Designing an economically optimal repetitive group-sampling plan based on loss functions

Acceptance sampling is a quality assurance tool, which provides a rule for the producer and the consumer to make acceptance or rejection decision about a lot. This paper attempts to develop a more efficient sampling plan, variables repetitive group sampling plan, based on the total loss to the producer and consumer. To design this model, two constraints are considered to satisfy the opposing priorities and requirements of the producer and the consumer by using Acceptable quality level (AQL) and Limiting quality level (LQL) points on operating characteristic (OC) curve. The objective function of this model is constructed based on the total expected loss. In order to illustrate the application of the proposed model, an example is presented. In addition, the effects of process parameters on the optimal solution and the total expected loss are studied by performing a sensitivity analysis. Finally, the efficiency of the proposed model is compared with the variables single sampling plan, the variables double sampling plan and the repetitive group sampling plan of Balamurali and Jun (2006) in terms of average sample number, total expected loss and its difference with ideal OC curve.     

An algorithmic approach to construct D-optimal saturated designs for logistic model

In this paper, locally D-optimal saturated designs for a logistic model with one and two continuous input variables have been constructed by modifying the famous Fedorov exchange algorithm. A saturated design not only ensures the minimum number of runs in the design but also simplifies the row exchange computation. The basic idea is to exchange a design point with a point from the design space. The algorithm performs the best row exchange between design points and points form a candidate set representing the design space. Naturally, the resultant designs depend on the candidate set. For gain in precision, intuitively a candidate set with a larger number of points and the low discrepancy is desirable, but it increases the computational cost. Apart from the modification in row exchange computation, we propose implementing the algorithm in two stages. Initially, construct a design with a candidate set of affordable size and then later generate a new candidate set around the points of design searched in the former stage. In order to validate the optimality of constructed designs, we have used the general equivalence theorem. Algorithms for the construction of optimal designs have been implemented by developing suitable codes in R.     

Sexual Beliefs and Sexual Functioning: The Mediating Role of Cognitive Distraction

Dysfunctional sexual beliefs are vulnerability factors for sexual dysfunction. This cross-sectional study aimed to test the mediating role of cognitive distraction on the relationship between dysfunctional sexual beliefs about sexual functioning shared by men and women and sexual function. The authors used a sample of 421 cisgender heterosexual participants involved in a monogamous relationship. The hypothesized mediation model was tested using a bootstrapped cross product of coefficients approach. Results showed a significant negative, indirect effect between dysfunctional sexual beliefs and women's sexual function through cognitive distraction. The discussion of this study highlights the importance of cognitive factors in sexual functioning.     

Estimation and simulation of conditional hazard function in the quasi-associated framework when the observations are linked via a functional single-index structure

We consider the estimation of the conditional hazard function of a scalar response variable Y given a Hilbertian random variable X when the observations are linked via a single-index structure in the quasi-associated framework. We establish the pointwise almost complete convergence and the uniform almost complete convergence (with the rate) of the estimate of this model. A simulation is given to illustrate the good behavior in the practice of our methodology.     

论高校网络文化的意识形态功能

高校网络文化是一种由高校师生共建、传播、共享的以大学校园为聚合点的网络文化,具有舆论引导、理论阐释、力量凝聚、思想教育等意识形态功能。当前,由于存在主体参与缺位、内容质量不高等问题,高校网络文化意识形态功能发挥受到一定程度的制约。文章从坚持和加强党对高校网络文化工作的领导、大力提升高校网络文化内容品质、构建高校网络文化平台体系、提升高校网络文化工作队伍能力四个方面,提出了强化高校网络文化的意识形态功能的对策。     

论红歌的历史轨迹及高校的德育功能研究

红歌是一笔不可多得的宝贵精神财富,更是一本德育教育的好教材。通过对红歌在各个历史发展中的资料进行整理,以及对各时期有代表性的曲目举例分析,展现了红歌在各历史时期的巨大价值以及对中国革命、社会主义建设和改革开放的贡献及其德育教育功能。     

论生态伦理及其内涵

有人认为生态伦理就是人际伦理的移用,就是把社会道德规范、原则简单移用到环境事务中来。这样来理解生态伦理是肤浅的,忽略了其质的规定性。其实,生态伦理就是指人类在关于自然环境、生态环境的实践活动中所形成的伦理关系及其调节原则,其内涵包括两个紧密联系的方面:首先,它表征的是一种客观的关系,即人与自然之间的道德关系;其次,它是用以调整相应的关系的积极手段,即生态道德。     

新时代社会主义意识形态的功能提升研究

意识形态功能是意识形态基础研究的核心问题,从意识形态功能提升视角切入是推进我国社会主义意识形态建设的新视阈。在意识形态功能的研究中,抛开时代背景和具体实践谈功能,极易出现意识形态功能研究的“虚化”,形成对意识形态功能的空洞认识。在新时代的历史方位下,结合习近平新时代中国特色社会主义思想论证社会主义意识形态在政治、经济、文化、社会和外交领域的相关功能,以期在市场化、“微时代”、全球化的大环境下通过引领社会主义市场经济改革方向、净化网络空间以及争夺国际话语权等途径,真正实现社会主义意识形态功能的全面提升。     

“一带一路”倡议视野下重庆建设功能性金融中心优势测量*

重庆在“一带一路”倡议中有重要的区位优势。重庆“十三五”规划提出建设国内功能性金融中心,是将重庆与国家战略贯通,既立足重庆,又站在全国和世界的视角发挥重庆金融中心的功能。本文以金融功能观和金融地理学为理论基础,对重庆、成都、西安金融中心的相关指标进行评价,测量重庆金融中心发展的功能优势,以期为“一带一路”倡议下重庆建设功能性金融中心的功能定位和发展策略提供理论和实证参考。     

浅论高校校园文化建设

高校校园文化是高校社会主义精神文明建设的重要载体.它主要具有指导引领功能、熏陶塑造功能、凝聚整合功能和传播辐射功能.笔者从构建和谐的校园文化氛围、建设高品位的校园文化景观和完善高校历史传统的整理研究工作等方面对校园文化建设的具体措施进行了思考.