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1.
The current Coronavirus disease (Covid-19) pandemic has spread to about 220 countries of the world and has resulted in a significant number of deaths globally. Infections are still on the rise, and the impact on the global death rate could be devastating. There are fears over the likely impact of a large number of deaths on body sourcing and handling of cadavers for teaching and research. Historically, epidemics come with several challenges and have often led to some level of negligence of ethical practices and health and safety regulations associated with body sourcing and handling. The authors highlighted some emerging problems in this article, focusing on Africa and Nigeria in particular. These problems include a higher risk of coronavirus exposure for body handlers, shortage of cadavers for teaching and learning, a lack of standard regulations leading to unethical body sourcing and handling, and a lack of monitoring and collaboration needed for a well-coordinated Covid-19 pandemic response strategy. If these issues are ignored, the previous gains made in anatomical ethical practices may be destroyed. Some useful recommendations for policymaking geared toward prevention or curtailing these emerging issues have been instilled in this article.  相似文献   
2.
The COVID-19 outbreak has had a profound impact on education worldwide. As a result of the educational institutions closures, it is likely that the impact on special education would be more detrimental since special education population becomes more vulnerable in the aftermath of an outbreak. In the scope of this study, a researcher created survey was used to examine educators’ teaching experiences and their perceptions about the impact of COVID-19 outbreak on special education students. The sample included 215 educators working in the Special Education and Rehabilitation Centers (SERCs) in Turkey. Results indicated that a large majority of the SERCs were not able to continue their education during the COVID-19 outbreak. In addition, there was a difference in educators’ experiences by their educational practices (normal weekly schedule, reduced schedule, most of the educational activities are suspended, and all of the educational activities are suspended). Perceived level of COVID-19 outbreak impact on special education students were found to be significantly higher for autism spectrum disorders, intellectual disabilities, attention deficit and hyperactivity disorders, visual impairments, hearing impairments, specific learning disabilities and gifted students, respectively. The conclusion highlights the need of global collaboration, disaster preparation and management for students with special needs.  相似文献   
3.
[目的/意义] 在数据驱动范式情境下,揭示政府门户网站开放数据状态及其主体行为状态之间的内部关联,推动政府数据开放效果和进程。[方法/过程] 采用爬虫方法抓取上海市政府数据门户网站中各开放数据集,在对各数据集指标进行相关分析的基础上,采用Stepwise探索其回归关系,筛选得出关联度较高的变量;进一步对关系显著的变量进行PLS回归检验,得出政府开放数据状态与其主体行为状态的内部关联。[结果/结论] 在政府数据开放进程中,政府部门的主体行为比数据自身的客体特征对公众主体行为的影响更大。在影响公众评分的因素中,政府开放保密级别的影响因子最大,且具有显著负向影响作用;政府更新频率、政府首次开放时间、数据格式可机读性对公众评分具有显著正向影响作用。  相似文献   
4.
叶兰 《图书情报工作》2020,64(13):51-57
[目的/意义] 对比分析数据管理能力成熟度模型,为图书馆选择与应用数据管理能力成熟度模型提供参考方案。[方法/过程] 通过模型文本的研究,介绍各模型的结构。采用比较分析法从评价维度(功能域)的设置、模型的组织体系、评价标准与规则、可操作性、公开度等5个方面对7个数据管理能力成熟度模型进行评析。[结果/结论] 每个模型具有其特色功能。CMMI、DMM、DCAM和中国DCMM的评价维度较为全面,中国DCMM即中国-数据中心服务能力成熟度模型具有较强的操作性,且其定量与定性相结合的评价方法值得借鉴。研究数据管理的能力成熟度模型(雪城大学秦健教授团队)和研究数据管理能力成熟度模型(澳大利亚ANDS)考虑图书馆数据管理的实际情况,可作为首选模型。基于各模型的对比与评析结果,形成3种适应不同情境的图书馆选择与应用数据管理能力成熟度模型的方案。  相似文献   
5.
李楠  张超  路璐  邹沐宏 《图书情报工作》2020,64(15):151-156
[目的/意义] 以中国科学院文献情报中心"中国科讯"为例,分析专业图书馆应急科学传播服务的举措及成效,为应急事件下专业图书馆科学传播服务提供借鉴。[方法/过程] 梳理新冠肺炎疫情期间"中国科讯"微信公众号推送的服务内容,从日均用户增长和阅读量分析用户对不同类型内容的关注程度,提出应急科学传播服务的思考。[结果/结论] 疫情期间,"中国科讯"日均用户增长明显,电子资源保障类内容阅读量最高,其次为新冠病毒科技攻关进展相关内容、科普类直播和信息素养教育直播观看人数达到数万人。应急事件下,专业图书馆应加强特色服务的宣传、加强信息甄选和审核机制,重大公共卫生事件下应急科学传播工作预案缺失也需引起重视。  相似文献   
6.
[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   
7.
[目的/意义] 探索构建文献情报大数据知识资源体系,支撑面向多领域的智慧知识服务。[方法/过程] 基于AI应用需求,借鉴业界经验,梳理现有资源体系的问题,从多层次多维度扩展资源体系;构建可靠数据处理流程和计算平台,支持高效数据采集和处理;研发智能化数据治理工具,实现知识资源的有效治理,确保提供高质量数据资源。[结果/结论] 已初步形成覆盖多类型、多学科的科技文献大数据知识资源体系,构建完成高度自动化的数据采集治理流程,实施多重数据质量控制,积累数亿高质量数据,且为多个知识服务提供数据支撑。  相似文献   
8.
This paper uses a calibrated “pedagogical production function” model to estimate the potential long-term losses to children’s learning from the temporary shock of Covid-19 related school closures. It then models possible gains from two mitigation strategies. Without mitigation, children could lose more than a full year’s worth of learning from a three-month school closure because they will be behind the curriculum when they re-enter school and will fall further behind as time goes on. Remediation when children return to school reduces the long-term learning loss by half, but still leaves children more than half a year behind where they would have been with no shock. Remediation combined with long-term reorientation of curriculum to align with children’s learning levels fully mitigates the long-term learning loss due to the shock and surpasses the learning in the counterfactual of no shock by more than a full year’s worth of learning. Systems need to begin planning now for remediation programmes, and as they do so they should build programmes and train teachers in ways that can continue to produce benefits beyond the period immediately following reopening.  相似文献   
9.
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   
10.
Self‐reported measures are an easy, time‐efficient, and low‐cost way to collect research data compared to other assessment methods. They are, however, characterized by several limitations regarding the quality and the clarity of the data they produce, especially when they are implemented in education. The main purpose of the current study was to use a method called discrete choice modeling (DCM) in education, in order to develop a self‐reported instrument that will reduce the bias for socially desirable responses and to assess teachers’ practices in physical activity. DCM method has the ability to overcome the respondents’ tendency to answer in a socially desirable way. A nationally representative sample of 531 Greek early educators participated in this study and were administered a self‐assessment questionnaire based on DCM. Results showed that the DCM based newly developed instrument manages to assess effectively educators’ practices and provided evidence of the applicability of the method in education. Further implications and future recommendations regarding the effective application of DCM in education are discussed.  相似文献   
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