Michou, Aikaterini; Vansteenkiste, Maarten; Mouratidis, Athanasios; Lens, Willy
2014-12-01
The hierarchical model of achievement motivation presumes that achievement goals channel the achievement motives of need for achievement and fear of failure towards motivational outcomes. Yet, less is known whether autonomous and controlling reasons underlying the pursuit of achievement goals can serve as additional pathways between achievement motives and outcomes. We tested whether mastery approach, performance approach, and performance avoidance goals and their underlying autonomous and controlling reasons would jointly explain the relation between achievement motives (i.e., fear of failure and need for achievement) and learning strategies (Study 1). Additionally, we examined whether the autonomous and controlling reasons underlying learners' dominant achievement goal would account for the link between achievement motives and the educational outcomes of learning strategies and cheating (Study 2). Six hundred and six Greek adolescent students (Mage = 15.05, SD = 1.43) and 435 university students (Mage M = 20.51, SD = 2.80) participated in studies 1 and 2, respectively. In both studies, a correlational design was used and the hypotheses were tested via path modelling. Autonomous and controlling reasons underlying the pursuit of achievement goals mediated, respectively, the relation of need for achievement and fear of failure to aspects of learning outcomes. Autonomous and controlling reasons underlying achievement goals could further explain learners' functioning in achievement settings. © 2014 The British Psychological Society.
Effects of collaboration and inquiry on reasoning and achievement in biology
NASA Astrophysics Data System (ADS)
Jensen, Jamie Lee
The primary purpose of the present study was to compare the effectiveness of two collaborative grouping strategies and two instructional methods in terms of gains in reasoning ability and achievement in college biology. In order to do so, a quasi-experimental study was performed in which students were placed in one of four treatment conditions: heterogeneous grouping within inquiry instruction, homogeneous grouping within inquiry instruction, heterogeneous grouping within non-inquiry instruction, and homogeneous grouping within non-inquiry instruction. Students were placed in groups based on initial reasoning level. Reasoning levels and achievement gains were assessed at the end of the study. Results showed that within non-inquiry instruction, heterogeneous mean group scores were higher in both reasoning and achievement than homogeneous groups. In contrast, within inquiry instruction, homogeneous mean group scores were higher in both reasoning and achievement. Inquiry instruction, as a whole, significantly outperformed non-inquiry instruction in the development of reasoning ability. Within inquiry instruction, low-ability students had significantly greater reasoning gains when grouped homogeneously. These results support Piaget's developmental theory and contradict Vygotsky's developmental theory. These results also suggest that the success of one grouping strategy over another is highly dependent upon the nature of instruction, which may be a cause for such conflicting views on grouping strategies within the educational literature. In addition, inquiry instruction led to students having greater confidence in their reasoning ability as well as a more positive attitude toward collaboration. Instructional implications are discussed.
Achievement, attributions, self-efficacy, and goal setting by accounting undergraduates.
Cheng, Pi-Yueh; Chiou, Wen-Bin
2010-02-01
Correlations were examined between two measures of accounting self-efficacy achievement goal setting, attributions, and scores on the Accounting Practice Achievement Test, obtained 1 yr. apart for 124 freshmen in junior college. Analysis indicated favorable attribution contributed to a higher mean score on accounting self-efficacy. Students with higher perceived self-efficacy performed better on the proficiency tests. Those with higher self-efficacy also set higher goals for subsequent achievement tests. Moreover, students who set higher achievement goals performed better. Goal setting mediated the relation of initial self-efficacy with subsequent test performance. However, the amount of variance accounted for by self-efficacy was small. An effective method for enhancing performance on an accounting achievement test might be to increase beneficial attributions, self-efficacy in accounting, and to encourage setting reasonable achievement goals.
NASA Astrophysics Data System (ADS)
Lowrie, Tom; Jorgensen, Robyn
2018-03-01
Since the early 70s, there has been recognition that there are specific differences in achievement based on variables, such as gender and socio-economic background, in terms of mathematics performance. However, these differences are not unilateral but rather quite specific and relate strongly to spatial reasoning. This early work has paved the way for thinking critically about who achieves in mathematics and why. This project innovatively combines the strengths of the two Chief Investigators—Lowrie's work in spatial reasoning and Jorgensen's work in equity. The assumptions, the approach and theoretical framing used in the study unite quite disparate areas of mathematics education into a cogent research program that seeks to challenge some of the long-held views in the field of mathematics education.
The Impact of Participation in Music on Learning Mathematics
ERIC Educational Resources Information Center
Holmes, Sylwia; Hallam, Susan
2017-01-01
Music psychologists have established that some forms of musical activity improve intellectual performance, spatial-temporal reasoning and other skills advantageous for learning. In this research, the potential of active music-making for improving pupils' achievement in spatial- temporal reasoning was investigated. As spatial-temporal skills are…
Vansteenkiste, Maarten; Mouratidis, Athanasios; Lens, Willy
2010-04-01
In two cross-sectional studies we investigated whether soccer players' well-being (Study 1) and moral functioning (Studies 1 and 2) is related to performance-approach goals and to the autonomous and controlling reasons underlying their pursuit. In support of our hypotheses, we found in Study 1 that autonomous reasons were positively associated with vitality and positive affect, whereas controlling reasons were positively related to negative affect and mostly unrelated to indicators of morality. To investigate the lack of systematic association with moral outcomes, we explored in Study 2 whether performance-approach goals or their underlying reasons would yield an indirect relation to moral outcomes through their association with players' objectifying attitude-their tendency to depersonalize their opponents. Structural equation modeling showed that controlling reasons for performance-approach goals were positively associated with an objectifying attitude, which in turn was positively associated to unfair functioning. Results are discussed within the achievement goal perspective (Elliot, 2005) and self-determination theory (Deci & Ryan, 2000).
The Conceptual Framework for the Development of a Mathematics Performance Assessment Instrument.
ERIC Educational Resources Information Center
Lane, Suzanne
1993-01-01
A conceptual framework is presented for the development of the Quantitative Understanding: Amplifying Student Achievement and Reasoning (QUASAR) Cognitive Assessment Instrument (QCAI) that focuses on the ability of middle-school students to problem solve, reason, and communicate mathematically. The instrument will provide programatic rather than…
Lebedev, Alexander V; Nilsson, Jonna; Lövdén, Martin
2018-07-01
Researchers have proposed that solving complex reasoning problems, a key indicator of fluid intelligence, involves the same cognitive processes as solving working memory tasks. This proposal is supported by an overlap of the functional brain activations associated with the two types of tasks and by high correlations between interindividual differences in performance. We replicated these findings in 53 older participants but also showed that solving reasoning and working memory problems benefits from different configurations of the functional connectome and that this dissimilarity increases with a higher difficulty load. Specifically, superior performance in a typical working memory paradigm ( n-back) was associated with upregulation of modularity (increased between-network segregation), whereas performance in the reasoning task was associated with effective downregulation of modularity. We also showed that working memory training promotes task-invariant increases in modularity. Because superior reasoning performance is associated with downregulation of modular dynamics, training may thus have fostered an inefficient way of solving the reasoning tasks. This could help explain why working memory training does little to promote complex reasoning performance. The study concludes that complex reasoning abilities cannot be reduced to working memory and suggests the need to reconsider the feasibility of using working memory training interventions to attempt to achieve effects that transfer to broader cognition.
A clinically guided approach for improving performance measurement for hypertension.
Steinman, Michael A; Lee, Sei J; Peterson, Carolyn A; Fung, Kathy Z; Goldstein, Mary K
2012-05-01
Performance measures often fail to account for legitimate reasons why patients do not achieve recommended treatment targets. We tested a novel performance measurement system for blood pressure (BP) control that was designed to mimic clinical reasoning. This clinically guided approach focuses on (1) exempting patients for whom tight BP control may not be appropriate or feasible and (2) assessing BP over time. Trained abstractors conducted structured chart reviews of 201 adults with hypertension in 2 VA health care systems. Results were compared with traditional methods of performance measurement. Among 201 veterans, 183 (91%) were male, and the mean age was 71±11 years. Using the clinically guided approach, 61 patients (30%) were exempted from performance measurement. The most common reasons for exemption were inadequate opportunity to manage BP (35 patients, 17%) and the use of 4 or more antihypertensive medications (19 patients, 9%). Among patients eligible for performance measurement, there was little agreement on the presence of controlled versus uncontrolled BP when comparing the most recent BP (the traditional approach) with an integrated assessment of BP control (κ 0.14). After accounting for clinically guided exemptions and methods of BP assessment, only 15 of 72 patients (21%) whose last BP was ≥140/90 mm Hg were classified as problematic by the clinically guided approach. Many patients have legitimate reasons for not achieving tight BP control, and the methods used for BP assessment have marked effects on whether a patient is classified as having adequate or inadequate BP control.
Why do couples discontinue unlimited free IVF treatments?
Lande, Yechezkel; Seidman, Daniel S; Maman, Ettie; Baum, Micha; Hourvitz, Ariel
2015-03-01
Worldwide, IVF is often discontinued before a live birth is achieved due to high costs. Even when partial financial coverage is provided, often medical providers advise treatment discontinuation. In Israel, unlimited IVF is offered free of charge for a couples' first two children. Our objective was to assess the reasons couples discontinue IVF treatments before achieving two children in a completely unlimited cost-free environment. This cohort study included all primary infertile women, <35 years, referred for their first IVF cycle to Sheba IVF unit between 2001 and 2002. Patients were followed until February 2012. Those who ceased treatments for 12 months were interviewed to assess the main reason they ceased treatments. Of the 134 couples included, only 46 ceased IVF treatments without achieving two children, after performing an average of 6.2 IVF cycles to achieve their first birth. The reasons given were: lost hope of success (13), psychological burden (18), divorce (6), medical staff recommendation (5), bureaucratic difficulties (3) and general medical condition (1). The main reasons for "drop out" in our cost-free environment were as follows: psychological burden and lost hope of success. Due to high availability of treatments, medical staff recommendation was a less significant factor in our study.
Integration of domain and resource-based reasoning for real-time control in dynamic environments
NASA Technical Reports Server (NTRS)
Morgan, Keith; Whitebread, Kenneth R.; Kendus, Michael; Cromarty, Andrew S.
1993-01-01
A real-time software controller that successfully integrates domain-based and resource-based control reasoning to perform task execution in a dynamically changing environment is described. The design of the controller is based on the concept of partitioning the process to be controlled into a set of tasks, each of which achieves some process goal. It is assumed that, in general, there are multiple ways (tasks) to achieve a goal. The controller dynamically determines current goals and their current criticality, choosing and scheduling tasks to achieve those goals in the time available. It incorporates rule-based goal reasoning, a TMS-based criticality propagation mechanism, and a real-time scheduler. The controller has been used to build a knowledge-based situation assessment system that formed a major component of a real-time, distributed, cooperative problem solving system built under DARPA contract. It is also being employed in other applications now in progress.
Criteria of Police Officer Performance.
ERIC Educational Resources Information Center
Baehr, Melany E.
The indifferent success in achieving the goal of reliable and valid police officer work performance measures has been attributed to the complexity of the job. This study explored reasons for unsatisfactory police performance evaluation, reviewing and integrating previous studies and new recently collected but not yet published data. Performance…
Vilia, Paulo N; Candeias, Adelinda A; Neto, António S; Franco, Maria Da Glória S; Melo, Madalena
2017-01-01
Science education plays a critical role as political priority due to its fundamental importance in engaging students to pursue technological careers considered essential in modern societies, in order to face scientific development challenges. High-level achievement on science education and positive attitudes toward science constitutes a crucial challenge for formal education. Several studies indicate close relationships between students' attitudes, cognitive abilities, and academic achievement. The main purpose of this study is to analyze the impact of student's attitudes toward the school discipline of Physics and Chemistry and their reasoning abilities on academic achievement on that school subject, among Portuguese 9th grade students using the data collected during the Project Academic Performance and Development: a longitudinal study on the effects of school transitions in Portuguese students (PTDC/CPE-CED/104884/2008). The participants were 470 students (267 girls - 56.8% and 203 boys - 43.2%), aged 14-16 years old (μ = 14.3 ± 0.58). The attitude data were collected using the Attitude toward Physics-Chemistry Questionnaire (ATPCQ) and, the Reasoning Test Battery (RTB) was used to assess the students reasoning abilities. Achievement was measured using the students' quarterly (9-week) grades in the physics and chemistry subject. The relationships between the attitude dimensions toward Physics-chemistry and the reasoning dimensions and achievement in each of the three school terms were assessed by multiple regression stepwise analyses and standardized regression coefficients (β), calculated with IBM SPSS Statistics 21 software. Both variables studied proved to be significant predictor variables of school achievement. The models obtained from the use of both variables were always stronger accounting for higher proportions of student's grade variations. The results show that ATPCQ and RTB had a significantly positive relationship with student's achievement in Physics-chemistry, indicating that both attitudinal and cognitive variables should be taken into account on science education as well as in educative intervention.
Vilia, Paulo N.; Candeias, Adelinda A.; Neto, António S.; Franco, Maria Da Glória S.; Melo, Madalena
2017-01-01
Science education plays a critical role as political priority due to its fundamental importance in engaging students to pursue technological careers considered essential in modern societies, in order to face scientific development challenges. High-level achievement on science education and positive attitudes toward science constitutes a crucial challenge for formal education. Several studies indicate close relationships between students’ attitudes, cognitive abilities, and academic achievement. The main purpose of this study is to analyze the impact of student’s attitudes toward the school discipline of Physics and Chemistry and their reasoning abilities on academic achievement on that school subject, among Portuguese 9th grade students using the data collected during the Project Academic Performance and Development: a longitudinal study on the effects of school transitions in Portuguese students (PTDC/CPE-CED/104884/2008). The participants were 470 students (267 girls – 56.8% and 203 boys – 43.2%), aged 14–16 years old (μ = 14.3 ± 0.58). The attitude data were collected using the Attitude toward Physics-Chemistry Questionnaire (ATPCQ) and, the Reasoning Test Battery (RTB) was used to assess the students reasoning abilities. Achievement was measured using the students’ quarterly (9-week) grades in the physics and chemistry subject. The relationships between the attitude dimensions toward Physics-chemistry and the reasoning dimensions and achievement in each of the three school terms were assessed by multiple regression stepwise analyses and standardized regression coefficients (β), calculated with IBM SPSS Statistics 21 software. Both variables studied proved to be significant predictor variables of school achievement. The models obtained from the use of both variables were always stronger accounting for higher proportions of student’s grade variations. The results show that ATPCQ and RTB had a significantly positive relationship with student’s achievement in Physics-chemistry, indicating that both attitudinal and cognitive variables should be taken into account on science education as well as in educative intervention. PMID:28701978
Schooling and Sex Roles: The Case of GCE 'O' Level Mathematics.
ERIC Educational Resources Information Center
Sharma, Shiam; Meighan, Roland
1980-01-01
Questions why girls, who perform at least as well as boys in mathematical reasoning until the age of 11, experience an ever-decreasing set of educational possibilities and consequential achievements during the secondary years of schooling. Relates sex stereotyping to differences in mathematics achievement among male and female students in…
49 CFR 555.6 - Basis for application.
Code of Federal Regulations, 2011 CFR
2011-10-01
... achieved either by design changes or termination of production of nonconforming vehicles; and (v) The total... failure to meet the standard, expressed as comparative performance levels; and (iv) Reasons why the... standard, expressed as comparative performance levels; (iv) The results of any tests conducted on the...
49 CFR 555.6 - Basis for application.
Code of Federal Regulations, 2013 CFR
2013-10-01
... achieved either by design changes or termination of production of nonconforming vehicles; and (v) The total... failure to meet the standard, expressed as comparative performance levels; and (iv) Reasons why the... standard, expressed as comparative performance levels; (iv) The results of any tests conducted on the...
49 CFR 555.6 - Basis for application.
Code of Federal Regulations, 2012 CFR
2012-10-01
... achieved either by design changes or termination of production of nonconforming vehicles; and (v) The total... failure to meet the standard, expressed as comparative performance levels; and (iv) Reasons why the... standard, expressed as comparative performance levels; (iv) The results of any tests conducted on the...
49 CFR 555.6 - Basis for application.
Code of Federal Regulations, 2010 CFR
2010-10-01
... achieved either by design changes or termination of production of nonconforming vehicles; and (v) The total... failure to meet the standard, expressed as comparative performance levels; and (iv) Reasons why the... standard, expressed as comparative performance levels; (iv) The results of any tests conducted on the...
49 CFR 555.6 - Basis for application.
Code of Federal Regulations, 2014 CFR
2014-10-01
... achieved either by design changes or termination of production of nonconforming vehicles; and (v) The total... failure to meet the standard, expressed as comparative performance levels; and (iv) Reasons why the... standard, expressed as comparative performance levels; (iv) The results of any tests conducted on the...
ERIC Educational Resources Information Center
Jarrell, Amanda; Harley, Jason M.; Lajoie, Susanne; Naismith, Laura
2017-01-01
Students experience a variety of emotions following achievement outcomes which stand to influence how they learn and perform in academic settings. However, little is known about the link between student outcome emotions and dimensions of performance feedback in computer-based learning environments (CBLEs). Understanding the dynamics of this…
Understanding Clicker Discussions: Student Reasoning and the Impact of Instructional Cues
Knight, Jennifer K.; Wise, Sarah B.; Southard, Katelyn M.
2013-01-01
Previous research has shown that undergraduate science students learn from peer discussions of in-class clicker questions. However, the features that characterize such discussions are largely unknown, as are the instructional factors that may lead students into productive discussions. To explore these questions, we recorded and transcribed 83 discussions among groups of students discussing 34 different clicker questions in an upper-level developmental biology class. Discussion transcripts were analyzed for features such as making claims, questioning, and explaining reasoning. In addition, transcripts were categorized by the quality of reasoning students used and for performance features, such as percent correct on initial vote, percent correct on revote, and normalized learning change. We found that the majority of student discussions included exchanges of reasoning that used evidence and that many such exchanges resulted in students achieving the correct answer. Students also had discussions in which ideas were exchanged, but the correct answer not achieved. Importantly, instructor prompts that asked students to use reasoning resulted in significantly more discussions containing reasoning connected to evidence than without such prompts. Overall, these results suggest that these upper-level biology students readily employ reasoning in their discussions and are positively influenced by instructor cues. PMID:24297291
Model of critical diagnostic reasoning: achieving expert clinician performance.
Harjai, Prashant Kumar; Tiwari, Ruby
2009-01-01
Diagnostic reasoning refers to the analytical processes used to determine patient health problems. While the education curriculum and health care system focus on training nurse clinicians to accurately recognize and rescue clinical situations, assessments of non-expert nurses have yielded less than satisfactory data on diagnostic competency. The contrast between the expert and non-expert nurse clinician raises the important question of how differences in thinking may contribute to a large divergence in accurate diagnostic reasoning. This article recognizes superior organization of one's knowledge base, using prototypes, and quick retrieval of pertinent information, using similarity recognition as two reasons for the expert's superior diagnostic performance. A model of critical diagnostic reasoning, using prototypes and similarity recognition, is proposed and elucidated using case studies. This model serves as a starting point toward bridging the gap between clinical data and accurate problem identification, verification, and management while providing a structure for a knowledge exchange between expert and non-expert clinicians.
Innate spatial-temporal reasoning and the identification of genius.
Peterson, Matthew R; Balzarini, Doreen; Bodner, Mark; Jones, Edward G; Phillips, Tiffany; Richardson, Debra; Shaw, Gordon L
2004-01-01
The teaching of mathematics is invariably language-based, but spatial-temporal (ST) reasoning (making a mental image and thinking ahead in space and time) is crucial to the understanding of math. Here we report that Big Seed, a demanding ST video game, based upon the mathematics of knot theory and previously applied to understanding DNA structure and function, can be used to reveal innate ST reasoning. Big Seed studies with middle and elementary school children provide strong evidence that ST reasoning ability is not only innate but far exceeds optimistic expectations based on age, the percentage of children achieving exceptional ST performance in less than 7 h of training, and retention of ability. A third grader has been identified as a genius (functionally defined) in ST performance. Big Seed may be used for training and assessing 'creativity' (functionally defined) and ST reasoning as well as discovering genius.
Barua, Shaibal; Begum, Shahina; Ahmed, Mobyen Uddin
2015-01-01
Machine learning algorithms play an important role in computer science research. Recent advancement in sensor data collection in clinical sciences lead to a complex, heterogeneous data processing, and analysis for patient diagnosis and prognosis. Diagnosis and treatment of patients based on manual analysis of these sensor data are difficult and time consuming. Therefore, development of Knowledge-based systems to support clinicians in decision-making is important. However, it is necessary to perform experimental work to compare performances of different machine learning methods to help to select appropriate method for a specific characteristic of data sets. This paper compares classification performance of three popular machine learning methods i.e., case-based reasoning, neutral networks and support vector machine to diagnose stress of vehicle drivers using finger temperature and heart rate variability. The experimental results show that case-based reasoning outperforms other two methods in terms of classification accuracy. Case-based reasoning has achieved 80% and 86% accuracy to classify stress using finger temperature and heart rate variability. On contrary, both neural network and support vector machine have achieved less than 80% accuracy by using both physiological signals.
ERIC Educational Resources Information Center
American Federation of Teachers (NJ), 2012
2012-01-01
School districts close schools for many appropriate reasons. School closure has now evolved into a school improvement strategy. Sometimes the strategy is to close the lowest-performing schools rather than low-enrollment schools and move the students into higher-achieving neighborhood schools. School closure also has become a common strategy to…
Measuring change in critical thinking skills of dental students educated in a PBL curriculum.
Pardamean, Bens
2012-04-01
This study measured the change in critical thinking skills of dental students educated in a problem-based learning (PBL) pedagogical method. The quantitative analysis was focused on measuring students' critical thinking skills achievement from their first through third years of dental education at the University of Southern California. This non-experimental evaluation was based on a volunteer sample of ninety-eight dental students who completed a demographics/academic questionnaire and a psychometric assessment known as the Health Sciences Reasoning Test (HSRT). The HSRT produced the overall critical thinking skills score. Additionally, the HSRT generated five subscale scores: analysis, inference, evaluation, deductive reasoning, and inductive reasoning. The results of this study concluded that the students showed no continuous and significant incremental improvement in their overall critical thinking skills score achievement during their PBL-based dental education. Except for the inductive reasoning score, this result was very consistent with the four subscale scores. Moreover, after performing the statistical adjustment on total score and subscale scores, no significant statistical differences were found among the three student groups. However, the results of this study found some aspects of critical thinking achievements that differed by categories of gender, race, English as first language, and education level.
Digital X-Ray Imager Final Report CRADA No. TSB-1161-95
DOE Office of Scientific and Technical Information (OSTI.GOV)
Logan, C.; Toker, E.
The global objective of this cooperation was to lower the cost and improve the quality of breast health care in the United States. We planned to achieve it by designing a very high performance digital radiography unit for breast surgical specimen radiography in the operating room. These technical goals needed to be achieved at reasonable manufacturing costs to enable MedOptics to achieve high market penetration at a profit.
ERIC Educational Resources Information Center
Lane, Suzanne; And Others
The performance of students from different racial or ethnic subgroups and of students receiving bilingual (Spanish and English) or monolingual (English only) instruction in mathematics was studied using students from schools in the QUASAR (Qualitative Understanding Amplifying Student Achievement and Reasoning) project, a mathematics education…
ERIC Educational Resources Information Center
Mottram, David
2012-01-01
Drugs may be used by athletes for a number of reasons, including performance enhancement. The role of the World Anti-Doping Agency (WADA) is vital to ensure a winning performance has been achieved by fair means. Substances and methods that are included on the WADA Prohibited List are described. The procedures for testing banned substances are…
Fuster-Parra, P; García-Mas, A; Ponseti, F J; Leo, F M
2015-04-01
The purpose of this paper was to discover the relationships among 22 relevant psychological features in semi-professional football players in order to study team's performance and collective efficacy via a Bayesian network (BN). The paper includes optimization of team's performance and collective efficacy using intercausal reasoning pattern which constitutes a very common pattern in human reasoning. The BN is used to make inferences regarding our problem, and therefore we obtain some conclusions; among them: maximizing the team's performance causes a decrease in collective efficacy and when team's performance achieves the minimum value it causes an increase in moderate/high values of collective efficacy. Similarly, we may reason optimizing team collective efficacy instead. It also allows us to determine the features that have the strongest influence on performance and which on collective efficacy. From the BN two different coaching styles were differentiated taking into account the local Markov property: training leadership and autocratic leadership. Copyright © 2014 Elsevier B.V. All rights reserved.
Verifying the Modal Logic Cube Is an Easy Task (For Higher-Order Automated Reasoners)
NASA Astrophysics Data System (ADS)
Benzmüller, Christoph
Prominent logics, including quantified multimodal logics, can be elegantly embedded in simple type theory (classical higher-order logic). Furthermore, off-the-shelf reasoning systems for simple type type theory exist that can be uniformly employed for reasoning within and about embedded logics. In this paper we focus on reasoning about modal logics and exploit our framework for the automated verification of inclusion and equivalence relations between them. Related work has applied first-order automated theorem provers for the task. Our solution achieves significant improvements, most notably, with respect to elegance and simplicity of the problem encodings as well as with respect to automation performance.
ERIC Educational Resources Information Center
Muraya, Daniel Ngaru; Kimamo, Githui
2011-01-01
Performance in Biology at secondary school level in Kenya remains poor and one reason is the teaching approach adopted by teachers with teacher-centered approaches being pre-dominant. This study sought to determine the effect of cooperative learning approach on mean achievement scores in Biology of secondary school students.…
The Effect of Major Organizational Policy on Employee Attitudes Toward Graduate Degrees
2006-03-01
on the type of intention being assessed - measure of intention and measure of estimate ( Fishbein & Ajzen , 1975). The former is used to predict...motivated to pursue graduate degrees. Therefore, the Model of Reasoned Action’s measurement of estimate for goal achievement ( Fishbein & Ajzen , 1975...Five Years The measurement of intention from the Model of Reasoned Action for predicting the performance of a behavior ( Fishbein & Ajzen , 1975) was
ERIC Educational Resources Information Center
Sommet, Nicolas; Elliot, Andrew J.
2017-01-01
In the present research, we proposed a systematic approach to disentangling the shared and unique variance explained by achievement goals, reasons for goal pursuit, and specific goal-reason combinations (i.e., achievement goal complexes). Four studies using this approach (involving nearly 1,800 participants) led to 3 basic sets of findings. First,…
A Cross-Sectional Evaluation of Student Achievement Using Standardized and Performance-Based Tests
ERIC Educational Resources Information Center
Pinter, Brad; Matchock, Robert L.; Charles, Eric P.; Balch, William R.
2014-01-01
Three groups of undergraduates (42 senior graduating psychology majors, 27 first-year premajors taking introductory psychology, and 24 first-year, high-performing nonmajors taking introductory psychology) completed the Psychology Major Field Test (MFT) and a short-answer (SA) essay test on reasoning about core knowledge in psychology. Graduating…
Examining the Academic Achievement-Delinquency Relationship Among Southeast Asian Americans.
Bui, Laura
2018-05-01
The extent to which poor academic achievement is strongly related to delinquency among Southeast Asian Americans (SEAA) remains unclear; reasons are methodological limitations and aggregated findings for Asian Americans, which mask evidence that SEAA have a higher prevalence of criminality and poor academic performance than other Asian American groups. The present study examines the academic achievement-delinquency relationship in a diverse group of 1,214 SEAA using data from the Children of Immigrants Longitudinal Study (CILS). Propensity score matching (PSM) was used to make causal inferences and assess whether poor academic achieving SEAA, after being matched with higher academic achieving SEAA, displayed a higher prevalence of delinquency. Findings showed that, even after matching, poor academic achieving SEAA were still more likely to exhibit delinquent behavior than those who performed academically better. Interventions targeting SEAA communities will need to focus more on improving academic achievement to directly prevent and decrease delinquent behavior.
Reasoning Ability and Academic Achievement among Secondary School Students in Trivandrum
ERIC Educational Resources Information Center
Rani, K. V.
2017-01-01
Reasoning ability is the 'problem solving skills' or 'analytical ability' or 'deductive and inductive reasoning'. Academic achievement is the total score one achieved at school, college, or university from class, laboratory, library, or field work. The objectives of the study were to explore the relationship between reasoning ability and academic…
DeLay, Dawn; Laursen, Brett; Kiuru, Noona; Poikkeus, Anna-Maija; Aunola, Kaisa; Nurmi, Jari-Erik
2015-11-01
This study was designed to investigate friend influence over mathematical reasoning in a sample of 374 children in 187 same-sex friend dyads (184 girls in 92 friendships; 190 boys in 95 friendships). Participants completed surveys that measured mathematical reasoning in the 3rd grade (approximately 9 years old) and 1 year later in the 4th grade (approximately 10 years old). Analyses designed for dyadic data (i.e., longitudinal actor-partner interdependence model) indicated that higher achieving friends influenced the mathematical reasoning of lower achieving friends, but not the reverse. Specifically, greater initial levels of mathematical reasoning among higher achieving partners in the 3rd grade predicted greater increases in mathematical reasoning from 3rd grade to 4th grade among lower achieving partners. These effects held after controlling for peer acceptance and rejection, task avoidance, interest in mathematics, maternal support for homework, parental education, length of the friendship, and friendship group norms on mathematical reasoning. © 2015 The British Psychological Society.
DeLay, Dawn; Laursen, Brett; Kiuru, Noona; Poikkeus, Anna-Maija; Aunola, Kaisa; Nurmi, Jari-Erik
2015-01-01
This study is designed to investigate friend influence over mathematical reasoning in a sample of 374 children in 187 same-sex friend dyads (184 girls in 92 friendships; 190 boys in 95 friendships). Participants completed surveys that measured mathematical reasoning in the 3rd grade (approximately 9 years old) and one year later in the 4th grade (approximately 10 years old). Analyses designed for dyadic data (i.e., longitudinal Actor-Partner Interdependence Models) indicated that higher achieving friends influenced the mathematical reasoning of lower achieving friends, but not the reverse. Specifically, greater initial levels of mathematical reasoning among higher achieving partners in the 3rd grade predicted greater increases in mathematical reasoning from 3rd grade to 4th grade among lower achieving partners. These effects held after controlling for peer acceptance and rejection, task avoidance, interest in mathematics, maternal support for homework, parental education, length of the friendship, and friendship group norms on mathematical reasoning. PMID:26402901
A set for relational reasoning: Facilitation of algebraic modeling by a fraction task.
DeWolf, Melissa; Bassok, Miriam; Holyoak, Keith J
2016-12-01
Recent work has identified correlations between early mastery of fractions and later math achievement, especially in algebra. However, causal connections between aspects of reasoning with fractions and improved algebra performance have yet to be established. The current study investigated whether relational reasoning with fractions facilitates subsequent algebraic reasoning using both pre-algebra students and adult college students. Participants were first given either a relational reasoning fractions task or a fraction algebra procedures control task. Then, all participants solved word problems and constructed algebraic equations in either multiplication or division format. The word problems and the equation construction tasks involved simple multiplicative comparison statements such as "There are 4 times as many students as teachers in a classroom." Performance on the algebraic equation construction task was enhanced for participants who had previously completed the relational fractions task compared with those who completed the fraction algebra procedures task. This finding suggests that relational reasoning with fractions can establish a relational set that promotes students' tendency to model relations using algebraic expressions. Copyright © 2016 Elsevier Inc. All rights reserved.
Planning Robot-Control Parameters With Qualitative Reasoning
NASA Technical Reports Server (NTRS)
Peters, Stephen F.
1993-01-01
Qualitative-reasoning planning algorithm helps to determine quantitative parameters controlling motion of robot. Algorithm regarded as performing search in multidimensional space of control parameters from starting point to goal region in which desired result of robotic manipulation achieved. Makes use of directed graph representing qualitative physical equations describing task, and interacts, at each sampling period, with history of quantitative control parameters and sensory data, to narrow search for reliable values of quantitative control parameters.
Owens, Matthew; Stevenson, Jim; Norgate, Roger; Hadwin, Julie A
2008-10-01
Working memory skills are positively associated with academic performance. In contrast, high levels of trait anxiety are linked with educational underachievement. Based on Eysenck and Calvo's (1992) processing efficiency theory (PET), the present study investigated whether associations between anxiety and educational achievement were mediated via poor working memory performance. Fifty children aged 11-12 years completed verbal (backwards digit span; tapping the phonological store/central executive) and spatial (Corsi blocks; tapping the visuospatial sketchpad/central executive) working memory tasks. Trait anxiety was measured using the State-Trait Anxiety Inventory for Children. Academic performance was assessed using school administered tests of reasoning (Cognitive Abilities Test) and attainment (Standard Assessment Tests). The results showed that the association between trait anxiety and academic performance was significantly mediated by verbal working memory for three of the six academic performance measures (math, quantitative and non-verbal reasoning). Spatial working memory did not significantly mediate the relationship between trait anxiety and academic performance. On average verbal working memory accounted for 51% of the association between trait anxiety and academic performance, while spatial working memory only accounted for 9%. The findings indicate that PET is a useful framework to assess the impact of children's anxiety on educational achievement.
Jensen, Jamie Lee; Lawson, Anton
2011-01-01
This study compared the effectiveness of collaborative group composition and instructional method on reasoning gains and achievement in college biology. Based on initial student reasoning ability (i.e., low, medium, or high), students were assigned to either homogeneous or heterogeneous collaborative groups within either inquiry or didactic instruction. Achievement and reasoning gains were assessed at the end of the semester. Inquiry instruction, as a whole, led to significantly greater gains in reasoning ability and achievement. Inquiry instruction also led to greater confidence and more positive attitudes toward collaboration. Low-reasoning students made significantly greater reasoning gains within inquiry instruction when grouped with other low reasoners than when grouped with either medium or high reasoners. Results are consistent with equilibration theory, supporting the idea that students benefit from the opportunity for self-regulation without the guidance or direction of a more capable peer. PMID:21364101
Reasoning Abilities and Potential Correlates Among Jordanian School Children.
Almomani, Fidaa; Al-Momani, Murad O; Alsheyab, Nihayah; Al Mhdawi, Khader
2018-04-01
Objectives To investigate factors related to reasoning skills in 434 school children aged 5-9 years. Methods The Leiter International Performance Scale-Revised was used to assess reasoning skills. Demographic, work and family income data, information on child's daily behavior and school academic achievement were provided by the participating children's parents. Results Reasoning scores increased by 4.56 points with increasing subject's age, 1.71 points with increasing level of father's occupation, 1.86 points with each increase in the subject's GPA, 1.13 points with consumption of breakfast at home and 1.81 points when child slept more hours. Having a father who smoked and living in a rural area decreased scores in reasoning. Conclusions for Practice Screening of reasoning and associated factors is essential for a comprehensive and accurate understanding of the child's abilities and limitations. Understanding the child's reasoning abilities is critical for establishing intervention goals and planning therapeutic activities.
A Study of a High Performing, High Poverty Elementary School on the Texas-Mexico Border
ERIC Educational Resources Information Center
Lopez, Cynthia Iris
2012-01-01
Transforming low performing schools to ensure the academic success of Hispanic children situated in poverty remains an educational challenge. External factors impacting student learning are often targeted as the main reasons for poor academic achievement, thereby advancing the culturally deficit model. This study is about an elementary school that…
ERIC Educational Resources Information Center
Lane, Suzanne; And Others
1995-01-01
Over 5,000 students participated in a study of the dimensionality and stability of the item parameter estimates of a mathematics performance assessment developed for the Quantitative Understanding: Amplifying Student Achievement and Reasoning (QUASAR) Project. Results demonstrate the test's dimensionality and illustrate ways to examine use of the…
ERIC Educational Resources Information Center
Allen, Rebecca
2013-01-01
Apparently sophisticated school performance measures have been used to claim that giving schools autonomy from local government control improves pupil exam performance. This paper explores the extent to which inferring causality between autonomy and pupil achievement is reasonable given that pupils are not randomly assigned to schools and schools…
ERIC Educational Resources Information Center
Overton, Sara R.; And Others
The study examined how the coping behaviors and achievement motivation of 181 athletes (aged 18-66) with cerebral palsy or other physical disabilities influence participation in the normalized activity of competitive sport. The project examined the following cognitive aspects of performance: (1) reasons for becoming involved in sports; (2) how the…
NASA Astrophysics Data System (ADS)
Hall, Donald A.; McCurdy, Donald W.
The purpose of this experiment was to compare an inquiry-oriented Biological Sciences Curriculum Study (BSCS) style laboratory approach with a more directive traditional approach on student outcomes in the cognitive and affective domains of learning at two private, midwestern liberal-arts colleges. The BSCS approach emphasized basic and integrated science processes, concept development through extensive questioning, and increased student discretion, while the traditional approach contained highly structured, more prescriptive, teacher-oriented activities. Intact laboratory sections of students enrolled in introductory general biology at two private liberal-arts colleges were randomly selected into two treatment groups. Pretest and posttest measures were taken on three dependent variables: (1) biological content achievement, measured with a researcher-generated Test on Biology Laboratory Concepts, (2) reasoning ability, measured with the Group Assessment of Logical Thinking, and (3) attitude toward biology, measured with the Biology Student Behavior Inventory. Analysis of covariance indicated the experimental group (n = 60) using the BSCS-style laboratory approach scored significantly higher than the comparison group (n = 59) in levels of performance on biology content achievement, F(1, 114) = 4.07, p < 0.05. There were no significant differences between the two groups in performance levels on attitude toward biology or on reasoning ability. However, both groups experienced a 15-percent increase in the number of formal thinkers as indicated by pretest-posttest gain scores on the reasoning ability test. These results lend support to the hypothesis that a BSCS-style laboratory approach fosters desired learner outcomes at the postsecondary level. In addition, these findings support the notion that the science laboratory may be used as a primary vehicle to promote formal reasoning skills.
A versatile breast reduction technique: Conical plicated central U shaped (COPCUs) mammaplasty
Copcu, Eray
2009-01-01
Background There have been numerous studies on reduction mammaplasty and its modifications in the literature. The multitude of modifications of reduction mammaplasty indicates that the ideal technique has yet to be found. There are four reasons for seeking the ideal technique. One reason is to preserve functional features of the breast: breastfeeding and arousal. Other reasons are to achieve the real geometric and aesthetic shape of the breast with the least scar and are to minimize complications of prior surgical techniques without causing an additional complication. Last reason is the limitation of the techniques described before. To these aims, we developed a new versatile reduction mammaplasty technique, which we called conical plicated central U shaped (COPCUs) mammaplasty. Methods We performed central plication to achieve a juvenile look in the superior pole of the breast and to prevent postoperative pseudoptosis and used central U shaped flap to achieve maximum NAC safety and to preserve lactation and nipple sensation. The central U flap was 6 cm in width and the superior conical plication was performed with 2/0 PDS. Preoperative and postoperative standard measures of the breast including the superior pole fullness were compared. Results Forty six patients were operated with the above mentioned technique. All of the patients were satisfied with functional and aesthetic results and none of them had major complications. There were no changes in the nipple innervation. Six patients becoming pregnant after surgery did not experience any problems with lactation. None of the patients required scar revision. Conclusion Our technique is a versatile, safe, reliable technique which creates the least scar, avoids previously described disadvantages, provides maximum preservation of functions, can be employed in all breasts regardless of their sizes. PMID:19575809
Van Yperen, Nico W; Blaga, Monica; Postmes, Tom
2014-01-01
During the past three decades, the achievement goal approach to achievement motivation has emerged as an influential area of research, and is dedicated to understanding the reasons behind the individual's drive to achieve competence and performance. However, the current literature on achievement goals is segmented rather than integrated. That is, citations across the three major and distinct achievement domains (work, education, and sports) are more the exception than the rule and similarities and differences between findings for the different achievement domains have yet to be tested. The purpose of the present study was to examine the relationships between self-reported achievement goals and nonself-report performance through meta-analysis, and the moderating potential of achievement domain. Identifying achievement domain as moderator improves our understanding to which contexts we can (not) generalize conclusions to, it helps to understand seemingly inconsistent findings, and opens avenues for future research on the underlying processes. Because the achievement goal (AG) measure used in a study is partially confounded with achievement domain, we examined the moderating role of this variable as well. Our findings suggest that - overall - approach goals (either mastery or performance) were associated positively with performance attainment, whereas avoidance goals (either mastery or performance) were associated negatively with performance attainment. These relationships were moderated by achievement domain. For example, relative to the education or work domain, in the sports domain, we did not observe negative correlations between avoidance goals and performance. The absence of statistical moderation due to AG measure suggests that the observed moderation of achievement domain cannot be explained by the AG measure utilized. We suggest further steps to integrate the achievement goal literature, and accordingly, to broaden and deepen understanding of performance attainment in competence-relevant settings, including the workplace, the sports field, and the classroom.
Van Yperen, Nico W.; Blaga, Monica; Postmes, Tom
2014-01-01
During the past three decades, the achievement goal approach to achievement motivation has emerged as an influential area of research, and is dedicated to understanding the reasons behind the individual’s drive to achieve competence and performance. However, the current literature on achievement goals is segmented rather than integrated. That is, citations across the three major and distinct achievement domains (work, education, and sports) are more the exception than the rule and similarities and differences between findings for the different achievement domains have yet to be tested. The purpose of the present study was to examine the relationships between self-reported achievement goals and nonself-report performance through meta-analysis, and the moderating potential of achievement domain. Identifying achievement domain as moderator improves our understanding to which contexts we can (not) generalize conclusions to, it helps to understand seemingly inconsistent findings, and opens avenues for future research on the underlying processes. Because the achievement goal (AG) measure used in a study is partially confounded with achievement domain, we examined the moderating role of this variable as well. Our findings suggest that – overall – approach goals (either mastery or performance) were associated positively with performance attainment, whereas avoidance goals (either mastery or performance) were associated negatively with performance attainment. These relationships were moderated by achievement domain. For example, relative to the education or work domain, in the sports domain, we did not observe negative correlations between avoidance goals and performance. The absence of statistical moderation due to AG measure suggests that the observed moderation of achievement domain cannot be explained by the AG measure utilized. We suggest further steps to integrate the achievement goal literature, and accordingly, to broaden and deepen understanding of performance attainment in competence-relevant settings, including the workplace, the sports field, and the classroom. PMID:24699695
A New Look to a Classic Issue: Reasoning and Academic Achievement at Secondary School
Gómez-Veiga, Isabel; Vila Chaves, José O.; Duque, Gonzalo; García Madruga, Juan A.
2018-01-01
Higher-order thinking abilities such as abstract reasoning and meaningful school learning occur sequentially. The fulfillment of these tasks demands that people activate and use all of their working memory resources in a controlled and supervised way. The aims of this work were: (a) to study the interplay between two new reasoning measures, one mathematical (Cognitive Reflection Test) and the other verbal (Deductive Reasoning Test), and a third classical visuo-spatial reasoning measure (Raven Progressive Matrices Test); and (b) to investigate the relationship between these measures and academic achievement. Fifty-one 4th grade secondary school students participated in the experiment and completed the three reasoning tests. Academic achievement measures were the final numerical scores in seven basic subjects. The results demonstrated that cognitive reflection, visual, and verbal reasoning are intimately related and predicts academic achievement. This work confirms that abstract reasoning constitutes the most important higher-order cognitive ability that underlies academic achievement. It also reveals the importance of dual processes, verbal deduction and metacognition in ordinary teaching and learning at school. PMID:29643823
A New Look to a Classic Issue: Reasoning and Academic Achievement at Secondary School.
Gómez-Veiga, Isabel; Vila Chaves, José O; Duque, Gonzalo; García Madruga, Juan A
2018-01-01
Higher-order thinking abilities such as abstract reasoning and meaningful school learning occur sequentially. The fulfillment of these tasks demands that people activate and use all of their working memory resources in a controlled and supervised way. The aims of this work were: (a) to study the interplay between two new reasoning measures, one mathematical (Cognitive Reflection Test) and the other verbal (Deductive Reasoning Test), and a third classical visuo-spatial reasoning measure (Raven Progressive Matrices Test); and (b) to investigate the relationship between these measures and academic achievement. Fifty-one 4th grade secondary school students participated in the experiment and completed the three reasoning tests. Academic achievement measures were the final numerical scores in seven basic subjects. The results demonstrated that cognitive reflection, visual, and verbal reasoning are intimately related and predicts academic achievement. This work confirms that abstract reasoning constitutes the most important higher-order cognitive ability that underlies academic achievement. It also reveals the importance of dual processes, verbal deduction and metacognition in ordinary teaching and learning at school.
Lazuras, Lambros; Barkoukis, Vassilis; Loukovitis, Andreas; Brand, Ralf; Hudson, Andy; Mallia, Luca; Michaelides, Michalis; Muzi, Milena; Petróczi, Andrea; Zelli, Arnaldo
2017-01-01
Doping use in recreational sports is an emerging issue that has received limited attention so far in the psychological literature. The present study assessed the lifetime prevalence of controlled performance and appearance enhancing substances (PAES), and used behavioral reasoning theory to identify the reasons for using and for avoiding using controlled PAES in young exercisers across five European countries, in the context of the "SAFE YOU" Project. Participants were 915 young amateur athletes and exercisers ( M = 21.62; SD = 2.62) from Cyprus, Germany, Greece, Italy, and UK who completed an anonymous questionnaire that included measures of self-reported use of controlled PAES, as well as reasons for using and not using controlled PAES. The results of the descriptive analyses demonstrated that almost one out five exercisers in the sample had a previous experience with controlled PAES. Higher prevalence rates were found in Greece and Cyprus and lower in Italy. The most frequently reported reasons for using controlled PAES included achieving the desired results faster; pushing the self to the (physical) limits; and recovering faster after exercise/training. Furthermore, the most frequently reported reasons for not using controlled PAES involved worry about any possible adverse health effects; not feeling the need for using them; and wanting to see what can be achieved naturally without using any controlled PAES. The findings of the present study indicate that the use of controlled PAES is fast becoming a crisis in amateur sports and exercise settings and highlight the need for preventive action and concerted anti-doping education efforts.
Lazuras, Lambros; Barkoukis, Vassilis; Loukovitis, Andreas; Brand, Ralf; Hudson, Andy; Mallia, Luca; Michaelides, Michalis; Muzi, Milena; Petróczi, Andrea; Zelli, Arnaldo
2017-01-01
Doping use in recreational sports is an emerging issue that has received limited attention so far in the psychological literature. The present study assessed the lifetime prevalence of controlled performance and appearance enhancing substances (PAES), and used behavioral reasoning theory to identify the reasons for using and for avoiding using controlled PAES in young exercisers across five European countries, in the context of the “SAFE YOU” Project. Participants were 915 young amateur athletes and exercisers (M = 21.62; SD = 2.62) from Cyprus, Germany, Greece, Italy, and UK who completed an anonymous questionnaire that included measures of self-reported use of controlled PAES, as well as reasons for using and not using controlled PAES. The results of the descriptive analyses demonstrated that almost one out five exercisers in the sample had a previous experience with controlled PAES. Higher prevalence rates were found in Greece and Cyprus and lower in Italy. The most frequently reported reasons for using controlled PAES included achieving the desired results faster; pushing the self to the (physical) limits; and recovering faster after exercise/training. Furthermore, the most frequently reported reasons for not using controlled PAES involved worry about any possible adverse health effects; not feeling the need for using them; and wanting to see what can be achieved naturally without using any controlled PAES. The findings of the present study indicate that the use of controlled PAES is fast becoming a crisis in amateur sports and exercise settings and highlight the need for preventive action and concerted anti-doping education efforts. PMID:28588518
Five-year ALARA review of dosimetry results :
DOE Office of Scientific and Technical Information (OSTI.GOV)
Paulus, Luke R.
2013-08-01
A review of personnel dosimetry (external and internal) and environmental monitoring results from 1 January 2008 through 31 December 2012 performed at Sandia National Laboratories, New Mexico was conducted to demonstrate that radiation protection methods used are compliant with regulatory limits and conform with the ALARA philosophy. ALARA is the philosophical approach to radiation protection by managing and controlling radiation exposures (individual and collective) to the work force and to the general public to levels that are As Low As is Reasonably Achievable taking social, technical, economic, practical, and public policy considerations into account. ALARA is not a dose limitmore » but a process which has the objective of attaining doses as far below applicable dose limits As Low As is Reasonably Achievable.« less
Generalizability and Validity of a Mathematics Performance Assessment.
ERIC Educational Resources Information Center
Lane, Suzanne; And Others
1996-01-01
Evidence from test results of 3,604 sixth and seventh graders is provided for the generalizability and validity of the Quantitative Understanding: Amplifying Student Achievement and Reasoning (QUASAR) Cognitive Assessment Instrument, which is designed to measure program outcomes and growth in mathematics. (SLD)
ERIC Educational Resources Information Center
Michou, Aikaterini; Vansteenkiste, Maarten; Mouratidis, Athanasios; Lens, Willy
2014-01-01
Background: The hierarchical model of achievement motivation presumes that achievement goals channel the achievement motives of need for achievement and fear of failure towards motivational outcomes. Yet, less is known whether autonomous and controlling reasons underlying the pursuit of achievement goals can serve as additional pathways between…
Quality and Safety in Health Care, Part XII: The Work System, Testing, and Clinical Reasoning.
Harolds, Jay A
2016-07-01
Donabedian felt the 3 major components affecting quality were process, structure, and outcome. Later investigators often substitute the word "structure" for a broader concept called the "work system." One component of the latter is the people involved, and for diagnosis, this often is best done with a diagnostic team. The work system in diagnosis has many obstacles to achieve optimum performance. There are also important problems with how tests are ordered and interpreted and clinical reasoning and biases.
Achieving realistic performance and decison-making capabilities in computer-generated air forces
NASA Astrophysics Data System (ADS)
Banks, Sheila B.; Stytz, Martin R.; Santos, Eugene, Jr.; Zurita, Vincent B.; Benslay, James L., Jr.
1997-07-01
For a computer-generated force (CGF) system to be useful in training environments, it must be able to operate at multiple skill levels, exhibit competency at assigned missions, and comply with current doctrine. Because of the rapid rate of change in distributed interactive simulation (DIS) and the expanding set of performance objectives for any computer- generated force, the system must also be modifiable at reasonable cost and incorporate mechanisms for learning. Therefore, CGF applications must have adaptable decision mechanisms and behaviors and perform automated incorporation of past reasoning and experience into its decision process. The CGF must also possess multiple skill levels for classes of entities, gracefully degrade its reasoning capability in response to system stress, possess an expandable modular knowledge structure, and perform adaptive mission planning. Furthermore, correctly performing individual entity behaviors is not sufficient. Issues related to complex inter-entity behavioral interactions, such as the need to maintain formation and share information, must also be considered. The CGF must also be able to acceptably respond to unforeseen circumstances and be able to make decisions in spite of uncertain information. Because of the need for increased complexity in the virtual battlespace, the CGF should exhibit complex, realistic behavior patterns within the battlespace. To achieve these necessary capabilities, an extensible software architecture, an expandable knowledge base, and an adaptable decision making mechanism are required. Our lab has addressed these issues in detail. The resulting DIS-compliant system is called the automated wingman (AW). The AW is based on fuzzy logic, the common object database (CODB) software architecture, and a hierarchical knowledge structure. We describe the techniques we used to enable us to make progress toward a CGF entity that satisfies the requirements presented above. We present our design and implementation of an adaptable decision making mechanism that uses multi-layered, fuzzy logic controlled situational analysis. Because our research indicates that fuzzy logic can perform poorly under certain circumstances, we combine fuzzy logic inferencing with adversarial game tree techniques for decision making in strategic and tactical engagements. We describe the approach we employed to achieve this fusion. We also describe the automated wingman's system architecture and knowledge base architecture.
Linear estimation of coherent structures in wall-bounded turbulence at Re τ = 2000
NASA Astrophysics Data System (ADS)
Oehler, S.; Garcia–Gutiérrez, A.; Illingworth, S.
2018-04-01
The estimation problem for a fully-developed turbulent channel flow at Re τ = 2000 is considered. Specifically, a Kalman filter is designed using a Navier–Stokes-based linear model. The estimator uses time-resolved velocity measurements at a single wall-normal location (provided by DNS) to estimate the time-resolved velocity field at other wall-normal locations. The estimator is able to reproduce the largest scales with reasonable accuracy for a range of wavenumber pairs, measurement locations and estimation locations. Importantly, the linear model is also able to predict with reasonable accuracy the performance that will be achieved by the estimator when applied to the DNS. A more practical estimation scheme using the shear stress at the wall as measurement is also considered. The estimator is still able to estimate the largest scales with reasonable accuracy, although the estimator’s performance is reduced.
Zhao, Xin; Xu, Yiwenjie; Fu, Junjun; Maes, Joseph H R
2018-04-01
Previous studies examining effects of working memory (WM) updating training revealed mixed results. One factor that might modulate training gains, and possibly also transfer of those gains to non-trained cognitive tasks, is achievement motivation. In the present Studies 1 and 2, students with either a high (HAM) or low (LAM) achievement motivation completed a 14-day visuospatial WM updating training program. In Study 2, the students also performed a set of tasks measuring other executive functions and fluid intelligence prior to and after training. In both studies, the HAM students displayed a larger training gain than the LAM students. Study 2 revealed that after training, both groups showed better performance on the near-transfer but not far-transfer tasks. Importantly, the differential training gain was not associated with better post-training performance for the HAM compared to the LAM students on any of the transfer tasks. These results are taken to support a modulatory role of achievement motivation on WM training benefits, but not on transfer of those benefits to other tasks. Possible reasons for the general improvement on the near-transfer tasks and the absence of a modulatory role of achievement motivation on transfer-task performance are discussed.
ERIC Educational Resources Information Center
Vansteenkiste, Maarten; Lens, Willy; Elliot, Andrew J.; Soenens, Bart; Mouratidis, Athanasios
2014-01-01
An important recent development in the achievement goal literature is to define achievement goals strictly as aims. In this overview, we argue that this restrictive definition of achievement goals paves the way for a systematic consideration of the autonomous and controlled reasons underlying individuals' achievement goals, a distinction…
Intellectual Development of Students at the Secondary-College Interface in Lebanon.
ERIC Educational Resources Information Center
Za'rour, George I.; Gholam, Ghada K.
1981-01-01
Assesses the level of intellectual development in proportional, combinatorial, and correlational reasoning and the ability to control variables in beginning sophomore students (N=207) at the American University of Beirut, Lebanon. Compares this level with their performance on achievement tests in mathematics, biology, chemistry, and physics. (CS)
ERIC Educational Resources Information Center
Lodewyk, Ken R.
2007-01-01
Students with differing profiles of epistemological beliefs--their beliefs about personal epistemology, intelligence, and learning--vary in thinking, reasoning, motivation, and use of strategies while working on academic tasks, each of which affect learning. This study examined students' epistemological beliefs according to gender, school…
Management Strategies for Complex Adaptive Systems: Sensemaking, Learning, and Improvisation
ERIC Educational Resources Information Center
McDaniel, Reuben R., Jr.
2007-01-01
Misspecification of the nature of organizations may be a major reason for difficulty in achieving performance improvement. Organizations are often viewed as machine-like, but complexity science suggests that organizations should be viewed as complex adaptive systems. I identify the characteristics of complex adaptive systems and give examples of…
Academic Achievement and Formal Thought in Engineering Students
ERIC Educational Resources Information Center
Vazquez, Stella Maris; de Anglat, Hilda Difabio
2009-01-01
Introduction: Research on university-level academic performance has significantly linked failure and dropping out to formal reasoning deficiency. We have not found any papers on formal thought in Argentine university students, in spite of the obvious shortcomings observed in the classrooms. Thus, the main objective of this paper was exploring the…
An Update on Academic Dismissal for Clinical Reasons.
