study, I examine longer-term effects: Do…
Palmer, Shannon B; Musiek, Frank E
2014-01-01
Temporal processing ability has been linked to speech understanding ability and older adults often complain of difficulty understanding speech in difficult listening situations. Temporal processing can be evaluated using gap detection procedures. There is some research showing that gap detection can be evaluated using an electrophysiological procedure. However, there is currently no research establishing gap detection threshold using the N1-P2 response. The purposes of the current study were to 1) determine gap detection thresholds in younger and older normal-hearing adults using an electrophysiological measure, 2) compare the electrophysiological gap detection threshold and behavioral gap detection threshold within each group, and 3) investigate the effect of age on each gap detection measure. This study utilized an older adult group and younger adult group to compare performance on an electrophysiological and behavioral gap detection procedure. The subjects in this study were 11 younger, normal-hearing adults (mean = 22 yrs) and 11 older, normal-hearing adults (mean = 64.36 yrs). All subjects completed an adaptive behavioral gap detection procedure in order to determine their behavioral gap detection threshold (BGDT). Subjects also completed an electrophysiologic gap detection procedure to determine their electrophysiologic gap detection threshold (EGDT). Older adults demonstrated significantly larger gap detection thresholds than the younger adults. However, EGDT and BGDT were not significantly different in either group. The mean difference between EGDT and BGDT for all subjects was 0.43 msec. Older adults show poorer gap detection ability when compared to younger adults. However, this study shows that gap detection thresholds can be measured using evoked potential recordings and yield results similar to a behavioral measure. American Academy of Audiology.
Takayama, K.; Jansen, R.M.C.; Verstappen, F.W.A.; Bouwmeester, H.J.
2008-01-01
Early detection of plant stress is a key to effective plant management for crop production. Drought stress is a common abiotic stress in crop production and early detection of drought stress allows us to improve water usage effi ciency and crop quality by demandbased irrigation. This study
The academic consequences of early childhood problem behaviors.
Turney, Kristin; McLanahan, Sara
2015-11-01
Social/emotional skills in early childhood are associated with education, labor market, and family formation outcomes throughout the life course. One explanation for these associations is that poor social/emotional skills in early childhood interfere with the development of cognitive skills. In this paper, we use data from the Fragile Families and Child Wellbeing Study (N=2302) to examine how the timing of social/emotional skills-measured as internalizing, externalizing, and attention problem behaviors in early childhood-is associated with cognitive test scores in middle childhood. Results show that externalizing problems at age 3 and attention problems at age 5, as well as externalizing and attention problems at both ages 3 and 5, are associated with poor cognitive development in middle childhood, net of a wide array of control variables and prior test scores. Surprisingly, maternal engagement at age five does not mediate these associations. Copyright © 2015 Elsevier Inc. All rights reserved.
Behavioral and neural plasticity caused by early social experiences: the case of the honeybee
Directory of Open Access Journals (Sweden)
Andrés eArenas
2013-08-01
Full Text Available Cognitive experiences during the early stages of life play an important role in shaping future behavior. Behavioral and neural long-term changes after early sensory and associative experiences have been recently reported in the honeybee. This invertebrate is an excellent model for assessing the role of precocious experiences on later behavior due to its extraordinarily tuned division of labor based on age polyethism. These studies are mainly focused on the role and importance of experiences occurred during the first days of the adult lifespan, their impact on foraging decisions and their contribution to coordinate food gathering. Odor-rewarded experiences during the first days of honeybee adulthood alter the responsiveness to sucrose, making young hive bees more sensitive to assess gustatory features about the nectar brought back to the hive and affecting the dynamic of the food transfers and the propagation of food-related information within the colony as well. Early olfactory experiences lead to stable and long-term associative memories that can be successfully recalled after many days, even at foraging ages. Also they improve memorizing of new associative learning events later in life. The establishment of early memories promotes stable reorganization of the olfactory circuits inducing structural and functional changes in the antennal lobe. Early rewarded experiences have relevant consequences at the social level too, biasing dance and trophallaxis partner choice and affecting recruitment. Here, we revised recent results in bees´ physiology, behavior and sociobiology to depict how the early experiences affect their cognition abilities and neural-related circuits.
Indices allowing early detection of chronic pulmonary emphysema
International Nuclear Information System (INIS)
Yamaguchi, Kazuhiro; Soejima, Kenzo; Koda, Eiichi; Mori, Masaaki; Matsubara, Hiroaki; Oguma, Tsuyoshi; Kawamura, Masahumi; Kobayashi, Koichi
1996-01-01
To establish criteria allowing early detection of pathologically significant alterations in pulmonary emphysema caused by smoking, pulmonary-function tests and high-resolution computed tomography were done in 104 subjects categorized into three groups: nonsmoking healthy adults, smokers with a normal FEV 1 %, and smokers with a low FEV 1 % (cross-sectional analysis). Fifty-six of the 104 patients underwent pulmonary-function testing and high-resolution computed tomography once per year for 3 years (longitudinal analysis). Cross-sectional and longitudinal analyses showed that abnormalities in functional residual capacity, in single-breath diffusing capacity for carbon monoxide, and in the average tomographic density of sections in the lower lung fields obtained after a deep inspiration could be used to predict whether the disease would reach an advanced stage, even if the patients had no significant symptoms at the time of testing. Relative areas of low-attenuation regions, which were alleged to directly reflect the size of emphysematous areas, appear not to be useful for early detection of pathological emphysema. (author)
Chen, Frances R; Raine, Adrian
2018-01-01
Prior research indicates that early pubertal timing is associated with aggressive behavior, particularly in the context of adversity as postulated in the contextual amplification hypothesis. However, few studies have examined harsh parenting as the context for the effect of early pubertal timing. Even fewer studies have tested the interactive effect of early pubertal timing and positive parenting on aggressive behavior. In this study, we tested the proposition that early pubertal timing, contrary to the general conception of it as a vulnerability, indexed susceptibility, and thus early maturing individuals were affected more by their environment in a "for better and for worse" manner. The sample consisted of 411 community-recruited youth aged 11-12 years (51% boys, 80% African Americans). Participants reported Tanner Stages of pubertal development, aggressive behavior and harsh parenting practice of their parents. Puberty scores were standardized with groups of the same age, sex, and ethnicity, and those that scored the top one-third were defined as early maturing individuals. Parents reported youth's aggressive behavior and their parenting practices towards the youth, including harsh parenting and positive parenting. Early pubertal timing significantly moderated the relationship between harsh/positive parenting and aggressive behavior. Specifically, harsh parenting was positively associated with aggressive behavior to a larger degree among early maturing individuals than among on-time/late-maturing individuals. Positive parenting was inversely associated with aggressive behavior but only among early maturing individuals. This study is the first to document support for early pubertal timing as susceptibility to the environmental influences in relation to aggressive behavior. Theoretical and intervention implications are discussed. © 2017 Wiley Periodicals, Inc.
Early detection monitoring for larval dreissenid mussels: how much plankton sampling is enough?
Counihan, Timothy D; Bollens, Stephen M
2017-03-01
The development of quagga and zebra mussel (dreissenids) monitoring programs in the Pacific Northwest provides a unique opportunity to evaluate a regional invasive species detection effort early in its development. Recent studies suggest that the ecological and economic costs of a dreissenid infestation in the Pacific Northwest of the USA would be significant. Consequently, efforts are underway to monitor for the presence of dreissenids. However, assessments of whether these efforts provide for early detection are lacking. We use information collected from 2012 to 2014 to characterize the development of larval dreissenid monitoring programs in the states of Idaho, Montana, Oregon, and Washington in the context of introduction and establishment risk. We also estimate the effort needed for high-probability detection of rare planktonic taxa in four Columbia and Snake River reservoirs and assess whether the current level of effort provides for early detection. We found that the effort expended to monitor for dreissenid mussels increased substantially from 2012 to 2014, that efforts were distributed across risk categories ranging from high to very low, and that substantial gaps in our knowledge of both introduction and establishment risk exist. The estimated volume of filtered water required to fully census planktonic taxa or to provide high-probability detection of rare taxa was high for the four reservoirs examined. We conclude that the current level of effort expended does not provide for high-probability detection of larval dreissenids or other planktonic taxa when they are rare in these reservoirs. We discuss options to improve early detection capabilities.
Biomarkers for Early Detection of Malignant Mesothelioma: Diagnostic and Therapeutic Application
Energy Technology Data Exchange (ETDEWEB)
Tomasetti, Marco, E-mail: m.tomasetti@univpm.it; Santarelli, Lory [Department of Molecular Pathology and Innovative Therapies, Occupational Medicine, Polytechnic University of Marche, via Tronto 10/A Torrette 60020, Ancona (Italy)
2010-04-14
Malignant mesothelioma (MM) is a rare and aggressive tumour of the serosal cavities linked to asbestos exposure. Improved detection methods for diagnosing this type of neoplastic disease are essential for an early and reliable diagnosis and treatment. Thus, focus has been placed on finding tumour markers for the non-invasive detection of MM. Recently, some blood biomarkers have been described as potential indicators of early and advanced MM cancers. The identification of tumour biomarkers alone or in combination could greatly facilitate the surveillance procedure for cohorts of subjects exposed to asbestos, a common phenomenon in several areas of western countries.
Spatiotemporal detection of unusual human population behavior using mobile phone data.
Directory of Open Access Journals (Sweden)
Adrian Dobra
Full Text Available With the aim to contribute to humanitarian response to disasters and violent events, scientists have proposed the development of analytical tools that could identify emergency events in real-time, using mobile phone data. The assumption is that dramatic and discrete changes in behavior, measured with mobile phone data, will indicate extreme events. In this study, we propose an efficient system for spatiotemporal detection of behavioral anomalies from mobile phone data and compare sites with behavioral anomalies to an extensive database of emergency and non-emergency events in Rwanda. Our methodology successfully captures anomalous behavioral patterns associated with a broad range of events, from religious and official holidays to earthquakes, floods, violence against civilians and protests. Our results suggest that human behavioral responses to extreme events are complex and multi-dimensional, including extreme increases and decreases in both calling and movement behaviors. We also find significant temporal and spatial variance in responses to extreme events. Our behavioral anomaly detection system and extensive discussion of results are a significant contribution to the long-term project of creating an effective real-time event detection system with mobile phone data and we discuss the implications of our findings for future research to this end.
Early response in cognitive-behavior therapy for syndromes of medically unexplained symptoms.
Kleinstäuber, Maria; Lambert, Michael J; Hiller, Wolfgang
2017-05-25
Early dramatic treatment response suggests a subset of patients who respond to treatment before most of it has been offered. These early responders tend to be over represented among those who are well at termination and at follow-up. Early response patterns in psychotherapy have been investigated only for a few of mental disorders so far. The main aim of the current study was to examine early response after five therapy-preparing sessions of a cognitive behavior therapy (CBT) for syndromes of medically unexplained symptoms (MUS). In the context of a randomized, waiting-list controlled trial 48 patients who suffered from ≥3 MUS over ≥6 months received 5 therapy-preparing sessions and 20 sessions of CBT for somatoform disorders. They completed self-report scales of somatic symptom severity (SOMS-7 T), depression (BDI-II), anxiety (BSI), illness anxiety and behavior (IAS) at pre-treatment, after 5 therapy-preparing sessions (FU-5P) and at therapy termination (FU-20 T). The current analyses are based on data from the treatment arm only. Repeated measure ANOVAs revealed a significant decrease of depression (d = 0.34), anxiety (d = 0.60), illness anxiety (d = 0.38) and illness behavior (d = 0.42), but no change of somatic symptom severity (d = -0.03) between pre-treatment and FU-5P. Hierarchical linear multiple regression analyses showed that symptom improvements between pre-treatment and FU-5P predict a better outcome at therapy termination for depression and illness anxiety, after controlling for pre-treatment scores. Mixed-effect ANOVAs revealed significant group*time interaction effects indicating differences in the course of symptom improvement over the therapy between patients who fulfilled a reliable change (i.e., early response) during the 5 therapy-preparing sessions and patients who did not reach an early reliable change. Demographic or clinical variables at pre-treatment were not significantly correlated with differential scores between pre
Ma, Julie; Grogan-Kaylor, Andrew
2017-01-01
Neighborhood and parenting influences on early behavioral outcomes are strongly dependent upon a child's stage of development. However, little research has jointly considered the longitudinal associations of neighborhood and parenting processes with behavior problems in early childhood. To address this limitation, this study explores the…
Child Abuse, Early Maladaptive Schemas, and Risky Sexual Behavior in College Women
Roemmele, Melissa; Messman-Moore, Terri L.
2011-01-01
Previous research suggests that individuals abused as children are more likely to engage in risky sexual behavior during adulthood. The present study examined early maladaptive schemas as mediators of the child abuse-risky sexual behavior relationship among 653 college women. Self-report surveys assessed three forms of child abuse: Sexual,…
Early detection of breast and cervical cancer among indigenous communities in Morelos, Mexico.
Directory of Open Access Journals (Sweden)
Lourdes Campero
2014-09-01
Full Text Available Objective. To analyze the perception in relation to when and how to perform actions for the early detection of breast and cervical cancer among women and health care providers in communities with a high percentage of indigenous population in Morelos, Mexico. Materials and methods. Ten health providers and 58 women users of health services were interviewed which have a first level of attention in five communities. The analysis was developed under the approach of the Grounded Theory. Results. Providers are poorly informed about current regulations and specific clinical indications for the detection of cervical and breast cancer. Few propitiate health literacy under intercultural sensitization. The users have imprecise or wrong notions of the early detection. Conclusions. The need for training in adherence to norms is evident. It is urgent to assume a culturally relevant approach to enable efficient communication and promote health literacy for early detection of these two cancers.
A Cognitive Behavioral Depression Prevention Program for Early Adolescents
Miloseva, Lence
2013-01-01
The aim of this study was to present results of our one year experience with Cognitive Behavioral Psychology Program, in order to contribute to the building of whole school approach and positive psychology preventive mental health problems model. Based on Penn Resilience program (PRP), we modify and create program for early adolescents: how to…
Sugumaran, Sathish; Jamlos, Mohd Faizal; Ahmad, Mohd Noor; Bellan, Chandar Shekar; Schreurs, Dominique
2018-02-15
Early cancer detection and treatment is an emerging and fascinating field of plasmonic nanobiosensor research. It paves to enrich a life without affecting living cells leading to a possible survival of the patient. This review describes a past and future prospect of an integrated research field on nanostructured metamaterials, microwave transmission, surface plasmonic resonance, nanoantennas, and their manifested versatile properties with nano-biosensors towards early cancer detection to preserve human health. Interestingly, (i) microwave transmission shows more advantages than other electromagnetic radiation in reacting with biological tissues, (ii) nanostructured metamaterial (Au) with special properties like size and shape can stimulate plasmonic effects, (iii) plasmonic based nanobiosensors are to explore the efficacy for early cancer tumour detection or single molecular detection and (iv) nanoantenna wireless communication by using microwave inverse scattering nanomesh (MISN) technique instead of conventional techniques can be adopted to characterize the microwave scattered signals from the biomarkers. It reveals that the nanostructured material with plasmonic nanobiosensor paves a fascinating platform towards early detection of cancer tumour and is anticipated to be exploited as a magnificent field in the future. Copyright © 2017 Elsevier B.V. All rights reserved.
Early Detection of Pancreatic Cancer: The Role of Industry in the Development of Biomarkers.
Kenner, Barbara J; Go, Vay Liang W; Chari, Suresh T; Goldberg, Ann E; Rothschild, Laura J
A diagnosis of pancreatic cancer is devastating owing to its poor prognosis, with a 5-year survival rate of only 9%. Currently, most individuals are diagnosed at a late stage when treatment options are limited. Early detection of pancreatic cancer provides the greatest hope for making substantial improvements in survival. The Kenner Family Research Fund in partnership with the American Pancreatic Association has sponsored a series of fora to stimulate discussion and collaboration on early detection of pancreatic cancer. At the first forum in 2014, "Early Detection of Sporadic Pancreatic Cancer Summit Conference," a strategic plan was set forth by an international group of interdisciplinary scientific representatives and subsequently The Strategic Map for Innovation was generated. The current conference report is the third forum in the series, "Early Detection of Pancreatic Cancer: The Role of Industry in the Development of Biomarkers," which was held in Boston, Massachusetts, on October 27, 2016. This report provides an overview of examples of innovative initiatives by industry and confirms the critical need for collaboration among industry, government, research institutions, and advocacy groups in order to make pancreatic cancer more easily detectable in its earlier stages, when it is more treatable.
Portable microfluidic raman system for rapid, label-free early disease signature detection
Energy Technology Data Exchange (ETDEWEB)
Wu, Meiye [Sandia National Laboratories (SNL-CA), Livermore, CA (United States); Davis, Ryan Wesley [Sandia National Laboratories (SNL-CA), Livermore, CA (United States); Hatch, Anson [Sandia National Laboratories (SNL-CA), Livermore, CA (United States)
2015-09-01
In the early stages of infection, patients develop non-specific or no symptoms at all. While waiting for identification of the infectious agent, precious window of opportunity for early intervention is lost. The standard diagnostics require affinity reagents and sufficient pathogen titers to reach the limit of detection. In the event of a disease outbreak, triaging the at-risk population rapidly and reliably for quarantine and countermeasure is more important than the identification of the pathogen by name. To expand Sandia's portfolio of Biological threat management capabilities, we will utilize Raman spectrometry to analyze immune subsets in whole blood to rapidly distinguish infected from non-infected, and bacterial from viral infection, for the purpose of triage during an emergency outbreak. The goal of this one year LDRD is to determine whether Raman spectroscopy can provide label-free detection of early disease signatures, and define a miniaturized Raman detection system meeting requirements for low- resource settings.
Early detection strategies for untreated first-episode psychosis
DEFF Research Database (Denmark)
Johannessen, Jan Olav; McGlashan, T H; Larsen, Tor Ketil
2001-01-01
-year inclusion period (1997-2000) are described. It includes targeted information towards the general public, health professionals and schools, and ED teams to recruit appropriate patients into treatment as soon as possible. This plus easy access to psychiatric services via ED teams systematically changed......Some studies in first-episode schizophrenia correlate shorter duration of untreated psychosis (DUP) with better prognosis, suggesting that timing of treatment may be important. A three-site prospective clinical trial in Norway and Denmark is underway to investigate the effect of the timing......-episode cases. The study ultimately will compare early detected with usual detected patients. This paper describes the study's major independent intervention variable, i.e. a comprehensive education and detection system to change DUP in first onset psychosis. System variables and first results from the four...
All-optical photoacoustic imaging and detection of early-stage dental caries
Sampathkumar, Ashwin; Hughes, David A.; Longbottom, Chris; Kirk, Katherine J.
2015-02-01
Dental caries remain one of the most common oral diseases in the world. Current detection methods, such as dental explorer and X-ray radiography, suffer from poor sensitivity and specificity at the earliest (and reversible) stages of the disease because of the small size (tooth decay. This AOPAI system provides a non-contact, non-invasive and non-ionizing means of detecting early-stage dental caries. Ex-vivo teeth exhibiting early-stage, white-spot lesions were imaged using AOPAI. Experimental scans targeted each early-stage lesion and a reference healthy enamel region. Photoacoustic (PA) signals were generated in the tooth using a 532-nm pulsed laser and the light-induced broadband ultrasound signal was detected at the surface of the tooth with an optical path-stabilized Michelson interferometer operating at 532 nm. The measured time-domain signal was spatially resolved and back-projected to form 2D and 3D maps of the lesion using k-wave reconstruction methods. Experimental data collected from areas of healthy and diseased enamel indicate that the lesion generated a larger PA response compared to healthy enamel. The PA-signal amplitude alone was able to detect a lesion on the surface of the tooth. However, time- reversal reconstructions of the PA scans also quantitatively depicted the depth of the lesion. 3D PA reconstruction of the diseased tooth indicated a sub-surface lesion at a depth of 0.6 mm, in addition to the surface lesion. These results suggest that our AOPAI system is well suited for rapid clinical assessment of early-stage dental caries. An overview of the AOPAI system, fine-resolution PA and histology results of diseased and healthy teeth will be presented.
Genetics and Early Detection in Idiopathic Pulmonary Fibrosis
Putman, Rachel K.; Rosas, Ivan O.
2014-01-01
Genetic studies hold promise in helping to identify patients with early idiopathic pulmonary fibrosis (IPF). Recent studies using chest computed tomograms (CTs) in smokers and in the general population have demonstrated that imaging abnormalities suggestive of an early stage of pulmonary fibrosis are not uncommon and are associated with respiratory symptoms, physical examination abnormalities, and physiologic decrements expected, but less severe than those noted in patients with IPF. Similarly, recent genetic studies have demonstrated strong and replicable associations between a common promoter polymorphism in the mucin 5B gene (MUC5B) and both IPF and the presence of abnormal imaging findings in the general population. Despite these findings, it is important to note that the definition of early-stage IPF remains unclear, limited data exist to definitively connect abnormal imaging findings to IPF, and genetic studies assessing early-stage pulmonary fibrosis remain in their infancy. In this perspective we provide updated information on interstitial lung abnormalities and their connection to IPF. We summarize information on the genetics of pulmonary fibrosis by focusing on the recent genetic findings of MUC5B. Finally, we discuss the implications of these findings and suggest a roadmap for the use of genetics in the detection of early IPF. PMID:24547893
Moss, Ellen; Bureau, Jean-Francois; Beliveau, Marie-Julie; Zdebik, Magdalena; Lepine, Suzanne
2009-01-01
The objective of the present study was to examine associations between children's attachment behavior at early school-age, dimensions of narrative performance, and behavior problems as assessed in middle childhood. Children's attachment patterns with mother were assessed at age 6 (N = 127) using the Main and Cassidy (1988) separation--reunion…
An Early Fire Detection Algorithm Using IP Cameras
Directory of Open Access Journals (Sweden)
Hector Perez-Meana
2012-05-01
Full Text Available The presence of smoke is the first symptom of fire; therefore to achieve early fire detection, accurate and quick estimation of the presence of smoke is very important. In this paper we propose an algorithm to detect the presence of smoke using video sequences captured by Internet Protocol (IP cameras, in which important features of smoke, such as color, motion and growth properties are employed. For an efficient smoke detection in the IP camera platform, a detection algorithm must operate directly in the Discrete Cosine Transform (DCT domain to reduce computational cost, avoiding a complete decoding process required for algorithms that operate in spatial domain. In the proposed algorithm the DCT Inter-transformation technique is used to increase the detection accuracy without inverse DCT operation. In the proposed scheme, firstly the candidate smoke regions are estimated using motion and color smoke properties; next using morphological operations the noise is reduced. Finally the growth properties of the candidate smoke regions are furthermore analyzed through time using the connected component labeling technique. Evaluation results show that a feasible smoke detection method with false negative and false positive error rates approximately equal to 4% and 2%, respectively, is obtained.
The continuing challenge of early detection of acute otitis media in ...
African Journals Online (AJOL)
Objective: The aim of the study is to highlight the clinical problem of acute otitis media in children as seen in Uyo with particular reference to difficulties of early detection over a 6 year period (1999-2004). Methodology: A six-year retrospective study (1999-2004) was carried out to evaluate the clinical presentation and early ...
O'Neill, Lotte Dyhrberg; Morcke, Anne Mette; Eika, Berit
2016-12-01
Early identification and support of strugglers in medical education is generally recommended in the research literature, though very little evidence of the diagnostic qualities of early teacher judgments in medical education currently exists. The aim of this study was to examine the validity of early diagnosis of struggling in medical school based on informal teacher judgements of in-class behavior. The study design was a prospective cohort study and the outcomes/truth criteria were anatomy failure and medical school drop out. Six weeks into an anatomy course, student tutors attempted to identify medical students, who they reckoned would fail the anatomy course or drop out, based on their everyday experiences with students in a large group educational setting. In addition, they were asked to describe the indicators of struggling they observed. Sixteen student tutors evaluated 429 medical students for signs of struggling. By week six, the student tutors were able to detect approximately 1/4-1/3 of the students who eventually failed or dropped out, and for ¾ of the strugglers they identified, they were correct in their judgments. Informal student tutor's judgements showed incremental validity for both outcomes when controlling for grades obtained in preceeding exams. Lack of participation, lack of commitment, poor academic performance, poor social interactions and general signs of distress were the main indicators of struggling identified. Teachers' informal judgements of in-class behavior may be an untapped source of information in the early identification of struggling medical students with added value above and beyond formal testing.
Self-control and early adolescent antisocial behavior: A longitudinal analysis
de Kemp, R.A.T.; Vermulst, A.A.; Finkenauer, C.; Scholte, R.H.J.; Overbeek, G.; Rommes, E.W.M.; Engels, R.C.M.E.
2009-01-01
The article discusses a three-wave longitudinal study that investigates the relationship between self-control and aggressive and delinquent behavior of early adolescent boys and girls. The sample consists of 1,012 Dutch adolescents (mean age = 12.3) in their first year of secondary education.
A Novel Arc Fault Detector for Early Detection of Electrical Fires.
Yang, Kai; Zhang, Rencheng; Yang, Jianhong; Liu, Canhua; Chen, Shouhong; Zhang, Fujiang
2016-04-09
Arc faults can produce very high temperatures and can easily ignite combustible materials; thus, they represent one of the most important causes of electrical fires. The application of arc fault detection, as an emerging early fire detection technology, is required by the National Electrical Code to reduce the occurrence of electrical fires. However, the concealment, randomness and diversity of arc faults make them difficult to detect. To improve the accuracy of arc fault detection, a novel arc fault detector (AFD) is developed in this study. First, an experimental arc fault platform is built to study electrical fires. A high-frequency transducer and a current transducer are used to measure typical load signals of arc faults and normal states. After the common features of these signals are studied, high-frequency energy and current variations are extracted as an input eigenvector for use by an arc fault detection algorithm. Then, the detection algorithm based on a weighted least squares support vector machine is designed and successfully applied in a microprocessor. Finally, an AFD is developed. The test results show that the AFD can detect arc faults in a timely manner and interrupt the circuit power supply before electrical fires can occur. The AFD is not influenced by cross talk or transient processes, and the detection accuracy is very high. Hence, the AFD can be installed in low-voltage circuits to monitor circuit states in real-time to facilitate the early detection of electrical fires.
A Novel Arc Fault Detector for Early Detection of Electrical Fires
Yang, Kai; Zhang, Rencheng; Yang, Jianhong; Liu, Canhua; Chen, Shouhong; Zhang, Fujiang
2016-01-01
Arc faults can produce very high temperatures and can easily ignite combustible materials; thus, they represent one of the most important causes of electrical fires. The application of arc fault detection, as an emerging early fire detection technology, is required by the National Electrical Code to reduce the occurrence of electrical fires. However, the concealment, randomness and diversity of arc faults make them difficult to detect. To improve the accuracy of arc fault detection, a novel arc fault detector (AFD) is developed in this study. First, an experimental arc fault platform is built to study electrical fires. A high-frequency transducer and a current transducer are used to measure typical load signals of arc faults and normal states. After the common features of these signals are studied, high-frequency energy and current variations are extracted as an input eigenvector for use by an arc fault detection algorithm. Then, the detection algorithm based on a weighted least squares support vector machine is designed and successfully applied in a microprocessor. Finally, an AFD is developed. The test results show that the AFD can detect arc faults in a timely manner and interrupt the circuit power supply before electrical fires can occur. The AFD is not influenced by cross talk or transient processes, and the detection accuracy is very high. Hence, the AFD can be installed in low-voltage circuits to monitor circuit states in real-time to facilitate the early detection of electrical fires. PMID:27070618
Lette, Manon; Stoop, Annerieke; Lemmens, Lidwien C; Buist, Yvette; Baan, Caroline A; de Bruin, Simone R
2017-06-23
A wide range of initiatives on early detection and intervention have been developed to proactively identify problems related to health and wellbeing in (frail) older people, with the aim of supporting them to live independently for as long as possible. Nevertheless, it remains unclear what the best way is to design such initiatives and how older people's needs and preferences can be best addressed. This study aimed to address this gap in the literature by exploring: 1) older people's perspectives on health and living environment in relation to living independently at home; 2) older people's needs and preferences in relation to initiating and receiving care and support; and 3) professionals' views on what would be necessary to enable the alignment of early detection initiatives with older people's own needs and preferences. In this qualitative study, we conducted semi-structured interviews with 36 older people and 19 professionals in proactive elderly care. Data were analysed using the framework analysis method. From the interviews with older people important themes in relation to health and living environment emerged, such as maintaining independence, appropriate housing, social relationships, a supporting network and a sense of purpose and autonomy. Older people preferred to remain self-sufficient, and they would rather not ask for help for psychological or social problems. However, the interviews also highlighted that they were not always able or willing to anticipate future needs, which can hinder early detection or early intervention. At the same time, professionals indicated that older people tend to over-estimate their self-reliance and therefore advocated for early detection and intervention, including social and psychological issues. Older people have a broad range of needs in different domains of life. Discrepancies exist between older people and professionals with regard to their views on timing and scope of early detection initiatives. This study aimed
Farhat, Nadia
2015-06-11
Biofouling is a serious problem in reverse osmosis/nanofiltration (RO/NF) applications, reducing membrane performance. Early detection of biofouling plays an essential role in an adequate anti-biofouling strategy. Presently, fouling of membrane filtration systems is mainly determined by measuring changes in pressure drop, which is not exclusively linked to biofouling. Non-destructive imaging of oxygen concentrations (i) is specific for biological activity of biofilms and (ii) may enable earlier detection of biofilm accumulation than pressure drop. The objective of this study was to test whether transparent luminescent planar O2 optodes, in combination with a simple imaging system, can be used for early non-destructive biofouling detection. This biofouling detection is done by mapping the two-dimensional distribution of O2 concentrations and O2 decrease rates inside a membrane fouling simulator (MFS). Results show that at an early stage, biofouling development was detected by the oxygen sensing optodes while no significant increase in pressure drop was yet observed. Additionally, optodes could detect spatial heterogeneities in biofouling distribution at a micro scale. Biofilm development started mainly at the feed spacer crossings. The spatial and quantitative information on biological activity will lead to better understanding of the biofouling processes, contributing to the development of more effective biofouling control strategies.
Mazza, Julia Rachel; Pingault, Jean-Baptiste; Booij, Linda; Boivin, Michel; Tremblay, Richard; Lambert, Jean; Zunzunegui, Maria Victoria; Côté, Sylvana
2017-01-01
Poverty is a well-established risk factor for behavior problems, yet our understanding of putative family mediators during early childhood (i.e., before age 5 years) is limited. The present study investigated whether the association between poverty and behavior problems during early childhood is mediated simultaneously by perceived parenting,…
Early detection and treatment of Speckled leukoplakia
Directory of Open Access Journals (Sweden)
Selviana Tampoma
2016-12-01
Full Text Available Background: Leukoplakia is one of potentially malignant disorders that can be found on oral mucosa. Speckled leukoplakia is a rare type of leukoplakia with a very high risk of premalignant growth. Approximately 3 % of worldwide population has suffered from leukoplakia, 5-25% of which tend to be malignant leukoplakia. Purpose: This case report was aimed to discuss about early detection of speckled leukoplakia as one of potentially malignant disorders. Case: A 62 year old male patient came with chief complaint of bald and painful tongue since one month ago. The patient has a history of allergic reaction, hypertension, uric acid, and hepatitis B. He had been a heavy smoker since young until 10 years ago. Intra oral examination showed a firm, rough, non scrapable white plaque lesion with a size of 1 x 1.5 cm, surrounded by painful erosion with diffuse boundary. Case Management: Based on cytology examination, the patient was reffered to oncologist to get an excisional biopsy. Next, the patient succesfully underwent the excisional biopsy and came for control. The results showed the healing process of the lesion with a minimal complaint of bald tongue, especially when eating spicy or hot meal. To improve healing process, the patient then was given an antibacterial mouth rinse containing zinc and mulvitamin. Conclusion: Speckled leukoplakia could show high malignant transformation rate, therefore, early detection and treatment are necessary.
A Context-Aware EEG Headset System for Early Detection of Driver Drowsiness
Directory of Open Access Journals (Sweden)
Gang Li
2015-08-01
Full Text Available Driver drowsiness is a major cause of mortality in traffic accidents worldwide. Electroencephalographic (EEG signal, which reflects the brain activities, is more directly related to drowsiness. Thus, many Brain-Machine-Interface (BMI systems have been proposed to detect driver drowsiness. However, detecting driver drowsiness at its early stage poses a major practical hurdle when using existing BMI systems. This study proposes a context-aware BMI system aimed to detect driver drowsiness at its early stage by enriching the EEG data with the intensity of head-movements. The proposed system is carefully designed for low-power consumption with on-chip feature extraction and low energy Bluetooth connection. Also, the proposed system is implemented using JAVA programming language as a mobile application for on-line analysis. In total, 266 datasets obtained from six subjects who participated in a one-hour monotonous driving simulation experiment were used to evaluate this system. According to a video-based reference, the proposed system obtained an overall detection accuracy of 82.71% for classifying alert and slightly drowsy events by using EEG data alone and 96.24% by using the hybrid data of head-movement and EEG. These results indicate that the combination of EEG data and head-movement contextual information constitutes a robust solution for the early detection of driver drowsiness.
Social Network Sensors for Early Detection of Contagious Outbreaks
Christakis, Nicholas A.; Fowler, James H.
2010-01-01
Current methods for the detection of contagious outbreaks give contemporaneous information about the course of an epidemic at best. It is known that individuals near the center of a social network are likely to be infected sooner during the course of an outbreak, on average, than those at the periphery. Unfortunately, mapping a whole network to identify central individuals who might be monitored for infection is typically very difficult. We propose an alternative strategy that does not require ascertainment of global network structure, namely, simply monitoring the friends of randomly selected individuals. Such individuals are known to be more central. To evaluate whether such a friend group could indeed provide early detection, we studied a flu outbreak at Harvard College in late 2009. We followed 744 students who were either members of a group of randomly chosen individuals or a group of their friends. Based on clinical diagnoses, the progression of the epidemic in the friend group occurred 13.9 days (95% C.I. 9.9–16.6) in advance of the randomly chosen group (i.e., the population as a whole). The friend group also showed a significant lead time (pepidemic, a full 46 days before the peak in daily incidence in the population as a whole. This sensor method could provide significant additional time to react to epidemics in small or large populations under surveillance. The amount of lead time will depend on features of the outbreak and the network at hand. The method could in principle be generalized to other biological, psychological, informational, or behavioral contagions that spread in networks. PMID:20856792
Shernoff, Elisa; Frazier, Stacy; Lisetti, Christine; Buche, Cedric; Lunn, Stephanie; Brown, Claire; Delmarre, Alban; Chou, Tommy; Gabbard, Joseph; Morgan, Emily
2018-01-01
Early career teachers working in high poverty schools face of overwhelming challenges navigating disruptive behaviors with studies highlighting behavior problems as one of the strongest predictors of turnover (Ingersoll & Smith, 2003). Simulation-based technology leverages important pedagogical strengths (e.g., realistic training context,…
Lehtonen, Minna; Hulten, Annika; Rodriguez-Fornells, Antoni; Cunillera, Toni; Tuomainen, Jyrki; Laine, Matti
2012-01-01
We investigated the behavioral and brain responses (ERPs) of bilingual word recognition to three fundamental psycholinguistic factors, frequency, morphology, and lexicality, in early bilinguals vs. monolinguals. Earlier behavioral studies have reported larger frequency effects in bilinguals' nondominant vs. dominant language and in some studies…
National Aeronautics and Space Administration — Crew behavioral health and performance are of high importance, especially for long duration exploration missions. Early detection of stress and effective options for...
Comin, Arianna; Stegeman, Arjan; Marangon, Stefano; Klinkenberg, Don
2012-01-01
In recent years, the early detection of low pathogenicity avian influenza (LPAI) viruses in poultry has become increasingly important, given their potential to mutate into highly pathogenic viruses. However, evaluations of LPAI surveillance have mainly focused on prevalence and not on the ability to act as an early warning system. We used a simulation model based on data from Italian LPAI epidemics in turkeys to evaluate different surveillance strategies in terms of their performance as early warning systems. The strategies differed in terms of sample size, sampling frequency, diagnostic tests, and whether or not active surveillance (i.e., routine laboratory testing of farms) was performed, and were also tested under different epidemiological scenarios. We compared surveillance strategies by simulating within-farm outbreaks. The output measures were the proportion of infected farms that are detected and the farm reproduction number (R(h)). The first one provides an indication of the sensitivity of the surveillance system to detect within-farm infections, whereas R(h) reflects the effectiveness of outbreak detection (i.e., if detection occurs soon enough to bring an epidemic under control). Increasing the sampling frequency was the most effective means of improving the timeliness of detection (i.e., it occurs earlier), whereas increasing the sample size increased the likelihood of detection. Surveillance was only effective in preventing an epidemic if actions were taken within two days of sampling. The strategies were not affected by the quality of the diagnostic test, although performing both serological and virological assays increased the sensitivity of active surveillance. Early detection of LPAI outbreaks in turkeys can be achieved by increasing the sampling frequency for active surveillance, though very frequent sampling may not be sustainable in the long term. We suggest that, when no LPAI virus is circulating yet and there is a low risk of virus introduction
Directory of Open Access Journals (Sweden)
Arianna Comin
Full Text Available In recent years, the early detection of low pathogenicity avian influenza (LPAI viruses in poultry has become increasingly important, given their potential to mutate into highly pathogenic viruses. However, evaluations of LPAI surveillance have mainly focused on prevalence and not on the ability to act as an early warning system. We used a simulation model based on data from Italian LPAI epidemics in turkeys to evaluate different surveillance strategies in terms of their performance as early warning systems. The strategies differed in terms of sample size, sampling frequency, diagnostic tests, and whether or not active surveillance (i.e., routine laboratory testing of farms was performed, and were also tested under different epidemiological scenarios. We compared surveillance strategies by simulating within-farm outbreaks. The output measures were the proportion of infected farms that are detected and the farm reproduction number (R(h. The first one provides an indication of the sensitivity of the surveillance system to detect within-farm infections, whereas R(h reflects the effectiveness of outbreak detection (i.e., if detection occurs soon enough to bring an epidemic under control. Increasing the sampling frequency was the most effective means of improving the timeliness of detection (i.e., it occurs earlier, whereas increasing the sample size increased the likelihood of detection. Surveillance was only effective in preventing an epidemic if actions were taken within two days of sampling. The strategies were not affected by the quality of the diagnostic test, although performing both serological and virological assays increased the sensitivity of active surveillance. Early detection of LPAI outbreaks in turkeys can be achieved by increasing the sampling frequency for active surveillance, though very frequent sampling may not be sustainable in the long term. We suggest that, when no LPAI virus is circulating yet and there is a low risk of virus
Early Detection of Viral Hepatitis Can Save Lives - PSA (:30)
Centers for Disease Control (CDC) Podcasts
2010-05-12
Early detection of viral hepatitis can help prevent liver damage, cirrhosis, and even liver cancer. Created: 5/12/2010 by Centers for Disease Control and Prevention (CDC). Date Released: 5/12/2010.
Directory of Open Access Journals (Sweden)
Eugênio Grillo
2004-04-01
: Pediatricians should be prepared to detect behavioral disorders as early as possible. Early detection could improve outcome and/or lead to etiologic diagnosis of mendelian inheritance disorders, allowing genetic counseling. Early symptoms of pervasive developmental disorders, attention deficit/hyperactivity disorder, separation anxiety disorder, generalized anxiety disorder, depression, schizophrenia, the main eating disorders (anorexia nervosa and bulimia nervosa and substance use and abuse are discussed. CONCLUSIONS: The early symptoms of the main behavioral disorders in children and adolescents may appear before the age in which these conditions are currently diagnosed. Detection of early symptoms leads to early intervention, proper orientation about prognosis and, in some cases, to genetic counseling. The comorbidity among these disorders is frequent, and the symptoms of one disorder could be the first clue to allow the diagnosis of other conditions.
Oosterling, Iris J.; Wensing, Michel; Swinkels, Sophie H.; van der Gaag, Rutger Jan; Visser, Janne C.; Woudenberg, Tim; Minderaa, Ruud; Steenhuis, Mark-Peter; Buitelaar, Jan K.
