公众食品药品网络谣言和虚假宣传辨识能力调查——以贵州省某少数民族自治地区为例

目的 了解公众对网络食品药品谣言信息及虚假宣传甄别能力和行为态度，探索防范谣言传播、维护社会稳定的有效措施和途径。方法 采用随机抽样研究方法，对贵州省某少数民族自治州公众开展食品药品网络谣言及虚假宣传辨识能力、行为态度问卷调查。结果 当地公众食品药品网络谣言及虚假宣传辨识能力总体较低，经济发展落后地区的青少年人群对网络谣言及虚假宣传的辨识能力较弱。大部分公众处理网络食品药品安全信息较为理性，更愿意通过国家监管部门权威网站了解信息，基本具备了确认信息真实性的主观意识，但辟除谣言的行动能力不高。结论 地方党委政府及有关部门应加强食品药品网络谣言和虚假宣传治理，加大当地谣言及虚假宣传的监测和系统性分析研究，有针对性、预判性地进行治理和科普宣传。     

认真的创作,真诚的评论--我的广义建筑创作观

该文就建立“为人、求精、创新、动人”的广义建筑创作观，指出了在设计工作中，应当重视“合理、合情、合法”的创作原则，并在一系列亲身实践中一一印证。最后，笔者指出，我们在展开建筑评论时应该采取严肃、严格、宽容的态度     

地域性与人文观--厦门市海沧新阳中学设计

介绍了厦门市沧新阳中学工程设计，将适宜地域气候特征之元素触入现代校园之中，营造富有文化氛围的生态校园。并根据现代数学模式及学生心理特点，在场所精神的营造、功能空间的塑造上都进行了深入思考和细节设计，从而体现人文观。     

雷击风机叶片的跃变击距特性与定量表征

风机叶片对雷电的接闪是风机防雷研究中的关键内容,合理分析接闪时的击距特性意义重大。基于雷击过程的物理机制,将雷击发生时上、下行先导头部间的距离定义为跃变击距,并分析了多上行先导竞争对风机接闪和跃变击距的影响。基于先导起始和发展理论,根据下行先导的等效模型和稳定上行先导的判定方法建立了风机叶片接闪模型,利用该模型得到了随雷电流幅值变化的跃变击距公式,指出侧面距离等参数对跃变击距没有影响,实验和观测结果证明了模型的正确性。最后利用接闪模型提出了考虑稳定上行先导对周围电场畸变作用的对地击距公式,与其他学者计算的结果进行对比指出,现有对地击距公式或不适用于风机背景的防雷计算。     

An objective and interactive-information-based feedback mechanism for the consensus-reaching process considering a non-support degree for minority opinions

The consensus-reaching process (CRP) to achieve higher unanimity and ensure common agreement before deriving a final decision has become an important procedure in group decision-making problems. The demand for high-quality decision results has motivated the development of large-scale group decision-making (LGDM). In such cases, the issue of minority opinion has gained awareness due to the related effects on enhancing consensus and decision quality. A minority opinion cannot exert an effect unless the majority attach importance to whether that opinion is supported or not. To reflect the effect of minority opinions on consensus, this paper establishes a LGDM framework with an objective and interactive-information-based feedback mechanism for the CRP. Given the natural forms of human expression, multi-granular linguistic information and a 2-tuple linguistic model are used. First, initial weights are objectively assigned to decision-makers (DMs) to weaken the impact of the majority. Subsequently, a non-support degree function is newly defined to reflect the extent to which other DMs dissent from a minority opinion. More importantly, feedback rules are constructed to make corresponding adjustments to the powers of discourse among all DMs in the attempt to reach consensus. Finally, the proposed three-phase LGDM framework is applied to new product development (NPD), and simulation experiments are conducted based on two algorithms to verify the framework's applicability and feasibility.     

Partial aggregation of users for biometric scores normalization

In this paper, we analyze a new method to deal with users' biometric data, by incorporating them in an incomplete aggregation framework, to make an optimal decision for the normalization process. This latter invokes the experts' opinions concept, where the opinions are represented by the user-specific scores. This aggregation of opinions needs more experts for a trusted and informative partial consensus. The key idea of this new approach is based upon the employment of a convex mixture of users' score dispersion. This procedure is used to revise the users' scores, then to update specific statistical parameters which are the principal elements of our score normalization formula. Applying this concept to various scenarios gives an interesting outcome compared to other alternatives. The main contribution of this work for aggregation framework on native space is to introduce this new user-specific concept of scores' normalization, followed by a thorough evaluation of the performance. The validation of this approach is ensured by using a unique modality followed by the exploitation of the fusion of different modalities, to achieve a viable reliability of the final decision. The benchmarking was conducted under Nist2005, Biosecure DS2, and XM2VTS score databases.     

PUBLIC OPINION,TRADITION, AND INFORMATION HALF-LIFE†

The information needs of a complex society are not met by an information-flow technology invented and developed in traditional societies. This article provides a theoretical framework derived from modern systems theory by which to understand the technology of public opinion policy formation in guidance operations of a complex society. Qualitative models of information flow systems are presented together with a discussion of the kind of society each information flow technology produces. Three are considered: tradition-based information-flow societies, managed information-flow societies (Utopian and elitist), and cybernetic issue-based information-flow societies.     

How much carbon offsetting and where? Implications of efficiency,effectiveness, and ethicality considerations for public opinion formation

A fundamental policy design choice in government-led climate change mitigation is: what role should flexibility mechanisms like carbon offsetting play in reducing greenhouse gas (GHG) emissions. Since public opinion affects the policy choices of government, we investigate how arguments regarding carbon offsetting's economic efficiency, effectiveness, and ethicality, which have been key points in the public debate, impact the public's preferences. We fielded an online framing experiment in the United States (N=995) to empirically identify how arguments for and against carbon offsetting influence public preferences for the inclusion of offsetting in national GHG mitigation policy. We find that the public's support for international offsetting increases and support for reductions at their source (i.e. within firms' own operations) diminishes when considerations of economic efficiency gains are at the forefront. Support for offsetting declines when individuals are confronted with arguments concerning its effectiveness and ethicality, which suggests that future policies will require clear standards of additionality in order to address these concerns. Moreover, we find that how carbon offsetting is framed matters even amongst climate skeptics and support could potentially be enhanced via improved communication on efficiency gains.     

民生新闻在构建和谐社会中的作用

民生新闻是近年出现的一种本土化的新闻模式,它以其关怀民生的情怀、深刻独到的见解越来越受到广大受众的拥护和记者的青睐。民生新闻的宗旨是关注民生,为民服务,这种关注不是无目的的、无章法的,而是要通过对民生问题的关注和反映,达到建设和谐社会的最终目的。这方面民生新闻大有作为。     

非常规突发事件网络舆情热度评价体系构建——基于BP神经网络算法

Because unexpected emergency owns the characteristics of explosive, uncertain evolution direction and group diffusion, more and more researchers concentrate on and try to control it. In addition, considering the force of network, the information of the unexpected emergency will be spread and enlarged rapidly on internet. It is a new viewpoint using the indicator system to estimate the heat degree of net-mediated public opinion on unexpected emergency, which can reveal the underlying reasons about the formation of the heat degree. Moreover, we use BP (Back Propagation) neural network method instead of traditional subjective weight assignment to calculate the weights of the indicators which can make evaluation results more accurate and objective.