The subject of this paper is the technology (the how) constructing machine-learning interatomic potentials, rather than science what and why) atomistic simulations using potentials. Namely, we illustrate how to construct moment tensor potentials active learning as implemented in MLIP package, focusing on efficient ways sample configurations for training set, expanding set changes error predicti...

The methodology proposed in the paper applies artificial intelligence (AI) techniques to the modeling and control of some climate variables within a greenhouse. The nonlinear physical phenomena governing the dynamics of temperature and humidity in such systems are, in fact, difficult to model and control using traditional techniques. The paper proposes a framework for the development of soft co...

BACKGROUND Greenhouse workers are exposed to organic dusts, and they are thereby at risk of developing airway disorders. This study aims to measure personal endotoxin exposure, assess respiratory symptoms and measure fractional exhaled nitric oxide (FeNO) among female flower farm workers in Ethiopia. METHODS A cross-sectional study involving female workers (n = 248) from four flower farms was...

Cities profoundly alter biological communities, favoring some species over others, though the mechanisms that govern these changes are largely unknown. Herbivorous arthropod pests are often more abundant in urban than in rural areas, and urban outbreaks have been attributed to reduced control by predators and parasitoids and to increased susceptibility of stressed urban plants. These hypotheses...