环境会计与环境信息披露探讨

综观全球，社会经济所依赖的资源基础、生态环境已呈现入不敷出的局面。搞好环境会计工作应当是我国环境保护工作体系中的重要一环。经济工作者应当对环境会计的相关概念和我国的现实状况进行分析，探讨在我国现阶段搞好环境会计的重要意义和工作方式，并对我国环境会计的发展提出了合理的建议。     

开放存取数据库现状与面临的挑战分析

阐述了开放存取的概念，介绍了目前国内外主要的开放存取数据库，针对开放存取系统面临的挑战，提出了相应的建议。     

结合α分层改进基于IRT计算机自适应题库系统

IRT理论中基于最大信息量函数的选题方法会使系统偏向于选取信息函数值最大的试题进行测验,容易造成部分试题被反复选取,导致试题的曝光度过高从而影响后期测验的有效性。本文在原有选题策略的基础上融入α分层和内容筛选,有效地提高了系统的有效性和安全性。     

完善我国信息公开制度的政策建议

信息公开制度是国家民主法治发展到一定阶段的必然产物。目前,我国的信息公开制度由于还未上升到国家法律的层次,其约束范围、执行力和强制力均存在局限,从而影响信息公开的效果。梳理了国外关于信息公开制度方面的特点和经验,结合我国现行制度的不足,提出了完善我国信息制度的政策建议。     

依申请公开政府信息相关法律问题探析

依申请公开政府信息制度在运行中不应限制申请人的范围,外国人、外国法人或其他组织也应当根据国民待遇原则享有申请信息公开权利,只是在获取信息的方式和内容上加以限制,以保护我国的国家机密和商业秘密。申请人的理由也不应做严格限制,行政机关可以询问申请人的理由,但是无须进行认定。实践中,行政相对人滥用申请、多次连续申请、申请信息公开的收费方式以及行政机关的服务方式等是受理申请公开政府信息经常遇到的难题,须在解决问题的过程中对政府信息公开制度加以修订和完善。     

信息时代下高校技防体系建设探析

人类进入了信息时代后,信息量、信息传播的速度,信息处理的速度以及应用信息的程度等都以几何级数的方式增长,各高校也纷纷构建起自己的技术防范体系。高校保卫工作真正做到了人防、物防、技防相结合的新时期。信息时代下的高校技防体系应该建立高效、稳定的技防体系,确保技防设施真正发挥应有的作用,保障校园的和谐稳定。     

论中国平面媒体NBA报道新闻源的解决

NBA新闻在我国已成为各大体育媒体报道的热点和重点.但NBA赛事发生地远在美国及球队所在地域的分散性等特点,客观上给我国媒体报道造成新闻源匮乏的难题.有鉴于此,本文重点探讨有效解决我国平面媒体NBA报道新闻源的方法和途径,以期为中国平面体育媒体新闻报道的发展提供理论借鉴和实践指导.     

A statistical dynamics approach to the study of human health data: Resolving population scale diurnal variation in laboratory data

Statistical physics and information theory is applied to the clinical chemistry measurements present in a patient database containing 2.5 million patients' data over a 20-year period. Despite the seemingly naive approach of aggregating all patients over all times (with respect to particular clinical chemistry measurements), both a diurnal signal in the decay of the time-delayed mutual information and the presence of two sub-populations with differing health are detected. This provides a proof in principle that the highly fragmented data in electronic health records has potential for being useful in defining disease and human phenotypes.     

Differentially expressed genes selection via Laplacian regularized low-rank representation method

With the rapid development of DNA microarray technology and next-generation technology, a large number of genomic data were generated. So how to extract more differentially expressed genes from genomic data has become a matter of urgency. Because Low-Rank Representation (LRR) has the high performance in studying low-dimensional subspace structures, it has attracted a chunk of attention in recent years. However, it does not take into consideration the intrinsic geometric structures in data.In this paper, a new method named Laplacian regularized Low-Rank Representation (LLRR) has been proposed and applied on genomic data, which introduces graph regularization into LRR. By taking full advantages of the graph regularization, LLRR method can capture the intrinsic non-linear geometric information among the data. The LLRR method can decomposes the observation matrix of genomic data into a low rank matrix and a sparse matrix through solving an optimization problem. Because the significant genes can be considered as sparse signals, the differentially expressed genes are viewed as the sparse perturbation signals. Therefore, the differentially expressed genes can be selected according to the sparse matrix. Finally, we use the GO tool to analyze the selected genes and compare the P-values with other methods.The results on the simulation data and two real genomic data illustrate that this method outperforms some other methods: in differentially expressed gene selection.     

信息时代公共图书馆的可持续发展对策探究

阐述了信息时代与公共图书馆可持续发展之间的关系，探讨了信息时代公共图书馆可持续发展的方向，提出了信息时代实现公共图书馆可持续发展的对策。