电子显微学在结构生物学研究中的新进展

电子显微学是结构生物学的重要分支，已经成为一种公认的研究生物大分子、超分子复合体及亚细胞结构的有力手段。本文先回顾了近期电子显微学在技术上的新进展，后概述了生物电子显微学的三个组成部分——电子晶体学，单颗粒技术，电子断层成像术的基本原理，技术方法与研究现状。最后，对电子显微学与其他结构生物学研究手段的结合以及电子显微学的未来发展做了简单的展望。     

炼油厂成品油罐区调度优化问题研究

研究了以集合论为基础的调度优化模型。给出了该离散型优化问题的求解算法。根据优化结果，在G2实时智能平台上开发了包含监视子系统和调度子系统的调度支持系统。在中国石化股份有限公司长岭分公司的试用结果表明，该调度系统可以提高炼油厂的生产效率，从而提高炼油厂的经济效益。     

换热器设计中适宜流体用量的确定

利用换热器的操作线来分析讨论流体用量对传热过程的操作费用和设备费用的影响，找出了换热器设计和选型中适宜流体用量的优化确定方法，简便，快捷，具有一定的适用性。     

亚麻织物无醛免烫整理工艺研究

采用多元羧酸聚合型无醛免烫整理剂处理亚麻织物，确立了整理剂、催化剂、添加剂用量等最佳工艺条件，整理后亚麻织物的免烫性能得到了明显的改善。     

Preparation and properties of nano-sized SnO2 powder

1　INTRODUCTIONSnO2isoneofthemainmaterialsusedingassensor.Becauseofthehumidityandgassensingfunction,itattractsmoreandmoreattentions.Butthepresentproblemishowtoimprovethestabilityandsensibilityofgassensor.Researchershavetakenmanymeasurestoresolvethisproble…     

工艺参数对纳米颗粒Cu/SiO_2复合薄膜结构和光谱特性的影响

用离子束溅射法制备了具有反常光吸收特性的纳米颗粒CU／SiO2复合薄膜。获得了在离子来参数一定时，基片温度、膜料的沉积时间和镀膜后的保温时间等工艺参数对这种薄膜结构和光学特性的影响规律，并对纳米颗粒Cu／SiO2复合薄膜的反常光吸收特性作了计算和解释。     

On the determination of optimal transition profile of a stepped bar in tension or in torsion by BEM

The objective is to have uniformly distributed tangential stresses on the transition profile of a stepped bar subjected to tensile and torsional loading using an axisymmetric boundary element formulation. The transition curve is represented by the Langragian interpolation polynomial with progressive degrees to avoid shape distortion during the optimization procedure. The calculated result is compared with that obtained by fluid dynamics given in the literature. It is seen that the transition curve obtained in this paper is reasonable.     

离子注入中污染的产生及防护

本文概述了离子注入过程中污染产生的原因和防止污染的措施，特别强调了对微粒污染和金属污染的防护以满足ＵＬＳＩ加工对离子注入的要求。     

A survey of parallel execution strategies for transitive closure and logic programs

An important feature of database technology of the nineties is the use of parallelism for speeding up the execution of complex queries. This technology is being tested in several experimental database architectures and a few commercial systems for conventional select-project-join queries. In particular, hash-based fragmentation is used to distribute data to disks under the control of different processors in order to perform selections and joins in parallel. With the development of new query languages, and in particular with the definition of transitive closure queries and of more general logic programming queries, the new dimension of recursion has been added to query processing. Recursive queries are complex; at the same time, their regular structure is particularly suited for parallel execution, and parallelism may give a high efficiency gain. We survey the approaches to parallel execution of recursive queries that have been presented in the recent literature. We observe that research on parallel execution of recursive queries is separated into two distinct subareas, one focused on the transitive closure of Relational Algebra expressions, the other one focused on optimization of more general Datalog queries. Though the subareas seem radically different because of the approach and formalism used, they have many common features. This is not surprising, because most typical Datalog queries can be solved by means of the transitive closure of simple algebraic expressions. We first analyze the relationship between the transitive closure of expressions in Relational Algebra and Datalog programs. We then review sequential methods for evaluating transitive closure, distinguishing iterative and direct methods. We address the parallelization of these methods, by discussing various forms of parallelization. Data fragmentation plays an important role in obtaining parallel execution; we describe hash-based and semantic fragmentation. Finally, we consider Datalog queries, and present general methods for parallel rule execution; we recognize the similarities between these methods and the methods reviewed previously, when the former are applied to linear Datalog queries. We also provide a quantitative analysis that shows the impact of the initial data distribution on the performance of methods. Recommended by: Patrick Valduriez