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Drawing on the social exchange approach and an accompanying sub-theory pertaining to upper echelons theory, which are the most influential theories for describing the behavior of workers in the workplace, this study empirically investigates some corresponding moderated serial mediation variables, such as affective commitment, work meaningfulness, and perceived organizational support, which impact the relationship between Phoenix leadership and organizational change. A total of 150 employees working in the Sudanese Electricity Company participated in the questionnaire survey. The response rate was 88%. The results revealed that Phoenix leadership significantly influences organizational change and affective commitment. Affective commitment significantly influences work meaningfulness. Affective commitment and work meaningfulness mediate the relationship between Phoenix leadership and organizational change. Affective commitment mediates the relationship between Phoenix leadership and work meaningfulness. Work meaningfulness mediates the relationship between affective commitment and organizational change, but perceived organizational support does not moderate the relationship between work meaningfulness and organizational change. By testing the mediated moderation effects on the relationship between Phoenix leadership and organizational change, this research proposes a new framework for assessing the impact of mediators and moderators on teams of employees during the COVID-19 pandemic.(c) CIKD Publishing
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OBJECTIVE: Post-COVID-19 patients complained of pain, fatigue, breathlessness, and reduction in quality of life which required planned intervention. This study aimed to compare the impact of 10 weeks of low vs. moderate-intensity aerobic training on physical fitness, psychological status, and quality of life in post-COVID-19 older subjects. PATIENTS AND METHODS: 72 patients were randomized into 3 equal groups, moderate-intensity exercise (MIG, n = 24), low-intensity exercise (LIG, n = 24), and control group (CG, n = 24). The exercise was done 40 min/4 times per week for 10 weeks. We measured exercise capacity using the six-minute walking test, 1 min sit-to-stand test, post-COVID-19 functional scale (PCFS), and quality of life using the SF-36 questionnaire and HAMILTON Anxiety and Depression Scale (HADS). RESULTS: There was no difference between groups regarding the demographic and most clinical characteristics of the subjects. Compared with CG there were statistically significant improvements in studying groups (MIG and LIG) with (p < 0.05) in most outcomes and the improvement was higher in MIG than in LIG in most outcomes. CONCLUSIONS: 10-week moderate-intensity and low-intensity aerobic training programs are effective with superior effect to moderate-intensity. Moderate-intensity aerobic exercise is more effective and feasible in post-discharge COVID-19 older subjects regarding exercise capacity, quality of life, and psychological status than low-intensity aerobic exercise.
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COVID-19 , Quality of Life , Humans , Aftercare , Patient Discharge , Exercise , Exercise TherapyABSTRACT
Cybercrime is a growing concern, particularly in this COVID-19 era. The COVID-19 outbreak has shown the significant impact potential of such crises on our daily lives worldwide. Phishing is a social engineering crime that can cause financial and reputational damages such as data loss, personal identity theft, money loss, financial account credential theft, etc., to people and organizations. In the recent outbreak of the COVID-19 pandemic, many companies and organizations have changed their working conditions, moved to an online environment workspace, and implemented the Work From Home (WFH) business model that increases the phishing attacks vectors and risk of breaching internal data. In this paper, we have extracted nine efficient features from the URLs and applied seven different Machine Learning algorithms to recognize phishing URLs. Machine learning algorithms are often used to detect phishing attacks more accurately before affecting users. The obtained result concludes that the Random Forest model provides the best and highest accuracy of 95.2%. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.
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During pandemic different kind of virus is spread through contact. Exchange of different goods, documents and different components need to be transfer from one place to other place or country to country through courier / postal service. For the protection of front desk or office people from the pandemic, we can design a conveyor belt at front desk of courier offices. In this conveyor belt we can arrange barcode readers, microcontroller interface actuators, and GSM shields. Such that at front office employees need not to touch the objects. They generate a barcode for customer, customer need to place the barcode sheet on their consignment and keep on the conveyor belt. This conveyor belt will guide the consignment based on barcode reader and it can separate the consignments for local and international transfer. And any objection for the consignment an SMS will be sent to correspondent customer. © 2022 IEEE.
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Covid-19 has been marked as a pandemic worldwide caused by the SARS-CoV-2 virus. Different studies are being conducted with a view to preventing and lessening the infections caused by covid-19. In future, many other wind-borne diseases may also appear and even emerge as "pandemic”. To prevent this, various measures should be an integral part of our daily life such as wearing face masks. It is tough to manually ensure individuals safety. The goal of this paper is to automate the process of contactless surveillance so that substantial prevention can be ensured against all kinds of wind-borne diseases. For automating the process, real time analysis and object detection is a must for which deep learning is the most efficient approach. In this paper, a deep learning model is used to check if a person takes any preventive measures. In our experimental analysis, we considered real time face mask detection as a preventive measure. We proposed a new face mask detection dataset. The accuracy of detecting a face mask along with the identity of a person achieved accuracy of 99.5%. The proposed model decreases time consumption as no human intervention is needed to check an individual person. This model helps to decrease infection risk by using a contactless automation system. © 2022,International Journal of Advanced Computer Science and Applications. All Rights Reserved.
