Is high soleus muscle activity during the stance phase of the running cycle a potential risk factor for the development of medial tibial stress syndrome? A prospective study

ABSTRACT

To assess the impact of lower-leg muscle activity during the stance phase of running on the development of medial tibial stress syndrome (MTSS), in 123 healthy participants (18.2 ± 0.8 years), dynamic and static foot posture, and soleus and tibialis anterior muscle activity during the stance phase of running were measured before a 17-week track- and field-course. After the course, MTSS was identified in 20.5% of the participants. MTSS participants had a higher body mass (ES = 1.13), body mass index (BMI) (ES = 1.31), lower previous vigorous physical activity level (ES = 0.84) and VO_2max (ES = 0.61), greater dynamic foot pronation (ES = 0.66), higher soleus peak EMG amplitude during the absorption (ES = 0.60) and propulsion phases (ES = 0.56) of running, and a history of MTSS (OR = 6.38) (p < 0.05). Stepwise logistic regression showed BMI, dynamic foot index, soleus peak EMG amplitude during propulsion, MTSS history and previous vigorous physical activity were predictors of MTSS. The model predicted 96.6% of the healthy participants and 56.5% of the MTSS participants and correctly classified 88.4% of overall cases. Coaches and sports-medicine professionals that screen for injury risk should consider adopting a comprehensive evaluation that includes these parameters.     

持续经营不确定性审计意见对财务困境的预测效用——来自中国A股上市公司2007—2011年的经验数据

以2009—2011年连续三年发生财务困境和连续三年财务健康的A股上市公司各351家,共702家为样本,利用2007—2011年的数据,分析持续经营不确定性审计意见对公司财务困境的预测效用,结果表明:会计师事务所出具的持续经营不确定性审计意见对公司的财务困境具有预测效用,距离公司发生财务困境越近的持续经营不确定性审计意见的预测能力越强,声誉好的事务所出具的持续经营不确定性审计意见对公司财务困境的预测能力更强。因此,注册会计师出具的GCO对公司利益相关者具有一定的决策相关性。     

中外优秀十项全能运动员成绩结构的因子分析及回归预测模型研究

通过查阅大量文献资料,采用因子分析方法研究了中外优秀十项全能运动员成绩的内部结构,找出我国运动员与世界级运动员成绩的主要差距.并根据因子分析的结果建立了中外运动员成绩的多元线性回归预测模型,经检验预测精度很高.     

浅谈英语阅读中词义猜测的方法

本着重分析了词汇因素对英语阅读理解的影响，并提出了在阅读过程中猜测词义的几种方法。     

Creating a Context for the Learning of Science Process Skills Through Picture Books

This article provides suggestions on ways in which science process skills can be taught in a meaningful context through children’s literature. It is hoped that the following examples of how process skills can be taught using children’s books will provide a starting point from which primary teachers can create additional examples. Many possibilities exist within the world of children’s literature to develop process skills in a meaningful way.     

时间序列法在高校新生入学率预测中的应用

采用平滑线散点图分析某高校招生部门提供的2005～2009年分省、直辖市所录取新生入学报到率历史数据,应用基于时间序列法的新生入学报到率预测模型预测了2010年14个省、直辖市新生入学报到率,与实际报到率相比较结果显示由模型预测出的2010年新生报到率绝大部分处于置信区间．该模型可为高校招生部门在各省、直辖市投放招生指标提供一种定量决策方法．     

Validity of GRE General Test scores and TOEFL scores for graduate admission to a technical university in Western Europe*

Graduate admission has become a critical process in tertiary education, whereby selecting valid admissions instruments is key. This study assessed the validity of Graduate Record Examination (GRE) General Test scores for admission to Master’s programmes at a technical university in Europe. We investigated the indicative value of GRE scores for the Master’s programme grade point average (GGPA) with and without the addition of the undergraduate GPA (UGPA) and the TOEFL score, and of GRE scores for study completion and Master’s thesis performance. GRE scores explained 20% of the variation in the GGPA, while additional 7% were explained by the TOEFL score and 3% by the UGPA. Contrary to common belief, the GRE quantitative reasoning score showed only little explanatory power. GRE scores were also weakly related to study progress but not to thesis performance. Nevertheless, GRE and TOEFL scores were found to be sensible admissions instruments. Rigorous methodology was used to obtain highly reliable results.     

高职市场调查与预测课程设计浅析

作为高职市场营销专业的基础课程,市场调查与预测课程有很强的实践性。课程教学中应依据高职人才培养目标,建立基于工作过程的学习情境,从分析课程特点入手,明确教学组织与安排,并对教学实施和实施中应注意的问题进行详细的分析,力争做到教、学、做合一。     

提示序列在高炉铁水含硅量预测中的应用

运用“提示序列”方法可以建立了多种高炉铁水含硅量一步预测模型 ,通过用鼓风动能和风量、风温两种方法对预测模型的预测值进行修正 ,查使命中率提高 4 - 5个百分点     

建立体育多因素聚类的灰色系统回归预测模型方法研究

本研究所建立的体育多元回归预测模型的方法，是通过对体育系统中的多因素（元）指标进行聚类分析，找出每一类指标中的典型指标来反映这一类因素指标对所研究的体育系统的影响，通过对各类典型指标进行灰色系统理论和多元回归预测建模分析，来对所研究的体育系统进行科学的预测，从而为体育的科学化决策提供预测信息依据。此方法建立的多元回归预测模型新颖、实用，且预测值的准确性高，并通过了各种量化检验。