A study conducted at the Institut de Physique du Globe de Paris uses images from NASA's Dawn mission and a Bayesian inversion of the Hapke photometric model to analyze avalanches and ejecta deposits ...

The agricultural sector, particularly in emerging economies like Africa, faces significant challenges in weed management, directly impacting yield, production costs, and crop quality. Accurate and ...

This study provides important findings on the understanding of circannual timing in mammals, for which iodothyronine deiodinases (DIOs) have been suggested to be of critical importance, yet functional ...

Coronary artery obstruction is a rare but devastating complication of transcatheter aortic valve replacement. Current techniques (transcatheter leaflet modification or snorkel stenting) cannot prevent ...

Article subjects are automatically applied from the ACS Subject Taxonomy and describe the scientific concepts and themes of the article. Here, we demonstrate the effect of cell morphology on the ...

The ground vibration caused by rock blasting is an extremely hazardous outcome of the blasting operation. Blasting activity has detrimental effects on both the ecology and the human population living ...

Article subjects are automatically applied from the ACS Subject Taxonomy and describe the scientific concepts and themes of the article. The swift progressions in pharmaceutical and medicinal ...

The paper deals with experimental attempts for determination of the mechanical resistance of various components subjected to static loading by analysis of displacement values in a 3D coordinate system ...

Biological networks are often inferred through Gaussian graphical models (GGMs) using gene or protein expression data only. GGMs identify conditional dependence by estimating a precision matrix ...

Freezing of gait (FoG) is typically a symptom of advanced Parkinson's disease (PD) that negatively influences the quality of life and is often resistant to pharmacological interventions. Novel ...

A key challenge in analyzing high-dimensional data is to extract meaningful low-dimensional structures, which typically represent signals of interest. Standard and widely used methods include ...