是达到了最高学术水平,还是罕见的假冒伪劣--评荆贵生主编的《古代汉语》

河南师范大学教授荆贵生宣称由他主编的<古代汉语>达到了最高学术水平,本文则以大量无可辩驳的事实揭露该书是一部罕见的假冒伪劣之作.此外,作者谴责了庸俗的书评,并对如何制止践踏学术道德、违背学术规范的不良现象,提出了自己的看法.     

“大范围抽血采验DNA”现象研究

随着DNA技术在刑事司法实践中的应用,"大范围抽血采验DNA"这种侦查方式被侦查机关广泛使用,其对刑事案件的侦破起到了一定积极作用,但也存在较大缺陷。根据对"大范围抽血采验DNA"的产生发展及其实际应用状况等方面的分析,这一侦查方式不仅侵害公民合法权益,而且成本高昂、成功机率不高。应规范侦查机关的侦查权,完善刑事诉讼法。     

Horn Clause Computation with DNA Molecules

In this paper, we will propose Horn clause computation as an underlying computational framework of DNA computer. Horn clause program is a subclass of the formulas of first order logic and has close relation to PROLOG language. The computational power of Horn clauses was discussed in (Tärnland, 1977) and it was shown that a finite set of Horn clauses is computationally equivalent to Turing Machine. Furthermore, it should be noted that Horn programs are adequate for representing nondeterministic computation. Thus, its parallel implementation with huge number of molecules might have possibility to overcome the computational power of conventional computers. It should also be noted that the clear logical semantics of Horn programs might enable us to accept it as a higher-level programming language of DNA computer. The aim of this paper is to propose an experimental method for implementing deduction with a subclass of Horn programs, called simple Horn programs. The computational power of this model is theoretically investigated and demonstrated with some applications to NP-complete problems.     

Some challenges for statistics

The paper gives a highly personal sketch of some current trends in statistical inference. After an account of the challenges that new forms of data bring, there is a brief overview of some topics in stochastic modelling. The paper then turns to sparsity, illustrated using Bayesian wavelet analysis based on a mixture model and metabolite profiling. Modern likelihood methods including higher order approximation and composite likelihood inference are then discussed, followed by some thoughts on statistical education.     

Estimation of parameters in DNA mixture analysis

In [7], a Bayesian network for analysis of mixed traces of DNA was presented using gamma distributions for modelling peak sizes in the electropherogram. It was demonstrated that the analysis was sensitive to the choice of a variance factor and hence this should be adapted to any new trace analysed. In this paper, we discuss how the variance parameter can be estimated by maximum likelihood to achieve this. The unknown proportions of DNA from each contributor can similarly be estimated by maximum likelihood jointly with the variance parameter. Furthermore, we discuss how to incorporate prior knowledge about the parameters in a Bayesian analysis. The proposed estimation methods are illustrated through a few examples of applications for calculating evidential value in casework and for mixture deconvolution.     

Could you help me,please? Intersectional field experiments on everyday discrimination in clothing stores

Although we live in a society that pictures itself as antiracial and gender equal, research has shown that subtle forms of discrimination persist and affect the everyday life of ethnic minorities and women. This study investigates everyday discrimination while shopping in clothing stores of different price ranges from an intersectional perspective looking at ethnic and gender discrimination. To measure discrimination, we performed situation tests among 301 salesclerks. Results show that customers from Maghrebi descent receive unfavourable treatment in comparison with their Belgian counterparts when they ask for their clothing size. Furthermore, they are greeted or approached less often and are more surveilled and followed by salesclerks. Gender follows a specific pattern. Men are significantly more greeted and approached than women within both Maghrebi and Belgian groups. Moreover, men are more stared at and followed by the shop assistant, but this is only significant for the Maghrebi group. There is no difference in receiving help between men and women within both groups. In general, the intensity and form of discrimination tend to be subtler and lower in high-end than low-end stores.     

Runtime and memory consumption analyses for machine learning R programs

R is a multi-paradigm language with a dynamic type system, different object systems and functional characteristics. These characteristics support the development of statistical algorithms at a high level of abstraction. Although R is commonly used in the statistics domain a big disadvantage are its runtime problems when handling computation-intensive algorithms. Especially in the domain of machine learning the execution of pure R programs is often unacceptably slow. Our long-term goal is to resolve these issues and in this contribution we used the traceR tool to analyse the bottlenecks arising in this domain. Here we measured the runtime and overall memory consumption on a well-defined set of classical machine learning applications and gained detailed insights into the performance issues of these programs.     

9·11事件对美国穆斯林的冲击与影响

在谈论9·11事件带来的影响时,美国国内的穆斯林少数族群很少被人提起。然而,此次恐怖袭击却对这个在美国拥有数百万人口的群体产生了极大的冲击。美国官方制定的相关法律法规在诸多方面对穆斯林群体的生活造成了负面影响,与此同时美国社会中亦充斥着针对该群体的言语虐待、恐吓威胁、非言语敌意、就业偏见与歧视等。从历史上看,每当美国面临国家危机时,其国内的种族排斥倾向就会加强。9.11事件后美国穆斯林群体的遭遇也符合这一历史规律。