Background: Few field trials exist on the impact of implementing guidelines for the early detection of autism spectrum disorders (ASD). The aims of the present study were to develop and evaluate a clinically relevant integrated early detection programme based on the two-stage screening approach of
Role of EEG as Biomarker in the Early Detection and Classification of Dementia
Directory of Open Access Journals (Sweden)
Noor Kamal Al-Qazzaz
2014-01-01
Full Text Available The early detection and classification of dementia are important clinical support tasks for medical practitioners in customizing patient treatment programs to better manage the development and progression of these diseases. Efforts are being made to diagnose these neurodegenerative disorders in the early stages. Indeed, early diagnosis helps patients to obtain the maximum treatment benefit before significant mental decline occurs. The use of electroencephalogram as a tool for the detection of changes in brain activities and clinical diagnosis is becoming increasingly popular for its capabilities in quantifying changes in brain degeneration in dementia. This paper reviews the role of electroencephalogram as a biomarker based on signal processing to detect dementia in early stages and classify its severity. The review starts with a discussion of dementia types and cognitive spectrum followed by the presentation of the effective preprocessing denoising to eliminate possible artifacts. It continues with a description of feature extraction by using linear and nonlinear techniques, and it ends with a brief explanation of vast variety of separation techniques to classify EEG signals. This paper also provides an idea from the most popular studies that may help in diagnosing dementia in early stages and classifying through electroencephalogram signal processing and analysis.
FluBreaks: early epidemic detection from Google flu trends.
Pervaiz, Fahad; Pervaiz, Mansoor; Abdur Rehman, Nabeel; Saif, Umar
2012-10-04
The Google Flu Trends service was launched in 2008 to track changes in the volume of online search queries related to flu-like symptoms. Over the last few years, the trend data produced by this service has shown a consistent relationship with the actual number of flu reports collected by the US Centers for Disease Control and Prevention (CDC), often identifying increases in flu cases weeks in advance of CDC records. However, contrary to popular belief, Google Flu Trends is not an early epidemic detection system. Instead, it is designed as a baseline indicator of the trend, or changes, in the number of disease cases. To evaluate whether these trends can be used as a basis for an early warning system for epidemics. We present the first detailed algorithmic analysis of how Google Flu Trends can be used as a basis for building a fully automated system for early warning of epidemics in advance of methods used by the CDC. Based on our work, we present a novel early epidemic detection system, called FluBreaks (dritte.org/flubreaks), based on Google Flu Trends data. We compared the accuracy and practicality of three types of algorithms: normal distribution algorithms, Poisson distribution algorithms, and negative binomial distribution algorithms. We explored the relative merits of these methods, and related our findings to changes in Internet penetration and population size for the regions in Google Flu Trends providing data. Across our performance metrics of percentage true-positives (RTP), percentage false-positives (RFP), percentage overlap (OT), and percentage early alarms (EA), Poisson- and negative binomial-based algorithms performed better in all except RFP. Poisson-based algorithms had average values of 99%, 28%, 71%, and 76% for RTP, RFP, OT, and EA, respectively, whereas negative binomial-based algorithms had average values of 97.8%, 17.8%, 60%, and 55% for RTP, RFP, OT, and EA, respectively. Moreover, the EA was also affected by the region's population size
EWAS: Modeling Application for Early Detection of Terrorist Threats
Qureshi, Pir Abdul Rasool; Memon, Nasrullah; Wiil, Uffe Kock
This paper presents a model and system architecture for an early warning system to detect terrorist threats. The paper discusses the shortcomings of state-of-the-art systems and outlines the functional requirements that must to be met by an ideal system working in the counterterrorism domain. The concept of generation of early warnings to predict terrorist threats is presented. The model relies on data collection from open data sources, information retrieval, information extraction for preparing structured workable data sets from available unstructured data, and finally detailed investigation. The conducted investigation includes social network analysis, investigative data mining, and heuristic rules for the study of complex covert networks for terrorist threat indication. The presented model and system architecture can be used as a core framework for an early warning system.
Early Detection and Identification of Anomalies in Chemical Regime
International Nuclear Information System (INIS)
Figedy, Stefan; Smiesko, Ivan
2011-01-01
This paper provides a brief information about the basic features of a newly developed diagnostic system for early detection and identification of anomalies incoming in the water chemistry regime of the primary and secondary circuit of VVER-440 reactor. This system, called SACHER (System of Analysis of CHEmical Regime) is being installed within the major modernization project at the NPP-V2 Bohunice in the Slovak Republic. System SACHER has been developed fully in MATLAB environment. The availability of prompt information about the chemical conditions of the primary and secondary circuit is very important to prevent the undue corrosion and deposit build-up. The typical chemical information systems that exist and work at the NPPs give the user values of the measured quantities together with their time trends and other derived values. It is then the experienced user's role to recognize the situation the monitored process is in and make the subsequent decisions and take the measures. The SACHER system, based on the computational intelligence techniques, inserts the elements of intelligence into the overall chemical information system. It has the modular structure with the following most important modules: normality module- its aim is to recognize that the process starts to deviate from the normal one and serves as the early warning to the staff to take the adequate measures, fuzzy identification module- its aim is to identify the anomaly on the basis of a set of fuzzy rules, time-prediction module- its aim is to predict the behavior/trend of selected chemical quantities 8 hours ahead in 15 min step from the moment of request, validation module- its aim is to validate the measured quantities, trend module- this module serves for showing the trends of the acquired quantities
[Early detection of cervical cancer in Chile: time for change].
Léniz Martelli, Javiera; Van De Wyngard, Vanessa; Lagos, Marcela; Barriga, María Isabel; Puschel Illanes, Klaus; Ferreccio Readi, Catterina
2014-08-01
Mortality rates for cervical cancer (CC) in Chile are higher than those of developed countries and it has an unequal socioeconomic distribution. The recognition of human papilloma virus (HPV) as the causal agent of cervical cancer in the early 80's changed the prevention paradigms. Current goals are to prevent HPV infection by vaccination before the onset of sexual activity and to detect HPV infection in women older than 30 years. This article reviews CC prevention and early detection methods, discusses relevant evidence to support a change in Chile and presents an innovation proposal. A strategy of primary screening based on HPV detection followed by triage of HPV-positive women by colposcopy in primary care or by cytological or molecular reflex testing is proposed. Due to the existence in Chile of a well-organized nationwide CC prevention program, the replacement of a low-sensitivity screening test such as the Papanicolau test with a highly sensitive one such as HPV detection, could quickly improve the effectiveness of the program. The program also has a network of personnel qualified to conduct naked-eye inspections of the cervix, who could easily be trained to perform triage colposcopy. The incorporation of new prevention strategies could reduce the deaths of Chilean women and correct inequities.
Dyadic Processes in Early Marriage: Attributions, Behavior, and Marital Quality
Durtschi, Jared A.; Fincham, Frank D.; Cui, Ming; Lorenz, Frederick O.; Conger, Rand D.
2011-01-01
Marital processes in early marriage are important for understanding couples' future marital quality. Spouses' attributions about a partner's behavior have been linked to marital quality, yet the mechanisms underlying this association remain largely unknown. When we used couple data from the Family Transitions Project (N = 280 couples) across the…
Mrug, Sylvie; Windle, Michael
2009-01-01
This study examined the extent to which antisocial behavior, parenting, and school connectedness moderated the association between peer deviancy in preadolescence and externalizing problems in early adolescence. The participants included 500 boys and girls, most of them African Americans. Peer deviancy was measured with teacher reports of…
Early detection of infantile endocarditis by gallium-67 scintigraphy
Energy Technology Data Exchange (ETDEWEB)
Hardoff, R; Luder, A S; Lorber, A; Dembo, L
1989-04-01
An infant with suspected soft tissue infection of the knee was studied by /sup 67/Ga-scintigraphy. In addition to knee and hip joint increased activity, heart uptake was also demonstrated prior to the development of clinical signs of endocarditis. The early detection and treatment resulted in satisfactory clinical resolution.
Early detection of infantile endocarditis by gallium-67 scintigraphy
International Nuclear Information System (INIS)
Hardoff, R.; Luder, A.S.; Lorber, A.; Dembo, L.; Technion-Israel Inst. of Tech., Haifa. Faculty of Medicine)
1989-01-01
An infant with suspected soft tissue infection of the knee was studied by 67 Ga-scintigraphy. In addition to knee and hip joint increased activity, heart uptake was also demonstrated prior to the development of clinical signs of endocarditis. The early detection and treatment resulted in satisfactory clinical resolution. (orig.)
Oral precancerous lesions: Problems of early detection and oral cancer prevention
Gileva, Olga S.; Libik, Tatiana V.; Danilov, Konstantin V.
2016-08-01
The study presents the results of the research in the structure, local and systemic risk factors, peculiarities of the clinical manifestation, and quality of primary diagnosis of precancerous oral mucosa lesions (OMLs). In the study a wide range of OMLs and high (25.4%) proportion of oral precancerous lesions (OPLs) in their structure was indicated. The high percentage of different diagnostic errors and the lack of oncological awareness of dental practitioners, as well as the sharp necessity of inclusion of precancer/cancer early detection techniques into their daily practice were noted. The effectiveness of chemilumenescence system of early OPLs and oral cancer detection was demonstrated, the prospects of infrared thermography as a diagnostic tool were also discussed.
Early detection of tooth wear by en-face optical coherence tomography
Mărcăuteanu, Corina; Negrutiu, Meda; Sinescu, Cosmin; Demjan, Eniko; Hughes, Mike; Bradu, Adrian; Dobre, George; Podoleanu, Adrian G.
2009-02-01
Excessive dental wear (pathological attrition and/or abfractions) is a frequent complication in bruxing patients. The parafunction causes heavy occlusal loads. The aim of this study is the early detection and monitoring of occlusal overload in bruxing patients. En-face optical coherence tomography was used for investigating and imaging of several extracted tooth, with a normal morphology, derived from patients with active bruxism and from subjects without parafunction. We found a characteristic pattern of enamel cracks in patients with first degree bruxism and with a normal tooth morphology. We conclude that the en-face optical coherence tomography is a promising non-invasive alternative technique for the early detection of occlusal overload, before it becomes clinically evident as tooth wear.
Ostrov, Jamie M; Guzzo, Jamie L
2015-01-01
A short-term longitudinal study during early childhood (N = 96; M = 42.80; SD = 7.57) investigated the concurrent and prospective association between prosocial behavior and social dominance. Time-intensive school-based focal child sampling with continuous recording observations of prosocial behavior to peers were conducted and teacher-reports of social dominance were collected. The study documents significant prospective links between prosocial behavior to peers and increases in social dominance over time. Social dominance was not associated with changes in prosocial behavior. The findings extend past empirical work in early childhood and future directions are discussed.
Social Fingerprinting: detection of spambot groups through DNA-inspired behavioral modeling
DEFF Research Database (Denmark)
Cresci, Stefano; Di Pietro, Roberto; Petrocchi, Marinella
2017-01-01
Spambot detection in online social networks is a long-lasting challenge involving the study and design of detection techniques capable of efficiently identifying ever-evolving spammers. Recently, a new wave of social spambots has emerged, with advanced human-like characteristics that allow them...... to go undetected even by current state-of-the-art algorithms. In this paper, we show that efficient spambots detection can be achieved via an in-depth analysis of their collective behaviors exploiting the digital DNA technique for modeling the behaviors of social network users. Inspired by its...... biological counterpart, in the digital DNA representation the behavioral lifetime of a digital account is encoded in a sequence of characters. Then, we define a similarity measure for such digital DNA sequences. We build upon digital DNA and the similarity between groups of users to characterize both genuine...
Borner, Roseane; Bento-Torres, João; Souza, Diego RV; Sadala, Danyelle B; Trevia, Nonata; Farias, José Augusto; Lins, Nara; Passos, Aline; Quintairos, Amanda; Diniz, José Antônio; Perry, Victor Hugh; Vasconcelos, Pedro Fernando; Cunningham, Colm
2011-01-01
Behavioral and neuropathological changes have been widely investigated in murine prion disease but stereological based unbiased estimates of key neuropathological features have not been carried out. After injections of ME7 infected (ME7) or normal brain homogenates (NBH) into dorsal CA1 of albino Swiss mice and C57BL6, we assessed behavioral changes on hippocampal-dependent tasks. We also estimated by optical fractionator at 15 and 18 weeks post-injections (w.p.i.) the total number of neurons, reactive astrocytes, activated microglia and perineuronal nets (PN) in the polymorphic layer of dentate gyrus (PolDG), CA1 and septum in albino Swiss mice. On average, early behavioral changes in albino Swiss mice start four weeks later than in C57BL6. Cluster and discriminant analysis of behavioral data in albino Swiss mice revealed that four of nine subjects start to change their behavior at 12 w.p.i. and reach terminal stage at 22 w.p.i and the remaining subjects start at 22 w.p.i. and reach terminal stage at 26 w.p.i. Biotinylated dextran-amine BDA-tracer experiments in mossy fiber pathway confirmed axonal degeneration and stereological data showed that early astrocytosis, microgliosis and reduction in the perineuronal nets are independent of a change in the number of neuronal cell bodies. Statistical analysis revealed that the septal region had greater levels of neuroinflammation and extracellular matrix damage than CA1. This stereological and multivariate analysis at early stages of disease in an outbred model of prion disease provided new insights connecting behavioral changes and neuroinflammation and seems to be important to understand the mechanisms of prion disease progression. PMID:21862877
Maternal Predictors of Rejecting Parenting and Early Adolescent Antisocial Behavior
Trentacosta, Christopher J.; Shaw, Daniel S.
2008-01-01
The present study examined relations among maternal psychological resources, rejecting parenting, and early adolescent antisocial behavior in a sample of 231 low-income mothers and their sons with longitudinal assessments from age 18 months to 12 years. The maternal resources examined were age at first birth, aggressive personality, and empathy.…
Trajectories of Family Management Practices and Early Adolescent Behavioral Outcomes
Wang, Ming-Te; Dishion, Thomas J.; Stormshak, Elizabeth A.; Willett, John B.
2011-01-01
Stage-environment fit theory was used to examine the reciprocal lagged relations between family management practices and early adolescent problem behavior during the middle school years. In addition, the potential moderating roles of family structure and of gender were explored. Hierarchical linear modeling was used to describe patterns of growth…
Zachrisson, Henrik Daae; Dearing, Eric
2014-01-01
The sociopolitical context of Norway includes low poverty rates and universal access to subsidized and regulated Early Childhood Education and Care (ECEC). In this context, the association between family income dynamics and changes in early child behavior problems was investigated, as well as whether high quality ECEC buffers children from the effects of income dynamics. In a population-based sample (N = 75,296), within-family changes in income-to-needs predicted changes in externalizing and internalizing problems (from age 18 to 36 months), particularly for lower-income children. For internalizing problems, ECEC buffered the effect of income-to-needs changes. These findings lend further support to the potential benefits of ECEC for children from lower-income families. PMID:25345342
Brain Regions Related to Impulsivity Mediate the Effects of Early Adversity on Antisocial Behavior
Mackey, Scott; Chaarani, Bader; Kan, Kees Jan; Spechler, Philip A.; Orr, Catherine; Banaschewski, Tobias; Barker, Gareth; Bokde, Arun L.W.; Bromberg, Uli; Büchel, Christian; Cattrell, Anna; Conrod, Patricia J.; Desrivières, Sylvane; Flor, Herta; Frouin, Vincent; Gallinat, Jürgen; Gowland, Penny; Heinz, Andreas; Ittermann, Bernd; Paillère Martinot, Marie Laure; Artiges, Eric; Nees, Frauke; Papadopoulos-Orfanos, Dimitri; Poustka, Luise; Smolka, Michael N.; Jurk, Sarah; Walter, Henrik; Whelan, Robert; Schumann, Gunter; Althoff, Robert R.; Garavan, Hugh
2017-01-01
Background Individual differences in impulsivity and early adversity are known to be strong predictors of adolescent antisocial behavior. However, the neurobiological bases of impulsivity and their relation to antisocial behavior and adversity are poorly understood. Methods Impulsivity was estimated
[Early detection of ovarian cancer: tomorrow? A review].
Chene, G; Penault-Llorca, F; Robin, N; Cayre, A; Provencher, D M; Dauplat, J
2013-02-01
Ovarian cancer is the most lethal of the gynaecological malignancies because this «silent killer» is almost always diagnosed at an advanced stage. Precursor lesions have at least been discovered. This review will describe in details specific features of tubal and ovarian preinvasive lesions and the old and novel techniques that could be used for early detection of ovarian cancer. Copyright © 2012 Elsevier Masson SAS. All rights reserved.
Early detection of coolant boiling in research reactors with MTR-type fuel
International Nuclear Information System (INIS)
Kozma, R.; Turkcan, E.; Verhoef, J.P.
1992-10-01
A reactor core monitoring system having the function of early detection of boiling in the coolant channels of research reactors with MTR-type fuel is introduced. The system is based on the on-line analysis of signals of various ex-core and in-core neutron detectors. Early detection of coolant boiling cannot be accomplished by the evaluation of the DC components of these detectors in a number of practically important cases of boiling anomaly. It is shown that the noise component of the available neutron detector signals can be used for the detection of boiling in these cases. Experiments have been carried out at a boiling setup in the research reactor HOR of the Interfaculty Reactor Institute, Technical University of Delft, The Netherlands. (author). 8 refs., 11 figs
Growth monitoring as an early detection tool: a systematic review
Scherdel, P.; Dunkel, L.; Dommelen, P. van; Goulet, O.; Salaün, J.F.; Brauner, R.; Heude, B.; Chalumeau, M.
2016-01-01
Growth monitoring of apparently healthy children aims at early detection of serious underlying disorders. However, existing growth-monitoring practices are mainly based on suboptimal methods, which can result in delayed diagnosis of severe diseases and inappropriate referrals. We did a systematic
Early detection of protozoan grazers in algal biofuel cultures.
Day, John G; Thomas, Naomi J; Achilles-Day, Undine E M; Leakey, Raymond J G
2012-06-01
Future micro-algal biofuels will most likely be derived from open-pond production systems. These are by definition open to "invasion" by grazers, which could devastate micro-algal mass-cultures. There is an urgent requirement for methodologies capable of early detection and control of grazers in dense algal cultures. In this study a model system employing the marine alga Nannochloropsis oculata was challenged by grazers including ciliates, amoebae and a heterotrophic dinoflagellate. A FlowCAM flow-cytometer was used to detect all grazers investigated (size range 80 μm in length) in the presence of algae. Detection limits were 1.4 × 10(8) cells ml(-1) (>0.5 g l(-1) dry wt.). Copyright © 2012 Elsevier Ltd. All rights reserved.
Human Behavior Drift Detection in a Smart Home Environment.
Masciadri, Andrea; Trofimova, Anna A; Matteucci, Matteo; Salice, Fabio
2017-01-01
The proposed system aims at elderly people independent living by providing an early indicator of habits changes which might be relevant for a diagnosis of diseases. It relies on Hidden Markov Model to describe the behavior observing sensors data, while Likelihood Ratio Test gives the variation within different time periods.
Pettit, Gregory S.; Laird, Robert D.; Dodge, Kenneth A.; Bates, John E.; Criss, Michael M.
2001-01-01
Examined early childhood antecedents and behavior-problem correlates of monitoring and psychological control during early adolescence. Found that monitoring was anteceded by proactive parenting style and advantageous family-ecological characteristics. Psychological control was anteceded by harsh parenting and mothers' report of earlier child…
Early Prevention of Severe Neurodevelopmental Behavior Disorders: An Integration
Schroeder, Stephen R.; Courtemanche, Andrea
2012-01-01
There is a very substantial literature over the past 50 years on the advantages of early detection and intervention on the cognitive, communicative, and social-emotional development of infants and toddlers at risk for developmental delay due to premature birth or social disadvantage. Most of these studies excluded children with severe delays or…
SmartMal: a service-oriented behavioral malware detection framework for mobile devices.
Wang, Chao; Wu, Zhizhong; Li, Xi; Zhou, Xuehai; Wang, Aili; Hung, Patrick C K
2014-01-01
This paper presents SmartMal--a novel service-oriented behavioral malware detection framework for vehicular and mobile devices. The highlight of SmartMal is to introduce service-oriented architecture (SOA) concepts and behavior analysis into the malware detection paradigms. The proposed framework relies on client-server architecture, the client continuously extracts various features and transfers them to the server, and the server's main task is to detect anomalies using state-of-art detection algorithms. Multiple distributed servers simultaneously analyze the feature vector using various detectors and information fusion is used to concatenate the results of detectors. We also propose a cycle-based statistical approach for mobile device anomaly detection. We accomplish this by analyzing the users' regular usage patterns. Empirical results suggest that the proposed framework and novel anomaly detection algorithm are highly effective in detecting malware on Android devices.
Strategies for Early Outbreak Detection of Malaria in the Amhara Region of Ethiopia
Nekorchuk, D.; Gebrehiwot, T.; Mihretie, A.; Awoke, W.; Wimberly, M. C.
2017-12-01
Traditional epidemiological approaches to early detection of disease outbreaks are based on relatively straightforward thresholds (e.g. 75th percentile, standard deviations) estimated from historical case data. For diseases with strong seasonality, these can be modified to create separate thresholds for each seasonal time step. However, for disease processes that are non-stationary, more sophisticated techniques are needed to more accurately estimate outbreak threshold values. Early detection for geohealth-related diseases that also have environmental drivers, such as vector-borne diseases, may also benefit from the integration of time-lagged environmental data and disease ecology models into the threshold calculations. The Epidemic Prognosis Incorporating Disease and Environmental Monitoring for Integrated Assessment (EPIDEMIA) project has been integrating malaria case surveillance with remotely-sensed environmental data for early detection, warning, and forecasting of malaria epidemics in the Amhara region of Ethiopia, and has five years of weekly time series data from 47 woredas (districts). Efforts to reduce the burden of malaria in Ethiopia has been met with some notable success in the past two decades with major reduction in cases and deaths. However, malaria remains a significant public health threat as 60% of the population live in malarious areas, and due to the seasonal and unstable transmission patterns with cyclic outbreaks, protective immunity is generally low which could cause high morbidity and mortality during the epidemics. This study compared several approaches for defining outbreak thresholds and for identifying a potential outbreak based on deviations from these thresholds. We found that model-based approaches that accounted for climate-driven seasonality in malaria transmission were most effective, and that incorporating a trend component improved outbreak detection in areas with active malaria elimination efforts. An advantage of these early
Vernon-Feagans, Lynne; Garrett-Peters, Patricia; Willoughby, Michael
2016-01-01
Behavioral regulation is an important school readiness skill that has been linked to early executive function (EF) and later success in learning and school achievement. Although poverty and related risks, as well as negative parenting, have been associated with poorer EF and behavioral regulation, chaotic home environments may also play a role in…
Early forest fire detection using low-energy hydrogen sensors
Directory of Open Access Journals (Sweden)
K. Nörthemann
2013-11-01
Full Text Available Most huge forest fires start in partial combustion. In the beginning of a smouldering fire, emission of hydrogen in low concentration occurs. Therefore, hydrogen can be used to detect forest fires before open flames are visible and high temperatures are generated. We have developed a hydrogen sensor comprising of a metal/solid electrolyte/insulator/semiconductor (MEIS structure which allows an economical production. Due to the low energy consumption, an autarkic working unit in the forest was established. In this contribution, first experiments are shown demonstrating the possibility to detect forest fires at a very early stage using the hydrogen sensor.
Application of Bayesian Methods for Detecting Fraudulent Behavior on Tests
Sinharay, Sandip
2018-01-01
Producers and consumers of test scores are increasingly concerned about fraudulent behavior before and during the test. There exist several statistical or psychometric methods for detecting fraudulent behavior on tests. This paper provides a review of the Bayesian approaches among them. Four hitherto-unpublished real data examples are provided to…
Sanchez-Morillo, Daniel; Fernandez-Granero, Miguel Angel; Jiménez, Antonio León
2015-05-01
COPD places an enormous burden on the healthcare systems and causes diminished health-related quality of life. The highest proportion of human and economic cost is associated with admissions for acute exacerbation of respiratory symptoms (AECOPD). Since prompt detection and treatment of exacerbations may improve outcomes, early detection of AECOPD is a critical issue. This pilot study was aimed to determine whether a mobile health system could enable early detection of AECOPD on a day-to-day basis. A novel electronic questionnaire for the early detection of COPD exacerbations was evaluated during a 6-months field trial in a group of 16 patients. Pattern recognition techniques were applied. A k-means clustering algorithm was trained and validated, and its accuracy in detecting AECOPD was assessed. Sensitivity and specificity were 74.6 and 89.7 %, respectively, and area under the receiver operating characteristic curve was 0.84. 31 out of 33 AECOPD were early identified with an average of 4.5 ± 2.1 days prior to the onset of the exacerbation that was considered the day of medical attendance. Based on the findings of this preliminary pilot study, the proposed electronic questionnaire and the applied methodology could help to early detect COPD exacerbations on a day-to-day basis and therefore could provide support to patients and physicians.
Early Seizure Detection Based on Cardiac Autonomic Regulation Dynamics
Directory of Open Access Journals (Sweden)
Jonatas Pavei
2017-10-01
Full Text Available Epilepsy is a neurological disorder that causes changes in the autonomic nervous system. Heart rate variability (HRV reflects the regulation of cardiac activity and autonomic nervous system tone. The early detection of epileptic seizures could foster the use of new treatment approaches. This study presents a new methodology for the prediction of epileptic seizures using HRV signals. Eigendecomposition of HRV parameter covariance matrices was used to create an input for a support vector machine (SVM-based classifier. We analyzed clinical data from 12 patients (9 female; 3 male; age 34.5 ± 7.5 years, involving 34 seizures and a total of 55.2 h of interictal electrocardiogram (ECG recordings. Data from 123.6 h of ECG recordings from healthy subjects were used to test false positive rate per hour (FP/h in a completely independent data set. Our methodological approach allowed the detection of impending seizures from 5 min to just before the onset of a clinical/electrical seizure with a sensitivity of 94.1%. The FP rate was 0.49 h−1 in the recordings from patients with epilepsy and 0.19 h−1 in the recordings from healthy subjects. Our results suggest that it is feasible to use the dynamics of HRV parameters for the early detection and, potentially, the prediction of epileptic seizures.
Assessment of Knowledge and Perception towards Breast Cancer Prevention and Early Detection
Directory of Open Access Journals (Sweden)
Saleh Hadi Alharbi
2018-01-01
Full Text Available Background: Breast cancer was the ninth leading cause of mortality for women in Saudi Arabia, and to reduce the burden of this disease appropriate information about breast cancer and its’ early detection measures are highly needed. Therefore, the aim of this study was to assess the knowledge and perception of Northern Saudi Arabia people towards breast cancer prevention and early detection. Methodology: In this cross sectional descriptive study, data about breast cancer were obtained from 566 Saudi volunteers living in the city of Hail, Saudi Arabia. Results: When the level of individual’s knowledge about breast cancer was assessed, the majority of the study subjects were found with good knowledge followed by moderate and poor representing 187 (34.3%, 170 (31.2% and 86 (15.8%, respectively. For females, most of them were found with good knowledge followed by moderate and poor constituting 142 (36.1%, 111 (28.2% and 62 (15.8%, respectively. Conclusion: The findings of the present study have delivered evidence that women in Northern Saudi Arabia lack appropriate information about breast cancer and its’ early detection measures.
Early fault detection and on-line diagnosis in real-time environments
Directory of Open Access Journals (Sweden)
Andreas Bye
1993-01-01
Full Text Available This paper describes an approach to fault detection and diagnosis involving the simultaneous employment of quantitative and qualitative reasoning techniques. We show that early identification of process anomalies by means of a separate fault detection module paves the way for a fast and accuratc follow-up diagnosis. The diagnosis task is dramatically simplified because the diagnostic inferences can be performed at the soonest possible time: when the detection module first spots deviations between its calculated reference points and the corresponding measurements from the process.
WearSense: Detecting Autism Stereotypic Behaviors through Smartwatches
Directory of Open Access Journals (Sweden)
Amir Mohammad Amiri
2017-02-01
Full Text Available Autism is a complex developmental disorder that affects approximately 1 in 68 children (according to the recent survey conducted by the Centers for Disease Control and Prevention—CDC in the U.S., and has become the fastest growing category of special education. Each student with autism comes with her or his own unique needs and an array of behaviors and habits that can be severe and which interfere with everyday tasks. Autism is associated with intellectual disability, impairments in social skills, and physical health issues such as sleep and abdominal disturbances. We have designed an Internet-of-Things (IoT framework named WearSense that leverages the sensing capabilities of modern smartwatches to detect stereotypic behaviors in children with autism. In this work, we present a study that used the inbuilt accelerometer of a smartwatch to detect three behaviors, including hand flapping, painting, and sibbing that are commonly observed in children with autism. In this feasibility study, we recruited 14 subjects to record the accelerometer data from the smartwatch worn on the wrist. The processing part extracts 34 different features in each dimension of the three-axis accelerometer, resulting in 102 features. Using and comparing various classification techniques revealed that an ensemble of 40 decision trees has the best accuracy of around 94.6%. This accuracy shows the quality of the data collected from the smartwatch and feature extraction methods used in this study. The recognition of these behaviors by using a smartwatch would be helpful in monitoring individuals with autistic behaviors, since the smartwatch can send the data to the cloud for comprehensive analysis and also to help parents, caregivers, and clinicians make informed decisions.
Nikitopoulos, Jörg; Zohsel, Katrin; Blomeyer, Dorothea; Buchmann, Arlette F; Schmid, Brigitte; Jennen-Steinmetz, Christine; Becker, Katja; Schmidt, Martin H; Esser, Günter; Brandeis, Daniel; Banaschewski, Tobias; Laucht, Manfred
2014-12-01
Insensitive and unresponsive caregiving during infancy has been linked to externalizing behavior problems during childhood and adolescence. The 7-repeat (7r) allele of the dopamine D4 receptor (DRD4) gene has meta-analytically been associated with a heightened susceptibility to adverse as well as supportive environments. In the present study, we examined long-term effects of early maternal care, DRD4 genotype and the interaction thereof on externalizing and internalizing psychopathology during adolescence. As part of an ongoing epidemiological cohort study, early maternal care was assessed at child's age 3 months during a nursing and playing situation. In a sample of 296 offspring, externalizing and internalizing symptoms were assessed using a psychiatric interview conducted at age 15 years. Parents additionally filled out a questionnaire on their children's psychopathic behaviors. Results indicated that adolescents with the DRD4 7r allele who experienced less responsive and stimulating early maternal care exhibited more symptoms of ADHD and CD/ODD as well as higher levels of psychopathic behavior. In accordance with the hypothesis of differential susceptibility, 7r allele carriers showed fewer ADHD symptoms and lower levels of psychopathic behavior when exposed to especially beneficial early caregiving. In contrast, individuals without the DRD4 7r allele proved to be insensitive to the effects of early maternal care. This study replicates earlier findings with regard to an interaction between DRD4 genotype and early caregiving on externalizing behavior problems in preschoolers. It is the first one to imply continuity of this effect until adolescence. Copyright © 2014 Elsevier Ltd. All rights reserved.
Jansen, Jens Einar; Pedersen, Marlene Buch; Hastrup, Lene Halling; Haahr, Ulrik Helt; Simonsen, Erik
2018-04-01
Long duration of untreated psychosis is associated with poor clinical and functional outcomes. However, few systematic attempts have been made to reduce this delay and little is known of service users' experience of early detection efforts. We explored service users' experience of an early detection service and transition to specialized treatment service, including pathway to care, understanding of illness and barriers to adequate assessment and treatment. In-depth interviews were conducted with 10 service users (median age 21, range 18-27, five males and five females) who were diagnosed with a first-episode non-affective psychosis and who were seen by an early detection team (TOP) and currently enrolled in a specialized early intervention service for this disorder (OPUS). Stigma and fear of the 'psychiatric system' were reported as significant barriers to help seeking, while family members were seen as a crucial support. Moreover, the impact of traumatic events on the experience and development of psychosis was highlighted. Finally, participants were relieved by the prospect of receiving help and the early detection team seemed to create a trusting relationship by offering a friendly, 'anti-stigmatized' space, where long-term symptomatology could be disclosed through accurate and validating questioning. Early detection services have two important functions. One is to make accurate assessments and referrals. The other is to instil hope and trust, and to facilitate further treatment by forming an early therapeutic alliance. The findings in this study provide important insights into the way in which early detection efforts and pathways to care are experienced by service users, with direct implications for improving psychiatric services. © 2015 Wiley Publishing Asia Pty Ltd.
Detecting Psychopathy from Thin Slices of Behavior
Fowler, Katherine A.; Lilienfeld, Scott O.; Patrick, Christopher J.
2009-01-01
This study is the first to demonstrate that features of psychopathy can be reliably and validly detected by lay raters from "thin slices" (i.e., small samples) of behavior. Brief excerpts (5 s, 10 s, and 20 s) from interviews with 96 maximum-security inmates were presented in video or audio form or in both modalities combined. Forty raters used…
Employees' intentions to retire early : a case of planned behavior and anticipated work conditions
van Dam, Karen; van der Vorst, Janine D.M.; van der Heijden, Beatrice
2009-01-01
This study investigated the early retirement intentions of 346 older Dutch employees by extending the theory of planned behavior with anticipated work conditions. The results showed that employees who felt a pressure from their spouse to retire early had a strong intention to leave the work force
SmartMal: A Service-Oriented Behavioral Malware Detection Framework for Mobile Devices
Directory of Open Access Journals (Sweden)
Chao Wang
2014-01-01
Full Text Available This paper presents SmartMal—a novel service-oriented behavioral malware detection framework for vehicular and mobile devices. The highlight of SmartMal is to introduce service-oriented architecture (SOA concepts and behavior analysis into the malware detection paradigms. The proposed framework relies on client-server architecture, the client continuously extracts various features and transfers them to the server, and the server’s main task is to detect anomalies using state-of-art detection algorithms. Multiple distributed servers simultaneously analyze the feature vector using various detectors and information fusion is used to concatenate the results of detectors. We also propose a cycle-based statistical approach for mobile device anomaly detection. We accomplish this by analyzing the users’ regular usage patterns. Empirical results suggest that the proposed framework and novel anomaly detection algorithm are highly effective in detecting malware on Android devices.
Early skin tumor detection from microscopic images through image processing
International Nuclear Information System (INIS)
Siddiqi, A.A.; Narejo, G.B.; Khan, A.M.
2017-01-01
The research is done to provide appropriate detection technique for skin tumor detection. The work is done by using the image processing toolbox of MATLAB. Skin tumors are unwanted skin growth with different causes and varying extent of malignant cells. It is a syndrome in which skin cells mislay the ability to divide and grow normally. Early detection of tumor is the most important factor affecting the endurance of a patient. Studying the pattern of the skin cells is the fundamental problem in medical image analysis. The study of skin tumor has been of great interest to the researchers. DIP (Digital Image Processing) allows the use of much more complex algorithms for image processing, and hence, can offer both more sophisticated performance at simple task, and the implementation of methods which would be impossibly by analog means. It allows much wider range of algorithms to be applied to the input data and can avoid problems such as build up of noise and signal distortion during processing. The study shows that few works has been done on cellular scale for the images of skin. This research allows few checks for the early detection of skin tumor using microscopic images after testing and observing various algorithms. After analytical evaluation the result has been observed that the proposed checks are time efficient techniques and appropriate for the tumor detection. The algorithm applied provides promising results in lesser time with accuracy. The GUI (Graphical User Interface) that is generated for the algorithm makes the system user friendly. (author)
Utilizing Weak Indicators to Detect Anomalous Behaviors in Networks
Energy Technology Data Exchange (ETDEWEB)
Egid, Adin Ezra [Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
2018-02-06
We consider the use of a novel weak in- dicator alongside more commonly used weak indicators to help detect anomalous behavior in a large computer network. The data of the network which we are studying in this research paper concerns remote log-in information (Virtual Private Network, or VPN sessions) from the internal network of Los Alamos National Laboratory (LANL). The novel indicator we are utilizing is some- thing which, while novel in its application to data science/cyber security research, is a concept borrowed from the business world. The Her ndahl-Hirschman Index (HHI) is a computationally trivial index which provides a useful heuristic for regulatory agencies to ascertain the relative competitiveness of a particular industry. Using this index as a lagging indicator in the monthly format we have studied could help to detect anomalous behavior by a particular or small set of users on the network. Additionally, we study indicators related to the speed of movement of a user based on the physical location of their current and previous logins. This data can be ascertained from the IP addresses of the users, and is likely very similar to the fraud detection schemes regularly utilized by credit card networks to detect anomalous activity. In future work we would look to nd a way to combine these indicators for use as an internal fraud detection system.
Franken, Aart; Prinstein, Mitchell J; Dijkstra, Jan Kornelis; Steglich, Christian E G; Harakeh, Zeena; Vollebergh, Wilma A M
2016-11-01
This study examined friendship (de-)selection processes in early adolescence. Pubertal development was examined as a potential moderator. It was expected that pubertal development would be associated with an increased tendency for adolescents to select their friends based on their similarities in externalizing behavior engagement (i.e., delinquency, alcohol use, and tobacco use). Data were used from the first three waves of the SNARE (Social Network Analysis of Risk behavior in Early adolescence) study (N = 1144; 50 % boys; M age = 12.7; SD = 0.47), including students who entered the first year of secondary school. The hypothesis was tested using Stochastic Actor-Based Modeling in SIENA. While taking the network structure into account, and controlling for peer influence effects, the results supported this hypothesis. Early adolescents with higher pubertal development were as likely as their peers to select friends based on similarity in externalizing behavior and especially likely to remain friends with peers who had a similar level of externalizing behavior, and thus break friendship ties with dissimilar friends in this respect. As early adolescents are actively engaged in reorganizing their social context, adolescents with a higher pubertal development are especially likely to lose friendships with peers who do not engage in externalizing behavior, thus losing an important source of adaptive social control (i.e., friends who do not engage in externalizing behavior).
O'Connor, Erin E; Scott, Marc A; McCormick, Meghan P; Weinberg, Sharon L
2014-01-01
The current study investigated associations between early mother-child attachment, as well as mother-child and teacher-child relationships, and internalizing and externalizing behaviors in middle childhood. Data from the NICHD Study of Early Child Care and Youth Development were used. Findings from a series of individual growth curve analyses revealed that attachment security was negatively related to internalizing and externalizing behaviors, while insecure/other and avoidant attachment were positively related to internalizing behaviors. In addition, longitudinal associations were found between mother-child and teacher-child relationships and internalizing and externalizing behaviors across middle childhood. Implications for attachment theory are discussed.
Early detection of Alzheimer disease: methods, markers, and misgivings.
Green, R C; Clarke, V C; Thompson, N J; Woodard, J L; Letz, R
1997-01-01
There is at present no reliable predictive test for most forms of Alzheimer disease (AD). Although some information about future risk for disease is available in theory through ApoE genotyping, it is of limited accuracy and utility. Once neuroprotective treatments are available for AD, reliable early detection will become a key component of the treatment strategy. We recently conducted a pilot survey eliciting attitudes and beliefs toward an unspecified and hypothetical predictive test for AD. The survey was completed by a convenience sample of 176 individuals, aged 22-77, which was 75% female, 30% African-American, and of which 33% had a family member with AD. The survey revealed that 69% of this sample would elect to obtain predictive testing for AD if the test were 100% accurate. Individuals were more likely to desire predictive testing if they had an a priori belief that they would develop AD (p = 0.0001), had a lower educational level (p = 0.003), were worried that they would develop AD (p = 0.02), had a self-defined history of depression (p = 0.04), and had a family member with AD (p = 0.04). However, the desire for predictive testing was not significantly associated with age, gender, ethnicity, or income. The desire to obtain predictive testing for AD decreased as the assumed accuracy of the hypothetical test decreased. A better short-term strategy for early detection of AD may be computer-based neuropsychological screening of at-risk (older aged) individuals to identify very early cognitive impairment. Individuals identified in this manner could be referred for diagnostic evaluation and early cases of AD could be identified and treated. A new self-administered, touch-screen, computer-based, neuropsychological screening instrument called Neurobehavioral Evaluation System-3 is described, which may facilitate this type of screening.
Sleep Spindles as Biomarker for Early Detection of Neurodegenerative Disorders
DEFF Research Database (Denmark)
2015-01-01
The present invention relates to the use of sleep spindles as a novel biomarker for early diagnosis of synucleinopathies, in particular Parkinson's disease (PD). The method is based on automatic detection of sleep spindles. The method may be combined with measurements of one or more further...
Guidelines for the early detection of osteoporosis and prediction of ...
African Journals Online (AJOL)
Objective. To assess methods available in clinical practice for the early detection of osteoporosis and prediction of fracture risk, and to set guidelines for their use. To make recommendations regarding cost-effective screening of asymptomatic subjects by physicians. Options. Three methods to predict fracture risk are ...
Early Detection and Localization of Downhole Incidents in Managed Pressure Drilling
DEFF Research Database (Denmark)
Willersrud, Anders; Imsland, Lars; Blanke, Mogens
2015-01-01
Downhole incidents such as kick, lost circulation, pack-off, and hole cleaning issues are important contributors to downtime in drilling. In managed pressure drilling (MPD), operations margins are typically narrower, implying more frequent incidents and more severe consequences. Detection...... and handling of symptoms of downhole drilling contingencies at an early stage are therefore crucial for the reliability and safety of MPD operations. In this paper we describe a method for early detection and localization of such incidents, based on a fit for purpose model of the downhole pressure hydraulics...... successfully been tested on experimental data from a medium-scale horizontal flow loop in Sta- vanger, Norway. The flow loop represents a 700 m borehole with emulation of the following downhole contingencies: drillstring washout, drill bit nozzle plugging, gas influx and fluid loss. In the tests...
