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The Graduates Statistics 2020 data from the Department of Statistics Malaysia (DOSM) reported a 4.4 per cent increase of graduates from 5.13 million in 2019 to 5.36 million students in 2020. However, in the same year, the Ministry of Higher Education revealed that the marketability of Malaysian graduates had declined from 86.2 per cent in 2019 to 84.4 per cent in 2020, due to the Covid-19 pandemic. Aligned with the issues, the Malaysian Ministry of Higher Education has endorsed entrepreneurship education in all higher education institutions as an initiative to encourage students to enrol in entrepreneurship courses and activities. This prompted the current study, which sought to determine the relationship between psychological capital (PsyCap), higher education institutions (HEIs), and entrepreneurial intention (EI) among Malaysian hospitality students. In the first phase of the current study, a quantitative study employing the sequential explanatory mixed method design was conducted via an online survey at five (5) public HEIs in Malaysia, yielding a total sample size of 297 participants. Partial Least Squares-Structural Equation Modelling (PLS-SEM) software was used to analyse the study's data structuring obtained via probability sampling. Semi-structured interviews were also conducted in the second phase of the current study to get in-depth view of the relevant skills of successful entrepreneurs. The data were analyses using NVIVO 12. The study has successfully purposed a model for entrepreneurship education, the Inspirational Hospitality Entrepreneurship Model (IHEM), which highlights the eight relevant skills to being a successful hospitality entrepreneur. Overall, the current study discovers that PsyCap has an impact on students' attitudes towards entrepreneurship. This study perhaps could benefits to stakeholders, specifically those in higher institutions, by validating the emerging need for hospitality students to be equipped with high spirit, high creativity, and a wealth of new ideas to produce more young hospitality entrepreneurs for Malaysia to be resilient in the future. © 2023,International Journal of Emerging Technologies in Learning. All Rights Reserved.
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This is a systematic literature review that discusses the contribution of fuzzy analytic (FA) and multi-criteria decision-making (MCDM) methods in classroom assessment. Due to a lack of knowledge and not being exposed to the importance and benefits of using computational intelligence approaches such as FA and MCDM, not many educators apply such methods. The issue of how it operates is also the cause of educators still adopting conventional assessment methods. Classroom assessment involves the orientation of data in the form of divergent, multiple, fuzzy, and terms of relation, so a more efficient approach to assessment is through modern mathematical methods and soft computing techniques as suggested by experts. This practical gap needs to be refined by providing a clear picture to educators about FA and MCDM as alternative assessment methods. Therefore, based on the PRISMA model, this systematic literature review is implemented to expose educators to the contribution of FA and MCDM in classroom assessment and conceptualize how to operate the method more easily and simply. Starting with article searches in several databases such as Google Scholar, ScienceDirect, and Elsevier using only specified keywords, 21 articles were selected for discussion after going through the steps of Identification, Screening, Eligibility and Included. Based on the findings, some aspects of assessment are very significant to be implemented using FA and MCDM, appropriate, more practical and show a meaningful contribution to classroom assessment. The conceptual model of the operation of FA and MCDM based on a summary of the workflow of selected studies can also help educators get insights and ideas to implement this alternative assessment method. This paper can prove that the computational intelligence approach greatly contributes to classroom assessment and if there are initiatives and facilitation implemented, surely educators can take advantage to strengthen the management and assessment of the classroom. © Iran University of Science and Technology 2022.
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Significant risks to human health are posed by the 2019 coronavirus illness (COVID-19). SARS coronavirus type 2 receptor, also known as the major enzyme in the renin-angiotensin system (RAS), angiotensin-converting enzyme 2 (ACE-2), connects COVID-19 and RAS. This study was conducted with the intention of determining whether or not RAS gene polymorphisms and ACE-2 (G8790A) play a part in the process of predicting susceptibility to infection with COVID-19. In this study 127 participants, 67 of whom were deemed by a physician to be in a severe state of illness, and 60 of whom were categorized as "healthy controls".The genetic study included an extraction of genomic DNA from blood samples of each covid 19 patients and healthy controls, then amplification the site of SNP (rs2285666) Within the ACE2 gene by using specific primers, sequencing PCR products, and genotyping to detect the role of the ACE-2 gene (rs2285666) in the incidence of COVID-19. ACE-2 (rs2285666) is statistically associated to COVID-19. The COVID-19 group had 65.67 %of individuals with the wild-type homozygous genotype (GG) and 20% in the control group, while the control group had 63.33% of individuals with the mutant genotype (AA). Consequently, the wild-type homozygous (GG) and allele (G) may be considered a risk factor (etiological fraction E. F) for COVID-19 in Iraqi patients, whereas the mutant homozygous (AA) and allele (A) may be considered a protective factor (preventive fraction). The findings of the present study reveal that carriers of the GG genotype of ACE2 (rs2285666) are substantially more susceptible to COVID-19.Copyright © 2023 Allami et al.
