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。     

民众知识形态描述

本文对民众知识的存在、层次、思维、内容、传承等形态进行了粗略的描述 ,提出了多种相应的认识推论 ,对民众知识概念及其所关涉的一些问题给予了提示性的回答     

游牧经济的机动性分析--以古代蒙古族的游牧经济为例

1800年以前,世界的军事优势一直控制在生活在亚欧大陆腹地的游牧民族手中.在此前两千五百多年间,游牧民族曾经在亚欧大陆纵横驰骋,东亚、南亚、西亚和欧洲的许多农业帝国纷纷被来自草原的游牧民族所吞并,其原因何在呢?本文认为,这正是游牧民族独特的生产方式赋予游牧民族的灵活的机动性所致.     

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。     

Mixed-effects Models with Skewed Distributions for Time-varying Decay Rate in HIV Dynamics

After initiation of treatment, HIV viral load has multiphasic changes, which indicates that the viral decay rate is a time-varying process. Mixed-effects models with different time-varying decay rate functions have been proposed in literature. However, there are two unresolved critical issues: (i) it is not clear which model is more appropriate for practical use, and (ii) the model random errors are commonly assumed to follow a normal distribution, which may be unrealistic and can obscure important features of within- and among-subject variations. Because asymmetry of HIV viral load data is still noticeable even after transformation, it is important to use a more general distribution family that enables the unrealistic normal assumption to be relaxed. We developed skew-elliptical (SE) Bayesian mixed-effects models by considering the model random errors to have an SE distribution. We compared the performance among five SE models that have different time-varying decay rate functions. For each model, we also contrasted the performance under different model random error assumptions such as normal, Student-t, skew-normal, or skew-t distribution. Two AIDS clinical trial datasets were used to illustrate the proposed models and methods. The results indicate that the model with a time-varying viral decay rate that has two exponential components is preferred. Among the four distribution assumptions, the skew-t and skew-normal models provided better fitting to the data than normal or Student-t model, suggesting that it is important to assume a model with a skewed distribution in order to achieve reasonable results when the data exhibit skewness.     

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.