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Sample records for achieves functional analysis

  1. Egalitarianism and Achievement in the Involvement of Others in Consumer Decisions: A Functional Analysis.

    Science.gov (United States)

    Miller, Duane I.

    1980-01-01

    Studied how egalitaranism and success through individual achievement, were expressed in the involvement of others in consumer decisions. Results found egalitarians involved others in seeking more information. Individual achievement subjects delegated more decision responsibility for non-ego involving decisions. Suggests involvement of others could…

  2. Analysis of 855 upper extremity fistulas created using a standard protocol: the role of graft extension to achieve functional status.

    Science.gov (United States)

    Allan, Bassan J; Perez, Enrique R; Tabbara, Marwan

    2013-06-01

    The Fistula First Breakthrough Initiative (FFBI) has been one of the most important national programs to help achieve considerable improvements in the care of patients on chronic hemodialysis. FFBI has helped place guidelines to push practitioners to reduce the use of tunneled central venous catheters and to increase the rate of arteriovenous fistula use in patients requiring chronic hemodialysis access. However, despite current guidelines, no specific protocols exist for the creation and management of autogenous arteriovenous fistulas and outcomes at most centers are below national benchmarks. In this study, we examine the effectiveness of a standard protocol used at our institution for the creation of autogenous upper extremity fistulas for hemodialysis access in achieving early cannulation and early removal of tunneled dialysis catheters. Our review encompasses 855 consecutive autogenous fistulas created over a 10-year period. Our findings suggest that the use of a standard protocol for creation and management of autogenous fistulas can help increase the rate of functional accesses over national benchmarks. Additionally, extension/conversion of malfunctioning fistulas to grafts appears to be an excellent method to expedite removal of a tunneled dialysis catheter with concomitant preservation of a fistula.

  3. Achievement Goals and Achievement Emotions: A Meta-Analysis

    Science.gov (United States)

    Huang, Chiungjung

    2011-01-01

    This meta-analysis synthesized 93 independent samples (N = 30,003) in 77 studies that reported in 78 articles examining correlations between achievement goals and achievement emotions. Achievement goals were meaningfully associated with different achievement emotions. The correlations of mastery and mastery approach goals with positive achievement…

  4. Functional analysis

    CERN Document Server

    Kantorovich, L V

    1982-01-01

    Functional Analysis examines trends in functional analysis as a mathematical discipline and the ever-increasing role played by its techniques in applications. The theory of topological vector spaces is emphasized, along with the applications of functional analysis to applied analysis. Some topics of functional analysis connected with applications to mathematical economics and control theory are also discussed. Comprised of 18 chapters, this book begins with an introduction to the elements of the theory of topological spaces, the theory of metric spaces, and the theory of abstract measure space

  5. Disentangling the Circularity in Sen's Capability Approach: An Analysis of the Co-Evolution of Functioning Achievement and Resources

    Science.gov (United States)

    Binder, Martin; Coad, Alex

    2011-01-01

    There is an ambiguity in Amartya Sen's capability approach as to what constitutes an individual's resources, conversion factors and valuable functionings. What we here call the "circularity problem" points to the fact that all three concepts seem to be mutually endogenous and interdependent. To econometrically account for this…

  6. Does integration of HIV and SRH services achieve economies of scale and scope in practice? A cost function analysis of the Integra Initiative.

    Science.gov (United States)

    Obure, Carol Dayo; Guinness, Lorna; Sweeney, Sedona; Initiative, Integra; Vassall, Anna

    2016-03-01

    Policy-makers have long argued about the potential efficiency gains and cost savings from integrating HIV and sexual reproductive health (SRH) services, particularly in resource-constrained settings with generalised HIV epidemics. However, until now, little empirical evidence exists on whether the hypothesised efficiency gains associated with such integration can be achieved in practice. We estimated a quadratic cost function using data obtained from 40 health facilities, over a 2-year-period, in Kenya and Swaziland. The quadratic specification enables us to determine the existence of economies of scale and scope. The empirical results reveal that at the current output levels, only HIV counselling and testing services are characterised by service-specific economies of scale. However, no overall economies of scale exist as all outputs are increased. The results also indicate cost complementarities between cervical cancer screening and HIV care; post-natal care and HIV care and family planning and sexually transmitted infection treatment combinations only. The results from this analysis reveal that contrary to expectation, efficiency gains from the integration of HIV and SRH services, if any, are likely to be modest. Efficiency gains are likely to be most achievable in settings that are currently delivering HIV and SRH services at a low scale with high levels of fixed costs. The presence of cost complementarities for only three service combinations implies that careful consideration of setting-specific clinical practices and the extent to which they can be combined should be made when deciding which services to integrate. NCT01694862. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://www.bmj.com/company/products-services/rights-and-licensing/

  7. Enforcement of evaluation by achievement analysis system

    International Nuclear Information System (INIS)

    Konishi, Yasutoshi; Sonoyama, Minoru; Suzuki, Atsushi

    2004-02-01

    Japan Nuclear Cycle Development Institute (JNC) has developed FBR achievement analysis system by the last fiscal year and has enforced the investigation of its functional expansion. That system is based on the AHP (Analytic Hierarchy Process) to do comparative evaluation multilaterally between proposed concepts of FBR cycle or between FBR cycle and other power source systems. This fiscal year, we enforced achievement analysis for 22 cases of proposed concepts of FBR cycle and between FBR cycle and other power source systems (LWR, thermal power generation, hydraulic power generation, etc.). The evaluation items related with technical feasibility and social acceptability were included in addition to those of economy, resource utilization effectiveness, environmental burden reduction, nuclear proliferation resistance and safety. Also, we investigated social changes that could happen in our country in the future, and we drew 4 future scenarios combining likely changes, then we investigated classifications of weight that seem to be adequate under each scenario with its calculation logic. In establishing points of view or structure of evaluation, and in the process of drawing scenarios, we collected comments from experts in OR (Operations Research) field and energy field. (author)

  8. [Self-esteem, family function, and school achievement of adolescents].

    Science.gov (United States)

    Gutiérrez-Saldaña, Pedro; Camacho-Calderón, Nicolás; Martínez-Martínez, Martha L

    2007-11-01

    To determine the relationship between academic achievement, self-esteem and family function in adolescents. Descriptive, cross-sectional study. State secondary school in Querétaro state, Mexico. Seventy-four adolescents of both sexes between the ages of 10 and 17, enrolled in a state secondary school. Two groups of 37 pupils were formed, chosen by simple randomized sampling according to high or low academic achievement. Participants were clinically healthy and prior informed consent for their participation was obtained. Self-esteem based on self-concept format A, family function based on FACES III and academic achievement based on the school evaluation scale. A descriptive statistical analysis and the chi2 test were used (P self-esteem, 68% (P = .00007; OR, 7.55; 95% CI, 2.39-24.84); a functional family, 54% (P = .011); were mainly female, 73% (P = .018); age, 13 (60%) (P = .062); school in the morning, 95% (P = .000); and were in second grade, 46% (P = .026). Pupils with low academic achievement had low self-esteem, 78% (P = .00007; OR, 7.55; 95% CI, 2.39-24.84); came from borderline-function families, 43% (P = .47); were male, 54% (P = .018; OR, 3.18; 95% CI, 1.08-9.48); age 13, 38% (P = .062); in afternoon school, 76% (P = .00); and were in first grade, 43% (P = .144). Upon establishing a relationship between academic achievement and family dynamics, it was found that family dysfunction is a risk factor (OR, 6.67; 95% CI, 1.42-34). Low self-esteem and family dysfunction are risk factors for low academic achievement.

  9. Effects of Achieving Target Measures in Rheumatoid Arthritis on Functional Status, Quality of Life, and Resource Utilization: Analysis of Clinical Practice Data.

    Science.gov (United States)

    Alemao, Evo; Joo, Seongjung; Kawabata, Hugh; Al, Maiwenn J; Allison, Paul D; Rutten-van Mölken, Maureen P M H; Frits, Michelle L; Iannaccone, Christine K; Shadick, Nancy A; Weinblatt, Michael E

    2016-03-01

    To evaluate associations between achieving guideline-recommended targets of disease activity, defined by the Disease Activity Score in 28 joints using C-reactive protein level (DAS28-CRP) Clinical Disease Activity Index (CDAI) ≤2.8, and other health outcomes in a longitudinal observational study. Other defined thresholds included low disease activity (LDA), moderate (MDA), or severe disease activity (SDA). To control for intraclass correlation and estimate effects of independent variables on outcomes of the modified Health Assessment Questionnaire (M-HAQ), the EuroQol 5-domain (EQ-5D; a quality-of-life measure), hospitalization, and durable medical equipment (DME) use, we employed mixed models for continuous outcomes and generalized estimating equations for binary outcomes. Among 1,297 subjects, achievement (versus nonachievement) of recommended disease targets was associated with enhanced physical functioning and lower health resource utilization. After controlling for baseline covariates, achievement of disease targets (versus LDA) was associated with significantly enhanced physical functioning based on SDAI ≤3.3 (ΔM-HAQ -0.047; P = 0.0100) and CDAI ≤2.8 (-0.073; P = 0.0003) but not DAS28-CRP measures was associated with enhanced physical functioning and health-related quality of life. Some health outcomes were similar in subjects attaining guideline targets versus LDA. Achieving LDA is a worthy clinical objective in some patients. © 2016 The Authors. Arthritis Care & Research published by Wiley Periodicals, Inc. on behalf of the American College of Rheumatology.

  10. Diet models with linear goal programming: impact of achievement functions.

    Science.gov (United States)

    Gerdessen, J C; de Vries, J H M

    2015-11-01

    Diet models based on goal programming (GP) are valuable tools in designing diets that comply with nutritional, palatability and cost constraints. Results derived from GP models are usually very sensitive to the type of achievement function that is chosen.This paper aims to provide a methodological insight into several achievement functions. It describes the extended GP (EGP) achievement function, which enables the decision maker to use either a MinSum achievement function (which minimizes the sum of the unwanted deviations) or a MinMax achievement function (which minimizes the largest unwanted deviation), or a compromise between both. An additional advantage of EGP models is that from one set of data and weights multiple solutions can be obtained. We use small numerical examples to illustrate the 'mechanics' of achievement functions. Then, the EGP achievement function is demonstrated on a diet problem with 144 foods, 19 nutrients and several types of palatability constraints, in which the nutritional constraints are modeled with fuzzy sets. Choice of achievement function affects the results of diet models. MinSum achievement functions can give rise to solutions that are sensitive to weight changes, and that pile all unwanted deviations on a limited number of nutritional constraints. MinMax achievement functions spread the unwanted deviations as evenly as possible, but may create many (small) deviations. EGP comprises both types of achievement functions, as well as compromises between them. It can thus, from one data set, find a range of solutions with various properties.

  11. A mediation analysis of achievement motives, goals, learning strategies, and academic achievement.

    Science.gov (United States)

    Diseth, Age; Kobbeltvedt, Therese

    2010-12-01

    Previous research is inconclusive regarding antecedents and consequences of achievement goals, and there is a need for more research in order to examine the joint effects of different types of motives and learning strategies as predictors of academic achievement. To investigate the relationship between achievement motives, achievement goals, learning strategies (deep, surface, and strategic), and academic achievement in a hierarchical model. Participants were 229 undergraduate students (mean age: 21.2 years) of psychology and economics at the University of Bergen, Norway. Variables were measured by means of items from the Achievement Motives Scale (AMS), the Approaches and Study Skills Inventory for Students, and an achievement goal scale. Correlation analysis showed that academic achievement (examination grade) was positively correlated with performance-approach goal, mastery goal, and strategic learning strategies, and negatively correlated with performance-avoidance goal and surface learning strategy. A path analysis (structural equation model) showed that achievement goals were mediators between achievement motives and learning strategies, and that strategic learning strategies mediated the relationship between achievement goals and academic achievement. This study integrated previous findings from several studies and provided new evidence on the direct and indirect effects of different types of motives and learning strategies as predictors of academic achievement.

  12. Brain Structure and Resting-State Functional Connectivity in University Professors with High Academic Achievement

    Science.gov (United States)

    Li, Weiwei; Yang, Wenjing; Li, Wenfu; Li, Yadan; Wei, Dongtao; Li, Huimin; Qiu, Jiang; Zhang, Qinglin

    2015-01-01

    Creative persons play an important role in technical innovation and social progress. There is little research on the neural correlates with researchers with high academic achievement. We used a combined structural (regional gray matter volume, rGMV) and functional (resting-state functional connectivity analysis, rsFC) approach to examine the…

  13. Functional Object Analysis

    DEFF Research Database (Denmark)

    Raket, Lars Lau

    We propose a direction it the field of statistics which we will call functional object analysis. This subfields considers the analysis of functional objects defined on continuous domains. In this setting we will focus on model-based statistics, with a particularly emphasis on mixed......-effect formulations, where the observed functional signal is assumed to consist of both fixed and random functional effects. This thesis takes the initial steps toward the development of likelihood-based methodology for functional objects. We first consider analysis of functional data defined on high...

  14. Functional analysis and applications

    CERN Document Server

    Siddiqi, Abul Hasan

    2018-01-01

    This self-contained textbook discusses all major topics in functional analysis. Combining classical materials with new methods, it supplies numerous relevant solved examples and problems and discusses the applications of functional analysis in diverse fields. The book is unique in its scope, and a variety of applications of functional analysis and operator-theoretic methods are devoted to each area of application. Each chapter includes a set of problems, some of which are routine and elementary, and some of which are more advanced. The book is primarily intended as a textbook for graduate and advanced undergraduate students in applied mathematics and engineering. It offers several attractive features making it ideally suited for courses on functional analysis intended to provide a basic introduction to the subject and the impact of functional analysis on applied and computational mathematics, nonlinear functional analysis and optimization. It introduces emerging topics like wavelets, Gabor system, inverse pro...

  15. 2 x 2 Achievement Goals and Achievement Emotions: A Cluster Analysis of Students' Motivation

    Science.gov (United States)

    Jang, Leong Yeok; Liu, Woon Chia

    2012-01-01

    This study sought to better understand the adoption of multiple achievement goals at an intra-individual level, and its links to emotional well-being, learning, and academic achievement. Participants were 480 Secondary Two students (aged between 13 and 14 years) from two coeducational government schools. Hierarchical cluster analysis revealed the…

  16. Functional data analysis

    CERN Document Server

    Ramsay, J O

    1997-01-01

    Scientists today collect samples of curves and other functional observations. This monograph presents many ideas and techniques for such data. Included are expressions in the functional domain of such classics as linear regression, principal components analysis, linear modelling, and canonical correlation analysis, as well as specifically functional techniques such as curve registration and principal differential analysis. Data arising in real applications are used throughout for both motivation and illustration, showing how functional approaches allow us to see new things, especially by exploiting the smoothness of the processes generating the data. The data sets exemplify the wide scope of functional data analysis; they are drwan from growth analysis, meterology, biomechanics, equine science, economics, and medicine. The book presents novel statistical technology while keeping the mathematical level widely accessible. It is designed to appeal to students, to applied data analysts, and to experienced researc...

  17. Fundamentals of functional analysis

    CERN Document Server

    Farenick, Douglas

    2016-01-01

    This book provides a unique path for graduate or advanced undergraduate students to begin studying the rich subject of functional analysis with fewer prerequisites than is normally required. The text begins with a self-contained and highly efficient introduction to topology and measure theory, which focuses on the essential notions required for the study of functional analysis, and which are often buried within full-length overviews of the subjects. This is particularly useful for those in applied mathematics, engineering, or physics who need to have a firm grasp of functional analysis, but not necessarily some of the more abstruse aspects of topology and measure theory normally encountered. The reader is assumed to only have knowledge of basic real analysis, complex analysis, and algebra. The latter part of the text provides an outstanding treatment of Banach space theory and operator theory, covering topics not usually found together in other books on functional analysis. Written in a clear, concise manner,...

  18. Maternal Employment and Children's Achievement in Context: A Meta-Analysis of Four Decades of Research

    Science.gov (United States)

    Goldberg, Wendy A.; Prause, JoAnn; Lucas-Thompson, Rachel; Himsel, Amy

    2008-01-01

    This meta-analysis of 68 studies (770 effect sizes) used random effects models to examine whether children's achievement differed depending on whether their mothers were employed. Four achievement outcomes were emphasized: formal tests of achievement and intellectual functioning, grades, and teacher ratings of cognitive competence. When all…

  19. Study strategies and beliefs about learning as a function of academic achievement and achievement goals.

    Science.gov (United States)

    Geller, Jason; Toftness, Alexander R; Armstrong, Patrick I; Carpenter, Shana K; Manz, Carly L; Coffman, Clark R; Lamm, Monica H

    2018-05-01

    Prior research by Hartwig and Dunlosky [(2012). Study strategies of college students: Are self-testing and scheduling related to achievement? Psychonomic Bulletin & Review, 19(1), 126-134] has demonstrated that beliefs about learning and study strategies endorsed by students are related to academic achievement: higher performing students tend to choose more effective study strategies and are more aware of the benefits of self-testing. We examined whether students' achievement goals, independent of academic achievement, predicted beliefs about learning and endorsement of study strategies. We administered Hartwig and Dunlosky's survey, along with the Achievement Goals Questionnaire [Elliot, A. J., & McGregor, H. A. (2001). A 2 × 2 achievement goal framework. Journal of Personality & Social Psychology, 80, 501-519] to a large undergraduate biology course. Similar to results by Hartwig and Dunlosky, we found that high-performing students (relative to low-performing students) were more likely to endorse self-testing, less likely to cram, and more likely to plan a study schedule ahead of time. Independent of achievement, however, achievement goals were stronger predictors of certain study behaviours. In particular, avoidance goals (e.g., fear of failure) coincided with increased use of cramming and the tendency to be driven by impending deadlines. Results suggest that individual differences in student achievement, as well as the underlying reasons for achievement, are important predictors of students' approaches to studying.

  20. Translational Geroscience: Emphasizing function to achieve optimal longevity

    Science.gov (United States)

    Seals, Douglas R.; Melov, Simon

    2014-01-01

    Among individuals, biological aging leads to cellular and organismal dysfunction and an increased risk of chronic degenerative diseases and disability. This sequence of events in combination with the projected increases in the number of older adults will result in a worldwide healthcare burden with dire consequences. Superimposed on this setting are the adults now reaching traditional retirement ages--the baby boomers--a group that wishes to remain active, productive and physically and cognitively fit as they grow older. Together, these conditions are producing an unprecedented demand for increased healthspan or what might be termed “optimal longevity”—to live long, but well. To meet this demand, investigators with interests in the biological aspects of aging from model organisms to human epidemiology (population aging) must work together within an interactive process that we describe as translational geroscience. An essential goal of this new investigational platform should be the optimization and preservation of physiological function throughout the lifespan, including integrative physical and cognitive function, which would serve to increase healthspan, compress morbidity and disability into a shorter period of late-life, and help achieve optimal longevity. To most effectively utilize this new approach, we must rethink how investigators and administrators working at different levels of the translational research continuum communicate and collaborate with each other, how best to train the next generation of scientists in this new field, and how contemporary biological-biomedical aging research should be organized and funded. PMID:25324468

  1. Chronic sleep reduction, functioning at school and school achievement in preadolescents.

    Science.gov (United States)

    Meijer, Anne Marie

    2008-12-01

    This study investigates the relationship between chronic sleep reduction, functioning at school and school achievement of boys and girls. To establish individual consequences of chronic sleep reduction (tiredness, sleepiness, loss of energy and emotional instability) the Chronic Sleep Reduction Questionnaire has been developed. A total of 436 children (219 boys, 216 girls, 1 [corrected] missing; mean age = 11 years and 5 months) from the seventh and eight grades of 12 elementary schools participated in this study. The inter-item reliability (Cronbach's alpha = 0.84) and test-retest reliability (r = 0.78) of the Chronic Sleep Reduction Questionnaire were satisfactory. The construct validity of the questionnaire as measured by a confirmative factor analysis was acceptable as well (CMIN/DF = 1.49; CFI = 0.94; RMSEA = 0.034). Cronbach's alpha's of the scales measuring functioning at school (teacher's influence, self-image as pupil, and achievement motivation) were 0.69, 0.86 and 0.79. School achievement was based on self-reported marks concerning six school subjects. To test the models concerning the relations of chronic sleep reduction, functioning at school, and school achievement, the covariance matrix of these variables were analysed by means of structural equation modelling. To test for differences between boys and girls a multi-group model is used. The models representing the relations between chronic sleep reduction - school achievement and chronic sleep reduction - functioning at school - school achievement fitted the data quite well. The impact of chronic sleep reduction on school achievement and functioning at school appeared to be different for boys and girls. Based on the results of this study, it may be concluded that chronic sleep reduction may affect school achievement directly and indirectly via functioning at school, with worse school marks as a consequence.

  2. Creativity and Academic Achievement: A Meta-Analysis

    Science.gov (United States)

    Gajda, Aleksandra; Karwowski, Maciej; Beghetto, Ronald A.

    2017-01-01

    This article reports on a meta-analysis of 120 studies (total N = 52,578; 782 effects) examining the relationship between creativity and academic achievement in research conducted since the 1960s. Average correlation between creativity and academic achievement was r = 0.22, 95% CI [0.19, 0.24]. An analysis of moderators revealed that this…

  3. Applied functional analysis

    CERN Document Server

    Griffel, DH

    2002-01-01

    A stimulating introductory text, this volume examines many important applications of functional analysis to mechanics, fluid mechanics, diffusive growth, and approximation. Detailed enough to impart a thorough understanding, the text is also sufficiently straightforward for those unfamiliar with abstract analysis. Its four-part treatment begins with distribution theory and discussions of Green's functions. Essentially independent of the preceding material, the second and third parts deal with Banach spaces, Hilbert space, spectral theory, and variational techniques. The final part outlines the

  4. Academic and social achievement goals: Their additive, interactive, and specialized effects on school functioning.

    Science.gov (United States)

    Liem, Gregory Arief D

    2016-03-01

    Students' pursuit of academic and social goals has implications for school functioning. However, studies on academic and social achievement goals have been relatively independent and mainly conducted with students in culturally Western settings. Guided by multiple-goal perspectives, this study examined the role of academic and social achievement goals in outcome variables relevant to academic (achievement, effort/persistence), social (peer relationship satisfaction, loneliness), and socio-academic (cooperative learning, competitive learning, socially regulated, and self-regulated learning) functioning. A total of 356 Indonesian high-school students (mean age = 16 years; 36% girls) participated in the study. A self-report survey comprising items drawn from pre-existing instruments was administered to measure distinct dimensions of achievement goals and outcomes under focus. Regression analysis was performed to examine additive, interactive, and specialized effects of achievement goals on outcomes. Aligned with the hierarchical model of goal relationships (Wentzel, 2000, Contemp. Educ. Psychol., 25, 105), academic and social achievement goals bore additive effects on most outcomes. Findings also revealed a specialized effect on academic achievement and notable interactive effects on cooperative learning. In general, mastery-approach and performance-approach goals were more adaptive than their avoidance counterparts. The effects of social development goals were positive, whereas those of social demonstration-approach goals were mixed. Contrary to prior findings, social demonstration-avoidance goals did not appear to be inimical for school functioning. Findings underscore the importance of both academic and social achievement goals in day-to-day school functioning and the need to consider the meaning of goals and the coordination of multiple goals from cultural lenses. © 2015 The British Psychological Society.

  5. Does Mission Matter? An Analysis of Private School Achievement Differences

    Science.gov (United States)

    Boerema, Albert J.

    2009-01-01

    Using student achievement data from British Columbia, Canada, this study is an exploration of the differences that lie within the private school sector using hierarchical linear modeling to analyze the data. The analysis showed that when controlling for language, parents' level of educational attainment, and prior achievement, the private school…

  6. Applied functional analysis

    CERN Document Server

    Oden, J Tinsley

    2010-01-01

    The textbook is designed to drive a crash course for beginning graduate students majoring in something besides mathematics, introducing mathematical foundations that lead to classical results in functional analysis. More specifically, Oden and Demkowicz want to prepare students to learn the variational theory of partial differential equations, distributions, and Sobolev spaces and numerical analysis with an emphasis on finite element methods. The 1996 first edition has been used in a rather intensive two-semester course. -Book News, June 2010

  7. Notes on functional analysis

    CERN Document Server

    Bhatia, Rajendra

    2009-01-01

    These notes are a record of a one semester course on Functional Analysis given by the author to second year Master of Statistics students at the Indian Statistical Institute, New Delhi. Students taking this course have a strong background in real analysis, linear algebra, measure theory and probability, and the course proceeds rapidly from the definition of a normed linear space to the spectral theorem for bounded selfadjoint operators in a Hilbert space. The book is organised as twenty six lectures, each corresponding to a ninety minute class session. This may be helpful to teachers planning a course on this topic. Well prepared students can read it on their own.

  8. Nonlinear functional analysis

    CERN Document Server

    Deimling, Klaus

    1985-01-01

    topics. However, only a modest preliminary knowledge is needed. In the first chapter, where we introduce an important topological concept, the so-called topological degree for continuous maps from subsets ofRn into Rn, you need not know anything about functional analysis. Starting with Chapter 2, where infinite dimensions first appear, one should be familiar with the essential step of consider­ ing a sequence or a function of some sort as a point in the corresponding vector space of all such sequences or functions, whenever this abstraction is worthwhile. One should also work out the things which are proved in § 7 and accept certain basic principles of linear functional analysis quoted there for easier references, until they are applied in later chapters. In other words, even the 'completely linear' sections which we have included for your convenience serve only as a vehicle for progress in nonlinearity. Another point that makes the text introductory is the use of an essentially uniform mathematical languag...

  9. Maltreatment Related Trauma Symptoms Affect Academic Achievement through Cognitive Functioning: A Preliminary Examination in Japan

    Directory of Open Access Journals (Sweden)

    Kohske Ogata

    2017-09-01

    Full Text Available Child abuse and neglect could have some deleterious impacts on both intellectual and academic performance of school students. The aim of this study was to examine relationships among child maltreatment, trauma symptoms, cognitive functioning, and academic achievement. Data were collected from child guidance centers, where maltreated children were substantiated, assessed, evaluated, protected, and treated clinically. The selection criteria for subjects included Japanese children (1 who had a history of maltreatment; (2 whose IQs were measured using the Kaufman Assessment Battery for Children second edition (KABC-II; and (3 whose traumatic stress was evaluated using the Trauma Symptom Checklist for Children alternate version (TSCC-A. Covariance structure analysis showed the model that explains the relations of trauma symptom (measured by TSCC-A on academic achievement (measured by KABC-II as being intervened by cognitive functioning (measured by KABC-II.

  10. Learning motivation and student achievement : description analysis and relationships both

    Directory of Open Access Journals (Sweden)

    Ari Riswanto

    2017-03-01

    Full Text Available Education is very important for humans, through the education throughout the world will increasingly flourish. However, if faced with the activities within the learning process, not a few men (students who have less motivation in learning activities. This resulted in fewer maximal learning processes and in turn will affect student achievement. This study focuses to discuss matters relating to the motivation to learn and student achievement, with the aim of strengthening the importance of motivation in the learning process so that a clear relationship with student achievement. The method used is descriptive analysis and simple correlation to the 97 students taking the course introduction to Microeconomics and Indonesian. The conclusion from this research is the students have a good record if it has a well and motivated as well, and this study concludes their tie's difference between learning motivation and achievement of students on two different courses.

  11. Corellation Between Achievement Motivation and Entrepreneurial Leadership Quality: Meta Analysis

    Directory of Open Access Journals (Sweden)

    Arman Hakim Nasution

    2010-11-01

    Full Text Available This article presents a meta analysis of the experimental and survey literature that has examined the effect of achievement motivation, as a part of the big five personality factors, and entrepreneurial leadership quality. This quantitative study review 20 studies based on independent samples (N = 6209. Summary analysis is provided to support the hypothesis in which the achievement motivation has a correlation with entrepreneurial leadership quality on a fairness procedural. Result indicates that the achievement motivation influences the quality of entrepreneurial leadership in a significant value (rc = 0.26. This finding is relevant to all stakeholders (educators, governments, and parents to make a better decision on the development of entrepreneurial leadership policies.

  12. Comprehensive School Reform and Achievement: A Meta-Analysis

    Science.gov (United States)

    Borman, Geoffrey D.; Hewes, Gina M.; Overman, Laura T.; Brown, Shelly

    2003-01-01

    This meta-analysis reviews research on the achievement effects of comprehensive school reform (CSR) and summarizes the specific effects of 29 widely implemented models. There are limitations on the overall quantity and quality of the research base, but the overall effects of CSR appear promising. The combined quantity, quality, and statistical…

  13. FY 1998 achievement report on the R and D project on industrial science technology. Development of a functional biomolecule analysis/synthesis system; 1998 nendo kinosei seitai bunshi kaiseki gosei system no kaihatsu seika hokokusho

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    2000-03-01

    For the purpose of developing the technology required for the biotechnology industry, a study was made on proteins having ligand recognition function, and the FY 1998 results were reported. In the technology development of a system for various/diversified syntheses of functional molecules, a system was designed/trially manufactured which enables the simultaneous synthesis of various biological/functional substances (compound library) at high-efficiency. In the development of the structure analysis system of ligand recognized proteins, a high-efficient biopolymer analysis system was developed which is based on TOF (time-of-flight) mass spectrometer and analyzes proteins produced by recombined genes quickly and precisely. In the R and D of functional molecules using ligand recognized proteins, the cloning was successfully made of the human estrogen receptor gene hER {alpha}, which is composed of 1,785 bp, from MCF-7-BOS. Further, the bioassay system for estrogen-like substances using MCF-7 cells was established. (NEDO)

  14. A multi-level differential item functioning analysis of trends in international mathematics and science study: Potential sources of gender and minority difference among U.S. eighth graders' science achievement

    Science.gov (United States)

    Qian, Xiaoyu

    Science is an area where a large achievement gap has been observed between White and minority, and between male and female students. The science minority gap has continued as indicated by the National Assessment of Educational Progress and the Trends in International Mathematics and Science Studies (TIMSS). TIMSS also shows a gender gap favoring males emerging at the eighth grade. Both gaps continue to be wider in the number of doctoral degrees and full professorships awarded (NSF, 2008). The current study investigated both minority and gender achievement gaps in science utilizing a multi-level differential item functioning (DIF) methodology (Kamata, 2001) within fully Bayesian framework. All dichotomously coded items from TIMSS 2007 science assessment at eighth grade were analyzed. Both gender DIF and minority DIF were studied. Multi-level models were employed to identify DIF items and sources of DIF at both student and teacher levels. The study found that several student variables were potential sources of achievement gaps. It was also found that gender DIF favoring male students was more noticeable in the content areas of physics and earth science than biology and chemistry. In terms of item type, the majority of these gender DIF items were multiple choice than constructed response items. Female students also performed less well on items requiring visual-spatial ability. Minority students performed significantly worse on physics and earth science items as well. A higher percentage of minority DIF items in earth science and biology were constructed response than multiple choice items, indicating that literacy may be the cause of minority DIF. Three-level model results suggested that some teacher variables may be the cause of DIF variations from teacher to teacher. It is essential for both middle school science teachers and science educators to find instructional methods that work more effectively to improve science achievement of both female and minority students

  15. Exploring the relations among physical fitness, executive functioning, and low academic achievement.

    Science.gov (United States)

    de Bruijn, A G M; Hartman, E; Kostons, D; Visscher, C; Bosker, R J

    2018-03-01

    Physical fitness seems to be related to academic performance, at least when taking the role of executive functioning into account. This assumption is highly relevant for the vulnerable population of low academic achievers because their academic performance might benefit from enhanced physical fitness. The current study examined whether physical fitness and executive functioning are independent predictors of low mathematics and spelling achievement or whether the relation between physical fitness and low achievement is mediated by specific executive functions. In total, 477 students from second- and third-grade classes of 12 primary schools were classified as either low or average-to-high achievers in mathematics and spelling based on their scores on standardized achievement tests. Multilevel structural equation models were built with direct paths between physical fitness and academic achievement and added indirect paths via components of executive functioning: inhibition, verbal working memory, visuospatial working memory, and shifting. Physical fitness was only indirectly related to low achievement via specific executive functions, depending on the academic domain involved. Verbal working memory was a mediator between physical fitness and low achievement in both domains, whereas visuospatial working memory had a mediating role only in mathematics. Physical fitness interventions aiming to improve low academic achievement, thus, could potentially be successful. The mediating effect of executive functioning suggests that these improvements in academic achievement will be preceded by enhanced executive functions, either verbal working memory (in spelling) or both verbal and visuospatial working memory (in mathematics). Copyright © 2017 Elsevier Inc. All rights reserved.

  16. Discrete Hadamard transformation algorithm's parallelism analysis and achievement

    Science.gov (United States)

    Hu, Hui

    2009-07-01

    With respect to Discrete Hadamard Transformation (DHT) wide application in real-time signal processing while limitation in operation speed of DSP. The article makes DHT parallel research and its parallel performance analysis. Based on multiprocessor platform-TMS320C80 programming structure, the research is carried out to achieve two kinds of parallel DHT algorithms. Several experiments demonstrated the effectiveness of the proposed algorithms.

  17. A Primer on Functional Analysis

    Science.gov (United States)

    Yoman, Jerome

    2008-01-01

    This article presents principles and basic steps for practitioners to complete a functional analysis of client behavior. The emphasis is on application of functional analysis to adult mental health clients. The article includes a detailed flow chart containing all major functional diagnoses and behavioral interventions, with functional assessment…

  18. The Effect of Executive Function on Science Achievement Among Normally Developing 10-Year Olds

    Science.gov (United States)

    Lederman, Sheri G.

    Executive function (EF) is an umbrella term used to identify a set of discrete but interrelated cognitive abilities that enable individuals to engage in goal-directed, future-oriented action in response to a novel context. Developmental studies indicate that EF is predictive of reading and math achievement in middle childhood. The purpose of this study was to identify the association between EF and science achievement among normally developing 10 year olds. A sample of fifth grade students from a Northeastern suburban community participated in tests of EF, science, and intelligence. Consistent with adult models of EF, principal components analysis identified a three-factor model of EF organization in middle childhood, including cognitive flexibility, working memory, and inhibition. Multiple regression analyses revealed that executive function processes of cognitive flexibility, working memory, and inhibition were all predictive of science performance. Post hoc analyses revealed that high-performing science students differed significantly from low-performing students in both cognitive flexibility and working memory. These findings suggest that complex academic demands specific to science achievement rely on the emergence and maturation of EF components.

  19. Cognitive Style and Achievement in Imperative and Functional Programming Language Courses.

    Science.gov (United States)

    Myers, J. Paul, Jr.; Munsinger, Brita

    This paper investigates the relationship between learning style and programming achievement in two paradigms: imperative and functional. An imperative language achieves its effect by changing the value of variables by means of assignment statements while functional languages rely on evaluation of expressions rather than side-effects. Learning…

  20. Strange functions in real analysis

    CERN Document Server

    Kharazishvili, AB

    2005-01-01

    Weierstrass and Blancmange nowhere differentiable functions, Lebesgue integrable functions with everywhere divergent Fourier series, and various nonintegrable Lebesgue measurable functions. While dubbed strange or "pathological," these functions are ubiquitous throughout mathematics and play an important role in analysis, not only as counterexamples of seemingly true and natural statements, but also to stimulate and inspire the further development of real analysis.Strange Functions in Real Analysis explores a number of important examples and constructions of pathological functions. After introducing the basic concepts, the author begins with Cantor and Peano-type functions, then moves to functions whose constructions require essentially noneffective methods. These include functions without the Baire property, functions associated with a Hamel basis of the real line, and Sierpinski-Zygmund functions that are discontinuous on each subset of the real line having the cardinality continuum. Finally, he considers e...

  1. Theoretical numerical analysis a functional analysis framework

    CERN Document Server

    Atkinson, Kendall

    2005-01-01

    This textbook prepares graduate students for research in numerical analysis/computational mathematics by giving to them a mathematical framework embedded in functional analysis and focused on numerical analysis. This helps the student to move rapidly into a research program. The text covers basic results of functional analysis, approximation theory, Fourier analysis and wavelets, iteration methods for nonlinear equations, finite difference methods, Sobolev spaces and weak formulations of boundary value problems, finite element methods, elliptic variational inequalities and their numerical solu

  2. Physical activity and obesity mediate the association between childhood motor function and adolescents’ academic achievement

    OpenAIRE

    Kantomaa, Marko T.; Stamatakis, Emmanuel; Kankaanpää, Anna; Kaakinen, Marika; Rodriguez, Alina; Taanila, Anja; Ahonen, Timo; Järvelin, Marjo-Riitta; Tammelin, Tuija

    2012-01-01

    The global epidemic of obesity and physical inactivity may have detrimental implications for young people’s cognitive function and academic achievement. This prospective study investigated whether childhood motor function predicts later academic achievement via physical activity, fitness, and obesity. The study sample included 8,061 children from the Northern Finland Birth Cohort 1986, which contains data about parent-reported motor function at age 8 y and self-reported physical activity, pre...

  3. Disentangling the relationship between children's motor ability, executive function and academic achievement.

    Directory of Open Access Journals (Sweden)

    Mirko Schmidt

    Full Text Available Even though positive relations between children's motor ability and their academic achievement are frequently reported, the underlying mechanisms are still unclear. Executive function has indeed been proposed, but hardly tested as a potential mediator. The aim of the present study was therefore to examine the mediating role of executive function in the relationship between motor ability and academic achievement, also investigating the individual contribution of specific motor abilities to the hypothesized mediated linkage to academic achievement. At intervals of ten weeks, 236 children aged between 10 and 12 years were tested in terms of their motor ability (t1: cardiovascular endurance, muscular strength, motor coordination, core executive functions (t2: updating, inhibition, shifting, and academic achievement (t3: mathematics, reading, spelling. Structural equation modelling revealed executive function to be a mediator in the relation between motor ability and academic achievement, represented by a significant indirect effect. In separate analyses, each of the three motor abilities were positively related to children's academic achievement. However, only in the case of children's motor coordination, the mediation by executive function accounted for a significance percentage of variance of academic achievement data. The results provide evidence in support of models that conceive executive function as a mechanism explaining the relationship that links children's physical activity-related outcomes to academic achievement and strengthen the advocacy for quality physical activity not merely focused on health-related physical fitness outcomes, but also on motor skill development and learning.

  4. Demographic Analysis from Biometric Data: Achievements, Challenges, and New Frontiers.

    Science.gov (United States)

    Sun, Yunlian; Zhang, Man; Sun, Zhenan; Tan, Tieniu

    2018-02-01

    Biometrics is the technique of automatically recognizing individuals based on their biological or behavioral characteristics. Various biometric traits have been introduced and widely investigated, including fingerprint, iris, face, voice, palmprint, gait and so forth. Apart from identity, biometric data may convey various other personal information, covering affect, age, gender, race, accent, handedness, height, weight, etc. Among these, analysis of demographics (age, gender, and race) has received tremendous attention owing to its wide real-world applications, with significant efforts devoted and great progress achieved. This survey first presents biometric demographic analysis from the standpoint of human perception, then provides a comprehensive overview of state-of-the-art advances in automated estimation from both academia and industry. Despite these advances, a number of challenging issues continue to inhibit its full potential. We second discuss these open problems, and finally provide an outlook into the future of this very active field of research by sharing some promising opportunities.

  5. Understanding the Role of Negative Emotions in Adult Learning and Achievement: A Social Functional Perspective.

    Science.gov (United States)

    Rowe, Anna D; Fitness, Julie

    2018-02-20

    The role of emotions in adult learning and achievement has received increasing attention in recent years. However, much of the emphasis has been on test anxiety, rather than the wider spectrum of negative emotions such as sadness, grief, boredom and anger. This paper reports findings of a qualitative study exploring the experience and functionality of negative emotions at university. Thirty-six academic staff and students from an Australian university were interviewed about emotional responses to a range of learning events. Data analysis was informed by a prototype approach to emotion research. Four categories of discrete negative emotions (anger, sadness, fear, boredom) were considered by teachers and students to be especially salient in learning, with self-conscious emotions (guilt, embarrassment, shame) mentioned by more students than staff. While negative emotions were frequently viewed as detrimental to motivation, performance and learning, they were also construed under some circumstances as beneficial. The findings are discussed in relation to the value of social functional approaches for a better understanding of the diverse roles of negative emotions in learning and achievement.

  6. Understanding the Role of Negative Emotions in Adult Learning and Achievement: A Social Functional Perspective

    Directory of Open Access Journals (Sweden)

    Anna D. Rowe

    2018-02-01

    Full Text Available The role of emotions in adult learning and achievement has received increasing attention in recent years. However, much of the emphasis has been on test anxiety, rather than the wider spectrum of negative emotions such as sadness, grief, boredom and anger. This paper reports findings of a qualitative study exploring the experience and functionality of negative emotions at university. Thirty-six academic staff and students from an Australian university were interviewed about emotional responses to a range of learning events. Data analysis was informed by a prototype approach to emotion research. Four categories of discrete negative emotions (anger, sadness, fear, boredom were considered by teachers and students to be especially salient in learning, with self-conscious emotions (guilt, embarrassment, shame mentioned by more students than staff. While negative emotions were frequently viewed as detrimental to motivation, performance and learning, they were also construed under some circumstances as beneficial. The findings are discussed in relation to the value of social functional approaches for a better understanding of the diverse roles of negative emotions in learning and achievement.

  7. Understanding the Role of Negative Emotions in Adult Learning and Achievement: A Social Functional Perspective

    Science.gov (United States)

    Fitness, Julie

    2018-01-01

    The role of emotions in adult learning and achievement has received increasing attention in recent years. However, much of the emphasis has been on test anxiety, rather than the wider spectrum of negative emotions such as sadness, grief, boredom and anger. This paper reports findings of a qualitative study exploring the experience and functionality of negative emotions at university. Thirty-six academic staff and students from an Australian university were interviewed about emotional responses to a range of learning events. Data analysis was informed by a prototype approach to emotion research. Four categories of discrete negative emotions (anger, sadness, fear, boredom) were considered by teachers and students to be especially salient in learning, with self-conscious emotions (guilt, embarrassment, shame) mentioned by more students than staff. While negative emotions were frequently viewed as detrimental to motivation, performance and learning, they were also construed under some circumstances as beneficial. The findings are discussed in relation to the value of social functional approaches for a better understanding of the diverse roles of negative emotions in learning and achievement. PMID:29461487

  8. Functional Analysis in Interdisciplinary Applications

    CERN Document Server

    Nursultanov, Erlan; Ruzhansky, Michael; Sadybekov, Makhmud

    2017-01-01

    This volume presents current research in functional analysis and its applications to a variety of problems in mathematics and mathematical physics. The book contains over forty carefully refereed contributions to the conference “Functional Analysis in Interdisciplinary Applications” (Astana, Kazakhstan, October 2017). Topics covered include the theory of functions and functional spaces; differential equations and boundary value problems; the relationship between differential equations, integral operators and spectral theory; and mathematical methods in physical sciences. Presenting a wide range of topics and results, this book will appeal to anyone working in the subject area, including researchers and students interested to learn more about different aspects and applications of functional analysis.

  9. Quantum functional analysis non-coordinate approach

    CERN Document Server

    Helemskii, A Ya

    2010-01-01

    This book contains a systematic presentation of quantum functional analysis, a mathematical subject also known as operator space theory. Created in the 1980s, it nowadays is one of the most prominent areas of functional analysis, both as a field of active research and as a source of numerous important applications. The approach taken in this book differs significantly from the standard approach used in studying operator space theory. Instead of viewing "quantized coefficients" as matrices in a fixed basis, in this book they are interpreted as finite rank operators in a fixed Hilbert space. This allows the author to replace matrix computations with algebraic techniques of module theory and tensor products, thus achieving a more invariant approach to the subject. The book can be used by graduate students and research mathematicians interested in functional analysis and related areas of mathematics and mathematical physics. Prerequisites include standard courses in abstract algebra and functional analysis.

  10. The Relationship between Family Functioning and Academic Achievement in Female High School Students of Isfahan, Iran, in 2013-2014.

    Science.gov (United States)

    Rezaei-Dehaghani, Abdollah; Keshvari, Mahrokh; Paki, Somayeh

    2018-01-01

    Nowadays, the most important problem of the educational system is the vast spread of school failure. Therefore, detection of the factors leading to or preventing students' academic achievement is of utmost importance. Family function is considered to be a critical component of academic success. This study aimed to investigate the relationship between family functioning and academic achievement in high school female students in Isfahan. This descriptive correlational study was conducted through random sampling among 237 female high school students in Isfahan during school year 2013-2014. Data were collected by participants' personal characteristics and Bloom family function questionnaires. To analyze the data, descriptive statistics (mean and standard deviation) and inferential statistics (Pearson correlation and linear regression analysis) were adopted and computed using SPSS software. The results showed a significant correlation between family function (except lack of independence) and students' academic achievement ( p family function dimensions, expressiveness ( β = 0.235, p family socialization ( β = 0.219, p = 0.001), and cohesion ( β = 0.211, p = 0.001) were more reliable predictors of academic achievement. The results of this study showed that students' academic achievement is highly correlated with the performance of their families. Therefore, to improve students' educational status in cultural and educational programs, which are specified for them, family function centered plans should be at the heart of attention.

  11. The relationship between family functioning and academic achievement in female high school students of Isfahan, Iran, in 2013–2014

    Directory of Open Access Journals (Sweden)

    Abdollah Rezaei-Dehaghani

    2018-01-01

    Full Text Available Background: Nowadays, the most important problem of the educational system is the vast spread of school failure. Therefore, detection of the factors leading to or preventing students' academic achievement is of utmost importance. Family function is considered to be a critical component of academic success. This study aimed to investigate the relationship between family functioning and academic achievement in high school female students in Isfahan. Materials and Methods: This descriptive correlational study was conducted through random sampling among 237 female high school students in Isfahan during school year 2013-2014. Data were collected by participants' personal characteristics and Bloom family function questionnaires. To analyze the data, descriptive statistics (mean and standard deviation and inferential statistics (Pearson correlation and linear regression analysis were adopted and computed using SPSS software. Results: The results showed a significant correlation between family function (except lack of independence and students' academic achievement (p < 0.05. Further, among family function dimensions, expressiveness (β = 0.235, p < 0.001, family socialization (β = 0.219, p = 0.001, and cohesion (β = 0.211, p = 0.001 were more reliable predictors of academic achievement. Conclusions: The results of this study showed that students' academic achievement is highly correlated with the performance of their families. Therefore, to improve students' educational status in cultural and educational programs, which are specified for them, family function centered plans should be at the heart of attention.

  12. Physical activity and obesity mediate the association between childhood motor function and adolescents' academic achievement.

    Science.gov (United States)

    Kantomaa, Marko T; Stamatakis, Emmanuel; Kankaanpää, Anna; Kaakinen, Marika; Rodriguez, Alina; Taanila, Anja; Ahonen, Timo; Järvelin, Marjo-Riitta; Tammelin, Tuija

    2013-01-29

    The global epidemic of obesity and physical inactivity may have detrimental implications for young people's cognitive function and academic achievement. This prospective study investigated whether childhood motor function predicts later academic achievement via physical activity, fitness, and obesity. The study sample included 8,061 children from the Northern Finland Birth Cohort 1986, which contains data about parent-reported motor function at age 8 y and self-reported physical activity, predicted cardiorespiratory fitness (cycle ergometer test), obesity (body weight and height), and academic achievement (grades) at age 16 y. Structural equation models with unstandardized (B) and standardized (β) coefficients were used to test whether, and to what extent, physical activity, cardiorespiratory fitness, and obesity at age 16 mediated the association between childhood motor function and adolescents' academic achievement. Physical activity was associated with a higher grade-point average, and obesity was associated with a lower grade-point average in adolescence. Furthermore, compromised motor function in childhood had a negative indirect effect on adolescents' academic achievement via physical inactivity (B = -0.023, 95% confidence interval = -0.031, -0.015) and obesity (B = -0.025, 95% confidence interval = -0.039, -0.011), but not via cardiorespiratory fitness. These results suggest that physical activity and obesity may mediate the association between childhood motor function and adolescents' academic achievement. Compromised motor function in childhood may represent an important factor driving the effects of obesity and physical inactivity on academic underachievement.

  13. Physical activity and obesity mediate the association between childhood motor function and adolescents’ academic achievement

    Science.gov (United States)

    Kantomaa, Marko T.; Stamatakis, Emmanuel; Kankaanpää, Anna; Kaakinen, Marika; Rodriguez, Alina; Taanila, Anja; Ahonen, Timo; Järvelin, Marjo-Riitta; Tammelin, Tuija

    2013-01-01

    The global epidemic of obesity and physical inactivity may have detrimental implications for young people’s cognitive function and academic achievement. This prospective study investigated whether childhood motor function predicts later academic achievement via physical activity, fitness, and obesity. The study sample included 8,061 children from the Northern Finland Birth Cohort 1986, which contains data about parent-reported motor function at age 8 y and self-reported physical activity, predicted cardiorespiratory fitness (cycle ergometer test), obesity (body weight and height), and academic achievement (grades) at age 16 y. Structural equation models with unstandardized (B) and standardized (β) coefficients were used to test whether, and to what extent, physical activity, cardiorespiratory fitness, and obesity at age 16 mediated the association between childhood motor function and adolescents’ academic achievement. Physical activity was associated with a higher grade-point average, and obesity was associated with a lower grade-point average in adolescence. Furthermore, compromised motor function in childhood had a negative indirect effect on adolescents’ academic achievement via physical inactivity (B = –0.023, 95% confidence interval = –0.031, –0.015) and obesity (B = –0.025, 95% confidence interval = –0.039, –0.011), but not via cardiorespiratory fitness. These results suggest that physical activity and obesity may mediate the association between childhood motor function and adolescents’ academic achievement. Compromised motor function in childhood may represent an important factor driving the effects of obesity and physical inactivity on academic underachievement. PMID:23277558

  14. Modern psychometrics for assessing achievement goal orientation: a Rasch analysis.

    Science.gov (United States)

    Muis, Krista R; Winne, Philip H; Edwards, Ordene V

    2009-09-01

    A program of research is needed that assesses the psychometric properties of instruments designed to quantify students' achievement goal orientations to clarify inconsistencies across previous studies and to provide a stronger basis for future research. We conducted traditional psychometric and modern Rasch-model analyses of the Achievement Goals Questionnaire (AGQ, Elliot & McGregor, 2001) and the Patterns of Adaptive Learning Scale (PALS, Midgley et al., 2000) to provide an in-depth analysis of the two most popular instruments in educational psychology. For Study 1, 217 undergraduate students enrolled in educational psychology courses participated. Thirty-four were male and 181 were female (two did not respond). Participants completed the AGQ in the context of their educational psychology class. For Study 2, 126 undergraduate students enrolled in educational psychology courses participated. Thirty were male and 95 were female (one did not respond). Participants completed the PALS in the context of their educational psychology class. Traditional psychometric assessments of the AGQ and PALS replicated previous studies. For both, reliability estimates ranged from good to very good for raw subscale scores and fit for the models of goal orientations were good. Based on traditional psychometrics, the AGQ and PALS are valid and reliable indicators of achievement goals. Rasch analyses revealed that estimates of reliability for items were very good but respondent ability estimates varied from poor to good for both the AGQ and PALS. These findings indicate that items validly and reliably reflect a group's aggregate goal orientation, but using either instrument to characterize an individual's goal orientation is hazardous.

  15. Functional Group Analysis.

    Science.gov (United States)

    Smith, Walter T., Jr.; Patterson, John M.

    1984-01-01

    Literature on analytical methods related to the functional groups of 17 chemical compounds is reviewed. These compounds include acids, acid azides, alcohols, aldehydes, ketones, amino acids, aromatic hydrocarbons, carbodiimides, carbohydrates, ethers, nitro compounds, nitrosamines, organometallic compounds, peroxides, phenols, silicon compounds,…

  16. Automatic Functional Harmonic Analysis

    NARCIS (Netherlands)

    de Haas, W.B.; Magalhães, J.P.; Wiering, F.; Veltkamp, R.C.

    2013-01-01

    Music scholars have been studying tonal harmony intensively for centuries, yielding numerous theories and models. Unfortunately, a large number of these theories are formulated in a rather informal fashion and lack mathematical precision. In this article we present HarmTrace, a functional model of

  17. Elementary functional analysis

    CERN Document Server

    Shilov, Georgi E

    1996-01-01

    Introductory text covers basic structures of mathematical analysis (linear spaces, metric spaces, normed linear spaces, etc.), differential equations, orthogonal expansions, Fourier transforms - including problems in the complex domain, especially involving the Laplace transform - and more. Each chapter includes a set of problems, with hints and answers. Bibliography. 1974 edition.

  18. Physiological geroscience: targeting function to increase healthspan and achieve optimal longevity.

    Science.gov (United States)

    Seals, Douglas R; Justice, Jamie N; LaRocca, Thomas J

    2016-04-15

    Most nations of the world are undergoing rapid and dramatic population ageing, which presents great socio-economic challenges, as well as opportunities, for individuals, families, governments and societies. The prevailing biomedical strategy for reducing the healthcare impact of population ageing has been 'compression of morbidity' and, more recently, to increase healthspan, both of which seek to extend the healthy period of life and delay the development of chronic diseases and disability until a brief period at the end of life. Indeed, a recently established field within biological ageing research, 'geroscience', is focused on healthspan extension. Superimposed on this background are new attitudes and demand for 'optimal longevity' - living long, but with good health and quality of life. A key obstacle to achieving optimal longevity is the progressive decline in physiological function that occurs with ageing, which causes functional limitations (e.g. reduced mobility) and increases the risk of chronic diseases, disability and mortality. Current efforts to increase healthspan centre on slowing the fundamental biological processes of ageing such as inflammation/oxidative stress, increased senescence, mitochondrial dysfunction, impaired proteostasis and reduced stress resistance. We propose that optimization of physiological function throughout the lifespan should be a major emphasis of any contemporary biomedical policy addressing global ageing. Effective strategies should delay, reduce in magnitude or abolish reductions in function with ageing (primary prevention) and/or improve function or slow further declines in older adults with already impaired function (secondary prevention). Healthy lifestyle practices featuring regular physical activity and ideal energy intake/diet composition represent first-line function-preserving strategies, with pharmacological agents, including existing and new pharmaceuticals and novel 'nutraceutical' compounds, serving as potential

  19. Study of academic achievements using spatial analysis tools

    Science.gov (United States)

    González, C.; Velilla, C.; Sánchez-Girón, V.

    2012-04-01

    In the 2010/12 academic year the College of Agricultural Engineering of the Technical University of Madrid implemented three new degrees all of them adapted to the European Space for Higher Education. These degrees are namely: Graduate in Agricultural Engineering and Science, Graduate in Food Engineering and Graduate in Agro-Environmental Engineering. A total of 382 new incoming students were finally registered and a survey study was carried out with these students about their academic achievement with the aim of finding the level of dependence among the following variables: the final mark in their secondary studies, the option followed in the secondary studies (Art, Science and Technology, and Humanities and Social Sciences), the mark obtained in the entering examination to the university and in which of the two opportunities per year this examination takes place the latter mark was obtained. Similarly, another group of 77 students were evaluated independently to the former group. These students were those entering the College in the previous academic year (2009/10) and decided to change their curricula to the new ones. Subsequently, using the tools of spatial analysis of geographic information systems, we analyzed the possible relationship between the success or failure at school and the socioeconomic profile of new students in a grade. For this purpose every student was referenced assigning UTM coordinates to their postal addresses. Furthermore, all students' secondary schools were geographically coded considering their typology (public, private, and private subsidized) and fares. Each student was represented by its average geometric point in order to be correlated to their respective record. Following this procedure a map of the performance of each student could be drawn. This map can be used as a reference system, as it includes variables as the distance from the student home to the College, that can be used as a tool to calculate the probability of success or

  20. Functional Generalized Structured Component Analysis.

    Science.gov (United States)

    Suk, Hye Won; Hwang, Heungsun

    2016-12-01

    An extension of Generalized Structured Component Analysis (GSCA), called Functional GSCA, is proposed to analyze functional data that are considered to arise from an underlying smooth curve varying over time or other continua. GSCA has been geared for the analysis of multivariate data. Accordingly, it cannot deal with functional data that often involve different measurement occasions across participants and a large number of measurement occasions that exceed the number of participants. Functional GSCA addresses these issues by integrating GSCA with spline basis function expansions that represent infinite-dimensional curves onto a finite-dimensional space. For parameter estimation, functional GSCA minimizes a penalized least squares criterion by using an alternating penalized least squares estimation algorithm. The usefulness of functional GSCA is illustrated with gait data.

  1. Physiological geroscience: targeting function to increase healthspan and achieve optimal longevity

    Science.gov (United States)

    Justice, Jamie N.; LaRocca, Thomas J.

