Playing the video games during COVID-19 pandemic and its effects on player's well-being

COVID-19 affected our lives intensly. That state of affairs made humans helpless. They had been depressed and experienced loneliness. At that time many human beings were determined to play video games just to loosen up their minds. Many games changed into an additional source of revenue wherein during COVID-19 they were playing while earning money. With these advantages, there were also some poor effects was accrued. A number of players remained playing video games post COVID-19. The carried out survey is based on the social video games results on players' well-being and additionally on the effects of gamers' health and their sensible lifestyles. We are going to investigate the behavior of gamers engaged with video games during the COVID-19 lockdown and the video games affects on their well-being, the time they served in playing video games, and the consequential effect on their behavior and social and mental well-being. The results provide a start line for empirically grounded discussions on video games at some stage in the pandemic, their use, and potential outcomes. Different agegroups of players have been investigated. Most players are between 18 and 30 years. A number of the gamers during lock down played a few hours but most of players were males who spent most of their day playing video games. However, now the ratio of playing video games is reduced as examined with past circumstances. Roughly we can say that the condition as a whole is better, the reason why players enforced video games in their post COVID-19 practical life1. © 2023 IEEE.

Molecular Insights of Marine Algal Polycyclic Aromatic Compounds as Promising Anti-Viral Agents for Targeting SARS-CoV-2 Proteins–an in Silico Validation

In this study, in silico SARS-CoV-2 inhibitory potential of 19 marine algal polycyclic aromatic compounds plus three commercial anti-viral drug were validated comparatively against three target proteins. Among 19 marine algal compounds apigenin-7-O-neohesperidoside,dieckol, luteolin-7-rutinoside, oxoglyantrypine, hydroxypentafuhalol A, and pseudopentafuhalol B exhibited good binding affinity of toward all three screened targets (Mpro, RdRp, and spike protein) of SARS-CoV-2 shortlisted for further In silico virtual screening analysis. Complete docking interaction analysis indicates that apigenin-7-O-neohesperidoside, dieckol, luteolin-7-rutinoside compounds display very excellent binding and inhibitory potential against the all three screened targets of SAR-CoV-2 among 19 screened marine algal compounds than standard anti-viral drugs. DFT analysis affirms the essential Homo-Lumo orbital energies of apigenin-7-O-neohesperidoside to inhibit targets of SARS-CoV-2. Further in silico analysis confirmed three chosen marine algal compounds are showing their excellent pharmacokinetic and molecular electrostatic potentials (MEPs) toward targets of SARS-CoV-2. MD simulation analysis of three chosen marine algal compounds possesses best simulation trajectories toward the binding pocket of target proteins essential to inhibit SARS-CoV-2 multiplication comparatively standard anti-viral drugs possess lesser binding affinity. However, further human clinical trials are necessary to justify their clinical pertinence. © 2023 Taylor & Francis Group, LLC.

Internet of Things (IoT) in Smart Cities: A Statistical Survey

Internet of things is progressing very rapidly and involving multiple domains of everyday life including environment, governance, healthcare system, transportation system, energy management system, etc. smart city is a platform for collecting and storing the information that is accessed through various sensor-based IoT devices and make their information available in required and authorized domains. This interoperability can be achieved by semantic web technology. In this paper, I have reviewed multiple papers related to IoT in Smart Cities and presented a comparison among the semantic parameters. Moreover, I've presented my future domain of research which is about delivering the COVID-19 patients report to the concerned domains by the healthcare system domain. © 2023 IEEE.

Evaluation of international logistics and supply chain disruption during the COVID-19 pandemic through scientometric techniques

This study unwraps the detailed literature review and highlights the development in growing research on behalf of the .supply chain in the era of COVID-19. Earlier research on different disasters shows that there is a lack of research on pandemics. Therefore, the present study signifies the multi-perspective literature review on behalf of the supply chain associated with COVID-19. Further, to analyze the literature of this study from a broad perspective, the science mapping approach and the quantitative analysis were conducted on the basis of bibliometric references that were extracted from the web of science. © 2023, IGI Global. All rights reserved.

