Bibliometrics of Big Data Research Literature in Social Science

[Purpose/Significance] This article provides a bibliometric study of the big data research literature in social science to explore its features and patterns both in domestic and international area, quantitatively and qualitatively. [Method/Process] This article collects the data from academic databases, then makes statistical analysis on significant characteristics to evaluate the regularity of document increase, distribution of subject categories, most prolific and impactful institutions, and then discusses the relations between research front and intellectual base via citation and co-citation analysis, finally concludes research features and patterns of big data. [Result/Conclusion] (1) Different subject categories show the different level of research interest while big data research has been one of the most popular topics in social science. The most documents are from information science and library science. (2) Besides journals of high output subject categories, computer science, telecommunications and multidisciplinary journals are common intellectual bases of big data research in social science. (3) Renmin University of China in domestic and Harvard University in the world are top institutions according to the number of fruits and influence of their publications of big data research in social science. (4) For China, publication quantity in social science makes apparent growth while international academic influence is still limited.     

块预处理正交极小化方法及其在水平井油藏模拟中的应用

本文介绍了4种块不完全分解ORTHOMIN加速方法,其中自然网格排序上有三种,即一、二、三级块不完全分解和D4网格排序上的一级块不完全分解,并将此方法用于水平井的油藏模拟,取得了满意的效果。     

Modelling hierarchical clustered censored data with the hierarchical Kendall copula

This article proposes a new model for right‐censored survival data with multi‐level clustering based on the hierarchical Kendall copula model of Brechmann (2014) with Archimedean clusters. This model accommodates clusters of unequal size and multiple clustering levels, without imposing any structural conditions on the parameters or on the copulas used at various levels of the hierarchy. A step‐wise estimation procedure is proposed and shown to yield consistent and asymptotically Gaussian estimates under mild regularity conditions. The model fitting is based on multiple imputation, given that the censoring rate increases with the level of the hierarchy. To check the model assumption of Archimedean dependence, a goodness‐of test is developed. The finite‐sample performance of the proposed estimators and of the goodness‐of‐fit test is investigated through simulations. The new model is applied to data from the study of chronic granulomatous disease. The Canadian Journal of Statistics 47: 182–203; 2019 © 2019 Statistical Society of Canada     

A Qualitative Case Study on Recovery and Personal Growth in Korean Drug Addicts

ABSTRACT

In recent years, crimes related to drug smuggling and production have gradually increased in Korea. This qualitative case study explores the experiences of Koreans recovering from drug addiction and identifies specific details and mechanisms of recovery. For this purpose, participants were selected based on criteria such as engaging in social activities after recovery from addiction for 3 years or more. Next, one-on-one in-depth interviews were conducted with five voluntarily consenting participants. Data were analyzed using the within-/cross-case analysis suggested by Creswell. Substantial personal growth took place in the recovery process for drug addicts. Nineteen themes were identified as manifestations of personal growth through within-case analysis. Four common themes were then derived through cross-case analysis. These four common themes were “reconnection with reality,” “embracing the essence of one's own existence,” “reconstructing oneself in social relations,” and “self-love.” The study's results suggest that a recovery program needs to be developed wherein the program not only enables drug addicts to reflect on their current existence but also allows them to develop their specific coping skills. Future research should be broadened to consider the social support mechanism and viewpoints of people including family and local community members in close contact with drug addicts.     

我国台湾地区消费者债务清理管理人制度研究——兼谈对我国大陆个人破产管理人制度的借鉴

随着我国大陆社会经济发展，个人破产制度的建立已是大势所趋，有必要对个人破产管理人进行探究。我国台湾地区在“双卡风暴”的背景下颁布了针对消费者的《消费者债务清理条例》，构建了个人破产制度，通过对《条例》中关于管理人的内容分析，可以发现其具有自身特点：法律地位上的财团代表属性，设立上的简单化，选任上基于个人债权债务关系的考量，职责的程序性和维持性，酬劳的绝对保障性，监督的严厉性等，对我国大陆个人破产管理人体系的构建具有借鉴意义。     

Synergy evaluation of non-normalizable dose–response data: Generalization of combination index for the linear effect of drugs

The study of drug synergy plays a prominent role in the search for drug combinations with beneficial interactions. Firstly, in this process, the drug-effect response of individual parts and the mixture needs to be derived. This function is usually well described by Hill (or other logistic or sigmoid) curve. Due to its boundedness, it allows the measured data to be normalized. The normalized data can then be processed by interaction analysis using the Loewe, Bliss, or other models to evaluate possible synergy or antagonism of two or more drugs. However, sometimes, the drug-effect responses observed in pharmaceutical research do not appear to be bounded. Theoretically, the drug-effect curve cannot grow to infinity, but it may be impossible to determine its upper bound within the observed region. In this case, standard models cannot be used, since they assume that data are normalized. The approach of this article bypasses the need to normalize the data, allowing its broader application and usefulness in finding potential synergies in pharmaceutical research.     

试述图表资料在生物教学中的作用

图表资料具有直观性、系统性及概括性的特点,在生物教学中有着重要地位及作用．     

On approximate likelihood inference in a poisson mixed model

A two-step estimation approach is proposed for the fixed-effect parameters, random effects and their variance σ² of a Poisson mixed model. In the first step, it is proposed to construct a small σ²-based approximate likelihood function of the data and utilize this function to estimate the fixed-effect parameters and σ². In the second step, the random effects are estimated by minimizing their posterior mean squared error. Methods of Waclawiw and Liang (1993) based on so-called Stein-type estimating functions and of Breslow and Clayton (1993) based on penalized quasilikelihood are compared with the proposed likelihood method. The results of a simulation study on the performance of all three approaches are reported.     

Bias Reduction using Stochastic Approximation

The paper studies stochastic approximation as a technique for bias reduction. The proposed method does not require approximating the bias explicitly, nor does it rely on having independent identically distributed (i.i.d.) data. The method always removes the leading bias term, under very mild conditions, as long as auxiliary samples from distributions with given parameters are available. Expectation and variance of the bias-corrected estimate are given. Examples in sequential clinical trials (non-i.i.d. case), curved exponential models (i.i.d. case) and length-biased sampling (where the estimates are inconsistent) are used to illustrate the applications of the proposed method and its small sample properties.     

The EPA Health Risk Assessment of Methylcyclopentadienyl Manganese Tricarbonyl (MMT)

This paper describes the U.S. Environmental Protection Agency's assessment of potential health risks associated with the possible widespread use of a manganese (Mn)-based fuel additive, methylcyclopentadienyl manganese tricarbonyl (MMT). This assessment was significant in several respects and may be instructive in identifying certain methodological issues of general relevance to risk assessment. A major feature of the inhalation health risk assessment was the derivation of Mn inhalation reference concentration (RfC) estimates using various statistical approaches, including benchmark dose and Bayesian analyses. The exposure assessment component used data from the Particle Total Exposure Assessment Methodology (PTEAM) study and other sources to estimate personal exposure levels of particulate Mn attributable to the permitted use of MMT in leaded gasoline in Riverside, CA, at the time of the PTEAM study; on this basis it was then possible to predict a distribution of possible future exposure levels associated with the use of MMT in all unleaded gasoline. Qualitative as well as quantitative aspects of the risk characterization are summarized, along with inherent uncertainties due to data limitations.