DEGREE CONDITIONS FOR GRAPHS TO BE FRACTIONAL （a, b, n）-CRITICAL GRAPHS

Let G be a graph, and a and b be integers with a ≤ b. A graph G is called a fraetional （a, b, n）-critical graph if after any n vertices of G are deleted the remaining subgraph has a fractional [a, b]-factor. In this paper two degree conditions for graphs to be fractional （a, b, n）-eritical graphs are presented, and the degree conditions are sharp in some sense.     

Method of Homomorphic Encryption

The existing homomorphie eneryption scheme is based on ring of the integer, and the possible operators are restricted to addition and multiplication only. In this paper, a new operation is defined Similar Modul. Base on the Similar Modul, the number sets of the homomorphic encryption scheme is extended to real number, and the possible operators are extended to addition, subtraction, multiplication and division. Our new approach provides a practical ways of implementation because of the extension of the operators and the number sets.     

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.     

传感器网络推拉混合模式代码传输方法

代码传输是实现无线传感器网络应用重构的关键技术.首先研究传感器网络环境自适应应用重构(EAAR)模型的两种代码传输模式-拉模式和推模式,并结合两种模式的特点提出一种适用于分簇传感器网络的能量有效代码传输模式-基于簇的混合代码传输(Cluster-based Hybrid Code Transmission, CHCT).在该模式下,簇头节点采用拉方式从基站获取代码,簇内节点采用推方式进行代码传输.仿真实验验证了方法的有效性并讨论了影响CHCT性能的主要参数.     

基于形态特征的芒果树L系统建模及其可视化

树木是虚拟森林景观的重要要素,也是自然景观可视化中较难建模与表达的要素之一.传统的树木建模方法无法用简单规律描述形态复杂的树木,且生成的树木往往也忽略生物学意义.因此限制了其实用性.针对这些问题提出了一种能较为全面反映生物学形态结构特征的L系统树木建模方法,并以热带水果种类之一的芒果树为模型对该方法进行了初步的设计与实现,结果表明这种方法能生成植物学形态特征的、具有不同树龄的三维逼真芒果树.     

Determinant selection is a macrophage dependent immune response gene function

Immune response (Ir) genes are linked to the species histocompatibility complex and define as yet uncharacterised phenotypic products which control the immune response to thymus dependent antigens. Antibody formation and antigen induced T lymphocyte proliferation are two examples of immune phenomena which, in vivo and in vitro, operate under Ir gene influence. To clarify their mechanism of action and cellular location, we have examined the contribution of antigen structure (amino acid sequence and conformation to Ir gene control of antigen recognition by T lymphocytes) as well as to the critical role played by the antigen presenting macrophage in expression of that control. We report that immune response gene control of antigen recognition operates at least in part at the level of the macrophage.     

历史文化名城阆中的可持续发展与保护

对阆中古城的自然人文特色和历史文化价值作了剖析，提出在经济与社会迅速发展的条件下，古城的保护应符合可持续发展的要求，并提出要实现古城的可持续发展必须以古城的历史文化为依托，发展文化经济。     

Inhibitory effect of the adenovirus type 5 E1A protein expressed in the yeast system

The human adenovirus type 5 E1A, a tumor- suppressor gene[1], codes for two major related proteins of 243 amino acids (12S) and 289 amino acids (13S) by al-ternative splicing in two exons[2]. Studies have been shown that E1A can regulate expression of many genes and cell cycle[3]. Both in vitro and in vivo experiments indicated that E1A could induce tumor cells differentia-tion, convert tumor cells into an epithelial phenotype, in-hibit tumor cell growth and metastasis and strongly en-ha…