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The article discusses various scientific aspects of Indian Vedic Agnihotra Vijnan and Mantra therapy. It has been scientifically proven in many recent experiments and literature that Homa therapy is effective in diseases control through inhaling therapy, generates negative ions responsible for happiness, organic homa krishi (farming) is best for humans, and it is a boon for mental and physical fitness. The authors present a series of small experiments in support of few of the above results and confident enough that gradually this therapy will be popular and accepted globally by one and all. Indian culture and science is scientific and full of components to uplift the human consciousness and ease life. The present study supports this fact by visualizations and sensor-based experiments. In the 21st century, it is crucial to accept with open minded the good features this alternate therapy in view of the multiple waves of the pandemic caused by COVID-19 and other global threats. Copyright © 2022, IGI Global.
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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.
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Background: Family scientists strongly purport that structured family routines are associated with family stability and identity and may mediate the individuals' positive developmental outcomes. Family routines enhance the predictability of ambiguous situations, promote members' cohesion, and provide security and warmth. Investigating adverse changes in family routines during COVID-19 can inform on support required by families from other larger systemic institutions. Theoretical background: Historically, family routines have universally been a gendered realm, and the contributions of females have been salient in maintaining them. Established and gendered contributions pre-COVID-19 predicted who does what and how much in the household. After the spread of COVID-19, the gendered practice continued and, in many households, strengthened. Therefore, exploration of proximal processes in the microsystem, such as family routines through the Bioecological perspectives, may offer insights into the historical rationale and repercussions of the gendered division of household labor on individual family members, especially women, and in times of crisis, such as a pandemic. Purpose and method: The health implications of COVID-19 led to restrictive mandates, including remote employment and education directives resulting in additional stress and uncertainty in carrying out daily routines. Thus, there is a need to explore whether restrictive mandates during COVID-19 changed specific family routines and gender outcomes. In the current study, we surveyed (online) 378 adult participants about changes (disruptions) in their family routines, perceptions of disruptions in routines, and perceived stress levels. The research questions are: (1) Does participants' gender continue to determine specific family routines? (2) What are participants' perceptions of disruptions in family routines, and do those responses to family routines differ significantly by participants' gender? (3) Are there significant gender differences in perceptions of stress among participants? Findings and conclusions: Data analyses indicated that during COVID-19, both males and females were equally affected by changes in routines and had similar perceptions of disruptions and high-stress levels. However, item-level analyses indicate that females significantly spent more time on chores that would benefit others, whereas male participants spent more time on routines that would benefit them. Both males and females reported high-stress levels but differed in symptomatology. We provide a few selected narratives to supplement gender-based quantitative findings and establish descriptive evidence for differences in disruptions in routines and stress. In the end, implications for future practice and research are discussed. Copyright © 2023 Saxena, Shedlock and Gold.
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Fake news has flourished for quite some time.Fake news is spreading at a rapid rate due to the rapid growth of smartphone users and the ease of access to the internet. Is there a reason why so many people are so willing to believe bogus news? How come we don't double-check our information before passing it on? Other questions remain unresolved, such as: The panic caused by the spread of false information during the crisis. It took a long time for the Covid-19 pandemic to break out. In this research, we used the dataset Fake.csv to examine several scenarios of fake news spreading in different continents, countries, and age groups. There has been a lot of recent research on the topic. © 2022 IEEE.