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Islamic social entrepreneurship (ISE) is an activity that can help the economy of the ummah in a country. Based on the vision and social mission to address the economic problems caused by the effects of Covid-19, social entrepreneurs need to act creatively and innovatively using the latest technological approaches in line with the development of the Industrial Revolution 4.0. There are three objectives of the study. First it will look at the challenges of the fourth industrial revolution in ISE in the Covid-19 era, secondly it identifies efforts that can be implemented by social entrepreneurs to address the issue of Covid-19;and third it will look at the role of government and institutions involved in helping to restore the economy to normalcy. The research methods used are content analysis of past research texts, theses and library studies. The findings of the study found that there are several challenges identified. Among these are the issues of attitudes, perceptions, legislation, knowledge, skills, costs and assistance. The steps that need to be implemented to resolve these issues are rehabilitation strategies, information provision, consultation, government support, entrepreneurial institutions, welfare and the cooperation of various parties directly or indirectly involved. Therefore, in-depth studies will be elaborated so that the challenges that occur can be overcome. © 2022, Penerbit Akademia Baru. All rights reserved.
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Corresponding to the current pandemic issue, Covid-19 has driven unprecedented economic loss and instability to many, particularly among low-income families, especially in Asia. In context, families involved single mothers who are markedly affected by job loss;thus, low-income households had markedly affected the well-being and development of children. In addition to family environment, sociodemographic variables, such as socioeconomic status, educational level of parents, and parental conflict, had also been associated with problematic or competent behaviors during childhood. This scoping review aimed to determine current knowledge regarding the impact of single motherhood on the emotional well-being of a child. This review was reported in accordance with the guidelines of the Preferred Reporting Items for Systematic reviews and Meta-Analyses extension for Scoping Reviews (PRISMA-ScR). Three databases, namely Scopus, Web of Science, and Education Resources Information Center (ERIC), were used for data scoping. A total of 341 studies were identified, but only 15 studies conducted in the Asian continent were eligible for selection. Results showed five significant findings concerning parent-child dysfunctional interaction, time spent, family socioeconomic status, parenting skills, and parental styles that impacted the emotional well-being of children, causing child development delay and delinquency.
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Living in a world of unstable and fluctuating economy has put children’s development at risk particularly children from low-income families. Hence their development should be on alert. The concern regarding online learning is crucial towards children’s emotional development as it can positively or negatively affect them. In the volatility, uncertainty, complexity, and ambiguity (VUCA), no other performance is relevant due to high-speed change. Children as young generations today have more disruptive behaviours causing adults to be fearful in dealing with their unruly behaviour. This study discovered the impact of the current environmental situation of uncertainty and parent-child relationship on children’s emotional development. In view of the COVID-19 pandemic restrictions and preventive measures, the study was conducted with parents’ consent using an online survey tool administered using Google Form. The quantitative survey comprised general population-CORE (GP-CORE) and perceived stress scale (PSS) questionnaires from 108 respondents studying in primary schools around urban areas in Selangor, Malaysia. The findings were analysed and described descriptively. Findings showed that children are greatly affected by parents’ job loss and low-income households’ instability, causing emotional stress when learning from home. Therefore, the study can be the mechanism to aid the educational system in emphasising emotional learning in school. © 2022, Intelektual Pustaka Media Utama. All rights reserved.
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To study the trade-off between economic, social and health outcomes in the management of a pandemic, DAEDALUS integrates a dynamic epidemiological model of SARS-CoV-2 transmission with a multi-sector economic model, reflecting sectoral heterogeneity in transmission and complex supply chains. The model identifies mitigation strategies that optimize economic production while constraining infections so that hospital capacity is not exceeded but allowing essential services, including much of the education sector, to remain active. The model differentiates closures by economic sector, keeping those sectors open that contribute little to transmission but much to economic output and those that produce essential services as intermediate or final consumption products. In an illustrative application to 63 sectors in the United Kingdom, the model achieves an economic gain of between £161 billion (24%) and £193 billion (29%) compared to a blanket lockdown of non-essential activities over six months. Although it has been designed for SARS-CoV-2, DAEDALUS is sufficiently flexible to be applicable to pandemics with different epidemiological characteristics. © 2022, The Author(s), under exclusive licence to Springer Nature America, Inc.
