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1.
[目的/意义] 提升公民健康水平是经济社会发展到一定程度后的必然要求,健康数据协同治理体系的构建有助于从信息科学角度达成这一要求,治理体系需要以国家战略为宏观指导,全方位服务于公民健康水平提升的总体目标。[方法/过程] 通过对《"健康中国2030"规划纲要》文本精神的领会,在分析了各治理主体对健康信息治理需求的基础上,提出一种面向"健康中国2030"战略的健康数据协同治理体系,并针对关键环节提出保障措施。[结果/结论] 协调各层级、各部门与各利益主体的健康数据治理体系构建与保障,有助于在推动国家健康战略目标的同时实现健康数据的社会价值,拓展健康信息学的研究范畴。  相似文献   
2.
目的:了解不同性别乒乓球运动员完成并步、跳步、跨步3种常用步法时膝关节的负荷特征,并探析乒乓球运动员膝关节的损伤机制。方法:对乒乓球男、女各10名运动员完成3种常用步法动作时的下肢运动学、动力学数据进行采集和处理,并运用方差分析法比较不同性别、不同技术之间的差异。结果:受试者在完成3种步法过程中,膝关节屈角大致范围在20°~60°。当地面反作用力最大时,女运动员比男运动员表现出更小的外展角(P<0.05),跳步比并步和跨步表现出更小的外展角(P<0.05);在三维受力方面,膝关节受到垂直方向上的力最大,水平向后和向左的力次之,未表现出显著的性别差异和技术差异;在三维力矩方面,膝关节受到的伸膝力矩较大,也未表现出显著的性别差异和技术差异。结论:膝关节屈曲状态下,较大的地面反作用力和膝关节外展角易导致乒乓球运动员前交叉韧带损伤,女运动员的损伤风险小于男运动员,跳步的损伤风险小于并步和跨步;水平向后和向左的力易造成乒乓球运动员软骨和半月板损伤;过大的伸膝力矩易导致乒乓球运动员髌腱末端病和髌骨软化。  相似文献   
3.
在抗击新型冠状病毒疫情的众多新闻报道之中,数据新闻作品及数据可视化产品表现抢眼,效果独特,影响广泛,充分体现出数据新闻在新闻事件统计、分析、研判上的独特优势。大数据工具的介入,更让数据新闻从之前的"可视化"阶段衍变进入"工具化"阶段,成为此次公共卫生报道中值得研究的新形态。  相似文献   
4.
[目的/意义] 在科研全面数据化和“十四五”规划的背景下,高校图书馆建设方向和路径对教学和科研具有重大影响,本文旨在提出图书馆智慧化转型的下一步落地和实践思路。[方法/过程] 梳理高校图书馆发展现状,解析发展新态势,以数据意识为出发点,尝试构建智慧图书馆在技术、服务、空间等方面的发展方案。[结果/结论] 智慧图书馆的建设应重点在智能设备、智慧服务平台和智慧空间上“下深功”,此外还需在馆员角色和联盟建设上深入思考。  相似文献   
5.
[目的/意义] 灰色预测法可有效处理情报研究中广泛存在的小样本数据,通过对灰色预测法在情报研究中的应用情况进行梳理,总结其在应用过程中存在的不足,为灰色预测法在情报研究中的进一步应用提供参考。[方法/过程] 通过综述情报研究中涉及灰色预测法的相关文献,从数据选取、模型构建和解决的问题等方面对情报研究中灰色预测法的应用进行概述,总结当前情报研究中灰色预测法的应用所存在的问题,并提出改进建议。[结果/结论] 在方法应用上,已有研究主要采用数列灰预测,且模型集中在单变量灰色预测模型,根据预测对象不同,灰色预测法已经在包括期刊分析、图书馆运行管理、热点主题分析及科研机构评价方面得到了很好的应用,未来可根据预测对象特点及研究目标尝试不同的灰色预测方法,扩宽灰色预测法在其他方面的情报研究问题中的应用。  相似文献   
6.
