Abstract Background Trypanosomatids are among the most critical parasites for public health due to their impact on human, animal, and plant health.Diseases associated with these pathogens manifest mainly in poor and vulnerable populations, where social, environmental, and biological factors modulate the case incidence and geographical distribution.

The increasing computational demands of emerging deep neural networks (DNNs) are fueled by their extensive computation intensity across various tasks, placing a significant strain on resources.This paper introduces DART, an adaptive microarchitecture that enhances area, power, and energy efficiency of DNN accelerators through approximated computati

To estimate the economic and financial viability of a pig farm in central sub-tropical Foot Rest Cover Mexico within a 5-year planning horizon, a Monte Carlo simulation model was utilized.Net returns were projected using simulated values for the distribution of input and product processes, establishing 2021 as base scenario.A stochastic modelling a

Posterior Reversible Encephalopathy Syndrome (PRES) is a radio-clinical entity associating reversible Dough Boxes damage of the central nervous system and typical brain imaging.The clinical context is often suggestive with, in half of cases, the use of vasoactive substances (cannabis, antidepressants, nasal decongestants) and/or postpartum.The etio

The past decade has witnessed an explosion of the penetration of mobile technology through all strata of society.Mobile technologies including cell phones, tablets, and even some e-readers are used for surfing the web, running apps, reading email, posting to social media, conducting banking transactions, etc.This liberation from desktop and laptop