Spiking neural network (SNN) is considered to be the brain-like model that best conforms to the biological mechanism of the brain.Due to the non-differentiability of the spike, the training method of SNNs is still incomplete.This paper proposes a supervised learning method for SNNs based on associative learning: ALSA.The method is based on the asso
Amphotericin B (AmB) is a potent antifungal successfully used intravenously to treat visceral leishmaniasis but depending on the Leishmania infecting species, it is not always recommended against cutaneous leishmaniasis (CL).To address the need for alternative topical treatments of CL, the aim of this study was to elaborate and characterize an AmB
In humid environments, the formation of biofilms and microfouling are known to be the detrimental processes that first occur on stainless steel surfaces.This is known as biofouling.Subsequently, the conditions created by metabolites and the activity of organisms trigger corrosion of the metal and accelerate corrosion locally, causing a deterioratio
Increasing resistance to every major class of antibiotics and a dearth of novel classes of antibacterial agents in development pipelines has created a dwindling reservoir of treatment options for serious bacterial infections.The bacterial type IIA topoisomerases, DNA gyrase and topoisomerase IV, are validated antibacterial drug targets with multipl