Sample records for achieves functional analysis

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

    Miller, Duane I.


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

  2. Achievement Goals and Achievement Emotions: A Meta-Analysis (United States)

    Huang, Chiungjung


    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…

  3. Disentangling the Circularity in Sen's Capability Approach: An Analysis of the Co-Evolution of Functioning Achievement and Resources (United States)

    Binder, Martin; Coad, Alex


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

  4. Recent Achievement in Gene Cloning and Functional Genomics in Soybean

    Directory of Open Access Journals (Sweden)

    Zhengjun Xia


    Full Text Available Soybean is a model plant for photoperiodism as well as for symbiotic nitrogen fixation. However, a rather low efficiency in soybean transformation hampers functional analysis of genes isolated from soybean. In comparison, rapid development and progress in flowering time and photoperiodic response have been achieved in Arabidopsis and rice. As the soybean genomic information has been released since 2008, gene cloning and functional genomic studies have been revived as indicated by successfully characterizing genes involved in maturity and nematode resistance. Here, we review some major achievements in the cloning of some important genes and some specific features at genetic or genomic levels revealed by the analysis of functional genomics of soybean.

  5. Effects of Achieving Target Measures in Rheumatoid Arthritis on Functional Status, Quality of Life, and Resource Utilization: Analysis of Clinical Practice Data (United States)

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


    Objective To evaluate associations between achieving guideline‐recommended targets of disease activity, defined by the Disease Activity Score in 28 joints using C‐reactive protein level (DAS28‐CRP) control for intraclass correlation and estimate effects of independent variables on outcomes of the modified Health Assessment Questionnaire (M‐HAQ), the EuroQol 5‐domain (EQ‐5D; a quality‐of‐life measure), hospitalization, and durable medical equipment (DME) use, we employed mixed models for continuous outcomes and generalized estimating equations for binary outcomes. Results Among 1,297 subjects, achievement (versus nonachievement) of recommended disease targets was associated with enhanced physical functioning and lower health resource utilization. After controlling for baseline covariates, achievement of disease targets (versus LDA) was associated with significantly enhanced physical functioning based on SDAI ≤3.3 (ΔM‐HAQ −0.047; P = 0.0100) and CDAI ≤2.8 (−0.073; P = 0.0003) but not DAS28‐CRP <2.6 (−0.022; P = 0.1735). Target attainment was associated with significantly improved EQ‐5D (0.022–0.096; P < 0.0030 versus LDA, MDA, or SDA). Patients achieving guideline‐recommended disease targets were 36–45% less likely to be hospitalized (P < 0.0500) and 23–45% less likely to utilize DME (P < 0.0100). Conclusion Attaining recommended target disease‐activity measures was associated with enhanced physical functioning and health‐related quality of life. Some health outcomes were similar in subjects attaining guideline targets versus LDA. Achieving LDA is a worthy clinical objective in some patients. PMID:26238974

  6. Nonlinear functional analysis

    Directory of Open Access Journals (Sweden)

    W. L. Fouché


    Full Text Available In this article we discuss some aspects of nonlinear functional analysis. It included reviews of Banach’s contraction theorem, Schauder’s fixed point theorem, globalising techniques and applications of homotopy theory to nonlinear functional analysis. The author emphasises that fundamentally new ideas are required in order to achieve a better understanding of phenomena which contain both nonlinear and definite infinite dimensional features.

  7. Direct and indirect influences of executive functions on mathematics achievement. (United States)

    Cragg, Lucy; Keeble, Sarah; Richardson, Sophie; Roome, Hannah E; Gilmore, Camilla


    Achievement in mathematics is predicted by an individual's domain-specific factual knowledge, procedural skill and conceptual understanding as well as domain-general executive function skills. In this study we investigated the extent to which executive function skills contribute to these three components of mathematical knowledge, whether this mediates the relationship between executive functions and overall mathematics achievement, and if these relationships change with age. Two hundred and ninety-three participants aged between 8 and 25years completed a large battery of mathematics and executive function tests. Domain-specific skills partially mediated the relationship between executive functions and mathematics achievement: Inhibitory control within the numerical domain was associated with factual knowledge and procedural skill, which in turn was associated with mathematical achievement. Working memory contributed to mathematics achievement indirectly through factual knowledge, procedural skill and, to a lesser extent, conceptual understanding. There remained a substantial direct pathway between working memory and mathematics achievement however, which may reflect the role of working memory in identifying and constructing problem representations. These relationships were remarkably stable from 8years through to young adulthood. Our findings help to refine existing multi-component frameworks of mathematics and understand the mechanisms by which executive functions support mathematics achievement.

  8. Mirror Analysis: How To Achieve Customer-Driven Human Performance. (United States)

    Mourier, Pierre


    Presents an evaluation/development method for achieving customer-driven improvement in organizations. Describes the steps to external and internal "mirror analysis," a process for determining if the organization functions as a mirror of customers' needs and expectations. Twelve figures illustrate factors in the process. (AEF)

  9. Preschool executive functioning abilities predict early mathematics achievement. (United States)

    Clark, Caron A C; Pritchard, Verena E; Woodward, Lianne J


    Impairments in executive function have been documented in school-age children with mathematical learning difficulties. However, the utility and specificity of preschool executive function abilities in predicting later mathematical achievement are poorly understood. This study examined linkages between children's developing executive function abilities at age 4 and children's subsequent achievement in mathematics at age 6, 1 year after school entry. The study sample consisted of a regionally representative cohort of 104 children followed prospectively from ages 2 to 6 years. At age 4, children completed a battery of executive function tasks that assessed planning, set shifting, and inhibitory control. Teachers completed the preschool version of the Behavior Rating Inventory of Executive Function. Clinical and classroom measures of children's mathematical achievement were collected at age 6. Results showed that children's performance on set shifting, inhibitory control, and general executive behavior measures during the preschool period accounted for substantial variability in children's early mathematical achievement at school. These associations persisted even after individual differences in general cognitive ability and reading achievement were taken into account. Findings suggest that early measures of executive function may be useful in identifying children who may experience difficulties learning mathematical skills and concepts. They also suggest that the scaffolding of these executive skills could potentially be a useful additional component in early mathematics education.

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

    NARCIS (Netherlands)

    Gerdessen, J.C.; Vries, de J.H.M.


    Background/Objectives: Diet models based on goal programming (GP) are valuable tools in designing diets that comply with nutritional, palatability and cost constraints. Results derived from GP models are usually very sensitive to the type of achievement function that is chosen. This paper aims to pr

  11. Children's Effortful Control and Academic Achievement: Mediation through Social Functioning (United States)

    Valiente, Carlos; Eisenberg, Nancy; Haugen, Rg; Spinrad, Tracy L.; Hofer, Claire; Liew, Jeffrey; Kupfer, Anne


    Research Findings: The purpose of this study was to test the premise that children's effortful control (EC) is prospectively related to their academic achievement and to specify mechanisms through which EC is related to academic success. We used data from 214 children (M age at Time 1 [T1] = 73 months) to test whether social functioning (e.g.,…

  12. Poverty and Educational Achievement: An Analysis Plan. (United States)

    Zill, Nicholas

    This paper describes a series of proposed analyses that would make use of existing information from national surveys of the school-aged population and other large-scale databases in order to illuminate trends in the makeup, life circumstances, schooling, and educational achievement of the population of United States children that is eligible for…

  13. Schooling, educational achievement, and cognitive functioning among young Guatemalan adults. (United States)

    Stein, Aryeh D; Behrman, Jere R; DiGirolamo, Ann; Grajeda, Rubén; Martorell, Reynaldo; Quisumbing, Agnes; Ramakrishnan, Usha


    Quantity and quality of schooling obtained and the resulting skills and knowledge acquired are important components of human capital. We describe the distribution of selected measures of schooling, educational achievement, and cognitive functioning among individuals who participated as children in a nutrition supplementation trial in Guatemala and were followed up in 2002-04. Among 1,469 respondents (response rate 80%), who were 26-41 years of age in 2003, more than 90% of men and women had attended at least some school; more than half of men and more than one-third of women had completed sixth grade. Schooling attainment of both men and women has increased across birth cohorts but the schooling gap between men and women has increased. Parental socioeconomic status, as measured in 1975, is a strong predictor of schooling attainment. Basic literacy is high among those studied, with more than 80% able to read simple sentences. The gap in educational achievement favoring men narrowed across birth cohorts due to increases among younger women. The greater performance among men on the Raven's Progressive Matrices test persisted despite increased scores in the younger birth cohorts for both men and women. Migrants to Guatemala City have completed more years of school and scored higher on the tests of educational achievement and cognitive functioning than have cohort members who have remained in the study villages.

  14. RTPP Analysis Results: Achievements and Challenges (United States)

    Agrotis, Loukis; Alfaro Sanz, Pedro; Svehla, Drazen; Dow, John; Zandbergen, Rene


    One of the key objectives of the IGS Real Time Pilot Project is the establishment of an experimental IGS Real Time Clock Service comprising individual Analysis Centre (AC) solutions and the investigation of strategies for generating a Real Time combination product. The latter is intended to provide a stable, reliable and high quality GNSS product. Currently there are 4 ACs (BKG, DLR, ESA and NRCan) generating individual real time products, and a fifth (GMV) that is producing a product based on one-hour predictions. This paper will cover the evolution in the accuracies of the individual solutions and will show the impact that the participation in the RTPP has had on the ACs, serving not only as an external benchmark, but also as a discussion forum that has prompted their continued evolution and improvement. In its role as RTPP AC coordinator, ESOC has been computing and disseminating a daily combination clock product since July 2008, based on daily submissions of clock RINEX and SP3 orbit files by the individual ACs. This exercise has helped to develop and validate the combination techniques and the RTPP products are stored at the CDDIS, IGN and KASI data centres with the designation "igt". The current satellite clock quality, of better than 0.2 ns RMS compared to the IGS rapids, comfortably exceeds the initial RTPP goal of 0.5 ns and gives a high confidence on the implemented method. ESOC is currently working on the implementation of a Real Time combination product, from RTCM orbit and clock streams received in real time via BKG's NTRIP system. This service is expected to be ready in the March-April timeframe and be operational by mid 2010. As well as discussing the status and evolution of the Real Time products, this paper will also focus on specific problems and challenges in the Real Time processing. For example, it has been found that GPS Block IIA satellites exhibit occasional glitches, where most receivers loose lock simultaneously. These events cause clock

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

    Jang, Leong Yeok; Liu, Woon Chia


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

  16. Specific early number skills mediate the association between executive functioning skills and mathematics achievement. (United States)

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


    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

  17. Comprehensive School Reform and Student Achievement: A Meta-Analysis. (United States)

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

    Using 232 studies, this meta analysis reviewed the research on the achievement effects of the nationally disseminated and externally developed school improvement programs known as "whole-school" or "comprehensive" reforms. In addition to reviewing the overall achievement effects of comprehensive school reform (CSR), the meta analysis considered…

  18. Creativity and Academic Achievement: A Meta-Analysis (United States)

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


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

  19. Mathematics Achievement as a Function of within- and between-School Differences (United States)

    Mohammadpour, Ebrahim; Abdul Ghafar, Mohamed Najib


    Achievement in mathematics of eighth-grade students is modeled as a function of within-school, between-school and cross-country differences. The data were obtained from 217,728 students, within 7,216 secondary schools, in 48 countries, who participated in the 2007 Trends in International Mathematics and Science Study. Multilevel analysis showed…

  20. Fundamentals of Functional Analysis

    CERN Document Server

    Kutateladze, S S; Slovák, Jan


    A concise guide to basic sections of modern functional analysis. Included are such topics as the principles of Banach and Hilbert spaces, the theory of multinormed and uniform spaces, the Riesz-Dunford holomorphic functional calculus, the Fredholm index theory, convex analysis and duality theory for locally convex spaces with applications to the Schwartz spaces of distributions and Radon measures.

  1. Functional data analysis

    CERN Document Server

    Ramsay, J O


    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...

  2. Fundamentals of functional analysis

    CERN Document Server

    Farenick, Douglas


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

  3. An Analysis of High School Mathematics Achievement and English Language Arts Achievement as Predictors of Science Achievement (United States)

    Edwards, Anthony C.


    Science assessments require students to read and comprehend questions and to solve mathematical problems. The purpose of this study is to determine whether the following variables can be used to predict science achievement: English language arts achievement, mathematics achievement, socioeconomic status (SES), limited English proficiency (LEP)…

  4. Lectures on Functional Analysis

    CERN Document Server

    Kurepa, Svetozar; Kraljević, Hrvoje


    This volume consists of a long monographic paper by J. Hoffmann-Jorgensen and a number of shorter research papers and survey articles covering different aspects of functional analysis and its application to probability theory and differential equations.

  5. Applied functional analysis

    CERN Document Server

    Griffel, DH


    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

  6. Achieving the Gaussian Rate-Distortion Function by Prediction

    CERN Document Server

    Zamir, Ram; Erez, Uri


    The "water-filling" solution for the quadratic rate-distortion function of a stationary Gaussian source is given in terms of its power spectrum. This formula naturally lends itself to a frequency domain "test-channel" realization. We provide an alternative time-domain realization for the rate-distortion function, based on linear prediction. This solution has some interesting implications, including the optimality at all distortion levels of pre/post filtered vector-quantized differential pulse code modulation (DPCM), and a duality relationship with decision-feedback equalization (DFE) for inter-symbol interference (ISI) channels.

  7. Attitudes and Achievement in Statistics: A Meta-Analysis Study (United States)

    Emmioglu, Esma; Capa-Aydin, Yesim


    This study examined the relationships among statistics achievement and four components of attitudes toward statistics (Cognitive Competence, Affect, Value, and Difficulty) as assessed by the SATS. Meta-analysis results revealed that the size of relationships differed by the geographical region in which the studies were conducted as well as by the…

  8. Functional Object Analysis

    DEFF Research Database (Denmark)

    Raket, Lars Lau

    -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......-dimensional Euclidean spaces under the effect of additive spatially correlated effects, and then move on to consider how to include data alignment in the statistical model as a nonlinear effect under additive correlated noise. In both cases, we will give directions on how to generalize the methodology to more complex...

  9. Applied functional analysis

    CERN Document Server

    Oden, J Tinsley


    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

  10. Muscle function in avian flight: achieving power and control (United States)

    Biewener, Andrew A.


    Flapping flight places strenuous requirements on the physiological performance of an animal. Bird flight muscles, particularly at smaller body sizes, generally contract at high frequencies and do substantial work in order to produce the aerodynamic power needed to support the animal's weight in the air and to overcome drag. This is in contrast to terrestrial locomotion, which offers mechanisms for minimizing energy losses associated with body movement combined with elastic energy savings to reduce the skeletal muscles' work requirements. Muscles also produce substantial power during swimming, but this is mainly to overcome body drag rather than to support the animal's weight. Here, I review the function and architecture of key flight muscles related to how these muscles contribute to producing the power required for flapping flight, how the muscles are recruited to control wing motion and how they are used in manoeuvring. An emergent property of the primary flight muscles, consistent with their need to produce considerable work by moving the wings through large excursions during each wing stroke, is that the pectoralis and supracoracoideus muscles shorten over a large fraction of their resting fibre length (33–42%). Both muscles are activated while being lengthened or undergoing nearly isometric force development, enhancing the work they perform during subsequent shortening. Two smaller muscles, the triceps and biceps, operate over a smaller range of contractile strains (12–23%), reflecting their role in controlling wing shape through elbow flexion and extension. Remarkably, pigeons adjust their wing stroke plane mainly via changes in whole-body pitch during take-off and landing, relative to level flight, allowing their wing muscles to operate with little change in activation timing, strain magnitude and pattern. PMID:21502121

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

    Energy Technology Data Exchange (ETDEWEB)



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

  12. A Mediation Analysis of Achievement Motives, Goals, Learning Strategies, and Academic Achievement (United States)

    Diseth, Age; Kobbeltvedt, Therese


    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,…

  13. Achievements and open issues in the determination of polarized parton distribution functions

    CERN Document Server

    Nocera, Emanuele R


    I review the current status of the determination of helicity-dependent, or polarized, parton distribution functions from a comprehensive analysis of experimental data in perturbative quantum chromodynamics. I illustrate the latest achievements driven by new measurements in polarized proton-proton collisions at the Relativistic Heavy Ion Collider, namely the first evidence of a sizable polarized light sea quark asymmetry and of a positive polarized gluon distribution in the proton. I discuss which are the open issues in the determination of polarized distributions, and how these may be addressed in the future by ongoing, planned and proposed experimental programs.

  14. The Effect of Executive Function on Science Achievement Among Normally Developing 10-Year Olds (United States)

    Lederman, Sheri G.

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

  15. Nonlinear functional analysis

    CERN Document Server

    Deimling, Klaus


    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...

  16. 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


    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...

  17. Key elements on team achievement: a retrospective analysis. (United States)

    Taveira, Alvaro D


    This study is a historical reconstruction and in-depth scrutiny of one very successful team initiative within a Quality Improvement (QI) program in a municipal government organization. The identification of the essential concepts that contributed to the team's success and their integration into a local explanatory theory of team achievement is the final purpose of the study. The focus of this retrospective study is on the team process, with primary attention given to team members' perspectives and reflections on the project development. Data collection and analysis were conducted with methods drawn from the qualitative research tradition and from Quality Management. Main findings point to the importance of consistent management support, correct team composition with an emphasis on the team leader choice and demeanor, and to the central role of training in the group conduct. The negotiated approach to decision-making employed by the team, which reflected its organizational context, and the effort and mechanisms that allowed the group to reach equilibrium between internal and external interests proved critical for its ultimate achievement.

  18. Physical activity and obesity mediate the association between childhood motor function and adolescents' academic achievement. (United States)

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


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

  19. Relations among Executive Function, Number Sense, and Mathematics Achievement in Kindergartners (United States)

    Irwin, Casey Marie


    Early number sense knowledge is highly predictive of later math achievement (Herbers et al., in press; Jordan, Kaplan, Ramineni, & Locuniak, 2009; Obradovic i et al., 2009). However, research suggests that variables beyond number competencies contribute to students' mathematics achievement, most notably, executive function (Blair & Razza,…

  20. Executive Function as a Mediator between SES and Academic Achievement throughout Childhood (United States)

    Lawson, Gwendolyn M.; Farah, Martha J.


    Childhood socioeconomic status (SES), as measured by parental education and family income, is highly predictive of academic achievement, but little is known about how specific cognitive systems shape SES disparities in achievement outcomes. This study investigated the extent to which executive function (EF) mediated associations between parental…

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

    NARCIS (Netherlands)

    Meijer, A.M.


    This study investigates the relationship between chronic sleep reduction, functioning at school and school achievement of boys and girls. To establish individual consequences of chronic sleep reduction (tiredness, sleepiness, loss of energy and emotional instability) the Chronic Sleep Reduction Ques

  2. Study of academic achievements using spatial analysis tools (United States)

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


    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

  3. A Primer on Functional Analysis (United States)

    Yoman, Jerome


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

  4. A causal analysis relating previous achievement, attitudes, discourse, and intervention to achievement in biology and chemistry (United States)

    Gooding, C. Thomas; Swift, J. Nathan; Schell, Robert E.; Swift, Patricia R.; McCroskery, James H.

    This study described the relationship of 38 variates to achievement in high school biology and chemistry classes. Forty-four teachers prepared audio tape recordings of discussions throughout a nine-month period. Equal-sized groups received treatment consisting of wait time feedback and/or supportive intervention, a form of peer coaching. Other variables were initial measures, which included the variates of class size and previous science grade, pre- and posttest scores on student attitudes and perceptions, and prediscourse and discourse analyses, which included the variates of wait times, actions, and response durations. While previous research has shown that wait time feedback and supportive intervention are effective means of changing teacher behavior, the results of the present study revealed that previous student achievement and the attitudes of students accounted for 70% of the variation in the final examination scores (New York State Regents) on the basis of only the first three weeks of data collection on the variables assessed. Generally, little emphasis on higher-level thinking, wait time, or problem solving was found at the beginning of the school year, and only minimal changes resulted from the application of the treatment variables. Pressures for content coverage and preparation for externally imposed statewide examinations that emphasize memory-level learning augured against the changes that the independent variables were designed to produce.

  5. Physiological geroscience: targeting function to increase healthspan and achieve optimal longevity. (United States)

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


    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

  6. The Interplay of Orthodontics, Periodontics, and Restorative Dentistry to Achieve Aesthetic and Functional Success. (United States)

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


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

  7. Executive Function Skills and Academic Achievement Gains in Prekindergarten: Contributions of Learning-Related Behaviors (United States)

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


    Although research suggests associations between children's executive function skills and their academic achievement, the specific mechanisms that may help explain these associations in early childhood are unclear. This study examined whether children's (N = 1,103; M age = 54.5 months) executive function skills at the beginning of prekindergarten…

  8. Applying trait-based models to achieve functional targets for theory-driven ecological restoration. (United States)

    Laughlin, Daniel C


    Manipulating community assemblages to achieve functional targets is a key component of restoring degraded ecosystems. The response-and-effect trait framework provides a conceptual foundation for translating restoration goals into functional trait targets, but a quantitative framework has been lacking for translating trait targets into assemblages of species that practitioners can actually manipulate. This study describes new trait-based models that can be used to generate ranges of species abundances to test theories about which traits, which trait values and which species assemblages are most effective for achieving functional outcomes. These models are generalisable, flexible tools that can be widely applied across many terrestrial ecosystems. Examples illustrate how the framework generates assemblages of indigenous species to (1) achieve desired community responses by applying the theories of environmental filtering, limiting similarity and competitive hierarchies, or (2) achieve desired effects on ecosystem functions by applying the theories of mass ratios and niche complementarity. Experimental applications of this framework will advance our understanding of how to set functional trait targets to achieve the desired restoration goals. A trait-based framework provides restoration ecology with a robust scaffold on which to apply fundamental ecological theory to maintain resilient and functioning ecosystems in a rapidly changing world.

  9. Did Tanzania Achieve the Second Millennium Development Goal? Statistical Analysis (United States)

    Magoti, Edwin


    Development Goal "Achieve universal primary education", the challenges faced, along with the way forward towards achieving the fourth Sustainable Development Goal "Ensure inclusive and equitable quality education and promote lifelong learning opportunities for all". Statistics show that Tanzania has made very promising steps…

  10. Educational Achievement and Black-White Inequality. Statistical Analysis Report. (United States)

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

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

  11. Theoretical numerical analysis a functional analysis framework

    CERN Document Server

    Atkinson, Kendall


    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

  12. Hyperspectral image classification using functional data analysis. (United States)

    Li, Hong; Xiao, Guangrun; Xia, Tian; Tang, Y Y; Li, Luoqing


    The large number of spectral bands acquired by hyperspectral imaging sensors allows us to better distinguish many subtle objects and materials. Unlike other classical hyperspectral image classification methods in the multivariate analysis framework, in this paper, a novel method using functional data analysis (FDA) for accurate classification of hyperspectral images has been proposed. The central idea of FDA is to treat multivariate data as continuous functions. From this perspective, the spectral curve of each pixel in the hyperspectral images is naturally viewed as a function. This can be beneficial for making full use of the abundant spectral information. The relevance between adjacent pixel elements in the hyperspectral images can also be utilized reasonably. Functional principal component analysis is applied to solve the classification problem of these functions. Experimental results on three hyperspectral images show that the proposed method can achieve higher classification accuracies in comparison to some state-of-the-art hyperspectral image classification methods.

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

    NARCIS (Netherlands)

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


    BACKGROUND: Early social and cognitive alterations in psychotic disorder, associated with familial liability and environmental exposures, may contribute to lower than expected educational achievement. The aims of the present study were to investigate (1) how differences in educational level between

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

    NARCIS (Netherlands)

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


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

  15. Self-Regulation, Executive Function, Working Memory, and Academic Achievement of Female High School Students (United States)

    Halloran, Roberta Kathryn


    Self-regulation, executive function and working memory are areas of cognitive processing that have been studied extensively. Although many studies have examined the constructs, there is limited empirical support suggesting a formal link between the three cognitive processes and their prediction of academic achievement. Thus, the present study…

  16. Academic and Social Achievement Goals: Their Additive, Interactive, and Specialized Effects on School Functioning (United States)

    Liem, Gregory Arief D.


    Background: Students' pursuit of academic and social goals has implications for school functioning. However, studies on academic and social achievement goals have been relatively independent and mainly conducted with students in culturally Western settings. Aims: Guided by multiple-goal perspectives, this study examined the role of academic and…

  17. Novel Vaccine Approach AchievesFunctional Cure” of AIDS Virus in Monkeys | Poster (United States)

    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.

  18. Prekindergarten Children's Executive Functioning Skills and Achievement Gains: The Utility of Direct Assessments and Teacher Ratings (United States)

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


    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…

  19. Fine Motor Skills and Executive Function Both Contribute to Kindergarten Achievement (United States)

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


    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…

  20. Masculinity, Educational Achievement and Social Status: A Social Network Analysis (United States)

    Lusher, Dean


    This study utilises a quantitative case study social network approach to explore the connection between masculinity and scholastic achievement in two secondary, all-boys schools in Australia. In both schools two social networks representing social status are explored: the "friendship" network as a measure of status that includes…

  1. Self Statements, Test Anxiety and Academic Achievement: A Correlational Analysis. (United States)

    Couch, James V.; And Others

    An investigation of self-statements, test anxiety and academic achievement studied 426 college students. Research methodology is defined, demographics and student profiles for both facilitative and debilitative test anxiety are presented, with the resulting findings for each testing component. The student profile for high facilitative test anxiety…

  2. Effort Analysis: Individual Score Validation of Achievement Test Data (United States)

    Wise, Steven L.


    Whenever the purpose of measurement is to inform an inference about a student's achievement level, it is important that we be able to trust that the student's test score accurately reflects what that student knows and can do. Such trust requires the assumption that a student's test event is not unduly influenced by construct-irrelevant factors…

  3. Decreased latent inhibition is associated with increased creative achievement in high-functioning individuals. (United States)

    Carson, Shelley H; Peterson, Jordan B; Higgins, Daniel M


    Reductions in latent inhibition (LI), the capacity to screen from conscious awareness stimuli previously experienced as irrelevant, have been generally associated with the tendency towards psychosis. However, "failure" to screen out previously irrelevant stimuli might also hypothetically contribute to original thinking, particularly in combination with high IQ. Meta-analysis of two studies, conducted on youthful high-IQ samples. demonstrated that high lifetime creative achievers had significantly lower LI scores than low creative achievers (r(effect size) = .31, p = .0003, one-tailed). Eminent creative achievers (participants under 21 years who reported unusually high scores in a single domain of creative achievement) were 7 times more likely to have low rather than high LI scores, chi2 (1, N = 25) = 10.69, phi = .47. p = .003.

  4. Function Analysis and Decomposistion using Function Analysis Systems Technique

    Energy Technology Data Exchange (ETDEWEB)

    Wixson, James Robert


    The "Father of Value Analysis", Lawrence D. Miles, was a design engineer for General Electric in Schenectady, New York. Miles developed the concept of function analysis to address difficulties in satisfying the requirements to fill shortages of high demand manufactured parts and electrical components during World War II. His concept of function analysis was further developed in the 1960s by Charles W. Bytheway, a design engineer at Sperry Univac in Salt Lake City, Utah. Charles Bytheway extended Mile's function analysis concepts and introduced the methodology called Function Analysis Systems Technique (FAST) to the Society of American Value Engineers (SAVE) at their International Convention in 1965 (Bytheway 1965). FAST uses intuitive logic to decompose a high level, or objective function into secondary and lower level functions that are displayed in a logic diagram called a FAST model. Other techniques can then be applied to allocate functions to components, individuals, processes, or other entities that accomplish the functions. FAST is best applied in a team setting and proves to be an effective methodology for functional decomposition, allocation, and alternative development.

  5. Function Analysis and Decomposistion using Function Analysis Systems Technique

    Energy Technology Data Exchange (ETDEWEB)

    J. R. Wixson


    The "Father of Value Analysis", Lawrence D. Miles, was a design engineer for General Electric in Schenectady, New York. Miles developed the concept of function analysis to address difficulties in satisfying the requirements to fill shortages of high demand manufactured parts and electrical components during World War II. His concept of function analysis was further developed in the 1960s by Charles W. Bytheway, a design engineer at Sperry Univac in Salt Lake City, Utah. Charles Bytheway extended Mile's function analysis concepts and introduced the methodology called Function Analysis Systems Techniques (FAST) to the Society of American Value Engineers (SAVE) at their International Convention in 1965 (Bytheway 1965). FAST uses intuitive logic to decompose a high level, or objective function into secondary and lower level functions that are displayed in a logic diagram called a FAST model. Other techniques can then be applied to allocate functions to components, individuals, processes, or other entities that accomplish the functions. FAST is best applied in a team setting and proves to be an effective methodology for functional decomposition, allocation, and alternative development.

  6. Automatic Functional Harmonic Analysis

    NARCIS (Netherlands)

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


    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

  7. Elementary functional analysis

    CERN Document Server

    Shilov, Georgi E


    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.

  8. Executive functions in 5- to 8-year olds: Developmental changes and relationship to academic achievement


    Röthlisberger, Marianne; Neuenschwander, Regula; Cimeli, Patrizia; Roebers, Claudia M.


    Pronounced improvements in executive functions (EF) during preschool years have been documented in cross-sectional studies. However, longitudinal evidence on EF development during the transition to school and predictive associations between early EF and later school achievement are still scarce. This study examined developmental changes in EF across three time-points, the predictive value of EF for mathematical, reading and spelling skills and explored children's specific academic attainment ...

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

    Directory of Open Access Journals (Sweden)

    Valter Rocha Fernandes


    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.

  10. Uniting academic achievements on performance analysis with industrial needs

    NARCIS (Netherlands)

    Theelen, Bart; Hooman, Jozef


    In our mission to advance innovation by industrial adoption of academic results, we perform many projects with high-tech industries. Favoring formal methods, we observe a gap between industrial needs in performance modeling and the analysis capabilities of formal methods for this goal. After clarify

  11. Correlation Between Executive Function Behaviors and Educational Achievement of Children With Developmental Coordination Disorder

    Directory of Open Access Journals (Sweden)



    Full Text Available Background Developmental cordination disorder (DCD is a serious deficit in development of motor coordination, which affects educational achievements and daily life activities to a considerable extent. Objectives The present study aimed to investigate correlations between components of executive function and spelling and math performance of 7 - 11-year-old children with DCD. Materials and Methods A descriptive-analytic study was conducted on 53 primary school children with DCD. Persian version of motor observation questionnaire for teachers (PMOQ-T was used to detect DCD. Executive functions and educational achievements of these children were evaluated using behavior rating inventory of executive function (BRIEF and a researcher-made test, respectively. Results were analyzed through SPSS software (v. 21 and Pearson correlation coefficient. Results The findings showed that components of inhibition (r = -0.27, P < 0.05, working memory (r = -0.44, P < 0.01 and organization of material (r = -0.28, P < 0.05 were significantly correlated with the spelling test. And components of inhibition (r = -0.27, P < 0.05, shift (r = -0.38, P < 0. 01, working memory (r = -0.28, P < 0.05, and planning (r = -.29, P<0.05 were correlated with math test. Conclusions The results may help clinicians for early intervention and focus on related components of executive function to improve the educational performance of DCD children. Knowing that executive function skills are associated with these two achievement domains suggests potentiality of targeted math and spelling interventions for DCD children.

  12. Functional Equations and Fourier Analysis



    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.

  13. Functional Analysis for Chemical Engineers. (United States)

    Ramkrishna, D.


    Described is a graduate level engineering course on functional analysis offered at Purdue University. The course restricts itself to linear problems, specifically analysis of linear operators on vector spaces. Key applications in the course demonstrating the utility of abstract formulations are presented. (BT)

  14. Cognitive, Parent and Teacher Rating Measures of Executive Functioning: Shared and Unique Influences on School Achievement (United States)

    Dekker, Marielle C.; Ziermans, Tim B.; Spruijt, Andrea M.; Swaab, Hanna


    Very little is known about the relative influence of cognitive performance-based executive functioning (EF) measures and behavioral EF ratings in explaining differences in children's school achievement. This study examined the shared and unique influence of these different EF measures on math and spelling outcome for a sample of 84 first and second graders. Parents and teachers completed the Behavior Rating Inventory of Executive Function (BRIEF), and children were tested with computer-based performance tests from the Amsterdam Neuropsychological Tasks (ANT). Mixed-model hierarchical regression analyses, including intelligence level and age, showed that cognitive performance and teacher's ratings of working memory and shifting concurrently explained differences in spelling. However, teacher's behavioral EF ratings did not explain any additional variance in math outcome above cognitive EF performance. Parent's behavioral EF ratings did not add any unique information for either outcome measure. This study provides support for the ecological validity of performance- and teacher rating-based EF measures, and shows that both measures could have a complementary role in identifying EF processes underlying spelling achievement problems. The early identification of strengths and weaknesses of a child's working memory and shifting capabilities, might help teachers to broaden their range of remedial intervention options to optimize school achievement. PMID:28194121


    Directory of Open Access Journals (Sweden)

    Melinda Timea Fülöp


    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.

  16. Multilevel sparse functional principal component analysis. (United States)

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


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

  17. Functional and shape data analysis

    CERN Document Server

    Srivastava, Anuj


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

  18. How preschool executive functioning predicts several aspects of math achievement in Grades 1 and 3: A longitudinal study. (United States)

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


    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.

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

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


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

  20. De-randomizing Shannon: The Design and Analysis of a Capacity-Achieving Rateless Code

    CERN Document Server

    Balakrishnan, Hari; Perry, Jonathan; Shah, Devavrat


    This paper presents an analysis of spinal codes, a class of rateless codes proposed recently. We prove that spinal codes achieve Shannon capacity for the binary symmetric channel (BSC) and the additive white Gaussian noise (AWGN) channel with an efficient polynomial-time encoder and decoder. They are the first rateless codes with proofs of these properties for BSC and AWGN. The key idea in the spinal code is the sequential application of a hash function over the message bits. The sequential structure of the code turns out to be crucial for efficient decoding. Moreover, counter to the wisdom of having an expander structure in good codes, we show that the spinal code, despite its sequential structure, achieves capacity. The pseudo-randomness provided by a hash function suffices for this purpose. Our proof introduces a variant of Gallager's result characterizing the error exponent of random codes for any memoryless channel. We present a novel application of these error-exponent results within the framework of an...

