The increasing global interest in outdoor activities highlights the need for detailed 3D outdoor maps. Researchers have developed a novel method for constructing accurate and enriched 3D hiking road maps by combining crowdsourced trajectories and advanced geospatial modeling, addressing gaps in outdoor mapping technology. Tested using 1,170 hiking trajectories in China's Yuelu Mountain Scenic Area, the resulting 3D road network map demonstrated high accuracy in both spatial positioning and elevation estimation. Published in the Journal of Geo-information Science, this innovation provides outdoor enthusiasts with safer route planning and navigation, as well as enhanced support for search and rescue operations in complex terrains.

People who later experienced persistent shortness of breath or fatigue after a SARS-CoV-2 infection were already taking significantly fewer steps per day and had a higher resting heart rate before contracting the virus, according to a study by the Complexity Science Hub (CSH) published in npj Digital Medicine. This may indicate lower fitness levels or pre-existing conditions as potential risk factors.

An international team, led by the Immunogenetics Research Laboratory (IRLab) at the University of the Basque Country (UPV/EHU) and the Biobizkaia Health Research Institute, has identified associations between modifications in the placenta and the risk of developing schizophrenia, bipolar disorder, and major depression disorder. The study, published in Nature Communications, was coordinated by Dr. Nora Fernandez-Jimenez, assistant professor at the UPV/EHU Faculty of Medicine and Nursing and researcher at Biobizkaia, with Dr. Ariadna Cilleros-Portet as the first author.

Researchers have shed new light on how a type of heart valve disease—aortic valve stenosis—progresses differently in males and females. The research paves the way for treatments that can be tailored to a patient's biological sex.

Researchers develop Symbolic Modeling—an AI-powered technique creating unified mathematical models for financial asset pricing. Compared to neural network, the generated mathematical expression by symbolic modeling is easier to comprehend and analyze. Testing across hundreds of company’s datasets shows lower prediction errors and reduced unexplainable return compared to classic asset pricing models like CAPM or Fama-French 3-Factor model.

POSTECH and University of Montpellier researchers demonstrate wafer-scale AA-stacked hexagonal boron nitride (hBN) growth.