Analysis of stock market crash during COVID -19
The Coronavirus pandemic has been observed to have had a dramatic impact on the Stock market and financial sectors all over the world. The pandemic has severely affected economies and the stock market in many emerging countries and continues to do so. There has been a sudden unprecedented dip which has adversely affected investors in only a short time. This paper aims to analyze and understand the effects of Covid 19 on the stock market and the global economy. The spillover of the pandemic in various sectors like banking, entertainment, health, education is deeply studied and reviewed. The research method used in the paper is a systematic literature review of the research with the cluster of keywords identified as the central objective. The paper aims to understand the different scenarios of the stock market and how it crashed during the pandemic.
Published by: Samaksh Khandelwal
Author: Samaksh Khandelwal
Paper ID: V7I6-1200
Paper Status: published
Published: November 18, 2021
Study of self drug administration among 2nd professional medical students
Background Self-medication is very common in our day to day life which is an unhealthy and risky practice. Present study was done to determine the knowledge, attitude and practice among 2nd Professional medical students of RIMS, Ranchi, Jharkhand. Material & Methods A questionnaire related to self-medication with consent was prepared and distributed among the students of 2nd Professional. Data was collected and analysed the results expressed as counts and percentages. Results Total 50 students participated in the study for taking self-medication and was no need to visit the doctor for minor illness. In maximum students, source of information of the drugs used for self-medication pharmacological based and learning process in the college. The source of drug was medical store. Most of the students took self-medication for loose motion & headache followed by cough, cold & fever. Out of total 50 students most of the students took paracetamol tablet as self-medication. Conclusion This study showed that third professional medical students after they studied pharmacological books they do not use any wrong medicine as self-medication. High level of awareness of 2nd Professional students has minimized self medication. Key words- Self-medication, Questionnaire, 2nd Professional.
Published by: Dr. Hansraj Kumar, Dr. Uma Shankar Kesari, Dr. Akash Chandra, Dr. Rajiv Kumar
Author: Dr. Hansraj Kumar
Paper ID: V7I6-1142
Paper Status: published
Published: November 18, 2021
High-speed machining in milling process – A review
This article presents a review work on high-speed milling as reported in various journals and proceedings. High-speed milling is an advanced metal cutting process that involves rapid speed and feed rates to improve productivity and surface finishing quality. This technology eliminates the disadvantages of traditional machining. Wear and breakage of tools, material behavior certain hard to machine metals, effects of various cutting parameters on surface finish, and its modern technique are discussed in this paper.
Published by: Hemant Kumar P., Madhumitta P., Sankar Vignesh M.
Author: Hemant Kumar P.
Paper ID: V7I6-1192
Paper Status: published
Published: November 18, 2021
Role of machine learning in text classification – An extensive review
Cyberspace has elevated business insights and created a virtual space to store all forms of information online. Due to the rapid development in the online world, the usage of digital documents has increased because it is comfortable for the users to share, update or keep track of the records in one place without losing data. However, maintaining massive data does not suit optimal decision-making and is extremely expensive for storage, processing, and collection. There is a gigantic possibility that human annotators make errors while classifying data because of distraction, monotony, fatigue, and failure to meet the requirements. Once the text classification method uses machine learning approaches, the process will execute with fewer mistakes and more accuracy. The main goal of this review paper is to highlight and explain the role of different machine learning methodologies in text classification. Concurrently, this paper describes the challenges faced by other machine learning techniques and text representation. Furthermore, this review paper will provide an extensive survey on how various machine learning techniques such as Neural Networks, Naive Bayes, Logistic Regression, Random Forest, Decision Trees, and Support Vector Machine (SVM) - are implemented in Text classification.
Published by: Amisha Srivastava, Kushagra Jain
Author: Amisha Srivastava
Paper ID: V7I6-1203
Paper Status: published
Published: November 18, 2021
Issues and challenges faced by vendors in unorganized setup – A study on vegetable vendors of Chhatarpur District, Madhya Pradesh
Developing countries like India with flooded populations provide a very limited amount of employment avenues in organized sector that needs highly skilled individuals. So the extended need of employment remains unmet which insists the majority of unskilled and illiterate population to dig the opportunities available in unorganized sector. Vegetable vending on being an unorganized sector work provides opportunities for unskilled people to get engaged with very low level of initial investment but in absence of any policy or rule at ground level the situation of vendors remains abysmal. The paper intends to ascertain the problems, gender representation, socio-economic status, literacy level and other issues encountered by vegetable vendors in Chhatarpur district of Madhya Pradesh. Data has been collected from three different vegetable markets of Chhatarpur. Study infers that vendors have multiple challenges and impediments which forced them to live a miserable life. Appropriate policies, social security schemes, permanent place of selling and curbing on goons at ground level can have positive impact on the lives of vegetable vendors and their family members.
Published by: Gautam Choudhary, Angita Raghuwanshi
Author: Gautam Choudhary
Paper ID: V7I6-1195
Paper Status: published
Published: November 17, 2021
Design, analysis, and fabrication of an electric hybrid dune buggy
This paper's main goal is to discuss all aspects of designing an electric hill buggy. In this consideration, a hitherto unseen and lighter rising buggy chassis is offered. Using Autodesk Combination 360, a CAD model of the chassis was created, as well as a Limited Component Investigation. To mimic the effect behavior on the chassis, a stacking model of 4g, 6g, 8g, 10g, and 16g was used, Fabric selection, chassis design, crosssection assurance, and roll cage quality requirements were all part of the planning and development process. To build up our directing, we followed Ackermann's controlling geometry. Lotus Shark was used to plan and test the suspension architecture of the rover speed and clamp force of the vehicle. The results of simulations performed in Autodesk Fusion 360 under various loading situations revealed that this design has shown appropriate resistance to deformation in front, rear, and side-impact testing. There was more than one aspect of safety in every circumstance. As a result, the suggested design was shown to be totally safe in testing settings. Before putting it to the test in real-world situations, however, comprehensive modeling and simulation studies are required. The Lotus Shark simulations revealed that the suspension geometry chosen for our design had the least amount of bump steer, camber angle shift, and toe angle change during suspension bump and droop. A dune buggy is a vehicle designed for use on dunes and roads. Such a type of vehicle is primarily used for recreational purposes.
Published by: Poojith Kannan T., Karthick S., Santhana Srinivasan A., Raghul Yadhav E., Ranjit Kumar
Author: Poojith Kannan T.
Paper ID: V7I6-1193
Paper Status: published
Published: November 16, 2021