    2015-01-01

    Abstract Most nations of the world are undergoing rapid and dramatic population ageing, which presents great socio‐economic challenges, as well as opportunities, for individuals, families, governments and societies. The prevailing biomedical strategy for reducing the healthcare impact of population ageing has been ‘compression of morbidity’ and, more recently, to increase healthspan, both of which seek to extend the healthy period of life and delay the development of chronic diseases and disability until a brief period at the end of life. Indeed, a recently established field within biological ageing research, ‘geroscience’, is focused on healthspan extension. Superimposed on this background are new attitudes and demand for ‘optimal longevity’ – living long, but with good health and quality of life. A key obstacle to achieving optimal longevity is the progressive decline in physiological function that occurs with ageing, which causes functional limitations (e.g. reduced mobility) and increases the risk of chronic diseases, disability and mortality. Current efforts to increase healthspan centre on slowing the fundamental biological processes of ageing such as inflammation/oxidative stress, increased senescence, mitochondrial dysfunction, impaired proteostasis and reduced stress resistance. We propose that optimization of physiological function throughout the lifespan should be a major emphasis of any contemporary biomedical policy addressing global ageing. Effective strategies should delay, reduce in magnitude or abolish reductions in function with ageing (primary prevention) and/or improve function or slow further declines in older adults with already impaired function (secondary prevention). Healthy lifestyle practices featuring regular physical activity and ideal energy intake/diet composition represent first‐line function‐preserving strategies, with pharmacological agents, including existing and new pharmaceuticals and novel

  2. Transform analysis of generalized functions

    CERN Document Server

    Misra, O P

    1986-01-01

    Transform Analysis of Generalized Functions concentrates on finite parts of integrals, generalized functions and distributions. It gives a unified treatment of the distributional setting with transform analysis, i.e. Fourier, Laplace, Stieltjes, Mellin, Hankel and Bessel Series.Included are accounts of applications of the theory of integral transforms in a distributional setting to the solution of problems arising in mathematical physics. Information on distributional solutions of differential, partial differential equations and integral equations is conveniently collected here.The volume will

  3. Functional Analysis in Virtual Environments

    Science.gov (United States)

    Vasquez, Eleazar, III; Marino, Matthew T.; Donehower, Claire; Koch, Aaron

    2017-01-01

    Functional analysis (FA) is an assessment procedure involving the systematic manipulation of an individual's environment to determine why a target behavior is occurring. An analog FA provides practitioners the opportunity to manipulate variables in a controlled environment and formulate a hypothesis for the function of a behavior. In previous…

  4. Breaking through barriers: using technology to address executive function weaknesses and improve student achievement.

    Science.gov (United States)

    Schwartz, David M

    2014-01-01

    Assistive technologies provide significant capabilities for improving student achievement. Improved accessibility, cost, and diversity of applications make integration of technology a powerful tool to compensate for executive function weaknesses and deficits and their impact on student performance, learning, and achievement. These tools can be used to compensate for decreased working memory, poor time management, poor planning and organization, poor initiation, and decreased memory. Assistive technology provides mechanisms to assist students with diverse strengths and weaknesses in mastering core curricular concepts.

  5. Learned Helplessness, Test Anxiety, and Academic Achievement: A Longitudinal Analysis.

    Science.gov (United States)

    Fincham, Frank D.; And Others

    1989-01-01

    Examines the stability of individual differences in test anxiety and learned helplessness of 82 children in third grade and later in fifth grade. Results indicate that teacher reports of helplessness had the strongest and most consistent relation to concurrent achievement and to achievement test scores two years later. (RJC)

  6. Educational Achievement and Black-White Inequality. Statistical Analysis Report.

    Science.gov (United States)

    Jacobson, Jonathan; Olsen, Cara; Rice, Jennifer King; Sweetland, Stephen

    This study explored relationships between black-white differences in educational achievement and black-white differences in various educational and economic outcomes. Three data sets examined the extent to which black-white differences in labor market outcomes, in educational attainment, and in mathematics and reading achievement were present for…

  7. Parent involvement and science achievement: A latent growth curve analysis

    Science.gov (United States)

    Johnson, Ursula Yvette

    This study examined science achievement growth across elementary and middle school and parent school involvement using the Early Childhood Longitudinal Study - Kindergarten Class of 1998--1999 (ECLS-K). The ECLS-K is a nationally representative kindergarten cohort of students from public and private schools who attended full-day or half-day kindergarten class in 1998--1999. The present study's sample (N = 8,070) was based on students that had a sampling weight available from the public-use data file. Students were assessed in science achievement at third, fifth, and eighth grades and parents of the students were surveyed at the same time points. Analyses using latent growth curve modeling with time invariant and varying covariates in an SEM framework revealed a positive relationship between science achievement and parent involvement at eighth grade. Furthermore, there were gender and racial/ethnic differences in parents' school involvement as a predictor of science achievement. Findings indicated that students with lower initial science achievement scores had a faster rate of growth across time. The achievement gap between low and high achievers in earth, space and life sciences lessened from elementary to middle school. Parents' involvement with school usually tapers off after elementary school, but due to parent school involvement being a significant predictor of eighth grade science achievement, later school involvement may need to be supported and better implemented in secondary schooling.

  8. Academic Self-Handicapping and Achievement: A Meta-Analysis

    Science.gov (United States)

    Schwinger, Malte; Wirthwein, Linda; Lemmer, Gunnar; Steinmayr, Ricarda

    2014-01-01

    Self-handicapping represents a frequently used strategy for regulating the threat to self-esteem elicited by the fear of failing in academic achievement settings. Several studies have documented negative associations between self-handicapping and different educational outcomes, inter alia academic achievement. However, studies on the relation…

  9. The Interplay of Orthodontics, Periodontics, and Restorative Dentistry to Achieve Aesthetic and Functional Success.

    Science.gov (United States)

    Trushkowsky, Richard D; Alsadah, Zainab; Brea, Luis M; Oquendo, Anabella

    2015-07-01

    Previously dentists focused on repair and maintenance of function. However, the emphasis of many patients and dentists is now on esthetics. Often there is a need for the disciplines of orthodontics, periodontics, restorative dentistry, and maxillofacial surgery to work together in order to achieve optimum results. Currently the sequencing planning process begins with esthetics and then function, structure, and ultimately biology. Copyright © 2015 Elsevier Inc. All rights reserved.

  10. Functional and shape data analysis

    CERN Document Server

    Srivastava, Anuj

    2016-01-01

    This textbook for courses on function data analysis and shape data analysis describes how to define, compare, and mathematically represent shapes, with a focus on statistical modeling and inference. It is aimed at graduate students in analysis in statistics, engineering, applied mathematics, neuroscience, biology, bioinformatics, and other related areas. The interdisciplinary nature of the broad range of ideas covered—from introductory theory to algorithmic implementations and some statistical case studies—is meant to familiarize graduate students with an array of tools that are relevant in developing computational solutions for shape and related analyses. These tools, gleaned from geometry, algebra, statistics, and computational science, are traditionally scattered across different courses, departments, and disciplines; Functional and Shape Data Analysis offers a unified, comprehensive solution by integrating the registration problem into shape analysis, better preparing graduate students for handling fu...

  11. Multilevel sparse functional principal component analysis.

    Science.gov (United States)

    Di, Chongzhi; Crainiceanu, Ciprian M; Jank, Wolfgang S

    2014-01-29

    We consider analysis of sparsely sampled multilevel functional data, where the basic observational unit is a function and data have a natural hierarchy of basic units. An example is when functions are recorded at multiple visits for each subject. Multilevel functional principal component analysis (MFPCA; Di et al. 2009) was proposed for such data when functions are densely recorded. Here we consider the case when functions are sparsely sampled and may contain only a few observations per function. We exploit the multilevel structure of covariance operators and achieve data reduction by principal component decompositions at both between and within subject levels. We address inherent methodological differences in the sparse sampling context to: 1) estimate the covariance operators; 2) estimate the functional principal component scores; 3) predict the underlying curves. Through simulations the proposed method is able to discover dominating modes of variations and reconstruct underlying curves well even in sparse settings. Our approach is illustrated by two applications, the Sleep Heart Health Study and eBay auctions.

  12. The Effect of Executive Function on Science Achievement among Normally Developing 10-Year Olds

    Science.gov (United States)

    Lederman, Sheri G.

    2012-01-01

    Executive function (EF) is an umbrella term used to identify a set of discrete but interrelated cognitive abilities that enable individuals to engage in goal-directed, future-oriented action in response to a novel context. Developmental studies indicate that EF is predictive of reading and math achievement in middle childhood. The purpose of this…

  13. Fine Motor Skills and Executive Function Both Contribute to Kindergarten Achievement

    Science.gov (United States)

    Cameron, Claire E.; Brock, Laura L.; Murrah, William M.; Bell, Lindsay H.; Worzalla, Samantha L.; Grissmer, David; Morrison, Frederick J.

    2012-01-01

    This study examined the contribution of executive function (EF) and multiple aspects of fine motor skills to achievement on 6 standardized assessments in a sample of middle-socioeconomic status kindergarteners. Three- and 4-year-olds' (n = 213) fine and gross motor skills were assessed in a home visit before kindergarten, EF was measured at fall…

  14. Relations of neuropsychological functioning and depressive symptoms to school achievement in children

    Czech Academy of Sciences Publication Activity Database

    Kollerová, Lenka; Preiss, M.; Janošová, Pavlína

    2012-01-01

    Roč. 27, Sup. 1 (2012), s. 250-251 ISSN 0887-0446. [Conference of European Health Psychology Society: Resilience and Health /26./. 21.08.2012-25.08.2012, Praha] R&D Projects: GA ČR(CZ) GAP407/12/2325 Institutional support: RVO:68081740 Keywords : depressive symptoms * executive functions * school achievement Subject RIV: AN - Psychology

  15. Exploring the relations among physical fitness, executive functioning, and low academic achievement

    NARCIS (Netherlands)

    de Bruijn, A.G.M.; Hartman, E.; Kostons, D.; Visscher, C.; Bosker, R.J.

    Physical fitness seems to be related to academic performance, at least when taking the role of executive functioning into account. This assumption is highly relevant for the vulnerable population of low academic achievers because their academic performance might benefit from enhanced physical

  16. Modeling relationships between physical fitness, executive functioning, and academic achievement in primary school children

    NARCIS (Netherlands)

    van der Niet, Anneke G.; Hartman, Esther; Smith, Joanne; Visscher, Chris

    Objectives: The relationship between physical fitness and academic achievement in children has received much attention, however, whether executive functioning plays a mediating role in this relationship is unclear. The aim of this study therefore was to investigate the relationships between physical

  17. Functional Analysis of Metabolomics Data.

    Science.gov (United States)

    Chagoyen, Mónica; López-Ibáñez, Javier; Pazos, Florencio

    2016-01-01

    Metabolomics aims at characterizing the repertory of small chemical compounds in a biological sample. As it becomes more massive and larger sets of compounds are detected, a functional analysis is required to convert these raw lists of compounds into biological knowledge. The most common way of performing such analysis is "annotation enrichment analysis," also used in transcriptomics and proteomics. This approach extracts the annotations overrepresented in the set of chemical compounds arisen in a given experiment. Here, we describe the protocols for performing such analysis as well as for visualizing a set of compounds in different representations of the metabolic networks, in both cases using free accessible web tools.

  18. Wavelets in functional data analysis

    CERN Document Server

    Morettin, Pedro A; Vidakovic, Brani

    2017-01-01

    Wavelet-based procedures are key in many areas of statistics, applied mathematics, engineering, and science. This book presents wavelets in functional data analysis, offering a glimpse of problems in which they can be applied, including tumor analysis, functional magnetic resonance and meteorological data. Starting with the Haar wavelet, the authors explore myriad families of wavelets and how they can be used. High-dimensional data visualization (using Andrews' plots), wavelet shrinkage (a simple, yet powerful, procedure for nonparametric models) and a selection of estimation and testing techniques (including a discussion on Stein’s Paradox) make this a highly valuable resource for graduate students and experienced researchers alike.

  19. Implicit Beliefs, Achievement Goals, and Procrastination: A Mediational Analysis

    Science.gov (United States)

    Howell, Andrew J.; Buro, Karen

    2009-01-01

    As a maladaptive behavioural outcome, procrastination should correlate with beliefs about ability and achievement goals that are themselves relatively maladaptive. Accordingly, procrastination should be predicted by entity as opposed to incremental implicit theories (i.e., viewing attributes such as ability as relatively fixed vs. malleable,…

  20. Physical Activity, Fitness, Cognitive Function, and Academic Achievement in Children: A Systematic Review

    Science.gov (United States)

    Donnelly, Joseph E.; Hillman, Charles H.; Castelli, Darla; Etnier, Jennifer L.; Lee, Sarah; Tomporowski, Phillip; Lambourne, Kate; Szabo-Reed, Amanda N.

    2016-01-01

    Background The relation among physical activity (PA), fitness, cognitive function, and academic achievement in children is receiving considerable attention. The utility of PA to improve cognition and academic achievement is promising but uncertain; thus, this position stand will provide clarity from the available science. Objective To answer the following questions: (1) among children aged 5-13, do PA and physical fitness influence cognition, learning, brain structure, and brain function? (2) among children aged 5-13, do PA, physical education, and sports programs influence standardized achievement test performance and concentration/attention? Study Eligibility Criteria Primary source articles published in English in peer-reviewed journals. Articles that presented data on, PA, fitness or physical education (PE)/sport participation and cognition, learning, brain function/structure, academic achievement, or concentration/attention were included. Data Sources Two separate searches were performed to identify studies that focused on (1) cognition, learning, brain structure, and brain function; and (2) standardized achievement test performance and concentration/attention. PubMed, ERIC, PsychInfo, SportDiscus, Scopus, Web of Science, Academic Search Premier, and Embase were searched (January 1990- September 2014) for studies that met inclusion criteria. Sixty-four met inclusion criteria for the first search (cognition/learning/brain) and 73 studies met inclusion criteria for the second search (academic achievement/concentration). Study appraisal and synthesis methods Articles were grouped by study design as cross-sectional, longitudinal, acute, or intervention trials. Considerable heterogeneity existed for several important study parameters, therefore results were synthesized and presented by study design. Results A majority of the research supports the view that physical fitness, single bouts of PA, and PA interventions benefit children's cognitive functioning. Limited

  1. Physical Activity, Fitness, Cognitive Function, and Academic Achievement in Children: A Systematic Review.

    Science.gov (United States)

    Donnelly, Joseph E; Hillman, Charles H; Castelli, Darla; Etnier, Jennifer L; Lee, Sarah; Tomporowski, Phillip; Lambourne, Kate; Szabo-Reed, Amanda N

    2016-06-01

    The relationship among physical activity (PA), fitness, cognitive function, and academic achievement in children is receiving considerable attention. The utility of PA to improve cognition and academic achievement is promising but uncertain; thus, this position stand will provide clarity from the available science. The purpose of this study was to answer the following questions: 1) among children age 5-13 yr, do PA and physical fitness influence cognition, learning, brain structure, and brain function? 2) Among children age 5-13 yr, do PA, physical education (PE), and sports programs influence standardized achievement test performance and concentration/attention? This study used primary source articles published in English in peer-reviewed journals. Articles that presented data on, PA, fitness, or PE/sport participation and cognition, learning, brain function/structure, academic achievement, or concentration/attention were included. Two separate searches were performed to identify studies that focused on 1) cognition, learning, brain structure, and brain function and 2) standardized achievement test performance and concentration/attention. PubMed, ERIC, PsychInfo, SportDiscus, Scopus, Web of Science, Academic Search Premier, and Embase were searched (January 1990-September 2014) for studies that met inclusion criteria. Sixty-four studies met inclusion criteria for the first search (cognition/learning/brain), and 73 studies met inclusion criteria for the second search (academic achievement/concentration). Articles were grouped by study design as cross-sectional, longitudinal, acute, or intervention trials. Considerable heterogeneity existed for several important study parameters; therefore, results were synthesized and presented by study design. A majority of the research supports the view that physical fitness, single bouts of PA, and PA interventions benefit children's cognitive functioning. Limited evidence was available concerning the effects of PA on learning

  2. Fifteen papers on functional analysis

    CERN Document Server

    Allakhverdiev, B P; Fainshtein, A S; Khelemskii, AYa; Klenina, LI

    1984-01-01

    The papers in this volume cover topics on functional analysis. They have been selected, translated, and edited from publications not otherwise translated into English under the auspices of the AMS-ASL-IMS Committee on Translations from Russian and Other Foreign Languages.

  3. Static Analysis of Functional Programs

    NARCIS (Netherlands)

    van den Berg, Klaas; van den Broek, P.M.

    1994-01-01

    In this paper, the static analysis of programs in the functional programming language Miranda is described based on two graph models. A new control-flow graph model of Miranda definitions is presented, and a model with four classes of caligraphs. Standard software metrics are applicable to these

  4. Function analysis of unknown genes

    DEFF Research Database (Denmark)

    Rogowska-Wrzesinska, A.

    2002-01-01

      This thesis entitled "Function analysis of unknown genes" presents the use of proteome analysis for the characterisation of yeast (Saccharomyces cerevisiae) genes and their products (proteins especially those of unknown function). This study illustrates that proteome analysis can be used...... to describe different aspects of molecular biology of the cell, to study changes that occur in the cell due to overexpression or deletion of a gene and to identify various protein modifications. The biological questions and the results of the described studies show the diversity of the information that can...... genes and proteins. It reports the first global proteome database collecting 36 yeast single gene deletion mutants and selecting over 650 differences between analysed mutants and the wild type strain. The obtained results show that two-dimensional gel electrophoresis and mass spectrometry based proteome...

  5. Fine motor skills and executive function both contribute to kindergarten achievement

    Science.gov (United States)

    Cameron, Claire E.; Brock, Laura L.; Murrah, William M.; Bell, Lindsay H.; Worzalla, Samantha L.; Grissmer, David; Morrison, Frederick J.

    2012-01-01

    This study examined the contribution of executive function (EF) and multiple aspects of fine motor skills to achievement on six standardized assessments in a sample of middle-SES kindergarteners. 3- and 4-year-olds’ (N=213) fine and gross motor skills were assessed in a home visit before kindergarten; EF was measured at fall of kindergarten; and Woodcock-Johnson III (WJ III) Tests of Academic Achievement were administered at fall and spring. Correlations indicated that EF and fine motor skills appeared distinct. Further, controlling for background variables, higher levels of both EF and fine motor skills, specifically design copy, predicted higher achievement on multiple subtests at kindergarten entry, as well as improvement from fall to spring. Implications for research on school readiness are discussed. PMID:22537276

  6. EVENT PLANNING USING FUNCTION ANALYSIS

    Energy Technology Data Exchange (ETDEWEB)

    Lori Braase; Jodi Grgich

    2011-06-01

    Event planning is expensive and resource intensive. Function analysis provides a solid foundation for comprehensive event planning (e.g., workshops, conferences, symposiums, or meetings). It has been used at Idaho National Laboratory (INL) to successfully plan events and capture lessons learned, and played a significant role in the development and implementation of the “INL Guide for Hosting an Event.” Using a guide and a functional approach to planning utilizes resources more efficiently and reduces errors that could be distracting or detrimental to an event. This integrated approach to logistics and program planning – with the primary focus on the participant – gives us the edge.

  7. Is emotional functioning related to academic achievement among university students? Results from a cross-sectional Iranian sample

    Directory of Open Access Journals (Sweden)

    Dena Sadeghi Bahmani

    2018-03-01

    Full Text Available Objective: Whereas several studies have predicted academic achievement (AA as a function of favorable cognitive factors and low negative emotional functioning (such as depression and anxiety, little is known about its associations with cognitive-emotional states of positive emotional functioning, such as social satisfaction. The present study sought to evaluate associations of AA with dimensions of negative and positive emotional functioning. Method: This cross-sectional study enrolled 275 students (mean age, 21.24 years; 66.1% females, who completed questionnaires covering sociodemographic parameters and AA scores, as well as measures of loneliness and depression (representing negative emotional functioning and social satisfaction (representing positive emotional functioning. Results: Lower scores for negative and higher scores for positive emotional functioning were associated with higher AA scores. Multiple regression analysis showed that AA was predicted independently by both low negative and high positive emotional functioning. No gender differences were observed. Conclusions: The pattern of results observed in this study suggests that opposing dimensions of emotional functioning are independently related to AA. Students, educators, and health professionals dealing with students should focus both on increasing social satisfaction and on decreasing feelings of loneliness and depression.

  8. Error Patterns with Fraction Calculations at Fourth Grade as a Function of Students' Mathematics Achievement Status.

    Science.gov (United States)

    Schumacher, Robin F; Malone, Amelia S

    2017-09-01

    The goal of the present study was to describe fraction-calculation errors among 4 th -grade students and determine whether error patterns differed as a function of problem type (addition vs. subtraction; like vs. unlike denominators), orientation (horizontal vs. vertical), or mathematics-achievement status (low- vs. average- vs. high-achieving). We specifically addressed whether mathematics-achievement status was related to students' tendency to operate with whole number bias. We extended this focus by comparing low-performing students' errors in two instructional settings that focused on two different types of fraction understandings: core instruction that focused on part-whole understanding vs. small-group tutoring that focused on magnitude understanding. Results showed students across the sample were more likely to operate with whole number bias on problems with unlike denominators. Students with low or average achievement (who only participated in core instruction) were more likely to operate with whole number bias than students with low achievement who participated in small-group tutoring. We suggest instruction should emphasize magnitude understanding to sufficiently increase fraction understanding for all students in the upper elementary grades.

  9. Growth, functional capacities and motivation for achievement and competitiveness in youth basketball: an interdisciplinary approach.

    Science.gov (United States)

    Carvalho, Humberto Moreira; Gonçalves, Carlos E; Collins, Dave; Paes, Roberto R

    2018-04-01

    The interaction of multiple influences on the path to sport success is not yet fully understood by sport scientists. In this study, we examined variation in body size, functional capacities and motivation for achievement, competitiveness and deliberate practice of youth basketball players associated with differences in biological maturity status, chronological age and years of training experience. Reflecting the importance of interactive effects, we examined the relationships between the psychological variables and functional capacities. Fifty-eight male basketball players aged 9.5 to 15.5 years were considered. Variables included chronological age, estimated age at peak height velocity, stature, body mass and sitting height by anthropometry; the Work and Family Orientation and Deliberate Practice Motivation Questionnaires were also used. Finally, the Line Drill test and Yo-Yo Intermittent Recovery level 1 (Yo-Yo IR1) tests were used as functional capacities indicators for basketball. Variance components models derived from series of multilevel linear regression models revealed a substantial variation by maturity status for body size, functional capacities indicators, mastery and will to excel. The influence of estimated maturity status on mastery and will to excel was independent of age and years of experience. In contrast, no relationships were observed between psychological variables and functional capacities indicators. We conclude that growth-related changes are relevant to understanding players´ motivations for achievement, competitiveness and deliberate practice. This should be of interest to those involved in the selection and development of youth basketball players.

  10. Psychotic disorder and educational achievement: a family-based analysis.

    Science.gov (United States)

    Frissen, Aleida; Lieverse, Ritsaert; Marcelis, Machteld; Drukker, Marjan; Delespaul, Philippe

    2015-10-01

    Early social and cognitive alterations in psychotic disorder, associated with familial liability and environmental exposures, may contribute to lower than expected educational achievement. The aims of the present study were to investigate (1) how differences in educational level between parents and their children vary across patients, their healthy siblings, and healthy controls (effect familial liability), and across two environmental risk factors for psychotic disorder: childhood trauma and childhood urban exposure (effect environment) and (2) to what degree the association between familial liability and educational differential was moderated by the environmental exposures. Patients with a diagnosis of non-affective psychotic disorder (n = 629), 552 non-psychotic siblings and 326 healthy controls from the Netherlands and Belgium were studied. Participants reported their highest level of education and that of their parents. Childhood trauma was assessed with the Dutch version of the Childhood Trauma Questionnaire-Short Form. Urban exposure, expressed as population density, was rated across five levels. Overall, participants had a higher level of education than their parents. This difference was significantly reduced in the patient group, and the healthy siblings displayed intergenerational differences that were in between those of controls and patients. Higher levels of childhood urban exposure were also associated with a smaller intergenerational educational differential. There was no evidence for differential sensitivity to childhood trauma and childhood urbanicity across the three groups. Intergenerational difference in educational achievements is decreased in patients with psychotic disorder and to a lesser extent in siblings of patients with psychotic disorder, and across higher levels of childhood urban exposure. More research is required to better understand the dynamics between early social and cognitive alterations in those at risk in relation to progress

  11. Functional analysis theory and applications

    CERN Document Server

    Edwards, RE

    2011-01-01

    ""The book contains an enormous amount of information - mathematical, bibliographical and historical - interwoven with some outstanding heuristic discussions."" - Mathematical Reviews.In this massive graduate-level study, Emeritus Professor Edwards (Australian National University, Canberra) presents a balanced account of both the abstract theory and the applications of linear functional analysis. Written for readers with a basic knowledge of set theory, general topology, and vector spaces, the book includes an abundance of carefully chosen illustrative examples and excellent exercises at the

  12. Initial Language Status and Achievement Trajectories Among Hispanic Students: Mediation Through Executive Function

    OpenAIRE

    Wang, Wei

    2017-01-01

    This dissertation systematically estimated the differences in academic achievement trajectories based on children’s initial language status at kindergarten entry among Hispanic students. The dissertation also thoroughly tested the hypothesis that the academic advantage of bilingualism is operating through a cognitive channel using mediational analysis in a latent growth model framework. The major findings of this dissertation are as follows: 1. bilingual students with limited English proficie...

  13. B Plant function analysis report

    International Nuclear Information System (INIS)

    Lund, D.P.

    1995-09-01

    The document contains the functions, function definitions, function interfaces, function interface definitions, Input Computer Automated Manufacturing Definition (IDEFO) diagrams, and a function hierarchy chart that describe what needs to be performed to deactivate B Plant

  14. Cosmetic and functional reconstruction achieved using a split myofascial bone flap for pterional craniotomy. Technical note.

    Science.gov (United States)

    Matsumoto, K; Akagi, K; Abekura, M; Ohkawa, M; Tasaki, O; Tomishima, T

    2001-04-01

    Cosmetic deformities that appear following pterional craniotomy are usually caused by temporal muscle atrophy, injury to the frontotemporal branch of the facial nerve, or bone pits in the craniotomy line. To resolve these problems during pterional craniotomy, an alternative method was developed in which a split myofascial bone flap and a free bone flap are used. The authors have used this method in the treatment of 40 patients over the last 3 years. Excellent cosmetic and functional results have been obtained. This method can provide wide exposure similar to that achieved using Yaşargil's interfascial pterional craniotomy, without limiting the operative field with a bulky temporal muscle flap.

  15. How preschool executive functioning predicts several aspects of math achievement in Grades 1 and 3: A longitudinal study.

    Science.gov (United States)

    Viterbori, Paola; Usai, M Carmen; Traverso, Laura; De Franchis, Valentina

    2015-12-01

    This longitudinal study analyzes whether selected components of executive function (EF) measured during the preschool period predict several indices of math achievement in primary school. Six EF measures were assessed in a sample of 5-year-old children (N = 175). The math achievement of the same children was then tested in Grades 1 and 3 using both a composite math score and three single indices of written calculation, arithmetical facts, and problem solving. Using previous results obtained from the same sample of children, a confirmatory factor analysis examining the latent EF structure in kindergarten indicated that a two-factor model provided the best fit for the data. In this model, inhibition and working memory (WM)-flexibility were separate dimensions. A full structural equation model was then used to test the hypothesis that math achievement (the composite math score and single math scores) in Grades 1 and 3 could be explained by the two EF components comprising the kindergarten model. The results indicate that the WM-flexibility component measured during the preschool period substantially predicts mathematical achievement, especially in Grade 3. The math composite scores were predicted by the WM-flexibility factor at both grade levels. In Grade 3, both problem solving and arithmetical facts were predicted by the WM-flexibility component. The results empirically support interventions that target EF as an important component of early childhood mathematics education. Copyright © 2015 Elsevier Inc. All rights reserved.

  16. Functional Multiple-Set Canonical Correlation Analysis

    Science.gov (United States)

    Hwang, Heungsun; Jung, Kwanghee; Takane, Yoshio; Woodward, Todd S.

    2012-01-01

    We propose functional multiple-set canonical correlation analysis for exploring associations among multiple sets of functions. The proposed method includes functional canonical correlation analysis as a special case when only two sets of functions are considered. As in classical multiple-set canonical correlation analysis, computationally, the…

  17. Gaussian process regression analysis for functional data

    CERN Document Server

    Shi, Jian Qing

    2011-01-01

    Gaussian Process Regression Analysis for Functional Data presents nonparametric statistical methods for functional regression analysis, specifically the methods based on a Gaussian process prior in a functional space. The authors focus on problems involving functional response variables and mixed covariates of functional and scalar variables.Covering the basics of Gaussian process regression, the first several chapters discuss functional data analysis, theoretical aspects based on the asymptotic properties of Gaussian process regression models, and new methodological developments for high dime

  18. Executive Functioning and Reading Achievement in School: A study of Brazilian Children Assessed by Their Teachers as Poor Readers

    Directory of Open Access Journals (Sweden)

    Pascale M. J. Engel de Abreu

    2014-06-01

    Full Text Available This study examined executive functioning and reading achievement in 106 6- to 8-year-old Brazilian children from a range of social backgrounds of whom approximately half lived below the poverty line. A particular focus was to explore the executive function profile of children whose classroom reading performance was judged below standard by their teachers and who were carefully matched to controls on chronological age, sex, school type (Private or Public, domicile (Salvador/BA or São Paulo/SP, and socioeconomic status. Children completed a battery of 12 executive function tasks that were conceptually tapping cognitive flexibility, working memory, inhibition, and selective attention. Each executive function domain was assessed by several tasks. Principal component analysis extracted four factors that were labeled Working Memory/Cognitive Flexibility, Interference Suppression, Selective Attention, and Response Inhibition. Individual differences in executive functioning components made differential contributions to early reading achievement. The Working Memory/Cognitive Flexibility factor emerged as the best predictor of reading. Group comparisons on computed factor scores showed that the struggling readers presented limitations in Working Memory/Cognitive Flexibility, but not in other executive function components, compared to more skilled readers. These results validate the account that working memory capacity provides a crucial building block for the development of early literacy skills and extends it to a population of early readers of Portuguese from Brazil. The study suggests that deficits in working memory/cognitive flexibility might represent one contributing factor to reading difficulties in early readers which might have important implications for interventions for children at risk of school failure.

  19. What Happens to the Fish's Achievement in a Little Pond? A Simultaneous Analysis of Class-Average Achievement Effects on Achievement and Academic Self-Concept

    Science.gov (United States)

    Stäbler, Franziska; Dumont, Hanna; Becker, Michael; Baumert, Jürgen

    2017-01-01

    Empirical studies have demonstrated that students who are taught in a group of students with higher average achievement benefit in terms of their achievement. However, there is also evidence showing that being surrounded by high-achieving students has a negative effect on students' academic self-concept, also known as the big-fish--little-pond…

  20. Interpretable functional principal component analysis.

    Science.gov (United States)

    Lin, Zhenhua; Wang, Liangliang; Cao, Jiguo

    2016-09-01

    Functional principal component analysis (FPCA) is a popular approach to explore major sources of variation in a sample of random curves. These major sources of variation are represented by functional principal components (FPCs). The intervals where the values of FPCs are significant are interpreted as where sample curves have major variations. However, these intervals are often hard for naïve users to identify, because of the vague definition of "significant values". In this article, we develop a novel penalty-based method to derive FPCs that are only nonzero precisely in the intervals where the values of FPCs are significant, whence the derived FPCs possess better interpretability than the FPCs derived from existing methods. To compute the proposed FPCs, we devise an efficient algorithm based on projection deflation techniques. We show that the proposed interpretable FPCs are strongly consistent and asymptotically normal under mild conditions. Simulation studies confirm that with a competitive performance in explaining variations of sample curves, the proposed FPCs are more interpretable than the traditional counterparts. This advantage is demonstrated by analyzing two real datasets, namely, electroencephalography data and Canadian weather data. © 2015, The International Biometric Society.

  1. Functional 2D Procrustes Shape Analysis

    DEFF Research Database (Denmark)

    Larsen, Rasmus

    2005-01-01

    Using a landmark based approach to Procrustes alignment neglects the functional nature of outlines and surfaces. In order to re-introduce this functional nature into the analysis we will consider alignment of shapes with functional representations. First functional Procrustes analysis of curve...

  2. Study on Feasibility of Applying Function Approximation Moment Method to Achieve Reliability-Based Design Optimization

    International Nuclear Information System (INIS)

    Huh, Jae Sung; Kwak, Byung Man

    2011-01-01

    Robust optimization or reliability-based design optimization are some of the methodologies that are employed to take into account the uncertainties of a system at the design stage. For applying such methodologies to solve industrial problems, accurate and efficient methods for estimating statistical moments and failure probability are required, and further, the results of sensitivity analysis, which is needed for searching direction during the optimization process, should also be accurate. The aim of this study is to employ the function approximation moment method into the sensitivity analysis formulation, which is expressed as an integral form, to verify the accuracy of the sensitivity results, and to solve a typical problem of reliability-based design optimization. These results are compared with those of other moment methods, and the feasibility of the function approximation moment method is verified. The sensitivity analysis formula with integral form is the efficient formulation for evaluating sensitivity because any additional function calculation is not needed provided the failure probability or statistical moments are calculated

  3. Functional Analysis and Treatment of Nail Biting

    Science.gov (United States)

    Dufrene, Brad A.; Watson, T. Steuart; Kazmerski, Jennifer S.

    2008-01-01

    This study applied functional analysis methodology to nail biting exhibited by a 24-year-old female graduate student. Results from the brief functional analysis indicated variability in nail biting across assessment conditions. Functional analysis data were then used to guide treatment development and implementation. Treatment included a…

  4. Orthogonal use of a human tRNA synthetase active site to achieve multi-functionality

    Science.gov (United States)

    Zhou, Quansheng; Kapoor, Mili; Guo, Min; Belani, Rajesh; Xu, Xiaoling; Kiosses, William B.; Hanan, Melanie; Park, Chulho; Armour, Eva; Do, Minh-Ha; Nangle, Leslie A.; Schimmel, Paul; Yang, Xiang-Lei

    2011-01-01

    Protein multi-functionality is an emerging explanation for the complexity of higher organisms. In this regard, while aminoacyl tRNA synthetases catalyze amino acid activation for protein synthesis, some also act in pathways for inflammation, angiogenesis, and apoptosis. How multiple functions evolved and their relationship to the active site is not clear. Here structural modeling analysis, mutagenesis, and cell-based functional studies show that the potent angiostatic, natural fragment of human TrpRS associates via Trp side chains that protrude from the cognate cellular receptor VE-cadherin. Modeling indicates that (I prefer the way it was because the conclusion was reached not only by modeling, but more so by experimental studies.)VE-cadherin Trp side chains fit into the Trp-specific active site of the synthetase. Thus, specific side chains of the receptor mimic (?) amino acid substrates and expand the functionality of the active site of the synthetase. We propose that orthogonal use of the same active site may be a general way to develop multi-functionality of human tRNA synthetases and other proteins. PMID:20010843

  5. The effectiveness of game and recreational activity to motivate high achievers and low achievers: Evaluation using fuzzy conjoint analysis

    Science.gov (United States)

    Sofian, Siti Siryani; Rambely, Azmin Sham

    2018-04-01

    Students' evaluation is important in order to determine the effectiveness of a learning program. A game and recreational activity (GaRA) is a problem-based learning (PBL) method that engages students in a learning process through games and activity. The effectiveness of GaRA can be determined from an application of fuzzy conjoint analysis (FCA) to diminish fuzziness in determining individual perceptions. This study involves a survey collected from 68 students participating in a Mathematics Discovery Camp organized by a UKM research group, named PRISMatik, from two different schools. The aim of this research was to determine the effectiveness of modules delivered to motivate students towards mathematics subject in the form of GaRA through different factors. There were six games conducted for the participants and their perceptions based on the evaluation of six criterias were measured. A seven-point Likert scale, which indicates seven linguistic terms, was used to collect students' preferences and perceptions on each module of GaRAs. Scores of perceptions were transformed into degrees of similarity using fuzzy set conjoint analysis. Results found that interest, effort and team work was the strongest values obtained from GaRA modules in this camp as participants indicated their strong agreement that these criteria fulfilled their preferences in most module. Participants also stated that almost all attributes fulfilled their preference in each module regardless their individual academic achievement. Thus the method demonstrated that modules delivered through PBL approach has effectively motivated students through six attributes introduced. The evaluation using FCA implicated the successfulness of a fuzzy approach to evaluate fuzziness obtained in the Likert-scale and has shown its ability in ranking the attributes from most preferred to least preferred.

  6. Self-concept and academic achievement: a meta-analysis of longitudinal relations.

    Science.gov (United States)

    Huang, Chiungjung

    2011-10-01

    The relation between self-concept and academic achievement was examined in 39 independent and longitudinal samples through the integration of meta-analysis and path analysis procedures. For relations with more than 3 independent samples, the mean observed correlations ranged from .20 to .27 between prior self-concept and subsequent academic achievement and from .19 to .25 between prior academic achievement and subsequent self-concept. Globality/specificity of self-concept was the only significant moderating factor in the relation between (a) prior self-concept and subsequent academic achievement and (b) prior academic achievement and subsequent self-concept. As high self-concept is related to high academic performance and vice-versa, intervention programs that combine self-enhancement and skill development should be integrated. Copyright © 2011 Society for the Study of School Psychology. Published by Elsevier Ltd. All rights reserved.

  7. Functional analysis and treatment of diurnal bruxism.

    Science.gov (United States)

    Lang, Russell; Davenport, Katy; Britt, Courtney; Ninci, Jennifer; Garner, Jennifer; Moore, Melissa

    2013-01-01

    An analogue functional analysis identified attention as a function for a 5-year-old boy's bruxism (teeth grinding). Functional communication training resulted in a reduction of bruxism and an increase in alternative mands for attention. Results were maintained 3 weeks following the intervention. © Society for the Experimental Analysis of Behavior.

  8. Contributions of executive function and spatial skills to preschool mathematics achievement.

    Science.gov (United States)

    Verdine, Brian N; Irwin, Casey M; Golinkoff, Roberta Michnick; Hirsh-Pasek, Kathryn

    2014-10-01

    Early mathematics achievement is highly predictive of later mathematics performance. Here we investigated the influence of executive function (EF) and spatial skills, two generalizable skills often overlooked in mathematics curricula, on mathematics performance in preschoolers. Children (N=44) of varying socioeconomic status (SES) levels were assessed at 3 years of age on a new assessment of spatial skill (Test of Spatial Assembly, TOSA) and a vocabulary measure (Peabody Picture Vocabulary Test, PPVT). The same children were tested at 4 years of age on the Beery Test of Visual-Motor Integration (VMI) as well as on measures of EF and mathematics. The TOSA was created specifically as an assessment for 3-year-olds, allowing the investigation of links among spatial, EF, and mathematical skills earlier than previously possible. Results of a hierarchical regression indicate that EF and spatial skills predict 70% of the variance in mathematics performance without an explicit math test, EF is an important predictor of math performance as prior research suggested, and spatial skills uniquely predict 27% of the variance in mathematics skills. Additional research is needed to understand whether EF is truly malleable and whether EF and spatial skills may be leveraged to support early mathematics skills, especially for lower SES children who are already falling behind in these skill areas by 3 and 4 years of age. These findings indicate that both skills are part of an important foundation for mathematics performance and may represent pathways for improving school readiness for mathematics. Copyright © 2014 Elsevier Inc. All rights reserved.

  9. Executive functions, visual-motor coordination, physical fitness and academic achievement: Longitudinal relations in typically developing children.

    Science.gov (United States)

    Oberer, Nicole; Gashaj, Venera; Roebers, Claudia M

    2018-04-01

    The present longitudinal study included different school readiness factors measured in kindergarten with the aim to predict later academic achievement in second grade. Based on data of N = 134 children, the predictive power of executive functions, visual-motor coordination and physical fitness on later academic achievement was estimated using a latent variable approach. By entering all three predictors simultaneously into the model to predict later academic achievement, significant effects of executive functions and visual-motor coordination on later academic achievement were found. The influence of physical fitness was found to be substantial but indirect via executive functions. The cognitive stimulation hypothesis as well as the automaticity hypothesis are discussed as an explanation for the reported relations. Copyright © 2018 The Authors. Published by Elsevier B.V. All rights reserved.

  10. Functional Techniques for Data Analysis

    Science.gov (United States)

    Tomlinson, John R.

    1997-01-01

    This dissertation develops a new general method of solving Prony's problem. Two special cases of this new method have been developed previously. They are the Matrix Pencil and the Osculatory Interpolation. The dissertation shows that they are instances of a more general solution type which allows a wide ranging class of linear functional to be used in the solution of the problem. This class provides a continuum of functionals which provide new methods that can be used to solve Prony's problem.

  11. Functional analysis of controbloc incidents

    International Nuclear Information System (INIS)

    Gouffon, A.; Jorel, M.

    1992-11-01

    The subject of the present paper is the survey jointly carried out in 1989 by the IPSN Safety Analysis Department and the Firm BERTIN and Co. on significant incidents related to the Controbloc system equipping the EDF 1300 MWe PWR power plants in France. This survey consisted in a general review of Controbloc operating problems, together with analysis of the safety consequences of the incidents discussed. The survey enabled improvements to be recommended in this respect and provided a basis for safety analysis

  12. Self-Concept and Academic Achievement: A Meta-Analysis of Longitudinal Relations

    Science.gov (United States)

    Huang, Chiungjung

    2011-01-01

    The relation between self-concept and academic achievement was examined in 39 independent and longitudinal samples through the integration of meta-analysis and path analysis procedures. For relations with more than 3 independent samples, the mean observed correlations ranged from 0.20 to 0.27 between prior self-concept and subsequent academic…

  13. A Path Analysis of Basic Need Support, Self-Efficacy, Achievement Goals, Life Satisfaction and Academic Achievement Level among Secondary School Students

    Science.gov (United States)

    Diseth, Age; Danielsen, Anne G.; Samdal, Oddrun

    2012-01-01

    Teachers' support of basic psychological needs, self-efficacy, achievement goals, life satisfaction and academic achievement level was measured in a sample of 240 secondary school students (8th and 10th grades). Correlation analysis showed significant positive relations between all of the variables, except for the relation between need support of…

  14. Assessment of right atrial function analysis

    International Nuclear Information System (INIS)

    Shohgase, Takashi; Miyamoto, Atsushi; Kanamori, Katsushi; Kobayashi, Takeshi; Yasuda, Hisakazu

    1988-01-01

    To assess the potential utility of right atrial function analysis in cardiac disease, reservoir function, pump function, and right atrial peak emptying rate (RAPER) were compared in 10 normal subjects, 32 patients with coronary artery disease, and 4 patients with primary pulmonary hypertension. Right atrial volume curves were obtained using cardiac radionuclide method with Kr-81m. In normal subjects, reservoir function index was 0.41+-0.05; pump function index was 0.25+-0.05. Both types of patients has decreased reservoir funcion and increased pump function. Pump function tended to decrease with an increase of right ventricular end-diastolic pressure. RAPER correlated well with right ventricular peak filling rate, probably reflecting right ventricular diastolic function. Analysis of right atrial function seemed to be of value in evaluating factors regulating right ventricular contraction and diastolic function, and cardiac output. (Namekawa, K)

  15. Basic methods of linear functional analysis

    CERN Document Server

    Pryce, John D

    2011-01-01

    Introduction to the themes of mathematical analysis, geared toward advanced undergraduate and graduate students. Topics include operators, function spaces, Hilbert spaces, and elementary Fourier analysis. Numerous exercises and worked examples.1973 edition.

  16. Examining Achievement Goals and Causal Attributions Together as Predictors of Academic Functioning

    Science.gov (United States)

    Wolters, Christopher A.; Fan, Weihua; Daugherty, Stacy G.

    2013-01-01

    This study was designed to forge stronger theoretical and empirical links between achievement goal theory and attribution theory. High school students ("N" = 224) completed a self-report survey that assessed 3 types of achievement goals, 7 types of attributions, and self-efficacy. Results indicated that students' adoption of achievement…

  17. Functional Analysis of Kori Unit 1

    International Nuclear Information System (INIS)

    Choi, Seong Soo; Han, Jeong Hyun; Heo, Tae Young

    2009-07-01

    Function Analysis of Kori Unit 1 has been performed as a part of independent human factors review tasks for control room renovation of the plant. The top level goal defined for the scope of function analysis is 'Generate Electricity'. Through this function analysis of Kori Unit 1, the detailed sub-functions extracted from the existing design documents and procedures, functional relationships among the high level functions, functional classification of each hierarchical level, and tree diagrams of the hierarchical function structures of the plant were developed and identified as the result of the project. In addition, we investigated and compiled the specifications of MMIS devices used in Ulchin Nuclear Power Plant Unit 5,6 in accordance with the request from KAERI. The results of those researches will be used as basis data for independent review of the control room MMIS design of the Kori Unit 1

  18. Functional analysis, spectral theory, and applications

    CERN Document Server

    Einsiedler, Manfred

    2017-01-01

    This textbook provides a careful treatment of functional analysis and some of its applications in analysis, number theory, and ergodic theory. In addition to discussing core material in functional analysis, the authors cover more recent and advanced topics, including Weyl’s law for eigenfunctions of the Laplace operator, amenability and property (T), the measurable functional calculus, spectral theory for unbounded operators, and an account of Tao’s approach to the prime number theorem using Banach algebras. The book further contains numerous examples and exercises, making it suitable for both lecture courses and self-study. Functional Analysis, Spectral Theory, and Applications is aimed at postgraduate and advanced undergraduate students with some background in analysis and algebra, but will also appeal to everyone with an interest in seeing how functional analysis can be applied to other parts of mathematics.

  19. Logistic Regression and Path Analysis Method to Analyze Factors influencing Students’ Achievement

    Science.gov (United States)

    Noeryanti, N.; Suryowati, K.; Setyawan, Y.; Aulia, R. R.

    2018-04-01

    Students' academic achievement cannot be separated from the influence of two factors namely internal and external factors. The first factors of the student (internal factors) consist of intelligence (X1), health (X2), interest (X3), and motivation of students (X4). The external factors consist of family environment (X5), school environment (X6), and society environment (X7). The objects of this research are eighth grade students of the school year 2016/2017 at SMPN 1 Jiwan Madiun sampled by using simple random sampling. Primary data are obtained by distributing questionnaires. The method used in this study is binary logistic regression analysis that aims to identify internal and external factors that affect student’s achievement and how the trends of them. Path Analysis was used to determine the factors that influence directly, indirectly or totally on student’s achievement. Based on the results of binary logistic regression, variables that affect student’s achievement are interest and motivation. And based on the results obtained by path analysis, factors that have a direct impact on student’s achievement are students’ interest (59%) and students’ motivation (27%). While the factors that have indirect influences on students’ achievement, are family environment (97%) and school environment (37).

  20. A meta-analysis of self-reported achievement goals and nonself-report performance across three achievement domains (work, sports, and education.

    Directory of Open Access Journals (Sweden)

    Nico W Van Yperen

    Full Text Available During the past three decades, the achievement goal approach to achievement motivation has emerged as an influential area of research, and is dedicated to understanding the reasons behind the individual's drive to achieve competence and performance. However, the current literature on achievement goals is segmented rather than integrated. That is, citations across the three major and distinct achievement domains (work, education, and sports are more the exception than the rule and similarities and differences between findings for the different achievement domains have yet to be tested. The purpose of the present study was to examine the relationships between self-reported achievement goals and nonself-report performance through meta-analysis, and the moderating potential of achievement domain. Identifying achievement domain as moderator improves our understanding to which contexts we can (not generalize conclusions to, it helps to understand seemingly inconsistent findings, and opens avenues for future research on the underlying processes. Because the achievement goal (AG measure used in a study is partially confounded with achievement domain, we examined the moderating role of this variable as well. Our findings suggest that - overall - approach goals (either mastery or performance were associated positively with performance attainment, whereas avoidance goals (either mastery or performance were associated negatively with performance attainment. These relationships were moderated by achievement domain. For example, relative to the education or work domain, in the sports domain, we did not observe negative correlations between avoidance goals and performance. The absence of statistical moderation due to AG measure suggests that the observed moderation of achievement domain cannot be explained by the AG measure utilized. We suggest further steps to integrate the achievement goal literature, and accordingly, to broaden and deepen understanding of

  1. A meta-analysis of self-reported achievement goals and nonself-report performance across three achievement domains (work, sports, and education).

    Science.gov (United States)

    Van Yperen, Nico W; Blaga, Monica; Postmes, Tom

    2014-01-01

    During the past three decades, the achievement goal approach to achievement motivation has emerged as an influential area of research, and is dedicated to understanding the reasons behind the individual's drive to achieve competence and performance. However, the current literature on achievement goals is segmented rather than integrated. That is, citations across the three major and distinct achievement domains (work, education, and sports) are more the exception than the rule and similarities and differences between findings for the different achievement domains have yet to be tested. The purpose of the present study was to examine the relationships between self-reported achievement goals and nonself-report performance through meta-analysis, and the moderating potential of achievement domain. Identifying achievement domain as moderator improves our understanding to which contexts we can (not) generalize conclusions to, it helps to understand seemingly inconsistent findings, and opens avenues for future research on the underlying processes. Because the achievement goal (AG) measure used in a study is partially confounded with achievement domain, we examined the moderating role of this variable as well. Our findings suggest that - overall - approach goals (either mastery or performance) were associated positively with performance attainment, whereas avoidance goals (either mastery or performance) were associated negatively with performance attainment. These relationships were moderated by achievement domain. For example, relative to the education or work domain, in the sports domain, we did not observe negative correlations between avoidance goals and performance. The absence of statistical moderation due to AG measure suggests that the observed moderation of achievement domain cannot be explained by the AG measure utilized. We suggest further steps to integrate the achievement goal literature, and accordingly, to broaden and deepen understanding of performance

  2. Differential analysis of matrix convex functions II

    DEFF Research Database (Denmark)

    Hansen, Frank; Tomiyama, Jun

    2009-01-01

    We continue the analysis in [F. Hansen, and J. Tomiyama, Differential analysis of matrix convex functions. Linear Algebra Appl., 420:102--116, 2007] of matrix convex functions of a fixed order defined in a real interval by differential methods as opposed to the characterization in terms of divided...

  3. Basic Functional Analysis Puzzles of Spectral Flow

    DEFF Research Database (Denmark)

    Booss-Bavnbek, Bernhelm

    2011-01-01

    We explain an array of basic functional analysis puzzles on the way to general spectral flow formulae and indicate a direction of future topological research for dealing with these puzzles.......We explain an array of basic functional analysis puzzles on the way to general spectral flow formulae and indicate a direction of future topological research for dealing with these puzzles....

  4. Functional Analysis and Reduction of Inappropriate Spitting

    Science.gov (United States)

    Carter, Stacy L.; Wheeler, John J.

    2007-01-01

    Functional analysis was used to determine the possible function of inappropriate spitting behavior of an adult woman who had been diagnosed with profound mental retardation. Results of an initial descriptive assessment indicated a possible attention function and led to an attention-based intervention, which was deemed ineffective at reducing the…

  5. Functional analysis in MR urography - made simple

    Energy Technology Data Exchange (ETDEWEB)

    Khrichenko, Dmitry; Darge, Kassa [Children' s Hospital of Philadelphia, Department of Radiology, Philadelphia, PA (United States)

    2010-02-15

    MR urography (MRU) has proved to be a most advantageous imaging modality of the urinary tract in children, providing one-stop comprehensive morphological and functional information, without the utilization of ionizing radiation. The functional analysis of the MRU scan still requires external post-processing using relatively complex software. This has proved to be a limiting factor in widespread routine implementation of MRU functional analysis and use of MRU functional parameters similar to nuclear medicine. We present software, developed in a pediatric radiology department, that not only enables comprehensive automated functional analysis, but is also very user-friendly, fast, easily operated by the average radiologist or MR technician and freely downloadable Virtual Machine is required for the installation, which is obtained at no charge. The analysis software, known as ''CHOP-fMRU,'' has the potential to help overcome the obstacles to widespread use of functional MRU in children. (orig.)

  6. Linear functional analysis for scientists and engineers

    CERN Document Server

    Limaye, Balmohan V

    2016-01-01

    This book provides a concise and meticulous introduction to functional analysis. Since the topic draws heavily on the interplay between the algebraic structure of a linear space and the distance structure of a metric space, functional analysis is increasingly gaining the attention of not only mathematicians but also scientists and engineers. The purpose of the text is to present the basic aspects of functional analysis to this varied audience, keeping in mind the considerations of applicability. A novelty of this book is the inclusion of a result by Zabreiko, which states that every countably subadditive seminorm on a Banach space is continuous. Several major theorems in functional analysis are easy consequences of this result. The entire book can be used as a textbook for an introductory course in functional analysis without having to make any specific selection from the topics presented here. Basic notions in the setting of a metric space are defined in terms of sequences. These include total boundedness, c...

  7. Do Children's Executive Functions Account for Associations Between Early Autonomy-Supportive Parenting and Achievement Through High School?

    Science.gov (United States)

    Bindman, Samantha W; Pomerantz, Eva M; Roisman, Glenn I

    2015-08-01

    This study evaluated whether the positive association between early autonomy-supportive parenting and children's subsequent achievement is mediated by children's executive functions. Using observations of mothers' parenting from the NICHD Study of Early Child Care and Youth Development ( N = 1,306), analyses revealed that mothers' autonomy support over the first 3 years of life predicted enhanced executive functions (i.e., inhibition, delay of gratification, and sustained attention) during the year prior to kindergarten and academic achievement in elementary and high school even when mothers' warmth and cognitive stimulation, as well as other factors (e.g., children's early general cognitive skills and mothers' educational attainment) were covaried. Mediation analyses demonstrated that over and above other attributes (e.g., temperament), children's executive functions partially accounted for the association between early autonomy-supportive parenting and children's subsequent achievement.

  8. Lessons learned in applying function analysis

    International Nuclear Information System (INIS)

    Mitchel, G.R.; Davey, E.; Basso, R.

    2001-01-01

    This paper summarizes the lessons learned in undertaking and applying function analysis based on the recent experience of utility, AECL and international design and assessment projects. Function analysis is an analytical technique that can be used to characterize and asses the functions of a system and is widely recognized as an essential component of a 'systematic' approach to design, on that integrated operational and user requirements into the standard design process. (author)

  9. Transfer function analysis of radiographic imaging systems

    International Nuclear Information System (INIS)

    Metz, C.E.; Doi, K.

    1979-01-01

    The theoretical and experimental aspects of the techniques of transfer function analysis used in radiographic imaging systems are reviewed. The mathematical principles of transfer function analysis are developed for linear, shift-invariant imaging systems, for the relation between object and image and for the image due to a sinusoidal plane wave object. The other basic mathematical principle discussed is 'Fourier analysis' and its application to an input function. Other aspects of transfer function analysis included are alternative expressions for the 'optical transfer function' of imaging systems and expressions are derived for both serial and parallel transfer image sub-systems. The applications of transfer function analysis to radiographic imaging systems are discussed in relation to the linearisation of the radiographic imaging system, the object, the geometrical unsharpness, the screen-film system unsharpness, other unsharpness effects and finally noise analysis. It is concluded that extensive theoretical, computer simulation and experimental studies have demonstrated that the techniques of transfer function analysis provide an accurate and reliable means for predicting and understanding the effects of various radiographic imaging system components in most practical diagnostic medical imaging situations. (U.K.)

  10. The Effects of the Constructivist Learning Approach on Student's Academic Achievement: A Meta-Analysis Study

    Science.gov (United States)

    Ayaz, Mehmet Fatih; Sekerci, Hanifi

    2015-01-01

    In this research, a meta-analysis study was conducted in order to determine the effects of constructivist learning approach on students' academic achievement. Master's thesis, doctoral dissertation and articles in national and international databases, which are realized between the years of 2003-2014, appropriate to the problem and which can be…

  11. A Review of Psychometric Data Analysis and Applications in Modelling of Academic Achievement in Tertiary Education

    Science.gov (United States)

    Gray, Geraldine; McGuinness, Colm; Owende, Philip; Carthy, Aiden

    2014-01-01

    Increasing college participation rates, and diversity in student population, is posing a challenge to colleges in their attempts to facilitate learners achieve their full academic potential. Learning analytics is an evolving discipline with capability for educational data analysis that could enable better understanding of learning process, and…

  12. A Latent Profile Analysis of Math Achievement, Numerosity, and Math Anxiety in Twins

    Science.gov (United States)

    Hart, Sara A.; Logan, Jessica A. R.; Thompson, Lee; Kovas, Yulia; McLoughlin, Gráinne; Petrill, Stephen A.

