Machine learning for identification of silylated derivatives from mass spectra
Abstract Motivation: Compound structure identification is using increasingly more sophisticated computational tools, among which machine learning tools are a recent…
Abstract Motivation: Compound structure identification is using increasingly more sophisticated computational tools, among which machine learning tools are a recent…
Abstract This study evaluates the hepatoprotective activity of a Tamarix articulata extract against carbon tetrachloride-mediated hepatotoxicity in Wistar rats. Our…
Abstract Background: Atopic dermatitis (AD) is one of the most common cutaneous inflammatory and pruritic diseases in dogs. Considering its…
Abstract Biocomposite boards (BcBs) composed of hemp shives and corn starch are known as thermal insulating or structural building materials.…
Abstract Polyphenols are widely known for their benefits to human health; however, dietary intake of this class of compounds is…
Abstract Cannabis use disorder is frequent in schizophrenia patients, and it is associated with an earlier age of onset and…
Abstract Background: The presence of contaminants in cannabis presents a potential health hazard to recreational users and susceptible patients with…
Abstract Substances from the Cannabis sativa species, especially cannabidiol (CBD) and Delta-9-tetrahydrocannabinol (Δ9-THC), have attracted medical attention in recent years.…
Abstract The current review evaluates the potential of cannabidiol (CBD) as a promising pharmacotherapy for social anxiety disorder (SAD). Although…
Abstract Cannabis sativa L. is a plant that contains numerous chemically active compounds including cannabinoids such as trans-Δ-9-tetrahydrocannabinol (Δ9-THC) and…