关于我国设立刑事证据开示制度的思考

1996年《刑事诉讼法》的修改，产生了律师阅卷难问题。为解决这一问题，真正实现控辩双方公平对抗，我国应设立刑事证据开示制度。文章对刑事证据开示制度的内涵、设立的必要性、设立的原则以及具体建议进行法律思考。     

基于读者信息行为规律的信息服务管理策略

论述了网络环境下,高校图书馆读者信息行为规律的变化及共性特征,并进行了实证分析研究。在此基础上,提出了图书馆多样化、多元化、个性化和一站式的信息服务管理策略。     

Accuracy of genomic prediction using imputed whole‐genome sequence data in white layers

There is an increasing interest in using whole‐genome sequence data in genomic selection breeding programmes. Prediction of breeding values is expected to be more accurate when whole‐genome sequence is used, because the causal mutations are assumed to be in the data. We performed genomic prediction for the number of eggs in white layers using imputed whole‐genome resequence data including ~4.6 million SNPs. The prediction accuracies based on sequence data were compared with the accuracies from the 60 K SNP panel. Predictions were based on genomic best linear unbiased prediction (GBLUP) as well as a Bayesian variable selection model (BayesC). Moreover, the prediction accuracy from using different types of variants (synonymous, non‐synonymous and non‐coding SNPs) was evaluated. Genomic prediction using the 60 K SNP panel resulted in a prediction accuracy of 0.74 when GBLUP was applied. With sequence data, there was a small increase (~1%) in prediction accuracy over the 60 K genotypes. With both 60 K SNP panel and sequence data, GBLUP slightly outperformed BayesC in predicting the breeding values. Selection of SNPs more likely to affect the phenotype (i.e. non‐synonymous SNPs) did not improve the accuracy of genomic prediction. The fact that sequence data were based on imputation from a small number of sequenced animals may have limited the potential to improve the prediction accuracy. A small reference population (n = 1004) and possible exclusion of many causal SNPs during quality control can be other possible reasons for limited benefit of sequence data. We expect, however, that the limited improvement is because the 60 K SNP panel was already sufficiently dense to accurately determine the relationships between animals in our data.     

面向MC提升企业柔性的概念模型分析

大规模定制(简称MC)是应对目前市场激烈竞争的一种有效方式,它对企业的柔性能力提出了更高的要求。本文基于资源和能力角度,建立了面向MC提升企业柔性的整体模型,通过分析企业需要向MC转变的程度以及企业已具备的柔性与企业的理想柔性之间的差距,确定企业提升柔性的途径,并利用系统动力学方法给出了相应的因果关系结构图。     

Marine Anticancer Agents: An Overview with a Particular Focus on Their Chemical Classes

The marine environment is a rich source of biologically active molecules for the treatment of human diseases, especially cancer. The adaptation to unique environmental conditions led marine organisms to evolve different pathways than their terrestrial counterparts, thus producing unique chemicals with a broad diversity and complexity. So far, more than 36,000 compounds have been isolated from marine micro- and macro-organisms including but not limited to fungi, bacteria, microalgae, macroalgae, sponges, corals, mollusks and tunicates, with hundreds of new marine natural products (MNPs) being discovered every year. Marine-based pharmaceuticals have started to impact modern pharmacology and different anti-cancer drugs derived from marine compounds have been approved for clinical use, such as: cytarabine, vidarabine, nelarabine (prodrug of ara-G), fludarabine phosphate (pro-drug of ara-A), trabectedin, eribulin mesylate, brentuximab vedotin, polatuzumab vedotin, enfortumab vedotin, belantamab mafodotin, plitidepsin, and lurbinectedin. This review focuses on the bioactive molecules derived from the marine environment with anticancer activity, discussing their families, origin, structural features and therapeutic use.     

A New Bioassay Platform Design for the Discovery of Small Molecules with Anticancer Immunotherapeutic Activity

Immunotherapy takes advantage of the immune system to prevent, control, and eliminate neoplastic cells. The research in the field has already led to major breakthroughs to treat cancer. In this work, we describe a platform that integrates in vitro bioassays to test the immune response and direct antitumor effects for the preclinical discovery of anticancer candidates. The platform relies on the use of dendritic cells that are professional antigen-presenting cells (APC) able to activate T cells and trigger a primary adaptive immune response. The experimental procedure is based on two phenotypic assays for the selection of chemical leads by both a panel of nine tumor cell lines and growth factor-dependent immature mouse dendritic cells (D1). The positive hits are then validated by a secondary test on human monocyte-derived dendritic cells (MoDCs). The aim of this approach is the selection of potential immunotherapeutic small molecules from natural extracts or chemical libraries.     

面向资源发现的联合目录体系构建研究

[目的/意义]分析联合目录在资源发现中的功能作用,优化联合目录体系,提升资源发现服务效益。[方法/过程]通过调研国外典型联合目录建设现状,分析联合目录建设发展特征,结合中国文献资源建设现状提出构建新型联合目录体系,自下而上包括协调运行层、系统工具层、数据汇交层、数据管理层和数据服务层。[结果/结论]面向发现服务的联合目录体系特征突出表现在3个方面,参建主体多样化、建设对象同时涵盖印本资源和电子资源,数据、系统和服务的开放性得到明显强化,与数字出版时代的发展要求相一致,能够在一定程度上打破资源发现服务中的馆藏壁垒,进一步推动文献资源的共享利用。     

稻纵卷叶螟寄生蜂发现域的研究

本文在发现域研究中首次提出了密比系数和域比系数的概念,解决了在自然条件下同一寄主的各种寄生蜂发现域比较的问题。研究和探讨了稻纵卷叶螟各种寄生蜂发现域之间的数值比较及寄生蜂密度对发现域的影响,建立了AR-DR对数回归模型。     

解淀粉芽孢杆菌(Bacillus amyloliquefaciens)的研究进展

近年对解淀粉芽孢杆菌(Bacillus amyloliquefaciens)的研究与探索越来越多,由于其自身具有广泛地抑制真菌与细菌的能力,因而成为具有生物农药开发潜力的微生物。文章对近几年关于解淀粉芽孢杆菌的新发现与新应用、基因功能与分子研究方法的探索、发酵条件与培养基配方的研究进行了总结。