Acoustic Emission Behavior of Early Age Concrete Monitored by Embedded Sensors.
Qin, Lei; Ren, Hong-Wei; Dong, Bi-Qin; Xing, Feng
2014-10-02
Acoustic emission (AE) is capable of monitoring the cracking activities inside materials. In this study, embedded sensors were employed to monitor the AE behavior of early age concrete. Type 1-3 cement-based piezoelectric composites, which had lower mechanical quality factor and acoustic impedance, were fabricated and used to make sensors. Sensors made of the composites illustrated broadband frequency response. In a laboratory, the cracking of early age concrete was monitored to recognize different hydration stages. The sensors were also embedded in a mass concrete foundation to localize the temperature gradient cracks.
Early Hearing Detection and Intervention: Can Your Baby Hear?
Centers for Disease Control (CDC) Podcasts
This podcast discusses how important it is that every child receives a hearing screening as soon as possible after birth. It also gives specific ways that parents and health providers can find out if a child has a possible hearing loss and where to get further information. (Created 6/5/2007 by the Early Hearing Detection and Intervention Program, NCBDDD).
Buehler, James W; Hopkins, Richard S; Overhage, J Marc; Sosin, Daniel M; Tong, Van
2004-05-07
The threat of terrorism and high-profile disease outbreaks has drawn attention to public health surveillance systems for early detection of outbreaks. State and local health departments are enhancing existing surveillance systems and developing new systems to better detect outbreaks through public health surveillance. However, information is limited about the usefulness of surveillance systems for outbreak detection or the best ways to support this function. This report supplements previous guidelines for evaluating public health surveillance systems. Use of this framework is intended to improve decision-making regarding the implementation of surveillance for outbreak detection. Use of a standardized evaluation methodology, including description of system design and operation, also will enhance the exchange of information regarding methods to improve early detection of outbreaks. The framework directs particular attention to the measurement of timeliness and validity for outbreak detection. The evaluation framework is designed to support assessment and description of all surveillance approaches to early detection, whether through traditional disease reporting, specialized analytic routines for aberration detection, or surveillance using early indicators of disease outbreaks, such as syndromic surveillance.
Early detection of crop injury from herbicide glyphosate by leaf biochemical parameter inversion
Early detection of crop injury from glyphosate is of significant importance in crop management. In this paper, we attempt to detect glyphosate-induced crop injury by PROSPECT (leaf optical PROperty SPECTra model) inversion through leaf hyperspectral reflectance measurements for non-Glyphosate-Resist...
Kohler, Racquel E; Lee, Clara N; Gopal, Satish; Reeve, Bryce B; Weiner, Bryan J; Wheeler, Stephanie B
2015-01-01
In Malawi, routine breast cancer screening is not available and little is known about women's preferences regarding early detection services. Discrete choice experiments are increasingly used to reveal preferences about new health services; however, selecting appropriate attributes that describe a new health service is imperative to ensure validity of the choice experiment. To identify important factors that are relevant to Malawian women's preferences for breast cancer detection services and to select attributes and levels for a discrete choice experiment in a setting where both breast cancer early detection and choice experiments are rare. We reviewed the literature to establish an initial list of potential attributes and levels for a discrete choice experiment and conducted qualitative interviews with health workers and community women to explore relevant local factors affecting decisions to use cancer detection services. We tested the design through cognitive interviews and refined the levels, descriptions, and designs. Themes that emerged from interviews provided critical information about breast cancer detection services, specifically, that breast cancer interventions should be integrated into other health services because asymptomatic screening may not be practical as an individual service. Based on participants' responses, the final attributes of the choice experiment included travel time, health encounter, health worker type and sex, and breast cancer early detection strategy. Cognitive testing confirmed the acceptability of the final attributes, comprehension of choice tasks, and women's abilities to make trade-offs. Applying a discrete choice experiment for breast cancer early detection was feasible with appropriate tailoring for a low-income, low-literacy African setting.
Pons, Patricia; Jaen, Javier; Catala, Alejandro
2017-01-01
There is growing interest in the automatic detection of animals’ behaviors and body postures within the field of Animal Computer Interaction, and the benefits this could bring to animal welfare, enabling remote communication, welfare assessment, detection of behavioral patterns, interactive and
Directory of Open Access Journals (Sweden)
Kohler RE
2015-10-01
Full Text Available Racquel E Kohler,1 Clara N Lee,2 Satish Gopal,3 Bryce B Reeve,1 Bryan J Weiner,1 Stephanie B Wheeler11Department of Health Policy and Management, Gillings School of Global Public Health, 2Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA; 3UNC Project-Malawi, Tidziwe Center, Lilongwe, MalawiBackground: In Malawi, routine breast cancer screening is not available and little is known about women’s preferences regarding early detection services. Discrete choice experiments are increasingly used to reveal preferences about new health services; however, selecting appropriate attributes that describe a new health service is imperative to ensure validity of the choice experiment.Objective: To identify important factors that are relevant to Malawian women’s preferences for breast cancer detection services and to select attributes and levels for a discrete choice experiment in a setting where both breast cancer early detection and choice experiments are rare.Methods: We reviewed the literature to establish an initial list of potential attributes and levels for a discrete choice experiment and conducted qualitative interviews with health workers and community women to explore relevant local factors affecting decisions to use cancer detection services. We tested the design through cognitive interviews and refined the levels, descriptions, and designs.Results: Themes that emerged from interviews provided critical information about breast cancer detection services, specifically, that breast cancer interventions should be integrated into other health services because asymptomatic screening may not be practical as an individual service. Based on participants’ responses, the final attributes of the choice experiment included travel time, health encounter, health worker type and sex, and breast cancer early detection strategy. Cognitive testing confirmed the acceptability of the final attributes
A Mass Spectrometric Analysis Method Based on PPCA and SVM for Early Detection of Ovarian Cancer.
Wu, Jiang; Ji, Yanju; Zhao, Ling; Ji, Mengying; Ye, Zhuang; Li, Suyi
2016-01-01
Background. Surfaced-enhanced laser desorption-ionization-time of flight mass spectrometry (SELDI-TOF-MS) technology plays an important role in the early diagnosis of ovarian cancer. However, the raw MS data is highly dimensional and redundant. Therefore, it is necessary to study rapid and accurate detection methods from the massive MS data. Methods. The clinical data set used in the experiments for early cancer detection consisted of 216 SELDI-TOF-MS samples. An MS analysis method based on probabilistic principal components analysis (PPCA) and support vector machine (SVM) was proposed and applied to the ovarian cancer early classification in the data set. Additionally, by the same data set, we also established a traditional PCA-SVM model. Finally we compared the two models in detection accuracy, specificity, and sensitivity. Results. Using independent training and testing experiments 10 times to evaluate the ovarian cancer detection models, the average prediction accuracy, sensitivity, and specificity of the PCA-SVM model were 83.34%, 82.70%, and 83.88%, respectively. In contrast, those of the PPCA-SVM model were 90.80%, 92.98%, and 88.97%, respectively. Conclusions. The PPCA-SVM model had better detection performance. And the model combined with the SELDI-TOF-MS technology had a prospect in early clinical detection and diagnosis of ovarian cancer.
Goldberg, Caren S.; Sepulveda, Adam; Ray, Andrew; Baumgardt, Jeremy A.; Waits, Lisette P.
2013-01-01
Early detection of aquatic invasive species is a critical task for management of aquatic ecosystems. This task is hindered by the difficulty and cost of surveying aquatic systems thoroughly. The New Zealand mudsnail (Potamopyrgus antipodarum) is a small, invasive parthenogenic mollusk that can reach very high population densities and severely affects ecosystem functioning. To assist in the early detection of this invasive species, we developed and validated a highly sensitive environmental deoxyribonucleic acid (eDNA) assay. We used a dose–response laboratory experiment to investigate the relationship between New Zealand mudsnail density and eDNA detected through time. We documented that as few as 1 individual in 1.5 L of water for 2 d could be detected with this method, and that eDNA from this species may remain detectable for 21 to 44 d after mudsnail removal. We used the eDNA method to confirm the presence of New Zealand mudsnail eDNA at densities as low as 11 to 144 snails/m2 in a eutrophic 5th-order river. Combined, these results demonstrate the high potential for eDNA surveys to assist with early detection of a widely distributed invasive aquatic invertebrate.
The Effects of Early-Life Predator Stress on Anxiety- and Depression-Like Behaviors of Adult Rats
Directory of Open Access Journals (Sweden)
Lu-jing Chen
2014-01-01
Full Text Available Childhood emotional trauma contributes significantly to certain psychopathologies, such as post-traumatic stress disorder. In experimental animals, however, whether or not early-life stress results in behavioral abnormalities in adult animals still remains controversial. Here, we investigated both short-term and long-term changes of anxiety- and depression-like behaviors of Wistar rats after being exposed to chronic feral cat stress in juvenile ages. The 2-week predator stress decreased spontaneous activities immediately following stress but did not increase depression- or anxiety-like behaviors 4 weeks after the stimulation in adulthood. Instead, juvenile predator stress had some protective effects, though not very obvious, in adulthood. We also exposed genetic depression model rats, Wistar Kyoto (WKY rats, to the same predator stress. In WKY rats, the same early-life predator stress did not enhance anxiety- or depression-like behaviors in both the short-term and long-term. However, the stressed WKY rats showed slightly reduced depression-like behaviors in adulthood. These results indicate that in both normal Wistar rats and WKY rats, early-life predator stress led to protective, rather than negative, effects in adulthood.
The Effects of Early-Life Predator Stress on Anxiety- and Depression-Like Behaviors of Adult Rats
Chen, Lu-jing; Shen, Bing-qing; Liu, Dan-dan; Li, Sheng-tian
2014-01-01
Childhood emotional trauma contributes significantly to certain psychopathologies, such as post-traumatic stress disorder. In experimental animals, however, whether or not early-life stress results in behavioral abnormalities in adult animals still remains controversial. Here, we investigated both short-term and long-term changes of anxiety- and depression-like behaviors of Wistar rats after being exposed to chronic feral cat stress in juvenile ages. The 2-week predator stress decreased spontaneous activities immediately following stress but did not increase depression- or anxiety-like behaviors 4 weeks after the stimulation in adulthood. Instead, juvenile predator stress had some protective effects, though not very obvious, in adulthood. We also exposed genetic depression model rats, Wistar Kyoto (WKY) rats, to the same predator stress. In WKY rats, the same early-life predator stress did not enhance anxiety- or depression-like behaviors in both the short-term and long-term. However, the stressed WKY rats showed slightly reduced depression-like behaviors in adulthood. These results indicate that in both normal Wistar rats and WKY rats, early-life predator stress led to protective, rather than negative, effects in adulthood. PMID:24839560
Multiparametric MRI of the prostate. Method for early detection of prostate cancer?
International Nuclear Information System (INIS)
Schlemmer, Heinz-Peter
2010-01-01
Current approaches for the early detection of prostate cancer are controversially discussed because the disease is characterized by a high incidence rate with a relatively low morbidity rate, availability of only limited prognostic markers, and continued therapy-related morbidity. Conventional morphological MRI does not play a role in early detection since small tumor foci cannot be delineated. However, if there is clinical suspicion for prostate cancer, multiparametric MRI is currently the most accurate method for detecting and characterizing suspicious lesions in the prostate. The potential to identify the so-called 'index lesion', i.e., the tumor area that is most aggressive and determines treatment, is particularly important. This information can increase the accuracy of prostate biopsy and serve as a biomarker for follow-up during active surveillance. The method may considerably contribute to the urgently required separation of clinically significant from clinically insignificant prostate cancers. (orig.)
Bullying Behavior, Parents' Work Hours and Early Adolescents' Perceptions of Time Spent with Parents
Christie-Mizell, C. Andre; Keil, Jacqueline M.; Laske, Mary Therese; Stewart, Jennifer
2011-01-01
This research investigates the relationships among bullying behavior, mother's and father's work hours, and early adolescents' perceptions of whether they spend sufficient time with their parents. In cross-sectional models, we find maternal work hours are modestly associated with increases in bullying behavior. However, in more rigorous change…
Dawson, Geraldine; Jones, Emily J. H.; Merkle, Kristen; Venema, Kaitlin; Lowy, Rachel; Faja, Susan; Kamara, Dana; Murias, Michael; Greenson, Jessica; Winter, Jamie; Smith, Milani; Rogers, Sally J.; Webb, Sara J.
2012-01-01
Objective: A previously published randomized clinical trial indicated that a developmental behavioral intervention, the Early Start Denver Model (ESDM), resulted in gains in IQ, language, and adaptive behavior of children with autism spectrum disorder. This report describes a secondary outcome measurement from this trial, EEG activity. Method:…
Sensors and Instrumentation towards early detection of osteoporosis
Afsarimanesh, Nasrin
2016-07-27
A label-free non-invasive sensing system for detection of C-terminal telopeptide of type-I collagen (CTX-I) has been developed in order to detect bone loss at an early stage, by Electrochemical Impedance Spectroscopy (EIS). A planar interdigital sensor was functionalized by immobilizing streptavidin agarose on the sensing area of the sensor to introduce selectivity for the antigen-antibody solution. Different concentrations of CTX-I were tested using the functionalized sensing surface to capture the target molecule. Preliminary results are provided in the paper assisted with the respective equivalent circuit of the working technology on the sensor using Complex Non-linear Least Square (CNLS). The results are encouraging and will be used to develop a complete system for commercialization complementing the existing systems. © 2016 IEEE.
International Nuclear Information System (INIS)
Champeix, J.; Gabrillargues, D.; Caillaud, D.; Catilina, P.; Catilina, M.J.; Chamoux, A.; Pignide, L.; Puvinel, B.
1989-01-01
The early detection of pleuropulmonary diseases in workers previously exposed to asbestos fibers or silica dusts is of importance. Current radiology often provides insufficient data. Can the CT-scan contribute to an early diagnosis. This technique was performed on both miners exposed to silicosis hazard and asbestos exposed workers [fr
Powers, Christopher J.; Bierman, Karen L.
2012-01-01
Following a large, diverse sample of 4096 children in 27 schools, this study evaluated the impact of three aspects of peer relations, measured concurrently, on subsequent child aggressive-disruptive behavior during early elementary school – peer-dislike, reciprocated friends' aggressiveness, and classroom levels of aggressive-disruptive behavior. Teachers rated child aggressive-disruptive behavior in first and third grade, and peer relations were assessed during second grade. Results indicate...
On the potential of ultrasound elastography for pressure ulcer early detection.
Deprez , Jean-François; Brusseau , Elisabeth; Fromageau , Jérémie; Cloutier , Guy; Basset , Olivier
2011-01-01
International audience; PURPOSE: Pressure ulcers are areas of soft tissue breakdown induced by a sustained mechanical stress that damages the skin and underlying tissues. They represent a considerable burden to the society in terms of health care and cost. Yet, techniques for prevention and detection of pressure ulcers still remain very limited. In this article, the authors investigated the potential of ultrasound elastography for pressure ulcer early detection. Elastography is an imaging tec...
FGF-2 induces behavioral recovery after early adolescent injury to the motor cortex of rats.
Nemati, Farshad; Kolb, Bryan
2011-11-20
Motor cortex injuries in adulthood lead to poor performance in behavioral tasks sensitive to limb movements in the rat. We have shown previously that motor cortex injury on day 10 or day 55 allow significant spontaneous recovery but not injury in early adolescence (postnatal day 35 "P35"). Previous studies have indicated that injection of basic fibroblast growth factor (FGF-2) enhances behavioral recovery after neonatal cortical injury but such effect has not been studied following motor cortex lesions in early adolescence. The present study undertook to investigate the possibility of such behavioral recovery. Rats with unilateral motor cortex lesions were assigned to two groups in which they received FGF-2 or bovine serum albumin (BSA) and were tested in a number of behavioral tests (postural asymmetry, skilled reaching, sunflower seed manipulation, forepaw inhibition in swimming). Golgi-Cox analysis was used to examine the dendritic structure of pyramidal cells in the animals' parietal (layer III) and forelimb (layer V) area of the cortex. The results indicated that rats injected with FGF-2 (but not BSA) showed significant behavioral recovery that was associated with increased dendritic length and spine density. The present study suggests a role for FGF-2 in the recovery of function following injury during early adolescence. Copyright © 2011 Elsevier B.V. All rights reserved.
Energy Technology Data Exchange (ETDEWEB)
Lee, Sang Bum [RECTUSON, Co., LTD, Masan (Korea, Republic of); Roh, Seon Man [Samcheonpo Division, Korea South-East Power Co., Samcheonpo (Korea, Republic of)
2016-06-15
A thermal power plant has a heat exchanger tube to collect and convert the heat generated from the high temperature and pressure steam to energy, but the tubes are arranged in a complex manner. In the event that a leakage occurs in any of these tubes, the high-pressure steam leaks out and may cause the neighboring tubes to rupture. This leakage can finally stop power generation, and hence there is a dire need to establish a suitable technology capable of detecting tube leaks at an early stage even before it occurs. As shown in this paper, by applying acoustic emission (AE) technology in existing boiler tube leak detection equipment (BTLD), we developed a system that detects these leakages early enough and generates an alarm at an early stage to necessitate action; the developed system works better that the existing system used to detect fine leakages. We verified the usability of the system in a 560 MW-class thermal power plant boiler by conducting leak tests by simulating leakages from a variety of hole sizes (⌀2, ⌀5, ⌀10 mm). Results show that while the existing fine leakage detection system does not detect fine leakages of ⌀2 mm and ⌀5 mm, the newly developed system could detect leakages early enough and generate an alarm at an early stage, and it is possible to increase the signal to more than 18 dB.
International Nuclear Information System (INIS)
Lee, Sang Bum; Roh, Seon Man
2016-01-01
A thermal power plant has a heat exchanger tube to collect and convert the heat generated from the high temperature and pressure steam to energy, but the tubes are arranged in a complex manner. In the event that a leakage occurs in any of these tubes, the high-pressure steam leaks out and may cause the neighboring tubes to rupture. This leakage can finally stop power generation, and hence there is a dire need to establish a suitable technology capable of detecting tube leaks at an early stage even before it occurs. As shown in this paper, by applying acoustic emission (AE) technology in existing boiler tube leak detection equipment (BTLD), we developed a system that detects these leakages early enough and generates an alarm at an early stage to necessitate action; the developed system works better that the existing system used to detect fine leakages. We verified the usability of the system in a 560 MW-class thermal power plant boiler by conducting leak tests by simulating leakages from a variety of hole sizes (⌀2, ⌀5, ⌀10 mm). Results show that while the existing fine leakage detection system does not detect fine leakages of ⌀2 mm and ⌀5 mm, the newly developed system could detect leakages early enough and generate an alarm at an early stage, and it is possible to increase the signal to more than 18 dB
Validation of Candidate Serum Ovarian Cancer Biomarkers for Early Detection
Directory of Open Access Journals (Sweden)
Feng Su
2007-01-01
Full Text Available Objective: We have previously analyzed protein profi les using Surface Enhanced Laser Desorption and Ionization Time-Of-Flight Mass Spectroscopy (SELDI-TOF-MS [Kozak et al. 2003, Proc. Natl. Acad. Sci. U.S.A. 100:12343–8] and identified 3 differentially expressed serum proteins for the diagnosis of ovarian cancer (OC [Kozak et al. 2005, Proteomics, 5:4589–96], namely, apolipoprotein A-I (apoA-I, transthyretin (TTR and transferin (TF. The objective of the present study is to determine the efficacy of the three OC biomarkers for the detection of early stage (ES OC, in direct comparison to CA125.Methods: The levels of CA125, apoA-I, TTR and TF were measured in 392 serum samples [82 women with normal ovaries (N, 24 women with benign ovarian tumors (B, 85 women with ovarian tumors of low malignant potential (LMP, 126 women with early stage ovarian cancer (ESOC, and 75 women with late stage ovarian cancer (LSOC], obtained through the GOG and Cooperative Human Tissue Network. Following statistical analysis, multivariate regression models were built to evaluate the utility of the three OC markers in early detection.Results: Multiple logistic regression models (MLRM utilizing all biomarker values (CA125, TTR, TF and apoA-I from all histological subtypes (serous, mucinous, and endometrioid adenocarcinoma distinguished normal samples from LMP with 91% sensitivity (specifi city 92%, and normal samples from ESOC with a sensitivity of 89% (specifi city 92%. MLRM, utilizing values of all four markers from only the mucinous histological subtype showed that collectively, CA125, TTR, TF and apoA-I, were able to distinguish normal samples from mucinous LMP with 90% sensitivity, and further distinguished normal samples from early stage mucinous ovarian cancer with a sensitivity of 95%. In contrast, in serum samples from patients with mucinous tumors, CA125 alone was able to distinguish normal samples from LMP and early stage ovarian cancer with a sensitivity of
Relevant test set using feature selection algorithm for early detection ...
African Journals Online (AJOL)
The objective of feature selection is to find the most relevant features for classification. Thus, the dimensionality of the information will be reduced and may improve classification's accuracy. This paper proposed a minimum set of relevant questions that can be used for early detection of dyslexia. In this research, we ...
Smoke regions extraction based on two steps segmentation and motion detection in early fire
Jian, Wenlin; Wu, Kaizhi; Yu, Zirong; Chen, Lijuan
2018-03-01
Aiming at the early problems of video-based smoke detection in fire video, this paper proposes a method to extract smoke suspected regions by combining two steps segmentation and motion characteristics. Early smoldering smoke can be seen as gray or gray-white regions. In the first stage, regions of interests (ROIs) with smoke are obtained by using two step segmentation methods. Then, suspected smoke regions are detected by combining the two step segmentation and motion detection. Finally, morphological processing is used for smoke regions extracting. The Otsu algorithm is used as segmentation method and the ViBe algorithm is used to detect the motion of smoke. The proposed method was tested on 6 test videos with smoke. The experimental results show the effectiveness of our proposed method over visual observation.
2012-10-04
... DEPARTMENT OF HEALTH AND HUMAN SERVICES Centers for Disease Control and Prevention Breast and Cervical Cancer Early Detection and Control Advisory Committee: Notice of Charter Renewal This gives notice... Cervical Cancer Early Detection and Control Advisory Committee, Department of Health and Human Services...
Promoting early detection of melanoma during the mammography experience
Directory of Open Access Journals (Sweden)
A.K. Rzepecki, BS
2017-12-01
Full Text Available Background: Invasive melanoma, a lethal form of skin cancer, is the seventh most common cancer in women. Factors such as a history of indoor tanning or sunburn and a personal or family history of skin cancer increase a womanâs risk of developing a melanoma. Objective: Because the majority of melanomas occur in patients age 40 years or older, which is the age that is recommended for women to begin screening mammograms, the mammogram experience could be used to promote early detection of melanoma by introducing skin self-examinations (SSE to a population of women who are already invested in preventive health. Methods: This was a pilot and feasibility study that was designed to promote the early detection of melanoma among women who undergo a mammogram at the Lynn Sage Breast Center at the Northwestern Medicine/Prentice Womenâs Hospital in Chicago, Illinois. The study was conducted in three phases: development of the materials, delivery of the program, and assessment of the program effectiveness. Results: Eighty six percent of women with scheduled mammogram appointments participated in the study (n = 560. Among these women, 68% noticed the SSE information in the changing rooms, 78% thought the information applied to them, and 68% identified with at least one of the risk factors for melanoma. Twenty percent of the patients checked their skin in the changing room, 13% noticed a concerning mole, and 60% of those women who noted a concerning lesion stated their intent to see a dermatologist for further evaluation. Conclusion: A large proportion of the women in our study had risk factors for developing a melanoma and noticed the SSE information in the screening center. Placing an intervention to encourage methods for the early detection of melanoma in an outpatient mammography environment is an effective strategy to increase awareness in a large proportion of at-risk women. Keywords: melanoma, skin self-examination, skin cancer screening
Early Adolescent Health Risk Behaviors, Conflict Resolution Strategies, and School Climate
LaRusso, Maria; Selman, Robert
2011-01-01
Drawing upon an ethnically and socio-economically diverse sample of 323 7th grade students from twelve urban schools within one school district, this mixed method study examined early adolescents' self-reported health risk behaviors as related to their conflict resolution strategies and their school's conflict resolution climate. Survey data…
[Validation of three screening tests used for early detection of cervical cancer].
Rodriguez-Reyes, Esperanza Rosalba; Cerda-Flores, Ricardo M; Quiñones-Pérez, Juan M; Cortés-Gutiérrez, Elva I
2008-01-01
to evaluate the validity (sensitivity, specificity, and accuracy) of three screening methods used in the early detection of the cervical carcinoma versus the histopathology diagnosis. a selected sample of 107 women attended in the Opportune Detection of Cervicouterine Cancer Program in the Hospital de Zona 46, Instituto Mexicano del Seguro Social in Durango, during the 2003 was included. The application of Papa-nicolaou, acetic acid test, and molecular detection of human papillomavirus, and histopatholgy diagnosis were performed in all the patients at the time of the gynecological exam. The detection and tipification of the human papillomavirus was performed by polymerase chain reaction (PCR) and analysis of polymorphisms of length of restriction fragments (RFLP). Histopathology diagnosis was considered the gold standard. The evaluation of the validity was carried out by the Bayesian method for diagnosis test. the positive cases for acetic acid test, Papanicolaou, and PCR were 47, 22, and 19. The accuracy values were 0.70, 0.80 and 0.99, respectively. since the molecular method showed a greater validity in the early detection of the cervical carcinoma we considered of vital importance its implementation in suitable programs of Opportune Detection of Cervicouterino Cancer Program in Mexico. However, in order to validate this conclusion, cross-sectional studies in different region of country must be carried out.
Detection of Early Faults in Rotating Machinery Based on Wavelet Analysis
Directory of Open Access Journals (Sweden)
Meng Hee Lim
2013-01-01
Full Text Available This paper explores the application of wavelet analysis for the detection of early changes in rotor dynamics caused by common machinery faults, namely, rotor unbalance and minor blade rubbing conditions. In this paper, the time synchronised wavelet analysis method was formulated and its effectiveness to detect machinery faults at the early stage was evaluated based on signal simulation and experimental study. The proposed method provides a more standardised approach to visualise the current state of rotor dynamics of a rotating machinery by taking into account the effects of time shift, wavelet edge distortion, and system noise suppression. The experimental results showed that this method is able to reveal subtle changes of the vibration signal characteristics in both the frequency content distribution and the amplitude distortion caused by minor rotor unbalance and blade rubbing conditions. Besides, this method also appeared to be an effective tool to diagnose and to discriminate the different types of machinery faults based on the unique pattern of the wavelet contours. This study shows that the proposed wavelet analysis method is promising to reveal machinery faults at early stage as compared to vibration spectrum analysis.
Wolters, N.; Knoors, H.E.T.; Cillessen, A.H.N.; Verhoeven, L.T.W.
2014-01-01
This study examined the behavioral, personality, and communicative predictors of acceptance and popularity in 608 early adolescents. Data were collected with sociometric methods and ratings in 30 sixth-grade classrooms. Hierarchical regressions were run to predict acceptance and popularity from
The Role of Breast Ultrasound in Early Cancer Detection
Directory of Open Access Journals (Sweden)
Huay-Ben Pan
2016-12-01
Full Text Available Ultrasonography (US is currently considered the first-line examination in the detection and characterization of breast lesions including the evaluation of breast cancer. Yet only few single-center cohort studies analyzing breast US in the framework of screening could be identified. In spite of mammography consider as the primary method for screening especially the noteworthy ability of microcalcifications detection. US is good in mass or mass- like lesion detection, especially in the dense breast population that proved by the study of ACRIN 6666. A lobular hypoechoic area; lesion with ductal extension and dilatation; and a hypoechoic nodular lesion with a dilated lactiferous duct leading to the retroareolar region, that were the common ultrasound findings in Ductal carcinoma in situ (DCIS and probably related to nuclear grade of cancer. Computer programs have been developed and approved for use in clinical practice, the application including CAD (computer aided/assisted detection/diagnosis, ABUS (automated breast US, elastography and microbubbles in contrast-enhanced ultrasound. Furthermore the standardized scanning; improving with computer technology implementation and familiar to the picture of DCIS is necessary for progress the competence of early breast cancer detection.
Waller, Rebecca; Gardner, Frances; Shaw, Daniel S.; Dishion, Thomas J.; Wilson, Melvin N.; Hyde, Luke W.
2014-01-01
Objective Youth with callous unemotional (CU) behavior are at risk of developing more severe forms of aggressive and antisocial behavior. Previous cross-sectional studies suggest that associations between parenting and conduct problems are less strong when children or adolescents have high levels of CU behavior, implying lower malleability of behavior compared to low-CU children. The current study extends previous findings by examining the moderating role of CU behavior on associations between parenting and behavior problems in a very young sample, both concurrently and longitudinally, and using a variety of measurement methods. Methods Data were collected from a multi-ethnic, high-risk sample at ages 2–4 (N = 364; 49% female). Parent-reported CU behavior was assessed at age 3 using a previously validated measure (Hyde et al., 2013). Parental harshness was coded from observations of parent-child interactions and parental warmth was coded from five-minute speech samples. Results In this large and young sample, CU behavior moderated cross-sectional correlations between parent-reported and observed warmth and child behavior problems. However, in cross-sectional and longitudinal models testing parental harshness, and longitudinal models testing warmth, there was no moderation by CU behavior. Conclusions The findings are in line with recent literature suggesting parental warmth may be important to child behavior problems at high levels of CU behavior. In general, however, the results of this study contrast with much of the extant literature and suggest that in young children, affective aspects of parenting appear to be related to emerging behavior problems, regardless of the presence of early CU behavior. PMID:24661288
Why Ambiguity Detection Is a Predictor of Early Reading Skill
Wankoff, Lorain Szabo; Cairns, Helen Smith
2009-01-01
This study was designed to determine the contributions of metalinguistic skill and psycholinguistic processing ability to children's ability to detect the ambiguity of sentences and the relationship among all three factors to early reading ability. A total of 20 first graders and 20 second graders were given tasks testing the following abilities:…
Consequences of early postnatal benzodiazepines exposure in rats. II. Social behavior
Directory of Open Access Journals (Sweden)
Anna eMikulecka
2014-05-01
Full Text Available Social behavior represents an integral part of behavioral repertoire of rats particularly sensitive to pharmacological and environmental influences. The aim of the present study was to investigate whether early postnatal clonazepam (CZP exposure can induce age-dependent changes related to expression of social behavior. The drug was administered from postnatal day (P 7 until P11 at daily doses of 0.1, 0.5 and 1.0 mg/kg i.p. We designed three experiments to assess whether exposure to CZP affects social behavior in respect to the age of rats and the test circumstances, specifically their familiarity with test conditions during adolescence (P32, social behavior in juveniles and adolescents (P18-P42 and social behavior in a resident-intruder paradigm. The frequency and duration of a various patterns of social behavior related to play and social investigation not related to play were evaluated. The results showed that CZP postnatal exposure decreased social play behavior regardless of age and familiarity or unfamiliarity of experimental environment but did not affect the social investigation per se. When rats were confronted with an intruder in their home cages intense wrestling and inhibition of genital investigation were found. In conclusion, these findings show that short-term CZP postnatal exposure inhibits social play behavior and alters specific patterns of social behavior in an age and environment related manner
RED Alert – Early warning or detection of global re-emerging infectious disease (RED)
Energy Technology Data Exchange (ETDEWEB)
Deshpande, Alina [Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
2016-07-13
This is the PDF of a presentation for a webinar given by Los Alamos National Laboratory (LANL) on the early warning or detection of global re-emerging infectious disease (RED). First, there is an overview of LANL biosurveillance tools. Then, information is given about RED Alert. Next, a demonstration is given of a component prototype. RED Alert is an analysis tool that can provide early warning or detection of the re-emergence of an infectious disease at the global level, but through a local lens.
Ngen, Ethel J; Wang, Lee; Gandhi, Nishant; Kato, Yoshinori; Armour, Michael; Zhu, Wenlian; Wong, John; Gabrielson, Kathleen L; Artemov, Dmitri
2016-06-01
Stem cell therapies are being developed for radiotherapy-induced brain injuries (RIBI). Magnetic resonance imaging (MRI) offers advantages for imaging transplanted stem cells. However, most MRI cell-tracking techniques employ superparamagnetic iron oxide particles (SPIOs), which are difficult to distinguish from hemorrhage. In current preclinical RIBI models, hemorrhage occurs concurrently with other injury markers. This makes the evaluation of the recruitment of transplanted SPIO-labeled stem cells to injury sites difficult. Here, we developed a RIBI model, with early injury markers reflective of hippocampal dysfunction, which can be detected noninvasively with MRI and behavioral tests. Lesions were generated by sub-hemispheric irradiation of mouse hippocampi with single X-ray beams of 80 Gy. Lesion formation was monitored with anatomical and contrast-enhanced MRI and changes in memory and learning were assessed with fear-conditioning tests. Early injury markers were detected 2 weeks after irradiation. These included an increase in the permeability of the blood-brain barrier, demonstrated by a 92 ± 20 % contrast enhancement of the irradiated versus the non-irradiated brain hemispheres, within 15 min of the administration of an MRI contrast agent. A change in short-term memory was also detected, as demonstrated by a 40.88 ± 5.03 % decrease in the freezing time measured during the short-term memory context test at this time point, compared to that before irradiation. SPIO-labeled stem cells transplanted contralateral to the lesion migrated toward the lesion at this time point. No hemorrhage was detected up to 10 weeks after irradiation. This model can be used to evaluate SPIO-based stem cell-tracking agents, short-term.
Early fault detection and diagnosis for nuclear power plants
International Nuclear Information System (INIS)
Berg, O.; Grini, R.; Masao Yokobayashi
1988-01-01
Fault detection based on a number of reference models is demonstrated. This approach is characterized by the possibility of detecting faults before a traditional alarm system is triggered, even in dynamic situations. Further, by a proper decomposition scheme and use of available process measurements, the problem area can be confined to the faulty process parts. A diagnosis system using knowledge engineering techniques is described. Typical faults are classified and described by rules involving alarm patterns and variations of important parameters. By structuring the fault hypotheses in a hierarchy the search space is limited which is important for real time diagnosis. Introduction of certainty factors improve the flexibility and robustness of diagnosis by exploring parallel problems even when some data are missing. A new display proposal should facilitate the operator interface and the integration of fault detection and diagnosis tasks in disturbance handling. The techniques of early fault detection and diagnosis are presently being implemented and tested in the experimental control room of a full-scope PWR simulator in Halden
Song, Y.; Dubas, J.J.S.; Broekhuizen, M.L.
2015-01-01
Despite a long standing interest in the early development of prosocial behaviors, there is still considerable controversy about their origins and development. While some researchers propose that humans are born with a fundamental motivation to help, share and comfort others (nature), some
Mulshine, James L; Avila, Rick; Yankelevitz, David; Baer, Thomas M; Estépar, Raul San Jose; Ambrose, Laurie Fenton; Aldigé, Carolyn R
2015-05-01
The Prevent Cancer Foundation Lung Cancer Workshop XI: Tobacco-Induced Disease: Advances in Policy, Early Detection and Management was held in New York, NY on May 16 and 17, 2014. The two goals of the Workshop were to define strategies to drive innovation in precompetitive quantitative research on the use of imaging to assess new therapies for management of early lung cancer and to discuss a process to implement a national program to provide high quality computed tomography imaging for lung cancer and other tobacco-induced disease. With the central importance of computed tomography imaging for both early detection and volumetric lung cancer assessment, strategic issues around the development of imaging and ensuring its quality are critical to ensure continued progress against this most lethal cancer.
Núñez-Batalla, Faustino; Jáudenes-Casaubón, Carmen; Sequí-Canet, Jose Miguel; Vivanco-Allende, Ana; Zubicaray-Ugarteche, Jose
2016-01-01
The latest scientific literature considers early diagnosis of deafness as the key element to define the educational and inclusive prognosis of the deaf child, because it allows taking advantage of the critical period of development (0-4 years). Highly significant differences exist between deaf people who have been stimulated early and those who have received late or improper intervention. Early identification of late-onset disorders requires special attention and knowledge on the part of every childcare professional. Programs and additional actions beyond neonatal screening should be designed and planed to ensure that every child with a significant hearing loss is detected early. For this purpose, the CODEPEH would like to highlight the need for continuous monitoring of children's auditory health. Consequently, CODEPEH has drafted the recommendations included in the present document. Copyright © 2015 Elsevier España, S.L.U. and Sociedad Española de Otorrinolaringología y Patología Cérvico-Facial. All rights reserved.
Early detection of Alzheimer's disease using the Cambridge Cognitive Examination (CAMCOG)
Schmand, B.; Walstra, G.; Lindeboom, J.; Teunisse, S.; Jonker, C.
2000-01-01
Dementia screening instruments, such as the Cambridge Cognitive Examination (CAMCOG), measure a variety of cognitive functions. However, memory impairment generally is the first sign of Alzheimer's disease (AD). It seems logical, therefore, to use only memory-related items for the early detection of
Serial cranial ultrasonography or early MRI for detecting preterm brain injury?
Plaisier, Annemarie; Raets, Marlou M A; Ecury-Goossen, Ginette M; Govaert, Paul; Feijen-Roon, Monique; Reiss, Irwin K M; Smit, Liesbeth S; Lequin, Maarten H; Dudink, Jeroen
OBJECTIVE: To investigate detection ability and feasibility of serial cranial ultrasonography (CUS) and early MRI in preterm brain injury. DESIGN: Prospective cohort study. SETTING: Level III neonatal intensive care unit. PATIENTS: 307 infants, born below 29 weeks of gestation. METHODS: Serial CUS
Gupta, Sarita
1990-01-01
Protein-energy malnutrition in early childhood, as seen in many developing countries, influences subsequent behavior and intellectual performance. These impairments are associated with further reduction in fine motor skills and academic performance. (Author)
Early stage detection of β→α transition in Sn by Mössbauer spectroscopy
Energy Technology Data Exchange (ETDEWEB)
Skwarek, Agata, E-mail: askwarek@ite.waw.pl [Institute of Electron Technology Cracow Division, Zabłocie 39, 30-701 Kraków (Poland); Zachariasz, Piotr [Institute of Electron Technology Cracow Division, Zabłocie 39, 30-701 Kraków (Poland); Żukrowski, Jan [AGH University of Science and Technology, Academic Center for Materials and Nanotechnology, A. Mickiewicza 30, 30-059 Kraków (Poland); Synkiewicz, Beata; Witek, Krzysztof [Institute of Electron Technology Cracow Division, Zabłocie 39, 30-701 Kraków (Poland)
2016-10-01
Mössbauer spectroscopy was used for the early stage detection of the β→α transition (tin pest) in Sn matrix. The results were compared with the data from X-ray diffraction and a variance in the sensitivity for both methods has been proven. Mössbauer spectroscopy is more responsive method than XRD to tin pest finding and with possible detection level of even 1.8%. Furthermore, in reference sample, suspected to be pure α-Sn, large content of white tin (β-Sn), even after 6 years of exposure at sub-zero temperature, has been identified. 48% of α-Sn phase but also 52% of non-transferred β-Sn has been still detectable. - Highlights: • β→α transition (tin pest) could completely disintegrate Sn-rich material. • Early stage detection of β→α transition still exhibits substantial difficulties. • Mössbauer spectroscopy is very sensitive method in detection of β→α transition in Sn matrix. • Different values of Mössbauer-Lamb factors for β and α-Sn allow to detect tin pest at the level of 1.8%.
