Physique and performance for track and field events

Evidence of the importance of physique in the athletics disciplines is supported by the persistence of certain characteristics over long periods, despite marked secular changes in the source population. These characteristics may also result in physiological benefits such as effective thermoregulation or a greater power-to-weight ratio. Coaches and athletes are often convinced of weight or fat loss benefits based on personal or anecdotal experience, intuition, and "trained eye" observation of successful competitors. This may entice athletes into adopting unbalanced, erratic or highly restrictive eating patterns that increase the risk for nutrient deficiencies, and disordered eating. Despite heavy training loads and often extreme diets, some athletes fall short of their physique goals as ultimately phenotype is under genetic control. Professionals assisting athletes with physique management need to be highly skilled in anthropometry and require a thorough understanding of sports-specific nutrition requirements. Careful assessment of the risks and benefits of various approaches to weight and fat loss is required before they are recommended to athletes.     

Effects of a motivational climate inntervention for coaches on young athletes' sport performance anxiety

The mastery approach to coaching is a cognitive-behavioral intervention designed to promote a mastery-involving motivational climate, shown in previous research to be related to lower anxiety in athletes. We tested the effects of this intervention on motivational climate and on changes in male and female athletes'cognitive and somatic performance anxiety over the course of a basketball season. Hierarchical linear modeling analyses revealed that the athletes in the intervention condition perceived their coaches as being more mastery-involving on the Motivational Climate Scale for Youth Sports when compared to athletes in an untreated control condition. Relative to athletes who played for untrained coaches, those who played for the trained coaches exhibited decreases on all subscales of the Sport Anxiety Scale-2 and on total anxiety score from preseason to late season. Control group athletes reported increases in anxiety over the season. The intervention had equally positive effects on boys and girls teams.     

Neuroanatomy Learning: Augmented Reality vs. Cross-Sections

Neuroanatomy education is a challenging field which could benefit from modern innovations, such as augmented reality (AR) applications. This study investigates the differences on test scores, cognitive load, and motivation after neuroanatomy learning using AR applications or using cross-sections of the brain. Prior to two practical assignments, a pretest (extended matching questions, double-choice questions and a test on cross-sectional anatomy) and a mental rotation test (MRT) were completed. Sex and MRT scores were used to stratify students over the two groups. The two practical assignments were designed to study (1) general brain anatomy and (2) subcortical structures. Subsequently, participants completed a posttest similar to the pretest and a motivational questionnaire. Finally, a focus group interview was conducted to appraise participants’ perceptions. Medical and biomedical students (n = 31); 19 males (61.3%) and 12 females (38.7%), mean age 19.2 ± 1.7 years participated in this experiment. Students who worked with cross-sections (n = 16) showed significantly more improvement on test scores than students who worked with GreyMapp-AR (P = 0.035) (n = 15). Further analysis showed that this difference was primarily caused by significant improvement on the cross-sectional questions. Students in the cross-section group, moreover, experienced a significantly higher germane (P = 0.009) and extraneous cognitive load (P = 0.016) than students in the GreyMapp-AR group. No significant differences were found in motivational scores. To conclude, this study suggests that AR applications can play a role in future anatomy education as an add-on educational tool, especially in learning three-dimensional relations of anatomical structures.     

Test–retest reliability of a battery of field-based health-related fitness measures for adolescents

Abstract

The main aim of this study was to determine the test–retest reliability of existing tests of health-related fitness. Participants (mean age 14.8 years, s = 0.4) were 42 boys and 26 girls who completed the study assessments on two occasions separated by one week. The following tests were conducted: bioelectrical impedance analysis (BIA) to calculate percent body fat, leg dynamometer, 90° push-up, 7-stage sit-up, and wall squat tests. Intra-class correlation (ICC), paired samples t-tests, and typical error expressed as a coefficient of variation were calculated. The mean percent body fat intra-class correlation coefficient was similar for boys (ICC = 0.95) and girls (ICC = 0.93), but the mean coefficient of variation was considerably higher for boys than girls (22.2% vs. 12.2%). The boys' coefficients of variation for the tests of muscular fitness ranged from 9.0% for the leg dynamometer test to 26.5% for the timed wall squat test. The girls' coefficients of variation ranged from 17.1% for the sit-up test to 21.4% for the push-up test. Although the BIA machine produced reliable estimates of percent body fat, the tests of muscular fitness resulted in high systematic error, suggesting that these measures may require an extensive familiarization phase before the results can be considered reliable.     

