Research on Translation Strategies of Foreign-oriented Publicity Translation from the Perspective of Intercultural Communication

With the rapid development of Chinese economy, the foreign-oriented publicity translation becomes increasingly significant. The purpose of foreign-oriented publicity is to show a real China to the overseas and establish a great national image. Foreign-oriented publicity translation has become an important medium for spreading Chinese culture. Apart from following the standards of “faithfulness, expressiveness and elegance”, translators of publicity literature should be guided by the criteria of “three closeness”, which caters for the reality of China’s development, foreign audience’ needs for authentic Chinese information and foreign audiences’ thinking habits. Finally, translators should have the awareness of intercultural communication and ensure the effective implementation of intercultural communication by flexible omission, addition and adaptation

An Analysis of the Legal Regime of Delisting in China

The legal regime of delisting is one of organic constituents of securities legal framework. This article, based on the reviews of delisting development in China, has briefly analyzed the content of delisting legal system: the delisting standard and the delisting procedure, and put forward several suggestions in consummating the delisting legal regime. Key words: delisting, delisting standard, delisting procedure Résumé: Le régime légal de la radiation est un constituant organique du cadre légal des valeurs. Cet article, basé sur la rétrospection du développement de la radiation de Chine, analyse brièvment le contenu du système légal de la radiation : le standard et la procédure, et propose ensuite des suggestions pour perfectionner ce système. Mots-Clés: radiation, standard de la radiation, procédure de la radiatio

Learning Robust and Discriminative Subspace With Low-Rank Constraints

IEEE Transactions on Neural Networks and Learning SystemsThe article of record as published may be found at http://dx.doi.org/10.1109/tnnls.2015.2464090In this paper, we aim at learning robust and discriminative subspaces from noisy data. Subspace learning is widely used in extracting discriminative features for classifica- tion. However, when data are contaminated with severe noise, the performance of most existing subspace learning methods would be limited. Recent advances in low-rank modeling provide effective solutions for removing noise or outliers contained in sample sets, which motivates us to take advantage of low-rank constraints in order to exploit robust and discriminative subspace for classification. In particular, we present a discriminative subspace learning method called the supervised regularization- based robust subspace (SRRS) approach, by incorporating the low-rank constraint. SRRS seeks low-rank representations from the noisy data, and learns a discriminative subspace from the recovered clean data jointly. A supervised regularization function is designed to make use of the class label information, and therefore to enhance the discriminability of subspace. Our approach is formulated as a constrained rank-minimization problem. We design an inexact augmented Lagrange multiplier optimization algorithm to solve it. Unlike the existing sparse representation and low-rank learning methods, our approach learns a low-dimensional subspace from recovered data, and explicitly incorporates the supervised information. Our approach and some baselines are evaluated on the COIL-100, ALOI, Extended YaleB, FERET, AR, and KinFace databases. The exper- imental results demonstrate the effectiveness of our approach, especially when the data contain considerable noise or variations.Funded by Naval Postgraduate SchoolNational Science Foundation Computer and Network SystemsONR Young InvestigatorOffice of Naval ResearchU.S. Army Research Office Young Investigato

First Abundance Measurement of Organic Molecules in the Atmosphere of HH 212 Protostellar Disk

HH 212 is one of the well-studied protostellar systems, showing the first vertically resolved disk with a warm atmosphere around the central protostar. Here we report a detection of 9 organic molecules (including newly detected ketene, formic acid, deuterated acetonitrile, methyl formate, and ethanol) in the disk atmosphere, confirming that the disk atmosphere is, for HH 212, the chemically rich component, identified before at a lower resolution as a "hot-corino". More importantly, we report the first systematic survey and abundance measurement of organic molecules in the disk atmosphere within $\sim$ 40 au of the central protostar. The relative abundances of these molecules are similar to those in the hot corinos around other protostars and in Comet Lovejoy. These molecules can be either (i) originally formed on icy grains and then desorbed into gas phase or (ii) quickly formed in the gas phase using simpler species ejected from the dust mantles. The abundances and spatial distributions of the molecules provide strong constraints on models of their formation and transport in star formation. These molecules are expected to form even more complex organic molecules needed for life and deeper observations are needed to find them.Comment: 12 pages, 4 figure