… Laser-assisted indocyanine green angiography uses the dye indocyanine green that binds
to intravascular proteins and emits fluorescence when excited by an 805-nm laser imaging …

Background Expander–implant breast reconstruction is often supplemented with acellular
dermal matrix (ADM). The use of acellular dermal matrix has allowed for faster, less painful …

Background: Prosthetic breast reconstruction is most commonly performed using the two-stage
(expander-implant) technique. However, with the advent of skin-sparing mastectomy and …

A large amount of materials science knowledge is generated and stored as text published in
peer-reviewed scientific literature. While recent developments in natural language …

Abstract Machine learning (ML)-based prediction of non-linear composition-strength
relationship in concretes requires a large, complete, and consistent dataset. However, the …

Background The Azadirachta indica (neem) tree is a source of a wide number of natural
products, including the potent biopesticide azadirachtin. In spite of its widespread applications in …

Borosilicate glasses are traditionally challenging to model using atomic scale simulations
due to the composition and thermal history dependence of the coordination state of B atoms. …

The application of machine learning to predict materials’ properties usually requires a large
number of consistent data for training. However, experimental datasets of high quality are …

Although molecular dynamics (MD) simulations are commonly used to predict the structure
and properties of glasses, they are intrinsically limited to short time scales, necessitating the …

Predicting the dissolution rates of silicate glasses in aqueous conditions is a complex task
as the underlying mechanism(s) remain poorly understood and the dissolution kinetics can …