Skoltech researchers have used the supercomputer to perform a very precise sensitivity analysis to reveal crucial parameters for different crop yields in the chernozem region of Russia, famous for its high-quality, fertile soil. Agricultural lands occupy 13 percent of the territory of Russia, droughts, dryness, humus reserves exhaustion are the major negative factor for national agriculture. Being able to simulate all possible variants, reveal the most crucial parameters without time-consuming and costly work is important.
A new study concludes that opening clinics dedicated specifically to treating influenza can limit the number of people infected and help to 'flatten the curve,' or reduce the peak prevalence rate. While the work focused on influenza, the findings are relevant for policymakers seeking ways to reduce impacts of the ongoing COVID-19 pandemic.
A new iron intervention study has determined which of the world's low-and-middle income countries would benefit from using iron-containing micronutrient powders to tackle childhood anaemia.
Since the discovery of COVID-19, a warlike analogy is frequently used to define our interaction with the virus, but in many ways we may be at war with ourselves.
Now researchers at MIT and Caltech have shown that the weird, quantum effects of entanglement could theoretically give blackjack players even more of an edge, albeit a small one, when playing against the house.
At Japan Advanced Institute of Science and Technology, researchers have successfully established relationships between games and law of motions in mind through analogy of physics and game refinement theory.
High-resolution analysis of wind speed across Saudi Arabia can help fast track the expansion of the Kingdom's emerging world-class wind energy industry.
Meet PolyA-miner, a new computational tool that enables scientists to evaluate the contribution of alternative polyadenylation to gene regulation in health and disease.
Scientists at PPPL have furthered understanding of a barrier that can prevent doughnut-shaped fusion facilities known as tokamaks from operating at high efficiency by causing vital heat to be lost from them.
Skoltech researchers and their industry colleagues have created a data-driven model that can forecast the production from an oil well stimulated by multistage fracturing technology. This model has high commercialization potential, and its use can boost oil production via optimized fracturing design.