  1. Effects of the Peer Group on the Development of Social Functioning and Academic Achievement: A Longitudinal Study in Chinese Children (United States)

    Chen, Xinyin; Chang, Lei; Liu, Hongyun; He, Yunfeng


    This longitudinal study examined, in a sample of Chinese children (initial mean ages = 9.5 and 12.7 years, N = 505), how the peer group contributed to social functioning and academic achievement and their associations. Data on informal peer groups, social functioning, and academic achievement were collected from multiple sources. Multilevel…

  2. Special functions in Fuzzy Analysis

    Directory of Open Access Journals (Sweden)

    Angel Garrido


    Full Text Available In the treatment of Fuzzy Logic an useful tool appears: the membership function, with the information about the degree of completion of a condition which defines the respective Fuzzy Set or Fuzzy Relation. With their introduction, it is possible to prove some results on the foundations of Fuzzy Logic and open new ways in Fuzzy Analysis.


    Energy Technology Data Exchange (ETDEWEB)

    Lori Braase; Jodi Grgich


    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.

  4. Cephalometric analysis for functional occlusion

    Directory of Open Access Journals (Sweden)

    Ashok Karad


    Full Text Available Background: Various elements contributing to good functional occlusion have not been clearly assessed with cephalometrics for the diagnosis of functional problems and their application in clinical practice. The aim of this study, therefore, was to analyze different components of functional occlusion to formulate concise functional cephalometric analysis. Materials and Methods: Eighty-two cases (38 males and 44 females, with class I occlusion and balanced facial profile, were examined based on the selection criteria, and cephalograms were taken in natural head position. All the radiographs were then analyzed using various functional parameters. Results: The mean values of condylar path angle and incisal path angle were 55.83° and 65.67°, respectively, with large deviations. However, both showed positive correlation. The value of the angle of long axis of mandibular incisor with respect to the line joining center of condyle and lower incisor tip was 88.04°. Moreover, the angle between the occlusal plane and horizontal plane was 12.88°. In vertical plane, lower face height (LFH was found to be slightly less than the upper face height. Maxilla contributed around 45% of the LFH while mandible formed about 60%. Furthermore, upper alveolar component (maxillary alveolar height formed more than half of the maxilla (53.79% whereas lower alveolar component (mandibular alveolar height was 74.8% of the mandible. Conclusion: This study has analyzed various components of functional occlusion and formulated a concise functional cephalometric analysis for diagnosis, treatment planning, and assessment of treatment results.

  5. Functional analysis theory and applications

    CERN Document Server

    Edwards, RE


    ""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. Self-concept and academic achievement: a meta-analysis of longitudinal relations. (United States)

    Huang, Chiungjung


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

  7. Contributions of executive function and spatial skills to preschool mathematics achievement. (United States)

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


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

  8. Warped functional analysis of variance. (United States)

    Gervini, Daniel; Carter, Patrick A


    This article presents an Analysis of Variance model for functional data that explicitly incorporates phase variability through a time-warping component, allowing for a unified approach to estimation and inference in presence of amplitude and time variability. The focus is on single-random-factor models but the approach can be easily generalized to more complex ANOVA models. The behavior of the estimators is studied by simulation, and an application to the analysis of growth curves of flour beetles is presented. Although the model assumes a smooth latent process behind the observed trajectories, smootheness of the observed data is not required; the method can be applied to irregular time grids, which are common in longitudinal studies.

  9. Gifted Ethnic Minority Students and Academic Achievement: A Meta-Analysis (United States)

    Henfield, Malik S.; Woo, Hongryun; Bang, Na Mi


    We conducted a meta-analysis exploring ethnic minority students enrolled in gifted/advanced programs with an emphasis on their academic achievement outcomes. A comprehensive search based on the Transparent Reporting of Systematic Reviews and Meta-Analysis checklist, was performed to retrieve articles within a 30-year time period (1983-2014), which…

  10. Occupational Functionality: A Concept Analysis. (United States)

    Combs, Bryan; Heaton, Karen


    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.

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

    Directory of Open Access Journals (Sweden)

    Nico W Van Yperen

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

  12. Functional Analysis in Applied Mathematics and Engineering

    DEFF Research Database (Denmark)

    Pedersen, Michael


    Lecture notes for the course 01245 Functional Analysis. Consists of the first part of amonograph with the same title.......Lecture notes for the course 01245 Functional Analysis. Consists of the first part of amonograph with the same title....

  13. Functional Analysis: Entering Hilbert Space

    DEFF Research Database (Denmark)

    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...... 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....... in a new chapter on Fredholm theory (Chapter 6). Fredholm theory originates in pioneering work of the Swedish mathematician Erik Ivar Fred-holm on integral equations, which inspired the study of a new class of bounded linear operators, known as Fredholm operators. Chapter 6 presents the basic elements...

  14. Tolerancing analysis and functional requirement

    CERN Document Server

    Petit, Jean-Philippe


    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 zone limits displacements of the toleranced feature. Limitations of this small displacements are expressed in a mathematical form by a 6-polytope in a 6 dimensions space (3 rotations and 3 translations). In the same way, contact conditions in joints allow to write linear inequalities which can be translated by 6-polytopes. Each domain is defined by a set of vertices and a system of inequalities. Considering a chosen tolerancing, the method allows to verify the mechanism assemblibility but also several functional requireme...

  15. Interpretable functional principal component analysis. (United States)

    Lin, Zhenhua; Wang, Liangliang; Cao, Jiguo


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

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

    CERN Document Server

    Silvers, Fon


    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

  17. Functional Analysis and Treatment of Nail Biting (United States)

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


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

  18. Some Current Themes in Functional Analysis Research. (United States)

    Vollmer, Timothy R.; Smith, Richard G.


    This article discusses clinical application of functional analysis in developmental disabilities, reviewing issues related to treatment logic and development. The article then approaches functional analysis as a research method, reviewing three areas of research: analysis of diverse response topographies, analysis of basic behavioral processes,…

  19. Social Capital and Adolescents Mathematics Achievement: A Comparative Analysis of Eight European Cities (United States)

    Gisladottir, Berglind


    This study examines the impact of social capital on mathematics achievement in eight European cities. The study draws on data from the 2008 Youth in Europe survey, carried out by the Icelandic Center for Social Research and Analysis. The sample contains responses from 17,312 students in 9th and 10th grade of local secondary schools in the…

  20. A Latent Profile Analysis of Math Achievement, Numerosity, and Math Anxiety in Twins (United States)

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


    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. The Effects of Different Applications on Creativity Regarding Academic Achievement: A Meta-Analysis (United States)

    Elaldi, Senel; Batdi, Veli


    In this study, through a meta-analysis of 20 studies, it is aimed to compare the effectiveness of various forms of learning methods including creativity based learning, problem based learning, and differentiated instruction on creativity in terms of the academic achievement of students and to find out other study characteristics, related to the…

  2. Blood pressure goal achievement with olmesartan medoxomil-based treatment: additional analysis of the OLMEBEST study (United States)

    Barrios, Vivencio; Escobar, Carlos; Calderon, Alberto; Böhm, Michael


    Aims Guidelines recommend blood pressure (BP) in hypertensive patients should be <140 systolic BP (SBP) and <90 diastolic BP (DBP) mmHg. This analysis assessed goal rate achievement in hypertensive patients receiving olmesartan-based treatment in the OLMEBEST study. Methods Patients with essential hypertension (DBP ≥ 90 mmHg and <110 mmHg) received open-label olmesartan medoxomil 20 mg/day (n = 2306). After 8 weeks, patients with DBP ≥ 90 mmHg (n = 627) were randomized to 4 weeks’ double-blind treatment with olmesartan 40 mg/day monotherapy or olmesartan 20 mg/day plus hydrochlorothiazide (HCTZ) 12.5 mg/day. For this analysis, the numbers and proportions of patients who achieved SBP < 140 mmHg and/or DBP < 90 mmHg at the end of the 4 weeks were calculated. Results In patients who achieved DBP normalization (<90 mmHg) at week 8 (n = 1546) and continued open-label olmesartan 20 mg/day, 66.7% achieved SBP/DBP < 140/90 mmHg at Week 12. In patients who did not achieve DBP normalization at Week 8, 26.8% of those randomized to olmesartan 40 mg/day and 42.5% of those randomized to olmesartan 20 mg/day plus HCTZ 12.5 mg/day achieved a SBP/DBP < 140/90 mmHg at Week 12. Conclusion Olmesartan 40 mg/day and olmesartan 20 mg/day plus HCTZ 12.5 mg/day allow substantial proportions of patients to achieve BP goals. PMID:19756164

  3. The Relationship between Frequency and Functionality of Professional Learning Communities to Student Achievement (United States)

    Linton, Jack, Jr.


    The ultimate goal of teacher professional development is to improve student achievement by improving teacher practices. To that end, the literature and research supports the development of professional learning communities as one of the most effective ways to accomplish that goal. Therefore, the research questions addressed in this study were: (a)…

  4. The Relationship of Cognitive and Executive Functioning with Achievement in Gifted Kindergarten Children (United States)

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


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

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

    Directory of Open Access Journals (Sweden)

    Eyüp Yurt


    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.

  6. Achievement goals and autonomy: how person--context interactions predict effective functioning and well-being during a career transition. (United States)

    Heidemeier, Heike; Wiese, Bettina S


    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.

  7. LD Status and Achievement: Confounding Variables in the Study of Children's Social Status, Self-Esteem, and Behavioral Functioning. (United States)

    La Greca, Annette M.; Stone, Wendy L.


    Compared to classmates with low and average reading achievement, 32 intermediate-grade students with learning disabilities (LD) had lower peer acceptance, lower feelings of self-worth, fewer positive nominations, and more negative self-perceptions regarding social acceptance. Different patterns of social and behavioral functioning distinguished LD…

  8. Integrated Treatment to Achieve Functional Recovery for First-Episode Psychosis

    Directory of Open Access Journals (Sweden)

    Marcelo Valencia


    Full Text Available This study describes an integrated treatment approach that was implemented to enhance functional recovery in first-episode psychotic patients. Patients were randomized to two treatment conditions: either to an integrated treatment approach: pharmacotherapy, psychosocial treatment, and psychoeducation (experimental group: N=39 or to medication alone (control group: N=34. Patients were evaluated at baseline and after one year of treatment. Functional recovery was assessed according to symptomatic and functional remission. At the end of treatment, experimental patients showed a 94.9% of symptomatic remission compared to 58.8% of the control group. Functional remission was 56.4% for the experimental group and 3.6% for the control group, while 56.4% of the experimental group met both symptomatic and functional remission criteria and were considered recovered compared to 2.9% of the control group.

  9. An analysis of factors that affect public and private school science achievement (United States)

    Staver, John R.; Walberg, Herbert J.

    Data on 30,030 sophomores in the High School and Beyond project were analyzed to test the private school superiority hypothesis for science achievement. The supposition that private schools are superior to public schools in producing science achievement is rejected on the basis of the present analysis. Major differences in science achievement between public and private schools appear attributable to relatively fixed characteristics of students and to their experiences beyond the school environment, rather than to factors easily alterable by educators. The authors point out and discuss the value of homework, the problem of excessive television viewing, the influence of parental involvement in education, and the effect of the amount of academic classes taken.Received: 5 September 1985

  10. The Longitudinal Process of Early Parent Involvement on Student Achievement: A Path Analysis. (United States)

    Hayakawa, Momoko; Englund, Michelle M; Warner-Richter, Mallory N; Reynolds, Arthur J


    This longitudinal study investigated the process whereby early parent involvement in preschool effects student achievement from kindergarten through 6(th) grade. Participants were 1,539 low-income, mainly African American children and their mothers, in the Chicago Longitudinal Study. Program children (N = 989) received one or two years of the Child-Parent Center (CPC) program - a preschool intervention that strongly promoted parents' development of parent involvement skills within the school and at home. Children from similar backgrounds who did not attend the CPC, but participated in available local resources (e.g. day care), were obtained as a comparison group (N = 550). Path analysis revealed an interactive process between parent involvement, academic achievement, and children's motivation. Early parent involvement directly influenced kindergarten achievement, which in turn influenced first grade student motivation. Highly motivated children then encouraged parents to continue involvement. The cyclic nature of this process across elementary school was observed. The model accounted for 61% of the variance in 6(th) grade achievement. Findings suggest that early parent involvement promoted in the CPC program, sets the stage for subsequent parent involvement, student motivation, and academic achievement throughout early and middle childhood.

  11. Association of creative achievement with cognitive flexibility by a combined voxel-based morphometry and resting-state functional connectivity study. (United States)

    Chen, Qunlin; Yang, Wenjing; Li, Wenfu; Wei, Dongtao; Li, Haijiang; Lei, Qiao; Zhang, Qinglin; Qiu, Jiang


    Although researchers generally concur that creativity involves the production of novel and useful products, the neural basis of creativity remains elusive due to the complexity of the cognitive processes involved. Recent studies have shown that highly creative individuals displayed more cognitive flexibility. However, direct evidence supporting the relationship between creativity and cognitive flexibility has rarely been investigated using both structural and functional neuroimaging techniques. We used a combined voxel-based morphometry and resting-state functional connectivity (rsFC) analysis to investigate the relationship between individual creativity ability assessed by the creative achievement questionnaire (CAQ), and regional gray matter volume (GMV), as well as intrinsic functional connectivity. Results showed that CAQ scores negatively correlated with GMV in the rostral anterior cingulate cortex (ACC) and the bilateral dorsal ACC (dACC) extending to supplementary motor area, but positively correlated with GMV in the bilateral superior frontal gyrus and ventral medial prefrontal cortex (vmPFC). Further functional connectivity analysis revealed that higher creative achievement was inversely associated with the strength of rsFC between the dACC and medial superior frontal gyrus (mSFG), right middle frontal gyrus, and left orbito-frontal insula. Moreover, the association between the dACC-mSFG connectivity and CAQ scores was mediated by cognitive flexibility, assessed by a task-switching paradigm. These findings indicate that individual differences in creative achievement are associated with both brain structure and corresponding intrinsic functional connectivity involved in cognitive flexibility and deliberate creative processing. Furthermore, dACC-mSFG connectivity may affect creative achievement through its impact on cognitive flexibility.



    Melinda Timea Fülöp


    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 ...

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

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


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

  14. Differences in Academic Achievement among Texas High School Students as a Function of Music Enrollment (United States)

    Horton, Robert Wayne


    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…

  15. Executive Functioning Predicts Academic Achievement in Middle School: A Four-Year Longitudinal Study (United States)

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


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

  16. Qualitative content analysis in nursing research: concepts, procedures and measures to achieve trustworthiness. (United States)

    Graneheim, U H; Lundman, B


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

  17. Blood pressure goal achievement with olmesartan medoxomil-based treatment: additional analysis of the OLMEBEST study

    Directory of Open Access Journals (Sweden)

    Vivencio Barrios


    Full Text Available Vivencio Barrios1, Carlos Escobar1, Alberto Calderon2, Michael Böhm31Department of Cardiology, Hospital Ramón y Cajal, Madrid, Spain; 2Primary Care Center Rosa de Luxemburgo, Madrid, Spain; 3Klinik für Innere Medizin III, Universitätsklinikum des Saarlandes, Homburg/Saar, GermanyAims: Guidelines recommend blood pressure (BP in hypertensive patients should be <140 systolic BP (SBP and <90 diastolic BP (DBP mmHg. This analysis assessed goal rate achievement in hypertensive patients receiving olmesartan-based treatment in the OLMEBEST study.Methods: Patients with essential hypertension (DBP ≥ 90 mmHg and <110 mmHg received open-label olmesartan medoxomil 20 mg/day (n = 2306. After 8 weeks, patients with DBP ≥ 90 mmHg (n = 627 were randomized to 4 weeks’ double-blind treatment with olmesartan 40 mg/day monotherapy or olmesartan 20 mg/day plus hydrochlorothiazide (HCTZ 12.5 mg/day. For this analysis, the numbers and proportions of patients who achieved SBP < 140 mmHg and/or DBP < 90 mmHg at the end of the 4 weeks were calculated.Results: In patients who achieved DBP normalization (<90 mmHg at week 8 (n = 1546 and continued open-label olmesartan 20 mg/day, 66.7% achieved SBP/DBP < 140/90 mmHg at Week 12. In patients who did not achieve DBP normalization at Week 8, 26.8% of those randomized to olmesartan 40 mg/day and 42.5% of those randomized to olmesartan 20 mg/day plus HCTZ 12.5 mg/day achieved a SBP/DBP < 140/90 mmHg at Week 12.Conclusion: Olmesartan 40 mg/day and olmesartan 20 mg/day plus HCTZ 12.5 mg/day allow substantial proportions of patients to achieve BP goals.Keywords: olmesartan medoxomil, hypertension, angiotensin II receptor blocker, goal rates, hydrochlorothiazide

  18. Nutritional and socio-economic determinants of cognitive function and educational achievement of Aboriginal schoolchildren in rural Malaysia. (United States)

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


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

  19. Longer term improvement in neurocognitive functioning and affective distress among methamphetamine users who achieve stable abstinence. (United States)

    Iudicello, Jennifer E; Woods, Steven P; Vigil, Ofilio; Scott, J Cobb; Cherner, Mariana; Heaton, Robert K; Atkinson, J Hampton; Grant, Igor


    Chronic use of methamphetamine (MA) is associated with neuropsychological dysfunction and affective distress. Some normalization of function has been reported after abstinence, but little in the way of data is available on the possible added benefits of long-term sobriety. To address this, we performed detailed neuropsychological and affective evaluations in 83 MA-dependent individuals at a baseline visit and following an average one-year interval period. Among the 83 MA-dependent participants, 25 remained abstinent, and 58 used MA at least once during the interval period. A total of 38 non-MA-addicted, demographically matched healthy comparison (i.e., HC) participants were also examined. At baseline, both MA-dependent participants who were able to maintain abstinence and those who were not performed significantly worse than the healthy comparison subjects on global neuropsychological functioning and were significantly more distressed. At the one-year follow-up, both the long-term abstainers and healthy comparison groups showed comparable global neuropsychological performance and affective distress levels, whereas the MA-dependent group who continued to use MA were worse than the comparison participants in terms of global neuropsychological functioning and affective distress. An interaction was observed between neuropsychological impairment at baseline, MA abstinence, and cognitive improvement, with abstinent MA-dependent participants who were neuropsychologically impaired at baseline demonstrating significantly and disproportionately greater improvement in processing speed and slightly greater improvement in motor abilities than the other participants. These results suggest partial recovery of neuropsychological functioning and improvement in affective distress upon sustained abstinence from MA that may extend beyond a year or more.

  20. Functional joint regeneration is achieved using reintegration mechanism in Xenopus laevis. (United States)

    Tsutsumi, Rio; Yamada, Shigehito; Agata, Kiyokazu


    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.

  1. Early math achievement and functional connectivity in the fronto-parietal network. (United States)

    Emerson, Robert W; Cantlon, Jessica F


    In this study we test the hypothesis that the functional connectivity of the frontal and parietal regions that children recruit during a basic numerical task (matching Arabic numerals to arrays of dots) is predictive of their math test scores (TEMA-3; Ginsburg, 2003). Specifically, we tested 4-11-year-old children on a matching task during fMRI to localize a fronto-parietal network that responds more strongly during numerical matching than matching faces, words, or shapes. We then tested the functional connectivity between those regions during an independent task: natural viewing of an educational video that included math topics. Using this novel natural viewing method, we found that the connectivity between frontal and parietal regions during task-independent free-viewing of educational material is correlated with children's basic number matching ability, as well as their scores on the standardized test of mathematical ability (the TEMA). The correlation between children's mathematics scores and fronto-parietal connectivity is math-specific in the sense that it is independent of children's verbal IQ scores. Moreover, a control network, selective for faces, showed no correlation with mathematics performance. Finally, brain regions that correlate with subjects' overall response times in the matching task do not account for our number- and math-related effects. We suggest that the functional intersection of number-related frontal and parietal regions is math-specific.

  2. Basic Functional Analysis Puzzles of Spectral Flow

    DEFF Research Database (Denmark)

    Booss-Bavnbek, Bernhelm


    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....

  3. Differential analysis of matrix convex functions II

    DEFF Research Database (Denmark)

    Hansen, Frank; Tomiyama, Jun


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

  4. Linear functional analysis for scientists and engineers

    CERN Document Server

    Limaye, Balmohan V


    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...

  5. Is psychological membership in the classroom a function of standing out while fitting in? Implications for achievement motivation and emotions. (United States)

    Gray, DeLeon L


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

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

    Directory of Open Access Journals (Sweden)

    Stanley G M Ridge


    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.

  7. Examining the relation between ratings of executive functioning and academic achievement: findings from a cross-cultural study. (United States)

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


    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 exacerbated in China is most likely the result of cultural biases. Boys were generally rated as having poorer executive functioning compared to girls, except in Iran where parents, but not teachers, rated girls as having poorer executive functioning compared to boys. However, this opposite pattern of results found for Iran is not likely to reflect true gender differences in executive functioning. Despite some differences in the levels of executive functioning across countries, both the inhibition and working memory subscales of the CHEXI were related to academic achievement in all four countries, except for CHEXI parent ratings in China. Altogether, the results indicate that the CHEXI may be used as a screening measure for early academic difficulties, although cultural biases clearly have to be taken into consideration.

  8. Construction and analysis of cryptographic functions

    CERN Document Server

    Budaghyan, Lilya


    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

  9. Multivariate analysis of functional metagenomes

    Directory of Open Access Journals (Sweden)

    Elizabeth A. Dinsdale


    Full Text Available Metagenomics is a primary tool for the description of microbial and viral communities. The sheer magnitude of the data generated in each metagenome makes identifying key differences in the function and taxonomy between communities difficult to elucidate. Here we discuss the application of seven different data mining and statistical analyses by comparing and contrasting the metabolic functions of 212 microbial metagenomes within and between 10 environments. Not all approaches are appropriate for all questions, and researchers should decide which approach addresses their questions. This work demonstrated the use of each approach: for example, random forests provided a robust and enlightening description of both the clustering of metagenomes and the metabolic processes that were important in separating microbial communities from different environments. All analyses identified that the presence of phage genes within the microbial community was a predictor of whether the microbial community was host associated or free living. Several analyses identified the subtle differences that occur with environments, such as those seen in different regions of the marine environment.

  10. Estimating Premorbid Functioning in Huntington's Disease: The Relationship between Disease Progression and the Wide Range Achievement Test Reading Subtest (United States)

    O'Rourke, Justin J.F.; Adams, William H.; Duff, Kevin; Byars, Joanne; Nopoulos, Peg; Paulsen, Jane S.; Beglinger, Leigh J.


    The estimation of premorbid abilities is an essential part of a neuropsychological evaluation, especially in neurodegenerative conditions. Although word pronunciation tests are one standard method for estimating the premorbid level, research suggests that these tests may not be valid in neurodegenerative diseases. Therefore, the current study sought to examine two estimates of premorbid intellect, the Wide Range Achievement Test (WRAT) Reading subtest and the Barona formula, in 93 patients with mild to moderate Huntington's disease (HD) to determine their utility and to investigate how these measures relate to signs and symptoms of disease progression. In 89% of participants, WRAT estimates were below the Barona estimates. WRAT estimates were related to worsening memory and motor functioning, whereas the Barona estimates had weaker relationships. Neither estimate was related to depression or functional capacity. Irregular word reading tests appear to decline with HD progression, whereas estimation methods based on demographic factors may be more robust but overestimate premorbid functioning. PMID:21147861


    Directory of Open Access Journals (Sweden)

    Ioan DONE


    Full Text Available The functional market economy, characterised firstly by competitiveness cannot be achieved but with the immediate involvement of elite within all structures and all levels. This appreciation is largely confirmed by the economic-social successes of several states, called more and more meritocracy states.The road from chances to realities is strewn in all cases with difficulties and lacks, and each time the success is for individuals who are simultaneously aware and motivated. Romania has a high potential of elite’s generation, the share of over-endowed of total population being double in comparison to the world average. For our country a development strategy built on promoting elite and ensuring the conditions for reforms and professional achievement is necessary.

  12. Function analysis of unknown genes

    DEFF Research Database (Denmark)

    Rogowska-Wrzesinska, A.


    leading to decreased growth rate, decreased glucose metabolism, decreased amino acid and protein synthesis and increased protein degradation. Some of these responses define a new type of stress that results from changes in the internal cell environment by overexpression of a membrane protein. Chapter 5...... that have been post-translationally modified by N- or C-terminal truncation and we show that this protein processing is not random and shows a specific pattern for a given yeast strain. Chapter 7 illustrates the construction of yeast proteome database and its potential application in characterising yeast...... analysis is a powerful tool to study yeast proteome and the complex proteome database gives a broad view on the molecular cell biology of yeast. The global database approach allows combining proteome data from different mutants and experiment conditions (e.g. heat stress, phosphate labelling, N...

  13. Affect and achievement goals in physical activity: a meta-analysis. (United States)

    Ntoumanis, N; Biddle, S J


    Achievement goal orientation theory has been the subject of extensive research in recent years. In view of the importance of identifying the motivational antecedents of affect in physical activity, this study examined through meta-analysis the conflicting evidence regarding the links between different achievement goals and emotions. Using the formulas of Hunter and Schmidt (1), correlations were gathered from 41 independent samples and were corrected for both sampling and measurement errors. The results showed that task orientation and positive affect were moderately-to-highly correlated and in a positive fashion, whereas the relationship between task orientation and negative affect was negative and moderate to small. Both correlations were found to be heterogeneous, and so moderators were sought. The relationships between ego orientation and positive and negative affect were positive but very small, with the former being heterogeneous. Moderators coded were the time frame of affect (independent of context vs. after an athletic event), the physical activity setting (school physical education vs. recreation vs. competitive sport), age (university vs. school students), nationality (British vs. American), nature of negative affect (high vs. low arousal), and the publication status of the studies (published vs. unpublished). Lastly, a subset of the corrected correlations were inserted into a structural equation modelling analysis in order to look concurrently at the relationships among all the variables.

  14. Static analysis of function calls in Erlang

    Directory of Open Access Journals (Sweden)

    Dániel Horpácsi


    Full Text Available Functions and their relations can affect numerous properties and metrics of a functional program. To identify and represent the functions and their calling connections, software analysers commonly apply semantic function analysis, which derives the static call graph of the program, based on its source code. Function calls however may be dynamic and complex, making it difficult to statically identify the callee. Dynamic calls are determined just at run-time, static analysis therefore cannot be expected to fully identify every call. Nevertheless, by utilising the results of a properly performed data-flow analysis as well as taking ambiguous references into account, numerous dynamic calls are discoverable and representable. We consider cases where the identifiers of the callee are statically determined, but they flow into the call expression from a different program point, and also, we manage to handle function calls whose identifiers are not fully identifiable at compile-time. By utilising the improved reference analysis, we extend the static call graph with various information about dynamic function calls. We investigate such a function call analysis in the programming language Erlang.

  15. The Functional Methods of Discourse Analysis

    Institute of Scientific and Technical Information of China (English)



    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.

  16. Pathway-Based Functional Analysis of Metagenomes (United States)

    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.

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

    Energy Technology Data Exchange (ETDEWEB)

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


    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.

  18. Functional Analysis and Treatment of Aberrant Behavior. (United States)

    Mace, F. Charles; And Others


    This article reviews general classes of variables which help to maintain aberrant behavior including attention seeking, sensory and perceptual consequences, and access to materials or activities. Suggestions for a methodology providing a comprehensive functional analysis are offered which include descriptive analysis, hypothesis forming,…

  19. Functional Data Analysis Applied in Chemometrics

    DEFF Research Database (Denmark)

    Muller, Martha

    the worlds of statistics and chemometrics. We want to provide a glimpse of the essential and complex data pre-processing that is well known to chemometricians, but is generally unknown to statisticians. Pre-processing can potentially have a strong in uence on the results of consequent data analysis. Our......In this thesis we explore the use of functional data analysis as a method to analyse chemometric data, more specically spectral data in metabolomics. Functional data analysis is a vibrant eld in statistics. It has been rapidly expanding in both methodology and applications since it was made well...... known by Ramsay & Silverman's monograph in 1997. In functional data analysis, the data are curves instead of data points. Each curve is measured at discrete points along a continuum, for example, time or frequency. It is assumed that the underlying process generating the curves is smooth...

  20. Spectral theory and nonlinear functional analysis

    CERN Document Server

    Lopez-Gomez, Julian


    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.

  1. The ups and downs of coping and sport achievement: an episodic process analysis of within-person associations. (United States)

    Gaudreau, Patrick; Nicholls, Adam; Levy, Andrew R


    This study examined the relationship between coping and sport achievement at the within-person level of analysis. Fifty-four golfers completed diary measures of coping, stress, and sport achievement after six consecutive rounds of golf. Results of hierarchical linear modeling revealed golfers' episodic task-oriented coping and disengagement-oriented coping were associated, respectively, with their better and worst levels of subjective and objective achievement. Distraction-oriented coping was not significantly associated with achievement. These results were obtained after accounting for between-subjects differences in ability level and for within-person variations in perceived stress across both practice and competitive golf rounds. These results contribute to an emerging literature on the relationship between coping and sport achievement, and highlight the promises of an episodic process model of sport achievement to understand the transient self-regulatory factors associated with within-person variations in athletic achievement.

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

    Directory of Open Access Journals (Sweden)

    Tatyana Aleksandrovna Izbiyenova


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

  3. Electrochemical flow injection analysis of hydrazine in an excess of an active pharmaceutical ingredient: achieving pharmaceutical detection limits electrochemically. (United States)

    Channon, Robert B; Joseph, Maxim B; Bitziou, Eleni; Bristow, Anthony W T; Ray, Andrew D; Macpherson, Julie V


    The quantification of genotoxic impurities (GIs) such as hydrazine (HZ) is of critical importance in the pharmaceutical industry in order to uphold drug safety. HZ is a particularly intractable GI and its detection represents a significant technical challenge. Here, we present, for the first time, the use of electrochemical analysis to achieve the required detection limits by the pharmaceutical industry for the detection of HZ in the presence of a large excess of a common active pharmaceutical ingredient (API), acetaminophen (ACM) which itself is redox active, typical of many APIs. A flow injection analysis approach with electrochemical detection (FIA-EC) is utilized, in conjunction with a coplanar boron doped diamond (BDD) microband electrode, insulated in an insulating diamond platform for durability and integrated into a two piece flow cell. In order to separate the electrochemical signature for HZ such that it is not obscured by that of the ACM (present in excess), the BDD electrode is functionalized with Pt nanoparticles (NPs) to significantly shift the half wave potential for HZ oxidation to less positive potentials. Microstereolithography was used to fabricate flow cells with defined hydrodynamics which minimize dispersion of the analyte and optimize detection sensitivity. Importantly, the Pt NPs were shown to be stable under flow, and a limit of detection of 64.5 nM or 0.274 ppm for HZ with respect to the ACM, present in excess, was achieved. This represents the first electrochemical approach which surpasses the required detection limits set by the pharmaceutical industry for HZ detection in the presence of an API and paves the wave for online analysis and application to other GI and API systems.

  4. Choosing among Multiple Achievement Measures: Applying Multitrait--Multimethod Confirmatory Factor Analysis to State Assessment, ACT, and Student GPA Data (United States)

    Dickinson, Emily R.; Adelson, Jill L.


    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…

  5. A Multi-Level Simultaneous Analysis of How Student and School Characteristics Are Related to Students' English Language Achievement (United States)

    Güvendir, Emre


    This study examines how student and school characteristics are related to Turkish students' English language achievement in Evaluation of Student Achievement Test (ÖBBS) of 2009. The participants of the study involve 43707 ninth year students who were required to take ÖBBS in 2009. For data analysis two level hierarchical linear modeling was…

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

    Directory of Open Access Journals (Sweden)

    Andrzej Sokolowski


    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.

  7. The Effect of Web-Based Instruction on Achievement: A Meta- Analysis Study

    Directory of Open Access Journals (Sweden)

    Mucahit Camnalbur


    Full Text Available In this study, the master’s and PhD theses that compare web supported and web based teaching methods with traditional teaching methods according to their effect on students’ academic accomplishment and which are published in The Council of Higher Education (YOK National Theses Center’s database and that have been given permission to access have been examined. For this aim, 170 theses have been examined and 27 experimental studies that suit the meta-analysis inclusion criteria have been taken within the scope of the research. While including the studies in the research, a categorization as to at which level of the lesson (presentation, lesson preparation, exercise etc. the web supported teaching were used has not been made. In this study where meta-analytic effect analysis method has been used, the data have been analyzed and the effect size of web supported and web based applications on students’ academic success in the courses and topics that are dealt has been found as 0.807 compared to traditional method. According to this, a conclusion can be drawn that web supported instruction environments make a positive contribution on students’ academic achievement compared to the environments in which traditional teaching is carried out.

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

    Directory of Open Access Journals (Sweden)

    Suprava Patel


    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.

  9. Biosensors in Health Care: The Milestones Achieved in Their Development towards Lab-on-Chip-Analysis (United States)

    Patel, Suprava; Nanda, Rachita; Sahoo, Sibasish; Mohapatra, Eli


    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. PMID:27042353

  10. Constraint Analysis and Countermeasures for China s Forestry Scientific and Technological Achievements Transformation

    Institute of Scientific and Technical Information of China (English)


    This paper analyzes the constraint factors of forestry scientific and technological achievements transformation and explores the countermeasures and measures to promote the transformation. It points out that to achieve maximum return from investment funds in forestry research, it shall improve the transformation of scientific and technological achievements, enhance independent innovation capability, and greatly enhance the supply capacity of scientific and technological achievements, so as to provide endles...

  11. Investigating Linguistic Sources of Differential Item Functioning Using Expert Think-Aloud Protocols in Science Achievement Tests (United States)

    Roth, Wolff-Michael; Oliveri, Maria Elena; Dallie Sandilands, Debra; Lyons-Thomas, Juliette; Ercikan, Kadriye


    Even if national and international assessments are designed to be comparable, subsequent psychometric analyses often reveal differential item functioning (DIF). Central to achieving comparability is to examine the presence of DIF, and if DIF is found, to investigate its sources to ensure differentially functioning items that do not lead to bias. In this study, sources of DIF were examined using think-aloud protocols. The think-aloud protocols of expert reviewers were conducted for comparing the English and French versions of 40 items previously identified as DIF (N = 20) and non-DIF (N = 20). Three highly trained and experienced experts in verifying and accepting/rejecting multi-lingual versions of curriculum and testing materials for government purposes participated in this study. Although there is a considerable amount of agreement in the identification of differentially functioning items, experts do not consistently identify and distinguish DIF and non-DIF items. Our analyses of the think-aloud protocols identified particular linguistic, general pedagogical, content-related, and cognitive factors related to sources of DIF. Implications are provided for the process of arriving at the identification of DIF, prior to the actual administration of tests at national and international levels.