Prevalence of COVID-19 Vaccine Hesitancy in South Asia: A Systematic Review and Meta-Analysis

Vaccine uptake and coverage in susceptible populations are needed through effective vaccination campaigns to address the COVID-19 pandemic in South Asian countries. We aimed to measure the pooled proportion of COVID-19 vaccine hesitancy in this regard. Research articles published between January 1, 2020, to December 31, 2021, were searched through Medline, PubMed, Cochrane, Google Scholar, and the WHO COVID-19 database. The Joanna Briggs Institute (2014) tool for prevalence studies was used to assess data quality. We performed a meta-regression test and a sensitive analysis among the studies and used the DerSimonian and Laird random-effects model to measure the pooled effect estimates. Subgroup analyses were performed concerning vaccine hesitancy, countries, study population, study level, and the time since the first outbreak of the pandemic. A total of 43 studies out of 598 published articles across the eight countries in South Asia were included. The pooled proportion of COVID-19 vaccine hesitancy was 26.5% (95% CI [22, 31], I2 = 99.59%). Vaccine hesitancy was higher in Afghanistan (37%), Pakistan (33%), and Bangladesh (28.9%);among the general population (29%);at community levels (27.9%);and the duration of time of 1–12 months since the first outbreak in each country (27.5%). Vaccine hesitancy exists in South Asia with different rates among countries, population sub-groups, communities, study-levels, duration of time since the first outbreak, and study population. Therefore, enhancing public awareness of vaccination and vaccine hesitancy is required to prevent future pandemics. © 2023,Journal of Population and Social Studies. All Rights Reserved.

Data Visualization for Corona Patients Globally using Real-Time APIs

All the nations' administrative units are concerned about the COVID-19 outbreak in different regions of the world. India is also trying to control the spread of the virus with strict measures and has managed to slow down its growth rate. The administration of each country faces the challenge of maintaining records of corona patients. To address this challenge, this work builds a website from scratch using real-time APIs for data visualization. The website provides information on the number of active cases, death cases, recovery cases, and total cases of COVID-19 patients in each country. The data can be visualized using graphs, making it easier to compare the situation in different countries. The website allows for monitoring which country has a higher number of deaths, patients, favorable recovery rates, and a large number of active cases. The COVID-19 status regarding patients can be analyzed through graphical representation using real-time data. © 2023 IEEE.

Skill and knowledge requirements of entry-level logistics professionals in the apparel industry of Bangladesh: an importance-expertise matrix analysis

This paper provides an assessment of the skills needed for entry-level logistics professionals in Bangladesh's apparel industry and suggests the critical skill areas that require improvement. Two studies were conducted to get the responses from supply chain and logistics professionals who have direct interactions with entry-level logistics professionals in the workplace. In study 1, an Importance-Expertise Matrix (IEM) analysis was conducted to provide an assessment of the relative importance and expertise of 40 skill items and investigate the skill gaps. The results reveal that 27.5% of the skill items have a noticeable gap between their importance and expertise level, indicating further improvement is needed. In Study 2, a qualitative approach was used, and the findings reinforced those of Study 1 and offered new and important information about skill and knowledge requirements amid the COVID-19 pandemic. This research offers implications for the apparel industry, academia, policymakers, and training agencies in Bangladesh.

COVID-19 Versus Diabetes Mellitus: Whom Affect the Other?

