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Case Study

Preventive Ayurvedic Shalyakarma (Agnikarma, Raktamokshan, Jalaukavacharan, and Siravedhan) during Pandemic COVID-19 – A practical investigation.

This is to report a single self case study of one of the author (Final BAMS-UG) student experiencing benefit of Ayurvedic Shalyakarma during working in Covid-19 Pandemic[1] as preventive and supportive treatment.Shalyatantra involves uses of various techniques or karma to facilitate surgical or para- surgical interventions and Anushalyakarma is one of them. Anushalyakarma means uses of Non-surgical instruments to perform surgical procedures- Agnikarma, Jalaukavacharan, Siravedhan, etc.[2] Anushalyakarma plays an important role in surgical interventions in Children and Adults who are afraid of weapons,and when there is no weapon nearby.Anushalya karma have been performed on Snayu(Mansaj) Granthi. It is a treatment of choice and preventive methodology during Pandemic. In this case Agnikarma is performed using Dr P.D Gupta's Panchdhatu Agnikarma Shalaka.[6]

Published by: Onkar A. Kondolikar, Varda P. Karnik, Dr. Reacha V. Deo

Author: Onkar A. Kondolikar

Paper ID: V8I1-1308

Paper Status: published

Published: February 1, 2022

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Research Paper

A study of cyberbullying detection using Machine Learning techniques

With the widespread use of online social networks and their popularity, social networking platforms have provided us with innumerable chances not previously available, and their benefits are evident. Regardless of blessings, people can be embarrassed, ridiculed, tormented, and compelled to utilize the resource of anonymous users, strangers, or peers. In this study, we offered a cyberbullying detection method to build abilities from Twitter content material by employing a pointwise mutual facts technique. We superior a supervised tool learning solutions for cyberbullying detection and multi-beauty classification of its severity in Twitter based on the one's talents. We achieved Embedding, Sentiment, and Lexicon characteristics, as well as PMI-semantic orientation, throughout the test. The extraction of features was conducted utilizing

Published by: Aishwary Suhas Shivarkar, Vaishali Bagade

Author: Aishwary Suhas Shivarkar

Paper ID: V8I1-1311

Paper Status: published

Published: February 1, 2022

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Research Paper

Service quality perception towards tangible attributes with reference to ‘three-star hotels’ in Hyderabad

The hospitality industry always focuses on service quality and service tangibility. Customers rate the hotel service performance based on service standards provided in Hotels is treated as a benchmark for service. Service quality is an important aspect of marketing theory and practise, since good quality may lead to customer happiness and loyalty, as well as successful company outcomes. It is critical for every firm, particularly in the services industry, to comprehend and grasp the expectations and perceptions of customers about a wide variety of elements impacting customer happiness and loyalty. The importance of these factors develops tremendously in the hospitality industry. The purpose of this research is to determine the value of specific quality components in the hotel sector. The data was collected via a questionnaire that included nine tangible service quality indicators that respondents scored on a five-degree scale. The factorial structure of the physical parts of hotel service was also discovered throughout the investigation. The purpose of this research is to add to the current literature by emphasising the importance of tangible service quality components and their influence on business produced by 'Three Stat hotels' in the Hyderabad area.

Published by: A. Satish Kumar, Dr. M. Ramkumar

Author: A. Satish Kumar

Paper ID: V8I1-1280

Paper Status: published

Published: January 31, 2022

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Others

An analysis on sectorial equity mutual funds

The economic reforms initiated by the Indian government over the last two decades have resulted in growth in the Indian financial service sector. Investors are offered various investment avenues. But there are investment avenues with growing risk. Mutual funds one of the investment avenues offers investors wide opportunities in diversifying their risk. There is tremendous growth and development in the mutual fund industry. Mutual funds have emerged as the best in terms of variety, flexibility, diversification, liquidity as well as tax benefits. Besides, through mutual funds, investors can gain access to investment opportunities that would otherwise be unavailable to them due to limited knowledge and resources. Moreover, due to its development, the mutual fund serves as a channel for pooling the savings of a large number of people across the country and investing in funds. Diversification of funds helps in reducing risk. Investors are faced with a common problem in selecting funds according to their investment objective. This study concentrates on the performance evaluation of the sectorial equity mutual funds during the period from 2014 to 2018. For this purpose 20 schemes have been selected in 5 different sectors (each sector 4 funds). The investment performance has been analyzed with tools like standard deviation, beta, Sharpe, and Treynor ratios. The main aim of this study is to analyze the risk in the performance of the sectorial equity mutual funds. Past performance of mutual funds explains how the fund has performed in the past and accordingly one can expect positive or negative performance in the future as well. The results indicate that overall all the selected sectorial equity mutual fund schemes have succeeded in providing a fair rate of return to the investors. Using performance parameters like Sharpe and Treynor ratio. Banking sector funds have recorded higher performance associated with high risk and high returns when compared to other sectors. However, there is some substantiation that the two schemes aren’t performing below the market.

Published by: Dr. M. Bhuvaneswari, Mohammed Suhail S. R.

Author: Dr. M. Bhuvaneswari

Paper ID: V8I1-1216

Paper Status: published

Published: January 31, 2022

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Research Paper

Making of the Instagram bot: Python

This document gives us information about virtual bots which are present in myriad social media platforms. Bots are abbreviated for a robot that works as commanded. In this paper, we will we focusing on bots present on the Instagram social application. Instagram helps to click, edit and share photos and videos. We can also follow family, friends, and public figures to keep up with their life. Bots behave as any regular genuine account like uploading images, following someone.

Published by: Ishita Pandey

Author: Ishita Pandey

Paper ID: V8I1-1310

Paper Status: published

Published: January 31, 2022

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Review Paper

Accident severity prediction

Traffic safety has always been an important issue in sustainable transportation development, and the prediction of traffic accident severity remains a crucial challenging issue in the domain of traffic safety. Based on the severity we can create awareness of happening the accidents according to the zone or place. So the goal is to predict the accident severity. Here we used classification models to find the f1 score of each model and select the best model with a high f1-score to predict the approvals. we take the input parameters, and we train data and the output will be the accident severity.

Published by: V. Rajeev Reddy, Reddy Vamsi, B. Varun Kumar, Sai Rohith, Harish Naik

Author: V. Rajeev Reddy

Paper ID: V8I1-1313

Paper Status: published

Published: January 31, 2022

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