ERIC Educational Resources Information Center
Price, Sheila S.; Andes, John O.
1990-01-01
Four due process cases in which judicial decisions were made about dental students' dismissals occurring as a result of poor clinical performance are reviewed. All decisions reiterate the opinion that educators are uniquely qualified to assess a student's academic achievement and professional development. The school's responsibility is also…
Pagliaro, Claudia M; Kritzer, Karen L
2013-04-01
Over decades and across grade levels, deaf/hard-of-hearing (d/hh) student performance in mathematics has shown a gap in achievement. It is unclear, however, exactly when this gap begins to emerge and in what areas. This study describes preschool d/hh children's knowledge of early mathematics concepts. Both standardized and nonstandardized measures were used to assess understanding in number, geometry, measurement, problem solving, and patterns, reasoning and algebra. Results present strong evidence that d/hh students' difficulty in mathematics may begin prior to the start of formal schooling. Findings also show areas of strength (geometry) and weakness (problem solving and measurement) for these children. Evidence of poor foundational performance may relate to later academic achievement.
Analysis of the Characteristics of a Rotary Stepper Micromotor
NASA Astrophysics Data System (ADS)
Sone, Junji; Mizuma, Toshinari; Masunaga, Masakazu; Mochizuki, Shunsuke; Sarajic, Edin; Yamahata, Christophe; Fujita, Hiroyuki
A 3-phase electrostatic stepper micromotor was developed. To improve its performance for actual use, we have conducted numerical simulation to optimize the design. An improved simulation method is needed for calculation of various cases. To conduct circuit simulation of this micromotor, its structure is simplified, and a function for computing the force excited by the electrostatic field is added to the circuit simulator. We achieved a reasonably accurate simulation. We also considered an optimal drive waveform to achieve low-voltage operation.
NASA Astrophysics Data System (ADS)
Brown, Norman Merrill
1998-09-01
Historically, researchers have reported an achievement difference between females and males on standardized science tests. These differences have been reported to be based upon science knowledge, abstract reasoning skills, mathematical abilities, and cultural and social phenomena. This research was designed to determine how mastery of specific science content from public school curricula might be evaluated with performance-based assessment models, without producing gender achievement differences. The assessment instruments used were Harcourt Brace Educational Measurement's GOALSsp°ler: A Performance-Based Measure of Achievement and the performance-based portion of the Stanford Achievement Testspcopyright, Ninth Edition. The identified independent variables were test, gender, ethnicity, and grade level. A 2 x 2 x 6 x 12 (test x gender x ethnicity x grade) factorial experimental design was used to organize the data. A stratified random sample (N = 2400) was selected from a national pool of norming data: N = 1200 from the GOALSsp°ler group and N = 1200 from the SAT9spcopyright group. The ANOVA analysis yielded mixed results. The factors of test, gender, ethnicity by grade, gender by grade, and gender by grade by ethnicity failed to produce significant results (alpha = 0.05). The factors yielding significant results were ethnicity, grade, and ethnicity by grade. Therefore, no significant differences were found between female and male achievement on these performance-based assessments.
The relative importance of two different mathematical abilities to mathematical achievement.
Nunes, Terezinha; Bryant, Peter; Barros, Rossana; Sylva, Kathy
2012-03-01
Two distinct abilities, mathematical reasoning and arithmetic skill, might make separate and specific contributions to mathematical achievement. However, there is little evidence to inform theory and educational practice on this matter. The aims of this study were (1) to assess whether mathematical reasoning and arithmetic make independent contributions to the longitudinal prediction of mathematical achievement over 5 years and (2) to test the specificity of this prediction. Data from Avon Longitudinal Study of Parents and Children (ALSPAC) were available on 2,579 participants for analyses of KS2 achievement and on 1,680 for the analyses of KS3 achievement. Hierarchical regression analyses were used to assess the independence and specificity of the contribution of mathematical reasoning and arithmetic skill to the prediction of achievement in KS2 and KS3 mathematics, science, and English. Age, intelligence, and working memory (WM) were controls in these analyses. Mathematical reasoning and arithmetic did make independent contributions to the prediction of mathematical achievement; mathematical reasoning was by far the stronger predictor of the two. These predictions were specific in so far as these measures were more strongly related to mathematics than to science or English. Intelligence and WM were non-specific predictors; intelligence contributed more to the prediction of science than of maths, and WM predicted maths and English equally well. There is clear justification for making a distinction between mathematical reasoning and arithmetic skills. The implication is that schools must plan explicitly to improve mathematical reasoning as well as arithmetic skills. ©2011 The British Psychological Society.
[[The Devil in the Details: Women's Right to Abortion and Health Organization].
Pioggia, Alessandra
Often a woman's right to terminate a pregnancy for health reasons is considered as achieved by simply performing the intervention. But today isn't in doubt that the effective protection of health requires that health organizations carrying out performance which also affect other aspects: taking charge of women, information on services, respect for the dignity and autonomy of women, etc ... You could say that these are details, compared to the final performance. But, as we know, often the devil is in the details.
Lifelong Learning, Income Inequality and Social Mobility in Singapore
ERIC Educational Resources Information Center
Lee, Millie; Morris, Paul
2016-01-01
Singapore has been assigned the role of a "model" nation state primarily for two reasons: its rapid rate of economic growth and its outstanding performance on cross-national tests of educational achievement, such as PISA. This has resulted in advocates of reform citing it as illustrating "best practices", especially in the…
Sex Differences in Secondary School Success: Why Female Students Perform Better
ERIC Educational Resources Information Center
Fischer, Franziska; Schult, Johannes; Hell, Benedikt
2013-01-01
School success is closely linked to intelligence but also to non-cognitive factors such as achievement motivation. The present study examines which non-cognitive factors predict secondary school grades and looks at reasons why female students tend to outperform their male counterparts. A sample of 554 German freshman students provided measures of…
ERIC Educational Resources Information Center
Jiang, Heng
2016-01-01
This study explores how pre-service teachers in Singapore, Hong Kong, Taiwan, and the United States perceive educational diversity in relation to students' academic achievement by means of qualitative content analysis. It takes cultural psychological perspectives to revisit the attribute reasoning embedded in individualist and collectivist…
Cognitive and numerosity predictors of mathematical skills in middle school.
Cirino, Paul T; Tolar, Tammy D; Fuchs, Lynn S; Huston-Warren, Emily
2016-05-01
There is a strong research base on the underlying concomitants of early developing math skills. Fewer studies have focused on later developing skills. Here, we focused on direct and indirect contributions of cognitive measures (e.g., language, spatial skills, working memory) and numerosity measures, as well as arithmetic proficiency, on key outcomes of fraction performance, proportional reasoning, and broad mathematics achievement at sixth grade (N=162) via path analysis. We expected a hierarchy of skill development, with predominantly indirect effects of cognitive factors via number and arithmetic. Results controlling for age showed that the combination of cognitive, number, and arithmetic variables cumulatively accounted for 38% to 44% of the variance in fractions, proportional reasoning, and broad mathematics. There was consistency across outcomes, with more proximal skills providing direct effects and with the effects of cognitive skills being mediated by number and by more proximal skills. Results support a hierarchical progression from domain-general cognitive processes through numerosity and arithmetic skills to proportional reasoning to broad mathematics achievement. Copyright © 2016 Elsevier Inc. All rights reserved.
ERIC Educational Resources Information Center
Hancock, Kirsten J.; Gottfried, Michael A.; Zubrick, Stephen R.
2018-01-01
While an emerging body of research has examined the effects of school absences on student outcomes, there is comparatively little research examining the different reasons contributing to school absence, how common these reasons are, and the extent to which different types of absences are differentially associated with achievement. To address these…
ERIC Educational Resources Information Center
Moody, Judith D.; Gifford, Vernon D.
This study investigated the grouping effect on student achievement in a chemistry laboratory when homogeneous and heterogeneous formal reasoning ability, high and low levels of formal reasoning ability, group sizes of two and four, and homogeneous and heterogeneous gender were used for grouping factors. The sample consisted of all eight intact…
Performance Monitoring of Diabetic Patient Systems
2001-10-25
a process delay that is due to the dynamics of the glucose sensor. A. Bergman Model The Bergman and AIDA models both utilize a \\minimal model...approxima- tion of the process must be made to achieve reasonable performance. A rst order approximation, ~g(s), of both the Bergman and AIDA models is...Within the IMC framework, both the Bergman and AIDA models can be controlled within acceptable toler- ances. The simulated faults are stochastic
Students' Achievement in Relation to Reasoning Ability, Prior Knowledge and Gender
ERIC Educational Resources Information Center
Yenilmez, Ayse; Sungur, Semra; Tekkaya, Ceren
2006-01-01
This study investigated students' achievement regarding photosynthesis and respiration in plants in relation to reasoning ability, prior knowledge and gender. A total of 117 eighth-grade students participated in the study. Test of logical thinking and the two-tier multiple choice tests were administered to determine students' reasoning ability and…
ERIC Educational Resources Information Center
Dagnino, Francesca Maria; Ballauri, Margherita; Benigno, Vincenza; Caponetto, Ilaria; Pesenti, Elia
2013-01-01
This paper presents the results of preliminary research on the assessment of reasoning abilities in primary school poor achievers vs. normal achievers using computer game tasks. Subjects were evaluated by means of cognitive assessment on logical abilities and academic skills. The aim of this study is to better understand the relationship between…
Filtering as a reasoning-control strategy: An experimental assessment
NASA Technical Reports Server (NTRS)
Pollack, Martha E.
1994-01-01
In dynamic environments, optimal deliberation about what actions to perform is impossible. Instead, it is sometimes necessary to trade potential decision quality for decision timeliness. One approach to achieving this trade-off is to endow intelligent agents with meta-level strategies that provide them guidance about when to reason (and what to reason about) and when to act. We describe our investigations of a particular meta-level reasoning strategy, filtering, in which an agent commits to the goals it has already adopted, and then filters from consideration new options that would conflict with the successful completion of existing goals. To investigate the utility of filtering, a series of experiments was conducted using the Tileworld testbed. Previous experiments conducted by Kinny and Georgeff used an earlier version of the Tileworld to demonstrate the feasibility of filtering. Results are presented that replicate and extend those of Kinny and Georgeff and demonstrate some significant environmental influences on the value of filtering.
A Fuzzy Reasoning Design for Fault Detection and Diagnosis of a Computer-Controlled System
Ting, Y.; Lu, W.B.; Chen, C.H.; Wang, G.K.
2008-01-01
A Fuzzy Reasoning and Verification Petri Nets (FRVPNs) model is established for an error detection and diagnosis mechanism (EDDM) applied to a complex fault-tolerant PC-controlled system. The inference accuracy can be improved through the hierarchical design of a two-level fuzzy rule decision tree (FRDT) and a Petri nets (PNs) technique to transform the fuzzy rule into the FRVPNs model. Several simulation examples of the assumed failure events were carried out by using the FRVPNs and the Mamdani fuzzy method with MATLAB tools. The reasoning performance of the developed FRVPNs was verified by comparing the inference outcome to that of the Mamdani method. Both methods result in the same conclusions. Thus, the present study demonstratrates that the proposed FRVPNs model is able to achieve the purpose of reasoning, and furthermore, determining of the failure event of the monitored application program. PMID:19255619
Assessing the potential for passive radio sounding of Europa and Ganymede with RIME and REASON
NASA Astrophysics Data System (ADS)
Schroeder, Dustin M.; Romero-Wolf, Andrew; Carrer, Leonardo; Grima, Cyril; Campbell, Bruce A.; Kofman, Wlodek; Bruzzone, Lorenzo; Blankenship, Donald D.
2016-12-01
Recent work has raised the potential for Jupiter's decametric radiation to be used as a source for passive radio sounding of its icy moons. Two radar sounding instruments, the Radar for Icy Moon Exploration (RIME) and the Radar for Europa Assessment and Sounding: Ocean to Near-surface (REASON) have been selected for ESA and NASA missions to Ganymede and Europa. Here, we revisit the projected performance of the passive sounding concept and assess the potential for its implementation as an additional mode for RIME and REASON. We find that the Signal to Noise Ratio (SNR) of passive sounding can approach or exceed that of active sounding in a noisy sub-Jovian environment, but that active sounding achieves a greater SNR in the presence of quiescent noise and outperforms passive sounding in terms of clutter. We also compare the performance of passive sounding at the 9 MHz HF center frequency of RIME and REASON to other frequencies within the Jovian decametric band. We conclude that the addition of a passive sounding mode on RIME or REASON stands to enhance their science return by enabling sub-Jovian HF sounding in the presence of decametric noise, but that there is not a compelling case for implementation at a different frequency.
Human capabilities in space. [man machine interaction
NASA Technical Reports Server (NTRS)
Nicogossian, A. E.
1984-01-01
Man's ability to live and perform useful work in space was demonstrated throughout the history of manned space flight. Current planning envisions a multi-functional space station. Man's unique abilities to respond to the unforeseen and to operate at a level of complexity exceeding any reasonable amount of previous planning distinguish him from present day machines. His limitations, however, include his inherent inability to survive without protection, his limited strength, and his propensity to make mistakes when performing repetitive and monotonous tasks. By contrast, an automated system does routine and delicate tasks, exerts force smoothly and precisely, stores, and recalls large amounts of data, and performs deductive reasoning while maintaining a relative insensitivity to the environment. The establishment of a permanent presence of man in space demands that man and machines be appropriately combined in spaceborne systems. To achieve this optimal combination, research is needed in such diverse fields as artificial intelligence, robotics, behavioral psychology, economics, and human factors engineering.
Enhancing the Performance of Learning-Disabled Children by Dint of Theatre Education
ERIC Educational Resources Information Center
Kumar, S. Praveen; Raja, B. William Dharma
2009-01-01
In schools, teachers come across pupils who have diverse abilities and special needs. Some of the learners achieve high and some may lag behind in their learning. They may face learning problems such as difficulties in listening, speaking, thinking, reading, writing, spelling, reasoning, calculating or social skills. It is a great challenge on the…
ERIC Educational Resources Information Center
Hunt, Jessica; Westenskow, Arla; Moyer-Packenham, Patricia S.
2017-01-01
For children with persistent mathematics difficulties, research and practice espouses that an altered kind of mathematics instruction is necessary due to sustained performance differences. Yet, a critical issue in mathematics education rests in the question of why research locates the problem within these children. In this paper, we challenge a…
ERIC Educational Resources Information Center
Calvin, Catherine M.; Fernandes, Cres; Smith, Pauline; Visscher, Peter M.; Deary, Ian J.
2010-01-01
General cognitive ability ("g") does not explain sex differences in academic test performance by the end of compulsory education. Instead, individual differences in specific reasoning abilities, after removing the effects of "g," may contribute to the observed gender gaps. Associations between general or specific cognitive…
ERIC Educational Resources Information Center
Kretschmann, Julia; Vock, Miriam; Lüdtke, Oliver
2014-01-01
Using German data, we examined the effects of one specific type of acceleration--grade skipping--on academic performance. Prior research on the effects of acceleration has suffered from methodological restrictions, especially due to a lack of appropriate comparison groups and a priori measurements. For this reason, propensity score matching was…
ERIC Educational Resources Information Center
Renth, Beth A.; Buckley, Phillip; Puchner, Laurel
2015-01-01
A wide range of research has been conducted regarding reasons for the achievement gap between low income students and higher income students, but there is limited research regarding parental perspectives, and particularly fewer studies of parental perceptions of low-income, rural elementary school parents. This study examined the extent to which…
The Stability of Learners' Choices for Real-Life Situations to Be Used in Mathematics
ERIC Educational Resources Information Center
Julie, Cyril
2013-01-01
One of the efforts to improve and enhance the performance and achievement in mathematics of learners is the incorporation of life-related contexts in mathematics teaching and assessments. These contexts are normally, with good reasons, decided upon by curriculum makers, textbook authors, teachers and constructors of examinations and tests.…
ERIC Educational Resources Information Center
Gligorovic, Milica; Buha, Natasa
2013-01-01
Background: The ability to generate and flexibly change concepts is of great importance for the development of academic and adaptive skills. This paper analyses the conceptual reasoning ability of children with mild intellectual disability (MID) by their achievements on the Wisconsin Card Sorting Test (WCST). Method: The sample consisted of 95…
NASA Astrophysics Data System (ADS)
Sumarno; Ibrahim, M.; Supardi, Z. A. I.
2018-03-01
The application of a systems approach to assessing biological systems provides hope for a coherent understanding of cell dynamics patterns and their relationship to plant life. This action required the reasoning about complex systems. In other sides, there were a lot of researchers who provided the proof about the instructional successions. They involved the multiple external representations which improved the biological learning. The researcher conducted an investigation using one shoot case study design which involved 30 students in proving that the MERs worksheets could affect the student's achievement of reasoning about complex system. The data had been collected based on test of reasoning about complex system and student's identification result who worked through MERs. The result showed that only partially students could achieve reasoning about system complex, but their MERs skill could support their reasoning ability of complex system. This study could bring a new hope to develop the MERs worksheet as a tool to facilitate the reasoning about complex system.
Parallelization of ARC3D with Computer-Aided Tools
NASA Technical Reports Server (NTRS)
Jin, Haoqiang; Hribar, Michelle; Yan, Jerry; Saini, Subhash (Technical Monitor)
1998-01-01
A series of efforts have been devoted to investigating methods of porting and parallelizing applications quickly and efficiently for new architectures, such as the SCSI Origin 2000 and Cray T3E. This report presents the parallelization of a CFD application, ARC3D, using the computer-aided tools, Cesspools. Steps of parallelizing this code and requirements of achieving better performance are discussed. The generated parallel version has achieved reasonably well performance, for example, having a speedup of 30 for 36 Cray T3E processors. However, this performance could not be obtained without modification of the original serial code. It is suggested that in many cases improving serial code and performing necessary code transformations are important parts for the automated parallelization process although user intervention in many of these parts are still necessary. Nevertheless, development and improvement of useful software tools, such as Cesspools, can help trim down many tedious parallelization details and improve the processing efficiency.
ERIC Educational Resources Information Center
Hodis, Flaviu A.; Tait, Carolyn; Hodis, Georgeta M.; Hodis, Monica A.; Scornavacca, Eusebio
2016-01-01
This research investigated the interrelations among achievement goals and the underlying reasons for pursuing them. To do so, it utilized the framework of goal complexes, which are regulatory constructs defined at the intersection of aims and reasons. Data from two independent large samples of New Zealand university students showed that across…
ERIC Educational Resources Information Center
Stevenson, Claire E.; Bergwerff, Catharina E.; Heiser, Willem J.; Resing, Wilma C. M.
2014-01-01
Working memory and inductive reasoning ability each appear related to children's achievement in math and reading. Dynamic measures of reasoning, based on an assessment procedure including feedback, may provide additional predictive value. The aim of this study was to investigate whether working memory and dynamic measures of analogical…
ERIC Educational Resources Information Center
Thuneberg, Helena; Hautamäki, Jarkko; Hotulainen, Risto
2015-01-01
The relationships between reasoning and school achievement were studied taking into account the multilevel nature (school- and class-levels) of the data. We gathered data from 51 classes at seven schools in metropolitan and Eastern Finland (N = 769, 395 males, 15-year-old students). To study scientific reasoning, we used a modified version of…
Chuderski, Adam; Andrelczyk, Krzysztof
2015-02-01
Several existing computational models of working memory (WM) have predicted a positive relationship (later confirmed empirically) between WM capacity and the individual ratio of theta to gamma oscillatory band lengths. These models assume that each gamma cycle represents one WM object (e.g., a binding of its features), whereas the theta cycle integrates such objects into the maintained list. As WM capacity strongly predicts reasoning, it might be expected that this ratio also predicts performance in reasoning tasks. However, no computational model has yet explained how the differences in the theta-to-gamma ratio found among adult individuals might contribute to their scores on a reasoning test. Here, we propose a novel model of how WM capacity constraints figural analogical reasoning, aimed at explaining inter-individual differences in reasoning scores in terms of the characteristics of oscillatory patterns in the brain. In the model, the gamma cycle encodes the bindings between objects/features and the roles they play in the relations processed. Asynchrony between consecutive gamma cycles results from lateral inhibition between oscillating bindings. Computer simulations showed that achieving the highest WM capacity required reaching the optimal level of inhibition. When too strong, this inhibition eliminated some bindings from WM, whereas, when inhibition was too weak, the bindings became unstable and fell apart or became improperly grouped. The model aptly replicated several empirical effects and the distribution of individual scores, as well as the patterns of correlations found in the 100-people sample attempting the same reasoning task. Most importantly, the model's reasoning performance strongly depended on its theta-to-gamma ratio in same way as the performance of human participants depended on their WM capacity. The data suggest that proper regulation of oscillations in the theta and gamma bands may be crucial for both high WM capacity and effective complex cognition. Copyright © 2015 The Authors. Published by Elsevier Inc. All rights reserved.
Differences in medical students' academic interest and performance across career choice motivations.
Kim, Kyong-Jee; Hwang, Jee Y; Kwon, Bum S
2016-02-15
To investigate medical students' career choice motivation and its relationship with their academic interest and performance. We conducted a cross-sectional study in a sample (n=207) of medical students at a private medical school in Korea, stratified by year of medical course. Data about participant demographics, career choice motivation and academic interest were collected using a self-report questionnaire. The item on career choice motivation enquired about the respondents' main reason for applying for medical school among 8 possible response options, which comprised two components of career choice motivation: intrinsic and extrinsic. The participants' levels of academic interest were measured in a Likert-type question. Participants' academic interest and Grade Point Averages (GPAs) were compared across the groups of different career motivations along with analyses of their admission scores for baseline comparisons. A total of 195 students completed the questionnaire (94%response rate). Seventy-four percent, (n=145; the intrinsic group) of the participants chose reasons related to intrinsic motivation, 22% (n=42; the extrinsic group) chose reasons pertaining to extrinsic motivation, and 4% (n = 8) chose other reasons for applying to medical school. The intrinsic group outperformed the extrinsic group in their GPAs, although their prior academic achievements did not differ significantly. The intrinsic group showed significantly higher levels of academic interest and also performed better in the admission interviews. Our study illustrates differences in medical students' academic interest and performance across career choice motivations. Further research is warranted to establish the predictive power of medical students' career choice motivation and academic interest on their academic performance.
Differences in medical students’ academic interest and performance across career choice motivations
Kim, Kyong-Jee; Hwang, Jee Y.
2016-01-01
Objectives To investigate medical students’ career choice motivation and its relationship with their academic interest and performance. Methods We conducted a cross-sectional study in a sample (n=207) of medical students at a private medical school in Korea, stratified by year of medical course. Data about participant demographics, career choice motivation and academic interest were collected using a self-report questionnaire. The item on career choice motivation enquired about the respondents’ main reason for applying for medical school among 8 possible response options, which comprised two components of career choice motivation: intrinsic and extrinsic. The participants’ levels of academic interest were measured in a Likert-type question. Participants’ academic interest and Grade Point Averages (GPAs) were compared across the groups of different career motivations along with analyses of their admission scores for baseline comparisons. Results A total of 195 students completed the questionnaire (94%response rate). Seventy-four percent, (n=145; the intrinsic group) of the participants chose reasons related to intrinsic motivation, 22% (n=42; the extrinsic group) chose reasons pertaining to extrinsic motivation, and 4% (n = 8) chose other reasons for applying to medical school. The intrinsic group outperformed the extrinsic group in their GPAs, although their prior academic achievements did not differ significantly. The intrinsic group showed significantly higher levels of academic interest and also performed better in the admission interviews. Conclusions Our study illustrates differences in medical students’ academic interest and performance across career choice motivations. Further research is warranted to establish the predictive power of medical students’ career choice motivation and academic interest on their academic performance. PMID:26878567
Has NCLB Encouraged Educational Triage? Accountability and the Distribution of Achievement Gains
ERIC Educational Resources Information Center
Ballou, Dale; Springer, Matthew G.
2017-01-01
The No Child Left Behind Act (NCLB) has been criticized for encouraging schools to neglect students whose performance exceeds the proficiency threshold or lies so far below it that there is no reasonable prospect of closing the gap during the current year. We examine this hypothesis using longitudinal data from 2002-03 through 2005-06. Our…
ERIC Educational Resources Information Center
Azigwe, John Bosco
2016-01-01
International surveys of student achievement are becoming increasingly popular with governments around the world, as they try to measure the performance of their country's education system. The main reason for this trend is the shared opinion that countries will need to be able to compete in the "knowledge economy" to assure the economic…
The Right Test for the Wrong Reason
ERIC Educational Resources Information Center
Popham, W. James
2014-01-01
The tests we use to evaluate student achievement may well be sound measures of what students know, but they are faulty indicators at best of how well they have been taught. A remedy to this this situation of judging teachers by the performance of their students on high-stakes tests may be in hand already. We should look to the methods successfully…
ERIC Educational Resources Information Center
Keller, Michael J.
Freshmen who received less than a 2.0 grade average during their first semester at college were asked to indicate on a written questionnaire the extent to which 68 factors were or were not a reason for their poor academic performance. Respondents were also encouraged to supply additional observations about their educational experiences that seemed…
ERIC Educational Resources Information Center
Liao, Ying; Lin, Wen-He
2016-01-01
In the era when digitalization is pursued, numbers are the major medium of information performance and statistics is the primary instrument to interpret and analyze numerical information. For this reason, the cultivation of fundamental statistical literacy should be a key in the learning area of mathematics at the stage of compulsory education.…
Pseudo-Science and a Sound Basic Education: Voodoo Statistics in New York
ERIC Educational Resources Information Center
Hanushek, Eric
2005-01-01
The education problems in New York City (and a number of other jurisdictions that face court financing challenges) are real and important. Many people would indeed be willing to put more money into New York City schools (or any poorly performing school for that matter) if they had any reason to believe that students' achievement would improve…
In Their Own Words: Reasons Underlying the Achievement Striving of Students in Schools
ERIC Educational Resources Information Center
Lee, Minhye; Bong, Mimi
2016-01-01
By analyzing the open-ended reasons for studying generated by 3 different groups of Korean middle school students, we aimed to provide partial answers to current issues in achievement goal research that are difficult to resolve solely with the use of survey ratings. We categorized student responses using the achievement goal frameworks of Midgley…
Wang, Li; Sun, Yuhua; Zhou, Xinlin
2016-01-01
Previous studies have observed inconsistent relations between the acuity of the Approximate Number System (ANS) and mathematical achievement. In this paper, we hypothesize that the relation between ANS acuity and mathematical achievement is influenced by fluency; that is, the mathematical achievement test covering a greater expanse of mathematical fluency may better reflect the relation between ANS acuity and mathematics skills. We explored three types of mathematical achievement tests utilized in this study: Subtraction, graded, and semester-final examination. The subtraction test was designed to measure the mathematical fluency. The graded test was more fluency-based than the semester-final examination, but both involved the same mathematical knowledge from the class curriculum. A total of 219 fifth graders from primary schools were asked to perform all three tests, then given a numerosity comparison task, a visual form perception task (figure matching), and a series of other tasks to assess general cognitive processes (mental rotation, non-verbal matrix reasoning, and choice reaction time). The findings were consistent with our expectations. The relation between ANS acuity and mathematical achievement was particularly clearly reflected in the participants’ performance on the visual form perception task, which supports the domain-general explanations for the underlying mechanisms of the relation between ANS acuity and math achievement. PMID:28066291
A simulation-based study of HighSpeed TCP and its deployment
DOE Office of Scientific and Technical Information (OSTI.GOV)
Souza, Evandro de
2003-05-01
The current congestion control mechanism used in TCP has difficulty reaching full utilization on high speed links, particularly on wide-area connections. For example, the packet drop rate needed to fill a Gigabit pipe using the present TCP protocol is below the currently achievable fiber optic error rates. HighSpeed TCP was recently proposed as a modification of TCP's congestion control mechanism to allow it to achieve reasonable performance in high speed wide-area links. In this research, simulation results showing the performance of HighSpeed TCP and the impact of its use on the present implementation of TCP are presented. Network conditions includingmore » different degrees of congestion, different levels of loss rate, different degrees of bursty traffic and two distinct router queue management policies were simulated. The performance and fairness of HighSpeed TCP were compared to the existing TCP and solutions for bulk-data transfer using parallel streams.« less
Visual Form Perception Can Be a Cognitive Correlate of Lower Level Math Categories for Teenagers.
Cui, Jiaxin; Zhang, Yiyun; Cheng, Dazhi; Li, Dawei; Zhou, Xinlin
2017-01-01
Numerous studies have assessed the cognitive correlates of performance in mathematics, but little research has been conducted to systematically examine the relations between visual perception as the starting point of visuospatial processing and typical mathematical performance. In the current study, we recruited 223 seventh graders to perform a visual form perception task (figure matching), numerosity comparison, digit comparison, exact computation, approximate computation, and curriculum-based mathematical achievement tests. Results showed that, after controlling for gender, age, and five general cognitive processes (choice reaction time, visual tracing, mental rotation, spatial working memory, and non-verbal matrices reasoning), visual form perception had unique contributions to numerosity comparison, digit comparison, and exact computation, but had no significant relation with approximate computation or curriculum-based mathematical achievement. These results suggest that visual form perception is an important independent cognitive correlate of lower level math categories, including the approximate number system, digit comparison, and exact computation.
Phelps, R P
2001-08-01
This article describes the education quality control systems (for mathematics) used by those countries that performed best on the Third International Mathematics and Science Study (TIMSS). Enforced quality control measures are defined as "decision points"--where adherence to the curriculum and instruction system can be reinforced. Most decision points involve stakes for the student, teacher, or school. They involve potential consequences for failure to adhere to the system and to follow the program at a reasonable pace. Generally, countries with more decision points perform better on the TIMSS. When the number of decision points and TIMSS test scores are adjusted for country wealth, the relationship between the degree of (enforced) quality control and student achievement appears to be positive and exponential. The more (enforced) quality control measures employed in an education system, the greater is students' academic achievement.
ERIC Educational Resources Information Center
Msimanga, Audrey; Denley, Paul; Gumede, Nhlakanipho
2017-01-01
One of the objectives of the South African science curriculum is to provide equal access to science for students from all backgrounds. However, this goal remains elusive as many students, particularly those from low socio-economic backgrounds, continue to perform poorly in science. One of the reasons for the persistent differential achievement in…
ERIC Educational Resources Information Center
Silver, Edward A.; Lane, Suzanne
Issues of educational equity and quality are explored in the context of the Quantitative Understanding: Amplifying Student Achievement and Reasoning (QUASAR) project, a national educational reform project aimed at fostering and studying the development and implementation of enhanced mathematics instructional programs for students attending middle…
Alternate Care Sites for the Management of Medical Surge in Disasters
2013-12-01
CLASSIFICATION OF ABSTRACT Unclassified 20. LIMITATION OF ABSTRACT UU NSN 7540-01-280-5500 Standard Form 298 (Rev. 2-89) Prescribed by ANSI Std...Figure 1. Hierarchy of Requests (From California Department of Public Health Standards and Guidelines for Healthcare Surge during Emergencies Hospital...requirements, financial, risk management and safety reasons and others for the performance standards that are achieved through the accreditation
A Model-based Approach to Reactive Self-Configuring Systems
NASA Technical Reports Server (NTRS)
Williams, Brian C.; Nayak, P. Pandurang
1996-01-01
This paper describes Livingstone, an implemented kernel for a self-reconfiguring autonomous system, that is reactive and uses component-based declarative models. The paper presents a formal characterization of the representation formalism used in Livingstone, and reports on our experience with the implementation in a variety of domains. Livingstone's representation formalism achieves broad coverage of hybrid software/hardware systems by coupling the concurrent transition system models underlying concurrent reactive languages with the discrete qualitative representations developed in model-based reasoning. We achieve a reactive system that performs significant deductions in the sense/response loop by drawing on our past experience at building fast prepositional conflict-based algorithms for model-based diagnosis, and by framing a model-based configuration manager as a prepositional, conflict-based feedback controller that generates focused, optimal responses. Livingstone automates all these tasks using a single model and a single core deductive engine, thus making significant progress towards achieving a central goal of model-based reasoning. Livingstone, together with the HSTS planning and scheduling engine and the RAPS executive, has been selected as the core autonomy architecture for Deep Space One, the first spacecraft for NASA's New Millennium program.
Multistatic GNSS Receiver Array for Passive Air Surveillance
NASA Astrophysics Data System (ADS)
Wachtl, Stefan; Koch, Volker; Westphal, Robert; Schmidt, Lorenz-Peter
2016-03-01
The performance of a passive air surveillance sensor based on Global Navigation Satellite Systems (GNSS) is mainly limited by the receiver noise efficiency, the achievable signal processing gain and the radar cross section (RCS) of an airplane. For surveillance applications large detection ranges as well as a high probability of detection are crucial parameters. Due to the very low GNSS signal powers received on the earth's surface, high radar cross sections are mandatory to achieve detection ranges for airplanes at some kilometers distance. This paper will discuss a multistatic transmitter and receiver arrangement, which is indispensable to get a reasonable detection rate with respect to a hemispheric field of view. The strong performance dependency of such a sensor on the number of transmitters and receivers will be shown by means of some exemplary simulation results.
Perera, Harsha N
2016-01-01
Considerable debate still exists among scholars over the role of trait emotional intelligence (TEI) in academic performance. The dominant theoretical position is that TEI should be orthogonal or only weakly related to achievement; yet, there are strong theoretical reasons to believe that TEI plays a key role in performance. The purpose of the current article is to provide (a) an overview of the possible theoretical mechanisms linking TEI with achievement and (b) an update on empirical research examining this relationship. To elucidate these theoretical mechanisms, the overview draws on multiple theories of emotion and regulation, including TEI theory, social-functional accounts of emotion, and expectancy-value and psychobiological model of emotion and regulation. Although these theoretical accounts variously emphasize different variables as focal constructs, when taken together, they provide a comprehensive picture of the possible mechanisms linking TEI with achievement. In this regard, the article redresses the problem of vaguely specified theoretical links currently hampering progress in the field. The article closes with a consideration of directions for future research.
NASA Astrophysics Data System (ADS)
Câmara, F.; Oliveira, J.; Hormigo, T.; Araújo, J.; Ribeiro, R.; Falcão, A.; Gomes, M.; Dubois-Matra, O.; Vijendran, S.
2015-06-01
This paper discusses the design and evaluation of data fusion strategies to perform tiered fusion of several heterogeneous sensors and a priori data. The aim is to increase robustness and performance of hazard detection and avoidance systems, while enabling safe planetary and small body landings anytime, anywhere. The focus is on Mars and asteroid landing mission scenarios and three distinct data fusion algorithms are introduced and compared. The first algorithm consists of a hybrid camera-LIDAR hazard detection and avoidance system, the H2DAS, in which data fusion is performed at both sensor-level data (reconstruction of the point cloud obtained with a scanning LIDAR using the navigation motion states and correcting the image for motion compensation using IMU data), feature-level data (concatenation of multiple digital elevation maps, obtained from consecutive LIDAR images, to achieve higher accuracy and resolution maps while enabling relative positioning) as well as decision-level data (fusing hazard maps from multiple sensors onto a single image space, with a single grid orientation and spacing). The second method presented is a hybrid reasoning fusion, the HRF, in which innovative algorithms replace the decision-level functions of the previous method, by combining three different reasoning engines—a fuzzy reasoning engine, a probabilistic reasoning engine and an evidential reasoning engine—to produce safety maps. Finally, the third method presented is called Intelligent Planetary Site Selection, the IPSIS, an innovative multi-criteria, dynamic decision-level data fusion algorithm that takes into account historical information for the selection of landing sites and a piloting function with a non-exhaustive landing site search capability, i.e., capable of finding local optima by searching a reduced set of global maps. All the discussed data fusion strategies and algorithms have been integrated, verified and validated in a closed-loop simulation environment. Monte Carlo simulation campaigns were performed for the algorithms performance assessment and benchmarking. The simulations results comprise the landing phases of Mars and Phobos landing mission scenarios.
Optical fiber sensors: Accelerating applications in Navy ships
NASA Astrophysics Data System (ADS)
Day, G. W.; Lovely, P. S.; Whitesel, H. K.; Hickernell, R. K.
1994-05-01
The Navy needs new sensors for shipboard machinery monitoring and control, condition-based maintenance, and damage assessment. Optical fiber sensors are strongly preferred because of their immunity to electrical disturbances, as well as potential size, weight, and performance advantages. But despite well over a decade of development and promise, relatively few optical fiber sensors available today can meet the Navy's needs with acceptable performance and cost. This report examines the reasons and recommends strategies to help the Navy achieve its goals. Some of the recommendations confirm approaches that the Navy is already implementing. Optical fiber sensors have very valuable potential advantages, but those that the Navy can use may remain too expensive to be deployed if the Navy uses traditional methods of writing specifications and soliciting development and procurement bids. For this reason, the study focuses on cooperation with industry and promoting commercial off-the-shelf and dual-use technology.
Bidirectional Elastic Image Registration Using B-Spline Affine Transformation
Gu, Suicheng; Meng, Xin; Sciurba, Frank C.; Wang, Chen; Kaminski, Naftali; Pu, Jiantao
2014-01-01
A registration scheme termed as B-spline affine transformation (BSAT) is presented in this study to elastically align two images. We define an affine transformation instead of the traditional translation at each control point. Mathematically, BSAT is a generalized form of the affine transformation and the traditional B-Spline transformation (BST). In order to improve the performance of the iterative closest point (ICP) method in registering two homologous shapes but with large deformation, a bi-directional instead of the traditional unidirectional objective / cost function is proposed. In implementation, the objective function is formulated as a sparse linear equation problem, and a sub-division strategy is used to achieve a reasonable efficiency in registration. The performance of the developed scheme was assessed using both two-dimensional (2D) synthesized dataset and three-dimensional (3D) volumetric computed tomography (CT) data. Our experiments showed that the proposed B-spline affine model could obtain reasonable registration accuracy. PMID:24530210
A common layer of interoperability for biomedical ontologies based on OWL EL.
Hoehndorf, Robert; Dumontier, Michel; Oellrich, Anika; Wimalaratne, Sarala; Rebholz-Schuhmann, Dietrich; Schofield, Paul; Gkoutos, Georgios V
2011-04-01
Ontologies are essential in biomedical research due to their ability to semantically integrate content from different scientific databases and resources. Their application improves capabilities for querying and mining biological knowledge. An increasing number of ontologies is being developed for this purpose, and considerable effort is invested into formally defining them in order to represent their semantics explicitly. However, current biomedical ontologies do not facilitate data integration and interoperability yet, since reasoning over these ontologies is very complex and cannot be performed efficiently or is even impossible. We propose the use of less expressive subsets of ontology representation languages to enable efficient reasoning and achieve the goal of genuine interoperability between ontologies. We present and evaluate EL Vira, a framework that transforms OWL ontologies into the OWL EL subset, thereby enabling the use of tractable reasoning. We illustrate which OWL constructs and inferences are kept and lost following the conversion and demonstrate the performance gain of reasoning indicated by the significant reduction of processing time. We applied EL Vira to the open biomedical ontologies and provide a repository of ontologies resulting from this conversion. EL Vira creates a common layer of ontological interoperability that, for the first time, enables the creation of software solutions that can employ biomedical ontologies to perform inferences and answer complex queries to support scientific analyses. The EL Vira software is available from http://el-vira.googlecode.com and converted OBO ontologies and their mappings are available from http://bioonto.gen.cam.ac.uk/el-ont.
ERIC Educational Resources Information Center
Ozdemir Oz, Ayse; Lane, Jennie F.; Michou, Aikaterini
2016-01-01
The aim of this study was to investigate the relation of autonomous and controlling reasons underlying an endorsed achievement goal to intrinsic motivation and cheating. The endorsement of the achievement goal was ensured by involving 212 (M(subscript age) = 19.24, SD = 0.97) freshman students in a spatial task and asking them to report their most…
Starr, Ariel; Vendetti, Michael S; Bunge, Silvia A
2018-05-01
Analogical reasoning is considered a key driver of cognitive development and is a strong predictor of academic achievement. However, it is difficult for young children, who are prone to focusing on perceptual and semantic similarities among items rather than relational commonalities. For example, in a classic A:B::C:? propositional analogy task, children must inhibit attention towards items that are visually or semantically similar to C, and instead focus on finding a relational match to the A:B pair. Competing theories of reasoning development attribute improvements in children's performance to gains in either executive functioning or semantic knowledge. Here, we sought to identify key drivers of the development of analogical reasoning ability by using eye gaze patterns to infer problem-solving strategies used by six-year-old children and adults. Children had a greater tendency than adults to focus on the immediate task goal and constrain their search based on the C item. However, large individual differences existed within children, and more successful reasoners were able to maintain the broader goal in mind and constrain their search by initially focusing on the A:B pair before turning to C and the response choices. When children adopted this strategy, their attention was drawn more readily to the correct response option. Individual differences in children's reasoning ability were also related to rule-guided behavior but not to semantic knowledge. These findings suggest that both developmental improvements and individual differences in performance are driven by the use of more efficient reasoning strategies regarding which information is prioritized from the start, rather than the ability to disengage from attractive lure items. Copyright © 2018 Elsevier B.V. All rights reserved.
Baweja, Raman; Mattison, Richard E; Waxmonsky, James G
2015-12-01
Attention-deficit hyperactivity disorder (ADHD) affects an estimated 5-7 % of schoolchildren worldwide. School functioning and academic achievement are frequently impaired by ADHD and represent one of the main reasons children start ADHD medication. Multiple potential causal pathways exist between ADHD and impaired school performance. In this review, we decompose school performance into three components and assess the impact of ADHD and its treatments on academic performance (assessed by grade point average [GPA], time on-task, percentage of work completed as well as percent completed correctly), academic skills (as measured by achievement tests and cognitive measures), and academic enablers (such as study skills, motivation, engagement, classroom behavior and interpersonal skills). Most studies examined only the short-term effects of medication on school performance. In these, ADHD medications have been observed to improve some aspects of school performance, with the largest impact on measures of academic performance such as seatwork productivity and on-task performance. In a subset of children, these benefits may translate into detectable improvements in GPA and achievement testing. However, limited data exists to support whether these changes are sustained over years. Optimizing medication effects requires periodic reassessment of school performance, necessitating a collaborative effort involving patients, parents, school staff and prescribers. Even with systematic reassessment, behavioral-based treatments and additional school-based services may be needed to maximize academic performance for the many youth with ADHD and prominent impairments in school performance.
NASA Astrophysics Data System (ADS)
Zhang, Wei; Li, Chuanhao; Peng, Gaoliang; Chen, Yuanhang; Zhang, Zhujun
2018-02-01
In recent years, intelligent fault diagnosis algorithms using machine learning technique have achieved much success. However, due to the fact that in real world industrial applications, the working load is changing all the time and noise from the working environment is inevitable, degradation of the performance of intelligent fault diagnosis methods is very serious. In this paper, a new model based on deep learning is proposed to address the problem. Our contributions of include: First, we proposed an end-to-end method that takes raw temporal signals as inputs and thus doesn't need any time consuming denoising preprocessing. The model can achieve pretty high accuracy under noisy environment. Second, the model does not rely on any domain adaptation algorithm or require information of the target domain. It can achieve high accuracy when working load is changed. To understand the proposed model, we will visualize the learned features, and try to analyze the reasons behind the high performance of the model.
Online assessment of risk factors for dementia and cognitive function in healthy adults.
Huntley, J; Corbett, A; Wesnes, K; Brooker, H; Stenton, R; Hampshire, A; Ballard, C
2018-02-01
Several potentially modifiable risk factors for cognitive decline and dementia have been identified, including low educational attainment, smoking, diabetes, physical inactivity, hypertension, midlife obesity, depression, and perceived social isolation. Managing these risk factors in late midlife and older age may help reduce the risk of dementia; however, it is unclear whether these factors also relate to cognitive performance in older individuals without dementia. Data from 14 201 non-demented individuals aged >50 years who enrolled in the online PROTECT study were used to examine the relationship between cognitive function and known modifiable risk factors for dementia. Multivariate regression analyses were conducted on 4 cognitive outcomes assessing verbal and spatial working memory, visual episodic memory, and verbal reasoning. Increasing age was associated with reduced performance across all tasks. Higher educational achievement, the presence of a close confiding relationship, and moderate alcohol intake were associated with benefits across all 4 cognitive tasks, and exercise was associated with better performance on verbal reasoning and verbal working memory tasks. A diagnosis of depression was negatively associated with performance on visual episodic memory and working memory tasks, whereas being underweight negatively affected performance on all tasks apart from verbal working memory. A history of stroke was negatively associated with verbal reasoning and working memory performance. Known modifiable risk factors for dementia are associated with cognitive performance in non-demented individuals in late midlife and older age. This provides further support for public health interventions that seek to manage these risk factors across the lifespan. Copyright © 2017 John Wiley & Sons, Ltd.
Liou, Shwu-Ru; Liu, Hsiu-Chen; Tsai, Shu-Ling; Cheng, Ching-Yu; Yu, Wei-Chieh; Chu, Tsui-Ping
2016-04-01
Critical thinking skills and clinical competence are for providing quality patient care. The purpose of this study is to develop the Computerized Model of Performance-Based Measurement system based on the Clinical Reasoning Model. The system can evaluate and identify learning needs for clinical competency and be used as a learning tool to increase clinical competency by using computers. The system includes 10 high-risk, high-volume clinical case scenarios coupled with questions testing clinical reasoning, interpersonal, and technical skills. Questions were sequenced to reflect patients' changing condition and arranged by following the process of collecting and managing information, diagnosing and differentiating urgency of problems, and solving problems. The content validity and known-groups validity was established. The Kuder-Richardson Formula 20 was 0.90 and test-retest reliability was supported (r = 0.78). Nursing educators can use the system to understand students' needs for achieving clinical competence, and therefore, educational plans can be made to better prepare students and facilitate their smooth transition to a future clinical environment. Clinical nurses can use the system to evaluate their performance-based abilities and weakness in clinical reasoning. Appropriate training programs can be designed and implemented to practically promote nurses' clinical competence and quality of patient care.
TEXSYS. [a knowledge based system for the Space Station Freedom thermal control system test-bed
NASA Technical Reports Server (NTRS)
Bull, John
1990-01-01
The Systems Autonomy Demonstration Project has recently completed a major test and evaluation of TEXSYS, a knowledge-based system (KBS) which demonstrates real-time control and FDIR for the Space Station Freedom thermal control system test-bed. TEXSYS is the largest KBS ever developed by NASA and offers a unique opportunity for the study of technical issues associated with the use of advanced KBS concepts including: model-based reasoning and diagnosis, quantitative and qualitative reasoning, integrated use of model-based and rule-based representations, temporal reasoning, and scale-up performance issues. TEXSYS represents a major achievement in advanced automation that has the potential to significantly influence Space Station Freedom's design for the thermal control system. An overview of the Systems Autonomy Demonstration Project, the thermal control system test-bed, the TEXSYS architecture, preliminary test results, and thermal domain expert feedback are presented.
Development of nickel hydrogen battery expert system
NASA Technical Reports Server (NTRS)
Shiva, Sajjan G.
1990-01-01
The Hubble Telescope Battery Testbed employs the nickel-cadmium battery expert system (NICBES-2) which supports the evaluation of performances of Hubble Telescope spacecraft batteries and provides alarm diagnosis and action advice. NICBES-2 also provides a reasoning system along with a battery domain knowledge base to achieve this battery health management function. An effort to modify NICBES-2 to accommodate nickel-hydrogen battery environment in testbed is described.
2011-04-25
must adapt its planning to vehicle size, shape, wheelbase, wheel and axle configuration, the specific obstacle-crossing capabilities of the vehicle...scalability of the ANS is a consequence of making each sensing modality capable of performing reasonable perception tasks while allowing a wider...autonomous system design achieves flexibility by exploiting redundant sensing modalities where possible, and by a decision-making process that
ERIC Educational Resources Information Center
Kablan, Zeynel
2010-01-01
The aim of this study is to define whether using exercise-based games increase the performance of learning. For this reason, two basic questions were tried to be answered in the study. First, is there any difference in learning between the group that was given exercise-based games and the group that was not? Second, is there any difference in…
The 64 meter antenna operation at K sub A band
NASA Technical Reports Server (NTRS)
Potter, P. D.
1980-01-01
The future potential of the 32 GHz K sub A band frequency region to planetary exploration, and the expected performance of the 64 m antenna network at 32 GHz is addressed. A modest level of noninterference upgrade work is assumed to achieve reasonable antenna aperture efficiency and alleviate antenna pointing difficulties. Electronic compensation of antenna aperture phasing errors is briefly considered as an alternative to the physical upgrade.
Towards active capsular endoscopy: preliminary results on a legged platform.
Menciassi, Arianna; Stefanini, Cesare; Orlandi, Giovanni; Quirini, Marco; Dario, Paolo
2006-01-01
This paper illustrates the problem of active locomotion in the gastrointestinal tract for endoscopic capsules. Authors analyze the problem of locomotion in unstructured, flexible and tubular environments and explain the reasons leading to the selection of a legged system. They present a theoretical simulation of legged capsule locomotion, which is used to define the optimal parameters for capsule design and gait selection. Finally, a legged capsule--about 3 cm3 in volume--is presented; it consists of 4 back legs whose actuation is achieved thanks to a miniaturized DC brushless motor. In vitro tests demonstrate good performance in terms of achievable speed (92 mm/min).
An Efficient Image Recovery Algorithm for Diffraction Tomography Systems
NASA Technical Reports Server (NTRS)
Jin, Michael Y.
1993-01-01
A diffraction tomography system has potential application in ultrasonic medical imaging area. It is capable of achieving imagery with the ultimate resolution of one quarter the wavelength by collecting ultrasonic backscattering data from a circular array of sensors and reconstructing the object reflectivity using a digital image recovery algorithm performed by a computer. One advantage of such a system is that is allows a relatively lower frequency wave to penetrate more deeply into the object and still achieve imagery with a reasonable resolution. An efficient image recovery algorithm for the diffraction tomography system was originally developed for processing a wide beam spaceborne SAR data...
Rainbow net analysis of VAXcluster system availability
NASA Technical Reports Server (NTRS)
Johnson, Allen M., Jr.; Schoenfelder, Michael A.
1991-01-01
A system modeling technique, Rainbow Nets, is used to evaluate the availability and mean-time-to-interrupt of the VAXcluster. These results are compared to the exact analytic results showing that reasonable accuracy is achieved through simulation. The complexity of the Rainbow Net does not increase as the number of processors increases, but remains constant, unlike a Markov model which expands exponentially. The constancy is achieved by using tokens with identity attributes (items) that can have additional attributes associated with them (features) which can exist in multiple states. The time to perform the simulation increases, but this is a polynomial increase rather than exponential. There is no restriction on distributions used for transition firing times, allowing real situations to be modeled more accurately by choosing the distribution which best fits the system performance and eliminating the need for simplifying assumptions.
Graphene Modified TiO2 Composite Photocatalysts: Mechanism, Progress and Perspective
Tang, Bo; Chen, Haiqun; Peng, Haoping; Wang, Zhengwei; Huang, Weiqiu
2018-01-01
Graphene modified TiO2 composite photocatalysts have drawn increasing attention because of their high performance. Some significant advancements have been achieved with the continuous research, such as the corresponding photocatalytic mechanism that has been revealed. Specific influencing factors have been discovered and potential optimizing methods are proposed. The latest developments in graphene assisted TiO2 composite photocatalysts are abstracted and discussed. Based on the primary reasons behind the observed phenomena of these composite photocatalysts, probable development directions and further optimizing strategies are presented. Moreover, several novel detective technologies—beyond the decomposition test—which can be used to judge the photocatalytic performances of the resulting photocatalysts are listed and analyzed. Although some objectives have been achieved, new challenges still exist and hinder the widespread application of graphene-TiO2 composite photocatalysts, which deserves further study. PMID:29439545
The Importance of Additive Reasoning in Children's Mathematical Achievement: A Longitudinal Study
ERIC Educational Resources Information Center
Ching, Boby Ho-Hong; Nunes, Terezinha
2017-01-01
This longitudinal study examines the relative importance of counting ability, additive reasoning, and working memory in children's mathematical achievement (calculation and story problem solving). In Hong Kong, 115 Chinese children aged 6 years old participated in 2 waves of assessments (T1 = first grade and T2 = second grade). Multiple regression…
Unified Performance and Power Modeling of Scientific Workloads
DOE Office of Scientific and Technical Information (OSTI.GOV)
Song, Shuaiwen; Barker, Kevin J.; Kerbyson, Darren J.
2013-11-17
It is expected that scientific applications executing on future large-scale HPC must be optimized not only in terms of performance, but also in terms of power consumption. As power and energy become increasingly constrained resources, researchers and developers must have access to tools that will allow for accurate prediction of both performance and power consumption. Reasoning about performance and power consumption in concert will be critical for achieving maximum utilization of limited resources on future HPC systems. To this end, we present a unified performance and power model for the Nek-Bone mini-application developed as part of the DOE's CESAR Exascalemore » Co-Design Center. Our models consider the impact of computation, point-to-point communication, and collective communication« less
NASA Astrophysics Data System (ADS)
Lyons, Cheryl
Reasoning about systems is necessary for understanding many modern issues that face society and is important for future scientists and all citizens. Systems thinking may allow students to make connections and identify common themes between seemingly different situations and phenomena, and is relevant to the focus on cross-cutting concepts in science emphasized in the Framework for K-12 Science Education Standards (NRC, 2011) and Next Generation Science Standards (Achieve, 2013). At the same time, there is emerging empirical and theoretical support in science education for fostering the development of science reasoning alongside content understanding, as opposed to the perspective that reasoning occurs after a certain threshold of content mastery has been achieved. However, existing research on systems thinking has treated this reasoning as a set of universal skills and neglected the role of content, or has conceptualized a progression in which content mastery precedes systems reasoning without consideration of rudimentary forms of reasoning. This study focused on describing individual variations in the ways that 8th and 9th grade students reason about changes in a system over time to identify characteristics of systems and pre-systems thinking and to investigate the relationship between this reasoning and the students' application of content. This study found a generally linear relationship between content and reasoning, with interesting deviations from this trend among students who demonstrated at least a moderate level of content understanding but had not yet achieved mastery. Four profiles of this relationship emerged which warrant different instructional support. Implications are presented for science educators and developers of curricula and assessments. This includes recommendations for learning objectives, the design of written curriculum materials, and the development of assessments that aim to promote and measure reasoning about systems in science.
Children's Effort/Ability Reasoning: Individual Differences and Motivational Consequences.
ERIC Educational Resources Information Center
Leggett, Ellen L.; Dweck, Carol S.
Individual differences in same-aged children's reasoning about effort and ability, as well as the consequences of different forms of reasoning in actual achievement situations, were investigated. It was hypothesized that different forms of children's reasoning would be related to different (helpless versus mastery-oriented) motivational patterns.…
Combining in silico and in cerebro approaches for virtual screening and pose prediction in SAMPL4.
