二元学习与创新绩效的作用机制——组织内部协作网络的调节作用

组织学习是驱动企业创新、实现技术追赶与超越追赶的关键因素,如何合理组织企业的利用式和探索式学习是企业构建研发体系的关键问题。学界对二元学习是否有利于企业的创新绩效存在截然不同的观点。同时,组织内部的情境因素是影响组织二元学习和创新绩效关系的最根本因素,组织内部研发协作网络是二元学习的重要载体。基于美国半导体行业企业十年间的专利数据,实证研究发现,不同维度的二元学习对企业创新绩效具有不同的影响,联合二元学习能够积极影响企业的创新绩效,平衡二元学习则会降低企业的创新绩效;内部研发协作网络密度在二元学习和创新绩效的关系中具有显著的调节作用,企业的内部协作网络密度越高,联合二元学习对企业创新绩效的积极影响越弱,平衡二元学习对创新绩效的负影响则加剧。     

近一百年来现代化进程中的中国乡村—兼论乡村振兴战略中的“乡村”

建设什么样的乡村、怎么建设乡村,是近代以来中华民族面对的一个历史性课题。 在近百年中国现代化进程中,乡村不断衰败凋敝,这跟近百年来我国所选取的经济发展道路不无关系,更与人们对于“乡村冶和“乡村发展冶的认识紧密相关。 在相当长的一个历史时期内,人们简单地将“乡村冶与“农业冶、“乡村发展冶与“农业发展冶相提并论。 如果不能将乡村视为一个社会的概念,并着力乡村社会建设,即便在经济发展上用尽全力,也将事倍功半。     

推动上海社会高质量发展的成效、难点和举措

上海在加快城市功能转型、实现经济高质量发展的同时,更要把"扎实推动社会高质量发展"作为社会建设的总体目标,深入践行"人民城市人民建,人民城市为人民"的重要理念,始终坚持发展为了人民、发展依靠人民、发展成果由人民共享,高质量建成"幼有善育、学有优教、劳有厚得、病有良医、老有颐养、住有宜居、弱有众扶"的社会主义现代化国际大都市.     

Three‐Stage Decision‐Making Model under Restricted Conditions for Emergency Response to Ships Not under Control

A ship that is not under control (NUC) is a typical incident that poses serious problems when in confined waters close to shore. The emergency response to NUC ships is to select the best risk control options, which is a challenge in restricted conditions (e.g., time limitation, resource constraint, and information asymmetry), particularly in inland waterway transportation. To enable a quick and effective response, this article develops a three‐stage decision‐making framework for NUC ship handling. The core of this method is (1) to propose feasible options for each involved entity (e.g., maritime safety administration, NUC ship, and ships passing by) under resource constraint in the first stage, (2) to select the most feasible options by comparing the similarity of the new case and existing cases in the second stage, and (3) to make decisions considering the cooperation between the involved organizations by using a developed Bayesian network in the third stage. Consequently, this work provides a useful tool to achieve well‐organized management of NUC ships.     

造假行为的传播与遏制——基于进化博弈模拟的研究

借鉴进化博弈的思想,一个新的模型建立起来用以模拟造假行为的传播过程,以期找到其广泛传播的路径,并寻找遏制的方法。模型赋予了个体学习的能力,结果显示惩罚程度对造假行为的传播没有影响,但抽查概率却是决定性的。为了提高查处的效率,"连带检查"机制被加入到模型中,即对造假者周围邻居进行检查并施以同样的惩罚。这种机制能够在抽取概率为26%时达到消除造假者的目的,相比之下,没有"连带检查"时必须把抽取概率提高到80%才能达到消除造假者的目的。     

Computation of an efficient and robust estimator in a semiparametric mixture model

In this article, we propose an efficient and robust estimation for the semiparametric mixture model that is a mixture of unknown location-shifted symmetric distributions. Our estimation is derived by minimizing the profile Hellinger distance (MPHD) between the model and a nonparametric density estimate. We propose a simple and efficient algorithm to find the proposed MPHD estimation. Monte Carlo simulation study is conducted to examine the finite sample performance of the proposed procedure and to compare it with other existing methods. Based on our empirical studies, the newly proposed procedure works very competitively compared to the existing methods for normal component cases and much better for non-normal component cases. More importantly, the proposed procedure is robust when the data are contaminated with outlying observations. A real data application is also provided to illustrate the proposed estimation procedure.     

浅谈洁净手术部在医院基建工程中的特殊需求

随着现代医学的发展,洁净手术部成为各手术学科建设与发展的重要前提与支柱,对原有手术室功能进行改造势在必行。为了实现医院洁净手术部向信息化、智能化、集约化发展,从洁净手术部的选址、功能等方面介绍了当前省内部分二级以上医疗单位洁净手术室建设的新进展,总结近年来在洁净手术室规划、建设过程中的经验,为现代医院基建工程管理提供借鉴,保障医院医疗、教学、科研工作的顺利开展。     

Quality self-control and co-supervision mechanism of construction agent in public investment project in China

Public investment project (PIP) plays an important role in the China economy. In order to improve the project management performance of public projects, the government is searching for a scientific system to build a construction management supervision mode. This paper introduces the policy background and connotation of Agent Construction System (ACS). As a public investment construction management model, ACS, is gradually being incorporated into the legal framework, it is necessary to improve the construction agent supervision mechanism. This article analyzes the supervision mechanism of construction agent quality management under the principle of two-stage agent mode and establishes an agent quality self-control system and a government co-supervision system. These systems take the contract management as the core and the project quality objective as the guidance. These systems also consist of a two-dimensional framework of vertical self-control and horizontal supervision, which form a quality supervision mechanism. Based on Rough Set theory, the article proposes the idea of building an agent quality self-control and government co-supervision model, and illustrates it with a flow chart for building the model, which paves the way of quantitative research for the future.     

Complete convergence and the strong laws of large numbers for pairwise NQD random variables

The authors study the strong convergence for sequences of pairwise negatively quadrant dependent (NQD) random variables under some wide conditions, and present some new theorems on the complete convergence and the strong laws of large numbers. The obtained results extend and improve some theorems in existing literature.     

Coordinate sampler: a non-reversible Gibbs-like MCMC sampler

We derive a novel non-reversible, continuous-time Markov chain Monte Carlo sampler, called Coordinate Sampler, based on a piecewise deterministic Markov process, which is a variant of the Zigzag sampler of Bierkens et al. (Ann Stat 47(3):1288–1320, 2019). In addition to providing a theoretical validation for this new simulation algorithm, we show that the Markov chain it induces exhibits geometrical ergodicity convergence, for distributions whose tails decay at least as fast as an exponential distribution and at most as fast as a Gaussian distribution. Several numerical examples highlight that our coordinate sampler is more efficient than the Zigzag sampler, in terms of effective sample size.