基于文献计量学的煤工尘肺研究热点分析

探究近20年来我国煤工尘肺研究发展脉络与研究热点。以中国知网(CNKI)收录的2000—2020年1485篇煤工尘肺相关研究文献为数据源,运用CiteSpace对作者、发文机构、关键词绘制可视化知识图谱,同时根据知识图谱回顾相关文献内容。结果显示,煤工尘肺研究自2000年以来发文量呈现先上升后下降的趋势,煤工尘肺相关研究呈现趋冷的状态;研究热点内容为发病机制、治疗、诊断和流行病学研究。基于煤工尘肺研究热点内容及发展脉络,建议应继续加强煤工尘肺发病机制及诊疗措施研究,同时立足于患者的实际生活,致力于全方位全周期地提高患者生活质量。     

Curved Chaotic Map Time Series Models and Their Stochastic Reversals

This paper considers two types of chaotic map time series models, including the well-known tent, logistic and binary-shift maps as special cases; these are called curved tent and curved binary families. Deterministic behaviour is investigated by invariant distributions, Lyapunov exponents, and by serial dependency. Stochastic time reversal of the families is shown to produce models which have a broader range of stochastic and chaotic properties than their deterministic counterparts. The marginal distributions may have concentrations and restricted supports and are shown to be a non-standard class of invariant distribution. Dependenc y is generally weaker with the reversed stochastic models. The work gives a broad statistical account of deterministic and stochastically reversed map models, such as are emerging in random number generation, communica tion systems and cryptography     

基于知识图谱的员工创新行为研究分析

以中国知网数据库2007—2017年收录的题名中含有“员工创新行为”的293篇期刊论文作为数据来源,借助CiteSpace5.0软件绘制可视化知识图谱,对该时间段国内员工创新行为研究的年度发文量、发文机构、文献来源机构、代表性学者及研究热点进行可视化分析。研究结果表明：2007—2010年,员工创新行为研究的载文量较少但呈逐步增长趋势,2010—2017年,员工创新行为发文量增长趋势明显;发文量排名前20的研究机构中有19个为高校;载文量在5篇以上的期刊主要为经济管理类期刊;其研究热点主要集中在员工创新行为主体研究,以及个人特征、领导力、组织文化与氛围等员工创新行为前因变量研究。未来的研究方向为：开发适合中国情境的员工创新行为量表,在整体视角下探讨不同创新主体之间的关联及员工创新行为的结果变量等。     

Constructing a strategy map for banking institutions with key performance indicators of the balanced scorecard

This study presents a structural evaluation methodology to link key performance indicators (KPIs) into a strategy map of the balanced scorecard (BSC) for banking institutions. Corresponding with the four BSC perspectives (finance, customer, internal business process, and learning and growth), the most important evaluation indicators of banking performance are synthesized from the relevant literature and screened by a committee of experts. The Decision Making Trial and Evaluation Laboratory (DEMATEL) method, a multiple criteria analysis tool, is then employed to determine the causal relationships between the KPIs, to identify the critical central and influential factors, and to establish a visualized strategy map with logical links to improve banking performance. An empirical application is provided as an example. According to the expert evaluations, the three most essential KPIs for banking performance are customer satisfaction, sales performance, and customer retention rate. The DEMATEL results demonstrate a clear road map to assist management in prioritizing the performance indicators and in focusing attention on the strategy-related activities of the crucial indicators. According to the constructed strategy map, management could better invest limited resources in the areas that need improvement most. Although these strategy maps of the BSC are not universal, the research results show that the presented approach is an objective and feasible way to construct strategy maps more justifiably. The proposed framework can be applicable to institutions in other industries as well.     

ＧＩＳ技术支持下的北宋初期丝路要道灵州道复原研究

在９世纪后半叶乃至整个１０世纪的丝绸之路东、中段交通网络系统中，灵州道占有一席之地。宋初，大食、回鹘、于阗以及归义军等民族政权多通过灵州道与北宋王朝进行经贸、文化往来。本文主要针对这一时段内灵州道的畅通情况及其道路性质进行探讨，在原有文献考证的基础上，利用考古资料、ＧＩＳ技术，尽可能实现对灵州道古地名数据的精确地理定位，最后使用ＡＲＣＧＩＳ技术，绘制灵州道的道路走向地图，为北宋灵州道区域的政治、经济、文化交流综合研究提供地理学依据。     

