我国高危险性体育项目的立法缺陷及其完善     

汪全胜  宋琳璘  张奇 《武汉体育学院学报》2020,54(6):46-53

高危险性体育项目相对一般体育项目而言，是具有危险性大、专业技术性强、安全保障要求高等特点的体育活动。我国对高危险性体育项目有一定的法律规制，但存在顶层设计缺失、法律制度之间的冲突与不一致、可操作性不足等问题。这些制度缺陷产生的根源在于对立法必要性的认识不足、立法不作为，缺乏有效的立法监督机制等，现有制度的缺陷与不足会影响我国高危险性体育项目的发展，难以满足人们体育文化活动的需要。鉴于此，我国应逐步完善高危险性体育项目的法律规制，包括完善高危险性体育项目的审定主体，明确经营高危险性体育项目的主体范围、完善高危险性体育项目的行政许可条件、强化高危险体育项目行政监管以及风险防范等。  相似文献   

高职院校顶岗实习管理机制构建探析     

李耀辉  许春龙  赵成 《苏州市职业大学学报》2021,(1)

顶岗实习是实现高职人才培养目标的重要途径。鉴于当前高职顶岗实习中学校、学生及教师各层面都存在的问题,重新设计了顶岗实习的流程体系,通过校、企、师、生、家五方联动,构建了五途径保障实习岗位、两维度驱动实习成效、四层次规范实习管理、三主体强化实习评价的“五二四三”顶岗实习模式,实现学生、企业、教师、家长、导师和学校的六方共赢。  相似文献   

Genetic Polymorphism of Angiotensin II Type 1 Receptors and Their Effect on the Clinical Outcome of Captopril Treatment in Arab Iraqi Patients with Acute Coronary Syndrome (Mid Euphrates)     

Fadhaa A. Ghafil  Bassim I. Mohammad  Hussain S. Al-Janabi  Najah R. Hadi  Hayder A. Al-Aubaidy 《Indian journal of clinical biochemistry : IJCB》2021,36(1):81

Genetic variation in the angiotensin II type 1 receptor (AT1R) has an important effect on the outcome of acute coronary syndrome (ACS) initiated treatment with captopril. This study aims to investigate the impact of genetic polymorphism of AT1R (rs5186 and rs275651) on the ACS outcome in Iraqi patients treated with captopril. A total of 250 Iraqi individuals with ACS were included in this case—control study and they were divided into two study groups; Study group 1 included 125 participants who were prescribed captopril, 25 mg twice daily and study group 2 included 125 participants who received no captopril as part of their ACS treatment (control study). The AT1R gene (rs5186) CC genotype was found to be associated with ST-elevation myocardial infarction (STEMI) (Odd’s ratio (O.R) = 1.2, P = 0.7), while AC was associated with Non-ST-elevation myocardial infarction (NSTEMI) and unstable angina (UA) (O.R = 1.2, P = 0.8). AC genotype is more prone to have Percutaneous coronary intervention (PCI) after ACS attack (O.R = 1.2, P = 0.6). CC genotype had a risk to get less improvement (O.R = 1.6, P = 0.5), so might require higher doses of captopril during acute coronary insult. The AT1R gene (rs275651) AA genotype was associated with UA (O.R = 1.3, P = 0.9). AA and AT genotypes were more prone to have PCI after ACS attack (O.R = 3.9 P = 0.2, O.R = 3.5, P = 0.3 respectively) and thus requiring higher doses of captopril. We conclude that the AT1R rs5186, rs275651 genetic polymorphisms might partially affect the clinical outcome of ACS patients treated with captopril and might have captopril resistance which requires higher doses.  相似文献   

Online portfolio management via deep reinforcement learning with high-frequency data     

《Information processing & management》2023,60(3):103247

Recently, models that based on Transformer (Vaswani et al., 2017) have yielded superior results in many sequence modeling tasks. The ability of Transformer to capture long-range dependencies and interactions makes it possible to apply it in the field of portfolio management (PM). However, the built-in quadratic complexity of the Transformer prevents its direct application to the PM task. To solve this problem, in this paper, we propose a deep reinforcement learning-based PM framework called LSRE-CAAN, with two important components: a long sequence representations extractor and a cross-asset attention network. Direct Policy Gradient is used to solve the sequential decision problem in the PM process. We conduct numerical experiments in three aspects using four different cryptocurrency datasets, and the empirical results show that our framework is more effective than both traditional and state-of-the-art (SOTA) online portfolio strategies, achieving a 6x return on the best dataset. In terms of risk metrics, our framework has an average volatility risk of 0.46 and an average maximum drawdown risk of 0.27 across the four datasets, both of which are lower than the vast majority of SOTA strategies. In addition, while the vast majority of SOTA strategies maintain a poor turnover rate of approximately greater than 50% on average, our framework enjoys a relatively low turnover rate on all datasets, efficiency analysis illustrates that our framework no longer has the quadratic dependency limitation.  相似文献   