Diabetes is considered as a precipitating factor for the poor outcomes of COVID-19. Patients with diabetes had a 2.5-3.9 times higher odds of being infected. Viral infection in diabetic patients could be harder to treat due to fluctuations in blood glucose levels. Their compromised immune system leads to a longer duration of recovery. Furthermore, poorly controlled diabetes impairs the immune response to viral infections. C-reactive protein, IL-6, and D-dimer are inflammatory biomarkers elevated among diabetic patients infected with COVID-19.Many scenarios could explain;how could COVID-19 induce Type 1 diabetes? and how COVID-19 brings out Type 2 diabetes? There is lack of data regarding pancreatic abnormalities and manifestation in COVID-19 patients. Hence, further investigations are required to stand on the consequences of COVID-19 in subjects with prediabetes and patients with diabetes. Losing at least 15 pounds, regular physical exercise, control diet and regular checkup are the most important measures for prevention of diabetes after COVID-19. Regular monitoring of blood sugar levels after COVID-19 illness and control of hyperglycemia as early as possible are essential to avoid development of severe complications and poor outcome. Appropriate management of comorbidities is of great significance in mitigating the COVID-19 pandemic. Diabetic patients must have priority for vaccination against COVID-19. CDC recommends that people with underlying medical conditions including diabetes should receive a third dose of COVID-19 Vaccine at least 3-6 months after completion of their second dose series.

Intergovernmental Coordination in Handling COVID-19 in Indonesia: Identifying Pivotal Issues

This paper aims to identify pivotal issues of intergovernmental coordination in handling COVID-19 in Indonesia. This study used a qualitative approach with NVivo 12 Plus to evaluate and visualize data gathered from online media reports and government regulatory documents on intergovernmental coordination in handling the COVID-19 outbreak. This study identified pivotal issues in intergovernmental coordination, including synchronization, relation, communication, and regulation. This study gives four propositions about the pivotal issues. This study also considered implications and directions for future research. © 2023 American Society for Public Administration.

Cardiovascular Disease in Post-Acute COVID-19 Syndrome: A Comprehensive Review of Pathophysiology and Diagnosis Approach

Long COVID or post-acute Coronavirus disease 2019 (COVID-19), a malady defined by the persistence of COVID-19 symptoms for weeks or even months, is expected to affect the lives of millions of individuals worldwide significantly. Cardiopulmonary symptoms such as chest discomfort, shortness of breath, fatigue, and autonomic manifestations such as postural orthostatic tachycardia syndrome, and arrhythmias are prevalent and widely recognized. A variety of cardiovascular problems, including myocardial inflammation, myocardial infarction, ventricular dysfunction, and endothelial dysfunction, have been described in individuals following the initial acute phase. With over 10,000 published publications on COVID-19 and the cardiovascular system, presenting an unbiased thorough analysis of how SARS-CoV-2 affects the system is essentially challenging. This review will provide an overview of frequent cardiovascular manifestations, emphasizing consequences, proposed pathophysiology, and clinical diagnostic manifestation strategy. © 2023 The Author(s). Published by IMR Press. This is an open access article under the CC BY 4.0 license.

Seroprevalence of SARS-CoV2 Antibodies among Patients and Healthy Individuals of Lahore

Objective: To determine the seroprevalence of SARS-CoV2 antibodies in patients and healthy individuals presenting to a tertiary care hospital in Lahore. Study Design: Cross-sectional study Place and Duration of Study: Pathology Department of Surayya Azeem Hospital, Lahore Pakistan, from May to Jul 2020. Methodology: The study included clinically suspected patients of COVID-19 referred by clinicians and healthy individuals presenting to the hospital for the SARS-CoV-2 antibody test, irrespective of age and gender. Results: The SARS-CoV-2 antibody positivity was 704(59.4%) in our study. Out of 1184 individuals tested, 690 patients had a positive clinical history of COVID-19 infection, and 517(74.9%) were positive for COVID-19 antibodies. Out of 494 asymptomatic healthy individuals, positivity for COVID-19 antibodies was 187(37.8%). It was observed that positivity was significantly higher 169(44.0%) in contacts of COVID-19 infection patients compared to asymptomatic healthy individuals 18(16.3%). Conclusion: Our study shows that the seroprevalence of SARS-CoV-2 antibodies in the general public in Pakistan has greatly increased. © 2023, Army Medical College. All rights reserved.

