构建和谐社会的法治基础分析

和谐社会的法治基础研究是近年来重大的理论和实践课题。法治作为和谐社会的基础应当表现为其不可或缺性、不可替代性和必须依赖性；法治是构建和谐社会的理念基础、制度基础、规范基础和基础性保障。     

高等学校师资队伍建设问题的几点思考

普通高校师资队伍建设是一项系统工程,同时又是学校党政“一把手工程”。作者从教育人事管理工作的实践与现实角度出发,指出加强师资队伍建设,培养跨世纪学科、教学带头人是时代赋予的重任,选拔与培养途径的改革与完善是加强师资队伍建设的重要内容。本文提出了稳定骨干教师队伍,促进学科带头人脱颖而出的措施,从而在动态平衡中求得师资队伍的稳定和优化     

公诉转自诉制度问题

公诉转自诉制度实质上是被害人对公诉机关公诉权的制约问题，我国选择的制约方式是公诉转自诉，即在特定条件下将公诉案件转化为自诉案件的一种制度。1997年以后的司法实践证明该制度的司法程序不能顺利进行，被害人的利益无法得到保护。所以笔者建议以被害人司法审查制度代替公诉转自诉制度。     

职业学校学生学习心理之浅谈

职业学校学生的学习心理在学习动机、学习兴趣、学习能力等方面有其特殊性。职业教育应合理构筑教 学计划、强化专业技能培训,提倡“以学为中心”培养学生学习兴趣,帮助、辅导学习有困难的学生。     

在校学生犯罪情况分析和防范对策

在校学生犯罪率的不段上升,是一个非常严峻的社会问题。预防、减少在校学生犯罪,学校责无旁贷。本文通过对 在校生犯罪情况的分析,探讨了构建三大"育人网络"作为防范对策的现实必要性。     

民族地区高职教育与地方经济良性互动的构建

在民族地区发展经济比其他地区面临更多的困难,在这些困难中最突出的是人才缺乏。它制约着经济的快速发展。要解决这一难题,一个重要的途径是发展高职教育。同时,只有民族地区的经济得到快速发展,民族地区的高职教育的发展才有良好的基础。因此,必须使民族地区的高职教育与当地的经济建设形成良性互动,才能实现两者的持续、稳定发展。     

高校践行代表先进文化的要求之我见

高等院校作为党领导下的传承知识、智慧和文明的园地 ,在践行代表先进文化方面责任重大。高校必须大力弘扬科学精神 ,推进社会主义精神文明建设 ;培养学生的创新精神 ;加强高校的理论研究 ,增强针对性和可行性 ,推进科教兴国。     

学习态度的改变及分析

学习态度是教育的成果之一,在当今教育由精英教育向大众教育的转变过程中日显重要。该文对学习效果及学习态度的转变的一些因子进行比较和分析,发现学生群体中态度的改变并非正态分布,而是呈锯齿型倾斜分布,在群体中的变化中有趋同性的特征,在此基础上,提出了高校要加强态度教育。     

Prediction of the Indian summer monsoon using a stacked autoencoder and ensemble regression model

The study of climatic variables that govern the Indian summer monsoon has been widely explored. In this work, we use a non-linear deep learning-based feature reduction scheme for the discovery of skilful predictors for monsoon rainfall with climatic variables from various regions of the globe. We use a stacked autoencoder network along with two advanced machine learning techniques to forecast the Indian summer monsoon. We show that the predictors such as the sea surface temperature and zonal wind can predict the Indian summer monsoon one month ahead, whereas the sea level pressure can predict ten months before the season. Further, we also show that the predictors derived from a combination of climatic variables can outperform the predictors derived from an individual variable. The stacked autoencoder model with combined predictors of sea surface temperature and sea level pressure can predict the monsoon (June-September) two months ahead with a 2.8% error. The accuracy of the identified predictors is found to be superior to the state-of-the-art predictions of the Indian monsoon.     

Experimental internet auctions with random information retrieval

We run an experiment where 97 subjects could retrieve records of completed past auctions before placing their bids in current one-bid, two-bid, and auction-selection games. Each subject was asked to participate in 3 current auctions; but could retrieve up to 60 records of completed (past) auctions. The results reveal a positive relation between the payoffs earned by the subjects and their history-inspection effort. Subjects act as if responding to the average bidding-ratios of the winners in the samples that they have retrieved. They apply intuitive signal-dependent stopping rules like “sample until observing a winner-value close to my won” or “find a close winner-value and try one more history” when sampling the databases. History-inspection directs bidders with relatively high private-valuations to moderate bidding which increases their realized payoffs. (JEL C9 D4 D8) Electronic Supplementary Material Supplementary material is available in the online version of this article at . JEL Classification C93, D44, D83