    Directory of Open Access Journals (Sweden)

    A. A. Karpov


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

  13. Functional analysis of plastid-encoded genes


    Swiatek, Magdalena


    Plastid chromosomes from the variety of plant species contain several conserved open reading frames of unknown function, which most probably represent functional genes. The primary aim of this thesis was the analysis of the role of two such ORFs, designated ycfs or hypothetical chloroplast reading frames, namely ycf9 (ORF62) and ycf10 (ORF229, cemA). Both were analyzed in Nicotiana tabacum (tobacco) via their inactivation using biolistic plastid transformation. A new experiment...

  14. Pineal function: impact of microarray analysis

    DEFF Research Database (Denmark)

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


    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, 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...... foundation that microarray analysis has provided will broadly support future research on pineal function....

  15. Functional Organosulfide Electrolyte Promotes an Alternate Reaction Pathway to Achieve High Performance in Lithium-Sulfur Batteries. (United States)

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


    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.

  16. Boolean nested canalizing functions: a comprehensive analysis

    CERN Document Server

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


    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...

  17. GPU accelerated dynamic functional connectivity analysis for functional MRI data. (United States)

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


    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.

  18. A Complexity Analysis of Functional Interpretations

    DEFF Research Database (Denmark)

    Hernest, Mircea-Dan; Kohlenbach, Ulrich


    We give a quantitative analysis of G ̈odel’s functional interpretation and its monotone variant. The two have been used for the extraction of programs and numerical bounds as well as for conservation results. They apply both to (semi-)intuitionistic as well as (combined with negative translation)...

  19. A complexity analysis of functional interpretations

    DEFF Research Database (Denmark)

    Hernest, Mircea-Dan; Kohlenbach, Ulrich


    Summary: We give a quantitative analysis of Gödel's functional     interpretation and its monotone variant. The two have been used     for the extraction of programs and numerical bounds as well as     for conservation results. They apply both to (semi-)intuitionistic     as well as (combined...

  20. Pineal function : Impact of microarray analysis

    NARCIS (Netherlands)

    Klein, David C.; Bailey, Michael J.; Carter, David A.; Kim, Jong-so; Shi, Qiong; Ho, Anthony K.; Chik, Constance L.; Gaildrat, Pascaline; Morin, Fabrice; Ganguly, Surajit; Rath, Martin F.; Moller, Morten; Sugden, David; Rangel, Zoila G.; Munson, Peter J.; Weller, Joan L.; Coon, Steven L.


    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 retin

  1. Functional Analysis and Treatment of Severe Pica. (United States)

    Mace, F. Charles; Knight, David


    A two-phase functional analysis of a profoundly retarded 19-year-old male's pica behavior resulted in an effective staff-implemented treatment consisting of limited staff-client interaction and removal of a protective helmet which had previously been prescribed to help control pica. (Author/JW)

  2. Improving information retrieval in functional analysis. (United States)

    Rodriguez, Juan C; González, Germán A; Fresno, Cristóbal; Llera, Andrea S; Fernández, Elmer A


    Transcriptome analysis is essential to understand the mechanisms regulating key biological processes and functions. The first step usually consists of identifying candidate genes; to find out which pathways are affected by those genes, however, functional analysis (FA) is mandatory. The most frequently used strategies for this purpose are Gene Set and Singular Enrichment Analysis (GSEA and SEA) over Gene Ontology. Several statistical methods have been developed and compared in terms of computational efficiency and/or statistical appropriateness. However, whether their results are similar or complementary, the sensitivity to parameter settings, or possible bias in the analyzed terms has not been addressed so far. Here, two GSEA and four SEA methods and their parameter combinations were evaluated in six datasets by comparing two breast cancer subtypes with well-known differences in genetic background and patient outcomes. We show that GSEA and SEA lead to different results depending on the chosen statistic, model and/or parameters. Both approaches provide complementary results from a biological perspective. Hence, an Integrative Functional Analysis (IFA) tool is proposed to improve information retrieval in FA. It provides a common gene expression analytic framework that grants a comprehensive and coherent analysis. Only a minimal user parameter setting is required, since the best SEA/GSEA alternatives are integrated. IFA utility was demonstrated by evaluating four prostate cancer and the TCGA breast cancer microarray datasets, which showed its biological generalization capabilities.

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

    Energy Technology Data Exchange (ETDEWEB)


    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)

  4. Behavioral Engagement in Learning and Math Achievement over Kindergarten: A Contextual Analysis (United States)

    Robinson, Keith; Mueller, Anna S.


    Using nationally representative data on 12,462 kindergarten children, this report examines the link between behavioral engagement and math achievement growth during kindergarten. Multilevel models show that students with higher individual engagement tend to experience larger math achievement growth over kindergarten, that classroom engagement…

  5. Longitudinal Analysis of Chinese High School Student's Stress in School and Academic Achievement (United States)

    Liu, Yangyang; Lu, Zuhong


    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…

  6. Understanding Mathematics Achievement: An Analysis of the Effects of Student and Family Factors (United States)

    Goforth, Kate; Noltemeyer, Amity; Patton, Jon; Bush, Kevin R.; Bergen, Doris


    Educators are increasingly recognising the importance of improving students' mathematics achievement. Much of the current research focuses on the impact of instructional variables on mathematics achievement. The goal of this study was to examine the influence of less researched variables--family and student factors. Participants were 747…

  7. Influence of Socioeconomic Disadvantages on Mathematics Achievement: A Multilevel Cohort Analysis (United States)

    Singh, Malkeet


    Closing the achievement gap in public education is a worthy goal that has been included as a top priority in the No Child Left Behind Act of 2001 (2002). This study analyzed the most salient predictors at the student and school levels to identify their long-term impact on mathematics achievement from the elementary grades to high school. The…

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

    Demir, Seda; Basol, Gülsah


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

  9. A Comparative Analysis of Preschool Attendance and Reading Achievement among Second-Grade Students (United States)

    Burton, Kelly Latham


    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,…

  10. An Analysis of Java Programming Behaviors, Affect, Perceptions, and Syntax Errors among Low-Achieving, Average, and High-Achieving Novice Programmers (United States)

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


    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…

  11. A Framework for Achieving Situational Awareness during Crisis based on Twitter Analysis (United States)

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


    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

  12. Analysis of attitude and achievement using the 5E instructional model in an interactive television environment (United States)

    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.

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

    Energy Technology Data Exchange (ETDEWEB)

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


    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.

  14. Biosensors for functional food safety and analysis. (United States)

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


    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.

  15. Medial Cochlear Efferent Function: A Theoretical Analysis (United States)

    Mountain, David C.


    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.

  16. Latent Structure Analysis of Longitudinal Data on Relations Between Intellectual Abilities and School Achievement. (United States)

    Kuusinen, J; Leskinen, E


    Covariance structure modelling by LISREL was applied to analyze the relations between intellectual ability, as measured by ITPA, and achievement in reading, writing, foreign language and mathematics in longitudinal data with 8 to 10 years' time interval between measurements. The subjects' (N = 234) ability scores were obtained at 5-7 years of age, and their achievement was measured at 14-16 years of age. The effect of ability to achievement was studied by analyzing structural equation models on both first-order ability and achievement factors and by developing a two-stage second-order factor estimation method for structural equation parameters between first-order ability and achievement factors. Squared multiple correlations and coefficients of determination as indices of explained variance were derived for reduced forms of structural equations. The general latent intellectual ability explained 49% of variance in school achievement. The results showed the high validity of ITPA in explaining school success as well as the great flexibility and usefulness of covariance structure modelling by LISREL in analyzing longitudinal data.

  17. Industrial entrepreneurial network: Structural and functional analysis (United States)

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


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

  18. Semen analysis and sperm function testing

    Institute of Scientific and Technical Information of China (English)

    Daniel R Franken; Sergio Oehninger


    Despite controversy regarding the clinical value of semen analysis,male fertility investigation still relies on a standardized analysis of the semen parameters.This is especially true for infertility clinics in both developing and developed countries.Other optional tests or sophisticated technologies have not been widely applied.The current review addresses important changes in the analysis of semen as described in the new World Health Organization (WHO) manual for semen analysis.The most important change in the manual is the use of evidence-based publications as references to determine cutoff values for normality.Apart from the above mentioned changes,the initial evaluation and handling methods remain,in most instances,the same as in previous editions.Furthermore,the review evaluates the importance of quality control in andrology with emphasis on the evaluation of sperm morphology.WHO sperm morphology training programmes for Sub-Saharan countries were initiated at Tygerberg Hospital in 1995.1he external quality control programme has ensured that the majority of participants have maintained their morphological reading skills acquired during initial training.This review reports on current sperm functional tests,such as the induced acrosome reaction,and sperm-zona pellucida binding assays,as well as the impact of sperm qualitv in terms of DNA integritv,and the relationship of sperm function tests to sperm morphologv.

  19. Can Research Design Explain Variation in Head Start Research Results? A Meta-Analysis of Cognitive and Achievement Outcomes (United States)

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


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

  20. Integrating anatomy and function for zebrafish circuit analysis. (United States)

    Arrenberg, Aristides B; Driever, Wolfgang


    Due to its transparency, virtually every brain structure of the larval zebrafish is accessible to light-based interrogation of circuit function. Advanced stimulation techniques allow the activation of optogenetic actuators at different resolution levels, and genetically encoded calcium indicators report the activity of a large proportion of neurons in the CNS. Large datasets result and need to be analyzed to identify cells that have specific properties-e.g., activity correlation to sensory stimulation or behavior. Advances in three-dimensional (3D) functional mapping in zebrafish are promising; however, the mere coordinates of implicated neurons are not sufficient. To comprehensively understand circuit function, these functional maps need to be placed into the proper context of morphological features and projection patterns, neurotransmitter phenotypes, and key anatomical landmarks. We discuss the prospect of merging functional and anatomical data in an integrated atlas from the perspective of our work on long-range dopaminergic neuromodulation and the oculomotor system. We propose that such a resource would help researchers to surpass current hurdles in circuit analysis to achieve an integrated understanding of anatomy and function.

  1. Single-parent households and children's educational achievement: A state-level analysis. (United States)

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


    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.

  2. Functional Analysis of Arabidopsis Sucrose Transporters

    Energy Technology Data Exchange (ETDEWEB)

    John M. Ward


    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.

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

    Kranjac, Ashley Wendell


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

  4. The effects of functional group counseling on inspiring low-achieving students' self-worth and self-efficacy in Taiwan. (United States)

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


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

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

    Directory of Open Access Journals (Sweden)

    Abdul Hamid


    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.

  6. On Money and Motivation: A Quasi-Experimental Analysis of Financial Incentives for College Achievement (United States)

    Scott-Clayton, Judith


    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…

  7. Financial Aid Tipping Points: An Analysis of Aid and Academic Achievement at a California Community College (United States)

    Coria, Elizabeth; Hoffman, John L.


    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…

  8. Relationship between Educational Resources and School Achievement: A Mixed Method Intra-District Analysis (United States)

    Jimenez-Castellanos, Oscar


    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…

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

    NARCIS (Netherlands)

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


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

  10. Analysis of Frequency of Tests and Varying Feedback Delays in College Mathematics Achievement (United States)

    Townsend, Neal R.; Wheatley, Grayson H.


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

  11. Analysis of Learning Achievement and Teacher-Student Interactions in Flipped and Conventional Classrooms (United States)

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


    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.…

  12. Gender Disparity Analysis in Academic Achievement at Higher Education Preparatory Schools: Case of South Wollo, Ethiopia (United States)

    Eshetu, Amogne Asfaw


    Gender is among the determinant factors affecting students' academic achievement. This paper tried to investigate the impact of gender on academic performance of preparatory secondary school students based on 2014 EHEECE result. Ex post facto research design was used. To that end, data were collected from 3243 students from eight purposively…

  13. The Effects of Statistical Analysis Software and Calculators on Statistics Achievement (United States)

    Christmann, Edwin P.


    This study compared the effects of microcomputer-based statistical software and hand-held calculators on the statistics achievement of university males and females. The subjects, 73 graduate students enrolled in univariate statistics classes at a public comprehensive university, were randomly assigned to groups that used either microcomputer-based…

  14. Efficacy of the Cooperative Learning Method on Mathematics Achievement and Attitude: A Meta-Analysis Research (United States)

    Capar, Gulfer; Tarim, Kamuran


    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,…

  15. Achievement Goal Orientations and Subjective Well-Being: A Person-Centred Analysis (United States)

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


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

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

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


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

  17. The Concurrent Validity of the Diagnostic Analysis of Reading Errors as a Predictor of the English Achievement of Lebanese Students. (United States)

    Saigh, Philip A.; Khairallah, Shereen


    The concurrent validity of the Diagnostic Analysis of Reading Errors (DARE) subtests was studied, based on the responses of Lebanese secondary and postsecondary students relative to their achievement in an English course or on a standardized test of English proficiency. The results indicate that the DARE is not a viable predictor of English…

  18. Effects of Computer Applications on Elementary School Students' Achievement: A Meta-Analysis of Students in Taiwan (United States)

    Liao, Yuen-kuang Cliff; Chang, Huei-wen; Chen, Yu-wen


    A meta-analysis was performed to synthesize existing research comparing the effects of computer applications (i.e., computer-assisted instruction, computer simulations, and Web-based learning) versus traditional instruction on elementary school students' achievement in Taiwan. Forty-eight studies were located from four sources, and their…

  19. Effects of a Gluten-Free Diet on Rate of Achievement in Autistic Children in an Applied Behavioral Analysis Program. (United States)

    Gemmell, Melissa; Chambliss, Catherine

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

  20. FANTOM: Functional and taxonomic analysis of metagenomes

    Directory of Open Access Journals (Sweden)

    Sanli Kemal


    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

  1. Bioprospecting and Functional Analysis of Neglected Environments

    DEFF Research Database (Denmark)

    Vogt, Josef Korbinian

    of functional relationships in single organisms and environments. The sequencing data can also be mined for novel compounds and enzymes. The process of exploiting biological resources for commercial use is known as bioprospecting. This PhD thesis describes the concept of bioprospecting in the post genomic era...... on Biological Diversity (explained in Chapter 3). Proteolytic enzymes – described in Chapter 4 – are the target for bioprospecting due to their high market value. Section II describes methods used for the analysis of metagenomic and RNA-seq datasets, including Manuscript I, which includes the taxonomic...

  2. Functional analysis and the Feynman operator calculus

    CERN Document Server

    Gill, Tepper L


    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.

  3. Functional analysis of the Aspergillus nidulans kinome. (United States)

    De Souza, Colin P; Hashmi, Shahr B; Osmani, Aysha H; Andrews, Peter; Ringelberg, Carol S; Dunlap, Jay C; Osmani, Stephen A


    The filamentous fungi are an ecologically important group of organisms which also have important industrial applications but devastating effects as pathogens and agents of food spoilage. Protein kinases have been implicated in the regulation of virtually all biological processes but how they regulate filamentous fungal specific processes is not understood. The filamentous fungus Aspergillus nidulans has long been utilized as a powerful molecular genetic system and recent technical advances have made systematic approaches to study large gene sets possible. To enhance A. nidulans functional genomics we have created gene deletion constructs for 9851 genes representing 93.3% of the encoding genome. To illustrate the utility of these constructs, and advance the understanding of fungal kinases, we have systematically generated deletion strains for 128 A. nidulans kinases including expanded groups of 15 histidine kinases, 7 SRPK (serine-arginine protein kinases) kinases and an interesting group of 11 filamentous fungal specific kinases. We defined the terminal phenotype of 23 of the 25 essential kinases by heterokaryon rescue and identified phenotypes for 43 of the 103 non-essential kinases. Uncovered phenotypes ranged from almost no growth for a small number of essential kinases implicated in processes such as ribosomal biosynthesis, to conditional defects in response to cellular stresses. The data provide experimental evidence that previously uncharacterized kinases function in the septation initiation network, the cell wall integrity and the morphogenesis Orb6 kinase signaling pathways, as well as in pathways regulating vesicular trafficking, sexual development and secondary metabolism. Finally, we identify ChkC as a third effector kinase functioning in the cellular response to genotoxic stress. The identification of many previously unknown functions for kinases through the functional analysis of the A. nidulans kinome illustrates the utility of the A. nidulans gene

  4. Functional analysis of the Aspergillus nidulans kinome.

    Directory of Open Access Journals (Sweden)

    Colin P De Souza

    Full Text Available The filamentous fungi are an ecologically important group of organisms which also have important industrial applications but devastating effects as pathogens and agents of food spoilage. Protein kinases have been implicated in the regulation of virtually all biological processes but how they regulate filamentous fungal specific processes is not understood. The filamentous fungus Aspergillus nidulans has long been utilized as a powerful molecular genetic system and recent technical advances have made systematic approaches to study large gene sets possible. To enhance A. nidulans functional genomics we have created gene deletion constructs for 9851 genes representing 93.3% of the encoding genome. To illustrate the utility of these constructs, and advance the understanding of fungal kinases, we have systematically generated deletion strains for 128 A. nidulans kinases including expanded groups of 15 histidine kinases, 7 SRPK (serine-arginine protein kinases kinases and an interesting group of 11 filamentous fungal specific kinases. We defined the terminal phenotype of 23 of the 25 essential kinases by heterokaryon rescue and identified phenotypes for 43 of the 103 non-essential kinases. Uncovered phenotypes ranged from almost no growth for a small number of essential kinases implicated in processes such as ribosomal biosynthesis, to conditional defects in response to cellular stresses. The data provide experimental evidence that previously uncharacterized kinases function in the septation initiation network, the cell wall integrity and the morphogenesis Orb6 kinase signaling pathways, as well as in pathways regulating vesicular trafficking, sexual development and secondary metabolism. Finally, we identify ChkC as a third effector kinase functioning in the cellular response to genotoxic stress. The identification of many previously unknown functions for kinases through the functional analysis of the A. nidulans kinome illustrates the utility of the

  5. Divorce, approaches to learning, and children's academic achievement: a longitudinal analysis of mediated and moderated effects. (United States)

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


    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.

  6. Effects of Students' Beliefs on Mathematics and Achievement of University Students: Regression Analysis Approach

    Directory of Open Access Journals (Sweden)

    Velo Suthar


    Full Text Available Problem statement: At present, after almost more than 20-decades, Malaysia can boast of a solid national philosophy of education, despite tremendous struggles and hopes. The professional learning opportunities are necessary to enhance, support and sustain student's mathematics achievement. Approach: Empirical evidence had shown that student's belief in mathematics is crucial in meeting career aspiration. In addition mathematical beliefs are closely correlated to their mathematics achievement among university students. Results: The literature exposed that a few studies had been done on university undergraduates. The present study involves a sample of eighty-six university undergraduate students, who had completed a self-reported questionnaire related to student mathematical beliefs on three dimensions, viz-a-viz beliefs about mathematics, beliefs about importance of mathematics and beliefs on one's ability in mathematics. The reliability index, using the Cronbach's alpha was 0.86, indicating a high level of internal consistency. Records of achievement (GPA were obtained from the academic division, University Putra Malaysia. Based on these records, students were classified into the minor and major mathematics group. The authors examined student's mathematical beliefs based on a three dimensional logistic regression model estimation technique, appropriate for a survey design study. Conclusion/Recommendations: The results illustrated and identified significant relationships between student beliefs about importance of mathematics and beliefs on one's ability in mathematics with mathematics achievement. In addition, the Hosmer and Lemeshow test was non-significant with a chi-square of 8.46, p = 0.3, which indicated that there is a good model fit as the data did not significantly deviate from the model. The overall model, 77.9% of the sample was classified correctly.

  7. The Longitudinal Process of Early Parent Involvement on Student Achievement: A Path Analysis


    Hayakawa, Momoko; Englund, Michelle M.; Warner-Richter, Mallory N.; Reynolds, Arthur J.


    This longitudinal study investigated the process whereby early parent involvement in preschool effects student achievement from kindergarten through 6th grade. Participants were 1,539 low-income, mainly African American children and their mothers, in the Chicago Longitudinal Study. Program children (N = 989) received one or two years of the Child-Parent Center (CPC) program – a preschool intervention that strongly promoted parents' development of parent involvement skills within the school an...

  8. Systematic classification of unseeded batch crystallization systems for achievable shape and size analysis (United States)

    Acevedo, David; Nagy, Zoltan K.


    The purpose of the current work is to develop a systematic classification scheme for crystallization systems considering simultaneous size and shape variations, and to study the effect of temperature profiles on the achievable final shape of crystals for various crystallization systems. A classification method is proposed based on the simultaneous consideration of the effect of temperature profiles on nucleation and growth rates of two different characteristic crystal dimensions. Hence the approach provides direct indication of the extent in which crystal shape may be controlled for a particular system class by manipulating the supersaturation. A multidimensional population balance model (PBM) was implemented for unseeded crystallization processes of four different compounds. The effect between the nucleation and growth mechanisms on the final aspect ratio (AR) was investigated and it was shown that for nucleation dominated systems the AR is independent of the supersaturation profile. The simulation results confirmed experimentally also show that most crystallization systems tend to achieve an equilibrium shape hence the variation in the aspect ratio that can be achieved by manipulating the supersaturation is limited, in particular when nucleation is also taken into account as a competing phenomenon.

  9. Structural and functional analysis of rice genome

    Indian Academy of Sciences (India)

    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


    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. Biosignals Analysis for Kidney Function Effect Analysis of Fennel Aromatherapy

    Directory of Open Access Journals (Sweden)

    Bong-Hyun Kim


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

  11. Computer assistance in clinical functional analysis. (United States)

    Ahlers, M O; Jakstat, H A


    The use of computers in the dental practice has been primarily restricted to the acquisition of billing data. Additional possibilities for use of PCs exist in diagnostic data acquisition and evaluation; clinical functional analysis seems a particularly suitable application. Such software is now available: CMDfact. Dentally, it is based on a previously developed and published examination and documentation system, the graphic user interface of which is used in the newly developed software. After the examination data have been acquired by mouse click or numerical entry, these are available for evaluation. A special function, the "Diagnosis pilot" is integrated to support the user. This helps in the assignment of the appropriate "Initial diagnoses", since it brings together the individually existing principal symptoms and suitable diagnoses for the initial diagnosis in question and also states which diagnoses "would be appropriate" for this, but are not available. With 3D animation, the software also helps the dentist to explain aspects of CMD to patients. The software also assists the dentist with a detailed multimedia help system, which provides context-sensitive help for every examination step. These help functions explain the sense of the relevant examinations, their performance and evaluation in the form of short texts and explanatory photographs and videos.

  12. Functional data analysis of generalized regression quantiles

    KAUST Repository

    Guo, Mengmeng


    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.

  13. Introduction to measure theory and functional analysis

    CERN Document Server

    Cannarsa, Piermarco


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

    Directory of Open Access Journals (Sweden)

    Kathrin Hemmer


    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.

  15. Factors significantly related to science achievement of Malaysian middle school students: An analysis of TIMSS 1999 data (United States)

    Mokshein, Siti Eshah

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

  16. Tracking Undergraduate Student Achievement in a First-Year Physiology Course Using a Cluster Analysis Approach (United States)

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


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

  17. Identification and functional analysis of healing regulators in Drosophila. (United States)

    Álvarez-Fernández, Carmen; Tamirisa, Srividya; Prada, Federico; Chernomoretz, Ariel; Podhajcer, Osvaldo; Blanco, Enrique; Martín-Blanco, Enrique


    Wound healing is an essential homeostatic mechanism that maintains the epithelial barrier integrity after tissue damage. Although we know the overall steps in wound healing, many of the underlying molecular mechanisms remain unclear. Genetically amenable systems, such as wound healing in Drosophila imaginal discs, do not model all aspects of the repair process. However, they do allow the less understood aspects of the healing response to be explored, e.g., which signal(s) are responsible for initiating tissue remodeling? How is sealing of the epithelia achieved? Or, what inhibitory cues cancel the healing machinery upon completion? Answering these and other questions first requires the identification and functional analysis of wound specific genes. A variety of different microarray analyses of murine and humans have identified characteristic profiles of gene expression at the wound site, however, very few functional studies in healing regulation have been carried out. We developed an experimentally controlled method that is healing-permissive and that allows live imaging and biochemical analysis of cultured imaginal discs. We performed comparative genome-wide profiling between Drosophila imaginal cells actively involved in healing versus their non-engaged siblings. Sets of potential wound-specific genes were subsequently identified. Importantly, besides identifying and categorizing new genes, we functionally tested many of their gene products by genetic interference and overexpression in healing assays. This non-saturated analysis defines a relevant set of genes whose changes in expression level are functionally significant for proper tissue repair. Amongst these we identified the TCP1 chaperonin complex as a key regulator of the actin cytoskeleton essential for the wound healing response. There is promise that our newly identified wound-healing genes will guide future work in the more complex mammalian wound healing response.

  18. Identification and functional analysis of healing regulators in Drosophila.

    Directory of Open Access Journals (Sweden)

    Carmen Álvarez-Fernández

    Full Text Available Wound healing is an essential homeostatic mechanism that maintains the epithelial barrier integrity after tissue damage. Although we know the overall steps in wound healing, many of the underlying molecular mechanisms remain unclear. Genetically amenable systems, such as wound healing in Drosophila imaginal discs, do not model all aspects of the repair process. However, they do allow the less understood aspects of the healing response to be explored, e.g., which signal(s are responsible for initiating tissue remodeling? How is sealing of the epithelia achieved? Or, what inhibitory cues cancel the healing machinery upon completion? Answering these and other questions first requires the identification and functional analysis of wound specific genes. A variety of different microarray analyses of murine and humans have identified characteristic profiles of gene expression at the wound site, however, very few functional studies in healing regulation have been carried out. We developed an experimentally controlled method that is healing-permissive and that allows live imaging and biochemical analysis of cultured imaginal discs. We performed comparative genome-wide profiling between Drosophila imaginal cells actively involved in healing versus their non-engaged siblings. Sets of potential wound-specific genes were subsequently identified. Importantly, besides identifying and categorizing new genes, we functionally tested many of their gene products by genetic interference and overexpression in healing assays. This non-saturated analysis defines a relevant set of genes whose changes in expression level are functionally significant for proper tissue repair. Amongst these we identified the TCP1 chaperonin complex as a key regulator of the actin cytoskeleton essential for the wound healing response. There is promise that our newly identified wound-healing genes will guide future work in the more complex mammalian wound healing response.

  19. Identification of Energy Efficiency Opportunities through Building Data Analysis and Achieving Energy Savings through Improved Controls

    Energy Technology Data Exchange (ETDEWEB)

    Katipamula, Srinivas; Taasevigen, Danny J.; Koran, Bill


    This chapter will highlight analysis techniques to identify energy efficiency opportunities to improve operations and controls. A free tool, Energy Charting and Metrics (ECAM), will be used to assist in the analysis of whole-building, sub-metered, and/or data from the building automation system (BAS). Appendix A describes the features of ECAM in more depth, and also provide instructions for downloading ECAM and all resources pertaining to using ECAM.

  20. A Panel Analysis of Student Mathematics Achievement in the US in the 1990s: Does Increasing the Amount of Time in Learning Activities Affect Math Achievement? (United States)

    Aksoy, Tevfik; Link, Charles R.


    Uses panel estimation techniques to estimate econometric models of mathematics achievement determinants for a nationally representative sample of high-school students. Extra time spent on math homework increases test scores; an extra hour of TV viewing negatively affects scores. Longer math periods also help. (Contains 56 references.) (MLH)

  1. Economic Analysis on Monetization of Soil Functions

    Institute of Scientific and Technical Information of China (English)

    Zenglei; XI; Shaoqing; ZHANG


    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.

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

    Institute of Scientific and Technical Information of China (English)

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


    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.

  3. Determinants of Educational Achievement in Morocco: A Micro-Econometric Analysis Applied to the TIMSS Study (United States)

    Ibourk, Aomar


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

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

    NARCIS (Netherlands)

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


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

  5. Trend Analysis on Mathematics Achievements: A Comparative Study Using TIMSS Data (United States)

    Ker, H. W.


    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…

  6. A Meta-Analysis: The Relationship between Father Involvement and Student Academic Achievement (United States)

    Jeynes, William H.


    A meta-analysis was undertaken, including 66 studies, to determine the relationship between father involvement and the educational outcomes of urban school children. Statistical analyses were done to determine the overall impact and specific components of father involvement. The possible differing effects of paternal involvement by race were also…

  7. The Impact of Guided Notes on Post-Secondary Student Achievement: A Meta-Analysis (United States)

    Larwin, Karen H.; Larwin, David A.


    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…

  8. Analyzing Distributed Functions in an Integrated Hazard Analysis (United States)

    Morris, A. Terry; Massie, Michael J.


    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.

  9. Science Learning: A path analysis of its links with reading comprehension, question-asking in class and science achievement (United States)

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


    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).

  10. Functional analysis of variance for association studies.

    Directory of Open Access Journals (Sweden)

    Olga A Vsevolozhskaya

    Full Text Available While progress has been made in identifying common genetic variants associated with human diseases, for most of common complex diseases, the identified genetic variants only account for a small proportion of heritability. Challenges remain in finding additional unknown genetic variants predisposing to complex diseases. With the advance in next-generation sequencing technologies, sequencing studies have become commonplace in genetic research. The ongoing exome-sequencing and whole-genome-sequencing studies generate a massive amount of sequencing variants and allow researchers to comprehensively investigate their role in human diseases. The discovery of new disease-associated variants can be enhanced by utilizing powerful and computationally efficient statistical methods. In this paper, we propose a functional analysis of variance (FANOVA method for testing an association of sequence variants in a genomic region with a qualitative trait. The FANOVA has a number of advantages: (1 it tests for a joint effect of gene variants, including both common and rare; (2 it fully utilizes linkage disequilibrium and genetic position information; and (3 allows for either protective or risk-increasing causal variants. Through simulations, we show that FANOVA outperform two popularly used methods - SKAT and a previously proposed method based on functional linear models (FLM, - especially if a sample size of a study is small and/or sequence variants have low to moderate effects. We conduct an empirical study by applying three methods (FANOVA, SKAT and FLM to sequencing data from Dallas Heart Study. While SKAT and FLM respectively detected ANGPTL 4 and ANGPTL 3 associated with obesity, FANOVA was able to identify both genes associated with obesity.

  11. An analysis of science conceptual knowledge in journals of students with disabilities and normally achieving students (United States)

    Grigg, Gail S.

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

  12. Achieving Both Valid and Secure Logistic Regression Analysis on Aggregated Data from Different Private Sources

    CERN Document Server

    Hall, Rob; Fienberg, Stephen


    Preserving the privacy of individual databases when carrying out statistical calculations has a long history in statistics and had been the focus of much recent attention in machine learning In this paper, we present a protocol for computing logistic regression when the data are held by separate parties without actually combining information sources by exploiting results from the literature on multi-party secure computation. We provide only the final result of the calculation compared with other methods that share intermediate values and thus present an opportunity for compromise of values in the combined database. Our paper has two themes: (1) the development of a secure protocol for computing the logistic parameters, and a demonstration of its performances in practice, and (2) and amended protocol that speeds up the computation of the logistic function. We illustrate the nature of the calculations and their accuracy using an extract of data from the Current Population Survey divided between two parties.

  13. Comparative analysis of fabrication methods for achieving rounded microchannels in PDMS (United States)

    Bartlett, Nicholas W.; Wood, Robert J.


    Many microfluidic applications demand control over channel cross-sectional geometry. In particular, rounded microchannels are essential to the function of microfluidic valves, which have played an integral part in the success of microfluidics over the past fifteen years. Here we investigate the relative strengths and weaknesses of different strategies for fabricating rounded microchannels in PDMS, systematically examining five common strategies. We consider the appropriateness of the fabrication strategies for microchannels of differing sizes and aspect ratios, and evaluate these various strategies on a number of metrics ranging from microchannel resolution to fabrication difficulty. We discuss the merits of the different strategies for a range of applications, and make recommendations on which strategy to use based on the driving constraints of the device.

  14. Some Supplementary Methods for the Analysis of the Delis-Kaplan Executive Function System (United States)

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


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

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

    CERN Document Server

    Farida, Fassi; The ATLAS collaboration


    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...

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

    NARCIS (Netherlands)

    Chechurin, L.S.; Wits, W.W.; Bakker, H.M.; Vaneker, T.H.J.


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

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

    NARCIS (Netherlands)

    Chechurin, Leonid S.; Wits, Wessel W.; Bakker, Hans M.; Vaneker, Tom H.J.; Cascini, G.; Vaneker, T.H.J.


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

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

    Energy Technology Data Exchange (ETDEWEB)

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


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

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

    CERN Document Server

    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


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

    Directory of Open Access Journals (Sweden)

    Haw-Yen Chiu

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

  1. Analysis of Discrete Mittag - Leffler Functions

    Directory of Open Access Journals (Sweden)

    N. Shobanadevi


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

  2. The Relationships among Executive Functions, Metacognitive Skills and Educational Achievement in 5 and 7 Year-Old Children (United States)

    Bryce, Donna; Whitebread, David; Szucs, Dénes


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

  3. A boundary value problem for hypermonogenic functions in Clifford analysis

    Institute of Scientific and Technical Information of China (English)

    QIAO; Yuying


    This paper deals with a boundary value problem for hypermonogenic functions in Clifford analysis. Firstly we discuss integrals of quasi-Cauchy's type and get the Plemelj formula for hypermonogenic functions in Clifford analysis, and then we address Riemman boundary value problem for hypermonogenic functions.

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

    Directory of Open Access Journals (Sweden)

    Ernst-Joachim eHossner


    Full Text Available 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 recognising 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 behavioural 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, recognising functionally equivalent task solutions, finding innovative technique alternatives, distinguishing errors from style, and identifying root causes of movement errors.

  5. A functional approach to movement analysis and error identification in sports and physical education. (United States)

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


    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.

