Effect of Distant Education on Children's Academic Achievement in Primary Schools During Corona Pandemic in Dubai Emirate- Field Study

This study aimed to examine the effect of distance education on the level of educational achievement of children during the Corona period in ten primary schools in the Emirate of Dubai. To achieve the objectives of the study the researchers adopted the descriptive analytical approach. The quantitative method of data collection had been applied using the electronic questionnaire tool consisted of four main axes for data collection and had been distributed to the study sample consisted of 190 students' parents and administrators selected by using simple random techniques. The results of the study indicated that the participation of students in the educational process, and in the establishment of appropriate educational programs and applications for the transmission to distance learning have contributed to reducing the negative effects of the process of shifting from traditional education / face-to-face education classroom teaching to virtual classroom (ZOOM).The study recommended the need for strengthening distance education mechanisms, which contribute in developing the student's interests, tendencies, attitudes, concentrating on the study material, and using of safe and secured electronic devices to increase the search for additional information to reach the correct knowledge. Also, the school administration should have good e-learning plan ahead with required financial credits that will help in overcoming the crisis and mange distance learning processes to reach future objectives successfully. © 2022 Owner/Author.

The Impact of ESG Practices in Industry with a Focus on Carbon Emissions: Insights and Future Perspectives

In recent years, interest in economic, environmental and social sustainability has increased significantly. Companies are gradually adopting behaviors aimed at achieving the Sustainable Development Goals, which represent a crucial aspect of the 2030 Agenda. In practice, they are currently incorporating organizational strategies that jointly consider environmental, social and corporate governance (ESG), with the aim of generating value for all stakeholders. This paper aims to review, through a recognized seven-step procedure, the current literature on the impact that ESG practices have in industry, with a focus on the reduction of carbon emissions. The results are extremely useful for both researchers and entrepreneurs. The bibliometric analysis shows that interest in the ESG paradigm has grown considerably in the last three years. Furthermore, through the analysis of 13 key documents, it emerges that (i) the European community is pushing significantly towards the adoption of ESG practices through new regulations, (ii) the link between industrial operations and carbon emissions can no longer be neglected within the factory of the future, and (iii) significant efforts are still needed to standardize, in terms of variables and KPIs, the adoption of ESG-centric strategies.

Evaluation of anti-nucleocapsid level variation to assess SARS-CoV-2 seroprevalence in a vaccinated population.

BACKGROUND: Serosurveys have been key to public health decision-making since the beginning of the SARS-CoV-2 pandemic. However, several studies have uncovered that vaccination blunts the anti-nucleocapsid (N) response to a subsequent infection, which hinders the ability of serologic assays (including commercial ones) to detect recent infections. We therefore developed a new analytical approach to increase the sensitivity of detection of infection in vaccinated individuals. METHODS: Two samples were obtained from 248 SARS-CoV-2-positive (PCR-confirmed), vaccinated donors: one before the infection (reference sample) and one after (test sample). All samples were tested using an in-house, anti-N enzyme-linked immunosorbent assay (ELISA) which had a sensitivity of 98.1% before the mass vaccination campaign. Instead of applying a seropositivity threshold based on a single absorbance value (i.e. conventional approach), seropositivity was determined based on the ratio between the anti-N absorbance of the test and reference samples. RESULTS: The sensitivity of the new approach to detect infection in vaccinated individuals was 95.2% using a cut-off of 1.5 for the anti-N ratio, whereas that of the conventional approach was 63.3%. CONCLUSION: The new analytical approach described herein captured a significantly greater proportion of vaccinated individuals with a known history of SARS-CoV-2 infection than the conventional approach used in most serosurveys.

What can managers learn from professional poker players about decision-making?

