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Sample records for achieves functional analysis

  1. Addendum: Factor Analysis of Explanatory Variables in an Achievement Production Function

    Phelps, James L.

    2011-01-01

    Combining explanatory variables into factors instead of using individual variables in an achievement production function is advocated in several of the articles in this special issue. This article provides a brief overview of factor analysis explaining and illustrating the reasoning for this technique. There is a linchpin: Factor analysis is an…

  2. Arithmetical Difficulties and Low Arithmetic Achievement: Analysis of the Underlying Cognitive Functioning.

    Iglesias-Sarmiento, Valentín; Deaño, Manuel

    2016-01-01

    This study analyzed the cognitive functioning underlying arithmetical difficulties and explored the predictors of arithmetic achievement in the last three grades of Spanish Primary Education. For this purpose, a group of 165 students was selected and divided into three groups of arithmetic competence: Mathematical Learning Disability group (MLD, n = 27), Low Achieving group (LA, n = 39), and Typical Achieving group (TA, n = 99). Students were assessed in domain-general abilities (working memory and PASS cognitive processes), and numerical competence (counting and number processing) during the last two months of the academic year. Performance of children from the MLD group was significantly poorer than that of the LA group in writing dictated Arabic numbers (d = -0.88), reading written verbal numbers (d = -0.84), transcoding written verbal numbers to Arabic numbers (-0.75) and comprehension of place value (d = -0.69), as well as in simultaneous (d = -0.62) and successive (d = -0.59) coding. In addition, a specific developmental sequence was observed in both groups, the implications of which are discussed. Hierarchical regression analysis revealed simultaneous coding (β = .47, t(155) = 6.18, p processing (β = .23, t(155) = 3.07, p < .01) as specific predictors of arithmetical performance. PMID:27320030

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

    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. Positive Functions of Emotions in Achievement Sports

    Puig, Nuria; Vilanova, Anna

    2011-01-01

    This article presents the results of two research projects on the emotions of men engaged in achievement outdoor sports. The conditions were analyzed under which emotions carry out positive functions. The question strikes us as a fundamental one, because it is of crucial importance when it comes to increasing sportspeople's success. The…

  5. Functional analysis

    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

  6. Academic achievement in high functioning autistic individuals.

    Minshew, N J; Goldstein, G; Taylor, H G; Siegel, D J

    1994-04-01

    Academic achievement levels in 54 high functioning (IQ > 70) autistic subjects were compared with those of 41 normal controls, who did not differ significantly in age, IQ, gender, race, or SES from the autistic subjects. The measures of academic achievement used included portions of the Detroit Tests of Learning Aptitude-2, the Woodcock Reading Mastery Test, and the Kaufman Test of Educational Achievement. Based on prior neuropsychological findings, it was hypothesized that autistic subjects would not differ from controls on subtests assessing mechanical and procedural skills, but would differ on subtests measuring comprehension and interpretive skills. As predicted, the autistic subjects performed significantly less well than controls on comprehension tasks, but not on mechanical reading, spelling, and computational tasks. This pattern is at variance with the typical academic profile of individuals with disabilities in reading or spelling, but shares some features with the nonverbal learning disabilities. PMID:8021313

  7. Is preschool executive function causally related to academic achievement?

    Willoughby, Michael T; Kupersmidt, Janis B; Voegler-Lee, Mary E

    2012-01-01

    The primary objective of this study was to reevaluate the well-established result that preschoolers' performance on executive function tasks are positively associated with their performance on academic achievement tests. The current study replicated the previously established concurrent associations between children's performance on EF tasks and academic achievement tests. Specifically, children's performance on measures of inhibitory and motor control were positively associated with their performance on tests of reading, writing, and mathematics achievement (rs = .2-.5); moreover, although diminished in magnitude, most of these associations held up even after including an earlier measure of academic achievement as a covariate (rs = .1-.3). However, the application of an alternative analytic method, fixed effects analysis, a method that capitalizes on repeated measures data to control for all time stable measured and unmeasured covariates, rendered the apparent positive associations between executive function and academic achievement nonsignificant (rs = .0-.1). Taken together, these results suggest that the well-replicated association between executive function abilities and academic achievement may be spurious. Results are discussed with respect to the importance of utilizing analytic methods and research designs that facilitate strong causal inferences between executive function and academic achievement in early childhood, as well as the limitations of making curriculum development recommendations and/or public policy decisions based on studies that have failed to do so. PMID:21707258

  8. Is Preschool Executive Function Causally Related to Academic Achievement?

    Willoughby, Michael T.; Kupersmidt, Janis; Voegler-Lee, Mary

    2011-01-01

    The primary objective of this study was to re-evaluate the well-established result that preschoolers’ performance on executive function tasks are positively associated with their performance on academic achievement tests. The current study replicated the previously established concurrent associations between children’s performance on EF tasks and academic achievement tests. Specifically, children’s performance on measures of inhibitory and motor control were positively associated with their p...

  9. Brain Wave Analysis and School Achievement.

    Wilson, Barry; And Others

    The Brain Wave Analyzer (BWA Ertl 02) was used to measure the brain potentials of 110 public school children. Resulting scores were correlated with concurrent measures of school achievement. Results indicate that certain brain wave scores have relatively low correlations with school achievement compared to traditional intelligence measures but may…

  10. Associations between Psychosocial Functioning and Academic Achievement: The Peruvian Case

    Manrique Millones, Denisse; Van Leeuwen, Karla; Ghesquière, Pol

    2013-01-01

    The present study investigated (a) how specific aspects of psycho-social functioning (behavioral problems and global self-worth) are associated with academic achievement in spelling, arithmetic and reading; and (b) what is the effect of type of school (private vs. public) on this association. The sample for this study consisted of 901 regular school children attending 6th grade of primary education and living in the urban zones of Metropolitan Lima, Peru. Our research hypotheses were partiall...

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

    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…

  12. Functional Object Analysis

    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...

  13. Challenges and achievements in the therapeutic modulation of aquaporin functionality.

    Beitz, Eric; Golldack, André; Rothert, Monja; von Bülow, Julia

    2015-11-01

    Aquaporin (AQP) water and solute channels have basic physiological functions throughout the human body. AQP-facilitated water permeability across cell membranes is required for rapid reabsorption of water from pre-urine in the kidneys and for sustained near isosmolar water fluxes e.g. in the brain, eyes, inner ear, and lungs. Cellular water permeability is further connected to cell motility. AQPs of the aquaglyceroporin subfamily are necessary for lipid degradation in adipocytes and glycerol uptake into the liver, as well as for skin moistening. Modulation of AQP function is desirable in several pathophysiological situations, such as nephrogenic diabetes insipidus, Sjögren's syndrome, Menière's disease, heart failure, or tumors to name a few. Attempts to design or to find effective small molecule AQP inhibitors have yielded only a few hits. Challenges reside in the high copy number of AQP proteins in the cell membranes, and spatial restrictions in the protein structure. This review gives an overview on selected physiological and pathophysiological conditions in which modulation of AQP functions appears beneficial and discusses first achievements in the search of drug-like AQP inhibitors. PMID:26277280

  14. Specific early number skills mediate the association between executive functioning skills and mathematics achievement.

    Fuhs, Mary Wagner; Hornburg, Caroline Byrd; McNeil, Nicole M

    2016-08-01

    A growing literature reports significant associations between children's executive functioning skills and their mathematics achievement. The purpose of this study was to examine if specific early number skills, such as quantity discrimination, number line estimation, number sets identification, fast counting, and number word comprehension, mediate this association. In 141 kindergarteners, cross-sectional analyses controlling for IQ revealed that number sets identification (but not the other early number skills) mediated the association between executive functioning skills and mathematics achievement. A longitudinal analysis showed that higher executive functioning skills predicted higher number sets identification in kindergarten, which in turn predicted growth in mathematics achievement from kindergarten to second grade. Results suggest that executive functioning skills may help children quickly and accurately identify number sets as wholes instead of getting distracted by the individual components of the sets, and this focus on sets, in turn, may help children learn more advanced mathematics concepts in the early elementary grades. (PsycINFO Database Record PMID:27337509

  15. Functional data analysis

    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...

  16. Discriminant and Criterion-Related Validity of Achievement Goals in Predicting Academic Achievement: A Meta-Analysis

    Huang, Chiungjung

    2012-01-01

    This study examined the discriminant and criterion-related validity of achievement goals in predicting academic achievement. Analysis of 151 studies yielded 172 independent samples (N = 52,986) with correlations among achievement goals and between achievement goals and academic achievement. The discriminant validity of achievement goals in the 2-,…

  17. Applied functional analysis

    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

  18. Applied functional analysis

    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

  19. Nonlinear functional analysis

    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...

  20. Achieving timing composability with measurement-based probabilistic timing analysis

    Kosmidis, Leonidas; Quiñones Moreno, Eduardo; Abella Ferrer, Jaume; Vardanega, Tulio; Cazorla Almeida, Francisco Javier

    2013-01-01

    Probabilistic Timing Analysis (PTA) allows complex hardware acceleration features, which defeat classic timing analysis, to be used in hard real-time systems. PTA can do that because it drastically reduces intrinsic dependence on execution history. This distinctive feature is a great facilitator to time composability, which is a must for industry needing incremental development and qualification. In this paper we show how time composability is achieved in PTA-conformant systems an...

  1. Sex Differences in Science Achievement: A Multilevel Analysis.

    Young, Deidra J.; Fraser, Barry J.

    The assertion that girls and boys in single-sex schools outperform their peers attending coeducational schools was investigated in this study with particular reference to physics achievement. The relationship between the school, the home and the student's performance in physics was also explored tentatively using multilevel analysis. The average…

  2. Achieving type I, II, and III heterojunctions using functionalized MXene.

    Lee, Youngbin; Hwang, Yubin; Chung, Yong-Chae

    2015-04-01

    In the present work, type I, II, and III heterostructures are constructed with the same base material using three representative functionalized monolayer scandium carbides (Sc2CF2, Sc2C(OH)2, and Sc2CO2) by first-principles calculations based on density functional theory. In contrast to general bilayer heterosystems composed of two-dimensional semiconductors, type I and III heterojunctions are obtained in one Sc2CF2/Sc2CO2 system and the remains of the functionalized Sc2C heterostructures, respectively. It is noteworthy that the same monolayer Sc2CF2 and Sc2CO2 constituents lead to dissimilar heterostructure types in the two Sc2CF2/Sc2CO2 systems by modifying the stacking interface. In addition, in the two Sc2CF2/Sc2CO2 systems, remarkable changes in the heterojunction type are induced by a strain, and two distinct type-II heterostructures are generated where one layer with the conduction band minimum state and the other layer including the valence band maximum level are different. The present work suggests an attractive direction to obtain all heterostructure types with the same base material for novel nanodevices in various fields such as photonics, electronics, and optoelectronics using only the two monolayer components Sc2CF2 and Sc2CO2. PMID:25791222

  3. Achieving early functional auditory access in paediatric cochlear implantation.

    Orzan, E; Muzzi, E; Marchi, R; Falzone, C; Battelino, S; Ciciriello, E

    2016-02-01

    Cochlear implantation (CI) is a viable option for providing access to auditory stimulation in severe-to-profound hearing loss/impairment of cochlear origin. It has been demonstrated that CI is safe and effective for deaf children. Younger age at activation after CI is linked with better outcomes. It is important to study variables and issues that can interfere with an early fitting and access to sound after CI. They range from patient characteristics, family compliance and support, to technical, medical or organisational problems. A SWOT analysis and a subsequent TOWS matrix was conducted to discuss issues and propose recommendations to be considered when operating an early switch on of the CI. PMID:27054390

  4. A Mediation Analysis of Achievement Motives, Goals, Learning Strategies, and Academic Achievement

    Diseth, Age; Kobbeltvedt, Therese

    2010-01-01

    Background: 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. Aims: To investigate the relationship between achievement motives,…

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

    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.

  6. Function Point Analysis Depot

    Muniz, R.; Martinez, El; Szafran, J.; Dalton, A.

    2011-01-01

    The Function Point Analysis (FPA) Depot is a web application originally designed by one of the NE-C3 branch's engineers, Jamie Szafran, and created specifically for the Software Development team of the Launch Control Systems (LCS) project. The application consists of evaluating the work of each developer to be able to get a real estimate of the hours that is going to be assigned to a specific task of development. The Architect Team had made design change requests for the depot to change the schema of the application's information; that information, changed in the database, needed to be changed in the graphical user interface (GUI) (written in Ruby on Rails (RoR and the web service/server side in Java to match the database changes. These changes were made by two interns from NE-C, Ricardo Muniz from NE-C3, who made all the schema changes for the GUI in RoR and Edwin Martinez, from NE-C2, who made all the changes in the Java side.

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

    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...

  8. Maternal employment and children's achievement in context: a meta-analysis of four decades of research.

    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 employment was compared with nonemployment for combined and separate achievement outcomes without moderators, effects were nonsignificant. Small beneficial effects of part-time compared with full-time employment were apparent for all achievement outcomes combined and for each individual achievement outcome. Significant sample-level moderators of the associations between maternal employment and achievement for all outcomes combined included family structure, race/ethnicity, and socioeconomic status; associations were positive when samples were majority 1-parent families and mixed 1- and 2-parent families, racially/ethnically diverse or international in composition, and not middle-upper class. Analyses of child gender indicated more positive effects for girls. Children's age was a significant moderator for the outcome of intellectual functioning. The identification of sample-level moderators of the relationship between maternal employment and children's achievement highlights the importance of social context in understanding work-family linkages. PMID:18193996

  9. Strange functions in real analysis

    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...

  10. Theoretical numerical analysis a functional analysis framework

    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

  11. Psychometric Intelligence and Achievement: A Cross-Lagged Panel Analysis

    Watkins, Marley W.; Lei, Pui-Wa; Canivez, Gary L.

    2007-01-01

    There has been considerable debate regarding the causal precedence of intelligence and academic achievement. Some researchers view intelligence and achievement as identical constructs. Others believe that the relationship between intelligence and achievement is reciprocal. Still others assert that intelligence is causally related to achievement.…

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

    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

  13. Study of academic achievements using spatial analysis tools

    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

  14. Automatic Functional Harmonic Analysis

    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 W

  15. Automatic Functional Harmonic Analysis

    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 Western tonal harmony that builds on well-known theories of tonal harmony. In contrast to other approaches that remain purely theoretical, we present an implemented system that is evaluated empirica...

  16. Elementary functional analysis

    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.

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

    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 skill...

  18. Transform analysis of generalized functions

    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

  19. Functional Equations and Fourier Analysis

    Yang, Dilian

    2010-01-01

    By exploring the relations among functional equations, harmonic analysis and representation theory, we give a unified and very accessible approach to solve three important functional equations -- the d'Alembert equation, the Wilson equation, and the d'Alembert long equation, on compact groups.

  20. Prekindergarten Children's Executive Functioning Skills and Achievement Gains: The Utility of Direct Assessments and Teacher Ratings

    Fuhs, Mary Wagner; Farran, Dale Clark; Nesbitt, Kimberly Turner

    2015-01-01

    An accumulating body of evidence suggests that young children who exhibit greater executive functioning (EF) skills in early childhood also achieve more academically. The goal of the present study was to examine the unique contributions of direct assessments and teacher ratings of children's EF skills at the beginning of prekindergarten (pre-k) to…

  1. The Role of the Executive Functions in School Achievement at the End of Grade 1

    Monette, Sebastien; Bigras, Marc; Guay, Marie-Claude

    2011-01-01

    The aim of this study was to determine the role of executive functions (EFs) in early school achievement when a variety of potential confounding factors were controlled. Measures of EF (inhibition, flexibility, and working memory) and school readiness were administered to a sample of 85 kindergartners (39 boys and 46 girls, 5-6 years old). School…

  2. Novel Vaccine Approach AchievesFunctional Cure” of AIDS Virus in Monkeys | Poster

    By Frank Blanchard, Staff Writer, and Jeff Lifson, Guest Writer Scientists at the Oregon Health & Science University and the AIDS and Cancer Virus Program of the Frederick National Laboratory for Cancer Research have used a novel vaccine approach to achieve a “functional cure” and apparent eradication of infection with a monkey version of the AIDS virus.

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

    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…

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

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

    2014-01-01

    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

  5. The Influence of Psychophysiological Variables on Aged Subjects' Functional Reading Achievement.

    Lovelace, Terry

    A study investigated the effects of selected psychophysiological factors known to affect cognitive functioning on the reading achievement of older adults. The subjects, 34 noninstitutionalized adults ranging in age from 50 to 88 years, completed measures of (1) self-reported mental and physical health, (2) nonverbal intelligence, (3) reading…

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

    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

  7. Adult Education Participation and Occupational Achievement: A Regression Analysis.

    Cookson, Peter S.

    1978-01-01

    A study examined the effects of adult education participation together with educational attainment and work experience on three variables: (1) individual modernity, (2) adoption of modern business practices, and (3) occupational achievement. Survey of 60 Mexican-American shopkeepers indicated participation contributed directly to the first two…

  8. Performance Achievement and Analysis of Teaching during Choral Rehearsals.

    Davis, Anita P.

    1998-01-01

    Evaluates teaching sequences in high-school choral rehearsals to provide insight into the relationship between ensemble achievement and performance preparation. Indicates that teacher pace improvement is unrelated to ensemble maturity, teacher verbalization may not relate to success, and teacher assistance and instructions decrease with student…

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

    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,…

  10. Parent Involvement and Science Achievement: A Latent Growth Curve Analysis

    Johnson, Ursula Yvette

    2011-01-01

    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…

  11. Cardiac functional analysis with MRI

    Cardiovascular diseases (CVD) are among the leading causes of death worldwide. Even in the 21st century CVD will still be the most frequent cause of morbidity and mortality. Precise evaluation of cardiac function is therefore mandatory for therapy planning and monitoring. In this article the contribution of MRI-based analysis of cardiac function will be addressed. Nowadays cine-MRI is considered as the standard of reference (SOR) in cardiac functional analysis. ECG-triggered steady-state free precession (SSFP) sequences are mainly used as they stand out due to short acquisition times and excellent contrast between the myocardium and the ventricular cavity. An indispensible requirement for cardiac functional analysis is an exact planning of the examination and based on that the coverage of the whole ventricle in short axial slices. By means of dedicated post-processing software, manual or semi-automatic segmentation of the endocardial and epicardial contours is necessary for functional analysis. In this way end-diastolic volume (EDV), end-systolic volume (ESV) and the ejection fraction (EF) are defined and regional wall motion abnormalities (RWMA) can be detected. (orig.)

  12. Contributions of Executive Function and Spatial Skills to Preschool Mathematics Achievement

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

    2014-01-01

    Early mathematics achievement is highly predictive of later mathematics performance. Here we investigate 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 socio-economic status (SES) levels were assessed at age three on a new assessment of spatial skill (Test of Spatial Assembly, TOSA) and a vocabulary measure (the PPVT-4). The same children w...

  13. Motor Coordination Correlates with Academic Achievement and Cognitive Function in Children

    Fernandes, Valter R.; Ribeiro, Michelle L. Scipião; Melo, Thais; de Tarso Maciel-Pinheiro, Paulo; Guimarães, Thiago T.; Araújo, Narahyana B.; Ribeiro, Sidarta; Andréa C Deslandes

    2016-01-01

    The relationship between exercise and cognition is an important topic of research that only recently began to unravel. Here, we set out to investigate the relation between motor skills, cognitive function, and school performance in 45 students from 8 to 14 years of age. We used a cross-sectional design to evaluate motor coordination (Touch Test Disc), agility (Shuttle Run Speed—running back and forth), school performance (Academic Achievement Test), the Stroop test, and six sub-tests of the W...

  14. Cognitive functioning and academic achievement in children and adolescents with chronic pain

    Ho, Hoe Yan Greenly

    2005-01-01

    The current study examined the profiles of cognitive functioning and academic achievement in school-aged children and adolescents with chronic pain. The standardized psychoeducational testing results of 57 patients (ages 8 to 18) seen at a major pediatric pain clinic between 1998 and 2004 were retrospectively reviewed. Pediatric pain patients scored higher in measures of general intelligence, verbal ability, nonverbal reasoning and processing speed than the general population. Verbal ability ...

  15. Functional data analysis in hydrology

    Chebana, F.; Dabo-Niang, S.; Ouarda, T.

    2013-12-01

    River flow records are essential for the prevention of flood risks and the effective planning and management of water resources among other engineering activities. The graphical representation of the temporal variation of flow over a period of time constitutes a hydrograph. The latter is usually characterized by its peak, volume and duration. These features are considered jointly in order to take into account their dependence structure within multivariate hydrological frequency analysis (HFA). However, all these multivariate HFA approaches are based on the analysis of a limited number of characteristics and do not make use of the full information provided by the hydrograph. This talk is to propose to introduce a new framework for HFA using the hydrographs as curves to be functional data. In the context, called functional data analysis (FDA), the whole hydrograph is considered as one infinite-dimensional observation. The FDA context in HFA has a number of advantages. A number of functional tools are introduced and adapted to flood HFA with a focus on exploratory analysis. A real-world flood analysis case-study is considered.

  16. Motor coordination correlates with academic achievement and cognitive function in children

    Valter Rocha Fernandes

    2016-03-01

    Full Text Available The relationship between exercise and cognition is an important topic of research that only recently began to unravel. Here we set out to investigate the relation between motor skills, cognitive function and school performance in 45 students from 8 to 14 years of age. We used a cross-sectional design to evaluate motor coordination (Touch Test Disc, agility (Shuttle Run Speed - running back and forth, school performance (Academic Achievement Test, the Stroop test and 6 sub-tests of the Wechsler Intelligence Scale for Children-IV (WISC-IV. We found that the Touch Test Disc was the best predictor of school performance (R²=0.20. Significant correlations were also observed between motor coordination and several indices of cognitive function, such as the total score of the Academic Achievement Test (Spearman’s rho=0.536; p<=0.001, as well as two WISC-IV sub-tests: block design (R= -0.438;p=0.003 and cancellation (rho= -0.471; p=0.001. All the other cognitive variables pointed in the same direction, and even correlated with agility, but did not reach statistical significance. Altogether, the data indicate that visual motor coordination and visual selective attention, but not agility, may influence academic achievement and cognitive function. The results highlight the importance of investigating the correlation between physical skills and different aspects of cognition.

  17. Motor Coordination Correlates with Academic Achievement and Cognitive Function in Children.

    Fernandes, Valter R; Ribeiro, Michelle L Scipião; Melo, Thais; de Tarso Maciel-Pinheiro, Paulo; Guimarães, Thiago T; Araújo, Narahyana B; Ribeiro, Sidarta; Deslandes, Andréa C

    2016-01-01

    The relationship between exercise and cognition is an important topic of research that only recently began to unravel. Here, we set out to investigate the relation between motor skills, cognitive function, and school performance in 45 students from 8 to 14 years of age. We used a cross-sectional design to evaluate motor coordination (Touch Test Disc), agility (Shuttle Run Speed-running back and forth), school performance (Academic Achievement Test), the Stroop test, and six sub-tests of the Wechsler Intelligence Scale for Children-IV (WISC-IV). We found, that the Touch Test Disc was the best predictor of school performance (R (2) = 0.20). Significant correlations were also observed between motor coordination and several indices of cognitive function, such as the total score of the Academic Achievement Test (AAT; Spearman's rho = 0.536; p ≤ 0.001), as well as two WISC-IV sub-tests: block design (R = -0.438; p = 0.003) and cancelation (rho = -0.471; p = 0.001). All the other cognitive variables pointed in the same direction, and even correlated with agility, but did not reach statistical significance. Altogether, the data indicate that visual motor coordination and visual selective attention, but not agility, may influence academic achievement and cognitive function. The results highlight the importance of investigating the correlation between physical skills and different aspects of cognition. PMID:27014130

  18. Motor Coordination Correlates with Academic Achievement and Cognitive Function in Children

    Fernandes, Valter R.; Ribeiro, Michelle L. Scipião; Melo, Thais; de Tarso Maciel-Pinheiro, Paulo; Guimarães, Thiago T.; Araújo, Narahyana B.; Ribeiro, Sidarta; Deslandes, Andréa C.

    2016-01-01

    The relationship between exercise and cognition is an important topic of research that only recently began to unravel. Here, we set out to investigate the relation between motor skills, cognitive function, and school performance in 45 students from 8 to 14 years of age. We used a cross-sectional design to evaluate motor coordination (Touch Test Disc), agility (Shuttle Run Speed—running back and forth), school performance (Academic Achievement Test), the Stroop test, and six sub-tests of the Wechsler Intelligence Scale for Children-IV (WISC-IV). We found, that the Touch Test Disc was the best predictor of school performance (R2 = 0.20). Significant correlations were also observed between motor coordination and several indices of cognitive function, such as the total score of the Academic Achievement Test (AAT; Spearman's rho = 0.536; p ≤ 0.001), as well as two WISC-IV sub-tests: block design (R = −0.438; p = 0.003) and cancelation (rho = −0.471; p = 0.001). All the other cognitive variables pointed in the same direction, and even correlated with agility, but did not reach statistical significance. Altogether, the data indicate that visual motor coordination and visual selective attention, but not agility, may influence academic achievement and cognitive function. The results highlight the importance of investigating the correlation between physical skills and different aspects of cognition. PMID:27014130

  19. Function analysis of unknown genes

    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 be...... characterising yeast 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...

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

    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

  1. EVENT PLANNING USING FUNCTION ANALYSIS

    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.

  2. AUDIT FUNCTION ROLE IN ACHIEVING AN EFFICIENT CORPORATE GOVERNANCE – CONCEPTUAL MODEL PROPOSAL

    Melinda Timea Fülöp

    2013-12-01

    Full Text Available Nowadays corporate governance plays an important role in decisions making processes, which represents a relatively new approach for both Romanian scientific studies and practice. As a consequence we consider the increased attention given to corporate governance to be crucial, especially addressing the role of the audit function and the importance of the corporate governance code. Audit function is of particular practical importance in corporate governance, therefore we decided meticulously to consider it, and especially to develop a conceptual framework for its role in support of an effective corporate governance. We consider that there are two levels and seven key elements utilized in order to achieve an effective corporate governance. In conclusion, audit function as a whole, with an active role in improving corporate governance, should perform correlated in terms of its components: internal audit, external audit and audit committees.

  3. Genetic analysis of glutamatergic function in Drosophila

    Neurotransmitters are essential for communication between neurons and hence are vital in the overall integrative functioning of the nervous system. Previous work on acetylcholine metabolism in the fruit fly, Drosophila melanogaster, has also raised the possibility that transmitter metabolism may play a prominent role in either the achievement or maintenance of the normal structure of the central nervous system in this species. Unfortunately, acetylcholine is rather poorly characterized as a neurotransmitter in Drosophila; consequently, we have begun an analysis of the role of glutamate (probably the best characterized transmitter in this organism) in the formation and/or maintenance of nervous system structure. We present here the results of a series of preliminary analyses. To suggest where glutamatergic function may be localized, an examination of the spatial distribution of high affinity [3H]-glutamate binding sites are presented. We present the results of an analysis of the spatial and temporal distribution of enzymatic activities thought to be important in the regulation of transmitter-glutamate pools (i.e., glutamate oxaloacetic transaminase, glutaminase, and glutamate dehydrogenase). To begin to examine whether mutations in any of these functions are capable of affecting glutamatergic activity, we present the results of an initial genetic analysis of one enzymatic function, glutamate oxaloacetic transaminase (GOT), chosen because of its differential distribution within the adult central nervous system and musculature

  4. Functional analysis theory and applications

    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

  5. Tolerancing analysis and functional requirement

    PETIT, JEAN-PHILIPPE; Samper, Serge

    2004-01-01

    The aim of this paper is to show through a simple assembly a method of tolerancing analysis (coherent with GPS) developed at LM\\'ecA and based on the model of clearance and deviation domains. Tolerancing is an important step in the product design because on it will depend the functionality of the mechanism its assemblibility but also its cost: manufacturing cost increases with the precision of tolerances values. In our model, each feature specification is translated into tolerance zone. This ...

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

    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. PMID:26218333

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

    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.

  8. Functional Analysis: Entering Hilbert Space

    Hansen, Vagn Lundsgaard

    In the second edition, I have expanded the material on normed vector spaces and their operators presented in Chapter 1 to include proofs of the Open Map-ping Theorem, the Closed Graph Theorem and the Hahn-Banach The orem. The material on operators between normed vector spaces is further expanded in...... operators between Hilbert spaces. Fredholm operators are of interest far beyond mathematical analysis, they also play a significant role in theoretical physics, differential geometry and topology with the famous Index Theorem proved by Michael Atiyah and Isadore Singer in 1963 as a highlight. With the...... addition of the new material on normed vector spaces and their operators, the book can hopefully serve as a general introduction to functional analysis viewed as a theory of infinite dimensional linear spaces and linear operators acting on them....

  9. HORIZONTAL ANALYSIS OF FUNCTIONAL BALANCE OF FIRMS

    Vintilescu Marian

    2011-12-01

    Full Text Available This paper presents a functional design aspects of the economic agent is an economic entity, which aims at producing goods and services, for which exercise economic functions of consumption, distribution, investment and divestiture and financing.Main indicators of functional balance are functional working capital or net working capital globally, need working capital for exploration and exploitation and outside the Treasury functional. Also, to achieve financial equilibrium phases are rendered functional.

  10. Functional Multiple-Set Canonical Correlation Analysis

    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…

  11. Gaussian process regression analysis for functional data

    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

  12. Occupational Functionality: A Concept Analysis.

    Combs, Bryan; Heaton, Karen

    2016-08-01

    Occupational health nursing has evolved since the late 19th century and, with the inclusion of advanced practice nursing, has become essential to the health and safety of workers. A key component of the knowledge required of advanced practice occupational health nurses is an understanding of what it means for workers to be fit for duty The definition or concept of being fit for duty varies depending on the point-of-view of the health care provider. Health care providers across all professions must have a consistent understanding of what it means to be fit for duty Literature shows that professions and specialties that often collaborate have varying ideas about what it means to be fit for duty These differences highlight the need for a consistent concept that can be used across professions, is holistic, and incorporates other concepts critical to all points of view. To better understand fit for duty, a concept analysis, using the Walker and Avant framework, focused on the concept of occupational functionality (OF). Occupational functionality is best defined as the qualities of being suited to serve an occupational purpose efficiently and effectively within the physical, occupational, environmental, and psychological demands of a unique work setting. This concept analysis offers an initial step in understanding fit for duty and gives health care providers a concept that can be used across disciplines. PMID:27462030

  13. Detailed Analysis of Function Divergence in a Large and Diverse Domain Superfamily: Towards a Refined Protocol of Function Classification

    Dessailly, Benoit H.; Redfern, Oliver C.; Cuff, Alison L.; Orengo, Christine A.

    2010-01-01

    Some superfamilies contain large numbers of protein domains with very different functions. The ability to refine the functional classification of domains within these superfamilies is necessary for better understanding the evolution of functions and to guide function prediction of new relatives. To achieve this, a suitable starting point is the detailed analysis of functional divisions and mechanisms of functional divergence in a single superfamily. Here we present such a detailed analysis in...

  14. Case analysis of complete remission of advanced hepatocellular carcinoma achieved with sorafenib

    Liu, Daizhong; Liu, Aixiang; Peng, Junping; Hu, Yong; Feng, Xielin

    2015-01-01

    Background To evaluate the feasibility and security of complete remission (CR) of advanced hepatocellular carcinoma (HCC) achieved with sorafenib treatment, and investigate the previously described predictive factors in CR. Methods The case of a patient who achieved CR of advanced HCC with sorafenib treatment was analyzed. The case analysis was performed by a literature review of relevant reports retrieved from the PubMed database. Results A 58-year-old male patient achieved CR of advanced HC...

  15. Accuracy of Teachers' Judgments of Students' Academic Achievement: A Meta-Analysis

    Sudkamp, Anna; Kaiser, Johanna; Moller, Jens

    2012-01-01

    This meta-analysis summarizes empirical results on the correspondence between teachers' judgments of students' academic achievement and students' actual academic achievement. The article further investigates theoretically and methodologically relevant moderators of the correlation between the two measures. Overall, 75 studies reporting…

  16. Revisiting the Task/Achievement Analysis of Teaching in Neo-Liberal Times

    Marshall, James D.

    2009-01-01

    In 1975 I published an article on Gilbert Ryle's task/achievement analysis of teaching (Marshall, 1975), arguing that teaching was in Ryle's sense of the distinction a task verb. Philosophers of education were appealing to a distinction between tasks and achievements in their discussions of teaching, but they were often also appealing to Ryle's…

  17. Functional 2D Procrustes Shape Analysis

    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 sh...

  18. The Determinants of School Achievement in Developing Countries: The Educational Production Function. International Bank for Reconstruction and Development Staff Working Paper No. 201.

    Alexander, Leigh; Simmons, John

    A number of studies are reviewed in an attempt to identify those schooling inputs that affect schooling outcomes, specifically cognitive achievement of students, in developing countries. Part 1 of the paper outlines the nature of the major tool of analysis, the educational production function (EPF), and the problems associated with its use as a…

  19. Discrepancies between Academic Achievement and Intellectual Ability in Higher-Functioning School-Aged Children with Autism Spectrum Disorder

    Estes, Annette; Rivera, Vanessa; Bryan, Matthew; Cali, Philip; Dawson, Geraldine

    2011-01-01

    Academic achievement patterns and their relationships with intellectual ability, social abilities, and problem behavior are described in a sample of 30 higher-functioning, 9-year-old children with autism spectrum disorder (ASD). Both social abilities and problem behavior have been found to be predictive of academic achievement in typically…

  20. Effect of Aerobic Exercise on Cognition, Academic Achievement, and Psychosocial Function in Children: A Systematic Review of Randomized Control Trials

    Lees, Caitlin; Hopkins, Jessica

    2013-01-01

    Introduction Although the effects of aerobic physical activity (APA) on children’s physical health is well characterized, the effect of aerobic physical activity on cognition, academic achievement, and psychosocial function has not yet been established. This systematic review provides an overview of research elucidating the relationship between aerobic physical activity and children’s cognition, academic achievement, and psychosocial function. Methods A systematic review of English articles w...

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

    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…

  2. Three functional aspects of working memory as strong predictors of early school achievements: The review and illustrative evidence

    Sedek Grzegorz

    2016-04-01

    Full Text Available The paper presents an overview of research on working memory as a predictor of early school achievements. We contrast two main areas of research on the role of working memory in school achievements: the first concerns the structural model of working memory and the second focuses on executive functions. Then, we discuss the facet model of working memory as a promising approach merging the two research branches on working memory tasks as predictors of early school achievements. At the end we present exemplary results of the research conducted on a national sample of six- and seven-year-olds in Poland, which indicates strong relation of working memory functions with the measures of competences in mathematics, reading, and writing. Additionally, the mediation analyses, with parents’ education as a covariate, indicate that the influence of age on achievements in math, reading, and writing in six- and seven-year olds is mediated by working memory functions.

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

    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…

  4. The Effectiveness of Multiple Intelligence Applications on Academic Achievement: A Meta-Analysis

    Eyüp Yurt; Seyat Polat

    2015-01-01

    The purpose of this study was to examine the effectiveness of multiple intelligence applications on academic achievement in Turkey. Accordingly, findings of independent research studies aimed to find out effectiveness of multiple intelligence applications are gathered in a meta-analysis. Total of 71 studies, 66 dissertations and 7 articles were included in the meta-analysis meeting the inclusion criteria. Meta-analysis calculations resulted that the multiple intelligence applicati...

  5. The Effectiveness of Multiple Intelligence Applications on Academic Achievement: A Meta-Analysis

    Yurt, Eyüp; Polat, Seyat

    2015-01-01

    The purpose of this study was to examine the effectiveness of multiple intelligence applications on academic achievement in Turkey. Accordingly, findings of independent research studies aimed to find out effectiveness of multiple intelligence applications are gathered in a meta-analysis. Total of 71 studies, 66 dissertations and 7 articles were included in the meta-analysis meeting the inclusion criteria. Meta-analysis calculations resulted that the multiple intelligence applications have a l...

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

    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…

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

    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

  8. Functional principal components analysis of workload capacity functions

    Burns, Devin M.; Houpt, Joseph W.; Townsend, James T.; Endres, Michael J.

    2013-01-01

    Workload capacity, an important concept in many areas of psychology, describes processing efficiency across changes in workload. The capacity coefficient is a function across time that provides a useful measure of this construct. Until now, most analyses of the capacity coefficient have focused on the magnitude of this function, and often only in terms of a qualitative comparison (greater than or less than one). This work explains how a functional extension of principal components analysis ca...

  9. Data Warehouse Designs Achieving ROI with Market Basket Analysis and Time Variance

    Silvers, Fon

    2011-01-01

    Market Basket Analysis (MBA) provides the ability to continually monitor the affinities of a business and can help an organization achieve a key competitive advantage. Time Variant data enables data warehouses to directly associate events in the past with the participants in each individual event. In the past however, the use of these powerful tools in tandem led to performance degradation and resulted in unactionable and even damaging information. Data Warehouse Designs: Achieving ROI with Market Basket Analysis and Time Variance presents an innovative, soup-to-nuts approach that successfully

  10. Assessment of right atrial function analysis

    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)

  11. Functional Analysis of Kori Unit 1

    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

  12. Basic Functional Analysis Puzzles of Spectral Flow

    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....

  13. Functional analysis in MR urography - made simple

    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.)

  14. Functional analysis in MR urography - made simple

    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.)

  15. Linear functional analysis for scientists and engineers

    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...

  16. Analysis of achievable disturbance attenuation in a precision magnetically-suspended motion control system

    Kuzin, Alexander V.; Holmes, Michael L.; Behrouzjou, Roxana; Trumper, David L.

    1994-01-01

    The results of the analysis of the achievable disturbance attenuation to get an Angstrom motion control resolution and macroscopic travel in a precision magnetically-suspended motion control system are presented in this paper. Noise sources in the transducers, electronics, and mechanical vibrations are used to develop the control design.

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

    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…

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

    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…

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

    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…

  20. Functional Data Analysis with R and MATLAB

    Ramsay, James; Graves, Spencer

    2009-01-01

    Scientists often collect samples of curves and other functional observations, and develop models where parameters are also functions. This title provides computer code in both the R and Matlab languages for a set of data analyses that showcase functional data analysis techniques.

  1. Texture Analysis by Means of Model Functions

    Eschner, Th.

    1993-01-01

    The conception of texture components is widely used in texture analysis. Mostly it is used to describe the orientation distribution function (ODF) qualitatively, and there are only a few special functions used to provide texture component calculations.This paper attempts to introduce another model function describing common texture components and giving a compromise between universality and computational efficiency.