  6. Functional Analysis of P4-ATPases

    DEFF Research Database (Denmark)

    Theorin, Lisa

    and mammalian P4-ATPases have been studied extensively and the physiological function is mostly known, while the exact biochemistry and specific activity is mostly unknown. Even though the plant Arabidopsis thaliana has 12 P4-ATPases, not much is known about their function. In this study, the biochemical...

  7. New Mathematical Functions for Vacuum System Analysis (United States)

    Woronowicz, Michael S.


    A new bivariate function has been found that provides solutions of integrals having the form u (sup minus eta) e (sup u) du which arise when developing predictions for the behavior of pressure within a rigid volume under high vacuum conditions in the presence of venting as well as sources characterized by power law transient decay over the range [0,1] for eta and for u greater than or equal to 0. A few properties of the new function are explored in this work. For instance the eta equals 1/2 case reproduces the Dawson function. In addition, a slight variation of the solution technique reproduces the exponential integral for eta equals 1. The technique used to generate these functions leads to an approach for solving a more general class of nonlinear ordinary differential equations, with the potential for identifying other new functions that solve other integrals.

  8. Differential analysis of matrix convex functions

    DEFF Research Database (Denmark)

    Hansen, Frank; Tomiyama, Jun


    We analyze matrix convex functions of a fixed order defined in a real interval by differential methods as opposed to the characterization in terms of divided differences given by Kraus [F. Kraus, Über konvekse Matrixfunktionen, Math. Z. 41 (1936) 18-42]. We obtain for each order conditions...... for matrix convexity which are necessary and locally sufficient, and they allow us to prove the existence of gaps between classes of matrix convex functions of successive orders, and to give explicit examples of the type of functions contained in each of these gaps. The given conditions are shown to be also...... globally sufficient for matrix convexity of order two. We finally introduce a fractional transformation which connects the set of matrix monotone functions of each order n with the set of matrix convex functions of the following order n + 1...

  9. Gain-of-Function Research: Ethical Analysis. (United States)

    Selgelid, Michael J


    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

  10. Descriptive Topology in Selected Topics of Functional Analysis

    CERN Document Server

    Kakol, J; Pellicer, Manuel Lopez


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

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

    Energy Technology Data Exchange (ETDEWEB)

    Jalashgar, A.


    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.

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

    NARCIS (Netherlands)

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


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

  13. Shape Analysis Using the Auto Diffusion Function

    DEFF Research Database (Denmark)

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


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

  14. Analysis of affinely equivalent Boolean functions

    Institute of Scientific and Technical Information of China (English)

    MENG QingShu; ZHANG HuanGuo; YANG Min; WANG ZhangYi


    By some basic transforms and invariant theory, we give two results: 1) an algorithm,which can be used to judge if two Boolean functions are affinely equivalent and to obtain the equivalence relationship if they are equivalent. This is useful in studying Boolean functions and in engineering. For example, we classify all 8-variable homogeneous bent functions of degree 3 into two classes; 2) Reed-Muller codes R(4,6)/R(1,6), R(3,7)/R(1,7) are classified efficiently.

  15. Functional verification coverage measurement and analysis

    CERN Document Server

    Piziali, Andrew


    This book addresses a means of quantitatively assessing functional verification progress. Without this process, design and verification engineers, and management, are left guessing whether or not they have completed verifying the device they are designing.

  16. Safety analysis of autonomous excavator functionality

    Energy Technology Data Exchange (ETDEWEB)

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


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

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

    CERN Document Server

    Alpay, Daniel


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

  18. [Partial lease squares approach to functional analysis]. (United States)

    Preda, C


    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.

  19. Stability analysis of impulsive functional differential equations

    CERN Document Server

    Stamova, Ivanka


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

  20. Functional analysis of anomeric sugar kinases. (United States)

    Conway, Louis P; Voglmeir, Josef


    Anomeric sugar kinases perform fundamental roles in the metabolism of carbohydrates. Under- or overexpression of these enzymes, or mutations causing functional impairments can give rise to diseases such as galactosaemia and so the study of this class of kinase is of critical importance. In addition, anomeric sugar kinases which are naturally promiscuous, or have been artificially made so, may find application in the synthesis of libraries of drug candidates (for example, antibiotics), and natural or unnatural oligosaccharides and glycoconjugates. In this review, we provide an overview of the biological functions of these enzymes, the tools which have been developed to investigate them, and the current frontiers in their study.

  1. Asymptotic analysis for functional stochastic differential equations

    CERN Document Server

    Bao, Jianhai; Yuan, Chenggui


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

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

    Institute of Scientific and Technical Information of China (English)



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

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

    Directory of Open Access Journals (Sweden)

    Luis Ernesto Cervera Gómez


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

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

    Directory of Open Access Journals (Sweden)

    Maddison Ralph


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

  5. Binocular Vision Function Analysis of 75 Subjects

    Institute of Scientific and Technical Information of China (English)

    Ya-ping Gao; Hai-ying Wang; Xiu-rong Tang; Ying Zhang; Xiao-tong Huo


    @@ We randomly chose 75 subjects; 34 men and 41 womenwith an average age of 21 years. Our study method included subject interviews, and evamuination of their refractive and binocular vision functions.We recorded, basic biographical data, medical history, family history, lifestyle factors that relate to their use of vision and history of wearing glasses.

  6. Analysis of radial basis function interpolation approach

    Institute of Scientific and Technical Information of China (English)

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


    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.

  7. Continuous nowhere differentiable functions the monsters of analysis

    CERN Document Server

    Jarnicki, Marek


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

  8. Genetic analysis of basophil function in vivo. (United States)

    Sullivan, Brandon M; Liang, Hong-Erh; Bando, Jennifer K; Wu, Davina; Cheng, Laurence E; McKerrow, James K; Allen, Christopher D C; Locksley, Richard M


    Contributions by basophils to allergic and helminth immunity remain incompletely defined. Using sensitive interleukin 4 (Il4) reporter alleles, we demonstrate here that basophil IL-4 production occurs by a CD4(+) T cell-dependent process restricted to the peripheral tissues affected. We genetically marked and achieved specific deletion of basophils and found that basophils did not mediate T helper type 2 (T(H)2) priming in vivo. Two-photon imaging confirmed that basophils did not interact with antigen-specific T cells in lymph nodes but engaged in prolonged serial interactions with T cells in lung tissues. Although targeted deletion of IL-4 and IL-13 in either CD4(+) T cells or basophils had a minimal effect on worm clearance, deletion from both lineages demonstrated a nonredundant role for basophil cytokines in primary helminth immunity.

  9. Rumen development process in goats as affected by supplemental feeding v. grazing: age-related anatomic development, functional achievement and microbial colonisation. (United States)

    Jiao, Jinzhen; Li, Xiaopeng; Beauchemin, Karen A; Tan, Zhiliang; Tang, Shaoxun; Zhou, Chuanshe


    The aim of the present study was to describe age-related changes in anatomic, functional and microbial variables during the rumen development process, as affected by the feeding system (supplemental feeding v. grazing), in goats. Goats were slaughtered at seven time points that were selected to reflect the non-rumination (0, 7 and 14 d), transition (28 and 42 d) and rumination (56 and 70 d) phases of rumen development. Total volatile fatty acid (TVFA) concentration (P= 0·002), liquid-associated bacterial and archaeal copy numbers (Pmicrobial copy numbers (Pmicrobial copy numbers increased (Pamylase and protease activity potentials occurred at 28 d. Most anatomic and functional variables evolved progressively from 14 to 42 d, while microbial colonisation was fastest from birth to 28 d. These outcomes suggest that the supplemental feeding system is more effective in promoting rumen development than the grazing system; in addition, for both the feeding systems, microbial colonisation in the rumen is achieved at 1 month, functional achievement at 2 months, and anatomic development after 2 months.

  10. Classwide Functional Analysis and Treatment of Preschoolers' Disruptive Behavior (United States)

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


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

  11. The power of multiplexed functional analysis of genetic variants. (United States)

    Gasperini, Molly; Starita, Lea; Shendure, Jay


    New technologies have recently enabled saturation mutagenesis and functional analysis of nearly all possible variants of regulatory elements or proteins of interest in single experiments. Here we discuss the past, present, and future of such multiplexed (functional) assays for variant effects (MAVEs). MAVEs provide detailed insight into sequence-function relationships, and they may prove critical for the prospective clinical interpretation of genetic variants.

  12. The Analysis of Nida’s Functional Equivalence Theory

    Institute of Scientific and Technical Information of China (English)

    杨雪; 任培红


    Eugene A. Nida is an influential translation theoretician with great research achievements. The functional equivalence theory which is the core of his translation theories lays a solid foundation for the modern translation. However, there also exist some limitations in it. It should be dialectically analyzed to find its contributions and limitations.

  13. Achieving Standardization

    DEFF Research Database (Denmark)

    Henningsson, Stefan


    competitive, national customs and regional economic organizations are seeking to establish a standardized solution for digital reporting of customs data. However, standardization has proven hard to achieve in the socio-technical e-Customs solution. In this chapter, the authors identify and describe what has...

  14. Achieving Standardization

    DEFF Research Database (Denmark)

    Henningsson, Stefan


    competitive, national customs and regional economic organizations are seeking to establish a standardized solution for digital reporting of customs data. However, standardization has proven hard to achieve in the socio-technical e-Customs solution. In this chapter, the authors identify and describe what has...

  15. Achieving diagnosis by consensus

    LENUS (Irish Health Repository)

    Kane, Bridget


    This paper provides an analysis of the collaborative work conducted at a multidisciplinary medical team meeting, where a patient’s definitive diagnosis is agreed, by consensus. The features that distinguish this process of diagnostic work by consensus are examined in depth. The current use of technology to support this collaborative activity is described, and experienced deficiencies are identified. Emphasis is placed on the visual and perceptual difficulty for individual specialities in making interpretations, and on how, through collaboration in discussion, definitive diagnosis is actually achieved. The challenge for providing adequate support for the multidisciplinary team at their meeting is outlined, given the multifaceted nature of the setting, i.e. patient management, educational, organizational and social functions, that need to be satisfied.

  16. Functional Foods Baseline and Requirements Analysis (United States)

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


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

  17. Truncated Moment Analysis of Nucleon Structure Functions

    Energy Technology Data Exchange (ETDEWEB)

    A. Psaker; W. Melnitchouk; M. E. Christy; C. E. Keppel


    We employ a novel new approach using "truncated" moments, or integrals of structure functions over restricted regions of x, to study local quark-hadron duality, and the degree to which individual resonance regions are dominated by leading twists. Because truncated moments obey the same Q^2 evolution equations as the leading twist parton distributions, this approach makes possible for the first time a description of resonance region data and the phenomenon of quark-hadron duality directly from QCD.

  18. Functional analysis of the Fusarium graminearum phosphatome. (United States)

    Yun, Yingzi; Liu, Zunyong; Yin, Yanni; Jiang, Jinhua; Chen, Yun; Xu, Jin-Rong; Ma, Zhonghua


    Phosphatases are known to play important roles in the regulation of various cellular processes in eukaryotes. However, systematic characterization of the phosphatome has not been reported in phytopathogenic fungi. The wheat scab fungus Fusarium graminearum contains 82 putative phosphatases. The biological functions of each phosphatase were investigated in this study. Although 11 phosphatase genes appeared to be essential, deletion mutants of the other 71 phosphatase genes were obtained and characterized for changes in 15 phenotypes, including vegetative growth, nutrient response and virulence. Overall, the deletion of 63 phosphatase genes resulted in changes in at least one of the phenotypes assayed. Interestingly, the deletion of four genes (Fg06297, Fg03333, Fg03826 and Fg07932) did not dramatically affect hyphal growth, but led to strongly reduced virulence. Western blot analyses showed that three phosphatases (Fg10516, Fg03333 and Fg12867) functioned as negative regulators of the mitogen-activated protein kinase signaling pathways. In addition, we found, for the first time, that FgCdc14 is dispensable for growth, but plays an important role in ribosome biogenesis. Overall, in this first functional characterization of the fungal phosphatome, phosphatases important for various aspects of hyphal growth, development, plant infection and secondary metabolism were identified in the phytopathogenic fungus F. graminearum.

  19. A Meta-Analytic Path Analysis of the Internal/External Frame of Reference Model of Academic Achievement and Academic Self-Concept (United States)

    Moller, Jens; Pohlmann, Britta; Koller, Olaf; Marsh, Herb W.


    A meta-analysis of 69 data sets ( N = 125,308) was carried out on studies that simultaneously evaluate the effects of math and verbal achievements on math and verbal self-concepts. As predicted by the internal/external frame of reference (I/E) model, math and verbal achievements were highly correlated overall (0.67), but the correlation between…

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

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


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


    Institute of Scientific and Technical Information of China (English)

    Min Han; Dirong Chen; Zhaoxu Sun


    Neyman-Pearson classification has been studied in several articles before.But they all proceeded in the classes of indicator functions with indicator function as the loss function,which make the calculation to be difficult.This paper investigates NeymanPearson classification with convex loss function in the arbitrary class of real measurable functions.A general condition is given under which Neyman-Pearson classification with convex loss function has the same classifier as that with indicator loss function.We give analysis to NP-ERM with convex loss function and prove it's performance guarantees.An example of complexity penalty pair about convex loss function risk in terms of Rademacher averages is studied,which produces a tight PAC bound of the NP-ERM with convex loss function.

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

    Energy Technology Data Exchange (ETDEWEB)

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


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

  3. Density functional and neural network analysis

    DEFF Research Database (Denmark)

    Jalkanen, K. J.; Bohr, Henrik


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

  4. Analysis of the Bogoliubov free energy functional

    DEFF Research Database (Denmark)

    Reuvers, Robin

    In this thesis, we analyse a variational reformulation of the Bogoliubov approximation that is used to describe weakly-interacting translationally-invariant Bose gases. For the resulting model, the `Bogoliubov free energy functional', we demonstrate existence of minimizers as well as the presence...... of a phase transition to Bose{Einstein condensation, and establish the phase diagram. We also give a calculation of the critical temperature assuming the gas is dilute, and nd that it agrees with earlier numerical studies. The thesis contains an introduction, a physical review paper outlining the main...

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

    Institute of Scientific and Technical Information of China (English)

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


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

  6. Noninvasive analysis of human neck muscle function (United States)

    Conley, M. S.; Meyer, R. A.; Bloomberg, J. J.; Feeback, D. L.; Dudley, G. A.


    STUDY DESIGN. Muscle use evoked by exercise was determined by quantifying shifts in signal relaxation times of T2-weighted magnetic resonance images. Images were collected at rest and after exercise at each of two intensities (moderate and intense) for each of four head movements: 1) extension, 2) flexion, 3) rotation, and 4) lateral flexion. OBJECTIVE. This study examined the intensity and pattern of neck muscle use evoked by various movements of the head. The results will help elucidate the pathophysiology, and thus methods for treating disorders of the cervical musculoskeletal system. SUMMARY OF BACKGROUND DATA. Exercise-induced contrast shifts in T2 has been shown to indicate muscle use during the activity. The noninvasive nature of magnetic resonance imaging appears to make it an ideal approach for studying the function of the complex neuromuscular system of the neck. METHODS. The extent of T2 increase was examined to gauge how intensely nine different neck muscles or muscle pairs were used in seven subjects. The absolute and relative cross-sectional area of muscle showing a shift in signal relaxation was assessed to infer the pattern of use among and within individual neck muscles or muscle pairs. RESULTS. Signal relaxation increased with exercise intensity for each head movement. The absolute and relative cross-sectional area of muscle showing a shift in signal relaxation also increased with exercise load. Neck muscles or muscle pairs extensively used to perform each head movement were: extension--semispinalis capitis and cervicis and splenius capitis; flexion--sternocleidomastoid and longus capitis and colli; rotation--splenius capitis, levator scapulae, scalenus, semispinalis capitis ipsilateral to the rotation, and sternocleidomastoid contralateral; and lateral flexion--sternocleidomastoid CONCLUSION. The results of this study, in part, agree with the purported functions of neck muscles derived from anatomic location. This also was true for the few

  7. Model-free functional MRI analysis for detecting low-frequency functional connectivity in the human brain (United States)

    Wismueller, Axel; Lange, Oliver; Auer, Dorothee; Leinsinger, Gerda


    Slowly varying temporally correlated activity fluctuations between functionally related brain areas have been identified by functional magnetic resonance imaging (fMRI) research in recent years. These low-frequency oscillations of less than 0.08 Hz appear to play a major role in various dynamic functional brain networks, such as the so-called 'default mode' network. They also have been observed as a property of symmetric cortices, and they are known to be present in the motor cortex among others. These low-frequency data are difficult to detect and quantify in fMRI. Traditionally, user-based regions of interests (ROI) or 'seed clusters' have been the primary analysis method. In this paper, we propose unsupervised clustering algorithms based on various distance measures to detect functional connectivity in resting state fMRI. The achieved results are evaluated quantitatively for different distance measures. The Euclidian metric implemented by standard unsupervised clustering approaches is compared with a non-metric topographic mapping of proximities based on the the mutual prediction error between pixel-specific signal dynamics time-series. It is shown that functional connectivity in the motor cortex of the human brain can be detected based on such model-free analysis methods for resting state fMRI.

  8. Static Analysis of Functionally Graded Composite Beams (United States)

    Das, S.; Sarangi, S. K.


    This paper presents a study of functionally graded (FG) composite beam. The FG material for the beam is considered to be composed of different layers of homogeneous material. The fiber volume fraction corresponding to each layer is calculated by considering its variation along the thickness direction (z) according to a power law. Accordingly, the effective properties of the homogeneous layers are estimated and a beam composed of this FG material is modelled using the commercially available ANSYS software. The solid 186 layered structural solid element has been used for discretization of the model of the FG beam. The model developed is validated by comparing the results with those numerical results available in literature. Results are presented for simply supported and fixed boundary conditions for the FG beam. The stress distribution across the thickness of the FG composite beam has also been analyzed.

  9. Function analysis for waste information systems

    Energy Technology Data Exchange (ETDEWEB)

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


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

  10. Advances and Achievements in In Situ Analysis of Corrosion and Structure–Property Relationship in Mg Alloys

    Energy Technology Data Exchange (ETDEWEB)

    Orlov, D.; Joshi, V.


    Every year, TMS Magnesium Committee carefully selects a special topic in magnesium (Mg) related research and development not only having the hottest subject from both academic and industrial perspectives but also demonstrating major achievements within this subject. Following last year’s topic on Mg microallying [1], this year’s focus is on in-situ methods and associated techniques in their broad definition spanning from laboratory- to large- scale facilities to process monitoring. The applications of in-situ techniques have a wide spectrum from the analysis of melts and liquid-solid transitions to solid-state phenomena during thermo-mechanical processing and heat treatments to surface interactions with various environments. Therefore, such works are of significant interest to scientists working in the area of Mg alloy development as well as to a much broader audience from both academia and industry. This interest is primarily caused by challenges in the analysis of structure-property relationship in Mg alloys, and even cursory glance of literature reveals sharp increase of publications relevant to this topic recently. For instance, very high reactivity of Mg as well as its well-known propensity to substantially alter structure upon unloading in mechanical testing makes it difficult to understand and thus to simulate correlation between microstructures observed in post-mortem analysis and physical processes during testing or fabrication. However, recent advances in in-situ analysis based on large-scale research facilities such as neutron scattering and synchrotron radiation sources as well as microscopy-based, acoustic emission, and other more traditional techniques allowed significant achievements. Apart from apparent development of relevant experimental techniques, a significant part of this success should also be attributed to increasing accessibility of the facilities and simplification of their use from a user perspective. The selection of articles in this

  11. Cognitive Processes and Achievement. (United States)

    Hunt, Dennis; Randhawa, Bikkar S.

    For a group of 165 fourth- and fifth-grade students, four achievement test scores were correlated with success on nine tests designed to measure three cognitive functions: sustained attention, successive processing, and simultaneous processing. This experiment was designed in accordance with Luria's model of the three functional units of the…

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

    Directory of Open Access Journals (Sweden)

    Ross Andrew Clarke


    Full Text Available While the concept of sustainable development gains increasing traction under international law, effective and scalable policies to translate these principles into practice remain largely beyond reach. This article analyses one possible strategy in Sub-Saharan Africa - increasing security of communal tenure to improve resource management and achieve rural sustainable development. Although this approach has attracted some attention, particularly with management responsibility of communal property increasingly devolved to the community-level, the expected results in terms of more sustainable resource exploitation and sounder environmental management have yet to be realised. Through critical analysis, with particular emphasis on the Gestion Terroir approach in Burkina Faso , the article explores the reasons behind the limited success. The article suggests that greater emphasis must be placed on bridging statutory command-and-control regimes with community-based models. Focusing on the links between communal land tenure and environmental management, and effectively embedding community land management institutions within existing environmental governance structures offers a practical model to promote sustainable development.

  13. Alternative Analysis of Classifications of Universal Managerial Functions

    Directory of Open Access Journals (Sweden)

    Chornii Heorhii M.


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

  14. An Analysis of Taiwanese Eighth Graders' Science Achievement, Scientific Epistemological Beliefs and Cognitive Structure Outcomes After Learning Basic Atomic Theory. (United States)

    Tsai, Chin-Chung


    Explores the interrelationships between students' general science achievement, scientific epistemological beliefs, and cognitive structure outcomes derived from instruction of basic atomic theory. Contains 19 references. (DDR)

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

    DEFF Research Database (Denmark)

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


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

  16. Emerging Themes in the Functional Analysis of Problem Behavior. (United States)

    Carr, Edward G.


    The successful application of functional analysis to problem behavior suggests the need to examine: additional functional properties of behavior involving social avoidance, biological reinforcement, and respondent conditioning; the role of context (including social factors and biological factors); and the multidimensional character of assessment…

  17. An introduction with medical applications to functional data analysis

    DEFF Research Database (Denmark)

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


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

  18. Mobile multimedia antenna systems for station wagons and the achievable diversity effectiveness obtained by analysis of virtual test drives (United States)

    Hopf, J. F.; Lindenmeier, H. K.; Reiter, L. M.


    For modern cars, antennas are required for AM reception, FM and TV diversity reception, weatherband reception (USA), terrestrial digital radio, remote control functions, keyless entry, mobile phone for all worldwide used systems, GPS, and in the future, satellite broadcast radio services. Those services cover the frequency range from 150 kHz up to 2.4 GHz. Such kind of a multiantenna system developed for station wagons is presented in this paper. The obtainable FM and TV diversity effectiveness is discussed for several types of antenna arrangements in detail. This value is the number of fictitious completely decorrelated antenna signals and is obtained by virtual test drives. The characteristic of the respective antennas under test is introduced in the software as antenna pattern, measured or calculated with respect to amplitude and phase. During the computer analysis the car with the antennas is driven virtually through a Rayleigh field scenario with desired and undesired signals.


    Directory of Open Access Journals (Sweden)

    DRUG (LUCA Alexandra


    Full Text Available The reason this paper was made was to identify the functions with the highest importance factor of webbing used in auto seatbelts. For these functions to satisfy all the requirements of operating, functions resulted from analyzing the properties of the webbing. Depending on the importance of each function was developed an objective hierarchy of them, pursuing the imposed decisions technic. Using the Analysis and engineering value it was possible to do the functional analysis of the properties of webbing. By setting the functions value it was possible to obtain a series of decisions, specifying that a function corresponds to a single operating property. Following this analysis it was observed that the main characteristic of webbings is that they have a very good resistance to tensile stresses, characteristic imposed by the manner of operation during use. An important factor that was taken into account in analyzing the webbings was the fabric structure. The structure has a major impact on the function and use of webbings in the belt assembly, considering the fact that their primary role is to save the life of the user, in case of impact of a vehicle. Based on this study the following research is focused on the functional properties of the seatbelt, in order to design and manufacture seatbelts with appropriate exploitation properties.

  20. Use of Analog Functional Analysis in Assessing the Function of Mealtime Behavior Problems. (United States)

    Girolami, Peter A.; Scotti, Joseph R.


    This study applied the methodology of an analog experimental (functional) analysis of behavior to the specific interaction between parents and three children with mental retardation exhibiting food refusal and related mealtime problems. Analog results were highly consistent with other forms of functional assessment data, including interviews,…

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

    Indian Academy of Sciences (India)

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


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

  2. A Temporal Extension to Traditional Empirical Orthogonal Function Analysis

    DEFF Research Database (Denmark)

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


    This paper describes the application of temporal maximum autocorrelation factor analysis to global monthly mean values of 1996-1997 sea surface temperature (SST) and sea surface height (SSH) data. This type of analysis can be considered as an extension of traditional empirical orthogonal function...

  3. An Analysis of the Impact of Demographic, Structural, Student, and Financial Factors on Texas High School Mathematics Achievement (United States)

    Carter, Alisa


    The purpose of this study was to examine the relationships of demographic (indicators describing student characteristics), structural (indicators describing school characteristics), student (indicators of student academic achievement), and financial (indicators of instructional expenditures) factors to student mathematics achievement. A sample (n…

  4. Parental Characteristics and the Achievement Gap in Mathematics: Hierarchical Linear Modeling Analysis of Longitudinal Study of American Youth (LSAY) (United States)

    Shoraka, Mohammad; Arnold, Robert; Kim, Eun Sook; Salinitri, Geri; Kromrey, Jeffrey


    One of the most salient problems in education is the achievement gap. The researchers investigated the effects of parental education and parental occupations in science, technology, engineering, mathematics, or medical professions (STEMM) on the achievement gap in mathematics. Because students were nested within schools, two-level Hierarchical…

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

    Center for Research and Reform in Education, 2012


    This review summarizes research on the effects of technology use on mathematics achievement in K-12 classrooms. The main research questions included: (1) Do education technology applications improve mathematics achievement in K-12 classrooms as compared to traditional teaching methods without education technology?; and (2) What study and research…

  6. Complex analysis a modern first course in function theory

    CERN Document Server

    Muir, Jerry R


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

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

    Directory of Open Access Journals (Sweden)

    Ana eMiranda


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

  8. Advanced functionality for radio analysis in the Offline software framework of the Pierre Auger Observatory (United States)

    Abreu, P.; Aglietta, M.; Ahn, E. J.; Albuquerque, I. F. M.; Allard, D.; Allekotte, I.; Allen, J.; Allison, P.; Alvarez Castillo, J.; 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.; de Mello Junior, W. J. M.; de Mello Neto, J. R. T.; 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.; Díaz Castro, M. L.; Diep, P. N.; Dobrigkeit, C.; D'Olivo, J. C.; Dong, P. N.; Dorofeev, A.; Dos Anjos, J. C.; Dova, M. T.; D'Urso, D.; Dutan, I.; Ebr, J.; Engel, R.; Erdmann, M.; Escobar, C. O.; Etchegoyen, A.; Facal San Luis, P.; 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.; García Gámez, D.; Garcia-Pinto, D.; Gascon, A.; Gemmeke, H.; Gesterling, K.; Ghia, P. L.; Giaccari, U.; Giller, M.; Glass, H.; Gold, M. S.; Golup, G.; Gomez Albarracin, F.; Gómez Berisso, M.; 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.; Leigui de Oliveira, M. A.; Lemiere, A.; Letessier-Selvon, A.; Lhenry-Yvon, I.; Link, K.; López, R.; Lopez Agüera, A.; Louedec, K.; Lozano Bahilo, J.; Lucero, A.; Ludwig, M.; Lyberis, H.; Macolino, C.; Maldera, S.; Mandat, D.; Mantsch, P.; Mariazzi, A. G.; Marin, V.; Maris, I. C.; Marquez Falcon, H. R.; Marsella, G.; Martello, D.; Martin, L.; Martínez Bravo, O.; 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.; Mićanović, S.; Micheletti, M. I.; Miller, W.; Miramonti, L.; Mollerach, S.; Monasor, M.; Monnier Ragaigne, D.; 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.; Pakk Selmi-Dei, D.; Palatka, M.; Pallotta, J.; Palmieri, N.; Parente, G.; Parizot, E.; Parra, A.; Parrisius, J.; Parsons, R. D.; Pastor, S.; Paul, T.; Pech, M.; PeĶala, 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.; Riviére, C.; Rizi, V.; Robledo, C.; Rodrigues de Carvalho, W.; Rodriguez, G.; Rodriguez Martino, J.; Rodriguez Rojo, J.; 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.; Todero Peixoto, C. J.; Tomé, B.; Tonachini, A.; Travnicek, P.; Tridapalli, D. B.; Tristram, G.; Trovato, E.; Tueros, M.; Ulrich, R.; Unger, M.; Urban, M.; Valdés Galicia, J. F.; Valiño, I.; Valore, L.; van den Berg, A. M.; Vargas Cárdenas, B.; 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.


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

  9. Linear functional analysis an application-oriented introduction

    CERN Document Server

    Alt, Hans Wilhelm


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

  10. Functional analysis in the evaluation of four concepts of planters

    Directory of Open Access Journals (Sweden)

    Reis Ângelo Vieira dos


    Full Text Available The essential functions of a planter are to open the planting furrow, meter the seeds, deposit them in the furrow, cover them and compact the soil around them. The planter precision is affected, in some way, by each of those functions. Function analysis is a tool used in the conceptual phase of product design which allows an abstract formulation for the function of the technical system, thus making it very useful in product design and in the analysis of existing products. Therefore, the technique of function analysis makes it possible to identify, in the various concepts of planters sold in the Brazilian market, which function is not well implemented when considering precision planting of small grains, being this the main objective of this study. This study has made it possible to conclude, among other things, that in all concepts of planters analyzed, the sub-functions of metering seeds and that of depositing seeds in the soil were not satisfactorily implemented for the precision planting of small grains. This points out the need of searching for other concepts of planters or the adoption of different solution principles for these functions.

  11. Applying Cognitive Work Analysis to Time Critical Targeting Functionality (United States)


    Target List/Dynamic Target Queue (DTL/ DTQ ) in the same place. Figure 4-27 shows the task steps involved in achieving Goal 7. 4- 30 Figure 4-27...GUI WG to brainstorm the order of columns in the DTL/ DTQ Table, a critical component of the TCTF CUI, with successful results, which were...Cognitive Work Analysis DTD Display Task Description DTL/ DTQ Dynamic Target List/Dynamic Target Queue FDO Fighter Duty Officer FEBA Forward Edge

  12. Big fish in big ponds: a multilevel analysis of test anxiety and achievement in special gifted classes. (United States)

    Goetz, Thomas; Preckel, Franzis; Zeidner, Moshe; Schleyer, Esther


    This study analyzes the effects of individual achievement and achievement level of student reference group on test anxiety in a national sample of 769 gifted Israeli students (grade levels 4-9), which was previously investigated by Zeidner and Schleyer (1999a). We hypothesized that when controlling for individual achievement, students' experiences of test anxiety should increase with the increasing ability level of their peer reference group. It was assumed that this effect was largely mediated by reference group effects on academic self-concept (big-fish-little-pond effect). Zeidner and Schleyer found that gifted students within a gifted peer reference group showed higher levels of test anxiety than gifted students within a non-gifted peer reference group. Of note, the present study focused exclusively on gifted students attending special gifted classes. The main research question was whether or not the assumed effects of individual and class achievement can be found for gifted students in special gifted classes when taking the variance of achievement level (grades) of the special gifted classes into account. Using hierarchical linear modeling (HLM) methodology, the assumed effects were vindicated for this special group of high ability students. Thus, in line with previous results, the Worry component of test anxiety was more highly reactive to the effects of individual achievement than the Emotionality component. Also, in line with our theoretical assumptions, achievement/anxiety relations were largely mediated by the effects of academic self-concept.

  13. A Functional Analysis of the Comprehensive Application of Behavior Analysis to Schooling. (United States)

    Selinske, Jane E.; And Others


    Behavior analysis was implemented in a school for 38 children with multiple disabilities, following staff training. Results over two years showed educationally significant increases in trials taught, correct student trials, and objectives achieved. During followup, results indicated maintenance and social validity of the behavior analysis package.…

  14. Transfer function analysis of ultrasonic time-intensity measurements. (United States)

    Li, Pai-Chi; Yang, Mei-Ju


    Time-intensity measurements of ultrasonic-contrast microbubbles based on the dilution theory have been used to assist blood flow estimation. The compartment model has been employed to describe the dilution process. Under the linear and time-invariant assumption, the time-intensity curve measured at the output of a compartment (i.e., blood mixing chamber) is the convolution of the input time-intensity curve with the compartment's transfer function. Thus, transfer function analysis is possible using deconvolution when the temporal variations in both the input and the output intensities are available. Note that the linear and time-invariant assumption requires a constant flow rate because, with flow pulsation, the flow rate changes with time and the mixing process becomes time varying. Thus, the purpose of this paper was to study the effects of flow pulsation on time-intensity measurements. In addition, a deconvolution technique based on a recursive least squares approach is used for transfer function analysis. Both simulations and experiments were performed; the results from which indicate that the pulsation generally does not affect the validity of time-intensity-based flow estimation. The proposed deconvolution technique is also effective for both constant and pulsatile flows; thus, permitting transfer function analysis in various flow conditions. One potential application of this transfer function analysis is to remove the effects of a noninstantaneous input function. The results from this paper lead to future work in brain-perfusion estimation based on extracranial time-intensity measurements.

  15. Intelligence, classroom behavior, and academic achievement in children at high and low risk for psychopathology: a structural equation analysis. (United States)

    Worland, J; Weeks, D G; Janes, C L; Strock, B D


    The intelligence, academic achievement, and classroom behavior of 158 children were assessed in a sample that is being followed longitudinally. The sample included children at high risk for mental disorder by virtue of having a parent with a psychiatric diagnosis of schizophrenia or affective disorder, children at moderate risk, and children at low risk. A series of path analyses indicated that in this sample (1) classroom behavior was more likely an affect that a cause of academic achievement, and (2) the influence of parental psychopathology on classroom behavior was mediated by a child's intelligence and academic achievement. We were unable to substantiate an unmediated causal link between parental psychopathology and children's academic achievement or classroom behavior.

  16. Using confirmatory factor analysis to understand executive control in preschool children: sources of variation in emergent mathematic achievement. (United States)

    Bull, Rebecca; Espy, Kimberly Andrews; Wiebe, Sandra A; Sheffield, Tiffany D; Nelson, Jennifer Mize


    Latent variable modeling methods have demonstrated utility for understanding the structure of executive control (EC) across development. These methods are utilized to better characterize the relation between EC and mathematics achievement in the preschool period, and to understand contributing sources of individual variation. Using the sample and battery of laboratory tasks described in Wiebe, Espy and Charak (2008), latent EC was related strongly to emergent mathematics achievement in preschool, and was robust after controlling for crystallized intellectual skills. The relation between crystallized skills and emergent mathematics differed between girls and boys, although the predictive association between EC and mathematics did not. Two dimensions of the child 's social environment contributed to mathematics achievement: social network support through its relation to EC and environmental stressors through its relation with crystallized skills. These findings underscore the need to examine the dimensions, mechanisms, and individual pathways that influence the development of early competence in basic cognitive processes that underpin early academic achievement.

