Characteristics of Contractual English and Its Translation Methods

With the occurrence of economic globalization,the translation of contractual English has played an increasingly important role in China economy.However,as a subject of business English,it is rare to find the research of contractual English,furthermore,the general translation theory including business English is not suited for contractual English translation.It will have both theoretical meanings and practical meanings to analysize contractual English translation.After simple contrast between business English and contractual English,from the characteristic of contractual English,the author discussed in detail about his understanding and research of the standards and mode of contractual English translation.The translation criteria:"faithfulness","exactness"and"customariness"are suggested.In the translation mode,the linguistic analysis is used to translate the contract,namely,vocabulary and syntax.The paper is completed on the basis of the author's knowledge on the linguistic theroy and understandings of contract and contractual English.

Research on the Circulation Problems of Contractual Management Right of Rural Land

Based on the judicial explanation of the contractual management right of land, the thesis elaborates the definition of main body of contractual management right of rural land; right of possession, use right, usufruct of contractual management right of land; autonomy of production and operation; disposition of the products; expropriation and occupation compensation authority of contractual land respectively, in order to demonstrate the connotation of land contractual management. The thesis also analyzes perspicaciously the phenomenon of non-agricultural-use land and proclaiming phenomenon of contractual management right of land. We should establish normalized rural land property rights register system to perfect contractual management right of land. Proclaiming of agriculture land right also should adopt registration effectiveness so as to guarantee the legality of transference of agricultural land to non-agricultural land in terms of system. We should perfect rural land circulation in terms of normalizing land circulation laws and normalizing contractual farmers fees: in terms of the movable agricultural land right, we should further perfect the types and content of circulation and lessen non-legal form restrictions of circulation; in terms of contractual fees, we should normalize contractual fees of land in order to preclude the contradiction between the contractees and contractors arising from blank space of laws.

Disputes over Circulation of Rural Land Contractual Management Right and Control Countermeasures

On the basis of current situations of disputes over rural land contractual management right,this paper analyzes causes of disputes from four aspects. It states that controlling disputes,regulating and strengthening land circulation in accordance with laws are core works of new socialist countryside construction and rural reform. Finally,it presents five control countermeasures,including improving laws and regulations on circulation of rural land contractual management right,strengthening popularization and guidance of relevant laws and regulations,government departments administering in accordance with laws,stressing management of land contractual management right circulation contract,and establishing and perfecting land circulation intermediaries to realize market-oriented circulation.

Conceptual Analysis of Contractual Relationship in Dairy Supply Chain

Dairy industry is the pillar of Heilongjiang Province. The contractual relationship of the dairy supply chain played a vital role in the dairy industry for development. The contractual relationship between the main dairy farming body and the dairy processing enterprise, as well as the impact of this contractual relationship on their cooperation in dairy supply chain were studied. Taking 366 dairy farming bodies in Heilongjiang Province as the main research objects, Likert scale was used to measure the factors affecting the contractual relationship and applied these factors to the correlation construction of dairy farming body and processing enterprise. Then, confirmatory factor analysis was used to collect data and made the conclusion that once dairy farming body perceived the opportunistic behavior and lacking of cooperation, the trust of dairy processing enterprise would be lost. Additionally, the satisfaction of dairy farming body on partnership also had a positive effect on the level of trust and commitment, the relative dependence and the perception of the partnerships, which made it possible to analyze how to strengthen the contractual relationship and provide theoretical basis for dairy industry development in Heilongjiang Province.

Is the Equity Transfer Agreement of a Chinese-Foreign Contractual Joint Venture Valid? A Case Comment on Xianyuan v.Zhongxin

Under Chinese law, when parties have signed an equity transfer agreement of the Chinese-Foreign contractual joint venture, they need to report to the examination and approval authority for approval. However, due to imperfection of and conflicts among laws and regulations as well as misunderstanding of the above system, it is always difficult for judges to determine the validity of such equity transfer agreement under the administrative approval system. Among the three categories of FIEs provided in Chinese law 1, scholars have had a comprehensive discussion over equity transfer agreement involving Sino-Foreign Equity Joint Venture Enterprises, but this case is concerned with the equity transfer agreement of a Chinese-Foreign contractual joint venture. In this case, the People's Supreme Court holds that the equity transfer agreement that has not undergone the approval procedures are not valid but not void. Furthermore, the parties that are bound to submit the agreement to the approval authority shall perform their duties of this kind.

