The development of the agricultural economy is hindered by various pest-related problems.Most pest detection studies only focus on a single pest category, Sponges which is not suitable for practical application scenarios.This paper presents a deep learning algorithm based on YOLOv5, which aims to assist agricultural workers in efficiently diagnosin
Abstract Legalization of cannabis for medicinal and/or recreational use is expanding globally.Although cannabis is being regulated country by country, an accurate recent use test with indisputable results correlated with impairment has yet to be discovered.In the present study, a new approach for determining recent cannabis Bin use within the impai
Abstract Molecular dynamics (MD) simulations are performed to derive an equation of state (EOS) for helium (He) bubbles in tungsten (W) and to study the growth of He bubbles under a W(100) surface until they burst.We study the growth as a function of the initial nucleation depth of the bubbles.During growth, successive loop-punching events are obse
Abstract High dimensionality and noise have limited the new biological insights that can be discovered in scRNA-seq data.While dimensionality reduction tools have been developed to extract biological signals from the data, they often require manual determination of signal dimension, introducing user bias.Furthermore, a common data preprocessing met
Existing approaches for evaluation of types of interactions between individual monocultures in consortiums allow obtaining only Sponges qualitative results (synergistic, antagonistic, additive interaction) as a whole, without regarding to changes in the cultivation process.Therefore, the development of a new approach for the quantitative determinat