    2016-01-01

    Underperformance in math is a problem with increasing prevalence, complex etiology, and severe repercussions. This study examined the etiological heterogeneity of math performance in a sample of 264 pairs of 12-year-old twins assessed on measures of math achievement, numerosity, and math anxiety. Latent profile analysis indicated 5 groupings of…

  13. Friendship Quality and School Achievement: A Longitudinal Analysis during Primary School

    Science.gov (United States)

    Zucchetti, Giulia; Candela, Filippo; Sacconi, Beatrice; Rabaglietti, Emanuela

    2015-01-01

    This study examined the longitudinal relationship between friendship quality (positive and negative) and school achievement among 228 school-age children (51% girls, M = 8.09, SD = 0.41). A three-wave cross-lagged analysis was used to determine the direction of influence between these domains across school years. Findings revealed that: (a) school…

  14. A Multilevel Analysis of Japanese Middle School Student and School Socioeconomic Status Influence on Mathematics Achievement

    Science.gov (United States)

    Takashiro, Naomi

    2017-01-01

    The author examined the simultaneous influence of Japanese middle school student and school socioeconomic status (SES) on student math achievement with two-level multilevel analysis models by utilizing the Trends in International Mathematics and Science Study (TIMSS) Japan data sets. The theoretical framework used in this study was…

  15. Streaming, Tracking and Reading Achievement: A Multilevel Analysis of Students in 40 Countries

    Science.gov (United States)

    Chiu, Ming Ming; Chow, Bonnie Wing-Yin; Joh, Sung Wook

    2017-01-01

    Grouping similar students together within schools ("streaming") or classrooms ("tracking") based on past literacy skills (reported by parents), family socioeconomic status (SES) or reading attitudes might affect their reading achievement. Our multilevel analysis of the reading tests of 208,057 fourth-grade students across 40…

  16. Discovery learning with hierarchy concept to improve analysis ability and study achievement hydrolysis subject

    Directory of Open Access Journals (Sweden)

    Leny Yuliatun

    2017-10-01

    Full Text Available The aim of this research is to applied Discovery Learning (DL by the support of hierarchy concept to improve analysis ability and chemistry study achievement in the Hydrolysis subject at eleventh-grade students of Science 1 of SMA N Karangpandan at the academic year of 2016/2017. This research is using Classroom Action Research which using two cycles. In each cycle has four steps of action, they are planning, implementing, observing, and reflecting. The research subject is the eleventh-grade students of science one which consists of 40 students. The data source is using teacher and students and the data were taken by interviewing, observing, documenting, testing, and using questionnaire. Data analysis technique is using descriptive qualitative analysis. Based on the research shows that the achievement of analysis cycle I am from 52,5% increase into 65% in the cycle II. Meanwhile, the rise in students’ achievement in cognitive aspect increase from 57,5% in cycle I to 75% in cycle II. Achievement in an affective aspect in cycle I am 90% become 92,5% in cycle II. Therefore, there is the increase meant of students number in this aspect although in cycle I all of the indicator has been reached.

  17. The Effect of Learning Cycle Models on Achievement of Students: A Meta-Analysis Study

    Science.gov (United States)

    Sarac, Hakan

    2018-01-01

    In the study, a meta-analysis was conducted to determine the effect of the use of the learning cycle model on the achievements of the students. Doctorate and master theses, made between 2007 and 2016, were searched using the keywords in Turkish and English. As a result of the screening, a total of 123 dissertations, which used learning cycle…

  18. The need for accurate deuterium analysis in a heavy water plant and its achievement

    International Nuclear Information System (INIS)

    Singh, R.R.; Pradhan, D.G.

    1979-01-01

    Importance of Mass Spectrometer as an analytical tool for deuterium analysis in heavy water plants is discussed. Some of the important requirements such as memory effect and H 3 + correction are described with reference to the Mass Spectrometer used at HWP (Talcher). For achieving the accuracy required, use of international deuterium standards and error estimation found by intercalibration are discussed. (auth.)

  19. The Effect of Educational Leadership on Students' Achievement: A Meta-Analysis Study

    Science.gov (United States)

    Karadag, Engin; Bektas, Fatih; Çogaltay, Nazim; Yalçin, Mikail

    2015-01-01

    In this meta-analysis study, different leadership styles were combined, and the relationship between educational leadership and student achievement was analyzed. In the literature review, 57 research articles/dissertations, independent from one another, were brought together, and 28,964 study subjects were included in the sample group. The results…

  20. Functional Requirements: 2014 No Child Left Behind--Annual Measurable Achievement Objectives

    Science.gov (United States)

    Minnesota Department of Education, 2014

    2014-01-01

    This document describes the Minnesota No Child Left Behind (NCLB) calculation as it relates to measuring Title III districts for Annual Measurable Achievement Objectives (AMAO). In 2012, a new assessment was used to measure language proficiency skills for English Learners. New AMAO targets were created, and new values for determining individual…

  1. The Relationship of Cognitive and Executive Functioning with Achievement in Gifted Kindergarten Children

    Science.gov (United States)

    Hernández Finch, Maria E.; Speirs Neumeister, Kristie L.; Burney, Virginia H.; Cook, Audra L.

    2014-01-01

    This study provides baseline data to assist researchers in conducting future studies exploring the developmental trajectories of young gifted learners on measures of cognitive ability and achievement. The study includes common neuropsychological tests associated with preliteracy and the early-reading process as well as markers for inattention and…

  2. Do Children's Executive Functions Account for Associations between Early Autonomy-Supportive Parenting and Achievement through High School?

    Science.gov (United States)

    Bindman, Samantha W.; Pomerantz, Eva M.; Roisman, Glenn I.

    2015-01-01

    This study evaluated whether the positive association between early autonomy-supportive parenting and children's subsequent achievement is mediated by children's executive functions. Using observations of mothers' parenting from the National Institute of Child Health and Human Development (NICHD) Study of Early Child Care and Youth Development (N…

  3. Seventh Graders' Academic Achievement, Creativity, and Ability to Construct a Cross-Domain Concept Map--A Brain Function Perspective

    Science.gov (United States)

    Yeh, Yu-Chu

    2004-01-01

    This study proposes an interactive model of "cross-domain" concept mapping with an emphasis on brain functions, and it further investigates the relationships between academic achievement, creative thinking, and cross-domain concept mapping. Sixty-nine seventh graders participated in this study which employed two 50-minute instructional…

  4. The Impact of Family Functioning on African American Males' Academic Achievement: A Review and Clarification of the Empirical Literature

    Science.gov (United States)

    Mandara, Jelani

    2006-01-01

    This article reviews and clarifies many inconsistencies and misconceptions in the research literature on the effects of family functioning on African American male academic achievement. It was concluded that when parents use an African American version of authoritative parenting, teach children about their cultural heritage and personal power to…

  5. FGWAS: Functional genome wide association analysis.

    Science.gov (United States)

    Huang, Chao; Thompson, Paul; Wang, Yalin; Yu, Yang; Zhang, Jingwen; Kong, Dehan; Colen, Rivka R; Knickmeyer, Rebecca C; Zhu, Hongtu

    2017-10-01

    Functional phenotypes (e.g., subcortical surface representation), which commonly arise in imaging genetic studies, have been used to detect putative genes for complexly inherited neuropsychiatric and neurodegenerative disorders. However, existing statistical methods largely ignore the functional features (e.g., functional smoothness and correlation). The aim of this paper is to develop a functional genome-wide association analysis (FGWAS) framework to efficiently carry out whole-genome analyses of functional phenotypes. FGWAS consists of three components: a multivariate varying coefficient model, a global sure independence screening procedure, and a test procedure. Compared with the standard multivariate regression model, the multivariate varying coefficient model explicitly models the functional features of functional phenotypes through the integration of smooth coefficient functions and functional principal component analysis. Statistically, compared with existing methods for genome-wide association studies (GWAS), FGWAS can substantially boost the detection power for discovering important genetic variants influencing brain structure and function. Simulation studies show that FGWAS outperforms existing GWAS methods for searching sparse signals in an extremely large search space, while controlling for the family-wise error rate. We have successfully applied FGWAS to large-scale analysis of data from the Alzheimer's Disease Neuroimaging Initiative for 708 subjects, 30,000 vertices on the left and right hippocampal surfaces, and 501,584 SNPs. Copyright © 2017 Elsevier Inc. All rights reserved.

  6. Damage analysis: damage function development and application

    International Nuclear Information System (INIS)

    Simons, R.L.; Odette, G.R.

    1975-01-01

    The derivation and application of damage functions, including recent developments for the U.S. LMFBR and CTR programs, is reviewed. A primary application of damage functions is in predicting component life expectancies; i.e., the fluence required in a service spectrum to attain a specified design property change. An important part of the analysis is the estimation of the uncertainty in such fluence limit predictions. The status of standardizing the procedures for the derivation and application of damage functions is discussed. Improvements in several areas of damage function development are needed before standardization can be completed. These include increasing the quantity and quality of the data used in the analysis, determining the limitations of the analysis due to the presence of multiple damage mechanisms, and finally, testing of damage function predictions against data obtained from material surveillance programs in operating thermal and fast reactors. 23 references. (auth)

  7. The Necessity of Functional Analysis for Space Exploration Programs

    Science.gov (United States)

    Morris, A. Terry; Breidenthal, Julian C.

    2011-01-01

    As NASA moves toward expanded commercial spaceflight within its human exploration capability, there is increased emphasis on how to allocate responsibilities between government and commercial organizations to achieve coordinated program objectives. The practice of program-level functional analysis offers an opportunity for improved understanding of collaborative functions among heterogeneous partners. Functional analysis is contrasted with the physical analysis more commonly done at the program level, and is shown to provide theoretical performance, risk, and safety advantages beneficial to a government-commercial partnership. Performance advantages include faster convergence to acceptable system solutions; discovery of superior solutions with higher commonality, greater simplicity and greater parallelism by substituting functional for physical redundancy to achieve robustness and safety goals; and greater organizational cohesion around program objectives. Risk advantages include avoidance of rework by revelation of some kinds of architectural and contractual mismatches before systems are specified, designed, constructed, or integrated; avoidance of cost and schedule growth by more complete and precise specifications of cost and schedule estimates; and higher likelihood of successful integration on the first try. Safety advantages include effective delineation of must-work and must-not-work functions for integrated hazard analysis, the ability to formally demonstrate completeness of safety analyses, and provably correct logic for certification of flight readiness. The key mechanism for realizing these benefits is the development of an inter-functional architecture at the program level, which reveals relationships between top-level system requirements that would otherwise be invisible using only a physical architecture. This paper describes the advantages and pitfalls of functional analysis as a means of coordinating the actions of large heterogeneous organizations

  8. Uncertainty importance analysis using parametric moment ratio functions.

    Science.gov (United States)

    Wei, Pengfei; Lu, Zhenzhou; Song, Jingwen

    2014-02-01

    This article presents a new importance analysis framework, called parametric moment ratio function, for measuring the reduction of model output uncertainty when the distribution parameters of inputs are changed, and the emphasis is put on the mean and variance ratio functions with respect to the variances of model inputs. The proposed concepts efficiently guide the analyst to achieve a targeted reduction on the model output mean and variance by operating on the variances of model inputs. The unbiased and progressive unbiased Monte Carlo estimators are also derived for the parametric mean and variance ratio functions, respectively. Only a set of samples is needed for implementing the proposed importance analysis by the proposed estimators, thus the computational cost is free of input dimensionality. An analytical test example with highly nonlinear behavior is introduced for illustrating the engineering significance of the proposed importance analysis technique and verifying the efficiency and convergence of the derived Monte Carlo estimators. Finally, the moment ratio function is applied to a planar 10-bar structure for achieving a targeted 50% reduction of the model output variance. © 2013 Society for Risk Analysis.

  9. Functional Requirement Analysis and Function Allocation for APR 1400

    International Nuclear Information System (INIS)

    Nuraslinda, Anuar; Florah, Kamanja; Noloyiso, Mtoko and others

    2013-01-01

    This paper intends to fulfill the FRA and FA of the HFE as required in Chapter 4 of NUREG-0711 rev. 3 for APR1400 to satisfy both plant safety and power generation objectives. This paper aims to evaluate the FRA and FA for APR1400. The allocation of function is done at the system level for all processes for both the power generation and safety goals, following the NUREG/CR-3331 guideline. As a conclusion, this paper has successfully implemented the requirements and methodology specified in NUREG-0711 for APR 1400. The Functional Requirement Analysis (FRA) and Function Allocation (FA) are required by the regulation in the Human Factors Engineering (HFE) program. The FRA defines the functions, processes, and system for plant safety and power generation. The FA allocates the functions to human operator, automation, or a combination of two. The FRA and FA for APR1400 have been performed in the very early stage of development but only for the plant safety. However, the analysis did not include the goal of power generation and also did not fully satisfy the latest revision of NUREG-0711

  10. Measuring coalition functioning: refining constructs through factor analysis.

    Science.gov (United States)

    Brown, Louis D; Feinberg, Mark E; Greenberg, Mark T

    2012-08-01

    Internal and external coalition functioning is an important predictor of coalition success that has been linked to perceived coalition effectiveness, coalition goal achievement, coalition ability to support evidence-based programs, and coalition sustainability. Understanding which aspects of coalition functioning best predict coalition success requires the development of valid measures of empirically unique coalition functioning constructs. The goal of the present study is to examine and refine the psychometric properties of coalition functioning constructs in the following six domains: leadership, interpersonal relationships, task focus, participation benefits/costs, sustainability planning, and community support. The authors used factor analysis to identify problematic items in our original measure and then piloted new items and scales to create a more robust, psychometrically sound, multidimensional measure of coalition functioning. Scales displayed good construct validity through correlations with other measures. Discussion considers the strengths and weaknesses of the refined instrument.

  11. Functional analysis of the exploratory studies facility

    International Nuclear Information System (INIS)

    Duffy, M.A.; Mozhi, T.A.; Kumar, P.N.; Senderling, M.S.; Lemeshewsky, W.A.

    1993-01-01

    The 'Physical System Requirements - Exploratory Studies Facility' (PSR-ESF) was developed as part of an improved management structure and procedure initiative by the OCRWM for managing the disposal of spent nuclear fuel and high-level radioactive wastes. This paper discusses the development of the PSR-EF document. Based on a functional analysis approach, this document includes results in the form of boundary diagrams, function hierarchy trees, function description tables containing a compilation of requirements, architecture tree and tables, and functional flow diagrams. The approach used ensures the flowdown and traceability of relevant requirements for the ESF design process

  12. Spectral theory and nonlinear functional analysis

    CERN Document Server

    Lopez-Gomez, Julian

    2001-01-01

    This Research Note addresses several pivotal problems in spectral theory and nonlinear functional analysis in connection with the analysis of the structure of the set of zeroes of a general class of nonlinear operators. It features the construction of an optimal algebraic/analytic invariant for calculating the Leray-Schauder degree, new methods for solving nonlinear equations in Banach spaces, and general properties of components of solutions sets presented with minimal use of topological tools. The author also gives several applications of the abstract theory to reaction diffusion equations and systems.The results presented cover a thirty-year period and include recent, unpublished findings of the author and his coworkers. Appealing to a broad audience, Spectral Theory and Nonlinear Functional Analysis contains many important contributions to linear algebra, linear and nonlinear functional analysis, and topology and opens the door for further advances.

  13. Executive Function and Mathematics Achievement: Are Effects Construct- and Time-General or Specific?

    Science.gov (United States)

    Duncan, Robert; Nguyen, Tutrang; Miao, Alicia; McClelland, Megan; Bailey, Drew

    2016-01-01

    Executive function (EF) is considered a set of interrelated cognitive processes, including inhibitory control, working memory, and attentional shifting, that are connected to the development of the prefrontal cortex and contribute to children's problem solving skills and self regulatory behavior (Best & Miller, 2010; Garon, Bryson, &…

  14. Executive Functioning Predicts Academic Achievement in Middle School: A Four-Year Longitudinal Study

    Science.gov (United States)

    Samuels, William Ellery; Tournaki, Nelly; Blackman, Sheldon; Zilinski, Christopher

    2016-01-01

    Executive functioning (EF) is a strong predictor of children's and adolescents' academic performance. Although research indicates that EF can increase during childhood and adolescence, few studies have tracked the effect of EF on academic performance throughout the middle school grades. EF was measured at the end of Grades 6-9 through 21 teachers'…

  15. Differences in Academic Achievement among Texas High School Students as a Function of Music Enrollment

    Science.gov (United States)

    Horton, Robert Wayne

    2012-01-01

    Purpose: The purpose of this study was to examine the score differences on the Texas Academic Knowledge and Skills (TAKS) Reading and Mathematics measures among students in Grades 10 and 11 as a function of music enrollment. Specifically, gender, ethnicity, socioeconomic status, and enrollment in choir, band, or orchestra or no music enrollment…

  16. Nutritional and socio-economic determinants of cognitive function and educational achievement of Aboriginal schoolchildren in rural Malaysia.

    Science.gov (United States)

    Al-Mekhlafi, Hesham M; Mahdy, Mohammed A; Sallam, Atiya A; Ariffin, W A; Al-Mekhlafi, Abdulsalam M; Amran, Adel A; Surin, Johari

    2011-10-01

    A community-based cross-sectional study was carried out among Aboriginal schoolchildren aged 7-12 years living in remote areas in Pos Betau, Pahang, Malaysia to investigate the potential determinants influencing the cognitive function and educational achievement of these children. Cognitive function was measured by intelligence quotient (IQ), while examination scores of selected school subjects were used in assessing educational achievement. Blood samples were collected to assess serum Fe status. All children were screened for soil-transmitted helminthes. Demographic and socio-economic data were collected using pre-tested questionnaires. Almost two-thirds (67·6 %) of the subjects had poor IQ and most of them (72·6 %) had insufficient educational achievement. Output of the stepwise multiple regression model showed that poor IQ was significantly associated with low household income which contributed the most to the regression variance (r2 0·059; P = 0·020). Low maternal education was also identified as a significant predictor of low IQ scores (r2 0·042; P = 0·043). With educational achievement, Fe-deficiency anaemia (IDA) was the only variable to show significant association (r2 0·025; P = 0·015). In conclusion, the cognitive function and educational achievement of Aboriginal schoolchildren are poor and influenced by household income, maternal education and IDA. Thus, effective and integrated measures to improve the nutritional and socio-economic status of rural children would have a pronounced positive effect on their education.

  17. Qualitative content analysis in nursing research: concepts, procedures and measures to achieve trustworthiness.

    Science.gov (United States)

    Graneheim, U H; Lundman, B

    2004-02-01

    Qualitative content analysis as described in published literature shows conflicting opinions and unsolved issues regarding meaning and use of concepts, procedures and interpretation. This paper provides an overview of important concepts (manifest and latent content, unit of analysis, meaning unit, condensation, abstraction, content area, code, category and theme) related to qualitative content analysis; illustrates the use of concepts related to the research procedure; and proposes measures to achieve trustworthiness (credibility, dependability and transferability) throughout the steps of the research procedure. Interpretation in qualitative content analysis is discussed in light of Watzlawick et al.'s [Pragmatics of Human Communication. A Study of Interactional Patterns, Pathologies and Paradoxes. W.W. Norton & Company, New York, London] theory of communication.

  18. SURFACE TEXTURE ANALYSIS FOR FUNCTIONALITY CONTROL

    DEFF Research Database (Denmark)

    De Chiffre, Leonardo; Andreasen, Jan Lasson; Tosello, Guido

    This document is used in connection with three exercises of 3 hours duration as a part of the course VISION ONLINE – One week course on Precision & Nanometrology. The exercises concern surface texture analysis for functionality control, in connection with three different case stories. This docume...... contains a short description of each case story, 3-D roughness parameters analysis and relation with the product’s functionality.......This document is used in connection with three exercises of 3 hours duration as a part of the course VISION ONLINE – One week course on Precision & Nanometrology. The exercises concern surface texture analysis for functionality control, in connection with three different case stories. This document...

  19. Functional data analysis of sleeping energy expenditure.

    Science.gov (United States)

    Lee, Jong Soo; Zakeri, Issa F; Butte, Nancy F

    2017-01-01

    Adequate sleep is crucial during childhood for metabolic health, and physical and cognitive development. Inadequate sleep can disrupt metabolic homeostasis and alter sleeping energy expenditure (SEE). Functional data analysis methods were applied to SEE data to elucidate the population structure of SEE and to discriminate SEE between obese and non-obese children. Minute-by-minute SEE in 109 children, ages 5-18, was measured in room respiration calorimeters. A smoothing spline method was applied to the calorimetric data to extract the true smoothing function for each subject. Functional principal component analysis was used to capture the important modes of variation of the functional data and to identify differences in SEE patterns. Combinations of functional principal component analysis and classifier algorithm were used to classify SEE. Smoothing effectively removed instrumentation noise inherent in the room calorimeter data, providing more accurate data for analysis of the dynamics of SEE. SEE exhibited declining but subtly undulating patterns throughout the night. Mean SEE was markedly higher in obese than non-obese children, as expected due to their greater body mass. SEE was higher among the obese than non-obese children (p0.1, after post hoc testing). Functional principal component scores for the first two components explained 77.8% of the variance in SEE and also differed between groups (p = 0.037). Logistic regression, support vector machine or random forest classification methods were able to distinguish weight-adjusted SEE between obese and non-obese participants with good classification rates (62-64%). Our results implicate other factors, yet to be uncovered, that affect the weight-adjusted SEE of obese and non-obese children. Functional data analysis revealed differences in the structure of SEE between obese and non-obese children that may contribute to disruption of metabolic homeostasis.

  20. The influence of deliberate practice on musical achievement: A meta-analysis

    Directory of Open Access Journals (Sweden)

    Friedrich ePlatz

    2014-06-01

    Full Text Available Deliberate practice (DP is a task-specific structured training activity that plays a key role in understanding skill acquisition and explaining individual differences in expert performance. Relevant activities that qualify as DP have to be identified in every domain. For example, for training in classical music, solitary practice is a typical training activity during skill acquisition. To date, no meta-analysis on the quantifiable effect size of deliberate practice on attained performance in music has been conducted. Yet the identification of a quantifiable effect size could be relevant for the current discussion on the role of various factors on individual difference in musical achievement. Furthermore, a research synthesis might enable new computational approaches to musical development. Here we present the first meta-analysis on the role of deliberate practice in the domain of musical performance. A final sample size of 13 studies (total N = 788 was carefully extracted to satisfy the following criteria: reported durations of task-specific accumulated practice as predictor variables and objectively assessed musical achievement as the target variable. We identified an aggregated effect size of rc = .61; 95% CI [.54, .67] for the relationship between task-relevant practice (which by definition includes DP and musical achievement. Our results corroborate the central role of long-term (deliberate practice for explaining expert performance in music.

  1. The influence of deliberate practice on musical achievement: a meta-analysis.

    Science.gov (United States)

    Platz, Friedrich; Kopiez, Reinhard; Lehmann, Andreas C; Wolf, Anna

    2014-01-01

    Deliberate practice (DP) is a task-specific structured training activity that plays a key role in understanding skill acquisition and explaining individual differences in expert performance. Relevant activities that qualify as DP have to be identified in every domain. For example, for training in classical music, solitary practice is a typical training activity during skill acquisition. To date, no meta-analysis on the quantifiable effect size of deliberate practice on attained performance in music has been conducted. Yet the identification of a quantifiable effect size could be relevant for the current discussion on the role of various factors on individual difference in musical achievement. Furthermore, a research synthesis might enable new computational approaches to musical development. Here we present the first meta-analysis on the role of deliberate practice in the domain of musical performance. A final sample size of 13 studies (total N = 788) was carefully extracted to satisfy the following criteria: reported durations of task-specific accumulated practice as predictor variables and objectively assessed musical achievement as the target variable. We identified an aggregated effect size of r c = 0.61; 95% CI [0.54, 0.67] for the relationship between task-relevant practice (which by definition includes DP) and musical achievement. Our results corroborate the central role of long-term (deliberate) practice for explaining expert performance in music.

  2. A novel corrective approach to achieve satisfactory function of a 'sunk' colostomy.

    Science.gov (United States)

    Siddique, K; Prud'Homme, G; Samuel, N; Avil-Griffiths, K; Offori, T

    2016-05-01

    Creation of gastrointestinal stomas is a common colorectal procedure associated with early or late complications, some of which demand advanced technical skills and expertise for optimal management. A 63-year-old male underwent a defunctioning loop colostomy for locally advanced rectal cancer with liver metastasis. Three months later, he had developed a skinfold over his stoma that resulted in a horizontal skin crease traversing through the stoma, causing the stoma to 'sink' leading to obliteration of the stomal opening. This scenario led to ineffective attachment of a stoma appliance, resulting in painful peristomal ulcers. After excision of the anterior abdominal wall, assessment of colostomy opening was carried out, followed by closure of the subcutaneous tissues and drain fixation. An elevated colostomy with an adequate functional opening was seen after wound closure. The patient made an uneventful recovery and was discharged home. After 3 weeks, he had a fully opened, normally functioning colostomy and peristomal ulcers were almost healed. This case highlights the challenges of stoma management, its related risks, avoidance of delay in chemotherapy, a patient wish for early return to work, and the novel approach we adopted to deal with these issues.

  3. A novel corrective approach to achieve satisfactory function of a ‘sunk’ colostomy

    Science.gov (United States)

    Siddique, K; Prud’Homme, G; Samuel, N; Avil-Griffiths, K; Offori, T

    2016-01-01

    Introduction Creation of gastrointestinal stomas is a common colorectal procedure associated with early or late complications, some of which demand advanced technical skills and expertise for optimal management. Case History A 63-year-old male underwent a defunctioning loop colostomy for locally advanced rectal cancer with liver metastasis. Three months later, he had developed a skinfold over his stoma that resulted in a horizontal skin crease traversing through the stoma, causing the stoma to ‘sink’ leading to obliteration of the stomal opening. This scenario led to ineffective attachment of a stoma appliance, resulting in painful peristomal ulcers. After excision of the anterior abdominal wall, assessment of colostomy opening was carried out, followed by closure of the subcutaneous tissues and drain fixation. An elevated colostomy with an adequate functional opening was seen after wound closure. The patient made an uneventful recovery and was discharged home. After 3 weeks, he had a fully opened, normally functioning colostomy and peristomal ulcers were almost healed. Conclusions This case highlights the challenges of stoma management, its related risks, avoidance of delay in chemotherapy, a patient wish for early return to work, and the novel approach we adopted to deal with these issues. PMID:27087345

  4. Experimental analysis on a novel solar collector system achieved by supercritical CO2 natural convection

    International Nuclear Information System (INIS)

    Chen, Lin; Zhang, Xin-Rong

    2014-01-01

    Highlights: • Supercritical CO 2 flow is proposed for natural circulation solar water heater system. • Experimental system established and consists of supercritical fluid high pressure side and water side. • Stable supercritical CO 2 natural convective flow is well induced and water heating process achieved. • Seasonal solar collector system efficiency above 60% achieved and optimization discussed. - Abstract: Solar collector has become a hot topic both in scientific research and engineering applications. Among the various applications, the hot water supply demand accounts for a large part of social energy consumption and has become one promising field. The present study deals with a novel solar thermal conversion and water heater system achieved by supercritical CO 2 natural circulation. Experimental systems are established and tested in Zhejiang Province (around N 30.0°, E 120.6°) of southeast China. The current system is designed to operate in the supercritical region, thus the system can be compactly made and achieve smooth high rate natural convective flow. During the tests, supercritical CO 2 pipe flow with Reynolds number higher than 6700 is found. The CO 2 fluid temperature in the heat exchanger can be as high as 80 °C and a stable supply of hot water above 45 °C is achieved. In the seasonal tests, relative high collector efficiency generally above 60.0% is obtained. Thermal and performance analysis is carried out with the experiment data. Comparisons between the present system and previous solar water heaters are also made in this paper

  5. Theoretical analysis of polarized structure functions

    International Nuclear Information System (INIS)

    Altarelli, G.; ); Ball, R.D.; Forte, S.; Ridolfi, G.

    1998-01-01

    We review the analysis of polarized structure function data using perturbative QCD and NLO We use the most recent experimental data to obtain updated results for polarized parton distributions, first moments and the strong coupling. We also discuss several theoretical issues involving in this analysis and in the interpretation of its results. Finally, we compare our results with other similar analyses in the recent literature. (author)

  6. Theoretical Analysis of Polarized Structure Functions

    CERN Document Server

    Altarelli, Guido; Forte, Stefano; Ridolfi, G

    1998-01-01

    We review the analysis of polarized structure function data using perturbative QCD at next-to-leading order. We use the most recent experimental data to obtain updated results for polarized parton distributions, first moments and the strong coupling. We also discuss several theoretical issues involved in this analysis and in the interpretation of its results. Finally, we compare our results with other similar analyses in the recent literature.

  7. Executive functioning and reading achievement in school: a study of Brazilian children assessed by their teachers as “poor readers”

    Science.gov (United States)

    Engel de Abreu, Pascale M. J.; Abreu, Neander; Nikaedo, Carolina C.; Puglisi, Marina L.; Tourinho, Carlos J.; Miranda, Mônica C.; Befi-Lopes, Debora M.; Bueno, Orlando F. A.; Martin, Romain

    2014-01-01

    This study examined executive functioning and reading achievement in 106 6- to 8-year-old Brazilian children from a range of social backgrounds of whom approximately half lived below the poverty line. A particular focus was to explore the executive function profile of children whose classroom reading performance was judged below standard by their teachers and who were matched to controls on chronological age, sex, school type (private or public), domicile (Salvador/BA or São Paulo/SP) and socioeconomic status. Children completed a battery of 12 executive function tasks that were conceptual tapping cognitive flexibility, working memory, inhibition and selective attention. Each executive function domain was assessed by several tasks. Principal component analysis extracted four factors that were labeled “Working Memory/Cognitive Flexibility,” “Interference Suppression,” “Selective Attention,” and “Response Inhibition.” Individual differences in executive functioning components made differential contributions to early reading achievement. The Working Memory/Cognitive Flexibility factor emerged as the best predictor of reading. Group comparisons on computed factor scores showed that struggling readers displayed limitations in Working Memory/Cognitive Flexibility, but not in other executive function components, compared to more skilled readers. These results validate the account that working memory capacity provides a crucial building block for the development of early literacy skills and extends it to a population of early readers of Portuguese from Brazil. The study suggests that deficits in working memory/cognitive flexibility might represent one contributing factor to reading difficulties in early readers. This might have important implications for how educators might intervene with children at risk of academic under achievement. PMID:24959155

  8. Reliability analysis of software based safety functions

    International Nuclear Information System (INIS)

    Pulkkinen, U.

    1993-05-01

    The methods applicable in the reliability analysis of software based safety functions are described in the report. Although the safety functions also include other components, the main emphasis in the report is on the reliability analysis of software. The check list type qualitative reliability analysis methods, such as failure mode and effects analysis (FMEA), are described, as well as the software fault tree analysis. The safety analysis based on the Petri nets is discussed. The most essential concepts and models of quantitative software reliability analysis are described. The most common software metrics and their combined use with software reliability models are discussed. The application of software reliability models in PSA is evaluated; it is observed that the recent software reliability models do not produce the estimates needed in PSA directly. As a result from the study some recommendations and conclusions are drawn. The need of formal methods in the analysis and development of software based systems, the applicability of qualitative reliability engineering methods in connection to PSA and the need to make more precise the requirements for software based systems and their analyses in the regulatory guides should be mentioned. (orig.). (46 refs., 13 figs., 1 tab.)

  9. Maternal Work Early in the Lives of Children and Its Distal Associations with Achievement and Behavior Problems: A Meta-Analysis

    Science.gov (United States)

    Lucas-Thompson, Rachel G.; Goldberg, Wendy A.; Prause, JoAnn

    2010-01-01

    This meta-analysis of 69 studies (1,483 effect sizes) used random effects models to examine maternal employment during infancy/early childhood in relation to 2 major domains of child functioning: achievement and behavior problems. Analyses of studies that spanned 5 decades indicated that, with a few exceptions, early employment was not…

  10. Using Biomimetic Polymers in Place of Noncollagenous Proteins to Achieve Functional Remineralization of Dentin Tissues

    Energy Technology Data Exchange (ETDEWEB)

    Chien, Yung-Ching [Molecular; Department; Tao, Jinhui [Molecular; Physical; Saeki, Kuniko [Department; Chin, Alexander F. [Department; Lau, Jolene L. [Molecular; Chen, Chun-Long [Molecular; Physical; Zuckermann, Ronald N. [Molecular; Marshall, Sally J. [Department; Marshall, Grayson W. [Department; De Yoreo, James J. [Molecular; Physical; Department

    2017-11-16

    In calcified tissues such as bones and teeth, mineralization is regulated by an extracellular matrix, which includes non-collagenous proteins (NCP). This natural process has been adapted or mimicked to restore tissues following physical damage or demineralization by using polyanionic acids in place of NCPs, but the remineralized tissues fail to fully recover their mechanical properties. Here we show that pre-treatment with certain amphiphilic peptoids, a class of peptide-like polymers consisting of N-substituted glycines that have defined monomer sequences, enhances ordering and mineralization of collagen and induces functional remineralization of dentin lesions in vitro. In the vicinity of dentin tubules, the newly formed apatite nano-crystals are co-aligned with the c-axis parallel to the tubular periphery and recovery of tissue ultrastructure is accompanied by development of high mechanical strength. The observed effects are highly sequence-dependent with alternating polar and non-polar groups leading to positive outcomes while diblock sequences have no effect. The observations suggest aromatic groups interact with the collagen while the hydrophilic side chains bind the mineralizing constituents and highlight the potential of synthetic sequence-defined biomimetic polymers to serve as NCP mimics in tissue remineralization.

  11. Adaptive Analysis of Functional MRI Data

    International Nuclear Information System (INIS)

    Friman, Ola

    2003-01-01

    Functional Magnetic Resonance Imaging (fMRI) is a recently developed neuro-imaging technique with capacity to map neural activity with high spatial precision. To locate active brain areas, the method utilizes local blood oxygenation changes which are reflected as small intensity changes in a special type of MR images. The ability to non-invasively map brain functions provides new opportunities to unravel the mysteries and advance the understanding of the human brain, as well as to perform pre-surgical examinations in order to optimize surgical interventions. This dissertation introduces new approaches for the analysis of fMRI data. The detection of active brain areas is a challenging problem due to high noise levels and artifacts present in the data. A fundamental tool in the developed methods is Canonical Correlation Analysis (CCA). CCA is used in two novel ways. First as a method with the ability to fully exploit the spatio-temporal nature of fMRI data for detecting active brain areas. Established analysis approaches mainly focus on the temporal dimension of the data and they are for this reason commonly referred to as being mass-univariate. The new CCA detection method encompasses and generalizes the traditional mass-univariate methods and can in this terminology be viewed as a mass-multivariate approach. The concept of spatial basis functions is introduced as a spatial counterpart of the temporal basis functions already in use in fMRI analysis. The spatial basis functions implicitly perform an adaptive spatial filtering of the fMRI images, which significantly improves detection performance. It is also shown how prior information can be incorporated into the analysis by imposing constraints on the temporal and spatial models and a constrained version of CCA is devised to this end. A general Principal Component Analysis technique for generating and constraining temporal and spatial subspace models is proposed to be used in combination with the constrained CCA

  12. Functional data analysis of sleeping energy expenditure

    Science.gov (United States)

    Adequate sleep is crucial during childhood for metabolic health, and physical and cognitive development. Inadequate sleep can disrupt metabolic homeostasis and alter sleeping energy expenditure (SEE). Functional data analysis methods were applied to SEE data to elucidate the population structure of ...

  13. Is crossed laterality associated with academic achievement and intelligence? A systematic review and meta-analysis.

    Science.gov (United States)

    Ferrero, Marta; West, Gillian; Vadillo, Miguel A

    2017-01-01

    Over the last century, sporadic research has suggested that people whose hand, eye, foot, or ear dominances are not consistently right- or left-sided are at special risk of suffering academic difficulties. This phenomenon is known as crossed laterality. Although the bulk of this research dates from 1960's and 1970's, crossed laterality is becoming increasingly popular in the area of school education, driving the creation of several interventions aimed at restoring or consolidating lateral dominance. However, the available evidence is fragmentary. To determine the impact of crossed laterality on academic achievement and intelligence, we conducted a systematic review and meta-analysis of articles published since 1900. The inclusion criteria for the review required that studies used one or more lateral preference tasks for at least two specific parts of the body; they included a valid measure of crossed laterality; they measured the impact of crossed laterality on academic achievement or intelligence; and they included participants between 3 and 17 years old. The final sample included 26 articles that covered a total population of 3578 children aged 5 to 12. Taken collectively, the results of these studies do not support the claim that there is a reliable association between crossed laterality and either academic achievement or intelligence. Along with this, we detected important shortcomings in the literature, such as considerable heterogeneity among the variables used to measure laterality and among the tasks utilized to measure the outcomes. The educational implications of these results are discussed.

  14. Comparative Analysis of Rote Learning on High and Low Achievers in Graduate and Undergraduate Programs

    Directory of Open Access Journals (Sweden)

    Ambreen Ahmed

    2017-06-01

    Full Text Available A survey was conducted to study the preferred learning strategies; that is, surface learning or deep learning of undergraduate and graduate male and female students and the impact of the preferred strategy on their academic performance. Both learning strategies help university students to get good scores in their examinations to meet the demands of industry in workforce. Quantitative research method was used to determine the impact of learning strategy on academic achievements. The R-SPQ2F questionnaire was sent to 103 students through Google forms and hard copies through snowball sampling technique. The results show that rote learning and academic performance are inversely related to each other. In high achievers, deep learning is significant as compared to low achievers. Furthermore, comparative analysis of learning styles on males and females showed that both preferred deep learning strategy equally. Learning strategy is not related to education level of students because there is no difference among preferred learning strategies of graduate and undergraduate students.

  15. Chemical kinetic functional sensitivity analysis: Elementary sensitivities

    International Nuclear Information System (INIS)

    Demiralp, M.; Rabitz, H.

    1981-01-01

    Sensitivity analysis is considered for kinetics problems defined in the space--time domain. This extends an earlier temporal Green's function method to handle calculations of elementary functional sensitivities deltau/sub i//deltaα/sub j/ where u/sub i/ is the ith species concentration and α/sub j/ is the jth system parameter. The system parameters include rate constants, diffusion coefficients, initial conditions, boundary conditions, or any other well-defined variables in the kinetic equations. These parameters are generally considered to be functions of position and/or time. Derivation of the governing equations for the sensitivities and the Green's funciton are presented. The physical interpretation of the Green's function and sensitivities is given along with a discussion of the relation of this work to earlier research

  16. Hand function evaluation: a factor analysis study.

    Science.gov (United States)

    Jarus, T; Poremba, R

    1993-05-01

    The purpose of this study was to investigate hand function evaluations. Factor analysis with varimax rotation was used to assess the fundamental characteristics of the items included in the Jebsen Hand Function Test and the Smith Hand Function Evaluation. The study sample consisted of 144 subjects without disabilities and 22 subjects with Colles fracture. Results suggest a four factor solution: Factor I--pinch movement; Factor II--grasp; Factor III--target accuracy; and Factor IV--activities of daily living. These categories differentiated the subjects without Colles fracture from the subjects with Colles fracture. A hand function evaluation consisting of these four factors would be useful. Such an evaluation that can be used for current clinical purposes is provided.

  17. k{sub 0}-neutron activation analysis based method at CDTN: history, development and main achievements

    Energy Technology Data Exchange (ETDEWEB)

    Menezes, Maria Ângela de B.C.; Jacimovic, Radojko; Dalmazio, Ilza, E-mail: menezes@cdtn.br, E-mail: id@cdtn.br, E-mail: radojko.jacimovic@ijs.si [Centro de Desenvolvimento da Tecnologia Nuclear (CDTN/CNEN-MG), Belo Horizonte - MG (Brazil); Jožef Stefan Institute, Department of Environmental Sciences, Ljubljana (Slovenia)

    2017-11-01

    Neutron Activation Analysis (NAA) is an analytical technique to assay the elemental chemical composition in samples of several matrices. It has been applied by the Laboratory for Neutron Activation Analysis, located at Centro de Desenvolvimento da Tecnologia Nuclear (Nuclear Technology Development Centre) /Comissao Nacional de Energia Nuclear (Brazilian Commission for Nuclear Energy), CDTN/CNEN, since the starting up of the TRIGA MARK I IPR-R1 reactor, in 1960. Among the methods of this technique, the k{sub 0}-standardization method, which was established at CDTN in 1995, is the most efficient and in 2003 it was re-established and optimized. This paper is about the history and the main achievements since then. (author)

  18. k_0-neutron activation analysis based method at CDTN: history, development and main achievements

    International Nuclear Information System (INIS)

    Menezes, Maria Ângela de B.C.; Jacimovic, Radojko; Dalmazio, Ilza

    2017-01-01

    Neutron Activation Analysis (NAA) is an analytical technique to assay the elemental chemical composition in samples of several matrices. It has been applied by the Laboratory for Neutron Activation Analysis, located at Centro de Desenvolvimento da Tecnologia Nuclear (Nuclear Technology Development Centre) /Comissao Nacional de Energia Nuclear (Brazilian Commission for Nuclear Energy), CDTN/CNEN, since the starting up of the TRIGA MARK I IPR-R1 reactor, in 1960. Among the methods of this technique, the k_0-standardization method, which was established at CDTN in 1995, is the most efficient and in 2003 it was re-established and optimized. This paper is about the history and the main achievements since then. (author)

  19. Maternal perinatal mental health and offspring academic achievement at age 16: the mediating role of childhood executive function.

    Science.gov (United States)

    Pearson, Rebecca M; Bornstein, Marc H; Cordero, Miguel; Scerif, Gaia; Mahedy, Liam; Evans, Jonathan; Abioye, Abu; Stein, Alan

    2016-04-01

    Elucidating risk pathways for under-achieving at school can inform strategies to reduce the number of adolescents leaving school without passing grades in core subjects. Maternal depression can compromise the quality of parental care and is associated with multiple negative child outcomes. However, only a few small studies have investigated the association between perinatal maternal depression and poor academic achievement in adolescence. The pathways to explain the risks are also unclear. Prospective observational data from 5,801 parents and adolescents taking part in a large UK population cohort (Avon-Longitudinal-Study-of-Parents-and-Children) were used to test associations between maternal and paternal depression and anxiety in the perinatal period, executive function (EF) at age 8, and academic achievement at the end of compulsory school at age 16. Adolescents of postnatally depressed mothers were 1.5 times (1.19, 1.94, p = .001) as likely as adolescents of nondepressed mothers to fail to achieve a 'pass' grade in math; antenatal anxiety was also an independent predictor of poor math. Disruption in different components of EF explained small but significant proportions of these associations: attentional control explained 16% (4%, 27%, p working memory explained 17% (13%, 30%, p = .003) of the association with antenatal anxiety. A similar pattern was seen for language grades, but associations were confounded by maternal education. There was no evidence that paternal factors were independently associated with impaired child EF or adolescent exams. Maternal postnatal depression and antenatal anxiety are risk factors for adolescents underachieving in math. Preventing, identifying, and treating maternal mental health in the perinatal period could, therefore, potentially increase adolescents' academic achievement. Different aspects of EF partially mediated these associations. Further work is needed, but if these pathways are causal, improving EF could reduce

  20. First Meeting in Topology and Functional Analysis

    CERN Document Server

    López-Pellicer, Manuel

    2014-01-01

    Descriptive topology and functional analysis, with extensive material demonstrating new connections between them, are the subject of the first section of this work. Applications to spaces of continuous functions, topological Abelian groups, linear topological equivalence and to the separable quotient problem are included and are presented as open problems. The second section is devoted to Banach spaces, Banach algebras and operator theory. Each chapter presents a lot of worthwhile and important recent theorems with an abstract discussing the material in the chapter. Each chapter can almost be seen as a survey covering a particular area.

  1. Identification of impeding factors for dry weight achievement in end-stage renal disease after appropriate kidney graft function.

    Science.gov (United States)

    Rivera-González, Sonia Catalina; Pérez-Grovas, Héctor; Madero, Magdalena; Mora-Bravo, Franklin; Saavedra, Nadia; López-Rodriguez, Javier; Lerma, Claudia

    2014-02-01

    The aim of this study was to evaluate the factors that prevent dry weight achievement in patients with end-stage renal disease (ESRD) in renal replacement therapy through the change in their body weight after kidney transplant (KT) compared with 1 week before KT. The study included 188 ESRD patients of diverse etiology who received living kidney transplantation with normal immediate graft function, 62.2% were male, age 29 ± 11 years old. All patients were on renal replacement therapy for at least 1 month before KT with either hemodiafiltration (N = 106), hemodialysis (N = 25), or peritoneal dialysis (N = 57). Based on body weight difference (after transplant-before transplant), patients with body weight difference ≤2 kg were considered as being close to their dry weight (Group 1, N = 112), whereas patients with body weight difference >2 kg were considered as being overhydrated (Group 2, N = 76). Clinical and biochemical characteristics were obtained from the medical records at three periods of time: time of ESRD initiation (baseline), 1 week before undergoing KT, and 1 week after KT. The mean time (± standard deviation) from renal replacement therapy initiation to the week before KT was 9.2 ± 5 months. Group 2 had a higher proportion of men, antihypertensive use, peritoneal dialysis, and higher urine output during all periods. Before KT, Group 2 had higher systolic and diastolic blood pressures than Group 1. After KT, both systolic and diastolic blood pressures decreased in Group 2, whereas no change occurred in Group 1. Before KT, Group 2 had higher levels of blood urea nitrogen, creatinine, uric acid, and phosphorous compared with Group 1. Compared with baseline, Group 1 had more optimal blood urea nitrogen, creatinine, and uric acid parameters before KT than Group 2. After KT, all parameters improved with respect to baseline in both groups. Hemoglobin, albumin, and sodium were similar between groups, except for higher

  2. Is psychological membership in the classroom a function of standing out while fitting in? Implications for achievement motivation and emotions.

    Science.gov (United States)

    Gray, DeLeon L

    2017-04-01

    Education researchers have consistently linked students' perceptions of "fitting in" at school with patterns of motivation and positive emotions. This study proposes that "standing out" is also helpful for producing these outcomes, and that standing out works in concert with perceptions of fitting in. In a sample of 702 high school students nested within 33 classrooms, principal components analysis and confirmatory factor analysis were each conducted on half of the sample. Results support the proposed structure of measures of standing out and fitting in. Multilevel latent profile analysis was then used to classify students into four profiles of standing out while fitting in (SOFI): Unfulfilled, Somewhat Fulfilled, Nearly Fulfilled, and Fulfilled. A multinomial logistic regression revealed that students of color and those on who paid free/reduced prices lunch were overrepresented in the Unfulfilled and Somewhat Fulfilled profiles. A multilevel path analysis was then performed to assess the direct and indirect associations of profile membership with measures of task value and achievement emotions. Relative to the other profiles, students in the Fulfilled SOFI Profile express greater psychological membership in their classrooms and, in turn, express higher valuing of academic material (i.e., intrinsic value, utility value, and attainment value) and more positive achievement emotions (i.e., more enjoyment and pride; less boredom, hopelessness, and shame). This investigation provides critical insights on the potential benefits of structuring academic learning environments to foster feelings of distinctiveness among adolescents; and has implications for cultivating identities and achievement motivation in academic settings. Copyright © 2017 Society for the Study of School Psychology. Published by Elsevier Ltd. All rights reserved.

  3. Achieving the 30% Goal: Energy and Cost Savings Analysis of ASHRAE Standard 90.1-2010

    Energy Technology Data Exchange (ETDEWEB)

    Thornton, Brian A.; Rosenberg, Michael I.; Richman, Eric E.; Wang, Weimin; Xie, YuLong; Zhang, Jian; Cho, Heejin; Mendon, Vrushali V.; Athalye, Rahul A.; Liu, Bing

    2011-05-24

    This Technical Support Document presents the energy and cost savings analysis that PNNL conducted to measure the potential energy savings of 90.1-2010 relative to 90.1-2004. PNNL conducted this analysis with inputs from many other contributors and source of information. In particular, guidance and direction was provided by the Simulation Working Group under the auspices of the SSPC90.1. This report documents the approach and methodologies that PNNL developed to evaluate the energy saving achieved from use of ASHRAE/IES Standard 90.1-2010. Specifically, this report provides PNNL’s Progress Indicator process and methodology, EnergyPlus simulation framework, prototype model descriptions. This report covers the combined upgrades from 90.1-2004 to 90.1-2010, resulting in a total of 153 addenda. PNNL has reviewed and considered all 153 addenda for quantitative analysis in the Progress Indicator process. 53 of those are included in the quantitative analysis. This report provides information on the categorization of all of the addenda, a summary of the content, and deeper explanation of the impact and modeling of 53 identified addenda with quantitative savings.

  4. Function analysis of steam isolation valves

    International Nuclear Information System (INIS)

    Persson, R.; Kilpi, K.; Noro, H.; Siikonen, T.; Sjoeberg, A.; Wallen, G.; Aakesson, H.

    1981-01-01

    Function analysis of system-medium-operated steam isolation valves has been the objective of the Swedish-Finnish IVLS project, the results of which are presented in this report. Theoretical models were to be verified against available experimental data, to some extent from the HDR blowdown experiments, which are part of a German reactor safety program. Finnish hydraulic measurements on a valve model (scale 1:2.15) have been performed to give complementary data. The analysis work has covered the thermal-hydraulic behaviour of steam isolation valves as well as phenomena related to structural mechanics. Work performed under contract with the Swedish Nuclear Power Inspectorate. (Author)

  5. Function analysis of steam isolation valves

    International Nuclear Information System (INIS)

    Persson, R.; Sjoeberg, A.; Aakesson, H.; Kilpi, K.; Noro, H.; Siikonen, T.; Wallen, G.

    1981-01-01

    Function analysis of system-medium-operated steam isolation valves has been the objective of the Swedish-Finnish IVLS project, the results of which are presented in this report. Theoretical models were to be verified against available experimental data, to some extent from the HDR blowdown experiments, which are part of a German reactor safety program. Finnish hydraulic measurements on a valve model (scale 1:2.15) have been performed to give complementary data. The analysis work has covered the thermal-hydraulic behaviour of steam isolation valves as well as phenomena related to structural mechanics. (Auth.)

  6. Fracture Analysis of Functionally Graded Materials

    International Nuclear Information System (INIS)

    Zhang, Ch.; Gao, X. W.; Sladek, J.; Sladek, V.

    2010-01-01

    This paper reports our recent research works on crack analysis in continuously non-homogeneous and linear elastic functionally graded materials. A meshless boundary element method is developed for this purpose. Numerical examples are presented and discussed to demonstrate the efficiency and the accuracy of the present numerical method, and to show the effects of the material gradation on the crack-opening-displacements and the stress intensity factors.

  7. Survival Function Analysis of Planet Size Distribution

    OpenAIRE

    Zeng, Li; Jacobsen, Stein B.; Sasselov, Dimitar D.; Vanderburg, Andrew

    2018-01-01

    Applying the survival function analysis to the planet radius distribution of the Kepler exoplanet candidates, we have identified two natural divisions of planet radius at 4 Earth radii and 10 Earth radii. These divisions place constraints on planet formation and interior structure model. The division at 4 Earth radii separates small exoplanets from large exoplanets above. When combined with the recently-discovered radius gap at 2 Earth radii, it supports the treatment of planets 2-4 Earth rad...

  8. Why Production Function Analysis is Irrelevant in Policy Deliberations Concerning Educational Funding Equity

    Directory of Open Access Journals (Sweden)

    Jim C. Fortune

    1993-11-01

    Full Text Available Hanushek and Walberg use production function methodology to contend that there is no relationship between school expenditures and student achievement. Production function methodology uses correlational methods to demonstrate relationships between input and output in an economic system. These correlational methods may serve to hide rather than reveal these relationships. In this paper threats to the validity of these correlational methods for analysis of expenditure-achievement data are discussed and an alternative method of investigation is proposed. The proposed method is illustrated using data from two states (Ohio and Missouri. The method demonstrates relationships between expenditures and achievement that were overlooked by the production function method.

  9. Componential Analysis of Analogical-Reasoning Performance of High and Low Achievers.

    Science.gov (United States)

    Armour-Thomas, Eleanor; Allen, Brenda A.

    1990-01-01

    Assessed analogical reasoning in high- and low-achieving students at the high school level and determined whether analogical reasoning was related to academic achievement in ninth grade students (N=54). Results indicated that high achievers performed better than low achievers on all types of analogical-reasoning processes. (Author/ABL)

  10. Industrial entrepreneurial network: Structural and functional analysis

    Science.gov (United States)

    Medvedeva, M. A.; Davletbaev, R. H.; Berg, D. B.; Nazarova, J. J.; Parusheva, S. S.

    2016-12-01

    Structure and functioning of two model industrial entrepreneurial networks are investigated in the present paper. One of these networks is forming when implementing an integrated project and consists of eight agents, which interact with each other and external environment. The other one is obtained from the municipal economy and is based on the set of the 12 real business entities. Analysis of the networks is carried out on the basis of the matrix of mutual payments aggregated over the certain time period. The matrix is created by the methods of experimental economics. Social Network Analysis (SNA) methods and instruments were used in the present research. The set of basic structural characteristics was investigated: set of quantitative parameters such as density, diameter, clustering coefficient, different kinds of centrality, and etc. They were compared with the random Bernoulli graphs of the corresponding size and density. Discovered variations of random and entrepreneurial networks structure are explained by the peculiarities of agents functioning in production network. Separately, were identified the closed exchange circuits (cyclically closed contours of graph) forming an autopoietic (self-replicating) network pattern. The purpose of the functional analysis was to identify the contribution of the autopoietic network pattern in its gross product. It was found that the magnitude of this contribution is more than 20%. Such value allows using of the complementary currency in order to stimulate economic activity of network agents.

  11. THE ANALYSIS OF STUDENTS’ TEAM ACHIEVEMENT DIVISIONS (STAD USED IN LEARNING PRACTICE OF TRANSLATING AND INTERPRETING

    Directory of Open Access Journals (Sweden)

    Anita Rakhman

    2015-12-01

    Full Text Available This research deals with The Analysis of Student Teams Achievement Division (STAD used in Learning Practice of Translating and Interpreting. This research explores the implementation of STAD and find out the advantages and disadvantages of STAD used in learning Practice of Translating and Interpreting. The objective of the research was to motivate students and encourage them to be active in learning, to accelerate student achievement, to improve behavior in learning, and to find out the students’ ability with STAD method. Data collection technique focused on participant observation, interviews, and documentation. STAD is one type of cooperative learning model using small groups with a number of members of each group of 4-5 students in heterogenic way. It begins by delivering the objectives of learning, delivering of material, group activities, quizzes and group rewards. STAD method also is an effective method of cooperative learning. As with other learning methods, STAD method also has advantages and disadvantages. In the learning process there are good interactions among students, good attitude, increased interpersonal skills. It’s effective in increasing student participation and can train students to be more focus, more concentrate in answering questions from the teacher. It can make students eager to learn. But if the chief of the group can not resolve conflicts that arise constructively, it will be less effective in a group work. And if the number of groups is not considered, that is less than four, it would tend to withdraw and less active during the discussion. And if the number of groups of more than five, then chances for them to be passive in task completion   Keywords: Student Team Achievement Division (STAD, Cooperative Learning.

  12. 2011 and 2012 Early Careers Achievement Awards: Placental programming: how the maternal environment can impact placental function.

    Science.gov (United States)

    Vonnahme, K A; Lemley, C O; Shukla, P; O'Rourke, S T

    2013-06-01

    Proper establishment of the placenta is important for fetal survival; however, placental adaptations to inadequate maternal nutrition or other stressors are imperative for fetal growth to be optimal. The effects of maternal nutritional status and activity level on placental vascular function and uteroplacental blood flows are important to understand as improper placental function leads to reduced growth of the fetus. In environments where fetal growth can be compromised, potential therapeutics may augment placental function and delivery of nutrients to improve offspring performance during postnatal life. Factors that could enhance placental function include supplementation of specific nutrients, such as protein, hormone supplements, such as indolamines, and increased activity levels of the dam. To understand the mechanism of how the maternal environment can impact uterine or umbilical blood flows, assessment of placental vascular reactivity has been studied in several large animal models. As we begin to understand how the maternal environment impacts uterine and umbilical blood flows and other uteroplacental hemodynamic parameters, development of management methods and therapeutics for proper fetal growth can be achieved.

