Absolute Dimensionality of Quantum Ensembles.

The dimension of a quantum state is traditionally seen as the number of superposed distinguishable states in a given basis. We propose an absolute, i.e.

Left ventricular energetics in patients receiving veno-arterial extracorporeal membrane oxygenation for extracorporeal cardiopulmonary resuscitation.

Introduction: The haemodynamic effects veno-arterial extracorporeal membrane oxygenation (VA-ECMO) remain inadequately understood. We investigated invasive left ventricular (LV) haemodynamics in patients who underwent treatment with an intensive care strategy involving extracorporeal cardiopulmonary resuscitation (ECPR).

Methods: We conducted invasive haemodynamic assessments on 15 patients who underwent ECPR and achieved return of spontaneous circulation.

Molecular Modeling of Vasodilatory Activity: Unveiling Novel Candidates Through Density Functional Theory, QSAR, and Molecular Dynamics.

Cardiovascular diseases (CVD) pose a significant global health challenge, requiring innovative therapeutic strategies. Vasodilators, which are central to vasodilation and blood pressure reduction, play a crucial role in cardiovascular treatment. This study integrates quantitative structure- (QSAR) modeling and molecular dynamics (MD) simulations to predict the biological activity and interactions of vasodilatory compounds with the aim to repurpose drugs already known and estimateing their potential use as vasodilators.

Racial disparities in treatment and outcomes between Hispanic and non-Hispanic black women with triple-negative breast cancer.

Introduction: Triple-negative breast cancer (TNBC) is an aggressive breast cancer (BC) subtype with higher incidence and mortality rates in non-Hispanic Black (NHB) women than non-Hispanic Whites. Studies assessing disparities between NHB and Hispanic women, the two largest US racial/ethnic minorities, are lacking. This study evaluates disparities in the treatment and outcomes between NHB and Hispanic women with non-metastatic TNBC.

BASEPROD: The Bardenas Semi-Desert Planetary Rover Dataset.

Dataset acquisitions devised specifically for robotic planetary exploration are key for the advancement, evaluation, and validation of novel perception, localization, and navigation methods in representative environments. Originating in the Bardenas semi-desert in July 2023, the data presented in this Data Descriptor is primarily aimed at Martian exploration and contains relevant rover sensor data from approximately 1.7km of traverses, a high-resolution 3D map of the test area, laser-induced breakdown spectroscopy recordings of rock samples along the rover path, as well as local weather data.