We use a neural-network ansatz originally designed for the variational optimization of quantum systems to study dynamical large deviations in classical ones. We use recurrent neural networks to describe the large deviations of the dynamical activity of model glasses, kinetically constrained models in two dimensions. We present the first finite size-scaling analysis of the large-deviation functions of the two-dimensional Fredrickson-Andersen model, and explore the spatial structure of the high-activity sector of the South-or-East model. These results provide a new route to the study of dynamical large-deviation functions, and highlight the broad applicability of the neural-network state ansatz across domains in physics.
Introduction: The present study aimed to investigate the prescribing patterns of anticholinergics (anti-AChR) or β3-adrenergic agonists (βA) in the pharmacotherapy of overactive bladder (OAB) and to evaluate the differences in the frequency of adverse events (AEs) between the two types of drugs using a large-scale medical claims database.
Methods: This cohort study was conducted using the JMDC claims database between May 2015 and April 2023. Patient characteristics, prescription and treatment patterns of anti-AChR and βA, and the incidence of AEs have been described.
Mate selection plays an important role in breeding programs. The Usefulness Criterion was proposed to improve mate selection, combining information on both the mean and standard deviation of the potential offspring of a cross, particularly in clonally propagated species where large family sizes are possible. Predicting the mean value of a cross is generally easier than predicting the standard deviation, especially in outbred species when the linkage of alleles is unknown and phasing is required.
Background/purpose: Radiation-induced cardiac toxicity in lung cancer patients has received increased attention since RTOG 0617. However, large cohort studies with accurate cardiac substructure (CS) contours are lacking, limiting our understanding of the potential influence of individual CSs. Here, we analyse the correlation between CS dose and overall survival (OS) while accounting for deep learning (DL) contouring uncertainty, uncertainty and different modelling approaches.
The Bardhoka sheep breed, also known as Dukagjini white sheep (Ovis aries), is considered to be a medium-sized sheep that is a typical grazing ruminant. The aim of this study was to investigate and measure the parameters of the gastrointestinal tract (GIT) of Bardhoka sheep to determine the morphometry, volume, ratio and surface areas of its different parts. The GIT of eight adult healthy Bardhoka sheep with an average body mass (BM) of 57.
Calorie-restricted diets cause weight loss and can drive type 2 diabetes remission. However, many patients struggle to achieve clinically relevant weight loss, and the reasons are not well understood. Chemical exposure is associated with obesity and type 2 diabetes development, and some evidence from preclinical experiments suggests it can limit the clinical benefits of calorie restriction.