Voet, Arnout R D; Kumar, Ashutosh; Berenger, Francois; Zhang, Kam Y J
2014-04-01
The SAMPL challenges provide an ideal opportunity for unbiased evaluation and comparison of different approaches used in computational drug design. During the fourth round of this SAMPL challenge, we participated in the virtual screening and binding pose prediction on inhibitors targeting the HIV-1 integrase enzyme. For virtual screening, we used well known and widely used in silico methods combined with personal in cerebro insights and experience. Regular docking only performed slightly better than random selection, but the performance was significantly improved upon incorporation of additional filters based on pharmacophore queries and electrostatic similarities. The best performance was achieved when logical selection was added. For the pose prediction, we utilized a similar consensus approach that amalgamated the results of the Glide-XP docking with structural knowledge and rescoring. The pose prediction results revealed that docking displayed reasonable performance in predicting the binding poses. However, prediction performance can be improved utilizing scientific experience and rescoring approaches. In both the virtual screening and pose prediction challenges, the top performance was achieved by our approaches. Here we describe the methods and strategies used in our approaches and discuss the rationale of their performances.
Combining in silico and in cerebro approaches for virtual screening and pose prediction in SAMPL4
NASA Astrophysics Data System (ADS)
Voet, Arnout R. D.; Kumar, Ashutosh; Berenger, Francois; Zhang, Kam Y. J.
2014-04-01
The SAMPL challenges provide an ideal opportunity for unbiased evaluation and comparison of different approaches used in computational drug design. During the fourth round of this SAMPL challenge, we participated in the virtual screening and binding pose prediction on inhibitors targeting the HIV-1 integrase enzyme. For virtual screening, we used well known and widely used in silico methods combined with personal in cerebro insights and experience. Regular docking only performed slightly better than random selection, but the performance was significantly improved upon incorporation of additional filters based on pharmacophore queries and electrostatic similarities. The best performance was achieved when logical selection was added. For the pose prediction, we utilized a similar consensus approach that amalgamated the results of the Glide-XP docking with structural knowledge and rescoring. The pose prediction results revealed that docking displayed reasonable performance in predicting the binding poses. However, prediction performance can be improved utilizing scientific experience and rescoring approaches. In both the virtual screening and pose prediction challenges, the top performance was achieved by our approaches. Here we describe the methods and strategies used in our approaches and discuss the rationale of their performances.
Exploring clinical reasoning in novices: a self-regulated learning microanalytic assessment approach
Artino, Anthony R; Cleary, Timothy J; Dong, Ting; Hemmer, Paul A; Durning, Steven J
2014-01-01
Objectives The primary objectives of this study were to examine the regulatory processes of medical students as they completed a diagnostic reasoning task and to examine whether the strategic quality of these regulatory processes were related to short-term and longer-term medical education outcomes. Methods A self-regulated learning (SRL) microanalytic assessment was administered to 71 second-year medical students while they read a clinical case and worked to formulate the most probable diagnosis. Verbal responses to open-ended questions targeting forethought and performance phase processes of a cyclical model of SRL were recorded verbatim and subsequently coded using a framework from prior research. Descriptive statistics and hierarchical linear regression models were used to examine the relationships between the SRL processes and several outcomes. Results Most participants (90%) reported focusing on specific diagnostic reasoning strategies during the task (metacognitive monitoring), but only about one-third of students referenced these strategies (e.g. identifying symptoms, integration) in relation to their task goals and plans for completing the task. After accounting for prior undergraduate achievement and verbal reasoning ability, strategic planning explained significant additional variance in course grade (ΔR2 = 0.15, p < 0.01), second-year grade point average (ΔR2 = 0.14, p < 0.01), United States Medical Licensing Examination Step 1 score (ΔR2 = 0.08, p < 0.05) and National Board of Medical Examiner subject examination score in internal medicine (ΔR2 = 0.10, p < 0.05). Conclusions These findings suggest that most students in the formative stages of learning diagnostic reasoning skills are aware of and think about at least one key diagnostic reasoning process or strategy while solving a clinical case, but a substantially smaller percentage set goals or develop plans that incorporate such strategies. Given that students who developed more strategic plans achieved better outcomes, the potential importance of forethought regulatory processes is underscored. PMID:24528463
Lawani, Lucky O; Onyebuchi, Azubuike K; Iyoke, Chukwuemeka A; Okeke, Nwabunike E
2014-05-01
To determine the prevalence of female genital mutilation (FGM), the common forms of FGM, reasons for the practice, associated obstetric outcomes, and how these have affected efforts to achieve Millennium Development Goals (MDGs) 3, 4, and 5 in southeast Nigeria. A prospective descriptive study of parturients in southeast Nigeria was conducted from January to December 2012. All primigravid women attending delivery services at 2 health institutions during the study period were recruited, examined, and classified using the 2008 WHO classification for FGM. The mean age of the 516 participants was 27.24±4.80 years and most (66.3%) had undergone FGM. Type II FGM was the most common form, accounting for 59.6% of cases. Most FGM procedures were performed in infancy (97.1%) and for cultural reasons (60.8%). Women who had undergone FGM had significantly higher risk for episiotomy, perineal tear, hemorrhage, cesarean delivery, neonatal resuscitation, fresh stillbirth/early neonatal death, and longer hospitalization, with higher risk ratios associated with higher degrees of FGM. FGM is still a common practice in southeast Nigeria, where its association with adverse reproductive outcomes militates against efforts to achieve MDGs 3, 4, and 5. Copyright © 2014 International Federation of Gynecology and Obstetrics. Published by Elsevier Ireland Ltd. All rights reserved.
NASA Astrophysics Data System (ADS)
Habre, Samer
2017-01-01
Covariational reasoning has been the focus of many studies but only a few looked into this reasoning in the polar coordinate system. In fact, research on student's familiarity with polar coordinates and graphing in the polar coordinate system is scarce. This paper examines the challenges that students face when plotting polar curves using the corresponding plot in the Cartesian plane. In particular, it examines how students coordinate the covariation in the polar coordinate system with the covariation in the Cartesian one. The research, which was conducted in a sophomore level Calculus class at an American university operating in Lebanon, investigates in addition the challenges when students synchronize the reasoning between the two coordinate systems. For this, the mental actions that students engage in when performing covariational tasks are examined. Results show that coordinating the value of one polar variable with changes in the other was well achieved. Coordinating the direction of change of one variable with changes in the other variable was more challenging for students especially when the radial distance r is negative.
ERIC Educational Resources Information Center
Falcon, Raymond
2013-01-01
This study analyzed interventions used in improving the mathematics achievement in spatial reasoning tasks for females called connectedness. Gender achievement in mathematics has been a controversial topic because of the wide variance in research. Some research has found a difference between the genders in mathematics while others argue there is…
ERIC Educational Resources Information Center
Cai, Elaine Yu Ling; Liem, Gregory Arief D.
2017-01-01
This study seeks to understand the "what" and the "why" of student engagement by investigating the "aims" that students pursue through engagement (i.e., their achievement goals) and the "reasons" driving such engagement (i.e., their motivation). Self-report instruments measuring students' motivational…
ERIC Educational Resources Information Center
Arici, Sevil; Aslan-Tutak, Fatma
2015-01-01
This research study examined the effect of origami-based geometry instruction on spatial visualization, geometry achievement, and geometric reasoning of tenth-grade students in Turkey. The sample ("n" = 184) was chosen from a tenth-grade population of a public high school in Turkey. It was a quasi-experimental pretest/posttest design. A…
Visual Form Perception Can Be a Cognitive Correlate of Lower Level Math Categories for Teenagers
Cui, Jiaxin; Zhang, Yiyun; Cheng, Dazhi; Li, Dawei; Zhou, Xinlin
2017-01-01
Numerous studies have assessed the cognitive correlates of performance in mathematics, but little research has been conducted to systematically examine the relations between visual perception as the starting point of visuospatial processing and typical mathematical performance. In the current study, we recruited 223 seventh graders to perform a visual form perception task (figure matching), numerosity comparison, digit comparison, exact computation, approximate computation, and curriculum-based mathematical achievement tests. Results showed that, after controlling for gender, age, and five general cognitive processes (choice reaction time, visual tracing, mental rotation, spatial working memory, and non-verbal matrices reasoning), visual form perception had unique contributions to numerosity comparison, digit comparison, and exact computation, but had no significant relation with approximate computation or curriculum-based mathematical achievement. These results suggest that visual form perception is an important independent cognitive correlate of lower level math categories, including the approximate number system, digit comparison, and exact computation. PMID:28824513
NASA Astrophysics Data System (ADS)
Yang, Yanchao; Jiang, Hong; Liu, Congbin; Lan, Zhongli
2013-03-01
Cognitive radio (CR) is an intelligent wireless communication system which can dynamically adjust the parameters to improve system performance depending on the environmental change and quality of service. The core technology for CR is the design of cognitive engine, which introduces reasoning and learning methods in the field of artificial intelligence, to achieve the perception, adaptation and learning capability. Considering the dynamical wireless environment and demands, this paper proposes a design of cognitive engine based on the rough sets (RS) and radial basis function neural network (RBF_NN). The method uses experienced knowledge and environment information processed by RS module to train the RBF_NN, and then the learning model is used to reconfigure communication parameters to allocate resources rationally and improve system performance. After training learning model, the performance is evaluated according to two benchmark functions. The simulation results demonstrate the effectiveness of the model and the proposed cognitive engine can effectively achieve the goal of learning and reconfiguration in cognitive radio.
Öner, Osman Zekai; Demirci, Rojbin Karakoyun; Gündüz, Umut Rıza; Aslaner, Arif; Koç, Ümit; Bülbüller, Nurullah
2013-01-01
Bidirectional endoscopy (BE) is often used to assess patients for the reason of anemia or to screen asymptomatic population for malignancy. Limited clinical data favors to perform first the upper gastrointestinal system endoscopy, but its effect to the duration of colonoscopy is yet to be determined. The aim of this retrospective study is to evaluate the effect of upper gastrointestinal system endoscopy on the time to achieve cecal intubation during colonoscopy in patients undergoing BE. Patients of four endoscopists at similar experience levels were retrospectively identified and categorized into the upper gastrointestinal system endoscopy before colonoscopy group (group 1) or the colonoscopy only group (group 2). The demographics, clinical data and the time to achieve cecal intubation for each patient were analyzed. The mean time to achieve cecal intubation in the first group that included 319 cases was 8.4 ± 0.93 minutes and the mean time in the second group that included 1672 cases was 8.56 ± 1.16 minutes. There was no statistically significant difference between the groups. There was also no significant difference between the Group 1 and Group 2 when compared according to which of the four endoscopists performed the procedures. Performing the upper gastrointestinal system endoscopy prior to colonoscopy did not affect the time to achieve cecal intubation. Considering that performing the upper gastrointestinal system endoscopy prior to the colonoscopy is more advantageous in terms of patient comfort and analgesic requirement, beginning to BE with it seems more favorable. PMID:23936601
NASA Astrophysics Data System (ADS)
Athaudage, Chandranath R. N.; Bradley, Alan B.; Lech, Margaret
2003-12-01
A dynamic programming-based optimization strategy for a temporal decomposition (TD) model of speech and its application to low-rate speech coding in storage and broadcasting is presented. In previous work with the spectral stability-based event localizing (SBEL) TD algorithm, the event localization was performed based on a spectral stability criterion. Although this approach gave reasonably good results, there was no assurance on the optimality of the event locations. In the present work, we have optimized the event localizing task using a dynamic programming-based optimization strategy. Simulation results show that an improved TD model accuracy can be achieved. A methodology of incorporating the optimized TD algorithm within the standard MELP speech coder for the efficient compression of speech spectral information is also presented. The performance evaluation results revealed that the proposed speech coding scheme achieves 50%-60% compression of speech spectral information with negligible degradation in the decoded speech quality.
A privacy-strengthened scheme for E-Healthcare monitoring system.
Huang, Chanying; Lee, Hwaseong; Lee, Dong Hoon
2012-10-01
Recent Advances in Wireless Body Area Networks (WBANs) offer unprecedented opportunities and challenges to the development of pervasive electronic healthcare (E-Healthcare) monitoring system. In E-Healthcare system, the processed data are patients' sensitive health data that are directly related to individuals' privacy. For this reason, privacy concern is of great importance for E-Healthcare system. Current existing systems for E-Healthcare services, however, have not yet provided sufficient privacy protection for patients. In order to offer adequate security and privacy, in this paper, we propose a privacy-enhanced scheme for patients' physical condition monitoring, which achieves dual effects: (1) providing unlinkability of health records and individual identity, and (2) supporting anonymous authentication and authorized data access. We also conduct a simulation experiment to evaluate the performance of the proposed scheme. The experimental results demonstrate that the proposed scheme achieves better performance in terms of computational complexity, communication overheads and querying efficiency compared with previous results.
Zero-forcing pre-coding for MIMO WiMAX transceivers: Performance analysis and implementation issues
NASA Astrophysics Data System (ADS)
Cattoni, A. F.; Le Moullec, Y.; Sacchi, C.
Next generation wireless communication networks are expected to achieve ever increasing data rates. Multi-User Multiple-Input-Multiple-Output (MU-MIMO) is a key technique to obtain the expected performance, because such a technique combines the high capacity achievable using MIMO channel with the benefits of space division multiple access. In MU-MIMO systems, the base stations transmit signals to two or more users over the same channel, for this reason every user can experience inter-user interference. This paper provides a capacity analysis of an online, interference-based pre-coding algorithm able to mitigate the multi-user interference of the MU-MIMO systems in the context of a realistic WiMAX application scenario. Simulation results show that pre-coding can significantly increase the channel capacity. Furthermore, the paper presents several feasibility considerations for implementation of the analyzed technique in a possible FPGA-based software defined radio.
Part-task vs. whole-task training on a supervisory control task
NASA Technical Reports Server (NTRS)
Battiste, Vernol
1987-01-01
The efficacy of a part-task training for the psychomotor portion of a supervisory control simulation was compared to that of the whole-task training, using six subjects in each group, who were asked to perform a task as quickly as possible. Part-task training was provided with the cursor-control device prior to transition to the whole-task. The analysis of both the training and experimental trials demonstrated a significant performance advantage for the part-task group: the tasks were performed better and at higher speed. Although the subjects finally achieved the same level of performance in terms of score, the part-task method was preferable for economic reasons, since simple pretraining systems are significantly less expensive than the whole-task training systems.
Kaufman, Scott Barry; Quilty, Lena C.; Grazioplene, Rachael G.; Hirsh, Jacob B.; Gray, Jeremy R.; Peterson, Jordan B.; DeYoung, Colin G.
2014-01-01
Objective The Big Five personality dimension Openness/Intellect is the trait most closely associated with creativity and creative achievement. Little is known, however, regarding the discriminant validity of its two aspects— Openness to Experience (reflecting cognitive engagement with perception, fantasy, aesthetics, and emotions) and Intellect (reflecting cognitive engagement with abstract and semantic information, primarily through reasoning)— in relation to creativity. Method In four demographically diverse samples totaling 1035 participants, we investigated the independent predictive validity of Openness and Intellect by assessing the relations among cognitive ability, divergent thinking, personality, and creative achievement across the arts and sciences. Results and Conclusions We confirmed the hypothesis that whereas Openness predicts creative achievement in the arts, Intellect predicts creative achievement in the sciences. Inclusion of performance measures of general cognitive ability and divergent thinking indicated that the relation of Intellect to scientific creativity may be due at least in part to these abilities. Lastly, we found that Extraversion additionally predicted creative achievement in the arts, independently of Openness. Results are discussed in the context of dual-process theory. PMID:25487993
Assessment of Scientific Reasoning as an Institutional Outcome
2016-04-01
expertise in the outcome domain. Student achievement of the Scientific Reasoning and Principles of Science was assessed in the 2012- 13 academic year by...scientific reasoning assessment. Overall, students were weakest when answering questions related to (a) proportional reasoning , (b) isolation of...variables, and (c) if-then reasoning . These findings are being incorporates into redesign of the core curriculum to enhance continuity among science courses
ERIC Educational Resources Information Center
Schlechter, Melissa; Milevsky, Avidan
2010-01-01
The purpose of the current study is to determine the interconnection between parental level of education, psychological well-being, academic achievement and reasons for pursuing higher education in adolescents. Participants included 439 college freshmen from a mid-size state university in the northeastern USA. A survey, including indices of…
MacArthur, Juliet; Brown, Michael; McKechanie, Andrew; Mack, Siobhan; Hayes, Matthew; Fletcher, Joan
2015-07-01
To examine the role of learning disability liaison nurses in facilitating reasonable and achievable adjustments to support access to general hospital services for people with learning disabilities. Mixed methods study involving four health boards in Scotland with established Learning Disability Liaison Nurses (LDLN) Services. Quantitative data of all liaison nursing referrals over 18 months and qualitative data collected from stakeholders with experience of using the liaison services within the previous 3-6 months. Six liaison nurses collected quantitative data of 323 referrals and activity between September 2008-March 2010. Interviews and focus groups were held with 85 participants included adults with learning disabilities (n = 5), carers (n = 16), primary care (n = 39), general hospital (n = 19) and liaison nurses (n = 6). Facilitating reasonable and achievable adjustments was an important element of the LDLNs' role and focussed on access to information; adjustments to care; appropriate environment of care; ensuring equitable care; identifying patient need; meeting patient needs; and specialist tools/resources. Ensuring that reasonable adjustments are made in the general hospital setting promotes person-centred care and equal health outcomes for people with a learning disability. This view accords with 'Getting it right' charter produced by the UK Charity Mencap which argues that healthcare professionals need support, encouragement and guidance to make reasonable adjustments for this group. LDLNs have an important and increasing role to play in advising on and establishing adjustments that are both reasonable and achievable. © 2015 John Wiley & Sons Ltd.
Motivation and emotion predict medical students' attention to computer-based feedback.
Naismith, Laura M; Lajoie, Susanne P
2017-12-14
Students cannot learn from feedback unless they pay attention to it. This study investigated relationships between the personal factors of achievement goal orientations, achievement emotions, and attention to feedback in BioWorld, a computer environment for learning clinical reasoning. Novice medical students (N = 28) completed questionnaires to measure their achievement goal orientations and then thought aloud while solving three endocrinology patient cases and reviewing corresponding expert solutions. Questionnaires administered after each case measured participants' experiences of five feedback emotions: pride, relief, joy, shame, and anger. Attention to individual text segments of the expert solutions was modelled using logistic regression and the method of generalized estimating equations. Participants did not attend to all of the feedback that was available to them. Performance-avoidance goals and shame positively predicted attention to feedback, and performance-approach goals and relief negatively predicted attention to feedback. Aspects of how the feedback was displayed also influenced participants' attention. Findings are discussed in terms of their implications for educational theory as well as the design and use of computer learning environments in medical education.
Analytical Performance Modeling and Validation of Intel’s Xeon Phi Architecture
DOE Office of Scientific and Technical Information (OSTI.GOV)
Chunduri, Sudheer; Balaprakash, Prasanna; Morozov, Vitali
Modeling the performance of scientific applications on emerging hardware plays a central role in achieving extreme-scale computing goals. Analytical models that capture the interaction between applications and hardware characteristics are attractive because even a reasonably accurate model can be useful for performance tuning before the hardware is made available. In this paper, we develop a hardware model for Intel’s second-generation Xeon Phi architecture code-named Knights Landing (KNL) for the SKOPE framework. We validate the KNL hardware model by projecting the performance of mini-benchmarks and application kernels. The results show that our KNL model can project the performance with prediction errorsmore » of 10% to 20%. The hardware model also provides informative recommendations for code transformations and tuning.« less
Janulewicz, K A; Kim, C M
2010-11-01
Soft x-ray lasers pumped in the grazing incidence geometry show strongly reduced energetic needs but hardly changed conversion efficiency between the pump energy and the output short-wavelength radiation. Numerical analysis presented in the paper concerns with performance of a Ni-like Ag soft-x-ray laser pumped by a triple-pulse structure in the grazing incidence geometry as a function of the puming conditions. It was found that a weak precursor preceding the main preforming and heating pulses by a few nanoseconds is crucial for the energy deposition. Its presence enables in different arrangements a reasonable reduction in the pump energy and relaxation of the steep density gradients as well as a control over partition of the deposited energy. As a consequence, it was concluded that a well energetically balanced three- or multipulse composition seems to be a reasonable way to achieve performance improvement.
NASA Astrophysics Data System (ADS)
Ebert, Darilyn
The gender gap of women in science is an important and unresolved issue in higher education and occupational opportunities. The present study was motivated by the fact that there are typically fewer females than males advancing in science, and therefore fewer female science instructor role models. This observation inspired the questions: Are female college students influenced in a positive way by female science teaching assistants (TAs), and if so how can their influence be measured? The study tested the hypothesis that female TAs act as role models for female students and thereby encourage interest and increase overall performance. To test this "role model" hypothesis, the reasoning ability and self-efficacy of a sample of 724 introductory college biology students were assessed at the beginning and end of the Spring 2010 semester. Achievement was measured by exams and course work. Performance of four randomly formed groups was compared: 1) female students with female TAs, 2) male students with female TAs, 3) female students with male TAs, and 4) male students with male TAs. Based on the role model hypothesis, female students with female TAs were predicted to perform better than female students with male TAs. However, group comparisons revealed similar performances across all four groups in achievement, reasoning ability and self-efficacy. The slight differences found between the four groups in student exam and coursework scores were not statistically significant. Therefore, the results did not support the role model hypothesis. Given that both lecture professors in the present study were males, and given that professors typically have more teaching experience, finer skills and knowledge of subject matter than do TAs, a future study that includes both female science professors and female TAs, may be more likely to find support for the hypothesis.
Automated Reasoning CICT Program/Intelligent Systems Project ATAC-PRT Review
NASA Technical Reports Server (NTRS)
Morris, Robert; Smith, Ben
2003-01-01
An overview is presented of the Automated Reasoning CICT Program/Intelligent Systems project. Automated reasoning technology will help NASA missions by increasing the amount of science achieved, ensuring safety of spacecraft and surface explorers, and by enabling more robust mission operations.
ERIC Educational Resources Information Center
Barkl, Sophie; Porter, Amy; Ginns, Paul
2012-01-01
Inductive reasoning is a core cognitive process of fluid intelligence, predicting a variety of educational outcomes. The Cognitive Training for Children (CTC) program is an educational intervention designed to develop children's inductive reasoning skills, with previous investigations finding substantial effects of the program on both inductive…
ERIC Educational Resources Information Center
Johar, Rahmah; Yusniarti, Sri; Saminan
2018-01-01
The lack of Indonesian students achievement in the international assessment is due to several factors. Students are not familiar with the problems requiring reasoning, in particular the proportional reasoning. This research aims to identify the distribution and the Level of Cognitive Demands (LCD) of the proportional reasoning problems found in…
The application of hybrid artificial intelligence systems for forecasting
NASA Astrophysics Data System (ADS)
Lees, Brian; Corchado, Juan
1999-03-01
The results to date are presented from an ongoing investigation, in which the aim is to combine the strengths of different artificial intelligence methods into a single problem solving system. The premise underlying this research is that a system which embodies several cooperating problem solving methods will be capable of achieving better performance than if only a single method were employed. The work has so far concentrated on the combination of case-based reasoning and artificial neural networks. The relative merits of artificial neural networks and case-based reasoning problem solving paradigms, and their combination are discussed. The integration of these two AI problem solving methods in a hybrid systems architecture, such that the neural network provides support for learning from past experience in the case-based reasoning cycle, is then presented. The approach has been applied to the task of forecasting the variation of physical parameters of the ocean. Results obtained so far from tests carried out in the dynamic oceanic environment are presented.
Christensen, Nicole; Black, Lisa; Furze, Jennifer; Huhn, Karen; Vendrely, Ann; Wainwright, Susan
2017-02-01
Although clinical reasoning abilities are important learning outcomes of physical therapist entry-level education, best practice standards have not been established to guide clinical reasoning curricular design and learning assessment. This research explored how clinical reasoning is currently defined, taught, and assessed in physical therapist entry-level education programs. A descriptive, cross-sectional survey was administered to physical therapist program representatives. An electronic 24-question survey was distributed to the directors of 207 programs accredited by the Commission on Accreditation in Physical Therapy Education. Descriptive statistical analysis and qualitative content analysis were performed. Post hoc demographic and wave analyses revealed no evidence of nonresponse bias. A response rate of 46.4% (n=96) was achieved. All respondents reported that their programs incorporated clinical reasoning into their curricula. Only 25% of respondents reported a common definition of clinical reasoning in their programs. Most respondents (90.6%) reported that clinical reasoning was explicit in their curricula, and 94.8% indicated that multiple methods of curricular integration were used. Instructor-designed materials were most commonly used to teach clinical reasoning (83.3%). Assessment of clinical reasoning included practical examinations (99%), clinical coursework (94.8%), written examinations (87.5%), and written assignments (83.3%). Curricular integration of clinical reasoning-related self-reflection skills was reported by 91%. A large number of incomplete surveys affected the response rate, and the program directors to whom the survey was sent may not have consulted the faculty members who were most knowledgeable about clinical reasoning in their curricula. The survey construction limited some responses and application of the results. Although clinical reasoning was explicitly integrated into program curricula, it was not consistently defined, taught, or assessed within or between the programs surveyed-resulting in significant variability in clinical reasoning education. These findings support the need for the development of best educational practices for clinical reasoning curricula and learning assessment. © 2017 American Physical Therapy Association
NASA Astrophysics Data System (ADS)
DeMange, P.; Marian, J.; Caro, M.; Caro, A.
2010-10-01
A TRISO-coated fuel thermo-mechanical performance study is performed for the fusion-fission hybrid Laser Inertial Fusion Engine (LIFE) to test the viability of TRISO particles to achieve ultra-high burn-up of Pu or transuranic spent nuclear fuel blankets. Our methodology includes full elastic anisotropy, time and temperature varying material properties, and multilayer capabilities. In order to achieve fast fluences up to 30 × 10 25 n m -2 ( E > 0.18 MeV), judicious extrapolations across several orders of magnitude of existing material databases have been carried out. The results of our study indicate that failure of the pyrolytic carbon (PyC) layers occurs within the first 2 years of operation. The particles then behave as a single-SiC-layer particle and the SiC layer maintains reasonably-low tensile stresses until the end-of-life. It is also found that the PyC creep constant, K, has a striking influence on the fuel performance of TRISO-coated particles, whose stresses scale almost inversely proportional to K. Conversely, varying the geometry of the TRISO-coated fuel particles results in little differences in terms of fuel performance.
NASA Astrophysics Data System (ADS)
Mulopo, Moses M.; Seymour Fowler, H.
This study examined the differential effectiveness of traditional and discovery methods of instruction for the teaching of science concepts, understandings about science, and scientific attitudes, to learners at the concrete and formal level of cognitive development. The dependent variables were achievement, understanding science, and scientific attitude; assessed through the use of the ACS Achievement Test (high school chemistry, Form 1979), the Test on Understanding Science (Form W), and the Test on Scientific Attitude, respectively. Mode of instruction and cognitive development were the independent variables. Subjects were 120 Form IV (11th grade) males enrolled in chemistry classes in Lusaka, Zambia. Sixty of these were concrete reasoners (mean age = 18.23) randomly selected from one of the two schools. The remaining 60 subjects were formal reasoners (mean age 18.06) randomly selected from a second boys' school. Each of these two groups was randomly split into two subgroups with 30 subjects. Traditional and discovery approaches were randomly assigned to the two subgroups of concrete reasoners and to the two subgroups of formal reasoners. Prior to instruction, the subjects were pretested using the ACS Achievement Test, the Test on Understanding Science, and the Test on Scientific Attitude. Subjects received instruction covering eight chemistry topics during approximately 10 weeks. Posttests followed using the same standard tests. Two-way analysis of covariance, with pretest scores serving as covariates was used and 0.05 level of significant was accepted. Tukey WSD technique was used as a follow-up test where applicable. It was found that (1) for the formal reasoners, the discovery group earned significantly higher understanding science scores than the traditional group. For the concrete reasoners mode of instruction did not make a difference; (2) overall, formal reasoners earned significantly higher achievement scores than concrete reasoners; (3) in general, subjects taught by the discovery approach earned significantly higher scientific attitude scores than those taught by the traditional approach. The traditional group outperformed the discovery group in achievement scores. It was concluded that the traditional approach might be an efficient instructional mode for the teaching of scientific facts and principles to high school students, while the discovery approach seemed to be more suitable for teaching scientific attitudes and for promoting understanding about science and scientists among formal operational learners.
Toward performance portability of the Albany finite element analysis code using the Kokkos library
DOE Office of Scientific and Technical Information (OSTI.GOV)
Demeshko, Irina; Watkins, Jerry; Tezaur, Irina K.
Performance portability on heterogeneous high-performance computing (HPC) systems is a major challenge faced today by code developers: parallel code needs to be executed correctly as well as with high performance on machines with different architectures, operating systems, and software libraries. The finite element method (FEM) is a popular and flexible method for discretizing partial differential equations arising in a wide variety of scientific, engineering, and industrial applications that require HPC. This paper presents some preliminary results pertaining to our development of a performance portable implementation of the FEM-based Albany code. Performance portability is achieved using the Kokkos library. We presentmore » performance results for the Aeras global atmosphere dynamical core module in Albany. Finally, numerical experiments show that our single code implementation gives reasonable performance across three multicore/many-core architectures: NVIDIA General Processing Units (GPU’s), Intel Xeon Phis, and multicore CPUs.« less
Toward performance portability of the Albany finite element analysis code using the Kokkos library
Demeshko, Irina; Watkins, Jerry; Tezaur, Irina K.; ...
2018-02-05
Performance portability on heterogeneous high-performance computing (HPC) systems is a major challenge faced today by code developers: parallel code needs to be executed correctly as well as with high performance on machines with different architectures, operating systems, and software libraries. The finite element method (FEM) is a popular and flexible method for discretizing partial differential equations arising in a wide variety of scientific, engineering, and industrial applications that require HPC. This paper presents some preliminary results pertaining to our development of a performance portable implementation of the FEM-based Albany code. Performance portability is achieved using the Kokkos library. We presentmore » performance results for the Aeras global atmosphere dynamical core module in Albany. Finally, numerical experiments show that our single code implementation gives reasonable performance across three multicore/many-core architectures: NVIDIA General Processing Units (GPU’s), Intel Xeon Phis, and multicore CPUs.« less
An analysis of factors that impact secondary science outcomes in Tennessee
NASA Astrophysics Data System (ADS)
South, Suzanne Lawson
The purpose of this study was to analyze school and district characteristics for 2005--2006 through 2007--2008 to determine which factors impacted science achievement for the graduating class of 2008--2009 in Tennessee. School size, socioeconomic status, per pupil instructional expenditures and rurality/urbanicity were predictor variables. Achievement was represented by performance on the science and reasoning portion of the ACT. Correlational studies indicated that socioeconomic status had a significant impact on science achievement while the impact of school size and rurality/urbanicity was observed to be weak. Statistical analyses through multiple linear regression produced a model in which socioeconomic status and rurality/urbanicity explained 65.4% of the variance observed. Schools were segmented into quintiles based on socioeconomic status in an effort to control for poverty and correlational studies were repeated. School size and rurality/urbanicity appeared to have a more significant impact on achievement, particularly for students in the highest and lowest poverty bands.
Yamamoto, Katie; Condotta, Luca; Haldane, Chloe; Jaffrani, Sahar; Johnstone, Victoria; Jachyra, Patrick; Gibson, Barbara E; Yeung, Euson
2018-02-01
The aim of this study was to examine how risks and benefits of cervical spine manipulation (CSM) were framed and discussed in the context of mentorship and their impact on the perception of safe practice of CSM in clinical physiotherapy settings. A multi-method qualitative approach was employed, including a document analysis of established educational guidelines, observations of mentoring sessions, and individual face-to-face interviews with five mentees in the process of learning CSM, and four mentors with Orthopedic Manual Physical Therapy (OMPT) certification. Results demonstrated that participants' clinical decision-making processes to perform CSM were primarily oriented to the mitigation of risk. Achieving proficiency in the "science" of clinical reasoning and the "art" of "feel" related to mastering technical skills were viewed as means to mitigating risk and enhancing confidence to use CSM safely in clinical practice. While the "art" of technical skill mastery was of high importance to mentees and considered important to developing competency in performing CSM, it was discussed as distinct from their clinical reasoning processes. Thus, promoting a more balanced and integrated use of the "art" and "science" of safe practice for CSM in OMPT training may result in greater confidence and judicious use of CSM by physiotherapists.
A High-Precision Counter Using the DSP Technique
2004-09-01
DSP is not good enough to process all the 1-second samples. The cache memory is also not sufficient to store all the sampling data. So we cut the...sampling number in a cycle is not good enough to achieve an accuracy less than 2×10-11. For this reason, a correlation operation is performed for... not good enough to process all the 1-second samples. The cache memory is also not sufficient to store all the sampling data. We will solve this
Hydrogen Hazards Assessment Protocol (HHAP): Approach and Methodology
NASA Technical Reports Server (NTRS)
Woods, Stephen
2009-01-01
This viewgraph presentation reviews the approach and methodology to develop a assessment protocol for hydrogen hazards. Included in the presentation are the reasons to perform hazards assessment, the types of hazard assessments that exist, an analysis of hydrogen hazards, specific information about the Hydrogen Hazards Assessment Protocol (HHAP). The assessment is specifically tailored for hydrogen behavior. The end product of the assesment is a compilation of hazard, mitigations and associated factors to facilitate decision making and achieve the best practice.
[Clinical analysis of nasal mucosa contact headache].
Gu, Qingjia; Wen, Bei; Li, Jingxian; Fan, Jiangang; He, Gang
2013-07-01
To investigate the efficacy of nasal mucosa contact point headache with the treatment of endoscopic sinus surgery. Clinical data of 75 cases with nasal mucosa contact point headache treated in our department from Jan 2008 to Nov 2011 were retrospectively analyzed. These patients were performed with endoscopic sinus surgery. All patients were followed up for more than six months. They all achieved significant efficacy and no complications occurred. Nasal mucosa contact point headache and primary headache had different clinical features and different treatment. Misdiagnosis were easily made if not being carefully analyzed. Three lines tension relaxing septorhinoplasty combined with nasal bone fracture correction can achieve satisfactory curative effect and can effectively prevent the occurrence of complications. Therefore, it is necessary to strengthen the awareness of this disease. Nasal structure abnormality is the main reason of nasal mucosa contact point headache. The implementation of individualized nasal endoscopic sinus surgery can achieve satisfactory curative effect.
Jiménez-Fábrega, Xavier; Escalada-Roig, Xavier; Sánchez, Miquel; Culla, Alexandre; Díaz, Núria; Gómez, Xavier; Villena, Olga; Rodríguez, Esther; Gaspar, Alberto; Molina, José Emilio; Salvador, Jordi; Miró, Oscar
2009-06-01
We investigated the results obtained with a basic cardiopulmonary resuscitation (b-CPR) program (PROCES) specifically designed for secondary school students (14-16 years old) and taught by emergency physicians. We used a multiple-choice test with 20 questions (10 on theory and 10 on skills) answered before and immediately after and 1 year after receiving the b-CPR course. Satisfactory learning was considered when at least 8 out of 10 skill questions were correctly answered. We investigated student variables associated with better immediate and deferred (1 year after) PROCES performance. We compared the results with those obtained using a more standardized program to teach b-CPR to police cadets. We enrolled 600 high school students. PROCES achieved significant improvement in overall, theory and skill marks immediately after the course (P<0.001), with a significant decay in all of them 1 year after the course (P<0.001). Satisfactory learning was achieved by 57% of school students immediately after PROCES and by 37% when assessed 1 year later. Students without pending study subjects (P=0.001) and those from private schools (P<0.01) achieved significantly better performance immediately after PROCES and only female students achieved greater performance 1 year after the course (P<0.05). With respect to police cadets instructed through a standardized course, immediate satisfactory learning of school students was lower (79 vs. 57%, respectively; P<0.001), whereas deferred satisfactory learning was higher (23 vs. 37%, respectively; P<0.05). Emergency physicians can satisfactorily instruct secondary school students in b-CPR using PROCES, and this specific program achieves a reasonable amount of satisfactory learning.
Adult Gesture in Collaborative Mathematics Reasoning in Different Ages
NASA Astrophysics Data System (ADS)
Noto, M. S.; Harisman, Y.; Harun, L.; Amam, A.; Maarif, S.
2017-09-01
This article describes the case study on postgraduate students by using descriptive method. A problem is designed to facilitate the reasoning in the topic of Chi-Square test. The problem was given to two male students with different ages to investigate the gesture pattern and it will be related to their reasoning process. The indicators in reasoning problem can obtain the conclusion of analogy and generalization, and arrange the conjectures. This study refers to some questions—whether unique gesture is for every individual or to identify the pattern of the gesture used by the students with different ages. Reasoning problem was employed to collect the data. Two students were asked to collaborate to reason the problem. The discussion process recorded in using video tape to observe the gestures. The video recorded are explained clearly in this writing. Prosodic cues such as time, conversation text, gesture that appears, might help in understanding the gesture. The purpose of this study is to investigate whether different ages influences the maturity in collaboration observed from gesture perspective. The finding of this study shows that age is not a primary factor that influences the gesture in that reasoning process. In this case, adult gesture or gesture performed by order student does not show that he achieves, maintains, and focuses on the problem earlier on. Adult gesture also does not strengthen and expand the meaning if the student’s words or the language used in reasoning is not familiar for younger student. Adult gesture also does not affect cognitive uncertainty in mathematics reasoning. The future research is suggested to take more samples to find the consistency from that statement.
DOE Office of Scientific and Technical Information (OSTI.GOV)
Gong, Zhenhuan; Boyuka, David; Zou, X
Download Citation Email Print Request Permissions Save to Project The size and scope of cutting-edge scientific simulations are growing much faster than the I/O and storage capabilities of their run-time environments. The growing gap is exacerbated by exploratory, data-intensive analytics, such as querying simulation data with multivariate, spatio-temporal constraints, which induces heterogeneous access patterns that stress the performance of the underlying storage system. Previous work addresses data layout and indexing techniques to improve query performance for a single access pattern, which is not sufficient for complex analytics jobs. We present PARLO a parallel run-time layout optimization framework, to achieve multi-levelmore » data layout optimization for scientific applications at run-time before data is written to storage. The layout schemes optimize for heterogeneous access patterns with user-specified priorities. PARLO is integrated with ADIOS, a high-performance parallel I/O middleware for large-scale HPC applications, to achieve user-transparent, light-weight layout optimization for scientific datasets. It offers simple XML-based configuration for users to achieve flexible layout optimization without the need to modify or recompile application codes. Experiments show that PARLO improves performance by 2 to 26 times for queries with heterogeneous access patterns compared to state-of-the-art scientific database management systems. Compared to traditional post-processing approaches, its underlying run-time layout optimization achieves a 56% savings in processing time and a reduction in storage overhead of up to 50%. PARLO also exhibits a low run-time resource requirement, while also limiting the performance impact on running applications to a reasonable level.« less
High performance ultrasonic field simulation on complex geometries
NASA Astrophysics Data System (ADS)
Chouh, H.; Rougeron, G.; Chatillon, S.; Iehl, J. C.; Farrugia, J. P.; Ostromoukhov, V.
2016-02-01
Ultrasonic field simulation is a key ingredient for the design of new testing methods as well as a crucial step for NDT inspection simulation. As presented in a previous paper [1], CEA-LIST has worked on the acceleration of these simulations focusing on simple geometries (planar interfaces, isotropic materials). In this context, significant accelerations were achieved on multicore processors and GPUs (Graphics Processing Units), bringing the execution time of realistic computations in the 0.1 s range. In this paper, we present recent works that aim at similar performances on a wider range of configurations. We adapted the physical model used by the CIVA platform to design and implement a new algorithm providing a fast ultrasonic field simulation that yields nearly interactive results for complex cases. The improvements over the CIVA pencil-tracing method include adaptive strategies for pencil subdivisions to achieve a good refinement of the sensor geometry while keeping a reasonable number of ray-tracing operations. Also, interpolation of the times of flight was used to avoid time consuming computations in the impulse response reconstruction stage. To achieve the best performance, our algorithm runs on multi-core superscalar CPUs and uses high performance specialized libraries such as Intel Embree for ray-tracing, Intel MKL for signal processing and Intel TBB for parallelization. We validated the simulation results by comparing them to the ones produced by CIVA on identical test configurations including mono-element and multiple-element transducers, homogeneous, meshed 3D CAD specimens, isotropic and anisotropic materials and wave paths that can involve several interactions with interfaces. We show performance results on complete simulations that achieve computation times in the 1s range.
Boosting drug named entity recognition using an aggregate classifier.
Korkontzelos, Ioannis; Piliouras, Dimitrios; Dowsey, Andrew W; Ananiadou, Sophia
2015-10-01
Drug named entity recognition (NER) is a critical step for complex biomedical NLP tasks such as the extraction of pharmacogenomic, pharmacodynamic and pharmacokinetic parameters. Large quantities of high quality training data are almost always a prerequisite for employing supervised machine-learning techniques to achieve high classification performance. However, the human labour needed to produce and maintain such resources is a significant limitation. In this study, we improve the performance of drug NER without relying exclusively on manual annotations. We perform drug NER using either a small gold-standard corpus (120 abstracts) or no corpus at all. In our approach, we develop a voting system to combine a number of heterogeneous models, based on dictionary knowledge, gold-standard corpora and silver annotations, to enhance performance. To improve recall, we employed genetic programming to evolve 11 regular-expression patterns that capture common drug suffixes and used them as an extra means for recognition. Our approach uses a dictionary of drug names, i.e. DrugBank, a small manually annotated corpus, i.e. the pharmacokinetic corpus, and a part of the UKPMC database, as raw biomedical text. Gold-standard and silver annotated data are used to train maximum entropy and multinomial logistic regression classifiers. Aggregating drug NER methods, based on gold-standard annotations, dictionary knowledge and patterns, improved the performance on models trained on gold-standard annotations, only, achieving a maximum F-score of 95%. In addition, combining models trained on silver annotations, dictionary knowledge and patterns are shown to achieve comparable performance to models trained exclusively on gold-standard data. The main reason appears to be the morphological similarities shared among drug names. We conclude that gold-standard data are not a hard requirement for drug NER. Combining heterogeneous models build on dictionary knowledge can achieve similar or comparable classification performance with that of the best performing model trained on gold-standard annotations. Copyright © 2015 The Authors. Published by Elsevier B.V. All rights reserved.
Hearne, Luke J; Cocchi, Luca; Zalesky, Andrew; Mattingley, Jason B
2017-08-30
Our capacity for higher cognitive reasoning has a measurable limit. This limit is thought to arise from the brain's capacity to flexibly reconfigure interactions between spatially distributed networks. Recent work, however, has suggested that reconfigurations of task-related networks are modest when compared with intrinsic "resting-state" network architecture. Here we combined resting-state and task-driven functional magnetic resonance imaging to examine how flexible, task-specific reconfigurations associated with increasing reasoning demands are integrated within a stable intrinsic brain topology. Human participants (21 males and 28 females) underwent an initial resting-state scan, followed by a cognitive reasoning task involving different levels of complexity, followed by a second resting-state scan. The reasoning task required participants to deduce the identity of a missing element in a 4 × 4 matrix, and item difficulty was scaled parametrically as determined by relational complexity theory. Analyses revealed that external task engagement was characterized by a significant change in functional brain modules. Specifically, resting-state and null-task demand conditions were associated with more segregated brain-network topology, whereas increases in reasoning complexity resulted in merging of resting-state modules. Further increments in task complexity did not change the established modular architecture, but affected selective patterns of connectivity between frontoparietal, subcortical, cingulo-opercular, and default-mode networks. Larger increases in network efficiency within the newly established task modules were associated with higher reasoning accuracy. Our results shed light on the network architectures that underlie external task engagement, and highlight selective changes in brain connectivity supporting increases in task complexity. SIGNIFICANCE STATEMENT Humans have clear limits in their ability to solve complex reasoning problems. It is thought that such limitations arise from flexible, moment-to-moment reconfigurations of functional brain networks. It is less clear how such task-driven adaptive changes in connectivity relate to stable, intrinsic networks of the brain and behavioral performance. We found that increased reasoning demands rely on selective patterns of connectivity within cortical networks that emerged in addition to a more general, task-induced modular architecture. This task-driven architecture reverted to a more segregated resting-state architecture both immediately before and after the task. These findings reveal how flexibility in human brain networks is integral to achieving successful reasoning performance across different levels of cognitive demand. Copyright © 2017 the authors 0270-6474/17/378399-13$15.00/0.
Tertiary work-up of apparent treatment-resistant hypertension.
Heimark, Sondre; Eskås, Per Anders; Mariampillai, Julian Eek; Larstorp, Anne Cecilie K; Høieggen, Aud; Fadl Elmula, Fadl Elmula M
2016-10-01
Treatment-resistant hypertension (TRH) has regained attention with development of new methods for treatment. However, the prevalence of TRH varies considerably from primary to secondary and tertiary care. We aimed to assess the prevalence of true TRH in a population of patients with apparent TRH in a university hospital setting of tertiary work-up and also investigate reasons for poor BP control and evaluate how work-up can be performed in general practice and secondary care. In this cohort study, we characterize a study population from Oslo Renal Denervation (RDN) Study. Patients (n = 83) were referred for RDN from secondary care. All patients underwent thorough medical investigation and 24-h ambulatory blood pressure measurements (24ABPM) after directly observed therapy (DOT). We then assessed reasons for lack of BP control. Fifty-three of 83 patients did not have true TRH. Main reasons for non-TRH were poor drug adherence (32%), secondary hypertension (30%) and white coat hypertension (15%). Forty-seven percent achieved blood pressure control after DOT with subsequent 24ABPM. There were otherwise no statistically significant differences in patient characteristics between the true TRH and the non-TRH group. Despite being a highly selected cohort referred for tertiary work-up of apparent TRH, BP control was achieved or secondary causes were identified in almost two thirds of the patients. Thorough investigation according to guidelines and DOT with subsequent 24ABPM is needed in work-up of apparent TRH.
Artino, Anthony R; Cleary, Timothy J; Dong, Ting; Hemmer, Paul A; Durning, Steven J
2014-03-01
The primary objectives of this study were to examine the regulatory processes of medical students as they completed a diagnostic reasoning task and to examine whether the strategic quality of these regulatory processes were related to short-term and longer-term medical education outcomes. A self-regulated learning (SRL) microanalytic assessment was administered to 71 second-year medical students while they read a clinical case and worked to formulate the most probable diagnosis. Verbal responses to open-ended questions targeting forethought and performance phase processes of a cyclical model of SRL were recorded verbatim and subsequently coded using a framework from prior research. Descriptive statistics and hierarchical linear regression models were used to examine the relationships between the SRL processes and several outcomes. Most participants (90%) reported focusing on specific diagnostic reasoning strategies during the task (metacognitive monitoring), but only about one-third of students referenced these strategies (e.g. identifying symptoms, integration) in relation to their task goals and plans for completing the task. After accounting for prior undergraduate achievement and verbal reasoning ability, strategic planning explained significant additional variance in course grade (ΔR(2 ) = 0.15, p < 0.01), second-year grade point average (ΔR(2) = 0.14, p < 0.01), United States Medical Licensing Examination Step 1 score (ΔR(2) = 0.08, p < 0.05) and National Board of Medical Examiner subject examination score in internal medicine (ΔR(2) = 0.10, p < 0.05). These findings suggest that most students in the formative stages of learning diagnostic reasoning skills are aware of and think about at least one key diagnostic reasoning process or strategy while solving a clinical case, but a substantially smaller percentage set goals or develop plans that incorporate such strategies. Given that students who developed more strategic plans achieved better outcomes, the potential importance of forethought regulatory processes is underscored. Published 2014. This article is a U.S. Government work and is in the public domain in the USA. Medical Education published by John Wiley & Sons Ltd.
Relational Reasoning in Word and in Figure
ERIC Educational Resources Information Center
Alexander, Patricia A.; Singer, Lauren M.; Jablansky, Sophie; Hattan, Courtney
2016-01-01
This study investigated the relational reasoning capabilities of older adolescents and young adults when the focal assessment was a verbal and more schooled measure than 1 that was figural and more novel in its configuration. To achieve this end, the verbal test of relational reasoning (vTORR) was constructed to parallel the test of relational…
Modified Treatment Algorithm for Pseudogynecomastia After Massive Weight Loss.
Ziegler, Ulrich E; Lorenz, Udo; Daigeler, Adrien; Ziegler, Selina N; Zeplin, Philip H
2018-06-19
Pseudogynecomastia is the increased aggregation of fatty tissue in the area of the male breast with resultant female appearance. Two forms can appear: pseudogynecomastia after massive weight loss (pseudogynecomastia obese [PO]) and pseudogynecomastia, which is caused only by adipose tissue (pseudogynecomastia fat). For PO, only the Gusenoff classification with corresponding operative treatment options exists. However, this classification is limited by the fact that it underestimates the extensive variability of residual fat tissue and skin excess, both crucial factors for operative planning. For this reason, we propose a modification of the treatment algorithm for the Gusenoff classification based on our results to achieve more masculine results. A total of 43 male patients with PO were included in this retrospective study (grade 1a, n = 1; grade 1b, n = 1; grade 2, n = 17; grade 3, n = 24). Forty-two mastectomies with a free nipple-areola complex (NAC) transposition (grades 2 and 3) and 1 with a subcutaneous mastectomy (grade 1a) with periareolar lifting were performed. A retrospective chart review was performed to obtain data regarding age, body mass index, body mass index loss, weight loss, reason for weight loss, comorbidities, nicotine, and additional procedures, postoperative sensitive on the NAC transplants and complications. None of the free-nipple grafts were lost. Forty (95%) of 42 patients with mastectomy had a resensitivity on the NAC. For pseudogynecomastia, the treatment algorithm of the Gusenoff classification should be modified and adapted according to our recommendations to achieve more optimal masculine results.
Probability or Reasoning: Current Thinking and Realistic Strategies for Improved Medical Decisions
2017-01-01
A prescriptive model approach in decision making could help achieve better diagnostic accuracy in clinical practice through methods that are less reliant on probabilistic assessments. Various prescriptive measures aimed at regulating factors that influence heuristics and clinical reasoning could support clinical decision-making process. Clinicians could avoid time-consuming decision-making methods that require probabilistic calculations. Intuitively, they could rely on heuristics to obtain an accurate diagnosis in a given clinical setting. An extensive literature review of cognitive psychology and medical decision-making theory was performed to illustrate how heuristics could be effectively utilized in daily practice. Since physicians often rely on heuristics in realistic situations, probabilistic estimation might not be a useful tool in everyday clinical practice. Improvements in the descriptive model of decision making (heuristics) may allow for greater diagnostic accuracy. PMID:29209469
Probability or Reasoning: Current Thinking and Realistic Strategies for Improved Medical Decisions.
Nantha, Yogarabindranath Swarna
2017-11-01
A prescriptive model approach in decision making could help achieve better diagnostic accuracy in clinical practice through methods that are less reliant on probabilistic assessments. Various prescriptive measures aimed at regulating factors that influence heuristics and clinical reasoning could support clinical decision-making process. Clinicians could avoid time-consuming decision-making methods that require probabilistic calculations. Intuitively, they could rely on heuristics to obtain an accurate diagnosis in a given clinical setting. An extensive literature review of cognitive psychology and medical decision-making theory was performed to illustrate how heuristics could be effectively utilized in daily practice. Since physicians often rely on heuristics in realistic situations, probabilistic estimation might not be a useful tool in everyday clinical practice. Improvements in the descriptive model of decision making (heuristics) may allow for greater diagnostic accuracy.
Advanced binary geothermal power plants: Limits of performance
NASA Astrophysics Data System (ADS)
Bliem, C. J.; Mines, G. L.
1991-01-01
The Heat Cycle Research Program is investigating potential improvements to power cycles utilizing moderate temperature geothermal resources to produce electrical power. Investigations have specifically examined Rankine cycle binary power systems. Binary Rankine cycles are more efficient than the flash steam cycles at moderate resource temperature, achieving a higher net brine effectiveness. At resource conditions similar to those at the Heber binary plant, it has been shown that mixtures of saturated hydrocarbons (alkanes) or halogenated hydrocarbons operating in a supercritical Rankine cycle gave improved performance over Rankine cycles with the pure working fluids executing single or dual boiling cycles or supercritical cycles. Recently, other types of cycles have been proposed for binary geothermal service. The feasible limits on efficiency of a plant given practical limits on equipment performance is explored and the methods used in these advanced concept plants to achieve the maximum possible efficiency are discussed. (Here feasible is intended to mean reasonably achievable and not cost effective.) No direct economic analysis was made because of the sensitivity of economic results to site specific input. The limit of performance of three advanced plants were considered. The performance predictions were taken from the developers of each concept. The advanced plants considered appear to be approaching the feasible limit of performance. Ultimately, the plant designer must weigh the advantages and disadvantages of the the different cycles to find the best plant for a given service. In addition, a standard is presented of comparison of the work which has been done in the Heat Cycle Research Program and in the industrial sector by Exergy, Inc. and Polythermal Technologies.
WISC-IV and WIAT-II profiles in children with high-functioning autism.
Mayes, Susan Dickerson; Calhoun, Susan L
2008-03-01
Children with high-functioning autism earned above normal scores on the Wechsler Intelligence Scale for Children-Fourth Edition (WISC-IV) Perceptual Reasoning and Verbal Comprehension Indexes and below normal scores on the Working Memory and Processing Speed Indexes and Wechsler Individual Achievement Test-Second Edition (WIAT-II) Written Expression. Full Scale IQ (FSIQ) and reading and math scores were similar to the norm. Profiles were consistent with previous WISC-III research, except that the new WISC-IV motor-free visual reasoning subtests (Matrix Reasoning and Picture Concepts) were the highest of the nonverbal subtests. The WISC-IV may be an improvement over the WISC-III for children with high-functioning autism because it captures their visual reasoning strength, while identifying their attention, graphomotor, and processing speed weaknesses. FSIQ was the best single predictor of academic achievement.
Rathore, R S; Aparoy, P; Reddanna, P; Kondapi, A K; Reddy, M Rami
2011-07-30
In an attempt to establish the criteria for the length of simulation to achieve the desired convergence of free energy calculations, two studies were carried out on chosen complexes of FBPase-AMP mimics. Calculations were performed for varied length of simulations and for different starting configurations using both conventional- and QM/MM-FEP methods. The results demonstrate that for small perturbations, 1248 ps simulation time could be regarded a reasonable yardstick to achieve convergence of the results. As the simulation time is extended, the errors associated with free energy calculations also gradually tapers off. Moreover, when starting the simulation from different initial configurations of the systems, the results are not changed significantly, when performed for 1248 ps. This study carried on FBPase-AMP mimics corroborates well with our previous successful demonstration of requirement of simulation time for solvation studies, both by conventional and ab initio FEP. The establishment of aforementioned criteria of simulation length serves a useful benchmark in drug design efforts using FEP methodologies, to draw a meaningful and unequivocal conclusion. Copyright © 2011 Wiley Periodicals, Inc.