  2. A proposed multidimensional analysis function

    Knight, Byron F.; Hamilton, Mark K.

    2003-08-01

    Previous work has suggested a potential value in the combination of physical property data types (e.g. magnetic and terrain slope) when searching for oil and mineral deposits. This work studies a notional multi-dimensional function to determine the likelihood of finding such deposits. Additionally, this hypothesis assumes some basic requirements must be meet in order to validate this function. The standard for determining the value of commercially gathered electro optical imagery is the same as with any optical system -- the ability to determine object in the field of view. Further, this function is defined as the ability to determine the presence of two parallel lines, vice only one. The National Imagery and Mapping Agency (NIMA) uses a function called Digital Terrain Elevation Data (DTED) to determine the elevation within a field of view. The DTED values for each pixel within a digital, commercial image can be considered similar to a gradient, whereby higher values are merely higher elevations. For the commercial electro optical system IKONOS (owned by Space Imaging, Inc.), the "resolution" is commonly referred to as 1 meter, which is the least discernable, parallel-line, separation distance. This hypothesis uses gravity and magnetic data to augment the DTED "gradient". As with the terrain values on the earth, gravity and magnetic values are continuously changing. Further, they can change for various reasons. Both are greatly affected by the changes in the subsurface materials, or the density of the soil and metallic content (e.g. iron). It is precisely these variations, through the combination of such differing forms of data, which can help determine the presence of oil and mineral deposits. The core of this work is a notional function development. Previous peer review has rightly pointed out that data fusion principles state that data must be commensurable before it can be fused. This work does not attempt to redefine data fusion concepts, but merely establish

  3. Functional linear regression via canonical analysis

    He, Guozhong; Wang, Jane-Ling; Yang, Wenjing; 10.3150/09-BEJ228

    2011-01-01

    We study regression models for the situation where both dependent and independent variables are square-integrable stochastic processes. Questions concerning the definition and existence of the corresponding functional linear regression models and some basic properties are explored for this situation. We derive a representation of the regression parameter function in terms of the canonical components of the processes involved. This representation establishes a connection between functional regression and functional canonical analysis and suggests alternative approaches for the implementation of functional linear regression analysis. A specific procedure for the estimation of the regression parameter function using canonical expansions is proposed and compared with an established functional principal component regression approach. As an example of an application, we present an analysis of mortality data for cohorts of medflies, obtained in experimental studies of aging and longevity.

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

    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…

  5. Construction and analysis of cryptographic functions

    Budaghyan, Lilya

    2015-01-01

    This book covers novel research on construction and analysis of optimal cryptographic functions such as almost perfect nonlinear (APN), almost bent (AB), planar and bent functions. These functions have optimal resistance to linear and/or differential attacks, which are the two most powerful attacks on symmetric cryptosystems. Besides cryptographic applications, these functions are significant in many branches of mathematics and information theory including coding theory, combinatorics, commutative algebra, finite geometry, sequence design and quantum information theory. The author analyzes equ

  6. The Effectiveness of Multiple Intelligence Applications on Academic Achievement: A Meta-Analysis

    Eyüp Yurt

    2015-05-01

    Full Text Available The purpose of this study was to examine the effectiveness of multiple intelligence applications on academic achievement in Turkey. Accordingly, findings of independent research studies aimed to find out effectiveness of multiple intelligence applications are gathered in a meta-analysis. Total of 71 studies, 66 dissertations and 7 articles were included in the meta-analysis meeting the inclusion criteria. Meta-analysis calculations resulted that the multiple intelligence applications have a large and positive effect on academic achievement. It was also revealed that the effect of multiple intelligence applications vary by application period. Thus, as the application period increases, the effect of multiple intelligence application also increases. On the other side, effectiveness of the applications does not vary by; the type of the course, level of the class and the type of the research. Some suggestions made according to the research findings.

  7. Achievement goals and autonomy: how person--context interactions predict effective functioning and well-being during a career transition.

    Heidemeier, Heike; Wiese, Bettina S

    2014-01-01

    This study examined how achievement goals interact with autonomy to explain mastery of a challenging career transition. In a sample of women who were returning from maternity leave, we examined how autonomy interacted with achievement goals to explain two types of outcomes: effective functioning (i.e., self-rated work adjustment, coworker-rated work adjustment, and coworker-rated learning competence) and well-being at work (i.e., positive affect and life satisfaction). In a longitudinal design (249 employees), we found that achievement goals and autonomy had direct effects on successful return to work. Moreover, maladaptive motivational states hindered the effective use of workplace resources: Autonomy moderated the consequences associated with performance-prove and -avoidance goals. Among those who adopted performance-prove goals, autonomy improved work adjustment and learning. However, women who adopted performance-avoidance goals experienced a trade-off between effective functioning and well-being, when equipped with high autonomy. PMID:24447218

  8. European education production functions: what makes a difference for student achievement in Europe?

    2003-01-01

    This paper estimates the effects of family background, resources, and institutions on student performance in 17 Western European school systems. Family background has a strong effect in Europe, remarkably similar in size to the United States. France and Flemish Belgium achieve the most equitable performance for students from different family backgrounds, and Britain and Germany the least. Equality of opportunities is unrelated to countries' mean performance. Quantile regressions show little v...

  9. A Meta-analysis of a Cooperative Learning Models Effects on Student Achievement in Mathematics

    John A. Nunnery

    2013-03-01

    Full Text Available This study synthesizes the mathematics achievement impacts observed in randomized studies of the Student Teams Achievement Divisions cooperative learning model. A total of 15 randomized studies were retrieved from the extant literature. Analyses of d= +0.16. Cohen’s d effect size estimates indicated an overall statistically significant positive effect of. Effect size estimates were also examined for between-class heterogeneity to ascertain whether there were differences in effects for younger children in elementary settings versus adolescent children in secondary settings. These analyses indicated that cooperative learning had a much stronger effect on student achievement for adolescent children than for younger children. Keywords: Meta- analysis, cooperative learning model, between-class.

  10. Input Constraints and Noise Density Functions: A Simple Relation for Bounded-Support and Discrete Capacity-Achieving Inputs

    Fahs, Jihad; Abou-Faycal, Ibrahim

    2016-01-01

    We study the classical problem of characterizing the channel capacity and its achieving distribution in a generic fashion. We derive a simple relation between three parameters: the input-output function, the input cost function and the noise probability density function, one which dictates the type of the optimal input. In Layman terms we prove that the support of the optimal input is bounded whenever the cost grows faster than a cut-off rate equal to the logarithm of the noise PDF evaluated ...

  11. AUDIT FUNCTION ROLE IN ACHIEVING AN EFFICIENT CORPORATE GOVERNANCE – CONCEPTUAL MODEL PROPOSAL

    Melinda Timea Fülöp

    2013-01-01

    Nowadays corporate governance plays an important role in decisions making processes, which represents a relatively new approach for both Romanian scientific studies and practice. As a consequence we consider the increased attention given to corporate governance to be crucial, especially addressing the role of the audit function and the importance of the corporate governance code. Audit function is of particular practical importance in corporate governance, therefore we decided ...

  12. The Functional Methods of Discourse Analysis

    覃卓敏

    2008-01-01

    From the macroscopic angle of function, methods of discourse analysis are clarified to find out two important methods in pragmatics and through which will better used in the understanding of discourse.

  13. Pathway-Based Functional Analysis of Metagenomes

    Bercovici, Sivan; Sharon, Itai; Pinter, Ron Y.; Shlomi, Tomer

    Metagenomic data enables the study of microbes and viruses through their DNA as retrieved directly from the environment in which they live. Functional analysis of metagenomes explores the abundance of gene families, pathways, and systems, rather than their taxonomy. Through such analysis researchers are able to identify those functional capabilities most important to organisms in the examined environment. Recently, a statistical framework for the functional analysis of metagenomes was described that focuses on gene families. Here we describe two pathway level computational models for functional analysis that take into account important, yet unaddressed issues such as pathway size, gene length and overlap in gene content among pathways. We test our models over carefully designed simulated data and propose novel approaches for performance evaluation. Our models significantly improve over current approach with respect to pathway ranking and the computations of relative abundance of pathways in environments.

  14. An introductory course in functional analysis

    Bowers, Adam

    2014-01-01

    Based on a graduate course by the celebrated analyst Nigel Kalton, this well-balanced introduction to functional analysis makes clear not only how, but why, the field developed. All major topics belonging to a first course in functional analysis are covered. However, unlike traditional introductions to the subject, Banach spaces are emphasized over Hilbert spaces, and many details are presented in a novel manner, such as the proof of the Hahn–Banach theorem based on an inf-convolution technique, the proof of Schauder's theorem, and the proof of the Milman–Pettis theorem. With the inclusion of many illustrative examples and exercises, An Introductory Course in Functional Analysis equips the reader to apply the theory and to master its subtleties. It is therefore well-suited as a textbook for a one- or two-semester introductory course in functional analysis or as a companion for independent study.

  15. A factor analysis model for functional genomics

    Shioda Romy; Kustra Rafal; Zhu Mu

    2006-01-01

    Abstract Background Expression array data are used to predict biological functions of uncharacterized genes by comparing their expression profiles to those of characterized genes. While biologically plausible, this is both statistically and computationally challenging. Typical approaches are computationally expensive and ignore correlations among expression profiles and functional categories. Results We propose a factor analysis model (FAM) for functional genomics and give a two-step algorith...

  16. Functional principal components analysis of workload capacity functions.

    Burns, Devin M; Houpt, Joseph W; Townsend, James T; Endres, Michael J

    2013-12-01

    Workload capacity, an important concept in many areas of psychology, describes processing efficiency across changes in workload. The capacity coefficient is a function across time that provides a useful measure of this construct. Until now, most analyses of the capacity coefficient have focused on the magnitude of this function, and often only in terms of a qualitative comparison (greater than or less than one). This work explains how a functional extension of principal components analysis can capture the time-extended information of these functional data, using a small number of scalar values chosen to emphasize the variance between participants and conditions. This approach provides many possibilities for a more fine-grained study of differences in workload capacity across tasks and individuals. PMID:23475829

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

    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…

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

    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, &…

  19. Achieve better roads in Poland while saving resources with French function dissociation concept

    BROSSEAUD, Y; BOGDANSKI, B; Carre, D

    2003-01-01

    The efficient allocation of resources is the key for durable development in general and in particular in Road Construction. Experience has demonstrated that a technology embracing too much function is wasting valuable resources. Skid resistance and structural strength have to be optimised independently to reduce the construction and maintenance expenses. Thin Surfacing technolgy (Béton Bitumineux Très Mince) is reducing the need for high PSV required for long lasting skid resistance whereas H...

  20. Functional joint regeneration is achieved using reintegration mechanism in Xenopus laevis.

    Tsutsumi, Rio; Yamada, Shigehito; Agata, Kiyokazu

    2016-02-01

    A functional joint requires integration of multiple tissues: the apposing skeletal elements should form an interlocking structure, and muscles should insert into skeletal tissues via tendons across the joint. Whereas newts can regenerate functional joints after amputation, Xenopus laevis regenerates a cartilaginous rod without joints, a "spike." Previously we reported that the reintegration mechanism between the remaining and regenerated tissues has a significant effect on regenerating joint morphogenesis during elbow joint regeneration in newt. Based on this insight into the importance of reintegration, we amputated frogs' limbs at the elbow joint and found that frogs could regenerate a functional elbow joint between the remaining tissues and regenerated spike. During regeneration, the regenerating cartilage was partially connected to the remaining articular cartilage to reform the interlocking structure of the elbow joint at the proximal end of the spike. Furthermore, the muscles of the remaining part inserted into the regenerated spike cartilage via tendons. This study might open up an avenue for analyzing molecular and cellular mechanisms of joint regeneration using Xenopus. PMID:27499877

  1. Spectral theory and nonlinear functional analysis

    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.

  2. Short-Term Memory, Working Memory, and Executive Functioning in Preschoolers: Longitudinal Predictors of Mathematical Achievement at Age 7 Years

    Bull, Rebecca; Espy, Kimberly Andrews; Wiebe, Sandra A.

    2008-01-01

    This study examined whether measures of short-term memory, working memory, and executive functioning in preschool children predict later proficiency in academic achievement at 7 years of age (third year of primary school). Children were tested in preschool (M age = 4 years, 6 months) on a battery of cognitive measures, and mathematics and reading outcomes (from standardized, norm-referenced school-based assessments) were taken on entry to primary school, and at the end of the first and third ...

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

    ReinhardKopiez

    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.

  4. Formulating effective policy: Some functions of language in achieving or hindering democratic change

    Stanley G M Ridge

    2008-08-01

    Full Text Available Using examples from education and language policy, this paper explores the implications of certain ways of using language for realising policy goals. Of course, no policy is inherently good, and the best-formulated policy can be turned to bad account. The paper demonstrates, first, that what seems like reactionwy policy can be animated by progressive ideals, and supposedly progressive policy can be used to liberate or oppress depending on the larger social situation. The key issues for this paper is more practical. Well-formulated policy is conductive to success, and bad formulation of policy can impede the achievement of goals and open the way for unintended consequences.Two problems of formulation are dealt with. First, shoddy expression and conceptualisationis shown to create difficulties in some Outcomes Based Education policy documents. The second problem is binary discourse. It is far more insidious and pervasive. The paper demonstrates how binary discourse creates major impediments to implementation in key policy documents relating to education and to language. The difficulties are analysed in some detail. Voorbeelde van die onderwys- en taalbeleid word in hierdie artikel gebruik om die rol van taal in die realisering van die gestelde ideale te verken. Dit blyk dat beleid nie inherent goed is nie. Bleeid wat reaksioner Iyk. kan verlewendig word deur progressiewe ideale, en veronderstelde progressiewe beleid kan, afhangend van die breër sosiale situasie, gehruik word om te bevry of te onderdruk. Beleid wat swak geformuleer is, kan weer die hereiking van beleidsdoelstellings belemme. Oor die algemeen veroorsaak slordige uitdrukking en konseptualisering probleme in sommige beleidsdokumente oor Uitkomsbaseerde Onderwys. Binêre diskoers in die besonder veroorsaakwesenlikebelemmeringe ten opsigtevandieimplementeringvan kernbeliedsdokumenteoor onderwys en taal. Hierdie prohleme word gedeeltelik geanliseer.

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

    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…

  6. Functional Hazard Analysis for Railway Safety

    RAFRAFI,M; El-Koursi, Em

    2007-01-01

    The apportionment of railway safety targets is a key issue to develop a common safety management in the European railway system. In this paper, we develop a generic approach based on the Functional Hazard Analysis (FHA), to analyse the safety of railway systems for a unified European network and to comply with the Common Safety Targets (CSTs) required by the European railway safety directive. We suggest to combine the FHA technique with the functional railway architecture, developed by the AE...

  7. A functional analysis of hair pulling.

    Rapp, J T; Miltenberger, R G; Galensky, T L; Ellingson, S A; Long, E S

    1999-01-01

    We experimentally assessed the functions of hair pulling and hair manipulation of a 19-year-old woman (Kris) with moderate mental retardation and cerebral palsy. In Phase 1 a functional analysis revealed that Kris pulled and manipulated hair for the greatest amount of time in the alone condition, suggesting that the behaviors were maintained by some form of automatic reinforcement (Vaughan & Michael, 1982). In Phase 2 we assessed the nature of the sensory stimulation that maintained hair pull...

  8. Pineal function: impact of microarray analysis

    Klein, David C; Bailey, Michael J; Carter, David A;

    2009-01-01

    retina and has provided reason to explore new avenues of study including intracellular signaling, signal transduction, transcriptional cascades, thyroid/retinoic acid hormone signaling, metal biology, RNA splicing, and the role the pineal gland plays in the immune/inflammation response. The new......Microarray analysis has provided a new understanding of pineal function by identifying genes that are highly expressed in this tissue relative to other tissues and also by identifying over 600 genes that are expressed on a 24-h schedule. This effort has highlighted surprising similarity to the...... foundation that microarray analysis has provided will broadly support future research on pineal function....

  9. Pulmonary function in pubertal synchronized swimmers: 1-year follow-up results and its relation to competitive achievement.

    Gabrilo, Goran; Peric, Mia; Stipic, Marija

    2011-03-01

    Pulmonary function (PF) is particularly important in synchronized swimming, considering the characteristics of this sport. However, the sanitizing agents (chlorine) used in pools can have a possible negative influence on the PF parameters. In this study, we observed 24 swimmers (all women, 14 to 16 years of age) and measured their PF and competitive achievement. PF was measured before and after a 1-year period and included standard spirometric variables. Competitive achievement was evidenced during the National Championship. The t-test showed significant increases in body height and weight of the participants and a resulting increase in most of the absolute respiratory flows and pulmonary capacities. Forced vital capacity (FVC) and forced expiratory volume (both in proportion to norm for body height, gender, and age) increased significantly within the study period. FVC significantly predicted the competitive achievement of young swimmers, most probably because artists have to achieve exceptional breath control when upside down underwater. In conclusion, we found no evidence for the eventual negative influence of chlorine and its compounds on the PF of swimmers, and results showed that regular synchronized swim training could improve the PF of young artists. PMID:21442136

  10. Automated Functional Analysis in Dynamic Medical Imaging

    Tichý, Ondřej

    Praha : Katedra matematiky, FSv ČVUT v Praze, 2012, s. 19-20. [Aplikovaná matematika – Rektorysova soutěž. Praha (CZ), 07.12.2012] Institutional support: RVO:67985556 Keywords : Factor Analysis * Dynamic Sequence * Scintigraphy Subject RIV: BB - Applied Statistics, Operational Research http://library.utia.cas.cz/separaty/2012/AS/tichy-automated functional analysis in dynamic medical imaging.pdf

  11. Functional Data Analysis in Electronic Commerce Research

    Jank, Wolfgang; Shmueli, Galit

    2006-01-01

    This paper describes opportunities and challenges of using functional data analysis (FDA) for the exploration and analysis of data originating from electronic commerce (eCommerce). We discuss the special data structures that arise in the online environment and why FDA is a natural approach for representing and analyzing such data. The paper reviews several FDA methods and motivates their usefulness in eCommerce research by providing a glimpse into new domain insights that they allow. We argue...

  12. Boolean nested canalizing functions: a comprehensive analysis

    Li, Yuan; Murrugarra, David; Aguilar, Boris; Laubenbacher, Reinhard

    2012-01-01

    Boolean network models of molecular regulatory networks have been used successfully in computational systems biology. The Boolean functions that appear in published models tend to have special properties, in particular the property of being nested canalizing, a property inspired by the concept of canalization in evolutionary biology. It has been shown that networks comprised of nested canalizing functions have dynamic properties that make them suitable for modeling molecular regulatory networks, namely a small number of (large) attractors, as well as relatively short limit cycles. This paper contains a detailed analysis of this class of functions, based on a novel normal form as polynomial functions over the Boolean field. The concept of layer is introduced that stratifies variables into different classes depending on their level of dominance. Using this layer concept a closed form formula is derived for the number of nested canalizing functions with a given number of variables. Additional metrics analyzed in...

  13. Reliability analysis of software based safety functions

    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.)

  14. GPU accelerated dynamic functional connectivity analysis for functional MRI data.

    Akgün, Devrim; Sakoğlu, Ünal; Esquivel, Johnny; Adinoff, Bryon; Mete, Mutlu

    2015-07-01

    Recent advances in multi-core processors and graphics card based computational technologies have paved the way for an improved and dynamic utilization of parallel computing techniques. Numerous applications have been implemented for the acceleration of computationally-intensive problems in various computational science fields including bioinformatics, in which big data problems are prevalent. In neuroimaging, dynamic functional connectivity (DFC) analysis is a computationally demanding method used to investigate dynamic functional interactions among different brain regions or networks identified with functional magnetic resonance imaging (fMRI) data. In this study, we implemented and analyzed a parallel DFC algorithm based on thread-based and block-based approaches. The thread-based approach was designed to parallelize DFC computations and was implemented in both Open Multi-Processing (OpenMP) and Compute Unified Device Architecture (CUDA) programming platforms. Another approach developed in this study to better utilize CUDA architecture is the block-based approach, where parallelization involves smaller parts of fMRI time-courses obtained by sliding-windows. Experimental results showed that the proposed parallel design solutions enabled by the GPUs significantly reduce the computation time for DFC analysis. Multicore implementation using OpenMP on 8-core processor provides up to 7.7× speed-up. GPU implementation using CUDA yielded substantial accelerations ranging from 18.5× to 157× speed-up once thread-based and block-based approaches were combined in the analysis. Proposed parallel programming solutions showed that multi-core processor and CUDA-supported GPU implementations accelerated the DFC analyses significantly. Developed algorithms make the DFC analyses more practical for multi-subject studies with more dynamic analyses. PMID:25805449

  15. Redescribing Intonational Categories with Functional Data Analysis

    Zellers, M.; Gubian, M.; Post, B.

    2010-01-01

    Intonational research is often dependent upon hand-labeling by trained listeners, which can be prone to bias or error. We apply tools from Functional Data Analysis (FDA) to a set of fundamental frequency (F0) data to demonstrate how these tools can provide a less theory-dependent way of investigatin

  16. SURFACE TEXTURE ANALYSIS FOR FUNCTIONALITY CONTROL

    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 document...

  17. Statistical Analysis and Modeling of Elastic Functions

    Srivastava, Anuj; Kurtek, Sebastian; Klassen, Eric; Marron, J S

    2011-01-01

    We introduce a novel geometric framework for separating, analyzing and modeling the $x$ (or horizontal) and the $y$ (or vertical) variability in time-warped functional data of the type frequently studied in growth curve analysis. This framework is based on the use of the Fisher-Rao Riemannian metric that provides a proper distance for: (1) aligning, comparing and modeling functions and (2) analyzing the warping functions. A convenient square-root velocity function (SRVF) representation transforms the Fisher-Rao metric to the standard $\\ltwo$ metric, a tool that is applied twice in this framework. Firstly, it is applied to the given functions where it leads to a parametric family of penalized-$\\ltwo$ distances in SRVF space. The parameter controls the levels of elasticity of the individual functions. These distances are then used to define Karcher means and the individual functions are optimally warped to align them to the Karcher means to extract the $y$ variability. Secondly, the resulting warping functions,...

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

    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.

  19. Adult Students' Achievement Goal Orientations and Evaluations of the Learning Environment: A Person-Centred Longitudinal Analysis

    Pulkka, Antti-Tuomas; Niemivirta, Markku

    2013-01-01

    This study focused on the stability and change in students' achievement goal orientations and whether the students' perceptions of the learning environment vary as a function of their achievement goal orientations. Participants were 169 students of the Finnish National Defense University. The students' goal orientations and their evaluations of…

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

    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

  1. Dispersion analysis with inverse dielectric function modelling.

    Mayerhöfer, Thomas G; Ivanovski, Vladimir; Popp, Jürgen

    2016-11-01

    We investigate how dispersion analysis can profit from the use of a Lorentz-type description of the inverse dielectric function. In particular at higher angles of incidence, reflectance spectra using p-polarized light are dominated by bands from modes that have their transition moments perpendicular to the surface. Accordingly, the spectra increasingly resemble inverse dielectric functions. A corresponding description can therefore eliminate the complex dependencies of the dispersion parameters, allow their determination and facilitate a more accurate description of the optical properties of single crystals. PMID:27294550

  2. Functional Data Analysis Applied in Chemometrics

    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...... novelty of heart plots for spectral data. The important aspect of registration, also called warping or alignment, emerges from both the chemometric and statistical perspectives. In Paper III we apply functional registration in the context of biomechanics, specically to data from a juggling experiment. The...

  3. Structure and function analysis of protein–nucleic acid complexes

    Kuznetsova, S. A.; Oretskaya, T. S.

    2016-05-01

    The review summarizes published data on the results and achievements in the field of structure and function analysis of protein–nucleic acid complexes by means of main physical and biochemical methods, including X-ray diffraction, nuclear magnetic resonance spectroscopy, electron and atomic force microscopy, small-angle X-ray and neutron scattering, footprinting and cross-linking. Special attention is given to combined approaches. The advantages and limitations of each method are considered, and the prospects of their application for wide-scale structural studies in vivo are discussed. The bibliography includes 145 references.

  4. Function analysis of steam isolation valves

    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. Redescribing Intonational Categories with Functional Data Analysis

    Zellers, M.; Gubian, M.; Post, B.

    2010-01-01

    Intonational research is often dependent upon hand-labeling by trained listeners, which can be prone to bias or error. We apply tools from Functional Data Analysis (FDA) to a set of fundamental frequency (F0) data to demonstrate how these tools can provide a less theory-dependent way of investigating F0 contours by allowing statistical analyses of whole contours rather than depending on theoretically-determined “important” parts of the signal. The results of this analysis support the predicti...

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

    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.

  7. Functional imaging using the retinal function imager: direct imaging of blood velocity, achieving fluorescein angiography-like images without any contrast agent, qualitative oximetry, and functional metabolic signals.

    Izhaky, David; Nelson, Darin A; Burgansky-Eliash, Zvia; Grinvald, Amiram

    2009-07-01

    The Retinal Function Imager (RFI; Optical Imaging, Rehovot, Israel) is a unique, noninvasive multiparameter functional imaging instrument that directly measures hemodynamic parameters such as retinal blood-flow velocity, oximetric state, and metabolic responses to photic activation. In addition, it allows capillary perfusion mapping without any contrast agent. These parameters of retinal function are degraded by retinal abnormalities. This review delineates the development of these parameters and demonstrates their clinical applicability for noninvasive detection of retinal function in several modalities. The results suggest multiple clinical applications for early diagnosis of retinal diseases and possible critical guidance of their treatment. PMID:19763751

  8. Pineal Function: Impact of Microarray Analysis

    Klein, David C.; Bailey, Michael J; Carter, David A.; Kim, Jong-So; Shi, Qiong; Ho, Anthony; Chik, Constance; Gaildrat, Pascaline; Morin, Fabrice; Ganguly, Surajit; Rath, Martin F.; Møller, Morten; Sugden, David; Rangel, Zoila G.; Peter J Munson

    2009-01-01

    Microarray analysis has provided a new understanding of pineal function by identifying genes that are highly expressed in this tissue relative to other tissues and also by identifying over 600 genes that are expressed on a 24-hour schedule. This effort has highlighted surprising similarity to the retina and has provided reason to explore new avenues of study including intracellular signaling, signal transduction, transcriptional cascades, thyroid/retinoic acid hormone signaling, metal biology...

  9. Biosensors for functional food safety and analysis.

    Lavecchia, Teresa; Tibuzzi, Arianna; Giardi, Maria Teresa

    2010-01-01

    The importance of safety and functionality analysis of foodstuffs and raw materials is supported by national legislations and European Union (EU) directives concerning not only the amount of residues of pollutants and pathogens but also the activity and content of food additives and the health claims stated on their labels. In addition, consumers' awareness of the impact of functional foods' on their well-being and their desire for daily healthcare without the intake pharmaceuticals has immensely in recent years. Within this picture, the availability of fast, reliable, low cost control systems to measure the content and the quality of food additives and nutrients with health claims becomes mandatory, to be used by producers, consumers and the governmental bodies in charge of the legal supervision of such matters. This review aims at describing the most important methods and tools used for food analysis, starting with the classical methods (e.g., gas-chromatography GC, high performance liquid chromatography HPLC) and moving to the use of biosensors-novel biological material-based equipments. Four types of bio-sensors, among others, the novel photosynthetic proteins-based devices which are more promising and common in food analysis applications, are reviewed. A particular highlight on biosensors for the emerging market of functional foods is given and the most widely applied functional components are reviewed with a comprehensive analysis of papers published in the last three years; this report discusses recent trends for sensitive, fast, repeatable and cheap measurements, focused on the detection of vitamins, folate (folic acid), zinc (Zn), iron (Fe), calcium (Ca), fatty acids (in particular Omega 3), phytosterols and phytochemicals. A final market overview emphasizes some practical aspects ofbiosensor applications. PMID:21520718

  10. Medial Cochlear Efferent Function: A Theoretical Analysis

    Mountain, David C.

    2011-11-01

    Since the discovery of the cochlear efferent system, many hypotheses have been put forth for its function. These hypotheses for its function range from protecting the cochlea from over stimulation to improving the detection of sounds in noise. It is known that the medial efferent system innervates the outer hair cells and that stimulation of this system reduces basilar membrane and auditory nerve sensitivity which suggests that this system acts to decrease the gain of the cochlear amplifier. Here I present modeling results as well as analysis of published experimental data that suggest that the function of the medial efferent reflex is to decrease the cochlear amplifier gain by just the right amount so that the nonlinearity in the basilar membrane response lines up perfectly with the inner hair cell nonlinear transduction process to produce a hair cell receptor potential that is proportional to the logarithm of the sound pressure level.

  11. Choosing among Multiple Achievement Measures: Applying Multitrait--Multimethod Confirmatory Factor Analysis to State Assessment, ACT, and Student GPA Data

    Dickinson, Emily R.; Adelson, Jill L.

    2016-01-01

    Practitioners and researchers interested in understanding student achievement, its predictors, and how it relates to other student outcomes are likely unaware of how the source information about achievement may offer subtly different pictures. This study applies multitrait-multimethod (MTMM) confirmatory factor analysis (CFA) within a structural…

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

    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.

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

    Jim C. Fortune

    1993-01-01

    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 discus...

  14. The Effects of Mathematical Modelling on Students’ Achievement-Meta-Analysis of Research

    Andrzej Sokolowski

    2015-01-01

    Full Text Available Using meta-analytic techniques this study examined the effects of applying mathematical modelling to support student math knowledge acquisition at the high school and college levels. The research encompassed experimental studies published in peer-reviewed journals between January 1, 2000, and February 27, 2013. Such formulated orientation called for extracting individual effect sizes of student achievement from the accumulated research conducting a moderator analysis. A systematic review of literature resulted in locating13 primary research articles involving 1,670 participants. The overall mean effect size; ES = 0.69 (SE = 0.05, 95% CI: 0.59–0.79 of a medium magnitude and positive direction supported the claim that mathematical modelling helps students understand and apply math concepts. A subsequent moderator analysis revealed differences of the effect sizes due to different modelling designs, aim of the modelling process, grade levels, and content domains. The research findings along with the discussion can be of interest to mathematics curriculum designers and practitioners who use modelling in their teaching practice.

  15. College Chemistry and Piaget: An Analysis of Gender Difference, Cognitive Abilities, and Achievement Measures Seventeen Years Apart.

    Shibley, Ivan A., Jr.; Milakofsky, Louis; Bender, David S.; Patterson, Henry O.

    2003-01-01

    Investigates whether introductory college chemistry students today differ from those a generation ago in terms of Piagetian cognitive functioning, aptitude, and achievement, and whether the gender differences in Piagetian cognitive development functioning found in 1981 are still evident today. Suggests that today's students are different in a…

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

    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.

  17. Functional Organosulfide Electrolyte Promotes an Alternate Reaction Pathway to Achieve High Performance in Lithium-Sulfur Batteries.

    Chen, Shuru; Dai, Fang; Gordin, Mikhail L; Yu, Zhaoxin; Gao, Yue; Song, Jiangxuan; Wang, Donghai

    2016-03-18

    Lithium-sulfur (Li-S) batteries have recently received great attention because they promise to provide energy density far beyond current lithium ion batteries. Typically, Li-S batteries operate by conversion of sulfur to reversibly form different soluble lithium polysulfide intermediates and insoluble lithium sulfides through multistep redox reactions. Herein, we report a functional electrolyte system incorporating dimethyl disulfide as a co-solvent that enables a new electrochemical reduction pathway for sulfur cathodes. This pathway uses soluble dimethyl polysulfides and lithium organosulfides as intermediates and products, which can boost cell capacity and lead to improved discharge-charge reversibility and cycling performance of sulfur cathodes. This electrolyte system can potentially enable Li-S batteries to achieve high energy density. PMID:26918660

  18. Functional Analysis of Arabidopsis Sucrose Transporters

    John M. Ward

    2009-03-31

    Sucrose is the main photosynthetic product that is transported in the vasculature of plants. The long-distance transport of carbohydrates is required to support the growth and development of net-importing (sink) tissues such as fruit, seeds and roots. This project is focused on understanding the transport mechanism sucrose transporters (SUTs). These are proton-coupled sucrose uptake transporters (membrane proteins) that are required for transport of sucrose in the vasculature and uptake into sink tissues. The accomplishments of this project included: 1) the first analysis of substrate specificity for any SUT. This was accomplished using electrophysiology to analyze AtSUC2, a sucrose transporter from companion cells in Arabidopsis. 2) the first analysis of the transport activity for a monocot SUT. The transport kinetics and substrate specificity of HvSUT1 from barley were studied. 3) the first analysis of a sucrose transporter from sugarcane. and 4) the first analysis of transport activity of a sugar alcohol transporter homolog from plants, AtPLT5. During this period four primary research papers, funded directly by the project, were published in refereed journals. The characterization of several sucrose transporters was essential for the current effort in the analysis of structure/function for this gene family. In particular, the demonstration of strong differences in substrate specificity between type I and II SUTs was important to identify targets for site-directed mutagenesis.

  19. Receiver Functions Analysis across the Northen Apennines

    Di Bona, M.; Lucente, F. P.; Piana Agostinetti, N.; Selvaggi, G.; Levin, V.; Park, J.

    2001-12-01

    The syn-collisional extension of the Northern Apennines is well established mainly from tomographic images, active faulting and geological data. A step forward in understanding how this process began, and how is going on, is the modelling of dynamic processes causing syn-collision extension. This requires the knowledge of several, still lacking, geometric characteristics of the deep structure. Among these, crustal structure, depth and geometry of main discontinuities is priority for dynamic modelling. For this reason, we deployed 10 continuosly recording broad-band seismic stations from Corsica to the Adriatic coast for five months during the past millennium, with the aim to apply receiver function analysis, to gain refined tomographic images, and to explore anisotropic characteristics of the upper mantle. We recorded several tens of teleseismic events with magnitude larger than 5.0 (up to Mw=8.3) with a good azimuthal coverage. Receiver functions are performed for teleseisms in the epicentral distance interval between 30° and 100° through classical frequency-domain deconvolution. Following the approach developed by Di Bona (1998), we could provide a variance estimate for single receiver function, assessing the statistical accuracy of amplitudes. This procedure allows us to use small magnitude events (Mb=5.0) generally excluded from receiver function analyses. Results show that individual converted arrivals have a large consistency for each station. The best receiver functions will be inverted for fine crustal structure following the inversion scheme proposed by Sambridge (1998). Finally, the dataset has been provided to the Dept. Of Geology and Geophysics (Yale University) with the aim to compare independent estimate of receiver functions (see Levin et al., this session).

  20. FANTOM: Functional and taxonomic analysis of metagenomes

    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.

  1. Improved yields of full-length functional human FGF1 can be achieved using the methylotrophic yeast Pichia pastoris.

    Fantoni, Adele; Bill, Roslyn M; Gustafsson, Lena; Hedfalk, Kristina

    2007-03-01

    We have produced human fibroblast growth factor 1 (hFGF1) in the methylotrophic yeast Pichia pastoris in order to obtain the large amounts of active protein required for subsequent functional and structural characterization. Four constructs were made to examine both intracellular and secreted expression, with variations in the location of the His6 tag at either end of the peptide. hFGF1 could be produced from all four constructs in shake flasks, but production was optimized by growing only the highest-yielding of these strains, which produced hFGF1 intracellularly, under tightly controlled conditions in a 3 L fermentor. One hundred and eight milligrams of pure protein was achieved per liter culture (corresponding to 0.68 mg of protein per gram of wet cells), the function of which was verified using NIH 3T3 cell cultures. This is a 30-fold improvement over previously reported yields of full-length hFGF1. PMID:17134911

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

    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 similaritie...

  3. Functional analysis and the Feynman operator calculus

    Gill, Tepper L

    2016-01-01

    This book provides the mathematical foundations for Feynman's operator calculus and for the Feynman path integral formulation of quantum mechanics as a natural extension of analysis and functional analysis to the infinite-dimensional setting. In one application, the results are used to prove the last two remaining conjectures of Freeman Dyson for quantum electrodynamics. In another application, the results are used to unify methods and weaken domain requirements for non-autonomous evolution equations. Other applications include a general theory of Lebesgue measure on Banach spaces with a Schauder basis and a new approach to the structure theory of operators on uniformly convex Banach spaces. This book is intended for advanced graduate students and researchers.

  4. Functional analysis: The path to effective training

    The regulatory requirements under which the Yucca Mountain Site Characterization Project (YMP) operates mandate that worker proficiency be achieved and maintained. Individuals performing activities that affect quality should be adequately trained to perform work to a specified standard. Effective training must be structured around the tasks performed and their performance standards which is often an expensive and labor-intensive processing involving many interviews and worker observations. Tasks at YMP include such things as procedure review, data analysis, and test design none of which lend themselves to worker observation. Additionally, budget and time constraints and a small staff of trained job and task analysts have made the analysis process very onerous for everyone. The challenge faced by the YMP training staff was to designed effective initial and continuing training programs for a staff of 700 people filling approximately 550 positions. Crucial to the success of this effort is the collection of valid, sufficiently detailed data on the types of tasks performed and their associated performance standards. This paper describes how the YMP has streamlined the data collection process, cutting the costs and man-hours required while still maintaining the high quality and validity of the data collected

  5. Middle School Friendships and Academic Achievement in Early Adolescence: A Longitudinal Analysis

    Véronneau, Marie-Hélène; Dishion, Thomas J.

    2011-01-01

    Early adolescence is a critical transition period for the maintenance of academic achievement. One factor that school systems often fail to take into account is the influence of friends on academic achievement during middle school. This study investigated the influence of friends’ characteristics on change in academic achievement from Grade 6 through 8, and the role of students’ own characteristics as moderators of this relationship. The sample included 1,278 participants (698 girls). Linear ...

  6. Unpacking High and Low Efficacy Teachers' Task Analysis and Competence Assessment in Teaching Low-Achieving Students in Secondary Schools

    Wang, Li-Yi; Jen-Yi, Li; Tan, Liang-See; Tan, Irene; Lim, Xue-Fang; Wu, Bing Sheng

    2016-01-01

    This study adopted a pragmatic qualitative research design to unpack high and low efficacy teachers' task analysis and competence assessment in the context of teaching low-achieving students. Nine secondary school English and Science teachers were recruited and interviewed. Results of thematic analysis show that helping students perform well in…

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

    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)

  8. Dimensional Analysis of Production and Utility Functions in Economics

    Kim, Minseong

    2015-01-01

    This paper explores dimensional analysis of production and utility functions in economics. As raised by Barnett, dimensional analysis is important in consistency checks of economics functions. However, unlike Barnett's dismissal of CES and Cobb-Douglas production functions, we will demonstrate that under constant return-to-scale and other assumptions, production function can indeed be justified dimensionally. And then we consider utility functions.

