科技正义与法之正义关系的辨析

改革开放后,我国的科技发展模式由行政计划模式向市场法治模式过渡,市场经济使科技主体与立法主体的正义观发生巨大变化,进而导致科技法的正义内涵也在发生着演化.科技产生的社会问题激化了伦理道德与实在法之间的矛盾,立法者亟须发掘当代科技的正义内涵,并适时创制或修订科技法,以适应新形势的要求.应从正义内涵入手,拓展科技的正义价值观,为整合科技法的价值目标提供理论基础,并且探析科技引发现行法弊端的解决途径.     

浅谈张学良的军队教育理念

张学良的政治生涯始终与军人紧密地联系在一起.纵观张学良的戎马军旅生涯,他对提高军队战斗力、改善军队素质、造就军事人才有着独特的教育理念和实践.在军事技术教育方面,张学良强调要训练精兵强将;在军队政治思想教育方面,张学良强调要为民族争生存;在军纪风纪教育方面,张学良强调要造就文明之军人;在军队文化教育方面,张学良强调要培养有文化的士兵.张学良的军队教育理念是其爱国主义思想的重要组成部分,深刻地诠释着他抵御外侮、强国富民、抗日救亡、复兴民族的爱国主义思想.     

《艺文类聚》编撰人员考辨

传统观点认为,《艺文类聚》是"欧阳询撰"或"欧阳询等撰",这种看法源自《艺文类聚》的书前署名和《旧唐书·经籍志》的著录。而这样的记载只是为了表述上的方便,往往突出了欧阳询,却遮蔽了其他起过重要作用的编撰人员。在短时间内编成一部体例较为完善的大型类书,一定是多人分工主导编撰而成。史书上记载的六位编撰人员均具有良好的资质,且其中四位留下了主导编撰的痕迹。欧阳询、陈叔达、裴矩和袁朗是《艺文类聚》实际上的领修人。     

影响创新扩散速度的社会和技术因素之研究

通过对美国、中国内地和香港等不同地区不同创新物在各自特定时空中的扩散轨迹的总结和分析,把影响创新扩散的因素归纳为两大类:社会的和技术的。其中,社会因素又区分为创新产生的年代和创新扩散的地区,而技术因素主要指创新属性,分为计算类、电信类、家庭娱乐类和大众媒介类。研究结果发现,社会因素中的创新出现的时间对于创新扩散的形态具有显著影响;扩散所在地区和创新特性对创新扩散的形态没有显著影响。     

Lower bound of average centered L2-discrepancy for U-type designs

Uniform designs are widely used in various scientific investigations and industrial applications. By considering all possible level permutation of the factors, a connection between average centered L₂-discrepancy and generalized wordlength pattern for asymmetrical fractional factorial designs is derived. Moreover, we present new lower bounds to the average centered L₂-discrepancy for symmetrical and asymmetrical U-type designs. For illustration of the theoretical results, the lower bounds for symmetrical and asymmetrical U-type designs are tabulated, and numerical results indicate that our lower bounds behave well and can be recommended for use in practice.     

Estimating E-bayesian and hierarchical bayesian of scalar parameter of gompertz distribution under type II censoring schemes based on fuzzy data

In this study, the E-Bayesian and hierarchical Bayesian of the scalar parameter of a Gompertz distribution under Type II censoring schemes were estimated based on fuzzy data under the squared error (SE) loss function and the efficiency of the proposed methods was compared with each other and with the Bayesian estimator using Monte Carlo simulation.     

Optimal scheduling replacement policies for a system with multiple random works

From the economical viewpoint in reliability theory, this paper addresses a scheduling replacement problem for a single operating system which works at random times for multiple jobs. The system is subject to stochastic failure which results the imperfect maintenance activity based on some random failure mechanism: minimal repair due to type-I (repairable) failure, or corrective replacement due to type-II (non-repairable) failure. Three scheduling models for the system with multiple jobs are considered: a single work, N tandem works, and N parallel works. To control the deterioration process, the preventive replacement is planned to undergo at a scheduling time T or the job's completion time of for each model. The objective is to determine the optimal scheduling parameters (T^* or N^*) that minimizes the mean cost rate function in a finite time horizon for each model. A numerical example is provided to illustrate the proposed analytical model. Because the framework and analysis are general, the proposed models extend several existing results.     

Recent developments in D-optimal designs

In the paper, some issues concerned with the determining spring balance weighing designs satisfying the criterion of D-optimality under the assumption measurement errors are uncorrelated and they have the same variances are discussed. In addition, highly D-efficient spring balance weighing designs are also considered. Some conditions under which any spring balance weighing design is regular D-optimal or highly D-efficient are proved. What is more, new construction methods of regular D-optimal and highly D-efficient spring balance weighing designs are presented.     

A new infinitely divisible discrete distribution with applications to count data modeling

A new discrete distribution involving geometric and discrete Pareto as special cases is introduced. The distribution possesses many interesting properties like decreasing hazard rate, zero vertex uni-modality, over-dispersion, infinite divisibility and compound Poisson representation, which makes the proposed distribution well suited for count data modeling. Other issues including closure property under minima, comparison of its distribution tail with other distributions via actuarial indices are discussed. The method of proportion and maximum likelihood method are presented for parameter estimation. Finally the performance of the proposed distribution over other classical and newly proposed infinitely divisible distributions are discussed.     

Tempered Mittag-Leffler Lévy processes

In this article, we introduce tempered Mittag-Leffler Lévy processes (TMLLP). TMLLP is represented as tempered stable subordinator delayed by a gamma process. Its probability density function and Lévy density are obtained in terms of infinite series and Mittag-Leffler function, respectively. Asymptotic forms of the tails and moments are given. A step-by-step procedure of the parameters estimation and simulation of sample paths is given. We also provide main results available for Mittag-Leffler Lévy processes (MLLP) and some extensions which are not available in a collective way in a single article. Our results generalize and complement the results available on Mittag-Leffler distribution and MLLP in several directions. Further, the asymptotic forms of the moments of the first-exit times of the TMLLP are also discussed.