Design selection for strong orthogonal arrays

Strong orthogonal arrays (SOAs) were recently introduced and studied as a class of space‐filling designs for computer experiments. An important problem that has not been addressed in the literature is that of design selection for such arrays. In this article, we conduct a systematic investigation into this problem, and we focus on the most useful SOA(n,m,4,2 + )s and SOA(n,m,4,2)s. This article first addresses the problem of design selection for SOAs of strength 2+ by examining their three‐dimensional projections. Both theoretical and computational results are presented. When SOAs of strength 2+ do not exist, we formulate a general framework for the selection of SOAs of strength 2 by looking at their two‐dimensional projections. The approach is fruitful, as it is applicable when SOAs of strength 2+ do not exist and it gives rise to them when they do. The Canadian Journal of Statistics 47: 302–314; 2019 © 2019 Statistical Society of Canada     

A primal dual active set with continuation algorithm for high-dimensional nonconvex SICA-penalized regression

The smooth integration of counting and absolute deviation (SICA) penalty has been demonstrated theoretically and practically to be effective in nonconvex penalization for variable selection and parameter estimation. However, solving the nonconvex optimization problem associated with SICA penalty in high-dimensional setting remains to be enriched, mainly due to the singularity at the origin and the nonconvexity of the SICA penalty function. In this paper, we develop a fast primal dual active set (PDAS) with continuation algorithm for solving the nonconvex SICA-penalized least squares in high dimensions. Upon introducing the dual variable, the PDAS algorithm iteratively identify and update the active set in the optimization using both the primal and dual information, and then solve a low-dimensional least square problem on the active set. When combined with a continuation strategy and a high-dimensional Bayesian information criterion (BIC) selector on the tuning parameters, the proposed algorithm is very efficient and accurate. Extensive simulation studies and analysis of a high-dimensional microarray gene expression data are presented to illustrate the performance of the proposed method.     

A comparative study of confidence intervals to assess biosimilarity from analytical data

Assessment of analytical similarity of tier 1 quality attributes is based on a set of hypotheses that tests the mean difference of reference and test products against a margin adjusted for standard deviation of the reference product. Thus, proper assessment of the biosimilarity hypothesis requires statistical tests that account for the uncertainty associated with the estimations of the mean differences and the standard deviation of the reference product. Recently, a linear reformulation of the biosimilarity hypothesis has been proposed, which facilitates development and implementation of statistical tests. These statistical tests account for the uncertainty in the estimation process of all the unknown parameters. In this paper, we survey methods for constructing confidence intervals for testing the linearized reformulation of the biosimilarity hypothesis and also compare the performance of the methods. We discuss test procedures using confidence intervals to make possible comparison among recently developed methods as well as other previously developed methods that have not been applied for demonstrating analytical similarity. A computer simulation study was conducted to compare the performance of the methods based on the ability to maintain the test size and power, as well as computational complexity. We demonstrate the methods using two example applications. At the end, we make recommendations concerning the use of the methods.     

基于网络表达的皖南乡村民宿消费体验与提升对策研究

民宿作为一种新型的住宿产品,是发展乡村旅游和丰富住宿业态的重要载体.对皖南民宿网络评价文本分析发现,住客对皖南民宿的消费体验感知主要体现在软件服务、硬件设施、周边环境以及入住体验四个方面,"老板"和"房间"是住客感知最为深刻的具体对象,住客网络评论中积极情感占据绝对地位,大部分要素的表现性得分较高,但民宿的位置、交通、餐饮等方面也存在一定的消极感知.可以从服务质量、地域文化以及品牌创建与宣传方面进一步提升皖南民宿住客消费体验质量,促进区域业态可持续发展.     

