ABSTRACT
Online education made the digital divide visible during the COVID-19 pandemic, based on gender, economic class, locations, and different types of opportunities. Bangladeshi female varsity narratives on gender role stereotypes, economic conditions, household characteristics, family atmosphere, and online teaching strengthen the need for intersectional feminist insights. The study further examines online education potentials and pathways for more online education along intersectional lines. Qualitative methods help gauge how female university students shape their experiences with online education, and emphasize the epistemological importance of voice and women's perspectives for deeper understanding of their experiences. An ‘auto-ethnographic' approach undergirds the paper's analysis, elevating reflexive demonstrations and recommendations for more inclusive online education for female university student. © The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2023.
ABSTRACT
The history of the medical robot is not very far from the first experiment in the 1980s. Nowadays robot in the medical sector plays a vital role in monitoring patient's health condition from distance. This paper aimed at developing an auxiliary medical solution that could provide a wide range of non-invasive diagnoses carried out by an automated robot whose motion can also be controlled manually using either a mobile application or voice command. The authors also incorporate modern features of video conferences and automated patient data management systems using the Internet of Things (IoT) which eventually facilitate medical practitioners in proper investigation from distance. The results of the clinical trial among 6 persons indicated that the robot could measure different health parameters properly using the proposed non-invasive method. The non-invasive results are verified by standard testing equipment and conventional clinical investigation and are also presented in this paper. The developed medical robot having a wide range of functionality could play a significant role in reducing human workload and ensuring timely medical assistance during a challenging crisis pandemic period like COVID-19. © 2023 IEEE.
ABSTRACT
The world is now in an extremely precarious situation due to the COVID-19 pandemic. People devote a lot of time to social media sites these days. Just as social media has stood by people during this pandemic, it has also caused trouble in some cases. Excessive use of social media harms mental as well as physical well-being. In our research project, the use of social media by Bangladeshi people throughout the year 2021 has been examined to anticipate their level of addiction in this COVID-19 circumstance. The data has been gathered from people of various age ranges, occupations, and the levels of addiction have been analyzed. Using several methods and machine learning classifiers, their addiction to social media has been predicted in which the levels are categorized into four labels. Different feature selection techniques and machine learning classifiers have been employed and found the maximum accuracy, 94.05% in logistic regression. © 2022 IEEE.
ABSTRACT
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is a highly transmissible virus that causes Coronavirus disease 2019 (COVID-19). Temperature and humidity are two essential factors in the transmission of SARS-CoV-2 affect the respiratory system of human. This study aimed to investigate the effects of temperature and humidity on the transmission of SARS-CoV-2 and the Spread Covid-19. The daily number of SARS-CoV-2 infected new cases, and the number of death due to Covid-19 are considered the response variables. Data are collected from March 08, 2020 to January 31, 2021. A flexible regression model under the Generalized Additive Models for Location Scale and Shape framework is used to analyze data. The temperature and humidity have a significant impact on the transmission of SARS-CoV-2. The temperature is highly significant in the number of SARS-CoV-2 infected new cases and number of death due to COVID-19. In contrast, the humidity is significant on the number of SARS-CoV-2 infected new cases, but it is insignificant on the number of death due to COVID-19 at a 5% level of significance. The analysis revealed that both the temperature and humidity inversely affected the daily number of deaths and new cases of COVID-19. © 2021, The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.