The numerical solution of differential equations using machine learning-based approaches has gained significant popularity. Neural network-based discretization has emerged as a powerful tool for solving differential equations by parameterizing a set of functions. Various approaches, such as the deep Ritz method and physics-informed neural networks, have been developed for numerical solutions.
View Article and Find Full Text PDFIntroduction: The intricate habitats of aquatic organisms, coupled with the prevalence of pathogens, contribute to a high incidence of various diseases, particularly bacterial infections. Consequently, the formulation of sustainable and effective disease management strategies is crucial for the thriving aquaculture sector.
Methods And Results: In this investigation, a strain of , designated , was isolated from a freshwater fish pond.
This paper performed a comprehensive study of the thermal nonequilibrium effects of CO/Ar mixtures with various degrees of N2 additions and probed the N2 relaxation behaviors via the CO rovibrational thermometry. The rovibrational temperature time histories of shock-heated CO/N2/Ar mixtures were measured via a laser-absorption technique, and the corresponding vibrational relaxation data were summarized at 1890-3490 K. The measured results were compared with predictions from the Schwartz-Slawsky-Herzfeld (SSH) formula and the state-to-state (StS) approach (treating CO and N2 as pseudo-species).
View Article and Find Full Text PDFAim: The study aimed to develop a predictive model with machine learning (ML) algorithm, to predict and manage the need for red blood cell (RBC) transfusion during hip fracture surgery.
Methods: Data of 2785 cases that underwent hip fracture surgery from April 2016 to May 2022 were collected, covering demographics, medical history and comorbidities, type of surgery and preoperative laboratory results. The primary outcome was the intraoperative RBC transfusion.
Ther Adv Endocrinol Metab
December 2024
Background: There is interest in repurposing bicalutamide for gender-affirming hormone therapy, but little data regarding efficacy and safety in the transgender population.
Objectives: To determine the effect of bicalutamide on serum total testosterone concentrations and liver function. Given bicalutamide is a pure androgen receptor antagonist, we hypothesized that serum total testosterone concentrations would be higher than the cisgender female reference range and those recommended for transgender individuals in consensus guidelines.