内燃机燃烧过程仿真后处理输入文件Ipost的研究

以系统论为理论依据，在计算机上进行试验和分析，研究了输入件的设计要求和方法。研究表明：后处理输入件要设计后处理硬件类型、图形件(*．ps)的输出模式和镜像输出条件等总则，要确定输出内容包括网格划分和性能计算结果两个大的方面，网格划分的输出可以按平面图和三维图两种类型输出。性能等高线图和矢量图可以按正平面图和斜平面图的类型输出，网格图和性能图均按仿真计算的曲轴转角(时间)输出。     

Photosensitized splitting of cis-syn 1,3-dimethyluracil dimer by tryptophan and its peptides

Photosensitized splitting of cis-syn 1,3-dimethyluracil dimer by tryptophan (Trp) and its peptides (Trp-Tyr and Trp-Phe) is studied by fluorescence quenching experiments and irradiation experiments.It reveals that 1,3-dimethyluracil dimer is mainly split by e?-?aq resulting from two-photon ionization of Trp and its peptides under irradiation with light (λ>290 nm).Moreover,the excited singlet state of Trp and its peptides can transfer an electron to the dimer,which splits and gives two pyrimidines.In addition,because of its lower oxidative potential,the excited triplet state of Trp-Tyr can also split the dimer via transfering an electron to the dimer.     

匀加速荷电黑洞的量子非热辐射

本文利用Ｈａｍｉｌｔｏｎ－Ｊａｃｏｂｉ方程和推广的Ｔｏｒｔｏｉｓｅ坐标，讨论了匀加速荷电黑洞的量子非热辐射，结果表明，当ωｈ大于零时，在视界附近的邻域内，正能态与付能态姓交错，在交错的区域中会产生自发的量子非热辐时，这种量子非热辐射是由电磁势和黑洞的加速作用引起的。     

中小学局域网建设的实践

针对中学局域网的建设，本文从实际应用的角度探讨了中学局域网建设的若干重要环节，分析了中学局域网建设中遇到的困难，指出了注意事项。     

ICP-AES光谱仪的研制及其分析软件的设计

目前,市场上的ICP光谱仪仍以国外仪器为主,国内仪器的开发与研制始终未能有所突破,在仪器分析软件上仍属空白,这极大限制了国内ICP光谱仪的发展.本文主要针对单道顺序扫描型ICP-AES光谱仪的硬件及分析软件的开发提供了思路.     

试论西方戏剧的视野

巴赫金把视野分为人物的内视野和外视野。内视野中的人物形象与外视野中的人物形象在空间、时间和思想含义三方面都有一定的区别，前者比后者更具丰富性和发展性。西方剧作家有利用外视野来塑造人物时，比较重视正面人物的内视野，把他们的性格描绘得比较丰富，而反面人物的内视野较为有限。但也有些戏剧在一定的程度上体现了双方的内视野。     

浅论信息化社会图书馆的服务功能

本文着眼于信息化社会对图书馆工作的影响和要求 ,阐述了图书馆由“借阅服务”到“信息服务”的服务功能的演变、信息服务的特点和信息服务对图书馆员的要求。对做好新时期的图书馆工作具有较强的理论价值和现实指导意义     

试论张洁初期作品中的叙述语言

从叙事学的角度，对张洁步入文坛初期作品的叙述语言，进行了全面系统的分析，探讨了其作品叙述语言的特色和规律。指出了张洁叙述语言的秀逸清丽、揭示心灵、对比观照三方面的特点，着重分析了张洁在作品中所运用的叙述方式和手法。     

Finding finer functions for partially characterized proteins by protein-protein interaction networks

Based on high-throughput data, numerous algorithms have been designed to find functions of novel proteins. However, the effectiveness of such algorithms is currently limited by some fundamental factors, including (1) the low a-priori probability of novel proteins participating in a detailed function; (2) the huge false data present in high-throughput datasets; (3) the incomplete data coverage of functional classes; (4) the abundant but heterogeneous negative samples for training the algorithms; and (5) the lack of detailed functional knowledge for training algorithms. Here, for partially characterized proteins, we suggest an approach to finding their finer functions based on protein interaction sub-networks or gene expression patterns, defined in function-specific subspaces. The proposed approach can lessen the above-mentioned problems by properly defining the prediction range and functionally filtering the noisy data, and thus can efficiently find proteins’ novel functions. For thousands of yeast and human proteins partially characterized, it is able to reliably find their finer functions (e.g., the translational functions) with more than 90% precision. The predicted finer functions are highly valuable both for guiding the follow-up wet-lab validation and for providing the necessary data for training algorithms to learn other proteins.