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Introduction: Hypertension remains a leading cause of disability and preventable death globally. This study tested patient use of a drug-device combination of a smartphone application (App) to record blood pressure (BP), drug (amlodipine) dose and side effects each day at home during the COVID-19 pandemic. Method(s): In this community-based trial with remote monitoring and remote medical management from the investigational site, hypertensive participants aged 18 years + with poor BP control (prior 7 day mean of 135 mmHg systolic BP or above and/ or 85 mmHg diastolic BP and above) were enrolled to intervention with open label dose titration over 14 weeks, allowing personalized dosing of liquid amlodipine (1-2mg steps from 1-10 mg daily). Those with adequate BP control after 7 day baseline recorded BP over the same period. Result(s): 205 patients were enrolled into the intervention group between October 2020 and July 2021. Dose-related wanted (BP reduction) and emergence of unwanted effect plots were produced for individual participants. Average BP in intervention fell from 141/87 to 131/81 (difference -10/6 p < 0.001) and observation from 125/77 to 124/76 (difference -2/1 p < 0.001). Even low doses of 1 or 2 mg amlodipine reduced BP, as did small increments e.g. from 5mg to 6 mg or from 6mg to 8mg. Mean amlodipine dose at study end averaged 5.5mg on those without amlodipine at baseline, and 7.9mg in those starting at 5mg at baseline. Adherence with participant completion of the daily App routines was high and unrelated to age (median >90%). Conclusion(s): Remote clinician assessment of twice daily home BP measurements and side effects recorded in the App may inform more precise amlodipine titration and BP control. Personalised dose-response curves for both wanted and unwanted effects may change the relationship of participant and clinician to dose selection, convincement and help optimize long term care.
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Background: The acceptance and availability of effective vaccines are crucial for the success of vaccination programs. Medical doctors and students are the epitome of shaping the public interest in vaccines. Aim: To evaluate the general public's attitudes, including dental students and health care professionals, at the national level towards COVID-19 vaccines and explore the potential drivers for students' acceptance levels. Methods: A national-level cross-sectional study was carried out in May-June 2021 using an online questionnaire. The sample was categorized based on age, gender, academic level, and location. The dependent variable was the willingness to take the COVID-19 vaccine. The independent variables included demographic characteristics, COVID-19-related experience, and the drivers of the COVID-19 vaccine-related attitude suggested by the WHO SAGE. Results: The number of people who answered the questionnaire was 1271. The males accounted for 38.9%, and females were 61.1%. The age group, 18-45 years with 14.7%, has the highest percentage of people who have not taken vaccination. In context to gender, 13.5% of males and 13.1% of females have not taken vaccination. The percentage of vaccination hesitancy is highest in rural areas with 19.5%. The health care professionals were vaccinated with the highest percentage of 89.8%. Conclusion: The vaccination acceptance level of the population for COVID-19 vaccines was good, approximately 63%, and their worrisome level of vaccine hesitancy 27% was governed by demographic, social, and economic factors. The media and social media, public figures, insufficient knowledge about vaccines, and mistrust of governments and the pharmaceutical industry were major hurdles to vaccination.
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The present COVID-19 pandemic scenario where entire world is facing a lot of unforeseen medical challenges, can be somehow controlled by following some medical guidelines and procedures when monitored strictly. Wearing a specifically recommended face mask is one of the easiest ways to prevent it. However, due to negligence by the common people for avoiding face masks, need a meticulous system to find such people and appropriate action may be taken against them. Medical guidelines state that primarily COVID-19 and its variants outspread typically through nose discharge or droplets of saliva by the infected person's coughs or sneezes. Droplets of saliva all around us could infect us and others. So, People need to wear masks as it's one of the methods which can effectively depress the growth of its spreading. Identifying masks over the faces could be done using many methodologies in Computer Science. The primary concern is to work upon identifying masks on people's faces and increasing their recognition accuracy with simple methodology and network. Keep the fact in mind, this paper presents a methodology for the identification of masks on people's faces using Convolution Neural Networks (CNN), for this, a training dataset has been used to generate more augmented images. Afterward, it has been pre-processed by applying CNN. The method has been evaluated using a CNN-based algorithm on the test dataset. The simulation result shows satisfactory performance and accuracy through different curves. © 2022 IEEE.
