Impact of Covid-19 on Indian Rural Higher Educational Institutions

March 2020, as the Covid-19 entered the doors of India, all the doors of the school, colleges and universities were forced to shut their doors. That situation forced a universal shift to online teaching which affected the normal aspects of teachers, students, and parents also. The usage of online resources and self-personal improvement noticed a positive impact on Covid-19. India is an evolving country, and thus the adaptation of the online education system is complicated for the management, student, and faculty of fifty percent of higher educational institutions with existing facilities. The additional demonstrative baggage of insecurity besides fears around job safety, physical and psychological health and income capital, and many more are bound. It leads to a great impact and made the sudden, and for many a rather unwelcome, transition to online teaching. Scope of this paper to analyze the positive and negative impact of Covid-19 on the higher education sector and the life of Higher Educational Institute students and faculty. The survey is carried out in one of the rural universities located in the southern part of India to analyze the impact of Covid on Indian rural Higher Educational institutions.Copyright © 2022 Authors. All rights reserved.

Impact of Covid-19 on Indian Rural Higher Educational Institutions

March 2020, as the Covid-19 entered the doors of India, all the doors of the school, colleges and universities were forced to shut their doors. That situation forced a universal shift to online teaching which affected the normal aspects of teachers, students, and parents also. The usage of online resources and self-personal improvement noticed a positive impact on Covid-19. India is an evolving country, and thus the adaptation of the online education system is complicated for the management, student, and faculty of fifty percent of higher educational institutions with existing facilities. The additional demonstrative baggage of insecurity besides fears around job safety, physical and psychological health and income capital, and many more are bound. It leads to a great impact and made the sudden, and for many a rather unwelcome, transition to online teaching. Scope of this paper to analyze the positive and negative impact of Covid-19 on the higher education sector and the life of Higher Educational Institute students and faculty. The survey is carried out in one of the rural universities located in the southern part of India to analyze the impact of Covid on Indian rural Higher Educational institutions. Copyright © 2022 Authors. All rights reserved.

Lightweight Pattern Matching Method for DNA Sequencing in Internet of Medical Things.

An area of medical science, that is, gaining prominence, is DNA sequencing. Genetic mutations responsible for the disease have been detected using DNA sequencing. The research is focusing on pattern identification methodologies for dealing with DNA-sequencing problems relating to various applications. A few examples of such problems are alignment and assembly of short reads from next generation sequencing (NGS), comparing DNA sequences, and determining the frequency of a pattern in a sequence. The approximate matching of DNA sequences is also well suited for many applications equivalent to the exact matching of the sequence since the DNA sequences are often subject to mutation. Consequently, recognizing pattern similarity becomes necessary. Furthermore, it can also be used in virtually every application that calls for pattern matching, for example, spell-checking, spam filtering, and search engines. According to the traditional approach, finding a similar pattern in the case where the sequence length is l s and the pattern length is l p occurs in O (l s ∗l p ). This heavy processing is caused by comparing every character of the sequence repeatedly with the pattern. The research intended to reduce the time complexity of the pattern matching by introducing an approach named "optimized pattern similarity identification" (OPSI). This methodology constructs a table, entitled "shift beyond for avoiding redundant comparison" (SBARC), to bypass the characters in the texts that are already compared with the pattern. The table pertains to the information about the character distance to be skipped in the matching. OPSI discovers at most spots of similar patterns occur in the sequence (by ignoring è mismatches). The experiment resulted in the time complexity identified as O (l s . è). In comparison to the size of the pattern, the allowed number of mismatches will be much smaller. Aspects such as scalability, generalizability, and performance of the OPSI algorithm are discussed. In comparison with the hamming distance-based approximate pattern matching algorithm, the proposed algorithm is found to be 69% more efficient.

Social Media Reigned by Information or Misinformation About COVID-19: A Phenomenological Study (preprint)

Coronavirus disease (COVID-19) is an infectious disease caused by a newly discovered novel strain of coronavirus, SARS-CoV-2 (WHO, 2020). Most people infected with the COVID-19 will experience mild-to-moderate fever and respiratory illness with no special treatment available. As of 4 April, 2020, WHO reports 976,249 confirmed cases and 50,489 confirmed deaths in 207 countries, areas or territories, and it is too late to claim unavailability of reliable information. With the internet, social media have become the most acclaimed tool for freedom of speech, democracy, truth and source of infotainment. In a pandemic situation like the Covid-19 outbreak, social media become the most-searched venue for information-gathering. However, there are thousands of people spreading information, sensationalism, rumours, misinformation and disinformation making it crucial for Governments and experts to fight the pandemic as well as the infodemic. In this study, the researchers have attempted to find out whether social media is informing or misinforming the public with regard to the Covid-19 pandemic, adopting the qualitative method of phenomenological study. The way people use the internet and social media is changing slowly. The speed at which information spreads on social media is unimaginable and the findings of this study will help in understanding whether social media is diffusing information or misinformation to the public with regard to the Covid-19 outbreak. In-depth interviews were conducted using an open-ended question with 13 active social media users, who are frequently following the pandemic updates on different social media platforms.