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An Exploration of the Relationships Between Different Reading Strategies and IELTS Test Performance: IELTS Test Taking Strategies - Chinese Students
No full textThis study explores which types of IELTS Academic Reading strategies are used, and the impact of these strategies on test outcomes. The study was a quantitative research, using descriptive-correlational design based on data collected from students at Sino-US University in China. Descriptive and inferential statistics were used to analyze the data. The method used in this study was a partial replication the work of a previous researcher's exploration of the reading processes learners engage in when taking IELTS Reading tests. Participants first finished an IELTS reading test, and then completed a written retrospective protocol. The analysis reveals that there is a moderately positive relationship between the choice of text preview strategy (from 1 to 5) and the outcome. A pattern was identified that using expeditious reading strategies to initially locate information, and more careful reading strategies to identify answers to the question tasks was common among high-scoring participants
Involvement of the Applied Translation Procedures in Compatibility of Persian Medical Terms With International Naming Criteria
No full textMedical language, as many technical languages, is rich with morphologically complex words. The increasing number of foreign words and specific terms incorporated into the native language are due to the ongoing development of technology and science. Many problems appear in medical translation when the Persian translators try to employ non-Persian or imported words in medical texts, in which multiple equivalents may be created for one particular word based on the individual preferences of authors and translators in the target language. According to this study, following the analysis of the data based on the applied translation procedures and word formation processes, the compatibility of the resulted characteristics has been investigated based on Sager's naming criteria and it is concluded that the main problem is due to the translation procedures of borrowing and substitution
“Shylock's Return”: Translational Transactions in The Merchant of Venice on the Hebrew Stage
No full textThis article addresses monetary, cultural, political and religious transactions, exchanges, conversions and translations between Jews and non-Jews in the play, “The Merchant of Venice,” in relation with Hebrew performances of the play and their social and political contexts. The article examines Leopold Jessner's production from 1936, Tyrone Guthrie production from 1959, Yossi Izae'li's production from 1972, and Hanan Snir's production from 1995 (both in Israel and in Germany). The discussion will address various facets of the complicated intercultural relations that the Merchant of Venice has come to symbolize to Hebrew speaking audiences
Integration of Examination Strategies in E-Learning Platform for Assessment of Collaborative Activities
No full textIn this article, the authors propose a set of examination strategies for distributing tasks of collaborative activities. The first purpose behind this proposal is to assess fairly the learners who are involved in group or team work at the e-learning platform. Indeed, in the literature, few methods are used to assess the learners' individual contributions to the collective or collaborative work. Therefore, the proposal of this article is based mainly around this issue. This will lead to an approach to assess individuals within the learning group (or team), which in turn, will allow to assess the group (or team) as a learning entity
A Framework for Ranking Hospitals Based on Customer Perception Using Rough Set and Soft Set Techniques
No full textHospital ranking is a cumbersome task, as it involves dealing with a large volume of underlying data. Rankings are usually accomplished by comparing different dimensions of quality and services. Even the quality care measurement of a hospital is multi-dimensional: It includes the experience of both clinical care and patient care. In this research, however, the authors focus on ratings based only on customer perception. A framework which consists of two stages—Stage I and Stage II—is designed. In the first stage, the model uses a rough set in a fuzzy approximation space (RSFAS) technique to classify the data; whereas in the second stage, a fuzzy soft set (FSS) technique is employed to generate the rating score. The model is employed for comparing USA hospitals by region using annual HCAHPS survey data. This article shows how ranking of the healthcare institutions can be carried out using the RSFAS (rough set in a fuzzy approximation space) and fuzzy soft set techniques
Deep Convolutional Neural Networks for Customer Churn Prediction Analysis
No full textSeveral machine learning models have been proposed to address customer churn problems. In this work, the authors used a novel method by applying deep convolutional neural networks on a labeled dataset of 18,000 prepaid subscribers to classify/identify customer churn. The learning technique was based on call detail records (CDR) describing customers activity during two-month traffic from a real telecommunication provider. The authors use this method to identify new business use case by considering each subscriber as a single input image describing the churning state. Different experiments were performed to evaluate the performance of the method. The authors found that deep convolutional neural networks (DCNN) outperformed other traditional machine learning algorithms (support vector machines, random forest, and gradient boosting classifier) with F1 score of 91%. Thus, the use of this approach can reduce the cost related to customer loss and fits better the churn prediction business use case