This paper aims to investigate how past decision-making experiences can improve future decisionmaking. Nine semi-structured interviews were conducted with profitable professional Poker players. The results point out that it is the knowledge background of the decision-maker that makes him make sense of the situations he experiences. The research findings allowed the identification of three mechanisms that facilitate and make future decisions faster and more appropriate based on past experiences: (1) memory, (2) reflection, and (3) tools and analytical approach. The research contributes by showing evidence that, when supported by analytical tools, decision-makers can improve the quality and speed of the decision-making process. For organizations and supply chains, the paper highlights the importance of recognizing patterns based on the past to make sense of the future. For operations management, in events like COVID-19, companies can take advantage of memory to enact over unprecedented scenarios, prevent disruptions, and recover. © 2023 IGI Global. All rights reserved.

Internal Control System on Using Digital Banking Applications and Services in Jordanian Banks During the Corona Virus Pandemic

A study has aimed at identifying the extent of effectiveness and ability of internal control to supervise digital banking applications and services which have been highly used in Jordanian banks due to the Corona. A descriptive analytical approach has been used due to the nature of the study;a questionnaire has been designed as a tool of data collection and distributed to study sample, composed of internal auditors, chief accountants, and financial managers in Jordanian commercial and Islamic banks. 96 questionnaires have been distributed. Statistical package for the social sciences (SPSS). The study has found that digital banking applications and services used by Jordanian bank have contributed to the achievement of internal control system's goals. In addition, it has indicated that digital banking applications and systems, used by Jordanian banks, are characterized by information properties which make internal control system more effective and efficient during the Corona pandemic. Moreover, the study has shown that public or regulatory administrative control procedures have achieved the effectiveness of digital banking applications and services used by Jordanian banks in the light of the Corona pandemic;and the procedures and systems of data security and safety have highly affected the effectiveness of digital banking applications. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

THE ROLE OF SOCIAL MEDIA IN RAISING HEALTH AWARENESS AMONG JORDANIAN UNIVERSITY STUDENTS DURING THE COVID-19 PANDEMIC

This research aims to find out how social media aided university students become more health conscious during the COVID-19 pandemic and the gratifications obtained from them. The researchers prepared a questionnaire that corresponds to the study's axis using a descriptive analytical approach. Its reliability, validity, and suitability for measuring the goals of this research were all verified. Students from Jordanian universities made up the study population, where the study sample was made up of 600 randomly selected individuals. The usage of social media helped increase students' awareness of their health during the COVID-19 pandemic. At the level of statistical significance (α = 0.05), differences in gender in favor of females, university type in favor of public universities, and level in favor of higher years were evident. The study made several key recommendations, some of which include working to develop mechanisms that restrict the spread of misleading information on each social media applications and platforms, the necessity of continuing to disseminate health awareness information in all of its forms, and the need to define the current situation and the most significant hazards of the coronavirus in the current period. © 2022 Science Press. All rights reserved.

An Analytical Approach to Predict the COVID-19 Death Rate in Bangladesh Utilizing Multiple Regression and SEIR Model

The epidemic of COVID-19 has turned out to be a huge fear for the world. There is currently no advisable drug or cure available to treat this condition. According to WHO statistics, COVID-19 has become a progressive lung illness that is spread by respiratory droplets and other forms of contact. According to WHO, there is still no treatment or defensive plan that has risen till the period to encounter the COVID- 19 pandemic that was arisen in China in late 2019. The purpose of our study is to predict the COVID-19 situation by analyzing the death rate, recovery rate, and susceptibility rate with the help of the regression model and SEIR model. Two analytical models (SEIR and Regression) have been used. Our analysis has shown the prediction of the COVID-19 death rate in Bangladesh with the help of a Regression and SEIR model. We have analyzed the instances per million, number of death rates per million from the SEIR and Regression results and compared them with the real-time result. We have used a valid data set of Bangladesh, collected from the Institute of Epidemiology, Disease Control and Research (ICR) from 18 March 2020 to July 18, 2021. Our experimental result shows promising performance. Examples and descriptions are provided to explain the technique. © 2021 IEEE.

