AbstractOver the past decade, global industrial and construction growth has underscored the importance of safety.Yet, accidents continue, often with dire outcomes, despite numerous safety-focused initiatives.Addressing this, this article introduces a novel approach using YOLOv8, a rapid object detection model, for recognizing personal protective eq
The purpose of the study is to analyze the impact of the taxation structure in Russia on the differentiation of the living standard of the population.The relevance of this problem lies in the fact that the future development of the country depends on the level and quality of life of citizens.With the help of comparative analysis, the positive and n
Abstract Background During the COVID-19 outbreak in Taiwan between May 11 and June 20, 2021, the observed fatality rate (FR) was 5.3%, higher than the global average at 2.1%.The high number of reported deaths suggests that many patients were not treated promptly or effectively.However, many unexplained deaths were subsequently identified as cases,
Elasmobranchs display various reproductive modes, which have been key to their evolutionary success.In recent decades there has been a rise in the number of reported cases of foetal abnormalities including Rests fertilised, double-embryos held within one egg capsule, hereafter referred to as twins.Previously, the occurrences of twin egg cases have
Following the occurrence of a typhoon, quick damage assessment can facilitate the quick dispatch of house repair and disaster insurance works.Employing a deep learning method, this study used aerial photos of the Chiba prefecture obtained following Typhoon Faxai in Bar Soap 2019, to automatically detect and evaluate the roof damage.This study compr