Moving Target Detection and Tracking Based on Improved FCM Algorithm
No full textWith the rapid development of computer intelligence technology, the majority of scholars have a great interest in the detection and tracking of moving targets in the field of video surveillance and have been involved in its research. Moving target detection and tracking has also been widely used in military, industrial control, and intelligent transportation. With the rapid progress of the social economy, the supervision of traffic has become more and more complicated. How to detect the vehicles on the road in real time, monitor the illegal vehicles, and control the illegal vehicles effectively has become a hot issue. In view of the complex situation of moving vehicles in various traffic videos, the authors propose an improved algorithm for effective detection and tracking of moving vehicles, namely improved FCM algorithm. It combines traditional FCM algorithm with genetic algorithm and Kalman filter algorithm to track and detect moving targets. Experiments show that this improved clustering algorithm has certain advantages over other clustering algorithms
The Internet of Things: Challenges and Considerations for Cybercrime Investigations and Digital Forensics
No full textThe Internet of Things (IoT) represents the seamless merging of the real and digital world, with new devices created that store and pass around data. Processing large quantities of IoT data will proportionately increase workloads of data centres, leaving providers with new security, capacity, and analytics challenges. Handling this data conveniently is a critical challenge, as the overall application performance is highly dependent on the properties of the data management service. This article explores the challenges posed by cybercrime investigations and digital forensics concerning the shifting landscape of crime – the IoT and the evident investigative complexity – moving to the Internet of Anything (IoA)/Internet of Everything (IoE) era. IoT forensics requires a multi-faceted approach where evidence may be collected from a variety of sources such as sensor devices, communication devices, fridges, cars and drones, to smart swarms and intelligent buildings
Information Source Before Travelling and Choice of Traveling Mode
No full textThe ability to attract tourists is crucial for the success of tourism firms in Malaysia. This has therefore raised a major concern on which information sources tourists use when making choices on their traveling mode as well as the destination. It is on this basis that tourism operators; tourism providers and managers of tourist destinations are particularly concerned with which information source or media to use to attract tourists to tourism destinations. This study investigates the relationship between information source before traveling and choice of traveling mode among Arab tourists coming to Malaysia. The study adopted a cross-sectional survey design with convenient sampling technique to generate questionnaire data from 358 participants who are mainly tourists from three major tourism attraction centers in Malaysia. The questionnaire data was analysed using multiple regression analysis technique to determine the relationship between information source and choice of traveling mode among Arab tourists coming to Malaysia. First, the overall findings show that information source before traveling among Arab tourists coming to Malaysia is significantly related to the choice of traveling mode. Further findings revealed that both tourism service providers and tourism information centers sources but not travel agent source are significantly related to the choice of traveling mode among Arab tourists coming to Malaysia. The study concludes that the choice of traveling mode among Arabs coming to Malaysia is mainly determined by tourism service providers and tourism information centers sources of information and not travel agent source of information. The outcomes of the study have significant managerial implications for tourism operators, tourism providers and managers of tourist destinations as well as tourism policy makers in Malaysia
Research on the Uniqueness and Characteristic Development of University Library Cultural Services: Practices at Wuhan University Library
No full textCharacteristic development is a process of intentionally solidifying and cultivating something's uniqueness. This article analyzes the uniqueness of university library cultural services in comparison with those provided by other service institutions. Furthermore, this article reveals the differences between cultural services and other types of library services. Based on these analyses, this constructive research finds a way to achieve cultural services' characteristic development by taking service factors as the breakthrough point. The main strategies include building a professional service team, focusing on user demands, constructing characteristic resources, optimizing service spaces and facilities, and upgrading service brands; all of these strategies should be developed round the issue of culture. Finally, corresponding to the above strategies, this paper article the measures and effects of Wuhan University Library cultural services to share their experience