Impact of Covid-19 in the Society and Culture of Assam and Its Future

The recent Outbreak of the Covid-19 from the Wuhan region of China has brought the critical situation and crisis to human species around the world. The issue of 'Human Security' has brought about the global crisis. It is now under discussion. There are new challenges around the world in the field of disease and treatment. The development of a health sector rather than military power can first protect the citizens of a country or nation. The same has been taught to the People of this generation. Basically, as a biological disaster, the disease has hit the socio-cultural and economic infrastructure of the world. 'Vasant roga' was recognized as a former world outbreak. The overall environment of the Concomitant outbreak after polio, plague, Spanish flu has caused a long-term crisis in the international economy, politics and health. The SARS-CoV-2 or the COVID-19 that affect more than 195 countries around the world at the same time are also challenges the scientific development of the world's advanced capitalist countries. The overall contribution of education technology and the discovery have been questioned. Out of the 195 countries around the world 84 countries have to be on the lock down. This is the first time in human civilization that so many countries are under lockdown. In this terrible situation every nation is moving towards economic slowdown. International communication, imports and exports have been stopped. There is a terrible danger to every government, private sector associated with labour and farmer class as well as the other professions. How will the future of a developing nation like India and a developing state like Assam be in this situation? How will this affect the society, literature and culture of Assam? The proposed issue is being researched for an academic discussion on the same.Copyright © 2020 Ubiquity Press. All rights reserved.

COVID-19 Chest X-ray Image Generation Using ResNet-DCGAN Model

Detection of severe diseases like COVID-19 using deep learning (DL) models is a very time-relevant subject to be focused on looking at the present scenario. However, there is always a problem regarding the availability of significant data for the training of DL-based classification models. In this work, a ResNet-DCGAN model is proposed to generate synthesized COVID-19 chest X-ray images to tackle the data scarcity problem. Here, some image processing techniques are applied to the publicly available COVID-19 chest X-ray images. Thereafter, a ResNet50 Deep Convolutional Neural Network (DCNN) model is incorporated as the discriminator to the proposed ResNet-DCGAN model. Moreover, in this work, to train the proposed model efficiently, the RAdam optimization algorithm is used instead of the earlier Adam optimization algorithm. The proposed ResNet-DCGAN model had the edge over the state-of-the-art DCGAN model. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.