  13. Magnetic Resonance Imaging (MRI) Analysis of Fibroid Location in Women Achieving Pregnancy After Uterine Artery Embolization

    International Nuclear Information System (INIS)

    Walker, Woodruff J.; Bratby, Mark John

    2007-01-01

    The purpose of this study was to evaluate the fibroid morphology in a cohort of women achieving pregnancy following treatment with uterine artery embolization (UAE) for symptomatic uterine fibroids. A retrospective review of magnetic resonance imaging (MRI) of the uterus was performed to assess pre-embolization fibroid morphology. Data were collected on fibroid size, type, and number and included analysis of follow-up imaging to assess response. There have been 67 pregnancies in 51 women, with 40 live births. Intramural fibroids were seen in 62.7% of the women (32/48). Of these the fibroids were multiple in 16. A further 12 women had submucosal fibroids, with equal numbers of types 1 and 2. Two of these women had coexistent intramural fibroids. In six women the fibroids could not be individually delineated and formed a complex mass. All subtypes of fibroid were represented in those subgroups of women achieving a live birth versus those who did not. These results demonstrate that the location of uterine fibroids did not adversely affect subsequent pregnancy in the patient population investigated. Although this is only a small qualitative study, it does suggest that all types of fibroids treated with UAE have the potential for future fertility

  14. Achieving value for money in health: a comparative analysis of OECD countries and regional countries.

    Science.gov (United States)

    Çelik, Yusuf; Khan, Mahmud; Hikmet, Neşet

    2017-10-01

    To measure efficiency gains in health sector over the years 1995 to 2013 in OECD, EU, non-member European countries. An output-oriented DEA model with variable return to scale, and residuals estimated by regression equations were used to estimate efficiencies of health systems. Slacks for health care outputs and inputs were calculated by using DEA multistage method of estimating country efficiency scores. Better health outcomes of countries were related with higher efficiency. Japan, France, or Sweden were found to be peer-efficient countries when compared to other developed countries like Germany and United States. Increasing life expectancy beyond a certain high level becomes very difficult to achieve. Despite declining marginal productivity of inputs on health outcomes, some developed countries and developing countries were found to have lowered their inefficiencies in the use of health inputs. Although there was no systematic relationship between political system of countries and health system efficiency, the objectives of countries on social and health policy and the way of achieving these objectives might be a factor increasing the efficiency of health systems. Economic and political stability might be as important as health expenditure in improving health system goals. A better understanding of the value created by health expenditures, especially in developed countries, will require analysis of specific health interventions that can increase value for money in health. Copyright © 2016 John Wiley & Sons, Ltd. Copyright © 2016 John Wiley & Sons, Ltd.

  15. Implementation of production function of labor law as a means of achieving the social stability in Russia

    Directory of Open Access Journals (Sweden)

    Tatyana Aleksandrovna Izbiyenova

    2015-09-01

    Full Text Available Objective to determine the role and importance of the production function in the Russian labor law under modern conditions. Methods general comparative analysis abstraction analysis synthesis and speciallegal methods method of comparative law analysis technicallegal method etc.. Results the study proved the necessity of amendment in the civil law in terms of giving workers39 representatives the right to participate in the work of collective bodies of legal entities. The existing approaches to the formation of the management bodies do not allow to discuss the possibility of successful implementation of the production function of labour law. Scientific novelty for the first time by the examples of industrial democracy implementation in some foreign countries and in the Russian Federation the role and significance of industrial democracy was studied as the form of implementation of the production function of labour law. Practical significance the main provisions and conclusions of the article can be used in research activities when considering the functions of the Russian labour law and also in standardsetting activities for the improvement of normative legal acts. nbsp

  16. Effect of gender and nutritional status on academic achievement and cognitive function among primary school children in a rural district in Malaysia.

    Science.gov (United States)

    Hamid, Jan J M; Amal, Mitra K; Hasmiza, H; Pim, C D; Ng, L O; Wan, Manan W M

    2011-08-01

    The aim of this study was to investigate the relationship between gender, birth weight, nutritional status, and iron status of children with their academic performance and cognitive function. Two hundred and forty-nine children, seven to nine years of age, were recruited by systematic sampling from six primary schools in a rural area in Malaysia. Cognitive function was assessed by using Raven's Coloured Progressive Matrices (R-CPM). Academic performance of the children was recorded from their school final examination results in four subjects including Malay language, English, Mathematics, and Science. Birth weight was recorded from the birth certificate, and nutritional status was determined by weight-for-age z score and height-for-age z score. Girls had a significantly higher score in all the academic tests, but a lower cognitive score compared to boys. Nutritional status was found to be correlated significantly with academic performance. Academic and cognitive function scores were also found to be correlated significantly with birth weight, parents' education, and family income. In a multivariate analysis, gender remained the significant predictor of academic function, and iron status and haemoglobin were the significant predictors of cognitive function, after controlling for other variables. The study showed that girls performed better academically than boys in rural Malaysia. Nutritional status, parents' education and family income could be additional modifiable factors to improve academic performance of the children. More attention is needed to improve academic achievements of boys at their early school years.

  17. Predictive Technology Management for the Identification of Future Development Trends and the Maximum Achievable Potential Based on a Quantitative Analysis

    Directory of Open Access Journals (Sweden)

    Michael Fries

    2017-07-01

    Full Text Available A company’s ability to find the most profitable technology is based on a precise forecast of achievement potential. Technology Management (TM uses forecasting models to analyse future potentials, e.g. the Gartner Hype Cycle, Arthur D. Little’s technology lifecycle or McKinsey’s S-curve model. All these methods are useful for qualitative analysis in the planning of strategic research and development (R&D expenses. In a new approach, exponential and logistic growth functions are used to identify and quantify characteristic stages of technology development. Innovations from electrical, mechanical and computer engineering are observed and projected until the year 2025. Datasets from different industry sectors are analysed, as the number of active Facebook users worldwide, the tensile yield point of flat bar steel, the number of transistors per unit area on integrated circuits, the fuel efficiency per dimension of passenger cars, and the energy density of Lithium-Ion cells. Results show the period of performance doubling and the forecast for the end of the technological achievement potential. The methodology can help to answer key entrepreneurial questions such as the search for alternatives to applied technologies, as well as identifying the risk of substitution technology.

  18. Associations of Parenting Styles and Dimensions with Academic Achievement in Children and Adolescents: A Meta-Analysis

    Science.gov (United States)

    Pinquart, Martin

    2016-01-01

    Parents and researchers alike are interested in how to promote children's academic competence. The present meta-analysis integrates the results of 308 empirical studies on associations of general parenting dimensions and styles with academic achievement of children and adolescents assessed via grade point average or academic achievement tests.…

  19. 308 Building deactivation function analysis report

    International Nuclear Information System (INIS)

    Lund, D.P.

    1995-09-01

    The document contains the functions, function definitions, function interfaces, function interface definitions, Input Computer Automated Manufacturing Definition (IDEFO) diagrams, and a function hierarchy chart that describes what needs to be performed to deactivate the 308 Building

  20. PUREX Plant deactivation function analysis report

    International Nuclear Information System (INIS)

    Lund, D.P.

    1995-09-01

    The document contains the functions, function definitions, function interfaces, function interface definitions, Input Computer Automated Manufacturing Definition (IDEFO) diagrams, and a function hierarchy chart that describe what needs to be performed to deactivate PUREX

  1. 309 Building deactivation function analysis report

    International Nuclear Information System (INIS)

    Lund, D.P.

    1995-09-01

    The document contains the functions, function definitions, function interfaces, function interface definitions, Input Computer Automated Manufacturing Definition (IDEFO) diagrams, and a function hierarchy chart that describe what needs to be performed to deactivate the 309 Building

  2. FFTF Plant transition function analysis report

    International Nuclear Information System (INIS)

    Lund, D.P.

    1995-09-01

    The document contains the functions, function definitions, function interfaces, function interface definitions, Input Computer Automated Manufacturing Definition (IDEFO) diagrams, and function hierarchy charts that describe what needs to be performed to deactivate FFTF

  3. Biosensors in Health Care: The Milestones Achieved in Their Development towards Lab-on-Chip-Analysis

    Directory of Open Access Journals (Sweden)

    Suprava Patel

    2016-01-01

    Full Text Available Immense potentiality of biosensors in medical diagnostics has driven scientists in evolution of biosensor technologies and innovating newer tools in time. The cornerstone of the popularity of biosensors in sensing wide range of biomolecules in medical diagnostics is due to their simplicity in operation, higher sensitivity, ability to perform multiplex analysis, and capability to be integrated with different function by the same chip. There remains a huge challenge to meet the demands of performance and yield to its simplicity and affordability. Ultimate goal stands for providing point-of-care testing facility to the remote areas worldwide, particularly the developing countries. It entails continuous development in technology towards multiplexing ability, fabrication, and miniaturization of biosensor devices so that they can provide lab-on-chip-analysis systems to the community.

  4. FANTOM: Functional and taxonomic analysis of metagenomes

    Directory of Open Access Journals (Sweden)

    Sanli Kemal

    2013-02-01

    Full Text Available Abstract Background Interpretation of quantitative metagenomics data is important for our understanding of ecosystem functioning and assessing differences between various environmental samples. There is a need for an easy to use tool to explore the often complex metagenomics data in taxonomic and functional context. Results Here we introduce FANTOM, a tool that allows for exploratory and comparative analysis of metagenomics abundance data integrated with metadata information and biological databases. Importantly, FANTOM can make use of any hierarchical database and it comes supplied with NCBI taxonomic hierarchies as well as KEGG Orthology, COG, PFAM and TIGRFAM databases. Conclusions The software is implemented in Python, is platform independent, and is available at http://www.sysbio.se/Fantom.

  5. Achievements and barriers in the organ donation process: a critical analysis of donation coordinators' discourse.

    Science.gov (United States)

    Mercado-Martínez, Francisco J; Díaz-Medina, Blanca A; Hernández-Ibarra, Eduardo

    2013-09-01

    Donation coordinators play an important role in the success or failure of organ donation and transplant programs. Nevertheless, these professionals' perspectives and practices have hardly been explored, particularly in low- and middle-income countries. To examine donation coordinators' discourse on the organ donation process and the barriers they perceive. A critical qualitative study was carried out in Guadalajara, Mexico. Twelve donation coordinators from public and private hospitals participated. DATA GATHERING AND ANALYSIS: Data were gathered by using semistructured interviews and critical discourse analysis. Participants indicated that partial results have been achieved in deceased organ donation. Concomitantly, multiple obstacles have adversely affected the process and outcomes: at the structural level, the fragmentation of the health system and the scarcity of financial and material resources; at the relational level, nonegalitarian relationships between coordinators and hospital personnel; at the ideational level, the transplant domain and its specialists overshadow the donation domain and its coordinators. Negative images are associated with donation coordinators. Organ donation faces structural, relational, and ideational barriers; hence, complex interventions should be undertaken. Donation coordinators also should be recognized by the health system.

  6. Functional Data Analysis Applied in Chemometrics

    DEFF Research Database (Denmark)

    Muller, Martha

    nutritional status and metabolic phenotype. We want to understand how metabolomic spectra can be analysed using functional data analysis to detect the in uence of dierent factors on specic metabolites. These factors can include, for example, gender, diet culture or dietary intervention. In Paper I we apply...... representation of each spectrum. Subset selection of wavelet coecients generates the input to mixed models. Mixed-model methodology enables us to take the study design into account while modelling covariates. Bootstrap-based inference preserves the correlation structure between curves and enables the estimation...

  7. A Complexity Analysis of Functional Interpretations

    DEFF Research Database (Denmark)

    Hernest, Mircea-Dan; Kohlenbach, Ulrich

    2003-01-01

    We give a quantitative analysis of G ̈odel’s functional interpretation and its monotone variant. The two have been used for the extraction of programs and numerical bounds as well as for conservation results. They apply both to (semi-)intuitionistic as well as (combined with negative translation...... of the verifying proof. In all cases terms of size linear in the size of the proof at input can be extracted and the corresponding extraction algorithms have cubic worst-time complexity. The verifying proofs have depth linear in the depth of the proof at input and the maximal size of a formula of this proof....

  8. Achieving deep reductions in US transport greenhouse gas emissions: Scenario analysis and policy implications

    International Nuclear Information System (INIS)

    McCollum, David; Yang, Christopher

    2009-01-01

    This paper investigates the potential for making deep cuts in US transportation greenhouse gas (GHG) emissions in the long-term (50-80% below 1990 levels by 2050). Scenarios are used to envision how such a significant decarbonization might be achieved through the application of advanced vehicle technologies and fuels, and various options for behavioral change. A Kaya framework that decomposes GHG emissions into the product of four major drivers is used to analyze emissions and mitigation options. In contrast to most previous studies, a relatively simple, easily adaptable modeling methodology is used which can incorporate insights from other modeling studies and organize them in a way that is easy for policymakers to understand. Also, a wider range of transportation subsectors is considered here-light- and heavy-duty vehicles, aviation, rail, marine, agriculture, off-road, and construction. This analysis investigates scenarios with multiple options (increased efficiency, lower-carbon fuels, and travel demand management) across the various subsectors and confirms the notion that there are no 'silver bullet' strategies for making deep cuts in transport GHGs. If substantial emission reductions are to be made, considerable action is needed on all fronts, and no subsectors can be ignored. Light-duty vehicles offer the greatest potential for emission reductions; however, while deep reductions in other subsectors are also possible, there are more limitations in the types of fuels and propulsion systems that can be used. In all cases travel demand management strategies are critical; deep emission cuts will not likely be possible without slowing growth in travel demand across all modes. Even though these scenarios represent only a small subset of the potential futures in which deep reductions might be achieved, they provide a sense of the magnitude of changes required in our transportation system and the need for early and aggressive action if long-term targets are to be met.

  9. A complexity analysis of functional interpretations

    DEFF Research Database (Denmark)

    Hernest, Mircea-Dan; Kohlenbach, Ulrich

    2005-01-01

    Summary: We give a quantitative analysis of Gödel's functional     interpretation and its monotone variant. The two have been used     for the extraction of programs and numerical bounds as well as     for conservation results. They apply both to (semi-)intuitionistic     as well as (combined...... with negative translation) classical proofs.     The proofs may be formalized in systems ranging from weak base     systems to arithmetic and analysis (and numerous fragments of     these). We give upper bounds in basic proof data on the depth,     size, maximal type degree and maximal type arity...

  10. Using artificial microRNA sponges to achieve microRNA loss-of-function in cancer cells.

    Science.gov (United States)

    Tay, Felix Chang; Lim, Jia Kai; Zhu, Haibao; Hin, Lau Cia; Wang, Shu

    2015-01-01

    Widely observed dysregulation of microRNAs (miRNAs) in human cancer has led to substantial speculation regarding possible functions of these short, non-coding RNAs in cancer development and manipulation of miRNA expression to treat cancer. To achieve miRNA loss-of-function, miRNA sponge technology has been developed to use plasmid or viral vectors for intracellular expression of tandemly arrayed, bulged miRNA binding sites complementary to a miRNA target to saturate its ability to regulate natural mRNAs. A strong viral promoter can be used in miRNA sponge vectors to generate high-level expression of the competitive inhibitor transcripts for either transient or long-term inhibition of miRNA function. Taking the advantage of sharing a common seed sequence by members of a miRNA family, this technology is especially useful in knocking down the expression of a family of miRNAs, providing a powerful means for simultaneous inhibition of multiple miRNAs of interest with a single inhibitor. Knockdown of overexpressed oncogenic miRNAs with the technology can be a rational therapeutic strategy for cancer, whereas inhibition of tumor-suppressive miRNAs by the sponges will be useful in deciphering functions of miRNAs in oncogenesis. Herein, we discuss the design of miRNA sponge expression vectors and the use of the vectors to gain better understanding of miRNA's roles in cancer biology and as an alternative tool for anticancer gene therapy. Copyright © 2014 Elsevier B.V. All rights reserved.

  11. STATE-OF-THE-ART TASKS AND ACHIEVEMENTS OF PARALINGUISTIC SPEECH ANALYSIS SYSTEMS

    Directory of Open Access Journals (Sweden)

    A. A. Karpov

    2016-07-01

    Full Text Available We present analytical survey of state-of-the-art actual tasks in the area of computational paralinguistics, as well as the recent achievements of automatic systems for paralinguistic analysis of conversational speech. Paralinguistics studies non-verbal aspects of human communication and speech such as: natural emotions, accents, psycho-physiological states, pronunciation features, speaker’s voice parameters, etc. We describe architecture of a baseline computer system for acoustical paralinguistic analysis, its main components and useful speech processing methods. We present some information on an International contest called Computational Paralinguistics Challenge (ComParE, which is held each year since 2009 in the framework of the International conference INTERSPEECH organized by the International Speech Communication Association. We present sub-challenges (tasks that were proposed at the ComParE Challenges in 2009-2016, and analyze winning computer systems for each sub-challenge and obtained results. The last completed ComParE-2015 Challenge was organized in September 2015 in Germany and proposed 3 sub-challenges: 1 Degree of Nativeness (DN sub-challenge, determination of nativeness degree of speakers based on acoustics; 2 Parkinson's Condition (PC sub-challenge, recognition of a degree of Parkinson’s condition based on speech analysis; 3 Eating Condition (EC sub-challenge, determination of the eating condition state during speaking or a dialogue, and classification of consumed food type (one of seven classes of food by the speaker. In the last sub-challenge (EC, the winner was a joint Turkish-Russian team consisting of the authors of the given paper. We have developed the most efficient computer-based system for detection and classification of the corresponding (EC acoustical paralinguistic events. The paper deals with the architecture of this system, its main modules and methods, as well as the description of used training and evaluation

  12. Biosignals Analysis for Kidney Function Effect Analysis of Fennel Aromatherapy

    Science.gov (United States)

    Kim, Bong-Hyun; Cho, Dong-Uk; Seo, Ssang-Hee

    2015-01-01

    Human effort in order to enjoy a healthy life is diverse. IT technology to these analyzes, the results of development efforts, it has been applied. Therefore, I use the care and maintenance diagnostic health management and prevention than treatment. In particular, the aromatherapy treatment easy to use without the side effects there is no irritation, are widely used in modern society. In this paper, we measured the aroma effect by applying a biosignal analysis techniques; an experiment was performed to analyze. In particular, we design methods and processes of research based on the theory aroma that affect renal function. Therefore, in this paper, measuring the biosignals and after fennel aromatherapy treatment prior to the enforcement of the mutual comparison, through the analysis, studies were carried out to analyze the effect of fennel aromatherapy therapy on kidney function. PMID:25977696

  13. Creep analysis by the path function method

    International Nuclear Information System (INIS)

    Akin, J.E.; Pardue, R.M.

    1977-01-01

    The finite element method has become a common analysis procedure for the creep analysis of structures. The most recent programs are designed to handle a general class of material properties and are able to calculate elastic, plastic, and creep components of strain under general loading histories. The constant stress approach is too crude a model to accurately represent the actual behaviour of the stress for large time steps. The true path of a point in the effective stress-effective strain (sigmasup(e)-epsilonsup(c)) plane is often one in which the slope is rapidly changing. Thus the stress level quickly moves away from the initial stress level and then gradually approaches the final one. The result is that the assumed constant stress level quickly becomes inaccurate. What is required is a better method of approximation of the true path in the sigmasup(e)-epsilonsup(c) space. The method described here is called the path function approach because it employs an assumed function to estimate the motion of points in the sigmasup(e)-epsilonsup(c) space. (Auth.)

  14. Problems in real and functional analysis

    CERN Document Server

    Torchinsky, Alberto

    2015-01-01

    It is generally believed that solving problems is the most important part of the learning process in mathematics because it forces students to truly understand the definitions, comb through the theorems and proofs, and think at length about the mathematics. The purpose of this book is to complement the existing literature in introductory real and functional analysis at the graduate level with a variety of conceptual problems (1,457 in total), ranging from easily accessible to thought provoking, mixing the practical and the theoretical aspects of the subject. Problems are grouped into ten chapters covering the main topics usually taught in courses on real and functional analysis. Each of these chapters opens with a brief reader's guide stating the needed definitions and basic results in the area and closes with a short description of the problems. The Problem chapters are accompanied by Solution chapters, which include solutions to two-thirds of the problems. Students can expect the solutions to be written in ...

  15. Functional data analysis of generalized regression quantiles

    KAUST Repository

    Guo, Mengmeng

    2013-11-05

    Generalized regression quantiles, including the conditional quantiles and expectiles as special cases, are useful alternatives to the conditional means for characterizing a conditional distribution, especially when the interest lies in the tails. We develop a functional data analysis approach to jointly estimate a family of generalized regression quantiles. Our approach assumes that the generalized regression quantiles share some common features that can be summarized by a small number of principal component functions. The principal component functions are modeled as splines and are estimated by minimizing a penalized asymmetric loss measure. An iterative least asymmetrically weighted squares algorithm is developed for computation. While separate estimation of individual generalized regression quantiles usually suffers from large variability due to lack of sufficient data, by borrowing strength across data sets, our joint estimation approach significantly improves the estimation efficiency, which is demonstrated in a simulation study. The proposed method is applied to data from 159 weather stations in China to obtain the generalized quantile curves of the volatility of the temperature at these stations. © 2013 Springer Science+Business Media New York.

  16. Functional data analysis of generalized regression quantiles

    KAUST Repository

    Guo, Mengmeng; Zhou, Lan; Huang, Jianhua Z.; Hä rdle, Wolfgang Karl

    2013-01-01

    Generalized regression quantiles, including the conditional quantiles and expectiles as special cases, are useful alternatives to the conditional means for characterizing a conditional distribution, especially when the interest lies in the tails. We develop a functional data analysis approach to jointly estimate a family of generalized regression quantiles. Our approach assumes that the generalized regression quantiles share some common features that can be summarized by a small number of principal component functions. The principal component functions are modeled as splines and are estimated by minimizing a penalized asymmetric loss measure. An iterative least asymmetrically weighted squares algorithm is developed for computation. While separate estimation of individual generalized regression quantiles usually suffers from large variability due to lack of sufficient data, by borrowing strength across data sets, our joint estimation approach significantly improves the estimation efficiency, which is demonstrated in a simulation study. The proposed method is applied to data from 159 weather stations in China to obtain the generalized quantile curves of the volatility of the temperature at these stations. © 2013 Springer Science+Business Media New York.

  17. A Meta-Analysis of Self-Reported Achievement Goals and Nonself-Report Performance across Three Achievement Domains (Work, Sports, and Education)

    NARCIS (Netherlands)

    Van Yperen, Nico W.; Blaga, Monica; Postmes, Tom

    2014-01-01

    During the past three decades, the achievement goal approach to achievement motivation has emerged as an influential area of research, and is dedicated to understanding the reasons behind the individual's drive to achieve competence and performance. However, the current literature on achievement

  18. Functionalization of Cellulose Fibres with Oxygen Plasma and ZnO Nanoparticles for Achieving UV Protective Properties

    Directory of Open Access Journals (Sweden)

    Katja Jazbec

    2015-01-01

    Full Text Available Low-pressure oxygen plasma created by an electrodeless radiofrequency (RF discharge was applied to modify the properties of cellulosic fibrous polymer (cotton in order to improve adsorption properties towards zinc oxide (ZnO nanoparticles and to achieve excellent ultraviolet (UV protective properties of cotton fabric. The chemical and physical surface modifications of plasma-treated cotton fabric were examined by X-ray photoelectron spectroscopy (XPS and scanning electron microscopy (SEM. The mechanical properties of plasma-treated samples were evaluated, measuring strength and elongation of the fabrics. The quantity of zinc on the ZnO-functionalized cotton samples was determined using inductively coupled plasma mass spectrometry (ICP-MS and the effectiveness of plasma treatment for UV protective properties of cotton fabrics was evaluated using UV-VIS spectrometry, measuring the UV protection factor (UPF. The results indicated that longer plasma treatment times cause higher concentration of oxygen functional groups on the surface of fibres and higher surface roughness of fibres. These two conditions are crucial in increasing the content of ZnO nanoparticles on the fibres, providing excellent UV protective properties of treated cotton, with UPF factor up to 65.93.

  19. Imaging of brain function based on the analysis of functional ...

    African Journals Online (AJOL)

    Objective: This Study observed the relevant brain areas activated by acupuncture at the Taichong acupoint (LR3) and analyzed the functional connectivity among brain areas using resting state functional magnetic resonance imaging (fMRI) to explore the acupoint specificity of the Taichong acupoint. Methods: A total of 45 ...

  20. Achieving a Collapsible, Strong, and Highly Thermally Conductive Film Based on Oriented Functionalized Boron Nitride Nanosheets and Cellulose Nanofiber.

    Science.gov (United States)

    Wu, Kai; Fang, Jinchao; Ma, Jinrui; Huang, Rui; Chai, Songgang; Chen, Feng; Fu, Qiang

    2017-09-06

    Boron nitride nanosheet (BNNS) films receive wide attention in both academia and industry because of their high thermal conductivity (TC) and good electrical insulation capability. However, the brittleness and low strength of the BNNS film largely limit its application. Herein, functionalized BNNSs (f-BNNSs) with a well-maintained in-plane crystalline structure were first prepared utilizing urea in the aqueous solution via ball-milling for the purpose of improving their stability in water and enhancing the interaction with the polymer matrix. Then, a biodegradable and highly thermally conductive film with an orderly oriented structure based on cellulose nanofibers (CNFs) and f-BNNSs was prepared just by simple vacuum-assisted filtration. The modification of the BNNS and the introduction of the CNF result in a better orientation of the f-BNNS, sufficient connection between f-BNNS themselves, and strong interaction between f-BNNS and CNF, which not only make the prepared composite film strong and tough but also possess higher in-plane TC. An increase of 70% in-plane TC, 63.2% tensile strength, and 77.8% elongation could be achieved for CNF/f-BNNS films, compared with that for CNF/BNNS films at the filler content of 70%. Although at such a high f-BNNS content, this composite film can be bended and folded. It is even more interesting to find that the in-plane TC could be greatly enhanced with the decrease of the thickness of the film, and a value of 30.25 W/m K can be achieved at the thickness of ∼30 μm for the film containing 70 wt % f-BNNS. We believe that this highly thermally conductive film with good strength and toughness could have potential applications in next-generation highly powerful and collapsible electronic devices.

  1. Effectiveness of Computer-Assisted Mathematics Education (CAME) over Academic Achievement: A Meta-Analysis Study

    Science.gov (United States)

    Demir, Seda; Basol, Gülsah

    2014-01-01

    The aim of the current study is to determine the overall effects of Computer-Assisted Mathematics Education (CAME) on academic achievement. After an extensive review of the literature, studies using Turkish samples and observing the effects of Computer-Assisted Education (CAE) on mathematics achievement were examined. As a result of this…

  2. Analysis of Relationships among Burnout, Academic Achievement, and Self-Regulation

    Science.gov (United States)

    Duru, Erdinç; Duru, Sibel; Balkis, Murat

    2014-01-01

    This study examined the relationships among burnout, academic achievement, and self-regulation with two structural models. The participants were 383 undergraduates with different majors in a university in the western part of Turkey. The results showed that academic achievement was negatively associated with three dimensions of burnout and was…

  3. Linear Discriminant Analysis achieves high classification accuracy for the BOLD fMRI response to naturalistic movie stimuli.

    Directory of Open Access Journals (Sweden)

    Hendrik eMandelkow

    2016-03-01

    Full Text Available Naturalistic stimuli like movies evoke complex perceptual processes, which are of great interest in the study of human cognition by functional MRI (fMRI. However, conventional fMRI analysis based on statistical parametric mapping (SPM and the general linear model (GLM is hampered by a lack of accurate parametric models of the BOLD response to complex stimuli. In this situation, statistical machine-learning methods, a.k.a. multivariate pattern analysis (MVPA, have received growing attention for their ability to generate stimulus response models in a data-driven fashion. However, machine-learning methods typically require large amounts of training data as well as computational resources. In the past this has largely limited their application to fMRI experiments involving small sets of stimulus categories and small regions of interest in the brain. By contrast, the present study compares several classification algorithms known as Nearest Neighbour (NN, Gaussian Naïve Bayes (GNB, and (regularised Linear Discriminant Analysis (LDA in terms of their classification accuracy in discriminating the global fMRI response patterns evoked by a large number of naturalistic visual stimuli presented as a movie.Results show that LDA regularised by principal component analysis (PCA achieved high classification accuracies, above 90% on average for single fMRI volumes acquired 2s apart during a 300s movie (chance level 0.7% = 2s/300s. The largest source of classification errors were autocorrelations in the BOLD signal compounded by the similarity of consecutive stimuli. All classifiers performed best when given input features from a large region of interest comprising around 25% of the voxels that responded significantly to the visual stimulus. Consistent with this, the most informative principal components represented widespread distributions of co-activated brain regions that were similar between subjects and may represent functional networks. In light of these

  4. Human milk metagenome: a functional capacity analysis

    Science.gov (United States)

    2013-01-01

    Background Human milk contains a diverse population of bacteria that likely influences colonization of the infant gastrointestinal tract. Recent studies, however, have been limited to characterization of this microbial community by 16S rRNA analysis. In the present study, a metagenomic approach using Illumina sequencing of a pooled milk sample (ten donors) was employed to determine the genera of bacteria and the types of bacterial open reading frames in human milk that may influence bacterial establishment and stability in this primal food matrix. The human milk metagenome was also compared to that of breast-fed and formula-fed infants’ feces (n = 5, each) and mothers’ feces (n = 3) at the phylum level and at a functional level using open reading frame abundance. Additionally, immune-modulatory bacterial-DNA motifs were also searched for within human milk. Results The bacterial community in human milk contained over 360 prokaryotic genera, with sequences aligning predominantly to the phyla of Proteobacteria (65%) and Firmicutes (34%), and the genera of Pseudomonas (61.1%), Staphylococcus (33.4%) and Streptococcus (0.5%). From assembled human milk-derived contigs, 30,128 open reading frames were annotated and assigned to functional categories. When compared to the metagenome of infants’ and mothers’ feces, the human milk metagenome was less diverse at the phylum level, and contained more open reading frames associated with nitrogen metabolism, membrane transport and stress response (P milk metagenome also contained a similar occurrence of immune-modulatory DNA motifs to that of infants’ and mothers’ fecal metagenomes. Conclusions Our results further expand the complexity of the human milk metagenome and enforce the benefits of human milk ingestion on the microbial colonization of the infant gut and immunity. Discovery of immune-modulatory motifs in the metagenome of human milk indicates more exhaustive analyses of the functionality of the human

  5. Climate cure 2020 measures and instruments to achieve Norwegian climate goals by 2020. Chapter 10 - the transport sector analysis

    Energy Technology Data Exchange (ETDEWEB)

    2010-11-15

    This document is a translation of Chapter 10, Sector analysis of transport, in the Norwegian report Climate Cure 2020, Measures and Instruments for Achieving Norwegian Climate Goals by 2020. The sector analysis has been prepared by an inter agency working group, conducted by the Norwegian Public Road Administration. (Author)

  6. A Framework for Achieving Situational Awareness during Crisis based on Twitter Analysis

    Science.gov (United States)

    Zielinski, Andrea; Tokarchuk, Laurissa; Middleton, Stuart; Chaves, Fernando

    2013-04-01

    Decision Support Systems for Natural Crisis Management increasingly employ Web 2.0 and 3.0 technologies for future collaborative decision making, including the use of social networks like Twitter. However, human sensor data is not readily accessible and interpretable, since the texts are unstructured, noisy and available in various languages. The present work focusses on the detection of crisis events in a multilingual setting as part of the FP7-funded EU project TRIDEC and is motivated by the goal to establish a Tsunami warning system for the Mediterranean. It is integrated into a dynamic spatial-temporal decision making component with a command and control unit's graphical user interface that presents all relevant information to the human operator to support critical decision-support. To this end, a tool for the interactive visualization of geospatial data is implemented: All tweets with an exact timestamp or geo-location are monitored on the map in real-time so that the operator on duty can get an overall picture of the situation. Apart from the human sensor data, the seismic sensor data will appear also on the same screen. Signs of abnormal activity from twitter usage in social networks as well as in sensor networks devices can then be used to trigger official warning alerts according to the CAP message standard. Whenever a certain threshold of relevant tweets in a HASC region (Hierarchical Administrative Subdivision Code) is exceeded, the twitter activity in this administrative region will be shown on a map. We believe that the following functionalities are crucial for monitoring crisis, making use of text mining and network analysis techniques: Focussed crawling, trustworthyness analysis geo-parsing, and multilingual tweet classification. In the first step, the Twitter Streaming API accesses the social data, using an adaptive keyword list (focussed crawling). Then, tweets are filtered and aggregated to form counts for a certain time-span (e.g., an interval of

  7. Correspondence between Traditional Models of Functional Analysis and a Functional Analysis of Manding Behavior

    Science.gov (United States)

    LaRue, Robert H.; Sloman, Kimberly N.; Weiss, Mary Jane; Delmolino, Lara; Hansford, Amy; Szalony, Jill; Madigan, Ryan; Lambright, Nathan M.

    2011-01-01

    Functional analysis procedures have been effectively used to determine the maintaining variables for challenging behavior and subsequently develop effective interventions. However, fear of evoking dangerous topographies of maladaptive behavior and concerns for reinforcing infrequent maladaptive behavior present challenges for people working in…

  8. Gender differences in mathematics achievement in Beijing: A meta-analysis.

    Science.gov (United States)

    Li, Meijuan; Zhang, Yongmei; Liu, Hongyun; Hao, Yi

    2017-12-19

    The topic of gender differences in mathematical performance has received considerable attention in the fields of education, sociology, economics and psychology. We analysed gender differences based on data from the Beijing Assessment of Educational Quality in China. A large data set of Grade 5 and Grade 8 students who took the mathematical test from 2008 to 2013 (n = 73,318) were analysed. Meta-analysis was used in this research. The findings were as follows. (1) No gender differences in mathematical achievement exist among students in Grade 5, relatively small gender differences exist in Grade 8, females scored higher than males, and variance of male students is larger than that of females in both Grade 5 and Grade 8. (2) Except for statistics and probability, gender differences in other domains in Grade 8 are significantly higher than those in Grade 5, and female students outperform males. (3) The ratio of students of both gender in Grade 5 and Grade 8 at the 95-100% percentile level shows no significant differences. However, the ratio of male students is significantly higher than that of females at the 0-5% percentile level. (4) In Grade 5, the extent to which females outperformed males in low SES group is larger than that in higher SES groups, and in Grade 8, the magnitude of gender differences in urban schools is smaller than that in rural schools. There is a small gender difference among the 8th graders, with the male disadvantage at the bottom of the distribution. And gender differences also vary across school locations. © 2017 The British Psychological Society.

  9. An Analysis of Java Programming Behaviors, Affect, Perceptions, and Syntax Errors among Low-Achieving, Average, and High-Achieving Novice Programmers

    Science.gov (United States)

    Rodrigo, Ma. Mercedes T.; Andallaza, Thor Collin S.; Castro, Francisco Enrique Vicente G.; Armenta, Marc Lester V.; Dy, Thomas T.; Jadud, Matthew C.

    2013-01-01

    In this article we quantitatively and qualitatively analyze a sample of novice programmer compilation log data, exploring whether (or how) low-achieving, average, and high-achieving students vary in their grasp of these introductory concepts. High-achieving students self-reported having the easiest time learning the introductory programming…

  10. A Multilevel, Longitudinal Analysis of Middle School Math and Language Achievement

    Directory of Open Access Journals (Sweden)

    Keith Zvoch

    2003-07-01

    Full Text Available The performance of schools in a large urban school district was examined using achievement data from a longitudinally matched cohort of middle school students. Schools were evaluated in terms of the mean achievement and mean growth of students in mathematics and language arts. Application of multilevel, longitudinal models to student achievement data revealed that 1 school performance varied across both outcome measures in both subject areas, 2 significant proportions of variation were associated with school-to-school differences in performance, 3 evaluations of school performance differed depending on whether school mean achievement or school mean growth in achievement was examined, and 4 school mean achievement was a weak predictor of school mean growth. These results suggest that assessments of school performance depend on choices of how data are modeled and analyzed. In particular, the present study indicates that schools with low mean scores are not always “poor performing” schools. Use of student growth rates to evaluate school performance enables schools that would otherwise be deemed low performing to demonstrate positive effects on student achievement. Implications for state accountability systems are discussed.

  11. The Effect of Self-Regulated Learning Strategies on Academic Achievement: A Meta-Analysis Study

    Science.gov (United States)

    Ergen, Binnur; Kanadli, Sedat

    2017-01-01

    Problem Statement: Self-regulated learning strategies (cognitive, metacognitive, resource management, and motivational strategies) influence students' academic achievement, conceptual understanding, and motivation. Reviewing the national literature about self-regulated learning strategies, studies have indicated both significant and insignificant…

  12. Position Paper: Applying Machine Learning to Software Analysis to Achieve Trusted, Repeatable Scientific Computing

    Energy Technology Data Exchange (ETDEWEB)

    Prowell, Stacy J [ORNL; Symons, Christopher T [ORNL

    2015-01-01

    Producing trusted results from high-performance codes is essential for policy and has significant economic impact. We propose combining rigorous analytical methods with machine learning techniques to achieve the goal of repeatable, trustworthy scientific computing.

  13. Fiscal 2000 research achievement report on the development of super-advanced liquid crystal technology for energy use rationalization. Development promotion project for super-advanced electronic technology - Design, control, analysis, etc., of electronic materials having novel functions; 2000 nendo energy shiyo gorika chosentan ekisho gijutsu kaihatsu seika hokokusho. Chosentan denshi gijutsu kaihatsu sokushin jigyo (shinkino denshi zairyo sekkei seigyo bunseki nado gijutsu)

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    2001-04-01

    Efforts are focused on the verification of target devices under the respective subjects, and activities are conducted with the development system reinforced. Three newly proposed reflection type liquid crystal devices achieve the target specifications of a reflection factor of 60% or higher and a contrast ratio of 15:1 or higher. Studies are conducted involving the five fields of (1) multilayer reflection devices, (2) memory retention liquid crystal devices, (3) single pixel color devices, (4) directional reflection devices, and (5) joint research. Research and development in field (1) covers ultra-anisotropic optical materials, ultrahigh reliability host liquid crystal materials for guest-host liquid crystals - mixed system, low voltage driven/high load holding liquid crystal compound systems, and new liquid crystal molecule orientation control technology; in field (2), low temperature fabrication of ferroelectric thin film, and ultrahigh purity high reliability liquid crystal compounds; in field (3), materials capable of controlling optical interference and higher order light scattering, photoregulation devices, highly birefringent liquid crystal materials - mixed system, and ultrahigh efficiency light scattering liquid crystal compounds; and, in field (4), multi-dimensional anisotropic structure fabrication technology and ultra-anisotropic optical materials. (NEDO)

  14. Can Research Design Explain Variation in Head Start Research Results? A Meta-Analysis of Cognitive and Achievement Outcomes

    Science.gov (United States)

    Shager, Hilary M.; Schindler, Holly S.; Magnuson, Katherine A.; Duncan, Greg J.; Yoshikawa, Hirokazu; Hart, Cassandra M. D.

    2013-01-01

    This study explores the extent to which differences in research design explain variation in Head Start program impacts. We employ meta-analytic techniques to predict effect sizes for cognitive and achievement outcomes as a function of the type and rigor of research design, quality and type of outcome measure, activity level of control group, and…

  15. Development of pair distribution function analysis

    International Nuclear Information System (INIS)

    Vondreele, R.; Billinge, S.; Kwei, G.; Lawson, A.

    1996-01-01

    This is the final report of a 3-year LDRD project at LANL. It has become more and more evident that structural coherence in the CuO 2 planes of high-T c superconducting materials over some intermediate length scale (nm range) is important to superconductivity. In recent years, the pair distribution function (PDF) analysis of powder diffraction data has been developed for extracting structural information on these length scales. This project sought to expand and develop this technique, use it to analyze neutron powder diffraction data, and apply it to problems. In particular, interest is in the area of high-T c superconductors, although we planned to extend the study to the closely related perovskite ferroelectric materials andother materials where the local structure affects the properties where detailed knowledge of the local and intermediate range structure is important. In addition, we planned to carry out single crystal experiments to look for diffuse scattering. This information augments the information from the PDF

  16. Introducing trimming and function ranking to Solid Works based on function analysis

    NARCIS (Netherlands)

    Chechurin, Leonid S.; Wits, Wessel Willems; Bakker, Hans M.; Cascini, G.; Vaneker, Thomas H.J.

    2011-01-01

    TRIZ based Function Analysis models existing products based on functional interactions between product parts. Such a function model description is the ideal starting point for product innovation. Design engineers can apply (TRIZ) methods such as trimming and function ranking to this function model

  17. Introducing Trimming and Function Ranking to SolidWorks based on Function Analysis

    NARCIS (Netherlands)

    Chechurin, L.S.; Wits, Wessel Willems; Bakker, Hans M.; Vaneker, Thomas H.J.

    2015-01-01

    TRIZ based Function Analysis models existing products based on functional interactions between product parts. Such a function model description is the ideal starting point for product innovation. Design engineers can apply (TRIZ) methods such as trimming and function ranking to this function model

  18. Cross-National Estimates of the Effects of Family Background on Student Achievement: A Sensitivity Analysis

    Science.gov (United States)

    Nonoyama-Tarumi, Yuko

    2008-01-01

    This article uses the data from the Programme for International Student Assessment (PISA) 2000 to examine whether the influence of family background on educational achievement is sensitive to different measures of the family's socio-economic status (SES). The study finds that, when a multidimensional measure of SES is used, the family background has a stronger influence on achievement across countries than if the simpler measure of SES is used. The new measure, which incorporated aspects of parental occupation, education and cultural resources, was not biased towards more wealthy nations, Western nations, or urban population. However, when a proxy of wealth was included in the measure of SES, this reduced the other measured effects of family background on achievement in many countries.

  19. Analysis of Discrete Mittag - Leffler Functions

    Directory of Open Access Journals (Sweden)

    N. Shobanadevi

    2015-03-01

    Full Text Available Discrete Mittag - Leffler functions play a major role in the development of the theory of discrete fractional calculus. In the present article, we analyze qualitative properties of discrete Mittag - Leffler functions and establish sufficient conditions for convergence, oscillation and summability of the infinite series associated with discrete Mittag - Leffler functions.

  20. Monogenic functions with parameters in Clifford analysis

    International Nuclear Information System (INIS)

    Le Hung Son.

    1990-02-01

    In this paper we study some properties of monogenic functions taking values in a Clifford algebra and depending on several parameters. It is proved that the Hartogs extension theorems are valid for these functions and for the multi-monogenic functions, which contain solutions of many important systems of partial differential equations in Theoretical Physics. (author). 4 refs

  1. The moderating effect of self-efficacy on normal-weight, overweight, and obese children's math achievement: a longitudinal analysis.

    Science.gov (United States)

    Kranjac, Ashley Wendell

    2015-03-01

    Increased body weight is associated with decreased cognitive function in school-aged children. The role of self-efficacy in shaping the connection between children's educational achievement and obesity-related comorbidities has not been examined to date. Evidence of the predictive ability of self-efficacy in children is demonstrated in cognitive tasks, including math achievement scores. This study examined the relationship between self-efficacy and math achievement in normal weight, overweight, and obese children. I hypothesized that overweight and obese children with higher self-efficacy will be less affected in math achievement than otherwise comparable children with lower self-efficacy. I tested this prediction with multilevel growth modeling techniques using the ECLS-K 1998-1999 survey data, a nationally representative sample of children. Increased self-efficacy moderates the link between body weight and children's math achievement by buffering the risks that increased weight status poses to children's cognitive function. My findings indicate that self-efficacy moderates math outcomes in overweight, but not obese, children. Copyright © 2015 Elsevier Ltd. All rights reserved.

  2. The effects of functional group counseling on inspiring low-achieving students' self-worth and self-efficacy in Taiwan.

    Science.gov (United States)

    Hong, Zuway-R; Lin, Huann-shyang; Wang, Hsin-Hui; Chen, Hsiang-Ting; Yu, Tien-chi

    2012-01-01

    In this study, we investigated the effects of functional group counseling on inspiring low achievers' self-worth and self-efficacy in Taiwan. Forty-three 10th grade low-achieving students volunteered as the Experimental Group to join a 24-week intervention, which integrated and utilized functional group counseling; another 51 10th grade low-achieving students volunteered to be Comparison Group I. In addition, 43 10th grade moderate or high academic achieving students volunteered to be Comparison Group II. All participants completed the Vocational School Student Questionnaire at the beginning and end of this study to measure their self-worth and self-efficacy. In addition, six target students (two boys and four girls) with the lowest total scores on self-worth or self-efficacy in the pretest were selected from the Experimental Group to be interviewed at the end of the intervention and observed weekly. Analyses of variance, analyses of covariance, and paired t-tests assessed the similarity and differences among groups. The initial findings were as follows: Experimental group students had significantly higher scores on self-efficacy and self-worth than both Comparison Group I and Group II students and functional group counseling was shown to significantly affect the low-achieving students. Qualitative results from interviews and observations were used for triangulation and consolidation of quantitative results. Implications of the study included the recommended use of functional group counseling with low-achieving students.

  3. The Moderating Role of Popular Peers' Achievement Goals in 5th- and 6th-Graders' Achievement-Related Friendships: A Social Network Analysis

    Science.gov (United States)

    Laninga-Wijnen, Lydia; Ryan, Allison M.; Harakeh, Zeena; Shin, Huiyoung; Vollebergh, Wilma A. M.

    2018-01-01

    This research investigated whether classroom-based peer norms for achievement goals moderate friendship selection, maintenance and influence processes related to academic achievement in 46 Grade 5 and Grade 6 classrooms (N = 901, 58.7% Grade 5 students, 48.5% boys). A distinction was made between peer norms for mastery (i.e., developing…

  4. The Moderating Role of Popular Peers’ Achievement Goals in 5th- and 6th- graders Achievement-related Friendships : A Social Network Analysis

    NARCIS (Netherlands)

    Wijnen, A.M.; Ryan, Allison; Harakeh, Z.; Shin, Huiyoung; Vollebergh, W.A.M.

    This research investigated whether classroom-based peer norms for achievement goals moderate friendship selection, maintenance and influence processes related to academic achievement in 46 5th and 6th grade classrooms (N = 901, 58.7% 5th grade students, 48.5% boys). A distinction was made between

  5. The Family Environment and Achievement of Deaf Students: A Discriminant Analysis.

    Science.gov (United States)

    Bodner-Johnson, Barbara

    1986-01-01

    Parental responses (N=125) to scaled items in home interviews were factor analyzed and family environment dimensions were employed as predictor variables. Parents of proficient readers were characterized as adapted to their children's deafness, involved in the deaf community, and permissive rather than overprotective. High achievers had parents…

  6. An Analysis of the Relationship of Perceived Principal Instructional Leadership Behaviors and Student Academic Achievement

    Science.gov (United States)

    Schindler, Kerry Andrew

    2012-01-01

    The primary purpose of the present study was to determine if a relationship existed between perceived instructional leadership behaviors of high school principals and student academic achievement. A total of 124 principals and 410 teachers representing 75 high school campuses completed the School Leadership Behaviors Survey (SLBS), an instrument…

  7. Teacher Salary and National Achievement: A Cross-National Analysis of 30 Countries

    Science.gov (United States)

    Akiba, Motoko; Chiu, Yu-Lun; Shimizu, Kazuhiko; Liang, Guodong

    2012-01-01

    Using national teacher salary data from the Organisation for Economic Co-operation and Development (OECD) and student achievement data from the Programme for International Student Assessment (PISA), this study compared secondary school teacher salary in 30 countries and examined the relationship between average teacher salary and national…

  8. Financial Aid Tipping Points: An Analysis of Aid and Academic Achievement at a California Community College

    Science.gov (United States)

    Coria, Elizabeth; Hoffman, John L.

    2016-01-01

    The purpose of this study was to explore relationships between financial aid awards and measures of student academic achievement. Financial aid and academic records for 11,956 students attending an urban California community college were examined and analyzed using simultaneous linear regression and two-way factorial ANOVAs. Findings revealed a…

  9. Analysis of Attitude and Achievement Using the 5E Instructional Model in an Interactive Television Environment

    Science.gov (United States)

    Cherry, Gamaliel R.

    2011-01-01

    The purpose of this quasi-experimental study was to examine attitude and achievement among fifth grade students participating in inquiry and lecture-based forms of instruction through interactive television. Participants (N = 260) were drawn from registered users of NASA's Digital Learning Network[TM]. The first three levels of Bloom's Revised…

  10. Searching for the Golden Model of Education: Cross-National Analysis of Math Achievement

    Science.gov (United States)

    Bodovski, Katerina; Byun, Soo-yong; Chykina, Volha; Chung, Hee Jin

    2017-01-01

    We utilised four waves of TIMSS data in addition to the information we have collected on countries' educational systems to examine whether different degrees of standardisation, differentiation, proportion of students in private schools and governmental spending on education influence students' math achievement, its variation and socioeconomic…

  11. A Descriptive Analysis of the Relationship Between Academic Ability and Achievement of Middlesex Community College Students.

    Science.gov (United States)

    Lee, Glenda E.

    The purpose of this study was to determine if there was a relationship between the academic achievement and academic ability of students who did and those who did not request assistance in reading. Subjects used in the study were 416 entering students at Middlesex Community College in the fall of 1973. Responses on tests of reading ability,…

  12. Determinants of Learning Achievements: Empirical Analysis of Seven Schools in Cambodian Primary School

    Science.gov (United States)

    Ishiguro, Kaoru

    2018-01-01

    This paper examines the determinants of learning achievements in Cambodian primary schools. Both student factors and family factors are evaluated. The student factors consist of student age, enrollment age, frequency of homework completion, and number of questions to ask in class. The family factors include the father's educational background,…

  13. The Effectiveness of Education Technology for Enhancing Reading Achievement: A Meta-Analysis

    Science.gov (United States)

    Cheung, Alan C. K.; Slavin, Robert E.

    2011-01-01

    The present review examines research on the effects of technology use on reading achievement in K-12 classrooms. Unlike previous reviews, this review applies consistent inclusion standards to focus on studies that met high methodological standards. In addition, methodological and substantive features of the studies are investigated to examine the…

  14. Music Education in the 21st Century in the United Kingdom: Achievements, Analysis and Aspirations

    Science.gov (United States)

    Hallam, Susan, Ed.; Creech, Andrea. Ed.

    2010-01-01

    The landscape of music education in the UK is constantly shifting and developing. This book provides a timely and unique overview of this restless sector by considering the achievements of music education, analysing its current performance and setting out aspirations for the future. "Music Education in the 21st Century in the United…

  15. Academic Emphasis of Urban Elementary Schools and Student Achievement in Reading and Mathematics: A Multilevel Analysis.

    Science.gov (United States)

    Goddard, Roger D.; Sweetland, Scott R.; Hoy, Wayne K.

    2000-01-01

    Examines importance of a school climate characterized by high levels of academic emphasis. Drawing on effective-schools research and social-cognitive theory, uses hierarchical linear modeling to show that academic emphasis accounts for differences among urban elementary schools in student math and reading achievement. (Contains 48 references.)…

  16. Emotions, Self-Regulated Learning, and Achievement in Mathematics: A Growth Curve Analysis

    Science.gov (United States)

    Ahmed, Wondimu; van der Werf, Greetje; Kuyper, Hans; Minnaert, Alexander

    2013-01-01

    The purpose of the current study was twofold: (a) to investigate the developmental trends of 4 academic emotions (anxiety, boredom, enjoyment, and pride) and (b) to examine whether changes in emotions are linked to the changes in students' self-regulatory strategies (shallow, deep, and meta-cognitive) and achievement in mathematics. Four hundred…

  17. A meta-analysis of the impact of situationally induced achievement goals on task performance

    NARCIS (Netherlands)

    Van Yperen, Nico W.; Blaga, Monica; Postmes, Thomas

    2015-01-01

    The purpose of this research was to meta-analyze studies which experimentally induced an achieve- ment goal state to examine its causal effect on the individual’s performance at the task at hand, and to investigate the moderator effects of feedback anticipation and time pressure. The data set

  18. Analysis of Frequency of Tests and Varying Feedback Delays in College Mathematics Achievement

    Science.gov (United States)

    Townsend, Neal R.; Wheatley, Grayson H.

    1975-01-01

    Sixteen beginning analytic geometry and calculus classes (442 students) followed eight testing regimes for one academic quarter. Three aptitude subgroups were identified in each class. Classes to which daily quizzes were given achieved significantly higher on a specially constructed test than those which had only a single midterm examination.…

  19. Analysis of Learning Achievement and Teacher-Student Interactions in Flipped and Conventional Classrooms

    Science.gov (United States)

    Sun, Jerry Chih-Yuan; Wu, Yu-Ting

    2016-01-01

    This study aimed to investigate the effectiveness of two different teaching methods on learning effectiveness. OpenCourseWare was integrated into the flipped classroom model (experimental group) and distance learning (control group). Learning effectiveness encompassed learning achievement, teacher-student interactions, and learning satisfaction.…

  20. Efficacy of the Cooperative Learning Method on Mathematics Achievement and Attitude: A Meta-Analysis Research

    Science.gov (United States)

    Capar, Gulfer; Tarim, Kamuran

    2015-01-01

    This research compiles experimental studies from 1988 to 2010 that examined the influence of the cooperative learning method, as compared with that of traditional methods, on mathematics achievement and on attitudes towards mathematics. The related field was searched using the following key words in Turkish "matematik ve isbirlikli ögrenme,…

  1. Achievement Goal Orientations and Subjective Well-Being: A Person-Centred Analysis

    Science.gov (United States)

    Tuominen-Soini, Heta; Salmela-Aro, Katariina; Niemivirta, Markku

    2008-01-01

    This study examined whether students with different achievement goal orientation profiles differ in terms of subjective well-being (i.e., self-esteem, depressive symptoms, school-related burnout, and educational goal appraisals). Six groups of students with unique motivational profiles were identified. Observed differences in subjective well-being…

  2. Parent Involvement and Science Achievement: A Cross-Classified Multilevel Latent Growth Curve Analysis

    Science.gov (United States)

    Johnson, Ursula Y.; Hull, Darrell M.

    2014-01-01

    The authors examined science achievement growth at Grades 3, 5, and 8 and parent school involvement at the same time points using the Early Childhood Longitudinal Study-Kindergarten Class of 1998-1999. Data were analyzed using cross-classified multilevel latent growth curve modeling with time invariant and varying covariates. School-based…

  3. Effects of Mobile Devices on K-12 Students' Achievement: A Meta-Analysis

    Science.gov (United States)

    Tingir, S.; Cavlazoglu, B.; Caliskan, O.; Koklu, O.; Intepe-Tingir, S.

    2017-01-01

    In this meta-analytic study, we investigated the effects of mobile devices on student achievement in science, mathematics and reading in grades K-12. Based on our inclusion criteria, we searched the ERIC and PsycINFO databases and identified 14 peer-reviewed research articles published between 2010 and 2014. We identified the device type, subject…

  4. A Cross-Cultural Analysis of Achievement and Social Goals among Chinese and Filipino Students

    Science.gov (United States)

    King, Ronnel B.; Ganotice, Fraide A.; Watkins, David A.

    2014-01-01

    We examined how achievement (mastery and performance) and social goals (affiliation, approval, concern, and status) influenced various learning outcomes in two collectivist cultures. Filipino (n = 355) and Hong Kong Chinese (n = 697) secondary students answered the relevant questionnaires. Regression analyses using mastery, performance, and social…

  5. Exploring the Peer Interaction Effects on Learning Achievement in a Social Learning Platform Based on Social Network Analysis

    Science.gov (United States)

    Lin, Yu-Tzu; Chen, Ming-Puu; Chang, Chia-Hu; Chang, Pu-Chen

    2017-01-01

    The benefits of social learning have been recognized by existing research. To explore knowledge distribution in social learning and its effects on learning achievement, we developed a social learning platform and explored students' behaviors of peer interactions by the proposed algorithms based on social network analysis. An empirical study was…

  6. Longitudinal Analysis of the Role of Perceived Self-Efficacy for Self-Regulated Learning in Academic Continuance and Achievement

    Science.gov (United States)

    Caprara, Gian Vittorio; Fida, Roberta; Vecchione, Michele; Del Bove, Giannetta; Vecchio, Giovanni Maria; Barbaranelli, Claudio; Bandura, Albert

    2008-01-01

    The present study examined the developmental course of perceived efficacy for self-regulated learning and its contribution to academic achievement and likelihood of remaining in school in a sample of 412 Italian students (48% males and 52% females ranging in age from 12 to 22 years). Latent growth curve analysis revealed a progressive decline in…

  7. Effects of a Gluten-Free Diet on Rate of Achievement in Autistic Children in an Applied Behavioral Analysis Program.

    Science.gov (United States)

    Gemmell, Melissa; Chambliss, Catherine

    This study used both between-subjects and within-subjects analyses to examine the effects of a gluten-free diet on the academic achievement of autistic children. The between-subjects analysis included data from eight autistic children (ages 5 to 7) with four on a gluten-free diet and four serving as controls. The number of attempts needed before…

  8. Contracting Out Government Procurement Functions: An Analysis

    National Research Council Canada - National Science Library

    Lamm, David; Yoder, Cory

    2008-01-01

    ...)), asked the Naval Postgraduate School (NPS) to analyze the contracting out of procurement functions currently being accomplished by Navy, Marine Corps, and other Department of Defense (DOD) Activities...

  9. Some Supplementary Methods for the Analysis of the Delis-Kaplan Executive Function System

    Science.gov (United States)

    Crawford, John R.; Garthwaite, Paul H.; Sutherland, David; Borland, Nicola

    2011-01-01

    Supplementary methods for the analysis of the Delis-Kaplan Executive Function System (Delis, Kaplan, & Kramer, 2001) are made available, including (a) quantifying the number of abnormally low achievement scores exhibited by an individual and accompanying this with an estimate of the percentage of the normative population expected to exhibit at…

  10. Self-concept of academic ability as a function of sex, age, and academic achievement among African adolescents.

    Science.gov (United States)

    Mboya, M M

    1998-08-01

    This study examined (a) sex and age variations for scores on Self-concept of Academic Ability and academic achievement among 244 African adolescents attending a coeducational high school and (b) correlations between scores on Self-concept of Academic Ability and academic achievement by sex and age. No significant sex differences were found, but there were significant age differences on the Self-concept scores and measures of English, science, and history but not in mathematics. A significant positive correlation was found between Self-concept scores and academic achievement for boys and girls and in all age groups, but the magnitude of the correlations with achievement in mathematics was stronger among boys than among girls.

