《齐己诗集校注》中几个人物辩证

对《齐己诗集校注》中的四首诗中涉及到的人物＂丞相＂、＂关令＂、＂马辨＂、＂栖公＂、＂徐员外＂注释进行辩证。指出＂丞相家＂非马殷家,而是唐相张九龄家;＂关令＂,非谓苻坚,而＂马辨＂非为人物,用的是《公孙龙子》中＂白马非马＂典故;＂栖公＂非谓栖隐,而是齐己的另一诗人僧友栖蟾;＂徐员外＂非不详其人,而是马楚国天策府学士徐仲雅。     

藏语语音合成中语料数据标注规则的设计

基于隐马尔可夫模型（HMM）的藏语语音合成系统中,语料数据的标注是训练声学模型的基础和关键。文章结合藏语独有的语音特点对语料数据设计套标注规则,并以Praat为标注环境实现语料的标注。     

A deep learning ensemble for function prediction of hypothetical proteins from pathogenic bacterial species

Protein function prediction is a crucial task in the post-genomics era due to their diverse irreplaceable roles in a biological system. Traditional methods involved cost-intensive and time-consuming molecular biology techniques but they proved to be ineffective after the outburst of sequencing data through the advent of cost-effective and advanced sequencing techniques. To manage the pace of annotation with that of data generation, there is a shift to computational approaches which are based on homology, sequence and structure-based features, protein-protein interaction networks, phylogenetic profiles, and physicochemical properties, etc. A combination of these features has proven to be promising for protein function prediction in terms of improving prediction accuracy. In the present work, we have employed a combination of features based on sequence, physicochemical property, subsequence and annotation features with a total of 9890 features extracted and/or calculated for 171,212 reviewed prokaryotic proteins of 9 bacterial phyla from UniProtKB, to train a supervised deep learning ensemble model with the aim to categorize a bacterial hypothetical/unreviewed protein’s function into 1739 GO terms as functional classes. The proposed system being fully dedicated to bacterial organisms is a novel attempt amongst various existing machine learning based protein function prediction systems based on mixed organisms. Experimental results demonstrate the success of the proposed deep learning ensemble model based on deep neural network method with F1 measure of 0.7912 on the prepared Test dataset 1 of reviewed proteins.     

Comparative genomics for understanding the structure,function and sub-cellular localization of hypothetical proteins in Thermanerovibrio acidaminovorans DSM 6589 (tai)

The Thermanerovibrio acidaminovorans DSM 6589 (tai) is a unique bacterium isolated from anaerobic sludge bed reactor from sugar refinery in Netherland. The comparative genomic studies for understanding the hypothetical proteins in T. acidaminovorans DSM 6589 (tai) were carried out using different bioinformatic tools and web servers. In all 320 hypothetical proteins were screened from the total available genome. The Insilico function prediction for 320 hypothetical proteins was achieved by using different online servers like CDD-Blast, Interproscan and pfam whereas, the structure prediction for 202 hypothetical proteins were deciphered by using protein structure prediction server (PS2 server). The sub-cellular localization for the identified proteins was predicted by the use of cello v2.5 for 320. The study carried out has helped us to understand the structures and functions of unknown proteins available in T. acidaminovorans DSM 6589 (tai) through comparative genomic approach.     

BS-RNA: An efficient mapping and annotation tool for RNA bisulfite sequencing data

Cytosine methylation is one of the most important RNA epigenetic modifications. With the development of experimental technology, scientists attach more importance to RNA cytosine methylation and find bisulfite sequencing is an effective experimental method for RNA cytosine methylation study. However, there are only a few tools can directly deal with RNA bisulfite sequencing data efficiently. Herein, we developed a specialized tool BS-RNA, which can analyze cytosine methylation of RNA based on bisulfite sequencing data and support both paired-end and single-end sequencing reads from directional bisulfite libraries. For paired-end reads, simply removing the biased positions from the 5′ end may result in “dovetailing” reads, where one or both reads seem to extend past the start of the mate read. BS-RNA could map “dovetailing” reads successfully. The annotation result of BS-RNA is exported in BED (.bed) format, including locations, sequence context types (CG/CHG/CHH, H = A, T, or C), reference sequencing depths, cytosine sequencing depths, and methylation levels of covered cytosine sites on both Watson and Crick strands. BS-RNA is an efficient, specialized and highly automated mapping and annotation tool for RNA bisulfite sequencing data. It performs better than the existing program in terms of accuracy and efficiency. BS-RNA is developed by Perl language and the source code of this tool is freely available from the website: http://bs-rna.big.ac.cn.     

论《桃花扇》是忠清之作——兼评徐振贵《孔尚任全集辑校注评》

《桃花扇》中的几个时间都是经过精心设定的,表明孔尚任既有对历史的沉思,又有对现实的关怀。清初官方断明亡于崇祯朝,是亡于闯贼、亡于权奸、亡于门户,承认明朝及崇祯的正统地位,并祭祀明陵、礼葬崇祯、褒奖殉难诸臣,不承认弘光朝,而《桃花扇》的观点与官方一致,所以剧中祭崇祯及殉难诸臣并不意味着反清。“入道”即避乱,是暂时的,最后的结局是老赞礼下山颂圣。因此,应认为《桃花扇》是一部忠清之作。     

试论张尔岐的《仪礼》诠释特色及其成就

在清初礼学的复兴运动中,张尔岐所著《仪礼郑注句读》在对《仪礼》的整体把握乃至局部礼仪的研究、治礼方法的探索等方面,都具有自身的独到认知和特色,创见良多。将张尔岐的《仪礼》诠释置身于清初礼经诠释史的背景下进行观照,发掘万氏礼经研习的学术取向、注释体例和诠释特色,以及礼经诠释的校勘、辨伪情况,不仅有助于认知张尔岐礼经学的实际价值和贡献,更有助于重构与还原清代礼学研究的真实面貌。     

陆云龙对钟惺诗文的评点

陆云龙是明末清初的评选家、出版家。在竞陵派风行的时期，他选评、出版了一些钟惺的诗文，表现出较为现代的小品文概念，以及与钟惺较为相近的文学观点：反对复古模拟，文学要表现情感，要讲究作品的结构，等等。这些对于陆云龙、钟惺的研究很有价值。     

基于注释人脸模型的三维面部数据局部匹配

传统人脸识别在非正常光照和姿势的情况下鲁棒性较低。针对非正常角度下人脸数据的局部缺失导致识别率降低的问题,提出了一种统一的解决局部匹配问题的方法。通过引入基于曲率和径向距离的3D标志指示器,进行3D人脸标志检测,采用注释人脸模型(annotation facial model,AFM)进行初始配准,扩展可变模型框架即利用在拟合过程中人脸对称性的优点,使得局部匹配问题可以将缺失数据完整化,从而真正地实现了姿态的不变性。最后,在通用的3D人脸数据库FRGCv2及来自圣母大学的人耳数据库的集合F、G上进行实验,验证了所提方法的有效性。     

论陈寅恪的学术个性

陈寅恪为中国20世纪罕见的具有鲜明学术个性的文化巨人和学术大师。学术的独立和思想的自由是其毕生所坚持的奋斗目标；历史文化的辨析与阐发为其终生的努力方向；以语言为工具、以材料为基础是其一贯的治学态度；种族差异和中国文化本位是其基本的文化观念；打通意识和史诗互证是其常用的研究方法；“了解之同情”和“古典”、“令典”的疏解是其主要的阐释原则和方法。