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In Malaysia, urban agriculture activity is getting popular, especially during the pandemic of Covid-19. As the pandemic struck, the economic situation in Malaysia faced a downturn. Rapid urbanization, slow income growth, and unstable food prices in the market are the major problem faced by urban dwellers nowadays. This study discussed the intention to implement among urban dwellers in the southern region of Malaysia and the benefits of urban agriculture that influence their intention. The study employs quantitative analysis and was based on the primary data collected via face-to-face and distributed google form in 5 urban areas in 3 states in the southern region of Malaysia. The total sample size was 214 urban dwellers. Intention level analysis, Correlation analysis, and exploratory factor analysis were used in the study to achieve the objectives. The study shows that the majority of the respondents have moderate to high intention levels. The results indicate a positive relationship between the benefits of urban agriculture and the implementation intention of urban dwellers at a 0.01 significant level. The results also indicate 3 factors that affect the intention to implement which are financial, social, and environmental.
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Despite numerous efforts by the Malaysian Ministry of Education to raise educational quality especially in the wake of the Covid 19 pandemic, the number of low-performing pupils in Malaysian schools remains a serious concern. Additionally, the number of pupils’ dropping out has increased during the period of online facilitation. This qualitative case study examines factors contributing to poor academic achievement among low performing pupils. Also, it explored the strategies to overcome those factors. Sampling was purposeful as this study required the views of both those who were directly part of the low-performing group either as students or educators. Five teachers and five low academic performing pupils were chosen as participants from a Malaysian primary school. Data was gathered through scheduled semi-structured interviews with teachers and pupils. The study sought to explore the factors that contribute to poor academic achievement, and those which are frequently overlooked. The findings revealed that the main factors related to pupils with low academic performance, were lack of family or parental support, financial issues, motivation, learning facilities, interaction, equality and teaching techniques. These findings will help teachers, school administrators, curriculum designers and developers to plan new teaching and learning strategies in their classrooms. © 2022,Asian Journal of University Education. All Rights Reserved.
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E-consumer rights aim to provide consumers and sellers a fair opportunity when dealing online, which requires both parties to know their rights and ethics. Therefore, the purpose of this study is to verify the impact of consumer rights available on reputed online store websites in Saudi Arabia (KSA) on the customer service, using expectation confirmation theory (ECT). A random sampling technique was used for primary data collection from a sample size of 152 faculty members. IBM Software Package for Social Sciences SPSS-26 and structural equation modeling (SEM) LISREL software programs were used for data analysis. The findings show that e-consumer rights have positive and significant effects on customers’ e-reliability and e-responsiveness. In addition, consumers’ income significantly influences their e-responsiveness, while the number of e-dealings per month significantly influences both e-reliability and e-responsiveness. The results of the study also provide an inventory of eight reasons why consumers prefer to deal with local electronic stores over foreign ones. Based on these findings, theoretical importance, practical implications, and suggestions for future research are discussed. © 2022, Growing Science. All rights reserved.
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Background: The end of 2019 marked the beginning of the global pandemic COVID-19. With this global issue, all the fields of society became stagnant. The education system is no exception to it. Education sector suffered as students were sent back to homes and schools, colleges and universities were shut down. But steps were taken and the education teaching system was shifted from offline to online mode. This research project examines the educational pedagogy which has been adapted in online mode of teaching due to post COVID-19 lockdown. It seeks to discover the pros and cons of online teaching vis-a-vis the ways of offline conduct of classes. The data for the project has been gathered in the form of an online survey in which both teachers and students were given questionnaires which are used to map and understand different pedagogical choices during online teaching. It also tries to highlight the comparative value, compatibility and usefulness of digital mode of learning. © 2022.
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By integrating the technology acceptance model, the theory of planned behavior, and regulatory focus theory, this study assesses the mediating role of technology perception attributes (i.e., perceived ease of use and perceived usefulness) in the relationship between customer experience and the adoption of e-payment cards during the COVID-19 pandemic in Sudan. A questionnaire survey was conducted with 368 e-payment users in Khartoum and Southern Darfur, the two most highly populated states in Sudan. This study employed convenience sampling and quantitative methodology to clarify the relationship based on structural equation modeling. The empirical findings showed that the customer experience dimensions of cognition and emotion had a significant influence in e-payment adoption and technology perception. Further, they indicated that technology perception had a significant mediating role in the relationship between customer experience and e-payment adoption. © 2021 Growing Science Ltd. All rights reserved.
