医院数字化药品库房管理应用研究——以江西省某三甲医院为例

本文以建立一个数字化的新型医院药品库房,提高准确率和工作效率为目的。利用二维码技术、移动数据采集技术和无线网络,将传统模式下药品验收、盘点、药品请领等工作环节充分电子化。新模式下药品验收入库、盘点、药品请领完成时间分别减少70%、41%和40%。数字化技术显著提高了录入的效率和准确率,减轻工作人员的工作负荷。     

从文献统计分析看诱导多能干细胞的研究

诱导多能干细胞是近年来干细胞研究的焦点,本文基于pubmed数据库,通过对诱导多能干细胞的文献检索,利用TDA及spss软件,对诱导多能干细胞的文献进行年代分布、重要来源期刊、多产作者及研究热点的统计分析,旨在探讨ips的研究现状及其发展态势。     

数字化图书馆平台开发之Struts2应用

以实例介绍了Struts2在数字图书馆中的应用。     

城市化对家庭CO2排放影响的区域差异————基于中国省级面板数据的分析

随着中国城市化的快速发展,家庭部门成为CO₂排放的重要增长点.本文在计算2000-2012年30个省(直辖市,自治区,除港,澳,台,西藏外)家庭CO₂排放的基础上,构建面板模型分析了城市化对其影响的区域差异.结果表明:①城市化发展促进了30个省(直辖市,自治区)家庭CO₂排放的增加,但是区域差异较大.城市化水平对家庭直接CO₂排放影响程度高的省份,集中在东部和东北地区,如上海,黑龙江和吉林等;城市化水平对家庭间接CO₂排放影响程度高的省份,集中在东部地区,如上海,北京,浙江和广东等;影响程度中等和低的省份主要交错分布在中国中部,西部地区,如宁夏,贵州以及安徽;②进一步从消费支出弹性视角分析了区域差异的原因,发现城市化水平对家庭CO₂排放影响越高的区域,其CO₂排放的消费支出弹性越高.直接CO₂排放的弹性差异主要与汽油,电力消费的增加幅度有关,间接CO₂排放的弹性差异主要与来自工业部门的消费支出增加幅度有关.因此,在城市化水平对家庭直接CO₂排放影响程度高的区域,重点是发展公共交通并注重日常生活节能;在城市化水平对家庭间接CO₂排放影响程度高的区域,重点是提高工业部门的能源使用效率.     

Cell membrane-covered nanoparticles as biomaterials

Surface engineering of synthetic carriers is an essential and important strategy for drug delivery in vivo. However, exogenous properties make synthetic nanosystems invaders that easily trigger the passive immune clearance mechanism, increasing the retention effect caused by the reticuloendothelial systems and bioadhesion, finally leading to low therapeutic efficacy and toxic effects. Recently, a cell membrane cloaking technique has been reported as a novel interfacing approach from the biological/immunological perspective, and has proved useful for improving the performance of synthetic nanocarriers in vivo. After cell membrane cloaking, nanoparticles not only acquire the physiochemical properties of natural cell membranes but also inherit unique biological functions due to the presence of membrane-anchored proteins, antigens, and immunological moieties. The derived biological properties and functions, such as immunosuppressive capability, long circulation time, and targeted recognition integrated in synthetic nanosystems, have enhanced their potential in biomedicine in the future. Here, we review the cell membrane-covered nanosystems, highlight their novelty, introduce relevant biomedical applications, and describe the future prospects for the use of this novel biomimetic system constructed from a combination of cell membranes and synthetic nanomaterials.     