  11. Functional analysis of systems for the project AP-600

    International Nuclear Information System (INIS)

    Fernandez, L.A.; Lopez, A.; Gayo, C.; Garcia, A.

    1993-01-01

    A methodology to carry out functional analysis of AP-600 is given. This analysis allows to optimize the Control Room design. The final result of the functional analysis will be: 1) set of date recording formats conveniently fulfilled will ensure coherent information. 2) A functional structure where tasks associated to the different functional the system are represented. 3) An analysis of tasks where all data necessary to perform a task will be identified. With this analysis it is guaranteed that all operator necessities and machine demands are contemplated and coordinated by control room design. 4) Allocation of tasks man/machine which allows an optimum and safe plant exploitation

  12. Divorce, approaches to learning, and children's academic achievement: a longitudinal analysis of mediated and moderated effects.

    Science.gov (United States)

    Anthony, Christopher J; DiPerna, James Clyde; Amato, Paul R

    2014-06-01

    Data from the Early Childhood Longitudinal Study--Kindergarten Cohort (ECLS-K) were used to test the hypothesis that approaches to learning (ATL) mediates the link between parental divorce and academic achievement. Fixed effects regression was utilized to test for mediation, and subsequent moderation analyses examining gender and age at time of divorce also were conducted. Results indicated that divorce was associated with less growth in test scores and that ATL mediated 18% and 12% of this association in reading and mathematics respectively. Parental divorce also was associated with larger negative effects for children who experienced divorce at an older age as well as for girls' mathematics test scores. These findings contribute to the understanding of the impact of parental divorce on children's academic achievement and underscore the importance of focusing on the variability of child outcomes following parental divorce. Copyright © 2014 Society for the Study of School Psychology. Published by Elsevier Ltd. All rights reserved.

  13. Memory-efficient analysis of dense functional connectomes

    Directory of Open Access Journals (Sweden)

    Kristian Loewe

    2016-11-01

    Full Text Available The functioning of the human brain relies on the interplay and integration of numerous individual units within a complex network. To identify network configurations characteristic of specific cognitive tasks or mental illnesses, functional connectomes can be constructed based on the assessment of synchronous fMRI activity at separate brain sites, and then analyzed using graph-theoretical concepts. In most previous studies, relatively coarse parcellations of the brain were used to define regions as graphical nodes. Such parcellated connectomes are highly dependent on parcellation quality because regional and functional boundaries need to be relatively consistent for the results to be interpretable. In contrast, dense connectomes are not subject to this limitation, since the parcellation inherent to the data is used to define graphical nodes, also allowing for a more detailed spatial mapping of connectivity patterns. However, dense connectomes are associated with considerable computational demands in terms of both time and memory requirements. The memory required to explicitly store dense connectomes in main memory can render their analysis infeasible, especially when considering high-resolution data or analyses across multiple subjects or conditions. Here, we present an object-based matrix representation that achieves a very low memory footprint by computing matrix elements on demand instead of explicitly storing them. In doing so, memory required for a dense connectome is reduced to the amount needed to store the underlying time series data. Based on theoretical considerations and benchmarks, different matrix object implementations and additional programs (based on available Matlab functions and Matlab-based third-party software are compared with regard to their computational efficiency in terms of memory requirements and computation time. The matrix implementation based on on-demand computations has very low memory requirements thus enabling

  14. Memory-Efficient Analysis of Dense Functional Connectomes.

    Science.gov (United States)

    Loewe, Kristian; Donohue, Sarah E; Schoenfeld, Mircea A; Kruse, Rudolf; Borgelt, Christian

    2016-01-01

    The functioning of the human brain relies on the interplay and integration of numerous individual units within a complex network. To identify network configurations characteristic of specific cognitive tasks or mental illnesses, functional connectomes can be constructed based on the assessment of synchronous fMRI activity at separate brain sites, and then analyzed using graph-theoretical concepts. In most previous studies, relatively coarse parcellations of the brain were used to define regions as graphical nodes. Such parcellated connectomes are highly dependent on parcellation quality because regional and functional boundaries need to be relatively consistent for the results to be interpretable. In contrast, dense connectomes are not subject to this limitation, since the parcellation inherent to the data is used to define graphical nodes, also allowing for a more detailed spatial mapping of connectivity patterns. However, dense connectomes are associated with considerable computational demands in terms of both time and memory requirements. The memory required to explicitly store dense connectomes in main memory can render their analysis infeasible, especially when considering high-resolution data or analyses across multiple subjects or conditions. Here, we present an object-based matrix representation that achieves a very low memory footprint by computing matrix elements on demand instead of explicitly storing them. In doing so, memory required for a dense connectome is reduced to the amount needed to store the underlying time series data. Based on theoretical considerations and benchmarks, different matrix object implementations and additional programs (based on available Matlab functions and Matlab-based third-party software) are compared with regard to their computational efficiency. The matrix implementation based on on-demand computations has very low memory requirements, thus enabling analyses that would be otherwise infeasible to conduct due to

  15. A Didactic Analysis of Functional Queues

    Science.gov (United States)

    Rinderknecht, Christian

    2011-01-01

    When first introduced to the analysis of algorithms, students are taught how to assess the best and worst cases, whereas the mean and amortized costs are considered advanced topics, usually saved for graduates. When presenting the latter, aggregate analysis is explained first because it is the most intuitive kind of amortized analysis, often…

  16. Induced Neural Stem Cells Achieve Long-Term Survival and Functional Integration in the Adult Mouse Brain

    Directory of Open Access Journals (Sweden)

    Kathrin Hemmer

    2014-09-01

    Full Text Available Differentiated cells can be converted directly into multipotent neural stem cells (i.e., induced neural stem cells [iNSCs]. iNSCs offer an attractive alternative to induced pluripotent stem cell (iPSC technology with regard to regenerative therapies. Here, we show an in vivo long-term analysis of transplanted iNSCs in the adult mouse brain. iNSCs showed sound in vivo long-term survival rates without graft overgrowths. The cells displayed a neural multilineage potential with a clear bias toward astrocytes and a permanent downregulation of progenitor and cell-cycle markers, indicating that iNSCs are not predisposed to tumor formation. Furthermore, the formation of synaptic connections as well as neuronal and glial electrophysiological properties demonstrated that differentiated iNSCs migrated, functionally integrated, and interacted with the existing neuronal circuitry. We conclude that iNSC long-term transplantation is a safe procedure; moreover, it might represent an interesting tool for future personalized regenerative applications.

  17. Induced neural stem cells achieve long-term survival and functional integration in the adult mouse brain.

    Science.gov (United States)

    Hemmer, Kathrin; Zhang, Mingyue; van Wüllen, Thea; Sakalem, Marna; Tapia, Natalia; Baumuratov, Aidos; Kaltschmidt, Christian; Kaltschmidt, Barbara; Schöler, Hans R; Zhang, Weiqi; Schwamborn, Jens C

    2014-09-09

    Differentiated cells can be converted directly into multipotent neural stem cells (i.e., induced neural stem cells [iNSCs]). iNSCs offer an attractive alternative to induced pluripotent stem cell (iPSC) technology with regard to regenerative therapies. Here, we show an in vivo long-term analysis of transplanted iNSCs in the adult mouse brain. iNSCs showed sound in vivo long-term survival rates without graft overgrowths. The cells displayed a neural multilineage potential with a clear bias toward astrocytes and a permanent downregulation of progenitor and cell-cycle markers, indicating that iNSCs are not predisposed to tumor formation. Furthermore, the formation of synaptic connections as well as neuronal and glial electrophysiological properties demonstrated that differentiated iNSCs migrated, functionally integrated, and interacted with the existing neuronal circuitry. We conclude that iNSC long-term transplantation is a safe procedure; moreover, it might represent an interesting tool for future personalized regenerative applications. Copyright © 2014 The Authors. Published by Elsevier Inc. All rights reserved.

  18. Functional analysis for complex systems of nuclear fusion plant

    International Nuclear Information System (INIS)

    Pinna, Tonio; Dongiovanni, Danilo Nicola; Iannone, Francesco

    2016-01-01

    Highlights: • Functional analysis for complex systems. • Functional Flow Block Diagrams (FFBD). • IDEFØ diagrams. • Petri Net algorithm - Abstract: In system engineering context, a functional analysis is the systematic process of identifying, describing and correlating the functions a system must perform in order to be successful at any foreseen life-cycle phase or operational state/mode. By focusing on what the system must do disregarding the implementation, the functional analysis supports an unbiased system requirement allocation analysis. The system function architecture is defined in terms of process, protection (interlock) or nuclear safety functions. Then, the system functions are analyzed from several points of view in order to highlight the various pieces of information defining the way the system is designed to accomplish its mission as defined in the system requirement documents. The process functional flow is identified and represented by Functional Flow Block Diagrams (FFBD) while the system function interfaces are identified and represented by IDEFØ diagrams. Function interfaces are defined as relationships across identified functions in terms of function input (from other functions or requirements), output (added value or outcome of the function), controls (from other functions or systems) and mechanisms necessary to fulfill the function. The function architecture is further detailed by considering for each function: a) the phase of application, b) the actions performed c) the controlled variable and control actions to be foreseen in the implementation of the functions, d) the system involved in the control action, e) the equipment involved in the function, f) the requirements allocated to the function. The methodology here presented are suggested for the designing of fusion facilities and reactors already from the first phases of the pre-conceptual design, as it is now for DEMO.

  19. Genomic analysis of Xenopus organizer function

    Directory of Open Access Journals (Sweden)

    Suhai Sándor

    2006-06-01

    Full Text Available Abstract Background Studies of the Xenopus organizer have laid the foundation for our understanding of the conserved signaling pathways that pattern vertebrate embryos during gastrulation. The two primary activities of the organizer, BMP and Wnt inhibition, can regulate a spectrum of genes that pattern essentially all aspects of the embryo during gastrulation. As our knowledge of organizer signaling grows, it is imperative that we begin knitting together our gene-level knowledge into genome-level signaling models. The goal of this paper was to identify complete lists of genes regulated by different aspects of organizer signaling, thereby providing a deeper understanding of the genomic mechanisms that underlie these complex and fundamental signaling events. Results To this end, we ectopically overexpress Noggin and Dkk-1, inhibitors of the BMP and Wnt pathways, respectively, within ventral tissues. After isolating embryonic ventral halves at early and late gastrulation, we analyze the transcriptional response to these molecules within the generated ectopic organizers using oligonucleotide microarrays. An efficient statistical analysis scheme, combined with a new Gene Ontology biological process annotation of the Xenopus genome, allows reliable and faithful clustering of molecules based upon their roles during gastrulation. From this data, we identify new organizer-related expression patterns for 19 genes. Moreover, our data sub-divides organizer genes into separate head and trunk organizing groups, which each show distinct responses to Noggin and Dkk-1 activity during gastrulation. Conclusion Our data provides a genomic view of the cohorts of genes that respond to Noggin and Dkk-1 activity, allowing us to separate the role of each in organizer function. These patterns demonstrate a model where BMP inhibition plays a largely inductive role during early developmental stages, thereby initiating the suites of genes needed to pattern dorsal tissues

  20. Examining the relation between ratings of executive functioning and academic achievement: Findings from a cross-cultural study

    OpenAIRE

    Thorell, Lisa B.; Veleiro, Alberto; Siu, Angela F. Y.; Mohammadi, Hiwa

    2012-01-01

    The present study investigated the relation between academic performance and ratings of executive functioning in children aged 6?11 from four countries: Sweden, Spain, Iran, and China. Ratings of executive functioning were made by both parents and teachers using the Childhood Executive Functioning Inventory (CHEXI). The results showed that the Chinese sample was generally rated as having more executive deficits compared to the other samples. The finding that executive functioning deficits are...

  1. Shape Analysis Using the Auto Diffusion Function

    DEFF Research Database (Denmark)

    Gebal, Katarzyna; Bærentzen, Jakob Andreas; Aanæs, Henrik

    2009-01-01

    Scalar functions defined on manifold triangle meshes is a starting point for many geometry processing algorithms such as mesh parametrization, skeletonization, and segmentation. In this paper, we propose the Auto Diffusion Function (ADF) which is a linear combination of the eigenfunctions......, it is controlled by a single parameter which can be interpreted as feature scale, and, finally, the ADF is invariant to rigid and isometric deformations. We describe the ADF and its properties in detail and compare it to other choices of scalar functions on manifolds. As an example of an application, we present...

  2. Factors significantly related to science achievement of Malaysian middle school students: An analysis of TIMSS 1999 data

    Science.gov (United States)

    Mokshein, Siti Eshah

    The importance of science and technology in the global economy has led to growing emphasis on math and science achievement all over the world. In this study, I seek to identify variables at the student-level and school-level that account for the variation in science achievement of the eighth graders in Malaysia. Using the Third International Math and Science Study (TIMSS) 1999 for Malaysia, a series of HLM analysis was performed. Results indicate that (1) variation in overall science achievement is greater between schools than within schools; (2) both the selected student-level and school-level factors are Important in explaining the variation in the eight graders' achievement In science; (3) the selected student-level variables explain about 13% of the variation in students' achievement within schools, but as an aggregate, they account for a much larger proportion of the between-school variance; (4) the selected school-level variables account for about 55% of the variation between schools; (5) within schools, the effects of self-concept In science, awareness of the social implications of science, gender, and home educational resources are significantly related to achievement; (6) the effects of self-concept in science and awareness of social implications of science are significant even after controlling for the effects of SES; (7) between schools, the effects of the mean of home educational resources, mean of parents' education, mean of awareness of the social implications of science, and emphasis on conducting experiments are significantly related to achievement; (8) the effects of SES variables explain about 50% of the variation in the school means achievement; and (9) the effects of emphasis on conducting experiments on achievement are significant even after controlling for the effects of SES. Since it is hard to change the society, it is recommended that efforts to Improve science achievement be focused more at the school-level, concentrating on variables that

  3. Trial-Based Functional Analysis and Functional Communication Training in an Early Childhood Setting

    Science.gov (United States)

    Lambert, Joseph M.; Bloom, Sarah E.; Irvin, Jennifer

    2012-01-01

    Problem behavior is common in early childhood special education classrooms. Functional communication training (FCT; Carr & Durand, 1985) may reduce problem behavior but requires identification of its function. The trial-based functional analysis (FA) is a method that can be used to identify problem behavior function in schools. We conducted…

  4. Analysis of Multiple Spurious Operation Scenarios for Decay Heat Removal Function of CANDU Reactors

    Energy Technology Data Exchange (ETDEWEB)

    Lee, Youngseung; Bae, Yeon-kyoung; Kim, Myungsu [KHNP CRI, Daejeon (Korea, Republic of)

    2016-10-15

    The worst fire broke out in the Browns Ferry Nuclear Power Plant on March 22, 1975. A fire occurrence in a nuclear power plant has recognized a latently serious incident. Nuclear power plants should achieve and maintain the safe shutdown conditions during and after the occurrence of a fire. Functions of the safe shutdown are five such as the shutdown function, the decay heat removal function, the containment function, monitoring and control function, and the supporting function for CANDU type reactors. The purpose of this paper is to analyze that the decay heat removal function of the safe shutdown functions for CANDU type reactors is achieved under the fire induced multiple spurious operation. The scenarios of the fire induced multiple spurious operations (MSO) for the systems used for the decay heat cooling were analyzed. Additionally, Integrated Severe Accident Analysis code for CANDU plants (ISAAC) for determining success criteria of thermal hydraulic analysis was used. Decay heat cooling systems of CANDU reactors are the auxiliary feedwater system, the emergency water supply system, and the shutdown cooling system. A big fire can threat the safety of nuclear power plants, and safe shutdown conditions. The regulatory body in Korea requires the fire hazard analysis including fire induced MSOs. The safe shutdown functions for CANDU reactors are the shutdown function, the decay heat removal function, the containment function, the monitoring and control function, and the supporting service function. The number of spurious operations for the auxiliary feedwater system is more than six and that for the emergency water supply system is one. Additionally, misoperations for the shutdown cooling system are more than two. Accordingly, if total nine components could be spuriously operated, the decay heat removal function would be lost entirely.

  5. Analysis of Multiple Spurious Operation Scenarios for Decay Heat Removal Function of CANDU Reactors

    International Nuclear Information System (INIS)

    Lee, Youngseung; Bae, Yeon-kyoung; Kim, Myungsu

    2016-01-01

    The worst fire broke out in the Browns Ferry Nuclear Power Plant on March 22, 1975. A fire occurrence in a nuclear power plant has recognized a latently serious incident. Nuclear power plants should achieve and maintain the safe shutdown conditions during and after the occurrence of a fire. Functions of the safe shutdown are five such as the shutdown function, the decay heat removal function, the containment function, monitoring and control function, and the supporting function for CANDU type reactors. The purpose of this paper is to analyze that the decay heat removal function of the safe shutdown functions for CANDU type reactors is achieved under the fire induced multiple spurious operation. The scenarios of the fire induced multiple spurious operations (MSO) for the systems used for the decay heat cooling were analyzed. Additionally, Integrated Severe Accident Analysis code for CANDU plants (ISAAC) for determining success criteria of thermal hydraulic analysis was used. Decay heat cooling systems of CANDU reactors are the auxiliary feedwater system, the emergency water supply system, and the shutdown cooling system. A big fire can threat the safety of nuclear power plants, and safe shutdown conditions. The regulatory body in Korea requires the fire hazard analysis including fire induced MSOs. The safe shutdown functions for CANDU reactors are the shutdown function, the decay heat removal function, the containment function, the monitoring and control function, and the supporting service function. The number of spurious operations for the auxiliary feedwater system is more than six and that for the emergency water supply system is one. Additionally, misoperations for the shutdown cooling system are more than two. Accordingly, if total nine components could be spuriously operated, the decay heat removal function would be lost entirely

  6. Tracking Undergraduate Student Achievement in a First-Year Physiology Course Using a Cluster Analysis Approach

    Science.gov (United States)

    Brown, S. J.; White, S.; Power, N.

    2015-01-01

    A cluster analysis data classification technique was used on assessment scores from 157 undergraduate nursing students who passed 2 successive compulsory courses in human anatomy and physiology. Student scores in five summative assessment tasks, taken in each of the courses, were used as inputs for a cluster analysis procedure. We aimed to group…

  7. Gender Differences in Mathematics Achievement in Jordan: A Differential Item Functioning Analysis of the 2015 TIMSS

    Science.gov (United States)

    Innabi, Hanan; Dodeen, Hamzeh

    2018-01-01

    This study is within the framework of the United Nations sustainable development goals related to equitable quality education. The total score on the 2015 Trends in International Mathematics and Science Study that indicated eighth-grade girls in Jordan significantly outperformed boys is hiding many details related to the quality of mathematics…

  8. Functional Enhancements in Used Oil Analysis Spectrometers

    National Research Council Canada - National Science Library

    Lukas, Malte

    1998-01-01

    Spark emission spectrometers using the rotating disk electrode (RDE) technique have become the workhorses and primary analytical tool of most machine condition monitoring programs based on oil analysis...

  9. Descriptive Topology in Selected Topics of Functional Analysis

    CERN Document Server

    Kakol, J; Pellicer, Manuel Lopez

    2011-01-01

    "Descriptive Topology in Selected Topics of Functional Analysis" is a collection of recent developments in the field of descriptive topology, specifically focused on the classes of infinite-dimensional topological vector spaces that appear in functional analysis. Such spaces include Frechet spaces, (LF)-spaces and their duals, and the space of continuous real-valued functions C(X) on a completely regular Hausdorff space X, to name a few. These vector spaces appear in functional analysis in distribution theory, differential equations, complex analysis, and various other analytical set

  10. Time-frequency analysis and harmonic Gaussian functions

    International Nuclear Information System (INIS)

    Ranaivoson, R.T.R; Raoelina Andriambololona; Hanitriarivo, R.

    2013-01-01

    A method for time-frequency analysis is given. The approach utilizes properties of Gaussian distribution, properties of Hermite polynomials and Fourier analysis. We begin by the definitions of a set of functions called Harmonic Gaussian Functions. Then these functions are used to define a set of transformations, noted Τ n , which associate to a function ψ, of the time variable t, a set of functions Ψ n which depend on time, frequency and frequency (or time) standard deviation. Some properties of the transformations Τ n and the functions Ψ n are given. It is proved in particular that the square of the modulus of each function Ψ n can be interpreted as a representation of the energy distribution of the signal, represented by the function ψ, in the time-frequency plane for a given value of the frequency (or time) standard deviation. It is also shown that the function ψ can be recovered from the functions Ψ n .

  11. Safety analysis of autonomous excavator functionality

    International Nuclear Information System (INIS)

    Seward, D.; Pace, C.; Morrey, R.; Sommerville, I.

    2000-01-01

    This paper presents an account of carrying out a hazard analysis to define the safety requirements for an autonomous robotic excavator. The work is also relevant to the growing generic class of heavy automated mobile machinery. An overview of the excavator design is provided and the concept of a safety manager is introduced. The safety manager is an autonomous module responsible for all aspects of system operational safety, and is central to the control system's architecture. Each stage of the hazard analysis is described, i.e. system model creation, hazard definition and hazard analysis. Analysis at an early stage of the design process, and on a system that interfaces directly to an unstructured environment, exposes certain issues relevant to the application of current hazard analysis methods. The approach taken in the analysis is described. Finally, it is explained how the results of the hazard analysis have influenced system design, in particular, safety manager specifications. Conclusions are then drawn about the applicability of hazard analysis of requirements in general, and suggestions are made as to how the approach can be taken further

  12. Maternal Perinatal Mental Health and Offspring Academic Achievement at Age 16: The Mediating Role of Childhood Executive Function

    Science.gov (United States)

    Pearson, Rebecca M.; Bornstein, Marc H.; Cordero, Miguel; Scerif, Gaia; Mahedy, Liam; Evans, Jonathan; Abioye, Abu; Stein, Alan

    2016-01-01

    Background: Elucidating risk pathways for under-achieving at school can inform strategies to reduce the number of adolescents leaving school without passing grades in core subjects. Maternal depression can compromise the quality of parental care and is associated with multiple negative child outcomes. However, only a few small studies have…

  13. Functional Analysis of P4-ATPases

    DEFF Research Database (Denmark)

    Theorin, Lisa

    and mammalian P4-ATPases have been studied extensively and the physiological function is mostly known, while the exact biochemistry and specific activity is mostly unknown. Even though the plant Arabidopsis thaliana has 12 P4-ATPases, not much is known about their function. In this study, the biochemical...... for purification of the complex by one-step purification. The ATPase activity of the ALA2/ALIS5 complex was stimulated in a highly specific manner by phosphatidylserine. Changes in the phosphatidylserine headgroup or alteration of the stereochemistry affected enzymatic activity. The results demonstrate that ALA2...... is specific for phosphatidylserine and that binding of the lipid to the substrate binding site requires a unique spatial configuration of the lipid head group. Detailed information on the substrate requirements lead the way towards the full function and transport pathway of lipid flippases in plants. Recent...

  14. Functional analysis screening for multiple topographies of problem behavior.

    Science.gov (United States)

    Bell, Marlesha C; Fahmie, Tara A

    2018-04-23

    The current study evaluated a screening procedure for multiple topographies of problem behavior in the context of an ongoing functional analysis. Experimenters analyzed the function of a topography of primary concern while collecting data on topographies of secondary concern. We used visual analysis to predict the function of secondary topographies and a subsequent functional analysis to test those predictions. Results showed that a general function was accurately predicted for five of six (83%) secondary topographies. A specific function was predicted and supported for a subset of these topographies. The experimenters discuss the implication of these results for clinicians who have limited time for functional assessment. © 2018 Society for the Experimental Analysis of Behavior.

  15. Application of functional analysis techniques to supervisory systems

    International Nuclear Information System (INIS)

    Lambert, Manuel; Riera, Bernard; Martel, Gregory

    1999-01-01

    The aim of this paper is to apply firstly two interesting functional analysis techniques for the design of supervisory systems for complex processes, and secondly to discuss the strength and the weaknesses of each of them. Two functional analysis techniques have been applied, SADT (Structured Analysis and Design Technique) and FAST (Functional Analysis System Technique) on a process, an example of a Water Supply Process Control (WSPC) system. These techniques allow a functional description of industrial processes. The paper briefly discusses the functions of a supervisory system and some advantages of the application of functional analysis for the design of a 'human' centered supervisory system. Then the basic principles of the two techniques applied on the WSPC system are presented. Finally, the different results obtained from the two techniques are discussed

  16. Stability analysis of impulsive functional differential equations

    CERN Document Server

    Stamova, Ivanka

    2009-01-01

    This book is devoted to impulsive functional differential equations which are a natural generalization of impulsive ordinary differential equations (without delay) and of functional differential equations (without impulses). At the present time the qualitative theory of such equationsis under rapid development. After a presentation of the fundamental theory of existence, uniqueness and continuability of solutions, a systematic development of stability theory for that class of problems is given which makes the book unique. It addresses to a wide audience such as mathematicians, applied research

  17. Asymptotic analysis for functional stochastic differential equations

    CERN Document Server

    Bao, Jianhai; Yuan, Chenggui

    2016-01-01

    This brief treats dynamical systems that involve delays and random disturbances. The study is motivated by a wide variety of systems in real life in which random noise has to be taken into consideration and the effect of delays cannot be ignored. Concentrating on such systems that are described by functional stochastic differential equations, this work focuses on the study of large time behavior, in particular, ergodicity. This brief is written for probabilists, applied mathematicians, engineers, and scientists who need to use delay systems and functional stochastic differential equations in their work. Selected topics from the brief can also be used in a graduate level topics course in probability and stochastic processes.

  18. An advanced complex analysis problem book topological vector spaces, functional analysis, and Hilbert spaces of analytic functions

    CERN Document Server

    Alpay, Daniel

    2015-01-01

    This is an exercises book at the beginning graduate level, whose aim is to illustrate some of the connections between functional analysis and the theory of functions of one variable. A key role is played by the notions of positive definite kernel and of reproducing kernel Hilbert space. A number of facts from functional analysis and topological vector spaces are surveyed. Then, various Hilbert spaces of analytic functions are studied.

  19. The Impact of Using Technology on Student Achievement: Teaching Functions with the TI-Nspire to 9th Grade Algebra Students

    Science.gov (United States)

    Buckner, Barbara Renee

    2011-01-01

    The purpose of this study was to determine the effect of TI-Nspire graphing calculator use on student achievement and on teacher behavior variables of planning, teaching, and assessing. This study investigated the teaching of functions by teachers using the TI-Nspire graphing calculator versus teachers using a non-graphing scientific calculator. …

  20. Differential analysis of matrix convex functions

    DEFF Research Database (Denmark)

    Hansen, Frank; Tomiyama, Jun

    2007-01-01

    We analyze matrix convex functions of a fixed order defined in a real interval by differential methods as opposed to the characterization in terms of divided differences given by Kraus [F. Kraus, Über konvekse Matrixfunktionen, Math. Z. 41 (1936) 18-42]. We obtain for each order conditions for ma...

  1. Analysis of the Bogoliubov free energy functional

    DEFF Research Database (Denmark)

    Reuvers, Robin

    In this thesis, we analyse a variational reformulation of the Bogoliubov approximation that is used to describe weakly-interacting translationally-invariant Bose gases. For the resulting model, the `Bogoliubov free energy functional', we demonstrate existence of minimizers as well as the presence...

  2. Density functional and neural network analysis

    DEFF Research Database (Denmark)

    Jalkanen, K. J.; Suhai, S.; Bohr, Henrik

    1997-01-01

    Density functional theory (DFT) calculations have been carried out for hydrated L-alanine, L-alanyl-L-alanine and N-acetyl L-alanine N'-methylamide and examined with respect to the effect of water on the structure, the vibrational frequencies, vibrational absorption (VA) and vibrational circular...

  3. Bispectral analysis: comparison of two windowing functions

    Science.gov (United States)

    Silvagni, D.; Djerroud, C.; Réveillé, T.; Gravier, E.

    2018-02-01

    Amongst all the normalized forms of bispectrum, the bicoherence is shown to be a very useful diagnostic tool in experimental studies of nonlinear wave interactions in plasma, as it measures the fraction of wave power due to the quadratic wave coupling in a self-excited fluctuation spectrum [1, 2]. In order to avoid spectral leakage, the application of a windowing function is needed during the bicoherence computation. Spectral leakage from statistically dependent components are of crucial importance in the discrimination between coupled and uncoupled modes, as they will introduce in the bicoherence spectrum phase-coupled modes which in reality do not exist. Therefore, the windowing function plays a key role in the bicoherence estimation. In this paper, two windowing methods are compared: the multiplication of the initial signal by the Hanning function and the subtraction of the straight line which links the two extremities of the signal. The influence of these two windowing methods on both the power spectrum and the bicoherence spectrum is showed. Although both methods give precise results, the Hanning function appears to be the more suitable window.

  4. The Impact of Guided Notes on Post-Secondary Student Achievement: A Meta-Analysis

    Science.gov (United States)

    Larwin, Karen H.; Larwin, David A.

    2013-01-01

    The common practice of using of guided notes in the post-secondary classroom is not fully appreciated or understood. In an effort to add to the existing research about this phenomenon, the current investigation expands on previously published research and one previously published meta-analysis that examined the impact of guided notes on…

  5. Determinants of Educational Achievement in Morocco: A Micro-Econometric Analysis Applied to the TIMSS Study

    Science.gov (United States)

    Ibourk, Aomar

    2013-01-01

    Based on data from international surveys measuring learning (TIMSS), this article focuses on the analysis of the academic performance Moroccan students. The results of the econometric model show that the students' characteristics, their family environment and school context are key determinants of these performances. The study also shows that the…

  6. A decision Enhancement Service for Stakeholder Analysis to Achieve Transformations in the Public Sector

    NARCIS (Netherlands)

    Knol, Arjan; Janssen, Marijn; Sol, H G

    2015-01-01

    Sourcing has become a popular practice for public sector managers aiming for transformations to save costs and improve service delivery. Nevertheless, public sector sourcing often fails due to stakeholder resistance and power struggles, stressing the need for stakeholder analysis. This paper

  7. Achieving 100% efficient postcolumn hydride generation for As speciation analysis by atomic fluorescence spectrometry

    Czech Academy of Sciences Publication Activity Database

    Marschner, Karel; Musil, Stanislav; Dědina, Jiří

    2016-01-01

    Roč. 88, č. 7 (2016), s. 4041-4047 ISSN 0003-2700 R&D Projects: GA ČR GA14-23532S Institutional support: RVO:68081715 Keywords : arsenic speciation analysis * hydride generation * HPLC Subject RIV: CB - Analytical Chemistry, Separation Impact factor: 6.320, year: 2016

  8. Functional Foods Baseline and Requirements Analysis

    Science.gov (United States)

    Cooper, M. R.; Bermudez-Aguirre, L. D.; Douglas, G.

    2015-01-01

    Current spaceflight foods were evaluated to determine if their nutrient profile supports positioning as a functional food and if the stability of the bioactive compound within the food matrix over an extended shelf-life correlated with the expected storage duration during the mission. Specifically, the research aims were: Aim A. To determine the amount of each nutrient in representative spaceflight foods immediately after processing and at predetermined storage time to establish the current nutritional state. Aim B. To identify the requirements to develop foods that stabilize these nutrients such that required concentrations are maintained in the space food system throughout long duration missions (up to five years). Aim C. To coordinate collaborations with health and performance groups that may require functional foods as a countermeasure.

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

    African Journals Online (AJOL)

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

  10. Some connections for manuals of empirical logic to functional analysis

    International Nuclear Information System (INIS)

    Cook, T.A.

    1981-01-01

    In this informal presentation, the theory of manuals of operations is connected with some familiar concepts in functional analysis; namely, base normed and order unit normed spaces. The purpose of this discussion is to present several general open problems which display the interplay of empirical logic with functional analysis. These are mathematical problems with direct physical interpretation. (orig./HSI)

  11. FACTOR ANALYSIS ABOUT EXCLUSIVE BREASTFEEDING ACHIEVEMENT LEVEL AMONG MOTHERS WHO PROVIDE BREASTMILK TO THEIR CHILDREN

    Directory of Open Access Journals (Sweden)

    Tiyas Kusumaningrum

    2017-04-01

    Full Text Available Introduction: The number of mother who breastfeed their babies exclusively in Indonesia is low. It caused by many factors such as high intensity of formula milk advertisement, lack of awareness about the importance of breastfeeding, working mother, social culture, family support and the role of health care provider. The purpose of this research was to analyze factors related with successfulness level of exclusive breastfeeding. Method: Design used in this research was analytic retrospective. The population were all mothers at Pacarkeling Public Health Center area. Sample obtained through purposive sampling. Total sample was 61 respondents. Independent variables were knowledge, information and promotion, family support, social cultural, role of health provider, work/occupation, education and breast physiology anatomy. The dependent variable was exclusive breastfeeding. Result: The result indicated that exclusive breastfeeding achievement level was related with information and promotion (r = 0.271, family support (r = 373, health care provider role (r = 231, mother occupation (r = 251, anatomy and physiology of breast (r = 293, while the knowledge (r = 108, social cultural (r = 180 and education (r = 093 not significantly related. Discussion: In conclusion, there was a positive correlation between information and promotion, family support, health care provider role, mother’s occupation, anatomy and physiology of breast with successfulness level of exclusive breastfeeding. While the knowledge, social cultural and education did not indicate significant result. Therefore it is suggested to increase the quantity and quality of information and promotion about exclusive breastfeeding to the society, health care provider and pregnant and breastfeeding mother.

  12. A cost analysis of implementing a behavioral weight loss intervention in community mental health settings: Results from the ACHIEVE trial.

    Science.gov (United States)

    Janssen, Ellen M; Jerome, Gerald J; Dalcin, Arlene T; Gennusa, Joseph V; Goldsholl, Stacy; Frick, Kevin D; Wang, Nae-Yuh; Appel, Lawrence J; Daumit, Gail L

    2017-06-01

    In the ACHIEVE randomized controlled trial, an 18-month behavioral intervention accomplished weight loss in persons with serious mental illness who attended community psychiatric rehabilitation programs. This analysis estimates costs for delivering the intervention during the study. It also estimates expected costs to implement the intervention more widely in a range of community mental health programs. Using empirical data, costs were calculated from the perspective of a community psychiatric rehabilitation program delivering the intervention. Personnel and travel costs were calculated using time sheet data. Rent and supply costs were calculated using rent per square foot and intervention records. A univariate sensitivity analysis and an expert-informed sensitivity analysis were conducted. With 144 participants receiving the intervention and a mean weight loss of 3.4 kg, costs of $95 per participant per month and $501 per kilogram lost in the trial were calculated. In univariate sensitivity analysis, costs ranged from $402 to $725 per kilogram lost. Through expert-informed sensitivity analysis, it was estimated that rehabilitation programs could implement the intervention for $68 to $85 per client per month. Costs of implementing the ACHIEVE intervention were in the range of other intensive behavioral weight loss interventions. Wider implementation of efficacious lifestyle interventions in community mental health settings will require adequate funding mechanisms. © 2017 The Obesity Society.

  13. Classwide Functional Analysis and Treatment of Preschoolers' Disruptive Behavior

    Science.gov (United States)

    Poole, Veena Y.; Dufrene, Brad A.; Sterling, Heather E.; Tingstrom, Daniel H.; Hardy, Christina M.

    2012-01-01

    Relatively few functional assessment and intervention studies have been conducted in preschool classrooms with children of typical development who engage in high incidence problem behaviors. Moreover, limited studies have used functional assessment procedures with the class as the unit of analysis. This study included functional analyses and a…

  14. Continuous nowhere differentiable functions the monsters of analysis

    CERN Document Server

    Jarnicki, Marek

    2015-01-01

    This book covers the construction, analysis, and theory of continuous nowhere differentiable functions, comprehensively and accessibly. After illuminating the significance of the subject through an overview of its history, the reader is introduced to the sophisticated toolkit of ideas and tricks used to study the explicit continuous nowhere differentiable functions of Weierstrass, Takagi–van der Waerden, Bolzano, and others. Modern tools of functional analysis, measure theory, and Fourier analysis are applied to examine the generic nature of continuous nowhere differentiable functions, as well as linear structures within the (nonlinear) space of continuous nowhere differentiable functions. To round out the presentation, advanced techniques from several areas of mathematics are brought together to give a state-of-the-art analysis of Riemann’s continuous, and purportedly nowhere differentiable, function. For the reader’s benefit, claims requiring elaboration, and open problems, are clearly indicated. An a...

  15. Factors Analysis And Profit Achievement For Trading Company By Using Rough Set Method

    Directory of Open Access Journals (Sweden)

    Muhammad Ardiansyah Sembiring

    2017-06-01

    Full Text Available This research has been done to analysis the financial raport fortrading company and it is  intimately  related  to  some  factors  which  determine  the profit of company. The result of this reseach is showed about  New Knowledge and perform of the rule. In  discussion, by followed data mining process and using Rough Set method. Rough Set is to analyzed the performance of the result. This  reseach will be assist to the manager of company with draw the intactandobjective. Rough set method is also to difined  the rule of discovery process and started the formation about Decision System, Equivalence Class, Discernibility Matrix,  Discernibility Matrix Modulo D, Reduction and General Rules. Rough set method is efective model about the performing analysis in the company.   Keywords : Data Mining, General Rules, Profit,. Rough Set.

  16. [A functional analysis of healthcare auditors' skills in Venezuela, 2008].

    Science.gov (United States)

    Chirinos-Muñoz, Mónica S

    2010-10-01

    Using functional analysis for identifying the basic, working, specific and generic skills and values which a health service auditor must have. Implementing the functional analysis technique with 10 experts, identifying specific, basic, generic skills and values by means of deductive logic. A functional map was obtained which started by establishing a key purpose based on improving healthcare and service quality from which three key functions emerged. The main functions and skills' units were then broken down into the competitive elements defining what a health service auditor is able to do. This functional map (following functional analysis methodology) shows in detail the simple and complex tasks which a healthcare auditor should apply in the workplace, adopting a forward management approach for improving healthcare and health service quality. This methodology, expressing logical-deductive awareness raising, provides expert consensual information validating each element regarding overall skills.

  17. Structural-functional and parametric analysis of the social function of pharmaceutical industry

    Directory of Open Access Journals (Sweden)

    N. O. Tkachenko

    2016-12-01

    Full Text Available Pharmacy has always had a special (social value and was sensitive to the new social changes in the society and the state. These changes allow better understand the issues associated with increasing the efficiency of pharmaceutical care to the population. The aim of the work: identify, justify and to summarize the main elements of the social function of pharmacy, as a component of health care system, to further evaluate the properties of the pharmaceutical industry as a system. Materials and methods. To achieve this goal the principle of a systematic approach and the complex of research methods such as structural, functional and parametric analysis, logical knowledge and comparison, ad also generalization have been used. As materials of research, we used the results of fundamental and applied research of national and foreign experts on the issue. Results and discussion. The basic principles of the welfare state and pharmacy as socially oriented sectors of the economy have been determined. We have found that the pharmaceutical industry is an agent, which implements a number of elements of the social function, such as pharmaceutical assistance to the population, the production of social goods (drugs, medical products, medical cosmetics, etc., creating and providing of working places, paying taxes (replenishment of the state budget, the formation and development of human capital, research and innovation activities, charity and sponsorship, environmental protection. Ukraine formally acceded to United Nations document, «Agenda for the XXI Century». This agreement commits our government to implement development and implementation of sustainable development strategies. Its main components are the social responsibility, social integration, an efficient worker and effective owner. Social responsibility acts as a reverse reaction on realization of social policy through the main sectors of the economy. Conclusions. We have summarized the information and

  18. An analysis of science conceptual knowledge in journals of students with disabilities and normally achieving students

    Science.gov (United States)

    Grigg, Gail S.

    Science education reforms of the last two decades have focused on raising the bar for ALL students which includes students with mild to moderate disabilities. Formative assessment can be used to assess the progress of these students to inquire, understand scientific concepts, reason scientifically, make decisions, and communicate effectively in science. The purpose of this study is to examine the use of science journals as a formative assessment in a guided inquiry unit of study for students with learning disabilities. Two normally achieving students (NA) and five students with learning disabilities (SLD) participated in a study of mammals that utilized journals to record the development of student knowledge through the course of study. Students were interviewed after the lessons were complete using the same prompts required in the journals. Themes were developed from the student writings and their verbal discourse using Grounded Theory. Journals and verbal discourse were rated following the themes of Knowledge Telling (KT) and Knowledge Transformation (KTR). Concept maps were developed for the Pre and Post test lessons (written and verbal discourses) by the raters in an attempt to further explain the knowledge that the students conveyed. The results of this study suggest that SLD are able to demonstrate knowledge about mammals better through verbal discourse than written discourse. While the NA students wrote more and used more technical discourse than did their SLD peers, the conceptual understanding of the topic by the SLD was no less inclusive than their NA peers when accessed verbally. The journals demonstrated limited conceptual growth for the SLD. Further, while lexical density is important to the development of knowledge in science, this study suggests the "conceptual density" may be another important indicator to examine.

  19. False Positive Functional Analysis Results as a Contributor of Treatment Failure during Functional Communication Training

    Science.gov (United States)

    Mann, Amanda J.; Mueller, Michael M.

    2009-01-01

    Research has shown that functional analysis results are beneficial for treatment selection because they identify reinforcers for severe behavior that can then be used to reinforce replacement behaviors either differentially or noncontingently. Theoretically then, if a reinforcer is identified in a functional analysis erroneously, a well researched…

  20. A Comparison of Functional Behavioral Assessment and Functional Analysis Methodology among Students with Mild Disabilities

    Science.gov (United States)

    Lewis, Timothy J.; Mitchell, Barbara S.; Harvey, Kristin; Green, Ambra; McKenzie, Jennifer

    2015-01-01

    Functional behavioral assessment (FBA) and functional analyses (FA) are grounded in the applied behavior analysis principle that posits problem behavior is functionally related to the environment in which it occurs and is maintained by either providing access to reinforcing outcomes or allowing the individual to avoid or escape that which they…

  1. Functional Analysis for Double Shell Tank (DST) Subsystems

    International Nuclear Information System (INIS)

    SMITH, D.F.

    2000-01-01

    This functional analysis identifies the hierarchy and describes the subsystem functions that support the Double-Shell Tank (DST) System described in HNF-SD-WM-TRD-007, System Specification for the Double-Shell Tank System. Because of the uncertainty associated with the need for upgrades of the existing catch tanks supporting the Waste Feed Delivery (WFD) mission, catch tank functions are not addressed in this document. The functions identified herein are applicable to the Phase 1 WFD mission only

  2. Achievements of the ATLAS Distributed Analysis during the first run period

    CERN Document Server

    Farida, Fassi; The ATLAS collaboration

    2013-01-01

    Summary : In the LHC operations era analyzing the large data by the distributed physicists becomes a challenging task. The Computing Model of the ATLAS experiment at the LHC at CERN was designed around the concepts of grid computing. Large data volumes from the detectors and simulations require a large number of CPUs and storage space for data processing. To cope with these challenges a global network known as the Worlwide LHC Computing Grid (WLCG) was built. This is the most sophisticated data taking and analysis system ever built. Since the start of data-taking, the ATLAS Distributed Analysis (ADA) service has been running stably with the huge amount of data. The reliability of the ADA service is high but steadily improving; grid sites are continually validated against a set of standard tests, and a dedicated team of expert shifters provides user support and communicates user problems to the sites. The ATLAS Grid Computing Model is reviewed in this talk. Emphasis is given to ADA system. Description : The ce...

  3. How the impact of median neuropathy on sensorimotor control capability of hands for diabetes: an achievable assessment from functional perspectives.

    Directory of Open Access Journals (Sweden)

    Haw-Yen Chiu

    Full Text Available To comprehend the sensorimotor control ability in diabetic hands, this study investigated the sensation, motor function and precision pinch performances derived from a pinch-holding-up activity (PHUA test of the hands of diabetic patients and healthy subjects. The precision, sensitivity and specificity of the PHUA test in the measurements of diabetic patients were also analyzed. We hypothesized that the diabetic hands would have impacts on the sensorimotor functions of the hand performances under functionally quantitative measurements. One hundred and fifty-nine patients with clinically defined diabetes mellitus (DM and 95 age- and gender-matched healthy controls were included. Semmes-Weinstein monofilament (SWM, static and moving two-point discrimination (S2PD and M2PD, maximal pinch strength and precision pinch performance tests were conducted to evaluate the sensation, motor and sensorimotor status of the recruited hands. The results showed that there were significant differences (all p<0.05 in SWM, S2PD, M2PD and maximum pinch strength between the DM and control groups. A higher force ratio in the DM patients than in the controls (p<0.001 revealed a poor ability of pinch force adjustment in the DM patients. The percentage of maximal pinch strength was also significantly different (p<0.001 between the DM and control groups. The sensitivity, specificity and area under the receiver operating characteristic curve were 0.85, 0.51, and 0.724, respectively, for the PHUA test. Statistically significant degradations in sensory and motor functions and sensorimotor control ability were observed in the hands of the diabetic patients. The PHUA test could be feasibly used as a clinical tool to determine the sensorimotor function of the hands of diabetic patients from a functional perspective.

  4. Function analysis for waste information systems

    International Nuclear Information System (INIS)

    Sexton, J.L.; Neal, C.T.; Heath, T.C.; Starling, C.D.

    1996-04-01

    This study has a two-fold purpose. It seeks to identify the functional requirements of a waste tracking information system and to find feasible alternatives for meeting those requirements on the Oak Ridge Reservation (ORR) and the Portsmouth (PORTS) and Paducah (PGDP) facilities; identify options that offer potential cost savings to the US government and also show opportunities for improved efficiency and effectiveness in managing waste information; and, finally, to recommend a practical course of action that can be immediately initiated. In addition to identifying relevant requirements, it also identifies any existing requirements that are currently not being completely met. Another aim of this study is to carry out preliminary benchmarking by contacting representative companies about their strategic directions in waste information. The information obtained from representatives of these organizations is contained in an appendix to the document; a full benchmarking effort, however, is beyond the intended scope of this study

  5. Waste Minimization Improvements Achieved Through Six Sigma Analysis Result In Significant Cost Savings

    International Nuclear Information System (INIS)

    Mousseau, Jeffrey D.; Jansen, John R.; Janke, David H.; Plowman, Catherine M.

    2003-01-01

    Improved waste minimization practices at the Department of Energy's (DOE) Idaho National Engineering and Environmental Laboratory (INEEL) are leading to a 15% reduction in the generation of hazardous and radioactive waste. Bechtel, BWXT Idaho, LLC (BBWI), the prime management and operations contractor at the INEEL, applied the Six Sigma improvement process to the INEEL Waste Minimization Program to review existing processes and define opportunities for improvement. Our Six Sigma analysis team: composed of an executive champion, process owner, a black belt and yellow belt, and technical and business team members used this statistical based process approach to analyze work processes and produced ten recommendations for improvement. Recommendations ranged from waste generator financial accountability for newly generated waste to enhanced employee recognition programs for waste minimization efforts. These improvements have now been implemented to reduce waste generation rates and are producing positive results

  6. Achieving 100% Efficient Postcolumn Hydride Generation for As Speciation Analysis by Atomic Fluorescence Spectrometry.

    Science.gov (United States)

    Marschner, Karel; Musil, Stanislav; Dědina, Jiří

    2016-04-05

    An experimental setup consisting of a flow injection hydride generator coupled to an atomic fluorescence spectrometer was optimized in order to generate arsanes from tri- and pentavalent inorganic arsenic species (iAs(III), iAs(V)), monomethylarsonic acid (MAs(V)), and dimethylarsinic acid (DMAs(V)) with 100% efficiency with the use of only HCl and NaBH4 as the reagents. The optimal concentration of HCl was 2 mol L(-1); the optimal concentration of NaBH4 was 2.5% (m/v), and the volume of the reaction coil was 8.9 mL. To prevent excessive signal noise due to fluctuations of hydride supply to an atomizer, a new design of a gas-liquid separator was implemented. The optimized experimental setup was subsequently interfaced to HPLC and employed for speciation analysis of arsenic. Two chromatography columns were tested: (i) ion-pair chromatography and (ii) ion exchange chromatography. The latter offered much better results for human urine samples without a need for sample dilution. Due to the equal hydride generation efficiency (and thus the sensitivities) of all As species, a single species standardization by DMAs(V) standard was feasible. The limits of detection for iAs(III), iAs(V), MAs(V), and DMAs(V) were 40, 97, 57, and 55 pg mL(-1), respectively. Accuracy of the method was tested by the analysis of the standard reference material (human urine NIST 2669), and the method was also verified by the comparative analyses of human urine samples collected from five individuals with an independent reference method.

  7. Bioprospecting and Functional Analysis of Neglected Environments

    DEFF Research Database (Denmark)

    Vogt, Josef Korbinian

    on Biological Diversity (explained in Chapter 3). Proteolytic enzymes – described in Chapter 4 – are the target for bioprospecting due to their high market value. Section II describes methods used for the analysis of metagenomic and RNA-seq datasets, including Manuscript I, which includes the taxonomic...... of arctic marine metagenomes reveals bacterial strategies for deep sea persistence (Manuscript II). Furthermore, this extreme environment is a fertile ground to mine for novel proteolytic enzymes. Manuscript III presents a bioinformatics approach to identify sequences for potential commercialization...

  8. Approaches to learning as predictors of academic achievement: Results from a large scale, multi-level analysis

    DEFF Research Database (Denmark)

    Herrmann, Kim Jesper; McCune, Velda; Bager-Elsborg, Anna

    2017-01-01

    The relationships between university students’ academic achievement and their approaches to learning and studying continuously attract scholarly attention. We report the results of an analysis in which multilevel linear modelling was used to analyse data from 3,626 Danish university students....... Controlling for the effects of age, gender, and progression, we found that the students’ end-of-semester grade point averages were related negatively to a surface approach and positively to organised effort. Interestingly, the effect of the surface approach on academic achievement varied across programmes....... While there has been considerable interest in the ways in which academic programmes shape learning and teaching, the effects of these contexts on the relationship between approaches to learning and academic outcomes is under-researched. The results are discussed in relation to findings from recent meta...

  9. Applications of functional analysis to optimal control problems

    International Nuclear Information System (INIS)

    Mizukami, K.

    1976-01-01

    Some basic concepts in functional analysis, a general norm, the Hoelder inequality, functionals and the Hahn-Banach theorem are described; a mathematical formulation of two optimal control problems is introduced by the method of functional analysis. The problem of time-optimal control systems with both norm constraints on control inputs and on state variables at discrete intermediate times is formulated as an L-problem in the theory of moments. The simplex method is used for solving a non-linear minimizing problem inherent in the functional analysis solution to this problem. Numerical results are presented for a train operation. The second problem is that of optimal control of discrete linear systems with quadratic cost functionals. The problem is concerned with the case of unconstrained control and fixed endpoints. This problem is formulated in terms of norms of functionals on suitable Banach spaces. (author)

  10. GOMA: functional enrichment analysis tool based on GO modules

    Institute of Scientific and Technical Information of China (English)

    Qiang Huang; Ling-Yun Wu; Yong Wang; Xiang-Sun Zhang

    2013-01-01

    Analyzing the function of gene sets is a critical step in interpreting the results of high-throughput experiments in systems biology.A variety of enrichment analysis tools have been developed in recent years,but most output a long list of significantly enriched terms that are often redundant,making it difficult to extract the most meaningful functions.In this paper,we present GOMA,a novel enrichment analysis method based on the new concept of enriched functional Gene Ontology (GO) modules.With this method,we systematically revealed functional GO modules,i.e.,groups of functionally similar GO terms,via an optimization model and then ranked them by enrichment scores.Our new method simplifies enrichment analysis results by reducing redundancy,thereby preventing inconsistent enrichment results among functionally similar terms and providing more biologically meaningful results.

  11. Achieving accountability through maternal death reviews in Nigeria: a process analysis.

    Science.gov (United States)

    de Kok, Bregje; Imamura, M; Kanguru, L; Owolabi, O; Okonofua, F; Hussein, J

    2017-10-01

    Maternal death reviews (MDRs) are part of the drive to increase accountability for maternal deaths and reduce their occurrence by identifying barriers to effective, quality care. However, conducting MDRs well is difficult; staff commitment and establishing a blame free environment are key challenges. By examining the communication strategies used in MDRs this study sought to understand how MDR members implement policy imperatives (e.g. 'no blame, no name') and manage the inevitable sensitivities of discussing a client's death in a multidisciplinary team. We observed and recorded four MDRs in Nigerian teaching hospitals and used conversation and discourse analysis to identify patterns in verbal and non-verbal interactions. MDRs were conducted in a structured way and had multidisciplinary representation. We grouped discursive strategies observed into three overlapping clusters: 'doing' no-name no-blame; fostering participation; and managing personal accountability. Within these clusters, explicit reminders, gentle enquiries and instilling a sense of togetherness were used in doing no-name, no-blame. Strategies such as questioning and invoking protocol were only partially successful in fostering participation. Regarding managing accountability, forms of communication which limit personal responsibility ('pass the buck') and resist passing the buck were observed. Detailed, lengthy eye witness accounts of dramatic events appeared to reduce staff's personal accountability. We conclude that interactional processes affect the meaningfulness of MDRs. In-depth, critical analysis depends on resisting 'passing the buck' by practitioners and chairs especially, who are also key to fostering participation and extracting value from multidisciplinary representation. Our innovative methods provide detailed insights into MDRs as an interactional process, which can inform design of training aimed at enhancing MDR members' skills. However, given the multitude of systemic challenges we

  12. An analysis of natural ventilation techniques to achieve indoor comfort in Wal-Mart express

    Science.gov (United States)

    O'Dea, Shona

    Despite global efforts to reduce world fossil fuel dependency the world still obtains 81% of its energy from fossil fuels (IEA,2009). Modern renewable alternatives have been around since the mid twentieth century these alternatives have not been integrated into electrical grid systems at the exponential rate required to eradicate fossil fuels dependency. The problem, world energy demand, is too large to be satisfied by anything other than the energy-dense fossil fuels used today. We must change our energy intensive processes in order to conserve energy and hence reduce the demands that alternatives must satisfy. This research aims to identify sustainable design opportunities through the application of innovative technologies for the largest retailer in the US with the view that a viable conservative design measure could be applied to the store model, which is replicated across the country, causing a cumulative and hence larger impact on the company energy consumption as a whole. This paper will present the literature available on the 'big box' industry and Wal-Mart, comfort, natural ventilation and building simulation software and then perform an analysis into the viability of naturally ventilating the Wal-Mart Express sales zone using Monodraught natural ventilation windcatcher products

  13. A systematic analysis of backbone amide assignments achieved via combinatorial selective labelling of amino acids

    Energy Technology Data Exchange (ETDEWEB)

    Jeremy Craven, C. [University of Sheffield, Department of Biotechnology and Molecular Biology (United Kingdom); Al-Owais, Moza; Parker, Martin J. [University of Leeds, Astbury Centre for Structural Molecular Biology, Institute of Molecular and Cellular Biology (United Kingdom)], E-mail: m.j.parker@leeds.ac.uk

    2007-06-15

    With the advent of high-yield cell-free expressions systems, many researchers are exploiting selective isotope labelling of amino acids to increase the efficiency and accuracy of the NMR assignment process. We developed recently a combinatorial selective labelling (CSL) method capable of yielding large numbers of residue-type and sequence-specific backbone amide assignments, which involves comparing cross-peak intensities in {sup 1}H-{sup 15}N HSQC and 2D {sup 1}H-{sup 15}N HNCO spectra collected for five samples containing different combinations of {sup 13}C- and {sup 15}N-labelled amino acids [Parker MJ, Aulton-Jones M, Hounslow A, Craven C J (2004) J Am Chem Soc 126:5020-5021]. In this paper we develop a robust method for establishing the reliability of these assignments. We have performed a detailed statistical analysis of the CSL data collected for a model system (the B1 domain of protein G from Streptococcus), developing a scoring method which allows the confidence in assignments to be assessed, and which enables the effects of overlap on assignment fidelity to be predicted. To further test the scoring method and also to assess the performance of CSL in relation to sample quality, we have applied the method to the CSL data collected for GFP in our previous study.