AI-Enabled Wearable Medical Internet of Things in Healthcare System: A Survey

Technology has played a vital part in improving quality of life, especially in healthcare. Artificial intelligence (AI) and the Internet of Things (IoT) are extensively employed to link accessible medical resources and deliver dependable and effective intelligent healthcare. Body wearable devices have garnered attention as powerful devices for healthcare applications, leading to various commercially available devices for multiple purposes, including individual healthcare, activity alerts, and fitness. The paper aims to cover all the advancements made in the wearable Medical Internet of Things (IoMT) for healthcare systems, which have been scrutinized from the perceptions of their efficacy in detecting, preventing, and monitoring diseases in healthcare. The latest healthcare issues are also included, such as COVID-19 and monkeypox. This paper thoroughly discusses all the directions proposed by the researchers to improve healthcare through wearable devices and artificial intelligence. The approaches adopted by the researchers to improve the overall accuracy, efficiency, and security of the healthcare system are discussed in detail. This paper also highlights all the constraints and opportunities of developing AI enabled IoT-based healthcare systems. © 2023 by the authors.

A Video-based Physiotherapy Exercise Dataset

A patient recovering from a stroke, injury, or physical pain needs continuous physiotherapy and rehabilitation to achieve a quick and complete recovery. It is often difficult for elderly people to visit clinics to undertake exercises. Finding physiotherapists and relevant treatments becomes more difficult, particularly in an epidemic condition like covid-19. AI-driven at-home physiotherapy exercise monitoring and assessment systems can be the straightforward feasible solution in this regard. Accurate recognition of particular exercises, exercise assessments, providing feedback, etc. are parts of the whole system, which a machine typically learns through a data-heavy training process. A key issue in this regard is the lack of specific training data for physiotherapy exercises. There exist only a few datasets in the literature that are designed for physiotherapy exercises;most of them however are based on multiple body sensors or Kinect device. Sensor devices are quite costly, and their availability is not guaranteed everywhere. In contrast, video data can be a better alternative, where video can be acquired easily from an available smartphone camera or desktop/laptop webcam. Addressing this issue, we present a new video-based physiotherapy exercise database containing 1237 video clips of 14 physiotherapy exercises that were carefully elicited from an extensively conducted survey from multiple physiotherapists. Exercises were recorded with 28 male and female subjects within various lighting conditions, camera angles, and camera jitters to simulate the real-world setting. Several machine learning algorithms were utilized to carry out an experimental study on the dataset, and the results are provided for future reference. © 2022 IEEE.

Status of Antibody against Severe Acute Respiratory Syndrome Coronavirus 2: Preliminary Reports on Seroprevalence of Covid 19 in among Health Care Workers

Introduction: Large number of health care workers (HCW) were infected and died due to COVID-19 infection. It is needed to know the actual seroprevalence of COVID in HCWs to assess the risk and to take protective measures. This study was aimed to measure IgG antibodies against nucleocapsid protein (N) of COVID as a serological marker for detection of viral status in risk prone HCW of Bangladesh and possible association with reno-cardio-metabolic risk factors Methods: This longitudinal study was conducted from May 2021 to January 2022 among physicians and non-physician health care workers (HCW) in three non- COVID designated tertiary hospitals in Bangladesh. Participants' demographic data, medical history and information on past COVID-19 infection and vaccination status were collected. Serial blood samples were collected at 1.5 month in all (n=633) later at 3, 6 and 9 months in vaccinated group. A qualitative measurement of IgG antibody against nucleocapsid protein (N) of SARS-CoV-2 was done by was done by CMIA developed by Abbott (FDA-EUA approved). Result(s): The mean age was 35+/-10years where70% were female. Physician 32%, Nurse 45% and others was 23%. Diabetics were 9.5%, hypertensive 9% and asthma in 5.1%. The two doses of vaccine against COVID-19was completed in 56%. History of past COVID-19 infection was found among 20% participants at recruitment, out of which 13% was diagnosed by rt-PCR. History of past COVID-19 infection was found among 18% participants based on 1gG against N protein. But the subjects in two groups were different. Combination of RTPCR and N protein igG showed 35% seropositive for covid. Comparisons between covid infection positive vs. negative showed only age was different (37+/-11 vs. 34+/-9, years p<0.001) but other risk factors like BMI, SBP, DBP, S Albumin, glucose, hemoglobin were not different (P=NS) between the two groups. Further comparisons for eGFR cut-offs showed higher infection in lower eGFR (infection present vs. absent for >90ml/min group was 17% & 83% and in 60-90 ml/min group 32% &. 68 %). Prevalence of COVID 19 infection based on presence of N antibody (cutoff value >1.5) among vaccinated HCWs at 1.5, 6 and 9 month was 13.6%, 8.8% and 7.7% respectively. The mean titer of IgG (against N protein) >1.5 among vaccinated HCWs at 1.5 month was 3.1+/-1.5 and reduced to 0.87+/-0.96 at month 6 (p<0.001). Conclusion(s): The prevalence of COVID-19 infection in HCWs during the second wave was 35% based on test for RTPR or IgG against N protein positivity. In vaccinated persons, based on antibody against N protein, re-infection rate was around 8% up to 9 months post vaccine. Although no difference was seen for covid infection for cardio-metabolic risk factors, there seems to have some relation of higher infectivity with decreased GFR level. No conflict of interestCopyright © 2023