Empirical Analysis on Transfer and Limitation of Land Contractual Management Right

Existing laws have three limitations on transfer of land contractual management right. The survey of 506 farmer households in Zhejiang,Jiangxi and Guangxi provinces indicates that most farmers have the consistent knowledge of limitation on " transfer being approved by the party giving out the contract in advance" with legislative requirements,but it is not effectively implemented in actual operation. As to limitation on transferee,no matter in cognition of farmers,or in real transfer process,the transferee is not totally limited to farmers engaged in agricultural production and management. For the constraint that the transferor should have stable non-agricultural occupation or stable income source, most farmers agree,but more than half of the farmers have not confirmed the transfer action in practice.

Analysis on Mortgage of Farmland Contractual Management Right and Countermeasures

In recent years, a series of pilot projects in mortgage of farmland contractual management right have been carried out in some regions. However, there is considerable dispute over whether the farmland contractual management right can be mortgaged in the practice of China's legislation on land circulation. We firstly introduced current situations of mortgage of farmland contractual management right in China. Then, we analyzed existing problems in mortgage of farmland contractual management right. Finally, we put forward corresponding countermeasures and recommendations, to bring into full play land use efficiency, more rationally distribute land resource, and further promote development of rural economy.

Research on Contractual Model Selection of Farmers' Cooperatives——A Case Study of Production and Marketing Cooperative of Sweet Pomegranate in Mengzi,Yunnan

In the perspective of new institutional economics,we regard farmers' cooperatives as a "contractual set" integrating a series of long-term contractual relations,and transform the selection problem of organization forms into selection problem of contractual model within organization.By the theoretical framework of Transaction Cost Economics,we analyze the formation mechanism and determinant factors of contractual model of different farmers' cooperatives and conduct case study on Production and Marketing Cooperative of Sweet Pomegranate in Mengzi,Yunnan.The results show that selecting contractual forms of cooperatives is the result of weighing many factors;new organization model or contractual arrangement is complementary to the former system arrangement;the selection of cooperatives model is an important factor impacting cooperation efficiency and stability of organization.One organization model with efficiency not only hinges on the transaction characteristic of organization,but also considers the compatibility with exterior transaction environment.In the process of selecting contractual model,we should conform to objective evolving law,but not be in thrall to a certain given form.

Contract System for Circulation of the Right to Rural Land Contractual Management

From the perspective of civil subject theory,law of value,comparative law and history of laws,the thesis expounds that the contract on the transfer of the contractual right of rural lands is in nature a civil contract instead of an administrative one.Then it explores the defects in the contract from the viewpoint of legal value goal,contract law and legal sociology,that is,the relevant provisions in Rural Land Contract Law and Explanations of Supreme People's Court about the Issues concerning the Laws Applicable to the Trial of Cases of Disputes over Rural Land Contracting go against the principle of free contracting and run counter to the legal value goal of justice,so they do not achieve good implementing effect.Finally,the thesis demonstrates and makes some practical legislative proposals to perfect the contract system for circulation of the right to operate constructed rural lands,aiming at improving the circulation rate through perfecting the contract of the right to rural land contractual management,solving the disputes in rural lands circulation and safeguarding the legitimate rights of the farmers.

The Transfer of Land Contractual Management Rights in Ethnic Village--A Case Study of Ya'ergou Village in the Ningxia Hui Autonomous Region

Based on field survey in Ya'ergou Village,Yuanzhou District,Guyuan City,the Ningxia Hui Autonomous Region,we analyze the status quo of the transfer of land contractual management rights in this village,and study the basic information,form,characteristics,and problems concerning the transfer of land contractual management rights in this nationality village.Then corresponding countermeasures are put forward for promoting the transfer of land contractual management rights in ethnic village as follows:strengthening the publicity of the policy in order to improve farmers' ideological understanding;raising the rent in order to promote the transfer of the land contractual management rights;diverting the governmental investment to the talented people within village;consolidating management and resolving disputes in the transfer timely and effectively.

Effects of Contractual Savings Scheme on Slovak National Economy

Abstract： Contractual savings scheme is specific purpose saving, which was provided in Slovakia since 1993. It is a state-supported saving, the purpose of which is to finance housing needs in the Slovak Republic. Savers can be an individual, association of owners or legal person who enters into a contract with building society or for whom the contract about contractual savings scheme is concluded. State bonuses is contractual savings scheme, a significantly more attractive form of targeted saving. This ensures the supply of investment in the construction sector, which in turn through multiplier effect significantly affects other sectors of the national economy. In this article, the authors deal with the influence of contractual savings scheme to the national economy of the Slovak Republic. The main objective of this study is describing the effectiveness of state bonuses for contractual savings scheme. It is simulated through the impact of contractual savings scheme on employment, on public funds and impact on public finances. This effect is illustrated on a model of state subsidizing of each one Euro spent through the state bonuses for contractual savings scheme and its impact for the national economy with offsetting the significant role of the multiplier effect.