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The research results in the last two decades show the important role of pekarangan as a micro-scale landscape unit in providing space for growing various types of plants, i.e., multi-layers from the grasses to the trees, livestock, and fish. Pekarangan is defined with distinctive spatial patterns and elements as a representation of the harmonious relationship between the owner and the ecological character. Perceptions and preferences based on different social, cultural, and environmental factors shape the pekarangan pattern and function to become more diverse as a form of community local wisdom. The important role of pekarangan needs to be deeper elaborated in efforts to increase community immunity during the Covid-19 pandemic. Pekarangan has great potential to be developed as a mitigation and rehabilitation space by providing a variety of medicinal plants as well as outdoor activity spaces with a healthy environment quality. This research was designed for three years with three main approaches: (1) inductive method, which focuses on building theory from practices that have been known and carried out for generations, (2) implementation as an effort to actualize local knowledge, (3) multiplicative for the benefit of the important value of pekarangan. Studies start from basic research of pekarangan;research on the development of spatial planning and elements forming pekarangan;research on nutritional content contributed from pekarangan products. Data were obtained through pekarangan mapping, structured questionnaires at four selected locations in Cisadane, Citarum, Kali Progo, and Brantas Watersheds. The results of this research are expected to be implemented in public spaces on a meso scale and macro scales.
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Due to its geographical condition and geophysical location Bangladesh is one of the world’s most vulnerable country, which will become more vulnerable to the impact of climate change. According to the Global Climate Risk Index 2020 and Intergovernmental Panel on Climate Change (IPCC) 2011, Bangladesh is the seventh most climate change-affected nation in the world. This chapter elaborates on the possible impacts of climate change in Bangladesh through various natural disasters, i.e., increasing temperature, sea level rise, salinity intrusion, cyclone, storm surges, drought, etc. and also discusses the comprehensive disaster management approach in Bangladesh. It is now a worry in the scientific community that climate change could dramatically change weather patterns like the disease spread of epidemics (such as COVID-19) from vulnerable regions to invulnerable regions. All sectors will be affected by the impact of climate change, not only Bangladesh but also other South Asian countries. In Bangladesh, both the government and nongovernmental organizations (NGOs) are trying to prevent and alter the impacts of climate change by enhancing several adaptation and mitigation approaches. But still, coastal districts and northern areas in Bangladesh are facing many climatic issues, such as flash floods, super cyclones, salinity intrusion, storm surges, drought and riverbank erosion etc. Moreover, the government is taking the immediate response of shifting people in a cyclone center at the moment of extreme natural events but most of the peoples of the coastal districts in Bangladesh are illiterate so that they very careless about the awareness. On the basis of current information, it is suggested that the government should make some policy in disaster management for a sustainable solution for coastal areas in Bangladesh. © 2021, SpringerNature Switzerland AG.
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COVID-19 is a pandemic disease caused by the SARS-CoV-2, which continues to cause global health and economic problems since emerging in China in late 2019. Until now, there are no standard antiviral treatments. Thus, several strategies were adopted to minimize virus transmission, such as social distancing, face covering protection and hand hygiene. Rhamnolipids are glycolipids produced formally by Pseudomonas aeruginosa and as biosurfactants, they were shown to have broad antimicrobial activity. In this study, we investigated the antimicrobial activity of rhamnolipids against selected multidrug resistant bacteria and SARS-CoV-2. Rhamnolipids were produced by growing Pseudomonas aeruginosa strain LeS3 in a new medium formulated from chicken carcass soup. The isolated rhamnolipids were characterized for their molecular composition, formulated into nano-micelles, and the antibacterial activity of the nano-micelles was demonstrated in vitro against both Gram-negative and Gram-positive drug resistant bacteria. In silico studies docking rhamnolipids to structural and non-structural proteins of SARS-CoV-2 was also performed. We demonstrated the efficient and specific interaction of rhamnolipids with the active sites of these proteins. Additionally, the computational studies suggested that rhamnolipids have membrane permeability activity. Thus, the obtained results indicate that SARS-CoV-2 could be another target of rhamnolipids and could find utility in the fight against COVID-19, a future perspective to be considered.
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The coronavirus (COVID-19) pandemic has challenged the established societal structure, and the transportation sector is not out of this new normal. The primary objective of this research is to analyze and review the performance of software models used for extracting and processing large-scale data from Twitter streams related to COVID-19. The study extends the previous research efforts of machine learning applications on social media by providing a review of contemporary tools, including their computing maturity, and their potential usefulness. The paper also provides an open data repository for the processed data frames to facilitate the swift development of new transportation research. Transportation researchers and the American Society of Civil Engineers (ASCE) community are believed to benefit from this study. © ASCE
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The novel human coronavirus disease (COVID-19) is the major pandemic throughout the globe and its occurrence is due to the presence of severe acute respiratory syndrome coronavirus (SARS-CoV2). That began from Wuhan, Hubei province of China in late 2019 and afterward drastically spread worldwide. It effects around 213 countries and territories around the globe and have reported a total of 8,128,490 confirmed cases of COVID-19. As an unprecedented global pandemic it sweeps the planet and affects each and every human being either physically, mentally or economically. The most common symptoms of COVID-19 are pyrexia, tiredness, and dry cough but in some cases it is asymptomatic. It can be diagnosed by a health care provider based on symptoms and confirmed through laboratory tests. Till date there is not even a single drug or vaccine that can be used for the effective treatment for this disease. The international community is to introduce a global synchronized strength to prevent the outbreak that needs a strong public health response, high level political commitment and sufficient funding. The aim of this review article is to summarise the recent state of awareness, epidemiology and social impact on surrounding due to outbreak of COVID-19 pandemic.