COVID-19 vaccination effectiveness: a review in early vaccine adopters in Asian Countries.

COVID-19 vaccines were designed to stimulate an immunological response, producing neutralizing antibodies against the SARS-CoV-2 spike protein. Vaccine variants such as mRNA, viral vector, whole-cell inactivated virus, and protein subunit vaccines, have been reported to be efficacious in phase III trials and have gained emergency use approval in many countries. However, several adverse effects are reported in certain types of vaccines. All vaccines are being expedited by some Asian countries as part of their national immunization programs. This review primarily discussed the selected manufacturers of the COVID-19 vaccines used and their effectiveness in early-adopting Asian countries. The effectiveness in reducing the infection rate and safety of COVID-19 vaccines in Japan, Thailand, Singapore and Malaysia was also analyzed based on the available data. Strategies that can be used to speed up the vaccination rate in reducing the number of COVID-19 cases were also evaluated.

Elevated plasma CAF22 are incompletely restored six months after COVID-19 infection in older men.

INTRODUCTION: The long-term complications of COVID-19 appear as significant health problems. However, the long-term muscle decline in these patients is poorly characterized. METHODS: We investigated the age-related muscle decline, termed sarcopenia, before and following the COVID-19 infection in older male patients (n = 87). We evaluated handgrip strength (HGS) and functional capacity (short physical performance battery; SPPB) in COVID-19 patients 7-42 days before and one week and 6-month after COVID-19 infection. We used ELISA tests to measure plasma c-terminal agrin fragment-22 (CAF22), c-reactive protein (CRP), and 8-isoprostanes as markers of degraded neuromuscular junctions, inflammation, and oxidative stress, respectively. RESULTS: Before the COVID-19 infection, 54 patients were non-sarcopenic, and 25 patients were sarcopenic, while eight patients subsequently developed sarcopenia. All patients exhibited reduced HGS and SPPB, while elevated CAF22, CRP, and 8-isoprostane levels one week post-COVID-19 infection (all p < 0.05). At six months post-COVID-19 infection, the HGS, SPPB, CAF22, CRP, and 8-isoprostanes were partly restored to baseline levels (all p < 0.05). Correlation analysis revealed that the plasma CAF22 had a significant correlation with HGS, SPPB, and COVID-19 disease severity. CAF22 also demonstrated significant areas under the curves in diagnosing sarcopenia at all three time-points. CONCLUSION: Altogether, the muscle detriment due to COVID-19 persists six months post-infection, and plasma CAF22 may be helpful to detect muscle and functional decline in these patients. Timely evaluation and intervention of sarcopenia may be critical in COVID-19 treatment.

