并行编程模式及分析

讨论了主从模型、单控制流多数据流、分治策略、数据流水线、投机策略、混合模型六种并行编程模型的结构和工作方式、性能及特点,分析统计了大量应用程序。指出了并行程序设计中,并行编程模式的选择直接影响了并行程序的正确性和效率,而主从模型和单控制流多数据流在整体性能上最优,程序执行效率也最好,是两种最常用的并行编程模型。     

基于并行遗传算法的去相关多用户检测器

通过将码分多址通信系统中的最佳多用户检测视为组合优化问题,利用遗传算法能全局寻优的优势,提出了一种基于并行遗传算法的去相关多用户检测器。理论分析和仿真表明:该多用户检测器无论是抗多址干扰的能力还是抗远近效应的能力都明显优于传统的检测器和去相关多用户检测器;由于采用了基于“联姻”策略的并行遗传算法,使这种多用户检测器更易于实时应用和硬件实现。     

立法程序的法理分析

立法程序乃是具有立法权限的国家机关制定、修改和废止规范性法律文件所遵循的制度化的正当过程 ,是限制立法者恣意进而使立法活动彰显程序正义的制度设置 ,也是国家通过立法手段协调利益冲突、规制社会秩序及配置社会资源的合法路径和正当法律程序。现代立法程序具有民主性、公开性、交涉性及自律性等几大属性。现代立法程序的价值体系主要由正义、效率和秩序等构成。其中 ,正义奠定了立法程序的道德基石 ,效率赋予了立法程序经济性的内涵 ,秩序则给立法程序注入了制度化的理念。现代立法程序的建构及运作应当遵循“正义优先、兼顾效率和秩序”的价值取向。     

商标权保护与平行进口问题研究

文章从国际货物贸易中的专利平行进口问题的含义,重点在于对“权利穷竭”原则与“地域性”原则两种理论依据进行相关内容分析。通过分析世界各国对待商标平行进口的态度,对当前中国知识产权领域商标平行进口立法方向做出自己的判断。     

量子阱光电子开关器件(一)

量子阱半导体结构可使诸如光调制器和开关等光电子器件做得更小、更快、效率更高。它所具有的逻辑特性使其在并行高速互连的电子集成电路的集成度上具有良好的潜力。光电子器件能采用波导,也能采用二维并行阵列制作。其集成规模可达2048个单元,可工作的光逻辑和存贮器件的阵列得以实现及运行,所有单元都可由自由空间光(free-space optics)进行外部并行访问。本文概述了量子阱器件的运行机理及其发展前景。     

论我国福利行政的程序完善

认为福利行政的程序是灵活的、弹性的,是自由裁量的领域的观点,是对西方行政法学理论的一种误读。福利行政程序的主要内容还是刚性的程序性规定,这一部分内容才是福利行政程序的核心所在。从中国国情考虑,可以在《行政程序法》中单设行政给付程序一节。在立法内容上,应在启动程序、决定程序、听证程序、公开程序等方面进行有针对性的设计,引入依职权启动程序、简易程序和事后听证等新型程序。     

Queering Canadian Social Work Accreditation standards and procedures: a content analysis

ABSTRACT

This paper reviews and critically analyzes the Canadian Association for Social Work Education—Association Canadienne Pour La Formation En Travail Social’s (CASWE-ACFTS’) Accreditation Standards and Procedures from a Sexual Orientation Gender Identity and Expression (SOGIESC) lens to examine how such are addressed in relevant documents. The CASWE-ACFTS Queer Caucus undertook a lead role in examining ‘diversity’ in the documents as it serves as an umbrella term for SOGIESC and other intersecting positionalities. This paper iterates an initial response in the CASWE-ACFTS Queer Caucus’ ongoing consultation with the CASWE-ACFTS’s Education Policy Committee’s work on Education Policy and Accreditation Standards 2019 (EPAS2019). The content analysis of the documents reveals that SOGIESC issues are not adequately addressed and this has implications for undergraduate and graduate social work curricula in Canada. The authors provide recommendations that address the integration of SOGIESC in CASWE-ACFTS’s Accreditation Standards and Procedures documents.     

在比较的视野中看李华的骈文成就

李华的文学成就以古文称著，并在中国文学史上占有一席光辉的地位。然而，李华的骈文是其古文成立的基础。在中国文类发展史中，李华的骈文乃是介于六朝骈文和唐宋散文之间的一个亚类。对李华骈文代表作的分析表明，其骈文不仅影响了唐宋古文，还对宋四六的形成起到了范型作用。此外，李华的骈文对研究中国韵文体寓言的缺类问题也有参考价值。     

Combining Multivariate Bioassays: Accurate Inference Using Small Sample Asymptotics

For several independent multivariate bioassays performed at different laboratories or locations, the problem of testing the homogeneity of the relative potencies is addressed, assuming the usual slope‐ratio or parallel line assay model. When the homogeneity hypothesis holds, interval estimation of the common relative potency is also addressed. These problems have been investigated in the literature using likelihood‐based methods, under the assumption of a common covariance matrix across the different studies. This assumption is relaxed in this investigation. Numerical results show that the usual likelihood‐based procedures are inaccurate for both of the above problems, in terms of providing inflated type I error probabilities for the homogeneity test, and providing coverage probabilities below the nominal level for the interval estimation of the common relative potency, unless the sample sizes are large, as expected. Correction based on small sample asymptotics is investigated in this article, and this provides significantly more accurate results in the small sample scenario. The results are also illustrated with examples.     

On parallel policies for ranking and selection problems

In this paper we develop and test experimental methodologies for selection of the best alternative among a discrete number of available treatments. We consider a scenario where a researcher sequentially decides which treatments are assigned to experimental units. This problem is particularly challenging if a single measurement of the response to a treatment is time-consuming and there is a limited time for experimentation. This time can be decreased if it is possible to perform measurements in parallel. In this work we propose and discuss asynchronous extensions of two well-known Ranking & Selection policies, namely, Optimal Computing Budget Allocation (OCBA) and Knowledge Gradient (KG) policy. Our extensions (Asynchronous Optimal Computing Budget Allocation (AOCBA) and Asynchronous Knowledge Gradient (AKG), respectively) allow for parallel asynchronous allocation of measurements. Additionally, since the standard KG method is sequential (it can only allocate one experiment at a time) we propose a parallel synchronous extension of KG policy – Synchronous Knowledge Gradient (SKG). Computer simulations of our algorithms indicate that our parallel KG-based policies (AKG, SKG) outperform the standard OCBA method as well as AOCBA, if the number of evaluated alternatives is small or the computing/experimental budget is limited. For experimentations with large budgets and big sets of alternatives, both the OCBA and AOCBA policies are more efficient.