Modeling of Mechanical Properties of Silica Fume-Based Green Concrete Using Machine Learning Techniques.

Silica fume (SF) is a frequently used mineral admixture in producing sustainable concrete in the construction sector. Incorporating SF as a partial substitution of cement in concrete has obvious advantages, including reduced CO emission, cost-effective concrete, enhanced durability, and mechanical properties. Due to ever-increasing environmental concerns, the development of predictive machine learning (ML) models requires time.

Human serum albumin binding to the biologically active labdane diterpene "leoheterin": Spectroscopic and in silico analysis.

Labdane diterpenes are important substances due to their remarkable biological activities such as, antibacterial, antiprotozoal, antifungal and cytostatic and cytotoxic effects against human cancer cells. We have isolated a labdane diterpene named "leoheterin" from the aerial parts of the Otostegia fruticosa Forssk (Briq) obtained from south west Arabian mountains of Saudi Arabia. The isolated compound was characterized by HNMR, CNMR, IR and UV-visible spectroscopies.