网络自组织对青年改革共识化形成的影响及路径探析

随着网络的发展,为青年网络自组织的形成创造了条件。网络自组织作为非正式组织,具有自主性、灵活性、社交性、虚拟性和传播性的特性。青年的自我认同、多元化需求和公民意识成为青年改革共识化形成的动力因素,而同伴的负面影响、缺乏约束力、亚文化形成、社会思潮冲击则成为阻力因素。在此基础上得出青年改革共识化的路径是培养网络公民意识、建立健全社会监督体系、加强共青团的整合力、培育网络舆论领袖。

共识化与共情化:“你知道”类格式在故事讲述中的认识调节

在故事讲述中,讲述者使用“你知道”类格式进行认识调节,在故事讲述的不同阶段,功能不同。在讲述开端时,通过共识化引入和构建共同话题;故事进展中,在交代重要的背景信息、讲述极端细节信息和虚拟问答时使用“你知道”类格式,实现共识化和共情化;而在讲述高潮时,使用“你知道”类格式用于总结性结论的共情化与特别感受的共情化,发出共情邀请,要求共情回应。无论共识化还是共情化,都是讲述者有意的话语设计。

语气词“嘛”背景信息共识化功能初探

本文以口语中小句末尾的语气词"嘛"为研究对象,分析"嘛"所在小句与情景结构之间的关系。文章指出,小句末尾的"嘛"具有标识事件线索、设置情景、降低权重三种功能,"嘛"对于话语前景、后景配置结构产生影响,是将信息背景化的一种手段。在互动层面,"嘛"具有将背景信息共识化的功能,即为听话人提供背景性新信息,并强行共识给对方。

碎片化的共识与合作治理重构

通过平等主体之间的自由发言和批判讨论来建构共识的社会治理图景是人类孜孜以求的理想。然迄今为止,工业社会以来的所有治理图式所建构的共识都无不显现出一种碎片化的形态。究其原因,从根本上说是一种基于分割和计算的工具理性在作崇。因此,建构总体性的共识必须突破工具理性的拘囿,从合作治理理论来寻求启发。

Single-trial EEG-based emotion recognition using temporally regularized common spatial pattern

This study addresses the problem of classifying emotional words based on recorded electroencephalogram （EEG） signals by the single-trial EEG classification technique. Emotional two-character Chinese words are used as experimental materials. Positive words versus neutral words and negative words versus neutral words are classified, respectively, using the induced EEG signals. The method of temporally regularized common spatial patterns （TRCSP） is chosen to extract features from the EEG trials, and then single-trial EEG classification is achieved by linear discriminant analysis. Classification accuracies are between 55% and 65%. The statistical significance of the classification accuracies is confirmed by permutation tests, which shows the successful identification of emotional words and neutral ones, and also the ability to identify emotional words. In addition, 10 out of 15 subjects obtain significant classification accuracy for negative words versus neutral words while only 4 are significant for positive words versus neutral words, which demonstrate that negative emotions are more easily identified.

Electromagnetic Model and Image Reconstruction Algorithms Based on EIT System

An intuitive 2D model of circular electrical impedance tomography （EIT） sensor with small size electrodes is established based on the theory of analytic functions. The validation of the model is proved using the result from the solution of Laplace equation. Suggestions on to electrode optimization and explanation to the ill-condition property of the sensitivity matrix are provided based on the model, which takes electrode distance into account and can be generalized to the sensor with any simple connected region through a conformal transformation. Image reconstruction algorithms based on the model are implemented to show feasibility of the model using experimental data collected from the EIT system developed in Tianjin University. In the simulation with a human chestlike configuration, electrical conductivity distributions are reconstructed using equi-potential backprojection （EBP） and Tikhonov regularization （TR） based on a conformal transformation of the model. The algorithms based on the model are suitable for online image reconstruction and the reconstructed results are aood both in size and position.

Parallel solving model for quantified boolean formula based on machine learning

A new parallel architecture for quantified boolean formula(QBF)solving was proposed,and the prediction model based on machine learning technology was proposed for how sharing knowledge affects the solving performance in QBF parallel solving system,and the experimental evaluation scheme was also designed.It shows that the characterization factor of clause and cube influence the solving performance markedly in our experiment.At the same time,the heuristic machine learning algorithm was applied,support vector machine was chosen to predict the performance of QBF parallel solving system based on clause sharing and cube sharing.The relative error of accuracy for prediction can be controlled in a reasonable range of 20%30%.The results show the important and complex role that knowledge sharing plays in any modern parallel solver.It shows that the parallel solver with machine learning reduces the quantity of knowledge sharing about 30%and saving computational resource but does not reduce the performance of solving system.

Cultural deficiencies in ＂second-hand reading＂ of the classics and the reconstruction of the public intellectual sphere

With respect to the practice, now popular in the mass media, of substituting a few scholars＇ individual text readings for widespread reading by the general public, a practice spearheaded by the CCTV program ＂Lecture Room,＂ we have in this essay come up with the term ＂second-hand reading of the classics＂ as a core concept characterizing this phenomenon. The cultural deficiencies symbolized by such ＂second-hand reading＂ t＇md their expression in three phenomena： first, the audience, eager to become culturally enlightened, find themselves in the passive role of mere receivers of scholars＇ interpretations of the classics, lacking the role of autonomous readers. Second, the media, motivated by commercial aims, opt for an inappropriate cultural strategy and over-reach their proper role. Third, scholars, taking their orientation from the powerful mass media and following the commercial logic that ＂the audience is king,＂ settle for a misplaced role and degenerate from being ＂guides to the best in culture＂ into merely catering to mass taste. To redress such a situation, our strategy should be to coordinate the universities, public libraries, the media and other public resources in a concerted effort to switch from ＂second-hand reading＂ led by the media to self-initiated ＂autonomous reading,＂ so as to rebuild a public intellectual sphere.

The World Implications of the ＂Chinese Road＂ in the Context of Globalization

China＇s immense achievements over the sixty years since the founding of New China, especially in the last thirty years since the institution of reform and opening up, have inspired heated debate on whether there exists a ＂Chinese model of development＂ or a ＂Beijing consensus.＂ The term ＂model＂ has two layers of meaning： one refers to the uniqueness of China＇s development road, the other to its exportability and imitability. In terms of the former, China has indeed created a unique developmental model. China＇s development path was arrived at when the Chinese people finally chose Marxism in the course of their pursuit of national independence and modernization. Its essential character is the choice to follow the socialist road and reject capitalist expansion and enslavement. Globalization follows the unbounded aggrandizement of capital, which brings world politics and economy under the domination of world capitalism. It is against such a background that the uniqueness of the Chinese road of development stands out. At the same time China has no intention of exporting its own model of development. Rather, China＇s pursuit of harmony, equality and diversity among nations will allow the success of the Chinese road to change current international rules and concepts of global development. In this era of globalization, the Chinese road is of world significance.