反腐倡廉的历史方位、主要特点与发展走势

中国在社会大转型与改革开放的伟大实践中走出了一条具有中国特色的反腐败之路。新时期,反腐倡廉建设对于党的建设新的伟大工程具有重要的意义。民主与法治是中国反腐倡廉的根本之道。而通过制度建设来构建国家廉政体系则是反腐倡廉的未来蓝图。     

在线送达法律问题探析——基于在线诉讼的视角

在线送达作为一种采用了现代信息技术的更加快捷、经济、高效的送达方式,应在现有技术水平和法律框架下确认其应有的法律地位,以支持和保障在线诉讼的确立和发展。     

农村女性流动打工经历对其家庭经济地位的影响

本文利用调查数据,对是否外出打工及不同类型打工地的农村女性家庭经济地位差异进行对比,考查在资源因素与文化规范变迁的多重影响下,不同的打工经历对农村女性家庭经济地位的影响及其发展变化。     

Your position in society matters for how happy you are

This article shows that people's perception of their position in society is strongly correlated with their level of happiness, and thus that differences in happiness levels among countries in different welfare state clusters are influenced by people's perceptions of their relative position in society (subjective position). The study drew on data from the European Social Survey. Two important findings emerged from the analysis. First, an individual's subjective position in society is a more important predictor of happiness than objective measures such as income, education and labour market position. Second, the link between individuals’ perceived position in society and their level of happiness is moderated by the welfare state. In the Nordic countries, people's perceptions of their position in society have less influence on happiness whereas in Eastern European countries we found a strong connection between subjective position and happiness.     

Functional analysis of high-content high-throughput imaging data

High-content automated imaging platforms allow the multiplexing of several targets simultaneously to generate multi-parametric single-cell data sets over extended periods of time. Typically, standard simple measures such as mean value of all cells at every time point are calculated to summarize the temporal process, resulting in loss of time dynamics of the single cells. Multiple experiments are performed but observation time points are not necessarily identical, leading to difficulties when integrating summary measures from different experiments. We used functional data analysis to analyze continuous curve data, where the temporal process of a response variable for each single cell can be described using a smooth curve. This allows analyses to be performed on continuous functions, rather than on original discrete data points. Functional regression models were applied to determine common temporal characteristics of a set of single cell curves and random effects were employed in the models to explain variation between experiments. The aim of the multiplexing approach is to simultaneously analyze the effect of a large number of compounds in comparison to control to discriminate between their mode of action. Functional principal component analysis based on T-statistic curves for pairwise comparison to control was used to study time-dependent compound effects.     

Estimation and Inference Procedures for Semiparametric Distribution Models with Varying Linear‐Index

More flexible semiparametric linear‐index regression models are proposed to describe the conditional distribution. Such a model formulation captures varying effects of covariates over the support of a response variable in distribution, offers an alternative perspective on dimension reduction and covers a lot of widely used parametric and semiparameteric regression models. A feasible pseudo likelihood approach, accompanied with a simple and easily implemented algorithm, is further developed for the mixed case with both varying and invariant coefficients. By justifying some theoretical properties on Banach spaces, the uniform consistency and asymptotic Gaussian process of the proposed estimator are also established in this article. In addition, under the monotonicity of distribution in linear‐index, we develop an alternative approach based on maximizing a varying accuracy measure. By virtue of the asymptotic recursion relation for the estimators, some of the achievements in this direction include showing the convergence of the iterative computation procedure and establishing the large sample properties of the resulting estimator. It is noticeable that our theoretical framework is very helpful in constructing confidence bands for the parameters of interest and tests for the hypotheses of various qualitative structures in distribution. Generally, the developed estimation and inference procedures perform quite satisfactorily in the conducted simulations and are demonstrated to be useful in reanalysing data from the Boston house price study and the World Values Survey.     

M-estimation for functional linear regression

This paper studies M-estimation in functional linear regression in which the dependent variable is scalar while the covariate is a function. An estimator for the slope function is obtained based on the functional principal component basis. The global convergence rate of the M-estimator of unknown slope function is established. The convergence rate of the mean-squared prediction error for the proposed estimators is also established. Monte Carlo simulation studies are conducted to examine the finite-sample performance of the proposed procedure. Finally, the proposed method is applied to analyze the Berkeley growth data.     

An Adaptive Functional Autoregressive Forecast Model to Predict Electricity Price Curves

We propose an adaptive functional autoregressive (AFAR) forecast model to predict electricity price curves. With time-varying operators, the AFAR model can be safely used in both stationary and nonstationary situations. A closed-form maximum likelihood (ML) estimator is derived under stationarity. The result is further extended for nonstationarity, where the time-dependent operators are adaptively estimated under local homogeneity. We provide theoretical results of the ML estimator and the adaptive estimator. Simulation study illustrates nice finite sample performance of the AFAR modeling. The AFAR model also exhibits a superior accuracy in the forecast exercise of the California electricity daily price curves compared to several alternatives.     

白居易融会三教的“中隐”思想及其仕隐心态

白居易的"中隐"思想是对传统仕隐观念的继承、整合和发展,其本质上既区别于隐于山林的"小隐",也与隐于朝市的"大隐"不同,而是隐于地方官、散官、闲官。它巧妙地平衡了集权专制与士大夫独立意识之间的矛盾,是一种能在入世与出世间进退裕如的处世哲学和生活方式。这一以仕求隐的隐逸观,较之魏晋时期"居官无官官之事,处事无事事之心"的仕宦态度要积极得多,它更圆融通达地调谐了身与心、职与事、仕与隐的矛盾,是白居易以儒治身、以佛道修心的人生哲学的具体体现。     

唐代士人的社会心态与隐逸的嬗变

隐逸是一种具有深厚历史积淀的文化现象,它对中国社会文化特别是士人文化心理建构有着深远的影响。唐代隐逸风气兴盛,对其历史嬗变的研究,是深入了解唐代文人的行为心态、人格理想以及价值取向的不可或缺的内容,而且对其递嬗缘由的追问,也是深入剖析唐代社会政治和学术思想的一个重要层面。概而言之,初唐承继魏晋隐逸遗风,盛唐在隐逸中贯注入世因素,中唐淡化了士人的担当精神,晚唐以隐居避祸全身。