Covid-19: Emerging Considerations for Body Sourcing and Handling. A Perspective View from Nigeria

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.     

Cross-company customer churn prediction in telecommunication: A comparison of data transformation methods

Cross-Company Churn Prediction (CCCP) is a domain of research where one company (target) is lacking enough data and can use data from another company (source) to predict customer churn successfully. To support CCCP, the cross-company data is usually transformed to a set of similar normal distribution of target company data prior to building a CCCP model. However, it is still unclear which data transformation method is most effective in CCCP. Also, the impact of data transformation methods on CCCP model performance using different classifiers have not been comprehensively explored in the telecommunication sector. In this study, we devised a model for CCCP using data transformation methods (i.e., log, z-score, rank and box-cox) and presented not only an extensive comparison to validate the impact of these transformation methods in CCCP, but also evaluated the performance of underlying baseline classifiers (i.e., Naive Bayes (NB), K-Nearest Neighbour (KNN), Gradient Boosted Tree (GBT), Single Rule Induction (SRI) and Deep learner Neural net (DP)) for customer churn prediction in telecommunication sector using the above mentioned data transformation methods. We performed experiments on publicly available datasets related to the telecommunication sector. The results demonstrated that most of the data transformation methods (e.g., log, rank, and box-cox) improve the performance of CCCP significantly. However, the Z-Score data transformation method could not achieve better results as compared to the rest of the data transformation methods in this study. Moreover, it is also investigated that the CCCP model based on NB outperform on transformed data and DP, KNN and GBT performed on the average, while SRI classifier did not show significant results in term of the commonly used evaluation measures (i.e., probability of detection, probability of false alarm, area under the curve and g-mean).     

圈操器械技术运用规律的研究

以文献资料、图像解析、统计分析法为主要研究手段,在对近3届奥运周期艺术体操国际评分规则比较研究的基础上,针对圈操器械技术的运用趋势与规律作了较深入的探寻.结果表明,器械技术在成套动作中的数量与类型大幅增加;在与不同类型的身体难度动作结合中呈现出不同的规律.     

GM(1,1)模型灰色预测法Visual Foxpro计算程序

本文详细介绍了在Visual Foxpro6．O中编制的MGl1．PRG计算程序及其运行方法。     

中国科学计量指标数据库的设计与实现

简单介绍了中国科学计量指标数据库, 详细阐述了如何进行数据分析和系统设计, 以及指标数据库的功能实现。     

数据挖掘在数字图书馆中的应用

在描述数据挖掘技术与方法基础之上，探讨了数据挖掘在数字图书馆中的应用空间以及其所具有的巨大应用价值。     

厚数据研究综述

文章通过回顾厚数据研究的理论起源和发展,利用WOS和CNKI检索相关文献,梳理国内外厚数据研究现状,剖析和解读研究中的前沿热点和问题,为后续研究提供支持和建议。当前国内外厚数据相关研究主要集中在厚数据定义研究、厚数据应用场景研究和厚数据分析方法研究等方面,未来应继续围绕基础研究问题进行深入探索和改进,并尝试在厚数据融合研究、厚数据方法研究和厚数据应用研究等方面不断进行拓展。     

网上稿件处理问题的思考

针对目前网上稿件管理存在许多问题,如稿件丢失、稿件漏发等,分析了产生问题的原因,给出了一个完善、系统的稿件处理分流图.     

数字图书馆服务登记系统数据模型设计

在现有服务多维度描述思想的指导下,以IESR数据模型为基础,设计了数字图书馆服务登记系统数据模型。它包括服务、业务、机构、资源和方法5个核心实体,使数字图书馆服务能够被有效地发布和发现。由DLSR数据模型向UDDI散据模型的映射,可以为DLSR的建设提供一种基于UDDI注册中心的直接的解决方案。     

虚拟参考咨询中用户投诉处理机制探究

处理用户投诉是图书馆服务管理的重要内容,以参考咨询服务工作最为常见.为此,对用户投诉对象的内容、具体流程进行分析,提出若干注意事项及服务补救措施.