Membership Benefits Matter

Professional associations have provided various benefits to their members to bolster member retention and recruitment. This study explored factors that could influence members’ behavioral intentions in professional membership associations by surveying 13,229 members from eighteen associations. More specifically, this analysis focused on the effects of members’ perceptions of the personal and professional benefits offered by associations with which they are affiliated and their satisfaction with those benefits. Our results suggested that members’ perceptions of personal and professional benefits positively correlated with their intentions to renew and recommend membership. If a member perceived a higher level of benefits, he or she would demonstrate a greater likelihood of satisfaction with the benefits and therefore be more likely to renew membership or recommend it to others. This study could advance understanding of the factors that influence members’ behavioral intentions while also providing professional associations with strategies for retaining existing members.     

诉讼中的言论豁免权及其界限

首先讨论诉讼中的言论豁免权问题,然后从法律世界与现实世界的隔离,以及司法所具有的吸纳社会不满的机制两个角度分析了诉讼中的言论豁免权存在的理论根据,最后对诉讼中的言论豁免权的界限进行了探讨,认为当事人的言行必须与本案有关,必须在法定程序所设定的时空范围内做出,必须符合法定程序所要求的形式要件,才能享受豁免权.     

高职公共英语课程改革研究

本文从英语教学的能力培养目标、教学内容、教学模式和教学评估等几个方面论述了高职公共英语改革应该立足于增强学生就业竞争力为出发点,突出高职教育的特色性、实用性和针对性。     

Simultaneous estimation for semi-parametric multi-index models

Estimation of a general multi-index model comprises determining the number of linear combinations of predictors (structural dimension) that are related to the response, estimating the loadings of each index vector, selecting the active predictors and estimating the underlying link function. These objectives are often achieved sequentially at different stages of the estimation process. In this study, we propose a unified estimation approach under a semi-parametric model framework to attain these estimation goals simultaneously. The proposed estimation method is more efficient and stable than many existing methods where the estimation error in the structural dimension may propagate to the estimation of the index vectors and variable selection stages. A detailed algorithm is provided to implement the proposed method. Comprehensive simulations and a real data analysis illustrate the effectiveness of the proposed method.     

Bayesian Random Segmentation Models to Identify Shared Copy Number Aberrations for Array CGH Data

Array-based comparative genomic hybridization (aCGH) is a high-resolution high-throughput technique for studying the genetic basis of cancer. The resulting data consists of log fluorescence ratios as a function of the genomic DNA location and provides a cytogenetic representation of the relative DNA copy number variation. Analysis of such data typically involves estimation of the underlying copy number state at each location and segmenting regions of DNA with similar copy number states. Most current methods proceed by modeling a single sample/array at a time, and thus fail to borrow strength across multiple samples to infer shared regions of copy number aberrations. We propose a hierarchical Bayesian random segmentation approach for modeling aCGH data that utilizes information across arrays from a common population to yield segments of shared copy number changes. These changes characterize the underlying population and allow us to compare different population aCGH profiles to assess which regions of the genome have differential alterations. Our method, referred to as BDSAcgh (Bayesian Detection of Shared Aberrations in aCGH), is based on a unified Bayesian hierarchical model that allows us to obtain probabilities of alteration states as well as probabilities of differential alteration that correspond to local false discovery rates. We evaluate the operating characteristics of our method via simulations and an application using a lung cancer aCGH data set.     

A novel quantification of information for longitudinal data analyzed by mixed‐effects modeling

Nonlinear mixed‐effects (NLME) modeling is one of the most powerful tools for analyzing longitudinal data especially under the sparse sampling design. The determinant of the Fisher information matrix is a commonly used global metric of the information that can be provided by the data under a given model. However, in clinical studies, it is also important to measure how much information the data provide for a certain parameter of interest under the assumed model, for example, the clearance in population pharmacokinetic models. This paper proposes a new, easy‐to‐interpret information metric, the “relative information” (RI), which is designed for specific parameters of a model and takes a value between 0% and 100%. We establish the relationship between interindividual variability for a specific parameter and the variance of the associated parameter estimator, demonstrating that, under a “perfect” experiment (eg, infinite samples or/and minimum experimental error), the RI and the variance of the model parameter estimator converge, respectively, to 100% and the ratio of the interindividual variability for that parameter and the number of subjects. Extensive simulation experiments and analyses of three real datasets show that our proposed RI metric can accurately characterize the information for parameters of interest for NLME models. The new information metric can be readily used to facilitate study designs and model diagnosis.     

东周青铜器设计艺术的地域风格

东周时期,礼崩乐坏、诸侯兼并,文化艺术上形成了百家争鸣的局面,青铜器的造型和装饰设计也体现出地域性特点,形成了南北两种不同的艺术风格,即以中原文化为中心的黄河文化圈所表现出的现实主义风格和以楚文化为中心的长江文化圈所表现出的浪漫主义风格。这正是当时社会审美观念的体现。     

博大普世襟怀的矛盾与偏执——昌耀晚期精神思想探析

1998年诗人昌耀在随中国作家代表团出访俄罗斯后，写出了他晚期最重要的作品《一个中国诗人在俄罗斯》。这是一个在博大的普世襟怀中，充满了偏执与矛盾的文本。其时政评论指向上机锋迭出的雄辩与高蹈．与他诗作中一贯的苦难感和生命感大相径庭，却与同一时期的“新左派”思潮不谋而合。而这一“意外表现”的根源来自何处？值得我们根据文本详加探析。     

电波传播附加时延修正的软件实现

给出并用C语言实现了一种基于观测的大范围电波传播附加时延的修正方法 ,这对具有授时、定位等功能的无线电工程系统具有重要的意义