Image Recognition Model of Fraudulent Websites Based on Image Leader Decision and Inception-V3 Transfer Learning

The fraudulent website image is a vital information carrier for telecom fraud.The efficient and precise recognition of fraudulent website images is critical to combating and dealing with fraudulent websites.Current research on image recognition of fraudulent websites is mainly carried out at the level of image feature extraction and similarity study,which have such disadvantages as difficulty in obtaining image data,insufficient image analysis,and single identification types.This study develops a model based on the entropy method for image leader decision and Inception-v3 transfer learning to address these disadvantages.The data processing part of the model uses a breadth search crawler to capture the image data.Then,the information in the images is evaluated with the entropy method,image weights are assigned,and the image leader is selected.In model training and prediction,the transfer learning of the Inception-v3 model is introduced into image recognition of fraudulent websites.Using selected image leaders to train the model,multiple types of fraudulent websites are identified with high accuracy.The experiment proves that this model has a superior accuracy in recognizing images on fraudulent websites compared to other current models.

NFA:A neural factorization autoencoder based online telephony fraud detection

The proliferation of internet communication channels has increased telecom fraud,causing billions of euros in losses for customers and the industry each year.Fraudsters constantly find new ways to engage in illegal activity on the network.To reduce these losses,a new fraud detection approach is required.Telecom fraud detection involves identifying a small number of fraudulent calls from a vast amount of call traffic.Developing an effective strategy to combat fraud has become challenging.Although much effort has been made to detect fraud,most existing methods are designed for batch processing,not real-time detection.To solve this problem,we propose an online fraud detection model using a Neural Factorization Autoencoder(NFA),which analyzes customer calling patterns to detect fraudulent calls.The model employs Neural Factorization Machines(NFM)and an Autoencoder(AE)to model calling patterns and a memory module to adapt to changing customer behaviour.We evaluate our approach on a large dataset of real-world call detail records and compare it with several state-of-the-art methods.Our results show that our approach outperforms the baselines,with an AUC of 91.06%,a TPR of 91.89%,an FPR of 14.76%,and an F1-score of 95.45%.These results demonstrate the effectiveness of our approach in detecting fraud in real-time and suggest that it can be a valuable tool for preventing fraud in telecommunications networks.

Credit Card Fraud Detection Using Improved Deep Learning Models

Fraud of credit cards is a major issue for financial organizations and individuals.As fraudulent actions become more complex,a demand for better fraud detection systems is rising.Deep learning approaches have shown promise in several fields,including detecting credit card fraud.However,the efficacy of these models is heavily dependent on the careful selection of appropriate hyperparameters.This paper introduces models that integrate deep learning models with hyperparameter tuning techniques to learn the patterns and relationships within credit card transaction data,thereby improving fraud detection.Three deep learning models:AutoEncoder(AE),Convolution Neural Network(CNN),and Long Short-Term Memory(LSTM)are proposed to investigate how hyperparameter adjustment impacts the efficacy of deep learning models used to identify credit card fraud.The experiments conducted on a European credit card fraud dataset using different hyperparameters and three deep learning models demonstrate that the proposed models achieve a tradeoff between detection rate and precision,leading these models to be effective in accurately predicting credit card fraud.The results demonstrate that LSTM significantly outperformed AE and CNN in terms of accuracy(99.2%),detection rate(93.3%),and area under the curve(96.3%).These proposed models have surpassed those of existing studies and are expected to make a significant contribution to the field of credit card fraud detection.

DC-FIPD: Fraudulent IP Identification Method Based on Homology Detection

Currently,telecom fraud is expanding from the traditional telephone network to the Internet,and identifying fraudulent IPs is of great significance for reducing Internet telecom fraud and protecting consumer rights.However,existing telecom fraud identification methods based on blacklists,reputation,content and behavioral characteristics have good identification performance in the telephone network,but it is difficult to apply to the Internet where IP(Internet Protocol)addresses change dynamically.To address this issue,we propose a fraudulent IP identification method based on homology detection and DBSCAN(Density-Based Spatial Clustering of Applications with Noise)clustering(DC-FIPD).First,we analyze the aggregation of fraudulent IP geographies and the homology of IP addresses.Next,the collected fraudulent IPs are clustered geographically to obtain the regional distribution of fraudulent IPs.Then,we constructed the fraudulent IP feature set,used the genetic optimization algorithm to determine the weights of the fraudulent IP features,and designed the calculation method of the IP risk value to give the risk value threshold of the fraudulent IP.Finally,the risk value of the target IP is calculated and the IP is identified based on the risk value threshold.Experimental results on a real-world telecom fraud detection dataset show that the DC-FIPD method achieves an average identification accuracy of 86.64%for fraudulent IPs.Additionally,the method records a precision of 86.08%,a recall of 45.24%,and an F1-score of 59.31%,offering a comprehensive evaluation of its performance in fraud detection.These results highlight the DC-FIPD method’s effectiveness in addressing the challenges of fraudulent IP identification.