Glypican1 identifies cancer exosomes and facilitates early detection of cancer
Melo, Sonia A.; Luecke, Linda B.; Kahlert, Christoph; Fernandez, Agustin F.; Gammon, Seth T.; Kaye, Judith; LeBleu, Valerie S.; Mittendorf, Elizabeth A.; Weitz, Juergen; Rahbari, Nuh; Reissfelder, Christoph; Pilarsky, Christian; Fraga, Mario F.; Piwnica-Worms, David; Kalluri, Raghu
2016-01-01
Summary Exosomes are lipid bilayer-enclosed extracellular vesicles (EVs) that contain proteins and nucleic acids. They are secreted by all cells and circulate in the blood. Specific detection and isolation of cancer cell-derived exosomes in circulation is currently lacking. Using mass spectrometry analyses, we identified a cell surface proteoglycan, glypican-1 (GPC1), specifically enriched on cancer cell-derived exosomes. GPC1+ circulating exosomes (crExos) were monitored and isolated using flow cytometry from the serum of cancer patients and mice with cancer. GPC1+ crExos were detected in the serum of patients with pancreas cancer with absolute specificity and sensitivity, distinguishing healthy subjects and patients with a benign pancreas disease from patients with early and late stage pancreas cancer. Levels of GPC1+ crExos correlate with tumor burden and survival in patients pre- and post-surgical tumor resection. GPC1+ crExos from patients and from mice with spontaneous pancreas tumors driven by oncogenic KRAS contained RNA with specific KRAS mutation, and it emerges as a reliable biomarker for the detection of PanIN lesions despite negative signal by MRI in mice. GPC1+ crExos may serve as a potential non-invasive diagnostic and screening tool to detect early stages of pancreas cancer to facilitate possible curative surgical therapy. PMID:26106858
Inversion Method for Early Detection of ARES-1 Case Breach Failure
Mackey, Ryan M.; Kulikov, Igor K.; Bajwa, Anupa; Berg, Peter; Smelyanskiy, Vadim
2010-01-01
A document describes research into the problem of detecting a case breach formation at an early stage of a rocket flight. An inversion algorithm for case breach allocation is proposed and analyzed. It is shown how the case breach can be allocated at an early stage of its development by using the rocket sensor data and the output data from the control block of the rocket navigation system. The results are simulated with MATLAB/Simulink software. The efficiency of an inversion algorithm for a case breach location is discussed. The research was devoted to the analysis of the ARES-l flight during the first 120 seconds after the launch and early prediction of case breach failure. During this time, the rocket is propelled by its first-stage Solid Rocket Booster (SRB). If a breach appears in SRB case, the gases escaping through it will produce the (side) thrust directed perpendicular to the rocket axis. The side thrust creates torque influencing the rocket attitude. The ARES-l control system will compensate for the side thrust until it reaches some critical value, after which the flight will be uncontrollable. The objective of this work was to obtain the start time of case breach development and its location using the rocket inertial navigation sensors and GNC data. The algorithm was effective for the detection and location of a breach in an SRB field joint at an early stage of its development.
Utilizing Weak Indicators to Detect Anomalous Behaviors in Networks
Energy Technology Data Exchange (ETDEWEB)
Egid, Adin [Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
2017-11-01
We consider the use of a novel weak in- dicator alongside more commonly used weak indicators to help detect anomalous behavior in a large computer network. The data of the network which we are studying in this research paper concerns remote log-in information (Virtual Private Network, or VPN sessions) from the internal network of Los Alamos National Laboratory (LANL). The novel indicator we are utilizing is some- thing which, while novel in its application to data science/cyber security research, is a concept borrowed from the business world. The Her ndahl-Hirschman Index (HHI) is a computationally trivial index which provides a useful heuristic for regulatory agencies to ascertain the relative competitiveness of a particular industry. Using this index as a lagging indicator in the monthly format we have studied could help to detect anomalous behavior by a particular or small set of users on the network.
Gestsdottir, Steinunn; von Suchodoletz, Antje; Wanless, Shannon B.; Hubert, Blandine; Guimard, Philippe; Birgisdottir, Freyja; Gunzenhauser, Catherine; McClelland, Megan
2014-01-01
Research suggests that behavioral self-regulation skills are critical for early school success, but few studies have explored such links among young children in Europe. This study examined the contribution of early self-regulation to academic achievement gains among children in France, Germany, and Iceland. Gender differences in behavioral…
Heun-Johnson, Hanke; Levitt, Pat
2018-02-01
Early adversity in childhood increases the risk of anxiety, mood, and post-traumatic stress disorders in adulthood, and specific gene-by-environment interactions may increase risk further. A common functional variant in the promoter region of the gene encoding the human MET receptor tyrosine kinase (rs1858830 ' C' allele) reduces expression of MET and is associated with altered cortical circuit function and structural connectivity. Mice with reduced Met expression exhibit changes in anxiety-like and conditioned fear behavior, precocious synaptic maturation in the hippocampus, and reduced neuronal arbor complexity and synaptogenesis. These phenotypes also can be produced independently by early adversity in wild-type mice. The present study addresses the outcome of combining early-life stress and genetic influences that alter timing of maturation on enduring functional and structural phenotypes. Using a model of reduced Met expression ( Met +/- ) and early-life stress from postnatal day 2-9, social, anxiety-like, and contextual fear behaviors in later life were measured. Mice that experienced early-life stress exhibited impairments in social interaction, whereas alterations in anxiety-like behavior and fear learning were driven by Met haploinsufficiency, independent of rearing condition. Early-life stress or reduced Met expression decreased arbor complexity of ventral hippocampal CA1 pyramidal neurons projecting to basolateral amygdala. Paradoxically, arbor complexity in Met +/- mice was increased following early-life stress, and thus not different from arbors in wild-type mice raised in control conditions. The changes in dendritic morphology are consistent with the hypothesis that the physiological state of maturation of CA1 neurons in Met +/- mice influences their responsiveness to early-life stress. The dissociation of behavioral and structural changes suggests that there may be phenotype-specific sensitivities to early-life stress.
Ritblatt, Shulamit N; Hokoda, Audrey; Van Liew, Charles
2017-09-19
This paper delineates a preventive approach to early childhood mental health by preparing the workforce to provide relational, sensitive care to young children ages 0-5. One of the most prevalent issues in early childhood is behavioral challenges and the inability of young children to regulate themselves. This leads to an expulsion rate in early childhood (3-4 times higher than K-12 expulsion rate) and future mental health issues. The Early Childhood Social-Emotional and Behavior Regulation Intervention Specialist (EC-SEBRIS) graduate level certificate program was created to strengthen early care and education providers with the knowledge and practice of how to support emotion and behavior regulation in young children in their groups. Evaluation data provide evidence that early care and education professionals increased in their perception of self-efficacy and in their sensitivity of care and skills to support behavioral health in young children. Results indicated that the children in their care showed less challenging behaviors and increased social competencies. This manuscript highlights the importance of prevention and the dire need to provide young children with high-quality, appropriate care to support their mental health.
Early Detection Rapid Response Program Targets New Noxious Weed Species in Washington State
Andreas, Jennifer E.; Halpern, Alison D.; DesCamp, Wendy C.; Miller, Timothy W.
2015-01-01
Early detection, rapid response is a critical component of invasive plant management. It can be challenging, however, to detect new invaders before they become established if landowners cannot identify species of concern. In order to increase awareness, eye-catching postcards were developed in Washington State as part of a noxious weed educational…
Early Forest Fire Detection Using Low Energy Hydrogen Sensors
Directory of Open Access Journals (Sweden)
Jürgen Müller
2016-08-01
Full Text Available The North-east German Lowlands is a region with one of the highest forest fire risks in Europe. In order to keep damage levels as low as possible, it is important to have an effective early warning system. Such a system is being developed on the basis of a hydrogen sensor, which makes it possible to detect a smouldering forest fire before the development of open flames. The prototype hydrogen sensor produced at the Humboldt University Berlin has a metal/ solid electrolyte/insulator/ semiconductor (MEIS structure, which allows cost-effective production. Due to the low energy consumption, an autarchic working unit could be installed in the forest. Field trials have shown that it is possible to identify a forest fire in its early stages when hydrogen concentrations are still low. A significant change in the signal due to a fire was measured at a distance of about 100m. In view of the potential impacts of climate change, the innovative pre-ignition warning system is an important early diagnosis and monitoring module for the protection of the forests.
Early detection of structual changes in random signal
International Nuclear Information System (INIS)
Kuroda, Yoshiteru; Yokota, Katsuhiro
1981-01-01
Early detection of structual changes in observed random signal is very important from the point of system diagnosis. In this paper, the following procedures are applied to this problem and the results are compared. (1) auto-regressive model to random signal to calculate the prediction error, i.e., the defference between observed and predicted values. (2) auto-regressive method to caluculate the sum of the prediction error. (3) a method is based on AIC (Akaike Information Criterion). Simulation is made of these procedures, indicating their merits and demerits as a diagostic tools. (author)
Early Detection of Baby-Rain-Cell Aloft in a Severe Storm and Risk Projection for Urban Flash Flood
Directory of Open Access Journals (Sweden)
Eiichi Nakakita
2017-01-01
Full Text Available In July 2008, five people were killed by a tragic flash flood caused by a local torrential heavy rainfall in a short time in Toga River. From this tragic accident, we realized that a system which can detect hazardous rain-cells in the earlier stage is strongly needed and would provide an additional 5 to 10 min for evacuation. By analyzing this event, we verified that a first radar echo aloft, by volume scan observation, is a practical and important sign for early warning of flash flood, and we named a first echo as a “baby-rain-cell” of Guerrilla-heavy rainfall. Also, we found a vertical vorticity criterion for identifying hazardous rain-cells and developed a heavy rainfall prediction system that has the important feature of not missing any hazardous rain-cell. Being able to detect heavy rainfall by 23.6 min on average before it reaches the ground, this system is implemented in XRAIN in the Kinki area. Additionally, to resolve the relationship between baby-rain-cell growth and vorticity behavior, we carried out an analysis of vorticity inside baby-rain-cells and verified that a pair of positive and negative vertical vortex tubes as well as an updraft between them existed in a rain-cell in the early stage.
Early communicative behaviors and their relationship to motor skills in extremely preterm infants.
Benassi, Erika; Savini, Silvia; Iverson, Jana M; Guarini, Annalisa; Caselli, Maria Cristina; Alessandroni, Rosina; Faldella, Giacomo; Sansavini, Alessandra
2016-01-01
Despite the predictive value of early spontaneous communication for identifying risk for later language concerns, very little research has focused on these behaviors in extremely low-gestational-age infants (ELGAmotor development. In this study, communicative behaviors (gestures, vocal utterances and their coordination) were evaluated during mother-infant play interactions in 20 ELGA infants and 20 full-term infants (FT) at 12 months (corrected age for ELGA infants). Relationships between gestures and motor skills, evaluated using the Bayley-III Scales were also examined. ELGA infants, compared with FT infants, showed less advanced communicative, motor, and cognitive skills. Giving and representational gestures were produced at a lower rate by ELGA infants. In addition, pointing gestures and words were produced by a lower percentage of ELGA infants. Significant positive correlations between gestures (pointing and representational gestures) and fine motor skills were found in the ELGA group. We discuss the relevance of examining spontaneous communicative behaviors and motor skills as potential indices of early development that may be useful for clinical assessment and intervention with ELGA infants. Copyright © 2015 Elsevier Ltd. All rights reserved.
Directory of Open Access Journals (Sweden)
Zhifang Liao
2017-03-01
Full Text Available With the development of science and technology, it is possible to analyze residents’ daily behaviors for the purpose of smart healthcare in the smart home environment. Many researchers have begun to detect residents’ anomalous behaviors and assess their physical condition, but these approaches used by the researchers are often caught in plight caused by a lack of ground truth, one-sided analysis of behavior, and difficulty of understanding behaviors. In this paper, we put forward a smart home visual analysis system (SHVis to help analysts detect and comprehend unusual behaviors of residents, and predict the health information intelligently. Firstly, the system classifies daily activities recorded by sensor devices in smart home environment into different categories, and discovers unusual behavior patterns of residents living in this environment by using various characteristics extracted from those activities and appropriate unsupervised anomaly detection algorithm. Secondly, on the basis of figuring out the residents’ anomaly degree of every date, we explore the daily behavior patterns and details with the help of several visualization views, and compare and analyze residents’ activities of various dates to find the reasons why residents act unusually. In the case study of this paper, we analyze residents’ behaviors that happened over two months and find unusual indoor behaviors and give health advice to the residents.
DESI-Detection of early-season invasives (software-installation manual and user's guide version 1.0)
Kokaly, Raymond F.
2011-01-01
This report describes a software system for detecting early-season invasive plant species, such as cheatgrass. The report includes instructions for installing the software and serves as a user's guide in processing Landsat satellite remote sensing data to map the distributions of cheatgrass and other early-season invasive plants. The software was developed for application to the semi-arid regions of southern Utah; however, the detection parameters can be altered by the user for application to other areas.
A Framework for Detecting and Translating User Behavior from Smart Meter Data
DEFF Research Database (Denmark)
Kidmose, Egon; Ebeid, Emad Samuel Malki; Jacobsen, Rune Hylsberg
2015-01-01
The European adoption of smart electricity meters triggers the developments of new value-added service for smart energy and optimal consumption. Recently, several algorithms and tools have been built to analyze smart meter’s data. This paper introduces an open framework and prototypes for detecting...... and presenting user behavior from its smart meter power consumption data. The framework aims at presenting the detected user behavior in natural language reports. In order to validate the proposed framework, an experiment has been performed and the results have been presented....
Kang, Kyung-Ah; Kim, Shin-Jeong; Kaneko, Noriyo
2017-12-01
In this study, we identified the factors influencing behavioral intention to undergo Papanicolaou testing among Japanese and Korean women in early adulthood. Their behavioral intentions were compared in this cross-sectional descriptive study. In total, 887 women (Japanese = 498, Korean = 389) aged 20-39 years participated in this study. Using a self-report questionnaire, knowledge, attitudes, subjective norm, perceived behavioral control, and behavioral intention were surveyed. There were significant differences between Japanese and Korean women's scores on all main variables. For Japanese women, all the variables moderately correlated with behavioral intention. In comparison, for Korean women, all independent variables, except for knowledge, moderately correlated with behavioral intention. Through a multiple regression analysis, age, undergoing Papanicolaou testing, attitudes, subjective norm, and perceived behavioral control were identified as significant predictors of behavioral intention among Japanese women. Among Korean women, job status, undergoing a Papanicolaou test, attitudes, subjective norm, and perceived behavioral control were demonstrated as significant predictors of behavioral intention. Health professionals should consider these factors to encourage Papanicolaou testing in women in early adulthood. © 2017 John Wiley & Sons Australia, Ltd.
Directory of Open Access Journals (Sweden)
Rohulla Kosari Langari
2014-02-01
Full Text Available Change the world through information technology and Internet development, has created competitive knowledge in the field of electronic commerce, lead to increasing in competitive potential among organizations. In this condition The increasing rate of commercial deals developing guaranteed with speed and light quality is due to provide dynamic system of electronic banking until by using modern technology to facilitate electronic business process. Internet banking is enumerate as a potential opportunity the fundamental pillars and determinates of e-banking that in cyber space has been faced with various obstacles and threats. One of this challenge is complete uncertainty in security guarantee of financial transactions also exist of suspicious and unusual behavior with mail fraud for financial abuse. Now various systems because of intelligence mechanical methods and data mining technique has been designed for fraud detection in users’ behaviors and applied in various industrial such as insurance, medicine and banking. Main of article has been recognizing of unusual users behaviors in e-banking system. Therefore, detection behavior user and categories of emerged patterns to paper the conditions for predicting unauthorized penetration and detection of suspicious behavior. Since detection behavior user in internet system has been uncertainty and records of transactions can be useful to understand these movement and therefore among machine method, decision tree technique is considered common tool for classification and prediction, therefore in this research at first has determinate banking effective variable and weight of everything in internet behaviors production and in continuation combining of various behaviors manner draw out such as the model of inductive rules to provide ability recognizing of different behaviors. At least trend of four algorithm Chaid, ex_Chaid, C4.5, C5.0 has compared and evaluated for classification and detection of exist
Veenstra, Rene; Huitsing, Gijs; Dijkstra, Jan Kornelis; Lindenberg, Siegwart
2010-01-01
The relation between partying and antisocial behavior was investigated using a sample of Dutch early adolescents (T2: N = 1,076; M age = 13.52). Antisocial behavior was divided into rule-breaking and aggressive behavior. Using a goal-framing approach, it was argued that the relation of partying to antisocial behavior depends on the way the need to…
75 FR 7282 - Breast and Cervical Cancer Early Detection and Control Advisory Committee (BCCEDCAC)
2010-02-18
... Cervical Cancer Early Detection and Control Advisory Committee (BCCEDCAC) In accordance with section 10(a... detection and control of breast and cervical cancer. The committee makes recommendations regarding national.... Preventive Services Task Force guidelines for breast and cervical cancer screening; Impact of the revised...
International Nuclear Information System (INIS)
Lin, Shih-Wen; Wang, Guo-Qing; Wei, Wen-Qiang; Lu, Ning; Taylor, Philip R; Qiao, You-Lin; Dawsey, Sanford M; Abnet, Christian C; Freedman, Neal D; Murphy, Gwen; Risques, Rosana; Prunkard, Donna; Rabinovitch, Peter; Pan, Qin-Jing; Roth, Mark J
2013-01-01
Esophageal cancer is the sixth leading cause of cancer death worldwide; current early detection screening tests are inadequate. Esophageal balloon cytology successfully retrieves exfoliated and scraped superficial esophageal epithelial cells, but cytologic reading of these cells has poor sensitivity and specificity for detecting esophageal squamous dysplasia (ESD), the precursor lesion of esophageal squamous cell carcinoma (ESCC). Measuring telomere length, a marker for chromosomal instability, may improve the utility of balloon cytology for detecting ESD and early ESCC. We examined balloon cytology specimens from 89 asymptomatic cases of ESD (37 low-grade and 52 high-grade) and 92 age- and sex-matched normal controls from an esophageal cancer early detection screening study. All subjects also underwent endoscopy and biopsy, and ESD was diagnosed histopathologically. DNA was extracted from the balloon cytology cells, and telomere length was measured by quantitative PCR. A receiver operating characteristic (ROC) curve was plotted for telomere length as a diagnostic marker for high-grade dysplasia. Telomere lengths were comparable among the low- and high-grade dysplasia cases and controls, with means of 0.96, 0.96, and 0.92, respectively. The area under the ROC curve was 0.55 for telomere length as a diagnostic marker for high-grade dysplasia. Further adjustment for subject characteristics, including sex, age, smoking, drinking, hypertension, and body mass index did not improve the use of telomere length as a marker for ESD. Telomere length of esophageal balloon cytology cells was not associated with ESCC precursor lesions. Therefore, telomere length shows little promise as an early detection marker for ESCC in esophageal balloon samples
BEHAVIOR BASED CREDIT CARD FRAUD DETECTION USING SUPPORT VECTOR MACHINES
Directory of Open Access Journals (Sweden)
V. Dheepa
2012-07-01
Full Text Available Along with the great increase of internet and e-commerce, the use of credit card is an unavoidable one. Due to the increase of credit card usage, the frauds associated with this have also increased. There are a lot of approaches used to detect the frauds. In this paper, behavior based classification approach using Support Vector Machines are employed and efficient feature extraction method also adopted. If any discrepancies occur in the behaviors transaction pattern then it is predicted as suspicious and taken for further consideration to find the frauds. Generally credit card fraud detection problem suffers from a large amount of data, which is rectified by the proposed method. Achieving finest accuracy, high fraud catching rate and low false alarms are the main tasks of this approach.
Stene-Larsen, Kim; Lang, Astri M; Landolt, Markus A; Latal, Beatrice; Vollrath, Margarete E
2016-12-01
Recent findings has shown that late preterm births (gestational weeks 34-36) and early term births (gestational weeks 37-38) is associated with an increased risk of several psychological and developmental morbidities. In this article we investigate whether late preterm and early term births is associated with an increased risk of emotional and behavioral problems at 36 months of age and whether there are gender differences in risk of these outcomes. Forty-three thousand, two hundred ninety-seven children and their mothers participating in the Norwegian Mother and Child Cohort Study (MoBa). One thousand, eight hundred fifty-three (4.3%) of the children in the sample were born late preterm and 7,835 (18.1%) were born early term. Information on gestational age and on prenatal and postnatal risk factors was retrieved from the Medical Birth Registry of Norway. Information on emotional and behavioral problems was assessed by standardized questionnaires (CBCL/ITSEA) filled out by the mothers. Gender-stratified logistic regression analyses were used to explore the association between late preterm / early term and emotional and behavioral problems at 36 months of age. We found a gender-specific increased risk of emotional problems in girls born late preterm (OR 1.47 95%CI 1.11-1.95) and in girls born early term (OR 1.21 95%CI 1.04-1.42). We did not find an increased risk of emotional problems in boys born late preterm (OR 1.09 95%CI 0.82-1.45) or early term (OR 0.93 95%CI 0.79-1.10). Behavioral problems were not increased in children born late preterm or early term. Girls born late preterm and early term show an increased risk of emotional problems at 36 months of age. This finding suggests that gender should be taken into account when evaluating children born at these gestational ages.
Early-onset behavioral and neurochemical deficits in the genetic mouse model of phenylketonuria.
Fiori, Elena; Oddi, Diego; Ventura, Rossella; Colamartino, Marco; Valzania, Alessandro; D'Amato, Francesca Romana; Bruinenberg, Vibeke; van der Zee, Eddy; Puglisi-Allegra, Stefano; Pascucci, Tiziana
2017-01-01
Phenylketonuria (PKU) is one of the most common human inborn errors of metabolism, caused by phenylalanine hydroxylase deficiency, leading to high phenylalanine and low tyrosine levels in blood and brain causing profound cognitive disability, if untreated. Since 1960, population is screened for hyperphenylalaninemia shortly after birth and submitted to early treatment in order to prevent the major manifestations of the disease. However, the dietetic regimen (phenylalanine free diet) is difficult to maintain, and despite the recommendation to a strict and lifelong compliance, up to 60% of adolescents partially or totally abandons the treatment. The development and the study of new treatments continue to be sought, taking advantage of preclinical models, the most used of which is the PAHenu2 (BTBR ENU2), the genetic murine model of PKU. To date, adult behavioral and neurochemical alterations have been mainly investigated in ENU2 mice, whereas there are no clear indications about the onset of these deficiencies. Here we investigated and report, for the first time, a comprehensive behavioral and neurochemical assay of the developing ENU2 mice. Overall, our findings demonstrate that ENU2 mice are significantly smaller than WT until pnd 24, present a significant delay in the acquisition of tested developmental reflexes, impaired communicative, motor and social skills, and have early reduced biogenic amine levels in several brain areas. Our results extend the understanding of behavioral and cerebral abnormalities in PKU mice, providing instruments to an early preclinical evaluation of the effects of new treatments.
Lithium prevents long-term neural and behavioral pathology induced by early alcohol exposure.
Sadrian, B; Subbanna, S; Wilson, D A; Basavarajappa, B S; Saito, M
2012-03-29
Fetal alcohol exposure can cause developmental defects in offspring known as fetal alcohol spectrum disorder (FASD). FASD symptoms range from obvious facial deformities to changes in neuroanatomy and neurophysiology that disrupt normal brain function and behavior. Ethanol exposure at postnatal day 7 in C57BL/6 mice induces neuronal cell death and long-lasting neurobehavioral dysfunction. Previous work has demonstrated that early ethanol exposure impairs spatial memory task performance into adulthood and perturbs local and interregional brain circuit integrity in the olfacto-hippocampal pathway. Here we pursue these findings to examine whether lithium prevents anatomical, neurophysiological, and behavioral pathologies that result from early ethanol exposure. Lithium has neuroprotective properties that have been shown to prevent ethanol-induced apoptosis. Here we show that mice co-treated with lithium on the same day as ethanol exposure exhibit dramatically reduced acute neurodegeneration in the hippocampus and retain hippocampal-dependent spatial memory as adults. Lithium co-treatment also blocked ethanol-induced disruption in synaptic plasticity in slice recordings of hippocampal CA1 in the adult mouse brain. Moreover, long-lasting dysfunctions caused by ethanol in olfacto-hippocampal networks, including sensory-evoked oscillations and resting state coherence, were prevented in mice co-treated with lithium. Together, these results provide behavioral and physiological evidence that lithium is capable of preventing or reducing immediate and long-term deleterious consequences of early ethanol exposure on brain function. Copyright © 2012 IBRO. Published by Elsevier Ltd. All rights reserved.
Oleszkiewicz, Witold; Cichosz, Paweł; Jagodziński, Dariusz; Matysiewicz, Mateusz; Neumann, Łukasz; Nowak, Robert M.; Okuniewski, Rafał
2016-09-01
This article presents the application of machine learning algorithms for early detection of breast cancer on the basis of thermographic images. Supervised learning model: Support vector machine (SVM) and Sequential Minimal Optimization algorithm (SMO) for the training of SVM classifier were implemented. The SVM classifier was included in a client-server application which enables to create a training set of examinations and to apply classifiers (including SVM) for the diagnosis and early detection of the breast cancer. The sensitivity and specificity of SVM classifier were calculated based on the thermographic images from studies. Furthermore, the heuristic method for SVM's parameters tuning was proposed.
Sangenstedt, Susanne; Jaljuli, Iman; Sachser, Norbert; Kaiser, Sylvia
2017-04-01
The early social environment can profoundly affect behavioral and physiological phenotypes. We investigated how male wild cavy offspring, whose mothers had either lived in a stable (SE) or an unstable social environment (UE) during pregnancy and lactation, differed in their anxiety-like behavior and stress responsiveness. At two different time points in life, we tested the offspring's anxiety-like behavior in a dark-light test and their endocrine reaction to challenge in a cortisol reactivity test. Furthermore, we analyzed whether individual traits remained stable over time. There was no effect of the early social environment on anxiety-like behavior and stress responsiveness. However, at an individual level, anxiety-like behavior was stable over time in UE- but not in SE-sons. Stress responsiveness, in turn, was rather inconsistent in UE-sons and temporally stable in SE-sons. Conclusively, we showed for the first time that the early social environment differentially shapes the stability of behavioral and endocrine traits. At first glance, these results may be surprising, but they can be explained by the different functions anxiety-like behavior and stress responsiveness have. Copyright © 2017 Elsevier Inc. All rights reserved.
Directory of Open Access Journals (Sweden)
Strassnig M
2012-10-01
Full Text Available Martin Strassnig,1 Jaspreet S Brar,2 Rohan Ganguli31Department of Psychiatry, Miller School of Medicine, University of Miami, Miami, FL, USA; 2Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA; 3Department of Psychiatry, Centre for Addiction and Mental Health, University of Toronto, Toronto, ON, CanadaObjective: To examine adiposity and sedentary behavior in relation to health-related quality of life (QoL in patients with early schizophrenia.Methods: A cross-sectional study was used to assess adiposity by dual-energy X-ray absorptiometry scans, habitual physical activity and idle sitting time by the Short Form International Physical Activity Questionnaire, and health-related QoL by the RAND Medical Outcomes Study SF-36. QoL scores were compared with age-adjusted Canadian normative population data.Results: There were 36 participants with early schizophrenia, average age 25.1 (±3.6. Twenty-nine (72.5% were males. Mean illness duration was 30 (±18 months, and mean body mass index was 28.3 (±5. Females had higher body fat content than males (30.8 ± 6.9 vs 24.7 ± 10.6; t = −2.6, df = 34; P = 0.015. Total body fat (F = 14; P = 0.001, lean body mass (F = 10.2; P = 0.001, and sedentary behavior (F = 5; P = 0.013 significantly increased across body mass index categories. Total body fat was correlated with sedentary behavior (r = 0.62; P = 0.001, and total lean body mass was negatively correlated with sedentary behavior (r = 0.39; P = 0.03. Based on SF-36 scores, participants had significantly lower physical functioning (P = 0.0034, role physical (P = 0.0003, general health (P < 0.0001, vitality (P = 0.03, and physical component scores (P = 0.003 than Canadian population comparisons. Habitual sedentary behavior, more than activity or adiposity levels, was associated with health-related QoL in early schizophrenia.Conclusion: Health-related QoL is lower in early schizophrenia and is predominantly experienced in the physical
Directory of Open Access Journals (Sweden)
Schoppe-Sullivan Sarah
2010-07-01
Full Text Available Abstract Background Some evidence suggests that obesity and behavior problems are related in children, but studies have been conflicting and have rarely included children under age 4. An association between behavior problems in early childhood and risk for obesity could suggest that a common set of factors contribute to both. Our research objectives were to determine the extent to which externalizing behavior in early childhood is related to body mass index (BMI in early childhood and through age 12, and to evaluate whether these associations differ by sex and race. Methods Data from the NICHD Study of Early Child Care and Youth Development were analyzed. Externalizing behaviors at 24 months were assessed by mothers using the Child Behavior Checklist. BMI was calculated from measured height and weight assessed 7 times between age 2 and 12 years. Linear mixed effects models were used to assess associations between 24 month externalizing behavior and BMI from 2 to 12 years, calculate predicted differences in BMI, and evaluate effect modification. Results Externalizing behavior at 24 months was associated with a higher BMI at 24 months and through age 12. Results from a linear mixed effects model, controlling for confounding variables and internalizing behavior, predicted a difference in BMI of approximately 3/4 of a unit at 24 months of age comparing children with high levels of externalizing behavior to children with low levels of externalizing behavior. There was some evidence of effect modification by race; among white children, the average BMI difference remained stable through age 12, but it doubled to 1.5 BMI units among children who were black or another race. Conclusions Our analyses suggest that externalizing behaviors in early childhood are associated with children's weight status early in childhood and throughout the elementary school years, though the magnitude of the effect is modest.
Barriers to early detection of cervical-uterine cancer in Mexico.
Lazcano-Ponce, E C; Castro, R; Allen, B; Nájera, P; Alonso de Ruíz, P A; Hernández-Avila, M
1999-04-01
In Mexico, a woman dies of cervical-uterine cancer every 2 hours, indicating a low impact by the national program for early detection of this cancer, principally because of problems related to quality and coverage. Through a qualitative study, we identified the principal barriers to use of the detection program from the point of view of actual and potential program users. Four focus groups were organized in standard conditions in Mexico City (urban, developed) and in the southern state of Oaxaca (rural, economically disadvantaged area). Participants were either women with at least one previous Papanicolaou (Pap) test or women who had never had the test. Barriers to Pap test use included (1) lack of knowledge about cervical-uterine cancer etiology, (2) not knowing that the Pap test exists, (3) the conception that cancer is an inevitably fatal disease, (4) problems in doctor/medical institution-patient relationships, (5) giving priority to unmet needs related to extreme poverty, (6) opposition by the male sexual partner, (7) rejection of the pelvic examination, (8) long waits for sample collection and receiving results, and (9) perceived high costs for care. To increase coverage of the early detection program for cervical-uterine cancer in Mexico, the needs, perceptions, and beliefs of women and their partners must be taken into account when developing policy and planning, given the role these factors play in the decision-making process that leads to their participation or nonparticipation in this program.
A global hydrographic array for early detection of floods and droughts
Brakenridge, G.; Nghiem, S.; Caquard, S.
An array of over 700 20 km-long river gaging reaches, distributed world-wide, is imaged by the SeaWinds radar scatterometer aboard QuikSCAT every 2.5 days. Strongly negative HH/VV polarity ratios indicate large amounts of surface water. We set individual reach thresholds so that the transition from bankfull to overbank river flow can be identified according to changes in this ratio. Similarly, the wide-swath MODIS optical sensors provide frequent repeat coverage of the reaches at much higher spatial resolution (250 m). In this case, several reach water surface area thresholds can be identified: low flow or drought conditions, normal in-channel flow, overbank flow, and extreme flood conditions. Sustained data collection for the reaches by both sensors allows the radar response to changing surface water to be defined, and allows evaluation of the sensitivity of the MODIS data to river discharge changes. New approaches, such as ``unmixing'' analysis of mixed water/land MODIS pixels can extend detection limits to smaller rivers and streams. It is now possible for wide-area, frequent revisit terrestrial remote sensing to provide human society with early warning of both floods and droughts and by direct observation of the runoff component of the Earth's hydrologic cycle. Examples of both radar and optical approaches towards this end are at the web sites below: http://www.dartmouth.edu/˜ floods/Modisrapidresponse.html http://www.dartmouth.edu/˜ floods/sensorweb/SensorWebindex.html http://www.dartmouth.edu/˜ floods/Quikscat/Regional2/CurrentTisza.jpg} In particular, early flood detection results are obtained over an extensive region in eastern Europe including the Tisza River basin, Romania, Hungary, and adjacent nations. Flood detection maps are updated weekly at the web site. The combination of QuikSCAT and MODIS takes advantage of the large-area coverage of these sensors together with the high temporal resolution of QuikSCAT and the high spatial resolution of MODIS
Dielectric Spectroscopic Detection of Early Failures in 3-D Integrated Circuits.
Obeng, Yaw; Okoro, C A; Ahn, Jung-Joon; You, Lin; Kopanski, Joseph J
The commercial introduction of three dimensional integrated circuits (3D-ICs) has been hindered by reliability challenges, such as stress related failures, resistivity changes, and unexplained early failures. In this paper, we discuss a new RF-based metrology, based on dielectric spectroscopy, for detecting and characterizing electrically active defects in fully integrated 3D devices. These defects are traceable to the chemistry of the insolation dielectrics used in the through silicon via (TSV) construction. We show that these defects may be responsible for some of the unexplained early reliability failures observed in TSV enabled 3D devices.
Smart Sensing System for Early Detection of Bone Loss: Current Status and Future Possibilities
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Nasrin Afsarimanesh
2018-02-01
Full Text Available Bone loss and osteoporosis is a serious health problem worldwide. The impact of osteoporosis is far greater than many other serious health problems, such as breast and prostate cancers. Statistically, one in three women and one in five men over 50 years of age will experience osteoporotic fractures in their life. In this paper, the design and development of a portable IoT-based sensing system for early detection of bone loss have been presented. The CTx-I biomarker was measured in serum samples as a marker of bone resorption. A planar interdigital sensor was used to evaluate the changes in impedance by any variation in the level of CTx-I. Artificial antibodies were used to introduce selectivity to the sensor for CTx-I molecule. Artificial antibodies for CTx-I molecules were created using molecular imprinted polymer (MIP technique in order to increase the stability of the system and reduce the production cost and complexity of the assay procedure. Real serum samples collected from sheep blood were tested and the result validation was done by using an ELISA kit. The PoC device was able to detect CTx-I concentration as low as 0.09 ng/mL. It exhibited an excellent linear behavior in the range of 0.1–2.5 ng/mL, which covers the normal reference ranges required for bone loss detection. Future possibilities to develop a smart toilet for simultaneous measurement of different bone turnover biomarkers was also discussed.
Inclusion of methods for early detection of chronic kidney disease in ...
African Journals Online (AJOL)
Background The burden and magnitude of chronic kidney disease (CKD) are enormous. The incidence and prevalence of chronic kidney disease are rising all over the world. Thus, there is the urgent and pressing need for methods of early detection of CKD, to be included in guidelines for management of noncommunicable ...
Lee, Hong-Yi; Chen, Ping-Hsien; Lee, Tzu-Han; Chang, Kuo-Wei; Kuo, Wen-Chuan
2018-02-01
Oral cancer is the 11th most common cancer worldwide, especially in a male adult. The median age of death in oral cancer was 55 years, 10-20 years earlier than other cancers. Presently, oral cancer is often found in late stage, because the lesion is often flat in early stage and is difficult to diagnose under traditional white light imaging. The only definitive method for determining cancer is an invasive biopsy and then using histology examination. How to detect precancerous lesions or early malignant lesions is an important issue for improving prognosis of oral cancer. Optical coherence tomography (OCT) is a new optical tool for diagnosing early malignant lesions in the skin or gastrointestinal tract recently. Here we report a new method for detecting precancerous or early malignant oral lesions by using swept source polarization-sensitive optical coherence tomography (PS-OCT) with center-wavelength 1310 nm, bandwidth 110 nm and 100 kHz swept rate. We used all single-mode fiber design to detect the change of birefringence information in the epithelium structure. This system has an advantage that enables measurement of backscattered intensity and birefringence simultaneously with only one A-scan per transverse location. In preliminary result, we computed the slope of the every A-scan signal in tissue part using a linear-curve fitting in backscattered intensity and birefringence on the enface. In this research, we used an oral cancer mice model for observing the change of structure and birefringence properties in different stages of oral cancer mice. We presented the parametric enface imaging that can detect the early oral malignant lesions.
Gender differences in nutritional behavior and weight status during early and late adolescence.
Askovic, Branka; Kirchengast, Sylvia
2012-07-01
The current study aimed to determine gender differences in nutritional habits, eating behaviour, weight status, body image and weight control practices during early and late adolescence. 677 Viennese pupils (253 boys and 424 girls) between the ages 10 and 18 years (x = 14.1 yrs; +/- 2.2) were enrolled in the study. Weight status was determined by means of body mass index percentiles. To assess eating behavior, food preferences, body image and weight control practices, a 48 item questionnaire was developed. Significant gender differences in weight status were observable during late adolescence only. Girls are significantly less satisfied with their body weight. Furthermore, girls practice dieting and weight control to avoid any weight gain more frequently than boys. Gender differences in eating behavior intensified from early to late adolescence. From early to late adolescence, meal size decreased among girls, while it remains stabile or increased among boys. Boys eat generally more than girls. Furthermore, boys preferred meat and fast food while girls consumed fruits, vegetables and healthy food significantly more frequently. These gender differences are explained by gender specific energetic demands and culture typical beauty ideals.
Computer Aided Diagnosis System for Early Lung Cancer Detection
Directory of Open Access Journals (Sweden)
Fatma Taher
2015-11-01
Full Text Available Lung cancer continues to rank as the leading cause of cancer deaths worldwide. One of the most promising techniques for early detection of cancerous cells relies on sputum cell analysis. This was the motivation behind the design and the development of a new computer aided diagnosis (CAD system for early detection of lung cancer based on the analysis of sputum color images. The proposed CAD system encompasses four main processing steps. First is the preprocessing step which utilizes a Bayesian classification method using histogram analysis. Then, in the second step, mean shift segmentation is applied to segment the nuclei from the cytoplasm. The third step is the feature analysis. In this step, geometric and chromatic features are extracted from the nucleus region. These features are used in the diagnostic process of the sputum images. Finally, the diagnosis is completed using an artificial neural network and support vector machine (SVM for classifying the cells into benign or malignant. The performance of the system was analyzed based on different criteria such as sensitivity, specificity and accuracy. The evaluation was carried out using Receiver Operating Characteristic (ROC curve. The experimental results demonstrate the efficiency of the SVM classifier over other classifiers, with 97% sensitivity and accuracy as well as a significant reduction in the number of false positive and false negative rates.
Rank-Based miRNA Signatures for Early Cancer Detection
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Mario Lauria
2014-01-01
Full Text Available We describe a new signature definition and analysis method to be used as biomarker for early cancer detection. Our new approach is based on the construction of a reference map of transcriptional signatures of both healthy and cancer affected individuals using circulating miRNA from a large number of subjects. Once such a map is available, the diagnosis for a new patient can be performed by observing the relative position on the map of his/her transcriptional signature. To demonstrate its efficacy for this specific application we report the results of the application of our method to published datasets of circulating miRNA, and we quantify its performance compared to current state-of-the-art methods. A number of additional features make this method an ideal candidate for large-scale use, for example, as a mass screening tool for early cancer detection or for at-home diagnostics. Specifically, our method is minimally invasive (because it works well with circulating miRNA, it is robust with respect to lab-to-lab protocol variability and batch effects (it requires that only the relative ranking of expression value of miRNA in a profile be accurate not their absolute values, and it is scalable to a large number of subjects. Finally we discuss the need for HPC capability in a widespread application of our or similar methods.
Organizing the early detection of cancers
International Nuclear Information System (INIS)
Nyamdavaa, N.
1995-01-01
In early detection and diagnosing cancers: 1. organizing the preventive different examinations among the population in the servicing sphere, involving the family doctors to them. 2.Discharging the patients from hospitals after making the complex analysis to negate cancers and consulting with gynaecologist regardless the diagnosis of female in-patients aged over 20 who were hospitalized. 3.Making the analysis to negate cancers to the in-patients with indefinite diagnosis for the period of 14 days since their hospitalization and also the in-patients, who were shivered indefinitely.4.Making the analysis to negate cancers to all persons, who are first visited at out-patient clinics in the given year, who aged over 40, consulting the female patient, who aged over 25 with gynaecologist and making the USV examination to the persons, who were ill with infectious hepatitis now virus carriers at least 2 times for year
Directory of Open Access Journals (Sweden)
Natalya P. Bondar
2018-01-01
Full Text Available Stressful events in an early postnatal period have critical implications for the individual’s life and can increase later risk for psychiatric disorders. The aim of this study was to investigate the influence of early-life stress on the social behavior of adult male and female mice. C57Bl/6 mice were exposed to maternal separation (MS, 3 h once a day or handling (HD, 15 min once a day on postnatal day 2 through 14. Adult male and female mice were tested for social behavior in the social interaction test and for individual behavior in the plus-maze and open-field tests. Female mice exposed to maternal separation had increased social behavior and increased anxiety. MS male mice had no changes in social behavior but had significantly disrupted individual behavior, including locomotor and exploratory activity. Handling had positive effects on social behavior in males and females and decreased anxiety in males. Our results support the hypothesis that brief separation of pups from their mothers (handling, which can be considered as moderate stress, may result in future positive changes in behavior. Maternal separation has deleterious effects on individual behavior and significant sex-specific effects on social behavior.