Glass, Leila; Moore, Eileen M; Akshoomoff, Natacha; Jones, Kenneth Lyons; Riley, Edward P; Mattson, Sarah N
2017-05-01
Academic achievement was evaluated in children with heavy prenatal alcohol exposure to determine potential strengths and weaknesses, evaluate the utility of different definitions for identifying low academic performance, and explore the neural correlates that may underlie academic performance. Children (8 to 16 years) were assessed using the WIAT-II. Patterns of performance were examined in 2 subject groups: children with heavy prenatal alcohol exposure (n = 67) and controls (n = 61). A repeated-measures MANCOVA examining group differences on academic domain (reading, spelling, math) scores was conducted. Post hoc comparisons examined within-group profiles. Numbers and percentage of children with low achievement were calculated using several criteria. In a subsample (n = 42), neural correlates were analyzed using FreeSurfer v5.3 to examine relations between cortical structure (thickness and surface area) and performance. The alcohol-exposed group performed worse than controls on all domains and had a unique academic profile, supported by a significant group × academic domain interaction (p < 0.001). For the alcohol-exposed group, math reasoning was significantly lower than numerical operations, which was significantly lower than spelling and word reading. Over half of the alcohol-exposed group (58.2%) demonstrated low achievement on 1 or more academic domains. The number and percentage of children meeting criteria for low achievement varied based on the domain and definition used. The imaging analysis identified several surface area clusters that were differentially related to math (L superior parietal and R lateral/middle occipital) and spelling (bilateral inferior and medial temporal) performance by group, with no relations for the other academic domains. Generally, scores improved as surface area decreased in controls, whereas no relation or a positive relation was observed in the alcohol-exposed group. Alcohol-exposed children demonstrated deficits in academic performance across domains and definitions, with a relative weakness in math functioning. Atypical brain development may contribute to these impairments in academic achievement. Understanding academic difficulties can assist in advocating effectively for alcohol-exposed children. Copyright © 2017 by the Research Society on Alcoholism.
Overview of Intelligent Systems and Operations Development
NASA Technical Reports Server (NTRS)
Pallix, Joan; Dorais, Greg; Penix, John
2004-01-01
To achieve NASA's ambitious mission objectives for the future, aircraft and spacecraft will need intelligence to take the correct action in a variety of circumstances. Vehicle intelligence can be defined as the ability to "do the right thing" when faced with a complex decision-making situation. It will be necessary to implement integrated autonomous operations and low-level adaptive flight control technologies to direct actions that enhance the safety and success of complex missions despite component failures, degraded performance, operator errors, and environment uncertainty. This paper will describe the array of technologies required to meet these complex objectives. This includes the integration of high-level reasoning and autonomous capabilities with multiple subsystem controllers for robust performance. Future intelligent systems will use models of the system, its environment, and other intelligent agents with which it interacts. They will also require planners, reasoning engines, and adaptive controllers that can recommend or execute commands enabling the system to respond intelligently. The presentation will also address the development of highly dependable software, which is a key component to ensure the reliability of intelligent systems.
Strategies to manage activities in everyday life after a pain rehabilitation program.
Kallhed, Cecilia; Mårtensson, Lena
2018-03-01
Owing to the complexity of the pain experience, it is important to understand how persons with chronic pain manage their condition, in order to provide an indication of how occupational therapists can enable participation in meaningful everyday activities during pain rehabilitation. The aim of this study was to explore how persons with chronic pain reason about their use and choice of strategies to manage activities of everyday life. A qualitative approach was used to capture experiences of strategies employed to manage activities while living with chronic pain. Eight persons agreed to participate. An overall theme, 'adjusting to life with chronic pain', encompasses the underlying meaning and the relations between the categories: finding new ways to perform activities, reaching for a reasonable balance of activities and using activities to achieve other purposes. Persons with chronic pain use various strategies as means to enable performance in activities of everyday life despite living with pain, which supports the conception that occupational therapists should focus on activities and strategies rather than the pain condition during pain rehabilitation.
Li, Zhixi; He, Yifan; Keel, Stuart; Meng, Wei; Chang, Robert T; He, Mingguang
2018-03-02
To assess the performance of a deep learning algorithm for detecting referable glaucomatous optic neuropathy (GON) based on color fundus photographs. A deep learning system for the classification of GON was developed for automated classification of GON on color fundus photographs. We retrospectively included 48 116 fundus photographs for the development and validation of a deep learning algorithm. This study recruited 21 trained ophthalmologists to classify the photographs. Referable GON was defined as vertical cup-to-disc ratio of 0.7 or more and other typical changes of GON. The reference standard was made until 3 graders achieved agreement. A separate validation dataset of 8000 fully gradable fundus photographs was used to assess the performance of this algorithm. The area under receiver operator characteristic curve (AUC) with sensitivity and specificity was applied to evaluate the efficacy of the deep learning algorithm detecting referable GON. In the validation dataset, this deep learning system achieved an AUC of 0.986 with sensitivity of 95.6% and specificity of 92.0%. The most common reasons for false-negative grading (n = 87) were GON with coexisting eye conditions (n = 44 [50.6%]), including pathologic or high myopia (n = 37 [42.6%]), diabetic retinopathy (n = 4 [4.6%]), and age-related macular degeneration (n = 3 [3.4%]). The leading reason for false-positive results (n = 480) was having other eye conditions (n = 458 [95.4%]), mainly including physiologic cupping (n = 267 [55.6%]). Misclassification as false-positive results amidst a normal-appearing fundus occurred in only 22 eyes (4.6%). A deep learning system can detect referable GON with high sensitivity and specificity. Coexistence of high or pathologic myopia is the most common cause resulting in false-negative results. Physiologic cupping and pathologic myopia were the most common reasons for false-positive results. Copyright © 2018 American Academy of Ophthalmology. Published by Elsevier Inc. All rights reserved.
Luo, E C; Ling, H; Dai, W; Yu, G Y
2006-12-22
In this paper, an experimental study of the effect of the resonator shape on the performance of a traveling-wave thermoacoustic engine is presented. Two different resonators were tested in the thermoacoustic-Stirling heat. One resonator is an iso-diameter one, and the other is a tapered one. To have a reasonable comparison reference, we keep the same traveling-wave loop, the same resonant frequency and the same operating pressure. The experiment showed that the resonator shape has significant influence on the global performance of the thermoacoustic-Stirling heat engine. The tapered resonator gives much better performance than the iso-diameter resonator. The tapered resonator system achieved a maximum pressure ratio of about 1.3, a maximum net acoustical power output of about 450 W and a highest thermoacoustic efficiency of about 25%.
Automated Assume-Guarantee Reasoning by Abstraction Refinement
NASA Technical Reports Server (NTRS)
Pasareanu, Corina S.; Giannakopoulous, Dimitra; Glannakopoulou, Dimitra
2008-01-01
Current automated approaches for compositional model checking in the assume-guarantee style are based on learning of assumptions as deterministic automata. We propose an alternative approach based on abstraction refinement. Our new method computes the assumptions for the assume-guarantee rules as conservative and not necessarily deterministic abstractions of some of the components, and refines those abstractions using counter-examples obtained from model checking them together with the other components. Our approach also exploits the alphabets of the interfaces between components and performs iterative refinement of those alphabets as well as of the abstractions. We show experimentally that our preliminary implementation of the proposed alternative achieves similar or better performance than a previous learning-based implementation.
NASA Astrophysics Data System (ADS)
Baker, G. N.
This paper examines the constraints upon a typical manufacturer of gyros and strapdown systems. It describes that while being responsive to exchange and keeping abreast of 'state of the art' technology, there are many reasons why the manufacturer must satisfy the market using existing technology and production equipment. The Single-Degree-of-Freedom Rate Integrating Gyro is a well established product, yet is capable of achieving far higher performances than originally envisaged due to modelling and characterization within digital strapdown systems. The parameters involved are discussed, and a description given of the calibration process undertaken on a strapdown system being manufactured in a production environment in batch quantities.
Aerodynamic flight control to increase payload capability of future launch vehicles
NASA Technical Reports Server (NTRS)
Cochran, John E., Jr.
1995-01-01
The development of new launch vehicles will require that designers use innovative approaches to achieve greater performance in terms of pay load capability. The objective of the work performed under this delivery order was to provide technical assistance to the Contract Officer's Technical Representative (COTR) in the development of ideas and concepts for increasing the payload capability of launch vehicles by incorporating aerodynamic controls. Although aerodynamic controls, such as moveable fins, are currently used on relatively small missiles, the evolution of large launch vehicles has been moving away from aerodynamic control. The COTR reasoned that a closer investigation of the use of aerodynamic controls on large vehicles was warranted.
Reasoning as a Metaphor for Skill Development in the Social Studies Curriculum.
ERIC Educational Resources Information Center
Hartoonian, H. Michael
The paper suggests ways to coordinate basic social studies skills to achieve the goal of developing reasoning ability in elementary and secondary students. The first three sections present a rationale for teaching the reasoning process in the social studies curriculum. The author stresses that in order to be an effective thinker, one should be…
ERIC Educational Resources Information Center
Salih, Maria
2008-01-01
This paper explored and described the analogical reasoning occurring in the minds of different science achievement groups for the concept of translation in protein synthesis. "What is the process of self-generated analogical reasoning?", "What types of matching was involved?" and "What are the consequences of the matching…
Jiang, Honghua; Ni, Xiao; Huster, William; Heilmann, Cory
2015-01-01
Hypoglycemia has long been recognized as a major barrier to achieving normoglycemia with intensive diabetic therapies. It is a common safety concern for the diabetes patients. Therefore, it is important to apply appropriate statistical methods when analyzing hypoglycemia data. Here, we carried out bootstrap simulations to investigate the performance of the four commonly used statistical models (Poisson, negative binomial, analysis of covariance [ANCOVA], and rank ANCOVA) based on the data from a diabetes clinical trial. Zero-inflated Poisson (ZIP) model and zero-inflated negative binomial (ZINB) model were also evaluated. Simulation results showed that Poisson model inflated type I error, while negative binomial model was overly conservative. However, after adjusting for dispersion, both Poisson and negative binomial models yielded slightly inflated type I errors, which were close to the nominal level and reasonable power. Reasonable control of type I error was associated with ANCOVA model. Rank ANCOVA model was associated with the greatest power and with reasonable control of type I error. Inflated type I error was observed with ZIP and ZINB models.
Short-term solar flare prediction using image-case-based reasoning
NASA Astrophysics Data System (ADS)
Liu, Jin-Fu; Li, Fei; Zhang, Huai-Peng; Yu, Da-Ren
2017-10-01
Solar flares strongly influence space weather and human activities, and their prediction is highly complex. The existing solutions such as data based approaches and model based approaches have a common shortcoming which is the lack of human engagement in the forecasting process. An image-case-based reasoning method is introduced to achieve this goal. The image case library is composed of SOHO/MDI longitudinal magnetograms, the images from which exhibit the maximum horizontal gradient, the length of the neutral line and the number of singular points that are extracted for retrieving similar image cases. Genetic optimization algorithms are employed for optimizing the weight assignment for image features and the number of similar image cases retrieved. Similar image cases and prediction results derived by majority voting for these similar image cases are output and shown to the forecaster in order to integrate his/her experience with the final prediction results. Experimental results demonstrate that the case-based reasoning approach has slightly better performance than other methods, and is more efficient with forecasts improved by humans.
Global velocity constrained cloud motion prediction for short-term solar forecasting
NASA Astrophysics Data System (ADS)
Chen, Yanjun; Li, Wei; Zhang, Chongyang; Hu, Chuanping
2016-09-01
Cloud motion is the primary reason for short-term solar power output fluctuation. In this work, a new cloud motion estimation algorithm using a global velocity constraint is proposed. Compared to the most used Particle Image Velocity (PIV) algorithm, which assumes the homogeneity of motion vectors, the proposed method can capture the accurate motion vector for each cloud block, including both the motional tendency and morphological changes. Specifically, global velocity derived from PIV is first calculated, and then fine-grained cloud motion estimation can be achieved by global velocity based cloud block researching and multi-scale cloud block matching. Experimental results show that the proposed global velocity constrained cloud motion prediction achieves comparable performance to the existing PIV and filtered PIV algorithms, especially in a short prediction horizon.
Neuropsychological Characteristics of Italian Children with Fetal Alcohol Spectrum Disorders
Aragón, Alfredo S.; Coriale, Giovanna; Fiorentino, Daniela; Kalberg, Wendy O.; Buckley, David; Gossage, J. Phillip; Ceccanti, Mauro; Mitchell, Elisha R.; May, Philip A.
2008-01-01
Background Children with fetal alcohol spectrum disorders (FASD) display many problems ranging from deficits in intelligence to behavioral difficulties. Thus, many studies have aimed to better define the neuropsychological characteristics of children with FASD. The current article describes the neuropsychological characteristics of Italian children with severe diagnosis within FASD and compares them with controls. It was expected that intellectual functioning, language comprehension, academic skills, and inattention/hyperactivity would discriminate children with FASD from randomly-selected peers without FASD. Methods This paper presents data from a second cohort of children examined in 2005 as part of an in-school epidemiological study of FASD in Italy. Eighty children, 23 diagnosed with a FASD, and 57 randomly-selected control children from the same 1st grade classes, participated. After screening for FASD via growth and dysmorphology, the children were administered a test of general intelligence (WISC-R) as well as tests of nonverbal reasoning (Raven Colored Progressive Matrices), language comprehension (Rustioni), academic achievement (IPDA), and problem behavior (Disruptive Behavior Disorder Rating Scale). Results Children diagnosed with a FASD achieved lower scores than control children on Verbal, Performance, and Full Scale IQ. Profile analysis of the WISC-R indicates overall differences between the groups. However, some intact functioning within the FASD group was found, as the Similarities and Vocabulary subtests were similar to the controls. After an alpha adjustment to .004, the Block Design, Object Assembly, and Mazes subtests were significantly different from controls. On tests of nonverbal reasoning, language comprehension, and academic achievement, the children with a FASD scored significantly lower. Moreover, teachers rated children with a severe diagnosis within FASD as showing more inattentive symptoms than controls, while hyperactive/impulsive characteristics among children with a FASD were comparable with the control children. Significant correlations between head circumference, child dysmorphology, WISC-R, and Raven CPM scores are also reported. Conclusions This study indicates that a sample of Italian children with a FASD, when compared to control children, display poorer functioning on measures of general intelligence, nonverbal reasoning, academic achievement, and teacher-rated problem behaviors. The findings also contribute to the formulation of a neuropsychological profile of children diagnosed with a FASD. PMID:18715277
Explaining Student and Home Variance of Chinese Reading Achievement of the PIRLS 2011 Hong Kong
ERIC Educational Resources Information Center
Cheung, Wai Ming; Lam, Joseph W. I.; Au, Doreen W. H.; So, Wendy W. Y.; Huang, Yanli; Tsang, Hector W. H.
2017-01-01
Hong Kong attained the top place in the Progress in International Reading Literacy Study (PIRLS) 2011, an international study of reading achievement, which arouses keen interest in understanding the reasons behind this remarkable achievement. Although factors associated with reading achievement in English have been widely studied, similar studies…
38 CFR 21.53 - Reasonable feasibility of achieving a vocational goal.
Code of Federal Regulations, 2010 CFR
2010-07-01
... achieving a vocational goal. 21.53 Section 21.53 Pensions, Bonuses, and Veterans' Relief DEPARTMENT OF VETERANS AFFAIRS (CONTINUED) VOCATIONAL REHABILITATION AND EDUCATION Vocational Rehabilitation and... achieving a vocational goal. (a) Requirement. The Department of Veterans Affairs shall determine the...
Krasne, Sally; Wimmers, Paul F; Relan, Anju; Drake, Thomas A
2006-05-01
Formative assessments are systematically designed instructional interventions to assess and provide feedback on students' strengths and weaknesses in the course of teaching and learning. Despite their known benefits to student attitudes and learning, medical school curricula have been slow to integrate such assessments into the curriculum. This study investigates how performance on two different modes of formative assessment relate to each other and to performance on summative assessments in an integrated, medical-school environment. Two types of formative assessment were administered to 146 first-year medical students each week over 8 weeks: a timed, closed-book component to assess factual recall and image recognition, and an un-timed, open-book component to assess higher order reasoning including the ability to identify and access appropriate resources and to integrate and apply knowledge. Analogous summative assessments were administered in the ninth week. Models relating formative and summative assessment performance were tested using Structural Equation Modeling. Two latent variables underlying achievement on formative and summative assessments could be identified; a "formative-assessment factor" and a "summative-assessment factor," with the former predicting the latter. A latent variable underlying achievement on open-book formative assessments was highly predictive of achievement on both open- and closed-book summative assessments, whereas a latent variable underlying closed-book assessments only predicted performance on the closed-book summative assessment. Formative assessments can be used as effective predictive tools of summative performance in medical school. Open-book, un-timed assessments of higher order processes appeared to be better predictors of overall summative performance than closed-book, timed assessments of factual recall and image recognition.
The Achievement Goal Questionnaire-Revised for Thai College Students and Asian Context
ERIC Educational Resources Information Center
Ratsameemonthon, L.
2015-01-01
Introduction: The four dimensions (2x2) of achievement goal are the latest versión of achievement goal questionnaire to explain reasons or purposes of individuals pursuing their goal. In Thailand the 2x2 framework of achievement goal questionnaire to examine a student's achievement goal in the Thai Language version may not have been sufficiently…
NASA Astrophysics Data System (ADS)
Azzali, F.; Ghazali, O.; Omar, M. H.
2017-08-01
The design of next generation networks in various technologies under the “Anywhere, Anytime” paradigm offers seamless connectivity across different coverage. A conventional algorithm such as RSSThreshold algorithm, that only uses the received strength signal (RSS) as a metric, will decrease handover performance regarding handover latency, delay, packet loss, and handover failure probability. Moreover, the RSS-based algorithm is only suitable for horizontal handover decision to examine the quality of service (QoS) compared to the vertical handover decision in advanced technologies. In the next generation network, vertical handover can be started based on the user’s convenience or choice rather than connectivity reasons. This study proposes a vertical handover decision algorithm that uses a Fuzzy Logic (FL) algorithm, to increase QoS performance in heterogeneous vehicular ad-hoc networks (VANET). The study uses network simulator 2.29 (NS 2.29) along with the mobility traffic network and generator to implement simulation scenarios and topologies. This helps the simulation to achieve a realistic VANET mobility scenario. The required analysis on the performance of QoS in the vertical handover can thus be conducted. The proposed Fuzzy Logic algorithm shows improvement over the conventional algorithm (RSSThreshold) in the average percentage of handover QoS whereby it achieves 20%, 21% and 13% improvement on handover latency, delay, and packet loss respectively. This is achieved through triggering a process in layer two and three that enhances the handover performance.
The application of space program fire retardant technology to housing
NASA Technical Reports Server (NTRS)
Riccitiello, S. R.; Heising, K. W.
1973-01-01
A review of the NASA fire research and developed fire retardant materials is presented with the objective to analyze and evaluate the concepts and materials to determine the practical applicability to the housing industry. The report presents the NASA materials, their performance in a fire environment and areas where further evaluation is required. The review establishes where advancements in the state of the art have been achieved and points out reasons why these advancements can not be directly applied to the housing industry in the near future.
NASA Technical Reports Server (NTRS)
Kaul, U. K.; Ross, J. C.; Jacocks, J. L.
1985-01-01
The flow into an open return wind tunnel inlet was simulated using Euler equations. An explicit predictor-corrector method was employed to solve the system. The calculation is time-accurate and was performed to achieve a steady-state solution. The predictions are in reasonable agreement with the experimental data. Wall pressures are accurately predicted except in a region of recirculating flow. Flow-field surveys agree qualitatively with laser velocimeter measurements. The method can be used in the design process for open return wind tunnels.
Research on the construction of three level customer service knowledge graph
NASA Astrophysics Data System (ADS)
Cheng, Shi; Shen, Jiajie; Shi, Quan; Cheng, Xianyi
2017-09-01
With the explosion of knowledge and information of the enterprise and the growing demand for intelligent knowledge management and application and improve business performance the knowledge expression and processing of the enterprise has become a hot topic. Aim at the problems of the electric marketing customer service knowledge map (customer service knowledge map) in building theory and method, electric marketing knowledge map of three levels of customer service was discussed, and realizing knowledge reasoning based on Neo4j, achieve good results in practical application.
Characterization and application of a broad bandwidth oscillator for the HELEN laser facility
DOE Office of Scientific and Technical Information (OSTI.GOV)
Andrew, J.E.; Stevenson, R.M.; Bett, T.H.
1995-12-31
Preliminary investigations of a potential broad band oscillator for the HELEN laser facility and its proposed upgrade are described. The reasons for the need of broad bandwidth and the choice of commercial technology to achieve it are discussed. The characterization of the device and the diagnostics used for the investigations are described. Small signal amplification of the bandwidth by a glass amplifier was also performed along with investigations of the effect of various bandwidths on the far field beam quality when using random phase plates.
Transactive discourse during assessment conversations on science learning
NASA Astrophysics Data System (ADS)
Russell, H. A., III
2005-11-01
It has been argued that development of science knowledge is the result of social interaction and adoption of shared understandings between teachers and students. A part of understanding that process is determining how student reasoning develops in groups. Transactive discussion is a form of negotiation between group members as they interpret the meaning of their logical statements about a topic. More importantly, it is a form of discourse that often leads to cognitive change as a result of the interaction between group participants as they wrestle with their different perspectives in order to achieve a common understanding. The research reported here was a correlational study designed to investigate the relationship between the various forms of transactive discussion and learning outcome performance seen in an investigation involving 24 students in a middle-SES high school located in southwest Atlanta, Georgia. Pretest and posttest measures of genetics reasoning, as well as curriculum content test data, were used in this study. Group discussion was captured on videotape and analyzed to determine whether transactional discussion was present and whether or not it had an effect on learning outcome measures. Results of this study showed that participant use of transactive discussion played a role in development of reasoning abilities in the area of genetics. It is suggested that teachers should monitor classroom discourse for the presence of transactive discussion as such discourse plays a role in fostering performance outcomes.
van Wingerden, Evelien; Segers, Eliane; van Balkom, Hans; Verhoeven, Ludo
2014-11-01
A considerable number of children with intellectual disabilities (ID) are able to acquire basic word reading skills. However, not much is known about their achievements in more advanced reading comprehension skills. In the present study, a group of 49 children with ID and a control group of 21 typically developing children with word decoding skills in the normal ranges of first grade were compared in lower level (explicit meaning) and higher level (implicit meaning) reading comprehension abilities. Moreover, in the group of children with ID it was examined to what extent their levels of lower level and higher level reading comprehension could be predicted from their linguistic skills (word decoding, vocabulary, language comprehension) and cognitive skill (nonverbal reasoning). It was found that children with ID were weaker than typically developing children in higher level reading comprehension but not in lower level reading comprehension. Children with ID also performed below the control group on nonverbal reasoning and language comprehension. After controlling for nonverbal reasoning, linguistic skills predicted lower level reading comprehension but not higher level reading comprehension. It can be concluded that children with ID who have basic decoding skill do reasonably well on lower level reading comprehension but continue to have problems with higher level reading comprehension. Copyright © 2014 Elsevier Ltd. All rights reserved.
LOGICAL REASONING ABILITY AND STUDENT PERFORMANCE IN GENERAL CHEMISTRY.
Bird, Lillian
2010-03-01
Logical reasoning skills of students enrolled in General Chemistry at the University of Puerto Rico in Río Piedras were measured using the Group Assessment of Logical Thinking (GALT) test. The results were used to determine the students' cognitive level (concrete, transitional, formal) as well as their level of performance by logical reasoning mode (mass/volume conservation, proportional reasoning, correlational reasoning, experimental variable control, probabilistic reasoning and combinatorial reasoning). This information was used to identify particular deficiencies and gender effects, and to determine which logical reasoning modes were the best predictors of student performance in the general chemistry course. Statistical tests to analyze the relation between (a) operational level and final grade in both semesters of the course; (b) GALT test results and performance in the ACS General Chemistry Examination; and (c) operational level and student approach (algorithmic or conceptual) towards a test question that may be answered correctly using either strategy, were also performed.
LOGICAL REASONING ABILITY AND STUDENT PERFORMANCE IN GENERAL CHEMISTRY
Bird, Lillian
2010-01-01
Logical reasoning skills of students enrolled in General Chemistry at the University of Puerto Rico in Río Piedras were measured using the Group Assessment of Logical Thinking (GALT) test. The results were used to determine the students’ cognitive level (concrete, transitional, formal) as well as their level of performance by logical reasoning mode (mass/volume conservation, proportional reasoning, correlational reasoning, experimental variable control, probabilistic reasoning and combinatorial reasoning). This information was used to identify particular deficiencies and gender effects, and to determine which logical reasoning modes were the best predictors of student performance in the general chemistry course. Statistical tests to analyze the relation between (a) operational level and final grade in both semesters of the course; (b) GALT test results and performance in the ACS General Chemistry Examination; and (c) operational level and student approach (algorithmic or conceptual) towards a test question that may be answered correctly using either strategy, were also performed. PMID:21373364
Söderqvist, Stina; Nutley, Sissela B.; Ottersen, Jon; Grill, Katja M.; Klingberg, Torkel
2012-01-01
Children with intellectual disabilities show deficits in both reasoning ability and working memory (WM) that impact everyday functioning and academic achievement. In this study we investigated the feasibility of cognitive training for improving WM and non-verbal reasoning (NVR) ability in children with intellectual disability. Participants were randomized to a 5-week adaptive training program (intervention group) or non-adaptive version of the program (active control group). Cognitive assessments were conducted prior to and directly after training and 1 year later to examine effects of the training. Improvements during training varied largely and amount of progress during training predicted transfer to WM and comprehension of instructions, with higher training progress being associated with greater transfer improvements. The strongest predictors for training progress were found to be gender, co-morbidity, and baseline capacity on verbal WM. In particular, females without an additional diagnosis and with higher baseline performance showed greater progress. No significant effects of training were observed at the 1-year follow-up, suggesting that training should be more intense or repeated in order for effects to persist in children with intellectual disabilities. A major finding of this study is that cognitive training is feasible in this clinical sample and can help improve their cognitive performance. However, a minimum cognitive capacity or training ability seems necessary for the training to be beneficial, with some individuals showing little improvement in performance. Future studies of cognitive training should take into consideration how inter-individual differences in training progress influence transfer effects and further investigate how baseline capacities predict training outcome. PMID:23060775
ERIC Educational Resources Information Center
Corcoran, Roisin P.; O'Flaherty, Joanne
2016-01-01
Moral reasoning is concerned with making decisions regarding the appropriate course of action in particular situations and has been highlighted as a critical factor that may facilitate (or impede) the effectiveness of educational programs in promoting positive outcomes. This study examined the trajectories of moral reasoning as measured by the…
ERIC Educational Resources Information Center
Krulik, Stephen; Rudnick, Jesse A.
Many teachers and administrators have recognized that problem solving and reasoning represent two of the primary goals in the education of children. In order for teachers to achieve these goals, they must have appropriate materials available to them. This book includes materials to help teach and assess problem solving and reasoning. The first six…
ERIC Educational Resources Information Center
Acar, Ömer; Patton, Bruce R.
2016-01-01
This study had two research purposes. First, we examined the scientific reasoning gains of prospective science teachers who are concrete, formal, and postformal reasoners in an argumentation-based physics inquiry instruction. Second, we sought conceptual knowledge and achievement gaps between these student groups before and after the instruction.…
Strong Stackelberg reasoning in symmetric games: An experimental replication and extension
Colman, Andrew M.; Lawrence, Catherine L.
2014-01-01
In common interest games in which players are motivated to coordinate their strategies to achieve a jointly optimal outcome, orthodox game theory provides no general reason or justification for choosing the required strategies. In the simplest cases, where the optimal strategies are intuitively obvious, human decision makers generally coordinate without difficulty, but how they achieve this is poorly understood. Most theories seeking to explain strategic coordination have limited applicability, or require changes to the game specification, or introduce implausible assumptions or radical departures from fundamental game-theoretic assumptions. The theory of strong Stackelberg reasoning, according to which players choose strategies that would maximize their own payoffs if their co-players could invariably anticipate any strategy and respond with a best reply to it, avoids these problems and explains strategic coordination in all dyadic common interest games. Previous experimental evidence has provided evidence for strong Stackelberg reasoning in asymmetric games. Here we report evidence from two experiments consistent with players being influenced by strong Stackelberg reasoning in a wide variety of symmetric 3 × 3 games but tending to revert to other choice criteria when strong Stackelberg reasoning generates small payoffs. PMID:24688846
Strong Stackelberg reasoning in symmetric games: An experimental replication and extension.
Pulford, Briony D; Colman, Andrew M; Lawrence, Catherine L
2014-01-01
In common interest games in which players are motivated to coordinate their strategies to achieve a jointly optimal outcome, orthodox game theory provides no general reason or justification for choosing the required strategies. In the simplest cases, where the optimal strategies are intuitively obvious, human decision makers generally coordinate without difficulty, but how they achieve this is poorly understood. Most theories seeking to explain strategic coordination have limited applicability, or require changes to the game specification, or introduce implausible assumptions or radical departures from fundamental game-theoretic assumptions. The theory of strong Stackelberg reasoning, according to which players choose strategies that would maximize their own payoffs if their co-players could invariably anticipate any strategy and respond with a best reply to it, avoids these problems and explains strategic coordination in all dyadic common interest games. Previous experimental evidence has provided evidence for strong Stackelberg reasoning in asymmetric games. Here we report evidence from two experiments consistent with players being influenced by strong Stackelberg reasoning in a wide variety of symmetric 3 × 3 games but tending to revert to other choice criteria when strong Stackelberg reasoning generates small payoffs.
ERIC Educational Resources Information Center
Alton, Bruce T.
1982-01-01
Two surveys, taken 10 years apart, describe college presidents' tenure in their positions and their reasons for leaving. Those reasons include achievement of objectives, a longer-than-average term, becoming chancellor, governing board relationships, faculty relations, family needs, physical stamina, retrenchment, and merger. (MSE)
Employing Abductive Reasoning to Achieve Understanding
2015-01-01
Education needs to cultivate among students the habit of abductive reasoning, which requires the integration of mature theories into military work...instructions, searching existing data sources, gathering and maintaining the data needed , and completing and reviewing this collection of information...
Employing Abductive Reasoning to Achieve Understanding
2015-06-12
Military Education needs to cultivate among students the habit of abductive reasoning, which requires the integration of mature theories into military...instructions, searching existing data sources, gathering and maintaining the data needed , and completing and reviewing this collection of information...
Domain-general contributions to social reasoning: theory of mind and deontic reasoning re-explored.
McKinnon, Margaret C; Moscovitch, Morris
2007-02-01
Using older adults and dual-task interference, we examined performance on two social reasoning tasks: theory of mind (ToM) tasks and versions of the deontic selection task involving social contracts and hazardous conditions. In line with performance accounts of social reasoning, evidence from both aging and the dual-task method suggested that domain-general resources contribute to performance of these tasks. Specifically, older adults were impaired relative to younger adults on all types of social reasoning tasks tested; performance varied as a function of the demands these tasks placed on domain-general resources. Moreover, in younger adults, simultaneous performance of a working memory task interfered with younger adults' performance on both types of social reasoning tasks; here too, the magnitude of the interference effect varied with the processing demands of each task. Limits placed on social reasoning by executive functions contribute a great deal to performance, even in old age and in healthy younger adults under conditions of divided attention. The role of potentially non-modular and modular contributions to social reasoning is discussed.
Jihong, Qu
2014-01-01
Wind-hydrothermal power system dispatching has received intensive attention in recent years because it can help develop various reasonable plans to schedule the power generation efficiency. But future data such as wind power output and power load would not be accurately predicted and the nonlinear nature involved in the complex multiobjective scheduling model; therefore, to achieve accurate solution to such complex problem is a very difficult task. This paper presents an interval programming model with 2-step optimization algorithm to solve multiobjective dispatching. Initially, we represented the future data into interval numbers and simplified the object function to a linear programming problem to search the feasible and preliminary solutions to construct the Pareto set. Then the simulated annealing method was used to search the optimal solution of initial model. Thorough experimental results suggest that the proposed method performed reasonably well in terms of both operating efficiency and precision. PMID:24895663
Ren, Kun; Jihong, Qu
2014-01-01
Wind-hydrothermal power system dispatching has received intensive attention in recent years because it can help develop various reasonable plans to schedule the power generation efficiency. But future data such as wind power output and power load would not be accurately predicted and the nonlinear nature involved in the complex multiobjective scheduling model; therefore, to achieve accurate solution to such complex problem is a very difficult task. This paper presents an interval programming model with 2-step optimization algorithm to solve multiobjective dispatching. Initially, we represented the future data into interval numbers and simplified the object function to a linear programming problem to search the feasible and preliminary solutions to construct the Pareto set. Then the simulated annealing method was used to search the optimal solution of initial model. Thorough experimental results suggest that the proposed method performed reasonably well in terms of both operating efficiency and precision.
Five-Year ALARA Review of Dosimetry Results 1 January 2010 through 31 December 2014.
DOE Office of Scientific and Technical Information (OSTI.GOV)
Paulus, Luke R.
2015-06-01
A review of dosimetry results from 1 January 2010 through 31 December 2014 was conducted to demonstrate that radiation protection methods used are compliant with regulatory limits and conform to the philosophy to keep exposures to radiation As Low As is Reasonably Achievable (ALARA). This included a review and evaluation of personnel dosimetry (external and internal) results at Sandia National Laboratories, New Mexico as well as at Sandia National Laboratories, California. Additionally, results of environmental monitoring efforts at Sandia National Laboratories, New Mexico were reviewed. ALARA is a philosophical approach to radiation protection by managing and controlling radiation exposures (individualmore » and collective) to the work force and to the general public to levels that are As Low As is Reasonably Achievable taking social, technical, economic, practical, and public policy considerations into account. ALARA is not a dose limit but a process which has the objective of attaining doses as far below applicable dose limits As Low As is Reasonably Achievable.« less
Wouters, Anouk; Croiset, Gerda; Schripsema, Nienke R; Cohen-Schotanus, Janke; Spaai, Gerard W G; Hulsman, Robert L; Kusurkar, Rashmi A
2017-06-12
The aim was to examine main reasons for students' medical school choice and their relationship with students' characteristics and motivation during the students' medical study. In this multisite cross-sectional study, all Year-1 and Year-4 students who had participated in a selection procedure in one of the three Dutch medical schools included in the study were invited to complete an online survey comprising personal data, their main reason for medical school choice and standard, validated questionnaires to measure their strength of motivation (Strength of Motivation for Medical School-Revised) and autonomous and controlled type of motivation (Academic Self-regulation Questionnaire). Four hundred seventy-eight students participated. We performed frequency analyses on the reasons for medical school choice and regression analyses and ANCOVAs to study their associations with students' characteristics and motivation during their medical study. Students indicated 'city' (Year-1: 24.7%, n=75 and Year-4: 36.0%, n=52) and 'selection procedure' (Year-1: 56.9%, n=173 and Year-4: 46.9%, n=68) as the main reasons for their medical school choice. The main reasons were associated with gender, age, being a first-generation university student, ethnic background and medical school, and no significant associations were found between the main reasons and the strength and type of motivation during the students' medical study. Most students had based their medical school choice on the selection procedure. If medical schools desire to achieve a good student-curriculum fit and attract a diverse student population aligning the selection procedure with the curriculum and taking into account various students' different approaches is important.
Moral reasoning and personality traits.
Mudrack, Peter E
2006-06-01
Moral reasoning should not be clearly associated with measures of personality traits. Although this assumption pervades the moral reasoning literature, it may not always be true. This paper provides evidence that moral reasoning, as assessed with P scores of the Defining Issues Test, is indeed positively associated with five traits from the California Psychological Inventory: Achievement via Independence, Intellectual Efficiency, Tolerance, Responsibility, and Capacity for Status. Such relationships make conceptual sense, shed light on the meaning and implications of moral reasoning, call into question prevailing assumptions in the literature, and may encourage investigators to broaden the types of research questions asked in the context of moral reasoning.
NASA Astrophysics Data System (ADS)
Lawrence, Lettie Carol
1997-08-01
The purpose of this investigation was to determine if an integrated curriculum in algebra 1/physical science facilitates acquisition of proportional reasoning and graphing abilities better than a non-integrated, traditional, algebra 1 curriculum. Also, this study was to ascertain if the integrated algebra 1/physical science curriculum resulted in greater student achievement in algebra 1. The curriculum used in the experimental class was SAM 9 (Science and Mathematics 9), an investigation-based curriculum that was written to integrate physical science and basic algebra content. The experiment was conducted over one school year. The subjects in the study were 61 ninth grade students. The experimental group consisted of one class taught concurrently by a mathematics teacher and a physical science teacher. The control group consisted of three classes of algebra 1 students taught by one mathematics teacher and taking physical science with other teachers in the school who were not participating in the SAM 9 program. This study utilized a quasi-experimental non-randomized control group pretest-posttest design. The investigator obtained end-of-algebra 1 scores from student records. The written open-ended graphing instruments and the proportional reasoning instrument were administered to both groups as pretests and posttests. The graphing instruments were also administered as a midtest. A two sample t-test for independent means was used to determine significant differences in achievement on the end-of-course algebra 1 test. Quantitative data from the proportional reasoning and graphing instruments were analyzed using a repeated measures analysis of variance to determine differences in scores over time for the experimental and control groups. The findings indicate no significant difference between the experimental and control groups on the end-of-course algebra 1 test. Results also indicate no significant differences in proportional reasoning and graphing abilities between the two groups over time. However, all subjects (experimental and control groups) made significant improvement in graphing abilities over one school year. In this study, students participating in an investigation-based curriculum integrating algebra 1 and physical science performed as well on the instruments as the students in the traditional curriculum. Therefore, an argument can be made that instruction using an integrated curriculum (algebra l/physical science) is a viable alternative to instruction using a more traditional algebra 1 curriculum. Finally, the integrated curriculum adheres to the constructivist theoretical perspective (Krupnik-Gotlieb, 1995) and is more consistent with recommendations in the NCTM Standards (1992) than the traditional curriculum.
Kornreich, C; Delle-Vigne, D; Knittel, J; Nerincx, A; Campanella, S; Noel, X; Hanak, C; Verbanck, P; Ermer, E
2011-01-01
Aims To study the “social brain” in alcoholics by investigating social contract reasoning, theory of mind, and emotional intelligence. Design A behavioral study comparing recently detoxified alcoholics with normal, healthy controls. Setting Emotional intelligence and decoding of emotional non-verbal cues have been shown to be impaired in alcoholics. This study explores whether these deficits extend to conditional reasoning about social contracts. Participants 25 recently detoxified alcoholics (17 men and 8 women) were compared with 25 normal controls (17 men and 8 women) matched for sex, age, and education level. Measurements Wason Selection Task investigating conditional reasoning on three different rule types (social contract, precautionary, and descriptive), Revised Reading the Mind in the Eyes Test, Trait Emotional Intelligence Questionnaire (modified version), and additional control measures. Findings Conditional reasoning was impaired in alcoholics. Performance on descriptive rules was not above chance. Reasoning performance was markedly better on social contract and precautionary rules, but this performance was still significantly lower than in controls. Several emotional intelligence measures were lower in alcoholics compared to controls, but these were not correlated with reasoning performance. Conclusions Conditional reasoning and emotional intelligence appear impaired in alcoholics. Impairment was particularly severe on descriptive rules. Though alcoholics' performance was better on social contract and precautionary rules, overall reasoning performance was still low. Differential performance is consistent with distinct neurocognitive reasoning mechanisms and partial resilience of evolutionarily-relevant functions. Impairment in social contract reasoning might lead to misunderstandings and frustration in social interactions, and reasoning difficulties about precautionary rules might contribute to risky behaviors in this population. PMID:21205056
Teich, Sorin T; Roperto, Renato; Alonso, Aurelio A; Lang, Lisa A
2016-06-01
A Comprehensive Care Experience Level (CCEL) system that is aligned with Commission on Dental Accreditation (CODA) standards, promotes comprehensive care and prevention, and addresses flaws observed in previous Relative Value Units (RVU)-based programs has been implemented at the School of Dental Medicine, Case Western Reserve University since 2011. The purpose of this article is to report on the design, implementation, and preliminary outcomes of this novel clinical evaluation system. With the development of the CCEL concept, it was decided not to award points for procedures performed on competency exams. The reason behind this decision was that exams are not learning opportunities and are evaluated with summative tools. To determine reasonable alternative requirements, production data from previous classes were gathered and translated into CCEL points. These RVU points had been granted selectively only for restorative procedures completed after the initial preparation stage of the treatment plan, and achievement of the required levels was checked at multiple points during the clinical curriculum. Results of the CCEL system showed that low performing students increased their productivity, overall production at graduation increased significantly, and fluoride utilization to prevent caries rose by an order of magnitude over the RVU system. The CCEL program also allowed early identification and remediation of students having difficulty in the clinic. This successful implementation suggests that the CCEL concept has the potential for widespread adoption by dental schools. This method also can be used as a behavior modification tool to achieve specific patient care or clinical educational goals as illustrated by the way caries prevention was promoted through the program.
Factors Influencing Student Achievement in Reading
ERIC Educational Resources Information Center
Dawkins, Lakeshia Darby
2017-01-01
The purpose of this study was to understand the reasons, as perceived by elementary school teachers at the target Title I school, for low student achievement in reading. The conceptual framework that guided this study was the ecological theory that postulates that students' academic achievement is influenced by several subsystems that affect human…
Numerical simulations of recent proton acceleration experiments with sub-100 TW laser systems
NASA Astrophysics Data System (ADS)
Sinigardi, Stefano
2016-09-01
Recent experiments carried out at the Italian National Research Center, National Optics Institute Department in Pisa, are showing interesting results regarding maximum proton energies achievable with sub-100 TW laser systems. While laser systems are being continuously upgraded in laboratories around the world, at the same time a new trend on stabilizing and making ion acceleration results reproducible is growing in importance. Almost all applications require a beam with fixed performance, so that the energy spectrum and the total charge exhibit moderate shot to shot variations. This result is surely far from being achieved, but many paths are being explored in order to reach it. Some of the reasons for this variability come from fluctuations in laser intensity and focusing, due to optics instability. Other variation sources come from small differences in the target structure. The target structure can vary substantially, when it is impacted by the main pulse, due to the prepulse duration and intensity, the shape of the main pulse and the total energy deposited. In order to qualitatively describe the prepulse effect, we will present a two dimensional parametric scan of its relevant parameters. A single case is also analyzed with a full three dimensional simulation, obtaining reasonable agreement between the numerical and the experimental energy spectrum.
Immobile Robots: AI in the New Millennium
NASA Technical Reports Server (NTRS)
Williams, Brian C.; Nayak, P. Pandurang
1996-01-01
A new generation of sensor rich, massively distributed, autonomous systems are being developed that have the potential for profound social, environmental, and economic change. These include networked building energy systems, autonomous space probes, chemical plant control systems, satellite constellations for remote ecosystem monitoring, power grids, biosphere-like life support systems, and reconfigurable traffic systems, to highlight but a few. To achieve high performance, these immobile robots (or immobots) will need to develop sophisticated regulatory and immune systems that accurately and robustly control their complex internal functions. To accomplish this, immobots will exploit a vast nervous system of sensors to model themselves and their environment on a grand scale. They will use these models to dramatically reconfigure themselves in order to survive decades of autonomous operations. Achieving these large scale modeling and configuration tasks will require a tight coupling between the higher level coordination function provided by symbolic reasoning, and the lower level autonomic processes of adaptive estimation and control. To be economically viable they will need to be programmable purely through high level compositional models. Self modeling and self configuration, coordinating autonomic functions through symbolic reasoning, and compositional, model-based programming are the three key elements of a model-based autonomous systems architecture that is taking us into the New Millennium.
Classifying Drivers' Cognitive Load Using EEG Signals.
Barua, Shaibal; Ahmed, Mobyen Uddin; Begum, Shahina
2017-01-01
A growing traffic safety issue is the effect of cognitive loading activities on traffic safety and driving performance. To monitor drivers' mental state, understanding cognitive load is important since while driving, performing cognitively loading secondary tasks, for example talking on the phone, can affect the performance in the primary task, i.e. driving. Electroencephalography (EEG) is one of the reliable measures of cognitive load that can detect the changes in instantaneous load and effect of cognitively loading secondary task. In this driving simulator study, 1-back task is carried out while the driver performs three different simulated driving scenarios. This paper presents an EEG based approach to classify a drivers' level of cognitive load using Case-Based Reasoning (CBR). The results show that for each individual scenario as well as using data combined from the different scenarios, CBR based system achieved approximately over 70% of classification accuracy.
Estimating the parasitaemia of Plasmodium falciparum: experience from a national EQA scheme
2013-01-01
Background To examine performance of the identification and estimation of percentage parasitaemia of Plasmodium falciparum in stained blood films distributed in the UK National External Quality Assessment Scheme (UKNEQAS) Blood Parasitology Scheme. Methods Analysis of performance for the diagnosis and estimation of the percentage parasitaemia of P. falciparum in Giemsa-stained thin blood films was made over a 15-year period to look for trends in performance. Results An average of 25% of participants failed to estimate the percentage parasitaemia, 17% overestimated and 8% underestimated, whilst 5% misidentified the malaria species present. Conclusions Although the results achieved by participants for other blood parasites have shown an overall improvement, the level of performance for estimation of the parasitaemia of P. falciparum remains unchanged over 15 years. Possible reasons include incorrect calculation, not examining the correct part of the film and not examining an adequate number of microscope fields. PMID:24261625
Experiments in structural dynamics and control using a grid
NASA Technical Reports Server (NTRS)
Montgomery, R. C.
1985-01-01
Future spacecraft are being conceived that are highly flexible and of extreme size. The two features of flexibility and size pose new problems in control system design. Since large scale structures are not testable in ground based facilities, the decision on component placement must be made prior to full-scale tests on the spacecraft. Control law research is directed at solving problems of inadequate modelling knowledge prior to operation required to achieve peak performance. Another crucial problem addressed is accommodating failures in systems with smart components that are physically distributed on highly flexible structures. Parameter adaptive control is a method of promise that provides on-orbit tuning of the control system to improve performance by upgrading the mathematical model of the spacecraft during operation. Two specific questions are answered in this work. They are: What limits does on-line parameter identification with realistic sensors and actuators place on the ultimate achievable performance of a system in the highly flexible environment? Also, how well must the mathematical model used in on-board analytic redundancy be known and what are the reasonable expectations for advanced redundancy management schemes in the highly flexible and distributed component environment?
A Reactor Development Scenario for the FUZE Shear-flow Stabilized Z-pinch
NASA Astrophysics Data System (ADS)
McLean, H. S.; Higginson, D. P.; Schmidt, A.; Tummel, K. K.; Shumlak, U.; Nelson, B. A.; Claveau, E. L.; Golingo, R. P.; Weber, T. R.
2016-10-01
We present a conceptual design, scaling calculations, and a development path for a pulsed fusion reactor based on the shear-flow-stabilized Z-pinch device. Experiments performed on the ZaP device have demonstrated stable operation for 40 us at 150 kA total discharge current (with 100 kA in the pinch) for pinches that are 1cm in diameter and 100 cm long. Scaling calculations show that achieving stabilization for a pulse of 100 usec, for discharge current 1.5 MA, in a shortened pinch 50 cm, results in a pinch diameter of 200 um and a reactor plant Q 5 for reasonable assumptions of the various system efficiencies. We propose several key intermediate performance levels in order to justify further development. These include achieving operation at pinch currents of 300 kA, where Te and Ti are calculated to exceed 1 keV, 700 kA where fusion power exceeds pinch input power, and 1 MA where fusion energy per pulse exceeds input energy per pulse. This work funded by USDOE ARPAe ALPHA Program and performed under the auspices of Lawrence Livermore National Laboratory under Contract DE-AC52-07NA27344. LLNL-ABS-697801.
Hildt, Elisabeth; Lieb, Klaus; Franke, Andreas Günter
2014-03-07
Academic performance enhancement or cognitive enhancement (CE) via stimulant drug use has received increasing attention. The question remains, however, whether CE solely represents the use of drugs for achieving better academic or workplace results or whether CE also serves various other purposes. The aim of this study was to put the phenomenon of pharmacological academic performance enhancement via prescription and illicit (psycho-) stimulant use (Amphetamines, Methylphenidate) among university students into a broader context. Specifically, we wanted to further understand students' experiences, the effects of use on students and other factors, such as pressure to perform in their academic and private lives. A sample of 18 healthy university students reporting the non-medical use of prescription and illicit stimulants for academic performance enhancement was interviewed in a face-to-face setting. The leading questions were related to the situations and context in which the students considered the non-medical use of stimulants. Based on the resultant transcript, two independent raters identified six categories relating to the life context of stimulant use for academic performance enhancement: Context of stimulant use beyond academic performance enhancement, Subjective experience of enhancement, Timing of consumption, Objective academic results, Side effects, Pressure to perform. The answers reveal that academic performance enhancement through the use of stimulants is not an isolated phenomenon that solely aims at enhancing cognition to achieve better academic results but that the multifaceted life context in which it is embedded is of crucial relevance. The participants not only considered the stimulants advantageous for enhancing academic performance, but also for leading an active life with a suitable balance between studying and time off. The most common reasons given for stimulant use were to maximize time, to increase motivation and to cope with memorizing. According to the interviews, there is a considerable discrepancy between subjective experiences and objective academic results achieved.
2014-01-01
Background Academic performance enhancement or cognitive enhancement (CE) via stimulant drug use has received increasing attention. The question remains, however, whether CE solely represents the use of drugs for achieving better academic or workplace results or whether CE also serves various other purposes. The aim of this study was to put the phenomenon of pharmacological academic performance enhancement via prescription and illicit (psycho-) stimulant use (Amphetamines, Methylphenidate) among university students into a broader context. Specifically, we wanted to further understand students’ experiences, the effects of use on students and other factors, such as pressure to perform in their academic and private lives. Methods A sample of 18 healthy university students reporting the non-medical use of prescription and illicit stimulants for academic performance enhancement was interviewed in a face-to-face setting. The leading questions were related to the situations and context in which the students considered the non-medical use of stimulants. Results Based on the resultant transcript, two independent raters identified six categories relating to the life context of stimulant use for academic performance enhancement: Context of stimulant use beyond academic performance enhancement, Subjective experience of enhancement, Timing of consumption, Objective academic results, Side effects, Pressure to perform. Conclusions The answers reveal that academic performance enhancement through the use of stimulants is not an isolated phenomenon that solely aims at enhancing cognition to achieve better academic results but that the multifaceted life context in which it is embedded is of crucial relevance. The participants not only considered the stimulants advantageous for enhancing academic performance, but also for leading an active life with a suitable balance between studying and time off. The most common reasons given for stimulant use were to maximize time, to increase motivation and to cope with memorizing. According to the interviews, there is a considerable discrepancy between subjective experiences and objective academic results achieved. PMID:24606831
Space station dynamic modeling, disturbance accommodation, and adaptive control
NASA Technical Reports Server (NTRS)
Wang, S. J.; Ih, C. H.; Lin, Y. H.; Metter, E.
1985-01-01
Dynamic models for two space station configurations were derived. Space shuttle docking disturbances and their effects on the station and solar panels are quantified. It is shown that hard shuttle docking can cause solar panel buckling. Soft docking and berthing can substantially reduce structural loads at the expense of large shuttle and station attitude excursions. It is found predocking shuttle momentum reduction is necessary to achieve safe and routine operations. A direct model reference adaptive control is synthesized and evaluated for the station model parameter errors and plant dynamics truncations. The rigid body and the flexible modes are treated. It is shown that convergence of the adaptive algorithm can be achieved in 100 seconds with reasonable performance even during shuttle hard docking operations in which station mass and inertia are instantaneously changed by more than 100%.
NASA Astrophysics Data System (ADS)
Lin, Che-Tseng; Huang, Tzu-Yang; Huang, Jau-Jiun; Wu, Nae-Lih; Leung, Man-kit
2016-10-01
Multifunctional co-poly(amic acid) (PAmA) containing pyrene and carboxylic acid side-chains is developed as a binder for the recycled kerf-loss Si-Ni-SiC composite anode. The capacity retention performance of the lithium-ion battery can be apparently enhanced. In a long-cycle test of 300 lithiation/delithiation cycles, 79% of capacity retention is achieved. In considering that the recycled kerf-loss Si sample contains 38 wt% inactive micro-sized SiC abrasive particles, the achieved capacity of 648 mAh g-1 is reasonably high in comparison to other reported values. Small anode thickness expansion of 43% is found in a 100 cycle test, reflecting that the use of the PAmA binder can create strong interconnection among the silicon particles, conductive carbons and copper electrode.
Ieni, Antonio; Barresi, Valeria; Todaro, Paolo; Caruso, Rosario Alberto; Tuccari, Giovanni
2015-01-01
In the present review we have analyzed the clinical applications of endoscopic ultrasound-guided-fine-needle-aspiration (EUS-FNA) and the methodological aspects obtained by cell-block procedure (CBP) in the diagnostic approach to the gastrointestinal neoplastic pathology. CBP showed numerous advantages in comparison to the cytologic routine smears; in particular, better preservation of cell architecture, achievement of routine haematoxylin-eosin staining equivalent to histological slides and possibility to perform immunohistochemistry or molecular analyses represented the most evident reasons to choose this method. Moreover, by this approach, the differential diagnosis of solid gastrointestinal neoplasias may be more easily achieved and the background of contaminant non-neoplastic gastrointestinal avoided. Finally, biological samples collected by EUS-FNA CBP-assisted should be investigated in order to identify and quantify further potential molecular markers. PMID:26322154
Accuracy and Precision of Visual Stimulus Timing in PsychoPy: No Timing Errors in Standard Usage
Garaizar, Pablo; Vadillo, Miguel A.
2014-01-01
In a recent report published in PLoS ONE, we found that the performance of PsychoPy degraded with very short timing intervals, suggesting that it might not be perfectly suitable for experiments requiring the presentation of very brief stimuli. The present study aims to provide an updated performance assessment for the most recent version of PsychoPy (v1.80) under different hardware/software conditions. Overall, the results show that PsychoPy can achieve high levels of precision and accuracy in the presentation of brief visual stimuli. Although occasional timing errors were found in very demanding benchmarking tests, there is no reason to think that they can pose any problem for standard experiments developed by researchers. PMID:25365382
Gao, Fan; Zhou, Shiwei; Li, Xiang; Fu, Songnian; Deng, Lei; Tang, Ming; Liu, Deming; Yang, Qi
2017-04-03
We experimentally demonstrate 2 × 64 Gb/s PAM-4 transmission over a 70 km standard single-mode fiber (SSMF) using two O-band 18G-class directly modulated lasers (DMLs). Only one praseodymium-doped fiber amplifier (PDFA) at the receiver side is used to compensate the transmission loss. Meanwhile, transmission impairments are compensated by a sparse Volterra filter (SVF) equalizer, which can achieve similar system performance but with half the computational complexity (CC), in comparison with a traditional VF equalizer. Finally, we optimize the insignificant factor (IF) of SVF to identify the trade-off between the transmission performance and the CC. Thus, the redundancy of individual SVF kernels can be reasonably removed.
Innocentini, Murilo D M; Rodrigues, Vanessa P; Romano, Roberto C O; Pileggi, Rafael G; Silva, Gracinda M C; Coury, José R
2009-02-15
Porous ceramic samples were prepared from aqueous foam incorporated alumina suspension for application as hot aerosol filtering membrane. The procedure for establishment of membrane features required to maintain a desired flow condition was theoretically described and experimental work was designed to prepare ceramic membranes to meet the predicted criteria. Two best membranes, thus prepared, were selected for permeability tests up to 700 degrees C and their total and fractional collection efficiencies were experimentally evaluated. Reasonably good performance was achieved at room temperature, while at 700 degrees C, increased permeability was obtained with significant reduction in collection efficiency, which was explained by a combination of thermal expansion of the structure and changes in the gas properties.
A study of the conceptual comprehension of electric circuits that engineer freshmen display
NASA Astrophysics Data System (ADS)
Chang, Wheijen; Shieh, Ruey S.
