Effect of Neurofeedback Training on male Swimmers' Stress Tolerance

This study aimed to analyze the effect of eight weeks of neurofeedback training to increase the stress tolerance level of swimmers the current researchers examined six all-India inter-university male swimmers. For the pre-test and post-test data on stress tolerance of swimmers, the current author used the computer-based, pre-designed "Determination Test" on the Schuhfried "Vienna Test System", and the alpha and beta training was provided by the pre-designed Med-Life biofeedback/neurofeedback system. Swimmers go-through under rigorous training cycle andat the time of the race, and to reduce that stress, the current author conducted this study on swimmers and found the difference in the mean of the pre-test, i.e., 27.67, while the post-test mean was 59.5;hence, the value of the t-statistic(5.338) is also significant to its corresponding p-value, i.e., 0.003, which is less than 0.05, which shows the significant difference between the pre-test and post-test, thus leading the current authors conclude that there was a significant improvement in the swimmers' perception of their stress tolerance level and, it shows that the 21 tutelage sessions were effective in increasing the swimmers' stress tolerance level, which can help the swimmers maintain an optimal state at the time of the race.Copyright © 2023, Anka Publishers. All rights reserved.

Sentiment Analysis of Twitter Corpus related to COVID-19 induced Lockdown

During the global COVID-19 outbreak, social media has been the biggest platform for the rapid spread of both accurate and inaccurate information. This infodemic has given rise to a plethora of misinformation manifesting in the form of mass fear and anxiety. According to a study conducted by the Oxford Researchers, 59 percent of the inaccurate information associated with Covid pandemic that has been invalidated by the fact checker remain on Twitter without any prior warning1. This paper analyzes the psychometric impact of COVID-19 infodemic using Stacked LSTM model and Stanford's pretrained GloVe embeddings. In this, sentiment score ranging from-1 to +1 was computed for more than 6.7 tweets, where-1 denotes purely negative sentiment and +1 represents positive sentiment. This research provides insights into Corona virus psychometric progression, and outlines the proposed methodology, its implications, limitations and opportunities. © 2021 IEEE.

Protease Inhibitors: Strategy to Disrupt COVID 19 Contagion (preprint)

Background: The COVID 2019 (Corona Virus Disease) has been currently going pandemic as per WHO (World Health Organisation) situation reports. The major differentiating point in this virus is the presence of a unique furin cleavage site. Our insilico study points out to the effectiveness of a potent plant origin furin inhibitor. We exploited the aspect of the cleavage machinery of furin which is critical and indispensible for the entry of SARS-CoV-2 (Severe Acute Respiratory Syndrome –Corona Virus 2) in human cells and subsequent massive contagion. Most of the drugs are presently targeting ACEII (Angiotensin Converting Enzyme 2) receptor. But these options have injurious effects in diabetics and cardiac patients. Repurposing of old drugs are the current undergoing therapeutic measures as per the EUA (Emergency Usage Administration) of Food and Drug Administration. These aspects could be avoided if we develop a better and safer strategized drug .Methods In silico analysis of plant based protein analogs to inhibit furin protein.Results Significant interactions of proposed analogs of protease inhibitor of plant origin against furin protein. Furin inhibitors would be incredible drug targets against cancers, MERS CoV (Middle East Respiratory Syndrome) and most urgently SARS- CoV-2.Conclusion We report the first of its kind of furin inhibitor and believe that this major finding would fast track arenas for drug trials.