Results 121 to 130 of about 29,275 (288)

Structure‐Aware Machine Learning for Polymers: A Hierarchical Graph Network for Predicting Properties From Statistical Ensembles

Macromolecular Rapid Communications, EarlyView.
This work presents a structure‐aware graph convolutional network that models polymers as statistical ensembles to predict macroscopic properties. By combining topologically realistic graphs generated via kinetic Monte Carlo simulations with explicit molar mass distributions, the framework achieves high accuracy in classifying architectures and ...
Julian Kimmig, Yannik Köster, Timo Koswig, Punith Raviswamy, Subhash V. S. Ganti, Stefan Zechel, Christopher Kuenneth, Ulrich S. Schubert   +7 more
wiley   +1 more source

MDSGene Systematic Review of Common Forms of Dominant Hereditary Spastic Paraplegia: Novel Insights

Movement Disorders Clinical Practice, EarlyView.
Abstract Background Hereditary spastic paraplegia (HSP) is a neurodegenerative disorder characterized by progressive spasticity and lower limb weakness. The most common forms of autosomal dominant HSP are caused by pathogenic variants in SPAST (SPG4 or HSP‐SPAST), ATL1 (SPG3A or HSP‐ATL1), and REEP1 (SPG31 or HSP‐REEP1).
Ce Kang, Rajasumi Rajalingam, Zachary Walls, Jana Huang, Christine Sun, Laura I. Rudaks, Dennis Yeow, Ashar Rasheed, Jenny W. Zhang, Moath Hamed, Marianthi Breza, Susen Schaake, Chetan Vekhande, Jason Massa, Robyn E. Massa, Aakash Shetty, Carolyn M. Sue, Franca Cambi, Oksana Suchowersky, Franca Vulinovic, Sonja Petkovic, Christine Klein, Katja Lohmann, Connie Marras, Kishore R. Kumar   +24 more
wiley   +1 more source

Diabetic Peripheral Neuropathy: Molecular Staging, Risk Factors, Therapeutics, and Emerging Trends

Med Research, EarlyView.
The heterogeneous landscape of DPN can be unified through a tripartite pathogenic model encompassing progressive stages of metabolic dysregulation, chronic inflammation, and overt neuronal damage. Within this framework, six clinical subtypes were identified, namely, hyperglycemia‐driven, dyslipidemia‐driven, inflammation‐driven, dysvascularity‐driven ...
Xiaofeng Dai, Mingze Tang
wiley   +1 more source

Offline Reconstruction of Diffusion MRI Acquisitions for Comparison Between Complex PCA‐Based and AI‐Based Denoising

Magnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose Optimal diffusion MRI (dMRI) data for image denoising is often unavailable from scanner reconstruction. In this work, we make available an offline reconstruction pipeline for GE dMRI acquisitions, giving access to complex dMRI data. Furthermore, we compare the efficacy of GE HealthCare's AIR‐Recon DL (ARDL), a proprietary convolutional
Francesco D'Antonio, Shaun Warrington, Jose‐Pedro Manzano‐Patron, Paul S. Morgan, Stamatios N. Sotiropoulos   +4 more
wiley   +1 more source

Using U‐Nets to Predict the Effects of Head Motion on Simulated Specific Absorption Rate for Ultra‐High Field Magnetic Resonance Imaging With Parallel Transmission

Magnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose Ultrahigh‐field MRI requires careful management of the specific absorption rate (SAR), which is subject and subject‐position dependent. Within‐scan subject motion may exacerbate local SAR exposure, necessitating large safety margins to prevent SAR underestimation, which hampers imaging performance.
Katherine Anna Blanter, Alix Plumley, Alper Gungor, Shaihan Malik, Emre Kopanoglu   +4 more
wiley   +1 more source

Attention, Please! Adversarial Defense via Attention Rectification and Preservation

, 2019
This study provides a new understanding of the adversarial attack problem by examining the correlation between adversarial attack and visual attention change.
Jing, Liping, Sang, Jitao, Sun, Yanfeng, Wu, Shangxi, Xu, Kaiyuan, Yu, Jian, Zhang, Jiaming   +6 more
core  

Multi‐Agent Reinforcement Learning for Joint Police Patrol and Dispatch

Naval Research Logistics (NRL), EarlyView.
ABSTRACT Police patrol units need to split their time between performing preventive patrol and being dispatched to serve emergency incidents. In the existing literature, patrol and dispatch decisions are often studied separately. We consider joint optimization of these two decisions to improve police operations efficiency and reduce response time to ...
Matthew Repasky, He Wang, Yao Xie
wiley   +1 more source

Predicting Drop‐Weight Impact Sensitivity From Molecular Graphs Using Physics‐Informed Artificial Intelligence

Propellants, Explosives, Pyrotechnics, EarlyView.
This work presents an approach for predicting the drop‐weight impact sensitivity of pure molecular explosives directly from 2D molecular graphs using physics‐informed artificial intelligence (AI) models. A dataset comprising experimentally measured sensitivities for 625 unique high‐explosive molecules is augmented with physics‐informed synthetic ...
Grant Hutchings, Jack V. Davis, Virginia W. Manner, Marc J. Cawkwell, Frank W. Marrs   +4 more
wiley   +1 more source

Machine‐learning approaches for characterizing the raindrop size distributions in Western Pacific tropical cyclones

Quarterly Journal of the Royal Meteorological Society, EarlyView.
Long‐term disdrometer observations are utilized to derive Z–R relationships for ‐the Western Pacific tropical cyclones. A hybrid moment‐based approach is employed to determine the interrelationships among pairs of gamma distribution parameters. Enhanced estimates of rainfall rate and slope parameter are obtained using machine‐learning techniques ...
Jayalakshmi Janapati, Balaji Kumar Seela, Spandana Vadloori, Pay‐Liam Lin, Chuan‐Chi Tu, Everette Joseph   +5 more
wiley   +1 more source

Propylene-Propane Rectification Column's Examination

MultiScience - XXXIII. microCAD International Multidisciplinary Scientific Conference, 2019
Viktória Kállai, Gábor L. Szepesi, Péter Mizsey   +2 more
openaire   +1 more source