In a recent study, researchers from the Indian Institute of Technology Kanpur have explored the use of a new blend of chromium (III) as an eco-friendly electrolyte for depositing chromium-based coatings on metallic barrels. They reinforced chromium with carbon nanotubes (CNTs) and a ceramic compound called yttria stabilised zirconia (YSZ), to improve the properties of the coat.

A recent assessment by the World Meteorological Organisation has declared heat waves as the deadliest extreme weather event in the years 2015–2019, causing more than 8,900 deaths globally. In May 2015, temperatures crossed 45°C in Odisha and Telangana in the fifth deadliest heat wave in history, with a death toll of 2,300. With 30% of the global population living in regions susceptible to 20 heat wave days in a year and the rising global temperatures, one can conclude that its toll will only increase in the years to come. In such situations, warnings about impending heat waves can be lifesavers. However, very few studies have focused on such a prediction system to date, with none looking at real-time predictions. Now, researchers have developed a prediction system to predict heat waves a couple of weeks in advance. The study, funded by the Ministry of Earth Sciences, Govt. of India, was published in the journal Scientific Reports.

Among the various types of cancer, Urothelial Bladder Cancer (UBC) is responsible for around 2 lakh deaths per year around the world. This cancer affects the inner lining of the bladder and is the most common form of bladder cancer. It usually affects aged individuals, with blood in urine and painful urination as the first sign of its manifestation. Conventional methods of treatment involve surgical removal of cancerous tissue in the bladder and chemotherapy.

Prof Subimal Ghosh, Professor at the Department of Civil Engineering, Indian Institute of Technology Bombay (IIT Bombay), has been awarded the Shanti Swarup Bhatnagar Prize 2019 by the Council of Scientific and Industrial Research (CSIR). This award recognises his significant contributions to our understanding of how land surface processes influence the Indian monsoon, as well as for improving regional monsoon simulations and predictions.