The last 2 years have been a period of unprecedented growth for the MOOSE community
and the software itself. The number of monthly visitors to the website has grown from just …

The permeability of complex porous materials is of interest to many engineering disciplines.
This quantity can be obtained via direct flow simulation, which provides the most accurate …

Neurons in navigational brain regions provide information about position, orientation, and
speed relative to environmental landmarks. These cells also change their firing patterns …

Purpose To develop a scan‐specific model that estimates and corrects k‐space errors made
when reconstructing accelerated MRI data. Methods Scan‐specific artifact reduction in k …

Introduction: Structure-guided drug discovery relies on accurate computational methods for
modeling macromolecules. Simulations provide means of predicting macromolecular folds …

We propose a novel time window-based analysis technique to investigate the convergence
behavior of the stochastic gradient descent method with momentum (SGDM) in nonconvex …

Efficient and high-accuracy filtering of cryo-electron microscopy (cryo-EM) micrographs is an
emerging challenge with the growing speed of data collection and sizes of datasets …

We present ArtiDock-the deep learning technique for predicting ligand poses in the protein
binding pockets (aka" AI docking"), which is based on augmenting inherently limited training …

Im urbanen Raum, insbesondere vor signalisierten Knotenpunkten, entstehen die meisten
Emissionen des Straßenverkehrs. Eine Möglichkeit, um diese Emissionen zu senken, sind …

Low altitude security has gained widespread concern for its applications, eg, cropland
monitoring. In this work, an Internet of Drones architecture was firstly presented for low …