Abstract

How does a small community college library, without marketing experience or budget, advocate for its value to a campus community and its administrators? We did so by creating an engaging, bright, and easy-to-read “pocket-graphic.” In this column, we reflect on the process of shaping a multi-use product out of a mountain of data. Through research in design practices, field observations of popular information tools, and an uncomfortable step into braggadocio, we learned to articulate the successes of our library. Our “pocket-graphic” told our story, yes – but it also provoked surprise, questions (“you really have all that?”) and delight in the lesser known successes (“you really DO all that!”). In the process, we connected our students more deeply to helpful services and resources, faculty to supportive instruction, and positively changed the tone of conversation with all our stakeholders. By turning data points into selling points, we found insights and a focus that moved our own development forward, helping ourselves to define improved priorities for advancing our critical role in student success.  相似文献   
7.
This study examines the impact of the caste-class association on enrolment in elementary education in Uttar Pradesh (UP), the largest state of India. Using data from the 71st round of NSSO, with the help of a probit model, it is found that class has a stronger impact on the enrolment ratio than caste in UP. There is a strong and direct association between caste and class at the extremes of the caste system. The association between upper-caste and upper-class significantly augments the enrolment ratio, while the association between lower caste and lower class adversely affects it. However, the cross-associations at the higher side of class, i.e., lower caste with the upper class significantly augments enrolment but the association between lower class with upper-caste is found to be adversely affecting the enrolment, though some of the interaction terms are insignificant statistically. This also ensures the dominance of class effect. This pattern is observed in the case of both rural and urban UP across genders.  相似文献   
8.
Imbalanced sample distribution is usually the main reason for the performance degradation of machine learning algorithms. Based on this, this study proposes a hybrid framework (RGAN-EL) combining generative adversarial networks and ensemble learning method to improve the classification performance of imbalanced data. Firstly, we propose a training sample selection strategy based on roulette wheel selection method to make GAN pay more attention to the class overlapping area when fitting the sample distribution. Secondly, we design two kinds of generator training loss, and propose a noise sample filtering method to improve the quality of generated samples. Then, minority class samples are oversampled using the improved RGAN to obtain a balanced training sample set. Finally, combined with the ensemble learning strategy, the final training and prediction are carried out. We conducted experiments on 41 real imbalanced data sets using two evaluation indexes: F1-score and AUC. Specifically, we compare RGAN-EL with six typical ensemble learning; RGAN is compared with three typical GAN models. The experimental results show that RGAN-EL is significantly better than the other six ensemble learning methods, and RGAN is greatly improved compared with three classical GAN models.  相似文献   
9.
Assessing comfort of running footwear reliably is challenging. The purpose of this study was to compare the intra-rater reliability between different assessment types, to calculate intra-individual reliability scores and to evaluate the effect of rater selection based on individual reliability scores on group level reliability. Three assessment types: ranking, Visual Analogue Scale (VAS), and Likert Scale (LS) were provided twice in six separate sessions among 30 participants, who assessed comfort of five shoes after treadmill running. Spearman's rho provided an evaluation of inter-session relative reliability and typical error as a measure of absolute reliability for each assessment type. Ranking (r?=?0.70, 95% confidence interval [CI] 0.61–0.78) yielded the highest relative reliability for overall comfort, followed by VAS (r?=?0.67, 95% CI 0.56–0.75) and LS (r?=?0.63, 95% CI 0.52–0.72), with large-scale overlaps of CIs between assessment types. The same order of assessment types was found for the percentage of reliable raters (r?≥?0.7) with 60% in ranking scale, 47% in VAS and 37% in LS. Forming subgroups corresponding to the intra-individual reliability substantially increased group level reliabilities. Based on measures of relative reliability, an extreme reduction in resolution as provided by the ranking from pairwise comparisons seems to be a valuable tool in footwear comfort assessments if assessment time is of minor importance. No preference can be provided for the two investigated rating scales. Besides the assessment type, a selection of the best raters in additional reliability checks seems to be a prerequisite for further comfort-related studies.  相似文献   
10.
科学数据共享研究现状与展望   总被引:2,自引:0,他引:2  
[目的/意义] 分析科学数据共享的研究现状及其发展趋势,为促进国内相关理论研究与实践进展提供参考。[方法/过程] 通过对国内外文献进行梳理和归纳,提炼出与科学数据共享研究相关的三大类主题:科学数据共享发展需求、科学数据管理共享模式与机制和科学数据服务共享度与服务效果,并构建科学数据共享管理分析框架,该框架体现上述三类主题之间的因果关联,强调科学数据共享管理与服务的合理面、重要度、关键性。[结果/结论] 国内外现有研究尚存不足,未来研究在加强实证研究、着眼管理机制完善的同时,还需注重共享服务模式的创新。  相似文献   
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