Material Characterisation of William Burges’ Great Bookcase within the Disruption of a Global Pandemic

This contribution presents the results of a technical investigation on the pigments of William Burges’ Great Bookcase (1859–62), preserved at the Ashmolean Museum. It is the first thorough material investigation of a remarkable piece of Gothic Revival painted furniture, notably an artwork by Burges, whose work has so far received little attention from a technical point of view. This study was developed during the Covid-19 pandemic, which significantly affected the planned research activities since the investigation relied extensively on collaborations with institutions within and beyond the University of Oxford. The disruption caused by the lockdown and other restrictions went far beyond any prediction and led us to redefine the project’s outcome and methodology ‘on the fly’ while maintaining its overall vision. However, thanks to the timeliness of a substantial research grant received from the Capability for Collection Fund (CapCo, Art and Humanities Research Council), we could ultimately turn this research into a unique opportunity to test the potential of recently acquired instruments, namely the Opus Apollo infrared camera and the Bruker CRONO XRF mapping spectrometer. Therefore, besides reporting on the findings, this contribution outlines the strategy adopted and assesses the new equipment’s capability for the non-invasive analysis of complex polychromies. [ FROM AUTHOR]

Multi-perspective Characterization of Anaphylactic Risk for COVID-19 Vaccination - A Visual Analytic Approach

Currently, communications of the COVID-19 vaccine risk and benefit have been confusing and ineffective. This research presents a visual analytical approach to enable decision-driven, multi-perspective risk characterization of COVID-19 vaccination. Using data collected from Vaccine Adverse Event Reporting System (VAERS), we designed multiple-views dash-boards based on identified risk factors to support interactive explorations of anaphylactic risks from policy, clinical, and personal contexts. Based on the hypothetical scenarios, we showed that our visual analytical approach offers multiple benefits for risk characterization tasks, including flexibility in focusing on the subset of risk factors that are specific to user's decision context, exploring and assessing risk in multiple levels of details, and characterizing risk metrics together with uncertainties. Our method and tools have potentials of improving COVID-19 vaccine risk communication to address vaccine hesitancy and to inform public policy. © 2022 IEEE.

Analytical Approach Toward Face Mask Detection Using Artificial Intelligence Techniques

By continuous hike of the deadly COVID-19 pandemic, the lifestyle of an individual has switched and changed all over the globe. Every individual has found it necessary to use a face mask in these situations. Identifying individual is wearing a face mask is very challenging due to wave of the deadly COVID-19 pandemic. The author proposed an approach in this study review work that would limit the evolution of the COVID-19 virus by personal identification who is not covering up any face mask. Many pieces of research have showed that wearing a mask reduces the possible chance of viral transmission of this life-threatening coronavirus and provides a sense of protection. The research during this zone has hiked over the past years. A typical review of the literature is studied to evaluate whether or not human beings are wearing masks, and based on these reviews, a modified analysis is done to detect which approach is feasible. This review included various search methodologies, too many research papers were recognized out of which seventeen are relevant papers. This paper will assess the research progresses related to the facial masks of an individual. It also helps the author to review out the ongoing and the forthcoming scenario of this research which have been working on facial mask detection using artificial intelligence. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

How a Successful Implementation and Sustainable Growth of e-Commerce can be Achieved in Developing Countries;a Pathway Towards Green Economy

Apart from the goal of the digital world and other benefits of e-commerce, it becomes the need of time during this COVID-19 pandemic. Successful implementation and sustainable growth of e-commerce in developing countries is a challenge. The goal of the digital world without the implementation and sustainable growth of e-commerce in developing countries is incomplete. Based on UTAUT theory, we have developed an integrated model to study the developing countries' consumers' adoption intentions towards e-commerce. We collected a valid useable sample of 796 respondents from a developing country, applied the SEM-ANN two-step hybrid approach to testing the proposed hypothesis, and ranked the antecedents according to their importance. Results revealed that Trust in e-commerce, Perceived risk of using e-commerce, Ease of use in e-commerce, Curiosity about e-commerce, Facilitating Conditions, and Awareness of e-commerce benefits influence the adoption intentions of developing countries' consumers. Sensitivity analysis results revealed that Ease of use in e-commerce platforms and awareness of e-commerce benefits are the two most crucial factors behind the adoption intentions in developing countries. The study's findings help authorities adopt sustainable e-commerce, multinational companies effectively market their goods online, and academics better understand how inhabitants of developing nations perceive e-commerce.

