A worldwide outbreak of a respiratory illness, first detected in December 2019 in Wuhan city, Hubei province, China is ongoing. The disease is caused by a novel coronavirus, SARS-CoV-2 and on February 11, 2020, was officially named Coronavirus Disease 2019 (COVID-19) by the World Health Organization. Within few weeks, it has spread globally to the extent that World Health Organization declared it as a global pandemic on March 11, 2020. India’s first positive case was reported on January 30th in Kerala. Before March 3rd, India had 3 cases of coronavirus in Kerala all of which were treated and discharged. On March 3rd, India’s 4th case was diagnosed in the state of Rajasthan. Indian government had announced a number of preventive measures to minimize the entry and spread of coronavirus. On March 3rd, India announced the suspension of all visas issued to Italy, Iran, South Korea and Japan. India banned international flights from March 22nd. A 21-day lockdown across the country was imposed from March 26th, which later got further extended. Rigorous contact tracing and tracking of COVID patients and monitoring home quarantine helped in preventing community transmission. The aim of this work is to describe the experience with clinical and epidemiologic features, as well as with the management of COVID-19 patients in north India. This is a descriptive study of the 17 COVID-19 infected patients confirmed with polymerase chain reaction (PCR) and admitted to a tertiary care centre in India from March 11th 2020 to April 16th 2020. The present work also provides insight in to treatment provided and final outcome of the patients infected with COVID-19 in India. Laboratory investigations in COVID-19 patients in the Indian subcontinent reveal lymphopenia as predominant finding in hemogram. Patients with older age and associated comorbidities (COPD, hypertension and diabetes) seem to have greater risk for lung injury, thereby requiring oxygen support during the course of disease.

This paper highlights the lack of common or acceptable standards of size charts across categories in Indian fashion industry where each manufacturer follows own or foreign sizing systems. The author dwells on initiatives taken by Government of India as well as individuals that have embarked on this journey of creating India specific size charts which is ongoing process. The purpose of this paper is to develop a sizing chart for teenage (17 to 19 years) girls based on anthropometric body measurements, with the objective to ensure apt garment fitment. This pilot study captures anthropometric data of 25 teenage (17 to 19 years) girls consisting body weight, length and girth measurements, amounting to total 26 measurements. The author computes mean, mode and median values to understand the central tendency of sizing charts. Further the paper evaluates the correlations between each anthropometric measurement across all measurements to identify key correlations using coefficient correlation technique. Standard deviation is leveraged to derive size categories, intervals and separate the outliers. The author concludes and recommends a model for developing standard sizing charts to cover most of the population.

If a device tells you whatever garment you are wearing is not the best fit for your body, would you change? If yes, then Computing wearable's are fosters for providing personal information to the wearer about their body measurements. In medical sciences computing wearables not only track your day to day health-related data but also help in effective implementation of prevention and treatment techniques. Online apparel shopping is an easy method, which consumes less time and you can find everything you need. Apparel fitment becomes a key between acceptance and disappointment. In India there are no standard size charts available so apparel manufacturers are using size charts as per their own understanding and research. This may irritate the customers while trying to identify appropriate size, and may result into rejections, return of apparel. According to recent studies, between 20-40% of all online apparel purchased 70 % is returned, only due to issues with fit alone, which costing fashion e-tailors millions. Here the Body measurements data generated through computing wearable's can be an innovative and interactive method for selection of right garment which may put conventional taking body measurements method out of the market.

Water is one of the most important issues of our time intertwined with global warming and population expansion. The management of water supplies and the conservation of water resources remains one of the most challenging yet exciting issues of our time. These rapidly growing industries spill out a lot of hazardous plastic waste, oil waste, chemicals waste, masonry and concrete, vegetable matter, and many more wastes in the water. It is of major concern that these industries are contaminating throughout the world. Oily sludge obtained as a waste from petroleum or refinery industries contain significant metal ions which thoroughly mix and pollute the water. Metal ions like As, Cr, Co, Cu, Fe, Pb, Ni, Zn, Cd, and Mn are found in oily sludge of refinery industry and may harm plants, animals, and humans due to their long-term preservation and also causes groundwater contamination. These metals are recovered by electrochemical methods, which attempt to target recycling heavy metal resources with minimizing energy consumption, boost recovery efficiency, and realize the commercial application.