  9. Linear Discriminant Analysis Achieves High Classification Accuracy for the BOLD fMRI Response to Naturalistic Movie Stimuli.

    Mandelkow, Hendrik; de Zwart, Jacco A; Duyn, Jeff H

    2016-01-01

    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 Neighbor (NN), Gaussian Naïve Bayes (GNB), and (regularized) 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 regularized by principal component analysis (PCA) achieved high classification accuracies, above 90% on average for single fMRI volumes acquired 2 s apart during a 300 s movie (chance level 0.7% = 2 s/300 s). 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

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

    Bong-Hyun Kim

    2015-01-01

    Full Text Available 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.

  11. Biosignals analysis for kidney function effect analysis of fennel aromatherapy.

    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

  12. Structural and functional analysis of rice genome

    Akhilesh K. Tyagi; Jitendra P. Khurana; Paramjit Khurana; Saurabh Raghuvanshi; Anupama Gaur; Anita Kapur; Vikrant Gupta; Dibyendu Kumar; V. Ravi; Shubha Vij; Parul Khurana; Sulabha Sharma

    2004-04-01

    Rice is an excellent system for plant genomics as it represents a modest size genome of 430 Mb. It feeds more than half the population of the world. Draft sequences of the rice genome, derived by whole-genome shotgun approach at relatively low coverage (4–6 X), were published and the International Rice Genome Sequencing Project (IRGSP) declared high quality (>10 X), genetically anchored, phase 2 level sequence in 2002. In addition, phase 3 level finished sequence of chromosomes 1, 4 and 10 (out of 12 chromosomes of rice) has already been reported by scientists from IRGSP consortium. Various estimates of genes in rice place the number at > 50,000. Already, over 28,000 full-length cDNAs have been sequenced, most of which map to genetically anchored genome sequence. Such information is very useful in revealing novel features of macro- and micro-level synteny of rice genome with other cereals. Microarray analysis is unraveling the identity of rice genes expressing in temporal and spatial manner and should help target candidate genes useful for improving traits of agronomic importance. Simultaneously, functional analysis of rice genome has been initiated by marker-based characterization of useful genes and employing functional knock-outs created by mutation or gene tagging. Integration of this enormous information is expected to catalyze tremendous activity on basic and applied aspects of rice genomics.

  13. Introduction to measure theory and functional analysis

    Cannarsa, Piermarco

    2015-01-01

    This book introduces readers to theories that play a crucial role in modern mathematics, such as integration and functional analysis, employing a unifying approach that views these two subjects as being deeply intertwined. This feature is particularly evident in the broad range of problems examined, the solutions of which are often supported by generous hints. If the material is split into two courses, it can be supplemented by additional topics from the third part of the book, such as functions of bounded variation, absolutely continuous functions, and signed measures. This textbook addresses the needs of graduate students in mathematics, who will find the basic material they will need in their future careers, as well as those of researchers, who will appreciate the self-contained exposition which requires no other preliminaries than basic calculus and linear algebra.

  14. Functional data analysis of generalized regression quantiles

    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.

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

    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

  16. A Comparative Analysis of Preschool Attendance and Reading Achievement among Second-Grade Students

    Burton, Kelly Latham

    2011-01-01

    Preschool attendance is considered an important factor for predicting later success in literacy achievement. This quantitative ex-post facto study examined whether attendance of public prekindergarten is related to improved reading achievement in 2nd grade students in a rural, southeastern school district. The learning theories of Piaget, Bandura,…

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

    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…

  18. Do Performance Goals Promote Learning? A Pattern Analysis of Singapore Students' Achievement Goals

    Luo, Wenshu; Paris, Scott G.; Hogan, David; Luo, Zhiqiang

    2011-01-01

    This study investigated how achievement goals are combined to affect students' learning. We used a multiple goals perspective, based on mastery (i.e., mastery approach) and performance (including both approach and avoidance components) goals, to examine the achievement goal patterns of 1697 Singapore Secondary 3 students in their math study. Four…

  19. Longitudinal Analysis of Chinese High School Student's Stress in School and Academic Achievement

    Liu, Yangyang; Lu, Zuhong

    2011-01-01

    In previous research, few studies have examined the effects of adolescents' stress in school on the change rates of their academic achievement. In the present study, we seek to examine the longitudinal relationships between adolescents' stress in school and the change rates of their academic achievement. The results indicated that for those whose…

  20. 基于Excel函数实现学生成绩有效管理%Excel-based Functions to Achieve Effective Management of Student Achievement

    钱平生

    2013-01-01

    本文基于Excel函数实现对学生成绩的有效管理,旨在说明Excel电子表格作为目前应用比较广泛的数据处理软件在教务管理实践的具体应用。本例主要利用VLOOKUP、INDIRECT、SMALL、TEXT和COUNTIF等函数,来实现对外部数据的读取、高级筛选,数据的统计、分析和查询等功能。%This article brings about an efifcient management of students’ academic records based on Excellfunctions and intends to illustrate that Excellcan be applied to educational administration as a widely-used data processing software. This instance axtualized an advanced iflter and read of external data and statistics, analysis and query of data by using VLOOKUP, INDIRECT, SMALL, TEXT and COUNTIF.

  1. Toward Infection-Resistant Surfaces: Achieving High Antimicrobial Peptide Potency by Modulating the Functionality of Polymer Brush and Peptide.

    Yu, Kai; Lo, Joey C Y; Mei, Yan; Haney, Evan F; Siren, Erika; Kalathottukaren, Manu Thomas; Hancock, Robert E W; Lange, Dirk; Kizhakkedathu, Jayachandran N

    2015-12-30

    Bacterial infection associated with indwelling medical devices and implants is a major clinical issue, and the prevention or treatment of such infections is challenging. Antimicrobial coatings offer a significant step toward addressing this important clinical problem. Antimicrobial coatings based on tethered antimicrobial peptides (AMPs) on hydrophilic polymer brushes have been shown to be one of the most promising strategies to avoid bacterial colonization and have demonstrated broad spectrum activity. Optimal combinations of the functionality of the polymer-brush-tethered AMPs are essential to maintaining long-term AMP activity on the surface. However, there is limited knowledge currently available on this topic. Here we report the development of potent antimicrobial coatings on implant surfaces by elucidating the roles of polymer brush chemistry and peptide structure on the overall antimicrobial activity of the coatings. We screened several combinations of polymer brush coatings and AMPs constructed on nanoparticles, titanium surfaces, and quartz slides on their antimicrobial activity and bacterial adhesion against Gram-positive and Gram-negative bacteria. Highly efficient killing of planktonic bacteria by the antimicrobial coatings on nanoparticle surfaces, as well as potent killing of adhered bacteria in the case of coatings on titanium surfaces, was observed. Remarkably, the antimicrobial activity of AMP-conjugated brush coatings demonstrated a clear dependence on the polymer brush chemistry and peptide structure, and optimization of these parameters is critical to achieving infection-resistant surfaces. By analyzing the interaction of polymer-brush-tethered AMPs with model lipid membranes using circular dichroism spectroscopy, we determined that the polymer brush chemistry has an influence on the extent of secondary structure change of tethered peptides before and after interaction with biomembranes. The peptide structure also has an influence on the density

  2. Systematic analysis on the achievable accuracy of PT-PET through automated evaluation techniques

    Helmbrecht, Stephan; Stuetzer, Kristin [Technische Univ. Dresden (Germany). OncoRay - National Center for Radiation Research in Oncology; Kuess, Peter; Georg, Dietmar [Medical Univ. Vienna (Austria). Comprehensive Cancer Center; Medical Univ. Vienna (Austria). Christian Doppler Lab. for Medical Radiation Research for Radiation Oncology; Birkfellner, Wolfgang [Medical Univ. Vienna (Austria). Christian Doppler Lab. for Medical Radiation Research for Radiation Oncology; Medical Univ. Vienna (Austria). Center for Medical Physics and Biomedical Engineering; Enghardt, Wolfgang [Technische Univ. Dresden (Germany). OncoRay - National Center for Radiation Research in Oncology; Helmholtz-Zentrum Dresden-Rossendorf, Dresden (Germany). Inst. of Radiation Oncology; Fiedler, Fine [Helmholtz-Zentrum Dresden-Rossendorf, Dresden (Germany). Inst. of Radiation Physics

    2015-09-01

    Particle Therapy Positron Emission Tomography (PT-PET) is currently the only clinically applied method for in vivo verification of ion-beam radiotherapy during or close in time to the treatment. Since a direct deduction of the delivered dose from the measured activity is not feasible, images are compared to a reference distribution. The achievable accuracy of two image analysis approaches was investigated by means of reproducible phantom benchmark tests. This is an objective method that excludes patient related factors of influence. Two types of phantoms were designed to produce well defined deviations in the activity distributions. Pure range differences were simulated using the first phantom type while the other emulated cavity structures. The phantoms were irradiated with {sup 12}C-ions. PT-PET measurements were performed by means of a camera system installed at the beamline. Different measurement time scenarios were investigated, assuming a PET scanner directly at the irradiation site or placed within the treatment room. The images were analyzed by means of the Pearson Correlation Coefficient (PCC) and a range calculation algorithm combined with a dedicated cavity filling detection method. Range differences could be measured with an error of less than 2 mm. The range comparison algorithm yielded slightly better results than the PCC method. The filling of a cavity structure could be safely detected if its inner diameter was at least 5 mm. Both approaches evaluate the PT-PET data in an objective way and deliver promising results for in-beam and in-room PET for clinical realistic dose rates.

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

    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…

  4. An analysis of the relationship between learning satisfaction and academic achievement of non-traditional learners in Singapore

    Henry Khiat

    2013-01-01

    This study investigated the relationship between the learning satisfaction and academic achievement of non-traditional learners in Singapore. Data were collected from 880 students through a component of the student evaluation exercise in a Singapore university in 2011. A mixed-methods approach was adopted in the analysis. Spearman’s rho coefficient stated that there is a weak but significant correlation between academic achievement and learning satisfaction. Coding and categorization of the q...

  5. The Extent of Applying Value Chain Analysis to Achieve and Sustain Competitive Advantage in Jordanian Manufacturing Companies

    Musa Abdel Latif Ibrahim Alnawaiseh; Firas Muhammad AL-Rawashdi; Mahmoud Alnawaiseh

    2014-01-01

    This study aims at identifying the extent of applying value chain analysis (VCA) to achieve and sustain competitive advantage in manufacturing companies in Jordan. To achieve the study’s objectives, a questionnaire was developed and pre -tested. The population of the study consists of the (93) company which are listed in the Amman Stock Exchange of Jordan in the end of the 2012, (65) companies of them accepted to fill the questionnaires. (81.5)% of the distributed questionnaires was received....

  6. Analysis of attitude and achievement using the 5E instructional model in an interactive television environment

    Cherry, Gamaliel R.

    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 Taxonomy were used to measure levels of achievement while the Science Attitude Inventory II was used to measure science attitudes. Results indicated a significant interaction between inquiry and topic area, as well as achievement for remember, understand, and apply levels of Bloom's Revised Taxonomy. Differences between mean scores were in favor of the treatment group on both topic and achievement levels. Findings echo research that encourages the use of inquiry-based instruction to improve achievement. This study also serves as a reference for supplemental content providers searching for an effective instructional strategy when delivering instruction through interactive television. Recommendations for future research include the examination of: development time between inquiry-based and lecture-based strategies, a longitudinal study of attitude and achievement from elementary through middle school, differences between interactive television sessions and asynchronous sessions, and types of inquiry-based instruction related to student achievement and retention through interactive television.

  7. Computational based functional analysis of Bacillus phytases.

    Verma, Anukriti; Singh, Vinay Kumar; Gaur, Smriti

    2016-02-01

    Phytase is an enzyme which catalyzes the total hydrolysis of phytate to less phosphorylated myo-inositol derivatives and inorganic phosphate and digests the undigestable phytate part present in seeds and grains and therefore provides digestible phosphorus, calcium and other mineral nutrients. Phytases are frequently added to the feed of monogastric animals so that bioavailability of phytic acid-bound phosphate increases, ultimately enhancing the nutritional value of diets. The Bacillus phytase is very suitable to be used in animal feed because of its optimum pH with excellent thermal stability. Present study is aimed to perform an in silico comparative characterization and functional analysis of phytases from Bacillus amyloliquefaciens to explore physico-chemical properties using various bio-computational tools. All proteins are acidic and thermostable and can be used as suitable candidates in the feed industry. PMID:26672917

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

    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.

  9. Analysis of performance instruction delivery methods on student achievement in principles of marketing

    Brown, Bruce Edward

    1994-01-01

    This study investigated the use of alternative performance instruction delivery methods on student achievement in a Principles of Marketing course taught at New River Community College during the 1993 fall semester. The study sought to determine if alternative delivery methods of performance instruction would influence students' achievement in the course. The design of the study was quasi-experimental. Two treatment groups were engaged by this study. One group received performance instr...

  10. A Meta-analysis of a Cooperative Learning Models Effects on Student Achievement in Mathematics

    John A. Nunnery; Shanan Chappell; Pamela Arnold

    2013-01-01

    This study synthesizes the mathematics achievement impacts observed in randomized studies of the Student Teams Achievement Divisions cooperative learning model. A total of 15 randomized studies were retrieved from the extant literature. Analyses of d= +0.16. Cohen’s d effect size estimates indicated an overall statistically significant positive effect of. Effect size estimates were also examined for between-class heterogeneity to ascertain whether there were differences in effects for young...

  11. Economic Analysis on Monetization of Soil Functions

    Zenglei; XI; Shaoqing; ZHANG

    2013-01-01

    On the basis of making clear diversity characteristics of soil functions and multiple characteristics of income, this paper points out that the monetization of soil functions based functional maintenance and change decision process can be regarded as a game process of different utilization methods at the background of different functions. The balance of this game process will determine monetary value of soil functions. After understanding money and monetization concepts, it introduces that measurability and exchangeability of soil functions provide objective conditions for monetization of soil functions. Finally, it discusses that usefulness value of soil functions provide basis for monetization of soil functions.

  12. Numerical analysis for the moments of Bessel functions and Bessel-trigonometric functions

    Wang, Yinkun; Ying LI; Luo, Jianshu

    2016-01-01

    The moments of Bessel functions and Bessel-trigonometric functions play a basic role in many practical problems and numerical analysis. This paper presents a complete analysis for these moments based on the recursive relations of Bessel functions. To evaluate the moments of Bessel functions numerically, a fast and efficient scheme is also proposed to approximate the integral of Bessel function of the first kind and of zero order. The moments of Bessel-trigonometric functions are proved to be ...

  13. Single-parent households and children's educational achievement: A state-level analysis.

    Amato, Paul R; Patterson, Sarah; Beattie, Brett

    2015-09-01

    Although many studies have examined associations between family structure and children's educational achievement at the individual level, few studies have considered how the increase in single-parent households may have affected children's educational achievement at the population level. We examined changes in the percentage of children living with single parents between 1990 and 2011 and state mathematics and reading scores on the National Assessment of Educational Progress. Regression models with state and year fixed effects revealed that changes in the percentage of children living with single parents were not associated with test scores. Increases in maternal education, however, were associated with improvements in children's test scores during this period. These results do not support the notion that increases in single parenthood have had serious consequences for U.S. children's school achievement. PMID:26188447

  14. A Method of Clustering Components into Modules Based on Products' Functional and Structural Analysis

    MENG Xiang-hui; JIANG Zu-hua; ZHENG Ying-fei

    2006-01-01

    Modularity is the key to improving the cost-variety trade-off in product development. To achieve the functional independency and structural independency of modules, a method of clustering components to identify modules based on functional and structural analysis was presented. Two stages were included in the method. In the first stage the products' function was analyzed to determine the primary level of modules. Then the objective function for modules identifying was formulated to achieve functional independency of modules. Finally the genetic algorithm was used to solve the combinatorial optimization problem in modules identifying to form the primary modules of products. In the second stage the cohesion degree of modules and the coupling degree between modules were analyzed. Based on this structural analysis the modular scheme was refined according to the thinking of structural independency. A case study on the gear reducer was conducted to illustrate the validity of the presented method.

  15. Energy and indoor environmental quality of residential construction in Chile : analysis of the trends, achievements and pending challenges

    Bobadilla Moreno, Luis

    2014-01-01

    This work is devoted to conducting a critical analysis of the trends, achievements and pending challenges in energy and environmental quality in relation to the indoor climate of residential buildings in Chile. From said analysis, which covers the period 1982-2012, a strategic development plan is proposed with objectives, indicators and a set of prioritized actions to reduce quality gaps within 10 years. Experimental and numerical simulation techniques are utilized to carry out a diagnosis of...

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

    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…

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

    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…

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

    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…

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

    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. An Analysis of Freshmen Learning Styles and Their Relationship to Academic Achievement

    Cutolo, Angela; Rochford, Regina A.

    2007-01-01

    Although postsecondary education and advanced skills are critical for a better quality of life and greater earning potential, a large percentage of college students fail to earn degrees. In an attempt to understand this problem and improve student achievement and retention, this study identified the relationship between learning-style preferences…

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

    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…

  2. Analysis on Achieving a Minimum Bunch Length in LCLS Bunch Compressor One

    Sun, Yipeng; Huang, Zhirong; Ding, Yuantao; Wu, Juhao; /SLAC

    2011-08-19

    An ultra-short bunch is required by different applications in many aspects. In this paper, the condition to achieve a minimum bunch length at the Linac Coherent Light Source (LCLS) [1] bunch compressor one (BC1) is analyzed analytically and evaluated by simulation. The space charge, wake field and coherent synchrotron radiation (CSR) effects are not discussed here.

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

    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,…

  4. On Money and Motivation: A Quasi-Experimental Analysis of Financial Incentives for College Achievement

    Scott-Clayton, Judith

    2011-01-01

    Programs linking college aid to academic achievement could work either by lowering the cost of college or by inducing additional student effort. I examine the PROMISE program in West Virginia, which offers free tuition to students who maintain a minimum GPA and course load. Using administrative data, I exploit discontinuities in the eligibility…

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

    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…

  6. Relationship between Educational Resources and School Achievement: A Mixed Method Intra-District Analysis

    Jimenez-Castellanos, Oscar

    2010-01-01

    This study examines the relationship between educational resources (fiscal, personnel and facilities) and school achievement within a large urban/suburban elementary school district. A sequential mixed methods approach reveals inequitable resource allocation trends and patterns between schools within a school district by producing different…

  7. An Analysis of the Academic Achievement of Indian High School Students in Federal and Public Schools.

    Bass, Willard P.

    A longitudinal study was designed to determine whether there were significant differences in academic achievement between senior high American Indian students in Federal on-reservation, Federal off-reservation, public on-reservation, and public off-reservation schools. The purpose of the study was to gather a variety of data on psychological and…

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

    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…

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

    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…

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

    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…

  11. An Intuitive Analysis of the Impacts of Floods on Achieving MDGS in Pakistan

    Abdul Hamid

    2011-09-01

    Full Text Available The aim of the study is to analyse the impacts of catastrophic floods of 2010 on achieving Millennium Development Goals (MDGs in Pakistan. Since 2006, Pakistan has been facing many obstacles in its way to achieve the MDGs, stemming from rise in insurgency, electricity crisis, a sudden meltdown of the global economy in 2008, along with a sharp rise in oil and food prices earlier in that year. The floods in 2010, have destroyed lives, houses, croplands and road infrastructure, causing enormous suffering and damages across an area the size of Italy. These damages have put the country to a state from where it may take decades to recoup. It has been estimated that approximately 20 million people in 78 districts in Pakistan have been affected. Moreover, 2,000 people died, cropped areas of 2 million hector and 2 million houses were also damaged. Standing crops, animal farms, livestock the major sources of income for rural families, have been destroyed causing further rise in the incidence of Poverty. Similarly, there is also likelihood that the destruction caused to schools, hospital, other infrastructure will also negatively affects the Pakistan’s performance regarding Health and Education related MDG indicators. Moreover, recent floods 2011 in Sindh will also have heavy toll on the economy and further aggravate the situation in achieving of MDGs in Pakistan. The study found that the impacts of disastrous flood were more severe in those districts which were already lagging behind in achieving MDGs.

  12. Analyzing Distributed Functions in an Integrated Hazard Analysis

    Morris, A. Terry; Massie, Michael J.

    2010-01-01

    Large scale integration of today's aerospace systems is achievable through the use of distributed systems. Validating the safety of distributed systems is significantly more difficult as compared to centralized systems because of the complexity of the interactions between simultaneously active components. Integrated hazard analysis (IHA), a process used to identify unacceptable risks and to provide a means of controlling them, can be applied to either centralized or distributed systems. IHA, though, must be tailored to fit the particular system being analyzed. Distributed systems, for instance, must be analyzed for hazards in terms of the functions that rely on them. This paper will describe systems-oriented IHA techniques (as opposed to traditional failure-event or reliability techniques) that should be employed for distributed systems in aerospace environments. Special considerations will be addressed when dealing with specific distributed systems such as active thermal control, electrical power, command and data handling, and software systems (including the interaction with fault management systems). Because of the significance of second-order effects in large scale distributed systems, the paper will also describe how to analyze secondary functions to secondary functions through the use of channelization.

  13. Generating functional analysis of CDMA detection dynamics

    We investigate the detection dynamics of the parallel interference canceller (PIC) for code-division multiple-access (CDMA) multiuser detection, applied to a randomly spread, fully synchronous base-band uncoded CDMA channel model with additive white Gaussian noise (AWGN) under perfect power control in the large-system limit. It is known that the predictions of the density evolution (DE) can fairly explain the detection dynamics only in the case where the detection dynamics converge. At transients, though, the predictions of DE systematically deviate from computer simulation results. Furthermore, when the detection dynamics fail to converge, the deviation of the predictions of DE from the results of numerical experiments becomes large. As an alternative, generating functional analysis (GFA) can take into account the effect of the Onsager reaction term exactly and does not need the Gaussian assumption of the local field. We present GFA to evaluate the detection dynamics of PIC for CDMA multiuser detection. The predictions of GFA exhibit good consistency with the computer simulation result for any condition, even if the dynamics fail to converge

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

    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 investigated the association between perinatal maternal depression and poor academic achievement in adolescence. The pathways to explain the risks are also...

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

    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. PMID:24930818

  16. Implementation intentions and goal achievement : a meta-analysis of effects and processes

    Gollwitzer, Peter M.; Sheeran, Paschal

    2006-01-01

    Holding a strong goal intention ("I intend to reach Z!") does not guarantee goal achievement, because people may fail to deal effectively with selfregulatory problems during goal striving. This review analyzes wether realization of goal intentions is facilitated by forming an implementation intention that spells out the when, where, and how of goal striving in advance ("If situation Y is encountered, then I will initiate goal-directed behavior X!"). Findings from 94 independent tests showed t...

  17. Algorithm for Achieving Consensus Over Conflicting Rumors: Convergence Analysis and Applications

    Semma, Amine; Elouafiq, Ismail

    2015-01-01

    Motivated by the large expansion in the study of social networks, this paper deals with the problem of multiple messages spreading over the same network using gossip algorithms. Given two messages distributed over some nodes of the graph, we first investigate the final distribution of the messages given an initial state. Then, an algorithm is presented to achieve consensus over one of the messages. Finally, a game theoretical application and an analogy with word-of-mouth marketing are outlined.

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

    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.

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

    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

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

    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. Advanced functionality for radio analysis in the Offline software framework of the Pierre Auger Observatory

    Abreu, P; Ahn, E J; Albuquerque, I F M; Allard, D; Allekotte, I; Allen, J; Allison, P; Castillo, J Alvarez; Alvarez-Muñiz, J; Ambrosio, M; Aminaei, A; Anchordoqui, L; Andringa, S; Antičić, T; Aramo, C; Arganda, E; Arqueros, F; Asorey, H; Assis, P; Aublin, J; Ave, M; Avenier, M; Avila, G; Bäcker, T; Balzer, M; Barber, K B; Barbosa, A F; Bardenet, R; Barroso, S L C; Baughman, B; Beatty, J J; Becker, B R; Becker, K H; Bellido, J A; BenZvi, S; Berat, C; Bertou, X; Biermann, P L; Billoir, P; Blanco, F; Blanco, M; Bleve, C; Blümer, H; Boháčová, M; Boncioli, D; Bonifazi, C; Bonino, R; Borodai, N; Brack, J; Brogueira, P; Brown, W C; Bruijn, R; Buchholz, P; Bueno, A; Burton, R E; Caballero-Mora, K S; Caramete, L; Caruso, R; Castellina, A; Cataldi, G; Cazon, L; Cester, R; Chauvin, J; Chiavassa, A; Chinellato, J A; Chou, A; Chudoba, J; Clay, R W; Coluccia, M R; Conceição, R; Contreras, F; Cook, H; Cooper, M J; Coppens, J; Cordier, A; Cotti, U; Coutu, S; Covault, C E; Creusot, A; Criss, A; Cronin, J; Curutiu, A; Dagoret-Campagne, S; Dallier, R; Dasso, S; Daumiller, K; Dawson, B R; de Almeida, R M; De Domenico, M; De Donato, C; de Jong, S J; De La Vega, G; Junior, W J M de Mello; Neto, J R T de Mello; De Mitri, I; de Souza, V; de Vries, K D; Decerprit, G; del Peral, L; Deligny, O; Dembinski, H; Denkiewicz, A; Di Giulio, C; Diaz, J C; Castro, M L Díaz; Diep, P N; Dobrigkeit, C; D'Olivo, J C; Dong, P N; Dorofeev, A; Anjos, J C dos; Dova, M T; D'Urso, D; Dutan, I; Ebr, J; Engel, R; Erdmann, M; Escobar, C O; Etchegoyen, A; Luis, P Facal San; Falcke, H; Farrar, G; Fauth, A C; Fazzini, N; Ferguson, A P; Ferrero, A; Fick, B; Filevich, A; Filipčič, A; Fliescher, S; Fracchiolla, C E; Fraenkel, E D; Fröhlich, U; Fuchs, B; Gamarra, R F; Gambetta, S; García, B; Gámez, D García; Garcia-Pinto, D; Gascon, A; Gemmeke, H; Gesterling, K; Ghia, P L; Giaccari, U; Giller, M; Glass, H; Gold, M S; Golup, G; Albarracin, F Gomez; Berisso, M Gómez; Gonçalves, P; Gonzalez, D; Gonzalez, J G; Gookin, B; Góra, D; Gorgi, A; Gouffon, P; Gozzini, S R; Grashorn, E; Grebe, S; Griffith, N; Grigat, M; Grillo, A F; Guardincerri, Y; Guarino, F; Guedes, G P; Hague, J D; Hansen, P; Harari, D; Harmsma, S; Harton, J L; Haungs, A; Hebbeker, T; Heck, D; Herve, A E; Hojvat, C; Holmes, V C; Homola, P; Hörandel, J R; Horneffer, A; Hrabovský, M; Huege, T; Insolia, A; Ionita, F; Italiano, A; Jiraskova, S; Kadija, K; Kampert, K H; Karhan, P; Karova, T; Kasper, P; Kégl, B; Keilhauer, B; Keivani, A; Kelley, J L; Kemp, E; Kieckhafer, R M; Klages, H O; Kleifges, M; Kleinfeller, J; Knapp, J; Koang, D -H; Kotera, K; Krohm, N; Krömer, O; Kruppke-Hansen, D; Kuehn, F; Kuempel, D; Kulbartz, J K; Kunka, N; La Rosa, G; Lachaud, C; Lautridou, P; Leão, M S A B; Lebrun, D; Lebrun, P; de Oliveira, M A Leigui; Lemiere, A; Letessier-Selvon, A; Lhenry-Yvon, I; Link, K; López, R; Agüera, A Lopez; Louedec, K; Bahilo, J Lozano; Lucero, A; Ludwig, M; Lyberis, H; Macolino, C; Maldera, S; Mandat, D; Mantsch, P; Mariazzi, A G; Marin, V; Maris, I C; Falcon, H R Marquez; Marsella, G; Martello, D; Martin, L; Bravo, O Martínez; Mathes, H J; Matthews, J; Matthews, J A J; Matthiae, G; Maurizio, D; Mazur, P O; Medina-Tanco, G; Melissas, M; Melo, D; Menichetti, E; Menshikov, A; Mertsch, P; Meurer, C; Mičanović, S; Micheletti, M I; Miller, W; Miramonti, L; Mollerach, S; Monasor, M; Ragaigne, D Monnier; Montanet, F; Morales, B; Morello, C; Moreno, E; Moreno, J C; Morris, C; Mostafá, M; Moura., C A; Mueller, S; Muller, M A; Müller, G; Münchmeyer, M; Mussa, R; Navarra, G; Navarro, J L; Navas, S; Necesal, P; Nellen, L; Nelles, A; Nhung, P T; Nierstenhoefer, N; Nitz, D; Nosek, D; Nožka, L; Nyklicek, M; Oehlschläger, J; Olinto, A; Oliva, P; Olmos-Gilbaja, V M; Ortiz, M; Pacheco, N; Selmi-Dei, D Pakk; Palatka, M; Pallotta, J; Palmieri, N; Parente, G; Parizot, E; Parra, A; Parrisius, J; Parsons, R D; Pastor, S; Paul, T; Pech, M; Pȩkala, J; Pelayo, R; Pepe, I M; Perrone, L; Pesce, R; Petermann, E; Petrera, S; Petrinca, P; Petrolini, A; Petrov, Y; Petrovic, J; Pfendner, C; Phan, N; Piegaia, R; Pierog, T; Pieroni, P; Pimenta, M; Pirronello, V; Platino, M; Ponce, V H; Pontz, M; Privitera, P; Prouza, M; Quel, E J; Rautenberg, J; Ravel, O; Ravignani, D; Revenu, B; Ridky, J; Risse, M; Ristori, P; Rivera, H; Rivière, C; Rizi, V; Robledo, C; de Carvalho, W Rodrigues; Rodriguez, G; Martino, J Rodriguez; Rojo, J Rodriguez; Rodriguez-Cabo, I; Rodríguez-Frías, M D; Ros, G; Rosado, J; Rossler, T; Roth, M; Rouillé-d'Orfeuil, B; Roulet, E; Rovero, A C; Rühle, C; Salamida, F; Salazar, H; Salina, G; Sánchez, F; Santander, M; Santo, C E; Santos, E; Santos, E M; Sarazin, F; Sarkar, S; Sato, R; Scharf, N; Scherini, V; Schieler, H; Schiffer, P; Schmidt, A; Schmidt, F; Schmidt, T; Scholten, O; Schoorlemmer, H; Schovancova, J; Schovánek, P; Schroeder, F; Schulte, S; Schuster, D; Sciutto, S J; Scuderi, M; Segreto, A; Semikoz, D; Settimo, M; Shadkam, A; Shellard, R C; Sidelnik, I; Sigl, G; Śmiałkowski, A; Šmída, R; Snow, G R; Sommers, P; Sorokin, J; Spinka, H; Squartini, R; Stapleton, J; Stasielak, J; Stephan, M; Stutz, A; Suarez, F; Suomijärvi, T; Supanitsky, A D; Šuša, T; Sutherland, M S; Swain, J; Szadkowski, Z; Szuba, M; Tamashiro, A; Tapia, A; Taşcău, O; Tcaciuc, R; Tegolo, D; Thao, N T; Thomas, D; Tiffenberg, J; Timmermans, C; Tiwari, D K; Tkaczyk, W; Peixoto, C J Todero; Tomé, B; Tonachini, A; Travnicek, P; Tridapalli, D B; Tristram, G; Trovato, E; Tueros, M; Ulrich, R; Unger, M; Urban, M; Galicia, J F Valdés; Valiño, I; Valore, L; Berg, A M van den; Cárdenas, B Vargas; Vázquez, J R; Vázquez, R A; Veberič, D; Verzi, V; Videla, M; Villaseñor, L; Wahlberg, H; Wahrlich, P; Wainberg, O; Warner, D; Watson, A A; Weber, M; Weidenhaupt, K; Weindl, A; Westerhoff, S; Whelan, B J; Wieczorek, G; Wiencke, L; Wilczyńska, B; Wilczyński, H; Will, M; Williams, C; Winchen, T; Winders, L; Winnick, M G; Wommer, M; Wundheiler, B; Yamamoto, T; Younk, P; Yuan, G; Zamorano, B; Zas, E; Zavrtanik, D; Zavrtanik, M; Zaw, I; Zepeda, A; Ziolkowski, M; 10.1016/j.nima.2011.01.049

    2011-01-01

    The advent of the Auger Engineering Radio Array (AERA) necessitates the development of a powerful framework for the analysis of radio measurements of cosmic ray air showers. As AERA performs "radio-hybrid" measurements of air shower radio emission in coincidence with the surface particle detectors and fluorescence telescopes of the Pierre Auger Observatory, the radio analysis functionality had to be incorporated in the existing hybrid analysis solutions for fluoresence and surface detector data. This goal has been achieved in a natural way by extending the existing Auger Offline software framework with radio functionality. In this article, we lay out the design, highlights and features of the radio extension implemented in the Auger Offline framework. Its functionality has achieved a high degree of sophistication and offers advanced features such as vectorial reconstruction of the electric field, advanced signal processing algorithms, a transparent and efficient handling of FFTs, a very detailed simulation of...

  2. Mathematical analysis. 1. Functions of one variable

    Akbarov, Sergei

    2010-01-01

    This is a draft of the first volume of my textbook on mathematical analysis. The aim of the book is to suggest a university course of analysis as an axiomatic system. Any suggestions or remarks from readers are welcome.

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

    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…

  4. Gain-of-Function Research: Ethical Analysis.

    Selgelid, Michael J

    2016-08-01

    Gain-of-function (GOF) research involves experimentation that aims or is expected to (and/or, perhaps, actually does) increase the transmissibility and/or virulence of pathogens. Such research, when conducted by responsible scientists, usually aims to improve understanding of disease causing agents, their interaction with human hosts, and/or their potential to cause pandemics. The ultimate objective of such research is to better inform public health and preparedness efforts and/or development of medical countermeasures. Despite these important potential benefits, GOF research (GOFR) can pose risks regarding biosecurity and biosafety. In 2014 the administration of US President Barack Obama called for a "pause" on funding (and relevant research with existing US Government funding) of GOF experiments involving influenza, SARS, and MERS viruses in particular. With announcement of this pause, the US Government launched a "deliberative process" regarding risks and benefits of GOFR to inform future funding decisions-and the US National Science Advisory Board for Biosecurity (NSABB) was tasked with making recommendations to the US Government on this matter. As part of this deliberative process the National Institutes of Health commissioned this Ethical Analysis White Paper, requesting that it provide (1) review and summary of ethical literature on GOFR, (2) identification and analysis of existing ethical and decision-making frameworks relevant to (i) the evaluation of risks and benefits of GOFR, (ii) decision-making about the conduct of GOF studies, and (iii) the development of US policy regarding GOFR (especially with respect to funding of GOFR), and (3) development of an ethical and decision-making framework that may be considered by NSABB when analyzing information provided by GOFR risk-benefit assessment, and when crafting its final recommendations (especially regarding policy decisions about funding of GOFR in particular). The ethical and decision-making framework

  5. A quantitative comparison of functional MRI cluster analysis.

    Dimitriadou, Evgenia; Barth, Markus; Windischberger, Christian; Hornik, Kurt; Moser, Ewald

    2004-05-01

    The aim of this work is to compare the efficiency and power of several cluster analysis techniques on fully artificial (mathematical) and synthesized (hybrid) functional magnetic resonance imaging (fMRI) data sets. The clustering algorithms used are hierarchical, crisp (neural gas, self-organizing maps, hard competitive learning, k-means, maximin-distance, CLARA) and fuzzy (c-means, fuzzy competitive learning). To compare these methods we use two performance measures, namely the correlation coefficient and the weighted Jaccard coefficient (wJC). Both performance coefficients (PCs) clearly show that the neural gas and the k-means algorithm perform significantly better than all the other methods using our setup. For the hierarchical methods the ward linkage algorithm performs best under our simulation design. In conclusion, the neural gas method seems to be the best choice for fMRI cluster analysis, given its correct classification of activated pixels (true positives (TPs)) whilst minimizing the misclassification of inactivated pixels (false positives (FPs)), and in the stability of the results achieved. PMID:15182847

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

    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. …

  7. Shape Analysis Using the Auto Diffusion Function

    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 of the...... 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 a...

  8. A functional approach to movement analysis and error identification in sports and physical education.

    Hossner, Ernst-Joachim; Schiebl, Frank; Göhner, Ulrich

    2015-01-01

    In a hypothesis-and-theory paper, a functional approach to movement analysis in sports is introduced. In this approach, contrary to classical concepts, it is not anymore the "ideal" movement of elite athletes that is taken as a template for the movements produced by learners. Instead, movements are understood as the means to solve given tasks that in turn, are defined by to-be-achieved task goals. A functional analysis comprises the steps of (1) recognizing constraints that define the functional structure, (2) identifying sub-actions that subserve the achievement of structure-dependent goals, (3) explicating modalities as specifics of the movement execution, and (4) assigning functions to actions, sub-actions and modalities. Regarding motor-control theory, a functional approach can be linked to a dynamical-system framework of behavioral shaping, to cognitive models of modular effect-related motor control as well as to explicit concepts of goal setting and goal achievement. Finally, it is shown that a functional approach is of particular help for sports practice in the context of structuring part practice, recognizing functionally equivalent task solutions, finding innovative technique alternatives, distinguishing errors from style, and identifying root causes of movement errors. PMID:26441717

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

    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…

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

    Marschner, Karel; Musil, Stanislav; Dědina, Jiří

    2016-01-01

    Roč. 88, APR (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: 5.636, year: 2014

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

    Marschner, Karel; Musil, Stanislav; Dědina, Jiří

    2016-01-01

    Roč. 88, - (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: 5.636, year: 2014

  12. A Latent Growth Curve Analysis of Reading Achievement for an At-Risk Population

    Beecher, Constance C.

    2011-01-01

    The development of reading skills from age seven until age 19 was investigated for children who were referred for special education preschool intervention using latent growth curve analysis (n=206). Approximately one-third of the study sample did not require special education services after preschool, providing a natural comparison group. Reading…

  13. Trend Analysis on Mathematics Achievements: A Comparative Study Using TIMSS Data

    Ker, H. W.

    2013-01-01

    Research addressed the importance of mathematics education for the students' preparation to enter scientific and technological workforce. This paper utilized Trends in International Mathematics and Science Study (TIMSS) 2011 data to conduct a global comparative analysis on mathematics performance at varied International Benchmark levels. The…

  14. Verified Analysis of Functional Data Structures

    Nipkow, Tobias

    2016-01-01

    In recent work the author has analyzed a number of classical functional search tree and priority queue implementations with the help of the theorem prover Isabelle/HOL. The functional correctness proofs of AVL trees, red-black trees, 2-3 trees, 2-3-4 trees, 1-2 brother trees, AA trees and splay trees could be automated. The amortized logarithmic complexity of skew heaps, splay trees, splay heaps and pairing heaps had to be proved manually.

