Results 51 to 60 of about 98,341 (247)

DELP Treatment on Vision and Retinal Microcirculation in Patients With Acute Ischemic Stroke: Report of Five Cases and Literature Review

Therapeutic Apheresis and Dialysis, EarlyView.
ABSTRACT Background The delipid extracorporeal lipoprotein filter from plasma (DELP) treatment can effectively reduce blood lipid, increase blood flow, and improve neurological deficits in patients with acute ischemic stroke (AIS). However, its effect on vision and retinal microcirculation in stroke patients has never been reported.
Ning Li, Ronghua Hong, Hua You, Feiping Xu, Qingjun Zhang, Yiwen Lin, Yuting Su, Danmei Lan, Lingjing Jin, Junhui She   +9 more
wiley   +1 more source

Eight challenges in developing theory of intelligence

Frontiers in Computational Neuroscience
A good theory of mathematical beauty is more practical than any current observation, as new predictions about physical reality can be self-consistently verified.
Haiping Huang
doaj   +1 more source

Systematic human learning and generalization from a brief tutorial with explanatory feedback [PDF]

, 2021
Andy Nam, James L. McClelland
openalex   +1 more source

Generous General

, 2020
coverage ...
openaire   +2 more sources

A Comparative Study of Cerebral Oxygenation During Exercise in Hemodialysis and Peritoneal Dialysis Patients

Therapeutic Apheresis and Dialysis, EarlyView.
ABSTRACT Introduction Cognitive impairment and exercise intolerance are common in dialysis patients. Cerebral perfusion and oxygenation play a major role in both cognitive function and exercise execution; HD session per se aggravates cerebral ischemia in this population. This study aimed to compare cerebral oxygenation and perfusion at rest and in mild
Marieta P. Theodorakopoulou, Konstantina Dipla, Danai Faitatzidou, Fotini Iatridi, Areti Georgiou, Artemios Karagiannidis, Erasmia Sampani, Chrysostomos Dimitriadis, Aggelos Koutlas, Andreas Zafeiridis, Pantelis Sarafidis   +10 more
wiley   +1 more source

Explicit Physics-Informed Deep Learning for Computer-Aided Diagnostic Tasks in Medical Imaging

Machine Learning and Knowledge Extraction
DNN-based systems have demonstrated unprecedented performance in terms of accuracy and speed over the past decade. However, recent work has shown that such models may not be sufficiently robust during the inference process.
Shira Nemirovsky-Rotman, Eyal Bercovich
doaj   +1 more source

Dual Diffusion Architecture for Fisheye Image Rectification: Synthetic-to-Real Generalization [PDF]

, 2023
Shangrong Yang, Chunyu Lin, Kang Liao, Yao Zhao   +3 more
openalex   +1 more source

Predicting the Future Burden of Renal Replacement Therapy in Türkiye Using National Registry Data and Comparative Modeling Approaches

Therapeutic Apheresis and Dialysis, EarlyView.
ABSTRACT Background Chronic kidney disease is a growing public health problem worldwide, and the number of patients requiring renal replacement therapy is steadily increasing. Türkiye has experienced a similar rise in both the incidence and prevalence of renal replacement therapy over the past decades; however, national‐level projections of future ...
Arzu Akgül, Neriman Sıla Koç, Berrak Itır Aylı   +2 more
wiley   +1 more source

Corrigendum: Low-Cost Avoidance Behaviors are Resistant to Fear Extinction in Humans

Frontiers in Behavioral Neuroscience, 2021
Bram Vervliet, Bram Vervliet, Ellen Indekeu   +2 more
doaj   +1 more source

Thermodynamic overfitting and generalization: energetics of predictive intelligence

New Journal of Physics
Overfitting is a crucial concern in machine learning, where an unnecessarily complex model closely captures the details of its training data but fails to generalize to new inputs.
Alexander B Boyd, James P Crutchfield, Mile Gu, Felix C Binder   +3 more
doaj   +1 more source