论大学生创新能力的培养

从培养对象、培养者以及政府行为等 3个方面 ,分析培养大学生创新能力的艰巨性。依据教育的本质提出 :培养大学生的创新能力 ,应以知识为载体、传授知识为手段、将其渗透融合在教学的全过程 ;以环境建设、机会与空间、教学环节作为培养大学生创新能力的三大要素 ,系统地论述如何做好此项工作。并结合工作实践 ,介绍了在教学过程中相机培养大学生创新能力的尝试     

多代合居模式下的卫浴空间通用设计

老年人、青年人、儿童多代合居的家庭,因生活方式的差异致使传统的卫浴空间设计显现出诸多问题。在空间规划、设施配置、氛围营造三个方面引入通用设计理念,合理设计卫浴空间使合居家庭的生活更加融洽。     

浅议英语学习中的文化差异

东西方文化存在着很大的差异,对西方文化不了解,势必造成英语学习的障碍乃至交际的失误。     

Inference on Causal Effects in a Generalized Regression Kink Design

We consider nonparametric identification and estimation in a nonseparable model where a continuous regressor of interest is a known, deterministic, but kinked function of an observed assignment variable. We characterize a broad class of models in which a sharp “Regression Kink Design” (RKD or RK Design) identifies a readily interpretable treatment‐on‐the‐treated parameter (Florens, Heckman, Meghir, and Vytlacil (2008)). We also introduce a “fuzzy regression kink design” generalization that allows for omitted variables in the assignment rule, noncompliance, and certain types of measurement errors in the observed values of the assignment variable and the policy variable. Our identifying assumptions give rise to testable restrictions on the distributions of the assignment variable and predetermined covariates around the kink point, similar to the restrictions delivered by Lee (2008) for the regression discontinuity design. Using a kink in the unemployment benefit formula, we apply a fuzzy RKD to empirically estimate the effect of benefit rates on unemployment durations in Austria.     

Frailty modelling approaches for semi-competing risks data

Lifetime Data Analysis - In the semi-competing risks situation where only a terminal event censors a non-terminal event, observed event times can be correlated. Recently, frailty models with an...     

Bayesian inference for zero-and-one-inflated geometric distribution regression model using Pólya-Gamma latent variables

Abstract

In the fields of internet financial transactions and reliability engineering, there could be more zero and one observations simultaneously. In this paper, considering that it is beyond the range where the conventional model can fit, zero-and-one-inflated geometric distribution regression model is proposed. Ingeniously introducing Pólya-Gamma latent variables in the Bayesian inference, posterior sampling with high-dimensional parameters is converted to latent variables sampling and posterior sampling with lower-dimensional parameters, respectively. Circumventing the need for Metropolis-Hastings sampling, the sample with higher sampling efficiency is obtained. A simulation study is conducted to assess the performance of the proposed estimation for various sample sizes. Finally, a doctoral dissertation data set is analyzed to illustrate the practicability of the proposed method, research shows that zero-and-one-inflated geometric distribution regression model using Pólya-Gamma latent variables can achieve better fitting results.     

民事诉讼行政介入的程序规制研究

规制行政介入司法尤其是民事司法,除了深化司法体制改革的体制规制路径,将行政机关意见表达纳入民事诉讼程序是其另一程序规制路径.程序规制具有公正审判权请求权、论辩式民事诉讼对话逻辑、诉权制约行政权、民事审判实质公开的“武器支撑”.“法庭之友”制度对民事诉讼行政介入具有程序规制作用,中国行政机关可以“法庭之友”身份参与民事诉讼、进行意见表达.行政机关担当“法庭之友”不会损害独立审判,相反有利于司法公正公开.行政机关担当“法庭之友”以维护公共利益为限,是新型诉讼参与人,应明确其诉讼权利义务,构建行政机关作为“法庭之友”参诉的具体程序.     

福州市幼儿教师心理健康状况及其影响因素分析

采用SCL-90症状自评量表,对福州市6所幼儿园的151名幼儿教师进行测试,探讨幼儿教师心理健康状况,结果表明：心理健康水平显著低于全国成人常模;心理健康问题检出率排前三位的依次是强迫症状、抑郁、躯体化;公办园幼儿教师的心理健康状况差于民办园幼儿教师;不同学历、不同年龄、不同月收入的幼儿教师心理健康状况差别不显著;教龄高的幼儿教师心理健康状况差于教龄低的幼儿教师;对自己的收入越满意、对职业越喜欢、职业满意度越高、职业幸福感越高,则心理健康水平倾向于越高。     

中国对中亚能源投资的法律问题及对策

中国与中亚在能源方面合作不断加强,逐步形成了更加紧密的能源安全共同体,然而在双方投资与合作过程中诸多相关法律问题也不断涌现,使中国对中亚地区的能源投资风险加大。文章对中亚能源投资中对投资的界定、投资准入、政治风险及环境保护等相关投资法律问题进行研究与分析,提出中国在中亚投资与合作过程中的相应对策,将对中国能源投资规避风险、保护投资利益大有裨益。     

Functional Partial Linear Single‐index Model

This paper deals with the problem of predicting the real‐valued response variable using explanatory variables containing both multivariate random variable and random curve. The proposed functional partial linear single‐index model treats the multivariate random variable as linear part and the random curve as functional single‐index part, respectively. To estimate the non‐parametric link function, the functional single‐index and the parameters in the linear part, a two‐stage estimation procedure is proposed. Compared with existing semi‐parametric methods, the proposed approach requires no initial estimation and iteration. Asymptotical properties are established for both the parameters in the linear part and the functional single‐index. The convergence rate for the non‐parametric link function is also given. In addition, asymptotical normality of the error variance is obtained that facilitates the construction of confidence region and hypothesis testing for the unknown parameter. Numerical experiments including simulation studies and a real‐data analysis are conducted to evaluate the empirical performance of the proposed method.