论"规矩"与"方圆"语境下干部践行荣辱观的文化自觉

在全社会树立社会主义荣辱观，重点和关键在于干部。广大干部要从传统与现代、整体与个人、大是与小非、内质与外化等关系层面的理解上，形成自觉践行荣辱观的文化自觉；要以“规矩”与“方圆”的逻辑理念构建干部新形象，即努力铸造一种内在的恪守原则性、纪律性的“内方”形象，外在的体现和谐性、团结性的“外圆”形象，以及整体优化的原则性、和谐性兼备的“方圆统一”的道德人格喻义形象。     

重视师生沟通优化班级管理

进行师生沟通，优化班级管理有四个要点，一是接近学生，熟悉学生；二是捕捉学生的闪光点，赞扬学生；三是形成健康的集体舆论；四是关心学生生活，参与学生的课外活动。     

关于任期责任审计的几个问题

从经济责任审计内容的特殊性,程序与方法的不同性等几个方面论述经济责任审计在干部管理监督中的作用。     

Phase transitions and hysteresis in a cellular automata-based model of opinion formation

A particular case of a cellular automata-based model of two-state opinion formation in social groups with a strong leader is studied. We consider a 2D Euclidian geometry of social space and mutual interactions 1/r ⁿ . The model shows an interesting dynamics which can be analytically calculated. There are two stable states of the system: a cluster around the leader and unification. Unstable clusters may also appear. A variation in parameters such as the leader's strength or the social temperature can change the size of a cluster or, when they reach some critical values, make the system jump into another state. For a certain range of parameters the system exhibits bistability and hysteresis phenomena. We obtained explicit formulas for the cluster size, critical leader's strength, and critical social temperature. These analytical results are verified by computer simulations.     

为构建“和谐河北“营造和谐的舆论环境——新形势下新闻宣传深层思考

构建“和谐河北”是中央提出的构建社会主义和谐社会在我省的具体实践,加强对构建“和谐河北”舆论宣传的调查、理论研究,已成为河北省新闻宣传界重大的理论与实践课题。为构建“和谐河北”营造和谐的舆论环境,河北省新闻宣传工作的重点应放在以下四个方面:坚持以正确的舆论引导人,坚定把握宣传基调不动摇;提升舆论引导水平,理性探求和谐社会矛盾的化解思路;增强舆论影响能力,形成构建“和谐河北”的舆论强势;清醒把握舆论导向,消除宣传报道中的不和谐音符等。     

工作团队与权力

阐述了工作团队与权力的基本概念,分析了现代学习型组织的工作团队中纵向与横向权力的来源及其与传统组织的区别,为团队领导者增强自身领导能力提供思路。     

期权费用化小议

股票期权制度成为安然事件后会计界备受关注的一个新兴领域，本文通过对美国股票期权会计理论发展的分析．对我国股票期权制度在现阶段的实施提出了一些建议。     

Robustness Evaluation of the Open Source Product Community Network Considering Different Influential Nodes

With the rapid development of Internet technology, the innovative value and importance of the open source product community (OSPC) is becoming increasingly significant. Ensuring high robustness is essential to the stable development of OSPC with open characteristics. In robustness analysis, degree and betweenness are traditionally used to evaluate the importance of nodes. However, these two indexes are disabled to comprehensively evaluate the influential nodes in the community network. Furthermore, influential users have many followers. The effect of irrational following behavior on network robustness is also worth investigating. To solve these problems, we built a typical OSPC network using a complex network modeling method, analyzed its structural characteristics and proposed an improved method to identify influential nodes by integrating the network topology characteristics indexes. We then proposed a model containing a variety of relevant node loss strategies to simulate the changes in robustness of the OSPC network. The results showed that the proposed method can better distinguish the influential nodes in the network. Furthermore, the network’s robustness will be greatly damaged under the node loss strategies considering the influential node loss (i.e., structural hole node loss and opinion leader node loss), and the following effect can greatly change the network robustness. The results verified the feasibility and effectiveness of the proposed robustness analysis model and indexes.     

Opinion Polarization in Human Communities Can Emerge as a Natural Consequence of Beliefs Being Interrelated

The emergence of opinion polarization within human communities—the phenomenon that individuals within a society tend to develop conflicting attitudes related to the greatest diversity of topics—has been a focus of interest for decades, both from theoretical and modelling points of view. Regarding modelling attempts, an entire scientific field—opinion dynamics—has emerged in order to study this and related phenomena. Within this framework, agents’ opinions are usually represented by a scalar value which undergoes modification due to interaction with other agents. Under certain conditions, these models are able to reproduce polarization—a state increasingly familiar to our everyday experience. In the present paper, an alternative explanation is suggested along with its corresponding model. More specifically, we demonstrate that by incorporating the following two well-known human characteristics into the representation of agents: (1) in the human brain beliefs are interconnected, and (2) people strive to maintain a coherent belief system; polarization immediately occurs under exposure to news and information. Furthermore, the model accounts for the proliferation of fake news, and shows how opinion polarization is related to various cognitive biases.     

Consensus,Polarization and Hysteresis in the Three-State Noisy q-Voter Model with Bounded Confidence

In this work, we address the question of the role of the influence of group size on the emergence of various collective social phenomena, such as consensus, polarization and social hysteresis. To answer this question, we study the three-state noisy q-voter model with bounded confidence, in which agents can be in one of three states: two extremes (leftist and rightist) and centrist. We study the model on a complete graph within the mean-field approach and show that, depending on the size q of the influence group, saddle-node bifurcation cascades of different length appear and different collective phenomena are possible. In particular, for all values of q>1, social hysteresis is observed. Furthermore, for small values of q∈(1,4), disagreement, polarization and domination of centrists (a consensus understood as the general agreement, not unanimity) can be achieved but not the domination of extremists. The latter is possible only for larger groups of influence. Finally, by comparing our model to others, we discuss how a small change in the rules at the microscopic level can dramatically change the macroscopic behavior of the model.