Students` Perspectives on the Use of Innovative and Interactive Teaching Methods at the University of Nouakchott Al Aasriya, Mauritania: English Department as a Case Study

This study was carried to inspect students` views on the use of innovative and interactive teaching methods used in the English studies major at the University of Nouakchott Al Aasriya, Mauritania. This was a corollary of the fact that innovation in teaching, regardless the nature of the course or subject, has become a buzz word in the academic institutions. A quantitative research methodology was used and the data were collected from 101 students from the English Department. The collected data were analyzed using SPSS as an attempt to provide descriptive statistics to verify the students` perception of the use of innovative and interactive teaching methods. The findings of the study revealed that 91.1% of the students believe that their teachers do use some of the innovative and interactive teaching methods in their classes; still, 70.3% of the respondents were in favor of continuous trainings for teachers on the use of innovative and interactive teaching methods, which is a very alarming percentage. Also, the findings of this study have some significant implications such as the necessity to move from teaching to learning as an attempt to make learning an enjoyable and memorable experience. The results of this study contribute to literature by concentrating on the use of innovative and interactive teaching methods in Mauritanian higher education institutes. Keywords: Innovative, Interactive, Teaching Methods, Students, Higher Education, Mauritania

COVID-19 Detection from CBC using Machine Learning Techniques

Covid-19 pandemic has seriously affected the mankind with colossal loss of life around the world. There is a critical requirement for timely and reliable detection of Corona virus patients to give better and early treatment to prevent the spread of the infection. With that being said, current researches have revealed some critical benefits of utilizing complete blood count tests for early detection of COVID-19 positive individuals. In this research we employed different machine learning algorithms using full blood count for the prediction of COVID-19. These algorithms include: “K Nearest Neighbor, Radial Basis Function, Naive Bayes, kStar, PART, Random Forest, Decision Tree, OneR, Support Vector Machine and Multi-Layer Perceptron”. Further, “Accuracy, Recall, Precision, and F-Measure” are the performance evaluation measures that are utilized in this study.

Integrating Blockchain Technology with Internet of things to Efficiency

The research study focused on integrating blockchain technology with the internet of things. The study is necessitated by the need to come up with practical and feasible means to improve the accuracy, accountability and trust among various parties involved in blockchain transactions. The research recognizes the fact that there has been an increasing using of the cryptocurrency in the global market. This has lead to the emergence of blockchain, which is one of the disruptive technologies in the information and technology sector. The research study indicates that there is a need to improve on the architecture of blockchain and the IoT system. It shows that there is a need to develop a new model to improve its efficiency and accuracy. This research paper recommends the use of decentralized model to enhance the efficiency of the integration of the blockchain technology and IoT.

Treatment Response Prediction in Hepatitis C Patients using Machine Learning Techniques

The proper prognosis of treatment response is crucial in any medical therapy to reduce the effects of the disease and of the medication as well. The mortality rate due to hepatitis c virus (HCV) is high in Pakistan as well as all over the world. During the treatment of any disease, prediction of treatment response against any particular medicine is difficult. This paper focuses on predicting the treatment response of a drug: “L-ornithine L-Aspartate (LOLA)” in hepatitis c patients. We have used various machine learning techniques for the prediction of treatment response, including: “K Nearest Neighbor, kStar, Naive Bayes, Random Forest, Radial Basis Function, PART, Decision Tree, OneR, Support Vector Machine and Multi-Layer Perceptron”. Performance measures used to analyze the performance of used machine learning techniques include, “Accuracy, Recall, Precision, and F-Measure”.

Does Information Technology Competencies and Fleet Management Practices lead to Effective Service Delivery? Empirical Evidence from E- Commerce Industry

Competency Model requires knowledge, skills, and abilities needed for fleet and distribution management for ecommerce industry to maintain successful movement of materials between parties within their supply chain to achieve high levels of reliability and cost-efficiency. This research aims to investigate the relationship and impact of information technology competencies and fleet management practices to achieve effective service delivery. A quantitative approach used to examine the model validation. The methodology of this research follow the descriptive correlational design. A real data records used to collect empirical from e-Commerce industry. Results of analysis proved the relationship and impact of information technology competencies and fleet management practices to achieve effective service delivery, as a result of analyzing the data the hypotheses. Some recommendations regarding information technology competencies and its dimensions should be enhanced, also, incorporating the latest innovations to facilitate fleet management.