2018-07-01
The purpose of this study was to examine the extent of students’ conceptual comprehension of electric circuits obtained during their high school years, as opposed to in recent class lectures. A total of 201 first-year university students majoring in Engineering in four introductory physics classes were involved in the study. A lecture demonstration of electric circuits was designed to achieve the study purpose. After observing the demonstration, the students were required to identify the associated phenomena and then explain the underlying physical laws. The students’ reasoning performance was used to examine their conceptual comprehension. Two instructional strategies, group discussion without prior lecture and individual reasoning with prior lecture, were implemented to assess student performance. The findings disclosed that although the students had studied the topic previously, most of them could only identify the key phenomena involving simple principles, but failed to identify those involving profound ones. The models most of them adopted were scientifically acceptable but inappropriate in the given context. The students who engaged in group discussion appeared to have a higher phenomenon identification rate than that of the individual-reasoning group. Contrarily, the individual-reasoning group was found to have adopted the valid principles more effectively than the discussion group, probably due to the prior instruction received in the current class. The topics recently lectured seemed to have guided the students’ cognitive orientations toward selecting principles, regardless of their validity. The study findings reveal that the concepts the students had acquired from their earlier learning were rather limited. That is, sophisticated instructional design is always pivotal, regardless of students’ prior learning experiences. Moreover, when adopting demonstration as a teaching tool, explicit instructional guidance is also crucial.
The new landscape of parallel computer architecture
NASA Astrophysics Data System (ADS)
Shalf, John
2007-07-01
The past few years has seen a sea change in computer architecture that will impact every facet of our society as every electronic device from cell phone to supercomputer will need to confront parallelism of unprecedented scale. Whereas the conventional multicore approach (2, 4, and even 8 cores) adopted by the computing industry will eventually hit a performance plateau, the highest performance per watt and per chip area is achieved using manycore technology (hundreds or even thousands of cores). However, fully unleashing the potential of the manycore approach to ensure future advances in sustained computational performance will require fundamental advances in computer architecture and programming models that are nothing short of reinventing computing. In this paper we examine the reasons behind the movement to exponentially increasing parallelism, and its ramifications for system design, applications and programming models.
Hao, Yan; Saygili, Yasemin; Cong, Jiayan; Eriksson, Anna; Yang, Wenxing; Zhang, Jinbao; Polanski, Enrico; Nonomura, Kazuteru; Zakeeruddin, Shaik Mohammed; Grätzel, Michael; Hagfeldt, Anders; Boschloo, Gerrit
2016-12-07
Blue and green dyes as well as NIR-absorbing dyes have attracted great interest because of their excellent ability of absorbing the incident photons in the red and near-infrared range region. A novel blue D-π-A dye (Dyenamo Blue), based on the diketopyrrolopyrrole (DPP)-core, has been designed and synthesized. Assembled with the cobalt bipyridine-based electrolytes, the device with Dyenamo Blue achieved a satisfying efficiency of 7.3% under one sun (AM1.5 G). The co-sensitization strategy was further applied on this blue organic dye together with a red D-π-A dye (D35). The successful co-sensitization outperformed a panchromatic light absorption and improved the photocurrent density; this in addition to the open-circuit potential result in an efficiency of 8.7%. The extended absorption of the sensitization and the slower recombination reaction between the blue dye and TiO 2 surface inhibited by the additional red sensitizer could be the two main reasons for the higher performance. In conclusion, from the results, the highly efficient cobalt-based DSSCs could be achieved with the co-sensitization between red and blue D-π-A organic dyes with a proper design, which showed us the possibility of applying this strategy for future high-performance solar cells.
Casado-Terrones, Silvia; Fernández-Sánchez, Jorge F; Segura-Carretero, Antonio; Fernández-Gutiérrez, Alberto
2007-06-01
The performance of two homemade fluorescence-induced capillary electrophoresis detectors, one based on light-emitting diode (LED) as the excitation source and a charge-coupled device (CCD) photodetector and the other based on a commercial luminescence spectrometer (Xe lamp) as the excitation source and a photomultiplier tube as a detector, were compared for the determination of fluorescent proteins R-phycoerythrin and B-phycoerythrin. Both devices use commercially available, reasonably priced optical components that can be used by nonexperts. After fine optimization of several optical and separation parameters in both devices, a zone capillary electrophoresis methodology was achieved with 50mM borate buffer (pH 8.4) and 10mM phytic acid for the determination of two phycobiliproteins. Detection limits of 0.50 and 0.64microg/ml for R-phycoerythrin and B-phycoerythrin, respectively, were achieved by using the LED-induced fluorescence capillary electrophoresis (LED-IF-CE) system, and corresponding detection limits of 2.73 and 2.16microg/ml were achieved by using the Xe lamp-IF-CE system. Analytical performance and other parameters, such as cost and potential to miniaturization, are compared for both devices.
NASA Astrophysics Data System (ADS)
Wu, Ying-Tien
2013-10-01
This study aims to provide insights into the role of learners' knowledge structures about a socio-scientific issue (SSI) in their informal reasoning on the issue. A total of 42 non-science major university students' knowledge structures and informal reasoning were assessed with multidimensional analyses. With both qualitative and quantitative analyses, this study revealed that those students with more extended and better-organized knowledge structures, as well as those who more frequently used higher-order information processing modes, were more oriented towards achieving a higher-level informal reasoning quality. The regression analyses further showed that the "richness" of the students' knowledge structures explained 25 % of the variation in their rebuttal construction, an important indicator of reasoning quality, indicating the significance of the role of students' sophisticated knowledge structure in SSI reasoning. Besides, this study also provides some initial evidence for the significant role of the "core" concept within one's knowledge structure in one's SSI reasoning. The findings in this study suggest that, in SSI-based instruction, science instructors should try to identify students' core concepts within their prior knowledge regarding the SSI, and then they should try to guide students to construct and structure relevant concepts or ideas regarding the SSI based on their core concepts. Thus, students could obtain extended and well-organized knowledge structures, which would then help them achieve better learning transfer in dealing with SSIs.
The Causal Structure of Utility Conditionals
ERIC Educational Resources Information Center
Bonnefon, Jean-Francois; Sloman, Steven A.
2013-01-01
The psychology of reasoning is increasingly considering agents' values and preferences, achieving greater integration with judgment and decision making, social cognition, and moral reasoning. Some of this research investigates utility conditionals, ‘"if 'p' then 'q'’" statements where the realization of "p" or "q" or…
Assisting Pupils in Mathematics Achievement (The Common Core Standards)
ERIC Educational Resources Information Center
Ediger, Marlow
2011-01-01
Mathematics teachers must expect reasonably high standards of achievement from pupils. Too frequently, pupils attain at a substandard level and more optimal achievement is necessary. Thus, pupils should have self esteem needs met in the school and classroom setting. Thus, learners feel that mathematics is worthwhile and effort must be put forth to…
Perspectives of High-Achieving Women on Teaching
ERIC Educational Resources Information Center
Snodgrass, Helen
2010-01-01
High-achieving women are significantly less likely to enter the teaching profession than they were just 40 years ago. Why? While the social and economic reasons for this decline have been well documented in the literature, what is lacking is a discussion with high-achieving women, as they make their first career decisions, about their perceptions…
Positive Feelings towards the Learning of Mathematics for Low Achievers
ERIC Educational Resources Information Center
Tong, Cherng Luen; Leong, Yew Hoong; Quek, Khiok Seng
2013-01-01
A common area of difficulty and frustration for low achieving students is the operations involving negative numbers. The main objective of our innovations in this area with two classes of Year 7 low achieving students was to develop positive feelings towards mathematics, in particular of an appreciation for the "reasonableness" and clear…
The Influence of Achievement before, during and after Medical School on Physician Job Satisfaction
ERIC Educational Resources Information Center
Schmit Jongbloed, Lodewijk J.; Schönrock-Adema, Johanna; Borleffs, Jan C. C.; Stewart, Roy E.; Cohen-Schotanus, Janke
2014-01-01
In this longitudinal study, we investigated the relationship between physicians' prior achievements (before, during and after medical school) and job satisfaction, and tested the two lines of reasoning that prior achievements influence job satisfaction positively or negatively, respectively. The participants were graduates who started their…
Predictors of College Student Achievement in Undergraduate Asynchronous Web-Based Courses
ERIC Educational Resources Information Center
Bell, Paul D.
2007-01-01
This study examined the effects of self-regulated learning (SRL) and epistemological beliefs (EB) on individual learner levels of academic achievement in Web-based learning environments while holding constant the effect of computer self-efficacy, reason for taking an online course, prior college academic achievement, and parental level of…
Confronting the Achievement Gap
ERIC Educational Resources Information Center
Gardner, David
2007-01-01
This article talks about the large achievement gap between children of color and their white peers. The reasons for the achievement gap are varied. First, many urban minorities come from a background of poverty. One of the detrimental effects of growing up in poverty is receiving inadequate nourishment at a time when bodies and brains are rapidly…
ERIC Educational Resources Information Center
Lewis, Gary J.; Asbury, Kathryn; Plomin, Robert
2017-01-01
Background: Childhood behavior problems predict subsequent educational achievement; however, little research has examined the etiology of these links using a longitudinal twin design. Moreover, it is unknown whether genetic and environmental innovations provide incremental prediction for educational achievement from childhood to adolescence.…
Integrating the Demonstration Orientation and Standards-Based Models of Achievement Goal Theory
ERIC Educational Resources Information Center
Wynne, Heather Marie
2014-01-01
Achievement goal theory and thus, the empirical measures stemming from the research, are currently divided on two conceptual approaches, namely the reason versus aims-based models of achievement goals. The factor structure and predictive utility of goal constructs from the Patterns of Adaptive Learning Strategies (PALS) and the latest two versions…
How to achieve long-term breast-feeding: factors associated with early discontinuation.
Camurdan, Aysu Duyan; Ilhan, Mustafa N; Beyazova, Ufuk; Sahin, Figen; Vatandas, Nilgun; Eminoglu, Sancar
2008-11-01
To evaluate the factors associated with discontinuation of breast-feeding before 12 months in order to make suggestions for achieving long-term breast-feeding. A descriptive cross-sectional study. Gazi University Medical School, Ankara, Turkey. Mothers of 1230 children who discontinued breast-feeding at least 15 d before the last visit were asked to fill out a questionnaire about the discontinuation process. Logistic regression analysis was performed to assess the independent effects of factors that might influence breast-feeding discontinuation. Mean breast-feeding duration of the study group was 11.04 (SD 7.45) months. Introduction of bottle-feeding correlated with discontinuation of breast-feeding (r=0.507, P = 0.001). Important risk factors for discontinuation of breast-feeding before the first 12 months were not exclusively breast-feeding at 3 and 6 months, prematurity, not having a plan about breast-feeding duration and maternity leave duration of
Fast cat-eye effect target recognition based on saliency extraction
NASA Astrophysics Data System (ADS)
Li, Li; Ren, Jianlin; Wang, Xingbin
2015-09-01
Background complexity is a main reason that results in false detection in cat-eye target recognition. Human vision has selective attention property which can help search the salient target from complex unknown scenes quickly and precisely. In the paper, we propose a novel cat-eye effect target recognition method named Multi-channel Saliency Processing before Fusion (MSPF). This method combines traditional cat-eye target recognition with the selective characters of visual attention. Furthermore, parallel processing enables it to achieve fast recognition. Experimental results show that the proposed method performs better in accuracy, robustness and speed compared to other methods.
Wang, Wei-Hsung; McGlothlin, James D; Smith, Deborah J; Matthews, Kenneth L
2006-02-01
This project incorporates radiation survey training into a real-time video radiation detection system, thus providing a practical perspective for the radiation worker on efficient performance of radiation surveys. Regular surveys to evaluate radiation levels are necessary not only to recognize potential radiological hazards but also to keep the radiation exposure as low as reasonably achievable. By developing and implementing an instructional learning system using a real-time radiation survey training video showing specific categorization of work elements, radiation workers trained with this system demonstrated better radiation survey practice.
Electromedical devices test laboratories accreditation
NASA Astrophysics Data System (ADS)
Murad, C.; Rubio, D.; Ponce, S.; Álvarez Abri, A.; Terrón, A.; Vicencio, D.; Fascioli, E.
2007-11-01
In the last years, the technology and equipment at hospitals have been increase in a great way as the risks of their implementation. Safety in medical equipment must be considered an important issue to protect patients and their users. For this reason, test and calibrations laboratories must verify the correct performance of this kind of devices under national and international standards. Is an essential mission for laboratories to develop their measurement activities taking into account a quality management system. In this article, we intend to transmit our experience working to achieve an accredited Test Laboratories for medical devices in National technological University.
Multifunctional 2D- Materials: Selenides and Halides
NASA Technical Reports Server (NTRS)
Singh, N. B.; Su, Ching Hua; Arnold, Brad; Choa, Fow-Sen; Bohorfous, Sara
2016-01-01
Material is the key component and controls the performance of the detectors, devices and sensors. The materials design, processing, growth and fabrication of bulk and nanocrystals and fabrication into devices and sensors involve multidisciplinary team of experts. This places a large burden on the cost of the novel materials development. Due to this reason there is a big thrust for the prediction of multifunctionality of materials before design and development. Up to some extent design can achieve certain properties. In multinary materials processing is also a big factor. In this presentation, examples of two classes of industrially important materials will be described.
A framework for evaluating and utilizing medical terminology mappings.
Hussain, Sajjad; Sun, Hong; Sinaci, Anil; Erturkmen, Gokce Banu Laleci; Mead, Charles; Gray, Alasdair J G; McGuinness, Deborah L; Prud'Hommeaux, Eric; Daniel, Christel; Forsberg, Kerstin
2014-01-01
Use of medical terminologies and mappings across them are considered to be crucial pre-requisites for achieving interoperable eHealth applications. Built upon the outcomes of several research projects, we introduce a framework for evaluating and utilizing terminology mappings that offers a platform for i) performing various mappings strategies, ii) representing terminology mappings together with their provenance information, and iii) enabling terminology reasoning for inferring both new and erroneous mappings. We present the results of the introduced framework from SALUS project where we evaluated the quality of both existing and inferred terminology mappings among standard terminologies.
Standard Transistor Array (STAR). Volume 1: Placement technique
NASA Technical Reports Server (NTRS)
Cox, G. W.; Caroll, B. D.
1979-01-01
A large scale integration (LSI) technology, the standard transistor array uses a prefabricated understructure of transistors and a comprehensive library of digital logic cells to allow efficient fabrication of semicustom digital LSI circuits. The cell placement technique for this technology involves formation of a one dimensional cell layout and "folding" of the one dimensional placement onto the chip. It was found that, by use of various folding methods, high quality chip layouts can be achieved. Methods developed to measure of the "goodness" of the generated placements include efficient means for estimating channel usage requirements and for via counting. The placement and rating techniques were incorporated into a placement program (CAPSTAR). By means of repetitive use of the folding methods and simple placement improvement strategies, this program provides near optimum placements in a reasonable amount of time. The program was tested on several typical LSI circuits to provide performance comparisons both with respect to input parameters and with respect to the performance of other placement techniques. The results of this testing indicate that near optimum placements can be achieved by use of the procedures incurring severe time penalties.
NASA Technical Reports Server (NTRS)
Purohit, G. P.; Leising, C. J.
1984-01-01
The power train performance of load leveled electric vehicles can be compared with that of nonload leveled systems by use of a simple mathematical model. This method of measurement involves a number of parameters including the degree of load leveling and regeneration, the flywheel mechanical to electrical energy fraction, and efficiencies of the motor, generator, flywheel, and transmission. Basic efficiency terms are defined and representative comparisons of a variety of systems are presented. Results of the study indicate that mechanical transfer of energy into and out of the flywheel is more advantageous than electrical transfer. An optimum degree of load leveling may be achieved in terms of the driving cycle, battery characteristics, mode of mechanization, and the efficiency of the components. For state of the art mechanically coupled flyheel systems, load leveling losses can be held to a reasonable 10%; electrically coupled systems can have losses that are up to six times larger. Propulsion system efficiencies for mechanically coupled flywheel systems are predicted to be approximately the 60% achieved on conventional nonload leveled systems.
The food and weight combat. A problematic fight for the elite combat sports athlete.
Pettersson, Stefan; Pipping Ekström, Marianne; Berg, Christina M
2012-10-01
Weight reduction in athletes is motivated by optimisation of performance, aesthetic reasons or to achieve a pre-designated weight. Previous research has shown that dietary restraint and short term weight regulation frequently takes place among combat sports athletes such as wrestlers and judokas. The aim of this study was to explore negative experiences related to dietary strategies and weight-making practises used by elite combat sports athletes. Using semi-structured interviews, 14 Swedish national team athletes in wrestling, judo and taekwondo were asked about their dietary intake and their engagement in both long- and short-term weight regulation practises. Content analysis of the transcribed interviews, display a constant struggle regarding nutritional standpoints. Sport demands such as achieving an optimal weight and nutritional intake were considered as central in order for excellent performance. Adhering to these demands was found to be problematic however, primarily because of; (1) negative physiological responses and (2) opposing ideals of a non-sport related nature, such as the importance of the athletes to be healthy and social in their everyday lives. Copyright © 2012 Elsevier Ltd. All rights reserved.
NASA Astrophysics Data System (ADS)
de Astudillo, Luisa Rojas; Niaz, Mansoor
1996-06-01
Achievement in science depends on a series of factors that characterize the cognitive abilities of the students and the complex interactions between these factors and the environment that intervenes in the formation of students' background. The objective of this study is to: a) investigate reasoning strategies students use in solving stoichiometric problems; b) explore the relation between these strategies and alternative conceptions, prior knowledge and cognitive variables; and c) interpret the results within an epistemological framework. Results obtained show how stoichiometric relations produce conflicting situations for students, leading to conceptual misunderstanding of concepts, such as mass, atoms and moles. The wide variety of strategies used by students attest to the presence of competing and conflicting frameworks (progressive transitions, cf. Lakatos, 1970), leading to greater conceptual understanding. It is concluded that the methodology developed in this study (based on a series of closely related probing questions, generally requiring no calculations, that elicit student conceptual understanding to varying degrees within an intact classroom context) was influential in improving student performance. This improvement in performance, however, does not necessarily affect students' hard core of beliefs.
Modelling Continuing Load at Disaggregated Levels
ERIC Educational Resources Information Center
Seidel, Ewa
2014-01-01
The current methodology of estimating load in the following year at Flinders University has achieved reasonable accuracy in the previous capped funding environment, particularly at the university level, due largely to our university having stable intakes and student profiles. While historically within reasonable limits, variation in estimates at…
Effects of Scaffolds and Scientific Reasoning Ability on Web-Based Scientific Inquiry
ERIC Educational Resources Information Center
Wu, Hui-Ling; Weng, Hsiao-Lan; She, Hsiao-Ching
2016-01-01
This study examined how background knowledge, scientific reasoning ability, and various scaffolding forms influenced students' science knowledge and scientific inquiry achievements. The students participated in an online scientific inquiry program involving such activities as generating scientific questions and drawing evidence-based conclusions,…
ERIC Educational Resources Information Center
Fulton, Kathleen P.
2012-01-01
A small school in southern Minnesota, strapped for funds and needing new math books and a fresh curriculum, flipped its classrooms and raised achievement and student engagement. The math teachers led and implemented the changes. Upon reflection, they found 10 good reasons educators should consider flipping their classroom. Among the most…
11 Reasons for Negotiating Power.
ERIC Educational Resources Information Center
Here's How, 1990
1990-01-01
The book, "Managing by Negotiations," by Earl Brooks and George S. Odiorne, is reviewed in this document. Negotiation is discussed as an answer to the dilemma of achieving organizational effectiveness created by the recent shift in educational administration from autocratic to democratic management. Eleven reasons why traditional power-based…
Gender Differences in Cognitive and Noncognitive Factors Related to Achievement in Organic Chemistry
NASA Astrophysics Data System (ADS)
Turner, Ronna C.; Lindsay, Harriet A.
2003-05-01
For many college students in the sciences, organic chemistry poses a difficult challenge. Indeed, success in organic chemistry has proven pivotal in the careers of a vast number of students in a variety of science disciplines. A better understanding of the factors that contribute to achievement in this course should contribute to efforts to increase the number of students in the science disciplines. Further, an awareness of gender differences in factors associated with achievement should aid efforts to bolster the participation of women in chemistry and related disciplines. Using a correlation research design, the individual relationships between organic chemistry achievement and each of several cognitive variables and noncognitive variables were assessed. In addition, the relationships between organic chemistry achievement and combinations of these independent variables were explored. Finally, gender- and instructor-related differences in the relationships between organic chemistry achievement and the independent variables were investigated. Cognitive variables included the second-semester general chemistry grade, the ACT English, math, reading, and science-reasoning scores, and scores from a spatial visualization test. Noncognitive variables included anxiety, confidence, effectance motivation, and usefulness. The second-semester general chemistry grade was found to be the best indicator of performance in organic chemistry, while the effectiveness of other predictors varied between instructors. In addition, gender differences were found in the explanations of organic chemistry achievement variance provided by this study. In general, males exhibited stronger correlations between predictor variables and organic chemistry achievement than females.
Croiset, Gerda; Schripsema, Nienke R.; Cohen-Schotanus, Janke; Spaai, Gerard W.G.; Hulsman, Robert L.; Kusurkar, Rashmi A.
2017-01-01
Objectives The aim was to examine main reasons for students’ medical school choice and their relationship with students’ characteristics and motivation during the students’ medical study. Methods In this multisite cross-sectional study, all Year-1 and Year-4 students who had participated in a selection procedure in one of the three Dutch medical schools included in the study were invited to complete an online survey comprising personal data, their main reason for medical school choice and standard, validated questionnaires to measure their strength of motivation (Strength of Motivation for Medical School-Revised) and autonomous and controlled type of motivation (Academic Self-regulation Questionnaire). Four hundred seventy-eight students participated. We performed frequency analyses on the reasons for medical school choice and regression analyses and ANCOVAs to study their associations with students’ characteristics and motivation during their medical study. Results Students indicated ‘city’ (Year-1: 24.7%, n=75 and Year-4: 36.0%, n=52) and ‘selection procedure’ (Year-1: 56.9%, n=173 and Year-4: 46.9%, n=68) as the main reasons for their medical school choice. The main reasons were associated with gender, age, being a first-generation university student, ethnic background and medical school, and no significant associations were found between the main reasons and the strength and type of motivation during the students’ medical study. Conclusions Most students had based their medical school choice on the selection procedure. If medical schools desire to achieve a good student-curriculum fit and attract a diverse student population aligning the selection procedure with the curriculum and taking into account various students’ different approaches is important. PMID:28624778
Professional training in the workplace: the role of achievement motivation and locus of control.
Suárez-Álvarez, Javier; Campillo-Álvarez, Angela; Fonseca-Pedrero, Eduardo; García-Cueto, Eduardo; Muñiz, José
2013-01-01
The core objective of the present work is to explore the reasons why workers from different employment sectors join training courses to improve their job. To this end we assessed achievement motivation, locus of control and professional qualifications according to the participants' employment sector. The final sample consisted of 1460 active Spanish workers from four different employment sectors: services, catering, metal construction, and others. Of the sample, 40.1% were male and 59.9% female, with a mean age of 33.3 years (SD = 9.7). The results show that the new scale developed to assess achievement motivation, locus of control and workers' qualifications presents adequate psychometric characteristics. Statistically significant differences were found in relation to employment sector. The areas studied showed satisfactory levels of workers' effort and achievement motivation to perform their jobs, though their attitudes toward the training courses as a basis for improving their employability are varied. Workers in the catering sector had higher levels of external attribution and the lowest interest in training. Those in the service sector had higher levels of achievement motivation and effort at work. Future research should develop a joint program covering the public and private sectors for the modification of these beliefs, attitudes and attributions.
Performance Evaluation of Communication Software Systems for Distributed Computing
NASA Technical Reports Server (NTRS)
Fatoohi, Rod
1996-01-01
In recent years there has been an increasing interest in object-oriented distributed computing since it is better quipped to deal with complex systems while providing extensibility, maintainability, and reusability. At the same time, several new high-speed network technologies have emerged for local and wide area networks. However, the performance of networking software is not improving as fast as the networking hardware and the workstation microprocessors. This paper gives an overview and evaluates the performance of the Common Object Request Broker Architecture (CORBA) standard in a distributed computing environment at NASA Ames Research Center. The environment consists of two testbeds of SGI workstations connected by four networks: Ethernet, FDDI, HiPPI, and ATM. The performance results for three communication software systems are presented, analyzed and compared. These systems are: BSD socket programming interface, IONA's Orbix, an implementation of the CORBA specification, and the PVM message passing library. The results show that high-level communication interfaces, such as CORBA and PVM, can achieve reasonable performance under certain conditions.
Performance modeling of terahertz (THz) and millimeter waves (mmW) pupil plane imaging
NASA Astrophysics Data System (ADS)
Mohammadian, Nafiseh; Furxhi, Orges; Zhang, Lei; Offermans, Peter; Ghazi, Galia; Driggers, Ronald
2018-05-01
Terahertz- (THz) and millimeter-wave sensors are becoming more important in industrial, security, medical, and defense applications. A major problem in these sensing areas is the resolution, sensitivity, and visual acuity of the imaging systems. There are different fundamental parameters in designing a system that have significant effects on the imaging performance. The performance of THz systems can be discussed in terms of two characteristics: sensitivity and spatial resolution. New approaches for design and manufacturing of THz imagers are a vital basis for developing future applications. Photonics solutions have been at the technological forefront in THz band applications. A single scan antenna does not provide reasonable resolution, sensitivity, and speed. An effective approach to imaging is placing a high-performance antenna in a two-dimensional antenna array to achieve higher radiation efficiency and higher resolution in the imaging systems. Here, we present the performance modeling of a pupil plane imaging system to find the resolution and sensitivity efficiency of the imaging system.
NASA Astrophysics Data System (ADS)
Hossen, Md Mosaddek; Artyushkova, Kateryna; Atanassov, Plamen; Serov, Alexey
2018-01-01
In this article, three different Fe-N-C oxygen reduction reaction (ORR) catalysts derived from different organic molecules i.e. Fe-NMG, Fe-NMP, Fe-MBZ have been synthesized, characterized by physical-chemical methods and studied in the reaction of oxygen reduction (ORR). It is found that Fe-NMG shows higher ORR performance than Fe-NMP and Fe-MBZ, by both rotating ring disk electrode (RRDE) and fuel cell tests. From characterization and surface analysis, it can be explained that the presence of higher amount of surface oxides and pyridinic nitrogen is the main reason for better performance towards ORR in alkaline media. To achieve the highest performance in alkaline exchange membrane fuel cell (AEMFC), the optimization of catalyst layer composition using various concentrations of ionomer (Tokuyama, AS4) was performed. At the optimum cathode layer configuration utilizing Fe-NMG produces the peak power density of 218 mWcm-2, which is one of the highest values presented in the open literature.
2010-09-01
achieved; the causal reasoning involved in understanding diseases such as AIDS, yellow fever, and cholera , and the causal reasoning in understanding a...and malaria, we could start to implement prevention strategies. Once we determined that contaminated water led to cholera , we could impose...sanitation measures to prevent further outbreaks . However, when dealing with indeterminate, multi-causal situations, the picture is not so easy. We may
Behavioral, Psychological, and Demographic Predictors of Physical Fitness.
ERIC Educational Resources Information Center
Conway, Terry L.
Achieving higher levels of physical fitness has become a goal of many Americans both for personal reasons (e.g., improved health, appearance, and perceived well-being) and for organizational reasons (e.g., corporate cost-savings with healthy employees, operational readiness for the military services). Understanding the factors which have an impact…
Integrating Relational Reasoning and Knowledge Revision during Reading
ERIC Educational Resources Information Center
Kendeou, Panayiota; Butterfuss, Reese; Van Boekel, Martin; O'Brien, Edward J.
2017-01-01
Our goal in this theoretical contribution is to connect research on knowledge revision and relational reasoning. To achieve this goal, first, we review the "knowledge revision components framework" (KReC) that provides an account of knowledge revision processes, specifically as they unfold during reading of texts. Second, we review a…
Addressing Barriers to Conceptual Understanding in IE Physics Classes
NASA Astrophysics Data System (ADS)
Coletta, Vincent P.; Phillips, Jeffrey A.
2009-11-01
We report on the Thinking in Physics project, which helps students who demonstrate weak scientific reasoning skills, as measured by low preinstruction scores on the Lawson Test of Scientific Reasoning Ability. Without special help, such students are unlikely to achieve a good conceptual understanding of introductory mechanics.
The Role of PS Ability and RC Skill in Predicting Growth Trajectories of Mathematics Achievement
ERIC Educational Resources Information Center
Vista, Alvin
2016-01-01
There are relatively few studies in Australia and South-East Asian region that combine investigating models of math growth trajectories with predictors such as reasoning ability and reading comprehension skills. Math achievement is one of the major components of overall academic achievement and it is important to determine what factors (especially…
Shi, Longxiang; Li, Shijian; Yang, Xiaoran; Qi, Jiaheng; Pan, Gang; Zhou, Binbin
2017-01-01
With the explosion of healthcare information, there has been a tremendous amount of heterogeneous textual medical knowledge (TMK), which plays an essential role in healthcare information systems. Existing works for integrating and utilizing the TMK mainly focus on straightforward connections establishment and pay less attention to make computers interpret and retrieve knowledge correctly and quickly. In this paper, we explore a novel model to organize and integrate the TMK into conceptual graphs. We then employ a framework to automatically retrieve knowledge in knowledge graphs with a high precision. In order to perform reasonable inference on knowledge graphs, we propose a contextual inference pruning algorithm to achieve efficient chain inference. Our algorithm achieves a better inference result with precision and recall of 92% and 96%, respectively, which can avoid most of the meaningless inferences. In addition, we implement two prototypes and provide services, and the results show our approach is practical and effective.
Yang, Xiaoran; Qi, Jiaheng; Pan, Gang; Zhou, Binbin
2017-01-01
With the explosion of healthcare information, there has been a tremendous amount of heterogeneous textual medical knowledge (TMK), which plays an essential role in healthcare information systems. Existing works for integrating and utilizing the TMK mainly focus on straightforward connections establishment and pay less attention to make computers interpret and retrieve knowledge correctly and quickly. In this paper, we explore a novel model to organize and integrate the TMK into conceptual graphs. We then employ a framework to automatically retrieve knowledge in knowledge graphs with a high precision. In order to perform reasonable inference on knowledge graphs, we propose a contextual inference pruning algorithm to achieve efficient chain inference. Our algorithm achieves a better inference result with precision and recall of 92% and 96%, respectively, which can avoid most of the meaningless inferences. In addition, we implement two prototypes and provide services, and the results show our approach is practical and effective. PMID:28299322
[Optimization of radiological scoliosis assessment].
Enríquez, Goya; Piqueras, Joaquim; Catalá, Ana; Oliva, Glòria; Ruiz, Agustí; Ribas, Montserrat; Duran, Carmina; Rodrigo, Carlos; Rodríguez, Eugenia; Garriga, Victoria; Maristany, Teresa; García-Fontecha, César; Baños, Joan; Muchart, Jordi; Alava, Fernando
2014-07-01
Most scoliosis are idiopathic (80%) and occur more frequently in adolescent girls. Plain radiography is the imaging method of choice, both for the initial study and follow-up studies but has the disadvantage of using ionizing radiation. The breasts are exposed to x-ray along these repeated examinations. The authors present a range of recommendations in order to optimize radiographic exam technique for both conventional and digital x-ray settings to prevent unnecessary patients' radiation exposure and to reduce the risk of breast cancer in patients with scoliosis. With analogue systems, leaded breast protectors should always be used, and with any radiographic equipment, analog or digital radiography, the examination should be performed in postero-anterior projection and optimized low-dose techniques. The ALARA (as low as reasonable achievable) rule should always be followed to achieve diagnostic quality images with the lowest feasible dose. Copyright © 2014. Published by Elsevier Espana.
Andrade Neto, A S; Secchi, A R; Souza, M B; Barreto, A G
2016-10-28
An adaptive nonlinear model predictive control of a simulated moving bed unit for the enantioseparation of praziquantel is presented. A first principle model was applied at the proposed purity control scheme. The main concern about this kind of model in a control framework is in regard to the computational effort to solve it; however, a fast enough solution was achieved. In order to evaluate the controller's performance, several cases were simulated, including external pumps and switching valve malfunctions. The problem of plant-model mismatch was also investigated, and for that reason a parameter estimation step was introduced in the control strategy. In every studied scenario, the controller was able to maintain the purity levels at their set points, which were set to 99% and 98.6% for extract and raffinate, respectively. Additionally, fast responses and smooth actuation were achieved. Copyright © 2016 Elsevier B.V. All rights reserved.
GBU-X bounding requirements for highly flexible munitions
NASA Astrophysics Data System (ADS)
Bagby, Patrick T.; Shaver, Jonathan; White, Reed; Cafarelli, Sergio; Hébert, Anthony J.
2017-04-01
This paper will present the results of an investigation into requirements for existing software and hardware solutions for open digital communication architectures that support weapon subsystem integration. The underlying requirements of such a communication architecture would be to achieve the lowest latency possible at a reasonable cost point with respect to the mission objective of the weapon. The determination of the latency requirements of the open architecture software and hardware were derived through the use of control system and stability margins analyses. Studies were performed on the throughput and latency of different existing communication transport methods. The two architectures that were tested in this study include Data Distribution Service (DDS) and Modular Open Network Architecture (MONARCH). This paper defines what levels of latency can be achieved with current technology and how this capability may translate to future weapons. The requirements moving forward within communications solutions are discussed.
The role of family therapy in the management of schizophrenia: challenges and solutions
Caqueo-Urízar, Alejandra; Rus-Calafell, Mar; Urzúa, Alfonso; Escudero, Jorge; Gutiérrez-Maldonado, José
2015-01-01
Family interventions for schizophrenia have been amply demonstrated to be effective and are recommended by most of the international clinical guidelines. However, their implementation in the clinical setting as well as in treatment protocols of patients with psychosis has not been fully achieved yet. With the increasing deinstitutionalization of patients, family has begun to assume the role of care performed by psychiatric hospitals, with a high emotional cost for caregivers as well as the recognition of burden experiences. Families have been the substitute in the face of the scarcity of therapeutic, occupational, and residential resources. For this reason, the viability of patients’ care by their families has become a challenge. This article aims to discuss the most important aspects of family interventions, their impact on families, and the most important challenges that need to be overcome in order to achieve well-being and recovery in both patients and caregivers. PMID:25609970
Experimental study and simulation of 63Zn production via proton induce reaction.
Rostampour, Malihe; Sadeghi, Mahdi; Aboudzadeh, Mohammadreza; Hamidi, Saeid; Soltani, Naser; Novin, Fatemeh Bolouri; Rahiminejad, Ali; Rajabifar, Saeid
2018-06-01
The 63 Zn was produced by16.8 MeV proton irradiation of natural copper. Thick target yield for 63 Zn in the energy range of 16.8 →12.2 MeV was 2.47 ± 0.12 GBq/μA.h. Reasonable agreement between achieved experimental data and theoretical value of thick target yield for 63 Zn was observed. A simple separation procedure of 63 Zn from copper target was developed using cation exchange chromatography. About 88 ± 5% of the loaded activity was recovered. The performance of FLUKA to reproduce experimental data of thick target yield of 63 Zn is validated. The achieved results from this code were compared with the corresponding experimental data. This comparison demonstrated that FLUKA provides a suitable tool for the simulation of radionuclide production using proton irradiation. Copyright © 2018 Elsevier Ltd. All rights reserved.
Achieving Internet-based efficiencies in a rural IDS: a case study.
Bacus, R; Zunke, R
2001-09-01
After suffering payment cuts resulting from the Balanced Budget Act of 1997, Colorado-Fayette Medical Center (CFMC), a not-for-profit, rural integrated delivery system in Texas, wanted to reduce costs by gaining systemwide Internet access for its internal information system at a reasonable price. An application service provider affiliated with the Texas Hospital Association, helped CFMC achieve its goals for the project by performing a needs assessment, installing a wide-area network (WAN) with Internet access, and training staff. The new WAN enabled CFMC to improve its Web presence, allow radiologic image viewing at all sites, negotiate more favorable prices from vendors, implement electronic communication for staff members, and take advantage of on-line education opportunities. CFMC has found that the monthly fee paid to THN is offset by savings on long-distance calls, Internet service provider fees, and marketing and advertising costs.
Self-discipline outdoes IQ in predicting academic performance of adolescents.
Duckworth, Angela L; Seligman, Martin E P
2005-12-01
In a longitudinal study of 140 eighth-grade students, self-discipline measured by self-report, parent report, teacher report, and monetary choice questionnaires in the fall predicted final grades, school attendance, standardized achievement-test scores, and selection into a competitive high school program the following spring. In a replication with 164 eighth graders, a behavioral delay-of-gratification task, a questionnaire on study habits, and a group-administered IQ test were added. Self-discipline measured in the fall accounted for more than twice as much variance as IQ in final grades, high school selection, school attendance, hours spent doing homework, hours spent watching television (inversely), and the time of day students began their homework. The effect of self-discipline on final grades held even when controlling for first-marking-period grades, achievement-test scores, and measured IQ. These findings suggest a major reason for students falling short of their intellectual potential: their failure to exercise self-discipline.
Video-based depression detection using local Curvelet binary patterns in pairwise orthogonal planes.
Pampouchidou, Anastasia; Marias, Kostas; Tsiknakis, Manolis; Simos, Panagiotis; Fan Yang; Lemaitre, Guillaume; Meriaudeau, Fabrice
2016-08-01
Depression is an increasingly prevalent mood disorder. This is the reason why the field of computer-based depression assessment has been gaining the attention of the research community during the past couple of years. The present work proposes two algorithms for depression detection, one Frame-based and the second Video-based, both employing Curvelet transform and Local Binary Patterns. The main advantage of these methods is that they have significantly lower computational requirements, as the extracted features are of very low dimensionality. This is achieved by modifying the previously proposed algorithm which considers Three-Orthogonal-Planes, to only Pairwise-Orthogonal-Planes. Performance of the algorithms was tested on the benchmark dataset provided by the Audio/Visual Emotion Challenge 2014, with the person-specific system achieving 97.6% classification accuracy, and the person-independed one yielding promising preliminary results of 74.5% accuracy. The paper concludes with open issues, proposed solutions, and future plans.
NASA Astrophysics Data System (ADS)
Qu, Baihua; Chen, Yuejiao; Zhang, Ming; Hu, Lingling; Lei, Danni; Lu, Bingan; Li, Qiuhong; Wang, Yanguo; Chen, Libao; Wang, Taihong
2012-11-01
Electrochemical supercapacitors have drawn much attention because of their high power and reasonably high energy densities. However, their performances still do not reach the demand of energy storage. In this paper β-cobalt sulfide nanoparticles were homogeneously distributed on a highly conductive graphene (CS-G) nanocomposite, which was confirmed by transmission electron microscopy analysis, and exhibit excellent electrochemical performances including extremely high values of specific capacitance (~1535 F g-1) at a current density of 2 A g-1, high-power density (11.98 kW kg-1) at a discharge current density of 40 A g-1 and excellent cyclic stability. The excellent electrochemical performances could be attributed to the graphene nanosheets (GNSs) which could maintain the mechanical integrity. Also the CS-G nanocomposite electrodes have high electrical conductivity. These results indicate that high electronic conductivity of graphene nanocomposite materials is crucial to achieving high power and energy density for supercapacitors.
Study groups: are they effective in preparing students for NCLEX-RN?
Ashley, J; O'Neil, J
1994-10-01
The effectiveness of faculty-directed study groups as an intervention to prepare nurse candidates for NCLEX-RN was evaluated. The NCLEX-RN performance of a baccalaureate class who had participated in study groups was compared to the performance of a prior class who had not participated in study groups. Academic subgroups within the classes were compared to determine if study groups were equally effective across levels of academic achievement. The possible reasons for the significant difference in the NCLEX-RN passing rate between "at-risk" students who participated in study groups and at-risk students who did not participate in study groups are discussed. Discussion also considers possible factors influencing the generally better performance of study group participants at all academic levels. Suggestions for future intervention research direct attention to time intensity of interventions and research control through random assignments to treatment groups.
Qu, Baihua; Chen, Yuejiao; Zhang, Ming; Hu, Lingling; Lei, Danni; Lu, Bingan; Li, Qiuhong; Wang, Yanguo; Chen, Libao; Wang, Taihong
2012-12-21
Electrochemical supercapacitors have drawn much attention because of their high power and reasonably high energy densities. However, their performances still do not reach the demand of energy storage. In this paper β-cobalt sulfide nanoparticles were homogeneously distributed on a highly conductive graphene (CS-G) nanocomposite, which was confirmed by transmission electron microscopy analysis, and exhibit excellent electrochemical performances including extremely high values of specific capacitance (~1535 F g(-1)) at a current density of 2 A g(-1), high-power density (11.98 kW kg(-1)) at a discharge current density of 40 A g(-1) and excellent cyclic stability. The excellent electrochemical performances could be attributed to the graphene nanosheets (GNSs) which could maintain the mechanical integrity. Also the CS-G nanocomposite electrodes have high electrical conductivity. These results indicate that high electronic conductivity of graphene nanocomposite materials is crucial to achieving high power and energy density for supercapacitors.
Performance prediction of a synchronization link for distributed aerospace wireless systems.
Wang, Wen-Qin; Shao, Huaizong
2013-01-01
For reasons of stealth and other operational advantages, distributed aerospace wireless systems have received much attention in recent years. In a distributed aerospace wireless system, since the transmitter and receiver placed on separated platforms which use independent master oscillators, there is no cancellation of low-frequency phase noise as in the monostatic cases. Thus, high accurate time and frequency synchronization techniques are required for distributed wireless systems. The use of a dedicated synchronization link to quantify and compensate oscillator frequency instability is investigated in this paper. With the mathematical statistical models of phase noise, closed-form analytic expressions for the synchronization link performance are derived. The possible error contributions including oscillator, phase-locked loop, and receiver noise are quantified. The link synchronization performance is predicted by utilizing the knowledge of the statistical models, system error contributions, and sampling considerations. Simulation results show that effective synchronization error compensation can be achieved by using this dedicated synchronization link.
Gambadauro, Pietro; Magos, Adam
2012-03-01
Conventional audit of surgical records through review of surgical results provides useful knowledge but hardly helps identify the technical reasons lying behind specific outcomes or complications. Surgical teams not only need to know that a complication might happen but also how and when it is most likely to happen. Functional awareness is therefore needed to prevent complications, know how to deal with them, and improve overall surgical performance. The authors wish to argue that the systematic recording and reviewing of surgical videos, a "surgical black box," might improve surgical care, help prevent complications, and allow accident analysis. A possible strategy to test this hypothesis is presented and discussed. Recording and reviewing surgical interventions, apart from helping us achieve functional awareness and increasing the safety profile of our performance, allows us also to effectively share our experience with colleagues. The authors believe that those potential implications make this hypothesis worth testing.
An Accurate Link Correlation Estimator for Improving Wireless Protocol Performance
Zhao, Zhiwei; Xu, Xianghua; Dong, Wei; Bu, Jiajun
2015-01-01
Wireless link correlation has shown significant impact on the performance of various sensor network protocols. Many works have been devoted to exploiting link correlation for protocol improvements. However, the effectiveness of these designs heavily relies on the accuracy of link correlation measurement. In this paper, we investigate state-of-the-art link correlation measurement and analyze the limitations of existing works. We then propose a novel lightweight and accurate link correlation estimation (LACE) approach based on the reasoning of link correlation formation. LACE combines both long-term and short-term link behaviors for link correlation estimation. We implement LACE as a stand-alone interface in TinyOS and incorporate it into both routing and flooding protocols. Simulation and testbed results show that LACE: (1) achieves more accurate and lightweight link correlation measurements than the state-of-the-art work; and (2) greatly improves the performance of protocols exploiting link correlation. PMID:25686314
A systematic optimization for graphene-based supercapacitors
NASA Astrophysics Data System (ADS)
Deuk Lee, Sung; Lee, Han Sung; Kim, Jin Young; Jeong, Jaesik; Kahng, Yung Ho
2017-08-01
Increasing the energy-storage density for supercapacitors is critical for their applications. Many researchers have attempted to identify optimal candidate component materials to achieve this goal, but investigations into systematically optimizing their mixing rate for maximizing the performance of each candidate material have been insufficient, which hinders the progress in their technology. In this study, we employ a statistically systematic method to determine the optimum mixing ratio of three components that constitute graphene-based supercapacitor electrodes: reduced graphene oxide (rGO), acetylene black (AB), and polyvinylidene fluoride (PVDF). By using the extreme-vertices design, the optimized proportion is determined to be (rGO: AB: PVDF = 0.95: 0.00: 0.05). The corresponding energy-storage density increases by a factor of 2 compared with that of non-optimized electrodes. Electrochemical and microscopic analyses are performed to determine the reason for the performance improvements.
Highly efficient Cu(In,Ga)Se2 solar cells grown on flexible polymer films.
Chirilă, Adrian; Buecheler, Stephan; Pianezzi, Fabian; Bloesch, Patrick; Gretener, Christina; Uhl, Alexander R; Fella, Carolin; Kranz, Lukas; Perrenoud, Julian; Seyrling, Sieghard; Verma, Rajneesh; Nishiwaki, Shiro; Romanyuk, Yaroslav E; Bilger, Gerhard; Tiwari, Ayodhya N
2011-09-18
Solar cells based on polycrystalline Cu(In,Ga)Se(2) absorber layers have yielded the highest conversion efficiency among all thin-film technologies, and the use of flexible polymer films as substrates offers several advantages in lowering manufacturing costs. However, given that conversion efficiency is crucial for cost-competitiveness, it is necessary to develop devices on flexible substrates that perform as well as those obtained on rigid substrates. Such comparable performance has not previously been achieved, primarily because polymer films require much lower substrate temperatures during absorber deposition, generally resulting in much lower efficiencies. Here we identify a strong composition gradient in the absorber layer as the main reason for inferior performance and show that, by adjusting it appropriately, very high efficiencies can be obtained. This implies that future manufacturing of highly efficient flexible solar cells could lower the cost of solar electricity and thus become a significant branch of the photovoltaic industry.
Trumpet intonation pedagogy in the United States at the beginning of the twenty-first century
NASA Astrophysics Data System (ADS)
Flunker, Joel Kent
Although a wealth of pedagogical material exists for most aspects of trumpet performance, there is a comparatively small body of such material devoted to intonation. In addition, while there is general agreement that good intonation is essential to a successful performance, there is no widely accepted methodology for helping students achieve it. This study first identifies the factors that influence trumpet intonation and explores the reasons why intonation receives less pedagogical emphasis than other performance elements. It continues with an examination of how intonation is addressed in existing published materials. This summary of the approaches used in pedagogical publications is compared with methods practiced in applied trumpet studios, based on interviews with respected trumpet professors in major music schools and conservatories. The goal of the study is to define and highlight issues that can help provide a clear focus for future attempts to improve the way intonation is taught and studied.
ROC analysis of diagnostic performance in liver scintigraphy.
Fritz, S L; Preston, D F; Gallagher, J H
1981-02-01
Studies on the accuracy of liver scintigraphy for the detection of metastases were assembled from 38 sources in the medical literature. An ROC curve was fitted to the observed values of sensitivity and specificity using an algorithm developed by Ogilvie and Creelman. This ROC curve fitted the data better than average sensitivity and specificity values in each of four subsets of the data. For the subset dealing with Tc-99m sulfur colloid scintigraphy, performed for detection of suspected metastases and containing data on 2800 scans from 17 independent series, it was not possible to reject the hypothesis that interobserver variation was entirely due to the use of different decision thresholds by the reporting clinicians. Thus the ROC curve obtained is a reasonable baseline estimate of the performance potentially achievable in today's clinical setting. Comparison of new reports with these data is possible, but is limited by the small sample sizes in most reported series.
Relative performance of selected detectors
NASA Astrophysics Data System (ADS)
Ranney, Kenneth I.; Khatri, Hiralal; Nguyen, Lam H.; Sichina, Jeffrey
2000-08-01
The quadratic polynomial detector (QPD) and the radial basis function (RBF) family of detectors -- including the Bayesian neural network (BNN) -- might well be considered workhorses within the field of automatic target detection (ATD). The QPD works reasonably well when the data is unimodal, and it also achieves the best possible performance if the underlying data follow a Gaussian distribution. The BNN, on the other hand, has been applied successfully in cases where the underlying data are assumed to follow a multimodal distribution. We compare the performance of a BNN detector and a QPD for various scenarios synthesized from a set of Gaussian probability density functions (pdfs). This data synthesis allows us to control parameters such as modality and correlation, which, in turn, enables us to create data sets that can probe the weaknesses of the detectors. We present results for different data scenarios and different detector architectures.
Spatial Reasoning Influences Students' Performance on Mathematics Tasks
ERIC Educational Resources Information Center
Lowrie, Tom; Logan, Tracy; Ramful, Ajay
2016-01-01
Although the psychological literature has demonstrated that spatial reasoning and mathematics performance are correlated, there is scant research on these relationships in the middle years. The current study examined the commonalities and differences in students' performance on instruments that measured three spatial reasoning constructs and two…
Children's predictions of future perceptual experiences: Temporal reasoning and phenomenology.
Burns, Patrick; Russell, James
2016-11-01
We investigated the development and cognitive correlates of envisioning future experiences in 3.5- to 6.5-year old children across 2 experiments, both of which involved toy trains traveling along a track. In the first, children were asked to predict the direction of train travel and color of train side, as it would be seen through an arch. Children below 5 years typically failed the task, while performance on it was associated with performance on a "before/after" comprehension task in which order-of-mention in a sentence had to be mapped to a video of 2 actions (after McCormack & Hanley, 2011). In the second train task children were asked to predict the content of a doll's visual experience at the terminal point of a train's transit, based on the tint of a doll's spectacles and the direction of travel (toward or away). Again, success under 5 years of age was very rare and performance was associated with performance on the before/after task. This time there was a strong association with mental rotation skill. We conclude that the consistent association with before/after reasoning suggests that future-envisioning depends upon certain temporal-order concepts being in place. The inconsistent association with mental rotation suggests that envisioning can be achieved phenomenologically, but that its role is only explicit when the question explicitly concerns the content of a visual field. (PsycINFO Database Record (c) 2016 APA, all rights reserved).
Building 865 Hypersonic Wind Tunnel Power System Analysis
DOE Office of Scientific and Technical Information (OSTI.GOV)
Schneider, Larry X.
2015-02-01
This report documents the characterization and analysis of a high current power supply for the building 865 Hypersonic Wind Tunnel at Sandia National Laboratories. The system described in this report became operational in 2013, replacing the original 1968 system which employed an induction voltage regulator. This analysis and testing was completed to help the parent organization understand why an updated and redesigned power system was not delivering adequate power to resistive heater elements in the HWT. This analysis led to an improved understanding of the design and operation of the revised 2013 power supply system and identifies several reasons themore » revised system failed to achieve the performance of the original power supply installation. Design modifications to improve the performance of this system are discussed.« less
Trust from the past: Bayesian Personalized Ranking based Link Prediction in Knowledge Graphs
DOE Office of Scientific and Technical Information (OSTI.GOV)
Zhang, Baichuan; Choudhury, Sutanay; Al-Hasan, Mohammad
2016-02-01
Estimating the confidence for a link is a critical task for Knowledge Graph construction. Link prediction, or predicting the likelihood of a link in a knowledge graph based on prior state is a key research direction within this area. We propose a Latent Feature Embedding based link recommendation model for prediction task and utilize Bayesian Personalized Ranking based optimization technique for learning models for each predicate. Experimental results on large-scale knowledge bases such as YAGO2 show that our approach achieves substantially higher performance than several state-of-art approaches. Furthermore, we also study the performance of the link prediction algorithm in termsmore » of topological properties of the Knowledge Graph and present a linear regression model to reason about its expected level of accuracy.« less
Pursuing Improvement in Clinical Reasoning: The Integrated Clinical Education Theory.
Jessee, Mary Ann
2018-01-01
The link between clinical education and development of clinical reasoning is not well supported by one theoretical perspective. Learning to reason during clinical education may be best achieved in a supportive sociocultural context of nursing practice that maximizes reasoning opportunities and facilitates discourse and meaningful feedback. Prelicensure clinical education seldom incorporates these critical components and thus may fail to directly promote clinical reasoning skill. Theoretical frameworks supporting the development of clinical reasoning during clinical education were evaluated. Analysis of strengths and gaps in each framework's support of clinical reasoning development was conducted. Commensurability of philosophical underpinnings was confirmed, and complex relationships among key concepts were elucidated. Six key concepts and three tenets comprise an explanatory predictive theory-the integrated clinical education theory (ICET). ICET provides critical theoretical support for inquiry and action to promote clinical education that improves development of clinical reasoning skill. [J Nurs Educ. 2018;57(1):7-13.]. Copyright 2018, SLACK Incorporated.
Factors related to achievement in sophomore organic chemistry at the University of Arkansas
NASA Astrophysics Data System (ADS)
Lindsay, Harriet Arlene
The purpose of this study was to identify the significant cognitive and non-cognitive variables that related to achievement in the first semester of organic chemistry at the University of Arkansas. Cognitive variables included second semester general chemistry grade, ACT composite score, ACT English, mathematics, reading, and science reasoning subscores, and spatial ability. Non-cognitive variables included anxiety, confidence, effectance motivation, and usefulness. Using a correlation research design, the individual relationships between organic chemistry achievement and each of the cognitive variables and non-cognitive variables were assessed. In addition, the relationships between organic chemistry achievement and combinations of these independent variables were explored. Finally, gender- and instructor-related differences in the relationships between organic chemistry achievement and the independent variables were investigated. The samples consisted of volunteers from the Fall 1999 and Fall 2000 sections of Organic Chemistry I at the University of Arkansas. All students in each section were asked to participate. Data for spatial ability and non-cognitive independent variables were collected using the Purdue Visualization of Rotations test and the modified Fennema-Sherman Attitude Scales. Data for other independent variables, including ACT scores and second semester general chemistry grades, were obtained from the Office of Institutional Research. The dependent variable, organic chemistry achievement, was measured by each student's accumulated points in the course and consisted of scores on quizzes and exams in the lecture section only. These totals were obtained from the lecture instructor at the end of each semester. Pearson correlation and stepwise multiple regression analyses were used to measure the relationships between organic chemistry achievement and the independent variables. Prior performance in chemistry as measured by second semester general chemistry grade was the best indicator of performance in organic chemistry. The importance of other independent variables in explaining organic chemistry achievement varied between instructors. In addition, gender differences were found in the explanations of organic chemistry achievement variance provided by this study. In general, males exhibited stronger correlations between independent variables and organic chemistry achievement than females. The report contains 19 tables detailing the statistical analyses. Suggestions for improved practice and further research are also included
Fission Power System Technology for NASA Exploration Missions
NASA Technical Reports Server (NTRS)
Mason, Lee; Houts, Michael
2011-01-01
Under the NASA Exploration Technology Development Program, and in partnership with the Department of Energy (DOE), NASA is conducting a project to mature Fission Power System (FPS) technology. A primary project goal is to develop viable system options to support future NASA mission needs for nuclear power. The main FPS project objectives are as follows: 1) Develop FPS concepts that meet expected NASA mission power requirements at reasonable cost with added benefits over other options. 2) Establish a hardware-based technical foundation for FPS design concepts and reduce overall development risk. 3) Reduce the cost uncertainties for FPS and establish greater credibility for flight system cost estimates. 4) Generate the key products to allow NASA decisionmakers to consider FPS as a preferred option for flight development. In order to achieve these goals, the FPS project has two main thrusts: concept definition and risk reduction. Under concept definition, NASA and DOE are performing trade studies, defining requirements, developing analytical tools, and formulating system concepts. A typical FPS consists of the reactor, shield, power conversion, heat rejection, and power management and distribution (PMAD). Studies are performed to identify the desired design parameters for each subsystem that allow the system to meet the requirements with reasonable cost and development risk. Risk reduction provides the means to evaluate technologies in a laboratory test environment. Non-nuclear hardware prototypes are built and tested to verify performance expectations, gain operating experience, and resolve design uncertainties.
