ABSTRACT
Student learning through online tools during the pandemic covid-19 situation has been studied and reported in this paper. Students pursuing engineering under graduation and business management post graduation were given a Google form to respond to questions related to type and kind of online platform used, difficulties in teaching-learning, expectations of students etc. Suggestions were invited for better learning online. This paper presents the results of the feedback of students on technical and non-technical issues during online learning. The online environment is sub-divided into four broad categories viz., technological, personal, teaching aids and learning management system. Influence of these parameters on effectiveness of online teaching and feedback from students are discussed. Students had difficulties in internet network, bandwidth, clarity of audio-visual, interruptions in power supply, wifi-networks, poor infrastructure and affordability. 57 percent of respondents are dependent on mobile phone instruments for online class work. Majority of students felt that online certification courses can reduce burden to some extent. The results can be used for designing better online tools for effective online learning for students. © 2023, Rajarambapu Institute Of Technology. All rights reserved.
ABSTRACT
This paper examines and ascertains the dominant and latent characteristics of the new economy post COVID-19. It acknowledges the far-reaching repercussions and long-Term societal and economic impacts caused by COVID-19. The study administered online questionnaires to professionals globally and conducted online semi-structured interviews of economists, entrepreneurs, and organizational leaders across ten countries. The study tested the hypothesis with the non-parametric Chi-square test. The interview transcripts were subjected to thematic and content analysis. The research findings have indicated the emerging changes in the economy and way of life leading to a new normal. Projections have been reported to increase digitalization and implementation in business, deglobalization, geopolitical developments, fluctuations in macroeconomic variables, and climate change. The study further revealed that hybrid work strategies would be embraced, requiring the labor market to upskill and reskill to stay competitive. Digitalization of businesses will become essential to gain a competitive advantage in domestic and international markets. The paper predicts the anticipation of changes in human behavior regarding health, personal care, and consumption patterns. The study noted the variations in the new economic trends, possibilities, challenges, and coping strategies to survive and thrive in the new economic paradigm. Therefore, these research findings provide valuable and insightful economic releases which will have profound implications in the post COVID-19 world. © 2022 K.V.Ch.Madhu Sudhana Rao et al., published by Sciendo.
ABSTRACT
Precision medicine is a therapeutic idea that advocates tailoring treatment to a specific group of individuals rather than a one-size-fits-all approach. Artificial intelligence provides insights through advanced processing and reasoning, allowing the device to reason and learn while also assisting physicians in their outcomes. Precision medicine helps to cure critical diseases like Cancer, Cardiovascular diseases, Covid-19, and etc. This review paper aims on discussing how Artificial intelligence techniques in diagnosing critical diseases and how AI is helpful to patients and clinicians by using different methodologies. © 2022 IEEE.
ABSTRACT
Corona-virus is a disease which caused immense destruction to human lives in 21st century. This virus outbreak is considered as an epidemic that spread globally. Crores of people are infected by this virus all over the world. Early detection of the virus is very much important to overcome Covid-19 crisis. This model proposes a convolution neural network model implemented using VGG-19accompanied with Transfer LearningTechnique for the Covid-19 Detection. The Covid-19 dataset considered in this model is a verified report of positive cases confirmed by both RT-PCR and CXR images. Initially, One Hot Encoding Method is used for CXR image data conversion and then pre-processing is done to extract features and then filtered data is forwarded through the VGG-19 and is further processed to Fully Connected Layers. Therefore, the model is later fine-tuned to achieve better classification results. The achieved model accuracy is around 0.94 with a loss is about 0.55. © 2022, Engg Journals Publications. All rights reserved.
ABSTRACT
The Global financial crisis of 2008-2009 severely impacted the developed economies of the world. It occurred at a time when most countries had started gaining economic growth, stability, and vibrance. Each country experienced a jolt to its economy, causing financial fragility, shocks, tragedy, and struggle. Attempts have been made to understand the root causes, economic instability, and the lessons learned from the great recession. Given the current situation of the COVID-19 pandemic, this research paper seeks to examine the global recession, its effect on the economy and finances. Our research is based on the qualitative analysis of comparing the impact of the global financial crisis and strategic recovery recession plans of the top five GDP countries in the European Union-particularly Germany, the UK, France, Spain, and Italy to draw some similarities between a recession and COVID-19 pandemic in terms of the economy. The findings indicate that the great recession had a devastating impact on the entire economy, and the world can learn valuable lessons. It notes that out of the selected five EU countries, Germany was the first to recover and bounce back by 2011, but Italy and Spain were severely hit and took longer to recover only partially. The recession recovery strategies demonstrate some similarities in economic and employment measures and differences concerning tax reforms and financial support packages initiated by all five countries. There needs to be a mechanism in which each country must prepare for untimely recessions. Thus, a developmental model has been created to enable countries to be more prepared when faced with recessions in the future years. © 2021 Mythili Kolluru et al., published by Sciendo 2021.