  14. Achieving success in intervention studies: an analysis of variable staff engagement across three midwifery settings.

    Science.gov (United States)

    Henderson, Amanda; Schoonbeek, Sue; Ossenberg, Christine; Caddick, Alison; Wing, Diane; Capell, Lorna; Gould, Karen

    2014-06-01

    To critically analyse the success of staff's behaviour changes in the practice setting. Facilitators were employed to initiate and facilitate a four-step process (optimism, overcoming obstacles, oversight and reinforcing outcomes) that fostered development of behaviours consistent with learning in everyday practice. Many studies seek to engage staff in workplace behaviour improvement. The success of such studies is highly variable. Little is known about the work of the facilitator in ensuring success. Understanding the contextual factors that contribute to effective facilitation of workplace improvement is essential to ensure best use of resources. Mixed methods Facilitators employed a four-step process - optimism, overcoming obstacles, oversight and reinforcing outcomes - to stage behaviour change implementation. The analysis of staff engagement in behaviour changes was assessed through weekly observation of workplaces, informal discussions with staff and facilitator diaries. The impact of behaviour change was informed through pre- and postsurveys on staff's perception across three midwifery sites. Surveys measured (1) midwives' perception of support for their role in facilitating learning (Support Instrument for Nurses Facilitating the Learning of Others) and (2) development of a learning culture in midwifery practice settings (Clinical Learning Organisational Culture Survey). Midwives across three sites completed the presurvey (n = 216) and postsurvey (n = 90). Impact varied according to the degree that facilitators were able to progress teams through four stages necessary for change (OOORO). Statistically significant results were apparent in two subscales important for supporting staff, namely teamwork and acknowledgement; in the two areas, facilitators worked through 'obstacles' and coached staff in performing the desired behaviours and rewarded them for their success. Elements of the learning culture also statistically improved in one site. Findings suggest

  15. The Investigation of NPP Control and Monitoring Functional Analysis Applied to Functional Displays’ Implementation

    International Nuclear Information System (INIS)

    Yan, J.

    2015-01-01

    NPP Control and Monitoring System has been recognised as extreme and safe as well as large scale product, thus it was one of the most major design activities that fully, accurately and operationally functional analysis. The results of functional analysis would be employed as initial instruction through the whole lifecycle of NPP Control and Monitoring System. In this paper, it was discovered that several disadvantages of present functional analysis methods included FAST, The Subtract and Operate Procedure and Functional Procedure Method; owing to the identity methods enveloped here was the combination of Functional Tree and System Structure, as well as its decomposition steps; and RCS Inventory Control function which is defined as one of the most significant control functions in Advanced Light Water Reactor Utility Requirement Document has been employed to demonstrate the feasibility of this method; the analysis results of RCS Inventory function has been applied to direct the design and implementation of related displays, here the functional display of RCS Inventory Control function has been implemented on NuCON which is originated by SNPAS. Owing to the analyzing results, it would be ensured that the accuracy of information displayed to operators, thus the operator would be aware the condition of systems and then make the proper move to ensure the safety and productivity of NPP based on the received data. (author)

  16. Magnetothermoelastic creep analysis of functionally graded cylinders

    International Nuclear Information System (INIS)

    Loghman, A.; Ghorbanpour Arani, A.; Amir, S.; Vajedi, A.

    2010-01-01

    This paper describes time-dependent creep stress redistribution analysis of a thick-walled FGM cylinder placed in uniform magnetic and temperature fields and subjected to an internal pressure. The material creep, magnetic and mechanical properties through the radial graded direction are assumed to obey the simple power law variation. Total strains are assumed to be the sum of elastic, thermal and creep strains. Creep strains are time, temperature and stress dependent. Using equations of equilibrium, stress-strain and strain-displacement a differential equation, containing creep strains, for displacement is obtained. Ignoring creep strains in this differential equation a closed form solution for the displacement and initial magnetothermoelastic stresses at zero time is presented. Initial magnetothermoelastic stresses are illustrated for different material properties. Using Prandtl-Reuss relation in conjunction with the above differential equation and the Norton's law for the material uniaxial creep constitutive model, the radial displacement rate is obtained and then the radial and circumferential creep stress rates are calculated. Creep stress rates are plotted against dimensionless radius for different material properties. Using creep stress rates, stress redistributions are calculated iteratively using magnetothermoelastic stresses as initial values for stress redistributions. It has been found that radial stress redistributions are not significant for different material properties, however major redistributions occur for circumferential and effective stresses.

  17. E16 Sandvika-Wøyen - Analysis of tunnel excavation, achieved contour quality and influence of applied initiation system.

    OpenAIRE

    Sklodowska, Anna Maria

    2016-01-01

    The drill and blast excavation method is the most commonly used method for tunnel construction in Norway. In D&B the results from blasting can be evaluated through several factors, such as pull percentage, vibration level and contour quality. The main goal of the thesis was to analyze excavation with a special focus on the quality of the achieved contour and the influence of the applied initiation system. The analysis was performed based on results from the Bjørnegård tunnel, which wa...

  18. Cost of product functions using analysis of value

    Directory of Open Access Journals (Sweden)

    Luminita Parv

    2016-09-01

    Full Text Available The value of use is a specific notion but of a great generality that makes the product be regarded as a complex system that transforms itself in time, thus undergoing evolution. Therefore, the product is important not in itself, but for the sake of the requirements it satisfies and for the functions it provides. In the analysis of value there are connections of a technical nature that implicitly lead to connections of an economic nature. Thus, the method of the ”analysis of value” will actually examine the cost of product functions, the aim of the method being the balance of functions costs on the basis of their importance for the product. Identifying the functions represents one of the important stages of the analysis of value. The difficulty in fixing the functions derives from the fact that there are not any rules clear enough for this activity, but only principles

  19. Use of linear discriminant function analysis in seed morphotype ...

    African Journals Online (AJOL)

    Use of linear discriminant function analysis in seed morphotype relationship study in 31 ... Data were collected on 100-seed weight, seed length and seed width. ... to the Mesoamerican gene pool, comprising the cultigroups Sieva-Big Lima, ...

  20. Spectral Analysis of Traffic Functions in Urban Areas

    Directory of Open Access Journals (Sweden)

    Florin Nemtanu

    2015-12-01

    Full Text Available The paper is focused on the Fourier transform application in urban traffic analysis and the use of said transform in traffic decomposition. The traffic function is defined as traffic flow generated by different categories of traffic participants. A Fourier analysis was elaborated in terms of identifying the main traffic function components, called traffic sub-functions. This paper presents the results of the method being applied in a real case situation, that is, an intersection in the city of Bucharest where the effect of a bus line was analysed. The analysis was done using different time scales, while three different traffic functions were defined to demonstrate the theoretical effect of the proposed method of analysis. An extension of the method is proposed to be applied in urban areas, especially in the areas covered by predictive traffic control.

  1. QCD analysis of structure functions in terms of Jacobi polynomials

    International Nuclear Information System (INIS)

    Krivokhizhin, V.G.; Kurlovich, S.P.; Savin, I.A.; Sidorov, A.V.; Skachkov, N.B.; Sanadze, V.V.

    1987-01-01

    A new method of QCD-analysis of singlet and nonsinglet structure functions based on their expansion in orthogonal Jacobi polynomials is proposed. An accuracy of the method is studied and its application is demonstrated using the structure function F 2 (x,Q 2 ) obtained by the EMC Collaboration from measurements with an iron target. (orig.)

  2. An introduction with medical applications to functional data analysis

    DEFF Research Database (Denmark)

    Sørensen, Helle; Goldsmith, Jeff; Sangalli, Laura M

    2013-01-01

    Functional data are data that can be represented by suitable functions, such as curves (potentially multi-dimensional) or surfaces. This paper gives an introduction to some basic but important techniques for the analysis of such data, and we apply the techniques to two datasets from biomedicine. ...

  3. Proteomic analysis of the Arabidopsis nucleolus suggests novel nucleolar functions

    DEFF Research Database (Denmark)

    Pendle, Alison F; Clark, Gillian P; Boon, Reinier

    2005-01-01

    The eukaryotic nucleolus is involved in ribosome biogenesis and a wide range of other RNA metabolism and cellular functions. An important step in the functional analysis of the nucleolus is to determine the complement of proteins of this nuclear compartment. Here, we describe the first proteomic ...

  4. Multidisciplinary team approach in the oral rehabilitation of patients with cleidocranial dysplasia to achieve a functional aesthetic outcome.

    Science.gov (United States)

    Patel, D; Patel, N; Brennan, P A; Kwok, J

    2017-11-01

    Cleidocranial dysplasia is a hereditary congenital disorder that results in delayed ossification of midline structures, and is caused by mutations in the RunX2 (runt-related transcription factor 2) gene located on the short arm of chromosome 6. Successful treatment depends on multidisciplinary assessment and a comprehensive staged treatment plan. We present a case series of 12 patients who were managed with a specifically tailored combination of surgery, orthodontics, and prosthodontics to provide a functional dentition and restore their smile and facial contour. Successful dental rehabilitation can be challenging in this group because patients often have multiple dental anomalies and a reduced quantity and density of alveolar bone. Rehabilitation with early intervention and a carefully planned multidisciplinary approach has been successful in the long term. Copyright © 2017 The British Association of Oral and Maxillofacial Surgeons. Published by Elsevier Ltd. All rights reserved.

  5. Functional Principal Components Analysis of Shanghai Stock Exchange 50 Index

    Directory of Open Access Journals (Sweden)

    Zhiliang Wang

    2014-01-01

    Full Text Available The main purpose of this paper is to explore the principle components of Shanghai stock exchange 50 index by means of functional principal component analysis (FPCA. Functional data analysis (FDA deals with random variables (or process with realizations in the smooth functional space. One of the most popular FDA techniques is functional principal component analysis, which was introduced for the statistical analysis of a set of financial time series from an explorative point of view. FPCA is the functional analogue of the well-known dimension reduction technique in the multivariate statistical analysis, searching for linear transformations of the random vector with the maximal variance. In this paper, we studied the monthly return volatility of Shanghai stock exchange 50 index (SSE50. Using FPCA to reduce dimension to a finite level, we extracted the most significant components of the data and some relevant statistical features of such related datasets. The calculated results show that regarding the samples as random functions is rational. Compared with the ordinary principle component analysis, FPCA can solve the problem of different dimensions in the samples. And FPCA is a convenient approach to extract the main variance factors.

  6. Analyzing coastal environments by means of functional data analysis

    Science.gov (United States)

    Sierra, Carlos; Flor-Blanco, Germán; Ordoñez, Celestino; Flor, Germán; Gallego, José R.

    2017-07-01

    Here we used Functional Data Analysis (FDA) to examine particle-size distributions (PSDs) in a beach/shallow marine sedimentary environment in Gijón Bay (NW Spain). The work involved both Functional Principal Components Analysis (FPCA) and Functional Cluster Analysis (FCA). The grainsize of the sand samples was characterized by means of laser dispersion spectroscopy. Within this framework, FPCA was used as a dimension reduction technique to explore and uncover patterns in grain-size frequency curves. This procedure proved useful to describe variability in the structure of the data set. Moreover, an alternative approach, FCA, was applied to identify clusters and to interpret their spatial distribution. Results obtained with this latter technique were compared with those obtained by means of two vector approaches that combine PCA with CA (Cluster Analysis). The first method, the point density function (PDF), was employed after adapting a log-normal distribution to each PSD and resuming each of the density functions by its mean, sorting, skewness and kurtosis. The second applied a centered-log-ratio (clr) to the original data. PCA was then applied to the transformed data, and finally CA to the retained principal component scores. The study revealed functional data analysis, specifically FPCA and FCA, as a suitable alternative with considerable advantages over traditional vector analysis techniques in sedimentary geology studies.

  7. Function analysis and function assignment of NPP advanced main control room

    International Nuclear Information System (INIS)

    Zheng Mingguang; Xu Jijun

    2001-01-01

    The author addresses the requirements of function analysis and function assignment, which should be carried out in the design of main control room in nuclear power plant according to the design research of advanced main control room, then states its contents, functions, importance and necessity as well as how to implement these requirements and how to do design verification and validation in the design of advanced main control room of nuclear power plant

  8. Function modeling: improved raster analysis through delayed reading and function raster datasets

    Science.gov (United States)

    John S. Hogland; Nathaniel M. Anderson; J .Greg Jones

    2013-01-01

    Raster modeling is an integral component of spatial analysis. However, conventional raster modeling techniques can require a substantial amount of processing time and storage space, often limiting the types of analyses that can be performed. To address this issue, we have developed Function Modeling. Function Modeling is a new modeling framework that streamlines the...

  9. Functional Analysis in Public Schools: A Summary of 90 Functional Analyses

    Science.gov (United States)

    Mueller, Michael M.; Nkosi, Ajamu; Hine, Jeffrey F.

    2011-01-01

    Several review and epidemiological studies have been conducted over recent years to inform behavior analysts of functional analysis outcomes. None to date have closely examined demographic and clinical data for functional analyses conducted exclusively in public school settings. The current paper presents a data-based summary of 90 functional…

  10. Efficient Bayesian hierarchical functional data analysis with basis function approximations using Gaussian-Wishart processes.

    Science.gov (United States)

    Yang, Jingjing; Cox, Dennis D; Lee, Jong Soo; Ren, Peng; Choi, Taeryon

    2017-12-01

    Functional data are defined as realizations of random functions (mostly smooth functions) varying over a continuum, which are usually collected on discretized grids with measurement errors. In order to accurately smooth noisy functional observations and deal with the issue of high-dimensional observation grids, we propose a novel Bayesian method based on the Bayesian hierarchical model with a Gaussian-Wishart process prior and basis function representations. We first derive an induced model for the basis-function coefficients of the functional data, and then use this model to conduct posterior inference through Markov chain Monte Carlo methods. Compared to the standard Bayesian inference that suffers serious computational burden and instability in analyzing high-dimensional functional data, our method greatly improves the computational scalability and stability, while inheriting the advantage of simultaneously smoothing raw observations and estimating the mean-covariance functions in a nonparametric way. In addition, our method can naturally handle functional data observed on random or uncommon grids. Simulation and real studies demonstrate that our method produces similar results to those obtainable by the standard Bayesian inference with low-dimensional common grids, while efficiently smoothing and estimating functional data with random and high-dimensional observation grids when the standard Bayesian inference fails. In conclusion, our method can efficiently smooth and estimate high-dimensional functional data, providing one way to resolve the curse of dimensionality for Bayesian functional data analysis with Gaussian-Wishart processes. © 2017, The International Biometric Society.

  11. Nonlinear Control of an Active Magnetic Bearing System Achieved Using a Fuzzy Control with Radial Basis Function Neural Network

    Directory of Open Access Journals (Sweden)

    Seng-Chi Chen

    2014-01-01

    Full Text Available Studies on active magnetic bearing (AMB systems are increasing in popularity and practical applications. Magnetic bearings cause less noise, friction, and vibration than the conventional mechanical bearings; however, the control of AMB systems requires further investigation. The magnetic force has a highly nonlinear relation to the control current and the air gap. This paper proposes an intelligent control method for positioning an AMB system that uses a neural fuzzy controller (NFC. The mathematical model of an AMB system comprises identification followed by collection of information from this system. A fuzzy logic controller (FLC, the parameters of which are adjusted using a radial basis function neural network (RBFNN, is applied to the unbalanced vibration in an AMB system. The AMB system exhibited a satisfactory control performance, with low overshoot, and produced improved transient and steady-state responses under various operating conditions. The NFC has been verified on a prototype AMB system. The proposed controller can be feasibly applied to AMB systems exposed to various external disturbances; demonstrating the effectiveness of the NFC with self-learning and self-improving capacities is proven.

  12. Complex analysis a modern first course in function theory

    CERN Document Server

    Muir, Jerry R

    2015-01-01

    A thorough introduction to the theory of complex functions emphasizing the beauty, power, and counterintuitive nature of the subject Written with a reader-friendly approach, Complex Analysis: A Modern First Course in Function Theory features a self-contained, concise development of the fundamental principles of complex analysis. After laying groundwork on complex numbers and the calculus and geometric mapping properties of functions of a complex variable, the author uses power series as a unifying theme to define and study the many rich and occasionally surprising properties of analytic fun

  13. Optimal choice of basis functions in the linear regression analysis

    International Nuclear Information System (INIS)

    Khotinskij, A.M.

    1988-01-01

    Problem of optimal choice of basis functions in the linear regression analysis is investigated. Step algorithm with estimation of its efficiency, which holds true at finite number of measurements, is suggested. Conditions, providing the probability of correct choice close to 1 are formulated. Application of the step algorithm to analysis of decay curves is substantiated. 8 refs

  14. Economic analysis of evolution/devolution of electronic devices functionality

    Directory of Open Access Journals (Sweden)

    Esipov A. S.

    2017-12-01

    Full Text Available the researcher of this article has presented the analysis of evolution/devolution of electronic devices functionality as well as the analysis of the current situation at the computers and mobile devices market, and some thoughts about new products. Is a newer device better? Are corporations producing really new devices or they are only the improvement of old ones.

  15. Trial-Based Functional Analysis Informs Treatment for Vocal Scripting.

    Science.gov (United States)

    Rispoli, Mandy; Brodhead, Matthew; Wolfe, Katie; Gregori, Emily

    2018-05-01

    Research on trial-based functional analysis has primarily focused on socially maintained challenging behaviors. However, procedural modifications may be necessary to clarify ambiguous assessment results. The purposes of this study were to evaluate the utility of iterative modifications to trial-based functional analysis on the identification of putative reinforcement and subsequent treatment for vocal scripting. For all participants, modifications to the trial-based functional analysis identified a primary function of automatic reinforcement. The structure of the trial-based format led to identification of social attention as an abolishing operation for vocal scripting. A noncontingent attention treatment was evaluated using withdrawal designs for each participant. This noncontingent attention treatment resulted in near zero levels of vocal scripting for all participants. Implications for research and practice are presented.

  16. Apply Functional Modelling to Consequence Analysis in Supervision Systems

    DEFF Research Database (Denmark)

    Zhang, Xinxin; Lind, Morten; Gola, Giulio

    2013-01-01

    This paper will first present the purpose and goals of applying functional modelling approach to consequence analysis by adopting Multilevel Flow Modelling (MFM). MFM Models describe a complex system in multiple abstraction levels in both means-end dimension and whole-part dimension. It contains...... consequence analysis to practical or online applications in supervision systems. It will also suggest a multiagent solution as the integration architecture for developing tools to facilitate the utilization results of functional consequence analysis. Finally a prototype of the multiagent reasoning system...... causal relations between functions and goals. A rule base system can be developed to trace the causal relations and perform consequence propagations. This paper will illustrate how to use MFM for consequence reasoning by using rule base technology and describe the challenges for integrating functional...

  17. Analysis of Lamellar Structures with Application of Generalized Functions

    Directory of Open Access Journals (Sweden)

    Kipiani Gela

    2016-12-01

    Full Text Available Theory of differential equations in respect of the functional area is based on the basic concepts on generalized functions and splines. There are some basic concepts related to the theory of generalized functions and their properties are considered in relation to the rod systems and lamellar structures. The application of generalized functions gives the possibility to effectively calculate step-variable stiffness lamellar structures. There are also widely applied structures, in that several in which a number of parallel load bearing layers are interconnected by discrete-elastic links. For analysis of system under study, such as design diagrams, there are applied discrete and discrete-continual models.

  18. On Special Functions in the Context of Clifford Analysis

    Science.gov (United States)

    Malonek, H. R.; Falcão, M. I.

    2010-09-01

    Considering the foundation of Quaternionic Analysis by R. Fueter and his collaborators in the beginning of the 1930s as starting point of Clifford Analysis, we can look back to 80 years of work in this field. However the interest in multivariate analysis using Clifford algebras only started to grow significantly in the 70s. Since then a great amount of papers on Clifford Analysis referring different classes of Special Functions have appeared. This situation may have been triggered by a more systematic treatment of monogenic functions by their multiple series development derived from Gegenbauer or associated Legendre polynomials (and not only by their integral representation). Also approaches to Special Functions by means of algebraic methods, either Lie algebras or through Lie groups and symmetric spaces gained by that time importance and influenced their treatment in Clifford Analysis. In our talk we will rely on the generalization of the classical approach to Special Functions through differential equations with respect to the hypercomplex derivative, which is a more recently developed tool in Clifford Analysis. In this context special attention will be payed to the role of Special Functions as intermediator between continuous and discrete mathematics. This corresponds to a more recent trend in combinatorics, since it has been revealed that many algebraic structures have hidden combinatorial underpinnings.

  19. Effects of a free school breakfast programme on school attendance, achievement, psychosocial function, and nutrition: a stepped wedge cluster randomised trial

    Directory of Open Access Journals (Sweden)

    Maddison Ralph

    2010-11-01

    Full Text Available Abstract Background Approximately 55,000 children in New Zealand do not eat breakfast on any given day. Regular breakfast skipping has been associated with poor diets, higher body mass index, and adverse effects on children's behaviour and academic performance. Research suggests that regular breakfast consumption can improve academic performance, nutrition and behaviour. This paper describes the protocol for a stepped wedge cluster randomised trial of a free school breakfast programme. The aim of the trial is to determine the effects of the breakfast intervention on school attendance, achievement, psychosocial function, dietary habits and food security. Methods/Design Sixteen primary schools in the North Island of New Zealand will be randomised in a sequential stepped wedge design to a free before-school breakfast programme consisting of non-sugar coated breakfast cereal, milk products, and/or toast and spreads. Four hundred children aged 5-13 years (approximately 25 per school will be recruited. Data collection will be undertaken once each school term over the 2010 school year (February to December. The primary trial outcome is school attendance, defined as the proportion of students achieving an attendance rate of 95% or higher. Secondary outcomes are academic achievement (literacy, numeracy, self-reported grades, sense of belonging at school, psychosocial function, dietary habits, and food security. A concurrent process evaluation seeks information on parents', schools' and providers' perspectives of the breakfast programme. Discussion This randomised controlled trial will provide robust evidence of the effects of a school breakfast programme on students' attendance, achievement and nutrition. Furthermore the study provides an excellent example of the feasibility and value of the stepped wedge trial design in evaluating pragmatic public health intervention programmes. Trial Registration Number Australian New Zealand Clinical Trials Registry

  20. Effects of a free school breakfast programme on school attendance, achievement, psychosocial function, and nutrition: a stepped wedge cluster randomised trial.

    Science.gov (United States)

    Ni Mhurchu, Cliona; Turley, Maria; Gorton, Delvina; Jiang, Yannan; Michie, Jo; Maddison, Ralph; Hattie, John

    2010-11-29

    Approximately 55,000 children in New Zealand do not eat breakfast on any given day. Regular breakfast skipping has been associated with poor diets, higher body mass index, and adverse effects on children's behaviour and academic performance. Research suggests that regular breakfast consumption can improve academic performance, nutrition and behaviour. This paper describes the protocol for a stepped wedge cluster randomised trial of a free school breakfast programme. The aim of the trial is to determine the effects of the breakfast intervention on school attendance, achievement, psychosocial function, dietary habits and food security. Sixteen primary schools in the North Island of New Zealand will be randomised in a sequential stepped wedge design to a free before-school breakfast programme consisting of non-sugar coated breakfast cereal, milk products, and/or toast and spreads. Four hundred children aged 5-13 years (approximately 25 per school) will be recruited. Data collection will be undertaken once each school term over the 2010 school year (February to December). The primary trial outcome is school attendance, defined as the proportion of students achieving an attendance rate of 95% or higher. Secondary outcomes are academic achievement (literacy, numeracy, self-reported grades), sense of belonging at school, psychosocial function, dietary habits, and food security. A concurrent process evaluation seeks information on parents', schools' and providers' perspectives of the breakfast programme. This randomised controlled trial will provide robust evidence of the effects of a school breakfast programme on students' attendance, achievement and nutrition. Furthermore the study provides an excellent example of the feasibility and value of the stepped wedge trial design in evaluating pragmatic public health intervention programmes. Australian New Zealand Clinical Trials Registry (ANZCTR) - ACTRN12609000854235.

  1. An Analysis of Determinants of Under-5 Mortality across Countries: Defining Priorities to Achieve Targets in Sustainable Developmental Goals.

    Science.gov (United States)

    Acheampong, Michael; Ejiofor, Chukwudi; Salinas-Miranda, Abraham

    2017-06-01

    Objectives The end of the era of millennium development goals (MDGs) ushered in the sustainable development goals (SDGs) with a new target for the reduction of under-five mortality rates (U5MR). Although U5MR decreased globally, the reduction was insufficient to meet MDGs targets because significant socioeconomic inequities remain unaddressed across and within countries. Thus, further progress in achieving the new SDGs target will be hindered if there is no adequate prioritization of important socioeconomic, healthcare, and environmental factors. The objective of this study was to assess factors that account most for the differences in U5MR between countries around the globe. Methods We conducted an ordinary least squares (OLS) regression-based prioritization analysis of socioeconomic, healthcare, and environmental variables from 109 countries to understand which factors explain the differences in U5MR best. Results All indicators examined individually affected differences in U5MR between countries. However, the results of multivariate OLS regression showed that the most important factors that accounted for the differences were, in order: fertility rate, total health expenditure per capita, access to improved water and sanitation, and female employment rate. Conclusions To achieve the new global target for U5MR, policymakers must focus on certain priority areas, such as interventions that address access to affordable maternal healthcare services, educational programs for mothers, especially those who are adolescents, and safe drinking water and sanitation.

  2. ANALYSIS OF FACTORS CAUSE LOW INFANT IMMUNIZATION ACHIEVEMENTS IN TANJUNGSARI CLINICSANALYSIS OF FACTORS CAUSE LOW INFANT IMMUNIZATION ACHIEVEMENTS IN PUBLIC HEALTH DISTRIC

    Directory of Open Access Journals (Sweden)

    Juni Kurnia Santi

    2016-07-01

    Full Text Available Immunization is a promotif and preventive efforts in basic health services play an important role in the decline of infant mortality that occurs due to a disease that can be prevented by immunization (PD3I. Annual reports from public health Tanjungsari noted that the results of the coverage of immunization activities results of the baby has not yet reached the target UCI (Uneversal Child Immunization. An assumption of the reason for immunization low coverage was the way on how Public Heath Center implemented its management funtion : planning, actuacting (supervision, coordination, cold chain, work load, motivation, evaluating and the result of baby`s immunization program. The risset of study is observational study. tanjunsari Public Health Center district the unit of analysis of this study. The object of study was all immunization program documentation which constituted of planning, implementation, supervision check list, coordination check list, evaluation documents as well as the document of coverage results. The respondent were the personnel of immunization program. The results of study revealed baby`s immunization until four years old is 86% campak, 89% DPT1, 86% DPT3, 87% Polio4, 84% BCG dan 85% HB3. Conclusively, it can derived that was discovered that the coverage of baby`s immunization was far below the UCI (Universal Child Immunization standart in public health, implementatiton (supervision, coordination, clod chain, load work, motivation and evaluating immunization program has nor been performed well. The inhibiting factors are now knowledge the process Planning Of Action formulation, no supervision to immunization program dan insufficient motivation to personnel immunization program. Key words : planning, immunization program, Public Health

  3. Spatial Analysis of the National Evaluation of Scholastic Achievement (ENLACE in Schools of the Municipality of Juarez, Chihuahua

    Directory of Open Access Journals (Sweden)

    Luis Ernesto Cervera Gómez

    2008-05-01

    Full Text Available This research was focused on analyzing the results of the first National Assessment of Academic Achievement for Scholar Centers (ENLACE; acronym in Spanish applied during the year 2006 in the Municipality of Juarez (State of Chihuahua, Mexico. In order to conduct the spatial analysis a geographical information system (GIS was used to make a georeferenced database were all variables were connected to a point representing a school. Results of the examinations expressed as deficient, elemental, good en excellent were spatially distributed over the urban area of Ciudad Juárez. Apparently there is a high spatial correlation between ENLACE’s results with the socioeconomic level of people. In this way results going from good to excellent were spatially located over the sectors more developed of the city. Poor results going from Insufficient to Elemental were spatially located at places with higher deficits of infrastructure and low socioeconomic levels.

  4. Research on the psychological gap, personality and achievement of in-school youth based on regression analysis

    Directory of Open Access Journals (Sweden)

    Lei Zhou

    2017-02-01

    Full Text Available Although our society is in rapid development, the psychological problems among in-school university students are increasingly obvious. According to this problem, this thesis applied the Psychological Gap Scale made by Caixia Ma with EPQ and AMS, and made random questionnaire survey among 400 students in a comprehensive university. The survey found out that the average scores of all psychological gap dimensions exceeded the critical value 3, showing most students in that university have psychological gap. Their personality stability, introversion and extroversion are all above the national norm level while their stubbornness is lower than it. Besides, the students’ motivation in pursuing success is stronger than their motivation in avoiding failure. In the last part, this thesis reached the conclusion that personality leaves a great impact in the students’ psychology through regression analysis model and study of the quantitative relations among personality, achievement and psychological gap.

  5. Identification and analysis of labor productivity components based on ACHIEVE model (case study: staff of Kermanshah University of Medical Sciences).

    Science.gov (United States)

    Ziapour, Arash; Khatony, Alireza; Kianipour, Neda; Jafary, Faranak

    2014-12-15

    Identification and analysis of the components of labor productivity based on ACHIEVE model was performed among employees in different parts of Kermanshah University of Medical Sciences in 2014. This was a descriptive correlational study in which the population consisted of 270 working personnel in different administrative groups (contractual, fixed- term and regular) at Kermanshah University of Medical Sciences (872 people) that were selected among 872 people through stratified random sampling method based on Krejcie and Morgan sampling table. The survey tool included labor productivity questionnaire of ACHIEVE. Questionnaires were confirmed in terms of content and face validity, and their reliability was calculated using Cronbach's alpha coefficient. The data were analyzed by SPSS-18 software using descriptive and inferential statistics. The mean scores for labor productivity dimensions of the employees, including environment (environmental fit), evaluation (training and performance feedback), validity (valid and legal exercise of personnel), incentive (motivation or desire), help (organizational support), clarity (role perception or understanding), ability (knowledge and skills) variables and total labor productivity were 4.10±0.630, 3.99±0.568, 3.97±0.607, 3.76±0.701, 3.63±0.746, 3.59±0.777, 3.49±0.882 and 26.54±4.347, respectively. Also, the results indicated that the seven factors of environment, performance assessment, validity, motivation, organizational support, clarity, and ability were effective in increasing labor productivity. The analysis of the current status of university staff in the employees' viewpoint suggested that the two factors of environment and evaluation, which had the greatest impact on labor productivity in the viewpoint of the staff, were in a favorable condition and needed to be further taken into consideration by authorities.

  6. Identification and Analysis of Labor Productivity Components Based on ACHIEVE Model (Case Study: Staff of Kermanshah University of Medical Sciences)

    Science.gov (United States)

    Ziapour, Arash; Khatony, Alireza; Kianipour, Neda; Jafary, Faranak

    2015-01-01

    Identification and analysis of the components of labor productivity based on ACHIEVE model was performed among employees in different parts of Kermanshah University of Medical Sciences in 2014. This was a descriptive correlational study in which the population consisted of 270 working personnel in different administrative groups (contractual, fixed- term and regular) at Kermanshah University of Medical Sciences (872 people) that were selected among 872 people through stratified random sampling method based on Krejcie and Morgan sampling table. The survey tool included labor productivity questionnaire of ACHIEVE. Questionnaires were confirmed in terms of content and face validity, and their reliability was calculated using Cronbach’s alpha coefficient. The data were analyzed by SPSS-18 software using descriptive and inferential statistics. The mean scores for labor productivity dimensions of the employees, including environment (environmental fit), evaluation (training and performance feedback), validity (valid and legal exercise of personnel), incentive (motivation or desire), help (organizational support), clarity (role perception or understanding), ability (knowledge and skills) variables and total labor productivity were 4.10±0.630, 3.99±0.568, 3.97±0.607, 3.76±0.701, 3.63±0.746, 3.59±0.777, 3.49±0.882 and 26.54±4.347, respectively. Also, the results indicated that the seven factors of environment, performance assessment, validity, motivation, organizational support, clarity, and ability were effective in increasing labor productivity. The analysis of the current status of university staff in the employees’ viewpoint suggested that the two factors of environment and evaluation, which had the greatest impact on labor productivity in the viewpoint of the staff, were in a favorable condition and needed to be further taken into consideration by authorities. PMID:25560364

  7. Square function analysis of the Inductor-Converter Bridge

    International Nuclear Information System (INIS)

    Ehsani, M.; Kustom, R.L.

    1979-03-01

    The transfer of energy between two superconducting coils can be controlled with an Inductor-Converter Bridge (ICB) by changing the relative timing between the storage side bridge and the load side bridge. The average voltages on the coils have been previously derived as a function of relative timing between the two halves of the bridges and the relative currents in the two coils using a one-line, harmonic current source representation of each coil and its bridge network. Since the coil current in each of the ICB phases appears as bipolar rectangular pulses, an analysis based on unit step functions has been developed. The unit step function analysis leads to simple polynomial expressions relating the average coil voltages to relative timing. The new derivations are shown to have the same harmonic representation as previously developed. The polynomial expressions are more compatible to microprocessor control than are the harmonic function expressions

  8. Three pillars for achieving quantum mechanical molecular dynamics simulations of huge systems: Divide-and-conquer, density-functional tight-binding, and massively parallel computation.

    Science.gov (United States)

    Nishizawa, Hiroaki; Nishimura, Yoshifumi; Kobayashi, Masato; Irle, Stephan; Nakai, Hiromi

    2016-08-05

    The linear-scaling divide-and-conquer (DC) quantum chemical methodology is applied to the density-functional tight-binding (DFTB) theory to develop a massively parallel program that achieves on-the-fly molecular reaction dynamics simulations of huge systems from scratch. The functions to perform large scale geometry optimization and molecular dynamics with DC-DFTB potential energy surface are implemented to the program called DC-DFTB-K. A novel interpolation-based algorithm is developed for parallelizing the determination of the Fermi level in the DC method. The performance of the DC-DFTB-K program is assessed using a laboratory computer and the K computer. Numerical tests show the high efficiency of the DC-DFTB-K program, a single-point energy gradient calculation of a one-million-atom system is completed within 60 s using 7290 nodes of the K computer. © 2016 Wiley Periodicals, Inc. © 2016 Wiley Periodicals, Inc.

  9. A Unified Approach to Functional Principal Component Analysis and Functional Multiple-Set Canonical Correlation.

    Science.gov (United States)

    Choi, Ji Yeh; Hwang, Heungsun; Yamamoto, Michio; Jung, Kwanghee; Woodward, Todd S

    2017-06-01

    Functional principal component analysis (FPCA) and functional multiple-set canonical correlation analysis (FMCCA) are data reduction techniques for functional data that are collected in the form of smooth curves or functions over a continuum such as time or space. In FPCA, low-dimensional components are extracted from a single functional dataset such that they explain the most variance of the dataset, whereas in FMCCA, low-dimensional components are obtained from each of multiple functional datasets in such a way that the associations among the components are maximized across the different sets. In this paper, we propose a unified approach to FPCA and FMCCA. The proposed approach subsumes both techniques as special cases. Furthermore, it permits a compromise between the techniques, such that components are obtained from each set of functional data to maximize their associations across different datasets, while accounting for the variance of the data well. We propose a single optimization criterion for the proposed approach, and develop an alternating regularized least squares algorithm to minimize the criterion in combination with basis function approximations to functions. We conduct a simulation study to investigate the performance of the proposed approach based on synthetic data. We also apply the approach for the analysis of multiple-subject functional magnetic resonance imaging data to obtain low-dimensional components of blood-oxygen level-dependent signal changes of the brain over time, which are highly correlated across the subjects as well as representative of the data. The extracted components are used to identify networks of neural activity that are commonly activated across the subjects while carrying out a working memory task.

  10. Determination of resonance parameters in QCD by functional analysis methods

    International Nuclear Information System (INIS)

    Ciulli, S.; Geniet, F.; Papadopoulos, N.A.; Schilcher, K.

    1988-01-01

    A mathematically rigorous method based on functional analysis is used to determine resonance parameters of an amplitude from its given asymptotic expression in the space-like region. This method is checked on a model amplitude where both the asymptotic expression and the exact function are known. This method is then applied to the determination of the mass and the width of the ρ-meson from the corresponding space-like asymptotic QCD expression. (orig.)

  11. Local properties of analytic functions and non-standard analysis

    International Nuclear Information System (INIS)

    O'Brian, N.R.

    1976-01-01

    This is an expository account which shows how the methods of non-standard analysis can be applied to prove the Nullstellensatz for germs of analytic functions. This method of proof was discovered originally by Abraham Robinson. The necessary concepts from model theory are described in some detail and the Nullstellensatz is proved by investigating the relation between the set of infinitesimal elements in the complex n-plane and the spectrum of the ring of germs of analytic functions. (author)

  12. Functional Parallel Factor Analysis for Functions of One- and Two-dimensional Arguments.

    Science.gov (United States)

    Choi, Ji Yeh; Hwang, Heungsun; Timmerman, Marieke E

    2018-03-01

    Parallel factor analysis (PARAFAC) is a useful multivariate method for decomposing three-way data that consist of three different types of entities simultaneously. This method estimates trilinear components, each of which is a low-dimensional representation of a set of entities, often called a mode, to explain the maximum variance of the data. Functional PARAFAC permits the entities in different modes to be smooth functions or curves, varying over a continuum, rather than a collection of unconnected responses. The existing functional PARAFAC methods handle functions of a one-dimensional argument (e.g., time) only. In this paper, we propose a new extension of functional PARAFAC for handling three-way data whose responses are sequenced along both a two-dimensional domain (e.g., a plane with x- and y-axis coordinates) and a one-dimensional argument. Technically, the proposed method combines PARAFAC with basis function expansion approximations, using a set of piecewise quadratic finite element basis functions for estimating two-dimensional smooth functions and a set of one-dimensional basis functions for estimating one-dimensional smooth functions. In a simulation study, the proposed method appeared to outperform the conventional PARAFAC. We apply the method to EEG data to demonstrate its empirical usefulness.

  13. Surface analysis of gold nanoparticles functionalized with thiol-modified glucose SAMs for biosensor applications.

    Directory of Open Access Journals (Sweden)

    Valentina eSpampinato

    2016-02-01

    Full Text Available In this work, Time of Flight Secondary Ion Mass Spectrometry (ToF-SIMS, Principal Component Analysis (PCA and X-ray Photoelectron Spectroscopy (XPS have been used to characterize the surface chemistry of gold substrates before and after functionalization with thiol-modified glucose self-assembled monolayers and subsequent biochemical specific recognition of maltose binding protein (MBP.The results indicate that the surface functionalization is achieved both on flat and nanoparticles gold substrates thus showing the potential of the developed system as biodetection platform. Moreover, the method presented here has been found to be a sound and valid approach to characterize the surface chemistry of nanoparticles functionalized with large molecules.Both techniques were proved to be very useful tools for monitoring all the functionalization steps, including the investigation of the biological behaviour of the glucose-modified particles in presence of the maltose binding protein.

  14. Extracting neuronal functional network dynamics via adaptive Granger causality analysis.

    Science.gov (United States)

    Sheikhattar, Alireza; Miran, Sina; Liu, Ji; Fritz, Jonathan B; Shamma, Shihab A; Kanold, Patrick O; Babadi, Behtash

    2018-04-24

    Quantifying the functional relations between the nodes in a network based on local observations is a key challenge in studying complex systems. Most existing time series analysis techniques for this purpose provide static estimates of the network properties, pertain to stationary Gaussian data, or do not take into account the ubiquitous sparsity in the underlying functional networks. When applied to spike recordings from neuronal ensembles undergoing rapid task-dependent dynamics, they thus hinder a precise statistical characterization of the dynamic neuronal functional networks underlying adaptive behavior. We develop a dynamic estimation and inference paradigm for extracting functional neuronal network dynamics in the sense of Granger, by integrating techniques from adaptive filtering, compressed sensing, point process theory, and high-dimensional statistics. We demonstrate the utility of our proposed paradigm through theoretical analysis, algorithm development, and application to synthetic and real data. Application of our techniques to two-photon Ca 2+ imaging experiments from the mouse auditory cortex reveals unique features of the functional neuronal network structures underlying spontaneous activity at unprecedented spatiotemporal resolution. Our analysis of simultaneous recordings from the ferret auditory and prefrontal cortical areas suggests evidence for the role of rapid top-down and bottom-up functional dynamics across these areas involved in robust attentive behavior.

  15. Landscape function analysis as a base of rural development strategies

    Directory of Open Access Journals (Sweden)

    Filepné Kovács Krisztina

    2017-11-01

    Full Text Available Research on ecosystem services and landscape functions are highly important in landscape ecology, landscape planning and open space design. The terms of ecosystem service and landscape function have been evolved parallel to each other in the scientific literature but have different focus. The term of landscape functions evolved from the scientific field of landscape ecology; it reflects the goods and services provided by regions, landscapes where the cultural, economic factors are important as well. As a framework assessment method with additional economic assessment, a landscape function analysis could be an additional tool of rural development, as it gives a complex analysis of multiple aspects, thus it is highly appropriate to explore, analyze the potentials, resources and limits of landscapes and land use systems. In the current research a landscape function analysis was compared with the rural development strategies in Hungarian micro-regions. We focused on the level of landscape functions and the objectives of the rural development strategies of the study areas. The local development strategies do not focus on territorial differences nor potentials evolving from natural, cultural resources or local constrains. The only exception is tourism development, where in some cases there is a holistic spatial approach which intends to develop the region as a whole.

  16. The role of function analysis in the ACR control centre design

    International Nuclear Information System (INIS)

    Leger, R.P.; Davey, E.C.

    2006-01-01

    An essential aspect of control centre design is the need to characterize: plant functions and their inter-relationships to support the achievement of operational goals, and roles for humans and automation in sharing and exchanging the execution of functions across all operational phases. Function analysis is a design activity that has been internationally accepted as an approach to satisfy this need. It is recognized as a fundamental and necessary component in the systematic approach to control centre design and is carried out early in the design process. A function analysis can provide a clear basis for: the control centre design for the purposes of design team communication, and customer or regulatory review, the control centre display and control systems, the staffing and layout requirements of the control centre, assessing the completeness of control centre displays and controls prior and supplementary to mock-up walkthroughs or simulator evaluations, and the design of operating procedures and training programs. This paper will explore the role for function analysis in supporting the design of the control centre. The development of the ACR control room will be used as an illustrative context for the discussion. The paper will also discuss the merits of using function analysis in a goal-or function-based approach resulting in a more robust, operationally compatible, and cost-effective design over the life of the plant. Two former papers have previously outlined, the evolution in AECL's application approach and lessons learned in applying function analysis in support of control room design. This paper provides the most recent update to this progression in application refinement. (author)

  17. Identifying functions for ex-core neutron noise analysis

    International Nuclear Information System (INIS)

    Avila, J.M.; Oliveira, J.C.

    1987-01-01

    A method of performing the phase analysis of signals arising from neutron detectors placed in the periphery of a pressurized water reactor is proposed. It consists in the definition of several identifying functions, based on the phases of cross power spectral densities corresponding to four ex-core neutron detectors. Each of these functions enhances the appearance of different sources of noise. The method, applied to the ex-core neutron fluctuation analysis of a French PWR, proved to be very useful as it allows quick recognition of various patterns in the power spectral densities. (orig.) [de

  18. Meeting the reactor operator's information needs using functional analysis

    International Nuclear Information System (INIS)

    Nelson, W.R.; Clark, M.T.

    1980-01-01

    Since the accident at Three Mile Island, many ideas have been proposed for assisting the reactor operator during emergency situations. However, some of the suggested remedies do not alleviate an important shortcoming of the TMI control room: the operators were not presented with the information they needed in a manner which would allow prompt diagnosis of the problem. To address this problem, functional analysis is being applied at the LOFT facility to ensure that the operator's information needs are being met in his procedures and graphic displays. This paper summarizes the current applications of functional analysis at LOFT

  19. Polynomial regression analysis and significance test of the regression function

    International Nuclear Information System (INIS)

    Gao Zhengming; Zhao Juan; He Shengping

    2012-01-01

    In order to analyze the decay heating power of a certain radioactive isotope per kilogram with polynomial regression method, the paper firstly demonstrated the broad usage of polynomial function and deduced its parameters with ordinary least squares estimate. Then significance test method of polynomial regression function is derived considering the similarity between the polynomial regression model and the multivariable linear regression model. Finally, polynomial regression analysis and significance test of the polynomial function are done to the decay heating power of the iso tope per kilogram in accord with the authors' real work. (authors)

  20. Characterization of technical surfaces by structure function analysis

    Science.gov (United States)

    Kalms, Michael; Kreis, Thomas; Bergmann, Ralf B.

    2018-03-01

    The structure function is a tool for characterizing technical surfaces that exhibits a number of advantages over Fourierbased analysis methods. So it is optimally suited for analyzing the height distributions of surfaces measured by full-field non-contacting methods. The structure function is thus a useful method to extract global or local criteria like e. g. periodicities, waviness, lay, or roughness to analyze and evaluate technical surfaces. After the definition of line- and area-structure function and offering effective procedures for their calculation this paper presents examples using simulated and measured data of technical surfaces including aircraft parts.

  1. Fractals and spectra related to fourier analysis and function spaces

    CERN Document Server

    Triebel, Hans

    1997-01-01

    Fractals and Spectra Hans Triebel This book deals with the symbiotic relationship between the theory of function spaces, fractal geometry, and spectral theory of (fractal) pseudodifferential operators as it has emerged quite recently. Atomic and quarkonial (subatomic) decompositions in scalar and vector valued function spaces on the euclidean n-space pave the way to study properties (compact embeddings, entropy numbers) of function spaces on and of fractals. On this basis, distributions of eigenvalues of fractal (pseudo)differential operators are investigated. Diverse versions of fractal drums are played. The book is directed to mathematicians interested in functional analysis, the theory of function spaces, fractal geometry, partial and pseudodifferential operators, and, in particular, in how these domains are interrelated. ------ It is worth mentioning that there is virtually no literature on this topic and hence the most of the presented material is published here the first time. - Zentralblatt MATH (…) ...

  2. Sequential designs for sensitivity analysis of functional inputs in computer experiments

    International Nuclear Information System (INIS)

    Fruth, J.; Roustant, O.; Kuhnt, S.

    2015-01-01

    Computer experiments are nowadays commonly used to analyze industrial processes aiming at achieving a wanted outcome. Sensitivity analysis plays an important role in exploring the actual impact of adjustable parameters on the response variable. In this work we focus on sensitivity analysis of a scalar-valued output of a time-consuming computer code depending on scalar and functional input parameters. We investigate a sequential methodology, based on piecewise constant functions and sequential bifurcation, which is both economical and fully interpretable. The new approach is applied to a sheet metal forming problem in three sequential steps, resulting in new insights into the behavior of the forming process over time. - Highlights: • Sensitivity analysis method for functional and scalar inputs is presented. • We focus on the discovery of most influential parts of the functional domain. • We investigate economical sequential methodology based on piecewise constant functions. • Normalized sensitivity indices are introduced and investigated theoretically. • Successful application to sheet metal forming on two functional inputs

  3. Multiple pregnancies achieved with IVF/ICSI and risk of specific congenital malformations: a meta-analysis of cohort studies.

    Science.gov (United States)

    Zheng, Zan; Chen, Letao; Yang, Tubao; Yu, Hong; Wang, Hua; Qin, Jiabi

    2018-04-01

    Studies comparing risk of specific congenital malformations (CM) between multiple pregnancies resulting from IVF/intracytoplasmic sperm injection (ICSI) and those conceived naturally report conflicting results; furthermore, there is a lack of a complete overview. This meta-analysis aimed to address which types of CM are increased in IVF/ICSI multiple pregnancies compared with those conceived naturally. All studies testing the association between IVF/ICSI multiple pregnancies and specific CM identified in various databases were considered. The literature search yielded 856 records, of which 21 cohort studies were included for analysis. Overall, multiple pregnancies achieved with IVF/ICSI experienced a significantly higher risk of chromosomal defects (relative risk [RR] = 1.36; 95% confidence interval [CI]: 1.04-1.77), urogenital (RR = 1.18; 95% CI: 1.03-1.36) and circulatory (RR = 1.22; 95% CI: 1.01-1.47) system malformations. However, the remaining specific CM, such as cleft lip and/or palate, eye, ear, face and neck, respiratory, musculoskeletal, nervous and digestive system malformations, were similar in the two groups. No substantial heterogeneity was observed for most outcomes except for digestive (P = 0.094; I 2 = 38.3%) and circulatory (P = 0.070; I 2 = 35.2%) system malformations. These findings provide additional information on risks of IVF/ICSI for use when counselling patients. Copyright © 2018 Reproductive Healthcare Ltd. Published by Elsevier Ltd. All rights reserved.

  4. Numerical analysis of data in dynamic function studies

    International Nuclear Information System (INIS)

    Riihimaeki, E.

    1975-01-01

    Relations between tracer theories, models for organ function and the numerical solution of parameters from tracer experiments are reviewed. A unified presentation is given in terms of systems theory. Dynamic tracer studies should give the flow and volume of the tracer and, possibly, indications of the internal structure of the organ studied. Proper program writing will facilitate the exchange of the programs between the users and thereby avoid duplication of effort. An important attribute in this respect is machine independence of the programs which is achieved by the use of a high-level language. (author)

  5. An analysis of the potential for achieving the fourth millennium development goal in SSA with domestic resources.

    Science.gov (United States)

    O'Hare, Bernadette; Makuta, Innocent

    2015-02-25

    The importance of good health is reflected in the fact that more than half of the eight Millennium Development Goals (MDGs) are aimed at improving health status. Goal 4 (MDG4) aims to reduce child mortality. The progress indicator for goal 4 is the under-five mortality rate (U5M), with a targeted reduction of two thirds by 2015 from 1990 levels. This paper seeks to compare the time (in years) Sub Saharan African (SSA) countries will take to reach their MDG4 target at the current rate of decline, and the time it could have taken to reach their target if domestic resources had not been lost through illicit financial flows, corruption and servicing of debt since 2000. We estimate the amount by which the Gross Domestic Product (GDP) per capita would increase (in percentage terms) if losses of resource through illicit financial flows, corruption and debt servicing, were reduced. Using the income elasticity of U5M, a metric which reports the percentage change in U5M for a one percent change in GDP per capita, we estimate the potential gains in the annual reduction of the under-five mortality if these resource losses were reduced. At the current rate of reduction in U5M, nine countries out of this sample of 36 SSA countries (25%) will achieve their MDG4 target by 2015. In the absence of the leakages (IFF, corruption and debt service) 30 out of 36 (83%) would reach their MDG4 target by 2015 and all except one country, Zimbabwe would have achieved their MDG4 by 2017 (97%). In view of the uncertainty of the legitimacy of African debts we have also provided results where we excluded debt repayment from our analysis. Most countries would have met MDG4 target by curtailing these outflows. In order to release latent resources in SSA for development, action will be needed both by African countries and internationally. We consider that stemming these outflows, and thereby reducing the need for aid, can be achieved with a more transparent global financial system.

  6. Functional linear models for association analysis of quantitative traits.

    Science.gov (United States)

    Fan, Ruzong; Wang, Yifan; Mills, James L; Wilson, Alexander F; Bailey-Wilson, Joan E; Xiong, Momiao

    2013-11-01

    Functional linear models are developed in this paper for testing associations between quantitative traits and genetic variants, which can be rare variants or common variants or the combination of the two. By treating multiple genetic variants of an individual in a human population as a realization of a stochastic process, the genome of an individual in a chromosome region is a continuum of sequence data rather than discrete observations. The genome of an individual is viewed as a stochastic function that contains both linkage and linkage disequilibrium (LD) information of the genetic markers. By using techniques of functional data analysis, both fixed and mixed effect functional linear models are built to test the association between quantitative traits and genetic variants adjusting for covariates. After extensive simulation analysis, it is shown that the F-distributed tests of the proposed fixed effect functional linear models have higher power than that of sequence kernel association test (SKAT) and its optimal unified test (SKAT-O) for three scenarios in most cases: (1) the causal variants are all rare, (2) the causal variants are both rare and common, and (3) the causal variants are common. The superior performance of the fixed effect functional linear models is most likely due to its optimal utilization of both genetic linkage and LD information of multiple genetic variants in a genome and similarity among different individuals, while SKAT and SKAT-O only model the similarities and pairwise LD but do not model linkage and higher order LD information sufficiently. In addition, the proposed fixed effect models generate accurate type I error rates in simulation studies. We also show that the functional kernel score tests of the proposed mixed effect functional linear models are preferable in candidate gene analysis and small sample problems. The methods are applied to analyze three biochemical traits in data from the Trinity Students Study. © 2013 WILEY

  7. Achieving Public Schools

    Science.gov (United States)

    Abowitz, Kathleen Knight

    2011-01-01

    Public schools are functionally provided through structural arrangements such as government funding, but public schools are achieved in substance, in part, through local governance. In this essay, Kathleen Knight Abowitz explains the bifocal nature of achieving public schools; that is, that schools are both subject to the unitary Public compact of…

  8. A Novel Synchronization-Based Approach for Functional Connectivity Analysis

    Directory of Open Access Journals (Sweden)

    Angela Lombardi

    2017-01-01

    Full Text Available Complex network analysis has become a gold standard to investigate functional connectivity in the human brain. Popular approaches for quantifying functional coupling between fMRI time series are linear zero-lag correlation methods; however, they might reveal only partial aspects of the functional links between brain areas. In this work, we propose a novel approach for assessing functional coupling between fMRI time series and constructing functional brain networks. A phase space framework is used to map couples of signals exploiting their cross recurrence plots (CRPs to compare the trajectories of the interacting systems. A synchronization metric is extracted from the CRP to assess the coupling behavior of the time series. Since the functional communities of a healthy population are expected to be highly consistent for the same task, we defined functional networks of task-related fMRI data of a cohort of healthy subjects and applied a modularity algorithm in order to determine the community structures of the networks. The within-group similarity of communities is evaluated to verify whether such new metric is robust enough against noise. The synchronization metric is also compared with Pearson’s correlation coefficient and the detected communities seem to better reflect the functional brain organization during the specific task.

  9. Prediction of functional sites in proteins using conserved functional group analysis.

    Science.gov (United States)

    Innis, C Axel; Anand, A Prem; Sowdhamini, R

    2004-04-02

    A detailed knowledge of a protein's functional site is an absolute prerequisite for understanding its mode of action at the molecular level. However, the rapid pace at which sequence and structural information is being accumulated for proteins greatly exceeds our ability to determine their biochemical roles experimentally. As a result, computational methods are required which allow for the efficient processing of the evolutionary information contained in this wealth of data, in particular that related to the nature and location of functionally important sites and residues. The method presented here, referred to as conserved functional group (CFG) analysis, relies on a simplified representation of the chemical groups found in amino acid side-chains to identify functional sites from a single protein structure and a number of its sequence homologues. We show that CFG analysis can fully or partially predict the location of functional sites in approximately 96% of the 470 cases tested and that, unlike other methods available, it is able to tolerate wide variations in sequence identity. In addition, we discuss its potential in a structural genomics context, where automation, scalability and efficiency are critical, and an increasing number of protein structures are determined with no prior knowledge of function. This is exemplified by our analysis of the hypothetical protein Ydde_Ecoli, whose structure was recently solved by members of the North East Structural Genomics consortium. Although the proposed active site for this protein needs to be validated experimentally, this example illustrates the scope of CFG analysis as a general tool for the identification of residues likely to play an important role in a protein's biochemical function. Thus, our method offers a convenient solution to rapidly and automatically process the vast amounts of data that are beginning to emerge from structural genomics projects.

  10. Achieving diagnosis by consensus

    LENUS (Irish Health Repository)

    Kane, Bridget

    2009-08-01

    This paper provides an analysis of the collaborative work conducted at a multidisciplinary medical team meeting, where a patient’s definitive diagnosis is agreed, by consensus. The features that distinguish this process of diagnostic work by consensus are examined in depth. The current use of technology to support this collaborative activity is described, and experienced deficiencies are identified. Emphasis is placed on the visual and perceptual difficulty for individual specialities in making interpretations, and on how, through collaboration in discussion, definitive diagnosis is actually achieved. The challenge for providing adequate support for the multidisciplinary team at their meeting is outlined, given the multifaceted nature of the setting, i.e. patient management, educational, organizational and social functions, that need to be satisfied.

  11. Semen analysis and sperm function tests: How much to test?

    Directory of Open Access Journals (Sweden)

    S S Vasan

    2011-01-01

    Full Text Available Semen analysis as an integral part of infertility investigations is taken as a surrogate measure for male fecundity in clinical andrology, male fertility, and pregnancy risk assessments. Clearly, laboratory seminology is still very much in its infancy. In as much as the creation of a conventional semen profile will always represent the foundations of male fertility evaluation, the 5th edition of the World Health Organization (WHO manual is a definitive statement on how such assessments should be carried out and how the quality should be controlled. A major advance in this new edition of the WHO manual, resolving the most salient critique of previous editions, is the development of the first well-defined reference ranges for semen analysis based on the analysis of over 1900 recent fathers. The methodology used in the assessment of the usual variables in semen analysis is described, as are many of the less common, but very valuable, sperm function tests. Sperm function testing is used to determine if the sperm have the biologic capacity to perform the tasks necessary to reach and fertilize ova and ultimately result in live births. A variety of tests are available to evaluate different aspects of these functions. To accurately use these functional assays, the clinician must understand what the tests measure, what the indications are for the assays, and how to interpret the results to direct further testing or patient management.

