A comprehensive study on unraveling the advances of immersive technologies (VR/AR/MR/XR) in the healthcare sector during the COVID-19: Challenges and solutions

Heliyon, Год журнала: 2024, Номер 10(15), С. e35037 - e35037

Опубликована: Июль 23, 2024

The current COVID-19 pandemic has affected almost every aspect of life but its impact on the healthcare landscape is conspicuously adverse. However, digital technologies played a significant contribution in coping with challenges spawned by this pandemic. In list applied technologies, role immersive battling notice-worthy. Immersive consisting virtual reality (VR), augmented (AR), mixed (MR), extended (XR), metaverse, gamification, etc. have shown enormous market growth within system, particularly emergence pandemics. These supplemented interactivity, experience, 3D modeling, touching sensory elements, simulation, and feedback mechanisms to tackle disease systems. Keeping view applicability significance technological advancement, major aim study identify highlight concerning handling setup. domain for different purposes such as medical education, training, proctoring, online surgeries, stress management, social distancing, physical fitness, drug manufacturing designing, cognitive rehabilitation highlighted. A comprehensive in-depth analysis collected studies been performed understand research work future directions. state-of-the-artwork presented discuss various issues involving adoption area. Furthermore, solutions these emerging provided based an extensive literature study. results show that considerable potential provide massive support stakeholders system during situation

Язык: Английский

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Public hygiene and the awareness of beauty parlor: A study of consumer perspective

European Journal of Environment and Public Health, Год журнала: 2024, Номер 8(2), С. em0157 - em0157

Опубликована: Июнь 18, 2024

<b>Background:</b> The beauty-care industry flourishes globally, including in Kathmandu, Nepal. Despite limited research on personal hygiene, beauty parlors lack comprehensive studies. This study aims to assess parlor public hygiene (BPH) awareness among university students.<br /> <b>Methods</b>: researchers employed a quantitative cross-sectional approach and purposive sampling gather data from consumers. Consumers were surveyed using self-designed tools, the assessed tools’ reliability, validity, pilot-tested them. reliability (Cronbach’s alpha) of tools was measured at 0.793. Prior conducting final study, obtained ethical approval. In this utilized descriptive analysis, t-tests, Chi-square tests analyze data.<br <b>Results:</b> analysis showed that 53.0% consumers scored 50.0% or lower BPH. A one-sample t-test revealed significant result (p=0.049) for BPH, with mean difference 0.753 (95% confidence interval: 0.0032 1.5033). Regarding sociodemographic variables, age 26.89 years. 52.1% visited more than once month, 43.8% spent between 501 1,000 rupees per month. main services sought hair styling/cutting facial/skin care study.<br <b>Conclusions:</b> Researchers suggested below low levels regarding Therefore, targeted interventions, in-depth studies, interdisciplinary collaboration, standardized protocols regulating monitoring are recommended. Regular laboratory examinations identify different types microbes such as bacteria, fungi, viruses also prevent various communicable pandemic diseases.

Язык: Английский

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Medical educational study burnout and job satisfaction among general practitioners and occupational physicians during the COVID-19 epidemic

Electronic Journal of Medical and Educational Technologies, Год журнала: 2024, Номер 17(1), С. em2402 - em2402

Опубликована: Фев. 27, 2024

In this narrative review, general practitioners and occupational physicians (GPOPs) are compared in terms of their burnout job satisfaction. The studies used show an immediate link between a lack However, it is unclear which these two factors, will apparently need to be researched discovered through more research, influences the growth other one. High low satisfaction rates arise because intrapersonal variables, factors related workplace, dynamics workplace environment. There remarkable rise among GPOPs during COVID-19 pandemic. It critical psychological interventions made address boost levels as has detrimental impact adverse effect on medical working

Язык: Английский

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AI-PotatoGuard: Leveraging Generative Models for Early Detection of Potato Diseases

Potato Research, Год журнала: 2024, Номер unknown

Опубликована: Июнь 24, 2024

Язык: Английский

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Predicting Child Mortality Determinants in Uttar Pradesh Using Machine Learning: Insights from the National Family and Health Survey (2019-21)

Clinical Epidemiology and Global Health, Год журнала: 2025, Номер unknown, С. 101949 - 101949

Опубликована: Фев. 1, 2025

Язык: Английский

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The impact of PFAS on the public health and safety of future food supply in Europe: Challenges and AI technologies solutions of environmental sustainability

European Journal of Sustainable Development Research, Год журнала: 2025, Номер 9(2), С. em0288 - em0288