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The world is experiencing Covid-19. As the pace of rate of Covid infection 2019 (COVID-19) is quickly expanding in various pieces of world, a dependable conjecture for the aggregate affirmed cases and the quantity of passing can be useful for policymakers in settling on the choices for using accessible assets in the country. The widespread of Covid 19 spoilage the world, with the highest loss of lives in US. To reduce the number of Covid-19 affected population, Vaccine are available in public domain. Some Covid 19 Vaccines are currently in human trials. For the effective result of Covid 19 Vaccine, it must be accepted by maximum number of population. A survey was conducted to analyze the health effect of the vaccine in different category of people. Information was collected such as demographic data (age, sex, gender, marital status), mental condition of people before vaccination, tobacco/smoking, alcohol consumption, people suffering from any prior disease, labour group, people taking precaution medicine after vaccination, prepare for second dose of vaccination. Using these given information we have applied machine learning algorithms to predict if the individual will take the second dose of Covid-19 vaccine or not. © 2022 IEEE.
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The plastic industry is one of the biggest and essential industries, ranging from domestic to engineering products. Nowadays, plastic waste is one of the major issues human-faced worldwide. It is predicted to worsen due to the increment in online purchasing rising from the Covid-19 situations. On the other hand, the construction industry is the largest industry in different economies and the highest consumer of raw materials. Along with the growing demand for concrete aggregates, natural stone materials are overused and eventually deplete resources. Both severe problems can be mitigated by recycling these plastic wastes to serve as an alternative to aggregates in concrete. Despite accumulative efforts, the produced plastic waste aggregates (PWA) is still inferior in strengthening the concrete due to poor interaction between both particles. Therefore, steps to further improving their properties and compatibility with concrete through various approaches are crucial. This review briefly introduces the current situation of concrete industries and global plastic waste accumulation issues. The efforts in the utilization of plastic waste aggregates in concrete alongside their properties are also discussed. Lastly, the water-assisted melt compounding and advantages in the processing of thermoplastic composites are also presented to serve as the platform for a new processing approach to be utilized in PWA production. Therefore, a better insight into the potential of producing PWA with improved physical, mechanical properties corresponds to the enhancing concrete strength via water-assisted melt compounding is offered. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
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Purpose: The purpose of this study is to address the global COVID-19 pandemic related to its sustainability, such as environmental, economic and social concerns. The short study also examined how various innovative approaches can help promote sustainable production. Design/methodology/approach: The methodology examines hypothetical scenarios of the current pandemic and tries to describe the quality of evidence to facilitate careful, critical engagement by readers. Secondary data is used to identify sustainability challenges, such as environmental, social and economic viability challenges. The information in this report was gathered from numerous media outlets, research agencies, policy papers, newspapers and other sources to gain a better knowledge of the issue. Findings: As a result, most industry executives and policymakers are looking for appropriate strategies and policies to improve their practices and meet consumer demand. The outcomes explore that the COVID-19 pandemic is a central factor in changes in people’s behavior, reflecting sustainability such as environmental, social and economic responsibility. The COVID-19 outbreak, surprisingly, had a bigger effect on sustainable consumption, accompanied by environmental sustainability, and, to a lesser extent, social and economic viability. Research limitations/implications: Limited secondary evidence and data could not scrutinize the study’s actual problem statements. Hence, it is recommended that the gap in research be fulfilled by conducting a primary survey among various groups of economists, environmentalists and industrialists using the cluster sampling technique by validating the questionnaire of the total sustainable production system. Proposing frameworks for improving the resilience of production and a systematic possible upgraded manufacturing system by using the Industry 4.0 technology during operational processes could advance market demand. Practical implications: The COVID-19 scenario has compelled manufacturing firms to put their production systems on hold for an extended period while they seek long-term solutions to assure simple delivery and cooperation from both business and consumer standpoints. Various aspects of supply and demand are discussed in the referendum, as well as production and consumption challenges during the COVID-19 era. There is a need to restore the production system and find the right source of raw materials. This work focuses on commodity inventory management systems due to mass production, but due to pandemics, it is not in demand and vice versa. The researcher made comprehensible remarks on the use of digitization in the pandemic, which improves social distancing and social well-being and promotes the production system as well. Besides, manufacturing plants should switch to digital manufacturing to reduce the number of workplaces and hence the risk of an outbreak. Therefore, a better supply chain network is needed to supply more manufacturing units. Social implications: There is a bright side of coronavirus that the public health crisis raised worldwide has brought many opportunities for governments and society to make eternal reforms in the public health sector door. During restricted movements for fulfilling market demand, the Industry 4.0 technologies for automation, mechanization and digitalization can help significantly advance a company. This technological advancement and computer digitization for the perspective people may improve the environment, economic and social sustainability also increase social media adoption, which can be crucial for agri-businesses to evaluate customers’ behavior and consumption trends. Originality/value: The paper also instructed to identify critical success factors, barriers and drivers for dealing with the pandemic situation and to develop a strategic policy framework to improve production and process flexibility through the remarkable introduction of digital manufacturing. Before it is too late to stop the spread, producers and consumers must grasp the limits to which suppliers might drive nature. © 2021, Emerald Publishing Limited.