  12. Functional Interaction Network Construction and Analysis for Disease Discovery.

    Science.gov (United States)

    Wu, Guanming; Haw, Robin

    2017-01-01

    Network-based approaches project seemingly unrelated genes or proteins onto a large-scale network context, therefore providing a holistic visualization and analysis platform for genomic data generated from high-throughput experiments, reducing the dimensionality of data via using network modules and increasing the statistic analysis power. Based on the Reactome database, the most popular and comprehensive open-source biological pathway knowledgebase, we have developed a highly reliable protein functional interaction network covering around 60 % of total human genes and an app called ReactomeFIViz for Cytoscape, the most popular biological network visualization and analysis platform. In this chapter, we describe the detailed procedures on how this functional interaction network is constructed by integrating multiple external data sources, extracting functional interactions from human curated pathway databases, building a machine learning classifier called a Naïve Bayesian Classifier, predicting interactions based on the trained Naïve Bayesian Classifier, and finally constructing the functional interaction database. We also provide an example on how to use ReactomeFIViz for performing network-based data analysis for a list of genes.

  13. Functional MRI experiments : acquisition, analysis and interpretation of data

    NARCIS (Netherlands)

    Ramsey, NF; Hoogduin, H; Jansma, JM

    2002-01-01

    Functional MRI is widely used to address basic and clinical neuroscience questions. In the key domains of fMRI experiments, i.e. acquisition, processing and analysis, and interpretation of data, developments are ongoing. The main issues are sensitivity for changes in fMRI signal that are associated

  14. Genome-wide identification, functional analysis and expression ...

    African Journals Online (AJOL)

    Fuyou Fu

    2013-07-24

    Jul 24, 2013 ... Key words: ABC transporter, potato, pleiotropic drug resistance (PDR), RNA-seq. INTRODUCTION ..... of relative transcript accumulation of each of 55 PDR genes as determined by RNA-seq analysis are presented as a heatmap, with ... specificities provide clues to the endogenous function of the individual ...

  15. Knowledge-based analysis of functional impacts of mutations in ...

    Indian Academy of Sciences (India)

    Knowledge-based analysis of functional impacts of mutations in microRNA seed regions. Supplementary figure 1. Summary of predicted miRNA targets from ... All naturally occurred SNPs in seed regions of human miRNAs. The information of the columns is given in the second sheet. Hihly expressed miRNAs are ...

  16. Expression and functional analysis of apoptosis-related gene ...

    African Journals Online (AJOL)

    Administrator

    2011-10-19

    Oct 19, 2011 ... conducted a molecular cloning and functional analysis to study a specific silkworm gene BmICAD related to apoptosis. .... blocking with 5% non-fat milk for 1 h at room temperature, the .... requirements for all next experiments.

  17. Assessing the Utility of a Demand Assessment for Functional Analysis

    Science.gov (United States)

    Roscoe, Eileen M.; Rooker, Griffin W.; Pence, Sacha T.; Longworth, Lynlea J.

    2009-01-01

    We evaluated the utility of an assessment for identifying tasks for the functional analysis demand condition with 4 individuals who had been diagnosed with autism. During the demand assessment, a therapist presented a variety of tasks, and observers measured problem behavior and compliance to identify demands associated with low levels of…

  18. The Maslov index in weak symplectic functional analysis

    DEFF Research Database (Denmark)

    Booss-Bavnbek, Bernhelm; Zhu, Chaofeng

    2013-01-01

    We recall the Chernoff-Marsden definition of weak symplectic structure and give a rigorous treatment of the functional analysis and geometry of weak symplectic Banach spaces. We define the Maslov index of a continuous path of Fredholm pairs of Lagrangian subspaces in continuously varying Banach...

  19. Effects of Language of Implementation on Functional Analysis Outcomes

    Science.gov (United States)

    Rispoli, Mandy; O'Reilly, Mark; Lang, Russell; Sigafoos, Jeff; Mulloy, Austin; Aguilar, Jeannie; Singer, George

    2011-01-01

    This study evaluated the influence of language of implementation on functional analysis outcomes for a child with a severe intellectual disability from a Spanish-speaking home. Challenging behavior was assessed during 5-min sessions under 4 conditions; attention, play-verbal, play-nonverbal, and demand and across 2 phases; implementation in…

  20. Some Logical Metatheorems with Applications in Functional Analysis

    DEFF Research Database (Denmark)

    Kohlenbach, Ulrich

    2005-01-01

    In previous papers we have developed proof-theoretic techniques for extracting effective uniform bounds from large classes of ineffective existence proofs in functional analysis. Here `uniform' means independence from parameters in compact spaces. A recent case study in fixed-point theory...

  1. Multiresolution Analysis by Infinitely Differentiable Compactly Supported Functions

    Science.gov (United States)

    1992-09-01

    Math. Surveys 45:1 (1990), 87-120. [I] (;. Strang and G. Fix, A Fourier analysis of the finite element variational method. C.I.M.F. I 1 Ciclo 1971, in Constructi’c Aspects of Functional Analyszs ed. G. Geymonat 1973, 793-840. 10

  2. Functional Analysis and Treatment of Noncompliance by Preschool Children

    Science.gov (United States)

    Wilder, David A.; Harris, Carelle; Reagan, Renee; Rasey, Amy

    2007-01-01

    A functional analysis showed that noncompliance occurred most often for 2 preschoolers when it resulted in termination of a preferred activity, suggesting that noncompliance was maintained by positive reinforcement. A differential reinforcement procedure, which involved contingent access to coupons that could be exchanged for uninterrupted access…

  3. Mixed kernel function support vector regression for global sensitivity analysis

    Science.gov (United States)

    Cheng, Kai; Lu, Zhenzhou; Wei, Yuhao; Shi, Yan; Zhou, Yicheng

    2017-11-01

    Global sensitivity analysis (GSA) plays an important role in exploring the respective effects of input variables on an assigned output response. Amongst the wide sensitivity analyses in literature, the Sobol indices have attracted much attention since they can provide accurate information for most models. In this paper, a mixed kernel function (MKF) based support vector regression (SVR) model is employed to evaluate the Sobol indices at low computational cost. By the proposed derivation, the estimation of the Sobol indices can be obtained by post-processing the coefficients of the SVR meta-model. The MKF is constituted by the orthogonal polynomials kernel function and Gaussian radial basis kernel function, thus the MKF possesses both the global characteristic advantage of the polynomials kernel function and the local characteristic advantage of the Gaussian radial basis kernel function. The proposed approach is suitable for high-dimensional and non-linear problems. Performance of the proposed approach is validated by various analytical functions and compared with the popular polynomial chaos expansion (PCE). Results demonstrate that the proposed approach is an efficient method for global sensitivity analysis.

  4. Discrete-Trial Functional Analysis and Functional Communication Training with Three Adults with Intellectual Disabilities and Problem Behavior

    Science.gov (United States)

    Chezan, Laura C.; Drasgow, Erik; Martin, Christian A.

    2014-01-01

    We conducted a sequence of two studies on the use of discrete-trial functional analysis and functional communication training. First, we used discrete-trial functional analysis (DTFA) to identify the function of problem behavior in three adults with intellectual disabilities and problem behavior. Results indicated clear patterns of problem…

  5. Annotating Protein Functional Residues by Coupling High-Throughput Fitness Profile and Homologous-Structure Analysis.

    Science.gov (United States)

    Du, Yushen; Wu, Nicholas C; Jiang, Lin; Zhang, Tianhao; Gong, Danyang; Shu, Sara; Wu, Ting-Ting; Sun, Ren

    2016-11-01

    Identification and annotation of functional residues are fundamental questions in protein sequence analysis. Sequence and structure conservation provides valuable information to tackle these questions. It is, however, limited by the incomplete sampling of sequence space in natural evolution. Moreover, proteins often have multiple functions, with overlapping sequences that present challenges to accurate annotation of the exact functions of individual residues by conservation-based methods. Using the influenza A virus PB1 protein as an example, we developed a method to systematically identify and annotate functional residues. We used saturation mutagenesis and high-throughput sequencing to measure the replication capacity of single nucleotide mutations across the entire PB1 protein. After predicting protein stability upon mutations, we identified functional PB1 residues that are essential for viral replication. To further annotate the functional residues important to the canonical or noncanonical functions of viral RNA-dependent RNA polymerase (vRdRp), we performed a homologous-structure analysis with 16 different vRdRp structures. We achieved high sensitivity in annotating the known canonical polymerase functional residues. Moreover, we identified a cluster of noncanonical functional residues located in the loop region of the PB1 β-ribbon. We further demonstrated that these residues were important for PB1 protein nuclear import through the interaction with Ran-binding protein 5. In summary, we developed a systematic and sensitive method to identify and annotate functional residues that are not restrained by sequence conservation. Importantly, this method is generally applicable to other proteins about which homologous-structure information is available. To fully comprehend the diverse functions of a protein, it is essential to understand the functionality of individual residues. Current methods are highly dependent on evolutionary sequence conservation, which is

  6. Intraoperative mapping of language functions: a longitudinal neurolinguistic analysis.

    Science.gov (United States)

    Ilmberger, Josef; Ruge, Maximilian; Kreth, Friedrich-Wilhelm; Briegel, Josef; Reulen, Hans-Juergen; Tonn, Joerg-Christian

    2008-10-01

    This prospective longitudinally designed study was conducted to evaluate language functions pre- and postoperatively in patients who underwent microsurgical treatment of tumors in close proximity to or within language areas and to detect those patients at risk for a postoperative aphasic disturbance. Between 1991 and 2005, 153 awake craniotomies with subsequent cortical mapping of language functions were performed in 149 patients. Language functions were assessed using a standardized test battery. Risk factors were obtained from multivariate logistic regression models. Language mapping was able to be performed in all patients, and complete tumor resection was achieved in 48.4%. Within 21 days after surgery a new language deficit (aphasic disturbance) was observed in 41 (32%) of the 128 cases without preoperative deficits. There were a total of 60 cases involving postoperative aphasic disturbances, including cases both with and without preoperative disturbances. Risk factors for postoperative aphasic disturbance were preoperative aphasia (planguage-positive sites within the tumor (planguage disturbances. A total of 17.6% of all cases demonstrated new postoperative language disturbances after 7 months. Risk factors for persistent aphasic disturbance were increased age (>40 years, planguage-relevant areas intraoperatively, even when they are located within the tumor. New postoperative deficits resolve in the majority of patients, which may be a result of cortical mapping as well as functional reorganization.

  7. LikelihoodLib - Fitting, Function Maximization, and Numerical Analysis

    CERN Document Server

    Smirnov, I B

    2001-01-01

    A new class library is designed for function maximization, minimization, solution of equations and for other problems related to mathematical analysis of multi-parameter functions by numerical iterative methods. When we search the maximum or another special point of a function, we may change and fit all parameters simultaneously, sequentially, recursively, or by any combination of these methods. The discussion is focused on the first the most complicated method, although the others are also supported by the library. For this method we apply: control of precision by interval computations; the calculation of derivatives either by differential arithmetic, or by the method of finite differences with the step lengths which provide suppression of the influence of numerical noise; possible synchronization of the subjective function calls with minimization of the number of iterations; competitive application of various methods for step calculation, and converging to the solution by many trajectories.

  8. An advanced probabilistic structural analysis method for implicit performance functions

    Science.gov (United States)

    Wu, Y.-T.; Millwater, H. R.; Cruse, T. A.

    1989-01-01

    In probabilistic structural analysis, the performance or response functions usually are implicitly defined and must be solved by numerical analysis methods such as finite element methods. In such cases, the most commonly used probabilistic analysis tool is the mean-based, second-moment method which provides only the first two statistical moments. This paper presents a generalized advanced mean value (AMV) method which is capable of establishing the distributions to provide additional information for reliability design. The method requires slightly more computations than the second-moment method but is highly efficient relative to the other alternative methods. In particular, the examples show that the AMV method can be used to solve problems involving non-monotonic functions that result in truncated distributions.

  9. Real analysis series, functions of several variables, and applications

    CERN Document Server

    Laczkovich, Miklós

    2017-01-01

    This book develops the theory of multivariable analysis, building on the single variable foundations established in the companion volume, Real Analysis: Foundations and Functions of One Variable. Together, these volumes form the first English edition of the popular Hungarian original, Valós Analízis I & II, based on courses taught by the authors at Eötvös Loránd University, Hungary, for more than 30 years. Numerous exercises are included throughout, offering ample opportunities to master topics by progressing from routine to difficult problems. Hints or solutions to many of the more challenging exercises make this book ideal for independent study, or further reading. Intended as a sequel to a course in single variable analysis, this book builds upon and expands these ideas into higher dimensions. The modular organization makes this text adaptable for either a semester or year-long introductory course. Topics include: differentiation and integration of functions of several variables; infinite numerica...

  10. Advances and Achievements in In Situ Analysis of Corrosion and Structure–Property Relationship in Mg Alloys

    Energy Technology Data Exchange (ETDEWEB)

    Orlov, D.; Joshi, V.

    2016-11-03

    Every year, TMS Magnesium Committee carefully selects a special topic in magnesium (Mg) related research and development not only having the hottest subject from both academic and industrial perspectives but also demonstrating major achievements within this subject. Following last year’s topic on Mg microallying [1], this year’s focus is on in-situ methods and associated techniques in their broad definition spanning from laboratory- to large- scale facilities to process monitoring. The applications of in-situ techniques have a wide spectrum from the analysis of melts and liquid-solid transitions to solid-state phenomena during thermo-mechanical processing and heat treatments to surface interactions with various environments. Therefore, such works are of significant interest to scientists working in the area of Mg alloy development as well as to a much broader audience from both academia and industry. This interest is primarily caused by challenges in the analysis of structure-property relationship in Mg alloys, and even cursory glance of literature reveals sharp increase of publications relevant to this topic recently. For instance, very high reactivity of Mg as well as its well-known propensity to substantially alter structure upon unloading in mechanical testing makes it difficult to understand and thus to simulate correlation between microstructures observed in post-mortem analysis and physical processes during testing or fabrication. However, recent advances in in-situ analysis based on large-scale research facilities such as neutron scattering and synchrotron radiation sources as well as microscopy-based, acoustic emission, and other more traditional techniques allowed significant achievements. Apart from apparent development of relevant experimental techniques, a significant part of this success should also be attributed to increasing accessibility of the facilities and simplification of their use from a user perspective. The selection of articles in this

  11. An analysis of predictors of enrollment and successful achievement for girls in high school Advanced Placement physics

    Science.gov (United States)

    Depalma, Darlene M.

    A problem within science education in the United States persists. U.S students rank lower in science than most other students from participating countries on international tests of achievement (National Center for Education Statistics, 2003). In addition, U.S. students overall enrollment rate in high school Advanced Placement (AP) physics is still low compared to other academic domains, especially for females. This problem is the background for the purpose of this study. This investigation examined cognitive and motivational variables thought to play a part in the under-representation of females in AP physics. Cognitive variables consisted of mathematics, reading, and science knowledge, as measured by scores on the 10th and 11th grade Florida Comprehensive Assessment Tests (FCAT). The motivational factors of attitude, stereotypical views toward science, self-efficacy, and epistemological beliefs were measured by a questionnaire developed with questions taken from previously proven reliable and valid instruments. A general survey regarding participation in extracurricular activities was also included. The sample included 12th grade students from two high schools located in Seminole County, Florida. Of the 106 participants, 20 girls and 27 boys were enrolled in AP physics, and 39 girls and 20 boys were enrolled in other elective science courses. Differences between males and females enrolled in AP physics were examined, as well as differences between females enrolled in AP physics and females that chose not to participate in AP physics, in order to determine predictors that apply exclusively to female enrollment in high school AP physics and predictors of an anticipated science related college major. Data were first analyzed by Exploratory Factor Analysis, followed by Analysis of Variance (ANOVA), independent t-tests, univariate analysis, and logistic regression analysis. One overall theme that emerged from this research was findings that refute the ideas that

  12. Colombeau's generalized functions and non-standard analysis

    International Nuclear Information System (INIS)

    Todorov, T.D.

    1987-10-01

    Using some methods of the Non-Standard Analysis we modify one of Colombeau's classes of generalized functions. As a result we define a class ε-circumflex of the so-called meta-functions which possesses all good properties of Colombeau's generalized functions, i.e. (i) ε-circumflex is an associative and commutative algebra over the system of the so-called complex meta-numbers C-circumflex; (ii) Every meta-function has partial derivatives of any order (which are meta-functions again); (iii) Every meta-function is integrable on any compact set of R n and the integral is a number from C-circumflex; (iv) ε-circumflex contains all tempered distributions S', i.e. S' is contained in ε' isomorphically with respect to all linear operations (including the differentiation). Thus, within the class ε-circumflex the problem of multiplication of the tempered distributions is satisfactorily solved (every two distributions in S' have a well-defined product in ε-circumflex). The crucial point is that C-circumflex is a field in contrast to the system of Colombeau's generalized numbers C-bar which is a ring only (C-bar is the counterpart of C-circumflex in Colombeau's theory). In this way we simplify and improve slightly the properties of the integral and notion of ''values of the meta-functions'' as well as the properties of the whole class ε-circumflex itself if compared with the original Colombeau theory. And, what is maybe more important, we clarify the connection between the Non-Standard Analysis and Colombeau's theory of new generalized functions in the framework of which the problem of multiplication of distributions was recently solved. (author). 14 refs

  13. Can school choice improve more than just academic achievement? An analysis of post-Katrina New Orleans.

    Science.gov (United States)

    Hutchinson, Paul L; Ferrell, Natalie; Broussard, Marsha; Brown, Lisanne; Chrestman, Sarah K

    2014-04-01

    Recent evaluations of school choice school reforms have focused on improving academic achievement but have ignored associations with adolescent health and the risk of interpersonal violence. The innovative school choice model implemented in post-Katrina New Orleans provides a unique opportunity to examine these effects. Using a sample of approximately 1700 students from the 2009 School Health Connection Survey, the relationships between the type of school attended and depression, suicide planning, absences attributable to fears for personal safety, and threats of violence at school are examined. Multivariate regression analysis adjusting for self-selection into the type of school attended-a city-run high-performing school, a state-run failing school, or an independent charter school-estimates the effects of school type on student health. Relative to students at state-run schools, students who choose to attend city-run schools are less likely to plan for suicide or to miss school because they are afraid of becoming victims of violence. These beneficial effects tend to be larger for students traveling from higher violence neighborhoods. The effects for charter schools are similar but less robust. Local school jurisdictions that implement reforms allowing adolescents and their families greater freedom in school choice may also improve adolescent health. © 2014, American School Health Association.

  14. The use of vitamin K supplementation to achieve INR stability: a systematic review and meta-analysis.

    Science.gov (United States)

    Kramps, Melissa; Flanagan, Abigail; Smaldone, Arlene

    2013-10-01

    Systematically review and quantitatively synthesize evidence on use of oral vitamin K supplementation in reducing international normalized ratio (INR) variability. PubMed, The Cochrane Library, PsycINFO, Cumulative Index of Nursing and Allied Health Literature (CINAHL), Turning Research Into Practice (TRIP), Web of Science were searched for studies meeting predetermined inclusion/exclusion criteria. Five studies meeting criteria (three randomized trials, one quasi-experimental pre-post study, one retrospective case series) were appraised for quality and data synthesized by two reviewers. Pooled effect size of time in INR therapeutic range (TTR) was estimated using random effects meta-analysis. Pooled effect size representing data from four studies (678 subjects) was 0.31, 95% confidence interval 0.03-0.59 (Cochran Q = 7.1; p = .07; I(2) = 57.8) and favored vitamin K supplementation. Given wide variability among individual studies, there is not enough evidence to advise for or against the routine use of vitamin K supplementation to achieve INR stability. However, evidence does suggest that it may be of some benefit for some patients with INR instability. There is insufficient evidence to support routine supplementation with vitamin K in patients on chronic anticoagulation therapy but select patients, particularly those with persistent INR instability despite known adherence to regimen and no dietary or drug-drug interactions, may benefit from the intervention. Future research is warranted. ©2013 The Author(s) ©2013 American Association of Nurse Practitioners.

  15. Securing Communal Land Rights to Achieve Sustainable Development in Sub-Saharan Africa: Critical Analysis and Policy Implications

    Directory of Open Access Journals (Sweden)

    Ross Andrew Clarke

    2009-09-01

    Full Text Available While the concept of sustainable development gains increasing traction under international law, effective and scalable policies to translate these principles into practice remain largely beyond reach. This article analyses one possible strategy in Sub-Saharan Africa - increasing security of communal tenure to improve resource management and achieve rural sustainable development. Although this approach has attracted some attention, particularly with management responsibility of communal property increasingly devolved to the community-level, the expected results in terms of more sustainable resource exploitation and sounder environmental management have yet to be realised. Through critical analysis, with particular emphasis on the Gestion Terroir approach in Burkina Faso , the article explores the reasons behind the limited success. The article suggests that greater emphasis must be placed on bridging statutory command-and-control regimes with community-based models. Focusing on the links between communal land tenure and environmental management, and effectively embedding community land management institutions within existing environmental governance structures offers a practical model to promote sustainable development.

  16. Confirmatory factor analysis of the female sexual function index.

    Science.gov (United States)

    Opperman, Emily A; Benson, Lindsay E; Milhausen, Robin R

    2013-01-01

    The Female Sexual Functioning Index (Rosen et al., 2000 ) was designed to assess the key dimensions of female sexual functioning using six domains: desire, arousal, lubrication, orgasm, satisfaction, and pain. A full-scale score was proposed to represent women's overall sexual function. The fifth revision to the Diagnostic and Statistical Manual (DSM) is currently underway and includes a proposal to combine desire and arousal problems. The objective of this article was to evaluate and compare four models of the Female Sexual Functioning Index: (a) single-factor model, (b) six-factor model, (c) second-order factor model, and (4) five-factor model combining the desire and arousal subscales. Cross-sectional and observational data from 85 women were used to conduct a confirmatory factor analysis on the Female Sexual Functioning Index. Local and global goodness-of-fit measures, the chi-square test of differences, squared multiple correlations, and regression weights were used. The single-factor model fit was not acceptable. The original six-factor model was confirmed, and good model fit was found for the second-order and five-factor models. Delta chi-square tests of differences supported best fit for the six-factor model validating usage of the six domains. However, when revisions are made to the DSM-5, the Female Sexual Functioning Index can adapt to reflect these changes and remain a valid assessment tool for women's sexual functioning, as the five-factor structure was also supported.

  17. Advances in the indirect, descriptive, and experimental approaches to the functional analysis of problem behavior.

    Science.gov (United States)

    Wightman, Jade; Julio, Flávia; Virués-Ortega, Javier

    2014-05-01

    Experimental functional analysis is an assessment methodology to identify the environmental factors that maintain problem behavior in individuals with developmental disabilities and in other populations. Functional analysis provides the basis for the development of reinforcement-based approaches to treatment. This article reviews the procedures, validity, and clinical implementation of the methodological variations of functional analysis and function-based interventions. We present six variations of functional analysis methodology in addition to the typical functional analysis: brief functional analysis, single-function tests, latency-based functional analysis, functional analysis of precursors, and trial-based functional analysis. We also present the three general categories of function-based interventions: extinction, antecedent manipulation, and differential reinforcement. Functional analysis methodology is a valid and efficient approach to the assessment of problem behavior and the selection of treatment strategies.

  18. multi scale analysis of a function by neural networks elementary derivatives functions

    International Nuclear Information System (INIS)

    Chikhi, A.; Gougam, A.; Chafa, F.

    2006-01-01

    Recently, the wavelet network has been introduced as a special neural network supported by the wavelet theory . Such networks constitute a tool for function approximation problems as it has been already proved in reference . Our present work deals with this model, treating a multi scale analysis of a function. We have then used a linear expansion of a given function in wavelets, neglecting the usual translation parameters. We investigate two training operations. The first one consists on an optimization of the output synaptic layer, the second one, optimizing the output function with respect to scale parameters. We notice a temporary merging of the scale parameters leading to some interesting results : new elementary derivatives units emerge, representing a new elementary task, which is the derivative of the output task

  19. Annotating Protein Functional Residues by Coupling High-Throughput Fitness Profile and Homologous-Structure Analysis

    Directory of Open Access Journals (Sweden)

    Yushen Du

    2016-11-01

    Full Text Available Identification and annotation of functional residues are fundamental questions in protein sequence analysis. Sequence and structure conservation provides valuable information to tackle these questions. It is, however, limited by the incomplete sampling of sequence space in natural evolution. Moreover, proteins often have multiple functions, with overlapping sequences that present challenges to accurate annotation of the exact functions of individual residues by conservation-based methods. Using the influenza A virus PB1 protein as an example, we developed a method to systematically identify and annotate functional residues. We used saturation mutagenesis and high-throughput sequencing to measure the replication capacity of single nucleotide mutations across the entire PB1 protein. After predicting protein stability upon mutations, we identified functional PB1 residues that are essential for viral replication. To further annotate the functional residues important to the canonical or noncanonical functions of viral RNA-dependent RNA polymerase (vRdRp, we performed a homologous-structure analysis with 16 different vRdRp structures. We achieved high sensitivity in annotating the known canonical polymerase functional residues. Moreover, we identified a cluster of noncanonical functional residues located in the loop region of the PB1 β-ribbon. We further demonstrated that these residues were important for PB1 protein nuclear import through the interaction with Ran-binding protein 5. In summary, we developed a systematic and sensitive method to identify and annotate functional residues that are not restrained by sequence conservation. Importantly, this method is generally applicable to other proteins about which homologous-structure information is available.

  20. Consolidity analysis for fully fuzzy functions, matrices, probability and statistics

    Directory of Open Access Journals (Sweden)

    Walaa Ibrahim Gabr

    2015-03-01

    Full Text Available The paper presents a comprehensive review of the know-how for developing the systems consolidity theory for modeling, analysis, optimization and design in fully fuzzy environment. The solving of systems consolidity theory included its development for handling new functions of different dimensionalities, fuzzy analytic geometry, fuzzy vector analysis, functions of fuzzy complex variables, ordinary differentiation of fuzzy functions and partial fraction of fuzzy polynomials. On the other hand, the handling of fuzzy matrices covered determinants of fuzzy matrices, the eigenvalues of fuzzy matrices, and solving least-squares fuzzy linear equations. The approach demonstrated to be also applicable in a systematic way in handling new fuzzy probabilistic and statistical problems. This included extending the conventional probabilistic and statistical analysis for handling fuzzy random data. Application also covered the consolidity of fuzzy optimization problems. Various numerical examples solved have demonstrated that the new consolidity concept is highly effective in solving in a compact form the propagation of fuzziness in linear, nonlinear, multivariable and dynamic problems with different types of complexities. Finally, it is demonstrated that the implementation of the suggested fuzzy mathematics can be easily embedded within normal mathematics through building special fuzzy functions library inside the computational Matlab Toolbox or using other similar software languages.

  1. Lectures on functional analysis and the Lebesgue integral

    CERN Document Server

    Komornik, Vilmos

    2016-01-01

    This textbook, based on three series of lectures held by the author at the University of Strasbourg, presents functional analysis in a non-traditional way by generalizing elementary theorems of plane geometry to spaces of arbitrary dimension. This approach leads naturally to the basic notions and theorems. Most results are illustrated by the small ℓp spaces. The Lebesgue integral, meanwhile, is treated via the direct approach of Frigyes Riesz, whose constructive definition of measurable functions leads to optimal, clear-cut versions of the classical theorems of Fubini-Tonelli and Radon-Nikodým. Lectures on Functional Analysis and the Lebesgue Integral presents the most important topics for students, with short, elegant proofs. The exposition style follows the Hungarian mathematical tradition of Paul Erdős and others. The order of the first two parts, functional analysis and the Lebesgue integral, may be reversed. In the third and final part they are combined to study various spaces of continuous and integ...

  2. Informing the Structure of Executive Function in Children: A Meta-Analysis of Functional Neuroimaging Data

    Science.gov (United States)

    McKenna, Róisín; Rushe, T.; Woodcock, Kate A.

    2017-01-01

    The structure of executive function (EF) has been the focus of much debate for decades. What is more, the complexity and diversity provided by the developmental period only adds to this contention. The development of executive function plays an integral part in the expression of children's behavioral, cognitive, social, and emotional capabilities. Understanding how these processes are constructed during development allows for effective measurement of EF in this population. This meta-analysis aims to contribute to a better understanding of the structure of executive function in children. A coordinate-based meta-analysis was conducted (using BrainMap GingerALE 2.3), which incorporated studies administering functional magnetic resonance imaging (fMRI) during inhibition, switching, and working memory updating tasks in typical children (aged 6–18 years). The neural activation common across all executive tasks was compared to that shared by tasks pertaining only to inhibition, switching or updating, which are commonly considered to be fundamental executive processes. Results support the existence of partially separable but partially overlapping inhibition, switching, and updating executive processes at a neural level, in children over 6 years. Further, the shared neural activation across all tasks (associated with a proposed “unitary” component of executive function) overlapped to different degrees with the activation associated with each individual executive process. These findings provide evidence to support the suggestion that one of the most influential structural models of executive functioning in adults can also be applied to children of this age. However, the findings also call for careful consideration and measurement of both specific executive processes, and unitary executive function in this population. Furthermore, a need is highlighted for a new systematic developmental model, which captures the integrative nature of executive function in children. PMID

  3. Function-Oriented Mobile Malware Analysis as First Aid

    Directory of Open Access Journals (Sweden)

    Jae-wook Jang

    2016-01-01

    Full Text Available Recently, highly well-crafted mobile malware has arisen as mobile devices manage highly valuable and sensitive information. Currently, it is impossible to detect and prevent all malware because the amount of new malware continues to increase exponentially; malware detection methods need to improve in order to respond quickly and effectively to malware. For the quick response, revealing the main purpose or functions of captured malware is important; however, only few recent works have attempted to find malware’s main purpose. Our approach is designed to help with efficient and effective incident responses or countermeasure development by analyzing the main functions of malicious behavior. In this paper, we propose a novel method for function-oriented malware analysis approach based on analysis of suspicious API call patterns. Instead of extracting API call patterns for malware in each family, we focus on extracting such patterns for certain malicious functionalities. Our proposed method dumps memory sections where an application is allocated and extracts suspicious API sequences from bytecode by comparing with predefined suspicious API lists. By matching API call patterns with our functionality database, our method determines whether they are malicious. The experiment results demonstrate that our method performs well in detecting malware with high accuracy.

  4. FADTTS: functional analysis of diffusion tensor tract statistics.

    Science.gov (United States)

    Zhu, Hongtu; Kong, Linglong; Li, Runze; Styner, Martin; Gerig, Guido; Lin, Weili; Gilmore, John H

    2011-06-01

    The aim of this paper is to present a functional analysis of a diffusion tensor tract statistics (FADTTS) pipeline for delineating the association between multiple diffusion properties along major white matter fiber bundles with a set of covariates of interest, such as age, diagnostic status and gender, and the structure of the variability of these white matter tract properties in various diffusion tensor imaging studies. The FADTTS integrates five statistical tools: (i) a multivariate varying coefficient model for allowing the varying coefficient functions in terms of arc length to characterize the varying associations between fiber bundle diffusion properties and a set of covariates, (ii) a weighted least squares estimation of the varying coefficient functions, (iii) a functional principal component analysis to delineate the structure of the variability in fiber bundle diffusion properties, (iv) a global test statistic to test hypotheses of interest, and (v) a simultaneous confidence band to quantify the uncertainty in the estimated coefficient functions. Simulated data are used to evaluate the finite sample performance of FADTTS. We apply FADTTS to investigate the development of white matter diffusivities along the splenium of the corpus callosum tract and the right internal capsule tract in a clinical study of neurodevelopment. FADTTS can be used to facilitate the understanding of normal brain development, the neural bases of neuropsychiatric disorders, and the joint effects of environmental and genetic factors on white matter fiber bundles. The advantages of FADTTS compared with the other existing approaches are that they are capable of modeling the structured inter-subject variability, testing the joint effects, and constructing their simultaneous confidence bands. However, FADTTS is not crucial for estimation and reduces to the functional analysis method for the single measure. Copyright © 2011 Elsevier Inc. All rights reserved.

  5. Global sensitivity analysis of computer models with functional inputs

    International Nuclear Information System (INIS)

    Iooss, Bertrand; Ribatet, Mathieu

    2009-01-01

    Global sensitivity analysis is used to quantify the influence of uncertain model inputs on the response variability of a numerical model. The common quantitative methods are appropriate with computer codes having scalar model inputs. This paper aims at illustrating different variance-based sensitivity analysis techniques, based on the so-called Sobol's indices, when some model inputs are functional, such as stochastic processes or random spatial fields. In this work, we focus on large cpu time computer codes which need a preliminary metamodeling step before performing the sensitivity analysis. We propose the use of the joint modeling approach, i.e., modeling simultaneously the mean and the dispersion of the code outputs using two interlinked generalized linear models (GLMs) or generalized additive models (GAMs). The 'mean model' allows to estimate the sensitivity indices of each scalar model inputs, while the 'dispersion model' allows to derive the total sensitivity index of the functional model inputs. The proposed approach is compared to some classical sensitivity analysis methodologies on an analytical function. Lastly, the new methodology is applied to an industrial computer code that simulates the nuclear fuel irradiation.

  6. Population structure analysis using rare and common functional variants

    Directory of Open Access Journals (Sweden)

    Ding Lili

    2011-11-01

    Full Text Available Abstract Next-generation sequencing technologies now make it possible to genotype and measure hundreds of thousands of rare genetic variations in individuals across the genome. Characterization of high-density genetic variation facilitates control of population genetic structure on a finer scale before large-scale genotyping in disease genetics studies. Population structure is a well-known, prevalent, and important factor in common variant genetic studies, but its relevance in rare variants is unclear. We perform an extensive population structure analysis using common and rare functional variants from the Genetic Analysis Workshop 17 mini-exome sequence. The analysis based on common functional variants required 388 principal components to account for 90% of the variation in population structure. However, an analysis based on rare variants required 532 significant principal components to account for similar levels of variation. Using rare variants, we detected fine-scale substructure beyond the population structure identified using common functional variants. Our results show that the level of population structure embedded in rare variant data is different from the level embedded in common variant data and that correcting for population structure is only as good as the level one wishes to correct.

  7. Genre Analysis in the Frame of Systemic Functional Linguistics

    Directory of Open Access Journals (Sweden)

    Najih Imtihani

    2012-08-01

    Full Text Available Systemic Functional Linguistics is a linguistics approach which cop-siders not only the structure of the language but also its social context. In the Systemic Functional Linguistics the concept of genre is defined as a step-by-step activity to reach the goal. The concept of genre is used to describe the cultural context in a language. According to this view, text should be seen and observed in its interaction with the context and social background. For that, the genre analysis will constantly involve the linguistic social context in the forms of field, tenor, mode, schematic structure and its realization in the text.

  8. Parental Characteristics and the Achievement Gap in Mathematics: Hierarchical Linear Modeling Analysis of Longitudinal Study of American Youth (LSAY)

    Science.gov (United States)

    Shoraka, Mohammad; Arnold, Robert; Kim, Eun Sook; Salinitri, Geri; Kromrey, Jeffrey

    2015-01-01

    One of the most salient problems in education is the achievement gap. The researchers investigated the effects of parental education and parental occupations in science, technology, engineering, mathematics, or medical professions (STEMM) on the achievement gap in mathematics. Because students were nested within schools, two-level Hierarchical…

  9. The Effectiveness of Educational Technology Applications for Enhancing Mathematics Achievement in K-12 Classrooms: A Meta-Analysis. Educator's Summary

    Science.gov (United States)

    Center for Research and Reform in Education, 2012

    2012-01-01

    This review summarizes research on the effects of technology use on mathematics achievement in K-12 classrooms. The main research questions included: (1) Do education technology applications improve mathematics achievement in K-12 classrooms as compared to traditional teaching methods without education technology?; and (2) What study and research…

  10. Longitudinal analysis of the effect of academic failure tolerance on academic achievement fluctuation in medical school students.

    Science.gov (United States)

    Chae, Su Jin; Kim, Miran; Chang, Ki Hong

    2016-03-01

    Academic failure tolerance (AFT) is one of the important psychological concepts in education, but its applications in medical education are rare. Thus, the purpose of this study was to investigate the effect of academic failure tolerance on academic achievement fluctuation among medical school students using a longitudinal research design. The subjects were 43 medical students who responded to the AFT test. This study analyzed the longitudinal data of achievement scores up to the 2nd academic year (2012-2013) among students who were divided into academic achievement improvement and decline groups. Comparing the improvement and decline groups' mean academic achievement fluctuation scores demonstrated that behavior and preferred task difficulty showed high scores whereas feeling scores were lower in the improvement group (pimportant basis for enhancing academic achievement among medical students.

  11. Relationships Among Teacher Preparedness and Instructional Approaches to Secondary Student Achievement in STEM: A Secondary Analysis of TIMSS Data

    Science.gov (United States)

    Miller-Ricks, Karen A.

    Educational reform efforts in Science, Technology, Engineering, Math (STEM) place emphasis on teachers as conduits for student achievement. The purpose of this study was to use TIMSS 2011 data to examine relationships between Science-Technology-Society (STS) instructional practices (student-centered instruction established to promote learning through real-world applications) teacher preparedness, and student achievement and identify variations of achievement between and among eighth-grade science and math classes. The research was framed by both Harper's Anti-Deficit Achievement Theory and Bronfenbrenner's Ecological Systems Theory (BEST). 501 U.S. schools contributed to the TIMSS 2011 data from both the teacher questionnaires and student booklets. Chi-Square, Spearman Correlation, and 2-level hierarchical linear modeling (HLM) were used to analyze data about teachers' preparedness to teach science and math, frequency of using STS instructional practices, and student achievement. The chi-square null hypothesis for math teachers was rejected, providing the assumption that there was an association between the frequency of using STS instruction in math and teacher preparedness. However, the chi-square null hypothesis for science teachers failed to be rejected, providing the assumption that there was no significant association between the frequency of using STS instruction in science and science teacher preparedness. The Spearman Correlation revealed statistically positively significant differences between STS instruction and science achievement, as well as between teacher preparedness and science achievement. The HLM results suggested that 33% of the variance of mathematics achievement was at the individual level and 66% was at the group level. The results for science teachers suggested that 54% of the variance of science achievement was at the individual level and 46% of the variance was at the group level. The data findings support the conclusion that secondary STEM

  12. Stochastic processes and functional analysis a volume of recent advances in honor of M. M. Rao

    CERN Document Server

    Krinik, Alan C

    2004-01-01

    This extraordinary compilation is an expansion of the recent American Mathematical Society Special Session celebrating M. M. Rao's distinguished career and includes most of the presented papers as well as ancillary contributions from session invitees. This book shows the effectiveness of abstract analysis for solving fundamental problems of stochastic theory, specifically the use of functional analytic methods for elucidating stochastic processes, as made manifest in M. M. Rao's prolific research achievements. Featuring a biography of M. M. Rao, a complete bibliography of his published works,

  13. Analyzing availability using transfer function models and cross spectral analysis

    International Nuclear Information System (INIS)

    Singpurwalla, N.D.

    1980-01-01

    The paper shows how the methods of multivariate time series analysis can be used in a novel way to investigate the interrelationships between a series of operating (running) times and a series of maintenance (down) times of a complex system. Specifically, the techniques of cross spectral analysis are used to help obtain a Box-Jenkins type transfer function model for the running times and the down times of a nuclear reactor. A knowledge of the interrelationships between the running times and the down times is useful for an evaluation of maintenance policies, for replacement policy decisions, and for evaluating the availability and the readiness of complex systems

  14. Analysis of diagnostic calorimeter data by the transfer function technique

    Energy Technology Data Exchange (ETDEWEB)

    Delogu, R. S., E-mail: rita.delogu@igi.cnr.it; Pimazzoni, A.; Serianni, G. [Consorzio RFX, Corso Stati Uniti, 35127 Padova (Italy); Poggi, C.; Rossi, G. [Università degli Studi di Padova, Via 8 Febbraio 1848, 35122 Padova (Italy)

    2016-02-15

    This paper describes the analysis procedure applied to the thermal measurements on the rear side of a carbon fibre composite calorimeter with the purpose of reconstructing the energy flux due to an ion beam colliding on the front side. The method is based on the transfer function technique and allows a fast analysis by means of the fast Fourier transform algorithm. Its efficacy has been tested both on simulated and measured temperature profiles: in all cases, the energy flux features are well reproduced and beamlets are well resolved. Limits and restrictions of the method are also discussed, providing strategies to handle issues related to signal noise and digital processing.

  15. Automated reasoning applications to design validation and sneak function analysis

    International Nuclear Information System (INIS)

    Stratton, R.C.

    1984-01-01

    Argonne National Laboratory (ANL) is actively involved in the LMFBR Man-Machine Integration (MMI) Safety Program. The objective of this program is to enhance the operational safety and reliability of fast-breeder reactors by optimum integration of men and machines through the application of human factors principles and control engineering to the design, operation, and the control environment. ANL is developing methods to apply automated reasoning and computerization in the validation and sneak function analysis process. This project provides the element definitions and relations necessary for an automated reasoner (AR) to reason about design validation and sneak function analysis. This project also provides a demonstration of this AR application on an Experimental Breeder Reactor-II (EBR-II) system, the Argonne Cooling System

  16. Functional Analysis Of A Selected Airport’s System

    Directory of Open Access Journals (Sweden)

    Dudek Ewa

    2015-11-01

    Full Text Available In this paper two selected airport’s systems (Flight Information System and Public Address Voice Annunciation are defined and described. Then they are used to create an integrated unit, with the presentation of its way of functioning and a schematic picture. The author names main purposes of the integration process, serving to counteract negative consequences arising from implementation of the increasing number of systems on transport objects. In the following part of the article functional analysis of the integrated unit is carried out, defining system’s possible states of work and relations between them. Utilization of mathematical apparatus allows to calculate probabilities of system staying in the respective states, as well as system’s time indexes. Presented results are a fundament for the further analysis of this matter.

  17. Linking Design to Business Strategy Through Functional Analysis

    DEFF Research Database (Denmark)

    Simonsen, Jesper

    1997-01-01

    The paper discusses how designers, conducting design projects in specific organization's, can assure that the design of IT is appropriately linked to the organizations overall business strategy. A case study is presented in the form of a design project in a small public organization. Functional...... analysis was used as a means to clarify how a specific needed information system could support the organization's new business strategy. Using functional analysis in the design project had a powerful effect: it seriously challenged the organization's business strategy and revealed that the system...... to the relation between an organization's IT-projects and its business strategy and by suggesting that it is the responsibility of the designers, conducting design projects, to assure that this task is taken proper care of. Practical guidelines for this purpose are given....

  18. Mindfulness-Based Therapies in the Treatment of Functional Gastrointestinal Disorders: A Meta-Analysis

    Directory of Open Access Journals (Sweden)

    Monique Aucoin

    2014-01-01

    Full Text Available Background. Functional gastrointestinal disorders are highly prevalent and standard treatments are often unsatisfactory. Mindfulness-based therapy has shown benefit in conditions including chronic pain, mood, and somatization disorders. Objectives. To assess the quality and effectiveness reported in existing literature, we conducted a meta-analysis of mindfulness-based therapy in functional gastrointestinal disorders. Methods. Pubmed, EBSCO, and Cochrane databases were searched from inception to May 2014. Study inclusion criteria included randomized, controlled studies of adults using mindfulness-based therapy in the treatment of functional gastrointestinal disorders. Study quality was evaluated using the Cochrane risk of bias. Effect sizes were calculated and pooled to achieve a summary effect for the intervention on symptom severity and quality of life. Results. Of 119 records, eight articles, describing seven studies, met inclusion criteria. In six studies, significant improvements were achieved or maintained at the end of intervention or follow-up time points. The studies had an unclear or high risk of bias. Pooled effects were statistically significant for IBS severity (0.59, 95% CI 0.33 to 0.86 and quality of life (0.56, 95% CI 0.47 to 0.79. Conclusion. Studies suggest that mindfulness based interventions may provide benefit in functional gastrointestinal disorders; however, substantial improvements in methodological quality and reporting are needed.

  19. Numerical analysis of temperature field improvement with nanoparticles designed to achieve critical power dissipation in magnetic hyperthermia

    Science.gov (United States)

    Tang, Yundong; Flesch, Rodolfo C. C.; Jin, Tao

    2017-07-01

    Magnetic nanoparticle (MNP) hyperthermia is a promising emerging therapy for cancer treatment that is minimally invasive and has been successfully used to treat different types of tumors. The power dissipation of MNPs, which is one of the most important factors during a hyperthermia treatment, is determined by the properties of MNPs and characteristics of the magnetic field. This paper proposes a method based on the finite element analysis for determining the value of the power dissipation of particles (PDP) that can maximize the average temperature of the tumor during treatment and at the same time guarantee that the maximum temperature is within the therapeutic range. The application of the critical PDP value can improve the effectiveness of the treatment since it increases the average temperature in the tumor region while limiting the damage to the healthy tissue that surrounds it. After the critical PDP is determined for a specific model, it is shown how the properties of the MNPs can be chosen to achieve the desired PDP value. The transient behavior of the temperature distribution for two different models considering blood vessels is analyzed as a case study, showing that the presence of a blood vessel inside the tumor region can significantly decrease the uniformity of the temperature field and also increase the treatment duration given its cooling effects. To present a solution that does not depend upon a good model of the tumor region, an alternative method that uses MNPs with low Curie temperature is proposed, given the temperature self-regulating properties of such MNPs. The results demonstrate that the uniformity of the temperature field can be significantly increased by combining the optimization procedure proposed in this paper with the use of low-Curie-temperature MNPs.

  20. Semantic Analysis of Verbal Collocations with Lexical Functions

    CERN Document Server

    Gelbukh, Alexander

    2013-01-01

    This book is written for both linguists and computer scientists working in the field of artificial intelligence as well as to anyone interested in intelligent text processing. Lexical function is a concept that formalizes semantic and syntactic relations between lexical units. Collocational relation is a type of institutionalized lexical relations which holds between the base and its partner in a collocation. Knowledge of collocation is important for natural language processing because collocation comprises the restrictions on how words can be used together. The book shows how collocations can be annotated with lexical functions in a computer readable dictionary - allowing their precise semantic analysis in texts and their effective use in natural language applications including parsers, high quality machine translation, periphrasis system and computer-aided learning of lexica. The books shows how to extract collocations from corpora and annotate them with lexical functions automatically. To train algorithms,...

  1. Family Functioning and Adolescent Alcohol Use: A Moderated Mediation Analysis

    Science.gov (United States)

    Ohannessian, Christine McCauley; Flannery, Kaitlin M.; Simpson, Emily; Russell, Beth S.

    2016-01-01

    The primary goals of this longitudinal study were to examine the relationship between family functioning and adolescent alcohol use and to examine whether depressed mood mediates this relationship. An additional goal was to explore whether these relations were moderated by gender. The sample included 1,031 high school students from the Mid-Atlantic United States. Participants completed surveys in school during the spring of 2007, 2008, and 2009. Path analysis results indicated that family functioning predicted alcohol use for girls. Moreover, depressed mood mediated this relationship. None of the direct paths between family functioning and adolescent alcohol use were significant for boys. However, similar to girls, depressed mood negatively predicted alcohol use for boys. Taken together, the findings highlight the need for prevention programs targeting adolescent substance use to consider gender-specific trajectories. PMID:26994346

  2. Performance analysis, quality function deployment and structured methods

    Science.gov (United States)

    Maier, M. W.

    Quality function deployment, (QFD), an approach to synthesizing several elements of system modeling and design into a single unit, is presented. Behavioral, physical, and performance modeling are usually considered as separate aspects of system design without explicit linkages. Structured methodologies have developed linkages between behavioral and physical models before, but have not considered the integration of performance models. QFD integrates performance models with traditional structured models. In this method, performance requirements such as cost, weight, and detection range are partitioned into matrices. Partitioning is done by developing a performance model, preferably quantitative, for each requirement. The parameters of the model become the engineering objectives in a QFD analysis and the models are embedded in a spreadsheet version of the traditional QFD matrices. The performance model and its parameters are used to derive part of the functional model by recognizing that a given performance model implies some structure to the functionality of the system.

  3. Computer assisted functional analysis. Computer gestuetzte funktionelle Analyse

    Energy Technology Data Exchange (ETDEWEB)

    Schmidt, H A.E.; Roesler, H

    1982-01-01

    The latest developments in computer-assisted functional analysis (CFA) in nuclear medicine are presented in about 250 papers of the 19th international annual meeting of the Society of Nuclear Medicine (Bern, September 1981). Apart from the mathematical and instrumental aspects of CFA, computerized emission tomography is given particular attention. Advances in nuclear medical diagnosis in the fields of radiopharmaceuticals, cardiology, angiology, neurology, ophthalmology, pulmonology, gastroenterology, nephrology, endocrinology, oncology and osteology are discussed.

  4. A functional data analysis approach for genetic association studies

    OpenAIRE

    Reimherr, Matthew; Nicolae, Dan

    2014-01-01

    We present a new method based on Functional Data Analysis (FDA) for detecting associations between one or more scalar covariates and a longitudinal response, while correcting for other variables. Our methods exploit the temporal structure of longitudinal data in ways that are otherwise difficult with a multivariate approach. Our procedure, from an FDA perspective, is a departure from more established methods in two key aspects. First, the raw longitudinal phenotypes are assembled into functio...

  5. The effects of school policies and practices on eighth-grade science achievement: A multilevel analysis of TIMSS

    Science.gov (United States)

    Smyth, Carol Ann Mary

    Identifying the relative importance of both alterable school policies and fairly stable contextual factors as they relate to middle level science achievement, a domain of identified national concern, requires simultaneous investigation of multilevel predictors (i.e., student level and school level) specific to the grade level and academic subject area. The school level factors are predictors associated with both the school (e.g., average socioeconomic status, tracking, and instructional time) and the classroom (e.g., average academic press of peers, teacher collaboration, and instructional strategies). The current study assessed the effects of school policies, practices, and contextual factors on the science achievement of eighth grade students. These influences were considered to be both additive (i.e., influencing the mean achievement in a school after controlling for student characteristics) and interactive (i.e., affecting the relationships between student background characteristics and individual achievement). To account for the nested structure of predictors and cross level interactions among predictors, a multilevel model for middle level science achievement was estimated using hierarchical linear modeling (HLM) with data collected from eighth grade students, science teachers, and administrators in 1995 as part of the Third International Mathematics and Science Study (TIMSS). The major findings of this research suggest that although average eighth grade science achievement in a school was primarily associated with the contextual characteristics of the classroom and the school (e.g., average socioeconomic status and average academic press), both the academic differentiating influence of prior achievement and the social differentiating influence of parental education on the science achievement of eighth grade students were related not only to contextual characteristics of the classroom and the school, but also to the instructional policies of the classroom

  6. Phylotyping and functional analysis of two ancient human microbiomes.

    Directory of Open Access Journals (Sweden)

    Raúl Y Tito

    Full Text Available BACKGROUND: The Human Microbiome Project (HMP is one of the U.S. National Institutes of Health Roadmap for Medical Research. Primary interests of the HMP include the distinctiveness of different gut microbiomes, the factors influencing microbiome diversity, and the functional redundancies of the members of human microbiotas. In this present work, we contribute to these interests by characterizing two extinct human microbiotas. METHODOLOGY/PRINCIPAL FINDINGS: We examine two paleofecal samples originating from cave deposits in Durango Mexico and dating to approximately 1300 years ago. Contamination control is a serious issue in ancient DNA research; we use a novel approach to control contamination. After we determined that each sample originated from a different human, we generated 45 thousand shotgun DNA sequencing reads. The phylotyping and functional analysis of these reads reveals a signature consistent with the modern gut ecology. Interestingly, inter-individual variability for phenotypes but not functional pathways was observed. The two ancient samples have more similar functional profiles to each other than to a recently published profile for modern humans. This similarity could not be explained by a chance sampling of the databases. CONCLUSIONS/SIGNIFICANCE: We conduct a phylotyping and functional analysis of ancient human microbiomes, while providing novel methods to control for DNA contamination and novel hypotheses about past microbiome biogeography. We postulate that natural selection has more of an influence on microbiome functional profiles than it does on the species represented in the microbial ecology. We propose that human microbiomes were more geographically structured during pre-Columbian times than today.

  7. Phylogenomic and functional domain analysis of polyketide synthases in Fusarium

    Energy Technology Data Exchange (ETDEWEB)

    Brown, Daren W.; Butchko, Robert A.; Baker, Scott E.; Proctor, Robert H.

    2012-02-01

    Fusarium species are ubiquitous in nature, cause a range of plant diseases, and produce a variety of chemicals often referred to as secondary metabolites. Although some fungal secondary metabolites affect plant growth or protect plants from other fungi and bacteria, their presence in grain based food and feed is more often associated with a variety of diseases in plants and in animals. Many of these structurally diverse metabolites are derived from a family of related enzymes called polyketide synthases (PKSs). A search of genomic sequence of Fusarium verticillioides, F. graminearum, F. oxysporum and Nectria haematococca (anamorph F. solani) identified a total of 58 PKS genes. To gain insight into how this gene family evolved and to guide future studies, we conducted a phylogenomic and functional domain analysis. The resulting genealogy suggested that Fusarium PKSs represent 34 different groups responsible for synthesis of different core metabolites. The analyses indicate that variation in the Fusarium PKS gene family is due to gene duplication and loss events as well as enzyme gain-of-function due to the acquisition of new domains or of loss-of-function due to nucleotide mutations. Transcriptional analysis indicate that the 16 F. verticillioides PKS genes are expressed under a range of conditions, further evidence that they are functional genes that confer the ability to produce secondary metabolites.

  8. Using Operational Analysis to Improve Access to Pulmonary Function Testing

    Directory of Open Access Journals (Sweden)

    Ada Ip

    2016-01-01

    Full Text Available Background. Timely pulmonary function testing is crucial to improving diagnosis and treatment of pulmonary diseases. Perceptions of poor access at an academic pulmonary function laboratory prompted analysis of system demand and capacity to identify factors contributing to poor access. Methods. Surveys and interviews identified stakeholder perspectives on operational processes and access challenges. Retrospective data on testing demand and resource capacity was analyzed to understand utilization of testing resources. Results. Qualitative analysis demonstrated that stakeholder groups had discrepant views on access and capacity in the laboratory. Mean daily resource utilization was 0.64 (SD 0.15, with monthly average utilization consistently less than 0.75. Reserved testing slots for subspecialty clinics were poorly utilized, leaving many testing slots unfilled. When subspecialty demand exceeded number of reserved slots, there was sufficient capacity in the pulmonary function schedule to accommodate added demand. Findings were shared with stakeholders and influenced scheduling process improvements. Conclusion. This study highlights the importance of operational data to identify causes of poor access, guide system decision-making, and determine effects of improvement initiatives in a variety of healthcare settings. Importantly, simple operational analysis can help to improve efficiency of health systems with little or no added financial investment.

  9. Acquisition and analysis strategies in functional MRI at high fields

    International Nuclear Information System (INIS)

    Windischberger, C.

    2001-08-01

    Functional magnetic resonance imaging represents a non-invasive technique to examine neuronal activity in the brain. It applies radio waves to excite nuclear spins, using the emitted signal during relaxation for image generation. Signal modulations from local blood flow and oxygenation level changes caused by neuronal activity are the basis for calculating functional brain maps with high spatial resolution. The present work discusses concepts for improving the spatial and temporal resolution, as well as sophisticated analysis approaches. Besides an exhaustive description of image reconstruction algorithms, computational simulations on echo-shifting in echo-planar imaging are presented and effects on spatial resolution are quantified. The results demonstrate that echo-shifting causes only minimal resolution losses for high signal-to-noise data, but leads to severe resolution degradation (up to 30 %) in images with low signal-to-noise ratios. After an overview of the mechanisms that cause fMRI signal changes subsequent to neuronal activity, explorative analysis algorithms like Fuzzy Cluster Analysis, as well as parametric approaches are described and discussed. In the context of fMRI artifacts, effects of respiratory motion are examined. For the first time, well-defined breathing patterns are used to quantify the influences on fMRI signal intensity. Also, the variability of fMRI activation in a mental rotation paradigm are investigated, using single-trial analysis. Such, intra-subject activation consistency was determined successfully. Finally, in a second study on mental rotation explorative data analysis was applied to retrieve neuro-functional hypotheses. (author)

  10. A Systemic-Functional Analysis of English Language Learners' Writing

    Directory of Open Access Journals (Sweden)

    Luciana C. DE OLIVEIRA

    2015-06-01

    Full Text Available This article presents a systemic-functional linguistic analysis of two writing samples of the University of California Analytical Writing Placement (AWP Examination written by English language learners (ELLs. The analysis shows the linguistic features utilized in the two writing samples, one that received a passing score and one that received a failing score. The article describes some of the grammatical resources which are functional for expository writing, which are divided under three main categories: textual, interpersonal, and ideational resources. Following this brief description is the analysis of both essays in terms of these resources.. The configuration of grammatical features used in the essays make up the detached style of essay 1 and the more personal style of essay 2. These grammatical features include the textual resources of thematic choices and development, clause-combining strategies (connectors, and lexical cohesion; interpersonal resources of interpersonal metaphors of modality; and ideational resources of nominalization and abstractions as ideational metaphors. Implications for educational practice and recommendations for educators based on the analysis are provided.

