Results 81 to 90 of about 117,515 (298)
Memory and Resting‐State Connectivity in Acute Transient Global Amnesia: A Case–Control fMRI Study
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Background and Objectives Transient global amnesia (TGA) is a striking model of isolated amnesia. While hippocampal lesions are well described, the network‐level mechanisms and the precise neuropsychological profile remain debated. Our objective was thus to characterize functional and neuropsychological correlates of acute TGA and their ...
Elias El Otmani +10 more
wiley +1 more source
Boredom and Avoidance Learning
, 2021 Boredom is an inherently aversive experience suggested to motivate avoidant behavior. Some people are more susceptible to boredom than others (boredom proneness; BP).
A.S. Revill
core +1 more source
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective We aim to comprehensively analyze how regional tumor and edema characteristics are associated with clinical presentations and survival outcomes in a large cohort of glioblastoma patients. Methods Patients with IDH‐wildtype glioblastoma who received brain MRI from 2010 to 2023 were included.
Daniel J. Zhou +16 more
wiley +1 more source
Screening Routine Clinical Notes for Epilepsy Surgery Candidates Using Large Language Models
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Epilepsy surgery is severely underutilized despite proven efficacy, with substantial under‐referral of eligible patients in routine clinical practice. This study evaluated the potential role of large language models (LLMs) as decision‐support tools for screening unstructured clinical notes to identify epilepsy surgery candidates and ...
Uriel Fennig +9 more
wiley +1 more source
A 17 Year Old With Developmental Delay Presenting With Increasing Confusion and Imbalance
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Methylmalonic acidemia is an autosomal recessive genetic disorder primarily caused by defects in methylmalonyl‐CoA mutase and cobalamin (vitamin B12) metabolism. These defects disrupt the tricarboxylic acid cycle and oxidative phosphorylation, leading to the abnormal accumulation of metabolic products such as methylmalonic acid, propionic acid,
Wei Zhao, Yingli Zhang, Hongliang Zheng
wiley +1 more source
Self-Supervised Learning for Visual Obstacle Avoidance
, 2020 With a growing number of drones, the risk of collision with other air traffic or fixed obstacles increases. New safety measures are required to keep the operation of Unmanned Aerial Vehicles (UAVs) safe.
van Dijk, Tom (author)
core
Arthritis Care &Research, EarlyView.Objective A patient‐centered approach for chronic disease management, including systemic lupus erythematosus (SLE), aligns treatment with patients’ values and preferences, leading to improved outcomes. This paper summarizes how patient experiences, perspectives, and priorities informed the American College of Rheumatology (ACR) 2024 Lupus Nephritis (LN)
Shivani Garg +20 more
wiley +1 more source
Effects of Exercise on Memory Retrieval in Passive Avoidance Learning in Young Male Wistar Rats
Majallah-i Dānishgāh-i ̒Ulūm-i Pizishkī-i Qum, 2009 Background and Objectives Exercise seems to be a simple and widely practiced behavior that activates molecular and cellular signaling cascades involved in various central nervous system processes. There has been more attention to the effects of exercise
H Saadati +3 more
doaj
EMBEDDED LEARNING ROBOT WITH FUZZY Q-LEARNING FOR OBSTACLE AVOIDANCE BEHAVIOR
, 2009 Fuzzy Q-learning is extending of Q-learning algorithm that uses fuzzy inference system to enable Q-learning holding continuous action and state. This learning has been implemented in various robot learning application like obstacle avoidance and target ...
Anam, Khairul
core
Learning Barrier-Certified Polynomial Dynamical Systems for Obstacle Avoidance with Robots
Established techniques that enable robots to learn from demonstrations are based on learning a stable dynamical system (DS). To increase the robots\u27 resilience to perturbations during tasks that involve static obstacle avoidance, we propose ...
Kussaba, Hugo T. M. +6 more
core +1 more source