背景:由身体接触性运动或交通事故造成的脑震荡远比人们想象的更为严重与常见,近年来引起了媒体、医学界及体育界的广泛关注与高度重视。目的:采用文献计量学方法对有限元方法在脑震荡领域的研究热点与趋势进行可视化分析,从而为中国在...背景:由身体接触性运动或交通事故造成的脑震荡远比人们想象的更为严重与常见,近年来引起了媒体、医学界及体育界的广泛关注与高度重视。目的:采用文献计量学方法对有限元方法在脑震荡领域的研究热点与趋势进行可视化分析,从而为中国在该领域的研究提供一定的参考。方法:基于Web of Science核心集数据库进行文献检索,检索主题词策略为(TS=(Concussion)) AND TS=(Finite element),利用CiteSpace 6.2.R4可视化工具对纳入文献的作者、国家、机构、关键词及被引文献等进行可视化分析。结果与结论:(1)共计纳入215篇文献,发文量与被引量总体上呈上升趋势;学科分布涉及生物医学工程、生物物理学、运动科学、临床神经学及神经科学等学科,呈现多学科交叉融合的趋势;发文量最多的作者是来自爱尔兰都柏林大学的Gilchrist M,发文量最多的机构是渥太华大学,发文量最多的国家是美国。(2)通过关键词分析发现研究的热点聚焦于脑损伤模型的建立用来模拟和预测脑震荡的损伤;脑震荡损伤机制的解析;防护设备和装置的优化设计。(3)通过文献共被引分析发现脑损伤的预测与评估是该领域的知识基础亦是研究热点。(4)有限元方法运用在脑震荡领域的研究热点主要围绕头部损伤预测为主题展开,结合探索大脑损伤机制以及防护装备的设计与改进。(5)随着人工智能与材料学的进步,未来有限元方法在脑震荡损伤领域的研究热点将集中于脑损伤模型、测试方法与防护装备的改进。展开更多
Extreme value theory provides methods to analyze the most extreme parts of data. We used the generalized extreme value (GEV) distribution to predict the ultimate 100 m, 200 m, 400 m, 4 × 100 m relay, and long jum...Extreme value theory provides methods to analyze the most extreme parts of data. We used the generalized extreme value (GEV) distribution to predict the ultimate 100 m, 200 m, 400 m, 4 × 100 m relay, and long jump records of male gold medalists at the Olympics. The diagnostic plots, which assessed the accuracy of the GEV model, were fitted to all event records, validating the model. The 100 m, 200 m, 400 m, 4 × 100 m, and long jump records had negative shape parameters and calculated upper limits of 9.58 s, 19.18 s, 42.97 s, 36.71 s, and 9.03 m, respectively. The calculated upper limit in the 100 m (9.58 s) was equal to the record of Usain Bolt (August 16, 2009). The 100 m and 200 m world records were close to the calculated upper limits, and achieving the calculated limit was difficult. The 400 m and 4 × 100 m relay world records were almost equal to the calculated upper limits and the 500-year return level estimate, and slight improvement was possible in both. At the Tokyo Olympics in August 2021, in the 100 m, 200 m, and 4 × 100 m, in one year the probability of occurrence for a record was about 1/30. In the 400 m and long jump, it was about 1/20. In the 100 m, 200 m, and 4 × 100 m relay, more difficult records show that a fierce battle has taken place.展开更多
文摘背景:由身体接触性运动或交通事故造成的脑震荡远比人们想象的更为严重与常见,近年来引起了媒体、医学界及体育界的广泛关注与高度重视。目的:采用文献计量学方法对有限元方法在脑震荡领域的研究热点与趋势进行可视化分析,从而为中国在该领域的研究提供一定的参考。方法:基于Web of Science核心集数据库进行文献检索,检索主题词策略为(TS=(Concussion)) AND TS=(Finite element),利用CiteSpace 6.2.R4可视化工具对纳入文献的作者、国家、机构、关键词及被引文献等进行可视化分析。结果与结论:(1)共计纳入215篇文献,发文量与被引量总体上呈上升趋势;学科分布涉及生物医学工程、生物物理学、运动科学、临床神经学及神经科学等学科,呈现多学科交叉融合的趋势;发文量最多的作者是来自爱尔兰都柏林大学的Gilchrist M,发文量最多的机构是渥太华大学,发文量最多的国家是美国。(2)通过关键词分析发现研究的热点聚焦于脑损伤模型的建立用来模拟和预测脑震荡的损伤;脑震荡损伤机制的解析;防护设备和装置的优化设计。(3)通过文献共被引分析发现脑损伤的预测与评估是该领域的知识基础亦是研究热点。(4)有限元方法运用在脑震荡领域的研究热点主要围绕头部损伤预测为主题展开,结合探索大脑损伤机制以及防护装备的设计与改进。(5)随着人工智能与材料学的进步,未来有限元方法在脑震荡损伤领域的研究热点将集中于脑损伤模型、测试方法与防护装备的改进。
文摘Extreme value theory provides methods to analyze the most extreme parts of data. We used the generalized extreme value (GEV) distribution to predict the ultimate 100 m, 200 m, 400 m, 4 × 100 m relay, and long jump records of male gold medalists at the Olympics. The diagnostic plots, which assessed the accuracy of the GEV model, were fitted to all event records, validating the model. The 100 m, 200 m, 400 m, 4 × 100 m, and long jump records had negative shape parameters and calculated upper limits of 9.58 s, 19.18 s, 42.97 s, 36.71 s, and 9.03 m, respectively. The calculated upper limit in the 100 m (9.58 s) was equal to the record of Usain Bolt (August 16, 2009). The 100 m and 200 m world records were close to the calculated upper limits, and achieving the calculated limit was difficult. The 400 m and 4 × 100 m relay world records were almost equal to the calculated upper limits and the 500-year return level estimate, and slight improvement was possible in both. At the Tokyo Olympics in August 2021, in the 100 m, 200 m, and 4 × 100 m, in one year the probability of occurrence for a record was about 1/30. In the 400 m and long jump, it was about 1/20. In the 100 m, 200 m, and 4 × 100 m relay, more difficult records show that a fierce battle has taken place.
