Your browser doesn't support javascript.
Show: 20 | 50 | 100
Results 1 - 4 de 4
Filter
2.
Open Dermatology Journal ; 15(1):59-65, 2021.
Article in English | EMBASE | ID: covidwho-1599066

ABSTRACT

Background: Due to the prevailing coronavirus crisis, the use of sanitizers has become an urgent need of today to take preventive care as we step out for various reasons. Many brands and varieties of sanitizers are available in the market today. Objective: The present study has been undertaken to develop and analyse the effects of an Ayurvedic preparation to overcome all the ill effects exerted on the skin by the chemical-based sanitizers. As there are very bad long-lasting effects on skin after continuous use of synthetically derived sanitizers. This pandemic situation has forced all of us for using sanitizers at least 10 times a day, especially for children and the Geriatric population. Material and Methods: Formulation was developed with the help of natural ingredients and then it was evaluated on the safety and efficacy standards to make sure about the credibility of the designed preparation. The benefits of using this formulation were observed during the health camps organised by Diabport health care at various parks in Kanpur. The texture of the skin was improved and apart from this. This was assessed with the help of a questionnaire (KAP) which was developed and validated. Results: The herbal based sanitizer, derived from Ayurvedic principles, was found to be quite effective against germs, microbes and it was beneficial for the care of hands also. Hands were soft and irritation free when the herbal sanitizers were applied for optimum time. We have observed that those patients who have history of high sugar level are more prone of developing rashes due to excessive usage of sanitizers. Diabetic dermopathy was also relieved. The population which used this formulation showed sign of improvement in both the texture of skin as well as decreased number of rashes. Conclusion: Herbal-based sanitizers are the need of the hour to combat the danger of corona, keeping the hands mild and soft. More focus on them should be encouraged on a large scale.

3.
Rupkatha Journal on Interdisciplinary Studies in Humanities ; 13(4):17, 2021.
Article in English | Web of Science | ID: covidwho-1579477

ABSTRACT

In the wake of COVID-19, online learning has achieved new dimensions and affected all fields of education. As such, one of the emerging fields of ELT is Mobile-Assisted Language Learning (MALL). The proposed study adapts the Unified Theory of Acceptance and Use of Technology (UTAUT) to identify factors influencing students' behavioral intention towards WhatsApp for enhancing lexical competence. Three constructs, namely, performance expectancy, social influence, & hedonic motivation, are adopted from the original model, and two new constructs: perceived relevance and collaborative learning are added. A questionnaire was administered to 203 undergraduate students from select Institutes in Rajasthan. SmartPLS (ver. 3.2.9) and IBM SPSS (ver. 26) are used for data analysis. Empirical testing confirms the significant relationship of social influence (beta=.274, p=.002), hedonic motivation (beta=0.639, p=.000), and perceived relevance (beta=0.138, p=.035) with the behavioral intention to use WhatsApp for enhancing lexical competence;and performance expectancy and collaborative learning are proved as insignificant predictors of behavioral intention. The findings should aid decision-makers in developing ELT practices and teachers in opting for innovative approaches for the benefit of language learners. The originality of the study stems from the inclusion of external factors in the UTAUT model. The ramifications for MALL theory and practice have been examined in light of these findings.

4.
Journal of Content, Community and Communication ; 12:42-56, 2020.
Article in English | Scopus | ID: covidwho-1061245

ABSTRACT

Social media has turned into a fertile ground for COVID-19 fake news. The present study aims to provide a hypothetical and empirical background to elucidate the psychological and behavioral aspects of information processing and susceptibility of sharing the fake news, with especial reference to COVID-19 news on social media. The study explores the relation between the select variables and heuristic and systematic information processing. Grounded on prior studies, this paper presents a research model to address susceptibility of sharing the fake news on social media, and identifies characteristics that may be more susceptible than others for sharing fake news on social media including Sharing Motivation (SM), Social Media Fatigue (SMF), Feel Good Factor (FGF), Fear of Missing out (FoMO), News Characteristics (NC) and five Big Personality Traits. The data collected from 244 respondents was analyzed with the help of IBM SPSS 23, using descriptive and statistical test, including means, standard deviations, and correlation analysis conducted. Correlation exploration was utilized to study the association between the select variables and systematic and heuristic information processing and susceptibility of sharing the fake news on social media. The findings show several factors contribute to information processing in both modes. The study confirms that heuristic processing is significantly associated with susceptibility of sharing fake news. The research adds to the media studies, behavioral and psychological disciplines, as it examines the relationships between the select variables and the systematic and heuristic information processing and COVID-19 fake news on social media. The present investigation makes an innovative and original contribution to media studies by exploring the relationship between select variables and susceptibility for sharing fake news on social media. The study presents a research model to identify the influence of select variables on information processing and the susceptibility to falling prey to fake news on social media and contributes to the domain to media studies. © 2020. All Rights Reserved.

SELECTION OF CITATIONS
SEARCH DETAIL