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

    Directory of Open Access Journals (Sweden)

    Valentina eSpampinato


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

  18. Achieving consensus in robot swarms design and analysis of strategies for the best-of-n problem

    CERN Document Server

    Valentini, Gabriele


    This book focuses on the design and analysis of collective decision-making strategies for the best-of-n problem. After providing a formalization of the structure of the best-of-n problem supported by a comprehensive survey of the swarm robotics literature, it introduces the functioning of a collective decision-making strategy and identifies a set of mechanisms that are essential for a strategy to solve the best-of-n problem. The best-of-n problem is an abstraction that captures the frequent requirement of a robot swarm to choose one option from of a finite set when optimizing benefits and costs. The book leverages the identification of these mechanisms to develop a modular and model-driven methodology to design collective decision-making strategies and to analyze their performance at different level of abstractions. Lastly, the author provides a series of case studies in which the proposed methodology is used to design different strategies, using robot experiments to show how the designed strategies can b...

  19. The Stomatognathic Function Analysis of Skeletal Abnormalities and TMJ Disorders



    Recently, stomatognathic function analysis has been recognized as essential to diagnosis and treatment planning, especially in patients with dento-skeletal discrepancies and TMJ disorders. Functional malocclusion should be carefully judged in diagnosis of pre-surgical orthodontic treatment and TMJ disorders. Also, the estimation of the EMG power and jaw movement pathway changes before and after surgery are very effective in estimating the occlusal stability and expectations of post-surgical r...

  20. A Functional Analysis on the Translations Of Deng Guanquelou

    Institute of Scientific and Technical Information of China (English)

    LI Xiao-ting


    Systemic functional linguistics is correlated with the translation study for the theory can be applied to analyze and eval-uate the translations. The poem Deng Guanquelou and its translated versions can be approached and compared within the Halli-dayan framework in so far as the translation processes and details can be better comprehended and described. The applicability and operability of functional grammar can be validated by virtue of the analysis of the translations.

  1. Multidisciplinary Analysis of Cyclophilin A Function in Human Breast Cancer (United States)


    diagram of synthetic antibody production, which involves target protein immobilization, phase display library screening , and structural and functional...proteins, phase display library screening , and functional analysis of selected antigen-binding fragments (FABs) (Figure 4A). In brief, recombinant his...display library screening results in the generation of total 18 CypA- specific FABs including CsA sensitive (#1-11) and non CsA-sensitive (#12-18). A free

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

    Institute of Scientific and Technical Information of China (English)



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

  3. Functional Parallel Factor Analysis for Functions of One- and Two-dimensional Arguments. (United States)

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


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

  4. Generating function approach to reliability analysis of structural systems

    Institute of Scientific and Technical Information of China (English)


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

  5. Bending analysis of a functionally graded piezoelectric cantilever beam

    Institute of Scientific and Technical Information of China (English)

    YU Tao; ZHONG Zheng


    A new analysis based on Airy stress function method is presented for a functionally graded piezoelectric material cantilever beam.Assuming that the mechanical and electric properties of the material have the same variations along the thickness direction,a two-dimensional plane elasticity solution is obtained for the coupling electroelastic fields of the beam under different loadings.This solution will be useful in analyzing FGPM beam with arbitrary variations of material properties.The influences of the functionally graded material properties on the structural response of the beam subjected to different loads are also studied through numerical examples.

  6. Bending analysis of a functionally graded piezoelectric cantilever beam

    Institute of Scientific and Technical Information of China (English)


    A new analysis based on Airy stress function method is presented for a functionally graded piezoelectric material cantilever beam. Assuming that the mechanical and electric properties of the material have the same variations along the thickness direction, a two-dimensional plane elasticity solution is obtained for the coupling electroelastic fields of the beam under different loadings. This solution will be useful in analyzing FGPM beam with arbitrary variations of material properties. The influences of the functionally graded material properties on the structural response of the beam subjected to different loads are also studied through numerical examples.

  7. Current peptidomics: applications, purification, identification, quantification, and functional analysis. (United States)

    Dallas, David C; Guerrero, Andres; Parker, Evan A; Robinson, Randall C; Gan, Junai; German, J Bruce; Barile, Daniela; Lebrilla, Carlito B


    Peptidomics is an emerging field branching from proteomics that targets endogenously produced protein fragments. Endogenous peptides are often functional within the body-and can be both beneficial and detrimental. This review covers the use of peptidomics in understanding digestion, and identifying functional peptides and biomarkers. Various techniques for peptide and glycopeptide extraction, both at analytical and preparative scales, and available options for peptide detection with MS are discussed. Current algorithms for peptide sequence determination, and both analytical and computational techniques for quantification are compared. Techniques for statistical analysis, sequence mapping, enzyme prediction, and peptide function, and structure prediction are explored.

  8. Functional analysis of candidate ABC transporter proteins for sitosterol transport

    DEFF Research Database (Denmark)

    Albrecht, C; Elliott, J I; Sardini, A;


    implicated in lipid movement and expressed in tissues with a role in sterol synthesis and absorption, might also be involved in sitosterol transport. Transport by the multidrug resistance P-glycoprotein (P-gp; Abcb1), the multidrug resistance-associated protein (Mrp1; Abcc1), the breast cancer resistance...... the absorption of sitosterol and related molecules in the intestine by pumping them back into the lumen. Although mutations altering ABCG5 and ABCG8 are found in affected patients, no functional demonstration of sitosterol transport has been achieved. In this study, we investigated whether other ABC transporters...

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

    CERN Document Server

    Triebel, Hans


    Fractals and Spectra Hans Triebel This book deals with the symbiotic relationship between the theory of function spaces, fractal geometry, and spectral theory of (fractal) pseudodifferential operators as it has emerged quite recently. Atomic and quarkonial (subatomic) decompositions in scalar and vector valued function spaces on the euclidean n-space pave the way to study properties (compact embeddings, entropy numbers) of function spaces on and of fractals. On this basis, distributions of eigenvalues of fractal (pseudo)differential operators are investigated. Diverse versions of fractal drums are played. The book is directed to mathematicians interested in functional analysis, the theory of function spaces, fractal geometry, partial and pseudodifferential operators, and, in particular, in how these domains are interrelated. ------ It is worth mentioning that there is virtually no literature on this topic and hence the most of the presented material is published here the first time. - Zentralblatt MATH (…) ...

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

    CERN Document Server

    Dzaferagic, Merim; Macaluso, Irene; Marchetti, Nicola


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

  11. Four Layered Approach to Non-Functional Requirements Analysis

    CERN Document Server

    Rao, A Ananda


    Identification of non-functional requirements is important for successful development and deployment of the software product. The acceptance of the software product by the customer depends on the non-functional requirements which are incorporated in the software. For this, we need to identify all the non-functional requirements required by all stakeholders. In the literature not many approaches are available for this purpose. Hence, we have proposed a four layered analysis approach for identification of non-functional requirements. The proposed layered approach has many advantages over non-layered approach. As part of this approach some rules are also proposed to be used in each layer. The approach is applied successfully on two case studies. The identified non-functional requirements are validated using a check list and in addition the completeness of the identified non-requirements is computed using a metric.

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

    Directory of Open Access Journals (Sweden)

    Amy Reitz


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

  13. An Analysis of the Relationship between Principal Employment Interview Scores and the Achievement Scores of Students with Specific Learning Disabilities (United States)

    Ostmeyer, Susan S.


    The primary purpose of this study was to examine the relationship between five of ISSLC's 2008 leadership standards as measured by a standardized employment interview (ICIS Principal) and the achievement of students with specific learning disabilities in core areas of instruction. Findings did not support the rejection of the null hypothesis.…

  14. The Relation between Self-Regulated Learning and Academic Achievement across Childhood and Adolescence: A Meta-Analysis (United States)

    Dent, Amy L.; Koenka, Alison C.


    This research synthesis explores how academic achievement relates to two main components of self-regulated learning for students in elementary and secondary school. Two meta-analyses integrated previous findings on (1) the defining metacognitive processes of self-regulated learning and (2) students' use of cognitive strategies. Overall…

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

    LENUS (Irish Health Repository)

    Bermingham, Margaret


    Improvements in the control of LDL-C levels have occurred in the past decade due to the introduction of increasingly potent statins, such as atorvastatin and rosuvastatin. Many patients, however, do not achieve their LDL-C goals, which presents a practical dilemma for clinicians and highlights the need to identify adherence problems in a clinically relevant manner.

  16. Science Learning: A Path Analysis of Its Links with Reading Comprehension, Question-Asking in Class and Science Achievement (United States)

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


    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…

  17. Behavioral Engagement and Reading Achievement in Elementary-School-Age Children: A Longitudinal Cross-Lagged Analysis (United States)

    Guo, Ying; Sun, Shuyan; Breit-Smith, Allison; Morrison, Frederick J.; Connor, Carol McDonald


    Using data from the National Institute of Child Health and Human Development's Study of Early Child Care and Youth Development, this study examined the cross-lagged relations between behavioral engagement and reading achievement in elementary school and whether these cross-lagged relations differed between low-socioeconomic status (SES) and mid-…

  18. An Analysis of Certain Interpersonal Aspects of the Home and School in Low Socioeconomic Areas Relating to Student Achievement. (United States)

    Sommerville, Joseph C.

    This article summarizes an investigation of factors manifested by 6th grade students in four Detroit metropolitan area schools who achieved on the Iowa Test of Basic Skills at levels significantly above and below the average. The study sample consisted of 80 students with scores divided equally above and below the average. Instruments measured…

  19. Using Confirmatory Factor Analysis to Understand Executive Control in Preschool Children: Sources of Variation in Emergent Mathematic Achievement (United States)

    Bull, Rebecca; Espy, Kimberly Andrews; Wiebe, Sandra A.; Sheffield, Tiffany D.; Nelson, Jennifer Mize


    Latent variable modeling methods have demonstrated utility for understanding the structure of executive control (EC) across development. These methods are utilized to better characterize the relation between EC and mathematics achievement in the preschool period, and to understand contributing sources of individual variation. Using the sample and…

  20. A Multilevel Analysis of the Role of School Quality and Family Background on Students' Mathematics Achievement in the Middle East (United States)

    Kareshki, Hossein; Hajinezhad, Zahra


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

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

    Brathwaite, Debra Ann


    Single-sex education is a reform initiative that is taking root in the United States and in many countries around the world as a possible solution to closing the racial, achievement, and gender gaps that have emerged where minority students lag behind their White counterparts and boys are falling behind girls academically. Although there have been…

  2. Competence in Mathematics and Academic Achievement: An Analysis of Enrollees in the Bachelor of Science in Actuarial Science Program (United States)

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


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

  3. Cultural Transition and Academic Achievement of Students from Ethnic Minority Backgrounds: A Content Analysis of Empirical Research on Acculturation (United States)

    Makarova, Elena; Birman, Dina


    Background: The achievement gap between immigrant and non-immigrant students that has been identified in most OECD countries and the considerable educational dropout rate among students from ethnic minority backgrounds in some countries have become serious challenges for national educational systems. The educational underachievement of young…

  4. The Effectiveness of Educational Technology Applications for Enhancing Mathematics Achievement in K-12 Classrooms: A Meta-Analysis (United States)

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


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

  5. The Effect of Prior Experience with Computers, Statistical Self-Efficacy, and Computer Anxiety on Students' Achievement in an Introductory Statistics Course: A Partial Least Squares Path Analysis (United States)

    Abd-El-Fattah, Sabry M.


    A Partial Least Squares Path Analysis technique was used to test the effect of students' prior experience with computers, statistical self-efficacy, and computer anxiety on their achievement in an introductory statistics course. Computer Anxiety Rating Scale and Current Statistics Self-Efficacy Scale were administered to a sample of 64 first-year…

  6. Lexical, Functional Grammar Analysis of Korean Complex Predicates. (United States)

    Kim, Hee-Seob

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

  7. Functional MRI experiments : acquisition, analysis and interpretation of data

    NARCIS (Netherlands)

    Ramsey, NF; Hoogduin, H; Jansma, JM


    Functional MRI is widely used to address basic and clinical neuroscience questions. In the key domains of fMRI experiments, i.e. acquisition, processing and analysis, and interpretation of data, developments are ongoing. The main issues are sensitivity for changes in fMRI signal that are associated


    Institute of Scientific and Technical Information of China (English)

    Néji Bettaibi; Kamel Mezlini; Moufida El Guénichi


    In this paper,a new formulation of the Rubin's q-translation is given,which leads to a reliable q-harmonic analysis.Next,related q-positive definite functions are introduced and studied,and a Bochner's theorem is proved.

  9. Functional Analysis and Treatment of Noncompliance by Preschool Children


    Wilder, David A; Harris, Carelle; Reagan, Renee; Rasey, Amy


    A functional analysis showed that noncompliance occurred most often for 2 preschoolers when it resulted in termination of a preferred activity, suggesting that noncompliance was maintained by positive reinforcement. A differential reinforcement procedure, which involved contingent access to coupons that could be exchanged for uninterrupted access to the activity maintaining noncompliance, was successful in increasing compliance for both children.

  10. Functional Analysis and Treatment of Noncompliance by Preschool Children (United States)

    Wilder, David A.; Harris, Carelle; Reagan, Renee; Rasey, Amy


    A functional analysis showed that noncompliance occurred most often for 2 preschoolers when it resulted in termination of a preferred activity, suggesting that noncompliance was maintained by positive reinforcement. A differential reinforcement procedure, which involved contingent access to coupons that could be exchanged for uninterrupted access…

  11. The Maslov index in weak symplectic functional analysis

    CERN Document Server

    Booss-Bavnbek, Bernhelm


    We recall the Chernoff-Marsden definition of weak symplectic structure and give a rigorous treatment of the functional analysis and geometry of weak symplectic Banach spaces. We define the Maslov index of a continuous path of Fredholm pairs of Lagrangian subspaces in continuously varying Banach spaces. We derive basic properties of this Maslov index and emphasize the new features appearing.

  12. Large-scale data analysis using the Wigner function (United States)

    Earnshaw, R. A.; Lei, C.; Li, J.; Mugassabi, S.; Vourdas, A.


    Large-scale data are analysed using the Wigner function. It is shown that the 'frequency variable' provides important information, which is lost with other techniques. The method is applied to 'sentiment analysis' in data from social networks and also to financial data.

  13. Pomeron-Odderon Interactions: A Functional RG Flow Analysis

    CERN Document Server

    Vacca, Gian Paolo


    In the quest for an effective field theory which could help to understand some non perturbative feature of the QCD in the Regge limit, we consider a Reggeon Field Theory (RFT) for both Pomeron and Odderon interactions and perform an analysys of the critical theory using functional renormalization group techniques, unveiling a novel symmetry structure.

  14. Nonlinear boundary value problem for biregular functions in Clifford analysis

    Institute of Scientific and Technical Information of China (English)



    The biregular function in Clifford analysis is discussed. Plemelj’s formula is obtained andnonlinear boundary value problem: is considered. Applying the methodof integral equations and Schauder fixed-point theorem, the existence of solution for the above problem is proved.

  15. Epistasis analysis for quantitative traits by functional regression model. (United States)

    Zhang, Futao; Boerwinkle, Eric; Xiong, Momiao


    The critical barrier in interaction analysis for rare variants is that most traditional statistical methods for testing interactions were originally designed for testing the interaction between common variants and are difficult to apply to rare variants because of their prohibitive computational time and poor ability. The great challenges for successful detection of interactions with next-generation sequencing (NGS) data are (1) lack of methods for interaction analysis with rare variants, (2) severe multiple testing, and (3) time-consuming computations. To meet these challenges, we shift the paradigm of interaction analysis between two loci to interaction analysis between two sets of loci or genomic regions and collectively test interactions between all possible pairs of SNPs within two genomic regions. In other words, we take a genome region as a basic unit of interaction analysis and use high-dimensional data reduction and functional data analysis techniques to develop a novel functional regression model to collectively test interactions between all possible pairs of single nucleotide polymorphisms (SNPs) within two genome regions. By intensive simulations, we demonstrate that the functional regression models for interaction analysis of the quantitative trait have the correct type 1 error rates and a much better ability to detect interactions than the current pairwise interaction analysis. The proposed method was applied to exome sequence data from the NHLBI's Exome Sequencing Project (ESP) and CHARGE-S study. We discovered 27 pairs of genes showing significant interactions after applying the Bonferroni correction (P-values < 4.58 × 10(-10)) in the ESP, and 11 were replicated in the CHARGE-S study.

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


    Ross Andrew Clarke


    While the concept of sustainable development gains increasing traction under international law, effective and scalable policies to translate these principles into practice remain largely beyond reach. This article analyses one possible strategy in Sub-Saharan Africa - increasing security of communal tenure to improve resource management and achieve rural sustainable development. Although this approach has attracted some attention, particularly with management responsibility of communal proper...

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

    CERN Document Server

    Krinik, Alan C


    This extraordinary compilation is an expansion of the recent American Mathematical Society Special Session celebrating M. M. Rao's distinguished career and includes most of the presented papers as well as ancillary contributions from session invitees. This book shows the effectiveness of abstract analysis for solving fundamental problems of stochastic theory, specifically the use of functional analytic methods for elucidating stochastic processes, as made manifest in M. M. Rao's prolific research achievements. Featuring a biography of M. M. Rao, a complete bibliography of his published works,

  18. Functional analysis of Bombyx Wnt1 during embryogenesis using the CRISPR/Cas9 system. (United States)

    Zhang, Zhongjie; Aslam, Abu F M; Liu, Xiaojing; Li, Muwang; Huang, Yongping; Tan, Anjiang


    Recently established, custom-designed nuclease technologies such as the clustered regularly interspaced short palindromic repeat (CRISPR)-associated system provide attractive genome editing tools. Targeted gene mutagenesis using the CRISPR/Cas9 system has been achieved in several orders of insects. However, outside of studies on Drosophila melanogaster and the lepidopteron model insect Bombyx mori, little success has been reported, which is largely due to a lack of effective genetic manipulation tools that can be used in other insect orders. To create a simple and effective method of gene knockout analysis, especially for dissecting gene functioning during insect embryogenesis, we performed a functional analysis of the Bombyx Wnt1 (BmWnt1) gene using Cas9/sgRNA-mediated gene mutagenesis. The Wnt1 gene is required for embryonic patterning in various organisms, and its crucial roles during embryogenesis have been demonstrated in several insect orders. Direct injection of Cas9 mRNA and BmWnt1-specific sgRNA into Bombyx embryos induced a typical Wnt-deficient phenotype: injected embryos could not hatch and exhibited severe defects in body segmentation and pigmentation in a dose-dependent manner. Quantitative real-time PCR (qRT-PCR) analysis revealed that Hox genes were down-regulated after BmWnt1 depletion. Furthermore, large deletion, up to 18Kb, ware generated. The current study demonstrates that using the CRISPR/Cas9 system is a promising approach to achieve targeted gene mutagenesis during insect embryogenesis.

  19. Lectures on functional analysis and the Lebesgue integral

    CERN Document Server

    Komornik, Vilmos


    This textbook, based on three series of lectures held by the author at the University of Strasbourg, presents functional analysis in a non-traditional way by generalizing elementary theorems of plane geometry to spaces of arbitrary dimension. This approach leads naturally to the basic notions and theorems. Most results are illustrated by the small ℓp spaces. The Lebesgue integral, meanwhile, is treated via the direct approach of Frigyes Riesz, whose constructive definition of measurable functions leads to optimal, clear-cut versions of the classical theorems of Fubini-Tonelli and Radon-Nikodým. Lectures on Functional Analysis and the Lebesgue Integral presents the most important topics for students, with short, elegant proofs. The exposition style follows the Hungarian mathematical tradition of Paul Erdős and others. The order of the first two parts, functional analysis and the Lebesgue integral, may be reversed. In the third and final part they are combined to study various spaces of continuous and integ...

  20. A Semi-Automated Functional Test Data Analysis Tool

    Energy Technology Data Exchange (ETDEWEB)

    Xu, Peng; Haves, Philip; Kim, Moosung


    The growing interest in commissioning is creating a demand that will increasingly be met by mechanical contractors and less experienced commissioning agents. They will need tools to help them perform commissioning effectively and efficiently. The widespread availability of standardized procedures, accessible in the field, will allow commissioning to be specified with greater certainty as to what will be delivered, enhancing the acceptance and credibility of commissioning. In response, a functional test data analysis tool is being developed to analyze the data collected during functional tests for air-handling units. The functional test data analysis tool is designed to analyze test data, assess performance of the unit under test and identify the likely causes of the failure. The tool has a convenient user interface to facilitate manual entry of measurements made during a test. A graphical display shows the measured performance versus the expected performance, highlighting significant differences that indicate the unit is not able to pass the test. The tool is described as semiautomated because the measured data need to be entered manually, instead of being passed from the building control system automatically. However, the data analysis and visualization are fully automated. The tool is designed to be used by commissioning providers conducting functional tests as part of either new building commissioning or retro-commissioning, as well as building owners and operators interested in conducting routine tests periodically to check the performance of their HVAC systems.

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

    Directory of Open Access Journals (Sweden)

    Sheng Zhang


    Full Text Available Cocaine dependence is associated with deficits in cognitive control. Previous studies demonstrated that chronic cocaine use affects the activity and functional connectivity of the thalamus, a subcortical structure critical for cognitive functioning. However, the thalamus contains nuclei heterogeneous in functions, and it is not known how thalamic subregions contribute to cognitive dysfunctions in cocaine dependence. To address this issue, we used multivariate pattern analysis (MVPA to examine how functional connectivity of the thalamus distinguishes 100 cocaine-dependent participants (CD from 100 demographically matched healthy control individuals (HC. We characterized six task-related networks with independent component analysis of fMRI data of a stop signal task and employed MVPA to distinguish CD from HC on the basis of voxel-wise thalamic connectivity to the six independent components. In an unbiased model of distinct training and testing data, the analysis correctly classified 72% of subjects with leave-one-out cross-validation (p < 0.001, superior to comparison brain regions with similar voxel counts (p < 0.004, two-sample t test. Thalamic voxels that form the basis of classification aggregate in distinct subclusters, suggesting that connectivities of thalamic subnuclei distinguish CD from HC. Further, linear regressions provided suggestive evidence for a correlation of the thalamic connectivities with clinical variables and performance measures on the stop signal task. Together, these findings support thalamic circuit dysfunction in cognitive control as an important neural marker of cocaine dependence.

  2. Consolidity analysis for fully fuzzy functions, matrices, probability and statistics

    Directory of Open Access Journals (Sweden)

    Walaa Ibrahim Gabr


    Full Text Available The paper presents a comprehensive review of the know-how for developing the systems consolidity theory for modeling, analysis, optimization and design in fully fuzzy environment. The solving of systems consolidity theory included its development for handling new functions of different dimensionalities, fuzzy analytic geometry, fuzzy vector analysis, functions of fuzzy complex variables, ordinary differentiation of fuzzy functions and partial fraction of fuzzy polynomials. On the other hand, the handling of fuzzy matrices covered determinants of fuzzy matrices, the eigenvalues of fuzzy matrices, and solving least-squares fuzzy linear equations. The approach demonstrated to be also applicable in a systematic way in handling new fuzzy probabilistic and statistical problems. This included extending the conventional probabilistic and statistical analysis for handling fuzzy random data. Application also covered the consolidity of fuzzy optimization problems. Various numerical examples solved have demonstrated that the new consolidity concept is highly effective in solving in a compact form the propagation of fuzziness in linear, nonlinear, multivariable and dynamic problems with different types of complexities. Finally, it is demonstrated that the implementation of the suggested fuzzy mathematics can be easily embedded within normal mathematics through building special fuzzy functions library inside the computational Matlab Toolbox or using other similar software languages.

  3. A Content Analysis of Functional Recovery Strategies of Breast Cancer Survivors. (United States)

    Lyons, Kathleen D; Svensborn, Ingrid A; Kornblith, Alice B; Hegel, Mark T


    Seventeen breast cancer survivors completed a 6-week, telephone-delivered, behavioral activation/problem-solving intervention designed to reduce participation restrictions. A content analysis of the session data was conducted to identify the goals and patterns of goal attainment and to understand what women were trying to achieve in their recovery. The 17 women set 141 goals. Sixty-six (47%) of the goals reflected a desire to add a new activity to their routine and 75 (53%) of the goals reflected a desire to perform a routine activity more efficiently. The women primarily set goals to address challenges in exercising (24%), work (13%), nutrition (12%), instrumental activities of daily living (IADLs; 10%), stress management (9%), and social activities (9%). The women set an average of 8 goals and met 71% of their goals. The intervention shows promise in helping women set and achieve a number of functional goals as part of breast cancer recovery.

  4. Population structure analysis using rare and common functional variants

    Directory of Open Access Journals (Sweden)

    Ding Lili


    Full Text Available Abstract Next-generation sequencing technologies now make it possible to genotype and measure hundreds of thousands of rare genetic variations in individuals across the genome. Characterization of high-density genetic variation facilitates control of population genetic structure on a finer scale before large-scale genotyping in disease genetics studies. Population structure is a well-known, prevalent, and important factor in common variant genetic studies, but its relevance in rare variants is unclear. We perform an extensive population structure analysis using common and rare functional variants from the Genetic Analysis Workshop 17 mini-exome sequence. The analysis based on common functional variants required 388 principal components to account for 90% of the variation in population structure. However, an analysis based on rare variants required 532 significant principal components to account for similar levels of variation. Using rare variants, we detected fine-scale substructure beyond the population structure identified using common functional variants. Our results show that the level of population structure embedded in rare variant data is different from the level embedded in common variant data and that correcting for population structure is only as good as the level one wishes to correct.

  5. Function-Oriented Mobile Malware Analysis as First Aid

    Directory of Open Access Journals (Sweden)

    Jae-wook Jang


    Full Text Available Recently, highly well-crafted mobile malware has arisen as mobile devices manage highly valuable and sensitive information. Currently, it is impossible to detect and prevent all malware because the amount of new malware continues to increase exponentially; malware detection methods need to improve in order to respond quickly and effectively to malware. For the quick response, revealing the main purpose or functions of captured malware is important; however, only few recent works have attempted to find malware’s main purpose. Our approach is designed to help with efficient and effective incident responses or countermeasure development by analyzing the main functions of malicious behavior. In this paper, we propose a novel method for function-oriented malware analysis approach based on analysis of suspicious API call patterns. Instead of extracting API call patterns for malware in each family, we focus on extracting such patterns for certain malicious functionalities. Our proposed method dumps memory sections where an application is allocated and extracts suspicious API sequences from bytecode by comparing with predefined suspicious API lists. By matching API call patterns with our functionality database, our method determines whether they are malicious. The experiment results demonstrate that our method performs well in detecting malware with high accuracy.

  6. Mindfulness-Based Therapies in the Treatment of Functional Gastrointestinal Disorders: A Meta-Analysis

    Directory of Open Access Journals (Sweden)

    Monique Aucoin


    Full Text Available Background. Functional gastrointestinal disorders are highly prevalent and standard treatments are often unsatisfactory. Mindfulness-based therapy has shown benefit in conditions including chronic pain, mood, and somatization disorders. Objectives. To assess the quality and effectiveness reported in existing literature, we conducted a meta-analysis of mindfulness-based therapy in functional gastrointestinal disorders. Methods. Pubmed, EBSCO, and Cochrane databases were searched from inception to May 2014. Study inclusion criteria included randomized, controlled studies of adults using mindfulness-based therapy in the treatment of functional gastrointestinal disorders. Study quality was evaluated using the Cochrane risk of bias. Effect sizes were calculated and pooled to achieve a summary effect for the intervention on symptom severity and quality of life. Results. Of 119 records, eight articles, describing seven studies, met inclusion criteria. In six studies, significant improvements were achieved or maintained at the end of intervention or follow-up time points. The studies had an unclear or high risk of bias. Pooled effects were statistically significant for IBS severity (0.59, 95% CI 0.33 to 0.86 and quality of life (0.56, 95% CI 0.47 to 0.79. Conclusion. Studies suggest that mindfulness based interventions may provide benefit in functional gastrointestinal disorders; however, substantial improvements in methodological quality and reporting are needed.

  7. Method of guiding functions in problems of nonlinear analysis

    CERN Document Server

    Obukhovskii, Valeri; Van Loi, Nguyen; Kornev, Sergei


    This book offers a self-contained introduction to the theory of guiding functions methods, which can be used to study the existence of periodic solutions and their bifurcations in ordinary differential equations, differential inclusions and in control theory. It starts with the basic concepts of nonlinear and multivalued analysis, describes the classical aspects of the method of guiding functions, and then presents recent findings only available in the research literature. It describes essential applications in control theory, the theory of bifurcations, and physics, making it a valuable resource not only for “pure” mathematicians, but also for students and researchers working in applied mathematics, the engineering sciences and physics.

  8. Exploratory functional flood frequency analysis and outlier detection (United States)

    Chebana, Fateh; Dabo-Niang, Sophie; Ouarda, Taha B. M. J.


    The prevention of flood risks and the effective planning and management of water resources require river flows to be continuously measured and analyzed at a number of stations. For a given station, a hydrograph can be obtained as a graphical representation of the temporal variation of flow over a period of time. The information provided by the hydrograph is essential to determine the severity of extreme events and their frequencies. A flood hydrograph is commonly characterized by its peak, volume, and duration. Traditional hydrological frequency analysis (FA) approaches focused separately on each of these features in a univariate context. Recent multivariate approaches considered these features jointly in order to take into account their dependence structure. However, all these approaches are based on the analysis of a number of characteristics and do not make use of the full information content of the hydrograph. The objective of the present work is to propose a new framework for FA using the hydrographs as curves: functional data. In this context, the whole hydrograph is considered as one infinite-dimensional observation. This context allows us to provide more effective and efficient estimates of the risk associated with extreme events. The proposed approach contributes to addressing the problem of lack of data commonly encountered in hydrology by fully employing all the information contained in the hydrographs. A number of functional data analysis tools are introduced and adapted to flood FA with a focus on exploratory analysis as a first stage toward a complete functional flood FA. These methods, including data visualization, location and scale measures, principal component analysis, and outlier detection, are illustrated in a real-world flood analysis case study from the province of Quebec, Canada.

  9. Visualization and analysis of functional cardiac MRI data (United States)

    McVeigh, Elliot R.; Guttman, Michael A.; Poon, Eric; Pisupati, Chandrasekhar; Moore, Christopher C.; Zerhouni, Elias A.; Solaiyappan, Meiyappan; Heng, PhengAnn


    Rapid analysis of large multi-dimensional data sets is critical for the successful implementation of a comprehensive MR cardiac exam. We have developed a software package for the analysis and visualization of cardiac MR data. The program allows interactive visualization of time and space stacks of MRI data, automatic segmentation of myocardial borders and myocardial tagging patterns, and visualization of functional parameters such a motion, strain, and blood flow, mapped as colors in an interactive dynamic 3D volume rendering of the beating heart.

  10. Analysis of diagnostic calorimeter data by the transfer function technique (United States)

    Delogu, R. S.; Poggi, C.; Pimazzoni, A.; Rossi, G.; Serianni, G.


    This paper describes the analysis procedure applied to the thermal measurements on the rear side of a carbon fibre composite calorimeter with the purpose of reconstructing the energy flux due to an ion beam colliding on the front side. The method is based on the transfer function technique and allows a fast analysis by means of the fast Fourier transform algorithm. Its efficacy has been tested both on simulated and measured temperature profiles: in all cases, the energy flux features are well reproduced and beamlets are well resolved. Limits and restrictions of the method are also discussed, providing strategies to handle issues related to signal noise and digital processing.

  11. High-throughput Binary Vectors for Plant Gene Function Analysis

    Institute of Scientific and Technical Information of China (English)

    Zhi-Yong Lei; Ping Zhao; Min-Jie Cao; Rong Cui; Xi Chen; Li-Zhong Xiong; Qi-Fa Zhang; David J. Oliver; Cheng-Bin Xiang


    A series of high-throughput binary cloning vectors were constructed to facilitate gene function analysis in higher plants. This vector series consists of plasmids designed for plant expression, promoter analysis, gene silencing,and green fluorescent protein fusions for protein localization. These vectors provide for high-throughput and efficient cloning utilizing sites for λ phage integrase/excisionase. In addition, unique restriction sites are incorporated in a multiple cloning site and enable promoter replacement. The entire vector series are available with complete sequence information and detailed annotations and are freely distributed to the scientific community for non-commercial uses.

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

    Energy Technology Data Exchange (ETDEWEB)

    Delogu, R. S., E-mail:; Pimazzoni, A.; Serianni, G. [Consorzio RFX, Corso Stati Uniti, 35127 Padova (Italy); Poggi, C.; Rossi, G. [Università degli Studi di Padova, Via 8 Febbraio 1848, 35122 Padova (Italy)


    This paper describes the analysis procedure applied to the thermal measurements on the rear side of a carbon fibre composite calorimeter with the purpose of reconstructing the energy flux due to an ion beam colliding on the front side. The method is based on the transfer function technique and allows a fast analysis by means of the fast Fourier transform algorithm. Its efficacy has been tested both on simulated and measured temperature profiles: in all cases, the energy flux features are well reproduced and beamlets are well resolved. Limits and restrictions of the method are also discussed, providing strategies to handle issues related to signal noise and digital processing.

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

    Directory of Open Access Journals (Sweden)

    Faris A. Mustafa


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

  14. Linking Design to Business Strategy Through Functional Analysis

    DEFF Research Database (Denmark)

    Simonsen, Jesper


    The paper discusses how designers, conducting design projects in specific organization's, can assure that the design of IT is appropriately linked to the organizations overall business strategy. A case study is presented in the form of a design project in a small public organization. Functional...... analysis was used as a means to clarify how a specific needed information system could support the organization's new business strategy. Using functional analysis in the design project had a powerful effect: it seriously challenged the organization's business strategy and revealed that the system...... to the relation between an organization's IT-projects and its business strategy and by suggesting that it is the responsibility of the designers, conducting design projects, to assure that this task is taken proper care of. Practical guidelines for this purpose are given....