  15. Error Analysis in Nuclear Density Functional Theory

    Schunck, Nicolas; McDonnell, Jordan D.; Sarich, Jason; Wild, Stefan M.; Higdon, Dave

    2014-01-01

    Nuclear density functional theory (DFT) is the only microscopic, global approach to the structure of atomic nuclei. It is used in numerous applications, from determining the limits of stability to gaining a deep understanding of the formation of elements in the universe or the mechanisms that power stars and reactors. The predictive power of the theory depends on the amount of physics embedded in the energy density functional as well as on efficient ways to determine a small number of free pa...

  16. Estimating achievement from fame

    Simkin, M. V.; Roychowdhury, V. P.

    2009-01-01

    We report a method for estimating people's achievement based on their fame. Earlier we discovered (cond-mat/0310049) that fame of fighter pilot aces (measured as number of Google hits) grows exponentially with their achievement (number of victories). We hypothesize that the same functional relation between achievement and fame holds for other professions. This allows us to estimate achievement for professions where an unquestionable and universally accepted measure of achievement does not exi...

  17. Green's Function Analysis of Periodic Structures in Computational Electromagnetics

    Van Orden, Derek

    2011-12-01

    Periodic structures are used widely in electromagnetic devices, including filters, waveguiding structures, and antennas. Their electromagnetic properties may be analyzed computationally by solving an integral equation, in which an unknown equivalent current distribution in a single unit cell is convolved with a periodic Green's function that accounts for the system's boundary conditions. Fast computation of the periodic Green's function is therefore essential to achieve high accuracy solutions of complicated periodic structures, including analysis of modal wave propagation and scattering from external sources. This dissertation first presents alternative spectral representations of the periodic Green's function of the Helmholtz equation for cases of linear periodic systems in 2D and 3D free space and near planarly layered media. Although there exist multiple representations of the periodic Green's function, most are not efficient in the important case where the fields are observed near the array axis. We present spectral-spatial representations for rapid calculation of the periodic Green's functions for linear periodic arrays of current sources residing in free space as well as near a planarly layered medium. They are based on the integral expansion of the periodic Green's functions in terms of the spectral parameters transverse to the array axis. These schemes are important for the rapid computation of the interaction among unit cells of a periodic array, and, by extension, the complex dispersion relations of guided waves. Extensions of this approach to planar periodic structures are discussed. With these computation tools established, we study the traveling wave properties of linear resonant arrays placed near surfaces, and examine the coupling mechanisms that lead to radiation into guided waves supported by the surface. This behavior is especially important to understand the properties of periodic structures printed on dielectric substrates, such as periodic

  18. Identification of hidden failures in process control systems through function-oriented system analysis

    Jalashgar, A.

    1997-05-01

    The main subject of this thesis is to identify hidden failures in process control systems by developing and using a function-oriented system analysis method. Qualitative failure analysis and the characteristics of the classical failure analysis methods and function-oriented modelling methods are covered. The general limitations of the methods in connection with the identification and representation of hidden failures are discussed. The discussion has led to the justification of developing and using a function-oriented system analysis method to identify and represent the capabilities of the system components, which realize different sets of functions in connection with different sets of goals that the system must achieve. A terminology is introduced to define the basic aspects of technical systems including goals, functions, capabilities and physical structure. A function-oriented system analysis method using this terminology and a tailored combination of the two function-oriented modelling approaches, is also introduced. It is then explained how the method can be applied in the identification and representation of hidden failures. The building blocks of a knowledge-oriented system to perform the diagnosis on the basis of the developed method are equally described. A prototype of the knowledge-based system is developed to demonstrate the applicability of the function-oriented system analysis method and the knowledge-based system. The prototype is implemented within the object-oriented software environment G2. (au) 65 ills., 32 refs.

  19. A meta-analysis of morphological interventions: effects on literacy achievement of children with literacy difficulties.

    Goodwin, Amanda P; Ahn, Soyeon

    2010-12-01

    This study synthesizes 79 standardized mean-change differences between control and treatment groups from 17 independent studies, investigating the effect of morphological interventions on literacy outcomes for students with literacy difficulties. Average total sample size ranged from 15 to 261 from a wide range of grade levels. Overall, morphological instruction showed a significant improvement on literacy achievement (d = 0.33). Specifically, its effect was significant on several literacy outcomes such as phonological awareness (d = 0.49), morphological awareness (d = 0.40), vocabulary (d = 0.40), reading comprehension (d = 0.24), and spelling (d = 0.20). Morphological instruction was particularly effective for children with reading, learning, or speech and language disabilities, English language learners, and struggling readers, suggesting the possibility that morphological instruction can remediate phonological processing challenges. Other moderators were also explored to explain differences in morphological intervention effects. These findings suggest students with literacy difficulties would benefit from morphological instruction. PMID:20799003

  20. Achieving Symmetry in Unilateral DIEP Flap Breast Reconstruction: An Analysis of 126 Cases over 3 Years.

    Wang, Tao; He, Jinguang; Xu, Hua; Ma, Sunxiang; Dong, Jiasheng

    2015-02-01

    Many patients who prefer breast reconstruction by a deep inferior epigastric artery perforator (DIEP) flap often lack skin laxity at the lower abdomen. Recreating a symmetrical breast with various degrees of ptosis is one of the most difficult procedures. In this report, varied DIEP flap shapes were precisely designed on the basis of normal breast ptosis. The reconstructive outcomes were quantitatively evaluated for asymmetry of footprint, volume, breast projection, and nipple position by a 3-dimensional scanning system. One hundred twenty-six cases of unilateral DIEP flap breast reconstruction were successfully performed from January 2009 to July 2012. The maximal flap width ranged from 7.5 to 10.5 cm (mean, 9.0 cm), and the flap length ranged from 28 to 38 cm (mean, 32.5 cm). The discrepancy of the footprint and nipple position did not differ significantly between the reconstructed and normal breasts. However, the reconstructed side had significantly higher breast volume and projection. For patients with a relatively tight abdomen, the flap design and shaping approach we propose achieves a maximal symmetrical outcome and should be considered as a good and reliable option. PMID:25409622

  1. Three Systems of Insular Functional Connectivity Identified with Cluster Analysis

    Deen, Ben; Pitskel, Naomi B.; Kevin A. Pelphrey

    2010-01-01

    Despite much research on the function of the insular cortex, few studies have investigated functional subdivisions of the insula in humans. The present study used resting-state functional connectivity magnetic resonance imaging (MRI) to parcellate the human insular lobe based on clustering of functional connectivity patterns. Connectivity maps were computed for each voxel in the insula based on resting-state functional MRI (fMRI) data and segregated using cluster analysis. We identified 3 ins...

  2. Accounting for Achievement in Athens: A Count Data Analysis of National Olympic Performance

    Glen Roberts

    2006-01-01

    We model summer Olympic medal counts using count data analysis. The advantage of this methodology is its explicit recognition of the discrete non-negative form of the dependent variable; i.e. the total number of medals won by a nation in a summer Olympiad. Using data from the most recent 2004 Summer Games in Athens, Poisson and negative binomial count data regression models are constructed. The chosen model is negative binomial and attaches statistical significance to Gross Domestic Product (...

  3. Science Learning: A path analysis of its links with reading comprehension, question-asking in class and science achievement

    Cano, Francisco; García, Ángela; Berbén, A. B. G.; Justicia, Fernando

    2014-07-01

    The purpose of this research was to build and test a conceptual model of the complex interrelationships between students' learning in science (learning approaches and self-regulation), their reading comprehension, question-asking in class and science achievement. These variables were measured by means of a test and a series of questionnaires administered to 604 ninth-grade students, and the data collected were analysed using a correlational, cross-sectional design. Results of a path analysis indicated that (a) students' self-regulated and intentional knowledge-constructing activity (self-regulated strategy use, deep approach and knowledge-building) were what chiefly accounted for their question-asking in class; (b) question-asking (high and low levels) was related directly to reading comprehension and indirectly, through its contribution to the this, to academic achievement; (c) reading comprehension was directly and negatively associated with surface approach and indirectly and positively related to deep approach and knowledge-building; and (d) some of these variables, particularly reading comprehension, accounted for academic achievement in science. This model explained nearly 30% of the variance in academic achievement and provided a substantial and distinctive insight into the web of interrelationships among these variables. Implications for future research and science teaching and learning are discussed (e.g. the importance of supporting students' efforts to learn science in a meaningful, active and self-regulated way and of improving their reading comprehension).

  4. Feedwater heaters functional analysis at Embalse NGS

    This study is concerned with the analysis or feedwater heaters, to detect actual failure or a bad trend beyond acceptable operating limits. When these situations are identified, preventive or corrective maintenance must be done. 2 tabs., 14 figs

  5. [Partial lease squares approach to functional analysis].

    Preda, C

    2006-01-01

    We extend the partial least squares (PLS) approach to functional data represented in our models by sample paths of stochastic process with continuous time. Due to the infinite dimension, when functional data are used as a predictor for linear regression and classification models, the estimation problem is an ill-posed one. In this context, PLS offers a simple and efficient alternative to the methods based on the principal components of the stochastic process. We compare the results given by the PLS approach and other linear models using several datasets from economy, industry and medical fields. PMID:17124795

  6. Error Analysis in Nuclear Density Functional Theory

    Schunck, Nicolas; Sarich, Jason; Wild, Stefan M; Higdon, Dave

    2014-01-01

    Nuclear density functional theory (DFT) is the only microscopic, global approach to the structure of atomic nuclei. It is used in numerous applications, from determining the limits of stability to gaining a deep understanding of the formation of elements in the universe or the mechanisms that power stars and reactors. The predictive power of the theory depends on the amount of physics embedded in the energy density functional as well as on efficient ways to determine a small number of free parameters and solve the DFT equations. In this article, we discuss the various sources of uncertainties and errors encountered in DFT and possible methods to quantify these uncertainties in a rigorous manner.

  7. [A neuropsychological analysis of the lack of school achievement among the pupils of mass schools].

    Semenovich, A V; Ukrikhin, S O; Tsyganok, A A

    1992-01-01

    We describe typology of neuropsychological organization underlying the cognitive difficulties of 6-10-years-old schoolchildren. In 10-20% subjects under study was revealed a deviant ontogenetic development with minimal cerebral disfunction, accompanied by systemic insufficiency of certain mental functions. Ontogenetic development of left-handed subjects as well as of right-handed ones with partial and/or family left-handedness was found to be atypical. About 80% of right-handed subjects with normal cognitive development displayed disorganization of some components of mental activity as a consequence of heterochronous morphofunctional maturation of the brain. Specific correction programs should be developed for each group of children under study. PMID:1332283

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

    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...

  9. Analysis of radial basis function interpolation approach

    Zou You-Long; Hu Fa-Long; Zhou Can-Can; Li Chao-Liu; Dunn Keh-Jim

    2013-01-01

    The radial basis function (RBF) interpolation approach proposed by Freedman is used to solve inverse problems encountered in well-logging and other petrophysical issues. The approach is to predict petrophysical properties in the laboratory on the basis of physical rock datasets, which include the formation factor, viscosity, permeability, and molecular composition. However, this approach does not consider the effect of spatial distribution of the calibration data on the interpolation result. This study proposes a new RBF interpolation approach based on the Freedman's RBF interpolation approach, by which the unit basis functions are uniformly populated in the space domain. The inverse results of the two approaches are comparatively analyzed by using our datasets. We determine that although the interpolation effects of the two approaches are equivalent, the new approach is more flexible and beneficial for reducing the number of basis functions when the database is large, resulting in simplification of the interpolation function expression. However, the predicted results of the central data are not sufficiently satisfied when the data clusters are far apart.

  10. Covariance analysis for Energy Density Functionals and instabilities

    Roca-Maza, X; Colò, G

    2014-01-01

    We present the covariance analysis of two successful nuclear energy density functionals, (i) a non-relativistic Skyrme functional built from a zero-range effective interaction, and (ii) a relativistic nuclear energy density functional based on density dependent meson-nucleon couplings. Such a study is crucial for assessing the information content of an observable when predicted by a given model. The covariance analysis is a useful tool for understanding the limitations of a model, the correlations between observables and the statistical errors. We also provide a brief review, partly connected with the covariance analysis, of some instabilities displayed by several energy density functionals of current use in nuclear physics.

  11. Continuous nowhere differentiable functions the monsters of analysis

    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...

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

    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

  13. Use of model calibration to achieve high accuracy in analysis of computer networks

    Frogner, Bjorn; Guarro, Sergio; Scharf, Guy

    2004-05-11

    A system and method are provided for creating a network performance prediction model, and calibrating the prediction model, through application of network load statistical analyses. The method includes characterizing the measured load on the network, which may include background load data obtained over time, and may further include directed load data representative of a transaction-level event. Probabilistic representations of load data are derived to characterize the statistical persistence of the network performance variability and to determine delays throughout the network. The probabilistic representations are applied to the network performance prediction model to adapt the model for accurate prediction of network performance. Certain embodiments of the method and system may be used for analysis of the performance of a distributed application characterized as data packet streams.

  14. Application of Lie group analysis to functional differential equations

    Oberlack, Martin; Waclawczyk, Marta

    2006-01-01

    In the present paper the classical point symmetry analysis is extended from partial differential to functional differential equations with functional derivatives. In order to perform the group analysis and deal with the functional derivatives we extend the quantities such as infinitesimal transformations, prolongations and invariant solutions. For the sake of example the procedure is applied to the continuum limit of the heat equation. The method can further lead to significant applications i...

  15. Functional Foods Baseline and Requirements Analysis

    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.

  16. Quark model analysis of the Sivers function

    Courtoy, A; Scopetta, S; Vento, V

    2008-01-01

    A formalism is developed aimed at evaluating the Sivers function entering single spin asymmetries. The approach is well suited for calculations which use constituent quark models to describe the structure of the nucleon. A non-relativistic approximation of the scheme is performed to calculate the Sivers function using the Isgur-Karl model. The results we have obtained are consistent with a sizable Sivers effect, with an opposite sign for the u and d flavors. This pattern is in agreement with the one found analysing, in the same model, the impact parameter dependent generalized parton distributions. Although a consistent QCD evolution of the results from the momentum scale of the model to the experimental one is not yet possible, an estimate shows that a reasonable agreement with the available data is obtained once the evolution of the model results is performed.

  17. Heap Reference Analysis for Functional Programs

    Karkare, Amey; Khedker, Uday

    2007-01-01

    Current garbage collectors leave a lot of garbage uncollected because they conservatively approximate liveness by reachability from program variables. In this paper, we describe a sequence of static analyses that takes as input a program written in a first-order, eager functional programming language, and finds at each program point the references to objects that are guaranteed not to be used in the future. Such references are made null by a transformation pass. If this makes the object unreachable, it can be collected by the garbage collector. This causes more garbage to be collected, resulting in fewer collections. Additionally, for those garbage collectors which scavenge live objects, it makes each collection faster. The interesting aspects of our method are both in the identification of the analyses required to solve the problem and the way they are carried out. We identify three different analyses -- liveness, sharing and accessibility. In liveness and sharing analyses, the function definitions are analy...

  18. Error analysis in nuclear density functional theory

    Nuclear density functional theory (DFT) is the only microscopic, global approach to the structure of atomic nuclei. It is used in numerous applications, from determining the limits of stability to gaining a deep understanding of the formation of elements in the Universe or the mechanisms that power stars and reactors. The predictive power of the theory depends on the amount of physics embedded in the energy density functional as well as on efficient ways to determine a small number of free parameters and solve the DFT equations. In this article, we discuss the various sources of uncertainties and errors encountered in DFT and possible methods to quantify these uncertainties in a rigorous manner. (paper)

  19. Evaluating the function of applied behavior analysis a bibliometric analysis.

    Critchfield, Thomas S

    2002-01-01

    Analysis of scholarly citations involving behavioral journals reveals that, consistent with its mission, applied behavior analysis research frequently references the basic behavioral literature but, as some have suspected, exerts narrow scholarly influence.

  20. The Relationships among Executive Functions, Metacognitive Skills and Educational Achievement in 5 and 7 Year-Old Children

    Bryce, Donna; Whitebread, David; Szucs, Dénes

    2015-01-01

    The relationship between executive functions (inhibitory control and working memory) and metacognitive skills was investigated by applying correlational and regression analyses to data collected from two groups of children. To date, research in this area has lacked a theoretical model for considering these relationships; here we propose and test…

  1. Maternal work early in the lives of children and its distal associations with achievement and behavior problems: a meta-analysis.

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

    2010-11-01

    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 significantly associated with later achievement or internalizing/externalizing behaviors. The exceptions were for teacher ratings of achievement and internalizing behaviors: Employment was associated with higher achievement and fewer internalizing behaviors. Substantial heterogeneity among the effect sizes prompted examination of moderators. Sample-level moderator analyses pointed to the importance of socioeconomic and contextual variables, with early employment most beneficial when families were challenged by single parenthood or welfare status. Maternal employment during Years 2 and 3 was associated with higher achievement. Some moderator analyses indicated negative effects of employment for middle-class and 2-parent families and for very early employment (child's first year). Associations also differed depending on whether effect sizes were adjusted for contextual variables. Only 1 study-level moderator (sex of first author) was significant after adjusting for other moderators. The small effect size and primarily nonsignificant results for main effects of early maternal employment should allay concerns about mothers working when children are young. However, negative findings associated with employment during the child's first year are compatible with calls for more generous maternal leave policies. Results highlight the importance of social context for identifying under which conditions and for which subgroups early maternal employment is associated with positive or negative child outcomes. PMID:20919797

  2. A functional approach to movement analysis and error identification in sports and physical education

    Hossner, Ernst-Joachim; Schiebl, Frank; Göhner, Ulrich

    2015-01-01

    In a hypothesis-and-theory paper, a functional approach to movement analysis in sports is introduced. In this approach, contrary to classical concepts, it is not anymore the “ideal” movement of elite athletes that is taken as a template for the movements produced by learners. Instead, movements are understood as the means to solve given tasks that in turn, are defined by to-be-achieved task goals. A functional analysis comprises the steps of (1) recognizing constraints that define the functio...

  3. Functional Analysis and Functional Communication Training in the Classroom for Three Children with Angelman Syndrome

    Radstaake, M.; Didden, H.C.M.; Lang, R.; O'Reilly, M.F.; Sigafoos, J.; Lancioni, G.E.; Appels, N.; Curfs, L.M.G

    2013-01-01

    Effectiveness of functional analysis (FA) and functional communication training (FCT) on challenging behavior was assessed in three children with Angelman syndrome (AS). Analogue FA conditions were used to assess the behavioral function of the challenging behavior. FA and FCT protocols were administ

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

    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

  5. The significance and future of functional analysis methodologies

    Mace, F. Charles

    1994-01-01

    Iwata, Dorsey, Slifer, Bauman, and Richman (1982) presented the first comprehensive and standardized methodology for identifying operant functions of aberrant behavior. This essay discusses the significance functional analysis has had for applied behavior analysis. The methodology has lessened the field's reliance on default technologies and promoted analysis of environment—behavior interactions maintaining target responses as the basis for selecting treatments. It has also contributed to the...

  6. Density functional and neural network analysis

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

    1997-01-01

    dichroism (VCD) intensities. The large changes due to hydration on the structures, relative stability of conformers, and in the VA and VCD spectra observed experimentally are reproduced by the DFT calculations. Furthermore a neural network was constructed for reproducing the inverse scattering data (infer...... the structural coordinates from spectroscopic data) that the DFT method could produce. Finally the neural network performances are used to monitor a sensitivity or dependence analysis of the importance of secondary structures....

  7. Functional Analysis of P4-ATPases

    Theorin, Lisa

    emerged as responsible for the inward transport of lipids. This inward transport is responsible for maintenance of the lipid asymmetry, which in turn has been associated with essential cellular processes. Even though these pumps are essential for eukaryotic life they are relatively uncharacterized. Yeast...... 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...

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

    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

  9. Analysis of Longitudinal Data with Semiparametric Estimation of Covariance Function

    Fan, Jianqing; Huang, Tao; LI, Runze

    2007-01-01

    Improving efficiency for regression coefficients and predicting trajectories of individuals are two important aspects in analysis of longitudinal data. Both involve estimation of the covariance function. Yet, challenges arise in estimating the covariance function of longitudinal data collected at irregular time points. A class of semiparametric models for the covariance function is proposed by imposing a parametric correlation structure while allowing a nonparametric variance function. A kern...

  10. A Bivariate Extension to Traditional Empirical Orthogonal Function Analysis

    Nielsen, Allan Aasbjerg; Hilger, Klaus Baggesen; Andersen, Ole Baltazar;

    2002-01-01

    with 24 variables. This type of analysis can be considered as an extension of traditional empirical orthogonal function (EOF) analysis which provides a marginal analysis of one variable over time. The motivation for using a bivariate extention stems from the fact that the two fields are interrelated as...

  11. Photonic encryption : modeling and functional analysis of all optical logic.

    Tang, Jason D.; Schroeppel, Richard Crabtree; Robertson, Perry J.

    2004-10-01

    With the build-out of large transport networks utilizing optical technologies, more and more capacity is being made available. Innovations in Dense Wave Division Multiplexing (DWDM) and the elimination of optical-electrical-optical conversions have brought on advances in communication speeds as we move into 10 Gigabit Ethernet and above. Of course, there is a need to encrypt data on these optical links as the data traverses public and private network backbones. Unfortunately, as the communications infrastructure becomes increasingly optical, advances in encryption (done electronically) have failed to keep up. This project examines the use of optical logic for implementing encryption in the photonic domain to achieve the requisite encryption rates. This paper documents the innovations and advances of work first detailed in 'Photonic Encryption using All Optical Logic,' [1]. A discussion of underlying concepts can be found in SAND2003-4474. In order to realize photonic encryption designs, technology developed for electrical logic circuits must be translated to the photonic regime. This paper examines S-SEED devices and how discrete logic elements can be interconnected and cascaded to form an optical circuit. Because there is no known software that can model these devices at a circuit level, the functionality of S-SEED devices in an optical circuit was modeled in PSpice. PSpice allows modeling of the macro characteristics of the devices in context of a logic element as opposed to device level computational modeling. By representing light intensity as voltage, 'black box' models are generated that accurately represent the intensity response and logic levels in both technologies. By modeling the behavior at the systems level, one can incorporate systems design tools and a simulation environment to aid in the overall functional design. Each black box model takes certain parameters (reflectance, intensity, input response), and models the optical ripple

  12. Functionalized membrane supports for covalent protein microsequence analysis

    Coull, J.M.; Pappin, D.J.; Mark, J.; Aebersold, R.; Koester, H. (MilliGen/Biosearch, Division of Millipore, Burlington, MA (USA))

    1991-04-01

    Methods were developed for high yield covalent attachment of peptides and proteins to isothiocyanate and arylamine-derivatized poly(vinylidene difluoride) membranes for solid-phase sequence analysis. Solutions of protein or peptide were dried onto 8-mm membrane disks such that the functional groups on the surface and the polypeptide were brought into close proximity. In the case of the isothiocyanate membrane, reaction between polypeptide amino groups and the surface isothiocyanate moieties was promoted by application of aqueous N-methylmorpholine. Attachment of proteins and peptides to the arylamine surface was achieved by application of water-soluble carbodiimide in a pH 5.0 buffer. Edman degradation of covalently bound polypeptides was accomplished with initial and repetitive sequence yields ranging from 33 to 75% and 88.5 to 98.5%, respectively. The yields were independent of the sample load (20 pmol to greater than 1 nmol) for either surface. Significant loss of material was not observed when attachment residues were encountered during sequence runs. Application of bovine beta-lactoglobulin A chain, staphylococcus protein A, or the peptide melittin to the isothiocyanate membrane allowed for extended N-terminal sequence identification (35 residues from 20 pmol of beta-lactoglobulin). A number of synthetic and naturally occurring peptides were sequenced to the C-terminal residue following attachment to the arylamine surface. In one example, 10 micrograms of bovine alpha-casein was digested with staphylococcal protease V8 and the peptides were separated by reverse-phase chromatography. Peptide fractions were then directly applied to arylamine membrane disks for covalent sequence analysis. From as little as 2 pmol of initial signal it was possible to determine substantial sequence information (greater than 10 residues).

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

    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.

  14. Bioprospecting and Functional Analysis of Neglected Environments

    Vogt, Josef Korbinian

    of functional relationships in single organisms and environments. The sequencing data can also be mined for novel compounds and enzymes. The process of exploiting biological resources for commercial use is known as bioprospecting. This PhD thesis describes the concept of bioprospecting in the post genomic era...... 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......Advances in Next Generation Sequencing technologies made it possible to sequence DNA extracted from environments and organisms at a reasonable cost allowing research fields such as metagenomics and whole transcriptome sequencing (RNA-seq) to be established. These techniques allow the study...

  15. Function analysis for waste information systems

    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

  16. Analysis of mammalian ras effector functions

    Over the last 8 years or so, a great deal of effort has been put into understanding the biochemical function of the three mammalian p21ras proteins. Single-amino-acid alterations in these three proteins have been detected in 25-50% of some types of human cancers, and it is believed that the somatic mutational event that generated these amino acid substitutions is an important step in the development of these malignancies. The authors report here some of their efforts to look for a possible target for p21ras regulation. In a series of experiments, they have looked for ras-induced changes in another known second-messenger system, namely, the breakdown of phosphatidylinositol (PtdIns) lipids by a phospholipase C. The results lead to the conclusion that NIH-3T3 cells transformed by oncogenic p21ras have an increased basal phospholipase C activity. In a different approach to identify a target for ras, they have analyzed its interaction with the recently described cellular protein, GAP. They have shown that this protein appears to bind ras at a site previously identified as the effector site, strongly implicating GAP as the target protein for p21ras regulation

  17. Atomic Pair Distribution Function (PDF) Analysis of Ferroelectric Materials

    Yoneda, Yasuhiro

    Atomic Pair Distribution Function (PDF) is a one of local structure analysis. PDF analysis is a powerful method for ferroelectrics in which domain structure exists. A deviation arises between average and local structures under the influence of the ferroelectric domain configuration. The local structure analysis of BaTiO3 and BiMg0.5Ti0.5O3 is shown as an example of application to the ferroelectric materials of PDF analysis.

  18. Magnetothermoelastic creep analysis of functionally graded cylinders

    Loghman, A., E-mail: aloghman@kashanu.ac.i [Department of Mechanical Engineering, Faculty of Engineering, University of Kashan, Kashan 87317-51167 (Iran, Islamic Republic of); Ghorbanpour Arani, A.; Amir, S. [Department of Mechanical Engineering, Faculty of Engineering, University of Kashan, Kashan 87317-51167 (Iran, Islamic Republic of); Vajedi, A. [Department of Mechanical Engineering, Islamic Azad University, Arak Branch, Arak (Iran, Islamic Republic of)

    2010-07-15

    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.

  19. Bayesian analysis for EMP damaged function based on Weibull distribution

    Weibull distribution is one of the most commonly used statistical distribution in EMP vulnerability analysis. In the paper, the EMP damage function based on Weibull distribution of solid state relays was solved by bayesian computation using gibbs sampling algorithm. (authors)

  20. Quantitative analyses and modelling to support achievement of the 2020 goals for nine neglected tropical diseases Quantitative analysis of strategies to achieve the 2020 goals for neglected tropical diseases: Where are we now?

    T.D. Hollingsworth (T. Déirdre); E.R. Adams (Emily R.); R.M. Anderson (Roy M.); K. Atkins (Katherine); S. Bartsch (Sarah); M-G. Basáñez (María-Gloria); M. Behrend (Matthew); D.J. Blok (David); L.A.C. Chapman (Lloyd A. C.); L.E. Coffeng (Luc); O. Courtenay (Orin); R.E. Crump (Ron E.); S.J. de Vlas (Sake); A.P. Dobson (Andrew); L. Dyson (Louise); H. Farkas (Hajnal); A.P. Galvani (Alison P.); M. Gambhir (Manoj); D. Gurarie (David); M.A. Irvine (Michael A.); S. Jervis (Sarah); M.J. Keeling (Matt J.); L. Kelly-Hope (Louise); C. King (Charles); B.Y. Lee (Bruce Y.); E.A. le Rutte (Epke A.); T.M. Lietman (Thomas M.); M. Ndeffo-Mbah (Martial); G.F. Medley (Graham F.); E. Michael (Edwin); A. Pandey (Abhishek); J.K. Peterson (Jennifer K.); A. Pinsent (Amy); T.C. Porco (Travis C.); J.H. Richardus (Jan Hendrik); L. Reimer (Lisa); K.S. Rock (Kat S.); B.K. Singh (Brajendra K.); W.A. Stolk (Wilma); S. Swaminathan (Subramanian); S.J. Torr (Steve J.); J. Townsend (Jeffrey); J. Truscott (James); M. Walker (Martin); A. Zoueva (Alexandra)

    2015-01-01

    textabstractQuantitative analysis and mathematical models are useful tools in informing strategies to control or eliminate disease. Currently, there is an urgent need to develop these tools to inform policy to achieve the 2020 goals for neglected tropical diseases (NTDs). In this paper we give an ov

  1. Alternative Analysis of Classifications of Universal Managerial Functions

    Chornii Heorhii M.

    2014-03-01

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

  2. Study of incomplete fusion dynamics: analysis of excitation functions

    With a view to study complete fusion and incomplete fusion in several projectile target combinations, a programme of precise measurements of cross-sections and analysis of excitation functions has been undertaken. As a part of the ongoing programme, excitation functions for six reactions in 16O + 169Tm system have been measured

  3. An introduction with medical applications to functional data analysis

    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...

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

    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 ...

  5. 使用华为交换机实现简单路由功能%Using Huawei Switch to Achieve a Simple Routing Function

    梁泉

    2011-01-01

    To save costs, the company whose network scale is not large, can be achieved by using Huawei switches to achieve a simple routing function, save the high cost of purchasing router. At the same time, makes backup for the network settings, and allows the system when in the partial failure, can automatically switch to the normal working state.%为节约成本,对网络规模不是很大的公司,可以通过华为交换机实现简单路由功能,节省购买路由器的高额成本。同时,对网络进行备份设置,使系统在出现局部故障时。能自动切换到正常工作状态。

  6. FUNCTIONAL ANALYSIS IN PUBLIC SCHOOLS: A SUMMARY OF 90 FUNCTIONAL ANALYSES

    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 analyses conducted in public school settings from 2006 through 2009 for 69 students. Specifically, we present data on gender, age, race, diagnosis, topo...

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

    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. Rasch analysis of inattentive, hyperactive and impulsive behaviour in young children and the link with academic achievement.

    Merrell, Christine; Tymms, Peter

    2005-01-01

    The Attention Deficit Hyperactivity Disorder (ADHD) criteria from the American Psychiatric Association's Diagnostic and Statistical Manual of Mental Disorders were used to assess a large sample of children at the end of their first year at school in England. These data were explored using Rasch measurement and the measures for the items together with their frequencies are reported. The data were further analysed in three ways: a) The results were compared with a previous similar analysis of college students. b) A principal components analysis of the item residuals from the Rasch analysis was conducted. c) The measures were linked to reading and mathematics attainment assessed at three different time points. The exploration supported previous work and theoretical positions, and in doing so raised issues about the appropriateness of the use of the criteria across all ages. It also suggested that one of the currently recognised ADHD sub-types could be further sub-divided into verbal and physical hyperactivity. The links to academic achievement raised questions about the integrity of the currently recognised ADHD sub-types and the paper calls for further investigations. PMID:15701941

  9. Apply Functional Modelling to Consequence Analysis in Supervision Systems

    Zhang, Xinxin; Lind, Morten; Gola, Giulio; Ravn, Ole

    2013-01-01

    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...... 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 will...

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

    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

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

    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.

  12. A Temporal Extension to Traditional Empirical Orthogonal Function Analysis

    Nielsen, Allan Aasbjerg; Hilger, Klaus Baggesen; Andersen, Ole Baltazar;

    2002-01-01

    This paper describes the application of temporal maximum autocorrelation factor analysis to global monthly mean values of 1996-1997 sea surface temperature (SST) and sea surface height (SSH) data. This type of analysis can be considered as an extension of traditional empirical orthogonal function...... (EOF) analysis, which provides a non-temporal analysis of one variable over time. The temporal extension proves its strength in separating the signals at different periods in an analysis of relevant oceanographic properties related to one of the largest El Niño events ever recorded....

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

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

    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 pe...

  14. Linear functional analysis an application-oriented introduction

    Alt, Hans Wilhelm

    2016-01-01

    This book gives an introduction to Linear Functional Analysis, a synthesis of algebra, topology, and analysis. In addition to the basic theory it explains operator theory, distributions, Sobolev spaces, and many other things. The text is self-contained and includes all proofs, as well as many exercises, most of them with solutions. Moreover, there are a number of appendices, for example on Lebesgue integration theory. A complete introduction to the subject, Linear Functional Analysis will be particularly useful to readers who want to quickly get to the key statements and who are interested in applications to differential equations.

  15. Molecular characterization and functional analysis of elite genes in wheat and its related species

    Jirui Wang; Pengfei Qi; Yuming Wei; Dengcai Liu; George Fedak; Youliang Zheng

    2010-12-01

    The tribe Triticeae includes major cereal crops (bread wheat, durum wheat, triticale, barley and rye), as well as abundant forage and lawn grasses. Wheat and its wild related species possess numerous favourable genes for yield improvement, grain quality enhancement, biotic and abiotic stress resistance, and constitute a giant gene pool for wheat improvement. In recent years, significant progress on molecular characterization and functional analysis of elite genes in wheat and its related species have been achieved. In this paper, we review the cloned functional genes correlated with grain quality, biotic and abiotic stress resistance, photosystem and nutrition utilization in wheat and its related species.

  16. Highly Functional TNTs with Superb Photocatalytic, Optical, and Electronic Performance Achieving Record PV Efficiency of 10.1% for 1D-Based DSSCs.

    Qadir, Muhammad Bilal; Li, Yuewen; Sahito, Iftikhar Ali; Arbab, Alvira Ayoub; Sun, Kyung Chul; Mengal, Naveed; Memon, Anam Ali; Jeong, Sung Hoon

    2016-09-01

    Different nanostructures of TiO2 play an important role in the photocatalytic and photoelectronic applications. TiO2 nanotubes (TNTs) have received increasing attention for these applications due to their unique physicochemical properties. Focusing on highly functional TNTs (HF-TNTs) for photocatalytic and photoelectronic applications, this study describes the facile hydrothermal synthesis of HF-TNTs by using commercial and cheaper materials for cost-effective manufacturing. To prove the functionality and applicability, these TNTs are used as scattering structure in dye-sensitized solar cells (DSSCs). Photocatalytic, optical, Brunauer-Emmett-Teller (BET), electrochemical impedance spectrum, incident-photon-to-current efficiency, and intensity-modulated photocurrent spectroscopy/intensity-modulated photovoltage spectroscopy characterizations are proving the functionality of HF-TNTs for DSSCs. HF-TNTs show 50% higher photocatalytic degradation rate and also 68% higher dye loading ability than conventional TNTs (C-TNTs). The DSSCs having HF-TNT and its composite-based multifunctional overlayer show effective light absorption, outstanding light scattering, lower interfacial resistance, longer electron lifetime, rapid electron transfer, and improved diffusion length, and consequently, J SC , quantum efficiency, and record photoconversion efficiency of 10.1% using commercial N-719 dye is achieved, for 1D-based DSSCs. These new and highly functional TNTs will be a concrete fundamental background toward the development of more functional applications in fuel cells, dye-sensitized solar cells, Li-ion batteries, photocatalysis process, ion-exchange/adsorption process, and photoelectrochemical devices. PMID:27432775

  17. Advanced functionality for radio analysis in the Offline software framework of the Pierre Auger Observatory

    The advent of the Auger Engineering Radio Array (AERA) necessitates the development of a powerful framework for the analysis of radio measurements of cosmic ray air showers. As AERA performs 'radio-hybrid' measurements of air shower radio emission in coincidence with the surface particle detectors and fluorescence telescopes of the Pierre Auger Observatory, the radio analysis functionality had to be incorporated in the existing hybrid analysis solutions for fluorescence and surface detector data. This goal has been achieved in a natural way by extending the existing Auger Offline software framework with radio functionality. In this article, we lay out the design, highlights and features of the radio extension implemented in the Auger Offline framework. Its functionality has achieved a high degree of sophistication and offers advanced features such as vectorial reconstruction of the electric field, advanced signal processing algorithms, a transparent and efficient handling of FFTs, a very detailed simulation of detector effects, and the read-in of multiple data formats including data from various radio simulation codes. The source code of this radio functionality can be made available to interested parties on request.

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

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

    2016-08-01

    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. PMID:27317328

  19. Achieving diagnosis by consensus

    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.

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

    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)

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

    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.

  2. Alternative Analysis of Classifications of Universal Managerial Functions

    Chornii Heorhii M.; Mishchenko Ivan A.; Faychuk Оlexandr M.

    2014-01-01

    The article is devoted to theoretical justification of classification of general managerial functions. Critical analysis of scientific works of eminent specialists in management gave a possibility to find out that classification of functions of the subject of management should be based on the objective cyclic change of the state of information by three stages: appearance of information, its concentration and transformation into a programme of specific actions. The article offers a classificat...

  3. Using Operational Analysis to Improve Access to Pulmonary Function Testing

    Ada Ip; Raymond Asamoah-Barnieh; Diane P. Bischak; Warren J Davidson; W. Ward Flemons; Pendharkar, Sachin R.

    2016-01-01

    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 utilizati...

  4. Advanced Techniques in Pulmonary Function Test Analysis Interpretation and Diagnosis

    Gildea, T.J.; Bell, C. William

    1980-01-01

    The Pulmonary Functions Analysis and Diagnostic System is an advanced clinical processing system developed for use at the Pulmonary Division, Department of Medicine at the University of Nebraska Medical Center. The system generates comparative results and diagnostic impressions for a variety of routine and specialized pulmonary functions test data. Routine evaluation deals with static lung volumes, breathing mechanics, diffusing capacity, and blood gases while specialized tests include lung c...

  5. Apply Functional Modelling to Consequence Analysis in Supervision Systems

    Zhang, Xinxin; Lind, Morten; Gola, Giulio; Ravn, Ole

    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 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 cons...

