高等院校学科建设与科学研究协同发展关系研究

从高校科学研究和学科建设两项重要活动的内涵出发,分析两者之间存在的异同及复杂的协同关系。利用雪崩动力学的原理和方法建立了科学研究和学科建设之间的量化模型。研究表明,在科学研究与学科建设之间存在着雪崩累计效应,而且这种累积效应在不同学科之间具有较强的相似性。     

Neighbourhood social ties: how much do residential,physical and virtual mobility matter?

Following up on the prediction by classical sociological theorists that neighbours will become irrelevant as societies become more mobile, this research examines the strength of people's social ties with neighbours and the associations thereof with residential, physical and virtual mobility using longitudinal data for Germany. Unlike previous studies, the research considers the three forms of mobility simultaneously and contrasts its effects on social ties with neighbours to those with family. The results show that residential and physical mobility are negatively associated with social ties to neighbours and positively with ties to family. Virtual mobility does not weaken social ties with neighbours but ties with family. The positive association between mobility and social ties with family may not be strong enough to ascertain that people maintain as close social ties to others in the future as it does not outweigh the negative association with visiting neighbours.     

农村聋哑人进城乞讨现象及其社会救助路径探析——基于合肥市的调查研究

由于保障机制和社会支持网络的断裂,农村聋哑人为满足生活需求只得进城乞讨.在城乡二元体制下,农村聋哑人城市乞讨存在多重困境.对合肥市农村聋哑人城市乞讨现象的深入调查,得出如下结论:虽然农村聋哑人进城乞讨的影响因素具有多重性和复杂性,但通过加强家庭保障与政府保障、自我发展与文化关心、社会工作组织与政府救助机构的互动,能够富于成效地帮助农村聋哑人在多元主体互动与社会资源整合的基础上,获得有尊严的生活出路.     

生态文明建设中政府与环境NGO的协同关系

生态文明建设已经成为我党治国理政的核心理念,但“政府失灵”的现实表现,以及作为新生力量的环境NGO所凸显出的推动公众参与、反映公众利益、积极影响决策及创新环境管理等多方面的优势,使人们重新厘清政府与环境NGO各自的职责,进而达成两者之间主导和补充、合作和互助、平等和监督的协同关系,联同有效地作用于生态文明和美丽中国的建设。     

Wavelet Thresholding Estimation in a Poissonian Interactions Model with Application to Genomic Data

This paper deals with the study of dependencies between two given events modelled by point processes. In particular, we focus on the context of DNA to detect favoured or avoided distances between two given motifs along a genome suggesting possible interactions at a molecular level. For this, we naturally introduce a so‐called reproduction function h that allows to quantify the favoured positions of the motifs and that is considered as the intensity of a Poisson process. Our first interest is the estimation of this function h assumed to be well localized. The estimator based on random thresholds achieves an oracle inequality. Then, minimax properties of on Besov balls are established. Some simulations are provided, proving the good practical behaviour of our procedure. Finally, our method is applied to the analysis of the dependence between promoter sites and genes along the genome of the Escherichia coli bacterium.     

Independent Quadratic Forms in 3-Variance-Component Models

This article addresses derivation and existence of quadratic forms that were suggested by Burch (2007 Burch , B. D. ( 2007 ). Generalized confidence intervals for proportions of total variance in mixed linear models . J. Statist. Plann. Infer. 137 : 2394 – 2404 .[Crossref], [Web of Science ®] , [Google Scholar]) for procedures for inference on variance components in mixed linear models in combination with generalized fiducial inference. A relatively simple algorithm leading to the required quadratic forms in a general 3-variance-component model is stated and designs for two-way ANOVA models without interactions that permit Burch's procedure are characterized. This complements developments in the original article by Burch.     

Dynamic Procurement,Quantity Discounts,and Supply Chain Efficiency

We study a model with a single supplier and a single buyer who interact multiple times before the buyer sells her product in the end‐consumer market. We show that when the supplier uses a wholesale price contract, even under perfect foresight, the supplier, the buyer, and the end consumers benefit from multiple trading opportunities versus a one‐shot procurement agreement.     

The leadership of emergence: A complex systems leadership theory of emergence at successive organizational levels

Complexity science reframes leadership by focusing on the dynamic interactions between all individuals, explaining how those interactions can, under certain conditions, produce emergent outcomes. We develop a Leadership of Emergence using this approach, through an analysis of three empirical studies which document emergence in distinct contexts. Each of these studies identifies the same four “conditions” for emergence: the presence of a Dis-equilibrium state, Amplifying actions, Recombination/“Self-organization”, and Stabilizing feedback. From these studies we also show how these conditions can be generated through nine specific behaviors which leaders can enact, including: Disrupt existing patterns through embracing uncertainty and creating controversy, Encourage novelty by allowing experiments and supporting collective action, Provide sensemaking and sensegiving through the artful use of language and symbols, and Stabilize the system by Integrating local constraints. Finally, we suggest ways for advancing a meso-model of leadership, and show how our findings can improve complexity science applications in management.     

Estimating individual-level interaction effects in multilevel models: a Monte Carlo simulation study with application*

Moderated multiple regression provides a useful framework for understanding moderator variables. These variables can also be examined within multilevel datasets, although the literature is not clear on the best way to assess data for significant moderating effects, particularly within a multilevel modeling framework. This study explores potential ways to test moderation at the individual level (level one) within a 2-level multilevel modeling framework, with varying effect sizes, cluster sizes, and numbers of clusters. The study examines five potential methods for testing interaction effects: the Wald test, F-test, likelihood ratio test, Bayesian information criterion (BIC), and Akaike information criterion (AIC). For each method, the simulation study examines Type I error rates and power. Following the simulation study, an applied study uses real data to assess interaction effects using the same five methods. Results indicate that the Wald test, F-test, and likelihood ratio test all perform similarly in terms of Type I error rates and power. Type I error rates for the AIC are more liberal, and for the BIC typically more conservative. A four-step procedure for applied researchers interested in examining interaction effects in multi-level models is provided.