Early exposure to a low dose of bisphenol A affects socio-sexual behavior of juvenile female rats.
Porrini, Stefania; Belloni, Virginia; Della Seta, Daniele; Farabollini, Francesca; Giannelli, Giuletta; Dessì-Fulgheri, Francesco
2005-04-15
Play behavior is affected by alteration of the hormonal environment during development. In fact, congenital adrenal hyperplasia or early administration of diethylstilbestrol are able to modify female play behavior in mammals. In this research, play behavior of female rats was used to explore the effects of perinatal exposure to low, environmentally relevant dose of bisphenol A (BPA), a xenoestrogen widely diffused in the environment. We used 18 females born to mothers exposed to 40 microg/kg/day BPA during pregnancy and lactation, and 18 control females. The subjects were observed in a heterosexual social situation from 35 to 55 days of age. Six main behaviors were identified by principal component analysis (PCA): exploration, defensive behavior to males, play behavior with males, play behavior with females, low-intensity mating behavior, social grooming. Early administration of BPA was responsible for a significant increase of exploration (including social investigation) (pbehavior, but is able however to defeminize some aspects of female behavior. This result is compatible with the estrogenic properties of BPA, and suggests caution in the use of a chemical that, in the range of human exposure, is able to influence the development of the brain during a critical period, resulting in long-term effects on behavior.
Methodological pitfalls in early detection studies–the NAPE Lecture 2002
DEFF Research Database (Denmark)
Svein, Friis; Tor Ketil, Larsen; Melle, Ingrid
2003-01-01
Identifies and discusses methodological pitfalls that may help explain why many questions around early detection (ED) and duration of untreated psychosis (DUP) are still unsolved. This paper concentrates on pitfalls in sampling, measurement, and data analyses. The main problems seem to be: (1) Sa...... to identify the pitfalls, and to estimate and discuss their influence. (PsycINFO Database Record (c) 2016 APA, all rights reserved)...
Directory of Open Access Journals (Sweden)
Gotthard G. Tribl
2014-09-01
Full Text Available Objective To describe characteristics of REM sleep behavior disorder in Wilson’s disease. Method Questionnaire-based interviews (patients and relatives, neurological examinations, two-week prospective dream-diary, video-polysomnography, transcranial sonography, MRI. Results Four Wilson’s disease cases with REM sleep behavior disorder were described; three had REM sleep behavior disorder as initial symptom. All showed mesencephalic tegmental/tectal sonographic hyperechogenicities and two presented ponto-mesencephalic tegmental MRI hyperintensities. Conclusion This first description of REM sleep behavior disorder in Wilson’s disease in literature documents REM sleep behavior disorder as a possible presenting symptom of Wilson’s disease and adds further evidence to the parallelism of Parkinson’s disease and Wilson’s disease in phenotype and brainstem topography, which ought to be further studied. REM sleep behavior disorder has prognostic relevance for neurodegeneration in α-synucleinopathies. In Wilson’s disease, usefulness of early diagnosis and treatment are already well established. REM sleep behavior disorder in Wilson’s disease offers a possible theoretical model for potential early treatment in this extrapyramidal and brainstem paradigm syndrome, previewing the possibility of neuroprotective treatment for REM sleep behavior disorder in “pre-clinical” Parkinson’s disease.
Directory of Open Access Journals (Sweden)
Sarmed S. Sami
2014-01-01
Full Text Available Early lesion detection and characterisation is vital to ensure accurate management in patients with gastrointestinal neoplasia. Endoscopic Tri-modal Imaging (ETMI technology has been shown to improve the targeted detection of early dysplastic lesions in Barrett's Oesophagus, but these results were not confirmed in non-expert hands [1]. This technology incorporates high resolution while light endoscopy (HRE, Auto Fluorescence Imaging (AFI and Narrow Band Imaging (NBI in one endoscope. The mucosa is first inspected with HRE, and then AFI is switched on to help in highlighting any suspicious areas in the mucosa [2]. These areas can be further examined by switching to NBI mode with magnification which helps to characterise mucosal patterns and identify early neoplasia [3].
Behavioral and anatomical consequences of early versus late symbol training in macaques.
Srihasam, Krishna; Mandeville, Joseph B; Morocz, Istvan A; Sullivan, Kevin J; Livingstone, Margaret S
2012-02-09
Distinct brain regions, reproducible from one person to the next, are specialized for processing different kinds of human expertise, such as face recognition and reading. Here, we explore the relationship between age of learning, learning ability, and specialized brain structures. Specifically, we ask whether the existence of reproducible cortical domains necessarily means that certain abilities are innate, or innately easily learned, or whether reproducible domains can be formed, or refined, by interactions between genetic programs and common early experience. Functional MRI showed that intensive early, but not late, experience caused the formation of category-selective regions in macaque temporal lobe for stimuli never naturally encountered by monkeys. And behaviorally, early training produced more fluent processing of these stimuli than the same training in adults. One explanation for these results is that in higher cortical areas, as in early sensory areas, experience drives functional clustering and functional clustering determines how that information is processed. Copyright © 2012 Elsevier Inc. All rights reserved.
Okado, Yuko; Bierman, Karen L
2015-05-01
To investigate the differential emergence of antisocial behaviors and mood dysregulation among children with externalizing problems, the present study prospectively followed 317 high-risk children with early externalizing problems from school entry (ages 5-7) to late adolescence (ages 17-19). Latent class analysis conducted on their conduct and mood symptoms in late adolescence revealed three distinct patterns of symptoms, characterized by: 1) criminal offenses, conduct disorder symptoms, and elevated anger ("conduct problems"), 2) elevated anger, dysphoric mood, and suicidal ideation ("mood dysregulation"), and 3) low levels of severe conduct and mood symptoms. A diathesis-stress model predicting the first two outcomes was tested. Elevated overt aggression at school entry uniquely predicted conduct problems in late adolescence, whereas elevated emotion dysregulation at school entry uniquely predicted mood dysregulation in late adolescence. Experiences of low parental warmth and peer rejection in middle childhood moderated the link between early emotion dysregulation and later mood dysregulation but did not moderate the link between early overt aggression and later conduct problems. Thus, among children with early externalizing behavior problems, increased risk for later antisocial behavior or mood dysfunction may be identifiable in early childhood based on levels of overt aggression and emotion dysregulation. For children with early emotion dysregulation, however, increased risk for mood dysregulation characterized by anger, dysphoric mood, and suicidality--possibly indicative of disruptive mood dysregulation disorder--emerges only in the presence of low parental warmth and/or peer rejection during middle childhood.
Arif, Sania; Qudsia, Syeda; Urooj, Samina; Chaudry, Nazia; Arshad, Aneeqa; Andleeb, Saadia
2015-03-15
Breast cancer represents a significant health problem because of its high prevalence. Tests like mammography, which are used abundantly for the detection of breast cancer, suffer from serious limitations. Mammography correctly detects malignancy about 80-90% of the times, failing in places when (1) the tumor is small at early stage, (2) breast tissue is dense or (3) in women of less than 40 years. Serum-based detection of biomarkers involves risk of disease transfer, along with other concerns. These techniques compromise in the early detection of breast cancer. Early detection of breast cancer is a crucial factor to enhance the survival rate of patient. Development of regular screening tests for early diagnosis of breast cancer is a challenge. This review highlights the design of a handy and household biosensor device aimed for self-screening and early diagnosis of breast cancer. The design makes use of salivary autoantibodies for specificity to develop a noninvasive procedure, breast cancer specific biomarkers for precision for the development of device, and biosensor technology for sensitivity to screen the early cases of breast cancer more efficiently. Copyright © 2014 Elsevier B.V. All rights reserved.
Breast cancer early detection via tracking of skin back-scattered secondary speckle patterns
Bennett, Aviya; Sirkis, Talia; Beiderman, Yevgeny; Agdarov, Sergey; Beiderman, Yafim; Zalevsky, Zeev
2018-02-01
Breast cancer has become a major cause of death among women. The lifetime risk of a woman developing this disease has been established as one in eight. The most useful way to reduce breast cancer death is to treat the disease as early as possible. The existing methods of early diagnostics of breast cancer are mainly based on screening mammography or Magnetic Resonance Imaging (MRI) periodically conducted at medical facilities. In this paper the authors proposing a new approach for simple breast cancer detection. It is based on skin stimulation by sound waves, illuminating it by laser beam and tracking the reflected secondary speckle patterns. As first approach, plastic balls of different sizes were placed under the skin of chicken breast and detected by the proposed method.
Early Hearing Detection and Intervention: Can Your Baby Hear?
Centers for Disease Control (CDC) Podcasts
2007-06-15
This podcast discusses how important it is that every child receives a hearing screening as soon as possible after birth. It also gives specific ways that parents and health providers can find out if a child has a possible hearing loss and where to get further information. (Created 6/5/2007 by the Early Hearing Detection and Intervention Program, NCBDDD). Created: 6/15/2007 by National Center on Birth Defects and Developmental Disabilities. Date Released: 6/25/2007.
Health economics evaluation of a gastric cancer early detection and treatment program in China.
Li, Dan; Yuan, Yuan; Sun, Li-Ping; Fang, Xue; Zhou, Bao-Sen
2014-01-01
To use health economics methodology to assess the screening program on gastric cancer in Zhuanghe, China, so as to provide the basis for health decision on expanding the program of early detection and treatment. The expense of an early detection and treatment program for gastric cancer in patients found by screening, and also costs of traditional treatment in a hospital of Zhuanghe were assessed. Three major techniques of medical economics, namely cost-effective analysis (CEA), cost-benefit analysis (CBA) and cost-utility analysis (CUA), were used to assess the screening program. RESULTS from CEA showed that investing every 25, 235 Yuan on screening program in Zhuanghe area, one gastric cancer patient could be saved. Data from CUA showed that it was cost 1, 370 Yuan per QALY saved. RESULTS from CBA showed that: the total cost was 1,945,206 Yuan with a benefit as 8,669,709 Yuan and an CBR of 4.46. The early detection and treatment program of gastric cancer appears economic and society-beneficial. We suggest that it should be carry out in more high risk areas for gastric cancer.
Early Detection and Screening for Breast Cancer.
Coleman, Cathy
2017-05-01
To review the history, current status, and future trends related to breast cancer screening. Peer-reviewed articles, web sites, and textbooks. Breast cancer remains a complex, heterogeneous disease. Serial screening with mammography is the most effective method to detect early stage disease and decrease mortality. Although politics and economics may inhibit organized mammography screening programs in many countries, the judicious use of proficient clinical and self-breast examination can also identify small tumors leading to reduced morbidity. Oncology nurses have exciting opportunities to lead, facilitate, and advocate for delivery of high-quality screening services targeting individuals and communities. A practical approach is needed to translate the complexities and controversies surrounding breast cancer screening into improved care outcomes. Copyright © 2017 Elsevier Inc. All rights reserved.
The Effects of Early Maternal Employment on Later Cognitive and Behavioral Outcomes.
Han, Wen-Jui; Waldfogel, Jane; Brooks-Gunn, Jeanne
2001-01-01
This study longitudinally followed Non-Hispanic White and African American children to see whether the impact of early maternal employment on cognitive and behavioral outcomes reported at age three and four persisted into school-age years. Results indicated that maternal employment in the first year of a child's life had significant negative…
Imaging spectroscopy for early detection of nitrogen deficiency in grass swards
Schut, A.G.T.; Ketelaars, J.J.M.H.
2003-01-01
The potential of an experimental imaging spectroscopy system with high spatial (0.16–0.28 mm²) ) and spectral resolution (5–13 nm) was explored for early detection of nitrogen (N) stress. From June through October 2000, a greenhouse experiment was conducted with 15 Lolium perenne L. mini-swards and
Autism: cause factors, early diagnosis and therapies.
Bhat, Shreya; Acharya, U Rajendra; Adeli, Hojjat; Bairy, G Muralidhar; Adeli, Amir
2014-01-01
Autism spectrum disorder (ASD) is a complex neurobiological disorder characterized by neuropsychological and behavioral deficits. Cognitive impairment, lack of social skills, and stereotyped behavior are the major autistic symptoms, visible after a certain age. It is one of the fastest growing disabilities. Its current prevalence rate in the U.S. estimated by the Centers for Disease Control and Prevention is 1 in 68 births. The genetic and physiological structure of the brain is studied to determine the pathology of autism, but diagnosis of autism at an early age is challenging due to the existing phenotypic and etiological heterogeneity among ASD individuals. Volumetric and neuroimaging techniques are explored to elucidate the neuroanatomy of the ASD brain. Nuroanatomical, neurochemical, and neuroimaging biomarkers can help in the early diagnosis and treatment of ASD. This paper presents a review of the types of autism, etiologies, early detection, and treatment of ASD.
A case of early detection of bisphosphonate-related osteonecrosis of the jaw
Mori, Miyu; Koide, Tetsuro; Matsui, Yuriyo; Matsuda, Toru
2015-01-01
Osteonecrosis of the jaws is an adverse reaction associated with the use of bisphosphonates. Although the diagnosis of bisphosphonate-related osteonecrosis of the jaw (BRONJ) is based on symptomatology, it is often detected late because the patients become symptomatic only after osteonecrosis is well established. We describe a case of early oral BRONJ detected by magnetic resonance imaging (MRI) accidentally. Head MRI revealed low signal of T1-weight images in left mandibula. Patient had been...
Directory of Open Access Journals (Sweden)
Muhammad Umar
2017-12-01
Full Text Available This study examines the effect of information technology and pressure such as time budget and task complexity on dysfunctional audit behavior. This study tests whether dysfunctional audit behavior affects fraud detection. Data were gathered from 81 auditors in Jakarta and were analyzed using structure equation model (SEM. The results explain that pressure (time budget and complexity task have some impacts on dysfunctional audit behavior while information technology does not affect dysfunctional audit behavior. These results also indicate that dysfunctional audit behavior has an adverse effect on fraud detection. Job-related stress framework explains the conditions that make stress (stressors will affect to individual psychology, physics, and behavior (strains and make some result (outcome. Pressure (time budget and complexity task is the condition that makes both positive and negative effect on individual behavior. Pressure can make individuals behave dysfunctional or motivate them to give their best shot even though their work uses a lot of energy and mind to solve the problems. Raising dysfunctional audit behavior will reduce auditor’s ability to identify material misstatement in the financial statement.
Early detection of COPD in primary care--the Copenhagen COPD Screening Project
DEFF Research Database (Denmark)
Lyngsø, Anne Marie; Backer, Vibeke; Gottlieb, Vibeke
2010-01-01
Chronic Obstructive Pulmonary Disease (COPD) is among the leading causes of death in the world, and further increases in the prevalence and mortality are predicted. Delay in diagnosing COPD appears frequently even though current consensus guidelines emphasize the importance of early detection...
Taylor, C A; Overstreet, J W; Samuels, S J; Boyers, S P; Canfield, R E; O'Connor, J F; Hanson, F W; Lasley, B L
1992-06-01
To develop an economical, nonradiometric immunoenzymometric assay (IEMA) for the detection of urinary human chorionic gonadotropin (hCG) in studies of early fetal loss. To be effective, the IEMA must have a sensitivity equal to the standard immunoradiometric assay (IRMA) and sufficient specificity to eliminate the need for screening most nonconceptive cycles with the expensive and labor-intensive IRMA. Two different assays were used to measure hCG in daily early morning urine samples from potential conceptive cycles. Women undergoing donor artificial insemination (AI) were evaluated in a prospective study. Ninety-two women volunteers were selected on the basis of apparent normal reproductive health. Artificial insemination with nonfrozen donor semen was performed by cervical cup twice each menstrual cycle at 48-hour intervals, and daily urine samples were self-collected throughout the menstrual cycle. An IEMA was developed to detect urinary hCG using the same antibodies as in the standard IRMA; a study was designed to determine whether this nonradiometric assay could successfully detect the early fetal loss that was detected by the IRMA. Of 224 menstrual cycles analyzed by both assays, a total of six early fetal losses were detected by the IRMA. When the tentative screening rule was set to allow all six of these losses and 95% of future losses to be detected by the IEMA, an additional 34 false-positive results were detected by the IEMA. The specificity of the IEMA with this rule was calculated to be 84%. An IEMA based on the same antibodies used for the standard IRMA can serve as an efficient screening assay for the detection of early fetal loss. When the IEMA is used in this manner, nearly 80% of screened menstrual cycles can be eliminated without further testing by the IRMA.
Castelhano, Adelisandra Silva Santos; Ramos, Fabiane Ochai; Scorza, Fulvio Alexandre; Cysneiros, Roberta Monterazzo
2015-03-01
Previously, we demonstrated that male Wistar rats submitted to neonatal status epilepticus showed abnormal social behavior characterized by deficit in social discrimination and enhanced emotionality. Taking into account that early insult can produce different biological manifestations in a gender-dependent manner, we aimed to investigate the social behavior and anxiety-like behavior in female Wistar rats following early life seizures. Neonate female Wistar rats at 9 days postnatal were subject to pilocarpine-induced status epilepticus and the control received saline. Behavioral tests started from 60 days postnatal and were carried out only during the diestrus phase of the reproductive cycle. In sociability test experimental animals exhibited reduced motivation for social encounter and deficit in social discrimination. In open field and the elevated plus maze, experimental animals showed enhanced emotionality with no changes in basal locomotor activity. The results showed that female rats submitted to neonatal status epipepticus showed impaired social behavior, characterized by reduced motivation to novelty and deficit in social discrimination in addition to enhanced emotionality.
International Nuclear Information System (INIS)
Huang, K. Y.; Wang, S. Y.; Urata, Y.
2009-01-01
We present on two early detections of GRB afterglows with the Taiwanese-American Occltation Sruvey (TAOS) telescopes. The robotic TAOS system has been devised so that the routine Kuiper Belt Object (KBO) survey is interrupted when a GRB alert is triggered. Our first detection, GRB 071010B was detected by TAOS 62 s after the burst and showed a weak early brightening during the observations. No significant correction with the prompt gamma-ray emission indicated that our optical emission detected is afterglow emission. The second detection of TAOS, GRB 071112C was detected 96 s after the burst, also showed a possible initial raising then followed a steep decay in the R-band light curve.
Soller, Brian; Williams, Kristi
2015-01-01
Past research indicates that anticipating adverse outcomes, such as early death (fatalism), is associated positively with adolescents' likelihood of engaging in risky behaviors. Health researchers and criminologists have argued that fatalism influences present risk taking in part by informing individuals' motivation for delaying gratification for the promise of future benefits. While past findings highlight the association between the anticipation of early death and a number of developmental outcomes, no known research has assessed the impact of location in a context characterized by high perceptions of fatality. Using data from Add Health and a sample of 9,584 adolescents (51 % female and 71 % white) nested in 113 schools, our study builds upon prior research by examining the association between friends', school mates', and individual perceptions of early fatality and adolescent risk behaviors. We test whether friends' anticipation of being killed prior to age 21 or location in a school where a high proportion of the student body subscribes to attitudes of high fatality, is associated with risky behaviors. Results indicate that friends' fatalism is positively associated with engaging in violent delinquency, non-violent delinquency, and drug use after controlling for individual covariates and prior individual risk-taking. Although friends' delinquency accounts for much of the effect of friends' fatalism on violence, none of the potential intervening variables fully explain the effect of friends' fatalism on youth involvement in nonviolent delinquency and drug use. Our results underscore the importance of friendship contextual effects in shaping adolescent risk-taking behavior and the very serious consequences perceptions of fatality have for adolescents' involvement in delinquency and drug use. PMID:23828725
Early-onset Conduct Problems: Predictions from daring temperament and risk taking behavior.
Bai, Sunhye; Lee, Steve S
2017-12-01
Given its considerable public health significance, identifying predictors of early expressions of conduct problems is a priority. We examined the predictive validity of daring, a key dimension of temperament, and the Balloon Analog Risk Task (BART), a laboratory-based measure of risk taking behavior, with respect to two-year change in parent, teacher-, and youth self-reported oppositional defiant disorder (ODD), conduct disorder (CD), and antisocial behavior. At baseline, 150 ethnically diverse 6- to 10-year old (M=7.8, SD=1.1; 69.3% male) youth with ( n =82) and without ( n =68) DSM-IV ADHD completed the BART whereas parents rated youth temperament (i.e., daring); parents and teachers also independently rated youth ODD and CD symptoms. Approximately 2 years later, multi-informant ratings of youth ODD, CD, and antisocial behavior were gathered from rating scales and interviews. Whereas risk taking on the BART was unrelated to conduct problems, individual differences in daring prospectively predicted multi-informant rated conduct problems, independent of baseline risk taking, conduct problems, and ADHD diagnostic status. Early differences in the propensity to show positive socio-emotional responses to risky or novel experiences uniquely predicted escalating conduct problems in childhood, even with control of other potent clinical correlates. We consider the role of temperament in the origins and development of significant conduct problems from childhood to adolescence, including possible explanatory mechanisms underlying these predictions.
Durber, Chelsea M; Yeates, Keith Owen; Taylor, H Gerry; Walz, Nicolay Chertkoff; Stancin, Terry; Wade, Shari L
2017-07-01
This study examined how the family environment predicts long-term academic and behavioral functioning in school following traumatic brain injury (TBI) in early childhood. Using a concurrent cohort, prospective design, 15 children with severe TBI, 39 with moderate TBI, and 70 with orthopedic injury (OI) who were injured when they were 3-7 years of age were compared on tests of academic achievement and parent and teacher ratings of school performance and behavior on average 6.83 years postinjury. Soon after injury and at the longer term follow-up, families completed measures of parental psychological distress, family functioning, and quality of the home environment. Hierarchical linear regression analyses examined group differences in academic outcomes and their associations with measures of the early and later family environment. The severe TBI group, but not the moderate TBI group, performed worse than did the OI group on all achievement tests, parent ratings of academic performance, and teacher ratings of internalizing problems. Higher quality early and late home environments predicted stronger academic skills and better classroom behavior for children with both TBI and OI. The early family environment more consistently predicted academic achievement, whereas the later family environment more consistently predicted classroom functioning. The quality of the home environment predicted academic outcomes more strongly than did parental psychological distress or family functioning. TBI in early childhood has long-term consequences for academic achievement and school performance and behavior. Higher quality early and later home environments predict better school outcomes for both children with TBI and children with OI. (PsycINFO Database Record (c) 2017 APA, all rights reserved).
Pulmonary berylliosis. Experimental induction. Early detection
International Nuclear Information System (INIS)
Andre, Stephane
1984-01-01
This research thesis reports the study of the biological reactivity of industrial and environmental aerosols, notably beryllium powder aerosols. In order to study beryllium toxicity under its metal form, and the dose-effect relationship and the suspected carcinogen effect, a pulmonary berylliosis has been experimentally induced in rat and monkey. In order to develop means of rapid detection of exposure and sensitisation to beryllium, the author studied early pathological cellular mechanisms occurring during a pulmonary granulomatosis. Quantitative and qualitative modifications have been searched for, more particularly at the level of endo-alveolar cellular populations of macrophages and lymphocytes. The study has also been extended to the sensitisation of lymphocytes with respect to beryllium. After some generalities about beryllium (properties, sources, uses, exposure sources), and an overview of its toxicity (epidemiology, pathologies, experiments, biological mechanisms, detoxification), the author reports the introduction of a chronic pulmonary berylliosis into animals, discusses the various noticed pathologies and their analysis, and reports in situ and in vitro studies [fr
Marks, Jennifer; de la Haye, Kayla; Barnett, Lisa M; Allender, Steven
2018-05-17
The potential for peers to influence obesity risk behavior increases in adolescence, yet there are knowledge gaps of how behaviors are modified in response to peers over time. This study examined how personal friendship network characteristics were associated with obesity-related behaviors from late childhood to early adolescence. Two waves of friendship, physical activity, screen time, and dietary recall data were collected from 11- to 13-year-old students (99% retention) in Australia (n = 308) over a five- to eight-month period. Regression models identified friendship network characteristics that predicted later health behaviors which varied by gender and behavior type, such as the number of friends positively associated with physical activity intensity (males) and screen time (females). The need for considering context to influence behavior change is discussed. © 2018 Society for Research on Adolescence.
International Nuclear Information System (INIS)
Mahmood, F.H.
2012-01-01
Mammography is at present one of the available method for early detection of masses or abnormalities which is related to breast cancer.The calcifications. The challenge lies in early and accurate detection to overcome the development of breast cancer that affects more and more women throughout the world. Breast cancer is diagnosed at advanced stages with the help of the digital mammogram images. Masses appear in a mammogram as fine, granular clusters, which are often difficult to identify in a raw mammogram. The incidence of breast cancer in women has increased significantly in recent years. This paper proposes a computer aided diagnostic system for the extraction of features like mass lesions in mammograms for early detection of breast cancer. The proposed technique is based on a four-step procedure: (a) the preprocessing of the image is done, (b) regions of interest (ROI) specification, (c) supervised segmentation method includes two to stages performed using the minimum distance (M D) criterion, and (d) feature extraction based on Gray level Co-occurrence matrices GLC M for the identification of mass lesions. The method suggested for the detection of mass lesions from mammogram image segmentation and analysis was tested over several images taken from A L-llwiya Hospital in Baghdad, Iraq.The proposed technique shows better results.
77 FR 71193 - Breast and Cervical Cancer Early Detection Federal Advisory Committee
2012-11-29
... DEPARTMENT OF HEALTH AND HUMAN SERVICES Centers for Disease Control and Prevention (CDC) Breast and Cervical Cancer Early Detection Federal Advisory Committee Correction: This notice was published in the Federal Register on November 5, 2012, Volume 77, Number 214, Page 66469. A teleconference line...
Bottini-Luzardo, Maria; Aguilar-Perez, Carlos; Centurion-Castro, Fernando; Solorio-Sanchez, Francisco; Ayala-Burgos, Armin; Montes-Perez, Ruben; Muñoz-Rodriguez, David; Ku-Vera, Juan
2015-12-01
The legume Leucaena leucocephala (Leucaena) is widely used to supplement forage in silvopastoral livestock systems in Latin America. Little is known about its possible effects on the cow reproductive dynamic. The aim was to evaluate the effect of Leucaena foliage intake on re-establishment of ovarian activity and estrus behavior in early postpartum (7-90 days) cows. Twenty-four multiparous Bos taurus × Bos indicus cows were divided into two homogenous groups and assigned to one of two treatments: a silvopastoral system (SS, n = 12), consisting of an association of Cynodon nlemfuensis grass and L. leucocephala; and a control system (CS, n = 12), consisting of C. nlemfuensis alone. Intake of Leucaena in the SS ranged from 3.80 to 6.43 kg DM/cow/day. Plasma mimosine concentrations ranged from 1270 to 1530 μg/mL, and those for 2,3-dihydroxypyridine (DHP) from 147 to 729 μg/mL. No 3,4-DHP was detected in plasma. No difference (P > 0.05) between treatments was observed for the number of cows exhibiting small, medium, or dominant follicles, or estrus behavior. The number of cows which re-established ovarian cyclicity (n = 6) was lower (P < 0.05) in the SS than in the CS (n = 9). Corpus luteum lifespan was longer (P < 0.05) in the SS than in the CS. Intake of Leucaena affected the number of cows exhibiting ovarian cyclicity and extended corpus luteum life, but did not affect follicular development and estrus behavior.
Early Detection of At-Risk Undergraduate Students through Academic Performance Predictors
Rowtho, Vikash
2017-01-01
Undergraduate student dropout is gradually becoming a global problem and the 39 Small Islands Developing States (SIDS) are no exception to this trend. The purpose of this research was to develop a method that can be used for early detection of students who are at-risk of performing poorly in their undergraduate studies. A sample of 279 students…
Colunga-Garcia, Manuel; Magarey, Roger A; Haack, Robert A; Gage, Stuart H; Qi, Jiaquo
2010-03-01
Urban areas are hubs of international transport and therefore are major gateways for exotic pests. Applying an urban gradient to analyze this pathway could provide insight into the ecological processes involved in human-mediated invasions. We defined an urban gradient for agricultural and forest ecosystems in the contiguous United States to (1) assess whether ecosystems nearer more urbanized areas were at greater risk of invasion, and (2) apply this knowledge to enhance early detection of exotic pests. We defined the gradient using the tonnage of imported products in adjacent urban areas and their distance to nearby agricultural or forest land. County-level detection reports for 39 exotic agricultural and forest pests of major economic importance were used to characterize invasions along the gradient. We found that counties with more exotic pests were nearer the urban end of the gradient. Assuming that the exotic species we analyzed represent typical invaders, then early detection efforts directed at 21-26% of U.S. agricultural and forest land would likely be able to detect 70% of invaded counties and 90% of the selected species. Applying an urban-gradient framework to current monitoring strategies should enhance early detection efforts of exotic pests, facilitating optimization in allocating resources to areas at greater risk of future invasions.
An automated approach for early detection of diabetic retinopathy using SD-OCT images.
ElTanboly, Ahmed H; Palacio, Agustina; Shalaby, Ahmed M; Switala, Andrew E; Helmy, Omar; Schaal, Shlomit; El-Baz, Ayman
2018-01-01
This study was to demonstrate the feasibility of an automatic approach for early detection of diabetic retinopathy (DR) from SD-OCT images. These scans were prospectively collected from 200 subjects through the fovea then were automatically segmented, into 12 layers. Each layer was characterized by its thickness, tortuosity, and normalized reflectivity. 26 diabetic patients, without DR changes visible by funduscopic examination, were matched with 26 controls, according to age and sex, for purposes of statistical analysis using mixed effects ANOVA. The INL was narrower in diabetes (p = 0.14), while the NFL (p = 0.04) and IZ (p = 0.34) were thicker. Tortuosity of layers NFL through the OPL was greater in diabetes (all p diabetes. In turn, carries the promise to a reliable non-invasive diagnostic tool for early detection of DR.
Big data analytics for early detection of breast cancer based on machine learning
Ivanova, Desislava
2017-12-01
This paper presents the concept and the modern advances in personalized medicine that rely on technology and review the existing tools for early detection of breast cancer. The breast cancer types and distribution worldwide is discussed. It is spent time to explain the importance of identifying the normality and to specify the main classes in breast cancer, benign or malignant. The main purpose of the paper is to propose a conceptual model for early detection of breast cancer based on machine learning for processing and analysis of medical big dataand further knowledge discovery for personalized treatment. The proposed conceptual model is realized by using Naive Bayes classifier. The software is written in python programming language and for the experiments the Wisconsin breast cancer database is used. Finally, the experimental results are presented and discussed.
Development of a metabolic biosignature for detection of early Lyme disease.
Molins, Claudia R; Ashton, Laura V; Wormser, Gary P; Hess, Ann M; Delorey, Mark J; Mahapatra, Sebabrata; Schriefer, Martin E; Belisle, John T
2015-06-15
Early Lyme disease patients often present to the clinic prior to developing a detectable antibody response to Borrelia burgdorferi, the etiologic agent. Thus, existing 2-tier serology-based assays yield low sensitivities (29%-40%) for early infection. The lack of an accurate laboratory test for early Lyme disease contributes to misconceptions about diagnosis and treatment, and underscores the need for new diagnostic approaches. Retrospective serum samples from patients with early Lyme disease, other diseases, and healthy controls were analyzed for small molecule metabolites by liquid chromatography-mass spectrometry (LC-MS). A metabolomics data workflow was applied to select a biosignature for classifying early Lyme disease and non-Lyme disease patients. A statistical model of the biosignature was trained using the patients' LC-MS data, and subsequently applied as an experimental diagnostic tool with LC-MS data from additional patient sera. The accuracy of this method was compared with standard 2-tier serology. Metabolic biosignature development selected 95 molecular features that distinguished early Lyme disease patients from healthy controls. Statistical modeling reduced the biosignature to 44 molecular features, and correctly classified early Lyme disease patients and healthy controls with a sensitivity of 88% (84%-95%), and a specificity of 95% (90%-100%). Importantly, the metabolic biosignature correctly classified 77%-95% of the of serology negative Lyme disease patients. The data provide proof-of-concept that metabolic profiling for early Lyme disease can achieve significantly greater (P Diseases Society of America. All rights reserved. For Permissions, please e-mail: journals.permissions@oup.com.
Pan, Y. T.; Xie, T. Q.; Du, C. W.; Bastacky, S.; Meyers, S.; Zeidel, M. L.
2003-12-01
We report an experimental study of the possibility of enhancing early bladder cancer diagnosis with fluorescence-image-guided endoscopic optical coherence tomography (OCT). After the intravesical instillation of a 10% solution of 5-aminolevulinic acid, simultaneous fluorescence imaging (excitation of 380-420 nm, emission of 620-700 nm) and OCT are performed on rat bladders to identify the photochemical and morphological changes associated with uroepithelial tumorigenesis. The preliminary results of our ex vivo study reveal that both fluorescence and OCT can identify early uroepithelial cancers, and OCT can detect precancerous lesions (e.g., hyperplasia) that fluorescence may miss. This suggests that a cystoscope combining 5-aminolevulinic acid fluorescence and OCT imaging has the potential to enhance the efficiency and sensitivity of early bladder cancer diagnosis.
Cadima, Joana; Gamelas, Ana M.; McClelland, Megan; Peixoto, Carla
2015-01-01
Research Findings: This study examined concurrent associations between family sociodemographic risk, self-regulation, and early literacy and mathematics in young children from Azores, Portugal (N = 186). Family sociodemographic risk was indexed by low maternal education, low family income, and low occupational status. Behavioral aspects of…
Effect of gallic acid on the wear behavior of early carious enamel
International Nuclear Information System (INIS)
Gao, S S; Huang, S B; Yu, H Y; Qian, L M
2009-01-01
The purpose of this research was to investigate the wear behavior of early carious enamel remineralized with gallic acid. Forty natural human premolar specimens with early caries lesions were prepared. A remineralization pH-cycling treatment agent of 4000 ppm gallic acid was used for 12 days to treat the early lesions. The changes in microhardness were monitored. Nanoscratch tests were used to evaluate wear resistance. The experimental data were analyzed by using a t-test. The widths of traces were measured by an AMBIOS XP-2 stylus profilometer. After remineralization, all samples re-hardened significantly. The coefficients of friction became higher, and the widths of scratches were larger than they were before remineralization. Gallic acid significantly improved the early carious enamel's hardness. The wear damage of the samples treated with gallic acid was more severe than that of the control group. There were more obvious cracks and delaminations on the traces of the treated group. Compared with the control group, the enamel remineralized with gallic acid had inferior wear resistance. After remineralization, the dominant damage mechanisms of early carious enamel had changed from plastic deformation and adhesive wear to a combination of brittle cracks and delamination of enamel.
Ley, C J; Björnsdóttir, S; Ekman, S; Boyde, A; Hansson, K
2016-01-01
Validated noninvasive detection methods for early osteoarthritis (OA) are required for OA prevention and early intervention treatment strategies. To evaluate radiography and low-field magnetic resonance imaging (MRI) for the detection of early stage OA osteochondral lesions in equine centrodistal joints using microscopy as the reference standard. Prospective imaging of live horses and imaging and microscopy of cadaver tarsal joints. Centrodistal (distal intertarsal) joints of 38 Icelandic research horses aged 27-29 months were radiographed. Horses were subjected to euthanasia approximately 2 months later and cadaver joints examined with low-field MRI. Osteochondral joint specimens were classified as negative or positive for OA using light microscopy histology or scanning electron microscopy. Radiographs and MRIs were evaluated for osteochondral lesions and results compared with microscopy. Forty-two joints were classified OA positive with microscopy. Associations were detected between microscopic OA and the radiography lesion categories; mineralisation front defect (Pradiography and low-field MRI pooled lesion categories, but radiography was often superior when individual lesion categories were compared. Early stage centrodistal joint OA changes may be detected with radiography and low-field MRI. Detection of mineralisation front defects in radiographs may be a useful screening method for detection of early OA in centrodistal joints of young Icelandic horses. © 2015 EVJ Ltd.
A multi-wavelength (u.v. to visible) laser system for early detection of oral cancer
Najda, S. P.; Perlin, P.; Leszczyński, M.; Slight, T. J.; Meredith, W.; Schemmann, M.; Moseley, H.; Woods, J. A.; Valentine, R.; Kalra, S.; Mossey, P.; Theaker, E.; Macluskey, M.; Mimnagh, G.; Mimnagh, W.
2015-03-01
A multi-wavelength (360nm - 440nm), real-time Photonic Cancer Detector (PCD) optical system based on GaN semiconductor laser technology is outlined. A proof of concept using blue laser technology for early detection of cancer has already been tested and proven for esophageal cancer. This concept is expanded to consider a wider range of wavelengths and the PCD will initially be used for early diagnosis of oral cancers. The PCD creates an image of the oral cavity (broad field white light detection) and maps within the oral cavity any suspicious lesions with high sensitivity using a narrow field tunable detector.
Mostapha, Mahmoud; Khalifa, Fahmi; Alansary, Amir; Soliman, Ahmed; Gimel'farb, Georgy; El-Baz, Ayman
2013-10-01
Early detection of renal transplant rejection is important to implement appropriate medical and immune therapy in patients with transplanted kidneys. In literature, a large number of computer-aided diagnostic (CAD) systems using different image modalities, such as ultrasound (US), magnetic resonance imaging (MRI), computed tomography (CT), and radionuclide imaging, have been proposed for early detection of kidney diseases. A typical CAD system for kidney diagnosis consists of a set of processing steps including: motion correction, segmentation of the kidney and/or its internal structures (e.g., cortex, medulla), construction of agent kinetic curves, functional parameter estimation, diagnosis, and assessment of the kidney status. In this paper, we survey the current state-of-the-art CAD systems that have been developed for kidney disease diagnosis using dynamic MRI. In addition, the paper addresses several challenges that researchers face in developing efficient, fast and reliable CAD systems for the early detection of kidney diseases.
Caenorhabditis elegans Egg-Laying Detection and Behavior Study Using Image Analysis
Directory of Open Access Journals (Sweden)
Palm Megan
2005-01-01
Full Text Available Egg laying is an important phase of the life cycle of the nematode Caenorhabditis elegans (C. elegans. Previous studies examined egg-laying events manually. This paper presents a method for automatic detection of egg-laying onset using deformable template matching and other morphological image analysis techniques. Some behavioral changes surrounding egg-laying events are also studied. The results demonstrate that the computer vision tools and the algorithm developed here can be effectively used to study C. elegans egg-laying behaviors. The algorithm developed is an essential part of a machine-vision system for C. elegans tracking and behavioral analysis.
Frenkel, Tahl I; Fox, Nathan A; Pine, Daniel S; Walker, Olga L; Degnan, Kathryn A; Chronis-Tuscano, Andrea
2015-10-01
We examined whether the temperament of behavioral inhibition is a significant marker for psychopathology in early adulthood and whether such risk is buffered by peer social networks. Participants (N = 165) were from a prospective study spanning the first two decades of life. Temperament was characterized during infancy and early childhood. Extent of involvement in peer social networks was measured during adolescence, and psychopathology was assessed in early adulthood. Latent Class Analyses generated comprehensive variables at each of three study time-points. Regressions assessed (a) the direct effect of early behavioral inhibition on adult psychopathology (b) the moderating effect of adolescent involvement in social peer networks on the link between temperamental risk and adult psychopathology. Stable behavioral inhibition in early childhood was negatively associated with adult mental health (R(2 ) = .07, p = .005, β = -.26), specifically increasing risk for adult anxiety disorders (R(2) = .04, p = .037, β = .19). These temperament-pathology relations were significantly moderated by adolescent peer group social involvement and network size (Total R(2) = .13, p = .027, β = -.22). Temperament predicted heightened risk for adult anxiety when adolescent social involvement was low (p = .002, β = .43), but not when adolescent social involvement was high. Stable behavioral inhibition throughout early childhood is a risk factor for adult anxiety disorders and interacts with adolescent social involvement to moderate risk. This is the first study to demonstrate the critical role of adolescent involvement in socially active networks in moderating long-lasting temperamental risk over the course of two decades, thus informing prevention/intervention approaches. © 2015 Association for Child and Adolescent Mental Health.
Knowledge representation methods for early failure detection
International Nuclear Information System (INIS)
Scherer, K.P.; Stiller, P.