  6. Network stratification analysis for identifying function-specific network layers.

    Zhang, Chuanchao; Wang, Jiguang; Zhang, Chao; Liu, Juan; Xu, Dong; Chen, Luonan

    2016-04-22

    A major challenge of systems biology is to capture the rewiring of biological functions (e.g. signaling pathways) in a molecular network. To address this problem, we proposed a novel computational framework, namely network stratification analysis (NetSA), to stratify the whole biological network into various function-specific network layers corresponding to particular functions (e.g. KEGG pathways), which transform the network analysis from the gene level to the functional level by integrating expression data, the gene/protein network and gene ontology information altogether. The application of NetSA in yeast and its comparison with a traditional network-partition both suggest that NetSA can more effectively reveal functional implications of network rewiring and extract significant phenotype-related biological processes. Furthermore, for time-series or stage-wise data, the function-specific network layer obtained by NetSA is also shown to be able to characterize the disease progression in a dynamic manner. In particular, when applying NetSA to hepatocellular carcinoma and type 1 diabetes, we can derive functional spectra regarding the progression of the disease, and capture active biological functions (i.e. active pathways) in different disease stages. The additional comparison between NetSA and SPIA illustrates again that NetSA could discover more complete biological functions during disease progression. Overall, NetSA provides a general framework to stratify a network into various layers of function-specific sub-networks, which can not only analyze a biological network on the functional level but also investigate gene rewiring patterns in biological processes. PMID:26879865

  7. Sequential designs for sensitivity analysis of functional inputs in computer experiments

    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

  8. Transversity and Collins Fragmentation Functions: Towards a New Global Analysis

    Anselmino, M; D'Alesio, U; Kotzinian, A; Melis, S; Murgia, F; Prokudin, A; Türk, C

    2008-01-01

    A new, preliminary global analysis of the experimental data on azimuthal asymmetries in SIDIS from HERMES and COMPASS collaborations, and in e+e- --> h_1 h_2 X processes from the BELLE collaboration, is performed. The new data allow for a more precise determination of the Collins fragmentation function and of the transversity distribution function for $u$ and $d$ quarks, in comparison with the results of our previous analysis. Estimates for the single spin asymmetry A_UT^{\\sin(\\phi_h + \\phi_S)} at JLab and COMPASS, operating on a transversely polarized proton target, are presented.

  9. Text Analysis: A Functional Linguistic Approach of News Introduction

    刘锦凤

    2009-01-01

    The past several decades have witnessed a phenomenal growth in interest in text analysis, in which different kinds of approaches have been studied and applied in this field. This paper aims at analyzing the introduction of a cho-sen CNN News from a functional linguis.tic approach, which is mainly realized through cohesive means and textual infor-mation. The study shows that in written text, well-organized semantic cohesive means and textual information are of great significance for readers to follow the movement of an idea from one sentence to another. Therefore, functional approach plays a momentous role in the analysis of a text.

  10. Generating function approach to reliability analysis of structural systems

    2009-01-01

    The generating function approach is an important tool for performance assessment in multi-state systems. Aiming at strength reliability analysis of structural systems, generating function approach is introduced and developed. Static reliability models of statically determinate, indeterminate systems and fatigue reliability models are built by constructing special generating functions, which are used to describe probability distributions of strength (resistance), stress (load) and fatigue life, by defining composite operators of generating functions and performance structure functions thereof. When composition operators are executed, computational costs can be reduced by a big margin by means of collecting like terms. The results of theoretical analysis and numerical simulation show that the generating function approach can be widely used for probability modeling of large complex systems with hierarchical structures due to the unified form, compact expression, computer program realizability and high universality. Because the new method considers twin loads giving rise to component failure dependency, it can provide a theoretical reference and act as a powerful tool for static, dynamic reliability analysis in civil engineering structures and mechanical equipment systems with multi-mode damage coupling.

  11. Comparative analysis of nutritional quality and functional effects of some functional bakery products from Romanian market

    Eftime, Mariana; Petrescu, Viorel; Mihaela CONSTANDACHE

    2012-01-01

    One solution to improve the nutritional level of the population, especially in disadvantaged areas, is the enrichment and fortifying consumer foods. This study aims at analyzing the possible beneficial effects of bread fortified with various micronutrients that gives product functionality. The aim of research is a comparative analysis of nutritional quality and functional effects of bakery products of three major producers in Romania, respectively SC DobrogeaGrup S.A. Constanta, Smart Food So...

  12. Moment functions in image analysis theory and applications

    Mukundan, R

    1998-01-01

    This book is a comprehensive treatise on the theory and applications of moment functions in image analysis. Moment functions are widely used in various realms of computer vision and image processing. Numerous algorithms and techniques have been developed using image moments, in the areas of pattern recognition, object identification, three-dimensional object pose estimation, robot sensing, image coding and reconstruction. This book provides a compilation of the theoretical aspects related to different types of moment functions, and their applications in the above areas.The book is organized in

  13. Functional Morphometric Analysis of the Furcula in Mesozoic Birds

    Close, Roger A.; Rayfield, Emily J.

    2012-01-01

    The furcula displays enormous morphological and structural diversity. Acting as an important origin for flight muscles involved in the downstroke, the form of this element has been shown to vary with flight mode. This study seeks to clarify the strength of this form-function relationship through the use of eigenshape morphometric analysis coupled with recently developed phylogenetic comparative methods (PCMs), including phylogenetic Flexible Discriminant Analysis (pFDA). Additionally, the mor...

  14. Functional neuroanatomy of auditory scene analysis in Alzheimer's disease

    Golden, Hannah L.; Jennifer L. Agustus; Johanna C. Goll; Downey, Laura E; Mummery, Catherine J.; Jonathan M Schott; Crutch, Sebastian J.; Jason D Warren

    2015-01-01

    Auditory scene analysis is a demanding computational process that is performed automatically and efficiently by the healthy brain but vulnerable to the neurodegenerative pathology of Alzheimer's disease. Here we assessed the functional neuroanatomy of auditory scene analysis in Alzheimer's disease using the well-known ‘cocktail party effect’ as a model paradigm whereby stored templates for auditory objects (e.g., hearing one's spoken name) are used to segregate auditory ‘foreground’ and ‘back...

  15. A Functional Complexity Framework for the Analysis of Telecommunication Networks

    Dzaferagic, Merim; Macaluso, Irene; Marchetti, Nicola

    2016-01-01

    The rapid evolution of network services demands new paradigms for studying and designing networks. In order to understand the underlying mechanisms that provide network functions, we propose a framework which enables the functional analysis of telecommunication networks. This framework allows us to isolate and analyse a network function as a complex system. We propose functional topologies to visualise the relationships between system entities and enable the systematic study of interactions between them. We also define a complexity metric $C_F$ (functional complexity) which quantifies the variety of structural patterns and roles of nodes in the topology. This complexity metric provides a wholly new approach to study the operation of telecommunication networks. We study the relationship between $C_F$ and different graph structures by analysing graph theory metrics in order to recognize complex organisations. $C_F$ is equal to zero for both a full mesh topology and a disconnected topology. We show that complexi...

  16. Fractals and spectra related to fourier analysis and function spaces

    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 (…) ...

  17. An analysis of predictors of enrollment and successful achievement for girls in high school Advanced Placement physics

    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

  18. Securing Communal Land Rights to Achieve Sustainable Development in Sub-Saharan Africa: Critical Analysis and Policy Implications

    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.

  19. Numerical analysis of data in dynamic function studies

    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)

  20. Functional linear models for association analysis of quantitative traits.

    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. PMID:24130119

  1. Social Media’s Function in Organizations: A Functional Analysis Approach

    Amy Reitz

    2012-12-01

    Full Text Available System theorists believe that organizations that function as an open system have a greater chance of survival than organizations that function as a closed system due to the exchange of inputs and outputs between the organization and its publics. Public relations researchers have proposed adopting a dialogic approach to public relations where interaction between the organization and its publics are mutual, which is the underpinning to an open systems approach. This paper posits that organizations can function within an open systems approach to public relations by employing social media. Adoption of a functional approach is a fruitful way to look at the social functions various social media serve in the system of organizations and their publics. Research has considered the gratifications publics receive from social media; however, limited research has considered what social media do for the organization-public relationship system. It has been argued that organizations also have psychological and social motivations; therefore, applying a functional analysis approach might be a good of way determining what functions social media serve in the organization-public relationship system. Four functions are proposed in which social media may serve the system: maintenance of organizational identity, opportunity to build relationships with publics, ability to control issues management, and the chance to promote social corporate responsibility. Understanding social media’s role in the system can help practitioners identify the functions that may contribute to an open systems approach to public relations and ultimately an organization’s survival.

  2. Computational analysis of microRNA function in heart development

    Ganqiang Liu; Min Ding; Jiajia Chen; Jin yan Huang; Haiyun Wang; Qing Jing; Bairong Shen

    2010-01-01

     Emerging evidence suggests that specific spatio-temporal microRNA(miRNA)expression is required for heartdevelopment.In recent years,hundreds of miRNAs have been discovered.In contrast,functional annotations areavailable only for a very small fraction of these regulatory molecules.In order to provide a global perspective for the biologists who study the relationship between differen tially expressed miRNAs and heart development,we employed computational analysis to uncover the specific cellular processes and biological pathways targeted by miRNAs in mouse heart development.Here,we utilized Gene Ontology(GO)categories,KEGG Pathway,and GeneGo Pathway Maps as a gene functional annotation system for miRNA target enrichment analysis.The target genes of miRNAs were found to be enriched in functional categories and pathway maps in which miRNAs couldplay important roles during heart development.Meanwhile,we developed miRHrt(http://sysbio.suda.edu.cn/mirhrt/),a database aiming to provide a comprehen sive resource of miRNA function in regulating heart development.These computational analysis results effec tively illustrated the correlation of differentially expressed miRNAs with cellular functions and heart development.We hope that the identified novel heart developmentassociated pathways and the database presented here would facilitate further understanding of the roles and mechanisms of miRNAs in heart development.

  3. Functional Analysis and Treatment of Socially Stigmatizing Ambulation

    Pitman, Melanie J.

    2007-01-01

    A brief functional analysis was conducted in an analogue setting to identify the maintaining variables for upright walking in a woman with developmental disabilities supported in an outpatient setting. All conditions required modification, since treatment outcomes were intended to increase, rather than decrease, the target behavior. The…

  4. Fracture Analysis of Functionally Graded Materials by a BEM

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

    2009-01-01

    Fracture Analysis of Functionally Graded Materials by a BEM correspondance: Corresponding author. Tel.: +49 271 7402173; fax: +49 271 7404074. (Zhang, Ch.) (Zhang, Ch.) Department of Engineering Mechanics--> , Southeast University--> , Nanjing--> - CHINA (Gao, X.W.) Department of Civil Engineering--> , University of Siegen--> , D-57068 Siegen--> - GERMANY (Zhang, ...

  5. Lexical, Functional Grammar Analysis of Korean Complex Predicates.

    Kim, Hee-Seob

    The structure of complementation in complex predicates in Korean has attracted configurational analysis. Using a lexical functional grammar (LFG) framework, this paper examines the structure of complementation in complex predicates. The term "predicate" in this context is used to describe both verbs and adjectives that are assumed to consist of…

  6. Boiling water reactor stability analysis by stochastic transfer function identification

    The univariate and the bivariate ARMA models are proposed as the stochastic transfer function models for the identification of BWR systems. This technique has been developed as a new method for on-line system identification, optimum control, and malfunction monitoring of nuclear power plants. The relationships between the stochastic transfer function model and the differential equation model are derived. The estimation algorithms are developed through the related covariance functions and Green's function by the least squares method. It has been shown that the stochastic models can also be used for fitting the stochastic data which are contaminated with sinusoidal waves. Both the univariate and the bivariate modeling are applied in the BWR system identification and stability analysis. The univariate modeling is applied to decompose the pressure dynamics from the neutron data. From both of the normal operation data and the perturbation experiment data, the reactor dynamics are consistently estimated. The dynamics of the reactor core are estimated as a second order mode with a natural frequency of 0.4 Hz and a damping ratio of 0.1. The univariate modeling is also applied to monitor the local performance of the coolant channel in the reactor. The transfer functions between system's variables are obtained by use of bivariate modeling. The obtained transfer functions are closely related to the stability analysis of thermal-hydraulics in the reactor. The transition of the system dynamics from normal operation to the perturbation experiment are observed

  7. Performance-based tests versus behavioral ratings in the assessment of executive functioning in preschoolers: associations with ADHD symptoms and reading achievement.

    Miranda, Ana; Colomer, Carla; Mercader, Jessica; Fernández, M Inmaculada; Presentación, M Jesús

    2015-01-01

    The early assessment of the executive processes using ecologically valid instruments is essential for identifying deficits and planning actions to deal with possible adverse consequences. The present study has two different objectives. The first objective is to analyze the relationship between preschoolers' performance on tests of Working Memory and Inhibition and parents' and teachers' ratings of these executive functions (EFs) using the Behavior Rating Inventory of Executive Function (BRIEF). The second objective consists of studying the predictive value of the different EF measures (performance-based test and rating scales) on Inattention and Hyperactivity/Impulsivity behaviors and on indicators of word reading performance. The participants in the study were 209 children in the last year of preschool, their teachers and their families. Performance-based tests of Working Memory and Inhibition were administered, as well as word reading measures (accuracy and speed). The parents and teachers filled out rating scales of the EF and typical behaviors of attention deficit hyperactivity disorder (ADHD) symptomatology. Moderate correlation values were found between the different EF assessments procedures, although the results varied depending on the different domains. Metacognition Index from the BRIEF presented stronger correlations with verbal working memory tests than with inhibition tests. Both the rating scales and the performance-based tests were significant predictors of Inattention and Hyperactivity/Impulsivity behaviors and the reading achievement measures. However, the BRIEF explained a greater percentage of variance in the case of the ADHD symptomatology, while the performance-based tests explained reading achievement to a greater degree. The implications of the findings for research and clinical practice are discussed. PMID:25972833

  8. An advanced probabilistic structural analysis method for implicit performance functions

    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. Advanced engineering analysis the calculus of variations and functional analysis with applications in mechanics

    Lebedev, Leonid P; Eremeyev, Victor A

    2012-01-01

    Advanced Engineering Analysis is a textbook on modern engineering analysis, covering the calculus of variations, functional analysis, and control theory, as well as applications of these disciplines to mechanics. The book offers a brief and concise, yet complete explanation of essential theory and applications. It contains exercises with hints and solutions, ideal for self-study.

  10. The Impact of Household Possessions on Youth's Academic Achievement in the Ghana YouthSave Experiment: A Propensity Score Analysis

    Chowa, Gina A. N.; Masa, Rainier D.; Wretman, Christopher J.; Ansong, David

    2013-01-01

    Household assets as part of youth's family background have been found to have a significant impact on youth's academic achievement. In this study, the impact of household possessions on youth's academic achievement in the Ghana YouthSave experiment is investigated. Findings support the hypothesized positive direction of the impact of household…

  11. The Effectiveness of Educational Technology Applications for Enhancing Mathematics Achievement in K-12 Classrooms: A Meta-Analysis. Educator's Summary

    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…

  12. A Quantitative Assessment of the Effect of Positive Behavior Intervention and Supports on Math Achievement: A Middle School Analysis

    Keane, Marilyn N.

    2012-01-01

    This study examined the relation between implementation of Positive Behavior Intervention and Supports (PBIS) and academic achievement in middle school math as measured by the Maryland State Assessment (MSA). In particular, the correlation of academic achievement in mathematics, grouped by PBIS implementation status to race, socioeconomic status…

  13. Teacher Credentials and Student Achievement in High School: A Cross-Subject Analysis with Student Fixed Effects

    Clotfelter, Charles T.; Ladd, Helen F.; Vigdor, Jacob L.

    2010-01-01

    We use data on statewide end-of-course tests in North Carolina to examine the relationship between teacher credentials and student achievement at the high school level. We find compelling evidence that teacher credentials, particularly licensure and certification, affects student achievement in systematic ways and that the magnitudes are large…

  14. Colombeau's generalized functions and non-standard analysis

    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 Rn 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

  15. Physical Fitness,Executive Functioning,and Academic Achievement in Primary School Children%小学儿童体适能、执行功能与学业成绩三者的关系

    钟云辉; 熊琼萍; 唐宏

    2016-01-01

    目的:探讨小学儿童体适能、执行功能与学业成绩的关系模型。方法:采用立定跳远、仰卧起坐、10×5米往返跑、伦敦塔任务和连线任务对248名小学儿童进行测查,并收集期中和期末成绩。结果:①除10×5往返跑与语文成绩、伦敦塔任务,仰卧起坐与语文成绩、英语成绩,伦敦塔任务与立定跳远成绩相关不显著外(P >0.05),其余各变量间均呈不同程度的显著相关(P <0.05);②结构方程模型结果显示,执行功能在体适能与小学儿童学业成绩关系间起着完全中介作用。结论:体适能和执行功能对小学儿童学业成绩有重要影响。执行功能在体适能对小学儿童学业成绩的影响中起完全中介作用。%Objective :To explore the relationship between physical fitness ,executive functioning and academic a‐chievement in primary school children .Methods :248 primary school children were investigated with standing broad jump ,sit - ups ,10 × 5 m shuttle run ,the Tower of London test and the Trailmaking test .Their mid - and term grades were also collected .Results :① The results of correlation analysis indicated that ,except 10 × 5 m shuttle run with Chinese and the Tower of London test ,sit - ups with Chinese and English ,the Tower of London test with standing broad jump ,all of the rest factors of physical fitness ,executive functioning and academic achievement were significantly positive correlated with each other (P < 0 .05) .② The results of SEM indicated that the effect of physical fitness on academic achievement was fully mediated by executive functioning .Conclusion :The physical fitness and ex‐ecutive functioning have important influence on academic achievement in primary school children .The executive func‐tioning plays a fully mediating role in the relationship between physical fitness and academic achievement .

  16. Cocaine dependence and thalamic functional connectivity: a multivariate pattern analysis.

    Zhang, Sheng; Hu, Sien; Sinha, Rajita; Potenza, Marc N; Malison, Robert T; Li, Chiang-Shan R

    2016-01-01

    Cocaine dependence is associated with deficits in cognitive control. Previous studies demonstrated that chronic cocaine use affects the activity and functional connectivity of the thalamus, a subcortical structure critical for cognitive functioning. However, the thalamus contains nuclei heterogeneous in functions, and it is not known how thalamic subregions contribute to cognitive dysfunctions in cocaine dependence. To address this issue, we used multivariate pattern analysis (MVPA) to examine how functional connectivity of the thalamus distinguishes 100 cocaine-dependent participants (CD) from 100 demographically matched healthy control individuals (HC). We characterized six task-related networks with independent component analysis of fMRI data of a stop signal task and employed MVPA to distinguish CD from HC on the basis of voxel-wise thalamic connectivity to the six independent components. In an unbiased model of distinct training and testing data, the analysis correctly classified 72% of subjects with leave-one-out cross-validation (p brain regions with similar voxel counts (p cocaine dependence. PMID:27556009

  17. Lectures on functional analysis and the Lebesgue integral

    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...

  18. 2C-Cas9: a versatile tool for clonal analysis of gene function.

    Di Donato, Vincenzo; De Santis, Flavia; Auer, Thomas O; Testa, Noé; Sánchez-Iranzo, Héctor; Mercader, Nadia; Concordet, Jean-Paul; Del Bene, Filippo

    2016-05-01

    CRISPR/Cas9-mediated targeted mutagenesis allows efficient generation of loss-of-function alleles in zebrafish. To date, this technology has been primarily used to generate genetic knockout animals. Nevertheless, the study of the function of certain loci might require tight spatiotemporal control of gene inactivation. Here, we show that tissue-specific gene disruption can be achieved by driving Cas9 expression with the Gal4/UAS system. Furthermore, by combining the Gal4/UAS and Cre/loxP systems, we establish a versatile tool to genetically label mutant cell clones, enabling their phenotypic analysis. Our technique has the potential to be applied to diverse model organisms, enabling tissue-specific loss-of-function and phenotypic characterization of live and fixed tissues. PMID:26957310

  19. Function-Oriented Mobile Malware Analysis as First Aid

    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.

  20. Analysis of the distribution of functionally relevant rare codons

    Dippon Jürgen

    2008-05-01

    Full Text Available Abstract Background The substitution of rare codons with more frequent codons is a commonly applied method in heterologous gene expression to increase protein yields. However, in some cases these substitutions lead to a decrease of protein solubility or activity. To predict these functionally relevant rare codons, a method was developed which is based on an analysis of multisequence alignments of homologous protein families. Results The method successfully predicts functionally relevant codons in fatty acid binding protein and chloramphenicol acetyltransferase which had been experimentally determined. However, the analysis of 16 homologous protein families belonging to the α/β hydrolase fold showed that functionally rare codons share no common location in respect to the tertiary and secondary structure. Conclusion A systematic analysis of multisequence alignments of homologous protein families can be used to predict rare codons with a potential impact on protein expression. Our analysis showed that most genes contain at least one putative rare codon rich region. Rare codons located near to those regions should be excluded in an approach of improving protein expression by an exchange of rare codons by more frequent codons.

  1. Population structure analysis using rare and common functional variants

    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.

  2. The effects of school policies and practices on eighth-grade science achievement: A multilevel analysis of TIMSS

    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

  3. Conformational Analysis of Thioether Musks Using Density Functional Theory

    William N. Setzer

    2009-08-01

    Full Text Available A conformational analysis of nine macrocyclic thioether musks has been carried out using molecular mechanics (MMFF, density functional theory (DFT using both B3LYP and M06 functionals, as well as Hartree-Fock and post-Hartree-Fock (MP2 ab initio methods. 6-Thia-, 10-thia- and 4-methyl-5-thia-14-tetradecananolide, 4-thia-, 7-thia-, 11-thia- and 12-thia-15-pentadecanolide and 6-thia- and 12-thia-16-hexadecanolide were modeled. Unfortunately, there was little agreement between the computational methods at the levels of theory used in this study.

  4. Achieving Standardization

    Henningsson, Stefan

    2016-01-01

    International e-Customs is going through a standardization process. Driven by the need to increase control in the trade process to address security challenges stemming from threats of terrorists, diseases, and counterfeit products, and to lower the administrative burdens on traders to stay...... competitive, national customs and regional economic organizations are seeking to establish a standardized solution for digital reporting of customs data. However, standardization has proven hard to achieve in the socio-technical e-Customs solution. In this chapter, the authors identify and describe what has...... to be harmonized in order for a global company to perceive e-Customs as standardized. In doing so, they contribute an explanation of the challenges associated with using a standardization mechanism for harmonizing socio-technical information systems....

  5. Achieving Standardization

    Henningsson, Stefan

    2014-01-01

    International e-Customs is going through a standardization process. Driven by the need to increase control in the trade process to address security challenges stemming from threats of terrorists, diseases, and counterfeit products, and to lower the administrative burdens on traders to stay...... competitive, national customs and regional economic organizations are seeking to establish a standardized solution for digital reporting of customs data. However, standardization has proven hard to achieve in the socio-technical e-Customs solution. In this chapter, the authors identify and describe what has...... to be harmonized in order for a global company to perceive e-Customs as standardized. In doing so, they contribute an explanation of the challenges associated with using a standardization mechanism for harmonizing socio-technical information systems....

  6. Stochastic processes and functional analysis a volume of recent advances in honor of M. M. Rao

    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,

  7. Analysis of diagnostic calorimeter data by the transfer function technique

    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.

  8. Relationship between High School Students' Achievement Goal Orientation and Academic Motivation for Learning Biology: A Path Analysis

    Yerdelen, Sündüs; Kafkas Üniversitesi, Eğitim Fakültesi, İlköğretim Bölümü; Aydın, Solmaz; Kafkas Üniversitesi, Eğitim Fakültesi, İlköğretim Bölümü; Gürbüzoğlu Yalmancı, Sibel; Kafkas Üniversitesi, Eğitim Fakültesi, OFMAE; Göksu, Volkan; Kafkas Üniversitesi, Eğitim Fakültesi, İlköğretim Bölümü

    2014-01-01

    This study aimed to investigate the relationship between high school students' achievement goal orientation and academic motivation for learning biology. The sample of the study consisted of 281 students taking biology course at science and Anatolian high schools in Kars. Survey method was employed in the study, and "Academic motivation scale for learning biology (AMSLB)" and "Achievement goal orientation questionnaire" were used as data gathering tools. According to the results of the study,...

  9. Effects of parental involvement on Mexican-American eighth grade students' academic achievement : a structural equations analysis

    Keith, Patricia Berg

    1992-01-01

    Mexican-American children are educationally disadvantaged, are at-risk for academic failure, and have not demonstrated the academic achievement that other immigrant groups have, even after they have lived in the U.S. for many generations. Today, parental involvement is being touted by government officials and the popular press as one mechanism through which academic achievement can be increased. If parental involvement is indeed effective, it may be one mechanism for improvi...

  10. COMPARATIVE ANALYSIS OF SPORTS COMPETION ANXIETY, SELF CONFIDENCE AND SPORTS ACHIEVEMENT MOTIVATION AMONG DIFFERENT LEVEL OF HOCKEY PLAYERS

    N. Mallesh; Gandhi, R

    2014-01-01

    The purpose of the present study was to find out the sports competition anxiety, selfconfidence and sports achievement motivation among inter district, inter collegiate and inter university Hockey players. For achieving the purpose of the study total of 90 subjects were selected as samples consisted 30 each inter district, inter collegiate, and inter university men players. Their age groups of the subjects were between 19 to 28 years.The psychological tools used in this study were...

  11. Linking Design to Business Strategy Through Functional Analysis

    Simonsen, Jesper

    1997-01-01

    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......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...... 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....

  12. Automated reasoning applications to design validation and sneak function analysis

    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

  13. GPView: a program for wave function analysis and visualization

    Shi, Tian

    2016-01-01

    In this manuscript, we will introduce a recently developed program GPView, which can be used for wave function analysis and visualization. The wave function analysis module can calculate and generate 3D cubes for various types of molecular orbitals and electron density related with electronic excited states, such as natural orbitals, natural transition orbitals, natural difference orbitals, hole-particle density, detachment-attachment density and transition density. The visualization module of GPView can display molecular and electronic (iso-surfaces) structures. It is also able to animate single trajectories of molecular dynamics and non-adiabatic excited state molecular dynamics using the data stored in existing files. There are also other utilities help to extract and process the output of quantum chemistry calculations. The GPView provides full graphic user interface (GUI) which makes it very easy to use. The software, manual and tutorials are available in the website http://www.life-tp.com/gpview.

  14. Stochastic sensitivity analysis using HDMR and score function

    Rajib Chowdhury; B N Rao; A Meher Prasad

    2009-12-01

    Probabilistic sensitivities provide an important insight in reliability analysis and often crucial towards understanding the physical behaviour underlying failure and modifying the design to mitigate and manage risk. This article presents a new computational approach for calculating stochastic sensitivities of mechanical systems with respect to distribution parameters of random variables. The method involves high dimensional model representation and score functions associated with probability distribution of a random input. The proposed approach facilitates first-and second-order approximation of stochastic sensitivity measures and statistical simulation. The formulation is general such that any simulation method can be used for the computation such as Monte Carlo, importance sampling, Latin hypercube, etc. Both the probabilistic response and its sensitivities can be estimated from a single probabilistic analysis, without requiring gradients of performance function. Numerical results indicate that the proposed method provides accurate and computationally efficient estimates of sensitivities of statistical moments or reliability of structural system.

  15. A Functional Analysis of The old Man and the Sea

    马菊玲

    2005-01-01

    The present paper is a stylistic analysis of the novel The Old Man and the Sea from functional perspective. It places context of situation and modified transitivity into stylistic analysis. The paper aims to put functional linguistics into practice and offer a new insight into the novel. It first gives a situational description of the novel and collects the data accordingly,and then analyzes the materiality of the samples in detail. By comparing the four samples, the paper first works out the plot, which is considered congruent with the principle of data collection; and then it discovers double levels of literary themes of the novel A man may be destroyed but not defeated on one level, and the relationship between human being and non -human being on the highest level.

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

    Novak, Mario

    2016-04-01

    Sex determination based on discriminant function analysis of skeletal measurements is probably the most effective method for assessment of sex in archaeological and contemporary populations due to various reasons, but it also suffers from limitations such as population specificity. In this paper standards for sex assessment from the femur and tibia in the medieval Irish population are presented. Six femoral and six tibial measurements obtained from 56 male and 45 female skeletons were subjected to discriminant function analysis. Average accuracies obtained by this study range between 87.1 and 97%. The highest level of accuracy (97%) was achieved when using combined variables of the femur and tibia (maximum diameter of femoral head and circumference at tibial nutrient foramen), as well as two variables of the tibia (proximal epiphyseal breadth and circumference at nutrient foramen). Discriminant functions using a single variable provided accuracies between 87.1 and 96% with the circumference at the level of the tibial nutrient foramen providing the best separation. High accuracy rates obtained by this research correspond to the data recorded in other studies thus confirming the importance of discriminant function analysis in assessment of sex in both archaeological and forensic contexts. PMID:27301232

  17. Worst-Case Groundness Analysis Using Definite Boolean Functions

    Genaim, Samir; Codish, Michael; Howe, Jacob M.

    2004-01-01

    This note illustrates theoretical worst-case scenarios for groundness analyses obtained through abstract interpretation over the abstract domains of definite (Def) and positive (Pos) Boolean functions. For Def, an example is given for which any Def-based abstract interpretation for groundness analysis follows a chain which is exponential in the number of argument positions as well as in the number of clauses but sub-exponential in the size of the program. For Pos, we strengthen a previous res...

  18. Global analysis of AAC for determining polarized parton distribution functions

    Hirai, M; Saitô, N

    2006-01-01

    We report global analysis results for polarized parton distribution functions in the nucleon. The optimum distributions are determined by using spin asymmetry data on polarized lepton scattering on proton, neutron, and deuteron. Their uncertainties are estimated by the Hessian method. As a result, polarized quark distributions are relatively well determined, whereas the polarized gluon distribution has a large uncertainty band. We find that the obtained gluon distribution is compatible with recent \\Delta g/g measurements in high-p_T hadron productions.

  19. Wavelet Variance Analysis of EEG Based on Window Function

    ZHENG Yuan-zhuang; YOU Rong-yi

    2014-01-01

    A new wavelet variance analysis method based on window function is proposed to investigate the dynamical features of electroencephalogram (EEG).The ex-prienmental results show that the wavelet energy of epileptic EEGs are more discrete than normal EEGs, and the variation of wavelet variance is different between epileptic and normal EEGs with the increase of time-window width. Furthermore, it is found that the wavelet subband entropy (WSE) of the epileptic EEGs are lower than the normal EEGs.

  20. Organizational behaviour management: A functional analysis of productivity

    P. Taffinder; C. Viedge

    1986-01-01

    Organizational Behaviour Management (OBM) represents a new perspective on productivity. In place of addressing "attitudes and motivational drives", OBM concentrates on the control of on-task behaviour. The 3-term contingency of antecedent, behaviour and consequence, or the functional analysis of behaviour as it is known in OBM, provides a delineation of how behaviour is evoked and what maintains or reinforces it. This orientation to productivity requires that the manager establish a continge...

  1. Iterated Function System Models in Data Analysis: Detection and Separation

    Alexander, Zachary; Garland, Joshua; Meiss, James D

    2011-01-01

    We investigate the use of iterated function system (IFS) models for data analysis. An IFS is a collection of dynamical systems that switches between deterministic regimes. An algorithm is developed to detect the regime switches under the assumption of continuity. This method is tested on a simple IFS and applied to an experimental computer performance data set. This methodology has a wide range of potential uses: from change-point detection in time-series data, to the field of digital communications.

  2. A Transfer Function Analysis of Real Estate Capitalization Rates

    Richard D. Evans

    1990-01-01

    A national multifamily and nonresidential real estate capitalization rate shows sensitivity to the analogous earnings/price ratio aggregated from the stock market. Both time series seen to have the same ARIMA characteristics. However, a transfer function analysis indicates that the sensitivity comes with a one quarter lag. Thus, even sophisticated real estate investors seem slow to adjust to changes in business cycle and monetary conditions that cause quicker changes in the stock market.

  3. Semantic Analysis of Verbal Collocations with Lexical Functions

    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,...

  4. Functional analysis of mutations in TGIF associated with holoprosencephaly

    El-Jaick, Kenia B.; Powers, Shannon E.; Bartholin, Laurent; Myers, Kenneth R.; Hahn, Jin; Orioli, Ieda M.; Ouspenskaia, Maia; Lacbawan, Felicitas; Roessler, Erich; Wotton, David; Muenke, Maximilian

    2007-01-01

    Holoprosencephaly (HPE) is the most common structural malformation of the forebrain and face in humans. Our current understanding of the pathogenesis of HPE attempts to integrate genetic susceptibility, evidenced by mutations in the known HPE genes, with the epigenetic influence of environmental factors. Mutations or deletions of the human TGIF gene have been associated with HPE in multiple population cohorts. Here we examine the functional effects of all previously reported mutations, and describe four additional variants. Of the eleven sequence variations in TGIF, all but four can be demonstrated to be functionally abnormal. In contrast, no potentially pathogenic sequence alterations were detected in the related gene TGIF2. These results provide further evidence of a role for TGIF in HPE and demonstrate the importance of functional analysis of putative disease-associated alleles. PMID:16962354

  5. Family functioning and adolescent alcohol use: A moderated mediation analysis.

    Ohannessian, Christine McCauley; Flannery, Kaitlin M; Simpson, Emily; Russell, Beth S

    2016-06-01

    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 1031 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

  6. Some Aspects of the Systemic Functional Model in Text Analysis

    Katja Plemenitaš

    2005-01-01

    Full Text Available The article presents some aspects of text explanation in the systemic functional model of language. In the systemic functional model text is conceived as a semantic unit created in the process of selection and realization of meaningful choices encoded in words and structures. This implies that in order to uncover what types of meanings are being encoded in the text one has to take into account the lexico-grammatical patterns which realize it. The article treats some of the possibilities for the application of this model in a comparative text analysis involving texts in different languages. As an illustration it presents a comparison of some aspects of the experiential function of two presidential speeches, one in English and one in Slovene. The comparison focuses on the distribution of different process types in both texts.

  7. Hemisphericity and student achievement.

    Yeap, L L

    1989-10-01

    Hemispheric preference, the newest element of learning style, refers to the tendency of a person to use one side of the brain to perceive and function more than the other. The objective of the study was to investigate the psychological domain of learning styles in terms of the hemispheric patterns of Singapore Secondary Two students in the three achievement levels, namely Normal (low achievers), Express (average achievers), and Special (high achievers). Using the Cognitive Laterality Battery (Gordon, 1986) to measure the students' hemispheric dominance, the study found that it is in the psychological domain of the students' learning styles, in terms of their hemispheric dominance that the Secondary Two students in the three achievement levels are distinctly different. PMID:2583937

  8. Quantitative Analysis of the Effective Functional Structure in Yeast Glycolysis

    De la Fuente, Ildefonso M.; Cortes, Jesus M.

    2012-01-01

    The understanding of the effective functionality that governs the enzymatic self-organized processes in cellular conditions is a crucial topic in the post-genomic era. In recent studies, Transfer Entropy has been proposed as a rigorous, robust and self-consistent method for the causal quantification of the functional information flow among nonlinear processes. Here, in order to quantify the functional connectivity for the glycolytic enzymes in dissipative conditions we have analyzed different catalytic patterns using the technique of Transfer Entropy. The data were obtained by means of a yeast glycolytic model formed by three delay differential equations where the enzymatic rate equations of the irreversible stages have been explicitly considered. These enzymatic activity functions were previously modeled and tested experimentally by other different groups. The results show the emergence of a new kind of dynamical functional structure, characterized by changing connectivity flows and a metabolic invariant that constrains the activity of the irreversible enzymes. In addition to the classical topological structure characterized by the specific location of enzymes, substrates, products and feedback-regulatory metabolites, an effective functional structure emerges in the modeled glycolytic system, which is dynamical and characterized by notable variations of the functional interactions. The dynamical structure also exhibits a metabolic invariant which constrains the functional attributes of the enzymes. Finally, in accordance with the classical biochemical studies, our numerical analysis reveals in a quantitative manner that the enzyme phosphofructokinase is the key-core of the metabolic system, behaving for all conditions as the main source of the effective causal flows in yeast glycolysis. PMID:22393350

  9. Using Operational Analysis to Improve Access to Pulmonary Function Testing

    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.

  10. Multifractal analysis of resting state networks in functional MRI

    It has been know for at least one decade that functional MRI time series display long-memory properties, such as power-law scaling in the frequency spectrum. Concomitantly, multivariate model free analysis of spatial patterns, such as spatial Independent Component Analysis (sICA), has been successfully used to segment from spontaneous activity Resting-State Networks (RSN) that correspond to known brain function. As recent neuro-scientific studies suggest a link between spectral properties of brain activity and cognitive processes, a burning question emerges: can temporal scaling properties offer new markers of brain states encoded in these large scale networks? In this paper, we combine two recent methodologies: group-level canonical ICA for multi-subject segmentation of brain network, and wavelet leader-based multifractal formalism for the analysis of RSN scaling properties. We identify the brain networks that elicit self-similarity or multi-fractality and explore which spectral properties correspond specifically to known functionally relevant processes in spontaneous activity. (authors)

  11. Systems analysis of biological networks in skeletal muscle function.

    Smith, Lucas R; Meyer, Gretchen; Lieber, Richard L

    2013-01-01

    Skeletal muscle function depends on the efficient coordination among subcellular systems. These systems are composed of proteins encoded by a subset of genes, all of which are tightly regulated. In the cases where regulation is altered because of disease or injury, dysfunction occurs. To enable objective analysis of muscle gene expression profiles, we have defined nine biological networks whose coordination is critical to muscle function. We begin by describing the expression of proteins necessary for optimal neuromuscular junction function that results in the muscle cell action potential. That action potential is transmitted to proteins involved in excitation-contraction coupling enabling Ca(2+) release. Ca(2+) then activates contractile proteins supporting actin and myosin cross-bridge cycling. Force generated by cross-bridges is transmitted via cytoskeletal proteins through the sarcolemma and out to critical proteins that support the muscle extracellular matrix. Muscle contraction is fueled through many proteins that regulate energy metabolism. Inflammation is a common response to injury that can result in alteration of many pathways within muscle. Muscle also has multiple pathways that regulate size through atrophy or hypertrophy. Finally, the isoforms associated with fast muscle fibers and their corresponding isoforms in slow muscle fibers are delineated. These nine networks represent important biological systems that affect skeletal muscle function. Combining high-throughput systems analysis with advanced networking software will allow researchers to use these networks to objectively study skeletal muscle systems. PMID:23188744

  12. Phylogenomic and functional domain analysis of polyketide synthases in Fusarium

    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.