基于一般P-C矩阵的R族科学发展节律指标——科学发展节律指标研究(1)

一论文集的一般P-C矩阵由论文数据和引文数据两部分组成.基于一般P-C矩阵并引入"等时性"概念,我们创建了关键变量Ck.Ck表示的是不同年份发表的论文在各自发表后第k年的引文数量的平均值.借助Ck可以构建R族科学发展节律指标,定义为引文观察值和引文期望值的比值,用于反映科学发展的节律.R族指标包括4项指标①指标R--被引年视角加三角形引文窗口;②指标R′--被引年视角加平行四边形引文窗口;③指标r--引用年视角加三角形引文窗口;④指标r′--引用年视角加平行四边形引文窗口.以Journal of Documentation为例,本文具体说明了R族序列的计算和R族指标的应用.     

Mathematical properties of Q-measures

Q-measures are network indicators that gauge a node's brokerage role between different groups in the network. Previous studies have focused on their definition for different network types and their practical application. Little attention has, however, been paid to their theoretical and mathematical characterization. In this article we contribute to a better understanding of Q-measures by studying some of their mathematical properties in the context of unweighted, undirected networks. An external Q-measure complementing the previously defined local and global Q-measure is introduced. We prove a number of relations between the values of the global, the local and the external Q-measure and betweenness centrality, and show how the global Q-measure can be rewritten as a convex decomposition of the local and external Q-measures. Furthermore, we formally characterize when Q-measures obtain their maximal value. It turns out that this is only possible in a limited number of very specific circumstances.     

Is procedure acquisition as unstable as it seems?

Are students’ mathematical procedures as unstable as they seem? Students often produce different errors in response to the same kind of problems on different testing occasions. This finding is puzzling. Past research has shown that students induce overly general procedures from worked-out examples during learning, which lead to a host of predictable errors on new problems. Do students create rule-based errors only to then switch between them at random? In this paper, we show that seemingly diverse errors on two different testing episodes may result from the same underlying stable procedure and are part of the same error category. These findings suggest that students’ errors are more stable on a category vs. on an individual level. The current study consists of teaching students addition in a new number system, called NewRoman, and analyzing students’ solution strategies in detail. Implications for teaching are discussed.     

A teacher education program in elementary science that connects content,methods, practicum,and student teaching

Conclusion To educate teachers who have adequate content knowledge, possess the necessary skills to implement effective teaching strategies, and are confident and have positive attitudes toward science and the teaching of science, alternative teaching models are necessary. The University of Wyoming model provides such an alternative. Based on observations and interviews of students and the mentor teachers, it is apparent that it has created a very positive response in prospective teachers who have participated in it. The Wyoming model provided an effective process to train future elementary teachers. Even though it focused on science, the basis is general enough that it could be successfully extended to other disciplines with only minor modifications; however, all of the major components of the Wyoming model are vital to its success. Content courses designed specifically for prospective teachers have been successful in giving the students the content knowledge and providing opportunities for effective modeling. The seminars provide strong mechanisms to connect content to methodology and make the content relevant to teaching and to children. Because of their modeling, peer coaching, and sharing their time and students, the mentor teachers are essential partners in helping the university educate future teachers. Finally, the cooperation of all partners—district administrators, teachers, science content and science education university faculty, and students—is necessary to provide early and continuous experiences to prospective teachers. This material is based upon work supported in part by a grant from the National Science Foundation (Grant No. TTE-8851105). Any opinions, findings, conclusions, and/or recommendations expressed in this article are those of the authors and do not necessarily reflect those of the NSF.