Abstract Machine learning (ML) and deep learning (DL) possess excellent advantages in
data analysis (eg, feature extraction, clustering, classification, regression, image recognition …

Detecting hazardous substances in the environment is crucial for protecting human
wellbeing and ecosystems. As technology continues to advance, artificial intelligence (AI) …

The global decline in bee populations poses significant risks to agriculture, biodiversity, and
environmental stability. To bridge the gap in existing data, we introduce ApisTox, a …

Nitrification inhibitors are recognized as a key approach that decreases the denitrification
process to inhibit the loss of nitrogen to the atmosphere in the form of N2O. Targeting …

Necrosis-inducing secreted protein 1 (NIS1) is a core effector of Ascomycota and
Basidiomycota fungi. They inhibit the immune responses of host plants mainly through …

In the realm of crop protection products, ensuring the safety of pollinators stands as a pivotal
aspect of advancing sustainable solutions. Extensive research has been dedicated to this …

Context Several descriptors from conceptual density functional theory (cDFT) and the
quantum theory of atoms in molecules (QTAIM) were utilized in Random Forest (RF) …

Pesticides benefit agriculture by increasing crop yield, quality, and security. However,
pesticides may inadvertently harm bees, which are valuable as pollinators. Thus, candidate …

Finding new marketable mosquito repellents is a complex and time-consuming process that
can be optimized via modelling. In this context, a SAR (Structure–Activity Relationship) …

Among the actinomycetes in the rare genera, Micromonospora is of great interest since it
has been shown to produce novel therapeutic compounds. Particular emphasis is now on its …