  15. Stochastic sensitivity analysis using HDMR and score function

    Indian Academy of Sciences (India)

    Rajib Chowdhury; B N Rao; A Meher Prasad


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

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

    CERN Document Server

    Shi, Tian


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

  17. Some Logical Metatheorems with Applications in Functional Analysis

    DEFF Research Database (Denmark)

    Kohlenbach, Ulrich


    In previous papers we have developed proof-theoretic techniques for extracting effective uniform bounds from large classes of ineffective existence proofs in functional analysis. Here `uniform' means independence from parameters in compact spaces. A recent case study in fixed-point theory systema...... metatheorems deal with general classes of spaces like metric spaces, hyperbolic spaces, CAT(0)-spaces, normed linear spaces, uniformly convex spaces, as well as inner product spaces......In previous papers we have developed proof-theoretic techniques for extracting effective uniform bounds from large classes of ineffective existence proofs in functional analysis. Here `uniform' means independence from parameters in compact spaces. A recent case study in fixed-point theory...

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

    Institute of Scientific and Technical Information of China (English)



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

  19. GPView: A program for wave function analysis and visualization. (United States)

    Shi, Tian; Wang, Ping


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

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

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


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

  1. Wavelet Variance Analysis of EEG Based on Window Function

    Institute of Scientific and Technical Information of China (English)

    ZHENG Yuan-zhuang; YOU Rong-yi


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

  2. A Longitudinal Intergenerational Analysis of Executive Functions During Early Childhood


    Cuevas, Kimberly; Deater-Deckard, Kirby; Kim-Spoon, Jungmeen; Wang, Zhe; Morasch, Katherine C.; Bell, Martha Ann


    Despite the importance of executive function (EF) in both clinical and educational contexts, the etiology of individual differences in early childhood EF remains poorly understood. This study provides the first longitudinal intergenerational analysis of mother-child EF associations during early childhood. A group of children and their mothers (n = 62) completed age-appropriate EF tasks. Mother and child EF were modestly correlated by 24 months of age and this association was stable through 48...

  3. Performance analysis, quality function deployment and structured methods (United States)

    Maier, M. W.

    Quality function deployment, (QFD), an approach to synthesizing several elements of system modeling and design into a single unit, is presented. Behavioral, physical, and performance modeling are usually considered as separate aspects of system design without explicit linkages. Structured methodologies have developed linkages between behavioral and physical models before, but have not considered the integration of performance models. QFD integrates performance models with traditional structured models. In this method, performance requirements such as cost, weight, and detection range are partitioned into matrices. Partitioning is done by developing a performance model, preferably quantitative, for each requirement. The parameters of the model become the engineering objectives in a QFD analysis and the models are embedded in a spreadsheet version of the traditional QFD matrices. The performance model and its parameters are used to derive part of the functional model by recognizing that a given performance model implies some structure to the functionality of the system.

  4. Heat-inducible RNAi for gene functional analysis in plants. (United States)

    Masclaux, Frédéric; Galaud, Jean-Philippe


    Controlling gene expression during plant development is an efficient method to explore gene function and RNA interference (RNAi) is now considered as a powerful technology for gene functional analysis. However, constitutive gene silencing cannot be used with genes involved in fundamental processes such as embryo viability or plant growth and alternative silencing strategies avoiding these limitations should be preferred. Tissue-specific and inducible promoters, able to control gene expression at spatial and/or temporal level, can be used to circumvent viability problems. In this chapter, after a rapid overview of the inducible promoters currently used for transgenic approaches in plants, we describe a method we have developed to study gene function by heat-inducible RNAi. This system is easy to use and complementary to those based on chemical gene inducer treatments and might be useful for both research and biotechnological applications.

  5. Semantic Analysis of Verbal Collocations with Lexical Functions

    CERN Document Server

    Gelbukh, Alexander


    This book is written for both linguists and computer scientists working in the field of artificial intelligence as well as to anyone interested in intelligent text processing. Lexical function is a concept that formalizes semantic and syntactic relations between lexical units. Collocational relation is a type of institutionalized lexical relations which holds between the base and its partner in a collocation. Knowledge of collocation is important for natural language processing because collocation comprises the restrictions on how words can be used together. The book shows how collocations can be annotated with lexical functions in a computer readable dictionary - allowing their precise semantic analysis in texts and their effective use in natural language applications including parsers, high quality machine translation, periphrasis system and computer-aided learning of lexica. The books shows how to extract collocations from corpora and annotate them with lexical functions automatically. To train algorithms,...

  6. Quantitative Analysis of the Effective Functional Structure in Yeast Glycolysis (United States)

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


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

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

    Directory of Open Access Journals (Sweden)

    Ada Ip


    Full Text Available Background. Timely pulmonary function testing is crucial to improving diagnosis and treatment of pulmonary diseases. Perceptions of poor access at an academic pulmonary function laboratory prompted analysis of system demand and capacity to identify factors contributing to poor access. Methods. Surveys and interviews identified stakeholder perspectives on operational processes and access challenges. Retrospective data on testing demand and resource capacity was analyzed to understand utilization of testing resources. Results. Qualitative analysis demonstrated that stakeholder groups had discrepant views on access and capacity in the laboratory. Mean daily resource utilization was 0.64 (SD 0.15, with monthly average utilization consistently less than 0.75. Reserved testing slots for subspecialty clinics were poorly utilized, leaving many testing slots unfilled. When subspecialty demand exceeded number of reserved slots, there was sufficient capacity in the pulmonary function schedule to accommodate added demand. Findings were shared with stakeholders and influenced scheduling process improvements. Conclusion. This study highlights the importance of operational data to identify causes of poor access, guide system decision-making, and determine effects of improvement initiatives in a variety of healthcare settings. Importantly, simple operational analysis can help to improve efficiency of health systems with little or no added financial investment.

  8. Using Operational Analysis to Improve Access to Pulmonary Function Testing. (United States)

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


    Background. Timely pulmonary function testing is crucial to improving diagnosis and treatment of pulmonary diseases. Perceptions of poor access at an academic pulmonary function laboratory prompted analysis of system demand and capacity to identify factors contributing to poor access. Methods. Surveys and interviews identified stakeholder perspectives on operational processes and access challenges. Retrospective data on testing demand and resource capacity was analyzed to understand utilization of testing resources. Results. Qualitative analysis demonstrated that stakeholder groups had discrepant views on access and capacity in the laboratory. Mean daily resource utilization was 0.64 (SD 0.15), with monthly average utilization consistently less than 0.75. Reserved testing slots for subspecialty clinics were poorly utilized, leaving many testing slots unfilled. When subspecialty demand exceeded number of reserved slots, there was sufficient capacity in the pulmonary function schedule to accommodate added demand. Findings were shared with stakeholders and influenced scheduling process improvements. Conclusion. This study highlights the importance of operational data to identify causes of poor access, guide system decision-making, and determine effects of improvement initiatives in a variety of healthcare settings. Importantly, simple operational analysis can help to improve efficiency of health systems with little or no added financial investment.

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

    Energy Technology Data Exchange (ETDEWEB)

    Brown, Daren W.; Butchko, Robert A.; Baker, Scott E.; Proctor, Robert H.


    Fusarium species are ubiquitous in nature, cause a range of plant diseases, and produce a variety of chemicals often referred to as secondary metabolites. Although some fungal secondary metabolites affect plant growth or protect plants from other fungi and bacteria, their presence in grain based food and feed is more often associated with a variety of diseases in plants and in animals. Many of these structurally diverse metabolites are derived from a family of related enzymes called polyketide synthases (PKSs). A search of genomic sequence of Fusarium verticillioides, F. graminearum, F. oxysporum and Nectria haematococca (anamorph F. solani) identified a total of 58 PKS genes. To gain insight into how this gene family evolved and to guide future studies, we conducted a phylogenomic and functional domain analysis. The resulting genealogy suggested that Fusarium PKSs represent 34 different groups responsible for synthesis of different core metabolites. The analyses indicate that variation in the Fusarium PKS gene family is due to gene duplication and loss events as well as enzyme gain-of-function due to the acquisition of new domains or of loss-of-function due to nucleotide mutations. Transcriptional analysis indicate that the 16 F. verticillioides PKS genes are expressed under a range of conditions, further evidence that they are functional genes that confer the ability to produce secondary metabolites.

  10. A Comparative Analysis of Texas Grade Five Student Achievement between Year-Round and Traditional School Calendars (United States)

    Wilmore-Dafonte, Christy N.


    Purpose: The purpose of this dissertation was to determine the extent to which school instructional calendar configuration (i.e., year-round or traditional) influenced Grade 5 student academic performance as reflected on the Texas Assessment of Knowledge and Skills (TAKS) test as a function of student ethnicity (i.e., Hispanic, White, and Black)…

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

    Directory of Open Access Journals (Sweden)

    Daniel D. Janocha


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

  12. Effect of spatial normalization on analysis of functional data (United States)

    Gee, James C.; Alsop, David C.; Aguirre, Geoffrey K.


    Conventional analysis of functional data often involves a normalization step in which the data are spatially aligned so that a measurement can be made across or between studies. Whether to enhance the signal-to-noise ratio or to detect significant deviations in activation from normal, the method used to register the underlying anatomies clearly impacts the viability of the analysis. Nevertheless, it is common practice to infer only homogeneous transformations, in which all parts of the image volume undergo the same mapping. To detect subtle effects or to extend the analysis to anatomies that exhibit considerable morphological variation, higher dimensional mappings to allow more accurate alignment will be crucial. We describe a Bayesian volumetric warping approach to the normalization problem, which matches local image features between MRI brain volumes, and compares its performance with a standard method (SPM'96) as well as contrast its effect on the analysis of a set of functional MRI studies against that obtained with a 9-parameter affine registration.

  13. ProbFAST: Probabilistic Functional Analysis System Tool

    Directory of Open Access Journals (Sweden)

    Oliveira Thiago YK


    Full Text Available Abstract Background The post-genomic era has brought new challenges regarding the understanding of the organization and function of the human genome. Many of these challenges are centered on the meaning of differential gene regulation under distinct biological conditions and can be performed by analyzing the Multiple Differential Expression (MDE of genes associated with normal and abnormal biological processes. Currently MDE analyses are limited to usual methods of differential expression initially designed for paired analysis. Results We proposed a web platform named ProbFAST for MDE analysis which uses Bayesian inference to identify key genes that are intuitively prioritized by means of probabilities. A simulated study revealed that our method gives a better performance when compared to other approaches and when applied to public expression data, we demonstrated its flexibility to obtain relevant genes biologically associated with normal and abnormal biological processes. Conclusions ProbFAST is a free accessible web-based application that enables MDE analysis on a global scale. It offers an efficient methodological approach for MDE analysis of a set of genes that are turned on and off related to functional information during the evolution of a tumor or tissue differentiation. ProbFAST server can be accessed at

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

    Directory of Open Access Journals (Sweden)

    Luciana C. DE OLIVEIRA


    Full Text Available This article presents a systemic-functional linguistic analysis of two writing samples of the University of California Analytical Writing Placement (AWP Examination written by English language learners (ELLs. The analysis shows the linguistic features utilized in the two writing samples, one that received a passing score and one that received a failing score. The article describes some of the grammatical resources which are functional for expository writing, which are divided under three main categories: textual, interpersonal, and ideational resources. Following this brief description is the analysis of both essays in terms of these resources.. The configuration of grammatical features used in the essays make up the detached style of essay 1 and the more personal style of essay 2. These grammatical features include the textual resources of thematic choices and development, clause-combining strategies (connectors, and lexical cohesion; interpersonal resources of interpersonal metaphors of modality; and ideational resources of nominalization and abstractions as ideational metaphors. Implications for educational practice and recommendations for educators based on the analysis are provided.

  15. Design and analysis of spiral bevel gears with seventh-order function of transmission error

    Institute of Scientific and Technical Information of China (English)

    Su Jinzhan; Fang Zongde; Cai Xiangwei


    This paper proposes a new approach to design and implement a seventh-order polyno-mial function of transmission error (TE) for spiral bevel gears with an aim to reduce the running vibration and noise of gear drive and improve the loaded distribution of the tooth. Based on the constraint conditions of predesigned seventh-order polynomial function curve and the theory of lin-ear algebra, the polynomial coefficients of the seventh-order polynomial function of transmission error can be obtained. By applying a method named reverse tooth contact analysis, the modified roll coefficients as well as parts of machine-tool settings for the face-milling of spiral bevel gears can be individually determined. Therefore, a predesigned seventh-order polynomial function of transmission error for spiral bevel gears can be obtained by the modified roll with high-order coef-ficients, and comparisons of the seventh-order polynomial and parabolic functions of transmission error are also performed. The achievement of spiral bevel gears with the seventh-order function of transmission error can be accomplished on a universal Cartesian-type hypoid gear generator or a numerically controlled cradle-style hypoid gear generator due to its simple generating motion of axes of the cradle and the work piece. The results of a numerical example show that the bending stresses of the tooth of seventh-order are less than those of a parabolic one, while the contact stres-ses remain almost equivalent.

  16. Differential item functioning analysis by applying multiple comparison procedures. (United States)

    Eusebi, Paolo; Kreiner, Svend


    Analysis within a Rasch measurement framework aims at development of valid and objective test score. One requirement of both validity and objectivity is that items do not show evidence of differential item functioning (DIF). A number of procedures exist for the assessment of DIF including those based on analysis of contingency tables by Mantel-Haenszel tests and partial gamma coefficients. The aim of this paper is to illustrate Multiple Comparison Procedures (MCP) for analysis of DIF relative to a variable defining a very large number of groups, with an unclear ordering with respect to the DIF effect. We propose a single step procedure controlling the false discovery rate for DIF detection. The procedure applies for both dichotomous and polytomous items. In addition to providing evidence against a hypothesis of no DIF, the procedure also provides information on subset of groups that are homogeneous with respect to the DIF effect. A stepwise MCP procedure for this purpose is also introduced.

  17. Impact of General Chemistry on Student Achievement and Progression to Subsequent Chemistry Courses: A Regression Discontinuity Analysis (United States)

    Shultz, Ginger V.; Gottfried, Amy C.; Winschel, Grace A.


    General chemistry is a gateway course that impacts the STEM trajectory of tens of thousands of students each year, and its role in the introductory curriculum as well as its pedagogical design are the center of an ongoing debate. To investigate the role of general chemistry in the curriculum, we report the results of a posthoc analysis of 10 years…

  18. Quality of Research Design Moderates Effects of Grade Retention on Achievement: A Meta-Analytic, Multilevel Analysis (United States)

    Allen, Chiharu S.; Chen, Qi; Willson, Victor L.; Hughes, Jan N.


    The present meta-analysis examines the effect of grade retention on academic outcomes and investigates systemic sources of variability in effect sizes. Using multilevel modeling (MLM), the authors investigate characteristics of 207 effect sizes across 22 studies published between 1990 and 2007 at two levels: the study (between) and individual…

  19. A Capstone Project: Closing the Achievement Gap of English Language Learners at Sunshine Elementary School Using the Gap Analysis Model (United States)

    Mingo-Long, Enyetta


    This project was an alternative capstone dissertation conducted by a team of three doctoral students. The project focused on systematic and long-term underachievement of the English Language Learner (ELL) population of a single school, Sunshine Elementary, using the gap analysis model (Clark and Estes, 2008). More specifically, the purpose of the…

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

    Directory of Open Access Journals (Sweden)

    Michael J J Chu

    Full Text Available BACKGROUNDS AND AIM: Current assessment of pre-operative liver function relies upon biochemical blood tests and histology but these only indirectly measure liver function. Mitochondrial function (MF analysis allows direct measurement of cellular metabolic function and may provide an additional index of hepatic health. Conventional MF analysis requires substantial tissue samples (>100 mg obtained at open surgery. Here we report a method to assess MF using <3 mg of tissue obtained by a Tru-cut® biopsy needle making it suitable for percutaneous application. METHODS: An 18G Bard® Max-core® biopsy instrument was used to collect samples. The optimal Tru-cut® sample weight, stability in ice-cold University of Wisconsin solution, reproducibility and protocol utility was initially evaluated in Wistar rat livers then confirmed in human samples. MF was measured in saponin-permeabilized samples using high-resolution respirometry. RESULTS: The average mass of a single rat and human liver Tru-cut® biopsy was 5.60±0.30 and 5.16±0.15 mg, respectively (mean; standard error of mean. Two milligram of sample was found the lowest feasible mass for the MF assay. Tissue MF declined after 1 hour of cold storage. Six replicate measurements within rats and humans (n = 6 each showed low coefficient of variation (<10% in measurements of State-III respiration, electron transport chain (ETC capacity and respiratory control ratio (RCR. Ischemic rat and human liver samples consistently showed lower State-III respiration, ETC capacity and RCR, compared to normal perfused liver samples. CONCLUSION: Consistent measurement of liver MF and detection of derangement in a disease state was successfully demonstrated using less than half the tissue from a single Tru-cut® biopsy. Using this technique outpatient assessment of liver MF is now feasible, providing a new assay for the evaluation of hepatic function.

  1. Analysis of infilled beams using method of initial functions and comparison with FEM

    Directory of Open Access Journals (Sweden)

    Rakesh Patel


    Full Text Available This paper presents a study carried out on reinforced concrete infilled beams. In reinforced concrete beams, less stressed concrete near neutral axis can be replaced by some light weight material like bricks to reduce the weight of the structure and also achieve the economy. Infilled zone is obtained with the help of stress block diagram, used for limit state design of reinforced concrete beams as per IS 456. Method of initial functions is used for the analysis of infilled reinforced concrete composite beams. The method of initial function (MIF is an analytical method of elasticity theory. The results obtained by MIF are compared with those predicting by Finite Element Method (FEM based software ANSYS, and it is observed that they are comparable.

  2. America's progress in achieving the legalization of same-gender adoption: analysis of public opinion, 1994 to 2012. (United States)

    Montero, Darrel M


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

  3. Variables that predict academic achievement in the Spanish compulsory secondary educational system: a longitudinal, multi-level analysis. (United States)

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


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

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

    Directory of Open Access Journals (Sweden)

    Adriana Estrada-Bernal

    Full Text Available The growth cone, the tip of the emerging neurite, plays a crucial role in establishing the wiring of the developing nervous system. We performed an extensive proteomic analysis of axonal growth cones isolated from the brains of fetal Sprague-Dawley rats. Approximately 2000 proteins were identified at ≥ 99% confidence level. Using informatics, including functional annotation cluster and KEGG pathway analysis, we found great diversity of proteins involved in axonal pathfinding, cytoskeletal remodeling, vesicular traffic and carbohydrate metabolism, as expected. We also found a large and complex array of proteins involved in translation, protein folding, posttranslational processing, and proteasome/ubiquitination-dependent degradation. Immunofluorescence studies performed on hippocampal neurons in culture confirmed the presence in the axonal growth cone of proteins representative of these processes. These analyses also provide evidence for rough endoplasmic reticulum and reveal a reticular structure equipped with Golgi-like functions in the axonal growth cone. Furthermore, Western blot revealed the growth cone enrichment, relative to fetal brain homogenate, of some of the proteins involved in protein synthesis, folding and catabolism. Our study provides a resource for further research and amplifies the relatively recently developed concept that the axonal growth cone is equipped with proteins capable of performing a highly diverse range of functions.

  5. The NASA/industry Design Analysis Methods for Vibrations (DAMVIBS) program: McDonnell-Douglas Helicopter Company achievements (United States)

    Toossi, Mostafa; Weisenburger, Richard; Hashemi-Kia, Mostafa


    This paper presents a summary of some of the work performed by McDonnell Douglas Helicopter Company under NASA Langley-sponsored rotorcraft structural dynamics program known as DAMVIBS (Design Analysis Methods for VIBrationS). A set of guidelines which is applicable to dynamic modeling, analysis, testing, and correlation of both helicopter airframes and a large variety of structural finite element models is presented. Utilization of these guidelines and the key features of their applications to vibration modeling of helicopter airframes are discussed. Correlation studies with the test data, together with the development and applications of a set of efficient finite element model checkout procedures, are demonstrated on a large helicopter airframe finite element model. Finally, the lessons learned and the benefits resulting from this program are summarized.

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

    Energy Technology Data Exchange (ETDEWEB)

    Carpenter, D.C.


    Recent advances have been made in the use of p-type finite element method (FEM) for structural and fluid dynamics problems that hold promise for reactor physics problems. These advances include using hierarchic shape functions, element-by-element iterative solvers and more powerful mapping techniques. Use of the hierarchic shape functions allows greater flexibility and efficiency in implementing energy-dependent flux expansions and incorporating localized refinement of the solution space. The irregular matrices generated by the p-type FEM can be solved efficiently using element-by-element conjugate gradient iterative solvers. These solvers do not require storage of either the global or local stiffness matrices and can be highly vectorized. Mapping techniques based on blending function interpolation allow exact representation of curved boundaries using coarse element grids. These features were implemented in a developmental two-dimensional neutron diffusion program based on the use of hierarchic shape functions (FEM2DH). Several aspects in the effective use of p-type analysis were explored. Two choices of elemental preconditioning were examined--the proper selection of the polynomial shape functions and the proper number of functions to use. Of the five shape function polynomials tested, the integral Legendre functions were the most effective. The serendipity set of functions is preferable over the full tensor product set. Two global preconditioners were also examined--simple diagonal and incomplete Cholesky. The full effectiveness of the finite element methodology was demonstrated on a two-region, two-group cylindrical problem but solved in the x-y coordinate space, using a non-structured element grid. The exact, analytic eigenvalue solution was achieved with FEM2DH using various combinations of element grids and flux expansions.

  7. Metabolomics and Cheminformatics Analysis of Antifungal Function of Plant Metabolites

    Directory of Open Access Journals (Sweden)

    Miroslava Cuperlovic-Culf


    Full Text Available Fusarium head blight (FHB, primarily caused by Fusarium graminearum, is a devastating disease of wheat. Partial resistance to FHB of several wheat cultivars includes specific metabolic responses to inoculation. Previously published studies have determined major metabolic changes induced by pathogens in resistant and susceptible plants. Functionality of the majority of these metabolites in resistance remains unknown. In this work we have made a compilation of all metabolites determined as selectively accumulated following FHB inoculation in resistant plants. Characteristics, as well as possible functions and targets of these metabolites, are investigated using cheminformatics approaches with focus on the likelihood of these metabolites acting as drug-like molecules against fungal pathogens. Results of computational analyses of binding properties of several representative metabolites to homology models of fungal proteins are presented. Theoretical analysis highlights the possibility for strong inhibitory activity of several metabolites against some major proteins in Fusarium graminearum, such as carbonic anhydrases and cytochrome P450s. Activity of several of these compounds has been experimentally confirmed in fungal growth inhibition assays. Analysis of anti-fungal properties of plant metabolites can lead to the development of more resistant wheat varieties while showing novel application of cheminformatics approaches in the analysis of plant/pathogen interactions.

  8. Analysis of the TGFβ functional pathway in epithelial ovarian carcinoma (United States)

    Francis-Thickpenny, K M; Richardson, D M; Ee, C C van; Love, D R; Winship, I M; Baguley, B C; Chenevix-Trench, G; Shelling, A N


    Epithelial ovarian carcinoma is often diagnosed at an advanced stage of disease and is the leading cause of death from gynaecological neoplasia. The genetic changes that occur during the development of this carcinoma are poorly understood. It has been proposed that IGFIIR, TGFβ1 and TGFβRII act as a functional unit in the TGFβ growth inhibitory pathway, and that somatic loss-of-function mutations in any one of these genes could lead to disruption of the pathway and subsequent loss of cell cycle control. We have examined these 3 genes in 25 epithelial ovarian carcinomas using single-stranded conformational polymorphism analysis and DNA sequence analysis. A total of 3 somatic missense mutations were found in the TGFβRII gene, but none in IGFRII or TGFβ1. An association was found between TGFβRII mutations and histology, with 2 out of 3 clear cell carcinomas having TGFβRII mutations. This data supports other evidence from mutational analysis of the PTEN and β-catenin genes that there are distinct developmental pathways responsible for the progression of different epithelial ovarian cancer histologic subtypes. © 2001 Cancer Research Campaign PMID:11531253

  9. An analysis of perfusion technology preadmission factors effects on academic success, perfusion certification achievement, and career placement. (United States)

    Palmer, David A


    This retrospective study was designed to evaluate the contribution of grade point average (GPA) and the Wechsler Adult Intelligence Scale-Revised (WAIS-R) practical scores toward predicting perfusion academic success, career placement as a clinical perfusionist, and certification success or failure. The files of 95 students enrolled in the perfusion technology program at Carlow University-University of Pittsburgh Medical Center School of Cardiovascular Perfusion (CARLOW-UPMC) from 1995 through 2005 were reviewed to obtain admission and academic data. The independent variables used were WAIS-R practical results of the picture completion (PC), picture arrangement (PA), block design (BD), object assembly (OA) and digit symbol (DS) tests, undergraduate grade point average (UGPA), science grade point average (SGPA), and anatomy and physiology grade point average (APGPA). The dependent variables used were perfusion grade point average (PGPA), career placement status as a clinical perfusionist (CAREER), and success or failure on the American Board of Cardiovascular Perfusion (ABCP) certification examination. The research plan consisted of logistic and multiple linear regression analyses to determine which of the WAIS-R and GPA independent variables were significantly associated with the dependent variables. UGPA, SGPA, and APGPA all correlate at the 5% level with success achieving high PGPA. WAIS-R measures were not significant indicators of academic success. PGPA, UGPA, SGPA, and APGPA did not significantly correlate with any of the tested WAIS-R scores. PC, BD, and OA scores correlate well with CAREER. OA and DS scores correlate at the p = 0.05 level with ABCP certification success.

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

    CERN Document Server

    Windischberger, C


    Functional magnetic resonance imaging represents a non-invasive technique to examine neuronal activity in the brain. It applies radio waves to excite nuclear spins, using the emitted signal during relaxation for image generation. Signal modulations from local blood flow and oxygenation level changes caused by neuronal activity are the basis for calculating functional brain maps with high spatial resolution. The present work discusses concepts for improving the spatial and temporal resolution, as well as sophisticated analysis approaches. Besides an exhaustive description of image reconstruction algorithms, computational simulations on echo-shifting in echo-planar imaging are presented and effects on spatial resolution are quantified. The results demonstrate that echo-shifting causes only minimal resolution losses for high signal-to-noise data, but leads to severe resolution degradation (up to 30 %) in images with low signal-to-noise ratios. After an overview of the mechanisms that cause fMRI signal changes su...

  11. Production analysis of functionally distributed machines for underground mining

    Institute of Scientific and Technical Information of China (English)

    Fukui Rui; Kusaka Kouhei; Nakao Masayuki; Kodama Yuichi; Uetake Masaaki; Kawai Kazunari


    Recent years, underground mining method is becoming popular because of its potentially high produc-tivity and efficiency. In this method, a mining machinery;load haul dump (LHD), is used as both an exca-vator and a transporter of ore. This paper proposes a distributed system that realizes the excavation and transport functions with separated vehicles, an excavator and a transporter. In addition, this research proposes a mining map and configurations suitable for the proposed distributed system. To evaluate the productivity of the proposed system, a simulation environment has been developed. Analysis using the simulator reveals what performance factors of the excavator and the transporter have large impacts on the productivity. Simulation results also demonstrate the difference of potential between LHD system and the distributed system that can be explained based on their functions allocation.

  12. GeoChips for Analysis of Microbial Functional Communities

    Energy Technology Data Exchange (ETDEWEB)

    Van Nostrand, Joy D.; Wu, Liyou; He, Zhili; Zhou, Jizhong


    Functional gene arrays (FGA) are microarrays that contain probes for genes encoding proteins or enzymes involved in functions of interest and allow for the study of thousands of genes at one time. The most comprehensive FGA to date is the GeoChip, which contains ~;;24,000 probes for ~;;10,000 genes involved in the geochemical cycling of C, N, P, and S, as well as genes involved in metal resistance and reduction and contaminant degradation. This chapter details the methods necessary for GeoChip analysis. Methods covered include preparation of DNA (whole community genome amplification and labeling), array setup (prehybridization steps), hybridization (sample and hybridization buffers), and post hybridization steps (slide washing and array scanning).

  13. Functional analysis screening for problem behavior maintained by automatic reinforcement. (United States)

    Querim, Angie C; Iwata, Brian A; Roscoe, Eileen M; Schlichenmeyer, Kevin J; Ortega, Javier Virués; Hurl, Kylee E


    A common finding in previous research is that problem behavior maintained by automatic reinforcement continues to occur in the alone condition of a functional analysis (FA), whereas behavior maintained by social reinforcement typically is extinguished. Thus, the alone condition may represent an efficient screening procedure when maintenance by automatic reinforcement is suspected. We conducted a series of 5-min alone (or no-interaction) probes for 30 cases of problem behavior and compared initial predictions of maintenance or extinction to outcomes obtained in subsequent FAs. Results indicated that data from the screening procedure accurately predicted that problem behavior was maintained by automatic reinforcement in 21 of 22 cases and by social reinforcement in 7 of 8 cases. Thus, results of the screening accurately predicted the function of problem behavior (social vs. automatic reinforcement) in 28 of 30 cases.

  14. Sex determination by discriminant function analysis of lumbar vertebrae. (United States)

    Ostrofsky, Kelly R; Churchill, Steven E


    Sex determination is critical for developing the biological profile of unidentified skeletal remains. When more commonly used elements (os coxa, cranium) for sexing are not available, methods utilizing other skeletal elements are needed. This study aims to assess the degree of sexual dimorphism of the lumbar vertebrae and develop discriminant functions for sex determination from them, using a sample of South African blacks from the Raymond A. Dart Collection (47 males, 51 females). Eleven variables at each lumbar level were subjected to univariate and multivariate discriminant function analyses. Univariate equations produced classification rates ranging from 57.7% to 83.5%, with the highest accuracies associated with dimensions of the vertebral body. Multivariate stepwise analysis generated classification rates ranging from 75.9% to 88.7%. These results are comparable to other methods for sexing the skeleton and indicate that measures of the lumbar vertebrae can be used as an effective tool for sex determination.

  15. Uncertainty Analysis via Failure Domain Characterization: Polynomial Requirement Functions (United States)

    Crespo, Luis G.; Munoz, Cesar A.; Narkawicz, Anthony J.; Kenny, Sean P.; Giesy, Daniel P.


    This paper proposes an uncertainty analysis framework based on the characterization of the uncertain parameter space. This characterization enables the identification of worst-case uncertainty combinations and the approximation of the failure and safe domains with a high level of accuracy. Because these approximations are comprised of subsets of readily computable probability, they enable the calculation of arbitrarily tight upper and lower bounds to the failure probability. A Bernstein expansion approach is used to size hyper-rectangular subsets while a sum of squares programming approach is used to size quasi-ellipsoidal subsets. These methods are applicable to requirement functions whose functional dependency on the uncertainty is a known polynomial. Some of the most prominent features of the methodology are the substantial desensitization of the calculations from the uncertainty model assumed (i.e., the probability distribution describing the uncertainty) as well as the accommodation for changes in such a model with a practically insignificant amount of computational effort.

  16. A terror management analysis of the psychological functions of religion. (United States)

    Vail, Kenneth E; Rothschild, Zachary K; Weise, Dave R; Solomon, Sheldon; Pyszczynski, Tom; Greenberg, Jeff


    From a terror management theory (TMT) perspective, religion serves to manage the potential terror engendered by the uniquely human awareness of death by affording a sense of psychological security and hope of immortality. Although secular beliefs can also serve a terror management function, religious beliefs are particularly well suited to mitigate death anxiety because they are all encompassing, rely on concepts that are not easily disconfirmed, and promise literal immortality. Research is reviewed demonstrating that mortality salience produces increased belief in afterlife, supernatural agency, human ascension from nature, and spiritual distinctions between mind and body. The social costs and benefits of religious beliefs are considered and compared to those of secular worldviews. The terror management functions of, and benefits and costs associated with, different types of religious orientation, such as intrinsic religiosity, quest, and religious fundamentalism, are then examined. Finally, the TMT analysis is compared to other accounts of religion.

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

    Directory of Open Access Journals (Sweden)

    Feng Chen


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

  18. An Investigation of an Arts Infusion Program on Creative Thinking, Academic Achievement, Affective Functioning, and Arts Appreciation of Children at Three Grade Levels. (United States)

    Luftig, Richard L.


    Investigates the effects of an arts infusion program (SPECTRA+) on the creative thinking, academic achievement, self-esteem, locus of control, and appreciation of the arts by school children (n=615). Reports that SPECTRA+ program children scored higher than the control group in creativity, self-esteem, and arts appreciation, while data for…

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

    Energy Technology Data Exchange (ETDEWEB)

    Audenaert, A. [Artesis Hogeschool Antwerpen, Paardenmarkt 92, 2000 Antwerp (Belgium); Faculty of Applied Economics, Universiteit Antwerpen, Prinsstraat 13, 2000 Antwerp (Belgium); De Boeck, L. [Center for Modeling and Simulation, HUBrussel, Stormstraat 2, 1000 Brussels (Belgium); Affiliated Researcher Research Center for Operations Management, Faculty of Business and Economics, Katholieke Universiteit Leuven, Naamsestraat 69, 3000 Leuven (Belgium); Roelants, K. [Student Lessius, Campus De Nayer, J. De Nayerlaan 5, 2860 Sint-Katelijne-Waver (Belgium)


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

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

    Energy Technology Data Exchange (ETDEWEB)

    Ranade, Kedar S. [Ulm Univ. (Germany). Inst. fuer Quantenphysik and Center for Integrated Quantum Science and Technology (IQST)


    We give an introduction to certain topics from functional analysis which are relevant for physics in general and in particular for quantum mechanics. Starting from some examples, we discuss the theory of Hilbert spaces, spectral theory of unbounded operators, distributions and their applications and present some facts from operator algebras. We do not give proofs, but present examples and analogies from physics which should be useful to get a feeling for the topics considered. (copyright 2015 WILEY-VCH Verlag GmbH and Co. KGaA, Weinheim)

  1. Whole-genome sequence-based analysis of thyroid function


    Taylor, Peter N; Porcu, Eleonora; Chew, Shelby; Campbell, Purdey J.; Traglia, Michela; Brown, Suzanne J.; Mullin, Benjamin H; Shihab, Hashem A.; Min, Josine; Walter, Klaudia; Memari, Yasin; Huang, Jie; Barnes, Michael R.; Beilby, John P.; Charoen, Pimphen


    Normal thyroid function is essential for health, but its genetic architecture remains poorly understood. Here, for the heritable thyroid traits thyrotropin (TSH) and free thyroxine (FT4), we analyse whole-genome sequence data from the UK10K project (N=2,287). Using additional whole-genome sequence and deeply imputed data sets, we report meta-analysis results for common variants (MAF≥1%) associated with TSH and FT4 (N=16,335). For TSH, we identify a novel variant in SYN2 (MAF=23.5%, P=6.15 × 1...

