Classification of CT Scan Images for diagnosis of Covid-19 using Deep Learning

Coronavirus diseases is a contagious transmissible infectious malady rooted by the SARS-CoV-2 virus and it mostly affects the lungs thereby causing a global health care problem. Coronavirus triggers respiratory tract infection by infecting upper respiratory tract consisting of sinuses, nose, and throat or lower tract of respiratory system that includes windpipe and lungs. WHO proclaimed the COVID-19 outbreak a global epidemic. To control the spreading of novel Coronavirus, early detection and cure is mandatory. Although RT-PCR test is used to detect the infected humans but owing to colossal demand RT-PCR kits are now limited, and its low reliability made way for implementation of radiographic procedures such as X-Rays and Computed Tomography-Scan for symptomatic purposes. These come with a great specificity for diagnosing and detecting Covid-19 instances. This study suggests adopting a Deep Learning technique to automate the diagnosis of COVID19 infection using CT scans of patients for explicit identification of Covid-19. CNN namely Densenet, Inception and Xception networks or architectures are used in a deep learning architecture to distinguish human beings based on whether confirmed positive or not for COVID-19 infection. These networks are then collated on the ground of their accuracy and the outcomes procured from various CNN models are analysed to obtain a robust system. © 2022 IEEE.

Work Environment,Stress andburnout among Security Personnel during Covid 19 Pandemic

Background: Odisha was also affected by the spread of the novel coronavirus (SARS-Cov-2), responsible for the COVID-19 disease. For its mitigation the health system in a tertiary care institution was frantically deploying all personnel like from health , security, food handlers , dealing with transportation. Objective: Our aim was to assess exposure, perceptions, workload, and possible burnout of Security personnel during the COVID-19 pandemic and to suggest specific recommendations based on the study findings. Methodology: The type of study was a cross sectional study, placed at Cuttack district in Odisha. Time Period of this study was Aprilto June 2021. 465 were finally included in the study. On the days of the mental health status assessment security personnel's were appraised and accordingly a predesigned, pretested questionnaire was implemented to them. Results: 57.5% males and 67.2% females were at the risk of burn out while 38.4% and 32.4% were at the edge of severe burn out. There was a significant difference in the mean score between those aged less than 30 years at F (5.434, 2) and those between 30 to 50 years as well as those aged above 50 years with p- value 0.008 and 0.009 respectively. Conclusions: Specific strategies have to be recommended and adapted like changing work pattern taking breaks, avoiding overtime, balance work with life. The task should include different skills to cope with stress, time managementand social support from family, friends and peer. Besides this various relaxation strategies to promote fitness, developunderstanding of life, counseling, better sleep, exercise, and good balanced nutrition.

Socially-Oriented Approach to Financial Risk Management as the Basis of Support for the SDGs in Entrepreneurship

This paper demonstrates that the level of financial risks and the impact of the COVID-19 pandemic and crisis on them are high. The existing approach to financial risk management is not very effective and does not allow coping with financial risks in entrepreneurship, not even in a certain category of countries. As a prospective alternative, we offer a new socially-oriented approach. The theoretical value of the paper lies in the offering and scientific substantiation of a new hypothesis: that the SDGs could and should be constantly supported by business in their financial risk management with the help of the socially-oriented approach, which is available and expedient for use under the conditions of economic crisis. The practical value of the received results is as follows: the developed new (alternative) socially-oriented approach to financial risk management in entrepreneurship allows increasing the effectiveness of financial risk management in entrepreneurship and raising its robustness against the current COVID-19 crisis. The social importance of the obtained conclusions and results is that the developed approach allows for and stimulates continuous support for the SDGs in entrepreneurship.

Wildlife trade, pandemics and the law: fighting this year's virus with last year's law

This work describes the interactions between the trade in animals, regulations and the incidence of zoonoses, with emphasis on the current COVID-19 pandemic. The specific topics include the involvement of the World Health Organization, World Organization for Animal Health, CITES and other international organizations;national law assessments on animal health, animal welfare, animal quarantine, CITES implementing laws, customs, food safety, indigenous rights, meat industry, pet trade and wildlife conservation and trade;areas of concern;future opportunities and the next steps to be undertaken. This paper is the follow-up to a brief survey of legislation conducted by Legal Atlas in June 2020 regarding the existing legal approaches to controlling zoonotic disease risk in the context of wildlife trade.