  13. Functional analysis and regulation of purified connexin hemichannels

    GuillermoAAltenberg

    2014-02-01

    Full Text Available Gap-junction channels (GJCs are aqueous channels that communicate adjacent cells. They are formed by head-to-head association of two hemichannels (HCs, one from each of the adjacent cells. Functional HCs are connexin hexamers composed of one or more connexin isoforms. Deafness is the most frequent sensineural disorder, and mutations of Cx26 are the most common cause of genetic deafness. Cx43 is the most ubiquitous connexin, expressed in many organs, tissues and cell types, including heart, brain and kidney. Alterations in its expression and function play important roles in the pathophysiology of very frequent medical problems such as those related to cardiac and brain ischemia. There is extensive information on the relationship between phosphorylation and Cx43 targeting, location and function from experiments in cells and organs in normal and pathological conditions. However, the molecular mechanisms of Cx43 regulation by phosphorylation are hard to tackle in complex systems. Here, we present the use of purified HCs as a model for functional and structural studies. Cx26 and Cx43 are the only isoforms that have been purified, reconstituted, and subjected to functional and structural analysis. Purified Cx26 and Cx43 HCs have properties compatible with those demonstrated in cells, and present methodologies for the functional analysis of purified HCs reconstituted in liposomes. We show that phosphorylation of serine 368 by PKC produces a partial closure of the Cx43 HCs, changing solute selectivity. We also present evidence that the effect of phosphorylation is highly cooperative, requiring modification of several connexin subunits, and that phosphorylation of serine 368 elicits conformational changes in the purified HCs. The use of purified HCs is starting to provide critical data to understand the regulation of HCs at the molecular level.

  14. Acquisition and analysis strategies in functional MRI at high fields

    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)

  15. Spatial-Functional Analysis of Kurdish Courtyard Houses in Erbil City

    Faris A. Mustafa

    2010-01-01

    Full Text Available Problem statement: This study was to analyze the concept of spatial-function in courtyard house layout and its influence to the cultural and social activities. Themes such as integration, segregation, accessibility and zoning of the building space layout are required to be deliberated, in order to achieve further understanding about the Kurdish social and cultural benchmarks (norms that might have affected by the spatial configuration of the house layouts. Approach: The study was based on the analysis from selected samples of courtyard house layouts in Erbil city, through adopting the theory of space syntax and its techniques (gamma analysis method. The purpose was to interpret and identify the mutual relationship between space and social life through both scales of spatial-functional analysis. Functionally, illustration and classification of the key zones and sectors of the house; spatially, measuring the main syntactic characteristics of spatial systems (house layoutsand translating it to numerical data in order to identify their effect that forming spatial patterns. Results: The functional approach for the design of residential spaces had a clear impact on the method of formation and organization of residential spaces (functional sectors through the indicators of physical and intellectual change that affected the nature of spontaneous social interaction in the traditional Kurdish courtyard houses in the city of Erbil. Conclusion: Social variables and factors stemming from the customs and traditions of the community have a direct impact on the residential function through the way of forming and configuration of its interior spaces, which had supported by discovering Genotypic spatial-functional patterns of house layouts (study sample.

  16. Discriminant analysis of functional optical topography for schizophrenia diagnosis

    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.

  17. Lie Symmetry Analysis of the Hopf Functional-Differential Equation

    Daniel D. Janocha

    2015-08-01

    Full Text Available In this paper, we extend the classical Lie symmetry analysis from partial differential equations to integro-differential equations with functional derivatives. We continue the work of Oberlack and Wacławczyk (2006, Arch. Mech. 58, 597, (2013, J. Math. Phys. 54, 072901, where the extended Lie symmetry analysis is performed in the Fourier space. Here, we introduce a method to perform the extended Lie symmetry analysis in the physical space where we have to deal with the transformation of the integration variable in the appearing integral terms. The method is based on the transformation of the product y(xdx appearing in the integral terms and applied to the functional formulation of the viscous Burgers equation. The extended Lie symmetry analysis furnishes all known symmetries of the viscous Burgers equation and is able to provide new symmetries associated with the Hopf formulation of the viscous Burgers equation. Hence, it can be employed as an important tool for applications in continuum mechanics.

  18. A Systemic-Functional Analysis of English Language Learners' Writing

    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.

  19. Discriminant analysis of functional optical topography for schizophrenia diagnosis

    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 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.

  20. ProbFAST: Probabilistic Functional Analysis System Tool

    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.

  1. Structure network analysis to gain insights into GPCR function.

    Fanelli, Francesca; Felline, Angelo; Raimondi, Francesco; Seeber, Michele

    2016-04-15

    G protein coupled receptors (GPCRs) are allosteric proteins whose functioning fundamentals are the communication between the two poles of the helix bundle. Protein structure network (PSN) analysis is one of the graph theory-based approaches currently used to investigate the structural communication in biomolecular systems. Information on system's dynamics can be provided by atomistic molecular dynamics (MD) simulations or coarse grained elastic network models paired with normal mode analysis (ENM-NMA). The present review article describes the application of PSN analysis to uncover the structural communication in G protein coupled receptors (GPCRs). Strategies to highlight changes in structural communication upon misfolding, dimerization and activation are described. Focus is put on the ENM-NMA-based strategy applied to the crystallographic structures of rhodopsin in its inactive (dark) and signalling active (meta II (MII)) states, highlighting changes in structure network and centrality of the retinal chromophore in differentiating the inactive and active states of the receptor. PMID:27068978

  2. Further Evidence of Independence Between the Motive to Achieve Success and the Motive to Avoid Failure: A Confirmatory Factor Analysis

    Rémi L Capa

    2011-02-01

    Full Text Available The Motive to Achieve Success (MAS and the Motive to Avoid Failure (MAF are the most widely measured factors of achievement motivation. The relationships between MAS and MAF are controversial. To test the validity of these relations, we compared three models with different relationships between MAS and MAF by confirmatory factor analyses. Items from the achievement motivation subscale of the personality research form (Jackson, 1999 and from the motive to avoid failure scale (Hagtvet & Benson, 1997 were administrated to a large sample ('N' = 1179. The model in which MAS and MAF were separable and weakly correlated factors showed better results than independent and unitary models. Implications for the selection of participants were also discussed.

  3. COMPARATIVE ANALYSIS OF SPORTS COMPETION ANXIETY, SELF CONFIDENCE AND SPORTS ACHIEVEMENT MOTIVATION AMONG DIFFERENT LEVEL OF HOCKEY PLAYERS

    N. Mallesh

    2014-06-01

    Full Text Available The purpose of the present study was to find out the sports competition anxiety, selfconfidence and sports achievement motivation among inter district, inter collegiate and inter university Hockey players. For achieving the purpose of the study total of 90 subjects were selected as samples consisted 30 each inter district, inter collegiate, and inter university men players. Their age groups of the subjects were between 19 to 28 years.The psychological tools used in this study were standardized. The Sports competitive anxiety was measured through standardized questionnaire, developed by Rainer Martens, Sports achievement motivation was measured through questionnaire developed by M.L. Kamlesh and Self-confidence was measured through standardized questionnaire developed by Robin's Vealey.

  4. Hepatic mitochondrial function analysis using needle liver biopsy samples.

    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.

  5. Accident Analysis and Barrier Function (AEB) Method. Manual for Incident Analysis

    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

  6. A Path Analysis of the Effects of Principal Professional Orientation towards Leadership, Professional Teacher Behavior, and School Academic Optimism on School Reading Achievement

    Roxanne M. Mitchell; C. John Tarter

    2016-01-01

    This study tested the effects of the principal’s professional orientation towards leadership/enabling school structure (ESS) on two mediating variables, school academic optimism (SAO) and professional teacher behavior (PTB), on the outcome variable school reading achievement (RA). Data were drawn from a sample of 54 schools (including 45 elementary schools and nine middle schools); the school was the unit of analysis. Data analysis supported a path to RA in which a structural variable, ESS wa...

  7. Functional and genetic analysis of coronavirus replicase-transcriptase proteins.

    Stanley G Sawicki

    2005-12-01

    Full Text Available The coronavirus replicase-transcriptase complex is an assembly of viral and cellular proteins that mediate the synthesis of genome and subgenome-sized mRNAs in the virus-infected cell. Here, we report a genetic and functional analysis of 19 temperature-sensitive (ts mutants of Murine hepatitis virus MHV-A59 that are unable to synthesize viral RNA when the infection is initiated and maintained at the non-permissive temperature. Both classical and biochemical complementation analysis leads us to predict that the majority of MHV-A59 ORF1a replicase gene products (non-structural proteins nsp1-nsp11 form a single complementation group (cistron1 while the replicase gene products encoded in ORF1b (non-structural proteins nsp12-nsp16 are able to function in trans and comprise at least three, and possibly five, further complementation groups (cistrons II-VI. Also, we have identified mutations in the non-structural proteins nsp 4, nsp5, nsp10, nsp12, nsp14, and nsp16 that are responsible for the ts phenotype of eight MHV-A59 mutants, which allows us to conclude that these proteins are essential for the assembly of a functional replicase-transcriptase complex. Finally, our analysis of viral RNA synthesis in ts mutant virus-infected cells allows us to discriminate three phenotypes with regard to the inability of specific mutants to synthesize viral RNA at the non-permissive temperature. Mutant LA ts6 appeared to be defective in continuing negative-strand synthesis, mutant Alb ts16 appeared to form negative strands but these were not utilized for positive-strand RNA synthesis, and mutant Alb ts22 was defective in the elongation of both positive- and negative-strand RNA. On the basis of these results, we propose a model that describes a pathway for viral RNA synthesis in MHV-A59-infected cells. Further biochemical analysis of these mutants should allow us to identify intermediates in this pathway and elucidate the precise function(s of the viral replicase

  8. How Much of a Difference Do Principals Make? an Analysis of Between-Schools Variation in Academic Achievement in Hong Kong Public Secondary Schools

    Walker, Allan David; Lee, Moosung; Bryant, Darren A.

    2014-01-01

    This article aims to explain the role principals play in the variation in academic achievement between secondary schools in Hong Kong. The article draws on survey data from 179 key staff and 2,037 students from 42 schools. The study uses 2 analytical approaches. First, it employs classification and regression tree analysis (CART). This was used to…

  9. Prospective analysis of LDL-C goal achievement and self-reported medication adherence among statin users in primary care.

    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.

  10. Competence in Mathematics and Academic Achievement: An Analysis of Enrollees in the Bachelor of Science in Actuarial Science Program

    Wamala, Robert; Maswere, Dyson W.; Mwanga, Yeko

    2013-01-01

    This study investigates the role of prior grounding attained in mathematics in predicting the academic achievement of enrollees in Bachelor of Science in Actuarial Science (BSAS). The investigation is based on administrative records of 240 BSAS enrollees at Makerere University, School of Statistics and Planning in the 2007-2009 cohorts. Students'…

  11. Professional Learning Communities: An Analysis of Teacher Participation in a PLC and the Relationship with Student Academic Achievement

    Aylsworth, Anthony James

    2012-01-01

    This study sought to compare teacher participation in a Professional Learning Community with the performance of their students. Student achievement data from multiple subject-alike groups were compared in a pre-and post-PLC format, using an independent, two-sample t-test. Overall, 10 PLCs from one high school in a suburban, Iowa setting were…

  12. A Mixed Method Analysis of the Interaction between Teacher Variables, Teacher Absences, School District Policies, and Student Achievement

    Dillehay, Glenn Woodrow, III.

    2012-01-01

    Teacher absenteeism is expensive, disrupts the continuity of educational activities, and results in students attending classes with less qualified substitute teachers. The purpose of this study was to analyze the relationships among teacher variables, teacher absenteeism, student achievement, and school district policy governing teacher…

  13. An Analysis of the Relationships between Taiwanese Eighth and Fourth Graders' Motivational Beliefs and Science Achievement in TIMSS 2011

    Liou, Pey-Yan; Liu, Eric Zhi-Feng

    2015-01-01

    The purpose of this study is to examine the issues of students' motivational beliefs in science learning and their relations with science achievement. Data of Taiwanese fourth and eighth graders from the Trends in International Mathematics and Science Study 2011 were examined. Students' self-concept and intrinsic interest as motivational beliefs,…

  14. The Effects of Physical Activity and Physical Fitness on Children's Achievement and Cognitive Outcomes: A Meta-Analysis

    Fedewa, Alicia L.; Ahn, Soyeon

    2011-01-01

    It is common knowledge that physical activity leads to numerous health and psychological benefits. However, the relationship between children's physical activity and academic achievement has been debated in the literature. Some studies have found strong, positive relationships between physical activity and cognitive outcomes, while other studies…

  15. Science Learning: A Path Analysis of Its Links with Reading Comprehension, Question-Asking in Class and Science Achievement

    Cano, Francisco; García, Ángela; Berbén, A. B. G.; Justicia, Fernando

    2014-01-01

    The purpose of this research was to build and test a conceptual model of the complex interrelationships between students' learning in science (learning approaches and self-regulation), their reading comprehension, question-asking in class and science achievement. These variables were measured by means of a test and a series of questionnaires…

  16. Achieve 3000: An Analysis of Usage and Impact, 2013-14. Technical Note. Volume 3, Number 1

    Urdegar, Steven M.

    2014-01-01

    Achieve 3000 is an online differentiated reading program for students with disabilities and English Language Learners in grades 6-8. The software delivers differentiated assignments at 12 different reading levels. The software features internal assessments that continuously gauge students' reading levels, provides feedback to teachers, and…

  17. A Multilevel Analysis of the Role of School Quality and Family Background on Students' Mathematics Achievement in the Middle East

    Kareshki, Hossein; Hajinezhad, Zahra

    2014-01-01

    The purpose of the present study is investigating the correlation between school quality and family socioeconomic background and students' mathematics achievement in the Middle East. The countries in comparison are UAE, Syria, Qatar, Iran, Saudi Arabia, Oman, Lebanon, Jordan, and Bahrain. The study utilized data from IEA's Trends in International…

  18. The Children of Guest Workers: Comparative Analysis of Scholastic Achievement of Pupils of Turkish Origin throughout Europe

    Pasztor, Adel

    2008-01-01

    This paper examines the integration of Turkish labour migrant children in four countries across Europe in terms of their educational performance. By looking at the PISA 2003 (Programme for International Student Assessment) data pertaining to mathematics achievement of 15-year-olds, it explores the effects of ethnicity, gender and family…

  19. The Effectiveness of Educational Technology Applications for Enhancing Mathematics Achievement in K-12 Classrooms: A Meta-Analysis

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

    2013-01-01

    The present review examines research on the effects of educational technology applications on mathematics 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…

  20. The children of guest workers: Comparative analysis of scholastic achievement of pupils of Turkish origin throughout Europe

    A. Pásztor

    2008-01-01

    This paper examines the integration of Turkish labour migrant children in four countries across Europe in terms of their educational performance. By looking at the PISA 2003 (Programme for International Student Assessment) data pertaining to mathematics achievement of 15-year-olds, it explores the e

  1. A Comparative Analysis of Single-Sex Schools in Terms of Achievement in Reading and Math and Student Attendance

    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…

  2. A Mixed-Method Analysis of the Alignment of Title I Achieving Schools' Professional Development to NCLB Professional Development Provisions

    Quinn, Kerry

    2013-01-01

    The improvement of schools has been a central discussion among educators, legislators, and stakeholders, with professional development being acknowledged as a fundamental topic for the success of the education system. Studying the alignment of professional development programs provided at Title I Achieving schools to NCLB research based…

  3. Functional complexity of the axonal growth cone: a proteomic analysis.

    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.

  4. Light curve demography via Bayesian functional data analysis

    Loredo, Thomas; Budavari, Tamas; Hendry, Martin A.; Kowal, Daniel; Ruppert, David

    2015-08-01

    Synoptic time-domain surveys provide astronomers, not simply more data, but a different kind of data: large ensembles of multivariate, irregularly and asynchronously sampled light curves. We describe a statistical framework for light curve demography—optimal accumulation and extraction of information, not only along individual light curves as conventional methods do, but also across large ensembles of related light curves. We build the framework using tools from functional data analysis (FDA), a rapidly growing area of statistics that addresses inference from datasets that sample ensembles of related functions. Our Bayesian FDA framework builds hierarchical models that describe light curve ensembles using multiple levels of randomness: upper levels describe the source population, and lower levels describe the observation process, including measurement errors and selection effects. Schematically, a particular object's light curve is modeled as the sum of a parameterized template component (modeling population-averaged behavior) and a peculiar component (modeling variability across the population), subsequently subjected to an observation model. A functional shrinkage adjustment to individual light curves emerges—an adaptive, functional generalization of the kind of adjustments made for Eddington or Malmquist bias in single-epoch photometric surveys. We are applying the framework to a variety of problems in synoptic time-domain survey astronomy, including optimal detection of weak sources in multi-epoch data, and improved estimation of Cepheid variable star luminosities from detailed demographic modeling of ensembles of Cepheid light curves.

  5. Sensitivity functions for uncertainty analysis: Sensitivity and uncertainty analysis of reactor performance parameters

    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

  6. GeoChips for Analysis of Microbial Functional Communities

    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).

  7. Global NLO Analysis of Nuclear Parton Distribution Functions

    Hirai, M; Nagai, T -H

    2008-01-01

    Nuclear parton distribution functions (NPDFs) are determined by a global analysis of experimental measurements on structure-function ratios F_2^A/F_2^{A'} and Drell-Yan cross section ratios \\sigma_{DY}^A/\\sigma_{DY}^{A'}, and their uncertainties are estimated by the Hessian method. The NPDFs are obtained in both leading order (LO) and next-to-leading order (NLO) of \\alpha_s. As a result, valence-quark distributions are relatively well determined, whereas antiquark distributions at x>0.2 and gluon distributions in the whole x region have large uncertainties. The NLO uncertainties are slightly smaller than the LO ones; however, such a NLO improvement is not as significant as the nucleonic case.

  8. Advanced functional network analysis in the geosciences: The pyunicorn package

    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.

  9. Phylogenetic comparative methods complement discriminant function analysis in ecomorphology.

    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. PMID:24382658

  10. Acquisition and analysis strategies in functional MRI at high fields

    Windischberger, C

    2001-01-01

    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 su...

  11. Uncertainty Analysis via Failure Domain Characterization: Polynomial Requirement Functions

    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.

  12. Uncertainty Analysis via Failure Domain Characterization: Unrestricted Requirement Functions

    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.

  13. Two-dimensional finite element neutron diffusion analysis using hierarchic shape functions

    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

  14. Cloning, Characteristics, and Functional Analysis of Rabbit NADPH Oxidase 5

    Chen, Feng; Yin, Caiyong; Dimitropoulou, Christiana; Fulton, David J. R.

    2016-01-01

    Background: Nox5 was the last member of the Nox enzyme family to be identified. Functionally distinct from the other Nox isoforms, our understanding of its physiological significance has been hampered by the absence of Nox5 in mouse and rat genomes. Nox5 is present in the genomes of other species such as the rabbit that have broad utility as models of cardiovascular disease. However, the mRNA sequence, characteristics, and functional analysis of rabbit Nox5 has not been fully defined and were the goals of the current study. Methods: Rabbit Nox5 was amplified from rabbit tissue, cloned, and sequenced. COS-7 cells were employed for expression and functional analysis via Western blotting and measurements of superoxide. We designed and synthesized miRNAs selectively targeting rabbit Nox5. The nucleotide and amino acid sequences of rabbit Nox5 were aligned with those of putative rabbit isoforms (X1, X2, X3, and X4). A phylogenetic tree was generated based on the mRNA sequence for Nox5 from rabbit and other species. Results: Sequence alignment revealed that the identified rabbit Nox5 was highly conserved with the predicted sequence of rabbit Nox5. Cell based experiments reveal that rabbit Nox5 was robustly expressed and produced superoxide at rest and in a calcium and PMA-dependent manner that was susceptible to superoxide dismutase and the flavoprotein inhibitor, DPI. miRNA-1 was shown to be most effective in down-regulating the expression of rabbit Nox5. Phylogenetic analysis revealed a close relationship between rabbit and armadillo Nox5. Rabbit Nox5 was relatively closely related to human Nox5, but lies in a distinct cluster. Conclusion: Our study establishes the suitability of the rabbit as a model organism to further our understanding of the role of Nox5 in cardiovascular and other diseases and provides new information on the genetic relationship of Nox5 genes in different species. PMID:27486403

  15. Functional neuroanatomy of auditory scene analysis in Alzheimer's disease

    Hannah L. Golden

    2015-01-01

    Full Text Available Auditory scene analysis is a demanding computational process that is performed automatically and efficiently by the healthy brain but vulnerable to the neurodegenerative pathology of Alzheimer's disease. Here we assessed the functional neuroanatomy of auditory scene analysis in Alzheimer's disease using the well-known ‘cocktail party effect’ as a model paradigm whereby stored templates for auditory objects (e.g., hearing one's spoken name are used to segregate auditory ‘foreground’ and ‘background’. Patients with typical amnestic Alzheimer's disease (n = 13 and age-matched healthy individuals (n = 17 underwent functional 3T-MRI using a sparse acquisition protocol with passive listening to auditory stimulus conditions comprising the participant's own name interleaved with or superimposed on multi-talker babble, and spectrally rotated (unrecognisable analogues of these conditions. Name identification (conditions containing the participant's own name contrasted with spectrally rotated analogues produced extensive bilateral activation involving superior temporal cortex in both the AD and healthy control groups, with no significant differences between groups. Auditory object segregation (conditions with interleaved name sounds contrasted with superimposed name sounds produced activation of right posterior superior temporal cortex in both groups, again with no differences between groups. However, the cocktail party effect (interaction of own name identification with auditory object segregation processing produced activation of right supramarginal gyrus in the AD group that was significantly enhanced compared with the healthy control group. The findings delineate an altered functional neuroanatomical profile of auditory scene analysis in Alzheimer's disease that may constitute a novel computational signature of this neurodegenerative pathology.

  16. Functional neuroanatomy of auditory scene analysis in Alzheimer's disease.

    Golden, Hannah L; Agustus, Jennifer L; Goll, Johanna C; Downey, Laura E; Mummery, Catherine J; Schott, Jonathan M; Crutch, Sebastian J; Warren, Jason D

    2015-01-01

    Auditory scene analysis is a demanding computational process that is performed automatically and efficiently by the healthy brain but vulnerable to the neurodegenerative pathology of Alzheimer's disease. Here we assessed the functional neuroanatomy of auditory scene analysis in Alzheimer's disease using the well-known 'cocktail party effect' as a model paradigm whereby stored templates for auditory objects (e.g., hearing one's spoken name) are used to segregate auditory 'foreground' and 'background'. Patients with typical amnestic Alzheimer's disease (n = 13) and age-matched healthy individuals (n = 17) underwent functional 3T-MRI using a sparse acquisition protocol with passive listening to auditory stimulus conditions comprising the participant's own name interleaved with or superimposed on multi-talker babble, and spectrally rotated (unrecognisable) analogues of these conditions. Name identification (conditions containing the participant's own name contrasted with spectrally rotated analogues) produced extensive bilateral activation involving superior temporal cortex in both the AD and healthy control groups, with no significant differences between groups. Auditory object segregation (conditions with interleaved name sounds contrasted with superimposed name sounds) produced activation of right posterior superior temporal cortex in both groups, again with no differences between groups. However, the cocktail party effect (interaction of own name identification with auditory object segregation processing) produced activation of right supramarginal gyrus in the AD group that was significantly enhanced compared with the healthy control group. The findings delineate an altered functional neuroanatomical profile of auditory scene analysis in Alzheimer's disease that may constitute a novel computational signature of this neurodegenerative pathology. PMID:26029629

  17. On uniform resampling and gaze analysis of bidirectional texture functions

    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 ostatní: 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

  18. Some Logical Metatheorems with Applications in Functional Analysis

    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...... systematically yielded uniformity even w.r.t. parameters in metrically bounded (but noncompact) subsets which had been known before only in special cases. In the present paper we prove general logical metatheorems which cover these applications to fixed-point theory as special cases but are not restricted to...

  19. Numerical Analysis for Functional Differential and Integral Equations

    Hermann BRUNNER; Tao TANG; Stefan VANDEWALLE

    2009-01-01

    @@ From December 3-6,2007,the Department of Mathematics at Hong Kong Baptist University hosted the International Workshop on Numerical Analysis and Computational Methods for Functional Differential and Integral Equations. This workshop,organized by Hermann Brunner of Memorial University of Newfoundland (Canada) & Hong Kong Baptist University,Leevan Ling and Tao Tang of Hong Kong Baptist University,and Chengjian Zhang of Huazhong University of Science and Technology (China) brought together some 40 members of research groups in Hong Kong,Taiwan and the mainland of China,Belgium,Canada,Japan,and Portugal.

  20. Recent developments in multivariate pattern analysis for functional MRI

    Zhi Yang; Fang Fang; Xuchu Weng

    2012-01-01

    Multivariate pattern analysis (MVPA) is a recently-developed approach for functional magnetic resonance imaging (fMRI) data analyses.Compared with the traditional univariate methods,MVPA is more sensitive to subtle changes in multivariate patterns in fMRI data.In this review,we introduce several significant advances in MVPA applications and summarize various combinations of algorithms and parameters in different problem settings.The limitations of MVPA and some critical questions that need to be addressed in future research are also discussed.

  1. Functional analysis and quantum mechanics: an introduction for physicists

    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)

  2. Tomato Functional Genomics Database: a comprehensive resource and analysis package for tomato functional genomics.

    Fei, Zhangjun; Joung, Je-Gun; Tang, Xuemei; Zheng, Yi; Huang, Mingyun; Lee, Je Min; McQuinn, Ryan; Tieman, Denise M; Alba, Rob; Klee, Harry J; Giovannoni, James J

    2011-01-01

    Tomato Functional Genomics Database (TFGD) provides a comprehensive resource to store, query, mine, analyze, visualize and integrate large-scale tomato functional genomics data sets. The database is functionally expanded from the previously described Tomato Expression Database by including metabolite profiles as well as large-scale tomato small RNA (sRNA) data sets. Computational pipelines have been developed to process microarray, metabolite and sRNA data sets archived in the database, respectively, and TFGD provides downloads of all the analyzed results. TFGD is also designed to enable users to easily retrieve biologically important information through a set of efficient query interfaces and analysis tools, including improved array probe annotations as well as tools to identify co-expressed genes, significantly affected biological processes and biochemical pathways from gene expression data sets and miRNA targets, and to integrate transcript and metabolite profiles, and sRNA and mRNA sequences. The suite of tools and interfaces in TFGD allow intelligent data mining of recently released and continually expanding large-scale tomato functional genomics data sets. TFGD is available at http://ted.bti.cornell.edu. PMID:20965973

  3. The analysis of gastric function using computational techniques

    Young, P

    2002-01-01

    The work presented in this thesis was carried out at the Magnetic Resonance Centre, Department of Physics and Astronomy, University of Nottingham, between October 1996 and June 2000. This thesis describes the application of computerised techniques to the analysis of gastric function, in relation to Magnetic Resonance Imaging data. The implementation of a computer program enabling the measurement of motility in the lower stomach is described in Chapter 6. This method allowed the dimensional reduction of multi-slice image data sets into a 'Motility Plot', from which the motility parameters - the frequency, velocity and depth of contractions - could be measured. The technique was found to be simple, accurate and involved substantial time savings, when compared to manual analysis. The program was subsequently used in the measurement of motility in three separate studies, described in Chapter 7. In Study 1, four different meal types of varying viscosity and nutrient value were consumed by 12 volunteers. The aim of...

  4. The Analysis of Learning Styles and Their Relationship to Academic Achievement in Medical Students of Basic Sciences Program

    Reza Ghaffari; Fariba Salek Ranjbarzadeh; Eskandar Fathi Azar; Susan Hassanzadeh; Naser Safaei; Parisa Golanbar; Hossein Mazouchian; Elham Abbasi

    2013-01-01

    Introduction: Learning style is an individual’s preferred method of encountering information in specific situations in order to acquire knowledge, skills and attitudes through study or experience. Students and Planers’ awareness of learning styles facilitate the teaching process, increases satisfaction and makes the future choices easier. This study aimed to examine different learning styles and their relation to academic achievement in medical students of basic sciences program at Tabriz Uni...

  5. ANALYSIS OF ACHIEVEMENT MOTIVATION AND SELF CONCEPT AMONG ATTACKER,SETTER AND LIBERO VOLLEY BALL PLAYERS”

    Mahantesh B.Khanapur

    2016-01-01

    Sports are psycho-social activity; Sports have a very important role in modern society. It is important to an individual, a group, a nation and indeed the world. Sports performance is the result and expression of the total personality of the sports man. The sports man is also to achieve high-level performance by concentrating on major areas like physical power, physiological efficiency, psychological development, application of bio-mechanics and environmental adjustments. The word ‘Sports’...

  6. Critical appraisal and pooled analysis of telmisartan alone or in combination with hydrochlorothiazide for achieving blood pressure goals

    Morimoto,

    2010-01-01

    Satoshi Morimoto, Nobuyuki Takahashi, Tatsuyori Morita, Kazunori Someya, Nagaoki Toyoda, Toshiji IwasakaSecond Department of Internal Medicine, Kansai Medical University 2-3-1, Shinmachi, Hirakata, Osaka 573-1191, JapanAbstract: Rigid control of blood pressure (BP) is essential to prevent cardiovascular disease. However, only about 40% of hypertensive patients undergoing pharmacological intervention with a single agent achieve their BP goals in contemporary clinical practice. Combined therapy...

  7. The Place of Multiple Intelligence in Achieving the Objectives and Goals of Open and Distance Learning Institutions: a Critical Analysis

    Felix Kayode OLAKULEIN; OJO, Olugbenga David

    2006-01-01

    This paper examined the nature of open and distance learning institutions as organizations where synergy of efforts of all personnel is required in other to achieve the aims and objectives of the institution. It explored the huge infrastructural and personnel requirements of distance learning institutions, especially at inception, and the wherewithal needed for the institutions to survive the challenges of the contemporary knowledge milieu and stand the test of time while ensuring the quali...

  8. Dynamic Assessment of Functional Lipidomic Analysis in Human Urine.

    Rockwell, Hannah E; Gao, Fei; Chen, Emily Y; McDaniel, Justice; Sarangarajan, Rangaprasad; Narain, Niven R; Kiebish, Michael A

    2016-07-01

    The development of enabling mass spectrometry platforms for the quantification of diverse lipid species in human urine is of paramount importance for understanding metabolic homeostasis in normal and pathophysiological conditions. Urine represents a non-invasive biofluid that can capture distinct differences in an individual's physiological status. However, currently there is a lack of quantitative workflows to engage in high throughput lipidomic analysis. This study describes the development of a MS/MS(ALL) shotgun lipidomic workflow and a micro liquid chromatography-high resolution tandem mass spectrometry (LC-MS/MS) workflow for urine structural and mediator lipid analysis, respectively. This workflow was deployed to understand biofluid sample handling and collection, extraction efficiency, and natural human variation over time. Utilization of 0.5 mL of urine for structural lipidomic analysis resulted in reproducible quantification of more than 600 lipid molecular species from over 20 lipid classes. Analysis of 1 mL of urine routinely quantified in excess of 55 mediator lipid metabolites comprised of octadecanoids, eicosanoids, and docosanoids generated by lipoxygenase, cyclooxygenase, and cytochrome P450 activities. In summary, the high-throughput functional lipidomics workflow described in this study demonstrates an impressive robustness and reproducibility that can be utilized for population health and precision medicine applications. PMID:27038173

  9. Real analysis foundations and functions of one variable

    Laczkovich, Miklós

    2015-01-01

    Based on courses given at Eötvös Loránd University (Hungary) over the past 30 years, this introductory textbook develops the central concepts of the analysis of functions of one variable - systematically, with many examples and illustrations, and in a manner that builds upon, and sharpens, the students' mathematical intuition. The modular organization of the book makes it adaptable for either semester or year-long introductory courses, while the wealth of material allows for it to be used at various levels of student sophistication in all programs where analysis is a part of the curriculum, including teachers' education. In the spirit of learning-by-doing, Real Analysis includes more than 500 engaging exercises for the student keen on mastering the basics of analysis. There are frequent hints and occasional complete solutions provided for the more challenging exercises making it an ideal choice for independent study. The book includes a solid grounding in the basics of logic and proofs, sets, and real numb...

  10. Morphometric analysis in gamma-ray astronomy using Minkowski functionals

    Klatt, Michael A.; Mecke, Klaus [Institut fuer Theoretische Physik, Universitaet Erlangen (Germany); ECAP, Universitaet Erlangen (Germany); Goering, Daniel [ECAP, Universitaet Erlangen (Germany); Stegmann, Christian [DESY (Germany); Universitaet Potsdam (Germany)

    2012-07-01

    H.E.S.S., an array of four imaging atmospheric Cherenkov telescopes for gamma-rays above 100 GeV, observes an increasing number of large extended sources. A new technique based on the morphology of the sky map is developed to account for these additional structures compared to the common point source analysis based on Li and Ma. Minkowski functionals are powerful measures from integral geometry, which comprise all additive scalar geometric information. They can be used to quantify the structure of the count rate map, which is then compared to the expected structure of a pure Poisson background. Gamma-ray sources lead to significant deviations from the expected background structure. The likelihood ratio method of Li and Ma is exclusively based on the number of excess counts and discards all further structure information of large extended sources. The morphometric data analysis incorporates this additional geometric information in an unbiased analysis, i.e. without the need of any prior knowledge about the source. We have already successfully applied our method to data of the H.E.S.S. experiment. The morphometric data analysis presented here is especially efficient in the detection of faint extended sources.

  11. Morphometric analysis in gamma-ray astronomy using Minkowski functionals

    H.E.S.S., an array of four imaging atmospheric Cherenkov telescopes for gamma-rays above 100 GeV, observes an increasing number of large extended sources. A new technique based on the morphology of the sky map is developed to account for these additional structures compared to the common point source analysis based on Li and Ma. Minkowski functionals are powerful measures from integral geometry, which comprise all additive scalar geometric information. They can be used to quantify the structure of the count rate map, which is then compared to the expected structure of a pure Poisson background. Gamma-ray sources lead to significant deviations from the expected background structure. The likelihood ratio method of Li and Ma is exclusively based on the number of excess counts and discards all further structure information of large extended sources. The morphometric data analysis incorporates this additional geometric information in an unbiased analysis, i.e. without the need of any prior knowledge about the source. We have already successfully applied our method to data of the H.E.S.S. experiment. The morphometric data analysis presented here is especially efficient in the detection of faint extended sources.

  12. Analysis of neutron flux measurement systems using statistical functions

    This work develops an integrated analysis for neutron flux measurement systems using the concepts of cumulants and spectra. Its major contribution is the generalization of Campbell's theorem in the form of spectra in the frequency domain, and its application to the analysis of neutron flux measurement systems. Campbell's theorem, in its generalized form, constitutes an important tool, not only to find the nth-order frequency spectra of the radiation detector, but also in the system analysis. The radiation detector, an ionization chamber for neutrons, is modeled for cylindrical, plane and spherical geometries. The detector current pulses are characterized by a vector of random parameters, and the associated charges, statistical moments and frequency spectra of the resulting current are calculated. A computer program is developed for application of the proposed methodology. In order for the analysis to integrate the associated electronics, the signal processor is studied, considering analog and digital configurations. The analysis is unified by developing the concept of equivalent systems that can be used to describe the cumulants and spectra in analog or digital systems. The noise in the signal processor input stage is analysed in terms of second order spectrum. Mathematical expressions are presented for cumulants and spectra up to fourth order, for important cases of filter positioning relative to detector spectra. Unbiased conventional estimators for cumulants are used, and, to evaluate systems precision and response time, expressions are developed for their variances. Finally, some possibilities for obtaining neutron radiation flux as a function of cumulants are discussed. In summary, this work proposes some analysis tools which make possible important decisions in the design of better neutron flux measurement systems. (author)

  13. Diagnostics of subtropical plants functional state by cluster analysis

    Oksana Belous

    2016-05-01

    Full Text Available The article presents an application example of statistical methods for data analysis on diagnosis of the adaptive capacity of subtropical plants varieties. We depicted selection indicators and basic physiological parameters that were defined as diagnostic. We used evaluation on a set of parameters of water regime, there are: determination of water deficit of the leaves, determining the fractional composition of water and detection parameters of the concentration of cell sap (CCS (for tea culture flushes. These settings are characterized by high liability and high responsiveness to the effects of many abiotic factors that determined the particular care in the selection of plant material for analysis and consideration of the impact on sustainability. On the basis of the experimental data calculated the coefficients of pair correlation between climatic factors and used physiological indicators. The result was a selection of physiological and biochemical indicators proposed to assess the adaptability and included in the basis of methodical recommendations on diagnostics of the functional state of the studied cultures. Analysis of complex studies involving a large number of indicators is quite difficult, especially does not allow to quickly identify the similarity of new varieties for their adaptive responses to adverse factors, and, therefore, to set general requirements to conditions of cultivation. Use of cluster analysis suggests that in the analysis of only quantitative data; define a set of variables used to assess varieties (and the more sampling, the more accurate the clustering will happen, be sure to ascertain the measure of similarity (or difference between objects. It is shown that the identification of diagnostic features, which are subjected to statistical processing, impact the accuracy of the varieties classification. Selection in result of the mono-clusters analysis (variety tea Kolhida; hazelnut Lombardsky red; variety kiwi Monty

  14. Chopped or long roughage: what do calves prefer? Using cross point analysis of double demand functions.

    Laura E Webb

    Full Text Available The present study aimed to quantify calves' (Bos taurus preference for long versus chopped hay and straw, and hay versus straw, using cross point analysis of double demand functions, in a context where energy intake was not a limiting factor. Nine calves, fed milk replacer and concentrate, were trained to work for roughage rewards from two simultaneously available panels. The cost (number of muzzle presses required on the panels varied in each session (left panel/right panel: 7/35, 14/28, 21/21, 28/14, 35/7. Demand functions were estimated from the proportion of rewards achieved on one panel relative to the total number of rewards achieved in one session. Cross points (cp were calculated as the cost at which an equal number of rewards was achieved from both panels. The deviation of the cp from the midpoint (here 21 indicates the strength of the preference. Calves showed a preference for long versus chopped hay (cp = 14.5; P = 0.004, and for hay versus straw (cp = 38.9; P = 0.004, both of which improve rumen function. Long hay may stimulate chewing more than chopped hay, and the preference for hay versus straw could be related to hedonic characteristics. No preference was found for chopped versus long straw (cp = 20.8; P = 0.910. These results could be used to improve the welfare of calves in production systems; for example, in systems where calves are fed hay along with high energy concentrate, providing long hay instead of chopped could promote roughage intake, rumen development, and rumination.