期刊CiteScore评价研究

【目的】 比较CiteScore与影响因子(IF)在学术期刊评价中的异同。【方法】 以2012—2016年Scopus与Web of Science数据库同时收录的期刊为数据来源,通过R语言测评样本期刊CiteScore指数与IF数据库中2年影响因子(IF2)、5年影响因子(IF5)的相关性。【结果】 2012—2016年期刊的Citescore值均与IF2及IF5呈线性相关。CiteScore统计范围涵盖所有文章类型,因此许多综合类期刊的CiteScore值低于IF值,但对于只发表研究论文和综述论文的期刊,CiteScore值高于IF值。【结论】 CiteScore覆盖面更广,并且兼顾IF2和IF5两个数值的特点,期刊IF计算方式与期刊收录学科仍存在问题。     

高强度的环境规制能够促进国内大气科技创新吗？——以〖SO〗_2排放控制技术为例

从理论上来说,波特弱假说涉及双重外部性问题,即大气污染的负外部性和技术创新的正外部性,环境规制和知识产权保护合力才能予以切实彻底解决,而后者并没有得到普遍重视。本文认为,波特弱假说需要考虑知识产权保护强度。以SO_2排放控制技术为例,本文运采用2000-2013年省际省份面板数据,结合固定效应模型进行实证研究检验了知识产权保护对于波特弱假说的作用。结果发现,当知识产权保护较弱时,环境规制对大气科技创新具有呈现负向影响;。只有当知识产权保护较强时力度超过一定阈值时,环境规制才会对大气科技创新产生正向影响,波特弱假说成立。此外,环境规制和知识产权保护影响大气科技创新的交叉效应主要出现在企业,而非科研院所和个人,创新主体存在明显的差异性。     

基于系统性文献回顾法的新型研发机构研究与展望

本文以国内经济管理领域 2003年至2019 年的179篇文献为样本,使用系统性文献回顾法(SLR),探索和总结了新型研发机构的研究现状及其知识结构,分析现有研究的缺失并尝试寻找未来的研究趋势。研究发现: 第一,新型研发机构的知识结构由9个部分构成一个2W1H的主题研究框架。第二,从国家、产业和企业层面分别总结了阻碍新型研发机构发展的因素及其提升对策建议。第三,从研究知识模块、研究切入角度和研究趋势拓展3个方面解剖现有知识断层,并对未来的研究提出具体可行的对策建议     

Understanding the topic evolution of scientific literatures like an evolving city: Using Google Word2Vec model and spatial autocorrelation analysis

Topic evolution has been described by many approaches from a macro level to a detail level, by extracting topic dynamics from text in literature and other media types. However, why the evolution happens is less studied. In this paper, we focus on whether and how the keyword semantics can invoke or affect the topic evolution. We assume that the semantic relatedness among the keywords can affect topic popularity during literature surveying and citing process, thus invoking evolution. However, the assumption is needed to be confirmed in an approach that fully considers the semantic interactions among topics. Traditional topic evolution analyses in scientometric domains cannot provide such support because of using limited semantic meanings. To address this problem, we apply the Google Word2Vec, a deep learning language model, to enhance the keywords with more complete semantic information. We further develop the semantic space as an urban geographic space. We analyze the topic evolution geographically using the measures of spatial autocorrelation, as if keywords are the changing lands in an evolving city. The keyword citations (keyword citation counts one when the paper containing this keyword obtains a citation) are used as an indicator of keyword popularity. Using the bibliographical datasets of the geographical natural hazard field, experimental results demonstrate that in some local areas, the popularity of keywords is affecting that of the surrounding keywords. However, there are no significant impacts on the evolution of all keywords. The spatial autocorrelation analysis identifies the interaction patterns (including High-High leading, High-Low suppressing) among the keywords in local areas. This approach can be regarded as an analyzing framework borrowed from geospatial modeling. Moreover, the prediction results in local areas are demonstrated to be more accurate if considering the spatial autocorrelations.     

BitTorrent下载技术研究

BitTorrent是第四代网络下载技术,是一种多点下载、源码公开的p2p软件,通过构建覆盖网实现协作并发下载.BitTorrent协议是一种公开的P2P协议,分为节点问协议和节点与跟踪器协议.