The Best Practice of Teach Computer Science Students to Use Paper Prototyping

The importance of understanding the repercussions of effective user interface (UI) design is critical for future Computer Science (CS) professionals, given the ubiquity of interfaces on computer devices. Through a paper prototyping activity, this article explains how to teach rapidly and successfully CS students about "fit," a Human-Computer Interaction (HCI) concept. Despite its simplicity, the concept of "fit" can be difficult to grasp without much practice. In practice, designing "fit" into UIs can be prohibitively expensive because workable prototypes are generally beyond the technical capabilities of students. As a result, we illustrate how to use paper prototyping to demonstrate "fit" in a hands-on class exercise based on active learning concepts. To guide students through the process of "fit" in UI design, we provide extensive step-by-step directions for planning, setting up, and presenting the exercise. Students will be better equipped to apply both theoretical and practical applications of "fit" in UI design and execution as a result of this assignment; this exercise can be used in any course that covers user interface design, such as concepts of human-computer interaction, systems analysis and design, software engineering, and project management.

The Impact of Process Quality and Quality Control on Organizational Competitiveness at 5-star hotels in Dubai

Hotel industry is seeing many challenges because of the market challenges due to perfect competition market. Among these challenges quality assurance and quality control has significant impact because these factors determine the competitiveness level of the organization. In this research study we explained the hotel industry in the light of process quality and quality control. Interview was arranged and data was collected for interpretation. Results stated that process quality and quality control has significant impact on attaining competitiveness in hotel industry. This study can contribute a lot not just in theoretical field but also in practical field where the hotels can evaluate their own performance and the lacking in their own strategies.

The Impact of Information Sharing and Quality Assurance on Customer Service at UAE Banking Sector

In the present competitive market, information sharing and quality assurance are bothneeded for client support. This relationship was set up through a quantitative examinationstudy. The information was gathered utilizing the poll strategy, and the discoveries uncoveredthat, despite options, banks are continually enticed to bundle item contributions to draw inclients. This appeal stems exclusively from the arrangement of excellent administrations. Atlast, ideas are made for additional improvement to remain competitive in the monetary market.

The Growth of Internet of Things (IoT) In The Management of Healthcare Issues and Healthcare Policy Development

The internet of things is becoming a new sensation in the medical and healthcare field. Healthcare is one of the sustainable development areas across different regions. This study aims at developing an analysis of Internet of Things (IoT) in the healthcare sector for the purposes of achieving sustainable development. The study took a direction of applied descriptive research. The methodology applied was Fuzzy Analytical Hierarchy Process (FAHP). This is a single cross- section survey research. After data gathering, the agreed paired comparison matrices, allocated to weighted criteria and the priority of internet of things usage were determined. The two criteria, quality of life and economic prosperity had the highest priority for internet of things sustainable development in the healthcare system. Fall detection, dental health, and ultraviolet radiation wereamong the areas where IoT was found to be applied prominently.

Convergence between Blockchain and the Internet of Things

The objective of this study was to determine the effectiveness of a particular convergencemodel for IoT and blockchain. Multiple regression model was selected to determine the effectiveof a specific convergence model. Three convergence models were selected for this study, includingthe hybrid approach, the IoT-blockchain approach, and the IoT-IoT approach. The findingsindicated that there are issues with convergence between two different technologies. The otherfinding was that the hybrid model provided the best convergence platform for integrating IoT withblockchain. Regarding the IoT and blockchain, convergence challenges included the limitedcapacity of IoT devices to handle the nature of distributed ledgers. The recommendation is that theaspects of traditional blockchain should be redesigned because of new requirements of IoT,including smart contracts, consensus protocol, data privacy, and security.