社会转型与观念变迁--以“道德缺失”为中心的考察

尽管“道德缺失”是转型期中国一个不容忽视的社会问题，但当代的“道德缺失”现象并非严重到了危机阶段，中国古代也不是“道德天堂”。今天的道德困境可以归因于社会环境的巨大变化。这种问题的解决，需依靠有效的维护机制作为保障。落实到根本，还是要大力发展经济，建设市民社会。     

论伊塞尔的接受美学与中国意境学说之比较

通过伊塞尔的接受美学与中国意境学说的比较,分析二者在阅读准备与阅读活动的共性,指出理论阐释选择对象及思维方式的差异,从而强调跨文化的理论结合。     

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。     

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。     

商事主体信用的缺失与补救

当前,我国商事信用危机的加剧,造成了市场秩序的空前混乱,商事主体的信用缺失使交易风险更加明显.单纯依靠道德和观念上的东西,很难制约为追求利润最大化而不守信的状况.通过完备的法律体系与必要的制度安排来健全我国的商事信用机制,提高商事主体的信用水平,从而解决目前存在的商事主体信用缺失问题.     

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。     

‘Scarier than another storm’: values at risk in the mapping and insuring of US floodplains

How do people respond to the ways in which insurance mediates environmental risks? Socio‐cultural risk research has characterized and analyzed the experiential dimension of risk, but has yet to focus on insurance, which is a key institution shaping how people understand and relate to risk. Insurance not only assesses and communicates risk; it also economizes it, making the problem on the ground not just one of risk, but also of value. This article addresses these issues with an investigation of the social life of the flood insurance rate map, the central technology of the U.S. National Flood Insurance Program (NFIP), as it grafts a new landscape of ‘value at risk’ onto the physical and social world of New York City in the aftermath of Hurricane Sandy. Like other risk technologies, ubiquitous in modern societies as decision‐making and planning tools, the map disseminates information about value and risk in order to tame uncertainty and enable prudent action oriented toward the future. However, drawing together interview, ethnographic, and documentary data, I find that for its users on the ground, the map does not simply measure ‘value at risk’ in ways that produce clear strategies for protecting property values from flooding. Instead, it puts values‐beyond simply the financial worth of places‐at risk, as well as implicates past, present, and future risks beyond simply flooding. By informing and enlarging the stakes of what needs protecting, and from what, I argue that plural and interacting ‘values at risk’ shape how people live with and respond to environmental risks that are mediated by insurance technologies.