Exploring adverse drug reactions of diabetes medicine using social media analytics and interactive visualizations

The aim of this study is to propose an automatic and real-time social media analytics framework with interactive data visualizations to support effective exploration of knowledge about adverse drug reaction (ADR) surveillance. This proposed framework has been prototypically implemented on the basis of social media data. A longitudinal diabetes patient online community data (AskaPatient.com) as well as FDA Adverse Event Reporting Systems (FAERS) data as a benchmark were used to evaluate our proposed approach’s performance. Based on the results, our approach significantly increases the precision and accuracy for ADR extraction. The number of ADR cases, the time when the ADRs occurred, and the rating of Glucophage have been visualized that resulted by mining a collection of 870 ADRs posted in Askapatents.com over a certain time period (from 2001 to 2015). The results have important implications for pharmaceutical companies and hospitals wishing to monitor ADRs of medicines.     

大数据背景下科学元数据的重要问题研究

科学元数据是加强科学数据管理和共享服务的重要手段之一。数据密集型的科研范式和大数据技术的广泛应用突显了科学数据的重要作用,也对科学元数据的内容、形式和功能等方面提出了新的要求和挑战。本文在对科学元数据的发展现状进行分析的基础上,梳理了科学元数据的相关定义和功能要求,进而从可追溯性、可关联性和互操作性三个方面阐述了大数据背景下的新要求,最后讨论了相关技术及其发展趋势。     

Creating value from Social Big Data: Implications for Smart Tourism Destinations

This paper aims to demonstrate how the huge amount of Social Big Data available from tourists can nurture the value creation process for a Smart Tourism Destination. Applying a multiple-case study analysis, the paper explores a set of regional tourist experiences related to a Southern European region and destination, to derive patterns and opportunities of value creation generated by Big Data in tourism. Findings present and discuss evidence in terms of improving decision-making, creating marketing strategies with more personalized offerings, transparency and trust in dialogue with customers and stakeholders, and emergence of new business models. Finally, implications are presented for researchers and practitioners interested in the managerial exploitation of Big Data in the context of information-intensive industries and mainly in Tourism.     

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

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.     

大数据视域下的档案安全管理体系构建及可引入技术分析

在大数据视域下,以档案管理理论和信息系统安全理论为基础,参考国家相关法规及标准,结合档案管理工作实务,研究当下档案管理工作中的风险,在此基础上初步构建起档案安全管理体系,并对可引入该体系的实用技术进行分析。     

论灌阳县丧葬仪式“大歌”的庞杂性特征

灌阳县丧葬仪式之中的“大歌”,纳数百桩事于一体,内容博而杂；集百千言为一歌,结构长而大,此二者相辅相成,造就了包罗灌阳历史和现实,收尽生活种种现象的长大篇章,同时也造就其庞杂性特征。这一特性,当地居民用一字概而括之,谓之曰“大”。     

The intermediating role of organizational culture and internal analytical knowledge between the capability of big data analytics and a firm’s performance

Firms are increasingly relying on business insights obtained by deploying data analytics. Analytics-driven business decisions have thus taken a strategic imperative role for the competitive advantage of a firm to endure. The extent and effectiveness through which business firms can actually derive benefits by deploying big data-based practices requires deep analysis and calls for extensive research. This study extends the big data analytics capability (BDAC) model by examining the mediatory effects of organizational culture (CL) between internal analytical knowledge (KN) and BDAC, as well as the mediating effects of BDAC between CL and firm performance. The findings bring into focus that CL plays the role of complementary mediation between BDAC and KN to positively impact firm performance (FP); BDAC also plays a similar mediatory role between CL and the performance of a firm.     

两都赋：经济的浮华与文化的废墟——贾平凹的《废都》与叶辛的《华都》的比较研究

《废都》与《华都》均反映了商业化进程对文化的冲击以及人文精神的丧失；表现了著名男性的魅力以及对女性的强大诱惑力，表达了人文学者的自恋情结；在赤裸裸的性爱展示中流露出对女性的歧视；在身心疲惫后，试图在城乡的碰撞中寻找人的精神家园。同时，二者还有巨大的不同：《废都》表现的是历史辉煌过后的废墟，《华都》表现的繁华现实背后掩藏的历史废墟；庄之蝶与女性的交往是一种救赎，姚征冬与女性的交往却是对自我身份的一种确证；贾平凹以乡村来匡正城市的荒漠化，而叶辛却把上海与贵州相提并论。两位作家的情绪表现都充满着遗老遗少味，对现代性的拒绝表明了他们的边缘化与无可奈何。     

大数据时代图书馆信息服务发展及对策研究

以大数据时代下的图书馆信息服务为研究背景,通过分析这一时代背景下的图书馆信息服务发展需求,从事业管理、技术应用、人才培养等三个方面提出了大数据时代的图书馆信息服务发展策略.     

图书馆大用户服务战略研究

图书馆用户群包括关键的少数用户和相对次要的多数用户,少数核心用户被称为大用户.图书馆通过基于学科馆员制的服务架构为大用户提供个性化信息服务,并对大用户实行分级动态管理.划分大用户和普通用户的主要目的是充分关注用户的个性化需求.使图书馆有限的资源和经费发挥最大的效益.