Measuring Happiness Index and Electronic Gadgets Radiations on AI IoT Systems: Return to Indian Scriptures and Science for Mental Fitness During Global Threats

The World Health Organization has unanimously accepted the four dimensions of complete human health: mental, physical, social, and spiritual. Due to the present pandemic of COVID-19, the mental and spiritual health of an individual is completely disturbed. The article is a trial enough to establish the effect of Sanskrit Vedic Mantra and Yajna, an ancient Hindu science of upliftment of consciousness and to heal self by sound science and heat and light. The article demonstrates the effect of mantra chanting on different ages and genders, rural and urban, and different age groups on human consciousness and mental peace and spiritual wellbeing. It presents the effect of sound science and mantra science over the human mind and body to relax after the stress of COVID-19, a nightmare for the world of the 21st century. Copyright © 2022, IGI Global.

Principles of inclusive practice in schools: what is COVID-19 teaching us?

In March 2020, schools worldwide closed due to COVID-19 and students were required to continue learning from home. Following a review of principles for inclusive practice in schools, we share related literature focusing on how school systems employed these principles during online delivery. After describing emergent themes, we provide a commentary suggesting that the online learning environment resembled the "building of a plane, while flying”. Although there was disregard of a number of principles globally, positive stories are also shared to disseminate ideas for moving forward. We conclude with some key recommendations for future development of inclusive education in schools. © 2023 Elsevier Ltd. All rights reserved.

Chest X-ray findings and severity score of patients with respiratory symptoms in COVID-19 intensive care unit of a teaching hospital

Background: Chest X-rays are important for tracking the progression of lung abnormalities, particularly in critically ill COVID-19 patients in the intensive care units (ICU). We aimed to assess correlation of chest X-ray findings with the COVID-19 disease severity and outcome. Methods: This prospective observational study was conducted at B & C Teaching Hospital, Birtamode from 15 March to 15 July 2021. All diagnosed COVID-19 patients admitted in the ICU for respiratory distress with oxygen saturation < 90% and evaluated by portable X-rays were enrolled. The radiographic findings were evaluated for the distribution and patterns of affection, and the total severity score was calculated using RALE scales of 0 - 8 and Brixia scales of 0 - 18. The scores were then compared between the expired and improved patients. Results: The age of patients (mean +or- SD) was 48.2 +or- 13.84 years. During the first four days of hospitalization, there was no significant difference in Brixia score (p = 0.793) or RALE score (p = 0.842) between expired and improved patients. The differences in both (Brixia and RALE) scores grew with each passing day (p < 0.05). The Brixia and RALE severity scores had a strong positive correlation at various stages of disease in both expired and improved patients. (r > 0.75, p < 0.001). Conclusion: In resource limited setting, the severity scores (RALE or Brixia) can be used as a quantitative method of the extent of COVID-19 pneumonia, correlating with an increased risk of ICU admission.

Identifying teachers' strengths to face COVID-19: narratives from across the globe

An appreciative inquiry approach oriented eight semi-structured interviews conducted with teachers from Australia, New Zealand, Austria, Italy, Spain, Canada, Bangladesh and India to identify their intrinsic and extrinsic strengths and understand how they were able to translate them into practice during the first COVID-19 lockdown in 2020. Commitment and determination, collegial support and solidarity were some of the common driving forces identified, despite the differences in teachers' backgrounds, education systems, policies and cultures. Our research sheds light on opportunity solving in times of crisis as well as on the way education systems worldwide can renew themselves to ensure innovative and inclusive quality education. ©, University of Cambridge, Faculty of Education.

A Critical Review on Sudarshan Churna

Sudarshan Churna is one of the valuable polyherbal Ayurvedic formulations used to treat all kinds of acute and chronic fevers, fever of unknown aetiology, malaria, typhoid, loss of appetite, jaundice, respiratory infections, cough, debility and breathing difficulties linked with fever. Sudarshan Churna helps to ameliorate digestion and appetite;eliminates harmful toxins from the blood;improves immunity and preserves the body against various infections;promotes diaphoresis and urination. In Sudarshan Churna, Swertia chirayita (Roxb. ex Flem.) Karst. is 50% of the total quantity of the remaining other ingredients. It is an esteemed Ayurvedic preparation well known for its antipyretic, antimalarial, antiviral and antidiabetic activity. Various renowned Acharyas have mentioned it in their different classical texts. Acharyas have mentioned its other therapeutic uses, but mainly it has been used in curing different types of Jwara Vikara (fever). Various pharmacological studies have proved antipyretic activity, antimicrobial activity, antioxidant activity, antihistamine activity, analgesic activity and docking study against the SARS CoV-2 of Sudarshan Churna. This article compile review of Ayurvedic literature, an analytical study and pharmacological study of Sudarshan Churna. Copyright © 2022 International Journal of Research in Ayurveda and Pharmacy. All rights reserved.

