Analysis of New Senior English for China Student’s Book 1

This article will firstly discuss the context overview of English teaching and learning in China. Under thiscircumstance, a problematic element will be examined of the New Senior English for China Student’s Book 1 and critical appraisal ofhow this element relates to other elements of curriculum development will be analyzed. The recommended changes and demonstrationmechanisms for evaluating the changes are put forward in the last two parts.

AWeb Application Fingerprint Recognition Method Based on Machine Learning

Web application fingerprint recognition is an effective security technology designed to identify and classify web applications,thereby enhancing the detection of potential threats and attacks.Traditional fingerprint recognition methods,which rely on preannotated feature matching,face inherent limitations due to the ever-evolving nature and diverse landscape of web applications.In response to these challenges,this work proposes an innovative web application fingerprint recognition method founded on clustering techniques.The method involves extensive data collection from the Tranco List,employing adjusted feature selection built upon Wappalyzer and noise reduction through truncated SVD dimensionality reduction.The core of the methodology lies in the application of the unsupervised OPTICS clustering algorithm,eliminating the need for preannotated labels.By transforming web applications into feature vectors and leveraging clustering algorithms,our approach accurately categorizes diverse web applications,providing comprehensive and precise fingerprint recognition.The experimental results,which are obtained on a dataset featuring various web application types,affirm the efficacy of the method,demonstrating its ability to achieve high accuracy and broad coverage.This novel approach not only distinguishes between different web application types effectively but also demonstrates superiority in terms of classification accuracy and coverage,offering a robust solution to the challenges of web application fingerprint recognition.

Calculation of Expected Shortfall for Measuring Risk and Its Applications

Expected shortfall(ES) is a new method to measure market risk. In this paper, an example was presented to illustrate that the ES is coherent but value-at-risk(VaR) is not coherent. Three formulas for calculating the ES based on historical simulation method, normal method and GARCH method were derived. Further, a numerical experiment on optimizing portfolio using ES was provided.

Study on the Emission Reduction Effect of Environmental Protection Tax—An Empirical Study Based on the Change of Pollution Charge Standard in China?

This paper reflects the actual effect of China’s environmental protection tax by empirically analyzing the environmental effect of the emission fee, in order to provide reference for China’s environmental tax reform. Based on the traditional environmental “Kuznets” model, the factor of environmental tax is added to verify the effect of environmental governance of environmental tax. The results show that: 1) the improvement of sulfur dioxide emission charge standard can effectively inhibit industrial sulfur dioxide emission, which verifies the existence of environmental effect of pollution levy policies. 2) The improvement of sewage charge standard has better inhibitory effect on sulfur dioxide emission per unit GDP than on sulfur dioxide emission. 3) There is regional heterogeneity in the “emission reduction” effect of sulfur dioxide emission charges in the eastern, central and western regions of China. Pollutants should be taxed differently according to regional differences. 4) Economic growth and sulfur dioxide emission show an inverted “U” shape, China is still in the stage before the inflection point of EKC. Economic growth still takes environmental damage as the cost, and the “emission reduction” effect of technological progress is not ideal, which reveals the urgency of increasing technological development in the field of green environmental protection under the current situation.

A Support Vector Machine-based Evaluation Model of Customer Satisfaction Degree in Logistics

This paper presents a novel evaluation model of the customer satisfaction degree （CSD） in logistics based on support vector machine （SVM）. Firstly, the relation between the suppliers and the customers is analyzed. Seondly, the evaluation index system and fuzzy quantitative methods are provided. Thirdly, the CSD evaluation system including eight indexes and three ranks based on one-against-one mode of SVM is built, last simulation experint is presented to illustrate the theoretical results.

An Analysis of Competition over Interest Rate among Banks in China

In 2000, the central bank of China adopted a policy to gradually liberalize its interest rate, and thus raised the curtain of competition over interest rate among the banks in China. The objective of this study is to put a focus on the existing banking market environment and thereafter the gaming behaviors of the banks on different stages given the interest rate is loosened gradually as scheduled.

