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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. 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

  14. 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

  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. 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…

  4. 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

  5. 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

  6. 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…

  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. 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.

  13. 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...

  14. 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...

  15. 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 ...

  16. 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...

  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 (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

  18. 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.

  19. 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

  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. 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 ...

  5. 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

  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. 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…

  10. 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.

  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. 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...

  16. 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…

  17. 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…

  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. 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)

  10. 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

  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. 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.

  17. 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.

  18. 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

  19. 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.

  20. 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…

  1. 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.

  2. 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…

  3. 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…

  4. 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

  5. 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…

  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. 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...

  16. 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

  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. 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

  1. 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...

  2. 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

  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. 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...

  8. 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

  9. 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.

  10. 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

  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. 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...

  13. 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.

  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. 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.

  7. 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.

  8. 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

  9. 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.

  10. 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…

  11. 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)

  12. 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

  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. 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…

  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. 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,…

  19. 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…

  20. 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

  1. 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.

  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 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...

  4. 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....

  5. 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…

  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. 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.

  14. 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

  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. 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.

  17. 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…

  18. 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…

  19. 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,…

  20. 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…

  1. 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…

  2. 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…

  3. 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…

  4. 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.…

  5. 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…

  6. 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…

  7. 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.

  8. 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…

  9. 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…

  10. 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…

  11. 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…

  12. 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.

  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. 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...

  20. 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

  1. 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...

  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. 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

  4. 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…

  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. 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...

  7. 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. …

  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. 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...

  10. 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.

  11. 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…

  12. 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

  13. 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…

  14. 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

  15. 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…

  16. 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.

  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. 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...

  19. 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...

  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. 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

  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. 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

  4. 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.

  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. 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).

  7. 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.

  8. [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

  9. 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.

  10. 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...