The Effects of Competence and Auditor Training on Fraud Detection Within Multinational Companies in Sub-Saharan Africa

The aim of this study is to examine the qualities that auditors engaged in detecting potential fraud within multinational corporations in Sub-Saharan Africa should possess.To achieve this goal,a quantitative approach was used to develop and test a research model based on three theories:agency theory,attribution theory,and cognitive dissonance theory.Responses from a panel of two hundred and nine(209)auditors who conducted a legal audit mission in a Sub-Saharan multinational were analyzed using SmartPLS 3.3.3 software.The results emphasize the crucial importance of auditors’competence and continuous training in fraud detection.However,professional skepticism and time pressure were found to be non-significant in this context.This conclusion provides essential insights for auditors,highlighting the key qualities needed to effectively address fraud detection within multinational corporations in Sub-Saharan Africa.

A Self-Adapting and Efficient Dandelion Algorithm and Its Application to Feature Selection for Credit Card Fraud Detection

A dandelion algorithm(DA) is a recently developed intelligent optimization algorithm for function optimization problems. Many of its parameters need to be set by experience in DA,which might not be appropriate for all optimization problems. A self-adapting and efficient dandelion algorithm is proposed in this work to lower the number of DA's parameters and simplify DA's structure. Only the normal sowing operator is retained;while the other operators are discarded. An adaptive seeding radius strategy is designed for the core dandelion. The results show that the proposed algorithm achieves better performance on the standard test functions with less time consumption than its competitive peers. In addition, the proposed algorithm is applied to feature selection for credit card fraud detection(CCFD), and the results indicate that it can obtain higher classification and detection performance than the-state-of-the-art methods.

An Anti-Fraud Policy:A Theoretical Framework for a Prosperity Tripod of Massive Data,Blockchain,and AI

The authors’aspiration was to learn-and focus on policy against fraud-leading to the sustainably growing societal illnesses of dishonesty,fraud,pessimism,and divisive issues.The appropriate venue,within the currently evolving laws and regulations,is proposed to be a three-tier combination of massive data,including data accumulation,transformation,organization,stratification,estimations,data analysis,and blockchain technology,predicted to revolutionize competition and efficiency,which are further suggested to be prerequisites for a more successful creation and implementation of the third element,AI.A currently evolving prosperity tripod is hinging on the three technological legs of the massive data control/management,blockchain tech,and a rapidly growing AI.While briefly incorporating some analysis of the blockchain application,we have analytically focused on the rest-the data and AI-of what we deem to be the prospective prosperity tripod for businesses,markets,and societies,in general,despite the challenges and risks involved in each.Instead of h ypothesizing a predetermined economic model,we are proposing a data-based Vector Autoregression(VAR)methodology for the AI with an application to the fraud and anti-fraud structure and policymaking.Hopefully,the entire attempt would portend some tangible prospective contribution in an achievable positive societal change.

Real-Time Fraud Detection Using Machine Learning

Credit card fraud remains a significant challenge, with financial losses and consumer protection at stake. This study addresses the need for practical, real-time fraud detection methodologies. Using a Kaggle credit card dataset, I tackle class imbalance using the Synthetic Minority Oversampling Technique (SMOTE) to enhance modeling efficiency. I compare several machine learning algorithms, including Logistic Regression, Linear Discriminant Analysis, K-nearest Neighbors, Classification and Regression Tree, Naive Bayes, Support Vector, Random Forest, XGBoost, and Light Gradient-Boosting Machine to classify transactions as fraud or genuine. Rigorous evaluation metrics, such as AUC, PRAUC, F1, KS, Recall, and Precision, identify the Random Forest as the best performer in detecting fraudulent activities. The Random Forest model successfully identifies approximately 92% of transactions scoring 90 and above as fraudulent, equating to a detection rate of over 70% for all fraudulent transactions in the test dataset. Moreover, the model captures more than half of the fraud in each bin of the test dataset. SHAP values provide model explainability, with the SHAP summary plot highlighting the global importance of individual features, such as “V12” and “V14”. SHAP force plots offer local interpretability, revealing the impact of specific features on individual predictions. This study demonstrates the potential of machine learning, particularly the Random Forest model, for real-time credit card fraud detection, offering a promising approach to mitigate financial losses and protect consumers.

Language Features of Contractual English

As contract is a written document in which what the parties are concerned and agree is stated, the simplest way to understand the drafting of the contract is, from the author's point of view, to be well acquainted with contractual language. Therefore, this article is intended to give a brief account of the language features of contractual English.