Results 21 to 30 of about 57,449 (221)

Deep Learning Pose Estimation for Phenotyping of Co‐Occurring Hyperkinetic Movement Disorders

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To explore whether routine outpatient video combined with deep learning‐based pose estimation and clinically interpretable kinematic features can support multi‐label phenotyping of co‐occurring hyperkinetic movement disorders (HMDs).
Laura Cif, Diane Demailly, Gabriella A. Horvàth, Juan Dario Ortigoza Escobar, Nathalie Dorison, Mayté Castro Jiménez, Cécile A. Hubsch, Thomas Wirth, Gun‐Marie Hariz, Sophie Huby, Morgan Dornadic, Zohra Souei, Muhammad Mushhood Ur Rehman, Simone Hemm, Mehdi Boulaymen, Eduardo M. Moraud, Jocelyne Bloch, Xavier Vasques   +17 more
wiley   +1 more source

Optimal digitalization and pricing decisions in a dual-channel agri-food supply chain under subsidy mechanisms: a decision analytic framework

Frontiers in Sustainable Food Systems
IntroductionDigital traceability is essential to ensure the transparency of the agricultural supply chain. However, manufacturers face a key strategic dilemma: the high initial investment cost hinders the investment in traceability, and multi-channel ...
Haiyan Zhong, Yin Xiao, Hong Huo
doaj   +1 more source

Arterial Spin‐Labeling MRI at the Cortical‐CSF Interface: A Novel Biomarker in Alzheimer Disease

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background/Objective Arterial spin‐labeling (ASL) MRI can measure perfusion signal adjacent to CSF spaces and may provide information regarding CSF‐adjacent water transport physiology. We developed an automated pipeline to extract cortical‐CSF interface (IF) perfusion for comparison between Alzheimer disease (AD) and cognitively normal ...
Mona Asghariahmadabad, Pouya Metanat, Michael Thomas, Luke W. Bonham, Tyson Lam, Mehmet Kurt, Hong Nguyen, Tara Ellingson, Mauro Zucchelli, Stefano Casagranda, Quin Lu, Andreas M. Rauschecker, Leo Sugrue, Luis E. Savastano, Christopher P. Hess, Kamalini Ranasinghe, S. Andrew Josephson, Bruce L. Miller, Jennifer S. Yokoyama, Gil D. Rabinovici, Peter A. Ljubenkov, Lawren VandeVrede, Kambiz Nael   +22 more
wiley   +1 more source

Interdisciplinary challenges in bio-energy carbon capture utilization & storage deployment: A review

Carbon Capture Science & Technology
Bioenergy with Carbon Capture, Utilization, and Storage (BECCUS) is an innovative technology that has the potential to contribute significantly to global climate change mitigation efforts by simultaneously removing atmospheric carbon dioxide through the ...
Fan David Yeung, Sergio Sammarchi, Eryu Wang, Qi Gao, Jia Li   +4 more
doaj   +1 more source

Safety and Efficacy of GLP‐1 Receptor Agonists in Adults With Epilepsy, Obesity, and Type 2 Diabetes

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Managing obesity in patients with epilepsy is complicated by the weight‐gaining properties of essential antiseizure medications (ASMs) such as valproate and pregabalin. We evaluated the safety and efficacy of initiating glucagon‐like peptide‐1 receptor agonists (GLP‐1 RAs) in this population.
Hyoshin Son, Inyoung Hwang, Sang Won Lee, Yun Kim   +3 more
wiley   +1 more source

Deep Reinforcement Learning and Game Theory for Computation Offloading in Dynamic Edge Computing Markets

IEEE Access, 2021
As a promising paradigm, computation offloading technology can offload computing tasks to multi-access edge computing (MEC) servers, which is an appealing choice for resource-constrained terminal devices to reduce their computational effort. However, due
Shuyang Li, Xiaohui Hu, Yongwen Du
doaj   +1 more source

Building a Framework for Sexual and Reproductive Health Care in the Rheumatology Context: Content and Approaches

Arthritis Care &Research, EarlyView.
People with systemic autoimmune and rheumatic diseases (SARDs) are at higher risk than the general population of experiencing adverse pregnancy and perinatal outcomes such as preeclampsia, intrauterine growth restriction, and maternal and/or fetal death.
Mehret Birru Talabi, Sonya Borrero
wiley   +1 more source

Digital twin‐based online resilience scheduling for microgrids: An approach combining imitative learning and deep reinforcement learning

IET Renewable Power Generation
Strong uncertainty of renewables puts high demands on the fast response of flexibility resources and resilience‐oriented optimal scheduling for microgrids (MGs).
Haonan Sun, Nian Liu, Lu Tan, Peng Du, Bocheng Zhang   +4 more
doaj   +1 more source

Strategic Infrastructure Sequencing for Freight Transport Decarbonization Under Declining Demand Using Data from Latvia

Future Transportation
This study addresses a critical policy paradox in transport infrastructure planning: the necessity for substantial decarbonization investments amid declining freight demand forecasts in less developed territories. Despite reduced demand, such investments
Justina Hudenko, Anna Kuzina, Aleksandrs Kotlars, Inguna Jurgelane-Kaldava, Maris Gailis, Agnese Batenko, Igors Kukjans   +6 more
doaj   +1 more source

A Q‐Learning Algorithm to Solve the Two‐Player Zero‐Sum Game Problem for Nonlinear Systems

International Journal of Adaptive Control and Signal Processing, Volume 39, Issue 3, Page 566-581, March 2025.
A Q‐learning algorithm to solve the two‐player zero‐sum game problem for nonlinear systems. ABSTRACT This paper deals with the two‐player zero‐sum game problem, which is a bounded L2$$ {L}_2 $$‐gain robust control problem. Finding an analytical solution to the complex Hamilton‐Jacobi‐Issacs (HJI) equation is a challenging task.
Afreen Islam, Anthony Siming Chen, Guido Herrmann   +2 more
wiley   +1 more source