  15. An improved radial basis function network for structural reliability analysis

    Approximation methods such as response surface method and artificial neural network (ANN) method are widely used to alleviate the computation costs in structural reliability analysis. However most of the ANN methods proposed in the literature suffer various drawbacks such as poor choice of parameter setting, poor generalization and local minimum. In this study, a support vector machine-based radial basis function (RBF) network method is proposed, in which the improved RBF model is used to approximate the limit state function and then is connected to a reliability method to estimate failure probability. Since the learning algorithm of RBF network is replaced by the support vector algorithm, the advantage of the latter, such as good generalization ability and global optimization are propagated to the former, thus the inherent drawback of RBF network can be defeated. Numerical examples are given to demonstrate the applicability of the improved RBF network method in structural reliability analysis, as well as to illustrate the validity and effectiveness of the proposed method

  16. Structural and functional analysis of phytotoxin toxoflavin-degrading enzyme.

    Woo-Suk Jung

    Full Text Available Pathogenic bacteria synthesize and secrete toxic low molecular weight compounds as virulence factors. These microbial toxins play essential roles in the pathogenicity of bacteria in various hosts, and are emerging as targets for antivirulence strategies. Toxoflavin, a phytotoxin produced by Burkholderia glumae BGR1, has been known to be the key factor in rice grain rot and wilt in many field crops. Recently, toxoflavin-degrading enzyme (TxDE was identified from Paenibacillus polymyxa JH2, thereby providing a possible antivirulence strategy for toxoflavin-mediated plant diseases. Here, we report the crystal structure of TxDE in the substrate-free form and in complex with toxoflavin, along with the results of a functional analysis. The overall structure of TxDE is similar to those of the vicinal oxygen chelate superfamily of metalloenzymes, despite the lack of apparent sequence identity. The active site is located at the end of the hydrophobic channel, 9 Å in length, and contains a Mn(II ion interacting with one histidine residue, two glutamate residues, and three water molecules in an octahedral coordination. In the complex, toxoflavin binds in the hydrophobic active site, specifically the Mn(II-coordination shell by replacing a ligating water molecule. A functional analysis indicated that TxDE catalyzes the degradation of toxoflavin in a manner dependent on oxygen, Mn(II, and the reducing agent dithiothreitol. These results provide the structural features of TxDE and the early events in catalysis.

  17. Functional morphometric analysis of the furcula in mesozoic birds.

    Roger A Close

    Full Text Available The furcula displays enormous morphological and structural diversity. Acting as an important origin for flight muscles involved in the downstroke, the form of this element has been shown to vary with flight mode. This study seeks to clarify the strength of this form-function relationship through the use of eigenshape morphometric analysis coupled with recently developed phylogenetic comparative methods (PCMs, including phylogenetic Flexible Discriminant Analysis (pFDA. Additionally, the morphospace derived from the furculae of extant birds is used to shed light on possible flight adaptations of Mesozoic fossil taxa. While broad conclusions of earlier work are supported (U-shaped furculae are associated with soaring, strong anteroposterior curvature with wing-propelled diving, correlations between form and function do not appear to be so clear-cut, likely due to the significantly larger dataset and wider spectrum of flight modes sampled here. Interclavicular angle is an even more powerful discriminator of flight mode than curvature, and is positively correlated with body size. With the exception of the close relatives of modern birds, the ornithuromorphs, Mesozoic taxa tend to occupy unique regions of morphospace, and thus may have either evolved unfamiliar flight styles or have arrived at similar styles through divergent musculoskeletal configurations.

  18. Functional images analysis and visualization in positron emission tomography

    Essentially new information on the metabolism and pathophysiology is available since the recent past using techniques combining the use of positron emitters labelling radiopharmaceuticals, models correctly describing the process studied and system for the in vivo external detection of transverse section of the body. This method is currently called Positron Emission Tomography (PET). At the Service Hospitalier Frederic Joliot of the C.E.A. Departement of Biology, a system was developed for data analysis and colour-coded representation as a tool for functional interpretation. Indeed, the tomographic images, i.e. the radioactive concentration in the transverse section is often but the first step of the study, the actual goal being the regional distribution of a metabolic or physiologic parameter, itself derived from the former distribution by assumption of a model. Such a quantification assumes an accurate analysis of the factors involved in the obtention of the functional image, and the development of the software actually adapted to the clinician's needs. Special attention was given to the representation of graphs and images as a man-machine interface, a tool for model fitting and output of final results in pseudo-color scales adapted to the studied parameter

  19. Implicit functions and solution mappings a view from variational analysis

    Dontchev, Asen L

    2014-01-01

    The implicit function theorem is one of the most important theorems in analysis and its many variants are basic tools in partial differential equations and numerical analysis. This second edition of Implicit Functions and Solution Mappings presents an updated and more complete picture of the field by including solutions of problems that have been solved since the first edition was published, and places old and new results in a broader perspective. The purpose of this self-contained work is to provide a reference on the topic and to provide a unified collection of a number of results which are currently scattered throughout the literature. Updates to this edition include new sections in almost all chapters, new exercises and examples, updated commentaries to chapters and an enlarged index and references section. From reviews of the first edition: “The book commences with a helpful context-setting preface followed by six chapters. Each chapter starts with a useful preamble and concludes with a careful and ins...

  20. Hazard function analysis for flood planning under nonstationarity

    Read, Laura K.; Vogel, Richard M.

    2016-05-01

    The field of hazard function analysis (HFA) involves a probabilistic assessment of the "time to failure" or "return period," T, of an event of interest. HFA is used in epidemiology, manufacturing, medicine, actuarial statistics, reliability engineering, economics, and elsewhere. For a stationary process, the probability distribution function (pdf) of the return period always follows an exponential distribution, the same is not true for nonstationary processes. When the process of interest, X, exhibits nonstationary behavior, HFA can provide a complementary approach to risk analysis with analytical tools particularly useful for hydrological applications. After a general introduction to HFA, we describe a new mathematical linkage between the magnitude of the flood event, X, and its return period, T, for nonstationary processes. We derive the probabilistic properties of T for a nonstationary one-parameter exponential model of X, and then use both Monte-Carlo simulation and HFA to generalize the behavior of T when X arises from a nonstationary two-parameter lognormal distribution. For this case, our findings suggest that a two-parameter Weibull distribution provides a reasonable approximation for the pdf of T. We document how HFA can provide an alternative approach to characterize the probabilistic properties of both nonstationary flood series and the resulting pdf of T.

  1. A multivariate analysis of serum nutrient levels and lung function

    Smit Henriette A

    2008-09-01

    Full Text Available Abstract Background There is mounting evidence that estimates of intakes of a range of dietary nutrients are related to both lung function level and rate of decline, but far less evidence on the relation between lung function and objective measures of serum levels of individual nutrients. The aim of this study was to conduct a comprehensive examination of the independent associations of a wide range of serum markers of nutritional status with lung function, measured as the one-second forced expiratory volume (FEV1. Methods Using data from the Third National Health and Nutrition Examination Survey, a US population-based cross-sectional study, we investigated the relation between 21 serum markers of potentially relevant nutrients and FEV1, with adjustment for potential confounding factors. Systematic approaches were used to guide the analysis. Results In a mutually adjusted model, higher serum levels of antioxidant vitamins (vitamin A, beta-cryptoxanthin, vitamin C, vitamin E, selenium, normalized calcium, chloride, and iron were independently associated with higher levels of FEV1. Higher concentrations of potassium and sodium were associated with lower FEV1. Conclusion Maintaining higher serum concentrations of dietary antioxidant vitamins and selenium is potentially beneficial to lung health. In addition other novel associations found in this study merit further investigation.

  2. The Analysis of Learning Styles and Their Relationship to Academic Achievement in Medical Students of Basic Sciences Program

    Reza Ghaffari

    2013-10-01

    Full Text Available Introduction: Learning style is an individual’s preferred method of encountering information in specific situations in order to acquire knowledge, skills and attitudes through study or experience. Students and Planers’ awareness of learning styles facilitate the teaching process, increases satisfaction and makes the future choices easier. This study aimed to examine different learning styles and their relation to academic achievement in medical students of basic sciences program at Tabriz University of Medical Sciences. Methods: In this descriptive – analytical study, the sample consisted of all medical students of basic sciences program at Tabriz University of Medical Sciences in 2011-2012. The data was collected through a questionnaire which included respondents’ demographic information and overall grade point average (GPA as well as Kolb standard questions on learning styles. Results: 4.3%, 47.8%, 44.9% and 2.9% of students preferred diverger, assimilator, converger and accommodator learning styles, respectively. Mean overall GPA of students who preferred diverger learning styles was 14.990.39±. Students who prefer assimilator, converger and accommodator learning styles had mean overall GPAs of 14.940.56±, 15.080.58± and 14.830.29± respectively. The findings showed no significant relationship between students’ learning academic achievement and their learning styles (p = 0.689. Conclusion: There was no significant relationship between Students’ academic achievement and their learning styles. Furthermore, the majorit of the students preferred accommodator and converger learning styles. Consequently, adopting interactive teaching methods, using tutorials, running simulation programs, launching laboratory activities and encouraging students to think and analyze problems and issues can be greatly effective in prolonging their learning lifecycle.

  3. The Place of Multiple Intelligence in Achieving the Objectives and Goals of Open and Distance Learning Institutions: a critical analysis

    Felix Kayode OLAKULEIN

    2006-07-01

    Full Text Available This paper examined the nature of open and distance learning institutions as organizations where synergy of efforts of all personnel is required in other to achieve the aims and objectives of the institution. It explored the huge infrastructural and personnel requirements of distance learning institutions, especially at inception, and the wherewithal needed for the institutions to survive the challenges of the contemporary knowledge milieu and stand the test of time while ensuring the quality and standard of all the certificates that will be awarded over time. The paper seeks to evaluate the role of multiple-intelligence in the administration of open and distance learning institutions, given that multiple-intelligence allows for improvement in achievement, performance and skills (Sternberg, Turff & Grigenko, 1998. The paper concluded that the importance of multiple intelligence in the actualization of the broad goals and the specific objectives of distance learning institutions can not be overemphasized in the various aspects of the institutional framework of distance learning. It was also submitted that the discipline of distance

  4. Using estimated factor scores from a bifactor analysis to examine the unique effects of the latent variables measured by the WAIS-IV on academic achievement.

    Kranzler, John H; Benson, Nicholas; Floyd, Randy G

    2015-12-01

    This study used estimated factor scores from a bifactor analysis of the Wechsler Adult Intelligence Scale-Fourth Edition (WAIS-IV) to examine the unique effects of its latent variables on academic achievement. In doing so, we addressed the potential limitation of multicollinearity in previous studies of the incremental validity of the WAIS-IV. First, factor scores representing psychometric g and 4 group factors representing the WAIS-IV index scales were computed from a bifactor model. Subtest and composite scores for the Wechsler Individual Achievement Test-Third Edition (WIAT-II) were then predicted from these estimated factor scores in simultaneous multiple regression. Results of this study only partially replicated the findings of previous research on the incremental validity of scores that can be derived from performance on the WAIS-IV. Although we found that psychometric g is the most important underlying construct measured by the WAIS-IV for the prediction of academic achievement in general, results indicated that the unique effect of Verbal Comprehension is also important for predicting achievement in reading, spelling, and oral communication skills. Based on these results, measures of both psychometric g and Verbal Comprehension could be cautiously interpreted when considering high school students' performance in these areas of achievement. PMID:25844532

  5. ANALYSIS OF ACHIEVEMENT MOTIVATION AND SELF CONCEPT AMONG ATTACKER,SETTER AND LIBERO VOLLEY BALL PLAYERS”

    Mahantesh B.Khanapur

    2016-01-01

    Full Text Available Sports are psycho-social activity; Sports have a very important role in modern society. It is important to an individual, a group, a nation and indeed the world. Sports performance is the result and expression of the total personality of the sports man. The sports man is also to achieve high-level performance by concentrating on major areas like physical power, physiological efficiency, psychological development, application of bio-mechanics and environmental adjustments. The word ‘Sports’ occasionally denotes either to a pleasant part time or somewhat hazardous recreation. Today Sports are considered as international discipline as it develops international understanding and universal brotherhood. Sports develop national character and also it provides to fullest self expression to man and it is one of the fundamental needs. “The life is like sport. The lord is the greatest sportsman. He plays without thinking of winning or losing”.

  6. Chemical analysis of sewage sludge of southern sewerage treatment plant (SSTP) Hyderabad for achieving sustainable development in sector of agriculture

    A study on the chemical analysis of sewage sludge of southern sewerage treatment plant (SSPP) Hyderabad was studied. Chemical analysis on sludge samples collected form the waste stabilization for different micro-nutrients (essential manures, nitrogen, phosphorus, potassium, calcium and magnesium) were conducted in year 1999-2000. These nutrients and metal were detected by reliable analytical method i.e. Kjeldahls method and Atomic Absorption Spectrophotometer. The analysis showed that sewage sludge contained sufficient quantity of primary and secondary nutrients, hence sewage sludge could be utilized as a natural fertilizer. This will not only solve the disposal problem but it would also be environmentally safer way of providing regulators to the plants. (author)

  7. Gamma knife radiosurgery for acoustic neurinomas. Pt. 2. The analysis of functional outcome

    Forty-three patients with the unilateral type of acoustic neurinoma treated by gamma knife radiosurgery were evaluated from the viewpoint of functional preservation of cranial nerves and complications. The follow-up period ranged from 22 to 55 months (mean 36 months). The tumors, which ranged in volume from 0.1 to 18.7 ml (mean 4.0 ml), were treated with marginal radiation doses of 9-15 Gy (mean 13.4 Gy) with multiple isocenters (mean 8.7). Functional hearing was preserved in 80% of patients, and actuarial hearing preservation rates were 83% at 1 year, 77% at 2 years, and 77% at 3 years after gamma knife radiosurgery. No factor was found to correlate with hearing deterioration using Cox's proportional hazards regression model. Transient facial and trigeminal neuropathies occurred in 2.3% and 4.7% of patients, respectively. Ten patients (23%) experienced transient dizziness 3 to 6 months after radiosurgery, but only preradiosurgery canal palsy was found to correlate with this using multiple regression analysis (p=0.02). Three patients developed communicating hydrocephalus, which may have been due to the high cerebrospinal fluid protein concentration (mean 149 mg/dl). Our results show that gamma knife radiosurgery should be considered as alternative therapy for patients with small-to medium-sized acoustic neurinomas, especially in those with functional hearing, due to the high cranial nerve function preservation rates achieved with this procedure. (author)

  8. Nonlinear analysis of functionally graded laminates considering piezoelectric effect

    Behjat, Ba Shir [Mechanical Engineering Faculty Sahand Univ. of Technology, Sahand New Tawn (Iran, Islamic Republic of); Khoshravan Mohamad Reza [Tabriz Univ., Tabriz (Iran, Islamic Republic of)

    2012-08-15

    In this paper, static bending analysis of functionally graded plates with piezoelectric layers has been carried out considering geometrical nonlinearity in different sets of mechanical and electrical loadings. Only the geometrical nonlinearity has been taken into account. The governing equations are obtained using potential energy and Hamilton's principle. The finite element model is derived based on constitutive equation of piezoelectric material accounting for coupling between elasticity and electric effect by using higher order elements. The present finite element used displacement and electric potential as nodal degrees of freedom. Results are presented for two constituent FGM plate under different mechanical boundary conditions. Numerical results for FGM plate are given in dimensionless graphical forms. Effects of material composition and boundary conditions on nonlinear response of the plate are also studied.

  9. FUNCTIONAL ANALYSIS OF STUDENTS’ PERCEIVED BIAS IN NEWS REPORTS

    Meliha R. ŞİMŞEK

    2012-06-01

    Full Text Available As newspapers add their interpretations while reconstructing the representation of events, news reports are open to ideological influences. Although ideologies latent in discourse can be revealed with a functional text analysis, opinions other than an analyst’s must also be consulted in ideological analyses. In this study, 25 freshmen chosen as naive informants were asked to rank news reports about shoe assaults on Bush and Erdogan in terms of the bias they impart and to indicate the linguistic items that affect their perceptions. An open-ended question was administered to determine their views on in which case the event was reported more neutrally. The frequency of the data was calculated in Excel. Consequently, it was accepted by the students that newspapers exhibit a biased attitude in the report of similar assaults. Students’ perception of bias was most influenced by lexico-grammatical devices like word choice for process and participants, voice choice and specification of agency.

  10. Generating Functional Analysis for Iterative CDMA Multiuser Detectors

    Mimura, Kazushi

    2011-01-01

    We investigate the detection dynamics of a soft parallel interference canceller (soft-PIC), which includes a hard-PIC as a special case, for CDMA multiuser detection, applied to a randomly spread, fully synchronous base-band uncoded CDMA channel model with additive white Gaussian noise (AWGN) under perfect power control in the large-system limit. We analyze the detection dynamics of some iterative detectors, namely soft-PIC, the Onsager-reaction-cancelling parallel interference canceller (ORC-PIC) and the belief-propagation(BP)-based detector, by the generating functional analysis (GFA). The GFA allows us to study the asymptotic behavior of the dynamics in the infinitely large system without assuming the independence of messages. We study the detection dynamics and the stationary estimates of an iterative algorithm. We also show the decoupling principle in iterative multiuser detection algorithms in the large-system limit. For a generic iterative multiuser detection algorithm with binary input, it is shown th...

  11. PERIODIC DYADIC GREEN'S FUNCTION FOR FIELD ANALYSIS IN EMC CHAMBER

    Lv Feiyan; Ding Jianjin; Sha Fei

    2006-01-01

    Herein a novel Dyadic Green's Function (DGF) is presented to calculate the field in ElectroMagnetic Compatibility (EMC) chamber. Due to the difficulty of simulating the whole chamber environment, the analysis combines the DGF formulation and the FEM method, with the latter deals with the reflection from absorbers. With DGF formulation for infinite periodic array structures, this paper investigates electromagnetic field in chamber with truncated arrays. The reflection from the absorber serves as the virtual source contributing to the total field. Hence the whole chamber field calculation can be separated from the work of absorber model set-up. Practically the field homogeneity test and Normal Site Attenuation (NSA) test are carried out to evaluate the chamber performance. Based on the method in this paper, the simulation results agree well with the test, and predict successfully the victim frequency points of the chamber.

  12. Use of universal functional optimisation for TL glow curve analysis

    The effective use of any TL instrument requires an efficient software package to be able to fulfil different tasks required by research and practical applications. One of the standard features of the package used at the NPI Prague is the application of the interactive modular system Universal Functional Optimisation (UFO) for glow curve deconvolution. The whole system has been tested on standard glow curves using different models of the TL process (a single peak described by the Podgorsak approximation, first order kinetics and/or general order kinetics). Calculated values of basic TL parameters (E and s) show a good agreement with the results obtained by other authors. The main advantage of the system is in its modularity that enables flexible changes in the TL model and mathematical procedures of the glow curve analysis. (author)

  13. Framework for the analysis of the low-carbon scenario 2020 to achieve the national carbon Emissions reduction target: Focused on educational facilities

    Since the increase in greenhouse gas emissions has increased the global warming potential, an international agreement on carbon emissions reduction target (CERT) has been formulated in Kyoto Protocol (1997). This study aimed to develop a framework for the analysis of the low-carbon scenario 2020 to achieve the national CERT. To verify the feasibility of the proposed framework, educational facilities were used for a case study. This study was conducted in six steps: (i) selection of the target school; (ii) establishment of the reference model for the target school; (iii) energy consumption pattern analysis by target school; (iv) establishment of the energy retrofit model for the target school; (v) economic and environmental assessment through the life cycle cost and life cycle CO2 analysis; and (vi) establishment of the low-carbon scenario in 2020 to achieve the national CERT. This study can help facility managers or policymakers establish the optimal retrofit strategy within the limited budget from a short-term perspective and the low-carbon scenario 2020 to achieve the national CERT from the long-term perspective. The proposed framework could be also applied to any other building type or country in the global environment

  14. BRET biosensor analysis of receptor tyrosine kinase functionality

    StuartMaudsley

    2013-04-01

    Full Text Available Bioluminescence resonance energy transfer (BRET is an improved version of earlier resonance energy transfer technologies used for the analysis of biomolecular protein interaction. BRET analysis can be applied to many transmembrane receptor classes, however the majority of the early published literature on BRET has focused on G protein-coupled receptor (GPCR research. In contrast, there is limited scientific literature using BRET to investigate receptor tyrosine kinase (RTK activity. This limited investigation is surprising as RTKs often employ dimerization as a key factor in their activation, as well as being important therapeutic targets in medicine, especially in the cases of cancer, diabetes, neurodegenerative and respiratory conditions. In this review, we consider an array of studies pertinent to RTKs and other non-GPCR receptor protein-protein signaling interactions; more specifically we discuss receptor-protein interactions involved in the transmission of signaling communication. We have provided an overview of functional BRET studies associated with the receptor tyrosine kinase (RTK super family involving: neurotrophic receptors (e.g. tropomyosin-related kinase (Trk and p75 neurotrophin receptor (p75NTR; insulinotropic receptors (e.g. insulin receptor (IR and insulin-like growth factor receptor (IGFR and growth factor receptors (e.g. ErbB receptors including the EGFR, the fibroblast growth factor receptor (FGFR, the vascular endothelial growth factor receptor (VEGFR and the c-kit and platelet-derived growth factor receptor (PDGFR. In addition, we review BRET-mediated studies of other tyrosine kinase-associated receptors including cytokine receptors, i.e. leptin receptor (OB-R and the growth hormone receptor (GHR. It is clear even from the relatively sparse experimental RTK BRET evidence that there is tremendous potential for this technological application for the functional investigation of RTK biology.

  15. [Functional analysis of the thalamocortical pathways in eye movements].

    Kunimatsu, Jun; Tanaka, Masaki

    2011-08-01

    Although the roles of the thalamocortical pathways in somatic movements are well documented, their roles in eye movements have only recently been examined. The oculomotor-related areas in the frontal cortex receive inputs from the basal ganglia and the cerebellum via the thalamus. Consistent with this, neurons in the paralaminar part of the ventrolateral (VL), ventroanterior (VA), and mediodorsal (MD) nuclei and those in the intralaminar nuclei exhibit a variety of eye movement-related responses. To date, the thalamocortical pathways are known to play at least 2 roles in eye movements. First, they are involved in the generation of volitional, but not reactive, saccades. Thalamic neurons discharge during anti-saccades, which are known to be impaired in several neurological and psychiatric disorders, such as Parkinson's disease, attention deficit/hyperactivity disorder, and schizophrenia. In addition, neurons in the thalamus also exhibit a gradual increase in firing rate that predicts the timing of self-initiated saccades. Recent inactivation experiments have established the causal roles of these thalamic signals in the generation of volitional saccades. Second, the thalamocortical pathways transmit the efference copy signals for eye movements. During inactivation of the MD thalamus, which relays signals from the superior colliculus to the frontal eye field (FEF), the accuracy of the saccade is reduced in tasks requiring efference copy signals. In addition, inactivation of the same pathways reduces the predictive visual response associated with saccades in neurons in the FEF. Moreover the VL thalamus has been reported to play a role in monitoring smooth pursuit. While the functional analysis of thalamocortical pathways in eye movements is just a beginning, the anatomical data suggest their important roles. Analysis of eye movement control may shed light on the functions of the thalamocortical pathways in general, and may reveal the neural mechanisms of cerebro

  16. Fast dynamics perturbation analysis for prediction of protein functional sites

    Cohn Judith D

    2008-01-01

    Full Text Available Abstract Background We present a fast version of the dynamics perturbation analysis (DPA algorithm to predict functional sites in protein structures. The original DPA algorithm finds regions in proteins where interactions cause a large change in the protein conformational distribution, as measured using the relative entropy Dx. Such regions are associated with functional sites. Results The Fast DPA algorithm, which accelerates DPA calculations, is motivated by an empirical observation that Dx in a normal-modes model is highly correlated with an entropic term that only depends on the eigenvalues of the normal modes. The eigenvalues are accurately estimated using first-order perturbation theory, resulting in a N-fold reduction in the overall computational requirements of the algorithm, where N is the number of residues in the protein. The performance of the original and Fast DPA algorithms was compared using protein structures from a standard small-molecule docking test set. For nominal implementations of each algorithm, top-ranked Fast DPA predictions overlapped the true binding site 94% of the time, compared to 87% of the time for original DPA. In addition, per-protein recall statistics (fraction of binding-site residues that are among predicted residues were slightly better for Fast DPA. On the other hand, per-protein precision statistics (fraction of predicted residues that are among binding-site residues were slightly better using original DPA. Overall, the performance of Fast DPA in predicting ligand-binding-site residues was comparable to that of the original DPA algorithm. Conclusion Compared to the original DPA algorithm, the decreased run time with comparable performance makes Fast DPA well-suited for implementation on a web server and for high-throughput analysis.

  17. Functional nanoparticles translocation into cell and adhesion force curve analysis.

    Lee, Haisung; Veerapandian, Murugan; Kim, Byung Tae; Yun, Kyusik; Seo, Soo-Won

    2012-10-01

    The aim of this research is to investigate the cell translocation of two functional nanoparticles (barium sulfate (BaSO4NPs), europium (III) doped gadolinium oxide nanoparticles (Gd2O3@EuNPs)) into A549 cells by Bio-Atomic Force Microscopy (Bio-AFM). Successful cell translocation of these two nanoparticles are ensured from the measurement of changes in the cell surface roughness and interaction (extension), retraction forces from the vertical deflection of tip towards substrate surfaces through force-distance curve slope analysis. Measurement of typical adhesion forces (i.e., extension and retraction) between the tip-substrate (0.0963 and 1.155 nN), tip-A549 cell substrate (0.1177 and 2.468 nN), tip-Gd2O3@EuNPs/A549 substrate (0.0785 and 0.4276 nN) and tip-BaSO4NPs/A549 substrate (0.518 and 6.838 nN) confirms the successful cell translocation of functional nanoparticles into A549 cells. Further the nanoscale resolution of topographical height and 3D images evinces the surface characteristics of normal A549 cells and nanoparticles translocated A549 cells. PMID:23421137

  18. Functional analysis of virion host shutoff protein of pseudorabies virus

    During lytic infection, the virion host shutoff (vhs) protein of alphaherpesviruses causes the degradation of mRNAs nonspecifically. In this work, we cloned the vhs gene (UL41 open reading frame) of pseudorabies virus (PRV; TNL strain) by PCR, and its nucleotide sequences were determined. The PCR product of vhs gene was subcloned into the prokaryotic pET32b expression vector, and production of the recombinant vhs protein was examined by SDS-PAGE. Result of Western blotting demonstrated that our recombinant vhs protein reacted with antiserum against a synthetic peptide of 17 amino acids of the vhs protein. After purification with nickel-chelate affinity chromatography, the purified recombinant vhs protein exhibited in vitro ribonuclease activity as expected. We further cloned the vhs gene into eukaryotic expression vectors and investigated the intracellular function of vhs protein by DNA transfection. By transient trasfection and CAT assay, we found the CAT activity was reduced in the presence of vhs, indicating that degradation of mRNA of the CAT gene was caused by the vhs. Furthermore, our results showed that the plaque formation of pseudorabies virus was blocked by exogenous vhs. Taken together, we have cloned the vhs gene of pseudorabies virus (TNL strain) and conducted functional analysis of the recombinant vhs protein in vitro as well as in vivo

  19. Ritz analysis of discontinuous beams using local trigonometric functions

    Dang, Thi D.; Kapania, Rakesh K.; Patil, Mayuresh J.

    2011-03-01

    The objective of the current paper is to present a Ritz-type analytical model for predicting the behavior of discontinuous beams such as thin-walled beams with cracks and multiply-stepped beams. The beam is discretized in the cracked as well as the un-cracked domains for a cracked thin-walled beam and in uniform beams for a multiple-stepped beam. A set of local trigonometric trial functions is used to define the twist angle for the cracked domain and the un-cracked domains, as well as to define the displacement field for uniform domains. A global equation system of unknown Ritz coefficients is derived by minimizing the Lagrangian functional or the total potential energy. In the present Ritz model, the interface continuity conditions between sub-domains are investigated and enforced into the global equation system using the condensation procedure or the Lagrange multipliers. Examples are presented to illustrate the effectiveness of the current model for free vibration and torsional analysis. Results obtained from the current model are found to agree well with those obtained using a detailed finite element method or with existing results in literature. The proposed model offers an efficient approach to reduce the modeling efforts and computational time required to analyze complex beams with cracks or multiple steps.

  20. FTIR Analysis of Functional Groups in Aerosol Particles

    Shokri, S. M.; McKenzie, G.; Dransfield, T. J.

    2012-12-01

    Secondary organic aerosols (SOA) are suspensions of particulate matter composed of compounds formed from chemical reactions of organic species in the atmosphere. Atmospheric particulate matter can have impacts on climate, the environment and human health. Standardized techniques to analyze the characteristics and composition of complex secondary organic aerosols are necessary to further investigate the formation of SOA and provide a better understanding of the reaction pathways of organic species in the atmosphere. While Aerosol Mass Spectrometry (AMS) can provide detailed information about the elemental composition of a sample, it reveals little about the chemical moieties which make up the particles. This work probes aerosol particles deposited on Teflon filters using FTIR, based on the protocols of Russell, et al. (Journal of Geophysical Research - Atmospheres, 114, 2009) and the spectral fitting algorithm of Takahama, et al (submitted, 2012). To validate the necessary calibration curves for the analysis of complex samples, primary aerosols of key compounds (e.g., citric acid, ammonium sulfate, sodium benzoate) were generated, and the accumulated masses of the aerosol samples were related to their IR absorption intensity. These validated calibration curves were then used to classify and quantify functional groups in SOA samples generated in chamber studies by MIT's Kroll group. The fitting algorithm currently quantifies the following functionalities: alcohols, alkanes, alkenes, amines, aromatics, carbonyls and carboxylic acids.

  1. Speciation analysis of arsenic by hydride generation-cryotrapping-atomic fluorescence spectrometry: achieving extremely low detection limits with inexpensive instrumentation

    Musil, Stanislav; Matoušek, Tomáš; Svoboda, Milan; Selecká, Anna; Rychlovský, P.; Dědina, Jiří

    Münster, 2011. FTM17. [Internaional Symposium on Metallomics /3./. 15.06.2011-18.06.2011, Münster] R&D Projects: GA ČR GA203/09/1783 Institutional research plan: CEZ:AV0Z40310501 Keywords : arsenic speciation analysis * hydride generation * atonmic fluorescence spectrometry Subject RIV: CB - Analytical Chemistry, Separation

  2. Functional analysis and modelling of vegetation: plant functional types in a mesocosmos experiment and a mechanistic model

    Lehsten, Veiko

    2005-01-01

    The focus of this thesis lies on the functional analysis and modelling of vegetation. A statistical method for the optimisation of plant functional types is developed in the first part. The fourth corner method by Pierre Legendre et al. was adapted to the task of grouping of plant functional types. New null models are developed for this randomisation method and their statistical properties are investigated. The mechanistical model LEGOMODEL is used to simulate the succession of plant function...

  3. Analysis of Advanced Thermoelectric Materials and Their Functional Limits

    Kim, Hyun Jung

    2015-01-01

    The world's demand for energy is increasing dramatically, but the best energy conversion systems operate at approximately 30% efficiency. One way to decrease energy loss is in the recovery of waste heat using thermoelectric (TE) generators. A TE generator is device that generates electricity by exploiting heat flow across a thermal gradient. The efficiency of a TE material for power generation and cooling is determined by the dimensionless Figure of Merit (ZT): ZT = S(exp. 2)sigmaT/?: where S is the Seebeck coefficient, sigma is the electrical conductivity, T is the absolute temperature, and ? is the thermal conductivity. The parameters are not physically independent, but intrinsically coupled since they are a function of the transport properties of electrons. Traditional research on TE materials has focused on synthesizing bulk semiconductor-type materials that have low thermal conductivity and high electrical conductivity affording ZT values of 1. The optimization of the s/? ratio is difficult to achieve using current material formats, as these material constants are complementary. Recent areas of research are focusing on using nanostructural artifacts that introduce specific dislocations and boundary conditions that scatter the phonons. This disrupts the physical link between thermal (phonon) and electrical (electron) transport. The result is that ? is decreased without decreasing s. These material formats give ZT values of up to 2 which represent approximately 18% energy gain from waste heat recovery. The next challenge in developing the next generation of TE materials with superior performance is to tailor the interconnected thermoelectric physical parameters of the material system. In order to approach this problem, the fundamental physics of each parameter S, sigma, and ? need to be physically understood in their context of electron/phonon interaction for the construction of new high ZT thermoelectric devices. Is it possible to overcome the physical limit

  4. Analysis of reproductive function in persons exposed to chronic radiation

    The purpose of the study was to analyze the reproductive function in individuals exposed to radiation in the riverside villages on the Techa in the Southern Urals. The exposure of the population, numbering 28000, occurred in 1950-1956 as a result of discharges into the river of radioactive wastes from the Mayak facility for processing weapon plutonium. The residents were exposed to chronic radiation, both external and internal. The range of exposure doses to gonads was sufficiently wide: 20-1270 mSv. However, the distribution of doses among the exposed individuals was ununiform, and the proportion of people whose dose was below 120 mGy accounted for 74%. The following characteristics of exposed women were analyzed: menstrual function, outcomes of pregnancy, birth rates, health status for newborns. The analysis of the menstrual function in exposed women showed that in persons exposed in childhood, menarche was registered at the age of 14.3 years, on the average (based on literature sources, menarche is attained at the age of 13 for unexposed population). The mean age at menopause was 47.9 years for exposed women (the respective mean value for Russia is 50.8 years). Pregnancy outcomes were analyzed in 9000 exposed women. The rate of medical and criminal abortions was estimated as 79 per 100 labors. The rate of spontaneous abortions for exposed women was slightly higher, 3.11%, than for controls, 2.30%; these difference, however, were statistically insignificant. The total loss of fetus or neonate (unfavorable outcomes of pregnancy: spontaneous abortions, stillbirths, early neonatal death) was estimated to be 4.58% at zero dose. Exposure to gonads at the dose 1 Sv, estimated using the above-indicated method, yielded 3% of additional unfavorable outcomes of pregnancy. It was shown, based on the analysis of birth rates for the Techa Cohort that they had not undergone any essential changes over the first 25 years of exposure compared to the respective coefficients for

  5. Analysis of reproductive function in persons exposed to chronic radiation

    Kossenko, M.M.; Ostroumova, E.V.; Vyushkova, O.V. [Urals Research Center for Radiation Medicine, Chelyabinsk (Russian Federation)

    2000-05-01

    The purpose of the study was to analyze the reproductive function in individuals exposed to radiation in the riverside villages on the Techa in the Southern Urals. The exposure of the population, numbering 28000, occurred in 1950-1956 as a result of discharges into the river of radioactive wastes from the Mayak facility for processing weapon plutonium. The residents were exposed to chronic radiation, both external and internal. The range of exposure doses to gonads was sufficiently wide: 20-1270 mSv. However, the distribution of doses among the exposed individuals was ununiform, and the proportion of people whose dose was below 120 mGy accounted for 74%. The following characteristics of exposed women were analyzed: menstrual function, outcomes of pregnancy, birth rates, health status for newborns. The analysis of the menstrual function in exposed women showed that in persons exposed in childhood, menarche was registered at the age of 14.3 years, on the average (based on literature sources, menarche is attained at the age of 13 for unexposed population). The mean age at menopause was 47.9 years for exposed women (the respective mean value for Russia is 50.8 years). Pregnancy outcomes were analyzed in 9000 exposed women. The rate of medical and criminal abortions was estimated as 79 per 100 labors. The rate of spontaneous abortions for exposed women was slightly higher, 3.11%, than for controls, 2.30%; these difference, however, were statistically insignificant. The total loss of fetus or neonate (unfavorable outcomes of pregnancy: spontaneous abortions, stillbirths, early neonatal death) was estimated to be 4.58% at zero dose. Exposure to gonads at the dose 1 Sv, estimated using the above-indicated method, yielded 3% of additional unfavorable outcomes of pregnancy. It was shown, based on the analysis of birth rates for the Techa Cohort that they had not undergone any essential changes over the first 25 years of exposure compared to the respective coefficients for

  6. Orthogonal analysis of functional gold nanoparticles for biomedical applications.

    Tsai, De-Hao; Lu, Yi-Fu; DelRio, Frank W; Cho, Tae Joon; Guha, Suvajyoti; Zachariah, Michael R; Zhang, Fan; Allen, Andrew; Hackley, Vincent A

    2015-11-01

    We report a comprehensive strategy based on implementation of orthogonal measurement techniques to provide critical and verifiable material characteristics for functionalized gold nanoparticles (AuNPs) used in biomedical applications. Samples were analyzed before and after ≈50 months of cold storage (≈4 °C). Biomedical applications require long-term storage at cold temperatures, which could have an impact on AuNP therapeutics. Thiolated polyethylene glycol (SH-PEG)-conjugated AuNPs with different terminal groups (methyl-, carboxylic-, and amine-) were chosen as a model system due to their high relevancy in biomedical applications. Electrospray-differential mobility analysis, asymmetric-flow field flow fractionation, transmission electron microscopy, scanning electron microscopy, atomic force microscopy, inductively coupled plasma mass spectrometry, and small-angle X-ray scattering were employed to provide both complementary and orthogonal information on (1) particle size and size distribution, (2) particle concentrations, (3) molecular conjugation properties (i.e., conformation and surface packing density), and (4) colloidal stability. Results show that SH-PEGs were conjugated on the surface of AuNPs to form a brush-like polymer corona. The surface packing density of SH-PEG was ≈0.42 nm(-2) for the methyl-PEG-SH AuNPs, ≈0.26 nm(-2) for the amine-SH-PEG AuNPs, and ≈0.18 nm(-2) for the carboxylic-PEG-SH AuNPs before cold storage, approximately 10 % of its theoretical maximum value. The conformation of surface-bound SH-PEGs was then estimated to be in an intermediate state between brush-like and random-coiled, based on the measured thicknesses in liquid and in dry states. By analyzing the change in particle size distribution and number concentration in suspension following cold storage, the long term colloidal stability of AuNPs was shown to be significantly improved via functionalization with SH-PEG, especially in the case of methyl-PEG-SH and carboxylic

  7. Using functional analysis to determine if esthetically driven treatment requires comprehensive care for long-term success.

