Results 231 to 240 of about 48,097 (299)

Forecasting COVID-19 new cases using NBEATS deep learning and mobility data. [PDF]

open access: yesPLoS One
Nazir A   +6 more
europepmc   +1 more source

Solar Energy Risks: Stochastic Radiation Modeling and Optimal Hedging Strategies

open access: yesMathematical Finance, Volume 36, Issue 4, Page 663-699, October 2026.
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

Cardiac timing modulates the contribution of compliance to effective arterial elastance

open access: yesPhysiological Reports, Volume 14, Issue 19, October 2026.
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

Stratospheric Quasi‐Biennial Oscillation Modulates Tropical Cyclone Extreme Rainfall Over East Asia via Intraseasonal Oscillation

open access: yesGeophysical Research Letters, Volume 53, Issue 17, 16 September 2026.
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]

open access: yesJ Food Sci
Lee CKW   +6 more
europepmc   +1 more source

A Graph‐Based Machine Learning Framework to Assign Empirical Interaction Parameters for Novel Molecules

open access: yesJournal of Computational Chemistry, Volume 47, Issue 24, September 15, 2026.
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

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