ABSTRACT
The current generation data is most valuable in people's life, because data only decided people's health affected in COVID'19 or not, and not only COVID'19 all related to health issues data. To analyze and predict the health issue data by using Machine Learning Algorithm. This prediction issues data has most confidential data and need more security. So, applying the previous method is ChaCha method. This method focusing only performance not fully security. The new method is BR22-01. This method has five stages. The 1st stage is finding the secret key x & y value. The 2nd stage is applying key in Eq. (1). The 3rd stage is merge all values into single row then pair from left and swap the values in the HS matrix. The 4th stage is applying key in Eq. (2). The 5th stage is merge all values into single line then pair from left and swap the values in the HC matrix but reverse. The new method has provide good security as well as performance while compared to ChaCha method. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.
ABSTRACT
We examine the effect of COVID-19-induced lockdown on the profitability of listed firms in India. We use quarterly income statement of 4168 listed firms for the period between April–June 2020 quarter and April–June 2022 quarter and compare their financial data with previous quarters (2015–2019). Using a difference-in-difference estimation framework and various profitability measures, we find that the COVID-19 lockdown has reduced profits by around 15 per cent for listed firms in India. Our results are robust to various robustness tests and alternate specifications. We find evidence of firms losing revenues more than expenses, thus leading to decline in profits. The main effect is conditioned by firm-specific factors. Specifically, firms that are smaller, older, unlisted and that do not belong to any group witnessed larger decline in profitability due to lockdown. Additionally, the effect of lockdown is more pronounced in areas that had lower mobility and higher COVID-19 spread. These results underscore the importance of institutional factors and pre-existing firm characteristics in conditioning the impact of lockdown on firm profitability. © 2023 The Economic Society of Australia.
ABSTRACT
Kombucha, originated in China 2000 years ago, is a sour and sweet-tasted drink, prepared traditionally through fermentation of black tea. During the fermentation of kombucha, consisting of mainly acidic compounds, microorganisms, and a tiny amount of alcohol, a biofilm called SCOBY forms. The bacteria in kombucha has been generally identified as Acetobacteraceae. Kombucha is a noteworthy source of B complex vitamins, polyphenols, and organic acids (mainly acetic acid). Nowadays, kombucha is tended to be prepared with some other plant species, which, therefore, lead to variations in its composition. Pre-clinical studies conducted on kombucha revealed that it has desired bioactivities such as antimicrobial, antioxidant, hepatoprotective, anti-hypercholestorelomic, anticancer, anti-inflammatory, etc. Only a few clinical studies have been also reported. In the current review, we aimed to overhaul pre-clinical bioactivities reported on kombucha as well as its brief compositional chemistry. The literature data indicate that kombucha has valuable biological effects on human health.
ABSTRACT
Purpose The aim of the paper is to identify the causal effect of the COVID-19 induced crisis on students' decisions about their educational plans. The authors hypothesise that students adjusted their decisions by delaying graduation, dropping out or change the field of education because of increased uncertainty about future employment and monetary returns. Design/methodology/approach The empirical approach is based on a survey done during the first wave of COVID-19 in Slovenia. The probability of dropping out, prolonging or stop-out is designed by applying probit and probit with insturmental variables empirical model. Findings Primary orientation towards work increases the probability of dropping out and financial constraints increase the probability of prolonging studies. The same holds after accounting for endogeneity. However, the authors do not find that poor job expectations due to COVID-19 affect students' decisions to prolong, drop-out or stop-out. The authors also find that the primary orientation toward work or study explains the differences in the probability of each outcome that is not influenced by enrolment in a particular field of study. Research limitations/implications The results cannot be read as an objective prediction of the impact of the COVID-19 crisis on college failures. However, the study provides insight into how students' expectations change their intentions to prolong, drop-out, or stop-out during periods of high uncertainty. The extent, to which measured intentions are realised, however, is uncertain. Practical implications Understanding the response diversity and motives behind students' study decisions represents extremely valuable insights for economic policy. Mapped apprehensions, augmented by heterogeneity in personal and financial characteristics, are relevant for policymakers. In terms of future research, it would be interesting to analyse what changes occurred over a five-year period, specifically which field of study was most affected by students' adjusted plans due to the pandemic. Social implications Students have always been a special group in the labour market. After the initial shock of closing activities, studying online and the drastic decrease in student work due to COVID-19, the decision was made in spring 2020 to continue on the chosen path or not. This paper provides insight into the changing decision students made about their educational plans. Originality/value This paper is one of the first to highlight the implications of COVID-19 for the adaptation of student plans in the transition from school-to work in Europe. It departs from the classical literature of college failures, as specific macroeconomic conditions influence students to reconsider their educational decisions. Moreover, the paper also contributes to the rapidly growing literature on the impact of the COVID-19 pandemic on household-level labour market outcomes, particularly with respect to job search and labour supply decisions in general.
ABSTRACT
Background: The corona virus disease 2019 (COVID-19) pandemic has highlighted the fact that there are few effective antiviral agents for treating severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infections. Although the very recent development of vaccines is an extremely important breakthrough, it remains unclear how long-lived such vaccines will be. The development of new agents therefore remains an important goal. Purpose: Given the multifaceted pathology of COVID-19, a combinatorial formulation may provide an effective treatment. BEN815, a natural nutraceutical composed of extracts from guava leaves (Psidium guajava), green tea leaves (Camellia sinensis), and rose petals (Rosa hybrida), had previously shown to have a therapeutic effect on allergic rhinitis. We investigated whether BEN815 possesses anti-inflammatory, antiviral and antioxidant activities, since the combination of these effects could be useful for the treatment of COVID-19. Study design: We examined the anti-inflammatory effects of BEN815 and its principal active components quercetin and epigallocatechin gallate (EGCG) in lipopolysaccharide (LPS)-induced RAW264.7 cells and in an LPS-challenged mouse model of endotoxemia. We also assessed the antioxidant activity, and antiviral effect of BEN815, quercetin, and EGCG in SARS-CoV-2-infected Vero cells. Methods: The principal active ingredients in BEN815 were determined and quantified using HPLC. Changes in the levels of LPS-induced pro-inflammatory cytokines interleukin (IL)-6 and tumor necrosis factor (TNF)-α were measured by ELISA. Changes in the expression levels of cyclooxygenase (COX)-2 and inducible nitric oxide synthase (iNOS) were analyzed using western blotting. Antioxidant assay was performed using DPPH and ABTS assay. SARS-CoV-2 replication was measured by immunofluorescence staining. Results: BEN815 significantly suppressed the induction of IL-6 and TNF-α as well as COX-2 and iNOS in LPS-induced RAW264.7 cells. In addition, BEN815 protected against LPS-challenged endotoxic shock in mice. Two major constituents of BEN815, quercetin and EGCG, reduced the induction of IL-6 and TNF-α as well as COX-2 and iNOS synthase in LPS-induced RAW264.7 cells. BEN815, quercetin, and EGCG were also found to have antioxidant effects. Importantly, BEN815 and EGCG could inhibit SARS-CoV-2 replications in Vero cells. Conclusion: BEN815 is an anti-inflammatory, antiviral, and antioxidant natural agent that can be used to prevent and improve inflammation-related diseases, COVID-19.