ABSTRACT
In the recent years, especially after covid-19 became a thing, people started finding information about Retail On- Demand Services online rather than relying on local contacts. This makes it a lot easier for people to find and book services online, rather than going out and booking them in person. So, a Django-based Web application with a real time database deployed on cloud that provides details of some service providers (Carpenters, Electricians etc.) in region of Kanuru (Vijayawada, India) has been designed. Data are collected from multiple sources using a scraping code that Beautiful Soup framework is used and stored in PostgreSQL database that is later deployed on Cloud platforms. This helps people from this region to access information quickly and help them book these On-Demand Services Faster. © 2022 IEEE.
ABSTRACT
The dynamics of SARS-CoV-2 infection in COVID-19 patients are highly variable, with a subset of patients demonstrating prolonged virus shedding, which poses a significant challenge for disease management and transmission control. In this study, the long-term dynamics of SARS-CoV-2 infection were investigated using a human well-differentiated nasal epithelial cell (NEC) model of infection. NECs were observed to release SARS-CoV-2 virus onto the apical surface for up to 28 days post-infection (dpi), further corroborated by viral antigen staining. Single-cell transcriptome sequencing (sc-seq) was utilized to explore the host response from infected NECs after short-term (3-dpi) and long-term (28-dpi) infection. We identified a unique population of cells harboring high viral loads present at both 3 and 28 dpi, characterized by expression of cell stress-related genes DDIT3 and ATF3 and enriched for genes involved in tumor necrosis factor alpha (TNF-alpha) signaling and apoptosis. Remarkably, this sc-seq analysis revealed an antiviral gene signature within all NEC cell types even at 28 dpi. We demonstrate increased replication of basal cells, absence of widespread cell death within the epithelial monolayer, and the ability of SARS-CoV-2 to replicate despite a continuous interferon response as factors likely contributing to SARS-CoV-2 persistence. This study provides a model system for development of therapeutics aimed at improving viral clearance in immunocompromised patients and implies a crucial role for immune cells in mediating viral clearance from infected epithelia. IMPORTANCE Increasing medical attention has been drawn to the persistence of symptoms (long-COVID syndrome) or live virus shedding from subsets of COVID-19 patients weeks to months after the initial onset of symptoms. In vitro approaches to model viral or symptom persistence are needed to fully dissect the complex and likely varied mechanisms underlying these clinical observations. We show that in vitro differentiated human NECs are persistently infected with SARS-CoV-2 for up to 28 dpi. This viral replication occurred despite the presence of an antiviral gene signature across all NEC cell types even at 28 dpi. This indicates that epithelial cell intrinsic antiviral responses are insufficient for the clearance of SARS-CoV-Z implying an essential role for tissue-resident and infiltrating immune cells for eventual viral clearance from infected airway tissue in COVID-19 patients.
ABSTRACT
A telephonic survey was conducted during May 2020 among 675 farmers across 28 districts of 11 states of India to assess farm constraints and income losses of lockdown 1.0 and 2.0. The results indicate that labour availability and input accessibility were hurdles, but manageable to some extent. However, marketing constraints inflicted 48 and 19% losses in total expected income of perishable and non-perishable commodities and average loss per farm household was 0.93 lakh (28%). Although, income support was given through PM-KISAN, it was not adequate to compensate losses. Therefore, farm income support needs to be enhanced to cope with lockdown losses.
ABSTRACT
Corona virus is a big family of virus which cans origin disease from communal cold to additional severe disease such as MERS-CoV and SARS-CoV. A coronavirus is a new straining that has not been earlier recognized in humans. Recently, COVID-19 pandemic infection is spreading from human to human rapidly all over the world. Initially it was identified in China, December 2019. The main objective of this investigation is to identify and diagnosis the corona virus family rapidly. The RestNet-100 Convolutional Neural Network (RCNN) deep learning technique along with Logistic Regression (LR) classifier is used to identify the corona virus pandemic rapidly. The Artificial Intelligence (AI) application against COVID-19 are medical imaging, cough samples, molecular scale from protein to drug development, Lung delination etc.
ABSTRACT
The Covid 19 situation in India holds forth tremendous challenges for the Indian public healthcare system. The current situation is unprecedented. The Covid 19 s high infectivity rate coupled with a high case fatality rate have created a situation where India could see between 2 and 25 lakh deaths over the next 12 to 18 months. The final number of fatalities will depend a great deal on several factors of which surveillance is a critical one. Surveillance will determine the extent to which the government is able to mount a data driven response. Surveillance will help in identifying hot spots and clusters. This in turn will help in mounting targeted responses. In the words of the WHO director general: "Test, test, test. A fire cannot be fought blindfolded." India s response has not been satisfactory. This paper discusses the need for a stronger surveillance system and a higher testing rate. If the avalanche of Covid 19 cases requiring hospitalisation comes, the current infrastructure and manpower will be grossly inadequate for it. If India is able to set up a robust and comprehensive surveillance system across urban-rural divides, that might well be a game changer in the covid 19 battle. Failure could mean lakhs more die. Copyright © 2020 EManuscript Technologies. All rights reserved.