Results 111 to 120 of about 2,817,119 (330)
ObjectiveWe investigated treatment persistence and adherence for levodopa adjunct medications and their relationship with demographic factors in Japanese patients with Parkinson’s disease (PD).MethodsThis longitudinal retrospective study used a Japanese ...
Masahiro Nagai +5 more
doaj +1 more source
Cytokine, Chemokine, and Neurofilament Light Chain Signatures in LGI1 Autoimmune Encephalitis
ABSTRACT Objectives To investigate the value of cytokine, chemokine, and neurofilament light chain (NfL) concentrations in predicting relapse risk, chronic epilepsy, and functional impairment in LGI1 autoimmune encephalitis (AE). Methods Cytokines/chemokines (IL‐1‐beta, IL‐2, IL‐4, IL‐5, IL‐6, IL‐8/CXCL8, IL‐10, IL‐12p70, IL‐13, IL‐17A, GM‐CSF, TNF ...
Albert Aboseif +17 more
wiley +1 more source
Deep Residual Reinforcement Learning
We revisit residual algorithms in both model-free and model-based reinforcement learning settings. We propose the bidirectional target network technique to stabilize residual algorithms, yielding a residual version of DDPG that significantly outperforms ...
Boehmer, Wendelin +2 more
core
ICU‐EEG Pattern Detection by a Convolutional Neural Network
ABSTRACT Objective Patients in the intensive care unit (ICU) often require continuous EEG (cEEG) monitoring due to the high risk of seizures and rhythmic and periodic patterns (RPPs). However, interpreting cEEG in real time is resource‐intensive and heavily relies on specialized expertise, which is not always available.
Giulio Degano +5 more
wiley +1 more source
The paper describes the technical design used to develop a structure model that improved thermal insulation properties and structural performance.
Nguyen Huu Cuong +5 more
doaj +1 more source
ABSTRACT Background Managing long COVID in people with multiple sclerosis and related disorders (pwMSRD) is complex due to overlapping symptoms. To address evidence gaps, we evaluated long COVID susceptibility in pwMSRD versus controls and its associations with multi‐domain function and disability.
Chen Hu +15 more
wiley +1 more source
Impact of Combined modular assessment on deep learning and personal development of medical students [PDF]
Humaira Fayyaz Khan
openalex +1 more source
Change in Cognition Following Ischaemic Stroke
ABSTRACT Objective Cognitive decline can occur following ischaemic stroke. How cognition changes over time and associations with cognitive change are poorly understood. This study aimed to explore these issues over 2 years following ischaemic stroke.
Wenci Yan +8 more
wiley +1 more source
Sensory-memory interactions via modular structure explain errors in visual working memory
Errors in stimulus estimation reveal how stimulus representation changes during cognitive processes. Repulsive bias and minimum variance observed near cardinal axes are well-known error patterns typically associated with visual orientation perception ...
Jun Yang, Hanqi Zhang, Sukbin Lim
doaj +1 more source
A REVIEW REGARDING DEEP LEARNING TECHNOLOGY IN MOBILE ROBOTS [PDF]
Vlad Ovidiu Mihalca +3 more
openalex +1 more source

