This study aims to classify high-growth firms using several machine learning algorithms, including K-Nearest Neighbors, Logistic Regression with L1 (Lasso) and L2 (Ridge) Regularization, XGBoost, Gradient Descent, Naive Bayes and Random Forest.Leveraging a dataset composed of financial metrics and firm characteristics between 2009 and 2022 with 1,3

Anti-Spike monoclonal antibodies have been considered a promising approach to COVID-19 therapy.Unfortunately, the advent of resistant lineages jeopardized their effectiveness and prompted limitations in their clinical use.Change in the dominant variant can be fast to such an extent that, in the absence of timely medical education, prescribers can k

Non-destructive and accurate estimation of crop biomass is crucial for the quantitative diagnosis of growth status and timely prediction of grain yield.As an active remote sensing technique, terrestrial laser scanning (TLS) has become increasingly available in crop monitoring for its advantages in recording structural properties.Some researchers ha

Our study provides information on the breeding and biometrics of Rusty-Margined Flycatcher Myiozetetes cayanensis in southwest Brazilian Amazonia.Myiozetetes cayanensis is distributed from Central America until north of South Bakuchiol serum America.We made observations on reproduction and captures of this species in a terra firme forest fragment i