CSSCI与科学学类源期刊学术影响力初步分析

本文介绍了CSSCI及其基本功能 ,尤其对于合理评价我国人文社会科学研究具有重要意义。以 8种科学学类CSSCI源期刊为对象 ,利用CSSCI生成的影响因子等部分指标和相应数据 ,初步分析了该类期刊的学术影响力。     

电子公共服务环境影响因素及影响规律分析

随着电子公共服务应用的深入,政府管理者越来越关心哪些因素对电子公共服务水平存在影响、影响规律如何及如何利用这些规律来有效地提高电子公共服务水平等.本文以我国地方政府电子公共服务建设水平为研究对象,首先构建了地方政府电子公共服务建设水平影响因素的分析框架,该框架包括内部环境与外部环境两方面.然后采用问卷调查获取了我国地方政府电子公共服务水平的数据,结合政府行政环境数据,应用因子分析、聚类分析、单因素方差分析等方法对电子公共服务环境影响因素进行了论证与分析.进一步,文章深入讨论了环境影响因素对电子公共服务水平的影响规律.分析结果为政府部门进行电子公共服务建设决策提供了科学依据.     

根据用户的浏览行为确定网页页面等级的方法

本文分析了用户的浏览行为特征。根据用户在页面中的滞留时间和用户对页面中的超文本链的点击情况 ,建立了计算页面等级的综合法 ,并建立了相应的数学模型     

Four pitfalls in normalizing citation indicators: An investigation of ESI’s selection of highly cited papers

InCites Essential Science Indicators is becoming increasingly used to identify top-performing research and evaluate the impact of institutes. Unfortunately, our study shows that ESI indicators, as well as other normalized citation indicators, have the following flaws. First, the publication month and the online-to-print delay affect a paper’s probability of becoming a Highly Cited Paper (HCP). Papers published in the earlier months of the year are more likely to accumulate enough citation counts to rank at the top 1% compared with those published in later months of the year. Papers with longer online-to-print delays have an apparent advantage for being selected as HCPs. Research field normalizations lead to the third pitfall. Different research fields have different citation thresholds for HCPs, making research field classification important for a journal. In addition, the uniform thresholds for both articles and reviews in ESI affect the reliability of HCP selection because, on average, reviews tend to have higher citation rates than articles. ESI’s selection of HCPs provides an intuitive feel for the problems of normalized citation impact indicators, such as those provided in InCites and SciVal.     

新旧《固定资产》准则的比较与思考

固定资产是企业进行生产经营活动所必须拥有的劳动资料,因此对固定资产的管理非常重要。本文在认真比较新旧固定资产准则在定义、初始计量、后续支出等方面差异的基础上,分析了新《固定资产》准则的实施对企业的资产结构、利润和所有者权益等的影响。     

Effects of purposeful soccer heading on circulating small extracellular vesicle concentration and cargo

BackgroundConsidering the potential cumulative effects of repetitive head impact (HI) exposure, we need sensitive biomarkers to track short- and long-term effects. Circulating small extracellular vesicles (sEVs) (<200 nm) traffic biological molecules throughout the body and may have diagnostic value as biomarkers for disease. The purpose of this study was to identify the microRNA (miRNA) profile in circulating sEVs derived from human plasma following repetitive HI exposure.MethodsHealthy adult (aged 18–35 years) soccer players were randomly assigned to one of 3 groups: the HI group performed 10 standing headers, the leg impact group performed 10 soccer ball trapping maneuvers over 10 min, and the control group did not participate in any soccer drills. Plasma was collected before testing and 24 h afterward, and sEVs were isolated and characterized via nanoparticle tracking analysis. Next-generation sequencing was utilized to identify candidate miRNAs isolated from sEVs, and candidate microRNAs were analyzed via quantitative polymerase chain reaction. In silico target prediction was performed using TargetScan (Version 7.0; targetscan.org) and miRWalk (http://mirwalk.umm.uni-heidelberg.de/) programs, and target validation was performed using luciferase reporter vectors with a miR-7844-5p mimic in human embryonic kidney (HEK) 293T/17 cells.ResultsPlasma sEV concentration and size were not affected across time and group following repetitive HI exposure. After 24 h, the HI read count from next-generation sequencing showed a 4-fold or greater increase in miR-92b-5p, miR-423-5p, and miR-24-3p and a 3-fold or greater decrease in miR-7844-5p, miR-144-5p, miR-221-5p, and miR-22-3p. Analysis of quantitative polymerase chain reaction revealed that leg impact did not alter the candidate miRNA levels. To our knowledge, miR-7844-5p is a previously unknown miRNA. We identified 8 miR-7844-5p mRNA targets: protein phosphatase 1 regulatory inhibitor subunit 1B (PPP1R1B), LIM and senescent cell antigen-like domains 1 (LIMS1), autophagy-related 12 (ATG12), microtubule-associated protein 1 light chain 3 beta (MAP1LC3B), integrin subunit alpha-1 (ITGA1), mitogen-activated protein kinase 1 (MAPK1), glycogen synthase kinase 3β (GSK3β), and mitogen-activated protein kinase 8 (MAPK8).ConclusionCollectively, these data indicate repetitive HI exposure alters plasma sEV miRNA content, but not sEV size or number. Furthermore, for the first time we demonstrate that previously unknown miR-7844-5p targets mRNAs known to be involved in mitochondrial apoptosis, autophagy regulation, mood disorders, and neurodegenerative disease.     

战略环境影响评价的理性范式思考

SEA是以提高战略决策质量为目标的技术辅助工具,以标准化的程序方法模式来进行决策的环境影响识别、预测和评价,以物理环境的技术研究为侧重。然而,因为战略本身的复杂性和政治特征,有学者认为,SEA应该更侧重于提供不同利益团体共识达成的平台,在形式上具备对决策背景的可适应性和灵活性,不应该以标准化来僵化自身。有关两种模式的争论与目前学术界对工具理性、价值理性、非理性和交往理性的争论不无渊源。借用理性范式这个视角对SEA的两种模式进行深层思考,分析两种模式的各自长短之处,寻找互补的可能性,期望能够对SEA的发展提供可供借鉴的观点。     

提高科技期刊影响因子的途径探讨

分析科技期刊影响因子的主要影响因素,探讨提高科技期刊影响因子的途径.     

期刊PR8指数:一个新的跨学科期刊评价指标及其实证研究

[目的/意义] 基于论文被引频次8个区段百分位数排序（percentile rank 8,PR8）赋分,尝试构建新的跨学科期刊评价指标：期刊PR8指数（journal index for PR8,JIPR8）,并检验JIPR8的跨学科期刊评价效果。[方法/过程] 选择JCR中8个学科301种期刊作为研究对象,分别计算每种期刊的JIPR8,并与其他几个跨学科期刊评价指标进行比较,检验JIPR8跨学科期刊评价的敏感度和稳定性,以及与其他跨学科期刊评价指标的相关性。[结果/结论] 在选择的所有指标中,8个学科301种期刊JIPR8的变异程度最低,说明其用于跨学科期刊评价的稳定性最好;不同分区期刊（Q1、Q2、Q3和Q4） JIPR8的组间差异性较为明显,仅次于期刊影响因子百分位（journal impact factor pencentile,JIFP）,表明其对优秀和一般期刊的区分度较好。认为JIPR8是一个非常理想的跨学科期刊评价指标。