The diffi culties of "polluter pays" policy in agricultural pollution in UK and methods to improve it

Agricultural wastes poll,tion became serious after great improvement in technology and the encouragement of production for the government since the end of the World Wai Ⅱ. Economists and environmental scholars suggested that ＂polluter pays＂ policy be employed in agricultural pollution control. However, it was hard to implement ＂polluter pays ＂ policy alone in agricultural wastes pollution.In practice, there were two social faCtors which contrih,ted to the improvement of water quality in the southwest of United Kingdom. One method is to communicate with farmers and then give farmers some advice or exhortation on facilities and management. The other method is to set up a telephone hotline for public to report water quality and probable pollution. Therefore, the consideration and combination of social factors in the control of agricultural wastes pollution are necessary, and important. Edueation of basic natural sciences relevant to agricultural pollution, system management of agricultural pollutants and laws relevant to agricultural pollution is suggested to be the third .social factor that British government can consider.

A method for improving the accuracy of automatic indexing of Chinese-English mixed documents

Purpose: The thrust of this paper is to present a method for improving the accuracy of automatic indexing of Chinese-English mixed documents.Design/methodology/approach: Based on the inherent characteristics of Chinese-English mixed texts and the cybernetics theory,we proposed an integrated control method for indexing documents. It consists of 'feed-forward control','in-progress control' and 'feed-back control',aiming at improving the accuracy of automatic indexing of Chinese-English mixed documents. An experiment was conducted to investigate the effect of our proposed method.Findings: This method distinguishes Chinese and English documents in grammatical structures and word formation rules. Through the implementation of this method in the three phases of automatic indexing for the Chinese-English mixed documents,the results were encouraging. The precision increased from 88.54% to 97.10% and recall improved from97.37% to 99.47%.Research limitations: The indexing method is relatively complicated and the whole indexing process requires substantial human intervention. Due to pattern matching based on a bruteforce(BF) approach,the indexing efficiency has been reduced to some extent.Practical implications: The research is of both theoretical significance and practical value in improving the accuracy of automatic indexing of multilingual documents(not confined to Chinese-English mixed documents). The proposed method will benefit not only the indexing of life science documents but also the indexing of documents in other subject areas.Originality/value: So far,few studies have been published about the method for increasing the accuracy of multilingual automatic indexing. This study will provide insights into the automatic indexing of multilingual documents,especially Chinese-English mixed documents.

A Proposal for an English Teacher Education Program for Chinese Secondary English Teachers

This article centers around a proposal for an English teacher education program for Chinese secondary English teachers.For comprehending the proposal,three main elements have been covered.The first section focuses on the teaching context and teaching content along with the underpinning reasons.In the second part,methodology of the program as well as its rationale has been examined.The last section,the strengths and weaknesses of the program are evaluated based on the synthesis of Wallace’s(1991)framework and Peacock’s(2009)model of evaluation.

Ecological economic benefit in sustainable development

From the concept of ecological economic benefit, I put forward the general formula for the benefit of ecological economy and the appraisal methods of the ecological economy. Theory on ecological benefit and economic benefit is the base of the benefits of ecological economy To some extent the development of ecological economy, theory and practice on eco-agriculture are both the production made from opposition and unify of ecological benefit and economic benefit. This paper discusses the ＂T＂ type saucture, which will give the theoretical bases for enhancing the ecological and economical benefits.

Technological Research about “IPO” Suited for Market Environment in China

Recently, IPO (Initial Public Offering)has seen great change in China. This shift resulted in significant reformation in the way of operation for domestic investment bank. In the future competition for IPO market among investment banks, the refined pricing ability will stand for the winner as prerequisite. As a kind of discussion on IPO pricing, this paper begins with how the reasonable IPO price is being worked out from three layers: the evaluation of stocks, the equilibrium of price and the formation of the final price. On this basis, we summarize and analyze the process of the reform of domestic IPO. Finally, we give some suggestions on this problem for further reform. Key words IPO pricing - reform - market environment

A Service Ratio-Based Dynamic Fair Queueing Algorithm for Packet-Switching Networks

A new weighted fair queueing algorithm is proposed, which uses the novel flow-based service ratio parameters to schedule flows. This solves the main drawback of traditional weighted fair queneing algorithms- the packet-based calculation of the weight parameters. In addition, this paper proposes a novel service ratio calculation method and a queue mangement technology. The former adjusts the service ratio parameters adaptively based on the dynamics of the packet lengths and thee solves the unfairness problem induced by the variable packet length. The latter improves the utilization of the server＇s queue buffer and reduces the delay jitter through restricting the buffer length for each flow.