Both, Stefan; Alecu, Ionut M; Stan, Andrada R; Alecu, Marius; Ciura, Andrei; Hansen, Jeremy M; Alecu, Rodica
2007-03-07
An effective patient quality assurance (QA) program for intensity-modulated radiation therapy (IMRT) requires accurate and realistic plan acceptance criteria--that is, action limits. Based on dose measurements performed with a commercially available two-dimensional (2D) diode array, we analyzed 747 fluence maps resulting from a routine patient QA program for IMRT plans. The fluence maps were calculated by three different commercially available (ADAC, CMS, Eclipse) treatment planning systems (TPSs) and were delivered using 6-MV X-ray beams produced by linear accelerators. To establish reasonably achievable and clinically acceptable limits for the dose deviations, the agreement between the measured and calculated fluence maps was evaluated in terms of percent dose error (PDE) for a few points and percent of passing points (PPP) for the isodose distribution. The analysis was conducted for each TPS used in the study (365 ADAC, 162 CMS,220 Eclipse), for multiple treatment sites (prostate, pelvis, head and neck, spine, rectum, anus, lung, brain), at the normalization point for 3% percentage difference (%Diff) and 3-mm distance to agreement (DTA) criteria. We investigated the treatment-site dependency of PPP and PDE. The results show that, at 3% and 3-mm criteria, a 95% PPP and 3% PDE can be achieved for prostate treatments and a 90% PPP and 5% PDE are attainable for any treatment site.
Re-Operative Pancreaticoduodenectomy: Challenges and Outcomes.
Bhandare, Manish S; Mehta, Nikhil; Chaudhari, Vikram; Kumar, Naveena An; Pai, Esha; Goel, Mahesh; Shrikhande, Shailesh V
2018-05-23
Tata Memorial Centre (TMC) is a high-volume centre for pancreatic tumour resections. We found a continually increasing referral of pancreatic tumours for re-evaluation for surgery, after an initial unsuccessful attempt at resection. To evaluate reasons of initial in-operability, the feasibility of re-operative pancreatico-duodenectomy (R-PD) and short- and long-term outcomes after R-PD. Data was collected from a prospective database of GI and hepato-pancreato-biliary service, TMC, Mumbai from January 2008 to December 2016. Forty patients with periampullary/pancreatic head tumours were referred to us after exploration. Thirty were planned for re-exploration, of whom 25 patients underwent successful R-PD, either upfront (n = 12) or after neo-adjuvant therapy (n = 13). Twenty were adenocarcinomas, 5 had other histologies. Majority of the patients were deemed inoperable in view of suspected vascular involvement at the time of initial surgery (68%). R0 resection was achieved in 90% of adenocarcinoma cases (n = 18). Postoperative major morbidity was 20% and mortality was 4% (n = 1). The estimated 1-, 2- and 5-year survival for those with adenocarcinoma was 83, 71.2, and 29.9% respectively. R-PD is safe and should be performed in experienced centres and can achieve long-term outcomes, comparable to conventional PD. The most common reason for denying resection at initial surgery was suspected or perceived vascular involvement. © 2018 S. Karger AG, Basel.
Ion-selective electrolyte-gated field-effect transistors: prerequisites for proper functioning
NASA Astrophysics Data System (ADS)
Kofler, Johannes; Schmoltner, Kerstin; List-Kratochvil, Emil J. W.
2014-10-01
Electrolyte-gated organic field-effect transistors (EGOFETs) used as transducers and amplifiers in potentiometric sensors have recently attracted a significant amount of scientific interest. For that reason, the fundamental prerequisites to achieve a proper potentiometric signal amplification and transduction are examined. First, polarizable as well as non-polarizable semiconductor- and gate-electrolyte- interface combinations are investigated by normal pulse voltammetry. The results of these measurements are correlated with the corresponding transistor characteristics, clarifying the functional principle of EGOFETs and the requirements for high signal amplification. In addition to a good electrical performance, the EGOFET-transducers should also be compatible with the targeted sensing application. Accordingly, the influence of different gate materials and electrolytes on the sensing abilities, are discussed. Even though all physical requirements are met, EGOFETs typically exhibit irreversible degradation, if the gate potential exceeds a certain level. For that reason, EGOFETs have to be operated using a constant source-drain operation mode which is presented by means of an H+ (pH) sensitive ion-sensor.
Low-Cost, High Glass-Transition Temperature, Thermosetting Polyimide Developed
NASA Technical Reports Server (NTRS)
Chuang, Kathy C.
1999-01-01
PMR-15 polyimide, developed in the mid-1970's at the NASA Lewis Research Center, is recognized as a state-of-the-art high-temperature resin for composite applications in the temperature range of 500 to 550 F (260 to 288 C). PMR-15 offers easy processing and good property retention at a reasonable cost. For these reasons, it is widely used in both military and commercial aircraft engine components. Traditionally, polyimide composites have been designed for long-term use at 500 to 600 F over thousands of hours. However, new applications in reusable launch vehicles (RLV's) require lightweight materials that can perform for short times (tens of hours) at temperatures between 800 and 1000 F (425 and 538 C). Current efforts at Lewis are focused on raising the use temperature of polyimide composites by increasing the glass-transition temperature of the matrix resins. Achieving this dramatic increase in the upper use temperature without sacrificing polymer and composite processability is a major technical challenge.
Using turbulence scintillation to assist object ranging from a single camera viewpoint.
Wu, Chensheng; Ko, Jonathan; Coffaro, Joseph; Paulson, Daniel A; Rzasa, John R; Andrews, Larry C; Phillips, Ronald L; Crabbs, Robert; Davis, Christopher C
2018-03-20
Image distortions caused by atmospheric turbulence are often treated as unwanted noise or errors in many image processing studies. Our study, however, shows that in certain scenarios the turbulence distortion can be very helpful in enhancing image processing results. This paper describes a novel approach that uses the scintillation traits recorded on a video clip to perform object ranging with reasonable accuracy from a single camera viewpoint. Conventionally, a single camera would be confused by the perspective viewing problem, where a large object far away looks the same as a small object close by. When the atmospheric turbulence phenomenon is considered, the edge or texture pixels of an object tend to scintillate and vary more with increased distance. This turbulence induced signature can be quantitatively analyzed to achieve object ranging with reasonable accuracy. Despite the inevitable fact that turbulence will cause random blurring and deformation of imaging results, it also offers convenient solutions to some remote sensing and machine vision problems, which would otherwise be difficult.
Cámara, María S; Ferroni, Félix M; De Zan, Mercedes; Goicoechea, Héctor C
2003-07-01
An improvement is presented on the simultaneous determination of two active ingredients present in unequal concentrations in injections. The analysis was carried out with spectrophotometric data and non-linear multivariate calibration methods, in particular artificial neural networks (ANNs). The presence of non-linearities caused by the major analyte concentrations which deviate from Beer's law was confirmed by plotting actual vs. predicted concentrations, and observing curvatures in the residuals for the estimated concentrations with linear methods. Mixtures of dextropropoxyphene and dipyrone have been analysed by using linear and non-linear partial least-squares (PLS and NPLSs) and ANNs. Notwithstanding the high degree of spectral overlap and the occurrence of non-linearities, rapid and simultaneous analysis has been achieved, with reasonably good accuracy and precision. A commercial sample was analysed by using the present methodology, and the obtained results show reasonably good agreement with those obtained by using high-performance liquid chromatography (HPLC) and a UV-spectrophotometric comparative methods.
DOE Office of Scientific and Technical Information (OSTI.GOV)
Gebis, Joseph; Oliker, Leonid; Shalf, John
The disparity between microprocessor clock frequencies and memory latency is a primary reason why many demanding applications run well below peak achievable performance. Software controlled scratchpad memories, such as the Cell local store, attempt to ameliorate this discrepancy by enabling precise control over memory movement; however, scratchpad technology confronts the programmer and compiler with an unfamiliar and difficult programming model. In this work, we present the Virtual Vector Architecture (ViVA), which combines the memory semantics of vector computers with a software-controlled scratchpad memory in order to provide a more effective and practical approach to latency hiding. ViVA requires minimal changesmore » to the core design and could thus be easily integrated with conventional processor cores. To validate our approach, we implemented ViVA on the Mambo cycle-accurate full system simulator, which was carefully calibrated to match the performance on our underlying PowerPC Apple G5 architecture. Results show that ViVA is able to deliver significant performance benefits over scalar techniques for a variety of memory access patterns as well as two important memory-bound compact kernels, corner turn and sparse matrix-vector multiplication -- achieving 2x-13x improvement compared the scalar version. Overall, our preliminary ViVA exploration points to a promising approach for improving application performance on leading microprocessors with minimal design and complexity costs, in a power efficient manner.« less
Rank-based pooling for deep convolutional neural networks.
Shi, Zenglin; Ye, Yangdong; Wu, Yunpeng
2016-11-01
Pooling is a key mechanism in deep convolutional neural networks (CNNs) which helps to achieve translation invariance. Numerous studies, both empirically and theoretically, show that pooling consistently boosts the performance of the CNNs. The conventional pooling methods are operated on activation values. In this work, we alternatively propose rank-based pooling. It is derived from the observations that ranking list is invariant under changes of activation values in a pooling region, and thus rank-based pooling operation may achieve more robust performance. In addition, the reasonable usage of rank can avoid the scale problems encountered by value-based methods. The novel pooling mechanism can be regarded as an instance of weighted pooling where a weighted sum of activations is used to generate the pooling output. This pooling mechanism can also be realized as rank-based average pooling (RAP), rank-based weighted pooling (RWP) and rank-based stochastic pooling (RSP) according to different weighting strategies. As another major contribution, we present a novel criterion to analyze the discriminant ability of various pooling methods, which is heavily under-researched in machine learning and computer vision community. Experimental results on several image benchmarks show that rank-based pooling outperforms the existing pooling methods in classification performance. We further demonstrate better performance on CIFAR datasets by integrating RSP into Network-in-Network. Copyright © 2016 Elsevier Ltd. All rights reserved.
Fast and Flexible Successive-Cancellation List Decoders for Polar Codes
NASA Astrophysics Data System (ADS)
Hashemi, Seyyed Ali; Condo, Carlo; Gross, Warren J.
2017-11-01
Polar codes have gained significant amount of attention during the past few years and have been selected as a coding scheme for the next generation of mobile broadband standard. Among decoding schemes, successive-cancellation list (SCL) decoding provides a reasonable trade-off between the error-correction performance and hardware implementation complexity when used to decode polar codes, at the cost of limited throughput. The simplified SCL (SSCL) and its extension SSCL-SPC increase the speed of decoding by removing redundant calculations when encountering particular information and frozen bit patterns (rate one and single parity check codes), while keeping the error-correction performance unaltered. In this paper, we improve SSCL and SSCL-SPC by proving that the list size imposes a specific number of bit estimations required to decode rate one and single parity check codes. Thus, the number of estimations can be limited while guaranteeing exactly the same error-correction performance as if all bits of the code were estimated. We call the new decoding algorithms Fast-SSCL and Fast-SSCL-SPC. Moreover, we show that the number of bit estimations in a practical application can be tuned to achieve desirable speed, while keeping the error-correction performance almost unchanged. Hardware architectures implementing both algorithms are then described and implemented: it is shown that our design can achieve 1.86 Gb/s throughput, higher than the best state-of-the-art decoders.
ERIC Educational Resources Information Center
Papay, John P.; Kraft, Matthew A.; Bloom, Julia; Buckley, Kate; Liebowitz, David
2013-01-01
While there are many reasons why late hiring may affect student achievement, no empirical studies have documented this effect in practice. This paper presents the first estimates of the direct impact of late hiring on students' academic achievement, sheds light on two competing explanations for the struggles of late-hire teachers advanced in the…
Chen, Weiliang; De Schutter, Erik
2017-01-01
Stochastic, spatial reaction-diffusion simulations have been widely used in systems biology and computational neuroscience. However, the increasing scale and complexity of models and morphologies have exceeded the capacity of any serial implementation. This led to the development of parallel solutions that benefit from the boost in performance of modern supercomputers. In this paper, we describe an MPI-based, parallel operator-splitting implementation for stochastic spatial reaction-diffusion simulations with irregular tetrahedral meshes. The performance of our implementation is first examined and analyzed with simulations of a simple model. We then demonstrate its application to real-world research by simulating the reaction-diffusion components of a published calcium burst model in both Purkinje neuron sub-branch and full dendrite morphologies. Simulation results indicate that our implementation is capable of achieving super-linear speedup for balanced loading simulations with reasonable molecule density and mesh quality. In the best scenario, a parallel simulation with 2,000 processes runs more than 3,600 times faster than its serial SSA counterpart, and achieves more than 20-fold speedup relative to parallel simulation with 100 processes. In a more realistic scenario with dynamic calcium influx and data recording, the parallel simulation with 1,000 processes and no load balancing is still 500 times faster than the conventional serial SSA simulation. PMID:28239346
Chen, Weiliang; De Schutter, Erik
2017-01-01
Stochastic, spatial reaction-diffusion simulations have been widely used in systems biology and computational neuroscience. However, the increasing scale and complexity of models and morphologies have exceeded the capacity of any serial implementation. This led to the development of parallel solutions that benefit from the boost in performance of modern supercomputers. In this paper, we describe an MPI-based, parallel operator-splitting implementation for stochastic spatial reaction-diffusion simulations with irregular tetrahedral meshes. The performance of our implementation is first examined and analyzed with simulations of a simple model. We then demonstrate its application to real-world research by simulating the reaction-diffusion components of a published calcium burst model in both Purkinje neuron sub-branch and full dendrite morphologies. Simulation results indicate that our implementation is capable of achieving super-linear speedup for balanced loading simulations with reasonable molecule density and mesh quality. In the best scenario, a parallel simulation with 2,000 processes runs more than 3,600 times faster than its serial SSA counterpart, and achieves more than 20-fold speedup relative to parallel simulation with 100 processes. In a more realistic scenario with dynamic calcium influx and data recording, the parallel simulation with 1,000 processes and no load balancing is still 500 times faster than the conventional serial SSA simulation.
Parisi, Jeanine M.; Franchetti, Mary Kathryn; Rebok, George W.; Spira, Adam P.; Carlson, Michelle C.; Willis, Sherry L.; Gross, Alden L.
2015-01-01
Within the context of the Advanced Cognitive Training for Independent and Vital Elderly (ACTIVE) study, we examined the longitudinal association of baseline depressive symptoms on inductive reasoning performance over a ten-year period between the reasoning training and control conditions (N = 1,375). At baseline, 322 participants (23%) reported elevated depressive symptoms, defined by a score ≥ 9 on the Center for Epidemiological Studies Depression scale (12-item). Differences in baseline depressive status were not associated with immediate post-training gains or with subsequent annual change in reasoning performance, suggesting that the presence of elevated baseline depressive symptoms does not impact the ability to benefit from reasoning training. PMID:25244465
Moral Reasoning as a Process of Information Integration.
ERIC Educational Resources Information Center
Kaplan, Martin F.
Four experiments were conducted to explore issues in the development and modification of both moral choices and judgments of achievement using concepts and data from a social judgment perspective. In the first experiment, college students functioning at different reasoning levels indicated on a 20-point scale their strength of belief that an…
Comparing Two Tests of Formal Reasoning in a College Chemistry Context
ERIC Educational Resources Information Center
Jiang, Bo; Xu, Xiaoying; Garcia, Alicia; Lewis, Jennifer E.
2010-01-01
The Test of Logical Thinking (TOLT) and the Group Assessment of Logical Thinking (GALT) are two of the instruments most widely used by science educators and researchers to measure students' formal reasoning abilities. Based on Piaget's cognitive development theory, formal thinking ability has been shown to be essential for student achievement in…
Learning to Teach Inquiry with ICT
ERIC Educational Resources Information Center
Tran, Trinh-Ba; van den Berg, Ed; Ellermeijer, Ton; Beishuizen, Jos
2018-01-01
Research has shown that the objectives for laboratory teaching--just as with other teaching methods--are often not achieved and that many laboratory sessions are ineffective and yet expensive in terms of pupil and teacher time, and facilities. There are several reasons for this, but one reason is that instructions for many lab activities are too…
ERIC Educational Resources Information Center
Abbas, Rasha Al-Sayed Sabry
2017-01-01
This research aimed at investigating the effectiveness of STEM approach in developing visual reasoning and learning independence for preparatory stage students. To achieve this aim, the researcher designed a program based on STEM approach in light of the principles of nanotechnology. Twenty one preparatory stage students participated in the…
ERIC Educational Resources Information Center
Ayieko, Rachel A.; Gokbel, Elif N.; Nelson, Bryan
2017-01-01
This study uses the 2011 Trends in International Mathematics and Science Study to investigate the relationships among students' and teachers' computer use, and eighth-grade students' mathematical reasoning in three high-achieving nations: Finland, Chinese Taipei, and Singapore. The study found a significant negative relationship in all three…
ERIC Educational Resources Information Center
Karatas, Ilhan; Baki, Adnan
2013-01-01
Problem solving is recognized as an important life skill involving a range of processes including analyzing, interpreting, reasoning, predicting, evaluating and reflecting. For that reason educating students as efficient problem solvers is an important role of mathematics education. Problem solving skill is the centre of mathematics curriculum.…
Learning Outcomes between Socioscientific Issues-Based Learning and Conventional Learning Activities
ERIC Educational Resources Information Center
Wongsri, Piyaluk; Nuangchalerm, Prasart
2010-01-01
Problem statement: Socioscientific issues-based learning activity is essential for scientific reasoning skills and it could be used for analyzing problems be applied to each situation for more successful and suitable. The purposes of this research aimed to compare learning achievement, analytical thinking and moral reasoning of seventh grade…
Deloose, Koen; Callaert, Joren
2018-05-23
Although evidence supports that the performance of drug coated balloons seems to be lesion complexity independent, it is quite clear that in long lesions, severe calcified lesions and chronic total occlusions, the bail out stent ratio is very high and that the "leaving nothing behind" strategy remains a dream in a lot of our daily cases. On the other side of the spectrum, "full metal jackets" of nitinol stents are creating even more problems. Stent fractures, intimal hyperplasia and reintervention difficulties complicate the recurrent vascular disease treatment. The go-between with the "As Less As Reasonably Achievable Stenting"-strategy (ALARAS), earlier named with a bad name "spot" stenting, seems the most attractive one. Scaffolding where needed and allowing freedom of vessel motion will lead to reduction of TLR rates. New technologies like the Tack Endovascular System and the Vascuflex MultiLOC MSD are responding very well tot this idea. Animal tests and pivotal trials (like TOBA and LOCOMOTIVE trials) already showed with both devices good results in terms of patencies and freedom from target lesion revascularizations, and... with less metallic implants. Primary patency at 12 months was 76.4% and 85.7% in the TOBA and LOCOMOTIVE trial respectively. Target lesion revascularization at 12 months was 10.5% and 9.3% respectively. In an era of "leaving nothing behind", post-angioplasty dissections are more frequent than ever. With a direct link between lesion complexity, dissections and increase of TLR rates, scaffolding solutions remains essential. The "As Less As Reasonably Achievable Stenting" (ALARAS) strategy tries to leave as little metal behind as possible, minimizing the risk of stent fractures, allowing freedom of vessel motion and reducing TLR rates. However, the lack of clear strategies and guidelines in where to scaffold which kind of dissections is the biggest issue at the moment. More objective classifications based on newer types of imaging like intra-operative ultrasound, IVUS, OCT and/or FFR pressure wire gradient measurements will potentially offer more solutions in this interesting field.
Tsujii, Takeo; Sakatani, Kaoru; Masuda, Sayako; Akiyama, Takekazu; Watanabe, Shigeru
2011-09-15
This study used off-line repetitive transcranial magnetic stimulation (rTMS) to examine the roles of the superior parietal lobule (SPL) and inferior frontal gyrus (IFG) in a deductive reasoning task. Subjects performed a categorical syllogistic reasoning task involving congruent, incongruent, and abstract trials. Twenty four subjects received magnetic stimulation to the SPL region prior to the task. In the other 24 subjects, TMS was administered to the IFG region before the task. Stimulation lasted for 10min, with an inter-pulse frequency of 1Hz. We found that bilateral SPL (Brodmann area (BA) 7) stimulation disrupted performance on abstract and incongruent reasoning. Left IFG (BA 45) stimulation impaired congruent reasoning performance while paradoxically facilitating incongruent reasoning performance. This resulted in the elimination of the belief-bias. In contrast, right IFG stimulation only impaired incongruent reasoning performance, thus enhancing the belief-bias effect. These findings are largely consistent with the dual-process theory of reasoning, which proposes the existence of two different human reasoning systems: a belief-based heuristic system; and a logic-based analytic system. The present findings suggest that the left language-related IFG (BA 45) may correspond to the heuristic system, while bilateral SPL may underlie the analytic system. The right IFG may play a role in blocking the belief-based heuristic system for solving incongruent reasoning trials. This study could offer an insight about functional roles of distributed brain systems in human deductive reasoning by utilizing the rTMS approach. Copyright © 2011 Elsevier Inc. All rights reserved.
Mathematically Talented Males and Females and Achievement in the High School Sciences.
ERIC Educational Resources Information Center
Benbow, Camilla Persson; Minor, Lola L.
1986-01-01
Using data on approximately 2,000 students drawn from three talent searches conducted by the Study of Mathematically Precocious Youth, this study investigated the relationship of possible sex differences in science achievement to sex differences in mathematical reasoning ability. (BS)
Teaching Scientific Reasoning to Liberal Arts Students
NASA Astrophysics Data System (ADS)
Rubbo, Louis
2014-03-01
University courses in conceptual physics and astronomy typically serve as the terminal science experience for the liberal arts student. Within this population significant content knowledge gains can be achieved by utilizing research verified pedagogical methods. However, from the standpoint of the Univeristy, students are expected to complete these courses not necessarily for the content knowledge but instead for the development of scientific reasoning skills. Results from physics education studies indicate that unless scientific reasoning instruction is made explicit students do not progress in their reasoning abilities. How do we complement the successful content based pedagogical methods with instruction that explicitly focuses on the development of scientific reasoning skills? This talk will explore methodologies that actively engages the non-science students with the explicit intent of fostering their scientific reasoning abilities.
Tan, Bee Eng; Lim, Ai Lee; Kan, Sow Lai; Lim, Chong Hong; Ng, Ying Fun; Tng, Serene Li Ching; Hassin, Nur Syakirah; Chandran, Losshenee; Hamid, Norshahida Abdul; Lee, Yvonne Yin Leng
2017-06-01
To evaluate the achievement of treat-to-target (T2T) strategy in rheumatoid arthritis (RA) and identify factors associated with failed treatment target in a public rheumatology center. A cross-sectional study was conducted from June 2015 to February 2016. RA patients with disease duration greater than 2 years and under T2T for over a year were invited to the study. Demographic, clinical data, disease activity score of 28 joints (DAS28), and clinical disease activity index (CDAI) were collected in a single routine clinic visit. Treatment target was defined as DAS28 <3.2 or CDAI ≤10. Retrospective chart review was performed to determine reasons of failed treatment target. A total of 371 patients were recruited and 87.1% were female. Mean age and duration of RA were 53.5 years (SD 10.3) and 9.1 years (SD 6.6), respectively. Ethnic distribution was 49% Chinese, 27% Malay, and 24% Indian. T2T was achieved in 81.7% of the cohort. Non-Chinese ethnicity, positive rheumatoid factor, and treatment with three disease modifying anti-rheumatic drugs (DMARDs) were associated with failed treatment target. After controlling for covariates, Malay ethnicity (OR 2.96; 95% CI 1.47-5.96) and treatment with three DMARDs (OR 2.14; 95% CI 1.06-4.35) were associated with failed treatment target. There was no association between age, gender, duration of RA, BMI, smoking status, anti-citrulinated cyclic peptide, and achievement of T2T. The most common reasons of failed treatment target were inability to escalate DMARDs due to side effects (18.8%), lack of biologics fund (15.6%), and persistent disease despite optimum treatment (14.1%). T2T was successfully implemented. Malay patients need aggressive treatment adaptation to achieve optimal outcome.
[Occupational complexity and late-life memory and reasoning abilities].
Ishioka, Yoshiko; Gondo, Yasuyuki; Masui, Yukie; Nakagawa, Takeshi; Tabuchi, Megumi; Ogawa, Madoka; Kamide, Kei; Ikebe, Kazunori; Arai, Yasumichi; Ishizaki, Tatsuro; Takahashi, Ryutaro
2015-08-01
This study examined the associations between the complexity of an individual's primary lifetime occupation and his or her late-life memory and reasoning performance, using data from 824 community-dwelling participants aged 69-72 years. The complexity of work with data, people, and things was evaluated based on the Japanese job complexity score. The associations between occupational complexity and participant's memory and reasoning abilities were examined in multiple regression analyses. An association was found between more comple work with people and higher memory performance, as well as between more complex work with data and higher reasoning performance, after having controlled for gender, school records, and education. Further, an interaction effect was observed between gender and complexity of work with data in relation to reasoning performance: work involving a high degree of complexity with data was associated with high reasoning performance in men. These findings suggest the need to consider late-life cognitive functioning within the context of adulthood experiences, specifically those related to occupation and gender.
Mechanical-physical experimental tests on lime mortars and bricks reinforced with hemp
NASA Astrophysics Data System (ADS)
Formisano, Antonio; Dessı, Enzo; Landolfo, Raffaele
2017-11-01
Hemp is an agricultural product used for various applications. In the Civil Engineering field, only a limited use of this natural material, called the "green pig" since exploitation of all its constituent parts is allowed, has been done. For this reason, in the paper an experimental activity on lime mortars and bricks reinforced with hemp components has been performed. Compression and bending tests have been carried out on specimens manufactured with hemp shives and fibres, respectively. The achieved results have shown that hemp products change the failure modes from brittle to ductile, leaving basically unaltered the strength capacity of reinforced specimens with respect to unreinforced ones.
Johns, Merida L
2013-01-01
The business case for gender diversity in senior and executive positions is compelling. Studies show that companies that have the best records for promoting women outstrip their competition on every measure of profitability. Yet women disproportionately are failing to attain high-level positions. Reviewing current data on women in the workplace, findings of studies on the relationship between gender diversity in senior management and company performance, and the literature on gender behavioral differences and the workplace, this article explores the possible reasons for the persistent wage and gender gap between women and men in senior leadership positions and discusses possible remedies.
Research on Chinese life cycle-based wind power plant environmental influence prevention measures.
Wang, Hanxi; Xu, Jianling; Liu, Yuanyuan; Zhang, Tian
2014-08-19
The environmental impact of wind power plants over their life cycle is divided into three stages: construction period, operation period and retired period. The impact is mainly reflected in ecological destruction, noise pollution, water pollution and the effect on bird migration. In response to these environmental effects, suggesting reasonable locations, reducing plant footprint, optimizing construction programs, shielding noise, preventing pollution of terrestrial ecosystems, implementing combined optical and acoustical early warning signals, making synthesized use of power generation equipment in the post-retired period and using other specific measures, including methods involving governance and protection efforts to reduce environmental pollution, can be performed to achieve sustainable development.
Nanomaterials for the Selective Detection of Hydrogen Sulfide in Air
Llobet, Eduard; Brunet, Jérôme; Pauly, Alain; Ndiaye, Amadou; Varenne, Christelle
2017-01-01
This paper presents a focused review on the nanomaterials and associated transduction schemes that have been developed for the selective detection of hydrogen sulfide. It presents a quite comprehensive overview of the latest developments, briefly discusses the hydrogen sulfide detection mechanisms, identifying the reasons for the selectivity (or lack of) observed experimentally. It critically reviews performance, shortcomings, and identifies missing or overlooked important aspects. It identifies the most mature/promising materials and approaches for achieving inexpensive hydrogen sulfide sensors that could be employed in widespread, miniaturized, and inexpensive detectors and, suggests what research should be undertaken for ensuring that requirements are met. PMID:28218674
Complications of Anterior and Posterior Cervical Spine Surgery
Cheung, Jason Pui Yin
2016-01-01
Cervical spine surgery performed for the correct indications yields good results. However, surgeons need to be mindful of the many possible pitfalls. Complications may occur starting from the anaesthestic procedure and patient positioning to dura exposure and instrumentation. This review examines specific complications related to anterior and posterior cervical spine surgery, discusses their causes and considers methods to prevent or treat them. In general, avoiding complications is best achieved with meticulous preoperative analysis of the pathology, good patient selection for a specific procedure and careful execution of the surgery. Cervical spine surgery is usually effective in treating most pathologies and only a reasonable complication rate exists. PMID:27114784
Howard, Steven J; Woodcock, Stuart; Ehrich, John; Bokosmaty, Sahar
2017-03-01
A fundamental aim of standardized educational assessment is to achieve reliable discrimination between students differing in the knowledge, skills and abilities assessed. However, questions of the purity with which these tests index students' genuine abilities have arisen. Specifically, literacy and numeracy assessments may also engage unintentionally assessed capacities. The current study investigated the extent to which domain-general processes - working memory (WM) and non-verbal reasoning - contribute to students' standardized test performance and the pathway(s) through which they exert this influence. Participants were 91 Grade 2 students recruited from five regional and metropolitan primary schools in Australia. Participants completed measures of WM and non-verbal reasoning, as well as literacy and numeracy subtests of a national standardized educational assessment. Path analysis of Rasch-derived ability estimates and residuals with domain-general cognitive abilities indicated: (1) a consistent indirect pathway from WM to literacy and numeracy ability, through non-verbal reasoning; (2) direct paths from phonological WM and literacy ability to numeracy ability estimates; and (3) a direct path from WM to spelling test residuals. Results suggest that the constitution of this nationwide standardized assessment confounded non-targeted abilities with those that were the target of assessment. This appears to extend beyond the effect of WM on learning more generally, to the demands of different assessment types and methods. This has implications for students' abilities to demonstrate genuine competency in assessed areas and the educational supports and provisions they are provided on the basis of these results. © 2016 The British Psychological Society.
Domain-General Contributions to Social Reasoning: Theory of Mind and Deontic Reasoning Re-Explored
ERIC Educational Resources Information Center
McKinnon, Margaret C.; Moscovitch, Morris
2007-01-01
Using older adults and dual-task interference, we examined performance on two social reasoning tasks: theory of mind (ToM) tasks and versions of the deontic selection task involving social contracts and hazardous conditions. In line with performance accounts of social reasoning (Leslie, Friedman, & German, 2004), evidence from both aging and the…
Integrating Cache Performance Modeling and Tuning Support in Parallelization Tools
NASA Technical Reports Server (NTRS)
Waheed, Abdul; Yan, Jerry; Saini, Subhash (Technical Monitor)
1998-01-01
With the resurgence of distributed shared memory (DSM) systems based on cache-coherent Non Uniform Memory Access (ccNUMA) architectures and increasing disparity between memory and processors speeds, data locality overheads are becoming the greatest bottlenecks in the way of realizing potential high performance of these systems. While parallelization tools and compilers facilitate the users in porting their sequential applications to a DSM system, a lot of time and effort is needed to tune the memory performance of these applications to achieve reasonable speedup. In this paper, we show that integrating cache performance modeling and tuning support within a parallelization environment can alleviate this problem. The Cache Performance Modeling and Prediction Tool (CPMP), employs trace-driven simulation techniques without the overhead of generating and managing detailed address traces. CPMP predicts the cache performance impact of source code level "what-if" modifications in a program to assist a user in the tuning process. CPMP is built on top of a customized version of the Computer Aided Parallelization Tools (CAPTools) environment. Finally, we demonstrate how CPMP can be applied to tune a real Computational Fluid Dynamics (CFD) application.
ERIC Educational Resources Information Center
Pirrone, Concetta; Tienken, Christopher H.; Pagano, Tatiana; Di Nuovo, Santo
2018-01-01
In an experimental study to explain the effect of structured Building Block Play with LEGO™ bricks on 6-year-old student mathematics achievement and in the areas of logical thinking, divergent thinking, nonverbal reasoning, and mental imagery, students in the experimental group scored significantly higher (p = 0.05) in mathematics achievement and…
Narrowing the Achievement Gap: A Case Study of an Urban School
ERIC Educational Resources Information Center
Lugo, Rosalinda
2010-01-01
The goal of this case study was to identify the cultural norms, practices, and programs of an urban school that narrowed the achievement gap. The reason for identifying these factors in a successful school was to add to the body of literature regarding the achievement gap and what a struggling school was able to do to narrow the gap. This case…
Christine Esposito
2006-01-01
Wildland fire professionals at the Federal, State, and local levels have a long tradition of collaborating across agencies and jurisdictions to achieve goals that they could not achieve independently. This fact sheet discusses the reasons and resources for collaboration.Other...
NASA Astrophysics Data System (ADS)
Iyatomi, Hitoshi; Hashimoto, Jun; Yoshii, Fumuhito; Kazama, Toshiki; Kawada, Shuichi; Imai, Yutaka
2014-03-01
Discrimination between Alzheimer's disease and other dementia is clinically significant, however it is often difficult. In this study, we developed classification models among Alzheimer's disease (AD), other dementia (OD) and/or normal subjects (NC) using patient factors and indices obtained by brain perfusion SPECT. SPECT is commonly used to assess cerebral blood flow (CBF) and allows the evaluation of the severity of hypoperfusion by introducing statistical parametric mapping (SPM). We investigated a total of 150 cases (50 cases each for AD, OD, and NC) from Tokai University Hospital, Japan. In each case, we obtained a total of 127 candidate parameters from: (A) 2 patient factors (age and sex), (B) 12 CBF parameters and 113 SPM parameters including (C) 3 from specific volume analysis (SVA), and (D) 110 from voxel-based analysis stereotactic extraction estimation (vbSEE). We built linear classifiers with a statistical stepwise feature selection and evaluated the performance with the leave-one-out cross validation strategy. Our classifiers achieved very high classification performances with reasonable number of selected parameters. In the most significant discrimination in clinical, namely those of AD from OD, our classifier achieved both sensitivity (SE) and specificity (SP) of 96%. In a similar way, our classifiers achieved a SE of 90% and a SP of 98% in AD from NC, as well as a SE of 88% and a SP of 86% in AD from OD and NC cases. Introducing SPM indices such as SVA and vbSEE, classification performances improved around 7-15%. We confirmed that these SPM factors are quite important for diagnosing Alzheimer's disease.
NASA Astrophysics Data System (ADS)
Kopec, Ronald H.
2002-09-01
Dissecting animal specimens has long been a tradition in biology classes. Objections by students, based on religious or ethical grounds, have been raised regarding the dissections of animals in classroom laboratories. A number of states now have legal proceedings or statewide policies requiring that alternatives to the actual dissection of laboratory animal specimens be permitted in their school districts. Alternatives to actual dissections have been developed in recent years. For a variety of reasons, performing an actual or conventional animal dissection may not be a desirable option. The purpose of this study was to investigate how a virtual On-line frog dissection compares with an actual laboratory dissection. What were the perceptions of the teacher's using it? How does student achievement compare among three the different ability levels on a pre and posttest regarding basic frog anatomy? Is a virtual On-line dissection a suitable alternative for students who, for whatever reason, do not participate in the actual laboratory experience? The subjects consisted of 218 biology students among three different ability levels, in a Northeastern suburban high school. Approximately half of the student groups participated in a virtual On-line dissection, the other half in an actual laboratory dissection. A pretest of basic frog anatomy was administered to the students two days before and the posttest one day after their dissection experience. Data were analyzed using matched pairs t-Tests, Analysis of Variance, Tukey HSD, and Squared Curvilinear Coefficients. Survey questionnaires were administered to the teachers after the dissection experiences were completed. There were no significant differences found in achievement between the virtual and conventional dissection groups. There were significant differences found in achievement score means among the three ability levels. There was no significant interaction between gender and achievement. Perceptions of the teacher's facilitating the two instructional methods varied. The main area of agreement among them was that a virtual On-line frog dissection was a viable alternative for students who objected to doing a conventional dissection.
Weight loss practices among newly enrolling clients in a commercial weightloss program in Ghana.
Ayisi-Addo, Sandra; Ayisi-Addo, Stephen; Ohemeng, Agartha
2016-03-01
In Ghana, obesity is showing a rising trend and there are weight loss initiatives being practised by individuals. However, the levels of commitment to such programs and the reasons for discontinuing have not been assessed. The objectives of this study were to investigate the weight loss practices of participants and reasons for quitting chosen weight loss programs. This was a cross-sectional study involving 50 subjects conveniently selected from people who were enrolling into a commercial weight loss program. A questionnaire was used to collect data on past weight loss practices and reasons for abandoning chosen programs. Data analysis was conducted using simple frequency and descriptive tests of the Excel software. More than half of the subjects (66%) had undertaken a weight loss practice before enrolment in study. Of these, 88.5% abandoned the strategy before the achievement of their desired weight goal. The three common programs that were practised were internet based diets (67.9%), commercial weight loss shakes (42.9%) and exercises (28.6%). Reasons given for abandoning programs included lack of sustainability (50%), lack of determination on the part of the client (15%), boredom with program (10%), not achieving desired results (10%), safety concerns (10%), and getting pregnant (5%). The findings suggest that future weight loss programs can be effective and have reduced attrition rates if they are designed to achieve sustainable dietary and other lifestyle changes, as well as boost motivation for weight loss.
Preparing for Ethical Leadership: A Longitudinal Study
ERIC Educational Resources Information Center
Myers, Lewis A., Jr.
2015-01-01
According to Johnson (2001) and Rest (1979) a leader who has developed a high level of moral reasoning will tend to make decisions that are better from an ethical/moral perspective than a leader who has achieved a lower level of moral reasoning. The mission statement at this university states that graduates will be prepared through training in…
School Choice and Inequalities in Post-Apartheid South Africa
ERIC Educational Resources Information Center
Ndimande, Bekisizwe S.
2016-01-01
This paper examines the consequences of the new policies of school choice in post-apartheid South Africa and the reasons they have largely failed to achieve greater educational equality--their stated purpose. I argue that the dominant reason for this lies in the continuing inadequate resources of many poor schools and the failure to address them.…
Generalists, Specialists, and Academic Organization. ASHE Annual Meeting 1979 Paper.
ERIC Educational Resources Information Center
Bess, James L.
The reasons for the persistence of the academic department in research universities and its efficacy in achieving the typical goals of the institution are examined. Six reasons that the academic department in its present form persists as an organizational entity are: inertia, the high status of research, funding sources and access to them,…
ERIC Educational Resources Information Center
Royle, Jonathan
2013-01-01
The consistent underperformance of African American students casts a disparaging shadow on the success of American public schools. Research was necessary to understand the reason for such a difference in scores. Parents, teachers, and administrators must understand the reason for the gap in order to determine the strategies and support systems…
ERIC Educational Resources Information Center
Glass, Gene V.; Stephens, Beth
1980-01-01
Relationships among Piagetian reasoning assessments and standard measures of intelligence and achievement were determined in 1972 by Stephens, McLaughlin, Miller, and Glass (EJ 055 112). The data were reanalyzed by Humphreys and Parsons in 1979 (EJ 218 642). In reply, Glass and Stephens note fallacies in Humphreys' and Parsons' reasoning.…
IMG candidates' demographic characteristics as predictors of CEHPEA CE1 results
Nayer, Marla; Rothman, Arthur
2013-01-01
Objective To assess the extent to which demographic characteristics are related to international medical graduate (IMG) candidate performance on the Centre for the Evaluation of Health Professionals Educated Abroad General Comprehensive Clinical Examination 1 (CE1). Design Retrospective study. Setting Toronto, Ont. Participants All IMG candidates who registered for and took the CE1 in 2007 (n = 430), 2008 (n = 480), and 2009 (n = 472) were included in this analysis. All candidates completed the Centre for the Evaluation of Health Professionals Educated Abroad CE1, a 12-station objective structured clinical examination. Main outcome measures Mean (SD) examination scores for groups based on demographic variables (age, region of medical training, and Medical Council of Canada Qualifying Examination Part 1 [MCCQE1] score) were calculated. Analysis of variance was done using CE1 examination total scores as the dependent variables. Results Candidates from countries where both medical education and patient care are conducted in English and those from South America and Western Europe achieved the highest scores, while candidates from the Western Pacific region and Africa achieved the lowest scores. Younger candidates achieved higher scores than older candidates. These results were consistent across the 3 years of CE1 examination administration. There was a significant relationship between MCCQE1 and CE1 scores in 2 of the 3 years: 2007 (r = 0.218, P < .001) and 2008 (r = 0.23, P < .01). Conclusion The CE1 includes an assessment of communication skills; hence it is reasonable that candidates with stronger English skills have the highest scores on the CE1. Age, as a proxy for time since graduation, also has a substantial effect on examination scores, possibly owing to those further from their training lacking some currency of knowledge or being in focused rather than general practices. It is reasonable that those who had higher scores on the written test (the MCCQE1) would also have higher scores on the clinical test (the CE1). Demographic characteristics appear to be related to performance on the CE1. PMID:23418245
Fault Diagnosis Method for a Mine Hoist in the Internet of Things Environment.
Li, Juanli; Xie, Jiacheng; Yang, Zhaojian; Li, Junjie
2018-06-13
To reduce the difficulty of acquiring and transmitting data in mining hoist fault diagnosis systems and to mitigate the low efficiency and unreasonable reasoning process problems, a fault diagnosis method for mine hoisting equipment based on the Internet of Things (IoT) is proposed in this study. The IoT requires three basic architectural layers: a perception layer, network layer, and application layer. In the perception layer, we designed a collaborative acquisition system based on the ZigBee short distance wireless communication technology for key components of the mine hoisting equipment. Real-time data acquisition was achieved, and a network layer was created by using long-distance wireless General Packet Radio Service (GPRS) transmission. The transmission and reception platforms for remote data transmission were able to transmit data in real time. A fault diagnosis reasoning method is proposed based on the improved Dezert-Smarandache Theory (DSmT) evidence theory, and fault diagnosis reasoning is performed. Based on interactive technology, a humanized and visualized fault diagnosis platform is created in the application layer. The method is then verified. A fault diagnosis test of the mine hoisting mechanism shows that the proposed diagnosis method obtains complete diagnostic data, and the diagnosis results have high accuracy and reliability.
Kornreich, Charles; Delle-Vigne, Dyna; Knittel, Julian; Nerincx, Aurore; Campanella, Salvatore; Noel, Xavier; Hanak, Catherine; Verbanck, Paul; Ermer, Elsa
2011-05-01
To study the 'social brain' in alcoholics by investigating social contract reasoning, theory of mind and emotional intelligence. A behavioral study comparing recently detoxified alcoholics with normal, healthy controls. Emotional intelligence and decoding of emotional non-verbal cues have been shown to be impaired in alcoholics. This study explores whether these deficits extend to conditional reasoning about social contracts. Twenty-five recently detoxified alcoholics (17 men and eight women) were compared with 25 normal controls (17 men and eight women) matched for sex, age and education level. Wason selection task investigating conditional reasoning on three different rule types (social contract, precautionary and descriptive), revised Reading the Mind in the Eyes Test, Trait Emotional Intelligence Questionnaire (modified version) and additional control measures. Conditional reasoning was impaired in alcoholics. Performance on descriptive rules was not above chance. Reasoning performance was markedly better on social contract and precautionary rules, but this performance was still significantly lower than in controls. Several emotional intelligence measures were lower in alcoholics compared to controls, but these were not correlated with reasoning performance. Conditional reasoning, including reasoning about social contracts and emotional intelligence appear to be impaired in alcoholics. Impairment seems to be particularly severe on descriptive rules. Impairment in social contract reasoning might lead to misunderstandings and frustration in social interactions, and reasoning difficulties about precautionary rules might contribute to risky behaviors in this population. © 2011 The Authors, Addiction © 2011 Society for the Study of Addiction.
Expert-guided evolutionary algorithm for layout design of complex space stations
NASA Astrophysics Data System (ADS)
Qian, Zhiqin; Bi, Zhuming; Cao, Qun; Ju, Weiguo; Teng, Hongfei; Zheng, Yang; Zheng, Siyu
2017-08-01
The layout of a space station should be designed in such a way that different equipment and instruments are placed for the station as a whole to achieve the best overall performance. The station layout design is a typical nondeterministic polynomial problem. In particular, how to manage the design complexity to achieve an acceptable solution within a reasonable timeframe poses a great challenge. In this article, a new evolutionary algorithm has been proposed to meet such a challenge. It is called as the expert-guided evolutionary algorithm with a tree-like structure decomposition (EGEA-TSD). Two innovations in EGEA-TSD are (i) to deal with the design complexity, the entire design space is divided into subspaces with a tree-like structure; it reduces the computation and facilitates experts' involvement in the solving process. (ii) A human-intervention interface is developed to allow experts' involvement in avoiding local optimums and accelerating convergence. To validate the proposed algorithm, the layout design of one-space station is formulated as a multi-disciplinary design problem, the developed algorithm is programmed and executed, and the result is compared with those from other two algorithms; it has illustrated the superior performance of the proposed EGEA-TSD.
Glaucoma risk index: automated glaucoma detection from color fundus images.
Bock, Rüdiger; Meier, Jörg; Nyúl, László G; Hornegger, Joachim; Michelson, Georg
2010-06-01
Glaucoma as a neurodegeneration of the optic nerve is one of the most common causes of blindness. Because revitalization of the degenerated nerve fibers of the optic nerve is impossible early detection of the disease is essential. This can be supported by a robust and automated mass-screening. We propose a novel automated glaucoma detection system that operates on inexpensive to acquire and widely used digital color fundus images. After a glaucoma specific preprocessing, different generic feature types are compressed by an appearance-based dimension reduction technique. Subsequently, a probabilistic two-stage classification scheme combines these features types to extract the novel Glaucoma Risk Index (GRI) that shows a reasonable glaucoma detection performance. On a sample set of 575 fundus images a classification accuracy of 80% has been achieved in a 5-fold cross-validation setup. The GRI gains a competitive area under ROC (AUC) of 88% compared to the established topography-based glaucoma probability score of scanning laser tomography with AUC of 87%. The proposed color fundus image-based GRI achieves a competitive and reliable detection performance on a low-priced modality by the statistical analysis of entire images of the optic nerve head. Copyright (c) 2010 Elsevier B.V. All rights reserved.
Development of a smart type motor operated valve for nuclear power plants
NASA Astrophysics Data System (ADS)
Kim, Chang-Hwoi; Park, Joo-Hyun; Lee, Dong-young; Koo, In-Soo
2005-12-01
In this paper, the design concept of the smart type motor operator valve for nuclear power plant was described. The development objective of the smart valve is to achieve superior accuracy, long-term reliability, and ease of use. In this reasons, developed smart valve has fieldbus communication such as deviceNet and Profibus-DP, auto-tuning PID controller, self-diagnostics, and on-line calibration capabilities. And also, to achieve pressure, temperature, and flow control with internal PID controller, the pressure sensor and transmitter were included in this valve. And, temperature and flow signal acquisition port was prepared. The developed smart valve will be performed equipment qualification test such as environment, EMI/EMC, and vibration in Korea Test Lab. And, the valve performance is tested in a test loop which is located in Seoul National University Lab. To apply nuclear power plant, the software is being developed according to software life cycle. The developed software is verified by independent software V and V team. It is expected that the smart valve can be applied to an existing NPPs for replacing or to a new nuclear power plants. The design and fabrication of smart valve is now being processed.
Oh, Sun-A; Chung, Eun-Kyung; Han, Eui-Ryoung; Woo, Young-Jong; Kevin, Deiter
2016-03-01
This study was to explore the relationship between clinical performance examination (CPX) achievement and epistemological beliefs to investigate the potentials of epistemological beliefs in ill-structured medical problem solving tasks. We administered the epistemological beliefs questionnaire (EBQ) to fourth-year medical students and correlated the results with their CPX scores. The EBQ comprised 61 items reflecting five belief systems: certainty of knowledge, source of knowledge, rigidity of learning, ability to learn, and speed of knowledge acquisition. The CPX included scores for history taking, physical examination, and patient-physician interaction. The higher epistemological beliefs group obtained significantly higher scores on the CPX with regard to history taking and patient-physician interaction. The epistemological beliefs scores on certainty of knowledge and source of knowledge were significantly positively correlated with patient-physician interaction. The epistemological beliefs scores for ability to learn were significantly positively correlated with those for history taking, physical examination, and patient-physician interaction. Students with more sophisticated and advanced epistemological beliefs stances used more comprehensive and varied approaches in the patient-physician interaction. Therefore, educational efforts that encourage discussions pertaining to epistemological views should be considered to improve clinical reasoning and problem-solving competence in the clinic setting.
Reinforcement learning for resource allocation in LEO satellite networks.
Usaha, Wipawee; Barria, Javier A
2007-06-01
In this paper, we develop and assess online decision-making algorithms for call admission and routing for low Earth orbit (LEO) satellite networks. It has been shown in a recent paper that, in a LEO satellite system, a semi-Markov decision process formulation of the call admission and routing problem can achieve better performance in terms of an average revenue function than existing routing methods. However, the conventional dynamic programming (DP) numerical solution becomes prohibited as the problem size increases. In this paper, two solution methods based on reinforcement learning (RL) are proposed in order to circumvent the computational burden of DP. The first method is based on an actor-critic method with temporal-difference (TD) learning. The second method is based on a critic-only method, called optimistic TD learning. The algorithms enhance performance in terms of requirements in storage, computational complexity and computational time, and in terms of an overall long-term average revenue function that penalizes blocked calls. Numerical studies are carried out, and the results obtained show that the RL framework can achieve up to 56% higher average revenue over existing routing methods used in LEO satellite networks with reasonable storage and computational requirements.
ACTS: from ATLAS software towards a common track reconstruction software
NASA Astrophysics Data System (ADS)
Gumpert, C.; Salzburger, A.; Kiehn, M.; Hrdinka, J.; Calace, N.; ATLAS Collaboration
2017-10-01
Reconstruction of charged particles’ trajectories is a crucial task for most particle physics experiments. The high instantaneous luminosity achieved at the LHC leads to a high number of proton-proton collisions per bunch crossing, which has put the track reconstruction software of the LHC experiments through a thorough test. Preserving track reconstruction performance under increasingly difficult experimental conditions, while keeping the usage of computational resources at a reasonable level, is an inherent problem for many HEP experiments. Exploiting concurrent algorithms and using multivariate techniques for track identification are the primary strategies to achieve that goal. Starting from current ATLAS software, the ACTS project aims to encapsulate track reconstruction software into a generic, framework- and experiment-independent software package. It provides a set of high-level algorithms and data structures for performing track reconstruction tasks as well as fast track simulation. The software is developed with special emphasis on thread-safety to support parallel execution of the code and data structures are optimised for vectorisation to speed up linear algebra operations. The implementation is agnostic to the details of the detection technologies and magnetic field configuration which makes it applicable to many different experiments.
Using AberOWL for fast and scalable reasoning over BioPortal ontologies.
Slater, Luke; Gkoutos, Georgios V; Schofield, Paul N; Hoehndorf, Robert
2016-08-08
Reasoning over biomedical ontologies using their OWL semantics has traditionally been a challenging task due to the high theoretical complexity of OWL-based automated reasoning. As a consequence, ontology repositories, as well as most other tools utilizing ontologies, either provide access to ontologies without use of automated reasoning, or limit the number of ontologies for which automated reasoning-based access is provided. We apply the AberOWL infrastructure to provide automated reasoning-based access to all accessible and consistent ontologies in BioPortal (368 ontologies). We perform an extensive performance evaluation to determine query times, both for queries of different complexity and for queries that are performed in parallel over the ontologies. We demonstrate that, with the exception of a few ontologies, even complex and parallel queries can now be answered in milliseconds, therefore allowing automated reasoning to be used on a large scale, to run in parallel, and with rapid response times.
Jakobsson, Hugo; Farmaki, Katerina; Sakinis, Augustinas; Ehn, Olof; Johannsson, Gudmundur; Ragnarsson, Oskar
2018-01-01
Primary aldosteronism (PA) is a common cause of secondary hypertension. Adrenal venous sampling (AVS) is the gold standard for assessing laterality of PA, which is of paramount importance to decide adequate treatment. AVS is a technically complicated procedure with success rates ranging between 30% and 96%. The aim of this study was to investigate the success rate of AVS over time, performed by a single interventionalist. This was a retrospective study based on consecutive AVS procedures performed by a single operator between September 2005 and June 2016. Data on serum concentrations of aldosterone and cortisol from right and left adrenal vein, inferior vena cava, and peripheral vein were collected and selectivity index (SI) calculated. Successful AVS was defined as SI > 5. In total, 282 AVS procedures were performed on 269 patients, 168 men (62%) and 101 women (38%), with a mean age of 55±11 years (range, 26-78 years). Out of 282 AVS procedures, 259 were successful, giving an overall success rate of 92%. The most common reason for failure was inability to localize the right adrenal vein (n=16; 76%). The success rates were 63%, 82%, and 94% during the first, second, and third years, respectively. During the last 8 years the success rate was 95%, and on average 27 procedures were performed annually. Satisfactory AVS success rate was achieved after approximately 36 procedures and satisfactory success rate was maintained by performing approximately 27 procedures annually. AVS should be limited to few operators that perform sufficiently large number of procedures to achieve, and maintain, satisfactory AVS success rate.
The Effect of Community Linguistic Isolation on Language-Minority Student Achievement in High School
ERIC Educational Resources Information Center
Drake, Timothy Arthur
2014-01-01
Research on language-minority student outcomes has revealed sizeable and persistent achievement gaps. The reasons for these gaps are often closely linked with other factors related to underperformance, including generational status, race/ethnicity, and socioeconomic status. Using sociocultural second-language acquisition theories and community…
Achievement against the Odds: The Female Secondary Headteachers in England and Wales.
ERIC Educational Resources Information Center
Coleman, Marianne
2001-01-01
Examines reasons for the paucity of female secondary headteachers, employing a large-scale survey of all English and Welsh secondary principals that achieved a 70 percent response rate. Considers demographic characteristics, work constraints associated with domestic commitments, and overt and covert discrimination factors. High discrimination…
Multi-Agent Flight Simulation with Robust Situation Generation
NASA Technical Reports Server (NTRS)
Johnson, Eric N.; Hansman, R. John, Jr.
1994-01-01
A robust situation generation architecture has been developed that generates multi-agent situations for human subjects. An implementation of this architecture was developed to support flight simulation tests of air transport cockpit systems. This system maneuvers pseudo-aircraft relative to the human subject's aircraft, generating specific situations for the subject to respond to. These pseudo-aircraft maneuver within reasonable performance constraints, interact in a realistic manner, and make pre-recorded voice radio communications. Use of this system minimizes the need for human experimenters to control the pseudo-agents and provides consistent interactions between the subject and the pseudo-agents. The achieved robustness of this system to typical variations in the subject's flight path was explored. It was found to successfully generate specific situations within the performance limitations of the subject-aircraft, pseudo-aircraft, and the script used.
