武术套路图示教学法的尝试与阐释

武术套路技术教学具有可行性、实效性。与传统的教学法相比,有利于激发学生学习的积极性,能有效地培养学生的独立性和创造性,有助于发挥学生的主体作用和教师的主导作用。     

武术运动员的能量代谢特点及其生理生化测评

从生理学和生物化学的角度对武术运动进行研究,正引起武术科研工作者越来越多的关注。研究武术运动的能量代谢特点,根据该特点把握运动负荷,促进疲劳恢复,对武术科学化训练有着较为重要的意义。     

Ein interaktionsbasiertes Modell für den objektorientierten Integrations- und Regressionstest

Zusammenfassung.   Bei der iterativen, inkrementellen Software-Entwicklung werden Klassen sukzessive spezifiziert, implementiert bzw. ge?ndert oder erweitert, klassengetestet und zu einem ausführbaren Anwendungssystem integriert. Integrations- und Regressionstest stellen dabei besonders wichtige und h?ufig ausgeführte Testaktivit?ten dar, die zudem aufgrund der vielf?ltigen Interaktionsm?glichkeiten in objektorientierten Programmen sehr komplex sind. Integrations- und Regressionstest werden in der Literatur stets separat behandelt, obwohl sie durchaus ?hnliche Teilaktivit?ten beinhalten. Bestehende Ans?tze zum objektorientierten Integrationstest betrachten entweder strukturelle oder verhaltensorientierte Systembeschreibungen. In diesem Beitrag stellen wir das Klassen-Botschaftsdiagramm (KBD) vor, ein Struktur und Verhalten objektorientierter Programme gleicherma?en berücksichtigendes interaktionsbasiertes (Test-)Modell. Wir skizzieren Algorithmen zur ?nderungsanalyse, Ableitung einer Integrationsstrategie und Auswahl von Regressionstestf?llen nach der Modifikation bestehender Klassen. Abschlie?end werden die Ergebnisse einiger mit Smalltalk-80 Klassen durchgeführter Experimente zur Evaluierung des Verfahrens vorgestellt. Eingegangen am 14. Dezember 1999 / Angenommen am 19. Juni 2000     

电力系统应用软件小组测试过程

软件质量是软件的生命,软件测试是保证软件质量的重要手段。提高软件测试过程的质量则可以减少测试费用,保证测试的有效性。结合对某电力系统应用软件的第三方系统测试,说明软件测试过程的基本方法与实施过程。     

"信息检索与利用"网络课程辅助系统--智能测试系统的设计

对智能测试系统的开发进行了详细介绍，提出并实现了该系统的两个重要部分——题库系统和网上考试系统，题库系统中的标准化试题系统、试卷系统对提高教学质量起到推动性作用。网上考试系统具有智能性特点。     

模拟智能BIT测试微处理机系统板

机内测试技术(Built-inTest,简称BIT)是一种能显著改善装备或系统测试性与诊断能力的重要技术手段。智能机内测试模拟系统是运用智能BIT技术的理论,开发出的一个对硬件设备在线测试的模拟系统。它是在Windows操作系统下,利用嵌入式C语言开发出来的,嵌入式C语言现广泛应用于各种硬件测试及开发环境中。智能机内测试模拟系统在对智能的模拟方面运用数组、随机函数等方法来实现,从而体现出智能机内测试的特点。本文描述了系统中对微处理机系统板部分的测试过程。     

Reproducibility of objectively measured physical activity: Reconsideration needed

ABSTRACT

Reliability of accelerometer-determined physical activity (PA), and thus the required length of a monitoring period, appears to depend on the analytic approach used for its calculation. We compared reliability of objectively measured PA using different resolution of data in a sample of 221 Norwegian 2–6-year-old children providing 2–3 valid 14-day periods of accelerometer monitoring (ActiGraph GT3X+) during September–October, January–February, and May–June 2015–2016. Reliability (intra-class correlation [ICC]) was measured for 1–14 days of monitoring across the measurement periods using linear mixed effect modelling. These results were compared to reliability estimated using different resolution of data using the Spearman–Brown formula. The measured reliability improved only marginally with increased monitoring length and levelled off after 5–6 days. Estimated reliability differed substantially when derived from different resolution of data: 3.9–5.4, 6.7–9.2, 13.4–26.7 and 26.3–87.7 days of monitoring was required to achieve an ICC = 0.80 using an hour-by-hour, a day-by-day, a week-by-week and a period-by-period approach, respectively. Reliability could not be correctly estimated from any single resolution of data. We conclude that reconsideration is needed with regard to how reproducibility of objectively measured PA is analysed and interpreted.     

浅析运动强度对运动员血氨值的影响及相关研究

血氨作为一项新的运动生化检测指标已经广泛应用到体育实践中,尤其是在体育科学领域受到了广泛关注。针对我院20名足球专项运动员进行了两次不同运动强度的训练:短跑—400m全速跑;足球赛—90min的足球对抗赛。实验结果表明:运动员完成相应负荷运动后血氨值显著高于安静状态测值(P<0.01),表明其与运动强度的高度相关性。实验结果提示:血氨指标能够较精确地评价运动员的运动负荷强度、机体的机能状态、疲劳程度及恢复情况。     

用Z检验考察大学生的文献信息检索能力

阐述了如何利用教育统计学中的Z检验，考察不同类型大学生的献信息检索能力是否存在真正差异。     

How to evaluate rankings of academic entities using test data

In the field of scientometrics, impact indicators and ranking algorithms are frequently evaluated using unlabelled test data comprising relevant entities (e.g., papers, authors, or institutions) that are considered important. The rationale is that the higher some algorithm ranks these entities, the better its performance. To compute a performance score for an algorithm, an evaluation measure is required to translate the rank distribution of the relevant entities into a single-value performance score. Until recently, it was simply assumed that taking the average rank (of the relevant entities) is an appropriate evaluation measure when comparing ranking algorithms or fine-tuning algorithm parameters.With this paper we propose a framework for evaluating the evaluation measures themselves. Using this framework the following questions can now be answered: (1) which evaluation measure should be chosen for an experiment, and (2) given an evaluation measure and corresponding performance scores for the algorithms under investigation, how significant are the observed performance differences?Using two publication databases and four test data sets we demonstrate the functionality of the framework and analyse the stability and discriminative power of the most common information retrieval evaluation measures. We find that there is no clear winner and that the performance of the evaluation measures is highly dependent on the underlying data. Our results show that the average rank is indeed an adequate and stable measure. However, we also show that relatively large performance differences are required to confidently determine if one ranking algorithm is significantly superior to another. Lastly, we list alternative measures that also yield stable results and highlight measures that should not be used in this context.