Опубликована: Апрель 23, 2025

Per- and polyfluoroalkyl substances (PFAS) are persistent organic pollutants extensively used in industrial consumer applications. Their accumulation European agricultural soils through discharges, biosolid applications, contaminated irrigation water poses an unprecedented threat to food security, soil health, quality. Despite extensive laboratory research, no full-scale, long-term validated PFAS remediation study exists, leaving critical gaps mitigation strategies. Existing approaches–including mobilization, immobilization, degradation techniques–have demonstrated effectiveness controlled environments but lack real-world validation dynamic settings. This proposes artificial intelligence (AI)-driven framework that integrates real-time detection tools, predictive modeling, adaptive technologies overcome these challenges. Unlike static strategies, the proposed AI-assisted system dynamically optimizes interventions based on contamination patterns, composition, environmental conditions. Machine learning algorithms statistical models enable precise tracking, migration automated decision-making, offering a scalable responsive solution for sustainable management. underscores urgent need large-scale, policy-backed field trials validate AI-driven technologies, bridging gap between scientific advancements implementation. By transitioning from theory adaptive, field-deployable framework, this research ensures solutions resilience, public health protection.

Язык: Английский

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Analyzing the link between emotional intelligence, education level, and quality of life in women of reproductive age

Electronic Journal of Medical and Educational Technologies, Год журнала: 2024, Номер 17(3), С. em2406 - em2406

Опубликована: Июль 25, 2024

<b>Background</b>: Emotional intelligence (EI) and quality of life (QoL) are critical aspects women’s health that have received limited attention in previous studies. Most research on EI has focused business leadership, while QoL studies predominantly revolved around diseases. This study aims to bridge this gap by examining the relationship between EI, education level, among women reproductive age group.<br /> <b>Methods</b>: A quantitative, cross-sectional was conducted, involving a total sample N = 104 participants. Self-administered questionnaires designed validated for assessment, were employed. The utilized structured instruments, such as SF-12 questionnaire, known their reliability. Data analysis involved descriptive statistics, regression analysis, one-way ANOVA tests.<br <b>Results</b>: findings revealed there is moderate correlation studied population. However, did not attain statistical significance. On other hand, level demonstrated positive association with but exert significant influence particular study.<br <br <b>Conclusion</b>: In conclusion, exhibit strong direct QoL, it remains crucial skill enhancing well-being. Also, plays role increasing can be learned developed. Hence, interventions focusing could potentially improve women. Further targeted recommended empower experience better overall

Язык: Английский

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The Effectiveness of Utilising Modern Artificial Intelligence Techniques and Initiatives to Combat COVID-19 in South Korea: A Narrative Review

Asian Journal of Applied Sciences, Год журнала: 2021, Номер 9(5)

Опубликована: Ноя. 4, 2021

All nations are facing significant challenges and difficulties in the face of an intense pandemic that controls human life, many things have changed which led to doubling global economy difficulty life for world's inhabitants. At present, seeking control spread epidemic them, as every country uses plans prevent this pandemic. This article presents South Korea's experience employing modern artificial intelligence techniques COVID-19. Besides, use their great role analysing images people with COVID-19 disease discussed, how they used save lives victims. The data obtained is from a group studies, social networking sites, news on TV channels first period 2020, collected summarised article. study summarises Korea through application detect disease, tracking injured GPS intelligent quarantine established, diagnosing examining damaged remotely, applying electronic platform publish information about avoid infection robots assist diagnose drones sterilisation purposes.

Язык: Английский

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Improving health awareness with real-time monitoring through a three-dimensional visualized digital health avatar

Smart Health, Год журнала: 2024, Номер 34, С. 100522 - 100522

Опубликована: Ноя. 6, 2024

Язык: Английский

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Building integrated assessment model for IoT technology deployment in the Industry 4.0

Journal of Cloud Computing Advances Systems and Applications, Год журнала: 2024, Номер 13(1)

Опубликована: Ноя. 14, 2024

Internet of Things (IoT) platforms have become the building blocks any automated system but they are more important in case industrial systems where sensitive data captured and handled by information system. Therefore, it is imperative to deploy right IoT platform perform computational operational tasks a better way. During last few years, an array technologies/platforms with different capabilities features were introduced markets. This abrupt rise created selection decision-making issues particularly for network engineers, designers, managers due lack technical understanding skill this area. we present integrated assessment model focusing on evaluating ranking environment. It encompasses multiple methods such as proposed leverages well-known collection technique Delphi related criteria features. adopts Analytic Hierarchy Process (AHP) giving weights The Order Preference Similarity Ideal Solution (TOPSIS) method has been applied evaluation top twenty (20) Industrial IoT(IIoT) alternatives according criteria. selects most rational choice that can be employed Industry 4.0 setting. produces accurate consistent outcomes. Hence, believed used guideline stakeholders like researchers, developers, policymakers deployment first kind multi-methods mode assessment, decision-making, prioritization technologies industry domain.

Язык: Английский

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