Amidst the Coronavirus pandemic, a crosscountry lockdown is constrained in India from the outset for three weeks from 24th Walk to fourteenth April 2020 and connected up to third May 2020. As a result of the compelled constraints, tainting level in metropolitan territories the country over fundamentally blocked simply inside couple of days which spellbind discussions regarding lockdown to be the solid elective measures to be completed for controlling air pollution. The current article over the long haul worked on this going to see the air quality circumstance amidst the lockdown time span coherently with exceptional reference to the megacity Delhi. With the guide of air quality data of seven poison limits (PM10, PM2.5, SO2, NO2, CO, O3 and NH3) for 34 checking stations spread over the megacity we have used Public Air Quality File (NAQI) to show the spatial illustration of air quality in pre and during-lockdown stages. The results demonstrated that during lockdown air quality is in a general sense improved. Among the picked poisons, centralizations of PM10 and PM2.5 have seen most noteworthy diminishing (>50%) interestingly with the pre-lockdown stage. Interestingly with the latest year (for instance 2019) during the said time interval the diminishing of PM10 and PM2.5 is as high as about 60% and 39% independently. Among various poisons, NO2 (−52.68%) and CO (−30.35%) level have in like manner diminished during-lockdown stage. About 40% to half improvement in air quality is recognized not long after four days of beginning lockdown. About 54%, 49%, 43%, 37% and 31% diminishing in NAQI have been seen in Focal, Eastern, Southern, Western and Northern bits of the megacity. For the most part, the examination is accepted to be an important improvement to the regulatory bodies since it showed the tainting source control can choke the air quality. Brief such source control in a suitable stretch of time may recover the atmosphere.

has fundamentally disrupted the way we live. Government bodies, universities, and companies worldwide are rapidly developing technologies to combat the COVID-19 pandemic and safely reopen society. Essential analytics tools such as contact tracing, super-spreader event detection, and exposure mapping require collecting and analyzing sensitive user information. The increasing use of such powerful data-driven applications necessitates a secure, privacy-preserving infrastructure for computation on personal data.In this paper, we analyze two such computing infrastructures under development at the University of Illinois at Urbana-Champaign to track and mitigate the spread of COVID-19. First, we present Safer Illinois, a system for decentralized health analytics supporting two applications currently deployed with widespread adoption: digital contact tracing and COVID-19 status cards. Second, we introduce the RokWall architecture for privacy-preserving centralized data analytics on sensitive user data. We discuss the architecture of these systems, design choices, threat models considered, and the challenges we experienced in developing production-ready systems for sensitive data analysis.

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For the past ten years, the prevalence of suicide completions among service members has increased, with rates greatly exceeding those seen within the US civilian population. In response, the Department of Defense, Department of Veterans Affairs, and each branch of the military collaboratively implemented strategic approaches to improving existing suicide prevention programs and invested in the development of innovative programs. These approaches include consolidating suicide event reporting into a central database, reducing the stigma associated with help-seeking behaviors, enhancing resilience among service members, improving aspects impacting service members’ overall quality of life through an expansion of benefits and services, and improving the physical, psychological, social, and spiritual well-being of service members. This article explores the evolution of these suicide risk prevention efforts in consideration of the effectiveness of different strategies used by military branches and veteran programs.