How complex neural circuits are genetically designed and wired is a fundamental question in neuroscience. Scientists have ...

Scientists use machine learning and SPERRFY to decode the genetic wiring map that guides neural connections across the entire ...

So-called rock-eating microorganisms obtain their energy to convert carbon dioxide (CO2) from inorganic sources and make up the vast majority of biomass producers. Using electron microscopy and ...

Physics-informed neural networks were tested for their capabilities in predicting concentration profiles in gradient liquid chromatography. Rzeszow University of Technology researchers based in ...

Abstract: Due to the limited capabilities of nodes in biological nanonetworks, several nodes need to cooperate to perform complicated tasks. Therefore, a simple and efficient routing scheme is crucial ...

Thermodynamics has predicted many different kinds of microbial metabolism by determining which pairs of electron acceptors and donors will react to produce an exergonic reaction (a negative net change ...

Abstract: Predicting sea ice concentration (SIC) is an important task in climate analysis. The recently proposed deep learning system IceNet is the state-of-the-art sea ice prediction model. IceNet ...

Article Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to ...

Women's Health may earn commission from the links on this page, but we only feature products we believe in. Why Trust Us? As I was lying in bed, struggling to write the introduction to this story, I ...

Part of testing and screening drugs involves evaluating the necessary concentration of their chemical components. Concentration gradients, or gradual changes in the concentration of molecules, are ...