地方高校专业课程思政建设存在的问题及应对策略研究

课程思政是高校以习近平新时代中国特色社会主义思想为指导,落实立德树人的根本举措.近年来,高等教育向普及化迈进,诸多问题也随之而来.课题组对吉林省地方高校进行调研,结合调研数据分析高校的专业课程思政制度建设、教师对课程思政的认识与教学能力、学生对课程思政的认同度与学习兴趣,探究高校专业课程思政建设存在的问题,并提出相应的解决策略,期望能给地方高校的专业课与思政课同向同行以启示和借鉴.     

农业数字经济财政投入效率的门限效应

如何提高政府投入效率促进农业数字经济高效发展成为一个重要命题.理论上,政府投入农业数字要素极大地促进农业发展,但财政投入过度也会造成效率下降.基于独特的县域农业数字化程度、农业农村信息化财政支出、农业总产值等数据,采用门限回归模型验证上述假设.结果表明:农业数字经济发展中政府投入效率存在最优区间;就全国整体而言,在农业数字化发展程度介于25.5％～34.7％时,财政投入效率最高,达到每万元财政投入带动农业总产值增加154.2万元;目前约7％的县财政支出处于合理水平,约63％的县财政投入不足,剩余30％的县财政支出过度.为此,建议投入不足或过度的县要调整财政支出额,实现合理的农业数字经济规模,提高财政投入效率,引导社会资本投入农业数字经济建设,优化政府资本和社会资本的合理配置;同时,对投入合理的县,要进一步调整政府投资结构,加大大数据等无形资产投入,提升农业数字要素的杠杆能力.     

林业结构改革的日本实践:背景、措施与启示

集体林业产权制度改革是奠定我国集体林业市场经济体制的基础性工作,是促进我国集体林业生产经营可持续发展的制度性保障.已有的研究主要着眼于集体林改的规范性的理论研究和实证性实践研究,与国外的相关比较研究鲜见.我国集体林业所有制和日本民有林的性质极为相近,且均为小规模经营,具有较强的可借鉴性.日本推进林业结构改革政策是在林业与其它行业收入差距不断扩大,山村人口急剧流出,低价进口材打压日本国产材,林业生产经营环境不断恶化的背景下展开的.自1964年《林业基本法》实施以来,日本展开林业结构改革,先后采用完善立法、体制、机制和政策,严格制定计划和标准,构建融资平台,采取差异性措施等手段,奠定了日本林业现代化的基础.借鉴日本经验,我国集体林权制度改革应该立足国情,加强理论研究,完善和健全法律法规,把握林业生产经营特点,注重林改"硬件"和"软件"改革同时并进,加强林改工作的计划性和科学性,明确实施主体的差异性,构建系统的管理协调机制等.     

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     

一笔循环金圆了姐妹们的创业梦

Shuangjiang County(in Lincang City),situated in the mountainous areas of Southwest China's Yunnan Province,is inhabited by the Lahu,Wa,Bulang and Dai minority groups.In the past,the county's economic development was negatively affected by its poor transportation infrastructure.With funding provided by Beijing Lenovo Holdings Charity Foundation,the China Women's Development Foundation(CWDF)in 2018 initiated the project of Raise Her Business Plan-Revolving Fund for Mothers'New Ventures,in Shuangjiang.Under the project,local impoverished women receive small Ioans to start businesses.     

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.     

知识分布、衰减程度与产业集群创新模式的内在机制研究

以知识流动为研究视角，将集群创新过程中的知识溢出、吸收能力内生化，构建包含三种创新模式下的产业集群演化模型，重点分析集群知识分布和知识衰减程度与集群创新模式的内在机制及其对创新产出的影响，并进行仿真实验。研究表明：不同知识分布下，混合创新模式的创新产出表现最好，外部吸收创新模式与内部自主创新模式呈现出不同的创新产出演化路径；在外部吸收创新和混合创新模式下，均匀分布型产业集群的创新产出表现最好，集中分布型表现次之，异质分布型表现最差，而在内部自主创新模式下，集中分布型则表现最好；不同创新模式对知识衰减的敏感程度呈现阶段性差异特征。这些结论对产业集群创新和可持续发展具有很好的理论和实践指导意义。     

网络环境下的消费者态度转变——基于在线口碑信息框架交互作用的实验研究

关于在线口碑的影响问题,以往研究者已从不同的角度给出不同的解释.但是,他们的研究结论并不一致且忽视两个问题:消费者接收在线口碑之前的初始态度会影响对信息的过滤;产品销量并不等价于消费者态度.本研究尝试从态度改变的角度研究在线口碑如何影响消费者决策这一问题,考虑初始态度和认知需求的调节作用,将产品属性作为实验控制变量,归纳不同类型消费者的有效在线口碑信息框架类型.最后,提出一个消费者分类及其信息传播策略矩阵,为企业销售方的信息传播管理提供参考.主要结论有:自我强化型应定期进行正面要点信息沟通;理性说服型可进行正面要点信息改变初始期望,同时控制负面信息的扩散;摇摆不定型可根据产品属性采用不同的信息表述方式;消极排斥型应选择减少投入.