Gaussian Processes for Machine Learning
We give a basic introduction to Gaussian Process regression models. We focus on understanding the role of the stochastic process and how it is used to define a distribution over...
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We give a basic introduction to Gaussian Process regression models. We focus on understanding the role of the stochastic process and how it is used to define a distribution over...
<b><i>Background:</i></b> We aimed to investigate the influence of oligomeric forms of β-amyloid (Aβ) and the influence of the duration of exposure on th...
ABSTRACT The last decade has seen a sharp increase in the number of scientific publications describing physiological and pathological functions of extracellular vesicles (EVs), ...
ADVERTISEMENT RETURN TO ISSUEPREVArticleNEXTExact stochastic simulation of coupled chemical reactionsDaniel T. GillespieCite this: J. Phys. Chem. 1977, 81, 25, 2340–2361Publicat...
The reliability of the various Somogyi-Shaffer-Hartmann (1, 2) copper reagents for glucose determination in biological material has been established. Adaptation of these reagent...
Nonalcoholic fatty liver disease (NAFLD) is characterized by hepatic steatosis in the absence of a history of significant alcohol use or other known liver disease. Nonalcoholic ...
ADVERTISEMENT RETURN TO ISSUEPREVArticleNEXTTitanium Dioxide Nanomaterials: Synthesis, Properties, Modifications, and ApplicationsXiaobo Chen and Samuel S. MaoView Author Inform...
Few detailed clinico-pathological correlations of Parkinson's disease have been published. The pathological findings in 100 patients diagnosed prospectively by a group of consul...
The mRNA-1273 vaccine showed 94.1% efficacy at preventing Covid-19 illness, including severe disease. Aside from transient local and systemic reactions, no safety concerns were ...