Results 121 to 130 of about 169,795 (221)
QT-TDM: Planning With Transformer Dynamics Model and Autoregressive Q-Learning [PDF]
arXivInspired by the success of the Transformer architecture in natural language processing and computer vision, we investigate the use of Transformers in Reinforcement Learning (RL), specifically in modeling the environment's dynamics using Transformer Dynamics Models (TDMs). We evaluate the capabilities of TDMs for continuous control in real-time planning
arxiv
Acta Physiologica, Volume 241, Issue 5, May 2025.Abstract Improper gastric emptying is implicated in several gastrointestinal disorders and may result from disrupted electromechanical coupling of the gastroduodenal junction (GDJ). Rhythmic “slow waves” and myogenic “spikes” are bioelectrical mechanisms that, alongside neural and hormonal co‐factors, control GDJ motility.
Sam Simmonds +6 more
wiley +1 more source
Avatrombopag for the Treatment of Immune Thrombocytopenia
European Journal of Haematology, Volume 114, Issue 5, Page 733-746, May 2025.ABSTRACT Avatrombopag, a second‐generation thrombopoietin receptor agonist (TPO‐RA), represents a significant advancement in the treatment of chronic immune thrombocytopenic purpura (cITP) and a potential therapeutic option for other thrombocytopenic disorders.
Caterina Labanca +11 more
wiley +1 more source
KVLQT1 mutations in three families with familial or sporadic long QT syndrome [PDF]
, 1996 Mark W. Russell
openalex +1 more source
Acquired Genotype‐Positive Long QT Syndrome After Pediatric Heart Transplantation
Pediatric Transplantation, Volume 29, Issue 3, May 2025.ABSTRACT Background Congenital long QT syndrome (LQTS) is rare but significant, as it carries a risk for ventricular arrhythmias and sudden cardiac death. Its diagnosis can be made clinically by serial ECGs, ambulatory ECG monitoring, and exercise stress testing; however, genetic testing is confirmatory in the majority of cases.
Nicholas V. Barresi +3 more
wiley +1 more source
Comparative Analysis of Pre-trained Deep Learning Models and DINOv2 for Cushing's Syndrome Diagnosis in Facial Analysis [PDF]
arXivCushing's syndrome is a condition caused by excessive glucocorticoid secretion from the adrenal cortex, often manifesting with moon facies and plethora, making facial data crucial for diagnosis. Previous studies have used pre-trained convolutional neural networks (CNNs) for diagnosing Cushing's syndrome using frontal facial images.
arxiv
Novel missense mutation (G601S) of HERG in a Japanese long QT syndrome family [PDF]
, 1998 Kaoru Akimoto +7 more
openalex +1 more source
FEBS Letters, Volume 599, Issue 7, Page 971-988, April 2025.We present the first solution structure of the Ca2+‐depleted LETM1 F‐EF‐hand through a D676A/N678A Ca2+ binding‐deficient mutant, revealing a closed hydrophobic cleft caused by a unique F1‐helix pivot. The apo LETM1 F‐EF‐hand exhibits regiospecific hot and cold unfolding, sensitivity to physiological pH changes and potential for promiscuous heterotypic
Qi‐Tong Lin +2 more
wiley +1 more source