1990-01-01
To supervise technical processes like nuclear power plants, it is very important to detect failure modes in an early stage. In the nuclear research center at Karlsruhe an expert system is developed, embedded in a computer network of autonomous computers, which are used for intelligent prepocessing. Events, process data and actual parameter values are stored in slots of special frames in the knowledge base of the expert system. Both rule based and fact based knowledge representations are employed to generate cause consequence chains of failure states. By on-line surveillance of the reactor process, the slots of the frames are dynamically actualized. Immediately after the evaluation, the inference engine starts in the special domain experts (triggered by metarules from a manager) and detects the correspondend failures or anomaly state. Matching the members of the chain and regarding a catalogue of instructions and messages, what is to do by the operator, future failure states can be estimated and propagation can be prohibited. That means qualitative failure prediction based on cause consequence in the static part of the knowledge base. Also, a time series of physical data can be used to predict on analytical way future process state and to continue such a theoretical propagation with matching the cause consuquence chain
Kharlamov, Viktor; Campbell, Kenneth; Kazanina, Nina
2011-11-01
Speech sounds are not always perceived in accordance with their acoustic-phonetic content. For example, an early and automatic process of perceptual repair, which ensures conformity of speech inputs to the listener's native language phonology, applies to individual input segments that do not exist in the native inventory or to sound sequences that are illicit according to the native phonotactic restrictions on sound co-occurrences. The present study with Russian and Canadian English speakers shows that listeners may perceive phonetically distinct and licit sound sequences as equivalent when the native language system provides robust evidence for mapping multiple phonetic forms onto a single phonological representation. In Russian, due to an optional but productive t-deletion process that affects /stn/ clusters, the surface forms [sn] and [stn] may be phonologically equivalent and map to a single phonological form /stn/. In contrast, [sn] and [stn] clusters are usually phonologically distinct in (Canadian) English. Behavioral data from identification and discrimination tasks indicated that [sn] and [stn] clusters were more confusable for Russian than for English speakers. The EEG experiment employed an oddball paradigm with nonwords [asna] and [astna] used as the standard and deviant stimuli. A reliable mismatch negativity response was elicited approximately 100 msec postchange in the English group but not in the Russian group. These findings point to a perceptual repair mechanism that is engaged automatically at a prelexical level to ensure immediate encoding of speech inputs in phonological terms, which in turn enables efficient access to the meaning of a spoken utterance.
Directory of Open Access Journals (Sweden)
Maya Opendak
2017-06-01
Full Text Available Animals, including humans, require a highly coordinated and flexible system of social behavior and threat evaluation. However, trauma can disrupt this system, with the amygdala implicated as a mediator of these impairments in behavior. Recent evidence has further highlighted the context of infant trauma as a critical variable in determining its immediate and enduring consequences, with trauma experienced from an attachment figure, such as occurs in cases of caregiver-child maltreatment, as particularly detrimental. This review focuses on the unique role of caregiver presence during early-life trauma in programming deficits in social behavior and threat processing. Using data primarily from rodent models, we describe the interaction between trauma and attachment during a sensitive period in early life, which highlights the role of the caregiver’s presence in engagement of attachment brain circuitry and suppressing threat processing by the amygdala. These data suggest that trauma experienced directly from an abusive caregiver and trauma experienced in the presence of caregiver cues produce similar neurobehavioral deficits, which are unique from those resulting from trauma alone. We go on to integrate this information into social experience throughout the lifespan, including consequences for complex scenarios, such as dominance hierarchy formation and maintenance.
Strauss, Kristin; Vicari, Stefano; Valeri, Giovanni; D'Elia, Lidia; Arima, Serena; Fava, Leonardo
2012-01-01
Although early intensive behavior interventions have been efficient in producing positive behavior outcome in young children with Autism Spectrum Disorder, there is a considerable variety in the children's progress. Research has suggested that parental and treatment factors are likely to affect children's response to treatment. The purpose of the…
Early Improper Motion Detection in Golf Swings Using Wearable Motion Sensors: The First Approach
Stančin, Sara; Tomažič, Sašo
2013-01-01
This paper presents an analysis of a golf swing to detect improper motion in the early phase of the swing. Led by the desire to achieve a consistent shot outcome, a particular golfer would (in multiple trials) prefer to perform completely identical golf swings. In reality, some deviations from the desired motion are always present due to the comprehensive nature of the swing motion. Swing motion deviations that are not detrimental to performance are acceptable. This analysis is conducted using a golfer's leading arm kinematic data, which are obtained from a golfer wearing a motion sensor that is comprised of gyroscopes and accelerometers. Applying the principal component analysis (PCA) to the reference observations of properly performed swings, the PCA components of acceptable swing motion deviations are established. Using these components, the motion deviations in the observations of other swings are examined. Any unacceptable deviations that are detected indicate an improper swing motion. Arbitrarily long observations of an individual player's swing sequences can be included in the analysis. The results obtained for the considered example show an improper swing motion in early phase of the swing, i.e., the first part of the backswing. An early detection method for improper swing motions that is conducted on an individual basis provides assistance for performance improvement. PMID:23752563
Test of TEDA, Tsunami Early Detection Algorithm
Bressan, Lidia; Tinti, Stefano
2010-05-01
mainly characterized by the astronomical tide and white noise. TEDA has been tested on specific events recorded by Adak Island tide-gauge, in Alaska, and by DART buoys, located offshore Alaska, thanks to the collaboration with NCTR of PMEL/NOAA (NOAA Centre for Tsunami Research of Pacific and Marine Environmental Laboratory/National Oceanic and Atmospheric Administration). Three methods for the characterization of the background signal have been tested and compared with different characterization settings, in order to find the most appropriate calibration. To evaluate the algorithm performance, different indicators have been taken into account, such as the number of false detections, the number of events detected, the delay of detection and the duration of the tsunami alert state. Particular attention has been reserved to the number of false detections, which compromise heavily the reliability of a detection algorithm and undermine the usefulness of the algorithm itself. The method to test TEDA is presented here and is proposed as an example of procedure to evaluate the performance of the tsunami detection algorithms used in the Tsunami Early Warning Systems practice.
A causal relationship between face-patch activity and face-detection behavior.
Sadagopan, Srivatsun; Zarco, Wilbert; Freiwald, Winrich A
2017-04-04
The primate brain contains distinct areas densely populated by face-selective neurons. One of these, face-patch ML, contains neurons selective for contrast relationships between face parts. Such contrast-relationships can serve as powerful heuristics for face detection. However, it is unknown whether neurons with such selectivity actually support face-detection behavior. Here, we devised a naturalistic face-detection task and combined it with fMRI-guided pharmacological inactivation of ML to test whether ML is of critical importance for real-world face detection. We found that inactivation of ML impairs face detection. The effect was anatomically specific, as inactivation of areas outside ML did not affect face detection, and it was categorically specific, as inactivation of ML impaired face detection while sparing body and object detection. These results establish that ML function is crucial for detection of faces in natural scenes, performing a critical first step on which other face processing operations can build.
Using cross-game behavioral markers for early identification of high-risk internet gamblers.
Braverman, Julia; LaPlante, Debi A; Nelson, Sarah E; Shaffer, Howard J
2013-09-01
Using actual gambling behavior provides the opportunity to develop behavioral markers that operators can use to predict the development of gambling-related problems among their subscribers. Participants were 4,056 Internet gamblers who subscribed to the Internet betting service provider bwin.party. Half of this sample included multiple platform gamblers who were identified by bwin.party's Responsible Gambling (RG) program; the other half were controls randomly selected from those who had the same first deposit date. Using the daily aggregated Internet betting transactions for gamblers' first 31 calendar days of online betting activities at bwin.party, we employed a 2-step analytic strategy: (a) applying an exploratory chi-squared automatic interaction detection (CHAID) decision tree method to identify characteristics that distinguished a subgroup of high-risk Internet gamblers from the rest of the sample, and (b) conducting a confirmatory analysis of those characteristics among an independent validation sample. This analysis identified two high-risk groups (i.e., groups in which 90% of the members were identified by bwin.party's RG program): Group 1 engaged in three or more gambling activities and evidenced high wager variability on casino-type games; Group 2 engaged in two different gambling activities and evidenced high variability for live action wagers. This analysis advances an ongoing research program to identify potentially problematic Internet gamblers during the earliest stages of their Internet gambling. Gambling providers and public policymakers can use these results to inform early intervention programs that target high-risk Internet gamblers. PsycINFO Database Record (c) 2013 APA, all rights reserved.
Computer-aided detection of early interstitial lung diseases using low-dose CT images
Energy Technology Data Exchange (ETDEWEB)
Park, Sang Cheol; Kim, Soo Hyung [School of Electronics and Computer Engineering, Chonnam National University, Gwangju 500-757 (Korea, Republic of); Tan, Jun; Wang Xingwei; Lederman, Dror; Leader, Joseph K; Zheng Bin, E-mail: zhengb@upmc.edu [Department of Radiology, University of Pittsburgh, Pittsburgh, PA 15213 (United States)
2011-02-21
This study aims to develop a new computer-aided detection (CAD) scheme to detect early interstitial lung disease (ILD) using low-dose computed tomography (CT) examinations. The CAD scheme classifies each pixel depicted on the segmented lung areas into positive or negative groups for ILD using a mesh-grid-based region growth method and a multi-feature-based artificial neural network (ANN). A genetic algorithm was applied to select optimal image features and the ANN structure. In testing each CT examination, only pixels selected by the mesh-grid region growth method were analyzed and classified by the ANN to improve computational efficiency. All unselected pixels were classified as negative for ILD. After classifying all pixels into the positive and negative groups, CAD computed a detection score based on the ratio of the number of positive pixels to all pixels in the segmented lung areas, which indicates the likelihood of the test case being positive for ILD. When applying to an independent testing dataset of 15 positive and 15 negative cases, the CAD scheme yielded the area under receiver operating characteristic curve (AUC = 0.884 {+-} 0.064) and 80.0% sensitivity at 85.7% specificity. The results demonstrated the feasibility of applying the CAD scheme to automatically detect early ILD using low-dose CT examinations.
Combining Trust and Behavioral Analysis to Detect Security Threats in Open Environments
2010-11-01
behavioral feature values. This would provide a baseline notional object trust and is formally defined as follows: TO(1)[0, 1] = ∑ 0,n:νbt wtP (S) (8...TO(2)[0, 1] = ∑ wtP (S) · identity(O,P ) (9) 28- 12 RTO-MP-IST-091 Combining Trust and Behavioral Analysis to Detect Security Threats in Open...respectively. The wtP weight function determines the significance of a particular behavioral feature in the final trust calculation. Note that the weight
Energy Technology Data Exchange (ETDEWEB)
Nomura, Fumio, E-mail: fnomura@faculty.chiba-u.jp [Department of Molecular Diagnosis, Graduate School of Medicine, Chiba University and Divisions of Laboratory Medicine, Clinical Genetics and Proteomics, Chiba University Hospital, Chiba (Japan); Sogawa, Kazuyuki; Noda, Kenta; Seimiya, Masanori; Matsushita, Kazuyuki; Miura, Toshihide [Department of Molecular Diagnosis, Graduate School of Medicine, Chiba University and Divisions of Laboratory Medicine, Clinical Genetics and Proteomics, Chiba University Hospital, Chiba (Japan); Tomonaga, Takeshi [Laboratory of Proteome Research, National Institute of Biomedical Innovation, Ibaraki (Japan); Yoshitomi, Hideyuki [Department of General Surgery, Graduate School of Medicine, Chiba University, Chiba (Japan); Imazeki, Fumio [Department of Medicine and Clinical Oncology, Graduate School of Medicine, Chiba University, Chiba (Japan); Takizawa, Hirotaka [Kashiwado Clinic in Port-Square of the Kashiwado Memorial Foundation, Chiba (Japan); Mogushi, Kaoru [Information Center for Medical Sciences, Tokyo Dental and Medical University, Tokyo (Japan); Miyazaki, Masaru [Department of General Surgery, Graduate School of Medicine, Chiba University, Chiba (Japan); Yokosuka, Osamu [Department of Medicine and Clinical Oncology, Graduate School of Medicine, Chiba University, Chiba (Japan)
2012-05-18
Highlights: Black-Right-Pointing-Pointer Overexpression of Ku86 in human liver cancer was shown by immunohistochemistry. Black-Right-Pointing-Pointer Serum anti-Ku86 was significantly elevated in early hepatocellular carcinoma. Black-Right-Pointing-Pointer Anti-Ku86 may be more sensitive than the conventional markers for early detection. Black-Right-Pointing-Pointer Serum anti-Ku86 significantly decreased after surgical resection of liver tumors. Black-Right-Pointing-Pointer Elevation of serum anti-Ku86 in other non-liver solid tumors was minimal. -- Abstract: Hepatocellular carcinoma (HCC), the predominant form of primary liver cancer, is one of the most common cancers worldwide and the third most common cause of cancer-related death. Imaging studies including ultrasound and computed tomography are recommended for early detection of HCC, but they are operator dependent, costly and involve radiation. Therefore, there is a need for simple and sensitive serum markers for the early detection of hepatocellular carcinoma (HCC). In our recent proteomic studies, a number of proteins overexpressed in HCC tissues were identified. We thought if the serum autoantibodies to these overexpressed proteins were detectable in HCC patients. Of these proteins, we focused on Ku86, a nuclear protein involved in multiple biological processes and aimed to assess the diagnostic value of serum anti-Ku86 in the early detection of HCC. Serum samples were obtained prior to treatment from 58 consecutive patients with early or relatively early hepatitis C virus (HCV)-related HCC and 137 patients with HCV-related liver cirrhosis without evidence of HCC. Enzyme immunoassays were used to measure serum levels of autoantibodies. Serum levels of anti-Ku86 antibodies were significantly elevated in HCC patients compared to those in liver cirrhosis patients (0.41 {+-} 0.28 vs. 0.18 {+-} 0.08 Abs at 450 nm, P < 0001). Setting the cut-off level to give 90% specificity, anti-Ku86 was positive in 60.7% of
Kerr, David C.R.; Lopez, Nestor L.; Olson, Sheryl L.; Sameroff, Arnold J.
2004-01-01
We tested whether individual differences in a component of early conscience mediated relations between parental discipline and externalizing behavior problems in 238 3.5-year-olds. Parents contributed assessments of discipline practices and child moral regulation. Observations of children's behavioral restraint supplemented parental reports.…
Panyasing, Yaowalak; Kedkovid, Roongtham; Thanawongnuwech, Roongroje; Kittawornrat, Apisit; Ji, Ju; Giménez-Lirola, Luis; Zimmerman, Jeffrey
2018-03-01
Early recognition and rapid elimination of infected animals is key to controlling incursions of classical swine fever virus (CSFV). In this study, the diagnostic characteristics of 10 CSFV assays were evaluated using individual serum (n = 601) and/or oral fluid (n = 1417) samples collected from -14 to 28 days post inoculation (DPI). Serum samples were assayed by virus isolation (VI), 2 commercial antigen-capture enzyme-linked immunosorbent assays (ELISA), virus neutralization (VN), and 3 antibody ELISAs. Both serum and oral fluid samples were tested with 3 commercial real-time reverse transcription-polymerase chain reaction (rRT-PCR) assays. One or more serum samples was positive by VI from DPIs 3 to 21 and by antigen-capture ELISAs from DPIs 6 to 17. VN-positive serum samples were observed at DPIs ≥ 7 and by antibody ELISAs at DPIs ≥ 10. CSFV RNA was detected in serum samples from DPIs 2 to 28 and in oral fluid samples from DPIs 4 to 28. Significant differences in assay performance were detected, but most importantly, no single combination of sample and assay was able to dependably identify CSFV-inoculated pigs throughout the 4-week course of the study. The results show that effective surveillance for CSFV, especially low virulence strains, will require the use of PCR-based assays for the detection of early infections (<14 days) and antibody-based assays, thereafter. Copyright © 2018 Elsevier B.V. All rights reserved.
RFID-Based Human Behavior Modeling and Anomaly Detection for Elderly Care
Directory of Open Access Journals (Sweden)
Hui-Huang Hsu
2010-01-01
Full Text Available This research aimed at building an intelligent system that can detect abnormal behavior for the elderly at home. Active RFID tags can be deployed at home to help collect daily movement data of the elderly who carries an RFID reader. When the reader detects the signals from the tags, RSSI values that represent signal strength are obtained. The RSSI values are reversely related to the distance between the tags and the reader and they are recorded following the movement of the user. The movement patterns, not the exact locations, of the user are the major concern. With the movement data (RSSI values, the clustering technique is then used to build a personalized model of normal behavior. After the model is built, any incoming datum outside the model can be viewed as abnormal and an alarm can be raised by the system. In this paper, we present the system architecture for RFID data collection and preprocessing, clustering for anomaly detection, and experimental results. The results show that this novel approach is promising.
Lieberman, Robert; Kwong, Heston; Liu, Brent; Huang, H. K.
2009-02-01
The chest x-ray radiological features of tuberculosis patients are well documented, and the radiological features that change in response to successful pharmaceutical therapy can be followed with longitudinal studies over time. The patients can also be classified as either responsive or resistant to pharmaceutical therapy based on clinical improvement. We have retrospectively collected time series chest x-ray images of 200 patients diagnosed with tuberculosis receiving the standard pharmaceutical treatment. Computer algorithms can be created to utilize image texture features to assess the temporal changes in the chest x-rays of the tuberculosis patients. This methodology provides a framework for a computer-assisted detection (CAD) system that may provide physicians with the ability to detect poor treatment response earlier in pharmaceutical therapy. Early detection allows physicians to respond with more timely treatment alternatives and improved outcomes. Such a system has the potential to increase treatment efficacy for millions of patients each year.
Beginning life in a healthy uterine environment is essential for future well-being, particularly as it relates to chronic disease risk. Baseline (early pregnancy) demographic, anthropometric (height and weight), psychosocial (depression and perceived stress), and behavioral (diet and exercise) char...
Detection of Early Morning Daily Activities with Static Home and Wearable Wireless Sensors
Directory of Open Access Journals (Sweden)
David Vanderpool
2007-10-01
Full Text Available This paper describes a flexible, cost-effective, wireless in-home activity monitoring system for assisting patients with cognitive impairments due to traumatic brain injury (TBI. The system locates the subject with fixed home sensors and classifies early morning bathroom activities of daily living with a wearable wireless accelerometer. The system extracts time- and frequency-domain features from the accelerometer data and classifies these features with a hybrid classifier that combines Gaussian mixture models and a finite state machine. In particular, the paper establishes that despite similarities between early morning bathroom activities of daily living, it is possible to detect and classify these activities with high accuracy. It also discusses system training and provides data to show that with proper feature selection, accurate detection and classification are possible for any subject with no subject specific training.
Swain, Nathaniel Robert; Eadie, Patricia Ann; Prior, Margot Ruth; Reilly, Sheena
2015-07-01
Early identification of Autism Spectrum Disorder (ASD) is currently limited by the absence of reliable biological markers for the disorder, as well as the reliability of screening and assessment tools for children aged between 6 and 18 months. Ongoing research has demonstrated the importance of early social communication skills in differentiating children later diagnosed with ASD from their typically developing (TD) peers, but researchers have not yet investigated whether these differences can be detected using community-ascertained systematic observation data as early as 12 months. To investigate whether differences in early social communication skills can be detected at 12 months of age, comparing children later diagnosed with ASD, and TD peers; and to determine whether differences remain when groupings are based on age of subsequent ASD diagnosis. From a prospective community-ascertained sample, we collected data on children in early life, then conducted retrospective analyses for those children who were later diagnosed with ASD by the age of 7 years, compared with matched TD peers. We analysed standardized observational data of early communication skills, collected using the Communication and Symbolic Behavior Scales-Developmental Profile (CSBS-DP) Behavior Sample, when participants were 12 months of age. Children in the ASD group exhibited significantly lower social communication skills than the TD group, including on the Total score and Social and Symbolic Composite scores of the CSBS-DP Behavior Sample. Differences on the Total score and Social Composite were also detected for both early and late ASD diagnosis groups when compared with the TD group. These findings give further support for the importance of social communication in assessing children at risk of ASD as early as 12 months of age. Future research could evaluate the sensitivity and specificity of direct observation of these early communication skills as diagnostic indicators for ASD at 12 months
Kinetic examination of the thyroid for an early detection of localized autonomy
International Nuclear Information System (INIS)
Das, B.K.; Kissel, H.J.; Schnabel, K.
1980-01-01
Early diagnosis of localised thyroid autonomy can in many cases be of high importance for the patient. By manifesting accelerated radioiodine kinetics in suspicious lobes or regions of the thyroid, autonomies of the thyroid can be detected early and definitely. Examination covered 50 euthyroidic patients showing only an asymmetric thyroidal configuration in the scintiscan. Unilateral determining of the radioiodine kinetics at the Auger-camera helped to find out if, and in how many cases, there is really an accelerated iodine metabolism in the thyroids represented asymmetrically. Fire of the examinated patients showed, compared with the opposite side, both increased iodine uptake and accelerated iodine output in the lobes which are seen more clearly in the scintiscan. This might be an indication of a very early stage of thyroidal autonomy. (orig.) [de
Rueppell, Olav; Yousefi, Babak; Collazo, Juan; Smith, Daniel
2017-04-01
Early life stressors can affect aging and life expectancy in positive or negative ways. Individuals can adjust their behavior and molecular physiology based on early life experiences but relatively few studies have connected such mechanisms to demographic patterns in social organisms. Sociality buffers individuals from environmental influences and it is unclear how much early life stress affects later life history. Workers of the honey bee (Apis mellifera L.) were exposed to two stressors, Varroa parasitism and Paraquat exposure, early in life. Consequences were measured at the molecular, behavioral, and demographic level. While treatments did not significantly affect levels of oxidative damage, expression of select genes, and titers of the common deformed wing virus, most of these measures were affected by age. Some of the age effects, such as declining levels of deformed wing virus and oxidative damage, were opposite to our predictions but may be explained by demographic selection. Further analyses suggested some influences of worker behavior on mortality and indicated weak treatment effects on behavior. The latter effects were inconsistent among the two experiments. However, mortality rate was consistently reduced by Varroa mite stress during development. Thus, mortality was more responsive to early life stress than our other response variables. The lack of treatment effects on these measures may be due to the social organization of honey bees that buffers the individual from the impact of stressful developmental conditions. Copyright © 2017 Elsevier Inc. All rights reserved.
Clinical Perspective of 3D Total Body Photography for Early Detection and Screening of Melanoma.
Rayner, Jenna E; Laino, Antonia M; Nufer, Kaitlin L; Adams, Laura; Raphael, Anthony P; Menzies, Scott W; Soyer, H Peter
2018-01-01
Melanoma incidence continues to increase across many populations globally and there is significant mortality associated with advanced disease. However, if detected early, patients have a very promising prognosis. The methods that have been utilized for early detection include clinician and patient skin examinations, dermoscopy (static and sequential imaging), and total body photography via 2D imaging. Total body photography has recently witnessed an evolution from 2D imaging with the ability to now create a 3D representation of the patient linked with dermoscopy images of individual lesions. 3D total body photography is a particularly beneficial screening tool for patients at high risk due to their personal or family history or those with multiple dysplastic naevi-the latter can make monitoring especially difficult without the assistance of technology. In this perspective, we discuss clinical examples utilizing 3D total body photography, associated advantages and limitations, and future directions of the technology. The optimal system for melanoma screening should improve diagnostic accuracy, be time and cost efficient, and accessible to patients across all demographic and socioeconomic groups. 3D total body photography has the potential to address these criteria and, most importantly, optimize crucial early detection.
Nagi, R; Reddy-Kantharaj, Y-B; Rakesh, N; Janardhan-Reddy, S; Sahu, S
2016-07-01
Earlier detection of oral squamous cell carcinoma (OSCC) and oral potentially malignant disorders (OPMD) is essential for dental professionals to improve patient survival rates. The aim of this systematic review is to to evaluate the effectiveness of devices that utilise the principles of chemiluminescence and tissue autofluorescence as adjuncts in the detection of OSCC and OPMD. The electronic retrieval systems and databases searched for relevant articles were PubMed [MEDLINE] and Science direct. The search was for limited articles published in English or with an English abstract and articles published during the period from January 2005 to April 2014. Clinical trials utilized ViziLite, Microlux TM/DL and Visual Enhanced Light scope (VELscope) for early detection of OPMD and OSCC. Twenty primary studies published satisfied our criteria for selection - 10 utilised chemiluminescence and 10 tissue autofluorescence. Senstivity of Vizilite for detecting OSCC nad OPMD ranged from 77.1 % to 100% and specificity was low that ranged from 0% to 27.8%.Most have shown that chemiluminescence increases the brightness and margins of oral mucosal white lesions and thus assist in identification of mucosal lesions not considered under Conventional visual examination. However, it preferentially detects leukoplakia and may fail to spot red patches. Clinical trials demonstrated that sensitivity of VELscope in detecting malignancy and OPMD ranged from 22 % to 100 % and specificity ranged from 16 % to 100%. Most studies concluded that VELscope can help the experienced clinician to find oral precursor malignant lesions. But it couldnot differentiate between dysplasia and benign inflammatory conditions. Both devices are simple, non-invasive test of the oral mucosa but are suited for clinicians with sufficient experience and training. More clinical trials in future should be conducted to establish optical imaging as an efficacious adjunct tool in early diagnosis of OSCC and OPMD.
Behavior Drift Detection Based on Anomalies Identification in Home Living Quantitative Indicators
Directory of Open Access Journals (Sweden)
Fabio Veronese
2018-01-01
Full Text Available Home Automation and Smart Homes diffusion are providing an interesting opportunity to implement elderly monitoring. This is a new valid technological support to allow in-place aging of seniors by means of a detection system to notify potential anomalies. Monitoring has been implemented by means of Complex Event Processing on live streams of home automation data: this allows the analysis of the behavior of the house inhabitant through quantitative indicators. Different kinds of quantitative indicators for monitoring and behavior drift detection have been identified and implemented using the Esper complex event processing engine. The chosen solution permits us not only to exploit the queries when run “online”, but enables also “offline” (re-execution for testing and a posteriori analysis. Indicators were developed on both real world data and on realistic simulations. Tests were made on a dataset of 180 days: the obtained results prove that it is possible to evidence behavior changes for an evaluation of a person’s condition.
Kong, Qing-Ming; Lu, Shao-Hong; Tong, Qun-Bo; Lou, Di; Chen, Rui; Zheng, Bin; Kumagai, Takashi; Wen, Li-Yong; Ohta, Nobuo; Zhou, Xiao-Nong
2012-01-03
Toxoplasmosis is a widespread zoonotic parasitic disease that occurs in both animals and humans. Traditional molecular assays are often difficult to perform, especially for the early diagnosis of Toxoplasma gondii infections. Here, we established a novel loop-mediated isothermal amplification targeting the 529 bp repeat element (529 bp-LAMP) to detect T. gondii DNA in blood samples of experimental mice infected with tachyzoites of the RH strain. The assay was performed with Bst DNA polymerase at 65°C for 1 h. The detection limit of the 529 bp-LAMP assay was as low as 0.6 fg of T. gondii DNA. The sensitivity of this assay was 100 and 1000 fold higher than that of the LAMP targeting B1 gene (B1-LAMP) and nested PCR targeting 529 bp repeat element (529 bp-nested PCR), respectively. The specificity of the 529 bp-LAMP assay was determined using the DNA samples of Trypanosoma evansi, Plasmodium falciparum, Paragonimus westermani, Schistosoma japonicum, Fasciola hepatica and Angiostrongylus cantonensis. No cross-reactivity with the DNA of any parasites was found. The assay was able to detect T. gondii DNA in all mouse blood samples at one day post infection (dpi). We report the following findings: (i) The detection limit of the 529 bp-LAMP assay is 0.6 fg of T. gondii DNA; (ii) The assay does not involve any cross-reactivity with the DNA of other parasites; (iii) This is the first report on the application of the LAMP assay for early diagnosis of toxoplasmosis in blood samples from experimentally infected mice. Due to its simplicity, sensitivity and cost-effectiveness for common use, we suggest that this assay should be used as an early diagnostic tool for health control of toxoplasmosis.
Chronis-Tuscano, Andrea; Degnan, Kathryn Amey; Pine, Daniel S.; Perez-Edgar, Koraly; Henderson, Heather A.; Diaz, Yamalis; Raggi, Veronica L.; Fox, Nathan A.
2009-01-01
The odds of a lifetime diagnosis of social anxiety disorder increased by 3.79 times for children who had a stable report of behavioral inhibition from their mothers. This finding has important implications for the early identification and prevention of social anxiety disorder.
On-line early fault detection and diagnosis of municipal solid waste incinerators
International Nuclear Information System (INIS)
Zhao Jinsong; Huang Jianchao; Sun Wei
2008-01-01
A fault detection and diagnosis framework is proposed in this paper for early fault detection and diagnosis (FDD) of municipal solid waste incinerators (MSWIs) in order to improve the safety and continuity of production. In this framework, principal component analysis (PCA), one of the multivariate statistical technologies, is used for detecting abnormal events, while rule-based reasoning performs the fault diagnosis and consequence prediction, and also generates recommendations for fault mitigation once an abnormal event is detected. A software package, SWIFT, is developed based on the proposed framework, and has been applied in an actual industrial MSWI. The application shows that automated real-time abnormal situation management (ASM) of the MSWI can be achieved by using SWIFT, resulting in an industrially acceptable low rate of wrong diagnosis, which has resulted in improved process continuity and environmental performance of the MSWI
Developmental rate and behavior of early life stages of bighead carp and silver carp
Chapman, Duane C.; George, Amy E.
2011-01-01
The early life stages of Asian carp are well described by Yi and others (1988), but since these descriptions are represented by line drawings based only on live individuals and lacked temperature controls, further information on developmental time and stages is of use to expand understanding of early life stages of these species. Bighead carp and silver carp were cultured under two different temperature treatments to the one-chamber gas bladder stage, and a photographic guide is provided for bighead carp and silver carp embryonic and larval development, including notes about egg morphology and larval swimming behavior. Preliminary information on developmental time and hourly thermal units for each stage is also provided. Both carp species developed faster under warmer conditions. Developmental stages and behaviors are generally consistent with earlier works with the exception that strong vertical swimming immediately after hatching was documented in this report.
Directory of Open Access Journals (Sweden)
Tove I. Wigen
2014-12-01
Full Text Available Background: Lifestyle diseases including dental caries are partly preventable, and associated with health behavior. Establishing favorable health behavior is one main challenge both in general and dental health services. The purpose of this paper was to focus on cross-disciplinary research that has the potential to prevent development of both dental caries and other lifestyle diseases. More specifically the aim was to study how family characteristics and health behavior in pregnancy and early childhood influence caries development in preschool children.Material and methods: Data from dental examination of 5 year old children in the public dental services was linked to data from MoBa. In total, 1348 children were followed from pregnancy to 5 years of age. The data has provided opportunity to follow longitudinally the development of oral health behavior in early childhood in a large sample, and to study associations between caries development during preschool age and information in the MoBa database.Results: Results from the studies showed that tooth brushing frequency established at 1.5 year of age was stable through preschool age. Caries development in preschool age was related to child and maternal risk behavior in early childhood and to characteristics of risk families.Conclusion: Cross-disciplinary research using MoBa data has given new knowledge on dental caries development in early childhood in Norway. This knowledge can be used in clinical practice both in general and dental health services to improve preventive efforts towards early childhood caries and other lifestyle diseases.
Effect of gallic acid on the wear behavior of early carious enamel
Energy Technology Data Exchange (ETDEWEB)
Gao, S S; Huang, S B; Yu, H Y [State Key Laboratory of Oral Diseases, West China Hospital of Stomatology, Sichuan University, Chengdu 610041 (China); Qian, L M, E-mail: yhyang6812@scu.edu.c [Tribology Research Institute, National Traction Power Laboratory, Southwest Jiaotong University, Chengdu 610031 (China)
2009-06-15
The purpose of this research was to investigate the wear behavior of early carious enamel remineralized with gallic acid. Forty natural human premolar specimens with early caries lesions were prepared. A remineralization pH-cycling treatment agent of 4000 ppm gallic acid was used for 12 days to treat the early lesions. The changes in microhardness were monitored. Nanoscratch tests were used to evaluate wear resistance. The experimental data were analyzed by using a t-test. The widths of traces were measured by an AMBIOS XP-2 stylus profilometer. After remineralization, all samples re-hardened significantly. The coefficients of friction became higher, and the widths of scratches were larger than they were before remineralization. Gallic acid significantly improved the early carious enamel's hardness. The wear damage of the samples treated with gallic acid was more severe than that of the control group. There were more obvious cracks and delaminations on the traces of the treated group. Compared with the control group, the enamel remineralized with gallic acid had inferior wear resistance. After remineralization, the dominant damage mechanisms of early carious enamel had changed from plastic deformation and adhesive wear to a combination of brittle cracks and delamination of enamel.
Psychosocial predictors of sexual initiation and high-risk sexual behaviors in early adolescence
Directory of Open Access Journals (Sweden)
Schwab-Stone Mary
2007-11-01
Full Text Available Abstract Background This longitudinal study examined psychosocial factors associated with risky sexual behavior in early adolescence. Methods Data were collected through a self-report survey, the Social and Health Assessment (SAHA, which was administered in three waves between 2001 and 2003 to a cohort of incoming sixth grade students in the public school system (149 classes at 17 middle and high schools, N = 1,175 of a small northeastern city in the United States. We first examined whether internalizing and externalizing problems in sixth grade, and the rate of change in these factors during middle school, were predictive of sexual initiation two years later, when most of the sample was in eighth grade. We then assessed whether internalizing and externalizing problems in sixth grade, and the rate of change in these factors during middle school, were predictive of engaging in high risk sexual behavior over the subsequent two years. Results Externalizing factors are more predictive of sexual risk in early adolescence than are internalizing factors. Specifically, substance use and violent delinquency over the course of middle school were associated with higher, while anxiety with lower, sexual initiation rates during middle school. Additionally, increased substance use over the course of middle school was associated with greater likelihood of engaging in high risk sexual behavior. Conclusion By identifying particular psychosocial risk factors among young adolescents, the findings of this study have implications for designing multi-dimensional programs aimed at preventing health-compromising sexual behavior among young teens.
Development of Technologies for Early Detection and Stratification of Breast Cancer
2016-12-01
detection of tumors, we chose to pursue the study of clinical samples in lieu of developing more mouse models since this will yield more meaningful ...D.R. “Ultrasensitive Assays for Early Breast Cancer Detection”. Poster presentation. The Pittsburgh Conference on Analytical Chemistry and Applied...Cancer Detection”. Poster presentation. 250th American Chemical Society National Meeting and Exposition, 2015 August 16-20, Boston, MA. • Baig, S
Brophy-Herb, Holly E; Bocknek, Erika London; Vallotton, Claire D; Stansbury, Kathy E; Senehi, Neda; Dalimonte-Merckling, Danielle; Lee, Young-Eun
2015-09-01
To test the hypothesis that toddlers at highest risk for behavioral problems from the most economically vulnerable families will benefit most from maternal talk about emotions. This study included 89 toddlers and mothers from low-income families. Behavioral problems were rated at 2 time points by masters-level trained Early Head Start home visiting specialists. Maternal emotion talk was coded from a wordless book-sharing task. Coding focused on mothers' emotion bridging, which included labeling emotions, explaining the context of emotions, noting the behavioral cues of emotions, and linking emotions to toddlers' own experiences. Maternal demographic risk reflected a composite score of 5 risk factors. A significant 3-way interaction between Time 1 toddler behavior problems, maternal emotion talk, and maternal demographic risk (p = .001) and examination of slope difference tests revealed that when maternal demographic risk was greater, more maternal emotion talk buffered associations between earlier and later behavior problems. Greater demographic risk and lower maternal emotion talk intensified Time 1 behavior problems as a predictor of Time 2 behavior problems. The model explained 54% of the variance in toddlers' Time 2 behavior problems. Analyses controlled for maternal warmth to better examine the unique contributions of emotion bridging to toddlers' behaviors. Toddlers at highest risk, those with more early behavioral problems from higher demographic-risk families, benefit the most from mothers' emotion talk. Informing parents about the use of emotion talk may be a cost-effective, simple strategy to support at-risk toddlers' social-emotional development and reduce behavioral problems.
Performance of mitochondrial DNA mutations detecting early stage cancer
International Nuclear Information System (INIS)
Jakupciak, John P; Srivastava, Sudhir; Sidransky, David; O'Connell, Catherine D; Maragh, Samantha; Markowitz, Maura E; Greenberg, Alissa K; Hoque, Mohammad O; Maitra, Anirban; Barker, Peter E; Wagner, Paul D; Rom, William N
2008-01-01
Mutations in the mitochondrial genome (mtgenome) have been associated with cancer and many other disorders. These mutations can be point mutations or deletions, or admixtures (heteroplasmy). The detection of mtDNA mutations in body fluids using resequencing microarrays, which are more sensitive than other sequencing methods, could provide a strategy to measure mutation loads in remote anatomical sites. We determined the mtDNA mutation load in the entire mitochondrial genome of 26 individuals with different early stage cancers (lung, bladder, kidney) and 12 heavy smokers without cancer. MtDNA was sequenced from three matched specimens (blood, tumor and body fluid) from each cancer patient and two matched specimens (blood and sputum) from smokers without cancer. The inherited wildtype sequence in the blood was compared to the sequences present in the tumor and body fluid, detected using the Affymetrix Genechip ® Human Mitochondrial Resequencing Array 1.0 and supplemented by capillary sequencing for noncoding region. Using this high-throughput method, 75% of the tumors were found to contain mtDNA mutations, higher than in our previous studies, and 36% of the body fluids from these cancer patients contained mtDNA mutations. Most of the mutations detected were heteroplasmic. A statistically significantly higher heteroplasmy rate occurred in tumor specimens when compared to both body fluid of cancer patients and sputum of controls, and in patient blood compared to blood of controls. Only 2 of the 12 sputum specimens from heavy smokers without cancer (17%) contained mtDNA mutations. Although patient mutations were spread throughout the mtDNA genome in the lung, bladder and kidney series, a statistically significant elevation of tRNA and ND complex mutations was detected in tumors. Our findings indicate comprehensive mtDNA resequencing can be a high-throughput tool for detecting mutations in clinical samples with potential applications for cancer detection, but it is
Early Detection of Autism Spectrum Disorder in Young isiZulu-Speaking Children in South Africa
Chambers, Nola J.; Wetherby, Amy M.; Stronach, Sheri T.; Njongwe, Nonyameko; Kauchali, Shuaib; Grinker, Richard R.
2017-01-01
Culturally appropriate tools are needed for detecting symptoms of autism spectrum disorder in young South African children. The objectives of this study were to (1) adapt and translate into isiZulu existing measures for detecting early signs of autism spectrum disorder, (2) use the measures to characterize and compare behavioural profiles of young…
Iakovakis, Dimitrios; Hadjidimitriou, Stelios; Charisis, Vasileios; Bostantzopoulou, Sevasti; Katsarou, Zoe; Hadjileontiadis, Leontios J
2018-05-16
Parkinson's disease (PD) is a degenerative movement disorder causing progressive disability that severely affects patients' quality of life. While early treatment can produce significant benefits for patients, the mildness of many early signs combined with the lack of accessible high-frequency monitoring tools may delay clinical diagnosis. To meet this need, user interaction data from consumer technologies have recently been exploited towards unsupervised screening for PD symptoms in daily life. Similarly, this work proposes a method for detecting fine motor skills decline in early PD patients via analysis of patterns emerging from finger interaction with touchscreen smartphones during natural typing. Our approach relies on low-/higher-order statistical features of keystrokes timing and pressure variables, computed from short typing sessions. Features are fed into a two-stage multi-model classification pipeline that reaches a decision on the subject's status (PD patient/control) by gradually fusing prediction probabilities obtained for individual typing sessions and keystroke variables. This method achieved an AUC = 0.92 and 0.82/0.81 sensitivity/specificity (matched groups of 18 early PD patients/15 controls) with discriminant features plausibly correlating with clinical scores of relevant PD motor symptoms. These findings suggest an improvement over similar approaches, thereby constituting a further step towards unobtrusive early PD detection from routine activities.
Eshoo, Mark W.; Crowder, Christopher C.; Rebman, Alison W.; Rounds, Megan A.; Matthews, Heather E.; Picuri, John M.; Soloski, Mark J.; Ecker, David J.; Schutzer, Steven E.; Aucott, John N.
2012-01-01
Direct molecular tests in blood for early Lyme disease can be insensitive due to low amount of circulating Borrelia burgdorferi DNA. To address this challenge, we have developed a sensitive strategy to both detect and genotype B. burgdorferi directly from whole blood collected during the initial patient visit. This strategy improved sensitivity by employing 1.25 mL of whole blood, a novel pre-enrichment of the entire specimen extract for Borrelia DNA prior to a multi-locus PCR and electrospray ionization mass spectrometry detection assay. We evaluated the assay on blood collected at the initial presentation from 21 endemic area patients who had both physician-diagnosed erythema migrans (EM) and positive two-tiered serology either at the initial visit or at a follow-up visit after three weeks of antibiotic therapy. Results of this DNA analysis showed detection of B. burgdorferi in 13 of 21 patients (62%). In most cases the new assay also provided the B. burgdorferi genotype. The combined results of our direct detection assay with initial physician visit serology resulted in the detection of early Lyme disease in 19 of 21 (90%) of patients at the initial visit. In 5 of 21 cases we demonstrate the ability to detect B. burgdorferi in early Lyme disease directly from whole blood specimens prior to seroconversion. PMID:22590620
Tian, Fuyang; Cao, Dong; Dong, Xiaoning; Zhao, Xinqiang; Li, Fade; Wang, Zhonghua
2017-06-01
Behavioral features recognition was an important effect to detect oestrus and sickness in dairy herds and there is a need for heat detection aid. The detection method was based on the measure of the individual behavioural activity, standing time, and temperature of dairy using vibrational sensor and temperature sensor in this paper. The data of behavioural activity index, standing time, lying time and walking time were sent to computer by lower power consumption wireless communication system. The fast approximate K-means algorithm (FAKM) was proposed to deal the data of the sensor for behavioral features recognition. As a result of technical progress in monitoring cows using computers, automatic oestrus detection has become possible.