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Background Detection of the viral nucleic acid is the cornerstone to diagnose the novel coronavirus disease 2019 (COVID-19). Due to the limited resources, the clinical and laboratory biomarkers will help in the early and differential diagnosis of severe acute respiratory syndrome coronavirus 2 infection and predict the prognosis of the disease. These findings in patients with pneumonia include fatigue, dry cough, low-grade fever, along with normal white blood cell count, decreased lymphocyte count, and high C-reactive protein (CRP) and D-dimer levels. Chest computed tomography (CT) severity score relies on the opacification of lungs as a proof for disease extension. Several studies have settled the importance of CT chest in the diagnosis and follow up of COVID-19 patients. Otherwise, many scientific societies have disclaimed the routine CT screening of these patients. Hence, it is important to correlate the CT severity score in positive PCR COVID-19 patients to their laboratory findings to minimize the need of frequent CT chest as a tool of follow-up. Patients and methods The study included 198 positive PCR for COVID-19 health-care workers including physicians, nurses, employees, and workers of Ain Shams University Hospitals, who sought medical advice at the Chest OPC or the ER triage or through teleconsultations. Patients underwent history taking, laboratory workup including complete blood count with differential, serum ferritin, CRP, D-dimer levels, and high-resolution CT chest. Results The study included 198 health-care workers including physicians, nurses, employees, and workers of Ain Shams University Hospitals with 106 of them being females and 92 males. The age range of the included patients is from 21 years up to 85 years. The cases were classified according to their CT severity score into normal CT chest with 47.5% of cases, mild CT findings representing 21.2%, 34 patients with moderate findings in CT, and those with severe score were 28 patients. A significant relation was found between the age and CT severity score with P value less than 0.001. The severity score was higher in cases with lower total leukocyte count and lymphocytes with significant relation and the P value was less than 0.001. The median CRP and ferritin level show a highly significant relation with the CT severity score. A highly significant relationship was found between severity score and D-dimer level of patients with a P value of less than 0.001. Conclusion This work sets a semiquantitative framework to assess and follow up the severity of COVID-19 disease. This score could be possibly used to facilitate the clinical triage of COVID-19 moderate to severe patients, requiring admission in hospitals in relation to laboratory findings. Also, it could be used to evaluate the severity of lung involvement in patients objectively and quickly. However, it was proposed that the use of laboratory results is of value in the follow up of the cases to limit the exposure to radiations.
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Introduction: The SARS-CoV-2 infection has been associated with new-onset arrhythmias. Newonset tachyarrhythmias including atrial fibrillation, atrial flutter, and ventricular tachycardias (VT) have been reported from different retrospective studies. It is proposed that new-onset arrhythmias are likely associated with systemic illness, and not only triggered by SARS-CoV-2 infection. Hypothesis: We hypothesized that patients who were admitted to the ICU/CCU level of care were more likely to have new-onset tachyarrhythmias vs hospitalized patients who were not admitted to the ICU/CCU. Methods: This is a multi-center retrospective study. The RT-PCR confirmed adult COVID-19 patients consecutively admitted from March 1st to April 30, 2020, were included. Demographic characteristics, comorbidities, and the onset of new arrhythmias were manually extracted from EMR. Categorical variables are shown in percentages;continuous variables are shown in mean (SD). Data were extracted manually using the hospital's electronic medical record. Categorical variables were compared using the chi-square test;continuous variables were compared using the t-test (with equal variance assumption). P-value <0.05 was considered significant. Results: A total of 720 patients were admitted to the hospital. Of these, 11% had new-onset tachyarrhythmias. The onset of new tachyarrhythmias was significantly high in patients who were admitted to ICU/CCU vs non-ICU setting (p-value, <0.001). 13% of patients admitted to ICU/CCU developed new-onset atrial fibrillation vs 7% in the non-ICU setting. 1.5% developed new-onset atrial flutter in ICU/CCU setting vs 1% in the non-ICU setting. Incidence of VT and VF were also higher in ICU/CCU settings. Table1 Conclusions: Patients who were hospitalized with COVID-19 and received ICU/CCU level care were more likely to develop new-onset tachyarrhythmias.