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Introduction: The Coronavirus disease is a systemic infection associated with changes in haematological parameters, which have asignificant role in early risk stratification and prognostication in theaffected patients.Aims &Objectives: To study the haematological parameters Hemoglobin(Hb), Mean Corpuscular Volume(MCV),Red celldistribution width(RDW),total leukocyte count(TLC), NeutrophilLymphocyte ratio (NLR), Absolute eosinophil count(AEC), Absolutelymphocyte count(ALC) and platelet count(PC)] in patients ofCOVID-19 s wave, at our tertiary care institute.Materials &Methods: The study was conducted on 214 COVID-19patients admitted to our institute from April 2021 to June 2021.Data was collected from Central laboratory records in Microsoft exceland analysed using student SPSS version 26.0.Result: The mean age of the patients was 53.46 ± 13.09 years with amale to female ratio of 1.9:1. Anemia was observed in 143 patients(66.82%).Normal MCV was observed in 128 (59.81%) and RDW wasincreased in 159(74.29%) while TLC was normal in 109(50.93%)followed by leukocytosis in 99 (46.26%) and leukopenia in 6(2.8%)patients. NLR was raised in 207 (96.72%) patients. Eosinopenia in205(95.79%), lymphopenia in 156(72.89%) while normal PC wasobserved in 140(65.42%), decreased in 69 (32.24%) and increased in5(2.42%) patients.Conclusions: Anaemia, increased RDW, increased NLR, lymphopenia and eosinopenia were associated with COVID 19 disease.
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Background and objective: The Plasma-Lyte 148 versus Saline (PLUS) study is a prospective, multicentre, parallel-group, concealed, blinded, randomised controlled trial comparing the effect of Plasma-Lyte 148 versus 0.9% sodium chloride (saline) for fluid resuscitation and other fluid therapy on 90-day mortality among critically ill adults requiring fluid resuscitation. The original target for recruitment was 8800 participants, which was reduced to 5000 participants following the onset of the coronavirus disease 2019 (COVID-19) pandemic in 2020. This article describes the statistical analysis plan for the PLUS study. Methods: The statistical analysis plan was developed by the study statistician, chief investigator, and project manager, and was approved by the Management Committee before unblinding. The plan describes in detail the analysis of baseline characteristics, process measures, and outcomes, including covariate adjustments, subgroup analyses, missing data handling, and sensitivity analyses. Results and conclusions: A statistical analysis plan for the PLUS study was developed. This pre-specified plan accords with high quality standards of internal validity and should minimise future analysis bias. © 2021, College of Intensive Care Medicine. All rights reserved.
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Intro/Background: Tele-ultrasound is increasingly utilized in resource limited settings by EM physicians. To date, its utility in education has not been extensively explored. During the COVID-19 pandemic, a need emerged for novel remote teaching techniques due to restrictions on hands-on instruction. Our intervention examined whether tele-ultrasound could effectively train novice providers to perform the focused assessment with sonography for trauma (FAST) exam. Purpose/Objective: The objective of this innovation was to assess the feasibility of point of care ultrasound (POCUS) education utilizing video communication to teach physician assistant students the FAST exam. Methods: Students received a lecture on FAST and were randomized to receive in-person or tele-ultrasound teaching by EM physicians. In the latter group, students and educators communicated via the smartphone video feature of a handheld ultrasound probe (Butterfly iQ) where the educator was able to see the learner's probe positioning and ultrasound image. Educators in each group assessed whether students could demonstrate adequate image acquisition of FAST views and recorded the time required to do so. Outcomes (if available): There were nine students in the in-person group and eight students in the tele-education group. All students were able to demonstrate adequate ability to perform the FAST exam as assessed by their educator. Average time (in seconds) to achieve visualization of all components of the FAST was 62 seconds (SD 26) for the in-person group compared to 341 seconds (SD 204) for the tele-education group. Summary: Tele-ultrasound education using a handheld ultrasound device was an effective method to train novice learners in the FAST exam. This technique allowed educators to give real-time feedback to guide learners' probe placement and ultrasound image optimization, skills which are traditionally thought to require hands-on teaching. Although tele-ultrasound required more time than in-person instruction, it may be a valuable adjunct when in-person education is limited by COVID-19 restrictions or by distance. Increasing educator familiarity with tele-ultrasound may also improve its efficiency. This model should be explored further with other POCUS applications in larger studies to further evaluate its feasibility and utility.
