Recently, deep learning has reached significant advancements in forgylt s?lv various image-related tasks, particularly in medical sciences.Deep neural networks have been used to facilitate diagnosing medical images generated from various observation techniques including CT (computed tomography) scans.As a non-destructive 3D imaging technique, CT sc
The recent ACE-2, EPIC and forgylt s?lv DYCOMS-II field experiments showed that the drizzle precipitation rate of marine stratocumulus scales with the cloud geometrical thickness or liquid water path, and the droplet concentration, when averaged over a domain typical of a GCM grid.This feature is replicated here with large-eddy-simulations using st
Abstract Modelling insulin-glucose homeostasis may provide novel functional insights.In particular, simple models are clinically useful if they yield diagnostic methods.Examples include the homeostasis model assessment (HOMA) and the quantitative insulin sensitivity check index (QUICKI).However, limitations of these approaches have been criticised.
Since the disintegration of the Soviet Union, the new states of Central Asia have been obliged to adjust their institutions to new symbolic frontiers and to take into account the independence they achieved in 1991.Both universities and Academies of Sciences have been called to reconsider their research policies and to orient them in order to respon
This paper addresses the critical question of how to turn climate concern into climate action as we move forward towards the 1.5-degree Celsius global warming target adopted by COP 26 in 2021 and reaffirmed by COP 27 in 2022.It argues that it has taken scientists more than a Century to accept, first: that climate change is real and second: that it