The Career Decision‐Making Difficulties Questionnaire: A Case for Item‐Level Interpretation

The Career Decision‐Making Difficulties Questionnaire (CDDQ; Gati, Krausz, & Osipow, 1996) has long been demonstrated as a useful instrument for career counseling practice. Several case studies have demonstrated how and why using the CDDQ facilitates the career counseling process (e.g., Amir, Gati, & Kleiman, 2008; Gati & Levin, 2014; Levin & Gati, 2014). This study explores how an in‐depth analysis of a case study conducted at the item level can provide career counselors with a richer understanding of their clients’ needs. The case study also emphasizes how administering and providing feedback on the CDDQ in career counseling sessions is likely to foster working alliances. The study concludes by presenting an intervention map based on the CDDQ taxonomy.     

Estimating Abundance from Presence–Absence Maps via a Paired Negative‐Binomial Model

The estimation of abundance from presence–absence data is an intriguing problem in applied statistics. The classical Poisson model makes strong independence and homogeneity assumptions and in practice generally underestimates the true abundance. A controversial ad hoc method based on negative‐binomial counts (Am. Nat.) has been empirically successful but lacks theoretical justification. We first present an alternative estimator of abundance based on a paired negative binomial model that is consistent and asymptotically normally distributed. A quadruple negative binomial extension is also developed, which yields the previous ad hoc approach and resolves the controversy in the literature. We examine the performance of the estimators in a simulation study and estimate the abundance of 44 tree species in a permanent forest plot.     

An exploratory data analysis in scale-space for interval-valued data

We propose an exploratory data analysis approach when data are observed as intervals in a nonparametric regression setting. The interval-valued data contain richer information than single-valued data in the sense that they provide both center and range information of the underlying structure. Conventionally, these two attributes have been studied separately as traditional tools can be readily used for single-valued data analysis. We propose a unified data analysis tool that attempts to capture the relationship between response and covariate by simultaneously accounting for variability present in the data. It utilizes a kernel smoothing approach, which is conducted in scale-space so that it considers a wide range of smoothing parameters rather than selecting an optimal value. It also visually summarizes the significance of trends in the data as a color map across multiple locations and scales. We demonstrate its effectiveness as an exploratory data analysis tool for interval-valued data using simulated and real examples.     

国外环境风险感知跨学科研究的知识谱系

自20世纪80年代开始,环境风险感知研究成为国际学者关注的重点和热点。国内外大量学者基于不同学科视角对环境风险感知进行研究,但这一研究领域仍存在较大争议。以1982—2019年公开发表的关于环境风险感知的415篇WOS期刊相关论文为样本,运用SATI软件构建知识单元共现矩阵,将矩阵导入 Ucinet 社会网络分析软件生成环境风险感知关键词共现知识图谱,采用SPSS软件对高频关键词相异矩阵进行因子分析、聚类分析和多维尺度分析,呈现环境风险感知的9个研究流派和4个维度的知识谱系,并在此基础上割裂为实存论和建构论。多学科路径下环境风险感知研究在“概念阐释”“内容统一”“理论整合”呈现相互渗透,彼此交融特征,但是由于实存论和建构论的互异性和隔膜,导致环境风险感知研究难以实质融合,由此可为我国的环境风险感知研究提供借鉴和反思。     

应用GIS 技术辅助油藏管理

油气藏开发涉及油气藏的三维空间分布和内部状态变化的复杂问题,信息系统是支持油藏管理的基本手段。传统油气藏开发管理信息系统基于表格形式表现对象属性,无法反映描述对象的空间联系和系统的空间分布模式。地理信息系统( GIS) 能够有效描述二维空间问题,将GIS 技术引入油气藏开发管理信息系统将极大地扩展管理信息系统的描述能力和表现形式,但是对于油气藏开发这类特殊的三维问题还缺少描述和分析能力。通过分析传统的油藏管理信息系统所面临的问题,提出了油气藏开发管理GIS 系统的体系结构、目标设计和功能设计,讨论油气藏开发管理GIS 系统的技术路线、信息组织方式、表示方式以及开发模式,指出需要研究更完善的三维空间描述方法和表现手法,结合油藏描述技术及其成果,在地质建模的基础上开展空间分析,将会使油气田开发中的GIS 技术更加完善。