NASA Technical Reports Server (NTRS)
Bailey, David H.; Chancellor, Marisa K. (Technical Monitor)
1997-01-01
With programs such as the US High Performance Computing and Communications Program (HPCCP), the attention of scientists and engineers worldwide has been focused on the potential of very high performance scientific computing, namely systems that are hundreds or thousands of times more powerful than those typically available in desktop systems at any given point in time. Extending the frontiers of computing in this manner has resulted in remarkable advances, both in computing technology itself and also in the various scientific and engineering disciplines that utilize these systems. Within the month or two, a sustained rate of 1 Tflop/s (also written 1 teraflops, or 10(exp 12) floating-point operations per second) is likely to be achieved by the 'ASCI Red' system at Sandia National Laboratory in New Mexico. With this objective in sight, it is reasonable to ask what lies ahead for high-end computing.
Applying the lessons of high risk industries to health care.
Hudson, P
2003-12-01
High risk industries such as commercial aviation and the oil and gas industry have achieved exemplary safety performance. This paper reviews how they have managed to do that. The primary reasons are the positive attitudes towards safety and the operation of effective formal safety management systems. The safety culture provides an important explanation of why such organisations perform well. An evolutionary model of safety culture is provided in which there is a range of cultures from the pathological through the reactive to the calculative. Later, the proactive culture can evolve towards the generative organisation, an alternative description of the high reliability organisation. The current status of health care is reviewed, arguing that it has a much higher level of accidents and has a reactive culture, lagging behind both high risk industries studied in both attitude and systematic management of patient risks.
ERIC Educational Resources Information Center
Durning, Steven J.; Artino, Anthony R.; Boulet, John R.; Dorrance, Kevin; van der Vleuten, Cees; Schuwirth, Lambert
2012-01-01
Context specificity, or the variation in a participant's performance from one case, or situation, to the next, is a recognized problem in medical education. However, studies have not explored the potential reasons for context specificity in experts using the lens of situated cognition and cognitive load theories (CLT). Using these theories, we…
Reading instead of reasoning? Predictors of arithmetic skills in children with cochlear implants.
Huber, Maria; Kipman, Ulrike; Pletzer, Belinda
2014-07-01
The aim of the present study was to evaluate whether the arithmetic achievement of children with cochlear implants (CI) was lower or comparable to that of their normal hearing peers and to identify predictors of arithmetic achievement in children with CI. In particular we related the arithmetic achievement of children with CI to nonverbal IQ, reading skills and hearing variables. 23 children with CI (onset of hearing loss in the first 24 months, cochlear implantation in the first 60 months of life, atleast 3 years of hearing experience with the first CI) and 23 normal hearing peers matched by age, gender, and social background participated in this case control study. All attended grades two to four in primary schools. To assess their arithmetic achievement, all children completed the "Arithmetic Operations" part of the "Heidelberger Rechentest" (HRT), a German arithmetic test. To assess reading skills and nonverbal intelligence as potential predictors of arithmetic achievement, all children completed the "Salzburger Lesetest" (SLS), a German reading screening, and the Culture Fair Intelligence Test (CFIT), a nonverbal intelligence test. Children with CI did not differ significantly from hearing children in their arithmetic achievement. Correlation and regression analyses revealed that in children with CI, arithmetic achievement was significantly (positively) related to reading skills, but not to nonverbal IQ. Reading skills and nonverbal IQ were not related to each other. In normal hearing children, arithmetic achievement was significantly (positively) related to nonverbal IQ, but not to reading skills. Reading skills and nonverbal IQ were positively correlated. Hearing variables were not related to arithmetic achievement. Children with CI do not show lower performance in non-verbal arithmetic tasks, compared to normal hearing peers. Copyright © 2014. Published by Elsevier Ireland Ltd.
Mull, Hillary J; Graham, Laura A; Morris, Melanie S; Rosen, Amy K; Richman, Joshua S; Whittle, Jeffery; Burns, Edith; Wagner, Todd H; Copeland, Laurel A; Wahl, Tyler; Jones, Caroline; Hollis, Robert H; Itani, Kamal M F; Hawn, Mary T
2018-04-18
Postoperative readmission data are used to measure hospital performance, yet the extent to which these readmissions reflect surgical quality is unknown. To establish expert consensus on whether reasons for postoperative readmission are associated with the quality of surgery in the index admission. In a modified Delphi process, a panel of 14 experts in medical and surgical readmissions comprising physicians and nonphysicians from Veterans Affairs (VA) and private-sector institutions reviewed 30-day postoperative readmissions from fiscal years 2008 through 2014 associated with inpatient surgical procedures performed at a VA medical center between October 1, 2007, and September 30, 2014. The consensus process was conducted from January through May 2017. Reasons for readmission were grouped into categories based on International Classification of Diseases, Ninth Revision (ICD-9) diagnosis codes. Panelists were given the proportion of readmissions coded by each reason and median (interquartile range) days to readmission. They answered the question, "Does the readmission reason reflect possible surgical quality of care problems in the index admission?" on a scale of 1 (never related) to 5 (directly related) in 3 rounds of consensus building. The consensus process was completed in May 2017 and data were analyzed in June 2017. Consensus on proportion of ICD-9-coded readmission reasons that reflected quality of surgical procedure. In 3 Delphi rounds, the 14 panelists achieved consensus on 50 reasons for readmission; 12 panelists also completed group telephone calls between rounds 1 and 2. Readmissions with diagnoses of infection, sepsis, pneumonia, hemorrhage/hematoma, anemia, ostomy complications, acute renal failure, fluid/electrolyte disorders, or venous thromboembolism were considered associated with surgical quality and accounted for 25 521 of 39 664 readmissions (64% of readmissions; 7.5% of 340 858 index surgical procedures). The proportion of readmissions considered to be not associated with surgical quality varied by procedure, ranging from to 21% (613 of 2331) of readmissions after lower-extremity amputations to 47% (745 of 1598) of readmissions after cholecystectomy. One-third of postoperative readmissions are unlikely to reflect problems with surgical quality. Future studies should test whether restricting readmissions to those with specific ICD-9 codes might yield a more useful quality measure.
Teacher Pedagogical Content Knowledge (PCK) and Students’ Reasoning and Wellbeing
NASA Astrophysics Data System (ADS)
Widodo, A.
2017-02-01
This paper summarizes findings of a study on efforts to improve teachers Pedagogical Content Knowledge and how it affects students’ reasoning and wellbeing. It was found that improvement of teachers’ PCK was not very strong but we managed to develop strategies to facilitate their developments. In the second year, the research was focused on identifying students’ reasoning skills both informal reasoning and formal reasoning. Data showed that students reasoning is relatively low (level 2 of five levels) and they could not construct highly coherence arguments. In addition alternative strategies to promote students’ reasoning were explored. Attempts to support teachers to conduct lessons that facilitate students’ reasoning found that teachers need intensive and continuous support. The study also identifies students’ wellbeing as the impact of improvement of lessons and other activities designed to improve students’ wellbeing. Research on students’ wellbeing is not yet given attention in Indonesian schools although it plays very important roles in students’ academic and nonacademic achievements.
Performance appraisal & promotion process: A measured approach
NASA Astrophysics Data System (ADS)
Kumar, Jitendra
2012-06-01
Most of the companies have yearly performance appraisal process for their employees. This process involves rating of employees by their manager. And Companies rely purely on managerís state of thinking and perception. Humans have tendency to become biased, corrupt, give favor to some employees whom they like. This favor is due to some other reasons e.g. personal reason, social reason, political reason, flattering. All these reasons are not related to the work that the employee is doing for the organization.
Auer, Reto; Gencer, Baris; Räber, Lorenz; Klingenberg, Roland; Carballo, Sebastian; Carballo, David; Nanchen, David; Cornuz, Jacques; Vader, John-Paul; Vogt, Pierre; Jüni, Peter; Matter, Christian M; Windecker, Stephan; Lüscher, Thomas Felix; Mach, François; Rodondi, Nicolas
2014-01-01
Adherence to guidelines is associated with improved outcomes of patients with acute coronary syndrome (ACS). Clinical registries developed to assess quality of care at discharge often do not collect the reasons for non-prescription for proven efficacious preventive medication in Continental Europe. In a prospective cohort of patients hospitalized for an ACS, we aimed at measuring the rate of recommended treatment at discharge, using pre-specified quality indicators recommended in cardiologic guidelines and including systematic collection of reasons for non-prescription for preventive medications. In a prospective cohort with 1260 patients hospitalized for ACS, we measured the rate of recommended treatment at discharge in 4 academic centers in Switzerland. Performance measures for medication at discharge were pre-specified according to guidelines, systematically collected for all patients and included in a centralized database. Six hundred and eighty eight patients(54.6%) were discharged with a main diagnosis of STEMI, 491(39%) of NSTEMI and 81(6.4%) of unstable angina. Mean age was 64 years and 21.3% were women. 94.6% were prescribed angiotensin converting enzyme inhibitors/angiotensin II receptor blockers at discharge when only considering raw prescription rates, but increased to 99.5% when including reasons non-prescription. For statins, rates increased from 98% to 98.6% when including reasons for non-prescription and for beta-blockers, from 82% to 93%. For aspirin, rates further increased from 99.4% to 100% and from to 99.8% to 100% for P2Y12 inhibitors. We found a very high adherence to ACS guidelines for drug prescriptions at discharge when including reasons for non-prescription to drug therapy. For beta-blockers, prescription rates were suboptimal, even after taking into account reason for non-prescription. In an era of improving quality of care to achieve 100% prescription rates at discharge unless contra-indicated, pre-specification of reasons for non-prescription for cardiovascular preventive medication permits to identify remaining gaps in quality of care at discharge. ClinicalTrials.gov NCT01000701.
ERIC Educational Resources Information Center
Elizondo, Jodi L.
2016-01-01
Schools exist for the sole purpose of academic achievement, and within every school exists a unique culture that every student navigates and absorbs. It is reasonable to assume a student's environment and the expectations set forth in that environment may have an effect on their academic achievement. The purpose of this study was to determine the…
A comprehensive test of clinical reasoning for medical students: An olympiad experience in Iran.
Monajemi, Alireza; Arabshahi, Kamran Soltani; Soltani, Akbar; Arbabi, Farshid; Akbari, Roghieh; Custers, Eugene; Hadadgar, Arash; Hadizadeh, Fatemeh; Changiz, Tahereh; Adibi, Peyman
2012-01-01
Although some tests for clinical reasoning assessment are now available, the theories of medical expertise have not played a major role in this filed. In this paper, illness script theory was chose as a theoretical framework and contemporary clinical reasoning tests were put together based on this theoretical model. This paper is a qualitative study performed with an action research approach. This style of research is performed in a context where authorities focus on promoting their organizations' performance and is carried out in the form of teamwork called participatory research. Results are presented in four parts as basic concepts, clinical reasoning assessment, test framework, and scoring. we concluded that no single test could thoroughly assess clinical reasoning competency, and therefore a battery of clinical reasoning tests is needed. This battery should cover all three parts of clinical reasoning process: script activation, selection and verification. In addition, not only both analytical and non-analytical reasoning, but also both diagnostic and management reasoning should evenly take into consideration in this battery. This paper explains the process of designing and implementing the battery of clinical reasoning in the Olympiad for medical sciences students through an action research.
Wong, Stanley K; Ramirez, Juan R; Helf, Scott C
2009-11-01
The effect of a variety of preadmission variables, including the number of elective preadmission upper-level science courses, on academic achievement is not well established. To investigate the relationship between number of preadmission variables and overall student academic achievement in osteopathic medical school. Academic records of osteopathic medical students in the 2008 and 2009 graduating classes of Western University of Health Sciences College of Osteopathic Medicine of the Pacific in Pomona, California, were analyzed. Multivariate linear regression analyses were performed to identify predictors of academic achievement based on Medical College Admission Test (MCAT) subscores, undergraduate grade point average (GPA), GPA in medical school basic science (preclinical GPA) and clinical clerkship (clinical GPA), and scores on the Comprehensive Osteopathic Medical Licensing Examination-USA (COMLEX-USA) Level 1 and Level 2-Cognitive Evaluation (CE). Records of 358 osteopathic medical students were evaluated. Analysis of beta coefficients suggested that undergraduate science GPA was the most important predictor of overall student academic achievement (P<.01). Biological sciences MCAT subscore was a more modest but still statistically significant predictor of preclinical GPA and COMLEX-USA Level 1 score (P<.01). Physical sciences MCAT subscore was also a statistically significant predictor of preclinical GPA, and verbal reasoning MCAT subscore was a statistically significant predictor of COMLEX-USA Level 2-CE score (both P<.01). Women had statistically significantly higher preclinical GPA and COMLEX-USA Level 2-CE scores than men (P<.05). Differences in some outcome variables were also associated with racial-ethnic background and age. Number of preadmission elective upper-level science courses taken by students before matriculation was not significantly correlated with any academic achievement variable. Although undergraduate science GPA and MCAT biological sciences subscore were significant predictors of overall academic achievement for osteopathic medical students, the number of elective upper-level science courses taken preadmission had no predictive value.
Deane, Richard P; Joyce, Pauline; Murphy, Deirdre J
2015-10-09
Team Objective Structured Bedside Assessment (TOSBA) is a learning approach in which a team of medical students undertake a set of structured clinical tasks with real patients in order to reach a diagnosis and formulate a management plan and receive immediate feedback on their performance from a facilitator. TOSBA was introduced as formative assessment to an 8-week undergraduate teaching programme in Obstetrics and Gynaecology (O&G) in 2013/14. Each student completed 5 TOSBA sessions during the rotation. The aim of the study was to evaluate TOSBA as a teaching method to provide formative assessment for medical students during their clinical rotation. The research questions were: Does TOSBA improve clinical, communication and/or reasoning skills? Does TOSBA provide quality feedback? A prospective cohort study was conducted over a full academic year (2013/14). The study used 2 methods to evaluate TOSBA as a teaching method to provide formative assessment: (1) an online survey of TOSBA at the end of the rotation and (2) a comparison of the student performance in TOSBA with their performance in the final summative examination. During the 2013/14 academic year, 157 students completed the O&G programme and the final summative examination . Each student completed the required 5 TOSBA tasks. The response rate to the student survey was 68 % (n = 107/157). Students reported that TOSBA was a beneficial learning experience with a positive impact on clinical, communication and reasoning skills. Students rated the quality of feedback provided by TOSBA as high. Students identified the observation of the performance and feedback of other students within their TOSBA team as key features. High achieving students performed well in both TOSBA and summative assessments. The majority of students who performed poorly in TOSBA subsequently passed the summative assessments (n = 20/21, 95 %). Conversely, the majority of students who failed the summative assessments had satisfactory scores in TOSBA (n = 6/7, 86 %). TOSBA has a positive impact on the clinical, communication and reasoning skills of medical students through the provision of high-quality feedback. The use of structured pre-defined tasks, the observation of the performance and feedback of other students and the use of real patients are key elements of TOSBA. Avoiding student complacency and providing accurate feedback from TOSBA are on-going challenges.
Practical Framework: Implementing OEE Method in Manufacturing Process Environment
NASA Astrophysics Data System (ADS)
Maideen, N. C.; Sahudin, S.; Mohd Yahya, N. H.; Norliawati, A. O.
2016-02-01
Manufacturing process environment requires reliable machineries in order to be able to satisfy the market demand. Ideally, a reliable machine is expected to be operated and produce a quality product at its maximum designed capability. However, due to some reason, the machine usually unable to achieved the desired performance. Since the performance will affect the productivity of the system, a measurement technique should be applied. Overall Equipment Effectiveness (OEE) is a good method to measure the performance of the machine. The reliable result produced from OEE can then be used to propose a suitable corrective action. There are a lot of published paper mentioned about the purpose and benefit of OEE that covers what and why factors. However, the how factor not yet been revealed especially the implementation of OEE in manufacturing process environment. Thus, this paper presents a practical framework to implement OEE and a case study has been discussed to explain in detail each steps proposed. The proposed framework is beneficial to the engineer especially the beginner to start measure their machine performance and later improve the performance of the machine.
Oswald, Tasha M; Beck, Jonathan S; Iosif, Ana-Maria; McCauley, James B; Gilhooly, Leslie J; Matter, John C; Solomon, Marjorie
2016-04-01
Mathematics achievement in autism spectrum disorder (ASD) has been understudied. However, the ability to solve applied math problems is associated with academic achievement, everyday problem-solving abilities, and vocational outcomes. The paucity of research on math achievement in ASD may be partly explained by the widely-held belief that most individuals with ASD are mathematically gifted, despite emerging evidence to the contrary. The purpose of the study was twofold: to assess the relative proportions of youth with ASD who demonstrate giftedness versus disability on applied math problems, and to examine which cognitive (i.e., perceptual reasoning, verbal ability, working memory) and clinical (i.e., test anxiety) characteristics best predict achievement on applied math problems in ASD relative to typically developing peers. Twenty-seven high-functioning adolescents with ASD and 27 age- and Full Scale IQ-matched typically developing controls were assessed on standardized measures of math problem solving, perceptual reasoning, verbal ability, and test anxiety. Results indicated that 22% of the ASD sample evidenced a mathematics learning disability, while only 4% exhibited mathematical giftedness. The parsimonious linear regression model revealed that the strongest predictor of math problem solving was perceptual reasoning, followed by verbal ability and test anxiety, then diagnosis of ASD. These results inform our theories of math ability in ASD and highlight possible targets of intervention for students with ASD struggling with mathematics. © 2015 International Society for Autism Research, Wiley Periodicals, Inc.
ERIC Educational Resources Information Center
DeLay, Dawn; Laursen, Brett; Kiuru, Noona; Poikkeus, Anna-Maija; Aunola, Kaisa
2016-01-01
This study investigated friend influence over mathematics achievement in 202 same-sex friendship dyads (106 girl dyads). Participants were in the third grade (around age 9) at the outset. Each friend completed a questionnaire describing interest in mathematics and a standardized mathematical reasoning assessment. Peer nominations provided a…
ERIC Educational Resources Information Center
Young, Debra Hunt
2010-01-01
The indicators and predictors of dropout as documented in the literature are vast and encompass influences such as family, motivation, socio-economic status, and academic achievement, and could be accepted as universal reasons students choose to leave school and not return. This qualitative study investigated the reasons why students in one West…
Focusing Light Beams To Improve Atomic-Vapor Optical Buffers
NASA Technical Reports Server (NTRS)
Strekalov, Dmitry; Matsko, Andrey; Savchenkov, Anatoliy
2010-01-01
Specially designed focusing of light beams has been proposed as a means of improving the performances of optical buffers based on cells containing hot atomic vapors (e.g., rubidium vapor). There is also a companion proposal to improve performance by use of incoherent optical pumping under suitable conditions. Regarding the proposal to use focusing: The utility of atomic-vapor optical buffers as optical storage and processing devices has been severely limited by nonuniform spatial distributions of intensity in optical beams, arising from absorption of the beams as they propagate in atomic-vapor cells. Such nonuniformity makes it impossible to optimize the physical conditions throughout a cell, thereby making it impossible to optimize the performance of the cell as an optical buffer. In practical terms simplified for the sake of brevity, "to optimize" as used here means to design the cell so as to maximize the group delay of an optical pulse while keeping the absorption and distortion of the pulse reasonably small. Regarding the proposal to use incoherent optical pumping: For reasons too complex to describe here, residual absorption of light is one of the main impediments to achievement of desirably long group delays in hot atomic vapors. The present proposal is directed toward suppressing residual absorption of light. The idea of improving the performance of slow-light optical buffers by use of incoherent pumping overlaps somewhat with the basic idea of Raman-based slow-light systems. However, prior studies of those systems did not quantitatively answer the question of whether the performance of an atomic vapor or other medium that exhibits electromagnetically induced transparency (EIT) with Raman gain is superior to that of a medium that exhibits EIT without Raman gain.
Tsujii, Takeo; Watanabe, Shigeru
2009-09-01
Recent dual-process reasoning theories have explained the belief-bias effect, the tendency for human reasoning to be erroneously biased when logical conclusions are incongruent with beliefs about the world, by proposing a belief-based automatic heuristic system and logic-based demanding analytic system. Although these claims are supported by the behavioral finding that high-load secondary tasks enhance the belief-bias effect, the neural correlates of dual-task reasoning remain unknown. The present study therefore examined the relationship between dual-task effect and activity in the inferior frontal cortex (IFC) during belief-bias reasoning by near-infrared spectroscopy (NIRS). Forty-eight subjects participated in this study (MA=23.46 years). They were required to perform congruent and incongruent reasoning trials while responding to high- and low-load secondary tasks. Behavioral analysis showed that the high-load secondary task impaired only incongruent reasoning performance. NIRS analysis found that the high-load secondary task decreased right IFC activity during incongruent trials. Correlation analysis showed that subjects with enhanced right IFC activity could perform better in the incongruent reasoning trials, though subjects for whom right IFC activity was impaired by the secondary task could not maintain better reasoning performance. These findings suggest that the right IFC may be responsible for the dual-task effect in conflicting reasoning processes. When secondary tasks impair right IFC activity, subjects may rely on the automatic heuristic system, which results in belief-bias responses. We therefore offer the first demonstration of neural correlates of dual-task effect on IFC activity in belief-bias reasoning.
Deontic reasoning as a target of selection: reply to Astington and Dack.
Cummins, Denise Dellarosa
2013-12-01
In their discussion of young children's deontic reasoning performance, Astington and Dack (2013) made the following claims: (1) Children need more cues to elicit cogent social norm reasoning than adults require, namely, explicit reference to authority; (2) Deontic reasoning improves with age, and this is evidence against a nativist view; (3) All evolutionary explanations of deontic reasoning advantages require positing a ''domain-specific deontic reasoning module."; and (4) young children excel at deontic reasoning because it is easier. Here, I refute each claim. Instead, I argue that (1) Social norm reasoning is one type of deontic reasoning that has been the target of selective pressure; (2) Development does not preclude nativism; (3) Epistemic utterances make no greater processing demands than deontic utterances; and (4) both adult and child norm reasoning performance is strongly influenced by reference to or implication of authority. Copyright © 2013 Elsevier Inc. All rights reserved.
The interaction of representation and reasoning.
Bundy, Alan
2013-09-08
Automated reasoning is an enabling technology for many applications of informatics. These applications include verifying that a computer program meets its specification; enabling a robot to form a plan to achieve a task and answering questions by combining information from diverse sources, e.g. on the Internet, etc. How is automated reasoning possible? Firstly, knowledge of a domain must be stored in a computer, usually in the form of logical formulae. This knowledge might, for instance, have been entered manually, retrieved from the Internet or perceived in the environment via sensors, such as cameras. Secondly, rules of inference are applied to old knowledge to derive new knowledge. Automated reasoning techniques have been adapted from logic, a branch of mathematics that was originally designed to formalize the reasoning of humans, especially mathematicians. My special interest is in the way that representation and reasoning interact. Successful reasoning is dependent on appropriate representation of both knowledge and successful methods of reasoning. Failures of reasoning can suggest changes of representation. This process of representational change can also be automated. We will illustrate the automation of representational change by drawing on recent work in my research group.
Reasoning and dyslexia: is visual memory a compensatory resource?
Bacon, Alison M; Handley, Simon J
2014-11-01
Effective reasoning is fundamental to problem solving and achievement in education and employment. Protocol studies have previously suggested that people with dyslexia use reasoning strategies based on visual mental representations, whereas non-dyslexics use abstract verbal strategies. This research presents converging evidence from experimental and individual differences perspectives. In Experiment 1, dyslexic and non-dyslexic participants were similarly accurate on reasoning problems, but scores on a measure of visual memory ability only predicted reasoning accuracy for dyslexics. In Experiment 2, a secondary task loaded visual memory resources during concurrent reasoning. Dyslexics were significantly less accurate when reasoning under conditions of high memory load and showed reduced ability to subsequently recall the visual stimuli, suggesting that the memory and reasoning tasks were competing for the same visual cognitive resource. The results are consistent with an explanation based on limitations in the verbal and executive components of working memory in dyslexia and the use of compensatory visual strategies for reasoning. There are implications for cognitive activities that do not readily support visual thinking, whether in education, employment or less formal everyday settings. Copyright © 2014 John Wiley & Sons, Ltd.
NASA Astrophysics Data System (ADS)
Ayalon, Michal; Watson, Anne; Lerman, Steve
2016-09-01
This study examines expressions of reasoning by some higher achieving 11 to 18 year-old English students responding to a survey consisting of function tasks developed in collaboration with their teachers. We report on 70 students, 10 from each of English years 7-13. Iterative and comparative analysis identified capabilities and difficulties of students and suggested conjectures concerning links between the affordances of the tasks, the curriculum, and students' responses. The paper focuses on five of the survey tasks and highlights connections between informal and formal expressions of reasoning about variables in learning. We introduce the notion of `schooled' expressions of reasoning, neither formal nor informal, to emphasise the role of the formatting tools introduced in school that shape future understanding and reasoning.
Developmental dyscalculia and low numeracy in Chinese children.
Chan, Winnie Wai Lan; Au, Terry K; Tang, Joey
2013-05-01
Children struggle with mathematics for different reasons. Developmental dyscalculia and low numeracy - two kinds of mathematical difficulties - may have their roots, respectively, in poor understanding of exact non-symbolic numerosities and of symbolic numerals. This study was the first to explore whether Chinese children, despite cultural and linguistic factors supporting their mathematical learning, also showed such mathematical difficulties and whether such difficulties have measurable impact on children's early school mathematical performance. First-graders, classified as dyscalculia, low numeracy, or normal achievement, were compared for their performance in various school mathematical tasks requiring a grasp of non-symbolic numerosities (i.e., non-symbolic tasks) or an understanding of symbolic numerals (i.e., symbolic tasks). Children with dyscalculia showed poorer performance than their peers in non-symbolic tasks but not symbolic ones, whereas those with low numeracy showed poorer performance in symbolic tasks but not non-symbolic ones. As hypothesized, these findings suggested that dyscalculia and low numeracy were distinct deficits and caused by deficits in non-symbolic and symbolic processing, respectively. These findings went beyond prior research that only documented generally low mathematical achievements for these two groups of children. Moreover, these deficits appeared to be persistent and could not be remedied simply through day-to-day school mathematical learning. The present findings highlighted the importance of tailoring early learning support for children with these distinct deficits, and pointed to future directions for the screening of such mathematical difficulties among Chinese children. Copyright © 2013 Elsevier Ltd. All rights reserved.
EEG datasets for motor imagery brain-computer interface.
Cho, Hohyun; Ahn, Minkyu; Ahn, Sangtae; Kwon, Moonyoung; Jun, Sung Chan
2017-07-01
Most investigators of brain-computer interface (BCI) research believe that BCI can be achieved through induced neuronal activity from the cortex, but not by evoked neuronal activity. Motor imagery (MI)-based BCI is one of the standard concepts of BCI, in that the user can generate induced activity by imagining motor movements. However, variations in performance over sessions and subjects are too severe to overcome easily; therefore, a basic understanding and investigation of BCI performance variation is necessary to find critical evidence of performance variation. Here we present not only EEG datasets for MI BCI from 52 subjects, but also the results of a psychological and physiological questionnaire, EMG datasets, the locations of 3D EEG electrodes, and EEGs for non-task-related states. We validated our EEG datasets by using the percentage of bad trials, event-related desynchronization/synchronization (ERD/ERS) analysis, and classification analysis. After conventional rejection of bad trials, we showed contralateral ERD and ipsilateral ERS in the somatosensory area, which are well-known patterns of MI. Finally, we showed that 73.08% of datasets (38 subjects) included reasonably discriminative information. Our EEG datasets included the information necessary to determine statistical significance; they consisted of well-discriminated datasets (38 subjects) and less-discriminative datasets. These may provide researchers with opportunities to investigate human factors related to MI BCI performance variation, and may also achieve subject-to-subject transfer by using metadata, including a questionnaire, EEG coordinates, and EEGs for non-task-related states. © The Authors 2017. Published by Oxford University Press.
Alecu, Ionut M.; Stan, Andrada R.; Alecu, Marius; Ciura, Andrei; Hansen, Jeremy M.; Alecu, Rodica
2007-01-01
An effective patient quality assurance (QA) program for intensity‐modulated radiation therapy (IMRT) requires accurate and realistic plan acceptance criteria—that is, action limits. Based on dose measurements performed with a commercially available two‐dimensional (2D) diode array, we analyzed 747 fluence maps resulting from a routine patient QA program for IMRT plans. The fluence maps were calculated by three different commercially available (ADAC, CMS, Eclipse) treatment planning systems (TPSs) and were delivered using 6‐MV X‐ray beams produced by linear accelerators. To establish reasonably achievable and clinically acceptable limits for the dose deviations, the agreement between the measured and calculated fluence maps was evaluated in terms of percent dose error (PDE) for a few points and percent of passing points (PPP) for the isodose distribution. The analysis was conducted for each TPS used in the study (365 ADAC, 162 CMS, 220 Eclipse), for multiple treatment sites (prostate, pelvis, head and neck, spine, rectum, anus, lung, brain), at the normalization point for 3% percentage difference (%Diff) and 3‐mm distance to agreement (DTA) criteria. We investigated the treatment‐site dependency of PPP and PDE. The results show that, at 3% and 3‐mm criteria, a 95% PPP and 3% PDE can be achieved for prostate treatments and a 90% PPP and 5% PDE are attainable for any treatment site. PACS Numbers: 87.53Dq, 87.53Tf, 87.53Xd, 87.56Fc PMID:17592459
A Structural Equation Model Explaining 8th Grade Students' Mathematics Achievements
ERIC Educational Resources Information Center
Yurt, Eyüp; Sünbül, Ali Murat
2014-01-01
The purpose of this study is to investigate, via a model, the explanatory and predictive relationships among the following variables: Mathematical Problem Solving and Reasoning Skills, Sources of Mathematics Self-Efficacy, Spatial Ability, and Mathematics Achievements of Secondary School 8th Grade Students. The sample group of the study, itself…
Mental Abilities and School Achievement: A Test of a Mediation Hypothesis
ERIC Educational Resources Information Center
Vock, Miriam; Preckel, Franzis; Holling, Heinz
2011-01-01
This study analyzes the interplay of four cognitive abilities--reasoning, divergent thinking, mental speed, and short-term memory--and their impact on academic achievement in school in a sample of adolescents in grades seven to 10 (N = 1135). Based on information processing approaches to intelligence, we tested a mediation hypothesis, which states…
Relationship between Learning Strategies and Goal Orientations: A Multilevel Analysis
ERIC Educational Resources Information Center
Kadioglu, Cansel; Uzuntiryaki-Kondakci, Esen
2014-01-01
Problem Statement: Motivation plays an important role in explaining students' academic achievement. In an effort to explain students' purposes for learning and the reasons they engage in a learning activity, different achievement goal models (dichotomous, trichotomous, and 2x2) have been proposed over time. The present study aimed to extend…
Symbolic Notations and Students' Achievements in Algebra
ERIC Educational Resources Information Center
Peter, Ebiendele E.; Olaoye, Adetunji A.
2013-01-01
This study focuses on symbolic notations and its impact on students' achievement in Algebra. The main reason for this study rests on the observation from personal and professional experiences on students' increasing hatred for Algebra. One hundred and fifty (150) Senior Secondary School Students (SSS) from Ojo Local Education District, Ojo, Lagos,…
Federal Register 2010, 2011, 2012, 2013, 2014
2011-02-25
... proposed post-control BART limit of 0.012 lb/MMBtu on Units 1-3. C. Modeling and Demonstrating Reasonable... a different alternative emissions control strategy would achieve more progress than EPA's BART... Background for Proposing To Approve an Alternative Emissions Control Strategy as Achieving Better Progress...
Similar Paths, Different Destinations: Gender Differences in Teacher Career Paths in Oman
ERIC Educational Resources Information Center
Chapman, David W.; Al-Barwani, Thuwayba; Al Maawali, Fathiya; Jones, Thomas J.
2014-01-01
Jones ABSTRACT: Across Oman, girls outnumber and outperform boys at the secondary school level. While welcoming girls' success, the government is concerned that low male achievement may have negative consequences on national competitiveness and economic growth. One reason posited for this discrepancy in achievement is differences in the nature and…
ERIC Educational Resources Information Center
Olszewski-Kubilius, Paula
2011-01-01
In this article, the author discusses the meaning and importance of high grades and high achievement in terms of giftedness. She offers some reasons to tell children about the importance of school achievement. She suggests that good grades are no guarantee of eventual adult success, whether that is defined as a high income or a rewarding,…
ERIC Educational Resources Information Center
Ray, Brian
2015-01-01
This study explores the motivations of African American parents for choosing homeschooling for their children and the academic achievement of their Black homeschool students. Their reasons for homeschooling are similar to those of homeschool parents in general, although some use homeschooling to help their children understand Black culture and…
Thinking Skills Intervention for Low-Achieving First Graders
ERIC Educational Resources Information Center
Hotulainen, Risto; Mononen, Riikka; Aunio, Pirjo
2016-01-01
This paper reports the results of the improving thinking skills (ITS-1) intervention study on the thinking skills of low-achieving first graders. The intervention programme consists of 12 lessons, each lasting for 45 min. Lessons offer enriched-discovery learning activities and tasks to be solved through inductive reasoning. We used a…
The work motivations of mothers with preschool children.
Cotton, S; Antill, J K; Cunningham, J D
1989-06-01
This article provides a qualitative and quantitative analysis of the motivations for employment among a sample of 166 Sydney mothers, each of whom had at least 1 preschool-aged child. Mothers with high and moderate work attachment indicated a multiplicity of motives, of both an extrinsic (financial) and intrinsic (personal satisfaction, sense of achievement) nature. In contrast, the majority of women with low work attachment cited extreme financial need as the only possible reason that would impel them to enter the labor force. When asked which was, or would be, their most important reason for working, women with high work attachment endorsed more nonfinancial than financial reasons, women with moderate work attachment were about equally likely to give either reason, and women with low work attachment predominantly gave financial reasons. Husbands' perceptions of the reasons their wives were working, or would work, showed some, but not complete, agreement with those of their wives.
Jones, Jasmin Niedo; Abbott, Robert D.; Berninger, Virginia W.
2014-01-01
Human traits tend to fall along normal distributions. The aim of this research was to evaluate an evidence-based conceptual framework for predicting expected individual differences in reading and writing achievement outcomes for typically developing readers and writers in early and middle childhood from Verbal Reasoning with or without Working Memory Components (phonological, orthographic, and morphological word storage and processing units, phonological and orthographic loops, and rapid switching attention for cross-code integration). Verbal Reasoning (reconceptualized as Bidirectional Cognitive-Linguistic Translation) plus the Working Memory Components (reconceptualized as a language learning system) accounted for more variance than Verbal Reasoning alone, except for handwriting for which Working Memory Components alone were better predictors. Which predictors explained unique variance varied within and across reading (oral real word and pseudoword accuracy and rate, reading comprehension) and writing (handwriting, spelling, composing) skills and grade levels (second and fifth) in this longitudinal study. Educational applications are illustrated and theoretical and practical significance discussed. PMID:24948868
Exercise tolerance during VO2max testing is a multifactorial psychobiological phenomenon.
Midgley, Adrian W; Earle, Keith; McNaughton, Lars R; Siegler, Jason C; Clough, Peter; Earle, Fiona
2017-01-01
Fifty-nine men completed a VO 2max test and a questionnaire to establish reasons for test termination, perceived exercise reserve (difference between actual test duration and the duration the individual perceived could have been achieved if continued until physical limitation), and perception of verbal encouragement. Participants gave between 1 and 11 factors as reasons for test termination, including leg fatigue, various perceptions of physical discomfort, safety concerns, and achievement of spontaneously set goals. The two most common main reasons were leg fatigue and breathing discomfort, which were predicted by pre-to-post test changes in pulmonary function (p = 0.038) and explosive leg strength (p = 0.042; R 2 = 0.40). Median (interquartile range) perceived exercise reserve, was 45 (50) s. Two-thirds of participants viewed verbal encouragement positively, whereas one-third had a neutral or negative perception. This study highlights the complexity of exercise tolerance during VO 2max testing and more research should explore these novel findings.
NASA Astrophysics Data System (ADS)
Chotimah, Siti; Bernard, M.; Wulandari, S. M.
2018-01-01
The main problems of the research were the lack of reasoning ability and mathematical disposition of students to the learning of mathematics in high school students in Cimahi - West Java. The lack of mathematical reasoning ability in students was caused by the process of learning. The teachers did not train the students to do the problems of reasoning ability. The students still depended on each other. Sometimes, one of patience teacher was still guiding his students. In addition, the basic ability aspects of students also affected the ability the mathematics skill. Furthermore, the learning process with contextual approach aided by VBA Learning Media (Visual Basic Application for Excel) gave the positive influence to the students’ mathematical disposition. The students are directly involved in learning process. The population of the study was all of the high school students in Cimahi. The samples were the students of SMA Negeri 4 Cimahi class XIA and XIB. There were both of tested and non-tested instruments. The test instrument was a description test of mathematical reasoning ability. The non-test instruments were questionnaire-scale attitudes about students’ mathematical dispositions. This instrument was used to obtain data about students’ mathematical reasoning and disposition of mathematics learning with contextual approach supported by VBA (Visual Basic Application for Excel) and by conventional learning. The data processed in this study was from the post-test score. These scores appeared from both of the experimental class group and the control class group. Then, performing data was processed by using SPSS 22 and Microsoft Excel. The data was analyzed using t-test statistic. The final result of this study concluded the achievement and improvement of reasoning ability and mathematical disposition of students whose learning with contextual approach supported by learning media of VBA (Visual Basic Application for Excel) was better than students who got conventional learning.
Analytic and Heuristic Processing Influences on Adolescent Reasoning and Decision-Making.
ERIC Educational Resources Information Center
Klaczynski, Paul A.
2001-01-01
Examined the relationship between age and the normative/descriptive gap--the discrepancy between actual reasoning and traditional standards for reasoning. Found that middle adolescents performed closer to normative ideals than early adolescents. Factor analyses suggested that performance was based on two processing systems, analytic and heuristic…
NASA Astrophysics Data System (ADS)
Magee, Daniel J.; Niemeyer, Kyle E.
2018-03-01
The expedient design of precision components in aerospace and other high-tech industries requires simulations of physical phenomena often described by partial differential equations (PDEs) without exact solutions. Modern design problems require simulations with a level of resolution difficult to achieve in reasonable amounts of time-even in effectively parallelized solvers. Though the scale of the problem relative to available computing power is the greatest impediment to accelerating these applications, significant performance gains can be achieved through careful attention to the details of memory communication and access. The swept time-space decomposition rule reduces communication between sub-domains by exhausting the domain of influence before communicating boundary values. Here we present a GPU implementation of the swept rule, which modifies the algorithm for improved performance on this processing architecture by prioritizing use of private (shared) memory, avoiding interblock communication, and overwriting unnecessary values. It shows significant improvement in the execution time of finite-difference solvers for one-dimensional unsteady PDEs, producing speedups of 2 - 9 × for a range of problem sizes, respectively, compared with simple GPU versions and 7 - 300 × compared with parallel CPU versions. However, for a more sophisticated one-dimensional system of equations discretized with a second-order finite-volume scheme, the swept rule performs 1.2 - 1.9 × worse than a standard implementation for all problem sizes.
Ontology Performance Profiling and Model Examination: First Steps
NASA Astrophysics Data System (ADS)
Wang, Taowei David; Parsia, Bijan
"[Reasoner] performance can be scary, so much so, that we cannot deploy the technology in our products." - Michael Shepard. What are typical OWL users to do when their favorite reasoner never seems to return? In this paper, we present our first steps considering this problem. We describe the challenges and our approach, and present a prototype tool to help users identify reasoner performance bottlenecks with respect to their ontologies. We then describe 4 case studies on synthetic and real-world ontologies. While the anecdotal evidence suggests that the service can be useful for both ontology developers and reasoner implementors, much more is desired.
Liver transplant in ethylmalonic encephalopathy: a new treatment for an otherwise fatal disease.
Dionisi-Vici, Carlo; Diodato, Daria; Torre, Giuliano; Picca, Stefano; Pariante, Rosanna; Giuseppe Picardo, Sergio; Di Meo, Ivano; Rizzo, Cristiano; Tiranti, Valeria; Zeviani, Massimo; De Ville De Goyet, Jean
2016-04-01
Ethylmalonic encephalopathy is a fatal, rapidly progressive mitochondrial disorder caused by ETHE1 mutations, whose peculiar clinical and biochemical features are due to the toxic accumulation of hydrogen sulphide and of its metabolites, including thiosulphate. In mice with ethylmalonic encephalopathy, liver-targeted adeno-associated virus-mediated ETHE1 gene transfer dramatically improved both clinical course and metabolic abnormalities. Reasoning that the same achievement could be accomplished by liver transplantation, we performed living donor-liver transplantation in an infant with ethylmalonic encephalopathy. Unlike the invariably progressive deterioration of the disease, 8 months after liver transplantation, we observed striking neurological improvement with remarkable achievements in psychomotor development, along with dramatic reversion of biochemical abnormalities. These results clearly indicate that liver transplantation is a viable therapeutic option for ETHE1 disease. © The Author (2016). Published by Oxford University Press on behalf of the Guarantors of Brain. All rights reserved. For Permissions, please email: journals.permissions@oup.com.
A Feasibility Study of CO2-Based Rankine Cycle Powered by Solar Energy
NASA Astrophysics Data System (ADS)
Zhang, Xin-Rong; Yamaguchi, Hiroshi; Fujima, Katsumi; Enomoto, Masatoshi; Sawada, Noboru
An experiment study was carried out in order to investigate feasibility of CO2-based Rankine cycle powered by solar energy. The proposed cycle is to achieve a cogeneration of heat and power, which consists of evacuated solar tube collectors, power generating turbine, heat recovery system, and feed pump. The Rankine cycle of the system utilizes solar collectors to convert CO2 into high-temperature supercritical state, used to drive a turbine and produce electrical power. The cycle also recovers thermal energy, which can be used for absorption refrigerator, air conditioning, hot water supply so on for a building. A set of experimental set-up was constructed to investigate the performance of the CO2-based Rankine cycle. The results show the cycle can achieve production of heat and power with reasonable thermodynamics efficiency and has a great potential of the application of the CO2-based Rankine cycle powered by solar energy. In addition, some research interests related to the present study will also be discussed in this paper.
Measuring true localization accuracy in super resolution microscopy with DNA-origami nanostructures
NASA Astrophysics Data System (ADS)
Reuss, Matthias; Fördős, Ferenc; Blom, Hans; Öktem, Ozan; Högberg, Björn; Brismar, Hjalmar
2017-02-01
A common method to assess the performance of (super resolution) microscopes is to use the localization precision of emitters as an estimate for the achieved resolution. Naturally, this is widely used in super resolution methods based on single molecule stochastic switching. This concept suffers from the fact that it is hard to calibrate measures against a real sample (a phantom), because true absolute positions of emitters are almost always unknown. For this reason, resolution estimates are potentially biased in an image since one is blind to true position accuracy, i.e. deviation in position measurement from true positions. We have solved this issue by imaging nanorods fabricated with DNA-origami. The nanorods used are designed to have emitters attached at each end in a well-defined and highly conserved distance. These structures are widely used to gauge localization precision. Here, we additionally determined the true achievable localization accuracy and compared this figure of merit to localization precision values for two common super resolution microscope methods STED and STORM.
Robust stereo matching with trinary cross color census and triple image-based refinements
NASA Astrophysics Data System (ADS)
Chang, Ting-An; Lu, Xiao; Yang, Jar-Ferr
2017-12-01
For future 3D TV broadcasting systems and navigation applications, it is necessary to have accurate stereo matching which could precisely estimate depth map from two distanced cameras. In this paper, we first suggest a trinary cross color (TCC) census transform, which can help to achieve accurate disparity raw matching cost with low computational cost. The two-pass cost aggregation (TPCA) is formed to compute the aggregation cost, then the disparity map can be obtained by a range winner-take-all (RWTA) process and a white hole filling procedure. To further enhance the accuracy performance, a range left-right checking (RLRC) method is proposed to classify the results as correct, mismatched, or occluded pixels. Then, the image-based refinements for the mismatched and occluded pixels are proposed to refine the classified errors. Finally, the image-based cross voting and a median filter are employed to complete the fine depth estimation. Experimental results show that the proposed semi-global stereo matching system achieves considerably accurate disparity maps with reasonable computation cost.
Measurement of the 23Na(n,2n) cross section in 235U and 252Cf fission neutron spectra
NASA Astrophysics Data System (ADS)
Košťál, Michal; Schulc, Martin; Rypar, Vojtěch; Losa, Evžen; Švadlenková, Marie; Baroň, Petr; Jánský, Bohumil; Novák, Evžen; Mareček, Martin; Uhlíř, Jan
2017-09-01
The presented paper aims to compare the calculated and experimental reaction rates of 23Na(n,2n)22Na in a well-defined reactor spectra and in the spontaneous fission spectrum of 252Cf. The experimentally determined reaction rate, derived using gamma spectroscopy of irradiated NaF sample, is used for average cross section determination.Estimation of this cross-section is important as it is included in International Reactor Dosimetry and Fusion File and is also relevant to the correct estimation of long-term activity of Na coolant in Sodium Fast Reactors. The calculations were performed with the MCNP6 code using ENDF/B-VII.0, JEFF-3.1, JEFF-3.2, JENDL-3.3, JENDL-4, ROSFOND-2010, CENDL-3.1 and IRDFF nuclear data libraries. In the case of reactor spectrum, reasonable agreement was not achieved with any library. However, in the case of 252Cf spectrum agreement was achieved with IRDFF, JEFF-3.1 and JENDL libraries.
Li, Lishuang; Zhang, Panpan; Zheng, Tianfu; Zhang, Hongying; Jiang, Zhenchao; Huang, Degen
2014-01-01
Protein-Protein Interaction (PPI) extraction is an important task in the biomedical information extraction. Presently, many machine learning methods for PPI extraction have achieved promising results. However, the performance is still not satisfactory. One reason is that the semantic resources were basically ignored. In this paper, we propose a multiple-kernel learning-based approach to extract PPIs, combining the feature-based kernel, tree kernel and semantic kernel. Particularly, we extend the shortest path-enclosed tree kernel (SPT) by a dynamic extended strategy to retrieve the richer syntactic information. Our semantic kernel calculates the protein-protein pair similarity and the context similarity based on two semantic resources: WordNet and Medical Subject Heading (MeSH). We evaluate our method with Support Vector Machine (SVM) and achieve an F-score of 69.40% and an AUC of 92.00%, which show that our method outperforms most of the state-of-the-art systems by integrating semantic information.
Van den Bosch, Kyle; Matthews, Jeffrey W
2017-04-01
Under the US Clean Water Act, wetland restoration is used to compensate for adverse impacts to wetlands. Following construction, compensation wetlands are monitored for approximately 5 years to determine if they comply with project-specific performance standards. Once a compensation site complies with performance standards, it is assumed that the site will continue to meet standards indefinitely. However, there have been few assessments of long-term compliance. We surveyed, in 2012, 30 compensation sites 8-20 years after restoration to determine whether projects continued to meet performance standards. Additionally, we compared floristic quality of compensation sites to the quality of adjacent natural wetlands to determine whether wetland condition in compensation sites could be predicted based on the condition of nearby wetlands. Compensation sites met, on average, 65% of standards during the final year of monitoring and 53% of standards in 2012, a significant decrease in compliance. Although forested wetlands often failed to meet standards for planted tree survival, the temporal decrease in compliance was driven by increasing dominance by invasive plants in emergent wetlands. The presumption of continued compliance with performance standards after a 5-year monitoring period was not supported. Wetlands restored near better quality natural wetlands achieved and maintained greater floristic quality, suggesting that landscape context was an important determinant of long-term restoration outcomes. Based on our findings, we recommend that compensation wetlands should be monitored for longer time periods, and we suggest that nearby or adjacent natural wetlands provide good examples of reasonably achievable restoration outcomes in a particular landscape.
Fuzzy Energy Management for a Catenary-Battery-Ultracapacitor based Hybrid Tramway
NASA Astrophysics Data System (ADS)
Jibin, Yang; Jiye, Zhang; Pengyun, Song
2017-05-01
In this paper, an energy management strategy (EMS) based on fuzzy logic control for a catenary-battery-ultracapacitor powered hybrid modern tramway was presented. The fuzzy logic controller for the catenary zone and catenary-less zone was respectively designed by analyzing the structure and working mode of the hybrid system, then an energy management strategy based on double fuzzy logic control was proposed to enhance the fuel economy. The hybrid modern tramway simulation model was developed based on MATLAB/Simulink environment. The simulation results show that the proposed EMS can satisfy the demand of dynamic performance of the tramway and achieve the power distribution reasonably between the each power source.
Local Table Condensation in Rough Set Approach for Jumping Emerging Pattern Induction
NASA Astrophysics Data System (ADS)
Terlecki, Pawel; Walczak, Krzysztof
This paper extends the rough set approach for JEP induction based on the notion of a condensed decision table. The original transaction database is transformed to a relational form and patterns are induced by means of local reducts. The transformation employs an item aggregation obtained by coloring a graph that re0ects con0icts among items. For e±ciency reasons we propose to perform this preprocessing locally, i.e. at the transaction level, to achieve a higher dimensionality gain. Special maintenance strategy is also used to avoid graph rebuilds. Both global and local approach have been tested and discussed for dense and synthetically generated sparse datasets.
Developing schools' capacities to respond to community crisis: the Tennessee initiative.
Love, Rene A; Cobb, Nicole
2012-08-01
The development and implementation of a statewide initiative addressing mental health issues within schools postcrisis. The potential for a community crisis occurs every day. After a crisis, schools are practical, logical, and effective places to help students recover from a tragedy. If crisis-related trauma is not addressed adequately, it can impact academic outcomes such as reading achievement, grade point average, and overall academic performance. For these reasons, it is imperative that school administrators support students in the aftermath of a crisis. This ongoing project continues in an effort to support students, faculty, and staff after a traumatic event within the Tennessee public school system. © 2012 Wiley Periodicals, Inc.
Scaling studies of solar pumped lasers
NASA Astrophysics Data System (ADS)
Christiansen, W. H.; Chang, J.
1985-08-01
A progress report of scaling studies of solar pumped lasers is presented. Conversion of blackbody radiation into laser light has been demonstrated in this study. Parametric studies of the variation of laser mixture composition and laser gas temperature were carried out for CO2 and N2O gases. Theoretical analysis and modeling of the system have been performed. Reasonable agreement between predictions in the parameter variation and the experimental results have been obtained. Almost 200 mW of laser output at 10.6 micron was achieved by placing a small sapphire laser tube inside an oven at 1500 K the tube was filled with CO2 laser gas mixture and cooled by longitudinal nitrogen gas flow.
Scaling studies of solar pumped lasers
NASA Technical Reports Server (NTRS)
Christiansen, W. H.; Chang, J.
1985-01-01
A progress report of scaling studies of solar pumped lasers is presented. Conversion of blackbody radiation into laser light has been demonstrated in this study. Parametric studies of the variation of laser mixture composition and laser gas temperature were carried out for CO2 and N2O gases. Theoretical analysis and modeling of the system have been performed. Reasonable agreement between predictions in the parameter variation and the experimental results have been obtained. Almost 200 mW of laser output at 10.6 micron was achieved by placing a small sapphire laser tube inside an oven at 1500 K the tube was filled with CO2 laser gas mixture and cooled by longitudinal nitrogen gas flow.
Protograph-Based Raptor-Like Codes
NASA Technical Reports Server (NTRS)
Divsalar, Dariush; Chen, Tsung-Yi; Wang, Jiadong; Wesel, Richard D.
2014-01-01
Theoretical analysis has long indicated that feedback improves the error exponent but not the capacity of pointto- point memoryless channels. The analytic and empirical results indicate that at short blocklength regime, practical rate-compatible punctured convolutional (RCPC) codes achieve low latency with the use of noiseless feedback. In 3GPP, standard rate-compatible turbo codes (RCPT) did not outperform the convolutional codes in the short blocklength regime. The reason is the convolutional codes for low number of states can be decoded optimally using Viterbi decoder. Despite excellent performance of convolutional codes at very short blocklengths, the strength of convolutional codes does not scale with the blocklength for a fixed number of states in its trellis.
Research on Chinese Life Cycle-Based Wind Power Plant Environmental Influence Prevention Measures
Wang, Hanxi; Xu, Jianling; Liu, Yuanyuan; Zhang, Tian
2014-01-01
The environmental impact of wind power plants over their life cycle is divided into three stages: construction period, operation period and retired period. The impact is mainly reflected in ecological destruction, noise pollution, water pollution and the effect on bird migration. In response to these environmental effects, suggesting reasonable locations, reducing plant footprint, optimizing construction programs, shielding noise, preventing pollution of terrestrial ecosystems, implementing combined optical and acoustical early warning signals, making synthesized use of power generation equipment in the post-retired period and using other specific measures, including methods involving governance and protection efforts to reduce environmental pollution, can be performed to achieve sustainable development. PMID:25153474
Johns, Merida L.
2013-01-01
The business case for gender diversity in senior and executive positions is compelling. Studies show that companies that have the best records for promoting women outstrip their competition on every measure of profitability. Yet women disproportionately are failing to attain high-level positions. Reviewing current data on women in the workplace, findings of studies on the relationship between gender diversity in senior management and company performance, and the literature on gender behavioral differences and the workplace, this article explores the possible reasons for the persistent wage and gender gap between women and men in senior leadership positions and discusses possible remedies. PMID:23346029
Determination of shift in energy of band edges and band gap of ZnSe spherical quantum dot
NASA Astrophysics Data System (ADS)
Siboh, Dutem; Kalita, Pradip Kumar; Sarma, Jayanta Kumar; Nath, Nayan Mani
2018-04-01
We have determined the quantum confinement induced shifts in energy of band edges and band gap with respect to size of ZnSe spherical quantum dot employing an effective confinement potential model developed in our earlier communication "arXiv:1705.10343". We have also performed phenomenological analysis of our theoretical results in comparison with available experimental data and observe a very good agreement in this regard. Phenomenological success achieved in this regard confirms validity of the confining potential model as well as signifies the capability and applicability of the ansatz for the effective confining potential to have reasonable information in the study of real nano-structured spherical systems.
Running functional sport vest and short for e-textile applications
NASA Astrophysics Data System (ADS)
Baskan, H.; Acikgoz, H.; Atakan, R.; Eryuruk, H.; Akalın, N.; Kose, H.; Li, Y.; Kursun Bahadir, S.; Kalaoglu, F.
2017-10-01
Sports garments with functional properties have become crucial as well as comfort properties since they improve the wearer performance. For this reason, sport vest and short having high elastic recovery with fall detection sensor, were designed and produced by using flat-bed knitting machine. Comfort properties of short and vest were tested with several test instruments and; tensile strength of elastomeric yarn, air permeability, moisture management, drape and objective handle (FAST tests) of garments were achieved. It was proved that short and vest samples have good comfort properties as a functional sport garment. It was also tested that fall-detection sensor can work efficiently by using a mobile phone application.
Robust matching for voice recognition
NASA Astrophysics Data System (ADS)
Higgins, Alan; Bahler, L.; Porter, J.; Blais, P.
