We investigate the use of machine learning for solving analytic problems in theoretical physics.In particular, symbolic regression (SR) is making rapid progress in recent years as a tool to fit data using functions whose overall form is not known in advance.Assuming that we have a mathematical problem that is posed analytically, e.g.through equatio
In recent years, the larval stage of Hermetia illucens, commonly known as the black soldier fly (BSFL), has been used to promote the circularity of the agri-food sector vacuum pro vst by bioconverting organic waste into larval biomass which has been used as a livestock feed.A secondary byproduct of this process is frass that can be used as an organ
BackgroundChildhood remains a vulnerable period and a key determiner for adult health.Various illnesses experienced by children in their early years determine future performance and contribution to society.Acute and chronic infectious diseases, undernutrition, and early childhood non-communicable diseases have greatly been linked to intellectual di
Abstract Background On mammography many cancers may be missed even in retrospect either due to the breast density, the small size of the tumor or the subtle signs of cancer that are imperceptible.We aimed to compare the sensitivity of artificial intelligence (AI) to that of digital mammography in the detection craggy range sauvignon blanc 2022 of d