Floods are among the most common disasters, causing loss of life and enormous damage to private property and public infrastructure.Monitoring systems that detect and predict floods help respond quickly in the pre-disaster phase to prevent and mitigate flood risk and damages.Thus, this paper presents a deep neural network (DNN)-based real-time flood
The sclerodermas are autoimmune rheumatic diseases associated with pathological fibrosis of tissues.The two forms, localised scleroderma (LS [also referred to as morphoea]) and systemic sclerosis (SSC), have different patterns of organ involvement depending upon age of onset.Juvenile LS (JLS) has a poorer prognosis than adult-onset LS (ALS), while
The article carries out a brief macro-economic analysis of modern economic transformations in Ukraine.An effective instrument for regulating the national economy is fiscal policy, which is based on the efficient governmental tax management.The article is aimed at evaluating the level of fiscal burden on the economic entities in Ukraine and substant
Background: The coronavirus disease 2019 (COVID-19) pandemic has had dire effects on South Africa.Vaccines against severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) are Creatine critical in the fight against COVID-19.This study is necessary to optimise vaccine acceptance.Aim: To determine the knowledge, attitudes and perceptions of a pat