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The recent COVID-19 pandemic has created grand challenges for many be it a health and pharmaceutical industry, law chambers, educational institutions, FMCG, banking, small – micro units or suppliers - transportation units. Every single organization of any size or category, faced challenges in one or other form, leaving workforce to adapt and adopt the new online work culture and advocate technology integration to their profiles. AI, Machine Learning, Talent Analytics, Automation, IoT, Gamification are recent up gradations for HRs, where HRs are pushing hard to keep up with the pace of technologies to manage employees remotely, cost cutting and developing Culture-Tech platform. The primary study was made with 64 HRs of Indian Service Industry to study the recent HR technology integration during COVID-19 to able to manage crisis, employees, projects and their own jobs. © 2021 IEEE
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Data has tremendously incorporated our lifestyle. With advancements in technology and reduced Internet cost, data usage has increased many folds resulting in generation of huge heaps of unstructured data called as big data. This unstructured big data is difficult to handle using existing database management technology. We observed that genetic information related to coronavirus is tremendously increasing everyday. With implementation of big data analytics, these databases will be easily manageable leading to advancements in COVID-19 research. In this article, we have used HDFS system for efficient data management. In our work, we classified gene classes present in complete sequence so as to quickly detect mutation in no time. To achieve this, we predicted machine learning models to classify gene sequences faster in-class with libraries like matplotlib to construct detailed graph of the data. We choose three different sequences to classify gene sequence using natural language processing technique of Sklearn library and tested our results using logical regression. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2021.
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Human race has faced many epidemics and pandemics in past. The trajectory reveals that there is a pandemic almost every century. Our generation has witnessed the outbreak of coronavirus disease (COVID-19) pandemic, which turned out to be largest pandemic ever. Viruses have affected global population in the past century can answer the questions of the post Corona trauma. It has been noticed that most of the epidemics and pandemics are inflicted by the influenza viruses. Scientists have elucidated the structures of the viruses that have infected earlier. The homology between them and COVID-19 can be studied in order to fight the virus. In this paper, journey of novel corona virus has been discussed from a simple flu to become a pandemic within a short span of time. All the factors including the major countries responsible for spreading the pandemic owing to their volume, speed of human travel and socio-economic reasons seems to be the reason according to the review. We also compared the structures of the epidemic and pandemic causing viruses. Some of the COVID-19 studies mentioned which used machine learning models, and then by the use of machine learning we analyzed characteristics of three diseases (H1N1, COVID-19, and SARS) to obtain the plots of the autocorrelation against the lag of the number of confirmed cases, recovered cases, and deaths of /caused by COVID-19. © 2021 Institute of Physics Publishing. All rights reserved.
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In the present crisis, the novel COVID-19, which started spreading from Wuhan on 29th Dec. 2019 has now taken the whole world into its grip. The Ancient Rishi and Muni were wise enough, and they knew how to kill the bacteria and virus of the atmosphere through Vedic Science of Mantra and Yajna. The present article is an effort to validate the process in a congenial and constrained environment. Through different presented concepts, we can easily understand the importance of Mantra and Yajna Sciences, and with the help of statistical tools and artificial intelligence concepts, the efficacy of this ancient Indian science has been established. The article also elaborates the effect of Vedic verses and Sanskrit sutra on human consciousness and mental health. The manuscript also shows the effect of Yajna and Mantra over the radiations of electronic gadgets. It also helps the study of ancient Hindu culture and its processes on human spiritual health and mental peace after the tearful worst stress of COVID-19 in the 21st-century world. © 2020, IGI Global. Copying or distributing in print or electronic forms without written permission of IGI Global is prohibited.