Directory of Open Access Journals (Sweden)
Seoksoo Kim
2010-11-01
Full Text Available This research suggests a Denial of Service (DoS detection method based on the collection of interdependent behavior data in a sensor network environment. In order to collect the interdependent behavior data, we use a base station to analyze traffic and behaviors among nodes and introduce methods of detecting changes in the environment with precursor symptoms. The study presents a DoS Detection System based on Global Interdependent Behaviors and shows the result of detecting a sensor carrying out DoS attacks through the test-bed.
Hughes, Lucinda; Zhu, Fang; Ross, Eric; Gross, Laura; Uzzo, Robert G.; Chen, David Y. T.; Viterbo, Rosalia; Rebbeck, Timothy R.; Giri, Veda N.
2011-01-01
Background Men with familial prostate cancer (PCA) and African American men are at risk for developing PCA at younger ages. Genetic markers predicting early-onset PCA may provide clinically useful information to guide screening strategies for high-risk men. We evaluated clinical information from six polymorphisms associated with early-onset PCA in a longitudinal cohort of high-risk men enrolled in PCA early detection with significant African American participation. Methods Eligibility criteria include ages 35–69 with a family history of PCA or African American race. Participants undergo screening and biopsy per study criteria. Six markers associated with early-onset PCA (rs2171492 (7q32), rs6983561 (8q24), rs10993994 (10q11), rs4430796 (17q12), rs1799950 (17q21), and rs266849 (19q13)) were genotyped. Cox models were used to evaluate time to PCA diagnosis and PSA prediction for PCA by genotype. Harrell’s concordance index was used to evaluate predictive accuracy for PCA by PSA and genetic markers. Results 460 participants with complete data and ≥1 follow-up visit were included. 56% were African American. Among African American men, rs6983561 genotype was significantly associated with earlier time to PCA diagnosis (p=0.005) and influenced prediction for PCA by the PSA (p<0.001). When combined with PSA, rs6983561 improved predictive accuracy for PCA compared to PSA alone among African American men (PSA= 0.57 vs. PSA+rs6983561=0.75, p=0.03). Conclusions Early-onset marker rs6983561 adds potentially useful clinical information for African American men undergoing PCA risk assessment. Further study is warranted to validate these findings. Impact Genetic markers of early-onset PCA have potential to refine and personalize PCA early detection for high-risk men. PMID:22144497
Hanson, Jamie L; Chung, Moo K; Avants, Brian B; Shirtcliff, Elizabeth A; Gee, James C; Davidson, Richard J; Pollak, Seth D
2010-06-02
Individuals who experience early adversity, such as child maltreatment, are at heightened risk for a broad array of social and health difficulties. However, little is known about how this behavioral risk is instantiated in the brain. Here we examine a neurobiological contribution to individual differences in human behavior using methodology appropriate for use with pediatric populations paired with an in-depth measure of social behavior. We show that alterations in the orbitofrontal cortex among individuals who experienced physical abuse are related to social difficulties. These data suggest a biological mechanism linking early social learning to later behavioral outcomes.
Directory of Open Access Journals (Sweden)
Amit Goel
Full Text Available The early diagnosis of diabetic peripheral neuropathy (DPN is challenging. Sudomotor dysfunction is one of the earliest detectable abnormalities in DPN. The present study aimed to determine the diagnostic performance of the electrochemical skin conductance (ESC test in detecting early DPN, compared with the vibration perception threshold (VPT test and diabetic neuropathy symptom (DNS score, using the modified neuropathy disability score (NDS as the reference standard. Five hundred and twenty-three patients with type 2 diabetes underwent an NDS-based clinical assessment for neuropathy. Participants were classified into the DPN and non-DPN groups based on the NDS (≥ 6. Both groups were evaluated further using the DNS, and VPT and ESC testing. A receiver-operator characteristic (ROC curve analysis was performed to compare the efficacy of ESC measurements with those of DNS and VPT testing in detecting DPN. The DPN group (n = 110, 21% had significantly higher HbA1c levels and longer diabetes durations compared with the non-DPN group (n = 413. The sensitivity of feet ESC 15 V, and DNS ≥ 1, were 16.4, 10.9 and 1.8, respectively. ESC measurement is an objective and sensitive technique for the early detection of DPN. Feet ESC measurement was superior to VPT testing for identifying patients with early DPN.
Newborn hearing screening and strategy for early detection of hearing loss in infants.
Jakubíková, Janka; Kabátová, Zuzana; Pavlovcinová, Gabriela; Profant, Milan
2009-04-01
More than 80% of permanent hearing losses (HL) in children are congenital. Newborn hearing screening (NHS) is the best method for early detection of suspected hearing loss. If the NHS is not universal more than 30% permanent hearing losses are not identified. There are various methods of NHS: otoacoustic emissions (TEOAE, DPOAE) and automatic auditory brainstem response (AABR). After hearing screening, and when hearing loss is suspected, tympanometry and audiological methods then used for determination of hearing threshold; these include ABR, ASSR or/and behavioral methods. The goal of this study is to evaluate the influence of UNHS on the early detection of hearing loss in children before and after the implementation of obligatory universal newborn hearing screening in Slovakia, and also on the etiologic evaluation of hearing impaired infants identified by screening. In Slovakia NHS started in 1998 and was provided in ENT departments. From May 1, 2006 UNHS has been mandatory in Slovakia, using two stages TEOAE in all newborn departments in Slovakia (64 newborn departments). In year 2005--42% of newborns in Slovakia were screened, in 2006--66% newborns and in 2007--94, 99% (three small newborn departments do not yet have equipment for OAE screening). For determination of hearing thresholds ASSR are used in two ENT departments and ABR in the other four ENT departments. Comparing the number of identified cases with bilateral severe permanent HL or deafness before and after UNHS, 22.8% more cases of PHL were identified in the first year of UNHS. Also the average age of diagnosis of PHL was lower. In the year 2007, 94% of newborns were screened. We found 0.947/1000 newborns with bilateral severe PHL (35.9%) more than before UNHS). After audiologic and etiologic assessment of the 76 infants who failed screening, 5 (6.58%) were found to have normal hearing, 16 (22.54%) had unilateral and 55 (77.46%) had bilateral SNHL. A non-syndromic genetic cause was present in 25
Lambert, Martin; Schöttle, Daniel; Sengutta, Mary; Ruppelt, Friederike; Rohenkohl, Anja; Luedecke, Daniel; Nawara, Luise Antonia; Galling, Britta; Falk, Anne-Lena; Wittmann, Linus; Niehaus, Vivien; Sarikaya, Gizem; Handwerk, Ute; Rothländer, Wiebke; Rietschel, Liz; Gagern, Charlotte; Lange, Benjamin; Meigel-Schleiff, Christina; Naber, Dieter; Schulte-Markwort, Michael; Krüger, Helmut; Unger, Hans-Peter; Sippel, Sven; Ott, Sabine; Romer, Georg; Daubmann, Anne; Wegscheider, Karl; Correll, Christoph U; Schimmelmann, Benno G; Bock, Thomas; Gallinat, Jürgen; Karow, Anne
2018-02-01
The Integrated Care in Early Psychosis (ACCESS III) Study examined the efficacy and cost-effectiveness of a combined intervention consisting of strategies to improve early detection and quality of care (integrated care including therapeutic assertive community treatment) in adolescents and young adults in the early phase of a severe psychotic disorder from 2011 to 2014. This is a prospective, single-centre, 1-year cohort study comparing an intervention condition (early detection plus integrated care, n = 120) to the historical control condition (standard care, SC, n = 105) for adolescents and young adults aged 12-29 years suffering from a severe, early-phase psychotic disorder (i.e. within 2 years of treatment). Primary outcome is the rate of combined symptomatic (i.e. Positive and Negative Syndrome Scale (PANSS) criteria) and functional (i.e. Global Assessment of Functioning scale (GAF) ≥ 60 points criterion) remission over at least 6 months at study endpoint. Secondary outcome comprises the comparison of the reduction in the duration of untreated psychosis within the 4-year study duration between integrated care and SC, course of psychopathology, functioning, quality of life, satisfaction with care, cost and quality-adjusted life years (QALYs) in comparison to a historical control group. To the authors' knowledge, this is the first study assessing the efficacy and cost-effectiveness of a combined intervention consisting of early detection strategies and strategies to improve quality of care in both adolescents and young adults with early-phase psychosis. The results will be published in 2016. © 2016 John Wiley & Sons Australia, Ltd.
Fridjonsson, E.O.; Vogt, S.J.; Vrouwenvelder, Johannes S.; Johns, M.L.
2015-01-01
We demonstrate the use of Earth's field (EF) Nuclear Magnetic Resonance (NMR) to provide early non-destructive detection of active biofouling of a commercial spiral wound reverse osmosis (RO) membrane module. The RO membrane module was actively biofouled to different extents, by the addition of biodegradable nutrients to the feed stream, as revealed by a subtle feed-channel pressure drop increase. Easily accessible EF NMR parameters (signal relaxation parameters T1, T2 and the total NMR signal modified to be sensitive to stagnant fluid only) were measured and analysed in terms of their ability to detect the onset of biofouling. The EF NMR showed that fouling near the membrane module entrance significantly distorted the flow field through the whole membrane module. The total NMR signal is shown to be suitable for non-destructive early biofouling detection of spiral wound membrane modules, it was readily deployed at high (operational) flow rates, was particularly sensitive to flow field changes due to biofouling and could be deployed at any position along the membrane module axis. In addition to providing early fouling detection, the mobile EF NMR apparatus could also be used to (i) evaluate the production process of spiral wound membrane modules, and (ii) provide an in-situ determination of module cleaning process efficiency.
Fridjonsson, E.O.
2015-04-20
We demonstrate the use of Earth\\'s field (EF) Nuclear Magnetic Resonance (NMR) to provide early non-destructive detection of active biofouling of a commercial spiral wound reverse osmosis (RO) membrane module. The RO membrane module was actively biofouled to different extents, by the addition of biodegradable nutrients to the feed stream, as revealed by a subtle feed-channel pressure drop increase. Easily accessible EF NMR parameters (signal relaxation parameters T1, T2 and the total NMR signal modified to be sensitive to stagnant fluid only) were measured and analysed in terms of their ability to detect the onset of biofouling. The EF NMR showed that fouling near the membrane module entrance significantly distorted the flow field through the whole membrane module. The total NMR signal is shown to be suitable for non-destructive early biofouling detection of spiral wound membrane modules, it was readily deployed at high (operational) flow rates, was particularly sensitive to flow field changes due to biofouling and could be deployed at any position along the membrane module axis. In addition to providing early fouling detection, the mobile EF NMR apparatus could also be used to (i) evaluate the production process of spiral wound membrane modules, and (ii) provide an in-situ determination of module cleaning process efficiency.
Bersan, Silvia; Koelewijn, André R.; Simonini, Paolo
2018-02-01
Internal erosion is the cause of a significant percentage of failure and incidents involving both dams and river embankments in many countries. In the past 20 years the use of fibre-optic Distributed Temperature Sensing (DTS) in dams has proved to be an effective tool for the detection of leakages and internal erosion. This work investigates the effectiveness of DTS for dike monitoring, focusing on the early detection of backward erosion piping, a mechanism that affects the foundation layer of structures resting on permeable, sandy soils. The paper presents data from a piping test performed on a large-scale experimental dike equipped with a DTS system together with a large number of accompanying sensors. The effect of seepage and piping on the temperature field is analysed, eventually identifying the processes that cause the onset of thermal anomalies around piping channels and thus enable their early detection. Making use of dimensional analysis, the factors that influence this thermal response of a dike foundation are identified. Finally some tools are provided that can be helpful for the design of monitoring systems and for the interpretation of temperature data.
Directory of Open Access Journals (Sweden)
Yoo Jin Lee
Full Text Available The presence of ulcer in early gastric cancer (EGC is important for the feasibility of endoscopic resection, only a few studies have examined the clinicopathological implications of endoscopic ulcer in EGC.To determine the role of endoscopic ulcer as a predictor of clinical behaviors in EGC.Data of 3,270 patients with EGC who underwent surgery between January 2005 and December 2012 were reviewed. Clinicopathological characteristics were analyzed in relation to the presence and stage of ulcer in EGC. Based on endoscopic findings, the stage of ulcer was categorized as active, healing, or scar. Logistic regression analysis was performed to analyze factors associated with lymph node metastasis (LNM.2,343 (71.7% patients had endoscopic findings of ulceration in EGC. Submucosal (SM invasion, LNM, lymphovascular invasion (LVI, perineural invasion, and undifferentiated-type histology were significantly higher in ulcerative than non-ulcerative EGC. Comparison across different stages of ulcer revealed that SM invasion, LNM, and LVI were significantly associated with the active stage, and that these features exhibited significant stage-based differences, being most common at the active stage, and least common at the scar stage. The presence of endoscopic ulcer and active status of the ulcer were identified as independent risk factors for LNM.Ulcerative EGC detected by endoscopy exhibited more aggressive behaviors than non-ulcerative EGC. Additionally, the endoscopic stage of ulcer may predict the clinicopathological behaviors of EGC. Therefore, the appearance of ulcers should be carefully evaluated to determine an adequate treatment strategy for EGC.
Tung, Irene; Noroña, Amanda N; Morgan, Julia E; Caplan, Barbara; Lee, Steve S; Baker, Bruce L
2018-03-14
Although parenting behavior and friendship quality predict adolescent externalizing behaviors (EBs), individual differences in temperament may differentially affect susceptibility to these factors over time. In a multi-method and multi-informant study of 141 children followed prospectively from toddlerhood to adolescence, we tested the independent and interactive associations of age 3 reactive temperament (e.g., negative emotionality) and age 13 observed parenting (i.e., positive and negative behavior) and friendship (i.e., conflict and warmth), with multi-informant ratings of age 15 aggression and rule-breaking behavior. Negative parenting predicted growth in parent-rated EB, but only for adolescents with early reactive temperament. Temperament did not affect sensitivity to positive parenting or friendship. Results are discussed in the context of differential susceptibility theory and intervention implications for adolescents. © 2018 Society for Research on Adolescence.
Denham, Susanne A; Bassett, Hideko Hamada; Thayer, Sara K; Mincic, Melissa S; Sirotkin, Yana S; Zinsser, Katherine
2012-01-01
Social-emotional behavior of 352 3- and 4-year-olds attending private child-care and Head Start programs was observed using the Minnesota Preschool Affect Checklist, Revised (MPAC-R). Goals of the investigation included (a) using MPAC-R data to extract a shortened version, MPAC-R/S, comparing structure, internal consistency, test-retest reliability, and stability of both versions; and, using the shortened measure, to examine (b) age, gender, and risk status differences in social-emotional behaviors; (c) contributions of emotion knowledge and executive function to social-emotional behaviors; and (d) contributions of social-emotional behaviors to early school adjustment and kindergarten academic success. Results show that reliability of MPAC-R/S was as good, or better, than the MPAC-R. MPAC-R/S structure, at both times of observation, included emotionally negative/aggressive, emotionally regulated/prosocial, and emotionally positive/productive behaviors; MPAC-R structure was similar but less replicable over time. Age, gender, and risk differences were found. Children's emotion knowledge contributed to later emotionally regulated/prosocial behavior. Finally, preschool emotionally negative/aggressive behaviors were associated with concurrent and kindergarten school success, and there was evidence of social-emotional behavior mediating relations between emotion knowledge or executive function, and school outcomes. The importance of portable, empirically supported observation measures of social-emotional behaviors is discussed along with possible applications, teacher utilization, and implementation barriers.
Computer-aided detection of early cancer in the esophagus using HD endoscopy images
van der Sommen, Fons; Zinger, Svitlana; Schoon, Erik J.; de With, Peter H. N.
2013-02-01
Esophageal cancer is the fastest rising type of cancer in the Western world. The recent development of High-Definition (HD) endoscopy has enabled the specialist physician to identify cancer at an early stage. Nevertheless, it still requires considerable effort and training to be able to recognize these irregularities associated with early cancer. As a first step towards a Computer-Aided Detection (CAD) system that supports the physician in finding these early stages of cancer, we propose an algorithm that is able to identify irregularities in the esophagus automatically, based on HD endoscopic images. The concept employs tile-based processing, so our system is not only able to identify that an endoscopic image contains early cancer, but it can also locate it. The identification is based on the following steps: (1) preprocessing, (2) feature extraction with dimensionality reduction, (3) classification. We evaluate the detection performance in RGB, HSI and YCbCr color space using the Color Histogram (CH) and Gabor features and we compare with other well-known features to describe texture. For classification, we employ a Support Vector Machine (SVM) and evaluate its performance using different parameters and kernel functions. In experiments, our system achieves a classification accuracy of 95.9% on 50×50 pixel tiles of tumorous and normal tissue and reaches an Area Under the Curve (AUC) of 0.990. In 22 clinical examples our algorithm was able to identify all (pre-)cancerous regions and annotate those regions reasonably well. The experimental and clinical validation are considered promising for a CAD system that supports the physician in finding early stage cancer.
Leveraging biospecimen resources for discovery or validation of markers for early cancer detection.
Schully, Sheri D; Carrick, Danielle M; Mechanic, Leah E; Srivastava, Sudhir; Anderson, Garnet L; Baron, John A; Berg, Christine D; Cullen, Jennifer; Diamandis, Eleftherios P; Doria-Rose, V Paul; Goddard, Katrina A B; Hankinson, Susan E; Kushi, Lawrence H; Larson, Eric B; McShane, Lisa M; Schilsky, Richard L; Shak, Steven; Skates, Steven J; Urban, Nicole; Kramer, Barnett S; Khoury, Muin J; Ransohoff, David F
2015-04-01
Validation of early detection cancer biomarkers has proven to be disappointing when initial promising claims have often not been reproducible in diagnostic samples or did not extend to prediagnostic samples. The previously reported lack of rigorous internal validity (systematic differences between compared groups) and external validity (lack of generalizability beyond compared groups) may be effectively addressed by utilizing blood specimens and data collected within well-conducted cohort studies. Cohort studies with prediagnostic specimens (eg, blood specimens collected prior to development of clinical symptoms) and clinical data have recently been used to assess the validity of some early detection biomarkers. With this background, the Division of Cancer Control and Population Sciences (DCCPS) and the Division of Cancer Prevention (DCP) of the National Cancer Institute (NCI) held a joint workshop in August 2013. The goal was to advance early detection cancer research by considering how the infrastructure of cohort studies that already exist or are being developed might be leveraged to include appropriate blood specimens, including prediagnostic specimens, ideally collected at periodic intervals, along with clinical data about symptom status and cancer diagnosis. Three overarching recommendations emerged from the discussions: 1) facilitate sharing of existing specimens and data, 2) encourage collaboration among scientists developing biomarkers and those conducting observational cohort studies or managing healthcare systems with cohorts followed over time, and 3) conduct pilot projects that identify and address key logistic and feasibility issues regarding how appropriate specimens and clinical data might be collected at reasonable effort and cost within existing or future cohorts. © Published by Oxford University Press 2015.
Chen, Xueli; Liang, Jimin; Hu, Hao; Qu, Xiaochao; Yang, Defu; Chen, Duofang; Zhu, Shouping; Tian, Jie
2012-03-01
Gastric cancer is the second cause of cancer-related death in the world, and it remains difficult to cure because it has been in late-stage once that is found. Early gastric cancer detection becomes an effective approach to decrease the gastric cancer mortality. Bioluminescence tomography (BLT) has been applied to detect early liver cancer and prostate cancer metastasis. However, the gastric cancer commonly originates from the gastric mucosa and grows outwards. The bioluminescent light will pass through a non-scattering region constructed by gastric pouch when it transports in tissues. Thus, the current BLT reconstruction algorithms based on the approximation model of radiative transfer equation are not optimal to handle this problem. To address the gastric cancer specific problem, this paper presents a novel reconstruction algorithm that uses a hybrid light transport model to describe the bioluminescent light propagation in tissues. The radiosity theory integrated with the diffusion equation to form the hybrid light transport model is utilized to describe light propagation in the non-scattering region. After the finite element discretization, the hybrid light transport model is converted into a minimization problem which fuses an l1 norm based regularization term to reveal the sparsity of bioluminescent source distribution. The performance of the reconstruction algorithm is first demonstrated with a digital mouse based simulation with the reconstruction error less than 1mm. An in situ gastric cancer-bearing nude mouse based experiment is then conducted. The primary result reveals the ability of the novel BLT reconstruction algorithm in early gastric cancer detection.
Directory of Open Access Journals (Sweden)
Marla Reicks
2015-10-01
Full Text Available Among early adolescents (10–14 years, poor diet quality along with physical inactivity can contribute to an increased risk of obesity and associated biomarkers for chronic disease. Approximately one-third of United States (USA children in this age group are overweight or obese. Therefore, attention to factors affecting dietary intake as one of the primary contributors to obesity is important. Early adolescents consume foods and beverages during eating occasions that occur with and without parental supervision. Parents may influence eating behaviors of early adolescents during eating occasions when they are present or during independent eating occasions by engaging in practices that affect availability of foods and beverages, and through perceived normative beliefs and expectations for intake. Therefore, the purpose of this article was to describe the influence of parenting practices on eating behaviors in general and when specifically applied to independent eating occasions of early adolescents. This information may be helpful to inform parenting interventions targeting obesity prevention among early adolescents focusing on independent eating occasions.
Tumor-associated auto-antibodies as early detection markers for ovarian cancer?
DEFF Research Database (Denmark)
Kaaks, Rudolf; Fortner, Renée Turzanski; Hüsing, Anika
2018-01-01
.08-0.40] for CTAG1A, CTAG2 and NUDT1 to 0.23 [0.10-0.44] for P53 (0.33 [0.11-0.68] for high-grade serous tumors). However, at longer lead-times the ability of these AAb markers to distinguish future ovarian cancer cases from controls declined rapidly; at lead times >1 year, SE98 estimates were close to zero (all...... invasive cases, range: 0.01-0.11). Compared to CA125 alone, combined logistic regression scores of AAbs and CA125 did not improve detection sensitivity at equal level of specificity. The added value of these selected AAbs as markers for ovarian cancer beyond CA125 for early detection is therefore limited...
Neural correlates associated with superior tactile symmetry perception in the early blind
Bauer, Corinna; Yazzolino, Lindsay; Hirsch, Gabriella; Cattaneo, Zaira; Vecchi, Tomaso; Merabet, Lotfi B.
2014-01-01
Symmetry is an organizational principle that is ubiquitous throughout the visual world. However, this property can also be detected through non-visual modalities such as touch. The role of prior visual experience on detecting tactile patterns containing symmetry remains unclear. We compared the behavioral performance of early blind and sighted (blindfolded) controls on a tactile symmetry detection task. The tactile patterns used were similar in design and complexity as in previous visual perc...
18F-fluorodeoxyglucose PET and PET-CT in early detection of cancer recurrent
International Nuclear Information System (INIS)
Xing Yan; Zhao Jinhua
2007-01-01
Early detection of recurrent can improve prognosis and survival of patients with cancer. 18 F- fluorodeoxyglucose( 18 F-FDG) PET can detect metabolic changes before structural changes. The fused imaging provided by PET-CT can precisely localize the foci and demonstrate the complementary roles of functional and anatomic assessments in the diagnosis of cancer recurrence. In addition to the accurate diagnosis and definition of the whole extent of recurrent cancer, 18 F-FDG PET and PET-CT can impact patients management. (authors)
International Nuclear Information System (INIS)
Deana, A M; Jesus, S H C; Koshoji, N H; Bussadori, S K; Oliveira, M T
2013-01-01
Currently, dental caries still represent one of the chronic diseases with the highest prevalence and present in most countries. The interaction between light and teeth (absorption, scattering and fluorescence) is intrinsically connected to the constitution of the dental tissue. Decay induced mineral loss introduces a shift in the optical properties of the affected tissue; therefore, study of these properties may produce novel techniques aimed at the early diagnosis of carious lesions. Based on the optical properties of the enamel, we demonstrate the application of first-order spatial statistics in laser speckle imaging, allowing the detection of carious lesions in their early stages. A highlight of this noninvasive, non-destructive, real time and cost effective approach is that it allows a dentist to detect a lesion even in the absence of biofilm or moisture. (paper)
Yuan, Liming; Smith, Alex C
In this study, computational fluid dynamics (CFD) modeling was conducted to optimize gas sampling locations for the early detection of spontaneous heating in longwall gob areas. Initial simulations were carried out to predict carbon monoxide (CO) concentrations at various regulators in the gob using a bleeder ventilation system. Measured CO concentration values at these regulators were then used to calibrate the CFD model. The calibrated CFD model was used to simulate CO concentrations at eight sampling locations in the gob using a bleederless ventilation system to determine the optimal sampling locations for early detection of spontaneous combustion.
Fulton, Elizabeth; Eapen, Valsamma; Crnčec, Rudi; Walter, Amelia; Rogers, Sally
2014-01-01
The presence of maladaptive behaviors in young people with autism spectrum disorder (ASD) can significantly limit engagement in treatment programs, as well as compromise future educational and vocational opportunities. This study aimed to explore whether the Early Start Denver Model (ESDM) treatment approach reduced maladaptive behaviors in preschool-aged children with ASD in a community-based long day care setting. The level of maladaptive behavior of 38 children with ASD was rated using an observation-based measure on three occasions during the intervention: on entry, 12 weeks post-entry, and on exit (post-intervention) over an average treatment duration of 11.8 months. Significant reductions were found in children's maladaptive behaviors over the course of the intervention, with 68% of children showing a treatment response by 12 weeks and 79% on exit. This change was accompanied by improvement in children's overall developmental level as assessed by the Mullen scales of early learning, but not by significant changes on the Vineland Adaptive Behavior Scales-II or Social Communication Questionnaire. Replication with a larger sample, control conditions, and additional measures of maladaptive behavior is necessary in order to determine the specific factors underlying these improvements; however, the findings of the present study suggest that the ESDM program may be effective in improving not only core developmental domains, but also decreasing maladaptive behaviors in preschool-aged children with ASD.
Directory of Open Access Journals (Sweden)
Elizabeth eFulton
2014-05-01
Full Text Available The presence of maladaptive behaviors in young people with Autism Spectrum Disorder (ASD can significantly limit engagement in treatment programs, as well as compromise future educational and vocational opportunities. This study aimed to explore whether the Early Start Denver Model (ESDM treatment approach reduced maladaptive behaviors in preschool-aged children with ASD in a community-based long day care setting. The level of maladaptive behavior of 38 children with ASD was rated using an observation based measure on three occasions during the intervention: on entry, 12 weeks post-entry, and on exit (post-intervention over an average treatment duration of 11.8 months. Significant reductions were found in children’s maladaptive behaviors over the course of the intervention, with 68% of children showing a treatment response by 12 weeks and 79% on exit. This change was accompanied by improvement in children’s overall developmental level as assessed by the Mullen Scales of Early Learning, but not by significant changes on the Vineland Adaptive Behavior Scales-II or Social Communication Questionnaire. Replication with a larger sample, control conditions and additional measures of maladaptive behavior is necessary in order to determine the specific factors underlying these improvements; however, the findings of the present study suggest that the ESDM program may be effective in improving not only core developmental domains, but also decreasing maladaptive behaviors in preschool-aged children.
Outcome of early detection and radiotherapy for occult spinal cord compression
International Nuclear Information System (INIS)
Venkitaraman, Ramachandran; Barbachano, Yolanda; Dearnaley, David P.; Parker, Christopher C.; Khoo, Vincent; Huddart, Robert A.; Eeles, Rosalind; Horwich, Alan; Aslam Sohaib, S.
2007-01-01
Retrospective analysis in 150 patients with metastatic prostate cancer was conducted to determine whether early detection with MRI spine and treatment of clinically occult spinal cord compromise (SCC) facilitate preservation of neurologic function. Our results suggest that prophylactic radiotherapy for patients with back pain or radiological SCC without neurologic deficit may facilitate preservation of neurologic function. Thus MRI surveillance for SCC may be important for prostate cancer patients with bone metastases
Early detection and monitoring of Malaria
Rahman, Md Z.; Roytman, Leonid; Kadik, Abdelhamid; Miller, Howard; Rosy, Dilara A.
2015-05-01
Global Earth Observation Systems of Systems (GEOSS) are bringing vital societal benefits to people around the globe. In this research article, we engage undergraduate students in the exciting area of space exploration to improve the health of millions of people globally. The goal of the proposed research is to place students in a learning environment where they will develop their problem solving skills in the context of a world crisis (e.g., malaria). Malaria remains one of the greatest threats to public health, particularly in developing countries. The World Health Organization has estimated that over one million die of Malaria each year, with more than 80% of these found in Sub-Saharan Africa. The mosquitoes transmit malaria. They breed in the areas of shallow surface water that are suitable to the mosquito and parasite development. These environmental factors can be detected with satellite imagery, which provide high spatial and temporal coverage of the earth's surface. We investigate on moisture, thermal and vegetation stress indicators developed from NOAA operational environmental satellite data. Using these indicators and collected epidemiological data, it is possible to produce a forecast system that can predict the risk of malaria for a particular geographical area with up to four months lead time. This valuable lead time information provides an opportunity for decision makers to deploy the necessary preventive measures (spraying, treated net distribution, storing medications and etc) in threatened areas with maximum effectiveness. The main objective of the proposed research is to study the effect of ecology on human health and application of NOAA satellite data for early detection of malaria.
Energy Technology Data Exchange (ETDEWEB)
Xie, Jun; Xue, Sheng [CSIRO Earth Science and Resource Engineering, Kenmore (Australia); Cheng, Weimin; Wang, Gang [Shandong University of Science and Technology, Qingdao (China)
2011-01-01
Spontaneous combustion of coal (sponcom) is a major hazard in underground coal mining operations. If not detected early and managed properly, it can seriously affect mine safety and productivity. Gaseous products of sponcom, such as carbon monoxide, ethylene and hydrogen, are commonly used in coal mines as indicators to reflect the state of the sponcom. Studies have shown that ethylene starts to occur when sponcom reaches a characteristic temperature. However, due to dilution of ventilation air and detection limits of the instruments used for gas analysis at coal mines, ethylene cannot be detected until the sponcom has developed past its early stage, missing an optimum opportunity for mine operators to control the hazard. To address the issue, an ethylene-enriching system, based on its physical adsorption and desorption properties, has been developed to increase detection sensitivity of the ethylene concentration in mine air by about 10 times. This system has successfully been applied in a number of underground coal mines in China to detect sponcom at its early stage and enable mine operators to take effective control measures. This paper describes the ethylene enriching system and its application. (author)
Véronneau, Marie-Hélène; Dishion, Thomas J
2010-11-01
The transition into middle school may be a risky period in early adolescence. In particular, friendships, peer status, and parental monitoring during this developmental period can influence the development of problem behavior. This study examined interrelationships among peer and parenting factors that predict changes in problem behavior over the middle school years. A longitudinal sample (580 boys, 698 girls) was assessed in Grades 6 and 8. Peer acceptance, peer rejection, and their interaction predicted increases in problem behavior. Having high-achieving friends predicted less problem behavior. Parental monitoring predicted less problem behavior in general, but also acted as a buffer for students who were most vulnerable to developing problem behavior on the basis of being well liked by some peers, and also disliked by several others. These findings highlight the importance of studying the family-peer mesosystem when considering risk and resilience in early adolescence, and when considering implications for intervention.
Fulton, Elizabeth; Eapen, Valsamma; Črnčec, Rudi; Walter, Amelia; Rogers, Sally
2014-01-01
The presence of maladaptive behaviors in young people with autism spectrum disorder (ASD) can significantly limit engagement in treatment programs, as well as compromise future educational and vocational opportunities. This study aimed to explore whether the Early Start Denver Model (ESDM) treatment approach reduced maladaptive behaviors in preschool-aged children with ASD in a community-based long day care setting. The level of maladaptive behavior of 38 children with ASD was rated using an ...
Elizabeth eFulton; Elizabeth eFulton; Valsamma eEapen; Valsamma eEapen; Rudi eČrnčec; Amelia eWalter; Amelia eWalter; Sally eRogers
2014-01-01
The presence of maladaptive behaviors in young people with Autism Spectrum Disorder (ASD) can significantly limit engagement in treatment programs, as well as compromise future educational and vocational opportunities. This study aimed to explore whether the Early Start Denver Model (ESDM) treatment approach reduced maladaptive behaviors in preschool-aged children with ASD in a community-based long day care setting. The level of maladaptive behavior of 38 children with ASD was rated using an ...
Behavior as a sentry of metal toxicity
Energy Technology Data Exchange (ETDEWEB)
Weiss, B.
1978-01-01
Many of the toxic properties of metals are expressed as behavioral aberrations. Some of these arise from direct actions on the central nervous system. Others arise from primary events elsewhere, but still influence behavior. Toxicity may be expressed either as objectively measurable phenomena, such as ataxia, or as subjective complaints, such as depression. In neither instance is clinical medicine equipped to provide assessments of subtle, early indices of toxicity. Reviewers of visual disturbances, paresthesia, and mental retardation exemplify the potential contribution of psychology to the toxicology of metals. Behavior and nervous system functions act as sensitive mirrors of metal toxicity. Sensitivity is the prime aim in environmental health assessments. Early detection of adverse effects, before they progress to irreversibility, underlies the strategy for optimal health protection. Some of the toxic actions of metals originate in direct nervous system dysfunction. Others may reflect disturbances of systems less directly linked to behavior than the central nervous system. But behavior, because it expresses the integrated functioning of the organism, can indicate flaws in states and processes outside the nervous system.
MAOA-uVNTR and early physical discipline interact to influence delinquent behavior.
Edwards, Alexis C; Dodge, Kenneth A; Latendresse, Shawn J; Lansford, Jennifer E; Bates, John E; Pettit, Gregory S; Budde, John P; Goate, Alison M; Dick, Danielle M
2010-06-01
A functional polymorphism in the promoter region of the monoamine oxidizing gene monoamine oxidase A (MAOA) has been associated with behavioral sensitivity to adverse environmental conditions in multiple studies (e.g., Caspi et al. 2002; Kim-Cohen et al., 2006). The present study investigates the effects of genotype and early physical discipline on externalizing behavior. We expand on the current literature in our assessment of externalizing, incorporating information across multiple reporters and over a broad developmental time period, and in our understanding of environmental risk. This study uses data from the Child Development Project, an ongoing longitudinal study following a community sample of children beginning at age 5. Physical discipline before age 6 was quantified using a subset of questions from the Conflict Tactics Scale (Straus, 1979). Externalizing behavior was assessed in the male, European-American sub-sample (N = 250) by parent, teacher, and self-report using Achenbach's Child Behavior Checklist, Teacher Report Form, and Youth Self-Report (Achenbach, 1991), at 17 time points from ages 6 to 22. Regression analyses tested the influence of genotype, physical discipline, and their interaction on externalizing behavior, and its subscales, delinquency and aggression. We found a significant interaction effect between genotype and physical discipline on levels of delinquent behavior. Similar trends were observed for aggression and overall externalizing behavior, although these did not reach statistical significance. Main effects of physical discipline held for all outcome variables, and no main effects held for genotype. The adverse consequences of physical discipline on forms of externalizing behavior are exacerbated by an underlying biological risk conferred by MAOA genotype.
A Review on Hot-IP Finding Methods and Its Application in Early DDoS Target Detection
Directory of Open Access Journals (Sweden)
Xuan Dau Hoang
2016-10-01
Full Text Available On the high-speed connections of the Internet or computer networks, the IP (Internet Protocol packet traffic passing through the network is extremely high, and that makes it difficult for network monitoring and attack detection applications. This paper reviews methods to find the high-occurrence-frequency elements in the data stream and applies the most efficient methods to find Hot-IPs that are high-frequency IP addresses of IP packets passing through the network. Fast finding of Hot-IPs in the IP packet stream can be effectively used in early detection of DDoS (Distributed Denial of Service attack targets and spreading sources of network worms. Research results show that the Count-Min method gives the best overall performance for Hot-IP detection thanks to its low computational complexity, low space requirement and fast processing speed. We also propose an early detection model of DDoS attack targets based on Hot-IP finding, which can be deployed on the target network routers.
Pan, Wanma; Peng, Wen; Ning, Fengling; Zhang, Yu; Zhang, Yunfei; Wang, Yinhang; Xie, Weiyi; Zhang, Jing; Xin, Hong; Li, Cong; Zhang, Xuemei
2018-06-01
The early diagnosis of kidney diseases, which can remarkably impair the quality of life and are costly, has encountered great difficulties. Therefore, the development of methods for early diagnosis has great clinical significance. In this study, we used an emerging technique of photoacoustic (PA) imaging, which has relatively high spatial resolution and good imaging depth. Two kinds of PA gold nanoparticle (GNP)-based bioprobes were developed based on their superior photo detectability, size controllability and biocompatibility. The kidney injury mouse model was developed by unilateral ureteral obstruction for 96 h and the release of obstruction model). Giving 3.5 and 5.5 nm bioprobes by tail vein injection, we found that the 5.5 nm probe could be detected in the bladder in the model group, but not in the control group. These results were confirmed by computed tomography imaging. Furthermore, the model group did not show changes in the blood biochemical indices (BUN and Scr) and histologic examination. The 5.5 nm GNPs were found to be the critical point for early diagnosis of kidney injury. This new method was faster and more sensitive and accurate for the detection of renal injury, compared with conventional methods, and can be used for the development of a PA GNP-based bioprobe for diagnosing renal injury.
Badakhsh, Mahin; Balouchi, Abbas; Taheri, Safiyeh; Bouya, Salehoddin; Ahmadidarehsima, Sudabeh; Aminifard, Mohammadnaem
2018-01-01
Objectives: To determining attitudes and practice regarding breast cancer early detection techniques (breast self-examination (BSE), clinical breast examination (CBE) and mammography) among Iranian woman. Methods: International (PubMed, ISI, and Google Scholar) and national (SID and Magiran) databases were reviewed up to September 2017 to identify articles related to the attitudes and practices of Iranian women concerning breast cancer screening behavior with reference to BSE , CBE and mammography. The screening steps, analysis of quality of the studies and extraction of the papers were performed by two reviewers. Results: Of the 532 studies included initially, 21 performed on 10,521 people were considered eligible. Subjects with a positive attitude toward BSE in various studies were 13.5% to 94.0% with an average of 47.6%. Positive attitudes to CBE and mammography were found in 21.0% and 26.4%, respectively. Participant performance of BSE ranged from 2.6% to 84.7%, with an average of 21.9%. The respective figures for CBE and mammography were 15.8% and 16.7%. Conclusion: Considering the poor performance and low rates for positive attitudes, it is suggested that educational programs should be conducted across the country. PMID:29373873
Risk factors in carcinoma of the breast - changing concepts in detection and management
International Nuclear Information System (INIS)
Mcdivitt, R.W.
1977-01-01
The concept of early detection of breast cancer is first correlated to primary tumor size and than the efforts relating to 'early detection' are described: identification of in-sity carcinomas and other histologic lesions which might be either precancerous or early preinvasive forms of breast cancer; definition of a high risk group, using here mammography. The examination of contralateral breast is emphasized as part of the definition of 'high risk', as well as, most recently, the possibility of screnning of assymptomatic populations. Partial mastectomy, or lumpectomy, are briefly analysed in the therapeutic behavior. (M.A.) [pt
International Nuclear Information System (INIS)
Rott, T.; Jerse, M.; Tercelj, M.; Erzen, J.