1994-10-01
This paper describes an automated method of comparing a voice sample of an unknown individual with samples from known speakers in order to establish or verify the individual's identity. The method is based on a statistical pattern matching approach that employs a simple training procedure, requires no human intervention (transcription, work or phonetic marketing, etc.), and makes no assumptions regarding the expected form of the statistical distributions of the observations. The content of the speech material (vocabulary, grammar, etc.) is not assumed to be constrained in any way. An algorithm is described which incorporates frame pruning and channel equalization processes designed to achieve robust performance with reasonable computational resources. An experimental implementation demonstrating the feasibility of the concept is described.
Characteristics of mathematics teaching in Shanghai, China: Through the lens of a Malaysian
NASA Astrophysics Data System (ADS)
Lim, Chap Sam
2007-06-01
The mathematical performance of Chinese students, from mainland China, Hong Kong and Taiwan, is widely acclaimed in international comparisons of mathematics achievement. However, in the eyes of the Western educators, the environments established in Chinese schools are deemed relatively unfavourable for mathematics learning. This paper reports on a study that investigates the characteristics of effective mathematics teaching in five Shanghai schools. Findings reveal that those characteristics include (a) teaching with variation; (b) emphasis of precise and elegant mathematical language; (c) emphasis of logical reasoning, mathematical thinking and proofing during teaching; (d) order and serious classroom discipline; (e) strong and coherence teacher-student rapport, and (f) strong collaborative culture amongst mathematics teachers.
Consequences of Age-Related Cognitive Declines
Salthouse, Timothy
2013-01-01
Adult age differences in a variety of cognitive abilities are well documented, and many of those abilities have been found to be related to success in the workplace and in everyday life. However, increased age is seldom associated with lower levels of real-world functioning, and the reasons for this lab-life discrepancy are not well understood. This article briefly reviews research concerned with relations of age to cognition, relations of cognition to successful functioning outside the laboratory, and relations of age to measures of work performance and achievement. The final section discusses several possible explanations for why there are often little or no consequences of age-related cognitive declines in everyday functioning. PMID:21740223
[Change of well-being and of the emotional state of students upon learning of teaching material].
Ivashchenko, S N
2014-01-01
This article presents the results of studying the dynamics of changes in indicators being recorded by students V-VIII classes of secondary schools in Kiev during the process of development of educational information. In addition, the article shows the results of the study the patterns of the indicators of the emotional state of the representatives of this category of students. It is established that there is a relationship between the values of indicators of health and emotional state school and degree that the level of complexity of the material being studied individual abilities of students about their ability to appreciate and understand the essence of a full training material. The more high performance, indicating a deterioration of health and emotional state, were among those students who strive to achieve excellent results in their studies, but for some reason failed to achieve them. In contrast, the most favorable figures were well-being and emotional state of the two categories of students: those students whose individual capacities for perception and Learning scales with difficulty, and those students who are not particularly sought to achieve good results in studies.
Melby, Melissa K; Takeda, Wakako
2014-01-01
Japanese public health nutrition often promotes 'traditional' cuisine. In-depth interviews with 107 Japanese adults were conducted in Tokyo from 2009 to 2011, using free-listing methods to examine dietary ideals and realities to assess the extent to which realities reflect inadequate nutrition education or lifestyle constraints. Ideal-reality gaps were widest for breakfast. Most people reported Japanese ideals: rice and miso soup were prototypical foods. However, breakfast realities were predominantly western (bread-based). While those aged 40-59 were more likely to hold Japanese ideals (P=0.063), they were less likely to achieve them (P=0.007). All those reporting western ideals achieved them on weekdays, while only 64% of those with Japanese ideals achieved them (P<0.001). Partial correlations controlling for age and gender showed achievement of Japanese ideals were positively correlated with proportion of cooking-related housework, and negatively correlated with living standard and income. Ideal menu content was in line with current Japanese nutrition advice, suggesting that more nutrition education may not change dietary ideals or behavior. Participant-reported reasons for ideal-reality discordance demonstrate that work-life balance issues, especially lack of time and family structure/life rhythm, are the largest obstacles to the attainment of dietary ideals. People reporting 'no time' as a primary reason for ideal-reality gaps were less likely to achieve their Japanese ideals (odds ratio=0.212). Time realities of people's lives may undermine educational efforts promoting Japanese breakfasts. When dietary reality/behavior departs from guidelines, it is often assumed that people lack knowledge. If ideals are in line with dietary guidelines, then lack of knowledge is not the likely cause and nutrition education is not the optimal solution. By asking people about the reasons for gaps between their ideals and realities, we can identify barriers and design more effective policies and programs to achieve dietary ideals. Copyright © 2013 Elsevier Ltd. All rights reserved.
A comprehensive test of clinical reasoning for medical students: An olympiad experience in Iran
Monajemi, Alireza; Arabshahi, Kamran Soltani; Soltani, Akbar; Arbabi, Farshid; Akbari, Roghieh; Custers, Eugene; Hadadgar, Arash; Hadizadeh, Fatemeh; Changiz, Tahereh; Adibi, Peyman
2012-01-01
Background: Although some tests for clinical reasoning assessment are now available, the theories of medical expertise have not played a major role in this filed. In this paper, illness script theory was chose as a theoretical framework and contemporary clinical reasoning tests were put together based on this theoretical model. Materials and Methods: This paper is a qualitative study performed with an action research approach. This style of research is performed in a context where authorities focus on promoting their organizations’ performance and is carried out in the form of teamwork called participatory research. Results: Results are presented in four parts as basic concepts, clinical reasoning assessment, test framework, and scoring. Conclusion: we concluded that no single test could thoroughly assess clinical reasoning competency, and therefore a battery of clinical reasoning tests is needed. This battery should cover all three parts of clinical reasoning process: script activation, selection and verification. In addition, not only both analytical and non-analytical reasoning, but also both diagnostic and management reasoning should evenly take into consideration in this battery. This paper explains the process of designing and implementing the battery of clinical reasoning in the Olympiad for medical sciences students through an action research. PMID:23555113
What variables can influence clinical reasoning?
Ashoorion, Vahid; Liaghatdar, Mohammad Javad; Adibi, Peyman
2012-12-01
Clinical reasoning is one of the most important competencies that a physician should achieve. Many medical schools and licensing bodies try to predict it based on some general measures such as critical thinking, personality, and emotional intelligence. This study aimed at providing a model to design the relationship between the constructs. Sixty-nine medical students participated in this study. A battery test devised that consist four parts: Clinical reasoning measures, personality NEO inventory, Bar-On EQ inventory, and California critical thinking questionnaire. All participants completed the tests. Correlation and multiple regression analysis consumed for data analysis. There is low to moderate correlations between clinical reasoning and other variables. Emotional intelligence is the only variable that contributes clinical reasoning construct (r=0.17-0.34) (R(2) chnage = 0.46, P Value = 0.000). Although, clinical reasoning can be considered as a kind of thinking, no significant correlation detected between it and other constructs. Emotional intelligence (and its subscales) is the only variable that can be used for clinical reasoning prediction.
Furze, Jennifer; Kenyon, Lisa K; Jensen, Gail M
2015-01-01
Clinical reasoning is an essential skill in pediatric physical therapist (PT) practice. As such, explicit instruction in clinical reasoning should be emphasized in PT education. This article provides academic faculty and clinical instructors with an overview of strategies to develop and expand the clinical reasoning capacity of PT students within the scope of pediatric PT practice. Achieving a balance between deductive reasoning strategies that provide a framework for thinking and inductive reasoning strategies that emphasize patient factors and the context of the clinical situation is an important variable in educational pedagogy. Consideration should be given to implementing various teaching and learning approaches across the curriculum that reflect the developmental level of the student(s). Deductive strategies may be helpful early in the curriculum, whereas inductive strategies are often advantageous after patient interactions; however, exposure to both is necessary to fully develop the learner's clinical reasoning abilities. For more insights from the authors, see Supplemental Digital Content 1, available at http://links.lww.com/PPT/A87.
Kageshima, Yosuke; Shinagawa, Tatsuya; Kuwata, Takaaki; Nakata, Josuke; Minegishi, Tsutomu; Takanabe, Kazuhiro; Domen, Kazunari
2016-04-18
A novel "photovoltaics (PV) + electrolyzer" concept is presented using a simple, small, and completely stand-alone non-biased device for solar-driven overall water splitting. Three or four spherical-shaped p-n junction silicon balls were successfully connected in series, named "SPHELAR." SPHELAR possessed small projected areas of 0.20 (3PVs) and 0.26 cm(2) (4PVs) and exhibited working voltages sufficient for water electrolysis. Impacts of the configuration on the PV module performance were carefully analyzed, revealing that a drastic increase in the photocurrent (≈20%) was attained by the effective utilization of a reflective sheet. Separate investigations on the electrocatalyst performance showed that non-noble metal based materials with reasonably small sizes (<0.80 cm(2)) exhibited substantial currents at the PV working voltage. By combining the observations of the PV characteristics, light management and electrocatalyst performance, solar-driven overall water splitting was readily achieved, reaching solar-to-hydrogen efficiencies of 7.4% (3PVs) and 6.4% (4PVs).
Exploring Cloud Computing for Large-scale Scientific Applications
DOE Office of Scientific and Technical Information (OSTI.GOV)
Lin, Guang; Han, Binh; Yin, Jian
This paper explores cloud computing for large-scale data-intensive scientific applications. Cloud computing is attractive because it provides hardware and software resources on-demand, which relieves the burden of acquiring and maintaining a huge amount of resources that may be used only once by a scientific application. However, unlike typical commercial applications that often just requires a moderate amount of ordinary resources, large-scale scientific applications often need to process enormous amount of data in the terabyte or even petabyte range and require special high performance hardware with low latency connections to complete computation in a reasonable amount of time. To address thesemore » challenges, we build an infrastructure that can dynamically select high performance computing hardware across institutions and dynamically adapt the computation to the selected resources to achieve high performance. We have also demonstrated the effectiveness of our infrastructure by building a system biology application and an uncertainty quantification application for carbon sequestration, which can efficiently utilize data and computation resources across several institutions.« less
Using optimal control methods with constraints to generate singlet states in NMR
NASA Astrophysics Data System (ADS)
Rodin, Bogdan A.; Kiryutin, Alexey S.; Yurkovskaya, Alexandra V.; Ivanov, Konstantin L.; Yamamoto, Satoru; Sato, Kazunobu; Takui, Takeji
2018-06-01
A method is proposed for optimizing the performance of the APSOC (Adiabatic-Passage Spin Order Conversion) technique, which can be exploited in NMR experiments with singlet spin states. In this technique magnetization-to-singlet conversion (and singlet-to-magnetization conversion) is performed by using adiabatically ramped RF-fields. Optimization utilizes the GRAPE (Gradient Ascent Pulse Engineering) approach, in which for a fixed search area we assume monotonicity to the envelope of the RF-field. Such an approach allows one to achieve much better performance for APSOC; consequently, the efficiency of magnetization-to-singlet conversion is greatly improved as compared to simple model RF-ramps, e.g., linear ramps. We also demonstrate that the optimization method is reasonably robust to possible inaccuracies in determining NMR parameters of the spin system under study and also in setting the RF-field parameters. The present approach can be exploited in other NMR and EPR applications using adiabatic switching of spin Hamiltonians.
Impact of Merger and Acquisition on University Performance.
Mohamadi Bolbanabad, Amjad; Mosadeghrad, Ali Mohammad; Arab, Mohammad; Majdzadeh, Reza
2017-08-01
Merger and acquisitions (M&A) widen access to higher education, improve quality of teaching and research, and increase efficiency of higher education institutions. Three big medical universities in Iran merged in 2010. The purpose of this study was to highlight the impact of this acquisition on the performance of Tehran University of Medical Sciences. This qualitative study was conducted using semi-structured in-depth interviews with 60 participants from April 2015 to November 2015. Purposeful sampling was used to recruit participants. Data analysis was performed using MAXQDA software (V. 10). The reasons for acquisition of IUMS by TUMS were to enhance the position of TUMS worldwide, and to increase its efficiency. The acquisition improved the organization and management of the newly formed TUMS, enhanced its academic position and market recognition. However, the achieved benefits did not come without shortcomings and unanticipated consequences. The merger and acquisition in higher education has some advantages and disadvantages. A well planned and carefully implemented M&A gives cutting edge to the higher education institutes.
Performance Prediction of a Synchronization Link for Distributed Aerospace Wireless Systems
Shao, Huaizong
2013-01-01
For reasons of stealth and other operational advantages, distributed aerospace wireless systems have received much attention in recent years. In a distributed aerospace wireless system, since the transmitter and receiver placed on separated platforms which use independent master oscillators, there is no cancellation of low-frequency phase noise as in the monostatic cases. Thus, high accurate time and frequency synchronization techniques are required for distributed wireless systems. The use of a dedicated synchronization link to quantify and compensate oscillator frequency instability is investigated in this paper. With the mathematical statistical models of phase noise, closed-form analytic expressions for the synchronization link performance are derived. The possible error contributions including oscillator, phase-locked loop, and receiver noise are quantified. The link synchronization performance is predicted by utilizing the knowledge of the statistical models, system error contributions, and sampling considerations. Simulation results show that effective synchronization error compensation can be achieved by using this dedicated synchronization link. PMID:23970828
NASA Astrophysics Data System (ADS)
Hartlieb, Philipp; Bock, Stefan
2018-03-01
This study presents a theoretical analysis of the influence of the rock mass rating on the cutting performance of roadheaders. Existing performance prediction models are assessed for their suitability for forecasting the influence of pre-damaging the rock mass with alternative methods like lasers or microwaves, prior to the mechanical excavation process. Finally, the RMCR model was chosen because it is the only reported model incorporating a range of rock mass properties into its calculations. The results show that even very tough rocks could be mechanically excavated if the occurrence, orientation and condition of joints are favourable for the cutting process. The calculated improvements in the cutting rate (m3/h) are up to 350% for the most favourable cases. In case of microwave irradiation of hard rocks with an UCS of 200 MPa, a reasonable improvement in the performance by 120% can be achieved with as little as an extra 0.7 kWh/m3 (= 1% more energy) compared to cutting only.
Aggregation and morphology control enables multiple cases of high-efficiency polymer solar cells
Liu, Yuhang; Zhao, Jingbo; Li, Zhengke; Mu, Cheng; Hu, Huawei; Jiang, Kui; Lin, Haoran; Ade, Harald; Yan, He
2014-01-01
Although the field of polymer solar cell has seen much progress in device performance in the past few years, several limitations are holding back its further development. For instance, current high-efficiency (>9.0%) cells are restricted to material combinations that are based on limited donor polymers and only one specific fullerene acceptor. Here we report the achievement of high-performance (efficiencies up to 10.8%, fill factors up to 77%) thick-film polymer solar cells for multiple polymer:fullerene combinations via the formation of a near-ideal polymer:fullerene morphology that contains highly crystalline yet reasonably small polymer domains. This morphology is controlled by the temperature-dependent aggregation behaviour of the donor polymers and is insensitive to the choice of fullerenes. The uncovered aggregation and design rules yield three high-efficiency (>10%) donor polymers and will allow further synthetic advances and matching of both the polymer and fullerene materials, potentially leading to significantly improved performance and increased design flexibility. PMID:25382026
Autonomous Assembly of Modular Structures in Space and on Extraterrestrial Locations
NASA Astrophysics Data System (ADS)
Alhorn, Dean C.
2005-02-01
The new U.S. National Vision for Space Exploration requires many new enabling technologies to accomplish the goals of space commercialization and returning humans to the moon and extraterrestrial environments. Traditionally, flight elements are complete sub-systems requiring humans to complete the integration and assembly. These bulky structures also require the use of heavy launch vehicles to send the units to a desired location. This philosophy necessitates a high degree of safety, numerous space walks at a significant cost. Future space mission costs must be reduced and safety increased to reasonably achieve exploration goals. One proposed concept is the autonomous assembly of space structures. This concept is an affordable, reliable solution to in-space and extraterrestrial assembly. Assembly is autonomously performed when two components join after determining that specifications are correct. Local sensors continue monitor joint integrity post assembly, which is critical for safety and structural reliability. Achieving this concept requires a change in space structure design philosophy and the development of innovative technologies to perform autonomous assembly. Assembly of large space structures will require significant numbers of integrity sensors. Thus simple, low-cost sensors are integral to the success of this concept. This paper addresses these issues and proposes a novel concept for assembling space structures autonomously. Core technologies required to achieve in space assembly are presented. These core technologies are critical to the goal of utilizing space in a cost efficient and safe manner. Additionally, these novel technologies can be applied to other systems both on earth and extraterrestrial environments.
Evaluation of a low aspect ratio small axial compressor stage, volume 1
NASA Technical Reports Server (NTRS)
Sawyer, C. W., III
1977-01-01
A program was conducted to evaluate the effects of scaling, tip clearance, and IGV reset on the performance of a low aspect ratio compressor stage. Stage design was obtained by scaling an existing single stage compressor by a linear factor of 0.304. The design objective was to maintain the meanline velocity field of the base machine in the smaller size. Adjustments were made to account for predicted blockage differences and to chord lengths and airfoil edge radii to obtain reasonable blade geometries. Meanline velocity diagrams of the base stage were not maintained at the scaled size. At design speed and flowrate the scaled stage achieved a pressure ratio of 1.423, adiabatic efficiency of 0.822, and surge margin of 18.5%. The corresponding performance parameters for the base stage were 1.480, 0.872, and 25.2%, respectively. The base stage demonstrated a peak efficiency at design speed of 0.872; the scaled stage achieved a level of 0.838. When the scaled stage rotor and stator tip clearances were doubled, the stage achieved a pressure ratio of 1.413, efficiency of 0.799, and surge margin of 16.0% at the design flowrate. The peak stage efficiency at design speed was 0.825 with the increased clearance. Increased prewhirl lowered the stage pressure ratio as expected. Stage efficiency was maintained with ten degrees of increased prewhirl and then decreased substantially with ten additional degrees of reset.
Convolutional neural networks for vibrational spectroscopic data analysis.
Acquarelli, Jacopo; van Laarhoven, Twan; Gerretzen, Jan; Tran, Thanh N; Buydens, Lutgarde M C; Marchiori, Elena
2017-02-15
In this work we show that convolutional neural networks (CNNs) can be efficiently used to classify vibrational spectroscopic data and identify important spectral regions. CNNs are the current state-of-the-art in image classification and speech recognition and can learn interpretable representations of the data. These characteristics make CNNs a good candidate for reducing the need for preprocessing and for highlighting important spectral regions, both of which are crucial steps in the analysis of vibrational spectroscopic data. Chemometric analysis of vibrational spectroscopic data often relies on preprocessing methods involving baseline correction, scatter correction and noise removal, which are applied to the spectra prior to model building. Preprocessing is a critical step because even in simple problems using 'reasonable' preprocessing methods may decrease the performance of the final model. We develop a new CNN based method and provide an accompanying publicly available software. It is based on a simple CNN architecture with a single convolutional layer (a so-called shallow CNN). Our method outperforms standard classification algorithms used in chemometrics (e.g. PLS) in terms of accuracy when applied to non-preprocessed test data (86% average accuracy compared to the 62% achieved by PLS), and it achieves better performance even on preprocessed test data (96% average accuracy compared to the 89% achieved by PLS). For interpretability purposes, our method includes a procedure for finding important spectral regions, thereby facilitating qualitative interpretation of results. Copyright © 2016 Elsevier B.V. All rights reserved.
Autonomous Assembly of Modular Structures in Space and on Extraterrestrial Locations
NASA Technical Reports Server (NTRS)
Alhorn, Dean C.
2005-01-01
The new U.S. National Vision for Space Exploration requires many new enabling technologies to accomplish the goals of space commercialization and returning humans to the moon and extraterrestrial environments. Traditionally, flight elements are complete subsystems requiring humans to complete the integration and assembly. These bulky structures also require the use of heavy launch vehicles to send the units to a desired location. This philosophy necessitates a high degree of safety, numerous space walks at a significant cost. Future space mission costs must be reduced and safety increased to reasonably achieve exploration goals. One proposed concept is the autonomous assembly of space structures. This concept is an affordable, reliable solution to in-space and extraterrestrial assembly. Assembly is autonomously performed when two components join after determining that specifications are correct. Local sensors continue monitor joint integrity post assembly, which is critical for safety and structural reliability. Achieving this concept requires a change in space structure design philosophy and the development of innovative technologies to perform autonomous assembly. Assembly of large space structures will require significant numbers of integrity sensors. Thus simple, low-cost sensors are integral to the success of this concept. This paper addresses these issues and proposes a novel concept for assembling space structures autonomously. Core technologies required to achieve in space assembly are presented. These core technologies are critical to the goal of utilizing space in a cost efficient and safe manner. Additionally, these novel technologies can be applied to other systems both on earth and extraterrestrial environments.
Parisi, Jeanine M; Franchetti, Mary Kathryn; Rebok, George W; Spira, Adam P; Carlson, Michelle C; Willis, Sherry L; Gross, Alden L
2014-12-01
Within the context of the Advanced Cognitive Training for Independent and Vital Elderly study (ACTIVE; Ball et al., 2002; Jobe et al., 2001; Willis et al., 2006), we examined the longitudinal association of baseline depressive symptoms on inductive reasoning performance over a 10-year period between the reasoning training and control conditions (N = 1,375). At baseline, 322 participants (23%) reported elevated depressive symptoms, defined by a score ≥9 on the 12-item version of the Center for Epidemiological Studies Depression Scale (CES-D; Mirowsky & Ross, 2003; Radloff, 1977). Differences in baseline depressive status were not associated with immediate posttraining gains or with subsequent annual change in reasoning performance, suggesting that the presence of elevated baseline depressive symptoms does not impact the ability to benefit from reasoning training. (PsycINFO Database Record (c) 2014 APA, all rights reserved).
TrhOnt: building an ontology to assist rehabilitation processes.
Berges, Idoia; Antón, David; Bermúdez, Jesús; Goñi, Alfredo; Illarramendi, Arantza
2016-10-04
One of the current research efforts in the area of biomedicine is the representation of knowledge in a structured way so that reasoning can be performed on it. More precisely, in the field of physiotherapy, information such as the physiotherapy record of a patient or treatment protocols for specific disorders must be adequately modeled, because they play a relevant role in the management of the evolutionary recovery process of a patient. In this scenario, we introduce TRHONT, an application ontology that can assist physiotherapists in the management of the patients' evolution via reasoning supported by semantic technology. The ontology was developed following the NeOn Methodology. It integrates knowledge from ontological (e.g. FMA ontology) and non-ontological resources (e.g. a database of movements, exercises and treatment protocols) as well as additional physiotherapy-related knowledge. We demonstrate how the ontology fulfills the purpose of providing a reference model for the representation of the physiotherapy-related information that is needed for the whole physiotherapy treatment of patients, since they step for the first time into the physiotherapist's office, until they are discharged. More specifically, we present the results for each of the intended uses of the ontology listed in the document that specifies its requirements, and show how TRHONT can answer the competency questions defined within that document. Moreover, we detail the main steps of the process followed to build the TRHONT ontology in order to facilitate its reproducibility in a similar context. Finally, we show an evaluation of the ontology from different perspectives. TRHONT has achieved the purpose of allowing for a reasoning process that changes over time according to the patient's state and performance.
Extended School Year Programs: The Effects on Achievement and Other Phases of Student's Lives.
ERIC Educational Resources Information Center
Crim, Roger D.
Reasons for the present emphasis on all-year operation of schools differ from those prevailing 30-40 years ago. During the depression emphasis was on economy. Recently, a more sensible reason for an extended school year is coming into focus--the year-round school has educational value. It is not just something to be considered in order to save…
ERIC Educational Resources Information Center
Miller, Raegen T.; Murnane, Richard J.; Willett, John B.
2007-01-01
Rates of employee absences and the effects of absences on productivity are topics of conversation in many organizations in many countries. One reason is that high rates of employee absence may signal weak management and poor labor-management relations. A second reason is that reducing rates of employee absence may be an effective way to improve…
The Reasons for the Interruption of Vocational Training in Estonian Vocational Schools
ERIC Educational Resources Information Center
Beilmann, Mai; Espenberg, Kerly
2016-01-01
Dropping out of school before achieving any qualification is a serious problem both at an individual and societal level. This study provides an insight into the lives of young people who have dropped out or are at a risk of dropping out of vocational schools in Estonia and gives an overview of the reasons behind the interruption of their studies.…
Neural correlates of belief-bias reasoning under time pressure: a near-infrared spectroscopy study.
Tsujii, Takeo; Watanabe, Shigeru
2010-04-15
The dual-process theory of reasoning explained the belief-bias effect, the tendency for human reasoning to be erroneously biased when logical conclusions are incongruent with belief about the world, by proposing a belief-based fast heuristic system and a logic-based slow analytic system. Although the claims were supported by behavioral findings that the belief-bias effect was enhanced when subjects were not given sufficient time for reasoning, the neural correlates were still unknown. The present study therefore examined the relationship between the time-pressure effect and activity in the inferior frontal cortex (IFC) during belief-bias reasoning using near-infrared spectroscopy (NIRS). Forty-eight subjects performed congruent and incongruent reasoning tasks, involving long-span (20 s) and short-span trials (10 s). Behavioral analysis found that only incongruent reasoning performance was impaired by the time-pressure of short-span trials. NIRS analysis found that the time-pressure decreased right IFC activity during incongruent trials. Correlation analysis showed that subjects with enhanced right IFC activity could perform better in incongruent trials, while subjects for whom the right IFC activity was impaired by the time-pressure could not maintain better reasoning performance. These findings suggest that the right IFC may be responsible for the time-pressure effect in conflicting reasoning processes. When the right IFC activity was impaired in the short-span trials in which subjects were not given sufficient time for reasoning, the subjects may rely on the fast heuristic system, which result in belief-bias responses. We therefore offer the first demonstration of neural correlates of time-pressure effect on the IFC activity in belief-bias reasoning. Copyright 2009 Elsevier Inc. All rights reserved.
Patte, Karen A; Qian, Wei; Leatherdale, Scott T
2017-11-01
The longitudinal relationship between binge drinking and academic engagement, performance, and future aspirations and expectations was examined among a cohort of secondary school students. In separate multinomial generalized estimating equations models, linked data from Year 1 (Y1: 2012-2013), Year 2 (Y2: 2013-2014), and Year 3 (Y3: 2014-2015) of the COMPASS study (N = 27 112) were used to test the relative likelihood of responses to seven academic indices when binge drinking was initiated in varying frequencies, adjusting for gender, grade, race/ethnicity, tobacco use, and the individual mean of the predictor and all time-varying covariates. Among students who had never engaged in binge drinking at baseline, those who reported regular binge drinking at follow-up were relatively less likely to complete their homework, attend class, and value and achieve high grades, with more frequent binge drinking at follow-up generally resulting in larger relative risk ratios. Interestingly, shifting from "never" to "rare/sporadic" binge drinking one to two years later resulted in an increased relative risk of wanting to pursue all levels of postsecondary education. Beginning binge drinking on a "monthly" basis also increased the likelihood of college/ trade or bachelor degree ambitions, relative to high school, but not graduate/professional pathways; while degree aspirations were not associated with initiating weekly binge drinking. Results suggest students who initiate binge drinking have poor school performance and engagement, which may interfere with achieving their future academic goals. This study reinforces the reasons substance use prevention should be considered an academic priority, as such efforts may also prove beneficial for educational achievement.
Pape-Koehler, Carolina; Immenroth, Marc; Sauerland, Stefan; Lefering, Rolf; Lindlohr, Cornelia; Toaspern, Jens; Heiss, Markus
2013-05-01
Surgical procedures are complex motion sequences that require a high level of preparation, training, and concentration. In recent years, Internet platforms providing surgical content have been established. Used as a surgical training method, the effect of multimedia-based training on practical surgical skills has not yet been evaluated. This study aimed to evaluate the effect of multimedia-based training on surgical performance. A 2 × 2 factorial, randomized controlled trial with a pre- and posttest design was used to test the effect of multimedia-based training in addition to or without practical training on 70 participants in four groups defined by the intervention used: multimedia-based training, practical training, and combination training (multimedia-based training + practical training) or no training (control group). The pre- and posttest consisted of a laparoscopic cholecystectomy in a Pelvi-Trainer and was video recorded, encoded, and saved on DVDs. These were evaluated by blinded raters using a modified objective structured assessment of technical skills (OSATS). The main evaluation criterion was the difference in OSATS score between the pre- and posttest (ΔOSATS) results in terms of a task-specific checklist (procedural steps scored as correct or incorrect). The groups were homogeneous in terms of demographic parameters, surgical experience, and pretest OSATS scores. The ΔOSATS results were highest in the multimedia-based training group (4.7 ± 3.3; p < 0.001). The practical training group achieved 2.5 ± 4.3 (p = 0.028), whereas the combination training group achieved 4.6 ± 3.5 (p < 0.001), and the control group achieved 0.8 ± 2.9 (p = 0.294). Multimedia-based training improved surgical performance significantly and thus could be considered a reasonable tool for inclusion in surgical curricula.
NASA Astrophysics Data System (ADS)
Edi Nugroho Soebandrija, Khristian
2017-12-01
This paper comprises discussion of Green Innovation and Sustainable Industrial Systems within Sustainability and Company Improvement Perspective of beverage manufacturing company (BMC). The stakeholder theory is the grand theory for the company improvement perspective in this paper. The data processing in this paper is conducted through software which are SEM-PLS with SmartPLS 2.0 and SPSS 19. The specified objective of this paper has focus on sustainability as one of 6 variables, in lieu of those 6 variables as the big picture. The reason behind this focus on sustainability is the fact that there are assorted challenges in sustainability that is ranging from economic, environment and company perspectives. Those challenges in sustainability include the sustainable service supply chain management and its involvement of society. The overall objective is to analyze relationship hypothesis of 6 variables, 4 of them (leadership, organizational learning, innovation, and performance) are based on Malcolm Baldrige’s performance excellence concept to achieve sustainability and competitive advantage through company-competitor and customer questionnaire, and its relation to Total Quality Management (TQM) and Quality Management System (QMS). In conclusion, the spearheaded of company improvement in this paper is in term of consumer satisfaction through 99.997% quality standards. These can be achieved by ambidexterity through exploitation and exploration innovation. Furthermore, in this paper, TQM enables to obtain popularity brand index achievement that is greater than 45.9%. Subsequently, ISO22000 of food security standard encompasses quality standard of ISO9000 and HACCP. Through the ambidexterity of exploitation and exploration (Non Standard Product Inspection) NOSPI machine, the company improvement generates the achievement of 75% automation, 99.997% quality control standard and 80% of waste reduction.
Negligent exposures to hand-transmitted vibration.
Griffin, Michael J
2008-04-01
If the negligence of an employer results in the disability in an employee, the employer is responsible, in whole or in part, for the disability. The employer is wholly responsible when the worker would not have developed the disability if the employer had taken all reasonable preventative measures. The employer is only partly responsible if the worker would probably have developed some disability even if the employer had taken all reasonable precautions. The employer's responsibility may be estimated from the difference between the actual disability of the worker and the disability that the worker would have suffered if the employer had taken all reasonable preventative measures. This paper considers alternative ways of apportioning negligent and non-negligent exposures to hand-transmitted vibration. The equivalent daily vibration exposure, A(8), used in current EU Directives is shown to be unsuitable for distinguishing between the consequences of negligent and non-negligent exposures because the risks of developing a disorder from hand-transmitted vibration also depend on the years of exposure. Furthermore, daily exposures take no account of individual susceptibility or the practicality of reducing exposure. The consequences of employer negligence may be estimated from the delay in the onset and progression of disorder that would have been achieved if the employer had acted reasonably, such as by reducing vibration magnitude and exposure duration to the minimum that was reasonably achievable in the circumstances. This seems to be fair and reasonable for both employers and employees and indicates the consequences of negligence-the period of the worker's life with disease as a result of negligence and the period for which their employment opportunities may be restricted as a result of the onset of the disorder due to negligence. The effects of negligence may be estimated from the delay in the onset of disease or disability that would have occurred if the employer had behaved reasonably. This definition of negligence encourages employers to reduce risks to the lowest reasonably practical level, consistent with EU Directives.
Baldinger, Samuel H; Kumar, Saurabh; Barbhaiya, Chirag R; Mahida, Saagar; Epstein, Laurence M; Michaud, Gregory F; John, Roy; Tedrow, Usha B; Stevenson, William G
2015-12-01
Radiofrequency ablation (RFA) from the epicardial space for ventricular arrhythmias is limited or impossible in some cases. Reasons for epicardial ablation failure and the effect on outcome have not been systematically analyzed. We assessed reasons for epicardial RFA failure relative to the anatomic target area and the type of heart disease and assessed the effect of failed epicardial RFA on outcome after ablation procedures for ventricular arrhythmias in a large single-center cohort. Epicardial access was attempted during 309 ablation procedures in 277 patients and was achieved in 291 procedures (94%). Unlimited ablation in an identified target region could be performed in 181 cases (59%), limited ablation was possible in 22 cases (7%), and epicardial ablation was deemed not feasible in 88 cases (28%). Reasons for failed or limited ablation were unsuccessful epicardial access (6%), failure to identify an epicardial target (15%), proximity to a coronary artery (13%), proximity to the phrenic nerve (6%), and complications (<1%). Epicardial RFA was impeded in the majority of cases targeting the left ventricular summit region. Acute complications occurred in 9%. The risk for acute ablation failure was 8.3× higher (4.5-15.0; P<0.001) after no or limited epicardial RFA compared with unlimited RFA, and patients with unlimited epicardial RFA had better recurrence-free survival rates (P<0.001). Epicardial RFA for ventricular arrhythmias is often limited even when pericardial access is successful. Variability of success is dependent on the target area, and the presence of factors limiting ablation is associated with worse outcomes. © 2015 American Heart Association, Inc.
Relationship among Demographic Variables and Pupils' Reasoning Ability
ERIC Educational Resources Information Center
Tella, Adeyinka; Tella, Adedeji; Adika, L. O.; Toyobo, Majekodunmi Oluwole
2008-01-01
Introduction: Pupils reasoning ability is a sine-qua-non to the evaluation of their performance in learning and an indicator of their potential predictors of future performance. Method: The study examined the relationship among demographic variables and reasoning ability of primary school pupils. It drew four hundred pupils from ten (10)…
ERIC Educational Resources Information Center
Wong, Regine; Niu, Weihua
2013-01-01
A total of 182 undergraduate students from China and the United States participated in a study examining the presence of stereotypical perceptions regarding creativity and deductive reasoning abilities, as well as the influence of stereotype on participants' performance on deductive reasoning and creativity in nonverbal form. The results showed…
Wass, Christopher; Denman-Brice, Alexander; Rios, Chris; Light, Kenneth R; Kolata, Stefan; Smith, Andrew M; Matzel, Louis D
2012-04-01
Contemporary descriptions of human intelligence hold that this trait influences a broad range of cognitive abilities, including learning, attention, and reasoning. Like humans, individual genetically heterogeneous mice express a "general" cognitive trait that influences performance across a diverse array of learning and attentional tasks, and it has been suggested that this trait is qualitatively and structurally analogous to general intelligence in humans. However, the hallmark of human intelligence is the ability to use various forms of "reasoning" to support solutions to novel problems. Here, we find that genetically heterogeneous mice are capable of solving problems that are nominally indicative of inductive and deductive forms of reasoning, and that individuals' capacity for reasoning covaries with more general learning abilities. Mice were characterized for their general learning ability as determined by their aggregate performance (derived from principal component analysis) across a battery of five diverse learning tasks. These animals were then assessed on prototypic tests indicative of deductive reasoning (inferring the meaning of a novel item by exclusion, i.e., "fast mapping") and inductive reasoning (execution of an efficient search strategy in a binary decision tree). The animals exhibited systematic abilities on each of these nominal reasoning tasks that were predicted by their aggregate performance on the battery of learning tasks. These results suggest that the coregulation of reasoning and general learning performance in genetically heterogeneous mice form a core cognitive trait that is analogous to human intelligence. (c) 2012 APA, all rights reserved.
Age differences in proactive interference, working memory, and abstract reasoning
Emery, Lisa; Hale, Sandra; Myerson, Joel
2008-01-01
It has been hypothesized that older adults are especially susceptible to proactive interference (PI), and that this may contribute to age differences in working memory performance. In young adults, individual differences in PI affect both working memory and reasoning ability, but the relations between PI, working memory, and reasoning in older adults have not been examined. In the current study, young, old, and very old adults performed a modified operation span task that induced several cycles of PI buildup and release, as well as two tests of abstract reasoning ability. Age differences in working memory scores increased as PI built up, consistent with the hypothesis that older adults are more susceptible to PI, but both young and older adults showed complete release from PI. Young adults' reasoning ability was best predicted by working memory performance under high-PI conditions, replicating Bunting (2006). In contrast, older adults' reasoning ability was best predicted by their working memory performance under low-PI conditions, thereby raising questions regarding the general role of susceptibility to PI in differences in higher cognitive function among older adults. PMID:18808252
Designs for improving electromagnetic acoustic transducers’ excitation performance
NASA Astrophysics Data System (ADS)
He, Jianpeng; Xu, Ke; Ren, Weiping
2018-06-01
The main drawback of electromagnetic acoustic transducers (EMATs) is their low energy transition efficiency. For the purpose of increasing the amplitude of the received signal, a ferrite core (FC) and a bias magnet (BM) are utilized respectively to improve the EMAT’s excitation performance in this paper. It indicates that the new configurations can increase the peak-to-peak amplitude of the received signal by a factor of 2.7 and 2.9, respectively. The reasons for the signal enhancement are also investigated through simulation and experimental methods. For the FC EMAT, improvement is achieved due to the enhancement of the dynamic magnetic field and the increase of coil inductance. In comparison, the change of the magnetostrictive transduction mechanism leads to the signal enhancement for the BM EMAT. The bias magnet magnetized the surface of the steel plate, which changes the signal excitation mechanism from domain wall movement to reversible domain rotations.
CAM: A high-performance cellular-automaton machine
NASA Astrophysics Data System (ADS)
Toffoli, Tommaso
1984-01-01
CAM is a high-performance machine dedicated to the simulation of cellular automata and other distributed dynamical systems. Its speed is about one-thousand times greater than that of a general-purpose computer programmed to do the same task; in practical terms, this means that CAM can show the evolution of cellular automata on a color monitor with an update rate, dynamic range, and spatial resolution comparable to those of a Super-8 movie, thus permitting intensive interactive experimentation. Machines of this kind can open up novel fields of research, and in this context it is important that results be easy to obtain, reproduce, and transmit. For these reasons, in designing CAM it was important to achieve functional simplicity, high flexibility, and moderate production cost. We expect that many research groups will be able to own their own copy of the machine to do research with.
Concept Design of Cryogenic Propellant Storage and Transfer for Space Exploration
NASA Technical Reports Server (NTRS)
Free, James M.; Motil, Susan M.; Kortes, Trudy F.; Meyer, Michael L.; taylor, William J.
2012-01-01
NASA is in the planning and investigation process of developing innovative paths for human space exploration that strengthen the capability to extend human and robotic presence beyond low Earth orbit and throughout the solar system. NASA is establishing the foundations to enable humans to safely reach multiple potential destinations, including the Moon, asteroids, Lagrange points, and Mars and its environs through technology and capability development. To achieve access to these destinations within a reasonable flight time will require the use of high performance cryogenic propulsion systems. Therefore NASA is examining mission concepts for a Cryogenic Propellant Storage and Transfer (CPST) Flight Demonstration which will test and validate key capabilities and technologies required for future exploration elements such as large cryogenic propulsion stages and propellant depots. The CPST project will perform key ground testing in fiscal year 2012 and execute project formulation and implementation leading to a flight demonstration in 2017.
Porous CrN thin films by selectively etching CrCuN for symmetric supercapacitors
NASA Astrophysics Data System (ADS)
Wei, Binbin; Mei, Gui; Liang, Hanfeng; Qi, Zhengbing; Zhang, Dongfang; Shen, Hao; Wang, Zhoucheng
2018-05-01
Transition metal nitrides are regarded as a new class of excellent electrode materials for high-performance supercapacitors due to their superior chemical stability and excellent electrical conductivity. We synthesize successfully the porous CrN thin films for binder-free supercapacitor electrodes by reactive magnetron co-sputtering and selective chemical etching. The porous CrN thin film electrodes exhibit high-capacitance performance (31.3 mF cm-2 at 1.0 mA cm-2) and reasonable cycling stability (94% retention after 20000 cycles). Moreover, the specific capacitance is more than two-fold higher than that of the CrN thin film electrodes in previous work. In addition, a symmetric supercapacitor device with a maximum energy density of 14.4 mWh cm-3 and a maximum power density of 6.6 W cm-3 is achieved. These findings demonstrate that the porous CrN thin films will have potential applications in supercapacitors.
Chung, Ji-Woo; Kim, Kyung-Min; Yoon, Tae-Ung; Kim, Seung-Ik; Jung, Tae-Sung; Han, Sang-Sup; Bae, Youn-Sang
2017-12-22
A novel power partial-discard (PPD) strategy was developed as a variant of the partial-discard (PD) operation to further improve the separation performance of the simulated moving bed (SMB) process. The PPD operation varied the flow rates of discard streams by introducing a new variable, the discard amount (DA) as well as varying the reported variable, discard length (DL), while the conventional PD used fixed discard flow rates. The PPD operations showed significantly improved purities in spite of losses in recoveries. Remarkably, the PPD operation could provide more enhanced purity for a given recovery or more enhanced recovery for a given purity than the PD operation. The two variables, DA and DL, in the PPD operation played a key role in achieving the desired purity and recovery. The PPD operations will be useful for attaining high-purity products with reasonable recoveries. Copyright © 2017 Elsevier B.V. All rights reserved.
On-line early fault detection and diagnosis of municipal solid waste incinerators
DOE Office of Scientific and Technical Information (OSTI.GOV)
Zhao Jinsong; Huang Jianchao; Sun Wei
A fault detection and diagnosis framework is proposed in this paper for early fault detection and diagnosis (FDD) of municipal solid waste incinerators (MSWIs) in order to improve the safety and continuity of production. In this framework, principal component analysis (PCA), one of the multivariate statistical technologies, is used for detecting abnormal events, while rule-based reasoning performs the fault diagnosis and consequence prediction, and also generates recommendations for fault mitigation once an abnormal event is detected. A software package, SWIFT, is developed based on the proposed framework, and has been applied in an actual industrial MSWI. The application shows thatmore » automated real-time abnormal situation management (ASM) of the MSWI can be achieved by using SWIFT, resulting in an industrially acceptable low rate of wrong diagnosis, which has resulted in improved process continuity and environmental performance of the MSWI.« less
Applying the lessons of high risk industries to health care
Hudson, P
2003-01-01
High risk industries such as commercial aviation and the oil and gas industry have achieved exemplary safety performance. This paper reviews how they have managed to do that. The primary reasons are the positive attitudes towards safety and the operation of effective formal safety management systems. The safety culture provides an important explanation of why such organisations perform well. An evolutionary model of safety culture is provided in which there is a range of cultures from the pathological through the reactive to the calculative. Later, the proactive culture can evolve towards the generative organisation, an alternative description of the high reliability organisation. The current status of health care is reviewed, arguing that it has a much higher level of accidents and has a reactive culture, lagging behind both high risk industries studied in both attitude and systematic management of patient risks. PMID:14645741
Power processing for electric propulsion
NASA Technical Reports Server (NTRS)
Finke, R. C.; Herron, B. G.; Gant, G. D.
1975-01-01
The potential of achieving up to 30 per cent more spacecraft payload or 50 per cent more useful operating life by the use of electric propulsion in place of conventional cold gas or hydrazine systems in science, communications, and earth applications spacecraft is a compelling reason to consider the inclusion of electric thruster systems in new spacecraft design. The propulsion requirements of such spacecraft dictate a wide range of thruster power levels and operational lifetimes, which must be matched by lightweight, efficient, and reliable thruster power processing systems. This paper will present electron bombardment ion thruster requirements; review the performance characteristics of present power processing systems; discuss design philosophies and alternatives in areas such as inverter type, arc protection, and control methods; and project future performance potentials for meeting goals in the areas of power processor weight (10 kg/kW), efficiency (approaching 92 per cent), reliability (0.96 for 15,000 hr), and thermal control capability (0.3 to 5 AU).
Hybrid neural network and fuzzy logic approaches for rendezvous and capture in space
NASA Technical Reports Server (NTRS)
Berenji, Hamid R.; Castellano, Timothy
1991-01-01
The nonlinear behavior of many practical systems and unavailability of quantitative data regarding the input-output relations makes the analytical modeling of these systems very difficult. On the other hand, approximate reasoning-based controllers which do not require analytical models have demonstrated a number of successful applications such as the subway system in the city of Sendai. These applications have mainly concentrated on emulating the performance of a skilled human operator in the form of linguistic rules. However, the process of learning and tuning the control rules to achieve the desired performance remains a difficult task. Fuzzy Logic Control is based on fuzzy set theory. A fuzzy set is an extension of a crisp set. Crisp sets only allow full membership or no membership at all, whereas fuzzy sets allow partial membership. In other words, an element may partially belong to a set.
Improving Learner Outcomes in EFL: Does Early Instruction Lead to Greater Achievement?
ERIC Educational Resources Information Center
Çelik, Servet; Karaca, Bilal
2014-01-01
Language education curricula and programs worldwide have begun emphasizing foreign language instruction for learners as young as 5-6 years, particularly in English. Yet, while studies have argued for the benefits of early language instruction, the results of this trend in terms of actual achievement are not clear. For this reason, the researchers…
Consequences of the Confucian Culture: High Achievement but Negative Psychological Attributes?
ERIC Educational Resources Information Center
Ho, Irene T.; Hau, Kit-Tai
2010-01-01
In "Unforgiving Confucian culture: A breeding ground for high academic achievement, test anxiety and self-doubt?" Stankov (in press) provides three reasons for caution against over-glorifying the academic excellence of Confucian Asian learners, namely that it may lead to a reluctance to change their rote learning approach which is not conducive to…
ERIC Educational Resources Information Center
Alghamdi, Fatimah M. A.
2016-01-01
There is consensus among those involved in teaching English as a foreign language (EFL) in the Saudi educational context that students' achievement in language learning is below expectations. Much research has been directed towards finding the reasons for low achievement amongst learners. However, very few studies have looked at parameters of…
Making the Grade: School Achievement in Japan, Taiwan, and the United States.
ERIC Educational Resources Information Center
Stevenson, Harold W.
Recent calls for educational reform have focused on secondary schools, but results emerging from a cross-national study suggest that the reasons for American students' achievement problems lie not only in American schools but also in American homes. In the study, American, Taiwanese, and Japanese first and fifth graders were tested in reading and…
ERIC Educational Resources Information Center
Sadi, Özlem; Çakiroglu, Jale
2014-01-01
This study is aimed at investigating the relationships among students' relevant prior knowledge, meaningful learning orientation, reasoning ability, self-efficacy, locus of control, attitudes toward biology and achievement with the human circulatory system (HCS) using the learning cycle (LC) and the traditional classroom setting. The study was…
A Nation at Risk Revisited: Did "Wrong" Reasoning Result in "Right" Results? At What Cost?
ERIC Educational Resources Information Center
Guthrie, James W.; Springer, Matthew G.
2004-01-01
A Nation at Risk (NAR; National Commission on Excellence in Education, 1983) proclaimed in 1983 that U.S. K-12 educational achievement was on a downward trajectory and that American technological and economic preeminence was consequently imperiled. Both assertions were incorrect. American education achievement was not then declining and the…
Cultural Influences on Gifted Gender Achievement
ERIC Educational Resources Information Center
Freeman, Joan
2004-01-01
In Britain, and reflected in other countries, the academic achievements of gifted girls in school are surpassing those of gifted boys in almost all areas of study and at all ages. This is not true in every country. The British evidence suggests two major reasons for this surge by the gifted girls. Emotionally, British girls are now showing greater…
Measuring Student Scholastic Effort: An Economic Theory of Learning Approach.
ERIC Educational Resources Information Center
Wetzel, James N.
Many research studies which deal with the teaching of economics at the college level conclude that different teaching methods do not lead to very different results in terms of student achievement. This paper suggests that one reason student achievement may fail to demonstrate the superiority of one teaching method over another is that achievement…
ERIC Educational Resources Information Center
Steenman, Sebastiaan C.; Bakker, Wieger E.; van Tartwijk, Jan W. F.
2016-01-01
The first-year grade point average (FYGPA) is the predominant measure of student success in most studies on university admission. Previous cognitive achievements measured with high school grades or standardized tests have been found to be the strongest predictors of FYGPA. For this reason, standardized tests measuring cognitive achievement are…
ERIC Educational Resources Information Center
Qin, Desiree Baolian
2008-01-01
Despite their average high levels of educational achievement, Asian American students often report poor psychological and social adjustment, suggesting an achievement/adjustment paradox. Yet, the reasons for this paradox remain unclear. Drawing on 5-year longitudinal qualitative interview data, this paper compares the family dynamics of two groups…
ERIC Educational Resources Information Center
Primi, Caterina; Donati, Maria Anna; Chiesi, Francesca
2016-01-01
Among the wide range of factors related to the acquisition of statistical knowledge, competence in basic mathematics, including basic probability, has received much attention. In this study, a mediation model was estimated to derive the total, direct, and indirect effects of mathematical competence on statistics achievement taking into account…
What Is High School Economics? Factors Contributing to Student Achievement and Attitudes.
ERIC Educational Resources Information Center
Walstad, William B.; Soper, John C.
1989-01-01
Presents study which extends the analysis of economic understanding and attitudes of high school students using a national data set of the Test of Economic Literacy (TEL). Using matched pre- and posttest scores, the study investigated factors that explained level of posttest economic achievement or attitudes and analyzed reasons for gains in…
Women in Academia: What Can Be Done to Help Women Achieve Tenure?
ERIC Educational Resources Information Center
Mandleco, Barbara
2010-01-01
Women are not tenured at the same rate they are receiving PhDs, and less likely to be tenured when compared to their male counterparts. Reasons women have difficulty achieving tenure include not discussing important information about an academic appointment with colleagues, working part time or as adjunct faculty, being involved in "pastoral or…
Jakobsson, Hugo; Farmaki, Katerina; Sakinis, Augustinas; Ehn, Olof; Johannsson, Gudmundur; Ragnarsson, Oskar
2018-01-01
PURPOSE Primary aldosteronism (PA) is a common cause of secondary hypertension. Adrenal venous sampling (AVS) is the gold standard for assessing laterality of PA, which is of paramount importance to decide adequate treatment. AVS is a technically complicated procedure with success rates ranging between 30% and 96%. The aim of this study was to investigate the success rate of AVS over time, performed by a single interventionalist. METHODS This was a retrospective study based on consecutive AVS procedures performed by a single operator between September 2005 and June 2016. Data on serum concentrations of aldosterone and cortisol from right and left adrenal vein, inferior vena cava, and peripheral vein were collected and selectivity index (SI) calculated. Successful AVS was defined as SI >5. RESULTS In total, 282 AVS procedures were performed on 269 patients, 168 men (62%) and 101 women (38%), with a mean age of 55±11 years (range, 26–78 years). Out of 282 AVS procedures, 259 were successful, giving an overall success rate of 92%. The most common reason for failure was inability to localize the right adrenal vein (n=16; 76%). The success rates were 63%, 82%, and 94% during the first, second, and third years, respectively. During the last 8 years the success rate was 95%, and on average 27 procedures were performed annually. CONCLUSION Satisfactory AVS success rate was achieved after approximately 36 procedures and satisfactory success rate was maintained by performing approximately 27 procedures annually. AVS should be limited to few operators that perform sufficiently large number of procedures to achieve, and maintain, satisfactory AVS success rate. PMID:29467114
Real-time implementation of an interactive jazz accompaniment system
NASA Astrophysics Data System (ADS)
Deshpande, Nikhil
Modern computational algorithms and digital signal processing (DSP) are able to combine with human performers without forced or predetermined structure in order to create dynamic and real-time accompaniment systems. With modern computing power and intelligent algorithm layout and design, it is possible to achieve more detailed auditory analysis of live music. Using this information, computer code can follow and predict how a human's musical performance evolves, and use this to react in a musical manner. This project builds a real-time accompaniment system to perform together with live musicians, with a focus on live jazz performance and improvisation. The system utilizes a new polyphonic pitch detector and embeds it in an Ableton Live system - combined with Max for Live - to perform elements of audio analysis, generation, and triggering. The system also relies on tension curves and information rate calculations from the Creative Artificially Intuitive and Reasoning Agent (CAIRA) system to help understand and predict human improvisation. These metrics are vital to the core system and allow for extrapolated audio analysis. The system is able to react dynamically to a human performer, and can successfully accompany the human as an entire rhythm section.
NASA Astrophysics Data System (ADS)
Houin, G.; Duez, F.; Garcia, L.; Cantatore, E.; Torricelli, F.; Hirsch, L.; Belot, D.; Pellet, C.; Abbas, M.
2016-09-01
The high performance air stable organic semiconductor small molecule dinaphtho[2,3-b:2',3'-f]thieno[3,2-b]thiophene (DNTT) was chosen as active layer for field effect transistors built to realize flexible amplifier circuits. Initial device on rigid Si/SiO2 substrate showed appreciable performance with hysteresis-free characteristics. A number of approaches were applied to simplify the process, improve device performance and decrease the operating voltage: they include an oxide interfacial layer to decrease contact resistance; a polymer passivation layer to optimize semiconductor/dielectric interface and an anodized high-k oxide as dielectric layer for low voltage operation. The devices fabricated on plastic substrate yielded excellent electrical characteristics, showing mobility of 1.6 cm2/Vs, lack of hysteresis, operation below 5 V and on/off current ratio above 105. An OFET model based on variable ranging hopping theory was used to extract the relevant parameters from the transfer and output characteristics, which enabled us to simulate our devices achieving reasonable agreement with the measurements
Howlin, Frances; Halligan, Phil; O'Toole, Sinead
2014-09-01
Equality and disability legislation, coupled with increasing numbers of students with a disability, and inadequate supports in clinical practice, acted as catalysts to explore how best to support undergraduate nursing and midwifery students on clinical placements. Historically, higher education institutions provide reasonable accommodations for theoretical rather than clinical modules for practice placements. This paper describes the development and implementation of a Clinical Needs Assessment designed to identify the necessary supports or reasonable accommodations for nursing and midwifery students with a disability undertaking work placements in clinical practice. The existing literature, and consultation with an expert panel, revealed that needs assessments should be competency based and clearly identify the core skills or elements of practice that the student must attain to achieve proficiency and competence. The five Domains of Competence, advocated by An Bord Altranais, the Nursing and Midwifery Board of Ireland, formed the framework for the Clinical Needs Assessment. A panel of experts generated performance indicators to enable the identification of individualised reasonable accommodations for year 1 nursing and midwifery students in one Irish University. Development and implementation of the Clinical Needs Assessment promoted equality, inclusion and a level playing field for nursing and midwifery students with a disability in clinical practice. Copyright © 2014 Elsevier Ltd. All rights reserved.
What grades and achievement tests measure.
Borghans, Lex; Golsteyn, Bart H H; Heckman, James J; Humphries, John Eric
2016-11-22
Intelligence quotient (IQ), grades, and scores on achievement tests are widely used as measures of cognition, but the correlations among them are far from perfect. This paper uses a variety of datasets to show that personality and IQ predict grades and scores on achievement tests. Personality is relatively more important in predicting grades than scores on achievement tests. IQ is relatively more important in predicting scores on achievement tests. Personality is generally more predictive than IQ on a variety of important life outcomes. Both grades and achievement tests are substantially better predictors of important life outcomes than IQ. The reason is that both capture personality traits that have independent predictive power beyond that of IQ.