Emotion, Cognition, and COVID-19: A Study Exploring the Association Between Fear of COVID-19 Intolerance of Uncertainty and Decision-Making in Indian Adolescents

Introduction: Fear and uncertainty are the 2 ingredients of psychological challenges brought about by coronavirus (COVID-19). Fear and intolerance of uncertainty can affect decision-making. Because of the pandemic and owing to their phase of cognitive development, adolescents are more susceptible to such influence. Objective(s): To explore and understand the effects of COVID-19 on emotion and cognition by investigating the association between fear of COVID-19, intolerance for uncertainty, and decision-making in Indian adolescents. Method(s): The sample constituted 136 Indian adolescents aged 15 to 19 years. The sampling technique used was a nonprobability sampling technique called snowball sampling. The sample was collected through an online platform, ie, WhatsApp, Facebook, and most responses were received from Delhi, Sirsa (Haryana), and Chandigarh. The tools administered were the fear of COVID-19 scale (FCVS-19), the Intolerance of Uncertainty Scale (IUS-12), and the adolescent decision-making questionnaire (ADMQ). Correlational, regression, and mediational analyses were conducted to study the associations and interactions between the 3 study variables. Result(s): The sample consisted of 51.5% females and 48.5% males. The correlational analysis reported significant positive relationships between fear of COVID-19, intolerance of uncertainty, and maladaptive decision-making. Further, mediation analysis reported: (a) the intolerance of uncertainty mediates the relationship between fear of COVID-19 and maladaptive decision-making patterns and (b) fear of COVID-19 mediates the relationship between intolerance of uncertainty and maladaptive decision-making patterns. Conclusion(s): The findings indicated that emotions experienced by adolescents during the COVID-19 pandemic could have a negative and significant effect on their decision-making. Thus, it is necessary to mitigate these effects to ensure optimal development of their cognitive skills during calamities such as the COVID-19 pandemic. Copyright © 2022 Indian Association for Child and Adolescent Mental Health, unless otherwise noted. Manuscript content on this site is licensed under Creative Commons Licenses.

Survey on Detection of Face Mask and Social Distancing using Tensorflow

The global COVID-19 epidemic has had a significant impact on the entire world, infecting more than eight million people worldwide. The two most important safety measures that can be taken by the people in puplic in order to prevent this disease is wearing face masks and following social distancing. In order to create and keep an eye on this type of environment, we put forward an efficient and convenient CV(ComputerVision)-based approach mainly focusing on the automated real-time surveillance system to identify face masks, voilation and maintain social distancing in all public areas by creating a model on a system that monitors all activity and manages violations using a camera that can be a webcam, a phone, or even a networked device. After Detecting a violation, the system is able to send an alert popup/alert box including real-time pictures of the group or an individual breaching the basic COVID-19 Protocols to a privacy group of Telegram that was made for these type of cause. In this paper we have proposed a system which is a mixture of both modern deep learning algorithm and geometric techniques for making a model satisfying robustness condition. The proposed model is totally based on three aspects detection,validation and report. Hence.this model can solve a problem by allowing us to use it and save time and make the most out of it to decrease the spread of the pandemic and by reducing the total COVID-19 cases. It can be successfully implemented in present scenarios where strong public safety measures are required, such as public meetings, shopping malls, movies, grocery stores, and so on. Since the goal is to minimize the time taken and also the cost by decreasing the number of individuals to inspect in public places at a time,we make use of Automated inspection. © 2022 IEEE.

Does vitamin D supplementation reduce COVID-19 severity?: a systematic review.