optimizing Security based on Face Recognition in Small Spaces

In the current pandemic, which started on last 2020, there are many limitations we should do for reducing the spread of the virus named covid19. Keeping the distance from others is the way to prevent infected covid19. Contactless technology should be developed further, for example, in this paper. Access Control System by Face recognition and Biometrics is one reason to be developed. OpenCV is a tool that will use to build face recognition. This system is only intended for small office areas or smart homes. Currently, only five registered users. The data registration process is carried out outside the system or only loads an algorithm model. This system will also provide information on social media, Whatsapp, if a known person enters the room or an unknown person. © 2022 IEEE.

Industry 5.0: From Manufacturing Industry to Sustainable Society

Industry 4.0 brought a new revolution in industries by making them fully automated via innovative technologies, without considering human-power. Industry 4.0 aims to establish 'smart manufacturing industry' by emphasizing on Information Technology (IT), Internet of Things (IOT), Cyber Physical System (CPS), Industrial Internet of Things (IIOT), Artificial Intelligence (AI), Big Data, and Robotics. This highly automated industry neglected human's intellectual and cognitive skills, causing an increase in unemployment rate and devastation of ecosystem. In this paper, we proposed a framework of emerging technologies of Industry 5.0. Here, we examined how Industry 5.0 will further extend the development of Industry 4.0 and how humans can contribute to its manufacturing process. In addition, prestigious and significant skills for workforce in manufacturing industry are also explored. We also investigated how the Covid-19 epidemic was associated to Industry 5.0 and the idea of sustainable development goals (SDGs). Finally, we highlighted some of the challenges facing the industrial sector as research direction of Industry 5.0. © 2022 IEEE.

Development of Virtual Science Laboratory (VSL) on Linear Motion Concept

Laboratory activities play a very important role in supporting science learning activity which allows students to gain practical skills through experimentation and provides opportunities to have a deeper understanding of the content or concepts being studied. Especially during the current covid-19 pandemic, laboratory activities are directly limited or even eliminated, therefore there needs to be a solution for implementing substitute laboratory activities so that student competencies, especially practical skills through experimental activities, are still mastered. The most likely opportunity is through virtual laboratory activities. This study aims to develop a Virtual Science Laboratory (VSL) in the form of a computer application designed to improve the learning approach by introducing a safe and interactive lab environment for students. The design of this research is Research and Development (R & D) with the ADDIE (Analysis, Design, Develop, Implementation and Evaluation) method. The Virtual Science Laboratory (VSL) learning media product has produced the concept of linear motion using a Virtual Ticker Timer. The feasibility of the VSL for linear motion concept was analyzed based on the average percentage score of material expert validation 83.0%, media/ technology expert validation 84.0%, teacher validation 87.5% and it can be concluded that the validation reached the very feasible criteria. © 2022 American Institute of Physics Inc.. All rights reserved.

COVID-19 Lockdowns in Industrial Areas and Outdoor Climatology Indices

The study focuses on the ambient air pollutants levels before and during the COVID-19 pandemic in two major industrial estates. The data was collected from different Environmental Protection Agency (EPA) certified laboratories. The results revealed that before the COVID-19 pandemic or lockdown the levels of ambient air pollutants were above the Punjab Environment Quality Standards (PEQs) limit, during lockdown conditions these were within PEQs limits. The change was gradual due to a decline in emissions coming from different sources like vehicles and industries during the period of COVID-19 and limited human movement within the study area. The Sunder Industrial Estate (SIE) was less polluted as compared to Quaid e Azam Industrial Estate (QIE), but in the case of different pollutants, some pollutants in SIE were high compared with QIE. It was observed that the ambient air pollutants meditations will reduce regularly and keep declining to the least limit during the COVID-19 induced lockdowns. In crux, the quality of ambient air in the study area improved notably during the lockdown registering reduced concentrations of NOx, SO2, SPM, CO, and PM emissions, resulting in health benefits for the population. © 2022, HARD Publishing Company. All rights reserved.