吉林省科技支撑农村三产融合发展路径与对策研究

农村三产融合对促进农民增收、振兴乡村和促进农村地区可持续发展具有重要的现实意义。从理论研究视角,分析吉林省农村三产融合的内涵及其存在的问题,总结农村三产融合发展对科技的需求,并据此提出科技支撑农村三产融合的对策,能够为农村三产融合实践提供理论支持与发展思路。     

A comparison of path factors influencing depressive symptoms in children of immigrant women and Korean children in South Korea

The aim of this study is to compare Korean children and the children of immigrant women with respect to how depressive symptoms in these two groups are related to potential causes, including paternal neglect, maternal neglect, gender, socioeconomic status, ego resilience, peer relationships, teacher-student relationships, and discrimination. Concurrently analyzing multiple populations, we found that the path model and the path coefficients we used for the study were appropriate for both groups. Peer relationships and discrimination were found to have direct influences on depressive symptoms in both groups. We also found that gender, ego resilience, and teacher-student relationships had indirect effects in causing depressive symptoms in the children of immigrant women. Furthermore, maternal neglect had a more significant indirect effect among the children of immigrant women, whereas paternal neglect had a more significant indirect effect among the Korean children in our study. The results indicate that the same path model could be applied to both groups of children, allowing us to conclude that the same focus and approaches for intervention could be provided to both groups to decrease the levels of depressive symptoms.     

深度把脉“跨世纪文学”的律动与可能——评刘起林著《胜景与歧途：跨世纪文学的多维审视》

《胜景与歧途》一书作为对跨世纪文学“多维审视”的“断代史著”,基本立论与整体框架具有强烈的历史意识和深厚的现实基础,根本命题生发出如“知青作家的‘失乐园’心态”“历史文学创作的‘盛世情结’”等重要学术问题,个案研究实现了对许多高难度研究课题的突破,还形成了文本分析和超文本考察整合研究的学术范式,从而有效达成了对“跨世纪文学”律动与可能的深度把脉。     

民族地区院校学生党建工作的路径考察

民族地区院校作为地方培育高等人才的“主阵地”,承担着党赋予的助力地方经济发展、提供智力支持、实现地方长治久安等重要任务,院校的党建工作水平直接决定着其主要任务、使命的实现情况,因此有必要对民族地区院校党建工作进行考察和研究,探求新时代下党建工作稳步开展的新路径。本文基于对以呼和浩特民族学院为主的院校党建工作所做的实证调研,重点讨论了民族地区院校党建工作的内容和价值意义,分析总结出民族地区院校党建工作的现状和面临的困境,并提出有效开展党建工作的新路径,以待对民族地区党建工作水平的提高有所启示和帮助。     

On Cross-Lagged Panel Models With Serially Correlated Errors

Cross-lagged panel studies are studies in which two or more variables are measured for a large number of subjects at each of several points in time. The variables divide naturally into two sets, and the purpose of the analysis is to estimate and test the cross-effects between the two sets. One approach to this analysis is to treat the cross-effects as parameters in regression equations. This study contributes to this approach by extending the regression model to a multivariate model that captures the correlation among the variables and allows the errors in the model to be correlated over time.     

港台社会工作发展路径的比较分析

虽然港台社会工作的发展进程较为一致，但由于二者在历史背景、渊源及社会发展情况等方面存在差异，导致二者在发展路径上存在着“自上而下”与“自下而上”的分殊。大陆应注意两种路径的结合，发挥政府与社会工作界的各自优势，共同推进中国社会工作的进程。     

Genetic algorithms with path relinking for the minimum tardiness permutation flowshop problem

In this work three genetic algorithms are presented for the permutation flowshop scheduling problem with total tardiness minimisation criterion. The algorithms include advanced techniques like path relinking, local search and a procedure to control the diversity of the population. We also include a speed up procedure in order to reduce the computational effort needed for the local search technique, which results in large CPU time savings. A complete calibration of the different parameters and operators of the proposed algorithms by means of a design of experiments approach is also given. We carry out a comparative evaluation with the best methods that can be found in the literature for the total tardiness objective, and with adaptations of other state-of-the-art methods originally proposed for other objectives, mainly makespan. All the methods have been implemented with and without the speed up procedure in order to test its effect. The results show that the proposed algorithms are very effective, outperforming the remaining methods of the comparison by a considerable margin.     

Market transition or path dependency?: Changing effects of income determinants in the Czech Republic,Hungary, Poland,Russia, and Slovakia, 1991–2002

A major issue in the market transition debate on transitional societies is the extent to which changing economic institutions are responsible for the changing stratification order in post-Communist societies, as assumed by the Market Transition Theory (MTT). Advocates of path dependent transformation processes assume varying transformation processes across post-Communist societies. They have criticized the MTT of being insensitive to the different paths of transformation post-Communist societies go through and the way this will influence changes in the effects of income determinants. This study will test the extent to which trends in the effects of income determinants converge across post-Communist societies. A cross-national and across time comparative research design will be employed, analyzing 61 cross-sectional, standardized surveys for five Central and Eastern countries covering the period 1991–2002. Results from modified weighted least squares regression analyses show an increasing trend in the effect of years of education on standardized personal income for all five countries as predicted by the MTT. Income effects of years of experience, private sector employment and gender do not show increasing trends for all countries, contradicting the MTT. The empirical trends in effects of income determinants are to a great extent consistent with Stark's typology of privatization strategies, giving some support to the theoretical notion of path dependent transformation processes.     

中国最贫困地区农村人力资源发展目标与路径选择——以甘肃省“两州两市”为例

甘肃省＂两州两市＂是中国最贫困地区之一。其农村人力资源发展要坚决避免两个误区,即以升学为目的的应试教育误区和以公考为目的的职业导向误区。坚持两个理念,即＂以用为本＂和人才是第一资源的理念。在发展路径上,要强化教育培训事业,提升精神品质塑造,改进医疗健康服务。     

Calibrated path sampling and stepwise bridge sampling

A computational problem in many fields is to evaluate multiple integrals and expectations simultaneously. Consider probability distributions with unnormalized density functions indexed by parameters on a 2-dimensional grid, and assume that samples are simulated from distributions on a subgrid. Examples of such unnormalized density functions include the observed-data likelihoods in the presence of missing data and the prior times the likelihood in Bayesian inference. There are various methods using a single sample only or multiple samples jointly to compute each integral. Path sampling seems a compromise, using samples along a 1-dimensional path to compute each integral. However, different choices of the path lead to different estimators, which should ideally be identical. We propose calibrated estimators by the method of control variates to exploit such constraints for variance reduction. We also propose biquadratic interpolation to approximate integrals with parameters outside the subgrid, consistently with the calibrated estimators on the subgrid. These methods can be extended to compute differences of expectations through an auxiliary identity for path sampling. Furthermore, we develop stepwise bridge-sampling methods in parallel but complementary to path sampling. In three simulation studies, the proposed methods lead to substantially reduced mean squared errors compared with existing methods.