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Background: As of August 2021, every region of the world has been affected by the COVID-19 pandemic, with more than 196,000,000 cases worldwide. Methods: We analysed COVID-19 cases among travellers from mainland China to different regions and countries, comparing the region- and country-specific rates of detected and confirmed cases per flight volume to estimate the relative sensitivity of surveillance in different regions and countries. Results: Although travel restrictions from Wuhan City and other cities across China may have reduced the absolute number of travellers to and from China, we estimated that up to 70% (95% CI: 54% - 80%) of imported cases could remain undetected relative to the sensitivity of surveillance in Singapore. The percentage of undetected imported cases rises to 75% (95% CI 66% - 82%) when comparing to the surveillance sensitivity in multiple countries. Conclusions: Our analysis shows that a large number of COVID-19 cases remain undetected across the world. These undetected cases potentially resulted in multiple chains of human-to-human transmission outside mainland China. © 2021 Bhatia S et al.
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Background: Since the start of the COVID-19 epidemic in late 2019, there have been more than 152 affected regions and countries with over 110,000 confirmed cases outside mainland China.
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The objective of this present research was to reveal how the postgraduate student perceive of or respond to the online learning process. Quantitative method was adopted in this present research. The results showed that most students who had experienced of the online learning activities encountered some obstacles because they had never conducted Learning From Home (LFH) activities before. The respondents were 428 postgraduate students who actively joined in the LFH activities. There were 316 students used the platform Zoom as the supporting application in the LFH activities. Respondents filled in Google Form, then the collected data could be quickly and accurately processed. Other respondents preferred Google Classroom, WhatsApp and other applications in following the learning activities according to the agreement and features provided in each platform. There were 408 respondents experienced Two-ways communication between the lecturers and the students during the LFH activities. They stated that the limited internet network hindered the online lecturing. There were 31 respondents declared that technology limitations hampered the online lecturing and 105 students revealed that it is the limitations in using the application that caused the online lecturing to become obstacles. © 2021, Institute of Advanced Engineering and Science. All rights reserved.
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The appearance of Covid-19 proves the deficiency of world health care systems to handle exponentially infected-patients and to deal with lack of personal health records (PHR). As it is known, data is valuable in such situation. Current solutions for storing and sharing PHR data adopt centralized solutions, such as cloud-based totally centralized data centers, which requires a fully-trusted third party. Therefore, it suffers from single point of failure, data deleting and network delay. To overcome these issues, we propose in this paper a Blockchain-based secure PHR data storage and sharing framework that leverages the benefits of IPFS (Inter Planetary File System). Our aim is to ensure privacy with patient full control over his data and to enhance scalability. To this end, we use steganography to hide sensitive data within PHR data, and then it is uploaded to IPFS network. However, IPFS Hash delivered by IPFS network is divided into n secret shares using Shamir's Secret Sharing (SSS) algorithm, which ensures security. Moreover, Ethereum smart contract automates the execution of access control strategies defined by the owner, as well as, traceability and auditability insurance. © 2021 IEEE.
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Novel coronavirus-2019 (nCoV-2019) emerged as a potentially infectious respiratory disease caused by newly discovered β-coronavirus. nCoV-19 has emerged as a global pandemic due to the rapid transmission and high infection rate commonly involved in acute respiratory ill-ness. Literature search includes various databases like Google Scholar, PubMed, ScienceDirect, and Scopus for studies published using a different combination of keywords “coronavius”, “COVID-19”, “SARS”, “MERS”, “antiviral drugs”, “vaccines”, and “immunity”. We collected epidemiology data from the Worldometer portal (data available till 9 October, 2020). Fever, dry cough, dyspnea, sore throat, or fatigue are common clinical symptoms of the infection. Cytotoxic T-cells and T-helper cells plus Cytotoxic T cells (CD8+) account for maximum (approximately 80%) of total infiltrate in the pulmonary region of the affected nCoV individuals and act as a significant contributor to the clearance of the infection. This review intends to outline the literature con-cerning the mode of actual transmission, immune response, and possible therapeutic approach against the virus. © 2020 Bentham Science Publishers.