从《直斋书录解题》看陈振孙的经学思想

陈振孙《直斋书录解题》在经部分类方面,吸收前代目录学著作之长,结合学术思潮发展的状况及图书存目之数量,突破前人经部目录分类之藩篱,取得前代未有之成就。陈振孙不仅为目录学家,亦是造诣精深之经学家,然其经学著作早已散佚,唯从《直斋书录解题》中窥见其经学主张。陈振孙治经注重源流,明辨真伪,推崇创新,引援精博,反对繁碎穿凿之说,亦反佛、老之异说。在特定之时代与学术立场之下,表现出崇朱贬王之思想倾向。陈振孙经学思想,融汇汉、宋,表现于既重视训诂小学,又注重文献辨伪,实则博采两学之长,开宋代后期学术风气之取向。

How to Improve Urban Competitiveness

Urban competitiveness has been the hot topic for researches and studies over years. The aim of this paper is to elaborate urban competitiveness. First, definition of competitiveness is discussed in detail and then the differences of competitiveness of nations and enterprises are presented. In Section 2, urban competitiveness is defined. Since the assessment of urban competitiveness is the focus of many studies, Section 3 elaborates four models or frameworks for assessing urbancompetitiveness. Last, but by no means the least, Chengdu has been discussed as a case on how to improve urban competitiveness. Three suggestions are put forward, which are clustering strategy, more efficient governance and urban marketing campaigns respectively.

A New Extension Theory-based Production Operation Method in Industrial Process

To explore the problems of dynamic change in production demand and operating contradiction in production process, a new extension theory-based production operation method is proposed. The core is the demand requisition, contradiction resolution and operation classification. For the demand requisition, the deep and comprehensive demand elements are collected by the conjugating analysis. For the contradiction resolution, the conflict between the demand and operating elements are solved by the extension reasoning, extension transformation and consistency judgment. For the operating classification, the operating importance among the operating elements is calculated by the extension clustering so as to guide the production operation and ensure the production safety. Through the actual application in the cascade reaction process of high-density polyethylene (HDPE) of a chemical plant, cases study and comparison show that the proposed extension theory-based production operation method is significantly better than the traditional experience-based operation method in actual production process, which exploits a new way to the research on the production operating methods for industrial process.

Classification and Identification of Nuclear, Biological or Chemical Agents Taken from Remote Sensing Image by Using Neural Network

In the context of new risks and threats associated to nuclear, biological and chemical （NBC） attacks, and given the shortcomings of certain analytical methods such as principal component analysis （PCA）, a neural network approach seems to be more accurate. PCA consists in projecting the spectrum of a gas collected from a remote sensing system in, firstly, a three-dimensional space, then in a two-dimensional one using a model of Multi-Layer Perceptron based neural network. It adopts during the learning process, the back propagation algorithm of the gradient, in which the mean square error output is continuously calculated and compared to the input until it reaches a minimal threshold value. This aims to correct the synaptic weights of the network. So, the Artificial Neural Network （ANN） tends to be more efficient in the classification process. This paper emphasizes the contribution of the ANN method in the spectral data processing, classification and identification and in addition, its fast convergence during the back propagation of the gradient.

Controlling Chaos in Neuron Based on Lasalle Invariance Principle

A new control law is proposed to asymptotically stabilize the chaotic neuron system based on LaSalleinvariant principle.The control technique does not require analytical knowledge of the system dynamics and operateswithout an explicit knowledge of the desired steady-state position.The well-known modified Hodgkin-Huxley (MHH)and Hindmarsh-Rose (HR) model neurons are taken as examples to verify the implementation of our method.Simulationresults show the proposed control law is effective.The outcome of this study is significant since it is helpful to understandthe learning process of a human brain towards the information processing,memory and abnormal discharge of the brainneurons.

The Functional Approach to the Teaching of Translation: A Case Study on Beiying and Its English Translations

This paper reports the attempt to apply the functional approach to the translation teaching practice that guides students in their study of Chinese essays and their English translations. The famed modern Chinese essay Belying and its three English translations were taken for case study from the perspective of Experiential Function in Systemic Functional Linguistics. A process type analysis of Beiying and its English translations was conducted, including analysis of texts, sample processes, distributions of process types in Beiying and analyses of similarities and differences in the distributions. Results are as follows： 1） The similarities between English and Chinese texts lie in the experiential world, which makes translation possible. The process types in the essay text are directly related to genre, and the material process predominates among the process types in essay texts. 2） The differences are that the percentage of the material process in the ST is higher than that in the three English translations, and this shows the characteristics of verb-prominence in Chinese and nominalization in English. 3） Cultural differences in translation are the root-cause of linguistic differences. These results from the case of practicing the functional approach to the teaching of translation can help students gain understanding of English translations of Beiying and can provide some inspiration for the teaching of Chinese-English essay translation and the related studies.