师范院校体育教育专业篮球普修课教学改革的思考

通过对师范院校体育教育专业篮球教学目标、教学内容、教学模式、课的结构及对学生的学业成绩评价进行分析和思考 ,提出了当今篮球教学中存在的问题及其解决方法。     

对雅典奥运会中国男子篮球队赛中防守能力的分析

用数理统计结合比赛录像分析的方法,对雅典奥运会男子篮球赛中国队防守的情况进行分析。从对方的得分、失误、被抢断、被封盖、助攻、以及篮板球等指标分析,结果显示:与世界强队相比,中国队在防守的攻击性(抢断、封盖、犯规)和干扰性(对方失误、得分、助攻)方面存在较大差距;篮板球技术指标差距不明显。     

篮球运动员赛前心理准备与调节

赛前心理训练是篮球运动员必备的专业素质之一，它的作用在于挖掘心理潜力、发挥心理优势，使运动员的身体素质、技术水平和心理水平在比赛中达到最佳竞技状态，只有这样，运动员才能临阵不慌，在激烈的角逐中获得主动．     

高校田径全能运动员赛前焦虑水平调控研究

采用马腾斯等人编制的竞赛状态焦虑问卷及调节运动员赛前焦虑的方法,对高校田径全能运动员赛前焦虑调控进行了实验研究,结果表明,高校田径全能运动员赛前一个月的焦虑水平较高,自信心较低;对赛前焦虑实施调节后取得了比较理想的效果,为最佳竞技状态的形成奠定了良好的基础.     

第三十届奥运会男篮赛中国队攻防能力的RSR综合评价分析

本文运用RSR秩和比法对2012年第三十届伦敦奥运会男篮B组赛攻防能力进行综合评价分析,旨为中国男篮比赛攻防能力作出客观定位;找出技术层面存在的差距,为今后有针对性训练提供有益参考.     

Yolov7-pose识别运动员姿态时关键点异常的消除方法

本研究首先构建了深度聚合网络（deep layer aggregation,DLA）,用于替换Yolov7-pose算法中原有的特征融合网络,增强了特征的表达;其次,将高效聚合网络（efficient layer aggregation Net, ELAN）和尺度感知注意力网络（scale-aware attention Net, SAAN）融合在一起,引入到Yolov7-pose算法中;然后,引入尺度因子到Yolov7-pose算法的损失函数中,并通过实验确定尺度因子最佳值。实验结果表明,经过本法改进的方法识别篮球比赛视频流中的多名运动员姿态时,不再出现关键点异常现象,姿态识别的精度达到95%以上,运行效率达到24 FPS以上,综合性能显著优于原始Yolov7-pose算法等算法。     

试论素质教育在篮球教学中的实施及作用

从运动生理学、心理学的角度 ,并结合篮球运动的特点 ,论述了在篮球教学中注重创新能力、综合素质的培养 ,能促进学员形成创造性思维和良好的战术意识习惯。     

论篮球运动员的“对抗能力”

通过查阅文献法与逻辑分析法及专家访谈法,对篮球运动员的"对抗能力"问题进行了总结,阐明了篮球运动员的"对抗能力"是有多种因素决定的能力,揭示了篮球运动是身体接触的对抗运动,从而对提高中国篮球运动员的对抗能力和篮球运动理论研究和实践的发展具有一定的借鉴意义.     

Analysis of tamoxifen and its main metabolites in plasma samples of breast cancer survivor female athletes: Multivariate and chemometric optimization

A sensitive method based on liquid chromatography combined with a diode array detector was developed and validated to simultaneously determine tamoxifen, and its active metabolites N-desmethyltamoxifen, 4-hydroxytamoxifen, and endoxifen in human plasma samples. The green and sustainable vortex-assisted dispersive liquid-phase microextraction technique based on the natural hydrophobic deep eutectic solvent was used for the extraction and preconcentration of the analytes. Chemometrics and multivariate analysis were used to optimize the independent variables including the type and volume of deep eutectic solvent, extraction time, and ionic strength. Under optimal conditions, calibration curves were linear in a suitable range with the lower limits of quantification (0.8–10.0 μg/L), which covered the relevant concentrations of the analytes in plasma samples for a clinical study. Intra- and interday precision evaluated at three concentrations for the analytes were lower than 8.2 and 12.1%, respectively. Accuracy was in the range of 94.9–104.7%. The applicability of the developed method on human plasma samples illustrated the range 45.1–72.8, 98.4–128.3, 0.9–1.2, and 2.7–6.1 μg/L for tamoxifen, N-desmethyltamoxifen, 4-hydroxytamoxifen, and endoxifen, respectively. The validated method can be effective for the pharmacokinetics, pharmacodynamics, and therapeutic drug monitoring studies of tamoxifen and its main metabolites in biological fluids.     

Wearable Sweat Sensors: Background and Current Trends

Sweat‐related physiology research has been well established over the years. However, it has only been around ten years that sweat‐based sensing devices started to be explored. With the recent advancements in wearable activity and physiology monitoring devices, sweat was investigated for its contents similar to blood and corresponding wearable devices were studied intensively. This article provides a thorough review on sweating mechanisms, sweat sensing devices, and electronic technologies for sweat sensor implementations. Potential future directions and recommendations based on current research trends were provided in each section. This review aims to offer a unique perspective from both physiology and engineering point‐of‐view to draw a complete landscape of the sweat sensing research.