Soil temperature plays an important role in agriculture, industry and other fields.Accurate soil temperature prediction can help improve productivity and avoid risks in many fields.At present, many machine learning methods have been applied to soil temperature prediction such as support vector regression (SVR), artificial neural network (ANN), long
A study was conducted to investigate the effects Dog Supplies of tannic acid (TA) supplementation on growth performance, gut health, antioxidant capacity, gut microbiota, and meat yield and quality in broilers raised for 42 days.A total of 700 one-day-old male broiler chickens (Cobb500) were allocated into 5 treatments with 7 replicates of 20 birds
Introduction: acute appendicitis constitutes the most frequent emergency in General Surgery Service.When patients are early operated on better prognosis is obtained.Objective: to characterize clinically and epidemiologically the appendectomized patients at Abel Santamaria Cuadrado general teaching hospital.Method: a descriptive, longitudinal and re
In this paper, the seismic response of a steel truss arch bridge subjected to near-fault ground motions is studied.Then, the idea of applying buckling restrained braces (BRBs) to a steel truss arch bridge in near-fault areas is proposed and validated.Firstly, the basic characteristics of near-fault ground motions are identified and distinguished.Fu
The ability to effectively store and transmit high-resolution images such as MRI and CT scans without losing quality is critical to modernizing medical imaging.Traditional compression methods risk losing essential medical image data, which requires perfect detail for diagnosis.Quantum algorithms use superposition and entanglement to compress faster