Résumé Vus de l’Ouest, les débats et événements politiques en Chine ne sont pas toujours faciles à déchiffrer. Au mois de mars 2012, la chute de Bo Xilai, le leader de la municipalité autonome de Chongqing (de près de 30 millions d’habitants), surprit moins que la découverte que Bo était le leader des « néomaoïstes » en Chine. En cet automne de l’année 2012, se tient le 18 e Congrès du Parti Communiste à Pékin. Même en interrogeant des gens bien (...) informés, au cours des derniers mois, il était presque impossible d’obtenir ne serait-ce qu’une vague intuition de ce qui pouvait résulter de la réunion. Cette interview doit être comprise comme une vaste fresque des principaux courants actuels qui sous-tendent les débats actuels en Chine. Le thème central est l’anticapitalisme, car, de manière assez surprenante, ce thème définit encore l’axe central autour duquel gravitent les controverses. (shrink)

Teacher beliefs are a pivotal psychological quality for sustainable teacher development. Previous studies have mainly focused on the beliefs of English-as-a-second/foreign-language teachers, while little attention has been paid to those of Chinese-as-an-additional-language teachers. Particularly, there is a paucity of effort made to develop and validate instrument for measuring pre-service CAL teacher beliefs. Therefore, to further quantify the beliefs of CAL teachers is increasingly called for as an essential means to help teachers sensitize their beliefs system and promote teacher development as (...) a sustainable goal. To be specific, the present study aims to construct a scale for gauging beliefs of pre-service CAL teachers. It firstly conceptualizes the dimensions of pre-service CAL teacher beliefs by means of semantic analysis with ROST CM6, and then cross-validates the reliability and validity of the scale with psychometric methods. Two independent samples composed of 221 and 222 pre-service CAL teachers participated in a questionnaire survey. The two samples were utilized for later Exploratory Factor Analysis and Confirmatory Factor Analysis, respectively. The two data sets have satisfactory psychometric results, all confirming that the scale subsumes three factors: Beliefs about Chinese Language Teaching, Beliefs about Chinese Language, and Beliefs about Chinese Language Learners. The scale validated in the present study contributes to research on pre-service CAL teacher beliefs, and provides implications for sustainable pre-service CAL teacher training. (shrink)

Hannah Arendt’s concept “the banality of evil” was subverted by Bettina Stangneth’s recent research. But with the concept of the banality of evil, the inherent continuity of her “radical evil,” Arendt enriched the discourse of evil which allows us to gain insight into the relationship between evil and ordinary human beings. At the same time, Arendt also raised the question about law, ethics and politics when evil was put to justice. In fact, what she cares about, is justice to everyone; (...) what she wants is to understand the evil and to make her own critical thinking about it. (shrink)

本书收录了具有京味文化色彩的商业谚语、格言和歇后语等100余条,体现当时北方和北京地区的时代特色、民族习惯、商业状况。.

Accurate short-term traffic flow modeling is an essential prerequisite to analyze and control traffic flow. Canonical data-driven methods are a large account of parameters that may be underfitted with limited training samples, yet they cannot adaptively boost their understanding of the spatiotemporal dependencies of the traffic flow. The noisy and unstable traffic flow data also prevent the models from effectively learning the underlying patterns for forecasting future traffic flow. To address these issues, we propose an easy-to-implement yet effective boosting model (...) based on extreme gradient boosting and enhance it by wavelet denoising for short-term traffic flow forecasting. The discrete wavelet denoising is employed to preprocess the noisy traffic flow data. Then, the denoised training datasets are reconstructed to train the extreme gradient boosting model. These two components are integrated seamlessly in a unified framework, and the whole framework can retain the features in the data as much as possible. Our model can precisely capture the hidden spatial dependency in the data. Extensive experiments are conducted on four benchmark datasets compared with frequently used models. The results demonstrate that the proposed model can precisely capture the hidden spatial dependency of the traffic flow data and achieve superior performance. (shrink)