  2. Groups as units of functional analysis, individuals as proximate mechanisms. (United States)

    Wilson, David Sloan


    Whenever selection operates at a given level of a multitier hierarchy, units at that level should become the object of functional analysis, and units at lower levels should be studied as proximate mechanisms. This intuition already exists for the study of genes in individuals, when individuals are the unit of selection. It is only beginning to be applied for the study of individuals in groups, when groups are the unit of selection. Smaldino's target article is an important step in this direction with an emphasis on human cultural evolution, but the same algorithm applies to all multilevel evolutionary processes.

  3. Numerical Analysis for Functional Differential and Integral Equations

    Institute of Scientific and Technical Information of China (English)

    Hermann BRUNNER; Tao TANG; Stefan VANDEWALLE


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

  4. Recent developments in multivariate pattern analysis for functional MRI

    Institute of Scientific and Technical Information of China (English)

    Zhi Yang; Fang Fang; Xuchu Weng


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

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

    Directory of Open Access Journals (Sweden)

    Laura E Webb

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

  6. The analysis of gastric function using computational techniques

    CERN Document Server

    Young, P


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

  7. Real analysis foundations and functions of one variable

    CERN Document Server

    Laczkovich, Miklós


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

  8. College Chemistry and Piaget: An Analysis of Gender Difference, Cognitive Abilities, and Achievement Measures Seventeen Years Apart (United States)

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


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

  9. Diagnostics of subtropical plants functional state by cluster analysis

    Directory of Open Access Journals (Sweden)

    Oksana Belous


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

  10. BambooGDB: a bamboo genome database with functional annotation and an analysis platform. (United States)

    Zhao, Hansheng; Peng, Zhenhua; Fei, Benhua; Li, Lubin; Hu, Tao; Gao, Zhimin; Jiang, Zehui


    Bamboo, as one of the most important non-timber forest products and fastest-growing plants in the world, represents the only major lineage of grasses that is native to forests. Recent success on the first high-quality draft genome sequence of moso bamboo (Phyllostachys edulis) provides new insights on bamboo genetics and evolution. To further extend our understanding on bamboo genome and facilitate future studies on the basis of previous achievements, here we have developed BambooGDB, a bamboo genome database with functional annotation and analysis platform. The de novo sequencing data, together with the full-length complementary DNA and RNA-seq data of moso bamboo composed the main contents of this database. Based on these sequence data, a comprehensively functional annotation for bamboo genome was made. Besides, an analytical platform composed of comparative genomic analysis, protein-protein interactions network, pathway analysis and visualization of genomic data was also constructed. As discovery tools to understand and identify biological mechanisms of bamboo, the platform can be used as a systematic framework for helping and designing experiments for further validation. Moreover, diverse and powerful search tools and a convenient browser were incorporated to facilitate the navigation of these data. As far as we know, this is the first genome database for bamboo. Through integrating high-throughput sequencing data, a full functional annotation and several analysis modules, BambooGDB aims to provide worldwide researchers with a central genomic resource and an extensible analysis platform for bamboo genome. BambooGDB is freely available at Database URL:

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

    CERN Document Server

    Dontchev, Asen L


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

  12. Functional analysis of retinal microglia and their effects on progenitors. (United States)

    Carter, Debra A; Balasubramaniam, Balini; Dick, Andrew D


    The identification of stem/progenitor cells within the retinal neural environment has opened up the possibility of therapy via cellular replacement and/or reprogramming of resident cell populations. Within the neuro-retinal niche, following injury or in disease states (including inflammation and degeneration), cellular responses affect tissue homeostasis, reduce cell density, disrupt tissue architecture, and produce scar formation. Microglia (resident retinal immune cell tissue macrophage) are key to the maintenance of retinal homeostasis and are implicated in responses that may influence the control and behavior of retinal progenitors. Factors to consider in the generation of a transplantable cell resource with good migratory and integrative capacity include their yield, purity, and functional viability. Utilizing human postmortem retina, we have created a research platform to isolate, culture, and characterize adult retinal microglia as well as analyze their effect on retinal progenitors. Here, we describe techniques using magnetic labeled bead cell separation to isolate pure populations of retinal CD133(+) precursor cells and CD11b(+) microglia from primary adult retinal cell suspensions (RCSs), enabling flow cytometric cell phenotypic and qPCR genotypic analysis, as well as functional analysis by real-time ratiometric calcium imaging.

  13. Hazard function analysis for flood planning under nonstationarity (United States)

    Read, Laura K.; Vogel, Richard M.


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

  14. Executive Functioning, Metacognition, and Self-Perceived Competence in Elementary School Children: An Explorative Study on Their Interrelations and Their Role for School Achievement (United States)

    Roebers, Claudia M.; Cimeli, Patrizia; Rothlisberger, Marianne; Neuenschwander, Regula


    In the present study, associations between executive functioning, metacognition, and self-perceived competence in the context of early academic outcomes were examined. A total of 209 children attending first grade were initially assessed in terms of their executive functioning and academic self-concept. One year later, children's executive…

  15. Modeling a Cascade of Effects: The Role of Speed and Executive Functioning in Preterm/Full-Term Differences in Academic Achievement (United States)

    Rose, Susan A.; Feldman, Judith F.; Jankowski, Jeffery J.


    This study identified deficits in executive functioning in pre-adolescent preterms and modeled their role, along with processing speed, in explaining preterm/full-term differences in reading and mathematics. Preterms (less than 1750 g) showed deficits at 11 years on a battery of tasks tapping the three basic executive functions identified by…

  16. Thermal Stresses Analysis and Optimized TTP Processes to Achieved CNT-Based Diaphragm for Thin Panel Speakers

    Directory of Open Access Journals (Sweden)

    Feng-Min Lai


    Full Text Available Industrial companies popularly used the powder coating, classing, and thermal transfer printing (TTP technique to avoid oxidation on the metallic surface and stiffened speaker diaphragm. This study developed a TTP technique to fabricate a carbon nanotubes (CNTs stiffened speaker diaphragm for thin panel speaker. The self-developed TTP stiffening technique did not require a high curing temperature that decreased the mechanical property of CNTs. In addition to increasing the stiffness of diaphragm substrate, this technique alleviated the middle and high frequency attenuation associated with the smoothing sound pressure curve of thin panel speaker. The advantage of TTP technique is less harmful to the ecology, but it causes thermal residual stresses and some unstable connections between printed plates. Thus, this study used the numerical analysis software (ANSYS to analyze the stress and thermal of work piece which have not delaminated problems in transfer interface. The Taguchi quality engineering method was applied to identify the optimal manufacturing parameters. Finally, the optimal manufacturing parameters were employed to fabricate a CNT-based diaphragm, which was then assembled onto a speaker. The result indicated that the CNT-based diaphragm improved the sound pressure curve smoothness of the speaker, which produced a minimum high frequency dip difference (ΔdB value.

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

    Directory of Open Access Journals (Sweden)

    Smit Henriette A


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

  18. A New Mathematical Model for Flank Wear Prediction Using Functional Data Analysis Methodology

    Directory of Open Access Journals (Sweden)

    Sonja Jozić


    Full Text Available This paper presents a new approach improving the reliability of flank wear prediction during the end milling process. In the present work, prediction of flank wear has been achieved by using cutting parameters and force signals as the sensitive carriers of information about the machining process. A series of experiments were conducted to establish the relationship between flank wear and cutting force components as well as the cutting parameters such as cutting speed, feed per tooth, and radial depth of cut. In order to be able to predict flank wear a new linear regression mathematical model has been developed by utilizing functional data analysis methodology. Regression coefficients of the model are in the form of time dependent functions that have been determined through the use of functional data analysis methodology. The mathematical model has been developed by means of applied cutting parameters and measured cutting forces components during the end milling of workpiece made of 42CrMo4 steel. The efficiency and flexibility of the developed model have been verified by comparing it with the separate experimental data set.

  19. Analysis of gas turbine engines using water and oxygen injection to achieve high Mach numbers and high thrust (United States)

    Henneberry, Hugh M.; Snyder, Christopher A.


    An analysis of gas turbine engines using water and oxygen injection to enhance performance by increasing Mach number capability and by increasing thrust is described. The liquids are injected, either separately or together, into the subsonic diffuser ahead of the engine compressor. A turbojet engine and a mixed-flow turbofan engine (MFTF) are examined, and in pursuit of maximum thrust, both engines are fitted with afterburners. The results indicate that water injection alone can extend the performance envelope of both engine types by one and one-half Mach numbers at which point water-air ratios reach 17 or 18 percent and liquid specific impulse is reduced to some 390 to 470 seconds, a level about equal to the impulse of a high energy rocket engine. The envelope can be further extended, but only with increasing sacrifices in liquid specific impulse. Oxygen-airflow ratios as high as 15 percent were investigated for increasing thrust. Using 15 percent oxygen in combination with water injection at high supersonic Mach numbers resulted in thrust augmentation as high as 76 percent without any significant decrease in liquid specific impulse. The stoichiometric afterburner exit temperature increased with increasing oxygen flow, reaching 4822 deg R in the turbojet engine at a Mach number of 3.5. At the transonic Mach number of 0.95 where no water injection is needed, an oxygen-air ratio of 15 percent increased thrust by some 55 percent in both engines, along with a decrease in liquid specific impulse of 62 percent. Afterburner temperature was approximately 4700 deg R at this high thrust condition. Water and/or oxygen injection are simple and straightforward strategies to improve engine performance and they will add little to engine weight. However, if large Mach number and thrust increases are required, liquid flows become significant, so that operation at these conditions will necessarily be of short duration.

  20. Stochastic analysis of response functions in environmental modeling

    Energy Technology Data Exchange (ETDEWEB)

    Tumeo, M.A.


    Development of a new mathematical technique to include stochasticity in environmental models used of resource management and public health risk analysis is reported. The technique is based on the expansion of basic governing equations to include stochastic terms. The stochastic terms are then separated from the non-fluctuating terms, and the resulting set of equations solved simultaneously. The solutions of this set of equations are used to calculate the moments of the output variables. In addition, the moments are used in conjunction with the Fokker-Planck Equation to produce an analytical solution for the probability density functions of the dependent variables. The technique is applied in two examples. The first example is an application to the Streeter-Phelps BOD-OD Equations. Results of the analysis are compared to field data as well as to results of a Monte Carlo model and to moments derived using a Stochastic Differential Equations approach. The second application involves analysis of health risks associated with waterborne diseases. Results are compared to the results of a Monte Carlo simulation of a similar system of equations.

  1. Optical transfer function analysis of circular-pupil wavefront coding systems with separable phase masks

    Institute of Scientific and Technical Information of China (English)

    Zhao Ting-Yu; Liu Qin-Xiao; Yu Fei-Hong


    This paper proposes a simple method to achieve the optical transfer function of a circular pupil wavefront coding system with a separable phase mask in Cartesian coordinates.Based on the stationary phase method,the optical transfer function of the circular pupil system can be easily obtained from the optical transfer function of the rectangular pupil system by modifying the cut-off frequency and the on-axial modulation transfer function.Finally,a system with a cubic phase mask is used as an example to illustrate the way to achieve the optical transfer function of the circular pupil system from the rectangular pupil system.

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

    Energy Technology Data Exchange (ETDEWEB)

    Fukuoka, Seiji; Takanashi, Masami; Seo, Yoshinobu [Nakamura Memorial Hospital, Sapporo (Japan)] [and others


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

  3. From computational modelling of the intrinsic apoptosis pathway to a systems-based analysis of chemotherapy resistance: achievements, perspectives and challenges in systems medicine. (United States)

    Würstle, M L; Zink, E; Prehn, J H M; Rehm, M


    Our understanding of the mitochondrial or intrinsic apoptosis pathway and its role in chemotherapy resistance has increased significantly in recent years by a combination of experimental studies and mathematical modelling. This combined approach enhanced the quantitative and kinetic understanding of apoptosis signal transduction, but also provided new insights that systems-emanating functions (i.e., functions that cannot be attributed to individual network components but that are instead established by multi-component interplay) are crucial determinants of cell fate decisions. Among these features are molecular thresholds, cooperative protein functions, feedback loops and functional redundancies that provide systems robustness, and signalling topologies that allow ultrasensitivity or switch-like responses. The successful development of kinetic systems models that recapitulate biological signal transduction observed in living cells have now led to the first translational studies, which have exploited and validated such models in a clinical context. Bottom-up strategies that use pathway models in combination with higher-level modelling at the tissue, organ and whole body-level therefore carry great potential to eventually deliver a new generation of systems-based diagnostic tools that may contribute to the development of personalised and predictive medicine approaches. Here we review major achievements in the systems biology of intrinsic apoptosis signalling, discuss challenges for further model development, perspectives for higher-level integration of apoptosis models and finally discuss requirements for the development of systems medical solutions in the coming years.

  4. Multiple-factor analysis of the first radioactive iodine therapy in post-operative patients with differentiated thyroid cancer for achieving a disease-free status (United States)

    Liu, Na; Meng, Zhaowei; Jia, Qiang; Tan, Jian; Zhang, Guizhi; Zheng, Wei; Wang, Renfei; Li, Xue; Hu, Tianpeng; Upadhyaya, Arun; Zhou, Pingping; Wang, Sen


    131I treatment is an important management method for patients with differentiated thyroid cancer (DTC). Unsuccessful 131I ablation drastically affects the prognosis of the patients. This study aimed to analyze potential predictive factors influencing the achievement of a disease-free status following the first 131I therapy. This retrospective review included 315 DTC patients, and multiple factors were analyzed. Tumor size, pathological tumor stage, lymph node (LN) metastasis, distant metastasis, American Thyroid Association recommended risks, pre-ablation thyroglobulin (Tg), and thyroid stimulating hormone (TSH) displayed significant differences between unsuccessful and successful group. Cutoff values of Tg and TSH to predict a successful outcome were 3.525 ng/mL and 99.700 uIU/ml by receiver operating characteristic curves analysis. Binary logistic regression analysis showed that tumor stage T3 or T4, LN metastasis to N1b station, intermediate and high risks, pre-ablation Tg ≥ 3.525 ng/ml and TSH <99.700 μIU/mL were significantly associated with unsuccessful outcomes. Logistic regression equation for achieving a disease-free status could be rendered as: y (successful treatment) = −0.270–0.503 X1 (LN metastasis) −0.236 X2 (Tg) + 0.015 X3 (TSH). This study demonstrated LN metastasis, pre-ablation Tg and TSH were the most powerful predictors for achieving a disease-free status by the first 131I therapy. PMID:27721492

  5. Some operator ideals in non-commutative functional analysis

    CERN Document Server

    Fidaleo, F


    We characterize classes of linear maps between operator spaces $E$, $F$ which factorize through maps arising in a natural manner via the Pisier vector-valued non-commutative $L^p$ spaces $S_p[E^*]$ based on the Schatten classes on the separable Hilbert space $l^2$. These classes of maps can be viewed as quasi-normed operator ideals in the category of operator spaces, that is in non-commutative (quantized) functional analysis. The case $p=2$ provides a Banach operator ideal and allows us to characterize the split property for inclusions of $W^*$-algebras by the 2-factorable maps. The various characterizations of the split property have interesting applications in Quantum Field Theory.

  6. Generating Functional Analysis for Iterative CDMA Multiuser Detectors

    CERN Document Server

    Mimura, Kazushi


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


    Institute of Scientific and Technical Information of China (English)

    Lv Feiyan; Ding Jianjin; Sha Fei


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

  8. Functional Principal Component Analysis and Randomized Sparse Clustering Algorithm for Medical Image Analysis.

    Directory of Open Access Journals (Sweden)

    Nan Lin

    Full Text Available Due to the advancement in sensor technology, the growing large medical image data have the ability to visualize the anatomical changes in biological tissues. As a consequence, the medical images have the potential to enhance the diagnosis of disease, the prediction of clinical outcomes and the characterization of disease progression. But in the meantime, the growing data dimensions pose great methodological and computational challenges for the representation and selection of features in image cluster analysis. To address these challenges, we first extend the functional principal component analysis (FPCA from one dimension to two dimensions to fully capture the space variation of image the signals. The image signals contain a large number of redundant features which provide no additional information for clustering analysis. The widely used methods for removing the irrelevant features are sparse clustering algorithms using a lasso-type penalty to select the features. However, the accuracy of clustering using a lasso-type penalty depends on the selection of the penalty parameters and the threshold value. In practice, they are difficult to determine. Recently, randomized algorithms have received a great deal of attentions in big data analysis. This paper presents a randomized algorithm for accurate feature selection in image clustering analysis. The proposed method is applied to both the liver and kidney cancer histology image data from the TCGA database. The results demonstrate that the randomized feature selection method coupled with functional principal component analysis substantially outperforms the current sparse clustering algorithms in image cluster analysis.

  9. BRET biosensor analysis of receptor tyrosine kinase functionality

    Directory of Open Access Journals (Sweden)

    Sana eSiddiqui


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

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

    Directory of Open Access Journals (Sweden)

    Cohn Judith D


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

  11. Functional analysis of PGRP-LA in Drosophila immunity.

    Directory of Open Access Journals (Sweden)

    Mathilde Gendrin

    Full Text Available PeptidoGlycan Recognition Proteins (PGRPs are key regulators of the insect innate antibacterial response. Even if they have been intensively studied, some of them have yet unknown functions. Here, we present a functional analysis of PGRP-LA, an as yet uncharacterized Drosophila PGRP. The PGRP-LA gene is located in cluster with PGRP-LC and PGRP-LF, which encode a receptor and a negative regulator of the Imd pathway, respectively. Structure predictions indicate that PGRP-LA would not bind to peptidoglycan, pointing to a regulatory role of this PGRP. PGRP-LA expression was enriched in barrier epithelia, but low in the fat body. Use of a newly generated PGRP-LA deficient mutant indicates that PGRP-LA is not required for the production of antimicrobial peptides by the fat body in response to a systemic infection. Focusing on the respiratory tract, where PGRP-LA is strongly expressed, we conducted a genome-wide microarray analysis of the tracheal immune response of wild-type, Relish, and PGRP-LA mutant larvae. Comparing our data to previous microarray studies, we report that a majority of genes regulated in the trachea upon infection differ from those induced in the gut or the fat body. Importantly, antimicrobial peptide gene expression was reduced in the tracheae of larvae and in the adult gut of PGRP-LA-deficient Drosophila upon oral bacterial infection. Together, our results suggest that PGRP-LA positively regulates the Imd pathway in barrier epithelia.

  12. Correlation between videogame mechanics and executive functions through EEG analysis. (United States)

    Mondéjar, Tania; Hervás, Ramón; Johnson, Esperanza; Gutierrez, Carlos; Latorre, José Miguel


    This paper addresses a different point of view of videogames, specifically serious games for health. This paper contributes to that area with a multidisciplinary perspective focus on neurosciences and computation. The experiment population has been pre-adolescents between the ages of 8 and 12 without any cognitive issues. The experiment consisted in users playing videogames as well as performing traditional psychological assessments; during these tasks the frontal brain activity was evaluated. The main goal was to analyse how the frontal lobe of the brain (executive function) works in terms of prominent cognitive skills during five types of game mechanics widely used in commercial videogames. The analysis was made by collecting brain signals during the two phases of the experiment, where the signals were analysed with an electroencephalogram neuroheadset. The validated hypotheses were whether videogames can develop executive functioning and if it was possible to identify which kind of cognitive skills are developed during each kind of typical videogame mechanic. The results contribute to the design of serious games for health purposes on a conceptual level, particularly in support of the diagnosis and treatment of cognitive-related pathologies.

  13. Deciphering primordial cyanobacterial genome functions from protein network analysis. (United States)

    Harel, Arye; Karkar, Slim; Cheng, Shu; Falkowski, Paul G; Bhattacharya, Debashish


    The Great Oxidation Event (GOE) ∼2.4 billion years ago resulted from the accumulation of oxygen by the ancestors of cyanobacteria [1-3]. Cyanobacteria continue to play a significant role in primary production [4] and in regulating the global marine and limnic nitrogen cycles [5, 6]. Relatively little is known, however, about the evolutionary history and gene content of primordial cyanobacteria [7, 8]. To address these issues, we used protein similarity networks [9], containing proteomes from 48 cyanobacteria as the test group, and reference proteomes from 84 microbes representing four distinct metabolic groups from most reducing to most oxidizing: methanogens, obligate anaerobes (nonmethanogenic), facultative aerobes, and obligate aerobes. These four metabolic groups represent extant bioinformatic proxies for ancient redox chemistries, extending from an anoxic origin through the GOE and ultimately to obligate aerobes [10-13]. Analysis of the network metric degree showed a strong relationship between cyanobacteria and obligate anaerobes, from which cyanobacteria presumably arose, for core functions that include translation, photosynthesis, energy conservation, and environmental interactions. These data were used to reconstruct primordial functions in cyanobacteria that included nine gene families involved in photosynthesis, hydrogenases, and proteins involved in defense from environmental stress. The presence of 60% of these genes in both reaction center I (RC-I) and RC-II-type bacteria may be explained by selective loss of either RC in the evolutionary history of some photosynthetic lineages. Finally, the network reveals that cyanobacteria occupy a unique position among prokaryotes as a hub between anaerobes and obligate aerobes.

  14. A meta-analysis of parton distribution functions (United States)

    Gao, Jun; Nadolsky, Pavel


    A "meta-analysis" is a method for comparison and combination of nonperturbative parton distribution functions (PDFs) in a nucleon obtained with heterogeneous procedures and assumptions. Each input parton distribution set is converted into a "meta-parametrization" based on a common functional form. By analyzing parameters of the meta-parametrizations from all input PDF ensembles, a combined PDF ensemble can be produced that has a smaller total number of PDF member sets than the original ensembles. The meta-parametrizations simplify the computation of the PDF uncertainty in theoretical predictions and provide an alternative to the 2010 PDF4LHC convention for combination of PDF uncertainties. As a practical example, we construct a META ensemble for computation of QCD observables at the Large Hadron Collider using the next-to-next-to-leading order PDF sets from CTEQ, MSTW, and NNPDF groups as the input. The META ensemble includes a central set that reproduces the average of LHC predictions based on the three input PDF ensembles and Hessian eigenvector sets for computing the combined PDF+α s uncertainty at a common QCD coupling strength of 0.118.

  15. Functional data analysis for dynamical system identification of behavioral processes. (United States)

    Trail, Jessica B; Collins, Linda M; Rivera, Daniel E; Li, Runze; Piper, Megan E; Baker, Timothy B


    Efficient new technology has made it straightforward for behavioral scientists to collect anywhere from several dozen to several thousand dense, repeated measurements on one or more time-varying variables. These intensive longitudinal data (ILD) are ideal for examining complex change over time but present new challenges that illustrate the need for more advanced analytic methods. For example, in ILD the temporal spacing of observations may be irregular, and individuals may be sampled at different times. Also, it is important to assess both how the outcome changes over time and the variation between participants' time-varying processes to make inferences about a particular intervention's effectiveness within the population of interest. The methods presented in this article integrate 2 innovative ILD analytic techniques: functional data analysis and dynamical systems modeling. An empirical application is presented using data from a smoking cessation clinical trial. Study participants provided 42 daily assessments of pre-quit and post-quit withdrawal symptoms. Regression splines were used to approximate smooth functions of craving and negative affect and to estimate the variables' derivatives for each participant. We then modeled the dynamics of nicotine craving using standard input-output dynamical systems models. These models provide a more detailed characterization of the post-quit craving process than do traditional longitudinal models, including information regarding the type, magnitude, and speed of the response to an input. The results, in conjunction with standard engineering control theory techniques, could potentially be used by tobacco researchers to develop a more effective smoking intervention.

  16. Functional analysis of the larval feeding circuit in Drosophila. (United States)

    Bhatt, Parag K; Neckameyer, Wendi S


    The serotonergic feeding circuit in Drosophila melanogaster larvae can be used to investigate neuronal substrates of critical importance during the development of the circuit. Using the functional output of the circuit, feeding, changes in the neuronal architecture of the stomatogastric system can be visualized. Feeding behavior can be recorded by observing the rate of retraction of the mouth hooks, which receive innervation from the brain. Locomotor behavior is used as a physiological control for feeding, since larvae use their mouth hooks to traverse across an agar substrate. Changes in feeding behavior can be correlated with the axonal architecture of the neurites innervating the gut. Using immunohistochemistry it is possible to visualize and quantitate these changes. Improper handling of the larvae during behavior paradigms can alter data as they are very sensitive to manipulations. Proper imaging of the neurite architecture innervating the gut is critical for precise quantitation of number and size of varicosities as well as the extent of branch nodes. Analysis of most circuits allow only for visualization of neurite architecture or behavioral effects; however, this model allows one to correlate the functional output of the circuit with the impairments in neuronal architecture.

  17. Meta-analysis of functional brain imaging in specific phobia. (United States)

    Ipser, Jonathan C; Singh, Leesha; Stein, Dan J


    Although specific phobia is a prevalent anxiety disorder, evidence regarding its underlying functional neuroanatomy is inconsistent. A meta-analysis was undertaken to identify brain regions that were consistently responsive to phobic stimuli, and to characterize changes in brain activation following cognitive behavioral therapy (CBT). We searched the PubMed, SCOPUS and PsycINFO databases to identify positron emission tomography and functional magnetic resonance imaging studies comparing brain activation in specific phobia patients and healthy controls. Two raters independently extracted study data from all the eligible studies, and pooled coordinates from these studies using activation likelihood estimation, a quantitative meta-analytic technique. Resulting statistical parametric maps were compared between patients and healthy controls, in response to phobic versus fear-evoking stimuli, and before and after therapy. Thirteen studies were included, comprising 327 participants. Regions that were consistently activated in response to phobic stimuli included the left insula, amygdala, and globus pallidus. Compared to healthy controls, phobic subjects had increased activation in response to phobic stimuli in the left amygdala/globus pallidus, left insula, right thalamus (pulvinar), and cerebellum. Following exposure-based therapy widespread deactivation was observed in the right frontal cortex, limbic cortex, basal ganglia and cerebellum, with increased activation detected in the thalamus. Exposure to phobia-specific stimuli elicits brain activation that is consistent with current understandings of the neuroanatomy of fear conditioning and extinction. There is evidence that the effects of CBT in specific phobia may be mediated through the same underlying neurocircuitry.

  18. A meta-analysis of parton distribution functions

    CERN Document Server

    Gao, Jun


    A "meta-analysis" is a method for comparison and combination of nonperturbative parton distribution functions (PDFs) in a nucleon obtained with heterogeneous procedures and assumptions. Each input parton distribution set is converted into a "meta-parametrization" based on a common functional form. By analyzing parameters of the meta-parametrizations from all input PDF ensembles, a combined PDF ensemble can be produced that has a smaller total number of PDF member sets than the original ensembles. The meta-parametrizations simplify the computation of the PDF uncertainty in theoretical predictions and provide an alternative to the 2010 PDF4LHC convention for combination of PDF uncertainties. As a practical example, we construct a META ensemble for computation of QCD observables at the Large Hadron Collider using the next-to-next-to-leading order PDF sets from CTEQ, MSTW, and NNPDF groups as the input. The META ensemble includes a central set that reproduces the average of LHC predictions based on the three inpu...

  19. Functional analysis of sirtuin genes in multiple Plasmodium falciparum strains.

    Directory of Open Access Journals (Sweden)

    Catherine J Merrick

    Full Text Available Plasmodium falciparum, the causative agent of severe human malaria, employs antigenic variation to avoid host immunity. Antigenic variation is achieved by transcriptional switching amongst polymorphic var genes, enforced by epigenetic modification of chromatin. The histone-modifying 'sirtuin' enzymes PfSir2a and PfSir2b have been implicated in this process. Disparate patterns of var expression have been reported in patient isolates as well as in cultured strains. We examined var expression in three commonly used laboratory strains (3D7, NF54 and FCR-3 in parallel. NF54 parasites express significantly lower levels of var genes compared to 3D7, despite the fact that 3D7 was originally a clone of the NF54 strain. To investigate whether this was linked to the expression of sirtuins, genetic disruption of both sirtuins was attempted in all three strains. No dramatic changes in var gene expression occurred in NF54 or FCR-3 following PfSir2b disruption, contrasting with previous observations in 3D7. In 3D7, complementation of the PfSir2a genetic disruption resulted in a significant decrease in previously-elevated var gene expression levels, but with the continued expression of multiple var genes. Finally, rearranged chromosomes were observed in the 3D7 PfSir2a knockout line. Our results focus on the potential for parasite genetic background to contribute to sirtuin function in regulating virulence gene expression and suggest a potential role for sirtuins in maintaining genome integrity.

  20. Functional analysis of sirtuin genes in multiple Plasmodium falciparum strains. (United States)

    Merrick, Catherine J; Jiang, Rays H Y; Skillman, Kristen M; Samarakoon, Upeka; Moore, Rachel M; Dzikowski, Ron; Ferdig, Michael T; Duraisingh, Manoj T


    Plasmodium falciparum, the causative agent of severe human malaria, employs antigenic variation to avoid host immunity. Antigenic variation is achieved by transcriptional switching amongst polymorphic var genes, enforced by epigenetic modification of chromatin. The histone-modifying 'sirtuin' enzymes PfSir2a and PfSir2b have been implicated in this process. Disparate patterns of var expression have been reported in patient isolates as well as in cultured strains. We examined var expression in three commonly used laboratory strains (3D7, NF54 and FCR-3) in parallel. NF54 parasites express significantly lower levels of var genes compared to 3D7, despite the fact that 3D7 was originally a clone of the NF54 strain. To investigate whether this was linked to the expression of sirtuins, genetic disruption of both sirtuins was attempted in all three strains. No dramatic changes in var gene expression occurred in NF54 or FCR-3 following PfSir2b disruption, contrasting with previous observations in 3D7. In 3D7, complementation of the PfSir2a genetic disruption resulted in a significant decrease in previously-elevated var gene expression levels, but with the continued expression of multiple var genes. Finally, rearranged chromosomes were observed in the 3D7 PfSir2a knockout line. Our results focus on the potential for parasite genetic background to contribute to sirtuin function in regulating virulence gene expression and suggest a potential role for sirtuins in maintaining genome integrity.

  1. A robust independent component analysis (ICA) model for functional magnetic resonance imaging (fMRI) data (United States)

    Ao, Jingqi; Mitra, Sunanda; Liu, Zheng; Nutter, Brian


    The coupling of carefully designed experiments with proper analysis of functional magnetic resonance imaging (fMRI) data provides us with a powerful as well as noninvasive tool to help us understand cognitive processes associated with specific brain regions and hence could be used to detect abnormalities induced by a diseased state. The hypothesisdriven General Linear Model (GLM) and the data-driven Independent Component Analysis (ICA) model are the two most commonly used models for fMRI data analysis. A hybrid ICA-GLM model combines the two models to take advantages of benefits from both models to achieve more accurate mapping of the stimulus-induced activated brain regions. We propose a modified hybrid ICA-GLM model with probabilistic ICA that includes a noise model. In this modified hybrid model, a probabilistic principle component analysis (PPCA)-based component number estimation is used in the ICA stage to extract the intrinsic number of original time courses. In addition, frequency matching is introduced into the time course selection stage, along with temporal correlation, F-test based model fitting estimation, and time course combination, to produce a more accurate design matrix for GLM. A standard fMRI dataset is used to compare the results of applying GLM and the proposed hybrid ICA-GLM in generating activation maps.

  2. RASMOL AB - new functionalities in the program for structure analysis. (United States)

    Pikora, Mateusz; Gieldon, Artur


    For many years RasMol was one of the most used programs for molecular visualization. It was an excellent tool due to its simplicity and its low demand of computer power. Today it is replaced by OpenGL programs, which have excellent graphics that new computers can additionally handle. Molecular graphics is one of the best tools for the analysis of biomolecular data. With high efficiency and a low demand of computer power, RasMol can still be used as a quick and handy tool used for the analysis of biomolecular structures with good results. In this paper, we describe modifications to the RasMol program, as implemented on the base of RasMol AB 2. We introduced several new functions, namely: the identification of histidine isomers, and advanced structural selection and macro capabilities (as implemented in the point-click menu), which result in an increase in the speed and accuracy of structural analyses. The program can be downloaded from the project page:

  3. What Works Clearinghouse Quick Review of the Report "Exercise Improves Executive Function and Achievement and Alters Brain Activation in Overweight Children: A Randomized, Controlled Trial" (United States)

    What Works Clearinghouse, 2012


    The study examined whether exercise offered to sedentary, overweight children ages 7 to 11 improved executive function--defined as strategy execution when presented with a novel task--and academic performance in reading and math. The study authors analyzed data on about 170 students from Georgia who were recruited in five cohorts from 2003 to…

  4. The Effects of Contingent Praise Upon the Achievement of a Deficit Junior High School Student in Oral Reading Accuracy in Probes Above Her Functional Grade Level. (United States)

    Proe, Susan; Wade, David

    Evaluated was the effectiveness of three training procedures (imitation training, imitation training with praise, and imitation training with points for an art supply contingency) in improving the oral reading accuracy and reading comprehension of a 13-year-old girl whose functional reading was at the second grade level. The procedures were…

  5. Math Achievement, Numerical Processing, and Executive Functions in Girls with Turner Syndrome: Do Girls with Turner Syndrome Have Math Learning Disability? (United States)

    Mazzocco, Michele M. M.; Hanich, Laurie B.