The Agricultural Export Competitiveness and Independent Innovation in Liaoning Province

Through the vertical and horizontal analysis of agricultural export data in Liaoning Province during the period 2006-2010,we can find that Liaoning Province has already a major exporter of agricultural products,but there is no significant increase in many indicators with great fluctuation or declining trend. Meanwhile,compared with other provinces,the competitive advantages of agricultural export in Liaoning Province are not obvious,lacking competitive potential. Analysis shows that it is a strenuous task for Liaoning Province to transform from a major exporter of agricultural products to strong export province; during the course,relying on independent innovation is the fundamental guarantee. Liaoning Province should rely on independent innovation,to create new agricultural varieties,lead the international standards of agricultural products,form the brand agriculture,and improve the agricultural industry chain.

Rule Generation Based on Dominance Matrices and Functions

Rough set theory has proved to be a useful tool for rule induction. But, the theory based on indiscernibility relation or similarity relation cannot induce rules from decision tables with criteria. Greco et al have proposed a new rough set approach based on dominance relation to handle the problems. The concept of dominance matrix is put forward and the dominance function is constructed to compute the minimal decision rules which are more general and applicable than the ones induced by the classical rough set theory. In addition, the methodology of simplification is presented to eliminate the redundancy in the rule set.

Visibility restoration for real-world hazy images via improved physical model and Gaussian total variation

1 Introduction Under real-world haze conditions,the existence of haze particles in the atmosphere reduces the visibility of captured image.Furthermore,the noise is inevitably introduced into the degraded image,which further deteriorates the visual quality of the images.To enhance the visibility and quality of outdoor real-world hazy images,numerous algorithms have been proposed to remove haze from a single input image.The existing methods are broadly lumped into two categories:prior-based methods[1,2]and learning-based methods[3–6].Unfortunately,the widely used atmospheric scattering model and the corresponding haze removal methods fail to take the noise interference into account,which may result in poor visibility restoration performance.

English-Chinese Neural Machine Translation Based on Self-organizing Mapping Neural Network and Deep Feature Matching

The traditional Chinese-English translation model tends to translate some source words repeatedly,while mistakenly ignoring some words.Therefore,we propose a novel English-Chinese neural machine translation based on self-organizing mapping neural network and deep feature matching.In this model,word vector,two-way LSTM,2D neural network and other deep learning models are used to extract the semantic matching features of question-answer pairs.Self-organizing mapping(SOM)is used to classify and identify the sentence feature.The attention mechanism-based neural machine translation model is taken as the baseline system.The experimental results show that this framework significantly improves the adequacy of English-Chinese machine translation and achieves better results than the traditional attention mechanism-based English-Chinese machine translation model.

English Text Sentiment Analysis Based on Convolutional Neural Network and U-network

English text sentiment orientation analysis is a fundamental problem in the field of natural language processing.The traditional word segmentation method can produce ambiguity when dealing with English text.Therefore,this paper proposes a novel English text sentiment analysis based on convolutional neural network and U-network.The proposed method uses a parallel convolution layer to learn the associations and combinations between word vectors.The results are then input into the hierarchical attention network whose basic unit is U-network to determine the affective tendency.The experimental results show that the accuracy of bias classification on the English review dataset reaches 93.45%.Compared with many existing sentiment analysis models,it has more accuracy.

A MATHEMATICAL PROGRAMMING MODEL FOR THE COEXISTENCE OF COMPETITIONS AND COOPERATIONS PROBLEMS

We study in this paper a mathematical programming model for the coexistence of competitions and cooperations problems. We introduce a new solution concept, s-optimal solution for the problem, which always exists under compact and continuous conditions. It is shown that an s-optimal solution can be obtained by solving a nonlinear programming problem. Some examples are given to explain how to compute an s-optimal solution.

Evolutionary Algorithms for Solving Unconstrained Multilevel Lot-Sizing Problem with Series Structure

This paper presents a comparative study of evolutionary algorithms which are considered to be effective in solving the multilevel lot-sizing problem in material requirement planning(MRP)systems.Three evolutionary algorithms(simulated annealing(SA),particle swarm optimization(PSO)and genetic algorithm(GA))are provided.For evaluating the performances of algorithms,the distribution of total cost(objective function)and the average computational time are compared.As a result,both GA and PSO have better cost performances with lower average total costs and smaller standard deviations.When the scale of the multilevel lot-sizing problem becomes larger,PSO is of a shorter computational time.

试论无国界管理人才的培养构架及其评价体系（英文）

本文在综述已有研究的基础上,构筑了'基于冰河知识体系的无国界管理人才素质结构'和'基于大学核心职能的无国界管理人才培养创新平台'构架,并给出了二者具体的评价指标体系。最后还剖析了上海外国语大学MBA无国界管理人才的培养模式。