论民族地区文化振兴的价值认知--基于云南的考察

文化是乡村振兴的灵魂,也是乡村振兴彰显地域性和文化性双重价值的重要资源。在现代文化冲击下,民族地区文化振兴面临村寨建筑文化城市化、传统文化失传、乡土文化主体缺失、村寨公共文化空间萎缩等多重现代性困境。根据云南民族地区文化资源禀赋,其乡村文化振兴应该以物质性文化、社会性文化和制度性文化为价值维度。云南民族地区文化振兴应该坚持以乡土性、选择性和公共性三位一体的价值选择为原则。     

高校开展咏唱爱国主义歌曲活动的意义和经验分析——以祖国七十大庆高校开展咏唱爱国主义歌曲活动为例

爱国主义歌曲作为对祖国抒发赞颂之情的歌曲,是“光荣颂”“欢乐颂”“祝福颂”的有机统一,是培育和践行社会主义核心价值观的重要载体。从精神价值而言,爱国主义歌曲具有社会公共性、历史恒久性、无比崇高性。高校开展咏唱爱国主义歌曲活动,能增进学生对祖国的自豪之情,提升其民族自信,激发其报国之志。高校开展咏唱爱国主义歌曲活动,即要精选优异的爱国主义歌曲音乐本体,又要注重发挥高校教师的带头作用,还要加强学校各级组织机构和辅导员队伍的引领作用。高校党政领导对这类歌咏活动要进一步提高认识站位、增强重视程度、加强条件支持。     

基于混合CVaR的供应链绿色研发-广告决策与协调机制研究

针对消费者绿色偏好异质性而引发产品需求不确定性的情形，构建了基于混合CVaR准则的绿色供应链双层风险决策模型，研究了一个具有不同风险态度制造商与一个具有不同风险态度零售商所组成供应链的最优绿色研发投入及广告宣传水平等决策问题，分析了成员不同风险态度对供应链相关决策的影响。在此基础上，提出一个基于风险补偿的双向成本分担契约协调机制，并给出实现供应链协调的合理转移支付区间，最后通过数值分析验证该协调机制的有效性。结果表明，无论供应链成员表现为何种风险态度，该契约均能实现供应链协调，并且对由风险规避制造商与风险追逐零售商所组成的供应链协调效果最为显著。     

高校工会为非编制人员维权服务的现状与策略创新研究 ——以S省高校为例

维护职工合法权益是工会的基本职责。近年来高校工会工作对象从编制内人员扩展到非编制人员,维权服务工作面临着新的问题和挑战。基于S省高校的抽样调查数据与深度访谈资料显示,各高校在签订劳动合同、缴纳社会保险等方面都能按照要求规范进行,能按时足额发放薪酬,有相应的制度和管理规范,非编制人员的基本权益得到了保障。各高校工会组织积极履职,提高非编制人员的组织化程度和维权意识,帮助他们反映合理诉求,维护和保障非编制人员的合法权益,保证了职工队伍的稳定和谐。但也存在着工会维权职能发挥不充分,法治方式运用不足;工会制度不到位,维权机制不健全;工会主动作为不够,作用发挥不充分等问题。因此,创新高校工会非编制人员维权工作,必须加强法治思维,树立依法维权的理念;加强制度建设,完善工会维权机制;加强人文关怀,发挥工会桥梁和纽带作用。     

当代大学生社会主义制度认同与制度自信?

制度认同在社会政治生活中占有十分重要的地位,它可以坚定人们的社会主义价值理念,唤起人们积极的制度化参与,增强人们对制度的自信心,进而增强全社会的向心力和凝聚力,巩固党执政的社会基础。制度认同与制度自信互为条件,互相促进,相辅相成。当前大学生制度认同存在问题,主要体现为对分配制度的公正性和对政治制度的规范性缺乏认同。培养大学生的制度认同与制度自信,要不断推进社会主义制度的改革和完善,要加强社会主义文化建设,要切实提高大学生马克思主义理论素养。这对于保证国家长远持续稳定发展,构建社会主义和谐社会,具有重大和深远的现实意义。     

陆梁油田薄层底水油藏水平井井筒模拟研究

新疆陆梁油田呼图壁河组油藏发育一类特殊的薄层底水型油藏，其特点是油层厚度薄，构造幅度低，底水能量大，利用水平井开采，表现出无水采油期短、含水率上升速度快、产量递减大的特点。针对这些问题，采用水平井数值模拟方法，建立了考虑摩擦压力损失的水平井井筒模型，明确了摩擦压力损失对水平井的压力分布以及水平段产量的影响，在此基础上，分析研究了水平井底水锥进的水脊特征，判断了水平井出水位置，提出了封堵出水井段并结合油藏工程方法确定了水平井合理产液量，从而达到抑制底水快速锥进，减小压力损失，降低含水率上升速度的目的。