知识找回场景下推荐系统模拟实现及评价研究     

程秀峰  张孜铭  孟亚琪  范晓莹  杨金庆 《图书情报工作》2019,63(16):72-83

[目的/意义]信息过载一直是知识工作者在搜集、处理和创造知识的过程中所面临的主要困境。这种困境导致的结果之一是很难回忆起曾经使用过的文档的内容细节及具体位置，而推荐系统则能减少这样的困难。通过研究对比不同推荐系统在这一任务下的优缺点，可以帮助知识工作者更好地完成回忆任务。[方法/过程]基于相关理论，在同一场景（知识找回）模拟实现并测试了4种不同类型的推荐过程，包括基于内容的推荐CBR、基于协同过滤的推荐CFR、基于推理网络的推荐INR与融入了情境感知的推荐CAS，根据所确定的若干指标（精确性、情境相关性、预测性、多样性）对推荐效果进行比较。[结果/结论]结果显示，以上推荐系统在帮助用户回忆并找回文档过程中都有各自的优势，而基于情境感知的推荐系统在情境相关性与预测用户行为方面具有较好的效果。  相似文献   

Understanding the majority opinion formation process in online environments: An exploratory approach to Facebook     

Sangwon Lee  Taehyun Ha  Daeho Lee  Jang Hyun Kim 《Information processing & management》2018,54(6):1115-1128

Majority opinions are often observed in the process of social interaction in online communities, but few studies have addressed this issue with empirical data. To identify an appropriate theoretical lens for explaining majority opinions in online environments, this study investigates the skewness statistic, which indicates how many “Likes” are skewed to major comments on a Facebook post; 3489 posts are gathered from the New York Times Facebook page for 100 days. Results show that time is not an influential factor for skewness increase, but the number of comments has a logarithmic relation to skewness increase. Regression models and Chow tests show that this relationship differs depending on topic contents, but majority opinions are significant in overall. These results suggest that the bandwagon effect due to social affordance can be a suitable mechanism for explaining majority opinion formation in an online environment and that majority opinions in online communities can be misperceived due to overestimation.  相似文献   

下一代图书馆系统平台的实践与思考     

邵波  张文竹 《图书情报工作》2019,63(1):98-104

[目的/意义]大数据与人工智能等技术为图书馆智慧服务带来机遇与挑战，图书馆新系统平台建设刻不容缓。旨在探讨下一代图书馆系统平台发展现状及对策，为建设一流高校智慧图书馆提供实践案例与参考依据。[方法/过程]梳理图书馆系统平台发展脉络，在盘点现有的国内外下一代图书馆系统平台的研究与实践的基础上，以南京大学为例，探索图书馆新系统平台的建设方案。[结果/结论]智慧图书馆将通过建设一体化电子资源管理平台并打造NLSP，提升图书馆资源管控和知识服务水平，构建开放共享的智慧图书馆服务体系。  相似文献   

美国体育小镇的运行机制及其对中国的启示     

王峰  郑国华  陈宁 《武汉体育学院学报》2019,53(4):26-33

体育是美国人生活中不可或缺的一部分，发达的体育文化为美国小镇体育的繁荣奠定了基础。研究以美国体育小镇为对象，运用文献资料、实地考察、逻辑分析及ArcGIS地理信息绘图等方法和技术对美国体育小镇进行了研究。结果表明：美国体育小镇的布局属非均匀化发展，存在东强西弱，南强北弱的特点且表现出"马太效应"。进而从社会学的角度分析了美国体育小镇运行的外部环境和内在动力机制，并以典型案例对体育小镇运行特点进行了剖析。建议我国体育小镇的建设应从目标引领、政策驱动、环境支持、形成正反馈循环和塑造灵魂等方面思考以推动体育小镇的建设。  相似文献   

Assessing the effects of consumers’ product evaluations and trust on repurchase intention in e-commerce environments     

《International Journal of Information Management》2018

This study enhances the existing literature on online trust by integrating the consumers’ product evaluations model and technology adoption model in e-commerce environments. In this study, we investigate how perceived value influences the perceptions of online trust among online buyers and their willingness to repurchase from the same website. This study proposes a research model that compares the relative importance of perceived value and online trust to perceived usefulness in influencing consumers’ repurchase intention. The proposed model is tested using data collected from online consumers of e-commerce. The findings show that although trust and e-commerce adoption components are critical in influencing repurchase intention, product evaluation factors are also important in determining repurchase intention. Perceived quality is influenced by the perceptions of competitive price and website reputation, which in turn influences perceived value; and perceived value, website reputation, and perceived risk influence online trust, which in turn influence repurchase intention. The findings also indicate that the effect of perceived usefulness on repurchase intention is not significant whereas perceived value and online trust are the major determinants of repurchase intention. Major theoretical contributions and practical implications are discussed.  相似文献   

An extension of the technology acceptance model in the big data analytics system implementation environment     

Surabhi Verma  Som Sekhar Bhattacharyya  Saurav Kumar 《Information processing & management》2018,54(5):791-806

Research on the adoption of systems for big data analytics has drawn enormous attention in Information Systems research. This study extends big data analytics adoption research by examining the effects of system characteristics on the attitude of managers towards the usage of big data analytics systems. A research model has been proposed in this study based on an extensive review of literature pertaining to the Technology Acceptance Model, with further validation by a survey of 150 big data analytics users. Results of this survey confirm that characteristics of the big data analytics system have significant direct and indirect effects on belief in the benefits of big data analytics systems and perceived usefulness, attitude and adoption. Moreover, there are mediation effects that exist among the system characteristics, benefits of big data analytics systems, perceived usefulness and the attitude towards using big data analytics system. This study expands the existing body of knowledge on the adoption of big data analytics systems, and benefits big data analytics providers and vendors while helping in the formulation of their business models.  相似文献