Built to close the gap left by try.NET, the free course gives developers a practical, interactive way to learn modern ...
Researchers discovered that a lattice-like skeleton beneath neuron membranes regulates endocytosis, controlling nutrient and protein uptake.
Abstract: Shape control of deformable linear objects (DLOs) is a major challenge in robotics due to their high-dimensional, nonlinear dynamics and sensitivity to boundary conditions. Existing ...
Background In an ophthalmology emergency department, determining treatment urgency is crucial for patient safety and the efficient use of resources. The aim of this study was to use artificial ...
Neural stem cells (NSCs) hold significant potential in neural regenerative medicine, yet research faces multiple challenges such as cellular heterogeneity, unclear microenvironment interactions, and ...
This repository contains a Monte-Carlo solver to train neural-network variational wavefunction to solve continuous-space Fermi systems [M Geier, K Nazaryan, T Zaklama, L Fu, Phys. Rev. B 112, 045119 ...
Deep learning has added a new dimension to engineering applications, from 5G signal processing to predictive maintenance in power grids. It automatically detects equipment failures and optimizes ...
On September 5th, Amanda Ray, a graduate student at the Hopkins’ Gordus Lab, presented her dissertation defense, titled “Understanding How Sensory and Motor Information are Processed in a Neuron of ...
Finnegan’s Lynn Parker Dupree and Baker McKenzie’s Lothar Determann discuss a wave of new state laws regarding brainwaves tracked by wearable devices, or data derived from the activity of a person’s ...
The Supporting Information is available free of charge at https://pubs.acs.org/doi/10.1021/acs.jcim.5c01525. Efficiency analysis of different normalization strategies ...
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