BACKGROUND: The evidence regarding the efficacy of vitamin D supplementation in reducing severity of COVID-19 is still insufficient. This is partially due to the lack of primary robust trial-based data and heterogeneous study designs. AIM: This evidence summary, aims to study the effect of vitamin D supplementation on morbidity and mortality in hospitalized COVID-19 patients.Design: Evidence summary of systematic reviews. METHODS: For this study, systematic reviews and meta-analysis published from December 2019 to January 2022 presenting the impact of vitamin D supplementation on COVID-19 severity were screened and selected from PubMed and Google scholar. After initial screening, 10 eligible reviews were identified and quality of included reviews were assessed using AMSTAR and GRADE tools and overlapping among the primary studies used were also assessed. RESULTS: The number of primary studies included in the systematic reviews ranged from 3 to 13. Meta-analysis of seven systematic reviews showed strong evidence that vitamin D supplementation reduces the risk of mortality (Odds ratio: 0.48, 95% CI: 0.346-0.664; P < 0.001) in COVID patients. It was also observed that supplementation reduces the need for intensive care (Odds ratio: 0.35; 95%CI: 0.28-0.44; P < 0.001) and mechanical ventilation (Odds ratio: 0.54; 95% CI: 0.411-0.708; P < 0.001) requirement. The findings were robust and reliable as level of heterogeneity was considerably low. However the included studies were of varied quality. Qualitative analysis showed that supplements (oral and IV) are well tolerated, safe and effective in COVID patients. CONCLUSION: The findings of this study show that vitamin D supplementation is effective in reducing the COVID-19 severity. Hence, vitamin D should be recommended as an adjuvant therapy for COVID-19.However, more robust and larger trials are required to substantiate it further.

Neurological manifestations, comorbidities, and outcomes of COVID-19 in parkinson's disease patients

Objective: The aim of this study was to report neurologic manifestations, medical comorbidities and discharge outcomes of COVID-19 in ten patients with Parkinson's Disease (PD). Background: There is a rapidly accumulating literature regarding neurologic manifestations of COVID-19, but few studies investigating COVID-19 in PD specifically. Individuals with PD are at risk for neurologic manifestations in the context of COVID-19 and share common characteristics with patients at risk for severe COVID-19, such as age and medical comorbidities. Design/Methods: We reviewed 503 consecutive patients with COVID-19 between February 20, 2020 and July 5, 2020 at Evergreen Hospital, Kirkland, Washington, USA. We identified 10 patients with PD and examined their charts for COVID-related neurologic manifestations, medical comorbidities, and discharge outcomes. Results: The mean age of our PD sample was 71 years old. Three patients had pre-existing dementia. The majority presented with neurologic manifestations. Metabolic encephalopathy was detected in four patients. Three patients had worsening of tremor and two patients reported falls. Six patients presented with cough and four patients presented with fever. The most common comorbid condition was hypertension in three patients. Two patients died of acute respiratory failure. The remaining eight were discharged to their pre-admission living situation, recovered to baseline PD status, and continued with the same dose of PD medications. One of the deceased patients had pre-existing dementia and experienced metabolic encephalopathy. The other patient had hypertension, atrial fibrillation, and organic heart disease. Conclusions: Cough was the most common presenting symptom of COVID-19 in PD patients. The most common comorbid condition was hypertension. Deaths were due to respiratory failure rather than PD related complications. The majority of patients returned to their premorbid PD status after recovering from COVID-19. More research regarding COVID-19 in PD is needed.

Creating value: sustainability and accounting for non-financial matters in the pre- and post-corona environment