  11. Discriminant analysis of functional optical topography for schizophrenia diagnosis

    Science.gov (United States)

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

    2014-01-01

    Abnormal prefrontal function plays a central role in the cognition deficits of schizophrenic patients; however, the character of the relationship between discriminant analysis and prefrontal activation remains undetermined. Recently, evidence of low prefrontal cortex (PFC) activation in individuals with schizophrenia has also been found during verbal fluency tests (VFT) and other cognitive tests with several neuroimaging methods. The purpose of this study is to assess the hemodynamic changes of the PFC and discriminant analysis between schizophrenia patients and healthy controls during VFT task by utilizing functional optical topography. A total of 99 subjects including 53 schizophrenic patients and 46 age- and gender-matched healthy controls were studied. The results showed that the healthy group had larger activation in the right and left PFC than in the middle PFC. Besides, the schizophrenic group showed weaker task performance and lower activation in the whole PFC than the healthy group. The result of the discriminant analysis showed a significant difference with P value <0.001 in six channels (CH 23, 29, 31, 40, 42, 52) between the schizophrenic and healthy groups. Finally, 68.69% and 71.72% of subjects are correctly classified as being schizophrenic or healthy with all 52 channels and six significantly different channels, respectively. Our findings suggest that the left PFC can be a feature region for discriminant analysis of schizophrenic diagnosis.

  12. ProbFAST: Probabilistic Functional Analysis System Tool

    Directory of Open Access Journals (Sweden)

    Oliveira Thiago YK

    2010-03-01

    Full Text Available Abstract Background The post-genomic era has brought new challenges regarding the understanding of the organization and function of the human genome. Many of these challenges are centered on the meaning of differential gene regulation under distinct biological conditions and can be performed by analyzing the Multiple Differential Expression (MDE of genes associated with normal and abnormal biological processes. Currently MDE analyses are limited to usual methods of differential expression initially designed for paired analysis. Results We proposed a web platform named ProbFAST for MDE analysis which uses Bayesian inference to identify key genes that are intuitively prioritized by means of probabilities. A simulated study revealed that our method gives a better performance when compared to other approaches and when applied to public expression data, we demonstrated its flexibility to obtain relevant genes biologically associated with normal and abnormal biological processes. Conclusions ProbFAST is a free accessible web-based application that enables MDE analysis on a global scale. It offers an efficient methodological approach for MDE analysis of a set of genes that are turned on and off related to functional information during the evolution of a tumor or tissue differentiation. ProbFAST server can be accessed at http://gdm.fmrp.usp.br/probfast.

  13. ProbFAST: Probabilistic functional analysis system tool.

    Science.gov (United States)

    Silva, Israel T; Vêncio, Ricardo Z N; Oliveira, Thiago Y K; Molfetta, Greice A; Silva, Wilson A

    2010-03-30

    The post-genomic era has brought new challenges regarding the understanding of the organization and function of the human genome. Many of these challenges are centered on the meaning of differential gene regulation under distinct biological conditions and can be performed by analyzing the Multiple Differential Expression (MDE) of genes associated with normal and abnormal biological processes. Currently MDE analyses are limited to usual methods of differential expression initially designed for paired analysis. We proposed a web platform named ProbFAST for MDE analysis which uses Bayesian inference to identify key genes that are intuitively prioritized by means of probabilities. A simulated study revealed that our method gives a better performance when compared to other approaches and when applied to public expression data, we demonstrated its flexibility to obtain relevant genes biologically associated with normal and abnormal biological processes. ProbFAST is a free accessible web-based application that enables MDE analysis on a global scale. It offers an efficient methodological approach for MDE analysis of a set of genes that are turned on and off related to functional information during the evolution of a tumor or tissue differentiation. ProbFAST server can be accessed at http://gdm.fmrp.usp.br/probfast.

  14. Qualitative Functional Decomposition Analysis of Evolved Neuromorphic Flight Controllers

    Directory of Open Access Journals (Sweden)

    Sanjay K. Boddhu

    2012-01-01

    Full Text Available In the previous work, it was demonstrated that one can effectively employ CTRNN-EH (a neuromorphic variant of EH method methodology to evolve neuromorphic flight controllers for a flapping wing robot. This paper describes a novel frequency grouping-based analysis technique, developed to qualitatively decompose the evolved controllers into explainable functional control blocks. A summary of the previous work related to evolving flight controllers for two categories of the controller types, called autonomous and nonautonomous controllers, is provided, and the applicability of the newly developed decomposition analysis for both controller categories is demonstrated. Further, the paper concludes with appropriate discussion of ongoing work and implications for possible future work related to employing the CTRNN-EH methodology and the decomposition analysis techniques presented in this paper.

  15. Analysis of room transfer function and reverberant signal statistics

    DEFF Research Database (Denmark)

    Georganti, Eleftheria; Mourjopoulos, John; Jacobsen, Finn

    2008-01-01

    For some time now, statistical analysis has been a valuable tool in analyzing room transfer functions (RTFs). This work examines existing statistical time-frequency models and techniques for RTF analysis (e.g., Schroeder's stochastic model and the standard deviation over frequency bands for the RTF...... magnitude and phase). RTF fractional octave smoothing, as with 1-slash 3 octave analysis, may lead to RTF simplifications that can be useful for several audio applications, like room compensation, room modeling, auralisation purposes. The aim of this work is to identify the relationship of optimal response...... and the corresponding ratio of the direct and reverberant signal. In addition, this work examines the statistical quantities for speech and audio signals prior to their reproduction within rooms and when recorded in rooms. Histograms and other statistical distributions are used to compare RTF minima of typical...

  16. [Effect factors analysis of knee function recovery after distal femoral fracture operation].

    Science.gov (United States)

    Bei, Chaoyong; Wang, Ruiying; Tang, Jicun; Li, Qiang

    2009-09-01

    To investigate the effect factors of knee function recovery after operation in distal femoral fractures. From January 2001 to May 2007, 92 cases of distal femoral fracture were treated. There were 50 males and 42 females, aged 20-77 years old (average 46.7 years old). Fracture was caused by traffic accident in 48 cases, by falling from height in 26 cases, by bruise in 12 cases and by tumble in 6 cases. According to Müller's Fracture classification, there were 29 cases of type A, 12 cases of type B and 51 cases of type C. According to American Society of Anesthesiologists (ASA) classification, there were 21 cases of grade I, 39 cases of grade II, 24 cases of grade III, and 8 cases of grade IV. The time from injury to operation was 4 hours to 24 days with an average of 7 days. Anatomical plate was used in 43 cases, retrograde interlocking intramedullary nail in 37 cases, and bone screws, bolts and internal fixation with Kirschner pins in 12 cases. After operation, the HSS knee function score was used to evaluate efficacy. Ten related factors were applied for statistical analysis, to knee function recovery after operation in distal femoral fractures, such as age, sex, preoperative ASA classification, injury to surgery time, fracture type, treatment, reduction quality, functional exercise after operation, whether or not CPM functional training and postoperative complications. Wound healed by first intention in 88 cases, infection occurred in 4 cases. All patients followed up 16-32 months with an average of 23.1 months. Clinical union of fracture was achieved within 3-7 months after operation. Extensor device adhesions and the scope of activities of fracture displacement in 6 cases, mild knee varus or valgus in 7 cases and implant loosening in 6 cases. According to HSS knee function score, the results were excellent in 52 cases, good in 15 cases, fair in 10 cases and poor in 15 cases with an excellent and good rate of 72.83%. Single factor analysis showed that age

  17. Achieving consensus in robot swarms design and analysis of strategies for the best-of-n problem

    CERN Document Server

    Valentini, Gabriele

    2017-01-01

    This book focuses on the design and analysis of collective decision-making strategies for the best-of-n problem. After providing a formalization of the structure of the best-of-n problem supported by a comprehensive survey of the swarm robotics literature, it introduces the functioning of a collective decision-making strategy and identifies a set of mechanisms that are essential for a strategy to solve the best-of-n problem. The best-of-n problem is an abstraction that captures the frequent requirement of a robot swarm to choose one option from of a finite set when optimizing benefits and costs. The book leverages the identification of these mechanisms to develop a modular and model-driven methodology to design collective decision-making strategies and to analyze their performance at different level of abstractions. Lastly, the author provides a series of case studies in which the proposed methodology is used to design different strategies, using robot experiments to show how the designed strategies can b...

  18. Hepatic mitochondrial function analysis using needle liver biopsy samples.

    Directory of Open Access Journals (Sweden)

    Michael J J Chu

    Full Text Available BACKGROUNDS AND AIM: Current assessment of pre-operative liver function relies upon biochemical blood tests and histology but these only indirectly measure liver function. Mitochondrial function (MF analysis allows direct measurement of cellular metabolic function and may provide an additional index of hepatic health. Conventional MF analysis requires substantial tissue samples (>100 mg obtained at open surgery. Here we report a method to assess MF using <3 mg of tissue obtained by a Tru-cut® biopsy needle making it suitable for percutaneous application. METHODS: An 18G Bard® Max-core® biopsy instrument was used to collect samples. The optimal Tru-cut® sample weight, stability in ice-cold University of Wisconsin solution, reproducibility and protocol utility was initially evaluated in Wistar rat livers then confirmed in human samples. MF was measured in saponin-permeabilized samples using high-resolution respirometry. RESULTS: The average mass of a single rat and human liver Tru-cut® biopsy was 5.60±0.30 and 5.16±0.15 mg, respectively (mean; standard error of mean. Two milligram of sample was found the lowest feasible mass for the MF assay. Tissue MF declined after 1 hour of cold storage. Six replicate measurements within rats and humans (n = 6 each showed low coefficient of variation (<10% in measurements of State-III respiration, electron transport chain (ETC capacity and respiratory control ratio (RCR. Ischemic rat and human liver samples consistently showed lower State-III respiration, ETC capacity and RCR, compared to normal perfused liver samples. CONCLUSION: Consistent measurement of liver MF and detection of derangement in a disease state was successfully demonstrated using less than half the tissue from a single Tru-cut® biopsy. Using this technique outpatient assessment of liver MF is now feasible, providing a new assay for the evaluation of hepatic function.

  19. Large-scale functional MRI analysis to accumulate knowledge on brain functions

    International Nuclear Information System (INIS)

    Schwartz, Yannick

    2015-01-01

    How can we accumulate knowledge on brain functions? How can we leverage years of research in functional MRI to analyse finer-grained psychological constructs, and build a comprehensive model of the brain? Researchers usually rely on single studies to delineate brain regions recruited by mental processes. They relate their findings to previous works in an informal way by defining regions of interest from the literature. Meta-analysis approaches provide a more principled way to build upon the literature. This thesis investigates three ways to assemble knowledge using activation maps from a large amount of studies. First, we present an approach that uses jointly two similar fMRI experiments, to better condition an analysis from a statistical standpoint. We show that it is a valuable data-driven alternative to traditional regions of interest analyses, but fails to provide a systematic way to relate studies, and thus does not permit to integrate knowledge on a large scale. Because of the difficulty to associate multiple studies, we resort to using a single dataset sampling a large number of stimuli for our second contribution. This method estimates functional networks associated with functional profiles, where the functional networks are interacting brain regions and the functional profiles are a weighted set of cognitive descriptors. This work successfully yields known brain networks and automatically associates meaningful descriptions. Its limitations lie in the unsupervised nature of this method, which is more difficult to validate, and the use of a single dataset. It however brings the notion of cognitive labels, which is central to our last contribution. Our last contribution presents a method that learns functional atlases by combining several datasets. [Henson 2006] shows that forward inference, i.e. the probability of an activation given a cognitive process, is often not sufficient to conclude on the engagement of brain regions for a cognitive process

  20. Analysis of cardiac diastolic function: application in coronary artery disease

    International Nuclear Information System (INIS)

    Miller, T.R.; Goldman, K.J.; Sampathkumaran, K.S.; Biello, D.R.; Ludbrook, P.A.; Sobel, B.E.

    1983-01-01

    Separation of systolic and diastolic parameters in gated cardiac blood-pool imaging (RVG) was achieved with the retention of two harmonics in the Fourier-series representation of the time-activity curve. Regional and global analysis of left-ventricular peak filling rate (PFR) and time to peak filling (TPF) was performed in 18 control subjects, 20 patients with coronary artery disease (CAD) but with normal RVG (normal regional wall motion and ejection fraction, and 16 CAD patients with abnormal RVG. In regional analysis of CAD patients, the standard deviation of the TPF histogram identified 13/20 (65%) of normal RVG patients and 12/16 (75%) of abnormal RVG patients as abnormal. In global analysis of CAD patients, PFR values identified 10/20 (50%) of normal RVG patients and 11/16 (69%) of abnormal RVG patients as abnormal. Thus, left-ventricular systolic and diastolic parameters can be separately measured with retention of higher-order harmonics in the Fourier transform, and regional inhomogeneity of diastolic filling can be detected in CAD patients with normal resting ejection fraction and wall motion

  1. Accident Analysis and Barrier Function (AEB) Method. Manual for Incident Analysis

    Energy Technology Data Exchange (ETDEWEB)

    Svenson, Ola [Stockholm Univ. (Sweden). Dept. of Psychology

    2000-02-01

    The Accident Analysis and Barrier Function (AEB) Method models an accident or incident as a series of interactions between human and technical systems. In the sequence of human and technical errors leading to an accident there is, in principle, a possibility to arrest the development between each two successive errors. This can be done by a barrier function which, for example, can stop an operator from making an error. A barrier function can be performed by one or several barrier function systems. To illustrate, a mechanical system, a computer system or another operator can all perform a given barrier function to stop an operator from making an error. The barrier function analysis consists of analysis of suggested improvements, the effectiveness of the improvements, the costs of implementation, probability of implementation, the cost of maintaining the barrier function, the probability that maintenance will be kept up to standards and the generalizability of the suggested improvement. The AEB method is similar to the US method called HPES, but differs from that method in different ways. To exemplify, the AEB method has more emphasis on technical errors than HPES. In contrast to HPES that describes a series of events, the AEB method models only errors. This gives a more focused analysis making it well suited for checking other HPES-type accident analyses. However, the AEB method is a generic and stand-alone method that has been applied in other fields than nuclear power, such as, in traffic accident analyses.

  2. Accident Analysis and Barrier Function (AEB) Method. Manual for Incident Analysis

    International Nuclear Information System (INIS)

    Svenson, Ola

    2000-02-01

    The Accident Analysis and Barrier Function (AEB) Method models an accident or incident as a series of interactions between human and technical systems. In the sequence of human and technical errors leading to an accident there is, in principle, a possibility to arrest the development between each two successive errors. This can be done by a barrier function which, for example, can stop an operator from making an error. A barrier function can be performed by one or several barrier function systems. To illustrate, a mechanical system, a computer system or another operator can all perform a given barrier function to stop an operator from making an error. The barrier function analysis consists of analysis of suggested improvements, the effectiveness of the improvements, the costs of implementation, probability of implementation, the cost of maintaining the barrier function, the probability that maintenance will be kept up to standards and the generalizability of the suggested improvement. The AEB method is similar to the US method called HPES, but differs from that method in different ways. To exemplify, the AEB method has more emphasis on technical errors than HPES. In contrast to HPES that describes a series of events, the AEB method models only errors. This gives a more focused analysis making it well suited for checking other HPES-type accident analyses. However, the AEB method is a generic and stand-alone method that has been applied in other fields than nuclear power, such as, in traffic accident analyses

  3. Analysis of large fault trees based on functional decomposition

    International Nuclear Information System (INIS)

    Contini, Sergio; Matuzas, Vaidas

    2011-01-01

    With the advent of the Binary Decision Diagrams (BDD) approach in fault tree analysis, a significant enhancement has been achieved with respect to previous approaches, both in terms of efficiency and accuracy of the overall outcome of the analysis. However, the exponential increase of the number of nodes with the complexity of the fault tree may prevent the construction of the BDD. In these cases, the only way to complete the analysis is to reduce the complexity of the BDD by applying the truncation technique, which nevertheless implies the problem of estimating the truncation error or upper and lower bounds of the top-event unavailability. This paper describes a new method to analyze large coherent fault trees which can be advantageously applied when the working memory is not sufficient to construct the BDD. It is based on the decomposition of the fault tree into simpler disjoint fault trees containing a lower number of variables. The analysis of each simple fault tree is performed by using all the computational resources. The results from the analysis of all simpler fault trees are re-combined to obtain the results for the original fault tree. Two decomposition methods are herewith described: the first aims at determining the minimal cut sets (MCS) and the upper and lower bounds of the top-event unavailability; the second can be applied to determine the exact value of the top-event unavailability. Potentialities, limitations and possible variations of these methods will be discussed with reference to the results of their application to some complex fault trees.

  4. Analysis of large fault trees based on functional decomposition

    Energy Technology Data Exchange (ETDEWEB)

    Contini, Sergio, E-mail: sergio.contini@jrc.i [European Commission, Joint Research Centre, Institute for the Protection and Security of the Citizen, 21020 Ispra (Italy); Matuzas, Vaidas [European Commission, Joint Research Centre, Institute for the Protection and Security of the Citizen, 21020 Ispra (Italy)

    2011-03-15

    With the advent of the Binary Decision Diagrams (BDD) approach in fault tree analysis, a significant enhancement has been achieved with respect to previous approaches, both in terms of efficiency and accuracy of the overall outcome of the analysis. However, the exponential increase of the number of nodes with the complexity of the fault tree may prevent the construction of the BDD. In these cases, the only way to complete the analysis is to reduce the complexity of the BDD by applying the truncation technique, which nevertheless implies the problem of estimating the truncation error or upper and lower bounds of the top-event unavailability. This paper describes a new method to analyze large coherent fault trees which can be advantageously applied when the working memory is not sufficient to construct the BDD. It is based on the decomposition of the fault tree into simpler disjoint fault trees containing a lower number of variables. The analysis of each simple fault tree is performed by using all the computational resources. The results from the analysis of all simpler fault trees are re-combined to obtain the results for the original fault tree. Two decomposition methods are herewith described: the first aims at determining the minimal cut sets (MCS) and the upper and lower bounds of the top-event unavailability; the second can be applied to determine the exact value of the top-event unavailability. Potentialities, limitations and possible variations of these methods will be discussed with reference to the results of their application to some complex fault trees.

  5. A Long-Gap Peripheral Nerve Injury Therapy Using Human Skeletal Muscle-Derived Stem Cells (Sk-SCs): An Achievement of Significant Morphological, Numerical and Functional Recovery.

    Science.gov (United States)

    Tamaki, Tetsuro; Hirata, Maki; Nakajima, Nobuyuki; Saito, Kosuke; Hashimoto, Hiroyuki; Soeda, Shuichi; Uchiyama, Yoshiyasu; Watanabe, Masahiko

    2016-01-01

    Losses in vital functions of the somatic motor and sensory nervous system are induced by severe long-gap peripheral nerve transection injury. In such cases, autologous nerve grafts are the gold standard treatment, despite the unavoidable sacrifice of other healthy functions, whereas the prognosis is not always favorable. Here, we use human skeletal muscle-derived stem cells (Sk-SCs) to reconstitute the function after long nerve-gap injury. Muscles samples were obtained from the amputated legs from 9 patients following unforeseen accidents. The Sk-SCs were isolated using conditioned collagenase solution, and sorted as CD34+/45- (Sk-34) and CD34-/45-/29+ (Sk-DN/29+) cells. Cells were separately cultured/expanded under optimal conditions for 2 weeks, then injected into the athymic nude mice sciatic nerve long-gap model (7-mm) bridging an acellular conduit. After 8-12 weeks, active cell engraftment was observed only in the Sk-34 cell transplanted group, showing preferential differentiation into Schwann cells and perineurial/endoneurial cells, as well as formation of the myelin sheath and perineurium/endoneurium surrounding regenerated axons, resulted in 87% of numerical recovery. Differentiation into vascular cell lineage (pericyte and endothelial cells) were also observed. A significant tetanic tension recovery (over 90%) of downstream muscles following electrical stimulation of the sciatic nerve (at upper portion of the gap) was also achieved. In contrast, Sk-DN/29+ cells were completely eliminated during the first 4 weeks, but relatively higher numerical (83% vs. 41% in axon) and functional (80% vs. 60% in tetanus) recovery than control were observed. Noteworthy, significant increase in the formation of vascular networks in the conduit during the early stage (first 2 weeks) of recovery was observed in both groups with the expression of key factors (mRNA and protein levels), suggesting the paracrine effects to angiogenesis. These results suggested that the human Sk

  6. A Long-Gap Peripheral Nerve Injury Therapy Using Human Skeletal Muscle-Derived Stem Cells (Sk-SCs: An Achievement of Significant Morphological, Numerical and Functional Recovery.

    Directory of Open Access Journals (Sweden)

    Tetsuro Tamaki

    Full Text Available Losses in vital functions of the somatic motor and sensory nervous system are induced by severe long-gap peripheral nerve transection injury. In such cases, autologous nerve grafts are the gold standard treatment, despite the unavoidable sacrifice of other healthy functions, whereas the prognosis is not always favorable. Here, we use human skeletal muscle-derived stem cells (Sk-SCs to reconstitute the function after long nerve-gap injury. Muscles samples were obtained from the amputated legs from 9 patients following unforeseen accidents. The Sk-SCs were isolated using conditioned collagenase solution, and sorted as CD34+/45- (Sk-34 and CD34-/45-/29+ (Sk-DN/29+ cells. Cells were separately cultured/expanded under optimal conditions for 2 weeks, then injected into the athymic nude mice sciatic nerve long-gap model (7-mm bridging an acellular conduit. After 8-12 weeks, active cell engraftment was observed only in the Sk-34 cell transplanted group, showing preferential differentiation into Schwann cells and perineurial/endoneurial cells, as well as formation of the myelin sheath and perineurium/endoneurium surrounding regenerated axons, resulted in 87% of numerical recovery. Differentiation into vascular cell lineage (pericyte and endothelial cells were also observed. A significant tetanic tension recovery (over 90% of downstream muscles following electrical stimulation of the sciatic nerve (at upper portion of the gap was also achieved. In contrast, Sk-DN/29+ cells were completely eliminated during the first 4 weeks, but relatively higher numerical (83% vs. 41% in axon and functional (80% vs. 60% in tetanus recovery than control were observed. Noteworthy, significant increase in the formation of vascular networks in the conduit during the early stage (first 2 weeks of recovery was observed in both groups with the expression of key factors (mRNA and protein levels, suggesting the paracrine effects to angiogenesis. These results suggested that the

  7. Frontotemporal Dysfunction in Amyotrophic Lateral Sclerosis: A Discriminant Function Analysis.

    Science.gov (United States)

    Nidos, Andreas; Kasselimis, Dimitrios S; Simos, Panagiotis G; Rentzos, Michael; Alexakis, Theodoros; Zalonis, Ioannis; Zouvelou, Vassiliki; Potagas, Constantin; Evdokimidis, Ioannis; Woolley, Susan C

    2016-01-01

    There is growing evidence for extramotor dysfunction (EMd) in amyotrophic lateral sclerosis (ALS), with a reported prevalence of up to 52%. In the present study, we explore the clinical utility of a brief neuropsychological battery for the investigation of cognitive, behavioral, and language deficits in patients with ALS. Thirty-four consecutive ALS patients aged 44-89 years were tested with a brief neuropsychological battery, including executive, behavioral, and language measures. Patients were initially classified as EMd or non-EMd based on their scores on the frontal assessment battery (FAB). Between-group comparisons revealed significant differences in all measures (p < 0.01). Discriminant analysis resulted in a single canonical function, with all tests serving as significant predictors. This function agreed with the FAB in 13 of 17 patients screened as EMd and identified extramotor deficits in 2 additional patients. Overall sensitivity and specificity estimates against FAB were 88.2%. We stress the importance of discriminant function analysis in clinical neuropsychological assessment and argue that the proposed neuropsychological battery may be of clinical value, especially when the option of extensive and comprehensive neuropsychological testing is limited. The psychometric validity of an ALS-frontotemporal dementia diagnosis using neuropsychological tests is also discussed. © 2015 S. Karger AG, Basel.

  8. Analysis of a Heroin Epidemic Model with Saturated Treatment Function

    Directory of Open Access Journals (Sweden)

    Isaac Mwangi Wangari

    2017-01-01

    Full Text Available A mathematical model is developed that examines how heroin addiction spreads in society. The model is formulated to take into account the treatment of heroin users by incorporating a realistic functional form that “saturates” representing the limited availability of treatment. Bifurcation analysis reveals that the model has an intrinsic backward bifurcation whenever the saturation parameter is larger than a fixed threshold. We are particularly interested in studying the model’s global stability. In the absence of backward bifurcations, Lyapunov functions can often be found and used to prove global stability. However, in the presence of backward bifurcations, such Lyapunov functions may not exist or may be difficult to construct. We make use of the geometric approach to global stability to derive a condition that ensures that the system is globally asymptotically stable. Numerical simulations are also presented to give a more complete representation of the model dynamics. Sensitivity analysis performed by Latin hypercube sampling (LHS suggests that the effective contact rate in the population, the relapse rate of heroin users undergoing treatment, and the extent of saturation of heroin users are mechanisms fuelling heroin epidemic proliferation.

  9. Functional complexity of the axonal growth cone: a proteomic analysis.

    Directory of Open Access Journals (Sweden)

    Adriana Estrada-Bernal

    Full Text Available The growth cone, the tip of the emerging neurite, plays a crucial role in establishing the wiring of the developing nervous system. We performed an extensive proteomic analysis of axonal growth cones isolated from the brains of fetal Sprague-Dawley rats. Approximately 2000 proteins were identified at ≥ 99% confidence level. Using informatics, including functional annotation cluster and KEGG pathway analysis, we found great diversity of proteins involved in axonal pathfinding, cytoskeletal remodeling, vesicular traffic and carbohydrate metabolism, as expected. We also found a large and complex array of proteins involved in translation, protein folding, posttranslational processing, and proteasome/ubiquitination-dependent degradation. Immunofluorescence studies performed on hippocampal neurons in culture confirmed the presence in the axonal growth cone of proteins representative of these processes. These analyses also provide evidence for rough endoplasmic reticulum and reveal a reticular structure equipped with Golgi-like functions in the axonal growth cone. Furthermore, Western blot revealed the growth cone enrichment, relative to fetal brain homogenate, of some of the proteins involved in protein synthesis, folding and catabolism. Our study provides a resource for further research and amplifies the relatively recently developed concept that the axonal growth cone is equipped with proteins capable of performing a highly diverse range of functions.

  10. Defining the Relationship of Student Achievement Between STEM Subjects Through Canonical Correlation Analysis of 2011 Trends in International Mathematics and Science Study (TIMSS) Data

    Science.gov (United States)

    O'Neal, Melissa Jean

    Canonical correlation analysis was used to analyze data from Trends in International Mathematics and Science Study (TIMSS) 2011 achievement databases encompassing information from fourth/eighth grades. Student achievement in life science/biology was correlated with achievement in mathematics and other sciences across three analytical areas: mathematics and science student performance, achievement in cognitive domains, and achievement in content domains. Strong correlations between student achievement in life science/biology with achievement in mathematics and overall science occurred for both high- and low-performing education systems. Hence, partial emphases on the inter-subject connections did not always lead to a better student learning outcome in STEM education. In addition, student achievement in life science/biology was positively correlated with achievement in mathematics and science cognitive domains; these patterns held true for correlations of life science/biology with mathematics as well as other sciences. The importance of linking student learning experiences between and within STEM domains to support high performance on TIMSS assessments was indicated by correlations of moderate strength (57 TIMSS assessments was indicated by correlations of moderate strength (57 mathematics, and other sciences. At the eighth grade level, students who built increasing levels of cognitive complexity upon firm foundations were prepared for successful learning throughout their educational careers. The results from this investigation promote a holistic design of school learning opportunities to improve student achievement in life science/biology and other science, technology, engineering, and mathematics (STEM) subjects at the elementary and middle school levels. While the curriculum can vary from combined STEM subjects to separated mathematics or science courses, both professional learning communities (PLC) for teachers and problem-based learning (PBL) for learners can be

  11. Longitudinal Analysis of Music Education on Executive Functions in Primary School Children

    Science.gov (United States)

    Jaschke, Artur C.; Honing, Henkjan; Scherder, Erik J. A.

    2018-01-01

    Background: Research on the effects of music education on cognitive abilities has generated increasing interest across the scientific community. Nonetheless, longitudinal studies investigating the effects of structured music education on cognitive sub-functions are still rare. Prime candidates for investigating a relationship between academic achievement and music education appear to be executive functions such as planning, working memory, and inhibition. Methods: One hundred and forty-seven primary school children, Mage = 6.4 years, SD = 0.65 were followed for 2.5 years. Participants were randomized into four groups: two music intervention groups, one active visual arts group, and a no arts control group. Neuropsychological tests assessed verbal intelligence and executive functions. Additionally, a national pupil monitor provided data on academic performance. Results: Children in the visual arts group perform better on visuospatial memory tasks as compared to the three other conditions. However, the test scores on inhibition, planning and verbal intelligence increased significantly in the two music groups over time as compared to the visual art and no arts controls. Mediation analysis with executive functions and verbal IQ as mediator for academic performance have shown a possible far transfer effect from executive sub-function to academic performance scores. Discussion: The present results indicate a positive influence of long-term music education on cognitive abilities such as inhibition and planning. Of note, following a two-and-a-half year long visual arts program significantly improves scores on a visuospatial memory task. All results combined, this study supports a far transfer effect from music education to academic achievement mediated by executive sub-functions. PMID:29541017

  12. Longitudinal Analysis of Music Education on Executive Functions in Primary School Children

    Directory of Open Access Journals (Sweden)

    Artur C. Jaschke

    2018-02-01

    Full Text Available Background: Research on the effects of music education on cognitive abilities has generated increasing interest across the scientific community. Nonetheless, longitudinal studies investigating the effects of structured music education on cognitive sub-functions are still rare. Prime candidates for investigating a relationship between academic achievement and music education appear to be executive functions such as planning, working memory, and inhibition.Methods: One hundred and forty-seven primary school children, Mage = 6.4 years, SD = 0.65 were followed for 2.5 years. Participants were randomized into four groups: two music intervention groups, one active visual arts group, and a no arts control group. Neuropsychological tests assessed verbal intelligence and executive functions. Additionally, a national pupil monitor provided data on academic performance.Results: Children in the visual arts group perform better on visuospatial memory tasks as compared to the three other conditions. However, the test scores on inhibition, planning and verbal intelligence increased significantly in the two music groups over time as compared to the visual art and no arts controls. Mediation analysis with executive functions and verbal IQ as mediator for academic performance have shown a possible far transfer effect from executive sub-function to academic performance scores.Discussion: The present results indicate a positive influence of long-term music education on cognitive abilities such as inhibition and planning. Of note, following a two-and-a-half year long visual arts program significantly improves scores on a visuospatial memory task. All results combined, this study supports a far transfer effect from music education to academic achievement mediated by executive sub-functions.

  13. Longitudinal Analysis of Music Education on Executive Functions in Primary School Children.

    Science.gov (United States)

    Jaschke, Artur C; Honing, Henkjan; Scherder, Erik J A

    2018-01-01

    Background: Research on the effects of music education on cognitive abilities has generated increasing interest across the scientific community. Nonetheless, longitudinal studies investigating the effects of structured music education on cognitive sub-functions are still rare. Prime candidates for investigating a relationship between academic achievement and music education appear to be executive functions such as planning, working memory, and inhibition. Methods: One hundred and forty-seven primary school children, M age = 6.4 years, SD = 0.65 were followed for 2.5 years. Participants were randomized into four groups: two music intervention groups, one active visual arts group, and a no arts control group. Neuropsychological tests assessed verbal intelligence and executive functions. Additionally, a national pupil monitor provided data on academic performance. Results: Children in the visual arts group perform better on visuospatial memory tasks as compared to the three other conditions. However, the test scores on inhibition, planning and verbal intelligence increased significantly in the two music groups over time as compared to the visual art and no arts controls. Mediation analysis with executive functions and verbal IQ as mediator for academic performance have shown a possible far transfer effect from executive sub-function to academic performance scores. Discussion: The present results indicate a positive influence of long-term music education on cognitive abilities such as inhibition and planning. Of note, following a two-and-a-half year long visual arts program significantly improves scores on a visuospatial memory task. All results combined, this study supports a far transfer effect from music education to academic achievement mediated by executive sub-functions.

  14. Functional analysis-based interventions for challenging behaviour in dementia.

    Science.gov (United States)

    Moniz Cook, Esme D; Swift, Katie; James, Ian; Malouf, Reem; De Vugt, Marjolein; Verhey, Frans

    2012-02-15

    Functional analysis (FA) for the management of challenging behaviour is a promising behavioural intervention that involves exploring the meaning or purpose of an individual's behaviour. It extends the 'ABC' approach of behavioural analysis, to overcome the restriction of having to derive a single explanatory hypothesis for the person's behaviour. It is seen as a first line alternative to traditional pharmacological management for agitation and aggression. FA typically requires the therapist to develop and evaluate hypotheses-driven strategies that aid family and staff caregivers to reduce or resolve a person's distress and its associated behavioural manifestations. To assess the effects of functional analysis-based interventions for people with dementia (and their caregivers) living in their own home or in other settings. We searched ALOIS: the Cochrane Dementia and Cognitive Improvement Group's Specialized Register on 3 March 2011 using the terms: FA, behaviour (intervention, management, modification), BPSD, psychosocial and Dementia. Randomised controlled trials (RCTs) with reported behavioural outcomes that could be associated with functional analysis for the management of challenging behaviour in dementia. Four reviewers selected trials for inclusion. Two reviewers worked independently to extract data and assess trial quality, including bias. Meta-analyses for reported incidence, frequency, severity of care recipient challenging behaviour and mood (primary outcomes) and caregiver reaction, burden and mood were performed. Details of adverse effects were noted. Eighteen trials are included in the review. The majority were in family care settings. For fourteen studies, FA was just one aspect of a broad multi-component programme of care. Assessing the effect of FA was compromised by ill-defined protocols for the duration of component parts of these programmes (i.e. frequency of the intervention or actual time spent). Therefore, establishing the real effect of the

  15. Comparative thermal buckling analysis of functionally graded plate

    Directory of Open Access Journals (Sweden)

    Čukanović Dragan V.

    2017-01-01

    Full Text Available A thermal buckling analysis of functionally graded thick rectangular plates accord¬ing to von Karman non-linear theory is presented. The material properties of the functionally graded plate, except for the Poisson’s ratio, were assumed to be graded in the thickness direction, according to a power-law distribution, in terms of the volume fractions of the metal and ceramic constituents. Formulations of equilibrium and stability equations are derived using the high order shear deformation theory based on different types of shape functions. Analytical method for determination of the critical buckling temperature for uniform increase of temperature, linear and non-linear change of temperature across thickness of a plate is developed. Numeri¬cal results were obtained in МATLAB software using combinations of symbolic and numeric values. The paper presents comparative results of critical buckling tempera¬ture for different types of shape functions. The accuracy of the formulation presented is verified by comparing to results available from the literature.

  16. The identification of functional motifs in temporal gene expression analysis

    Directory of Open Access Journals (Sweden)

    Michael G. Surette

    2005-01-01

    Full Text Available The identification of transcription factor binding sites is essential to the understanding of the regulation of gene expression and the reconstruction of genetic regulatory networks. The in silico identification of cis-regulatory motifs is challenging due to sequence variability and lack of sufficient data to generate consensus motifs that are of quantitative or even qualitative predictive value. To determine functional motifs in gene expression, we propose a strategy to adopt false discovery rate (FDR and estimate motif effects to evaluate combinatorial analysis of motif candidates and temporal gene expression data. The method decreases the number of predicted motifs, which can then be confirmed by genetic analysis. To assess the method we used simulated motif/expression data to evaluate parameters. We applied this approach to experimental data for a group of iron responsive genes in Salmonella typhimurium 14028S. The method identified known and potentially new ferric-uptake regulator (Fur binding sites. In addition, we identified uncharacterized functional motif candidates that correlated with specific patterns of expression. A SAS code for the simulation and analysis gene expression data is available from the first author upon request.

  17. Metabolomics and Cheminformatics Analysis of Antifungal Function of Plant Metabolites.

    Science.gov (United States)

    Cuperlovic-Culf, Miroslava; Rajagopalan, NandhaKishore; Tulpan, Dan; Loewen, Michele C

    2016-09-30

    Fusarium head blight (FHB), primarily caused by Fusarium graminearum , is a devastating disease of wheat. Partial resistance to FHB of several wheat cultivars includes specific metabolic responses to inoculation. Previously published studies have determined major metabolic changes induced by pathogens in resistant and susceptible plants. Functionality of the majority of these metabolites in resistance remains unknown. In this work we have made a compilation of all metabolites determined as selectively accumulated following FHB inoculation in resistant plants. Characteristics, as well as possible functions and targets of these metabolites, are investigated using cheminformatics approaches with focus on the likelihood of these metabolites acting as drug-like molecules against fungal pathogens. Results of computational analyses of binding properties of several representative metabolites to homology models of fungal proteins are presented. Theoretical analysis highlights the possibility for strong inhibitory activity of several metabolites against some major proteins in Fusarium graminearum , such as carbonic anhydrases and cytochrome P450s. Activity of several of these compounds has been experimentally confirmed in fungal growth inhibition assays. Analysis of anti-fungal properties of plant metabolites can lead to the development of more resistant wheat varieties while showing novel application of cheminformatics approaches in the analysis of plant/pathogen interactions.

  18. Global sensitivity analysis using a Gaussian Radial Basis Function metamodel

    International Nuclear Information System (INIS)

    Wu, Zeping; Wang, Donghui; Okolo N, Patrick; Hu, Fan; Zhang, Weihua

    2016-01-01

    Sensitivity analysis plays an important role in exploring the actual impact of adjustable parameters on response variables. Amongst the wide range of documented studies on sensitivity measures and analysis, Sobol' indices have received greater portion of attention due to the fact that they can provide accurate information for most models. In this paper, a novel analytical expression to compute the Sobol' indices is derived by introducing a method which uses the Gaussian Radial Basis Function to build metamodels of computationally expensive computer codes. Performance of the proposed method is validated against various analytical functions and also a structural simulation scenario. Results demonstrate that the proposed method is an efficient approach, requiring a computational cost of one to two orders of magnitude less when compared to the traditional Quasi Monte Carlo-based evaluation of Sobol' indices. - Highlights: • RBF based sensitivity analysis method is proposed. • Sobol' decomposition of Gaussian RBF metamodel is obtained. • Sobol' indices of Gaussian RBF metamodel are derived based on the decomposition. • The efficiency of proposed method is validated by some numerical examples.

  19. Waste encapsulation and storage facility function analysis report

    International Nuclear Information System (INIS)

    Lund, D.P.

    1995-09-01

    The document contains the functions, function definitions, function interfaces, function interface definitions, Input Computer Automated Manufacturing Definition (IDEFO) diagrams, and a function hierarchy chart that describe what needs to be performed to deactivate Waste Encapsulation and Storage Facility (WESF)

  20. 300 Area fuel supply facilities deactivation function analysis report

    International Nuclear Information System (INIS)

    Lund, D.P.

    1995-09-01

    The document contains the functions, function definitions, function interfaces, function interface definitions, Input Computer Automated Manufacturing Definition (IDEFO) diagrams, and a function hierarchy chart that describe what needs to be performed to deactivate the 300 Area Fuel Supply Facilities

  1. Sensitivity functions for uncertainty analysis: Sensitivity and uncertainty analysis of reactor performance parameters

    International Nuclear Information System (INIS)

    Greenspan, E.

    1982-01-01

    This chapter presents the mathematical basis for sensitivity functions, discusses their physical meaning and information they contain, and clarifies a number of issues concerning their application, including the definition of group sensitivities, the selection of sensitivity functions to be included in the analysis, and limitations of sensitivity theory. Examines the theoretical foundation; criticality reset sensitivities; group sensitivities and uncertainties; selection of sensitivities included in the analysis; and other uses and limitations of sensitivity functions. Gives the theoretical formulation of sensitivity functions pertaining to ''as-built'' designs for performance parameters of the form of ratios of linear flux functionals (such as reaction-rate ratios), linear adjoint functionals, bilinear functions (such as reactivity worth ratios), and for reactor reactivity. Offers a consistent procedure for reducing energy-dependent or fine-group sensitivities and uncertainties to broad group sensitivities and uncertainties. Provides illustrations of sensitivity functions as well as references to available compilations of such functions and of total sensitivities. Indicates limitations of sensitivity theory originating from the fact that this theory is based on a first-order perturbation theory

  2. Phylogenetic comparative methods complement discriminant function analysis in ecomorphology.

    Science.gov (United States)

    Barr, W Andrew; Scott, Robert S

    2014-04-01

    In ecomorphology, Discriminant Function Analysis (DFA) has been used as evidence for the presence of functional links between morphometric variables and ecological categories. Here we conduct simulations of characters containing phylogenetic signal to explore the performance of DFA under a variety of conditions. Characters were simulated using a phylogeny of extant antelope species from known habitats. Characters were modeled with no biomechanical relationship to the habitat category; the only sources of variation were body mass, phylogenetic signal, or random "noise." DFA on the discriminability of habitat categories was performed using subsets of the simulated characters, and Phylogenetic Generalized Least Squares (PGLS) was performed for each character. Analyses were repeated with randomized habitat assignments. When simulated characters lacked phylogenetic signal and/or habitat assignments were random, ecomorphology. Copyright © 2013 Wiley Periodicals, Inc.

  3. Analysis of viscoplastic plates with material degradation using influence functions

    International Nuclear Information System (INIS)

    Fotiu, P.; Irschik, H.

    1987-01-01

    Influence functions are well-known from the computational analysis of linear elastic plates. For inelastic plates, unfortunately, this convenient Green's function method does not apply in its classical sense, because superposition of imposed loadings is not possible. However, following a complete elastic-inelastic analogy for small deflections of beams and plates, the inelastic part of strain may be treated as an additional source of self-stress in the linear elastic structure with fixed (initial) stiffness. Hence, the inelastic plate is analogous to the linear elastic one, but subjected to the imposed loadings as well as to fictitious additional sources of self-stress, likewise to a given thermal loading. (orig./GL)

  4. GeoChips for Analysis of Microbial Functional Communities

    Energy Technology Data Exchange (ETDEWEB)

    Van Nostrand, Joy D.; Wu, Liyou; He, Zhili; Zhou, Jizhong

    2008-09-30

    Functional gene arrays (FGA) are microarrays that contain probes for genes encoding proteins or enzymes involved in functions of interest and allow for the study of thousands of genes at one time. The most comprehensive FGA to date is the GeoChip, which contains ~;;24,000 probes for ~;;10,000 genes involved in the geochemical cycling of C, N, P, and S, as well as genes involved in metal resistance and reduction and contaminant degradation. This chapter details the methods necessary for GeoChip analysis. Methods covered include preparation of DNA (whole community genome amplification and labeling), array setup (prehybridization steps), hybridization (sample and hybridization buffers), and post hybridization steps (slide washing and array scanning).

  5. Application of generalized function to dynamic analysis of thick plates

    International Nuclear Information System (INIS)

    Zheng, D.; Weng, Z.

    1987-01-01

    The structures with thick plates have been used extensively in national defence, mechanical engineering, chemical engineering, nuclear engineering, civil engineering, etc.. Various theories have been established to deal with the problems of elastic plates, which include the classical theory of thin plates, the improved theory of thick plates, three-dimensional elastical theory. In this paper, the derivative of δ-function is handled by using the generalized function. The dynamic analysis of thick plates subjected the concentrated load is presented. The improved Donnell's equation of thick plates is deduced and employed as the basic equation. The generalized coordinates are solved by using the method of MWR. The general expressions for the dynamic response of elastic thick plates subjected the concentrated load are given. The numerical results for rectangular plates are given herein. The results are compared with those obtained from the improved theory and the classical theory of plates. (orig./GL)

  6. Uncertainty Analysis via Failure Domain Characterization: Unrestricted Requirement Functions

    Science.gov (United States)

    Crespo, Luis G.; Kenny, Sean P.; Giesy, Daniel P.

    2011-01-01

    This paper proposes an uncertainty analysis framework based on the characterization of the uncertain parameter space. This characterization enables the identification of worst-case uncertainty combinations and the approximation of the failure and safe domains with a high level of accuracy. Because these approximations are comprised of subsets of readily computable probability, they enable the calculation of arbitrarily tight upper and lower bounds to the failure probability. The methods developed herein, which are based on nonlinear constrained optimization, are applicable to requirement functions whose functional dependency on the uncertainty is arbitrary and whose explicit form may even be unknown. Some of the most prominent features of the methodology are the substantial desensitization of the calculations from the assumed uncertainty model (i.e., the probability distribution describing the uncertainty) as well as the accommodation for changes in such a model with a practically insignificant amount of computational effort.

  7. Semigroups of analytic functions in analysis and applications

    International Nuclear Information System (INIS)

    Goryainov, Victor V

    2012-01-01

    This survey considers problems of analysis and certain related areas in which semigroups of analytic functions with respect to the operation of composition appear naturally. The main attention is devoted to holomorphic maps of a disk (or a half-plane) into itself. The role of fixed points is highlighted, both in the description of the structure of semigroups and in applications. Interconnections of the problem of fractional iteration with certain problems in the theory of random branching processes are pointed out, as well as with certain questions of non-commutative probability. The role of the infinitesimal description of semigroups of conformal maps in the development of the parametric method in the theory of univalent functions is shown. Bibliography: 94 titles.

  8. Uncertainty Analysis via Failure Domain Characterization: Polynomial Requirement Functions

    Science.gov (United States)

    Crespo, Luis G.; Munoz, Cesar A.; Narkawicz, Anthony J.; Kenny, Sean P.; Giesy, Daniel P.

    2011-01-01

    This paper proposes an uncertainty analysis framework based on the characterization of the uncertain parameter space. This characterization enables the identification of worst-case uncertainty combinations and the approximation of the failure and safe domains with a high level of accuracy. Because these approximations are comprised of subsets of readily computable probability, they enable the calculation of arbitrarily tight upper and lower bounds to the failure probability. A Bernstein expansion approach is used to size hyper-rectangular subsets while a sum of squares programming approach is used to size quasi-ellipsoidal subsets. These methods are applicable to requirement functions whose functional dependency on the uncertainty is a known polynomial. Some of the most prominent features of the methodology are the substantial desensitization of the calculations from the uncertainty model assumed (i.e., the probability distribution describing the uncertainty) as well as the accommodation for changes in such a model with a practically insignificant amount of computational effort.

  9. Advanced functional network analysis in the geosciences: The pyunicorn package

    Science.gov (United States)

    Donges, Jonathan F.; Heitzig, Jobst; Runge, Jakob; Schultz, Hanna C. H.; Wiedermann, Marc; Zech, Alraune; Feldhoff, Jan; Rheinwalt, Aljoscha; Kutza, Hannes; Radebach, Alexander; Marwan, Norbert; Kurths, Jürgen

    2013-04-01

    Functional networks are a powerful tool for analyzing large geoscientific datasets such as global fields of climate time series originating from observations or model simulations. pyunicorn (pythonic unified complex network and recurrence analysis toolbox) is an open-source, fully object-oriented and easily parallelizable package written in the language Python. It allows for constructing functional networks (aka climate networks) representing the structure of statistical interrelationships in large datasets and, subsequently, investigating this structure using advanced methods of complex network theory such as measures for networks of interacting networks, node-weighted statistics or network surrogates. Additionally, pyunicorn allows to study the complex dynamics of geoscientific systems as recorded by time series by means of recurrence networks and visibility graphs. The range of possible applications of the package is outlined drawing on several examples from climatology.

  10. DNA mimic proteins: functions, structures, and bioinformatic analysis.

    Science.gov (United States)

    Wang, Hao-Ching; Ho, Chun-Han; Hsu, Kai-Cheng; Yang, Jinn-Moon; Wang, Andrew H-J

    2014-05-13

    DNA mimic proteins have DNA-like negative surface charge distributions, and they function by occupying the DNA binding sites of DNA binding proteins to prevent these sites from being accessed by DNA. DNA mimic proteins control the activities of a variety of DNA binding proteins and are involved in a wide range of cellular mechanisms such as chromatin assembly, DNA repair, transcription regulation, and gene recombination. However, the sequences and structures of DNA mimic proteins are diverse, making them difficult to predict by bioinformatic search. To date, only a few DNA mimic proteins have been reported. These DNA mimics were not found by searching for functional motifs in their sequences but were revealed only by structural analysis of their charge distribution. This review highlights the biological roles and structures of 16 reported DNA mimic proteins. We also discuss approaches that might be used to discover new DNA mimic proteins.

  11. Two-dimensional finite element neutron diffusion analysis using hierarchic shape functions

    International Nuclear Information System (INIS)

    Carpenter, D.C.

    1997-01-01

    Recent advances have been made in the use of p-type finite element method (FEM) for structural and fluid dynamics problems that hold promise for reactor physics problems. These advances include using hierarchic shape functions, element-by-element iterative solvers and more powerful mapping techniques. Use of the hierarchic shape functions allows greater flexibility and efficiency in implementing energy-dependent flux expansions and incorporating localized refinement of the solution space. The irregular matrices generated by the p-type FEM can be solved efficiently using element-by-element conjugate gradient iterative solvers. These solvers do not require storage of either the global or local stiffness matrices and can be highly vectorized. Mapping techniques based on blending function interpolation allow exact representation of curved boundaries using coarse element grids. These features were implemented in a developmental two-dimensional neutron diffusion program based on the use of hierarchic shape functions (FEM2DH). Several aspects in the effective use of p-type analysis were explored. Two choices of elemental preconditioning were examined--the proper selection of the polynomial shape functions and the proper number of functions to use. Of the five shape function polynomials tested, the integral Legendre functions were the most effective. The serendipity set of functions is preferable over the full tensor product set. Two global preconditioners were also examined--simple diagonal and incomplete Cholesky. The full effectiveness of the finite element methodology was demonstrated on a two-region, two-group cylindrical problem but solved in the x-y coordinate space, using a non-structured element grid. The exact, analytic eigenvalue solution was achieved with FEM2DH using various combinations of element grids and flux expansions

  12. Influence of Type of Frequency Weighting Function On VDV Analysis

    Science.gov (United States)

    Kowalska-Koczwara, Alicja; Stypuła, Krzysztof

    2017-10-01

    Transport vibrations are the subject of many research, mostly their influence on structural elements of the building is investigated. However, nowadays, especially in the centres of large cities were apartments, residential buildings are closer to the transport vibration sources, an increasing attention is given to providing vibrational comfort to humans in buildings. Currently, in most countries, two main methods of evaluation are used: root mean squared method (RMS) and vibration dose value (VDV). In this article, VDV method is presented and the analysis of the weighting functions selection on value of VDV is made. Measurements required for the analysis were made in Krakow, on masonry, residential, two storey building located in the city centre. The building is subjected into two transport vibration sources: tram passages and vehicle passages on very close located road. Measurement points were located on the basement wall at ground level to control the excitation and in the middle of the floor on the highest storey (in the place where people percept vibration). The room chosen for measurements is located closest to the transport excitation sources. During the measurements, 25 vibration events were recorded and analysed. VDV values were calculated for three different weighting functions according to standard: ISO 2631-1, ISO 2631-2 and BS-6841. Differences in VDV values are shown, but also influence of the weighting function selection on result of evaluation is also presented. VDV analysis was performed not only for the individual vibration event but also all day and night vibration exposure were calculated using formulas contained in the annex to the standard BS-6841. It is demonstrated that, although there are differences in the values of VDV, an influence on all day and night exposure is no longer so significant.

  13. On uniform resampling and gaze analysis of bidirectional texture functions

    Czech Academy of Sciences Publication Activity Database

    Filip, Jiří; Chantler, M.J.; Haindl, Michal

    2009-01-01

    Roč. 6, č. 3 (2009), s. 1-15 ISSN 1544-3558 R&D Projects: GA MŠk 1M0572; GA ČR GA102/08/0593 Grant - others:EC Marie Curie(BE) 41358 Institutional research plan: CEZ:AV0Z10750506 Keywords : BTF * texture * eye tracking Subject RIV: BD - Theory of Information Impact factor: 1.447, year: 2009 http://library.utia.cas.cz/separaty/2009/RO/haindl-on uniform resampling and gaze analysis of bidirectional texture functions.pdf

  14. Functional analysis and quantum mechanics: an introduction for physicists

    International Nuclear Information System (INIS)

    Ranade, Kedar S.

    2015-01-01

    We give an introduction to certain topics from functional analysis which are relevant for physics in general and in particular for quantum mechanics. Starting from some examples, we discuss the theory of Hilbert spaces, spectral theory of unbounded operators, distributions and their applications and present some facts from operator algebras. We do not give proofs, but present examples and analogies from physics which should be useful to get a feeling for the topics considered. (copyright 2015 WILEY-VCH Verlag GmbH and Co. KGaA, Weinheim)

  15. Functional analysis and quantum mechanics: an introduction for physicists

    Energy Technology Data Exchange (ETDEWEB)

    Ranade, Kedar S. [Ulm Univ. (Germany). Inst. fuer Quantenphysik and Center for Integrated Quantum Science and Technology (IQST)

    2015-09-15

    We give an introduction to certain topics from functional analysis which are relevant for physics in general and in particular for quantum mechanics. Starting from some examples, we discuss the theory of Hilbert spaces, spectral theory of unbounded operators, distributions and their applications and present some facts from operator algebras. We do not give proofs, but present examples and analogies from physics which should be useful to get a feeling for the topics considered. (copyright 2015 WILEY-VCH Verlag GmbH and Co. KGaA, Weinheim)

  16. Cultural Transition and Academic Achievement of Students from Ethnic Minority Backgrounds: A Content Analysis of Empirical Research on Acculturation

    Science.gov (United States)

    Makarova, Elena; Birman, Dina

    2015-01-01

    Background: The achievement gap between immigrant and non-immigrant students that has been identified in most OECD countries and the considerable educational dropout rate among students from ethnic minority backgrounds in some countries have become serious challenges for national educational systems. The educational underachievement of young…

  17. A Comparative Analysis of Single-Sex Schools in Terms of Achievement in Reading and Math and Student Attendance

    Science.gov (United States)

    Brathwaite, Debra Ann

    2010-01-01

    Single-sex education is a reform initiative that is taking root in the United States and in many countries around the world as a possible solution to closing the racial, achievement, and gender gaps that have emerged where minority students lag behind their White counterparts and boys are falling behind girls academically. Although there have been…

  18. Neighborhoods, Schools, and Academic Achievement: A Formal Mediation Analysis of Contextual Effects on Reading and Mathematics Abilities.

    Science.gov (United States)

    Wodtke, Geoffrey T; Parbst, Matthew

    2017-10-01

    Although evidence indicates that neighborhoods affect educational outcomes, relatively little research has explored the mechanisms thought to mediate these effects. This study investigates whether school poverty mediates the effect of neighborhood context on academic achievement. Specifically, it uses longitudinal data from the Panel Study of Income Dynamics, counterfactual methods, and a value-added modeling strategy to estimate the total, natural direct, and natural indirect effects of exposure to an advantaged rather than disadvantaged neighborhood on reading and mathematics abilities during childhood and adolescence. Contrary to expectations, results indicate that school poverty is not a significant mediator of neighborhood effects during either developmental period. Although moving from a disadvantaged neighborhood to an advantaged neighborhood is estimated to substantially reduce subsequent exposure to school poverty and improve academic achievement, school poverty does not play an important mediating role because even the large differences in school composition linked to differences in neighborhood context appear to have no appreciable effect on achievement. An extensive battery of sensitivity analyses indicates that these results are highly robust to unobserved confounding, alternative model specifications, alternative measures of school context, and measurement error, which suggests that neighborhood effects on academic achievement are largely due to mediating factors unrelated to school poverty.

  19. Social Capital in Schools: A Conceptual and Empirical Analysis of the Equity of Its Distribution and Relation to Academic Achievement

    Science.gov (United States)

    Salloum, Serena J.; Goddard, Roger D.; Larsen, Ross

    2017-01-01

    Background: Schools face pressure to promote equitable student outcomes as the achievement gap continues to persist. The authors examine different ways in which social capital has been conceptualized as well as prior theory and research on its formation and consequences. While some theoretical and empirical work conceptualizes social capital as a…

  20. Prospective analysis of LDL-C goal achievement and self-reported medication adherence among statin users in primary care.

    LENUS (Irish Health Repository)

    Bermingham, Margaret

    2011-09-01

    Improvements in the control of LDL-C levels have occurred in the past decade due to the introduction of increasingly potent statins, such as atorvastatin and rosuvastatin. Many patients, however, do not achieve their LDL-C goals, which presents a practical dilemma for clinicians and highlights the need to identify adherence problems in a clinically relevant manner.