Information vetting as a key component in social-mediated crisis communication: An exploratory study to examine the initial conceptualization

In order to understand publics’ crisis information consumption in an increasingly competitive and conflicting media environment, this study addresses how and why individuals vet information (or not) in social-mediated crisis situations. Built upon the social-mediated crisis communication (SMCC) model as well as grounded in the elaboration likelihood model and the meta-cognition theory, this study proposes an initial conceptual framework of crisis information vetting. An exploratory study, including four focus groups and 13 in-depth interviews, was conducted to investigate: 1) indicators of information vetting behavior according to participants’ self-reported experiences; and 2) what motivate and what prohibit participants from engaging themselves emotionally and cognitively in the process of crisis information vetting. Our qualitative data provide evidences for a two-step process of crisis information vetting, namely, primary vetting and secondary vetting. The 14 sub-constructs and 48 vetting behavior indicators rendered may serve in future scale development and further conceptual model refinement of the new crisis information vetting construct. By connecting publics’ crisis information consumption with their crisis information transmission in social-mediated crisis communication, this study also extends and enriches the SMCC model.     

土壤源热泵系统的应用与经济性分析

介绍了土壤源热泵的工作原理,根据工程周围的环境,地质条件,对抚顺市某垂直埋管式地源热泵系统工程的实例进行了分析。并将垂直埋管式地源热泵空调系统与燃油锅炉+冷水机组空调系统进行了经济分析比较。结果表明,土壤源热泵系统初投资高出燃油锅炉+冷水机组空调系统约4倍,而土壤源热泵系统要比燃油锅炉+冷水机组空调系统节省约63%的全年运行费用,其中夏季节省约21.5%的运行费用,冬季节省运行费用较大约为67.9%。土壤源热泵系统初投资回收期短,经济可行性好。     

Some Recent Developments in Econometric Inference

Abstract

Recent results in information theory, see Soofi (1996; 2001) for a review, include derivations of optimal information processing rules, including Bayes' theorem, for learning from data based on minimizing a criterion functional, namely output information minus input information as shown in Zellner (1988; 1991; 1997; 2002). Herein, solution post data densities for parameters are obtained and studied for cases in which the input information is that in (1) a likelihood function and a prior density; (2) only a likelihood function; and (3) neither a prior nor a likelihood function but only input information in the form of post data moments of parameters, as in the Bayesian method of moments approach. Then it is shown how optimal output densities can be employed to obtain predictive densities and optimal, finite sample structural coefficient estimates using three alternative loss functions. Such optimal estimates are compared with usual estimates, e.g., maximum likelihood, two‐stage least squares, ordinary least squares, etc. Some Monte Carlo experimental results in the literature are discussed and implications for the future are provided.     

A Characterization of probability densities with expected log likelihood

In the class of all densities with constraints E b_i(X) = c,(i = 1,....,q), it is well known that the entropy is maximized by the density belonging to the exponential family specified by b_i(x), i = 1,....,q. Our aim in this note is to generalize theresult by using expected log likelihood.     

纽约增强城市辐射力研究——兼论对广州的启示

研究中心城市的辐射作用具有十分重要的借鉴意义。本文回顾了城市辐射的基础理论,探讨了城市辐射的机理。并以纽约为研究对象,从辐射源、辐射方式、辐射影响因素及辐射效果等方面,对纽约的城市辐射力进行了详尽的研究。最后,借鉴纽约的经验,提出了增强广州辐射力的政策建议。     

论高校学报资料室文献信息资源共享

高校学报资料室不仅是学报编辑部的有机组成部分，而且还是高校图书情报工作的重要组成部分，这是其他图书资料部门不可能完全所取代的。要充分发挥高校学报资料室的特点和功能，实现文献信息资源共享，就应打破传统的管理方式，加强学报资料室的文献信息化和现代化建设，利用室藏文献更好地为编辑和教学科研服务，从而达到文献信息资源共享的目的。     

Information-statistical pattern based approach for data mining

This paper presents information theory and statistical analysis as two fundamental conceptual tools for data mining. A data mining technique based on these two conceptual tools consists of three steps. The first step is a statistical approach for discovering data patterns. The second step is an information-theoretic approach for identifying models that encapsulate the statistical behavior of the data patterns. The last step is a probabilistic approach for pattern-based inference that uncovers unknown significant event patterns.     

Tests of fit for the Laplace distribution based on correcting moments of entropy estimators

ABSTRACT

In this paper, we first consider the entropy estimators introduced by Vasicek [A test for normality based on sample entropy. J R Statist Soc, Ser B. 1976;38:54–59], Ebrahimi et al. [Two measures of sample entropy. Stat Probab Lett. 1994;20:225–234], Yousefzadeh and Arghami [Testing exponentiality based on type II censored data and a new cdf estimator. Commun Stat – Simul Comput. 2008;37:1479–1499], Alizadeh Noughabi and Arghami [A new estimator of entropy. J Iran Statist Soc. 2010;9:53–64], and Zamanzade and Arghami [Goodness-of-fit test based on correcting moments of modified entropy estimator. J Statist Comput Simul. 2011;81:2077–2093], and the nonparametric distribution functions corresponding to them. We next introduce goodness-of-fit test statistics for the Laplace distribution based on the moments of nonparametric distribution functions of the aforementioned estimators. We obtain power estimates of the proposed test statistics with Monte Carlo simulation and compare them with the competing test statistics against various alternatives. Performance of the proposed new test statistics is illustrated in real cases.     

Competition network as a source of competitive advantage: The dynamic capability perspective and evidence from China

The search for competitive advantage is the defining inquiry of strategic management research. In this study, we draw on the dynamic capability lens to develop a counterintuitive view that positions competitors of a firm as an important source of competitive advantage. We argue that a firm's competitors form a competition network from which it can collect information about innovative ideas, product market, and related industries. Such information helps it calibrate market opportunities, update the resource base, and, eventually, strengthen its competitive advantage. This positive effect of competition network on competitive advantage will reasonably be contingent upon the proactive information search by the firm. The empirical results based on the survey data of 631 Chinese firms strongly support our theoretical model. This study identifies another distinctive source of competitive advantage than industry context or organizational resources as well as advancing our understanding of competition network.     

Organizing Routinely Collected Computerized Data Bases for Evaluations of Social Care Systems

This article describes statistical techniques for analyzing data collected by management information systems developed to gather information about children in foster care. The techniques permit comparison of the performance of service providers in arranging for the discharge of children from care. The approach involves the application of both traditional statistical techniques and recently developed techniques of exploratory data analysis.