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For each degree of global warming, models predict 50% population displacement spike

For each degree of global warming, models predict 50% population displacement spike

Science
March 24 (UPI) -- As the planet warms, seas rise and climate change triggers shifts in precipitation patterns, scientists expect millions of people to be displaced by flooding and other forms of extreme weather. In an effort to more precisely quantify displacement risk, an international team of researchers combined a variety of climate and hydrological models. Advertisement Their analysis, published Wednesday in the journal Environmental Research Letters, showed a single degree of warming will increase the risk of displacement caused by river flooding by 50 percent. "Displacement poses many hardships, which often fall most heavily on socio-economically vulnerable groups, who tend to live in more hazard-prone areas," researchers wrote in their newly published paper. Since 2008, 288 millio...
AI used to ‘predict the next coronavirus’

AI used to ‘predict the next coronavirus’

Science
A team of scientists has used artificial intelligence (AI) to work out where the next novel coronavirus could emerge. The researchers used a combination of fundamental biology and machine learning. Their computer algorithm predicted many more potential hosts of new virus strains than have previously been detected. The findings have been published in the journal Nature Communications. Coronavirus: This is not the last pandemicCoronavirus: A year of high-speed discoveryDr Marcus Blagrove, a virologist from the University of Liverpool, UK, who was involved in the study, explained: "We want to know where the next coronavirus might come from. "One way they're generated is through recombination between two existing coronaviruses - so two viruses infect the same cell and they recombine into a 'da...
Naren’s formula to predict end of current bull run and to shift funds

Naren’s formula to predict end of current bull run and to shift funds

Finance
NEW DELHI: Despite intermittent hiccups, the domestic stock market seems to be in a secular rally, rising to record highs almost every single day. But, as with all good things, these good times will not last, and knowing when the end comes can help one avoid big losses. Predicting that moment is a risky game, but one seasoned fund manager seems to have some insight on it. He believes all one needs to do is keep track of how inflation behaves in the US. “When inflation returns in the US, that is when the bull market can end. You have to be watchful of inflation in the west. Right now they do not seem to be bothered at all, but that will be very important sometime in the future,” says S Naren, Chief Investment Officer at ICICI Prudential Mutual Fund. Trying to second-guess which sector can o...
Study: 311 calls may predict opioid overdose hotspots

Study: 311 calls may predict opioid overdose hotspots

Health
Nov. 11 (UPI) -- Call volumes to 311 -- used by many cities to report non-emergency issues -- for nuisance code violations accurately predicted future opioid overdose hotspots more than 90% of the time, a study published Wednesday by Scientific Reports found. Residents of neighborhoods with high rates of opioid-related overdoses make more calls to non-emergency hotlines reporting code violations, abandoned vehicles, darkened streetlights and other public nuisances, according to researchers. Advertisement Similarly, calls regarding public health problems -- including pest management and unsanitary conditions due to animals -- and streetlight outages were accurate predictors of future overdose hotspots more than 80% of the time, the data showed. The findings are based on an analysis of 311 ...
Health history might predict life expectancy in seniors with diabetes, study says

Health history might predict life expectancy in seniors with diabetes, study says

Health
June 19 (UPI) -- Physicians might be able to predict the five- and 10-year life expectancy of older adults with diabetes by examining their health history, including other chronic diseases and prescription medicines they use, according to a study published Friday in the journal Diabetes Care. Thirty-seven factors linked with, or suspected to impact, risk for death in older adults with diabetes -- including demographic variables and metrics such as blood pressure and blood sugar levels -- had "high predictive validity," researchers said. Advertisement Researchers say they were accurately able to identify those who would die within five years, within 10 years or more than 10 years later. "Our results identify multiple common conditions that can easily be identified in clinical practice and ...