2006-01-01
Background. Overall bad prognosis of lung cancer is mostly due to too late detection of early lung cancer, which may be treated with good success. Therefore, different diagnostic methods are developing for more efficient detection of early lung cancer: besides modern radiological, bronchoscopic methods with additional fluorescence techniques, quantitative cytological investigations, also histological and molecular investigations are included. Histology may reveal early preinvasive lung cancer lesions, associated early during multistep lung carcinogenesis with molecular genetic changes. Patients and methods. Preinvasive epithelial lung cancer lesions we searched in two groups of patients. In the first group of 316 patients from the period March 2003 - August 2006, 498 bronchial and transbronchial biopsies were examined for squamous metaplasia and dysplasia, carcinoma in situ, and invasive tumours. In the second group of 238 patients from the period January 2004 - August 2006, resected primary lung tumours were analysed for preinvasive and invasive neuroendocrine tumours and atypical adenomatous hyperplasia. Results. The most frequent changes in bronchial and transbronchial biopsies were squamous metaplasia (46.5%), simple or goblet cell hyperplasia of the bronchial epithelium (44.3%), malignant tumours (20.66%) and squamous dysplasia (16.1%), but rare carcinoma in situ (0.63%). Diffuse idiopathic pulmonary neuroendocrine cell hyperplasia was found in 15 (6.3%) cases in the vicinity of 238 resected lung cancer specimens, carcinoid in 12 patients (5%), and mostly combined large cell neuroendocrine cancer in 21 patients (8.8%). Atypical adenomatous hyperplasia was found in 2 patients. Conclusions. Classical histological analysis should be focused on detection of early preinvasive epithelial lung cancer lesions. Additional available molecular investigations may reveal gradual genetic changes characteristic for a series of the preinvasive epithelial histological changes
Gernhardt, Ariane; Lamm, Bettina; Keller, Heidi; Döge, Paula
2014-01-01
This study investigated early child care teachers' culturally shaped socialization goals and preferred behavioral strategies. The participants were 183 female teachers and trainees, 93 from Osnabrück, Germany, representing an urban Western context, which can be characterized by a primary cultural orientation toward psychological autonomy and a…
Use of sentinel-1 data for vessel detection in South African oceans: Early results
CSIR Research Space (South Africa)
Kleynhans, Waldo
2015-08-01
Full Text Available taking into consideration local incident angles. Early experimental results show promising vessel detection accuracy using the Sentinel-1 data but that polarization and incidence angle are important parameters to take into consideration when working...
Directory of Open Access Journals (Sweden)
Daniel Rial
Full Text Available There is considerable evidence showing that the neurodegenerative processes that lead to sporadic Parkinson's disease (PD begin many years before the appearance of the characteristic motor symptoms. Neuropsychiatric, sensorial and cognitive deficits are recognized as early non-motor manifestations of PD, and are not attenuated by the current anti-parkinsonian therapy. Although loss-of-function mutations in the parkin gene cause early-onset familial PD, Parkin-deficient mice do not display spontaneous degeneration of the nigrostriatal pathway or enhanced vulnerability to dopaminergic neurotoxins such as 6-OHDA and MPTP. Here, we employed adult homozygous C57BL/6 mice with parkin gene deletion on exon 3 (parkin-/- to further investigate the relevance of Parkin in the regulation of non-motor features, namely olfactory, emotional, cognitive and hippocampal synaptic plasticity. Parkin-/- mice displayed normal performance on behavioral tests evaluating olfaction (olfactory discrimination, anxiety (elevated plus-maze, depressive-like behavior (forced swimming and tail suspension and motor function (rotarod, grasping strength and pole. However, parkin-/- mice displayed a poor performance in the open field habituation, object location and modified Y-maze tasks suggestive of procedural and short-term spatial memory deficits. These behavioral impairments were accompanied by impaired hippocampal long-term potentiation (LTP. These findings indicate that the genetic deletion of parkin causes deficiencies in hippocampal synaptic plasticity, resulting in memory deficits with no major olfactory, emotional or motor impairments. Therefore, parkin-/- mice may represent a promising animal model to study the early stages of PD and for testing new therapeutic strategies to restore learning and memory and synaptic plasticity impairments in PD.
Videosensor for the detection of unsafe driving behavior in the proximity of black spots.
Fuentes, Andres; Fuentes, Ricardo; Cabello, Enrique; Conde, Cristina; Martin, Isaac
2014-10-24
This paper discusses the overall design and implementation of a video sensor for the detection of risky behaviors of car drivers near previously identified and georeferenced black spots. The main goal is to provide the driver with a visual audio alert that informs of the proximity of an area of high incidence of highway accidents only if their driving behavior could result in a risky situation. It proposes a video sensor for detecting and supervising driver behavior, its main objective being manual distractions, so hand driver supervision is performed. A GPS signal is also considered, the GPS information is compared with a database of global positioning Black Spots to determine the relative proximity of a risky area. The outputs of the video sensor and GPS sensor are combined to evaluate a possible risky behavior. The results are promising in terms of risk analysis in order to be validated for use in the context of the automotive industry as future work.
Videosensor for the Detection of Unsafe Driving Behavior in the Proximity of Black Spots
Directory of Open Access Journals (Sweden)
Andres Fuentes
2014-10-01
Full Text Available This paper discusses the overall design and implementation of a video sensor for the detection of risky behaviors of car drivers near previously identified and georeferenced black spots. The main goal is to provide the driver with a visual audio alert that informs of the proximity of an area of high incidence of highway accidents only if their driving behavior could result in a risky situation. It proposes a video sensor for detecting and supervising driver behavior, its main objective being manual distractions, so hand driver supervision is performed. A GPS signal is also considered, the GPS information is compared with a database of global positioning Black Spots to determine the relative proximity of a risky area. The outputs of the video sensor and GPS sensor are combined to evaluate a possible risky behavior. The results are promising in terms of risk analysis in order to be validated for use in the context of the automotive industry as future work.
Ersin, Fatma; Bahar, Zuhal
2011-01-01
Breast cancer is an important public health problem on the grounds that it is frequently seen and it is a fatal disease. The objective of this systematic analysis is to indicate the effects of interventions performed by nurses by using the Health Belief Model (HBM) and Health Promotion Model (HPM) on the breast cancer early diagnosis behaviors and on the components of the Health Belief Model and Health Promotion Model. The reveiw was created in line with the Centre for Reviews and Dissemination guide dated 2009 (CRD) and developed by York University National Institute of Health Researches. Review was conducted by using PUBMED, OVID, EBSCO and COCHRANE databases. Six hundred seventy eight studies (PUBMED: 236, OVID: 162, EBSCO: 175, COCHRANE:105) were found in total at the end of the review. Abstracts and full texts of these six hundred seventy eight studies were evaluated in terms of inclusion and exclusion criteria and 9 studies were determined to meet the criteria. Samplings of the studies varied between ninety four and one thousand six hundred fifty five. It was detected in the studies that educations provided by taking the theories as basis became effective on the breast cancer early diagnosis behaviors. When the literature is examined, it is observed that the experimental researches which compare the concepts of Health Belief Model (HBM) and Health Promotion Model (HPM) preoperatively and postoperatively and show the effect of these concepts on education and are conducted by nurses are limited in number. Randomized controlled studies which compare HBM and HPM concepts preoperatively and postoperatively and show the efficiency of the interventions can be useful in evaluating the efficiency of the interventions.
Sulik, Michael J; Blair, Clancy; Mills-Koonce, Roger; Berry, Daniel; Greenberg, Mark
2015-01-01
Path analysis was used to investigate the longitudinal associations among parenting and children's executive function and externalizing behavior problems from 36 to 90 months of age in the Family Life Project (N = 1,115), a study of child development in the context of rural poverty. While controlling for stability in the constructs, semistructured observations of parenting prospectively predicted performance on a battery of executive function tasks and primary caregivers' reports of externalizing behavior. Furthermore, the association between early parenting and later externalizing behavior was longitudinally mediated by executive function, providing support for a process model in which sensitive parenting promotes children's self-regulation, which in turn reduces children's externalizing behavior. © 2015 The Authors. Child Development © 2015 Society for Research in Child Development, Inc.
Directory of Open Access Journals (Sweden)
Todd H Ahern
2009-08-01
Full Text Available Early social attachments lie at the heart of emotional and social development in many mammals, including humans. In nature, monogamous prairie voles (Microtus ochrogaster experience considerable natural variation in early social attachment opportunities due to differences in family structure (e.g., single-mothers, solitary breeding pairs, and communal groups. We exploited some of this natural variation in family structure to examine the influence of early social environment on the development of adult social behavior. First, we characterized the parental care received by pups reared biparentally (BP or by a single-mother (SM in the laboratory. Second, we examined whether BP- and SM-reared offspring differed in adult nurturing, bonding, and emotional behaviors. Finally, we investigated the effects of rearing condition on neuropeptide systems that regulate adult social behavior (oxytocin, vasopressin, and corticotropin-releasing factor [CRF]. Observations revealed that SM-reared pups were exposed more frequently (P<0.01, licked and groomed less (P<0.01, and matured more slowly (P<0.01 than BP-reared pups. In adulthood, there were striking socio-behavioral differences: SM-reared females showed low spontaneous, pup-directed alloparental behavior (P<0.01 and both males and females from the SM-reared condition showed delayed partner preference formation. While rearing did not impact neuropeptide receptor densities in the ventral forebrain as we predicted, SM-reared animals, particularly females, had increased OT content (P<0.01 and greater dorsal raphe CRF2 densities (P<0.05 and both measures correlated with licking and grooming experienced during the first 10 days of life. These results suggest that naturalistic variation in social rearing conditions can introduce diversity into adult nurturing and attachment behaviors.
Mahieu, R.; Coenen, M. N. O.; van Bemmel, T.; van der Zaag-Loonen, H. J.; Theuvenet, W. J.
Aims: Present-day screening of the diabetic foot involves the Semmes Weinstein Monofilament Test for evaluating loss of sensibility, while testing for intrinsic muscle weakness is not implied. Just as with the early detection of sensibility loss, early detection of intrinsic muscle weakness might
Monshouwer, K.; Harakeh, Z.; Lugtig, P.; Huizink, A.; Creemers, H.E.; Reijneveld, S.A.; de Winter, A.F.; van Oort, F.; Ormel, J.; Vollebergh, W.A.M.
2012-01-01
The present study examined the joint development of substance use and externalizing problems in early and middle adolescence. First, it was tested whether the relevant groups found in previous studies i.e., those with an early onset, a late onset, and no onset or low levels of risk behavior could be
Muhammad Umar; Shinta Megawati Sitorus; Rika Lusiana Surya; Elvia R. Shauki; Vera Diyanti
2017-01-01
This study examines the effect of information technology and pressure such as time budget and task complexity on dysfunctional audit behavior. This study tests whether dysfunctional audit behavior affects fraud detection. Data were gathered from 81 auditors in Jakarta and were analyzed using structure equation model (SEM). The results explain that pressure (time budget and complexity task) have some impacts on dysfunctional audit behavior while information technology does not affect dysfuncti...
Early detection of diabetes after pregnancy complicated by gestational diabetes
DEFF Research Database (Denmark)
Nielsen, Jane Hyldgård; Overgaard, Charlotte; Olesen, Christinna Rebecca
Title: Early detection of diabetes after pregnancy complicated by gestational diabetes Background: Women whose pregnancy was complicated by gestational diabetes have a 7-fold higher risk of developing diabetes, primarily type 2. 40% of women with a history gestational diabetes mellitus (GDM...... of health consequences for women. Aims: Examine the extent of participation in follow-up screening in the Danish Region of North Jutland, and the possible consequences of nonattendance. Methods: A register based study. In Danish national registers 2171 birthing women whose pregnancy was complicated by GDM...
Pillai, Anup G; Arp, Marit; Velzing, Els; Lesuis, Sylvie L; Schmidt, Mathias V; Holsboer, Florian; Joëls, Marian; Krugers, Harm J
2018-05-01
Exposure to early-life adversity may program brain function to prepare individuals for adaptation to matching environmental contexts. In this study we tested this hypothesis in more detail by examining the effects of early-life stress - induced by raising offspring with limited nesting and bedding material from postnatal days 2-9 - in various behavioral tasks and on synaptic function in adult mice. Early-life stress impaired adult performance in the hippocampal dependent low-arousing object-in-context recognition memory task. This effect was absent when animals were exposed to a single stressor before training. Early-life stress did not alter high-arousing context and auditory fear conditioning. Early-life stress-induced behavioral modifications were not associated with alterations in the dendritic architecture of hippocampal CA1 pyramidal neurons or principal neurons of the basolateral amygdala. However, early-life stress reduced the ratio of NMDA to AMPA receptor-mediated excitatory postsynaptic currents and glutamate release probability specifically in hippocampal CA1 neurons, but not in the basolateral amygdala. These ex vivo effects in the hippocampus were abolished by acute glucocorticoid treatment. Our findings support that early-life stress can hamper object-in-context learning via pre- and postsynaptic mechanisms that affect hippocampal function but these effects are counteracted by acute stress or elevated glucocorticoid levels. Copyright © 2018. Published by Elsevier Ltd.
Fava, Leonardo; Strauss, Kristin; Valeri, Giovanni; D'Elia, Lidia; Arima, Serena; Vicari, Stefano
2011-01-01
We compared the effects of Early Intensive Behavioral Intervention (EIBI) and eclectic intervention in children with ASD on autism severity, developmental performance, adaptive behavior, language skills and challenging behaviors. Twelve children received cross-setting staff- and parent-mediated EIBI of centre-based one-to-one and play sessions as…
Hoying, Jacqueline; Melnyk, Bernadette Mazurek; Arcoleo, Kimberly
2016-01-01
Appalachian adolescents have a high prevalence of obesity and mental health problems that exceed national rates, with the two conditions often co-existing. The purpose of this study was to evaluate the feasibility and preliminary efficacy of a 15-session cognitive-behavioral skills building intervention (COPE [Creating Opportunities for Personal Empowerment] Healthy Lifestyles TEEN [Thinking, Emotions, Exercise, and Nutrition] Program) on healthy lifestyle behaviors, physical health, and mental health of rural early adolescents. A pre- and posttest pre-experimental design was used with follow-up immediately after the intervention. Results support improvement in the students' anxiety, depression, disruptive behavior, and self-concept scores after the COPE intervention compared with baseline. Additionally, healthy lifestyle behavior scores improved before the intervention compared with after the intervention. COPE is a promising intervention that improves mental health and healthy lifestyle behaviors and can be integrated routinely into school-based settings. Copyright © 2016 National Association of Pediatric Nurse Practitioners. Published by Elsevier Inc. All rights reserved.
Sakuma, Shinji; Yu, James Y H; Quang, Timothy; Hiwatari, Ken-Ichiro; Kumagai, Hironori; Kao, Stephanie; Holt, Alex; Erskind, Jalysa; McClure, Richard; Siuta, Michael; Kitamura, Tokio; Tobita, Etsuo; Koike, Seiji; Wilson, Kevin; Richards-Kortum, Rebecca; Liu, Eric; Washington, Kay; Omary, Reed; Gore, John C; Pham, Wellington
2015-03-01
Thomsen-Friedenreich (TF) antigen belongs to the mucin-type tumor-associated carbohydrate antigen. Notably, TF antigen is overexpressed in colorectal cancer (CRC) but is rarely expressed in normal colonic tissue. Increased TF antigen expression is associated with tumor invasion and metastasis. In this study, we sought to validate a novel nanobeacon for imaging TF-associated CRC in a preclinical animal model. We developed and characterized the nanobeacon for use with fluorescence colonoscopy. In vivo imaging was performed on an orthotopic rat model of CRC. Both white light and fluorescence colonoscopy methods were utilized to establish the ratio-imaging index for the probe. The nanobeacon exhibited specificity for TF-associated cancer. Fluorescence colonoscopy using the probe can detect lesions at the stage which is not readily confirmed by conventional visualization methods. Further, the probe can report the dynamic change of TF expression as tumor regresses during chemotherapy. Data from this study suggests that fluorescence colonoscopy can improve early CRC detection. Supplemented by the established ratio-imaging index, the probe can be used not only for early detection, but also for reporting tumor response during chemotherapy. Furthermore, since the data obtained through in vivo imaging confirmed that the probe was not absorbed by the colonic mucosa, no registered toxicity is associated with this nanobeacon. Taken together, these data demonstrate the potential of this novel probe for imaging TF antigen as a biomarker for the early detection and prediction of the progression of CRC at the molecular level. © 2014 UICC.
Patterson, Tara
2017-01-01
Factors contributing to the formation of habits, defined as the stimulus-response associations that form the basis of much human and animal behavior, are not well understood, and although habits are believed to underlie many negative health behaviors such as addictions, the extent to which findings from animal research on habits apply in the human is largely unknown. In Study 1 (Chapter 2), we conducted two experiments on appetitive habit formation in adults with a history of early-life stres...
Directory of Open Access Journals (Sweden)
Keane PA
2015-02-01
Full Text Available Pearse A Keane,1 Gabriella de Salvo,2 Dawn A Sim,1 Srini Goverdhan,2 Rupesh Agrawal,1 Adnan Tufail1 1NIHR Biomedical Research Centre for Ophthalmology, Moorfields Eye Hospital NHS Foundation Trust and UCL Institute of Ophthalmology, London, 2Department of Ophthalmology, University Hospital Southampton NHS Foundation Trust, Southampton, UK Abstract: Treatment of the neovascular form of age-related macular degeneration (AMD has been revolutionized by the introduction of such agents as ranibizumab, bevacizumab, and aflibercept. As a result, the incidence of legal blindness occurring secondary to AMD has fallen dramatically in recent years in many countries. While these agents have undoubtedly been successful in reducing visual impairment and blindness, patients with neovascular AMD typically lose some vision over time, and often lose the ability to read, drive, or perform other important activities of daily living. Efforts are therefore under way to develop strategies that allow for earlier detection and treatment of this disease. In this review, we begin by providing an overview of the rationale for, and the benefits of, early detection and treatment of neovascular AMD. To achieve this, we begin by providing an overview of the pathophysiology and natural history of choroidal neovascularization, before reviewing the evidence from both clinical trials and “real-world” outcome studies. We continue by highlighting an area that is often overlooked: the importance of patient education and awareness for early AMD detection. We conclude the review by reviewing an array of both established and emerging technologies for early detection of choroidal neovascularization, ranging from Amsler chart testing, to hyperacuity testing, to advanced imaging techniques, such as optical coherence tomography. Keywords: Amsler, detection, choroidal neovascularization, hyperacuity, optical coherence tomography
Education concerning carcinoma of prostate and its early detection.
Dutkiewcz, Sławomir; Jędrzejewska, Sylwia
2011-01-01
Prostate cancer is the most common male cancer. Insufficient knowledge of PCa among men causes its low detection. Lack of essential actions in health education and widely understood prophylaxis, the need of the latter are maybe responsible for the increasing mortality rate. According to our assumption, educating men increase their awareness on the need of screening tests and results in increasing reporting to physical examinations. This in turn allows for an early detection of the disease. A research was conducted between the years 2003-2009 on the knowledge of PCa among 260 men. They were divided into two groups. Group A - 63 patients treated for carcinoma of prostate and group B - 197 men reporting spontaneously to screening tests. In order to check the adopted hypothesis, we prepared an educational material and test of knowledge - test with a questionnaire. Knowledge was evaluated before (test I) and after the education process (test II). Until 2009, we were monitoring the number of patients from group B reporting to screening tests and their knowledge was once again checked (test III). Two subgroups C and D were created from group B - 117 healthy men and 80 with diagnosed diseases respectively (70 with benign prostatic hyperplasia, 7 with prostatitis, and 3 with carcinoma of prostate). Patients with prostatitis and PCa and 3 patients from group C not reporting to the tests were excluded from further monitoring. Maths statistics with the use of SPSS 12.0 PL program and Statistica 6.0 constituted the base for working out the results. We observed a higher knowledge about carcinoma of prostate in group A than in group B (p 40 from groups C and D were interested in health care (p70 a lower level of motivation was observed. The interest was proportional to the level of education, and this was differentiating in an analogical way the motivation to extend knowledge about prostate cancer (padvanced state, and during 5 years in group C - in 4 men at an early development
Early adhesive behavior of bone-marrow-derived mesenchymal stem cells on collagen electrospun fibers
Energy Technology Data Exchange (ETDEWEB)
Chan, Casey K; Liao, Susan; Lareu, Ricky R; Raghunath, Michael [Division of Bioengineering, National University of Singapore, 7 Engineering Drive 1, Singapore 117574 (Singapore); Li, Bojun; Ramakrishna, S [Nanoscience and Nanotechnology Initiative, National University of Singapore, 2 Engineering Drive 3, Singapore 117576 (Singapore); Larrick, James W, E-mail: doschanc@nus.edu.s [Panorama Research Institute, 2462 Wyandotte Street, Mountain View, CA 94043 (United States)
2009-06-15
A bioabsorbable nanofibrous scaffold was developed for early adhesion of mesenchymal stem cells (MSCs). Collagen nanofibers with diameters of 430 +- 170 nm were fabricated by electrospinning. Over 45% of the MSC population adhered to this collagen nanofiber after 30 min at room temperature. Remarkably, collagen-coated P(LLA-CL) electrospun nanofibers were almost as efficient as collagen nanofibers whereas collagen cast film did not enhance early capture when it was applied on cover slips. The adhesive efficiency could be further increased to over 20% at 20 min and over 55% at 30 min when collagen nanofibers were grafted with monoclonal antibodies recognizing CD29 or CD49a. These data demonstrate that the early adhesive behavior is highly dependent on both the surface texture and the surface chemistry of the substrate. These findings have potential applications for early capture of MSCs in an ex vivo setting under time constraints such as in a surgical setting.
Early adhesive behavior of bone-marrow-derived mesenchymal stem cells on collagen electrospun fibers
International Nuclear Information System (INIS)
Chan, Casey K; Liao, Susan; Lareu, Ricky R; Raghunath, Michael; Li, Bojun; Ramakrishna, S; Larrick, James W
2009-01-01
A bioabsorbable nanofibrous scaffold was developed for early adhesion of mesenchymal stem cells (MSCs). Collagen nanofibers with diameters of 430 ± 170 nm were fabricated by electrospinning. Over 45% of the MSC population adhered to this collagen nanofiber after 30 min at room temperature. Remarkably, collagen-coated P(LLA-CL) electrospun nanofibers were almost as efficient as collagen nanofibers whereas collagen cast film did not enhance early capture when it was applied on cover slips. The adhesive efficiency could be further increased to over 20% at 20 min and over 55% at 30 min when collagen nanofibers were grafted with monoclonal antibodies recognizing CD29 or CD49a. These data demonstrate that the early adhesive behavior is highly dependent on both the surface texture and the surface chemistry of the substrate. These findings have potential applications for early capture of MSCs in an ex vivo setting under time constraints such as in a surgical setting.
Crockett, Lisa J.; Raffaelli, Marcela; Shen, Yuh-Ling
2006-01-01
The linkages between self-regulation in childhood, risk proneness in early adolescence, and risky sexual behavior in mid-adolescence were examined in a cohort of children (N=518) from the National Longitudinal Survey of Youth. The possible mediating role of two early adolescent variables (substance use and negative peer pressure) was also…
Reitz, Ellen; Dekovic, Maja; Meijer, Anne Marie; Engels, Rutger C. M. E.
2006-01-01
In this longitudinal study, the bidirectional relations between parenting and friends' deviance, on one hand, and early adolescent externalizing and internalizing problem behavior, on the other hand, are examined. Of the 650 adolescents (13- to 14-year-olds) who filled out the Youth Self-Report and questionnaires about their parents at two times…
Network analysis in detection of early-stage mild cognitive impairment
Ni, Huangjing; Qin, Jiaolong; Zhou, Luping; Zhao, Zhigen; Wang, Jun; Hou, Fengzhen
2017-07-01
The detection and intervention for early-stage mild cognitive impairment (EMCI) is of vital importance However, the pathology of EMCI remains largely unknown, making it be challenge to the clinical diagnosis. In this paper, the resting-state functional magnetic resonance imaging (rs-fMRI) data derived from EMCI patients and normal controls are analyzed using the complex network theory. We construct the functional connectivity (FC) networks and employ the local false discovery rate approach to successfully detect the abnormal functional connectivities appeared in the EMCI patients. Our results demonstrate the abnormal functional connectivities have appeared in the EMCI patients, and the affected brain regions are mainly distributed in the frontal and temporal lobes In addition, to quantitatively characterize the statistical properties of FCs in the complex network, we herein employ the entropy of the degree distribution (EDD) index and some other well-established measures, i.e., clustering coefficient (CC) and the efficiency of graph (EG). Eventually, we found that the EDD index, better than the widely used CC and EG measures, may serve as an assistant and potential marker for the detection of EMCI.
Marks, Jennifer; de la Haye, Kayla; Barnett, Lisa M; Allender, Steven
2015-01-01
There is limited understanding of the association between peer social networks and physical activity (PA), sedentary and screen-related behaviors. This study reports on associations between personal network characteristics and these important health behaviors for early adolescents. Participants were 310 students, aged 11-13 years, from fifteen randomly selected Victorian primary schools (43% response rate). PA and sedentary behaviors were collected via accelerometer and self-report questionnaire, and anthropometric measures via trained researchers. Participants nominated up to fifteen friends, and described the frequency of interaction and perceived activity intensity of these friends. Personal network predictors were examined using regression modelling for PA and sedentary/screen behavior. Perceived activity levels of friends, and friendships with very frequent interaction were associated with outside-of-school PA and/or sedentary/screen time. Differences according to sex were also observed in the association between network characteristics and PA and sedentary time. A higher number of friends and greater proportion of same sex friends were associated with boys engaging in more moderate-to-vigorous PA outside of school hours. PA intensity during school-day breaks was positively associated with having a greater proportion of friends who played sports for girls, and a greater proportion of male friends for boys. Friendship network characteristics are associated with PA and sedentary/screen time in late childhood/early adolescence, and these associations differ by sex. The positive influence of very active peers may be a promising avenue to strengthen traditional interventions for the promotion of PA and reduction in screen time.
Early detection of venous thromboses of the lower limb in traumatology using labelled fibrinogen
International Nuclear Information System (INIS)
Pasteyer, J.; Lanata, E.; Bonnard, P.; Jean, N.; Kher, A.; Patel, A.
1975-01-01
In emergency traumatology, the iodine 125 labelled fibrinogen test is useful in the early detection of phlebitis in patients in whom the routine use of heparin is not possible: fractures of the cervical spine, severe cranial trauma, elderly subjects. It makes possible the institution of appropriate heparin therapy, whithout waiting for clinical signs to become evident. Isotopic venous thromboses occured very frequently and very early and clinical signs, when present (50% of cases) occured 24 to 48 hours after the appearance of isotopic signs [fr
Umeh, Kanayo; Chadwick, Rebecca
2016-02-01
Research suggests that self-efficacy is an important factor in behaviors that facilitate the early-detection of various cancers. In general people with high self-efficacy are more likely to attend cancer screening sessions or perform bodily self-exams. However, there is a paucity of research focusing on testicular cancer and testicular self-examination (TSE). The effect of self-efficacy on TSE remains unclear especially given the relative obscurity of the testicular cancer threat, and appropriate clinical- and self-detection procedures, in the young asymptomatic male population. Thus, the present study tested the interaction of self-efficacy with young men's appraisals of the threat of testicular cancer. The study was based on 2 × 2 × 2 mixed factorial experimental design. Over 100 young asymptomatic men were exposed to a health warning about testicular cancer and randomly assigned to high/low self-efficacy, vulnerability, and severity conditions. High self-efficacy increased motivation to perform TSE given high vulnerability, but damaged attitudes to self-exams given low vulnerability and severity estimates. High self-efficacy also facilitated subsequent TSE. Overall, these findings support preexisting notions of self-efficacy but raise new questions about the moderating effects of threat appraisals.
Nilsen, Wendy; Gustavson, Kristin; Røysamb, Espen; Kjeldsen, Anne; Karevold, Evalill
2013-06-01
The main aim of this study was to identify the pathways from maternal distress and child problem behaviors (i.e., internalizing and externalizing problems) across childhood and their impact on depressive symptoms during adolescence among girls and boys. Data from families of 921 Norwegian children in a 15-year longitudinal community sample were used. Using structural equation modeling, the authors explored the interplay between maternal-reported distress and child problem behaviors measured at 5 time points from early (ages 1.5, 2.5, and 4.5 years) and middle (age 8.5 years) childhood to early adolescence (age 12.5 years), and their prediction of self-reported depressive symptoms during adolescence (ages 14.5 and 16.5 years). The findings revealed paths from internalizing and externalizing problems throughout the development for corresponding problems (homotypic paths) and paths from early externalizing to subsequent internalizing problems (heterotypic paths). The findings suggest 2 pathways linking maternal-rated risk factors to self-reported adolescent depressive symptoms. There was a direct path from early externalizing problems to depressive symptoms. There was an indirect path from early maternal distress going through child problem behavior to depressive symptoms. In general, girls and boys were similar, but some gender-specific effects appeared. Problem behaviors in middle childhood had heterotypic paths to subsequent problems only for girls. The findings highlight the developmental importance of child externalizing problems, as well as the impact of maternal distress as early as age 1.5 years for the development of adolescent depressive symptoms. Findings also indicate a certain vulnerable period in middle childhood for girls. NOTE: See Supplemental Digital Content 1, at http://links.lww.com/JDBP/A45, for a video introduction to this article.
Early detection of fires by means of thermography; Frueherkennung von Braenden mit Thermografie
Energy Technology Data Exchange (ETDEWEB)
Krauss, Matthias; Doeppner, Joerg; Pohl, Gisbert; Mahler, Guido; Dammass, Gunnar; Wendland, Georg [InfraTec GmbH, Dresden (Germany)
2012-11-01
The authors of the contribution under consideration report on the physical and technical fundamentals of an early detection of fires by means of thermal imaging. Hereupon, the technical implementation of these fundamentals into a modular automatic monitoring system by thermography is described. The authors report on practical experiences of this monitoring system.
A New Supersensitive Flame Detector and its Use for Early Forest Fire Detection
Peskov, Vladimir
2007-01-01
A new flame detector, three orders of magnitude more powerful than the existing ones, is presented. This detector needs to be mass-produced for its use in order to be incorporated in an early forest fire detection system. A project able to implement its use to overcome the forest fire emergency is described.
Sulik, Michael J.; Blair, Clancy; Mills-Koonce, Roger; Berry, Daniel; Greenberg, Mark
2015-01-01
Path analysis was used to investigate the longitudinal associations among parenting and children’s executive function and externalizing behavior problems from 36 to 90 months of age in the Family Life Project (N = 1,115), a study of child development in the context of rural poverty. While controlling for stability in the constructs, semi-structured observations of parenting prospectively predicted performance on a battery of executive function tasks and primary caregivers’ reports of externalizing behavior. Furthermore, the association between early parenting and later externalizing behavior was longitudinally mediated by executive function, providing support for a process model in which sensitive parenting promotes children’s self-regulation, which in turn reduces children’s externalizing behavior. PMID:26082032
Anxiety-like behavior as an early endophenotype in the TgF344-AD rat model of Alzheimer's disease.
Pentkowski, Nathan S; Berkowitz, Laura E; Thompson, Shannon M; Drake, Emma N; Olguin, Carlos R; Clark, Benjamin J
2018-01-01
Alzheimer's disease (AD) is characterized by progressive cognitive decline and the presence of aggregates of amyloid beta (plaques) and hyperphosphorylated tau (tangles). Early diagnosis through neuropsychological testing is difficult due to comorbidity of symptoms between AD and other types of dementia. As a result, there is a need to identify the range of behavioral phenotypes expressed in AD. In the present study, we utilized a transgenic rat (TgF344-AD) model that bears the mutated amyloid precursor protein as well as presenilin-1 genes, resulting in progressive plaque and tangle pathogenesis throughout the cortex. We tested young adult male and female TgF344-AD rats in a spatial memory task in the Morris water maze and for anxiety-like behavior in the elevated plus-maze. Results indicated that regardless of sex, TgF344-AD rats exhibited increased anxiety-like behavior in the elevated plus-maze, which occurred without significant deficits in the spatial memory. Together, these results indicate that enhanced anxiety-like behavior represents an early-stage behavioral marker in the TgF344-AD rat model. Copyright © 2017 Elsevier Inc. All rights reserved.
López-Fernández, Teresa; Thavendiranathan, Paaladinesh
2017-06-01
The undeniable advances in the field of oncology have finally led to a decrease in overall cancer-related mortality. However, this population of long-term cancer survivors is now facing a shift toward a substantial increase in cardiovascular morbidity and mortality. Because the development of overt cardiotoxicity can be associated with poor outcomes, preclinical identification of cardiac toxicity is important. This will promote early instauration of treatments to prevent overt heart dysfunction and allow oncologists to continue cancer therapy in an uninterrupted manner. Surveillance strategies for the early detection of cardiac injury include cardiac imaging and biomarkers during treatment. In this review, we outline existing cardiac imaging modalities to detect myocardial changes in patients undergoing cancer treatment and in survivors, and their strengths and limitations. Copyright © 2017 Sociedad Española de Cardiología. Published by Elsevier España, S.L.U. All rights reserved.
Accuracy rate of pregnancy detection in dairy cow by measuring the early pregnancy factor
Directory of Open Access Journals (Sweden)
S Mosaferi
2007-08-01
Full Text Available Early pregnancy factor (EPF a protein with immunosuppressive properties can be detected in the serum of most domestic animals at early pregnancy. In this study, pregnancy detection in 41 dairy cows following artificial insemination was evaluated by detecting EPF in blood serum using the rosette inhibition test (RIT. The amount of EPF activity 1-3 and 4-7 days after artificial insemination of cows was measured by RIT. Pregnancies were confirmed 45-60 days after insemination by rectal palpation. The results indicated that sensitivity, specificity, positive predictive value, negative predictive value and accuracy of this technique in detecting pregnancy 1-3 days following insemination was 88.88, 66.66, 72.72, 85.71 and 77.77 percent respectively and RIT titers of above 8 and below 4 were seen in pregnant and non-pregnant animals at this period. The value of the above parameters were 91, 83.83, 83.33, 91 and 87 percent respectively 4-7 days after insemination and also RIT titers of above 8 and below 4 were achieved in pregnant and non pregnant cows during this period. The results of this study indicated that there are significant differences in RIT titers between pregnant and non-pregnant cows 1-3 and 4-7 days following artificial insemination (P
Wu, Qian; Gong, Li-Xiu; Li, Yang; Cao, Cheng-Fei; Tang, Long-Cheng; Wu, Lianbin; Zhao, Li; Zhang, Guo-Dong; Li, Shi-Neng; Gao, Jiefeng; Li, Yongjin; Mai, Yiu-Wing
2018-01-23
Design and development of smart sensors for rapid flame detection in postcombustion and early fire warning in precombustion situations are critically needed to improve the fire safety of combustible materials in many applications. Herein, we describe the fabrication of hierarchical coatings created by assembling a multilayered graphene oxide (GO)/silicone structure onto different combustible substrate materials. The resulting coatings exhibit distinct temperature-responsive electrical resistance change as efficient early warning sensors for detecting abnormal high environmental temperature, thus enabling fire prevention below the ignition temperature of combustible materials. After encountering a flame attack, we demonstrate extremely rapid flame detection response in 2-3 s and excellent flame self-extinguishing retardancy for the multilayered GO/silicone structure that can be synergistically transformed to a multiscale graphene/nanosilica protection layer. The hierarchical coatings developed are promising for fire prevention and protection applications in various critical fire risk and related perilous circumstances.
Randomized Clinical Trial of Online Parent Training for Behavior Problems After Early Brain Injury.
Wade, Shari L; Cassedy, Amy E; Shultz, Emily L; Zang, Huaiyu; Zhang, Nanhua; Kirkwood, Michael W; Stancin, Terry; Yeates, Keith O; Taylor, H Gerry
2017-11-01
To evaluate the effectiveness of Internet-based Interacting Together Everyday: Recovery After Childhood TBI (I-InTERACT) versus abbreviated parent training (Express) or access to online resources (internet resources comparison [IRC]) in improving parenting skills and decreasing behavior problems after early traumatic brain injury (TBI). In this randomized, controlled, clinical trial, 113 children 3 to 9 years old previously hospitalized for moderate to severe TBI were randomly assigned to receive Express (n = 36), I-InTERACT (n = 39), or IRC (n = 38). Express included 7 online parent skills sessions, and I-InTERACT delivered 10 to 14 sessions addressing parenting skills, TBI education, stress, and anger management. The 2 interventions coupled online modules with therapist coaching through a Health Insurance Portability and Accountability Act-compliant Skype link. The IRC group received access to online TBI and parent skills resources. Co-primary outcomes were blinded ratings of parenting skills and parent report of behavior problems and problem intensity on the Eyberg Child Behavior Inventory (ECBI). Outcomes were assessed before treatment and 3 and 6 months after treatment, with the latter constituting the primary endpoint. The Express and I-InTERACT groups displayed higher levels of positive parenting at follow-up. Only the I-InTERACT group had lower levels of negative parenting at 6 months. The Express group had lower ECBI intensity scores than the IRC group. Baseline symptom levels moderated improvements; children in the Express and I-InTERACT groups with higher baseline symptoms demonstrated greater improvements than those in the IRC group. Changes in parenting skills mediated improvements in behavior in those with higher baseline symptoms. Brief online parent skills training can effectively decrease behavior problems after early TBI in children with existing behavioral symptoms. Clinical trial registration information-Internet-based Interacting Together
Hedberg, E C
2016-06-28
There is an increased focus on randomized trials for proximal behavioral outcomes in early childhood research. However, planning sample sizes for such designs requires extant information on the size of effect, variance decomposition, and effectiveness of covariates. The purpose of this article is to employ a recent large representative sample of early childhood longitudinal study kindergartners to estimate design parameters for use in planning cluster randomized trials. A secondary objective is to compare the results of math and reading with the previous kindergartner cohort of 1999. For each measure, fall-spring gains in effect size units are calculated. In addition, multilevel models are fit to estimate variance components that are used to calculate intraclass correlations (ICCs) and R 2 statistics. The implications of the reported parameters are summarized in tables of required school sample sizes to detect small effects. The outcomes include information about student scores regarding learning behaviors, general behaviors, and academic abilities. Aside from math and reading, there were small gains in these measures from fall to spring, leading to effect sizes between about .1 and .2. In addition, the nonacademic ICCs are smaller than the academic ICCs but are still nontrivial. Use of a pretest covariate is generally effective in reducing the required sample size in power analyses. The ICCs for math and reading are smaller for the current sample compared with the 1999 sample. © The Author(s) 2016.
Early detection of anastomotic leakage after elective low anterior resection.
Fouda, Elyamani; El Nakeeb, Ayman; Magdy, Alaa; Hammad, Enas A; Othman, Gamal; Farid, Mohamed
2011-01-01
Colorectal anastomotic leakage is a serious complication leading to major postoperative morbidity and mortality. In the present study, we investigated the early detection of anastomotic leakage before its clinical presentation. Fifty-six patients with rectal cancer were included prospectively in this study. All patients underwent elective low anterior resection. Peritoneal samples were collected from the abdominal drains at the first, third, and fifth days postoperatively for bacteriological study (quantitative cultures for both aerobes and anaerobes) and cytokines (IL-6, IL-10, TNF) measurement. Patients were divided into two groups: those without symptomatic or clinical evidence of anastomotic leakage (AL; group 1) and those with clinical evidence of AL (group 2). Study variables included hospital stay, wound infection, operative time, blood loss, height of anastomosis, intraperitoneal cytokines, and microbiological study of peritoneal fluid. Clinically evident AL occurred in eight patients (14.3%) and diagnosed postoperatively on median day 6. Intraperitoneal bacterial colonization and cytokine levels were significantly higher in patients with clinical evidence of AL. Wound infection was significantly higher in anastomotic leakage group. The hospital stay for the patients with anastomotic leakage was significantly longer than those without AL (14 ± 1.41 vs. 5.43 ± 0.89 days). A significant difference among two groups was observed regarding operative time, blood loss, blood transfusion, and height of the anastomosis. The peritoneal cytokines levels and intraperitoneal bacterial colonization might be an additional diagnostic tool that can support the decision making of surgeons for early detection of anastomotic leak in colorectal surgery.
Allostatic Load Assessment for Early Detection of Stress in the Workplace in Egypt
Directory of Open Access Journals (Sweden)
Ola Sayed Ali
2016-06-01
CONCLUSION: Female gender and the old age of the Egyptian workforce under study are at higher risk of chronic diseases. Using an alternative way -for example, the cut-point method- instead of the risk quartiles for dichotomization of markers used in ALI calculation could be more precise for early detection of stress among healthy individuals.
Sentse, Miranda; Laird, Robert D.
2010-01-01
This study focused on support and conflict in parent-child relationships and dyadic friendships as predictors of behavior problems in early adolescence (n=182; M age=12.9 years, 51% female, 45% African American, 74% two-parent homes). Support and conflict in one relationship context were
Lipscomb, Shannon T.; Laurent, Heidemarie; Neiderhiser, Jenae M.; Shaw, Daniel S.; Natsuaki, Misaki N.; Reiss, David; Leve, Leslie D.
2014-01-01
The current study examined interactions among genetic influences and children's early environments on the development of externalizing behaviors from 18 months to 6 years of age. Participants included 233 families linked through adoption (birth parents and adoptive families). Genetic influences were assessed by birth parent temperamental…