    Sklyarov, Ilya

    2015-02-01

    This article reviews the case of a male patient with esthetic concerns about a large diastema between teeth Nos. 8 and 9. Through functional analysis, the clinician determined that the patient had a mild temporomandibular disorder, as well as a constriction in his anterior envelope of function. These issues will affect the prognosis of treatment if only orthodontics is used to close the diastema. The clinician determined that implementing a systematic treatment planning approach was critical in achieving a successful outcome, which was accomplished with a combination of orthodontics, occlusal deprogramming, and complex prosthodontics restorations. PMID:25822640

  8. Age-Related Differences and Heterogeneity in Executive Functions: Analysis of NAB Executive Functions Module Scores.

    Buczylowska, Dorota; Petermann, Franz

    2016-05-01

    Normative data from the German adaptation of the Neuropsychological Assessment Battery were used to examine age-related differences in 6 executive function tasks. A multivariate analysis of variance was employed to investigate the differences in performance in 484 participants aged 18-99 years. The coefficient of variation was calculated to compare the heterogeneity of scores between 10 age groups. Analyses showed an increase in the dispersion of scores with age, varying from 7% to 289%, in all subtests. Furthermore, age-dependent heterogeneity appeared to be associated with age-dependent decline because the subtests with the greatest increase in dispersion (i.e., Mazes, Planning, and Categories) also exhibited the greatest decrease in mean scores. In contrast, scores for the subtests Letter Fluency, Word Generation, and Judgment had the lowest increase in dispersion with the lowest decrease in mean scores. Consequently, the results presented here show a pattern of age-related differences in executive functioning that is consistent with the concept of crystallized and fluid intelligence. PMID:26953227

  9. America's progress in achieving the legalization of same-gender adoption: analysis of public opinion, 1994 to 2012.

    Montero, Darrel M

    2014-10-01

    The struggle to achieve the legalization of same-gender adoption is ongoing. Notably, not until 2011 was adoption by a lesbian, gay, bisexual, or transgender individual legalized in all 50 states and the District of Columbia, and adoption by same-gender couples is still illegal in many states. Anti-adoption forces are ever-present: From 2011 to 2013, at least five states passed laws granting faith-based agencies the right to refuse service to same-gender couples or to give preference to heterosexual couples. The aim of this article is, first, to examine the challenges confronting the legalization of same-gender adoption; second, to report the current legal status of same-gender adoption for each state; third, to report on Americans' attitudes toward the legalization of same-gender adoption from 1994 to 2012, drawing from previously published surveys of a cross section of Americans; and, fourth, to explore the implications for social work practice, including social advocacy and social policy implementation. PMID:25365833

  10. Variables that predict academic achievement in the Spanish compulsory secondary educational system: a longitudinal, multi-level analysis.

    Martín, Elena; Martínez-Arias, Rosario; Marchesi, Alvaro; Pérez, Eva M

    2008-11-01

    This article presents a study whose objective was to identify certain personal and institutional variables that are associated with academic achievement among Spanish, secondary school students, and to analyze their influence on the progress of those students over the course of that stage of their education. In order to do this, a longitudinal, multi-level study was conducted in which a total of 965 students and 27 different schools were evaluated in Language, Math and Social Science at three different times (beginning, middle and end of the period). The results show progress in all the schools and in all areas. As for the personal, student variables, the longitudinal, HLM analyses confirmed the importance of sex and sociocultural background and, distinguishing it from other studies, also the predictive capacity of meta-cognitive abilities and learning strategies on success in school. On the institutional level, the school climate and teachers' expectations of their students were the most relevant of the variables studied. The size of the school, the percentage of students who repeat grades, and the leadership of the administration also explained a portion of the variance in some areas. PMID:18988427

  11. Speciation analysis of arsenic by hydride generation-cryotrapping-atomic fluorescence spectrometry: achieving extremely low detection limits with inexpensive instrumentation

    Musil, Stanislav; Matoušek, Tomáš; Svoboda, Milan; Selecká, Anna; Rychlovský, P.; Dědina, Jiří

    Buzios, Rio de Janeiro, 2011. TH43. ISBN 978-85-8006-046-1. [Colloquium Spectroscopicum Internationale /37./. 28.08.2011-02.09.2011, Buzios, Rio de Janeiro] R&D Projects: GA ČR GA203/09/1783 Institutional research plan: CEZ:AV0Z40310501 Keywords : arsenic speciation analysis * hydride generation * atomic fluorescence spectrometry Subject RIV: CB - Analytical Chemistry, Separation

  12. Speciation analysis of arsenic by hydride generation-cryotrapping-atomic fluorescence spectrometry: achieving extremely low detection limits with inexpensive instrumentation

    Musil, Stanislav; Matoušek, Tomáš; Svoboda, Milan; Selecká, Anna; Rychlovský, P.; Dědina, Jiří

    Münster, 2011. FTM 17. [International Symposium on Metallomics /3./. 15.06.2011-18.06.2011, Münster] R&D Projects: GA ČR GA203/09/1783 Institutional research plan: CEZ:AV0Z40310501 Keywords : arsenic speciation analysis * hydride generation * atomic fluorescence spectrometry Subject RIV: CB - Analytical Chemistry, Separation http://www.metallomics2011.org/event/Metallomics2011/Scientific_program.html

  13. Application of Gaussian Process Modeling to Analysis of Functional Unreliability

    R. Youngblood

    2014-06-01

    This paper applies Gaussian Process (GP) modeling to analysis of the functional unreliability of a “passive system.” GPs have been used widely in many ways [1]. The present application uses a GP for emulation of a system simulation code. Such an emulator can be applied in several distinct ways, discussed below. All applications illustrated in this paper have precedents in the literature; the present paper is an application of GP technology to a problem that was originally analyzed [2] using neural networks (NN), and later [3, 4] by a method called “Alternating Conditional Expectations” (ACE). This exercise enables a multifaceted comparison of both the processes and the results. Given knowledge of the range of possible values of key system variables, one could, in principle, quantify functional unreliability by sampling from their joint probability distribution, and performing a system simulation for each sample to determine whether the function succeeded for that particular setting of the variables. Using previously available system simulation codes, such an approach is generally impractical for a plant-scale problem. It has long been recognized, however, that a well-trained code emulator or surrogate could be used in a sampling process to quantify certain performance metrics, even for plant-scale problems. “Response surfaces” were used for this many years ago. But response surfaces are at their best for smoothly varying functions; in regions of parameter space where key system performance metrics may behave in complex ways, or even exhibit discontinuities, response surfaces are not the best available tool. This consideration was one of several that drove the work in [2]. In the present paper, (1) the original quantification of functional unreliability using NN [2], and later ACE [3], is reprised using GP; (2) additional information provided by the GP about uncertainty in the limit surface, generally unavailable in other representations, is discussed

  14. Motivation and achievements

    Stefanova, Sladzana; Miceski, Trajko

    2015-01-01

    Motivation of employees as management function is an important factor in encouraging, guiding and strengthening the behavior of employees in organizations. For one organization is very important the employees to be motivated, only thus will be achieved its objectives. The manager is usually responsible for the motivation of employees and for fulfilment their needs in the workplace, but it is recommended the employees to motivate themselves. Generally, employees are working t...

  15. Functional neuroanatomy of meditation: A review and meta-analysis of 78 functional neuroimaging investigations.

    Fox, Kieran C R; Dixon, Matthew L; Nijeboer, Savannah; Girn, Manesh; Floman, James L; Lifshitz, Michael; Ellamil, Melissa; Sedlmeier, Peter; Christoff, Kalina

    2016-06-01

    Meditation is a family of mental practices that encompasses a wide array of techniques employing distinctive mental strategies. We systematically reviewed 78 functional neuroimaging (fMRI and PET) studies of meditation, and used activation likelihood estimation to meta-analyze 257 peak foci from 31 experiments involving 527 participants. We found reliably dissociable patterns of brain activation and deactivation for four common styles of meditation (focused attention, mantra recitation, open monitoring, and compassion/loving-kindness), and suggestive differences for three others (visualization, sense-withdrawal, and non-dual awareness practices). Overall, dissociable activation patterns are congruent with the psychological and behavioral aims of each practice. Some brain areas are recruited consistently across multiple techniques-including insula, pre/supplementary motor cortices, dorsal anterior cingulate cortex, and frontopolar cortex-but convergence is the exception rather than the rule. A preliminary effect-size meta-analysis found medium effects for both activations (d=0.59) and deactivations (d=-0.74), suggesting potential practical significance. Our meta-analysis supports the neurophysiological dissociability of meditation practices, but also raises many methodological concerns and suggests avenues for future research. PMID:27032724

  16. Construction and Dimension Analysis for a Class of Fractal Functions

    Hong-yong Wang; Zong-ben Xu

    2002-01-01

    In this paper, we construct a class of nowhere differentiable continuous functions by means of the Cantor series expression of real numbers. The constructed functions include some known nondifferentiable functions, such as Bush type functions. These functions are fractal functions since their graphs are in general fractal sets. Under certain conditions, we investigate the fractal dimensions of the graphs of these functions,compute the precise values of Box and Packing dimensions, and evaluate the Hausdorff dimension. Meanwhile,the Holder continuity of such functions is also discussed.

  17. Meta-analysis of 41 Functional Neuroimaging Studies of Executive Function in Schizophrenia

    Minzenberg, Michael J.; Laird, Angela R.; Thelen, Sarah; Carter, Cameron S.; Glahn, David C.

    2010-01-01

    Context: Prefrontal cortical dysfunction is frequently reported in schizophrenia. It remains unclear whether this represents the coincidence of several prefrontal region- and process-specific impairments or a more unitary dysfunction in a superordinate cognitive control network. Whether these impairments are properly considered reflective of hypofrontality vs hyperfrontality remains unresolved. Objectives: To test whether common nodes of the cognitive control network exhibit altered activity across functional neuroimaging studies of executive cognition in schizophrenia and to evaluate the direction of these effects. Data Sources: PubMed database. Study Selection: Forty-one English-language, peer-reviewed articles published prior to February 2007 were included. All reports used functional neuroimaging during executive function performance by adult patients with schizophrenia and reported whole-brain analyses in standard stereotactic space. Tasks primarily included the delayed match-to-sample, N-back, AX-CPT, and Stroop tasks. Data Extraction: Activation likelihood estimation modeling reported activation maxima as the center of a 3-dimensional gaussian function in the meta-analysis, with statistical thresholding and correction for multiple comparisons. Data Synthesis: In within-group analyses, healthy controls and patients activated a similarly distributed cortical-subcortical network, prominently including the dorsolateral prefrontal cortex (PFC), ventrolateral PFC, anterior cingulate cortex (ACC), and thalamus. In between-group analyses, patients showed reduced activation in the left dorsolateral PFC, rostral/dorsal ACC, left thalamus (with significant co-occurrence of these areas), and inferior/ posterior cortical areas. Increased activation was observed in several midline cortical areas. Activation within groups varied modestly by task. Conclusions: Healthy adults and schizophrenic patients activate a qualitatively similar neural network during executive task

  18. Functional analysis of ultra high information rates conveyed by rat vibrissal primary afferents

    André Maia Chagas

    2013-12-01

    Full Text Available Sensory receptors determine the type and the quantity of information available for perception. Here, we quantified and characterized the information transferred by primary afferents in the rat whisker system using neural system identification. Quantification of ‘how much’ information is conveyed by primary afferents, using the direct method, a classical information theoretic tool, revealed that primary afferents transfer huge amounts of information (up to 529 bits/s. Information theoretic analysis of instantaneous spike-triggered kinematic stimulus features was used to gain functional insight on ‘what’ is coded by primary afferents. Amongst the kinematic variables tested - position, velocity, and acceleration - primary afferent spikes encoded velocity best. The other two variables contribute to information transfer, but only if combined with velocity. We further revealed three additional characteristics that play a role in information transfer by primary afferents. Firstly, primary afferent spikes show preference for well separated multiple stimuli (i.e. well separated sets of combinations of the three instantaneous kinematic variables. Secondly, spikes are sensitive to short strips of the stimulus trajectory (up to 10 ms pre-spike time, and thirdly, they show spike patterns (precise doublet and triplet spiking. In order to deal with these complexities, we used a flexible probabilistic neuron model fitting mixtures of Gaussians to the spike triggered stimulus distributions, which quantitatively captured the contribution of the mentioned features and allowed us to achieve a full functional analysis of the total information rate indicated by the direct method. We found that instantaneous position, velocity, and acceleration explained about 50% of the total information rate. Adding a 10 ms pre-spike interval of stimulus trajectory achieved 80-90%. The final 10-20% were found to be due to non-linear coding by spike bursts.

  19. Analysis of the Factors Influencing Functional Outcomes in Patients with Spinal Cord Injury

    Milicevic, Sasa; Piscevic, Vladimir; Bukumiric, Zoran; Nikolic, Aleksandra Karadzov; Sekulic, Aleksandra; Corac, Aleksandar; Babovic, Rade; Jankovic, Slobodan

    2014-01-01

    [Purpose] The extent of functional independence ultimately achieved by an individual patient will be influenced by a variety of medical and non-medical factors. [Subjects and Methods] this study included 419 patients with spinal cord lesions treated in the Clinic for Rehabilitation “Dr M. Zotovic”, Belgrade, Serbia, from January 2000 to December 2009. The patients were divided in two groups according to achievement of increase in Functional Independence Measure (FIM) score of more than 13 at ...

  20. Economic analysis of the profitability of energy-saving architectural measures for the achievement of the EPB-standard

    Energy efficiency in buildings has become a key goal of any energy policy. Europe relies on the Energy Performance of Buildings Directive (EPBD), which has been converted by Flanders into the 'Energy Performance and Interior Climate' (EPB). Taking into account this Flemish EPB-standard (in terms of maximum U-values, E-level and K-value), this study seeks the economically most profitable combination of insulation - facade, roof, floor and glazing - for the Flemish citizen. For this purpose, a scenario-analysis is conducted using the EPB-software Flanders and a self-designed Excel file. Based on some important profitability criteria, the most profitable combination is determined for three representative types of dwellings studied. The scenario-analysis generates some well-founded guidelines for the Flemish citizen when building a house. It shows that in order to ensure the maximum profitability from investment in insulation, the key factor for the semi-detached dwelling is the insulation of roof and floor, whereas for a detached dwelling the key factor is the insulation of facade and floor. As a subsidiary consideration, the study also indicates that the U-values resulting from the more stringent E-level are still not sufficiently stringent because the U-values obtained for the most profitable combination are far below their maximum value. The same consideration applies in the case of the K-value.

  1. Structural and functional analysis of a bacterial cellulase by proteolysis.

    Gilkes, N R; Kilburn, D G; Miller, R C; Warren, R A

    1989-10-25

    CenA is an endo-beta 1,4-glucanase from the cellulolytic bacterium Cellulomonas fimi. It is a bifunctional enzyme comprising an amino-terminal cellulose-binding domain and a carboxyl-terminal catalytic domain joined by a short sequence of prolyl and threonyl residues (the Pro-Thr box). Additional structural and functional information was revealed by a detailed analysis of the products generated by proteolytic cleavage of a nonglycosylated form of CenA. An extracellular C. fimi protease attacked nonglycosylated CenA at the junctions between the Pro-Thr box and the two functional domains. A stable "core" peptide (p30), corresponding to the catalytic domain, remained after extensive proteolysis. p30 was resistant to further attack even in the presence of 2-mercaptoethanol plus urea or dithiothreitol, but treatment in the presence of sodium dodecyl sulfate allowed complete fragmentation to small peptides. Stable peptides, identical, or closely related to p30, were generated by alpha-chymotrypsin or papain. These results indicated that the catalytic domain adopts a tightly folded conformation affording protection from proteolytic attack. In contrast, the cellulose-binding domain showed a relatively loose conformation. Progressive proteolytic truncation from the amino terminus was apparent during incubation with alpha-chymotrypsin or papain, or with C. fimi protease under reducing conditions. Affinity for cellulose was retained by products missing up to 64 amino-terminal amino acids. The remaining carboxyl-proximal region of the cellulose-binding domain with affinity (47 amino acids) contained sequences highly conserved in analogous domains from other bacterial endo-beta 1,4-glucanases. By analogy with other systems, the properties of the Pro-Thr box are consistent with an elongated conformation. The results of this investigation suggest that CenA has a tertiary structure which resembles that of certain fungal cellulases. PMID:2681184

  2. Functional Analysis of Shewanella, a cross genome comparison.

    Serres, Margrethe H.

    2009-05-15

    The bacterial genus Shewanella includes a group of highly versatile organisms that have successfully adapted to life in many environments ranging from aquatic (fresh and marine) to sedimentary (lake and marine sediments, subsurface sediments, sea vent). A unique respiratory capability of the Shewanellas, initially observed for Shewanella oneidensis MR-1, is the ability to use metals and metalloids, including radioactive compounds, as electron acceptors. Members of the Shewanella genus have also been shown to degrade environmental pollutants i.e. halogenated compounds, making this group highly applicable for the DOE mission. S. oneidensis MR-1 has in addition been found to utilize a diverse set of nutrients and to have a large set of genes dedicated to regulation and to sensing of the environment. The sequencing of the S. oneidensis MR-1 genome facilitated experimental and bioinformatics analyses by a group of collaborating researchers, the Shewanella Federation. Through the joint effort and with support from Department of Energy S. oneidensis MR-1 has become a model organism of study. Our work has been a functional analysis of S. oneidensis MR-1, both by itself and as part of a comparative study. We have improved the annotation of gene products, assigned metabolic functions, and analyzed protein families present in S. oneidensis MR-1. The data has been applied to analysis of experimental data (i.e. gene expression, proteome) generated for S. oneidensis MR-1. Further, this work has formed the basis for a comparative study of over 20 members of the Shewanella genus. The species and strains selected for genome sequencing represented an evolutionary gradient of DNA relatedness, ranging from close to intermediate, and to distant. The organisms selected have also adapted to a variety of ecological niches. Through our work we have been able to detect and interpret genome similarities and differences between members of the genus. We have in this way contributed to the

  3. Functional Genomic Analysis of Systemic Cell Division Regulation in Legumes

    Legumes develop root nodules from pluripotent stem cells in the root pericycle in response to mitogenic activation by a decorated chitin-like nodulation factor synthesized in Rhizobium bacteria. The soybean genes encoding the receptor for such signals were cloned using map-based cloning approaches. Pluripotent cells in the root pericycle and the outer or inner cortex undergo repeated cell divisions to initiate a composite nodule primordium that develops to a functional nitrogen-fixing nodule. The process itself is autoregulated, leading to the characteristic nodulation of the upper root system. Autoregulation of nodulation (AON) in all legumes is controlled in part by a leucine-rich repeat receptor kinase gene (GmNARK). Mutations of GmNARK, and its other legume orthologues, result in abundant nodulation caused by the loss of a yet-undefined negative nodulation repressor system. AON receptor kinases are involved in perception of a long distance, root-derived signal, to negatively control nodule proliferation. GmNARK and LjHAR1 are expressed in phloem parenchyma. GmNARK kinase domain interacts with Kinase Associated Protein Phosphatase (KAPP). NARK gene expression did not mirror biological NARK activity in nodulation control, as q-RT-PCR in soybean revealed high NARK expression in roots, root tips, leaves, petioles, stems and hypocotyls, while shoot and root apical meristems were devoid of NARK RNA. High through-put transcript analysis in soybean leaf and root indicated that major genes involved in JA synthesis or response are preferentially down-regulated in leaf but not root of wild type, but not NARK mutants, suggesting that AON signaling may in part be controlled by events relating to hormone metabolism. Ethylene and abscisic acid insensitive mutants of L. japonicus are described. Nodulation in legumes has significance to global economies and ecologies, as the nitrogen input into the biosphere allows food, feed and biofuel production without the inherent costs

  4. Wave-shape function analysis -- when cepstrum meets time-frequency analysis

    Lin, Chen-Yun; Wu, Hau-tieng

    2016-01-01

    We propose to combine cepstrum and nonlinear time-frequency (TF) analysis to study mutiple component oscillatory signals with time-varying frequency and amplitude and with time-varying non-sinusoidal oscillatory pattern. The concept of cepstrum is applied to eliminate the wave-shape function influence on the TF analysis, and we propose a new algorithm, named de-shape synchrosqueezing transform (de-shape SST). The mathematical model, adaptive non-harmonic model, is introduced and the de-shape SST algorithm is theoretically analyzed. In addition to simulated signals, several different physiological, musical and biological signals are analyzed to illustrate the proposed algorithm.

  5. College Chemistry and Piaget: An Analysis of Gender Difference, Cognitive Abilities, and Achievement Measures Seventeen Years Apart

    Shibley, Ivan A., Jr.; Milakofsky, Louis M.; Bender, David S.; Patterson, Henry O.

    2003-05-01

    This study revisits an analysis of gender difference in the cognitive abilities of college chemistry students using scores from "Inventory of Piaget's Developmental Tasks" (IPDT), the Scholastic Assessment Test (SAT), and final grades from an introductory college chemistry course. Comparison of 1998 scores with those from 1981 showed an overall decline on most of the measures and a changing pattern among males and females. Gender differences were found in the IPDT subtests measuring imagery, classification, and proportional reasoning, but not conservation, a pattern that differs from the findings reported 17 years earlier. The generational and gender differences revealed in this study suggest that instructors should be cognizant of, and should periodically assess, the diversity of students' cognitive abilities.

  6. A quantitative analysis of the relationship between an online homework system and student achievement in pre-calculus

    Babaali, Parisa; Gonzalez, Lidia

    2015-07-01

    Supporting student success in entry-level mathematics courses at the undergraduate level has and continues to be a challenge. Recently we have seen an increased reliance on technological supports including software to supplement more traditional in-class instruction. In this paper, we explore the effects on student performance of the use of a computer software program to supplement instruction in an entry-level mathematics course at the undergraduate level, specifically, a pre-calculus course. Relying on data from multiple sections of the course over various semesters, we compare student performance in those classes utilizing the software against those in which it was not used. Quantitative analysis of the data then leads us to conclusions about the effectiveness of the software as well as recommendations for future iterations of the course and others like it.

  7. FUNCTIONAL ANALYSIS OF THE HEALTH SECTOR IN ROMANIA

    Bogdan Tatiana

    2015-07-01

    Full Text Available This paper comprises an assessment of the Romanian health financing policy and a detailed analysis of income and expenditure trends over the past seven years. The current situation of the health system is evaluated by reviewing the existing health legislation and documents on public health policies from Romania and from abroad, by analyzing the official statistics (the Romanian Yearbook of Health Statistics, Who database and by performing a healthcare system financial analysis. Although the financial efforts of the Romanian state to support the health system have increased, almost all the incomes and expenditures of the health care system having recorded significant increases, the population perception on health services worsened. Financing the health system continues to be inadequate and used in an ineffective way. Health is an essential component of well-being with major socio-economic implications. The organization and functioning of the health system depends on ensuring adequate funding. Romania must develop its health strategy in the context of European Union policies. These policies are based on values and principles such as promoting universal protection against financial risk, promoting a more equitable distribution of the financing burden, promoting equitable provision and use of services relative to need, improving the transparency and accountability of the system to the public, promoting quality and efficiency in service delivery, improving administrative efficiency, while ensuring the financial sustainability of the health system. In this context, in order to support a financially sustainable and high performing health system, the paper includes recommendations for increasing the public incomes in the health insurance system and options to streamline the healthcare services and expenses in the future.

  8. Plasmonic-based instrument response function for time-resolved fluorescence: toward proper lifetime analysis

    In this report, we investigated the so-called plasmonic platforms prepared to target ultra-short fluorescence and accurate instrumental response function in a time-domain spectroscopy and microscopy. The interaction of metallic nanoparticles with nearby fluorophores results in the increase of the dye fluorescence quantum yield, photostability and decrease of the lifetime parameter. The mentioned properties of platforms were applied to achieve a picosecond fluorescence lifetime (21 ps) of erythrosin B, used later as a better choice for deconvolution of fluorescence decays measured with “color” sensitive photo-detectors. The ultra-short fluorescence standard based on combination of thin layers of silver film, silver colloidal nanoparticles (about 60 nm in diameter), and top layer of erythrosin B embedded in 0.2 % poly(vinyl) alcohol. The response functions were monitored on two photo-detectors; microchannel plate photomultiplier and single photon avalanche photodiode as a Rayleigh scattering and ultra-short fluorescence. We demonstrated that use of the plasmonic base fluorescence standard as an instrumental response function results in the absence of systematic error in lifetime measurements and analysis.

  9. Functional Valuation of Ecosystem Services on Bonaire: an ecological analysis of ecosystem functions provided by coral reefs

    Beek, van I.J.M.

    2011-01-01

    This research is a semi-quantitative analysis of the functional value of coral reef habitats on Bonaire to support ecosystem services. It is part of an economic valuation study of marine and terrestrial ecosystem services on Bonaire.

  10. Modeling a Cascade of Effects: The Role of Speed and Executive Functioning in Preterm/Full-Term Differences in Academic Achievement

    Rose, Susan A.; Feldman, Judith F.; Jankowski, Jeffery J.

    2011-01-01

    This study identified deficits in executive functioning in pre-adolescent preterms and modeled their role, along with processing speed, in explaining preterm/full-term differences in reading and mathematics. Preterms (less than 1750 g) showed deficits at 11 years on a battery of tasks tapping the three basic executive functions identified by…

  11. Executive Functioning, Metacognition, and Self-Perceived Competence in Elementary School Children: An Explorative Study on Their Interrelations and Their Role for School Achievement

    Roebers, Claudia M.; Cimeli, Patrizia; Rothlisberger, Marianne; Neuenschwander, Regula

    2012-01-01

    In the present study, associations between executive functioning, metacognition, and self-perceived competence in the context of early academic outcomes were examined. A total of 209 children attending first grade were initially assessed in terms of their executive functioning and academic self-concept. One year later, children's executive…

  12. The Importance of Behavioral Thresholds and Objective Functions in Contaminant Transport Uncertainty Analysis

    Sykes, J. F.; Kang, M.; Thomson, N. R.

    2007-12-01

    The TCE release from The Lockformer Company in Lisle Illinois resulted in a plume in a confined aquifer that is more than 4 km long and impacted more than 300 residential wells. Many of the wells are on the fringe of the plume and have concentrations that did not exceed 5 ppb. The settlement for the Chapter 11 bankruptcy protection of Lockformer involved the establishment of a trust fund that compensates individuals with cancers with payments being based on cancer type, estimated TCE concentration in the well and the duration of exposure to TCE. The estimation of early arrival times and hence low likelihood events is critical in the determination of the eligibility of an individual for compensation. Thus, an emphasis must be placed on the accuracy of the leading tail region in the likelihood distribution of possible arrival times at a well. The estimation of TCE arrival time, using a three-dimensional analytical solution, involved parameter estimation and uncertainty analysis. Parameters in the model included TCE source parameters, groundwater velocities, dispersivities and the TCE decay coefficient for both the confining layer and the bedrock aquifer. Numerous objective functions, which include the well-known L2-estimator, robust estimators (L1-estimators and M-estimators), penalty functions, and dead zones, were incorporated in the parameter estimation process to treat insufficiencies in both the model and observational data due to errors, biases, and limitations. The concept of equifinality was adopted and multiple maximum likelihood parameter sets were accepted if pre-defined physical criteria were met. The criteria ensured that a valid solution predicted TCE concentrations for all TCE impacted areas. Monte Carlo samples are found to be inadequate for uncertainty analysis of this case study due to its inability to find parameter sets that meet the predefined physical criteria. Successful results are achieved using a Dynamically-Dimensioned Search sampling

  13. Research and Analysis on National Scientific and Technological Achievements of Radix Angelicas, Radix Astragall and Radix Codonopsis%当归、黄芪和党参国家科技成果的研究分析

    张尚智; 孙逸来; 赵芳; 陈鑫; 武睿

    2013-01-01

    目的:了解国内当归、黄芪和党参3种中药国家科技成果研究的基本现状,揭示其文献和研究内容等方面的特征,为今后相关研究提供借鉴。方法采用内容分析法,借助计算机的分类、统计功能,按成果的基本情况、成果的研究内容、成果的评价与应用等项目进行分类、统计分析。结果3种中药国家科技成果,甘肃、河北、山东等地排在前列,成果主要由高校、医院、科研院所等部门承担,成果课题的来源主要为地方计划和自选课题,成果研究内容主要分布在药物疗效、药物制剂、栽培、贮藏加工等领域。结论国家科技成果数据库(知网版)中,3种中药国家科技成果增幅缓慢,成果以应用技术研究为主,成果转化率低,数据库中一些成果项目的数据缺失较严重。%Objective By learning about the current basic situation of research on national scientific and technological achievements of three species of Chinese herbal, Radix Angelicas, Radix Astragall and Radix Codonopsis, to reveal the features in literature and research content, and provide reference for related research in future. Methods By using content analysis approach, the basic situation of achievements, the research content of achievements, and assessment and application of achievements were classified and statistically analyzed by classifying and statistical function of computer. Results The provinces that rank the top of national scientific and technological achievements of the three species of Chinese herbal were Gansu, Hebei and Shandong. The achievements were mainly undertaken by college or university, hospital and scientific research institutions. The source of project achievements mainly originated from local project and optional project. The research content of the achievements largely focused on the fields like drug therapeutic effect, pharmaceutical preparation, cultivation techniques, storing and processing

  14. Analysis of left ventricular function in patients with idiopathic cardiomyopathy

    Assessment of left ventricular function by cardiac pool scintigraphy and that of the regional wall motion by Fourier analysis were done in 43 cases of idiopathic cardiomyopathy and normal cases at rest and exercise stress. The normal group showed a linear increase of the left ventricular ejection fraction (LVEF) by multistage exercise stress, but showed bo abnormality of the regional wall motion. The congestive cardiomyopathy group showed markedly lower LVEF than those of the normal group at rest and a decreasing tendency by exercise stress. Abnormalities of the regional ventricular wall motion were not provoked by exercise stress. The hypertrophic cardiomyopathy group showed higher LVEF at rest than those of the normal group, but showed no more increases after the LVEF reached a certain plateau by increases of exercise. This group showed no abnormality of the regional ventricular wall motion. The hypertrophic obstructive cardiomyopathy group showed higher LVEF at rest than those of the normal group, but decreased LVEF by multistage exercise stress. (Chiba, N.)

  15. MALDI matrices for biomolecular analysis based on functionalized carbon nanomaterials.

    Ugarov, Michael V; Egan, T; Khabashesku, Dmitry V; Schultz, J Albert; Peng, Haiqing; Khabashesku, Valery N; Furutani, Hiroshi; Prather, Kimberley S; Wang, H-W J; Jackson, S N; Woods, Amina S

    2004-11-15

    When used in small molar ratios of matrix to analyte, derivatized fullerenes and single wall nanotubes are shown to be efficient matrices for matrix-assisted laser desorption/ionization (MALDI) mass spectrometry. The mixing of an acidic functionalized fullerene with a solution of bioanalyte, depositing a dried droplet, and irradiating with a pulsed nitrogen laser yields protonated or cationized molecular ions. Derivatized fullerenes could offer several advantages over conventional MALDI matrices: a high analyte ionization efficiency, a small molar ratios (less than 1) of matrix/analyte, and a broader optical absorption spectrum, which should obviate specific wavelength lasers for MALDI acquisitions. The major disadvantage to the use of fullerenes is the isobaric interference between matrix and analyte ions; however, it is overcome by using MALDI-ion mobility time-of-flight (IM-oTOF) mass spectrometry to preseparate carbon cluster ions from bioanalyte ions prior to TOF mass analysis. However, an alternative to the dried droplet preparation of fullerene MALDI samples is the aerosolization of matrix-analyte solutions (or slurries) followed by impacting the aerosol onto a stainless surface. We also demonstrate that the fullerene matrices can be used to acquire spectra from rat brain tissue. PMID:15538798

  16. Process Flow and Functional Analysis of the Iter Cryogenic System

    Henry, D.; Chalifour, M.; Forgeas, A.; Kalinin, V.; Monneret, E.; Serio, L.; Vincent, G.; Voigt, T.

    2010-04-01

    The ITER cryogenic system is presently under design by a large international collaboration. It will start commissioning at Cadarache, south of France in 2015. The system is designed to provide an equivalent refrigeration capacity of 65 kW at 4.5 K for the superconducting magnet and 1300 kW at 80 K for the cryoplant pre-cooling stages and the Cryostat Thermal Shields (CTS). The cryoplant consists of three 4.5 K refrigerators and two 80 K helium loops coupled with two LN2 modules. Two 4.5 K modules are dedicated to the magnet system and a small one is devoted to the cryopumps and Pellet Injection System. One Interconnection box interfaces the cryoplant and a complex cryodistribution system which includes 5 Auxiliary Cold Boxes dedicated to each cryogenic subsystem. The ITER cryogenic system will have to cope with various normal and abnormal operational modes including superconducting magnets quench recovery and fast energy discharge. We will present the general Process Flow Diagram of the cryoplant and cryodistribution system and the operation requirements. The functional analysis of the cryogenic system will be performed leading to a proposal of the cryogenic control system architecture. The instrumentation and control requirements will also be outlined.

  17. Functional genomic analysis of cassava proteins with TIR domains

    Proteins containing a TIR domain (toll interleukin receptor) are involved in plant and animal immunity. The aim of this work was to carry out an overall genomic analysis of cassava proteins with a TIR domain and discern their possible role in resistance to cassava bacterial blight. In total 46 proteins with a TIR domain were identified in the cassava proteome and were classed in four categories according the presence or absence of other domains: TIR (T), TIR -NB (TN), TIR - lRR (TL) and TIR - NB - lRR (TNL). 56.6 % of these 46 proteins have TIR, NB and lRR domains. Using multiple alignments it was possible to demonstrate that not all cassava TIR domains contain the AE region, involved in dimerization and activation of immune responses. Three of the four proteins categories (T, TNL and TN) presented a higher number of synonymous substitutions suggesting that they are not involved in recognition process. two TIR domains not presenting the ae region were analyzed by yeast two hybrid assays and by agro-infiltration, finding that both are able to form homo and heterodimers, but they do not trigger defense responses. With this study it was possible to conclude that TIR domains can function as adaptors in the signal transduction with other resistance proteins. In addition, it became clear that not always the AE region is important for TIR dimerization but it seems necessary to activate defense responses signals.

  18. Organizational behaviour management: A functional analysis of productivity

    P. Taffinder

    1986-04-01

    Full Text Available Organizational Behaviour Management (OBM represents a new perspective on productivity. In place of addressing "attitudes and motivational drives", OBM concentrates on the control of on-task behaviour. The 3-term contingency of antecedent, behaviour and consequence, or the functional analysis of behaviour as it is known in OBM, provides a delineation of how behaviour is evoked and what maintains or reinforces it. This orientation to productivity requires that the manager establish a contingent relationship between on task behaviour and reinforcing consequence. The reinforcing consequences may be social as well as financial. The effectiveness of OBM resides in its focus on the essential element of human productivity namely, directed behaviour. Opsomming Bestuur van Organisasiegerigte Gedrag (BOG of Organisational Behaviour Management (OBM verteenwoordig 'n nuwe uitkyk op die konsep van produktiwiteit daar dit nie soseer op "houdings" of'motiveringsdrange" konsentreer nie as op die beheer van taakgerigte gedrag. Die kontingensie van antesedent-gedrag-gevolg, of die funksionele analise van gedrag soos wat dit bekend staan in BOG, bied 'n uiteensetting van hoe gedrag ontstaan en hoe dit versterk ofvoortgesit word. Hierdie benadering tot produktiwiteit vereis van die bestuur om 'n kontingente verhouding te skep tussen taakgerigte gedrag en versterkende gevolge. Hierdie gevolge mag van sosiale of finansiele aard wees. Die doeltreffendheid van BOG berus op die sentrale veronderstelling dat gedrag ordelik is en op die fokus wat dit plaas op die kritieke element van menslike produktiwiteit, naamlik gerigte gedrag.

  19. Identification and functional analysis of novel THAP1 mutations.

    Lohmann, Katja; Uflacker, Nils; Erogullari, Alev; Lohnau, Thora; Winkler, Susen; Dendorfer, Andreas; Schneider, Susanne A; Osmanovic, Alma; Svetel, Marina; Ferbert, Andreas; Zittel, Simone; Kühn, Andrea A; Schmidt, Alexander; Altenmüller, Eckart; Münchau, Alexander; Kamm, Christoph; Wittstock, Matthias; Kupsch, Andreas; Moro, Elena; Volkmann, Jens; Kostic, Vladimir; Kaiser, Frank J; Klein, Christine; Brüggemann, Norbert

    2012-02-01

    Mutations in THAP1 have been associated with dystonia 6 (DYT6). THAP1 encodes a transcription factor that represses the expression of DYT1. To further evaluate the mutational spectrum of THAP1 and its associated phenotype, we sequenced THAP1 in 567 patients with focal (n = 461), segmental (n = 68), or generalized dystonia (n = 38). We identified 10 novel variants, including six missense substitutions within the DNA-binding Thanatos-associated protein domain (Arg13His, Lys16Glu, His23Pro, Lys24Glu, Pro26Leu, Ile80Val), a 1bp-deletion downstream of the nuclear localization signal (Asp191Thrfs*9), and three alterations in the untranslated regions. The effect of the missense variants was assessed using prediction tools and luciferase reporter gene assays. This indicated the Ile80Val substitution as a benign variant. The subcellular localization of Asp191Thrfs*9 suggests a disturbed nuclear import for this mutation. Thus, we consider six of the 10 novel variants as pathogenic mutations accounting for a mutation frequency of 1.1%. Mutation carriers presented mainly with early onset dystonia (<12 years in five of six patients). Symptoms started in an arm or neck and spread to become generalized in three patients or segmental in two patients. Speech was affected in four mutation carriers. In conclusion, THAP1 mutations are rare in unselected dystonia patients and functional analysis is necessary to distinguish between benign variants and pathogenic mutations. PMID:21847143

  20. Functional Annotation and Comparative Analysis of a Zygopteran Transcriptome.

    Shanku, Alexander G; McPeek, Mark A; Kern, Andrew D

    2013-03-11

    In this paper we present a de novo assembly of the transcriptome of the damselfly, Enallagma hageni, through the use of 454 pyrosequencing. E. hageni is a member of the suborder Zygoptera within the order Odonata, and the Odonata are the basal lineage of the winged insects (Pterygota). To date, sequence data used in phylogenetic analysis of Enallagma species have been derived from either mtDNA or ribosomal nuclear DNA. This transcriptome contained 31,661 contigs that were assembled and translated into 14,813 individual open reading frames. Using these data, we constructed an extensive dataset of 634 orthologous nuclear protein-coding genes across 11 species of Arthropoda, and used Bayesian techniques to elucidate Enallagma's place in the Arthropod phylogenetic tree. Additionally, we demonstrate that the Enallagma transcriptome contains 169 genes that are evolving at rates that differ relative to the rest of the transcriptome (29 accelerated and 140 decreased), and through multiple Gene Ontology searches and clustering methods, we present the first functional-annotation of any palaeopteran's transcriptome in the literature. PMID:23550132