Purpose: This paper aims to introduce the special issue on “sustainability and accounting for non-financial matters: qualitative and quantitative research approaches”. This special issue was organised at the time when the entire globe was affected by the Coronavirus and accordingly, this paper has taken this opportunity to discuss the implications of this pandemic on accounting for non-financial issues, especially in relation to sustainability accounting research and practice. Design/methodology/approach: An analysis of public documents and limited academic research on the Coronavirus was undertaken in this paper to highlight how life as it existed has fundamentally changed. The authors also review the papers published in this special issue and identifies research opportunities arising from the current environment. Findings: The onslaught of the Coronavirus provides both challenges and opportunities for the practice of, and research into, accounting for non-financial matters, such as sustainability. The papers published in this special issue promote understanding and linking of sustainability reporting practices, to creating firm values, as well as identifying current and emerging challenges. The special issue explores criteria for the construction of accounting technology that is consistent with agnostic-based critical accounting and accountability, a business case for managers and practitioners to formulate strategic and management control systems in response to climate change issues, legitimacy and the use of photographs in sustainability reporting to create value, effective disclosures of business and sustainability ethics practiced by the firm for reputation building and value creation, indigenous accounting in mining companies, public sector policy framing of non-financial value, the barriers to sustainability reporting because of lack of awareness and knowledge and inadequate regulatory support in developing countries and the significance of sustainability accounting education to improve sustainability reporting practices in developing countries. Research limitations/implications: Future research opportunities in relation to the impact of the Coronavirus on accounting for non-financial value are identified. Given that COVID-19 is a societal matter, the practical implications of the Coronavirus in accounting for non-financial value creation are highlighted. The Coronavirus has challenged the existing economic paradigm and non-financial issues will capture the attention of corporations, other institutions, civil society and governments. Practical implications: The Coronavirus has challenged the existing economic paradigm and non-financial issues will capture the attention of corporations, other institutions, civil society and governments. Social implications: Given that COVID-19 is a societal matter, the practical implications of the Coronavirus in accounting for non-financial value creation are highlighted. Originality/value: This study, to the knowledge, is one of the pioneer academic studies that has explored the implications of the Coronavirus on accounting for non-financial value. In addition, this special issue includes papers that highlight how non-financial reporting matters are increasingly being given attention by companies to enhance business practices on sustainability through different perspectives. © 2021, Emerald Publishing Limited.

Performance comparison of two class boosted decision tree snd two class decision forest algorithms in predicting fake job postings

During the Corona Virus Disease 2019 (COVID 19) period, online activities have become a necessary thing in everyone's life. However,in electronic recruitment, fake job postings have been started by scammers to get people's personal information and scam purposes. Many businesses prefer to post their vacancies electronically so that job applicants can access them quickly and timely. But this purpose may be one form of scam on the part of the fraud individuals because they give job applicants during terms of taking money from them or collecting their personal information for involving in cybercrimes. Fake job posting advertisements can be written against a reputable firm for breaching its reputation. The fraudulent post-detection work draws proper attention to obtaining an automated tool to identify fake jobs and report them to people to avoid applying for such situations. At present, many machine learning algorithms have been used to detect such fraudulent posts. But, the performance of such algorithms to be measured and compared to find a proper algorithm to incorporate in identifying fake things. In this research, the use of a proposed model with the help of Microsoft Azure Machine Learning Studio tested a comparison study on the performance of a two-class boosted decision tree and two-class decision forest algorithms. Researchers used F1 Score, Recall. Accuracy and precision to compare those two algorithms. Results showed that a two-class boosted decision tree is better for detecting fake job posts than the two-class forest decision algorithm. Thus, a two-class decision forest algorithm can be used to find and identify false or gossip messages, tweets, and social media publications. © 2021, Annals of R.S.C.B. All rights reserved.

Adapting to COVID-19 disruptions: student engagement in online learning of accounting

Purpose: This paper aims to provide insights on student engagement in the learning of accounting during the COVID-19 disruptions and the pivot to online learning. Design/methodology/approach: This paper is based on reflections of academic staff members teaching accounting papers at two large New Zealand universities. Further supporting information was derived from student feedback collected via paper appraisals. Findings: The findings of this paper suggest that there were some successes and numerous challenges in engaging students in online learning of accounting. Strategies that seem to have worked well include the use of synchronous and asynchronous channels to proactively facilitate and provide learning support to students in online learning. The challenges include frustrations with online technologies and the difficulties of making personal connections with students;therefore, engaging some of the cohort in the learning proved to be difficult. Research limitations/implications: The findings of this paper suggest that there were some successes and numerous challenges in engaging students in online learning of accounting. Strategies that seem to have worked well include the use of synchronous and asynchronous channels to proactively facilitate and provide learning support to students in online learning. The challenges include frustrations with online technologies and the difficulties of making personal connections with students;therefore, engaging some of the cohort in the learning proved to be difficult. At risk, students were less likely to participate in online live sessions due to issues such as the lack of proper computer equipment, connectivity issues, family responsibilities or the home environment. Practical implications: This paper has the potential to inform and enhance practices of higher education institutions, accounting educators and other stakeholders such as support staff on strategies that could be implemented to achieve effective student engagement in online accounting education. Originality/value: This paper is original and contributes towards sharing ideas with the academic community on effective teaching practices used during the COVID-19 pivot to online delivery, which can enhance student engagement in business education. © 2020, Emerald Publishing Limited.