    Turner syndrome is a common genetic disorder associated with select deficits in executive functions, working memory and mathematics. In Study 1, we examined growth trajectories of skills in these areas, from grades 1 to 6, among girls with or without Turner syndrome. Rates of growth and performance levels at 6th grade, on an untimed math…

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

    Energy Technology Data Exchange (ETDEWEB)

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


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

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

    Energy Technology Data Exchange (ETDEWEB)

    R. Youngblood


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

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

    Institute of Scientific and Technical Information of China (English)

    Hong-yong Wang; Zong-ben Xu


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

  9. Functional analysis of insect molting fluid proteins on the protection and regulation of ecdysis. (United States)

    Zhang, Jie; Lu, Anrui; Kong, Lulu; Zhang, Qiaoli; Ling, Erjun


    Molting fluid accumulates between the old and new cuticles during periodical ecdysis in Ecdysozoa. Natural defects in insect ecdysis are frequently associated with melanization (an immunity response) occurring primarily in molting fluids, suggesting that molting fluid may impact immunity as well as affect ecdysis. To address this hypothesis, proteomic analysis of molting fluids from Bombyx mori during three different types of ecdysis was performed. Many proteins were newly identified, including immunity-related proteins, in each molting fluid. Molting fluids inhibited the growth of bacteria in vitro. The entomopathogenic fungi Beauveria bassiana, which can escape immune responses in feeding larvae, is quickly recognized by larvae during ecdysis, followed by melanization in molting fluid and old cuticle. Fungal conidia germination was delayed, and no hyphae were detected in the hemocoels of pharate instar insects. Molting fluids protect the delicate pharate instar insects with extremely thin cuticles against microorganisms. To explore the function of molting fluids in ecdysis regulation, based on protein similarity, 32 genes were selected for analysis in ecdysis regulation through RNAi in Tribolium castaneum, a model commonly used to study integument development because RNAi is difficult to achieve in B. mori. We identified 24 molting proteins that affected ecdysis after knockdown, with different physiological functions, including old cuticle protein recycling, molting fluid pressure balance, detoxification, and signal detection and transfer of molting fluids. We report that insects secrete molting fluid for protection and regulation of ecdysis, which indicates a way to develop new pesticides through interrupting insect ecdysis in the future.

  10. Establishing RNA interference as a reverse-genetic approach for gene functional analysis in protoplasts. (United States)

    Zhai, Zhiyang; Sooksa-nguan, Thanwalee; Vatamaniuk, Olena K


    Double-stranded (ds)RNA interference (RNAi) is widely used for functional analysis of plant genes and is achieved via generating stable transformants expressing dsRNA in planta. This study demonstrated that RNAi can also be utilized to examine gene functions in protoplasts. Because protoplasts are nongrowing cells, effective RNAi-triggered gene silencing depends not only on a depletion of gene transcripts but also on turnover rates of corresponding polypeptides. Herein, we tested if transient RNAi in protoplasts would result in the depletion of a targeted polypeptide and, because protoplasts have a limited life span, if functional assays of RNAi knockout genes would be feasible in protoplasts. We showed that protoplasts transfection with an in vitro-synthesized dsRNA against Arabidopsis (Arabidopsis thaliana) beta-glutamylcysteine synthase (ECS1), a key enzyme in the synthesis of glutathione, resulted in a 95% depletion of ECS1 transcript, a 72% decrease of ECS1 polypeptide, and a 60% drop in glutathione content. These results were comparable with those obtained upon analysis of Arabidopsis seedlings bearing the cad2-1 mutant allele of ECS1. We also improved the procedure for RNAi inactivation of several genes simultaneously. Finally, because we isolated protoplasts from tissues of 14-d-old seedlings instead of 1-month-old mature plants, the described procedure is rapid (as it only takes 20 d from seed planting to functional studies), suitable for analyzing multiple genes in parallel, and independent of cloning dsRNAs into plant expression vectors. Therefore, RNAi in protoplasts complements existing genetic tools, as it allows rapid, cost- and space-efficient initial screening and selection of genes for subsequent in planta studies.

  11. Electronic Nose Functionality for Breath Gas Analysis during Parabolic Flight (United States)

    Dolch, Michael E.; Hummel, Thomas; Fetter, Viktor; Helwig, Andreas; Lenic, Joachim; Moukhamedieva, Lana; Tsarkow, Dimitrij; Chouker, Alexander; Schelling, Gustav


    The presence of humans in space represents a constant threat for their health and safety. Environmental factors such as living in a closed confinement, as well as exposure to microgravity and radiation, are associated with significant changes in bone metabolism, muscular atrophy, and altered immune response, which has impacts on human performance and possibly results in severe illness. Thus, maintaining and monitoring of crew health status has the highest priority to ensure whole mission success. With manned deep space missions to moon or mars appearing at the horizon where short-term repatriation back to earth is impossible the availability of appropriate diagnostic platforms for crew health status is urgently needed. In response to this need, the present experiment evaluated the functionality and practicability of a metal oxide based sensor system (eNose) together with a newly developed breath gas collecting device under the condition of altering acceleration. Parabolic flights were performed with an Airbus A300 ZeroG at Bordeaux, France. Ambient air and exhaled breath of five healthy volunteers was analyzed during steady state flight and parabolic flight maneuvres. All volunteers completed the study, the breath gas collecting device valves worked appropriately, and breathing through the collecting device was easy and did not induce discomfort. During breath gas measurements, significant changes in metal oxide sensors, mainly sensitive to aromatic and sulphur containing compounds, were observed with alternating conditions of acceleration. Similarly, metal oxide sensors showed significant changes in all sensors during ambient air measurements. The eNose as well as the newly developed breath gas collecting device, showed appropriate functionality and practicability during alternating conditions of acceleration which is a prerequisite for the intended use of the eNose aboard the International Space Station (ISS) for breath gas analysis and crew health status

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

    Energy Technology Data Exchange (ETDEWEB)

    Serres, Margrethe H.


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

  13. Android系统下的手机自启动实现%Android mobile phone to achieve the alarm function in power off

    Institute of Scientific and Technical Information of China (English)

    刘彬; 杨文晖


    With the popularity of mobile phones, Android system as the mainstream of the smartphone is more popular.While more diverse functions bring convenience to communicate with each other, sometimes we have to choose to turn it off. It brings the demand of the mobile phone automatically start. Automatic start, on the other hand, relates to the mobile phone alarm clock function.But in the market I found many cell phone does not have the function that start automatically.In addition, open-source Android platform has the advantage of low cost and is bound to get more and more attention of mobile phone manufacturers and developers.%随着手机的普及,Android系统作为智能手机的主流系统越加普及。同时智能手机越加多样的功能给相互通信带来方便性的同时,有时不得不选择关机,这也带来了手机自动启动的需求。而另一方面,自动启动关系到手机闹钟功能。但在市场上,发现许多手机并不具备自动启动的功能。此外,开源的Android平台有着低成本的优势,必然会越来越受到手机厂商和开发者的关注。

  14. Analysis of Women Competitive Sports Achievements in New China%新中国女性竞技体育成绩发展轨迹的探析

    Institute of Scientific and Technical Information of China (English)



    采用文献资料法等探讨新中国女性竞技运动成绩的发展轨迹。根据新中国社会的发展以及我国竞技体育发展情况,本研究主要从4个不同时期对我国女性竞技体育的运动成绩进行分析,发现中国女性竞技体育成绩的获得与社会环境有着密切的关系,这在一定程度上反映了社会主义初级阶段发展条件下中国女性竞技体育发展的规律性。%By the method of literature study,the article focuses on the development of women competitive sports after the founding of the People's Republic of China.According to the development of society and competitive sports in China,the article makes an analysis of the women competitive sports achievements in China in four different stages.It is discovered that Chinese women competitive sports achievements are closely related to social environment.To some extent,this is the development law of Chinese women competitive sports in the environment of the primary stage of socialism.

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

    CERN Document Server

    Lin, Chen-Yun; Wu, Hau-tieng


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

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

    NARCIS (Netherlands)

    Beek, van I.J.M.


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


    Directory of Open Access Journals (Sweden)

    Bogdan Tatiana


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

  18. Rhythm Analysis by Heartbeat Classification in the Electrocardiogram (Review article of the research achievements of the members of the Centre of Biomedical Engineering, Bulgarian Academy of Sciences

    Directory of Open Access Journals (Sweden)

    Irena Jekova


    Full Text Available The morphological and rhythm analysis of the electrocardiogram (ECG is based on ventricular beats detection, wave parameters measurement, as amplitudes, widths, polarities, intervals and relations between them, and a subsequent classification supporting the diagnostic process. Number of algorithms for detection and classification of the QRS complexes have been developed by researchers in the Centre of Biomedical Engineering - Bulgarian Academy of Sciences, and are reviewed in this material. Combined criteria have been introduced dealing with the QRS areas and amplitudes, the waveshapes evaluated by steep slopes and sharp peaks, vectorcardiographic (VCG loop descriptors, RR intervals irregularities. Algorithms have been designed for application on a single ECG lead, a synthesized lead derived by multichannel synchronous recordings, or simultaneous multilead analysis. Some approaches are based on templates matching, cross-correlation or rely on a continuous updating of adaptive thresholds. Various beat classification methods have been designed involving discriminant analysis, the K-th nearest neighbors, fuzzy sets, genetic algorithms, neural networks, etc. The efficiency of the developed methods has been assessed using internationally recognized arrhythmia ECG databases with annotated beats and rhythm disturbances. In general, high values for specificity and sensitivity competitive to those reported in the literature have been achieved.

  19. Achieving high performance electric field induced strain: a rational design of hyperbranched aromatic polyamide functionalized graphene-polyurethane dielectric elastomer composites. (United States)

    Chen, Tian; Qiu, Jinhao; Zhu, Kongjun; Li, Jinhuan; Wang, Jingwen; Li, Shuqin; Wang, Xiaoliang


    Dielectric elastomers have great potentials as flexible actuators in micro-electromechanical systems (MEMS) due to their large deformation, light weight, mechanical compliancy, and low cost. The low dielectric constant of these elastomers requires a rather high voltage electric field, which has greatly limited their applications. In this work, a diaphragm-type flexible microactuator comprising a hyperbranched aromatic polyamide functionalized graphene (HAPFG) filler embedded into the polyurethane (PU) dielectric elastomer matrix is described. The rational designed HAPFG sheets exhibits uniform dispersion in PU matrix and strong adhesion with the matrix by hydrogen-bond coupling. Consequently, the HAPFG-PU composites possess high dielectric performance and low loss modulus. The effect of hyperbranched aromatic polyamide functionalized graphene on high voltage electric field induced strain was experimentally investigated using the Fotonic sensor. The high electric field response of the composite was discussed by applying different kinds of alternating-current field. In addition, a comparison of the breakdown strength between the HAPFG-PU composite and the pure PU was carried out.

  20. Neutron activation analysis of the 30Si content of highly enriched 28Si: proof of concept and estimation of the achievable uncertainty

    CERN Document Server

    D'Agostino, Giancarlo; Oddone, Massimo; Prata, Michele; Bergamaschi, Luigi; Giordani, Laura


    We investigated the use of neutron activation to estimate the 30Si mole fraction of the ultra-pure silicon material highly enriched in 28Si for the measurement of the Avogadro constant. Specifically, we developed a relative method based on Instrumental Neutron Activation Analysis and using a natural-Si sample as a standard. To evaluate the achievable uncertainty, we irradiated a 6 g sample of a natural-Si material and modeled experimentally the signal that would be produced by a sample of the 28Si-enriched material of similar mass and subjected to the same measurement conditions. The extrapolation of the expected uncertainty from the experimental data indicates that a measurement of the 30Si mole fraction of the 28Si-enriched material might reach a 4% relative combined standard uncertainty.

  1. Flux Analysis Uncovers Key Role of Functional Redundancy in Formaldehyde Metabolism


    Christopher J Marx; Van Dien, Stephen J.; Mary E Lidstrom


    Genome-scale analysis of predicted metabolic pathways has revealed the common occurrence of apparent redundancy for specific functional units, or metabolic modules. In many cases, mutation analysis does not resolve function, and instead, direct experimental analysis of metabolic flux under changing conditions is necessary. In order to use genome sequences to build models of cellular function, it is important to define function for such apparently redundant systems. Here we describe direct flu...

  2. Exploring functional data analysis and wavelet principal component analysis on ecstasy (MDMA wastewater data

    Directory of Open Access Journals (Sweden)

    Stefania Salvatore


    Full Text Available Abstract Background Wastewater-based epidemiology (WBE is a novel approach in drug use epidemiology which aims to monitor the extent of use of various drugs in a community. In this study, we investigate functional principal component analysis (FPCA as a tool for analysing WBE data and compare it to traditional principal component analysis (PCA and to wavelet principal component analysis (WPCA which is more flexible temporally. Methods We analysed temporal wastewater data from 42 European cities collected daily over one week in March 2013. The main temporal features of ecstasy (MDMA were extracted using FPCA using both Fourier and B-spline basis functions with three different smoothing parameters, along with PCA and WPCA with different mother wavelets and shrinkage rules. The stability of FPCA was explored through bootstrapping and analysis of sensitivity to missing data. Results The first three principal components (PCs, functional principal components (FPCs and wavelet principal components (WPCs explained 87.5-99.6 % of the temporal variation between cities, depending on the choice of basis and smoothing. The extracted temporal features from PCA, FPCA and WPCA were consistent. FPCA using Fourier basis and common-optimal smoothing was the most stable and least sensitive to missing data. Conclusion FPCA is a flexible and analytically tractable method for analysing temporal changes in wastewater data, and is robust to missing data. WPCA did not reveal any rapid temporal changes in the data not captured by FPCA. Overall the results suggest FPCA with Fourier basis functions and common-optimal smoothing parameter as the most accurate approach when analysing WBE data.

  3. Recognizing outstanding achievements (United States)

    Speiss, Fred

    One function of any professional society is to provide an objective, informed means for recognizing outstanding achievements in its field. In AGU's Ocean Sciences section we have a variety of means for carrying out this duty. They include recognition of outstanding student presentations at our meetings, dedication of special sessions, nomination of individuals to be fellows of the Union, invitations to present Sverdrup lectures, and recommendations for Macelwane Medals, the Ocean Sciences Award, and the Ewing Medal.Since the decision to bestow these awards requires initiative and judgement by members of our section in addition to a deserving individual, it seems appropriate to review the selection process for each and to urge you to identify those deserving of recognition.

  4. An efficient RNA interference screening strategy for gene functional analysis

    Directory of Open Access Journals (Sweden)

    Chang Chih-Hung


    Full Text Available Abstract Background RNA interference (RNAi is commonly applied in genome-scale gene functional screens. However, a one-on-one RNAi analysis that targets each gene is cost-ineffective and laborious. Previous studies have indicated that siRNAs can also affect RNAs that are near-perfectly complementary, and this phenomenon has been termed an off-target effect. This phenomenon implies that it is possible to silence several genes simultaneously with a carefully designed siRNA. Results We propose a strategy that is combined with a heuristic algorithm to design suitable siRNAs that can target multiple genes and a group testing method that would reduce the number of required RNAi experiments in a large-scale RNAi analysis. To verify the efficacy of our strategy, we used the Orchid expressed sequence tag data as a case study to screen the putative transcription factors that are involved in plant disease responses. According to our computation, 94 qualified siRNAs were sufficient to examine all of the predicated 229 transcription factors. In addition, among the 94 computer-designed siRNAs, an siRNA that targets both TF15 (a previously identified transcription factor that is involved in the plant disease-response pathway and TF21 was introduced into orchids. The experimental results showed that this siRNA can simultaneously silence TF15 and TF21, and application of our strategy successfully confirmed that TF15 is involved in plant defense responses. Interestingly, our second-round analysis, which used an siRNA specific to TF21, indicated that TF21 is a previously unidentified transcription factor that is related to plant defense responses. Conclusions Our computational results showed that it is possible to screen all genes with fewer experiments than would be required for the traditional one-on-one RNAi screening. We also verified that our strategy is capable of identifying genes that are involved in a specific phenotype.

  5. A Mathematical Modeling Framework for Analysis of Functional Clothing

    Directory of Open Access Journals (Sweden)

    Xiaolin Man


    Full Text Available In the analysis and design of functional clothing systems, it is helpful to quantify the effects of a system on a wearer’s physical performance capabilities. Toward this end, a clothing modeling framework for quantifying the mechanical interactions between a given clothing system design and a specific wearer performing defined physical tasks is proposed. The modeling framework consists of three interacting modules: (1 a macroscale fabric mechanics/dynamics model; (2 a collision detection and contact correction module; and (3 a human motion module. In the proposed framework, the macroscopic fabric model is based on a rigorous large deformation continuum-degenerated shell theory representation. Material models that capture the stress-strain behavior of different clothing fabrics are used in the continuum shell framework. The collision and contact module enforces the impenetrability constraint between the fabric and human body and computes the associated contact forces between the two. The human body is represented in the current framework as an assemblage of overlapping ellipsoids that undergo rigid body motions consistent with human motions while performing actions such as walking, running, or jumping. The transient rigid body motions of each ellipsoidal body segment in time are determined using motion capture technology. The integrated modeling framework is then exercised to quantify the resistance that the clothing exerts on the wearer during the specific activities under consideration. Current results from the framework are presented and its intended applications are discussed along with some of the key challenges remaining in clothing system modeling.

  6. Cotton dust exposure: Analysis of pulmonary function and respiratory symptoms

    Directory of Open Access Journals (Sweden)

    Bharat M Dangi


    Full Text Available Background: Cotton industry workers are exposed to various hazards in the different departments of textile factories. The major health problems associated with cotton dust are respiratory problems, byssinosis, bronchitis and asthma. Objective: To study the effect of cotton dust exposure on pulmonary function and respiratory symptoms. Settings and Design: This cross-sectional observational study was conducted at cotton mill in the Ahmedabad city. Materials and Methods: One hundred cotton mill workers of the weaving and spinning area participated in this study while 100 age- and gender-matched male subjects living in the residential area served as the control group. A questionnaire was used to inquire about respiratory symptoms and spirometry was done in both the groups. Statistical Analysis Used: Student's t-test was used to find the difference between spirometric parameters, and Chi-square test was used to find the difference between respiratory symptoms. Results: Respiratory symptoms were statistically significantly more common in the cotton mill workers compared to control group. Cotton mill workers group also showed significant (P < 0.0001 decrease in forced expiratory volume in 1 s (FEV1, ratio of FEV1 and forced vital capacity (FVC and peak expiratory flow rate, and no significant difference of FVC between groups. There was an association of duration of exposure and symptoms with spirometric abnormality. Conclusion: Cotton mill workers showed a significant decrease in spirometric parameters and increase in respiratory symptoms. As the duration of exposure and symptoms increased, spirometric abnormality increased.

  7. [Development of Fluorescence Sensing Mechanism for Cell Functional Analysis]. (United States)

    Ojida, Akio; Takashima, Ippei


      Fluorescence probes are now widely used as indispensable tools in many cell functional analyses. At present, the design of fluorescent probes largely depends on the limited numbers of established sensing mechanisms such as photo-induced electron transfer (PET), photo-induced charge transfer (PCT), and fluorescence resonance energy transfer (FRET). Although these mechanisms are versatile in metal ion sensing, introduction of a new sensing mechanism is highly desirable not only to design a more sophisticated probe with high selectivity and sensitivity but also to expand the diversity of the sensing targets to unveil biological phenomena. In this article, we report the design of dual emission fluorescent probes for metal ions based on a unique fluorescence-sensing mechanism. The fluorescent probes incorporating this sensing mechanism displayed a large emission red-shift on complexation with metal ions such as Cd(II) and Ag(I). X-ray crystallography and theoretical computational calculations of the Cd(II) and Ag(I) complexes revealed that the emission shift was induced by non-coordination contact between the aromatic ring of fluorophore and the metal ion (arene-metal ion contact; AM-contact), which modulates the energy levels of molecular orbitals. The fluorescent probe was successfully applied to in cell ratiometric bioimaging of bioactive hydrogen sulfide (H2S). These successful applications highlight the usefulness of this sensing mechanism in biological fluorescence analysis.

  8. Organizational behaviour management: A functional analysis of productivity

    Directory of Open Access Journals (Sweden)

    P. Taffinder


    Full Text Available Organizational Behaviour Management (OBM represents a new perspective on productivity. In place of addressing "attitudes and motivational drives", OBM concentrates on the control of on-task behaviour. The 3-term contingency of antecedent, behaviour and consequence, or the functional analysis of behaviour as it is known in OBM, provides a delineation of how behaviour is evoked and what maintains or reinforces it. This orientation to productivity requires that the manager establish a contingent relationship between on task behaviour and reinforcing consequence. The reinforcing consequences may be social as well as financial. The effectiveness of OBM resides in its focus on the essential element of human productivity namely, directed behaviour. Opsomming Bestuur van Organisasiegerigte Gedrag (BOG of Organisational Behaviour Management (OBM verteenwoordig 'n nuwe uitkyk op die konsep van produktiwiteit daar dit nie soseer op "houdings" of'motiveringsdrange" konsentreer nie as op die beheer van taakgerigte gedrag. Die kontingensie van antesedent-gedrag-gevolg, of die funksionele analise van gedrag soos wat dit bekend staan in BOG, bied 'n uiteensetting van hoe gedrag ontstaan en hoe dit versterk ofvoortgesit word. Hierdie benadering tot produktiwiteit vereis van die bestuur om 'n kontingente verhouding te skep tussen taakgerigte gedrag en versterkende gevolge. Hierdie gevolge mag van sosiale of finansiele aard wees. Die doeltreffendheid van BOG berus op die sentrale veronderstelling dat gedrag ordelik is en op die fokus wat dit plaas op die kritieke element van menslike produktiwiteit, naamlik gerigte gedrag.

  9. Functional analysis and expression characteristics of chloroplastic Prx IIE. (United States)

    Gama, Filipe; Bréhélin, Claire; Gelhaye, Eric; Meyer, Yves; Jacquot, Jean-Pierre; Rey, Pascal; Rouhier, Nicolas


    Peroxiredoxins (Prxs) are ubiquitous thiol-dependent peroxidases capable of eliminating a variety of peroxides through reactive catalytic cysteines, which are regenerated by reducing systems. Based on amino acid sequences and their mode of catalysis, five groups of thiol peroxidases have been distinguished in plants, and type II Prx is one of them with representatives in many sub-cellular compartments. The mature form of poplar chloroplastic Prx IIE was expressed as a recombinant protein in Escherichia coli. The protein is able to reduce H2O2 and tert-butyl hydroperoxide and is regenerated by both glutaredoxin (Grx) and thioredoxin (Trx) systems. Nevertheless, compared with Trxs, Grxs, and more especially chloroplastic Grx S12, are far more efficient reductants towards Prx IIE. The expression of Prx IIE at both the mRNA and protein levels as a function of organ type and abiotic stress conditions was investigated. Western blot analysis revealed that Prx IIE gene is constitutively expressed in Arabidopsis thaliana, mostly in young and mature leaves and in flowers. Under photo-oxidative treatment and water deficit, almost no change was observed in the abundance of Prx IIE in A. thaliana, while the level of Prx Q (one of the two other chloroplastic Prxs with 2-Cys Prx) increased in response to both stresses, indicating that plastidic members of the Prx family exhibit specific patterns of expression under stress.

  10. Computational Interpretations of Analysis via Products of Selection Functions (United States)

    Escardó, Martín; Oliva, Paulo

    We show that the computational interpretation of full comprehension via two well-known functional interpretations (dialectica and modified realizability) corresponds to two closely related infinite products of selection functions.

  11. Functional Analysis for an Integrated Capability of Arrival/Departure/Surface Management with Tactical Runway Management (United States)

    Phojanamongkolkij, Nipa; Okuniek, Nikolai; Lohr, Gary W.; Schaper, Meilin; Christoffels, Lothar; Latorella, Kara A.


    The runway is a critical resource of any air transport system. It is used for arrivals, departures, and for taxiing aircraft and is universally acknowledged as a constraining factor to capacity for both surface and airspace operations. It follows that investigation of the effective use of runways, both in terms of selection and assignment as well as the timing and sequencing of the traffic is paramount to the efficient traffic flows. Both the German Aerospace Center (DLR) and NASA have developed concepts and tools to improve atomic aspects of coordinated arrival/departure/surface management operations and runway configuration management. In December 2012, NASA entered into a Collaborative Agreement with DLR. Four collaborative work areas were identified, one of which is called "Runway Management." As part of collaborative research in the "Runway Management" area, which is conducted with the DLR Institute of Flight Guidance, located in Braunschweig, the goal is to develop an integrated system comprised of the three DLR tools - arrival, departure, and surface management (collectively referred to as A/D/S-MAN) - and NASA's tactical runway configuration management (TRCM) tool. To achieve this goal, it is critical to prepare a concept of operations (ConOps) detailing how the NASA runway management and DLR arrival, departure, and surface management tools will function together to the benefit of each. To assist with the preparation of the ConOps, the integrated NASA and DLR tools are assessed through a functional analysis method described in this report. The report first provides the highlevel operational environments for air traffic management (ATM) in Germany and in the U.S., and the descriptions of the DLR's A/D/S-MAN and NASA's TRCM tools at the level of details necessary to compliment the purpose of the study. Functional analyses of each tool and a completed functional analysis of an integrated system design are presented next in the report. Future efforts to fully

  12. Leader as achiever. (United States)

    Dienemann, Jacqueline


    This article examines one outcome of leadership: productive achievement. Without achievement one is judged to not truly be a leader. Thus, the ideal leader must be a visionary, a critical thinker, an expert, a communicator, a mentor, and an achiever of organizational goals. This article explores the organizational context that supports achievement, measures of quality nursing care, fiscal accountability, leadership development, rewards and punishments, and the educational content and teaching strategies to prepare graduates to be achievers.

  13. Real analysis for the undergraduate with an invitation to functional analysis

    CERN Document Server

    Pons, Matthew A


    This undergraduate textbook introduces students to the basics of real analysis, provides an introduction to more advanced topics including measure theory and Lebesgue integration, and offers an invitation to functional analysis. While these advanced topics are not typically encountered until graduate study, the text is designed for the beginner. The author’s engaging style makes advanced topics approachable without sacrificing rigor. The text also consistently encourages the reader to pick up a pencil and take an active part in the learning process. Key features include: - examples to reinforce theory; - thorough explanations preceding definitions, theorems and formal proofs; - illustrations to support intuition; - over 450 exercises designed to develop connections between the concrete and abstract. This text takes students on a journey through the basics of real analysis and provides those who wish to delve deeper the opportunity to experience mathematical ideas that are beyond the standard undergraduate c...

  14. Stability analysis of impulsive functional systems of fractional order (United States)

    Stamova, Ivanka; Stamov, Gani


    In this paper, a class of impulsive fractional functional differential systems is investigated. Sufficient conditions for stability of the zero solution are proved, extending the corresponding theory of impulsive functional differential equations. The investigations are carried out by using the comparison principle, coupled with the Lyapunov function method. We apply our results to an impulsive single species model of Lotka-Volterra type.

  15. Functional Analysis of Polyphenol Oxidases by Antisense/Sense Technology

    Directory of Open Access Journals (Sweden)

    Jutharat Attajarusit


    overexpressing PPO, suggesting that PPO may have a role in the development of plant water stress and potential for photoinhibition and photooxidative damage that may be unrelated to any effects on the Mehler reaction. These results substantiate the defensive role of PPO and suggest that manipulation of PPO activity in specific tissues has the potential to provide broad-spectrum resistance simultaneously to both disease and insect pests, however, effects of PPO on postharvest quality as well as water stress physiology should also be considered. In addition to the functional analysis of tomato PPO, the application of antisense/sense technology to decipher the functions of PPO in other plant species as well as for commercial uses are discussed.

  16. Coupled-cluster Green's function: Analysis of properties originating in the exponential parametrization of the ground-state wave function (United States)

    Peng, Bo; Kowalski, Karol


    In this paper we derive basic properties of the Green's-function matrix elements stemming from the exponential coupled-cluster (CC) parametrization of the ground-state wave function. We demonstrate that all intermediates used to express the retarded (or, equivalently, ionized) part of the Green's function in the ω representation can be expressed only through connected diagrams. Similar properties are also shared by the first-order ω derivative of the retarded part of the CC Green's function. Moreover, the first-order ω derivative of the CC Green's function can be evaluated analytically. This result can be generalized to any order of ω derivatives. Through the Dyson equation, derivatives of the corresponding CC self-energy operator can be evaluated analytically. In analogy to the CC Green's function, the corresponding CC self-energy operator can be represented by connected terms. Our analysis can easily be generalized to the advanced part of the CC Green's function.

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

    Directory of Open Access Journals (Sweden)

    Roxanne M. Mitchell


    Full Text Available This study tested the effects of the principal’s professional orientation towards leadership/enabling school structure (ESS on two mediating variables, school academic optimism (SAO and professional teacher behavior (PTB, on the outcome variable school reading achievement (RA. Data were drawn from a sample of 54 schools (including 45 elementary schools and nine middle schools; the school was the unit of analysis. Data analysis supported a path to RA in which a structural variable, ESS was the immediate antecedent of SAO and PTB. Two control variables, school level and SES, were included in the model. SES had a significant effect on SAO but not on PTB. School level had a negative effect on both PTB and SAO suggesting that both variables were higher in elementary school and declined in middle school. SES paired with SAO in predicting RA. As expected, SAO had a greater effect on RA than SES. The significance of the findings lies in the confirmation of SAO as an important influence on RA and in demonstrating the importance of ESS in establishing a context in which AO and PTB can flourish.

  18. Functional proteomic analysis of Ankaferd® Blood Stopper

    Directory of Open Access Journals (Sweden)

    Duygu Özel Demiralp


    Full Text Available Objective: Ankaferd® Blood Stopper (ABS comprises a standardized mixture of the plants Thymus vulgaris, Glycyrrhiza glabra, Vitis vinifera, Alpinia officinarum, and Urtica dioica. The basic mechanism of action for ABS is the formation of an encapsulated protein network that provides focal points for vital erythrocyte aggregation. ABS–induced protein network formation with blood cells, particularly erythrocytes, covers the primary and secondary hemostatic system without disturbing individual coagulation factors. Materials and Methods: To understand the effect mechanisms of ABS on hemostasis, a proteomic analysis using 2D gel electrophoresis and mass spectrometer was performed. Results: Proteins of plant origin in Ankaferd® were NADP-dependent-malic enzyme, ribulose bisphosphate-carboxylase-large chain, maturase K, ATP synthase subunit-beta, ATP synthase subunit-alpha, chalcone-flavanone isomerase-1, chalcone-flavanone isomerase-2, and actin-depolymerizing factor. Furthermore, functional proteomic studies revealed that proteins resembling human peptides have been detected within Ankaferd®, including ATP synthase, mucin-16 (CD164 sialomucin-like 2 protein, coiled-coil domain containing 141 hypothetical protein LOC283638 isoform 1, hypothetical protein LOC283638 isoform 2, dynactin 5, complex I intermediate-associated protein 30, mitochondrial, NADH dehydrogenase (ubiquinone 1 alpha subcomplex, TP synthase, H+ transporting, mitochondrial actin binding 1 isoform, LIM domain and actin binding 1 isoform a, LIM domain and actin binding 1 isoform b, spectrin alpha non erythrocytic 1, prolactin releasing hormone receptor, utrophin, tet oncogene family member 2 isoform b, protein phosphatase 1 regulatory subunit 12A, NIMA (never in mitosis gene a-related kinase, ATP-binding cassette protein C12, Homo sapiens malic enzyme 1, mitochondrial NADP(+-dependent malic enzyme 3, ME2 protein, nuclear factor 1 B-type, abhydrolase domain-containing protein 12B, E

  19. Modification of the anabaseine pyridine nucleus allows achieving binding and functional selectivity for the α3β4 nicotinic acetylcholine receptor subtype. (United States)

    Matera, Carlo; Quadri, Marta; Sciaccaluga, Miriam; Pomè, Diego Yuri; Fasoli, Francesca; De Amici, Marco; Fucile, Sergio; Gotti, Cecilia; Dallanoce, Clelia; Grazioso, Giovanni


    We report the design, synthesis and pharmacological screening of a group of analogues of anabaseine 2, a naturally occurring unselective nicotinic agonist. The novel nAChR ligands 5-15 were planned following a molecular modeling analysis which suggested the replacement of the pyridine ring of 2 with a 3-substituted benzene ring as a means to gain selectivity for the α3β4 nAChR subtype. Overall, from binding experiments, the synthesized compounds showed high values of α3β4 affinity and α3β4 vs α4β2 selectivity, although they poorly discriminated the homomeric α7 subtype. The three analogues 6, 12 and 13 were also evaluated in electrophysiological assays, and 12 [6-(3-iodophenyl)-2,3,4,5-tetrahydropyridine] emerged as a rather interesting nicotinic ligand. Indeed, in addition to a noteworthy affinity (Ki = 4.7 nM) for the α3β4 subtype and to an excellent α3β4 vs α4β2 subtype selectivity (806-fold), compound 12 selectively activated the α3β4 nAChR (EC50 = 7.4 μM) while eliciting a negligible response at the α7 subtype and no effect at the α4β2 subtype.

  20. Disconnection and hyper-connectivity underlie reorganization after TBI: A rodent functional connectomic analysis. (United States)

    Harris, N G; Verley, D R; Gutman, B A; Thompson, P M; Yeh, H J; Brown, J A


    While past neuroimaging methods have contributed greatly to our understanding of brain function after traumatic brain injury (TBI), resting state functional MRI (rsfMRI) connectivity methods have more recently provided a far more unbiased approach with which to monitor brain circuitry compared to task-based approaches. However, current knowledge on the physiologic underpinnings of the correlated blood oxygen level dependent signal, and how changes in functional connectivity relate to reorganizational processes that occur following injury is limited. The degree and extent of this relationship remain to be determined in order that rsfMRI methods can be fully adapted for determining the optimal timing and type of rehabilitative interventions that can be used post-TBI to achieve the best outcome. Very few rsfMRI studies exist after experimental TBI and therefore we chose to acquire rsfMRI data before and at 7, 14 and 28 days after experimental TBI using a well-known, clinically-relevant, unilateral controlled cortical impact injury (CCI) adult rat model of TBI. This model was chosen since it has widespread axonal injury, a well-defined time-course of reorganization including spine, dendrite, axonal and cortical map changes, as well as spontaneous recovery of sensorimotor function by 28 d post-injury from which to interpret alterations in functional connectivity. Data were co-registered to a parcellated rat template to generate adjacency matrices for network analysis by graph theory. Making no assumptions about direction of change, we used two-tailed statistical analysis over multiple brain regions in a data-driven approach to access global and regional changes in network topology in order to assess brain connectivity in an unbiased way. Our main hypothesis was that deficits in functional connectivity would become apparent in regions known to be structurally altered or deficient in axonal connectivity in this model. The data show the loss of functional connectivity