Results 111 to 120 of about 1,011,813 (298)
Smart Catheters for Diagnosis, Monitoring, and Therapy
Advanced Healthcare Materials, EarlyView.This study presents a comprehensive review of smart catheters, an emerging class of medical devices that integrate embedded sensors, robotics, and communication systems, offering increased functionality and complexity to enable real‐time health monitoring, diagnostics, and treatment. Abstract This review explores smart catheters as an emerging class of
Azra Yaprak Tarman +12 more
wiley +1 more source
Individuals' Use of Care While Uninsured: Effects of Time Since Episode Inception and Episode Length [PDF]
Few studies have addressed how use of care may vary over the course of an episode of being uninsured or across uninsured episodes of varying duration. This research models the probability that an uninsured individual has (a) any medical expenditures or ...
Carole Roan Gresenz +2 more
core
Learning Highly Dynamic Skills Transition for Quadruped Jumping Through Constrained Space
Advanced Robotics Research, EarlyView.A quadruped robot masters dynamic jumps through constrained spaces with animal‐inspired moves and intelligent vision control. This hierarchical learning approach combines imitation of biological agility with real‐time trajectory planning. Although legged animals are capable of performing explosive motions while traversing confined spaces, replicating ...
Zeren Luo +6 more
wiley +1 more source
Stable Imitation of Multigait and Bipedal Motions for Quadrupedal Robots Over Uneven Terrains
Advanced Robotics Research, EarlyView.How are quadrupedal robots empowered to execute complex navigation tasks, including multigait and bipedal motions? Challenges in stability and real‐world adaptation persist, especially with uneven terrains and disturbances. This article presents an imitation learning framework that enhances adaptability and robustness by incorporating long short‐term ...
Erdong Xiao +3 more
wiley +1 more source
Risk of Hypokalemia to the First Episode Peritonitis Related to Peritoneal Dialysis
Journal of Health Science and Medical Research (JHSMR), 2016 Objective: To determine whether hypokalemia is a risk factor for first episode peritonitis among patients undergoing peritoneal dialysis (PD) Material and Methods: A retrospective cohort study was conducted among PD patients treated at Nakornping ...
Chayutthaphong Chaisai +5 more
doaj
Frontiers in PsychiatryIntroductionCognitive impairment is a core feature of first-episode schizophrenia (FES), yet the influence of biological sex on its manifestation remains under characterized.
Qing Zhang +14 more
doaj +1 more source
Advanced Robotics Research, EarlyView.Automated poultry processing lines still rely on humans to lift slippery, easily bruised carcasses onto a shackle conveyor. Deformability, anatomical variance, and hygiene rules make conventional suction and scripted motions unreliable. We present ChicGrasp, an end‐to‐end hardware‐software co‐designed imitation learning framework, to offer a ...
Amirreza Davar +8 more
wiley +1 more source
Insulin Resistance in Antipsychotic-Naive Patients – A Case–Control Study
Journal of Psychiatry SpectrumBackground: Patients with psychosis experience increased premature mortality compared to the general population. Higher suicide rates, poor nutrition, neglect of physical health, and a higher prevalence of type 2 diabetes mellitus are some of the notable
C. J. Akshatha +5 more
doaj +1 more source
Evaluation of cortisol and ACTH levels in drug-naive adolescents with first-episode psychosis
Psychiatry and Clinical Psychopharmacology, 2021 INTRODUCTION: Current evidence indicates the role of cortisol in psychosis; however, the relationship between psychological symptoms and cortisol is not clear. It has been reported that cortisol has an indirect effect on the pathophysiology of psychosis.
Seref Simsek +4 more
doaj
Multi‐Site Transfer Classification of Major Depressive Disorder: An fMRI Study in 3335 Subjects
Advanced Science, EarlyView.The study proposes graph convolution network with sparse pooling to learn the hierarchical features of brain graph for MDD classification. Experiment is done on multi‐site fMRI samples (3335 subjects, the largest functional dataset of MDD to date) and transfer learning is applied, achieving an average accuracy of 70.14%.
Jianpo Su +14 more
wiley +1 more source