基于GERT网络的产学研知识流动效应度量

产学研合作中的知识流动效应度量一直是一个难题,本文以GERT网络与协同学为理论基础,寻求知识流动效应度量的方法。为此,根据知识流动特性,利用GERT网络中的实现概率及矩母函数参量来解析知识流动效应。为了得到矩母函数的分布类型,利用协同学,分析了影响产学研合作的内外因素,建立起随时间变化的知识流动方程,并以此方程作为矩母函数。同时,以大型飞机起落架系统研制为案例,利用专家调查法获取初始数据,并运用前述方法进行知识流动效应分析。通过GERT网络模型对知识流动进行测度,提供了产学研项目研制过程中知识增值大小、流动的顺畅性等重要信息,以此帮助决策者为保证研制项目的按时按质完成采取积极对应措施。     

区域性物流园区竞合策略的演化博弈分析

针对我国物流园区发展现状,探讨了区域性物流园区之间的竞合策略。建立了区域性物流园区竞合策略的演化博弈模型,据此分析了物流园区间竞争合作关系演变发展的趋势。研究表明,区域性物流园区之间长期竞争合作演化的结果是完全竞争或完全合作;在一定条件下,物流园区竞合策略选择的动态演化过程收敛于哪一个均衡点受到博弈发生的初始状态的影响,演化的路径和最终状态与转化能力、风险水平以及资源水平密切相关。     

Effects of Dimers on Cooperation in the Spatial Prisoner's Dilemma Game

We investigate the evolutionary prisoner's dilemma game in structured populations by introducing dimers, which are defined as that two players in each dimer always hold a same strategy. We find that influences of dimers on cooperation depend on the type of dimers and the population structure. For those dimers in which players interact with each other, the cooperation level increases with the number of dimers though the cooperation improvement level
depends on the type of network structures. On the other hand, the dimers, in which there are not mutual interactions, will not do any good to the cooperation level in a single community, but interestingly, will improve the cooperation level in a population with two communities. We explore the relationship between dimers and self-interactions and find that the effects of dimers are similar to that of self-interactions. Also, we find that the dimers, which are established over two communities in a multi-community network, act as one type of interaction through which information between communities is communicated by the requirement that two players in a dimer hold a same strategy.     

染料敏化的TiO2纳米管薄膜的光电浸润性

采用阳极氧化法在钛箔表面制备TiO2纳米管阵列, 并在其表面修饰N3染料(Ruthenium dye)作敏化剂, 用氟硅烷来提高表面疏水性, 获得超疏水薄膜. SEM测定结果表明, 纳米管薄膜具有各向异性浸润结构, 同时阳极氧化的非均匀性增加了表面的粗糙度. UV-Vis吸收光谱及电化学阻抗谱结果表明, 薄膜具有优异的光电性能. 通过施加超过一定阈值的电压, 液滴在薄膜表面由超疏水状态转变为亲水状态. 利用光电协同激励作用时, 阈值电压比单独使用电激励时降低了10 V, 这是使用高效的N3染料光电敏化层的结果.     

一种基于动态模糊Kohonen网络的聚类模型及应用

提出一种基于动态模糊Kohonen神经网络聚类模型,针对传统的Kohonen神经网络(KNN)聚类需要预先确定聚类数的问题,提出采用树形动态自组织映射网络算法(TGSOM)来确定聚类数,并且利用模糊Kohonen神经网络(FKNN)聚类结果与输入顺序无关的优势进行网络优化,得到更优的聚类结果。该模     

Cooperation influenced by the correlation degree of two-layered complex networks in evolutionary prisoner’s dilemma games

An evolutionary prisoner's dilemma game is investigated on two-layered complex networks respectively representing interaction and learning networks in one and two dimensions. A parameter q is introduced to denote the correlation degree between the two-layered networks. Using Monte Carlo simulations we studied the effects of the correlation degree on cooperative behaviour and found that the cooperator density nontrivially changes with q for different payoff parameter values depending on the detailed strategy updating and network dimension. An explanation for the obtained results is provided.     

媒体融合背景下学术期刊与数据库平台利益分配机制研究

科学合理的利益分配机制对企业发展至关重要。为了优化企业间的利益分配机制,论文以学术期刊与数据库平台为例,基于成本效用理论,运1用制度工程学方法,对学术期刊与数据库平台之间的利益分配机制进行研究。研究表明,当前国内实施的销售融合下的利益分配机制效率偏低,实施资本融合,按照贡献大小合理分配利益不仅能够增加期刊和数据库平台的收益,还能提高产业整体效益,从而实现帕累托改进。为产业链内部利益关联企业之间设计合理、可持续的利益分配机制提供了决策参考。     

供应链合作伙伴选择的信号传递博弈模型研究

为解决供应链合作伙伴选择过程中存在的逆向选择问题,提出了一个信号传递博弈模型.分析了模型中可能存在的一些完美贝叶斯均衡,从传递代理人真实信息与社会最优角度对均衡进行了选择,在此基础上提出了促成希望的均衡出现的几条措施.     

A Multiple Salient Features-Based User Identification across Social Media

Identifying users across social media has practical applications in many research areas, such as user behavior prediction, commercial recommendation systems, and information retrieval. In this paper, we propose a multiple salient features-based user identification across social media (MSF-UI), which extracts and fuses the rich redundant features contained in user display name, network topology, and published content. According to the differences between users’ different features, a multi-module calculation method is used to obtain the similarity between various redundant features. Finally, the bidirectional stable marriage matching algorithm is used for user identification across social media. Experimental results show that: (1) Compared with single-attribute features, the multi-dimensional information generated by users is integrated to optimize the universality of user identification; (2) Compared with baseline methods such as ranking-based cross-matching (RCM) and random forest confirmation algorithm based on stable marriage matching (RFCA-SMM), this method can effectively improve precision rate, recall rate, and comprehensive evaluation index (F1).     

SimLabel: a graphical user interface to simulate continuous wave EPR spectra from site‐directed spin labeling experiments

Site‐directed spin labeling (SDSL) combined with continuous wave electron paramagnetic resonance (cw EPR) spectroscopy is a powerful technique to reveal, at the residue level, structural transitions in proteins. SDSL‐EPR is based on the selective grafting of a paramagnetic label on the protein under study, followed by cw EPR analysis. To extract valuable quantitative information from SDSL‐EPR spectra and thus give reliable interpretation on biological system dynamics, numerical simulations of the spectra are required. Such spectral simulations can be carried out by coding in MATLAB using functions from the EasySpin toolbox. For non‐expert users of MATLAB, this could be a complex task or even impede the use of such simulation tool. We developed a graphical user interface called SimLabel dedicated to run cw EPR spectra simulations particularly coming from SDSL‐EPR experiments. Simlabel provides an intuitive way to visualize, simulate, and fit such cw EPR spectra. An example of SDSL‐EPR spectra simulation concerning the study of an intrinsically disordered region undergoing a local induced folding is described and discussed. We believe that this new tool will help the users to rapidly obtain reliable simulated spectra and hence facilitate the interpretation of their results. Copyright © 2017 John Wiley & Sons, Ltd.