The reality of electronic distance learning in the presence of COVID19 pandemic from Jordanian student perspective

This paper identify the reality of distance learning in the presence of the emerging corona pandemic "COVID 19" from the student point of view in the practice in Jordan student as case study. To achieve the aim of the study, the descriptive and analytical approach was used, whereby we prepare an electronic questionnaire that include 20 questions that were distributed electronically to a random sample of 318 students. The result of the study conclude the following: The importance of using e-learning systems in distance learning programs. Some difficulty face the student during the use of distance learning programs such as lack of resources. Student absence shows statistically significant differences at each student levels in responses of the sample student members. The results of the paper study recommend and encouraging the ministry of education in Jordan to benefit from e-learning technology to facilitate and improve educational learning practice. © 2021 IEEE.

RE-SIGNIFY the DOMESTIC SPACE in TIMES of CONFINEMENT from the APPLICATION of ETHNOGRAPHIC TOOLS and PERSONAL CENTERED DESIGN

The Covid-19 crisis has been described as the “greatest challenge that humankind has faced since the 2nd World War,” having an impact on health, society, and the global economy. Houses and domestic spaces are key sites through which COVID-19 is experienced, thus, an interdisciplinary approach is needed. The goal of this research project is to forge an analytical approach while experimenting with micro-ethnography and auto-ethnography tools to analyse how we inhabit the domestic spaces in complex situations of confinement imposition in order to arrive at an outward reflection from within. The project reflects on an innovative social experiment that opens up new paths of design provoking to help us rethink the domestic space. This paper has the objective to compile, compare and explain the processes and results around the characterization of the domestic space, centring on the person in times of confinement through an ethnographic approach. © PDE 2021.

A multi-method analytical approach to predicting young adults' intention to invest in mHealth during the COVID-19 pandemic.

Mobile-based health (mHealth) systems are proving to be a popular alternative to the traditional visits to healthcare providers. They can also be useful and effective in fighting the spread of infectious diseases, such as the COVID-19 pandemic. Even though young adults are the most prevalent mHealth user group, the relevant literature has overlooked their intention to invest in and use mHealth services. This study aims to investigate the predictors that influence young adults' intention to invest in mHealth (IINmH), particularly during the COVID-19 crisis, by designing a research methodology that incorporates both the health belief model (HBM) and the expectation-confirmation model (ECM). As an expansion of the integrated HBM-ECM model, this study proposes two additional predictors: mobile Internet speed and mobile Internet cost. A multi-method analytical approach, including partial least squares structural equation modelling (PLS-SEM), fuzzy-set qualitative comparative analysis (fsQCA), and machine learning (ML), was utilised together with a sample dataset of 558 respondents. The dataset-about young adults in Bangladesh with an experience of using mHealth-was obtained through a structured questionnaire to examine the complex causal relationships of the integrated model. The findings from PLS-SEM indicate that value-for-money, mobile Internet cost, health motivation, and confirmation of services all have a substantial impact on young adults' IINmH during the COVID-19 pandemic. At the same time, the fsQCA results indicate that a combination of predictors, instead of any individual predictor, had a significant impact on predicting IINmH. Among ML methods, the XGBoost classifier outperformed other classifiers in predicting the IINmH, which was then used to perform sensitivity analysis to determine the relevance of features. We expect this multi-method analytical approach to make a significant contribution to the mHealth domain as well as the broad information systems literature.