Forecasting COVID-19 new cases using NBEATS deep learning and mobility data. [PDF]
Nazir A +6 more
europepmc +1 more source
Solar Energy Risks: Stochastic Radiation Modeling and Optimal Hedging Strategies
ABSTRACT The growing integration of solar power into electricity markets increasingly demands advanced risk management tools to address the inherent variability of solar radiation and its interaction with electricity prices. This paper introduces a novel framework for modeling and pricing new financial instruments designed to link payoffs directly to ...
Silvia Romagnoli, Beniamino Sartini
wiley +1 more source
A comparison of relative stopping power derived by fast kV-switching dual-energy CT, single-energy CT, and proton CT in phantom and tissue. [PDF]
Wang H +7 more
europepmc +1 more source
Cardiac timing modulates the contribution of compliance to effective arterial elastance
Abstract Effective arterial elastance (Ea) is a lumped descriptor of arterial load. The contributions of arterial characteristics to Ea, and their interactions with cardiac timing parameters, have not been fully elaborated. Previous studies have shown that Ea can be approximated by equations of the form Ea ≈ R/T + k/C, where R is either total or ...
Thomas Murchie
wiley +1 more source
Feasibility of energy expenditure estimation during outdoor walking using multimodal in-ear sensors: a preliminary validation study against indirect calorimetry. [PDF]
Camargo D +3 more
europepmc +1 more source
Abstract Tropical cyclone (TC)‐induced extreme precipitation (TCEP) poses heavy risks, yet its seasonal predictability remains limited by insufficient understanding of cross‐scale climatic drivers. Here, we elucidate a stratosphere‐to‐stratosphere coupling pathway where the quasi‐biennial oscillation (QBO) modulates TC activity and subsequent TCEP over
Xiaomin Wang +3 more
wiley +1 more source
AI Digitized 3D-Printed Meal for Personalized Nutrition. [PDF]
Lee CKW +6 more
europepmc +1 more source
Quantum chemical methods of force field parameterization such as the Seminario method encountercompute limitations at large scales. We present a GNN framework that outperforms the Seminario method by 34% in reproducing infrared bond frequencies across prevalent functional groups, and is up to seven orders of magnitude faster on larger molecules ...
Yao Fu, Martin Stroet, Megan L. O'Mara
wiley +1 more source
Machine Learning-Based Estimation of Mechanical Properties of 3D-Printed PLA Composites Under Annealing Treatment. [PDF]
Fouly A.
europepmc +1 more source

