News

Tech Xplore on MSN6d
Detecting electricity demand patterns using a new method for high-dimensional binary data
Forecasting electricity demand in buildings is now more accurate with Group Encoding (GE), a new method that uses only ...
The BMJ1d
Dealing with continuous variables and modelling non-linear associations in healthcare data: practical guide
Proper handling of continuous variables is crucial in healthcare research, for example, within regression modelling for descriptive, explanatory, or predictive purposes. However, inadequate methods ...
AHA/ASA Journals19h
Early Vascular Aging Determined by 3-Dimensional Aortic Geometry: Genetic Determinants and Clinical Consequences
BACKGROUND: Vascular aging is an important phenotype characterized by structural and geometric remodeling. Some individuals ...
Journal of Neurology, Neurosurgery and Psychiatry (JNNP)18h
Autoimmune encephalitis: recovery, residual symptoms and predictors of long-term sequelae
Background Data regarding long-term recovery from autoimmune encephalitis (AE) remain limited. Methods This retrospective ...
El Mundo on MSN20h
Ramón Campayo, probably the smartest man in the world: "I read a 400-page book in an hour and memorized 64 binary numbers in a second"
With an IQ of 194 (the human average is 100), he has shattered all world memory championships. The speed of his brain is a true wonder for which, perhaps, science has no explanation. For a bit of ...
eLife4d
A quantitative pipeline for whole-mount deep imaging and analysis of multi-layered organoids across scales
Whole-mount 3D imaging at the cellular scale is a powerful tool for exploring complex processes during morphogenesis. In organoids, it allows examining tissue architecture, cell types, and morphology ...