A hybrid framework for compartmental models enabling simulation-based inference. [PDF]
Germano DPJ +5 more
europepmc +1 more source
Modeling Markov switching ARMA-GARCH neural networks models and an application to forecasting stock returns. [PDF]
Bildirici M, Ersin Ö.
europepmc +1 more source
Translating cardiovascular ion channel and Ca2+ signalling mechanisms into therapeutic insights
Abstract figure legend This white paper integrates mechanistic discoveries across ion channel biology, Ca2+ signalling and multiscale cardiovascular physiology to highlight new opportunities for accelerating research and guiding next‐generation therapies. Printed with permission from ®Anita Impagliazzo Medical Illustration. [Correction added on 2 March
Silvia Marchianò +18 more
wiley +1 more source
Schematic diagram of the whale optimization algorithm (WOA)–optimized fuzzy proportional–integral–derivative (PID) controller. The WOA is employed to dynamically tune the scaling factor expressions and fuzzy control parameters (a(e)a(e), a(ec)a(ec), βpβp, βiβi), as well as the initial PID gains (kp0kp0, ki0ki0), based on the error (ee) and its ...
Xiaosong Tian +7 more
wiley +1 more source
Nasal and oral breathing modes reconfigure brain network dynamics between stabilizing integration and promoting fragmentation. [PDF]
Mohammadi S +2 more
europepmc +1 more source
Invariant Measure and Universality of the 2D Yang–Mills Langevin Dynamic
ABSTRACT We prove that the Yang–Mills (YM) measure for the trivial principal bundle over the two‐dimensional torus, with any connected, compact structure group, is invariant for the associated renormalised Langevin dynamic. Our argument relies on a combination of regularity structures, lattice gauge‐fixing and Bourgain's method for invariant measures ...
Ilya Chevyrev, Hao Shen
wiley +1 more source
Cost-effectiveness of semaglutide versus dulaglutide for Type 2 Diabetes in China: A Markov Model analysis. [PDF]
Chen Q, Chen T, Lin W, Chen X.
europepmc +1 more source
Optimal Control of Mobile Energy Storage via Knowledge‐Guided Deep Reinforcement Learning
This research proposes a Knowledge‐Guided DRL framework (KA‐DDPG) for mobile energy storage. By integrating offline optimization as expert guidance to manage hybrid action spaces and environmental uncertainties, our method achieves significantly higher arbitrage profits and superior operational stability compared to standard reinforcement learning and ...
Xinlei Cai +7 more
wiley +1 more source
The emergence of hyperendemic dengue in Bangladesh: An ecological study of structural breaks and transmission regime shifts, 2008-2025. [PDF]
Hasan P +4 more
europepmc +1 more source
ABSTRACT We study the accuracy of a variety of parametric price duration‐based realized variance estimators constructed via various financial duration models and compare their forecasting performance with the performance of various nonparametric return‐based realized variance estimators.
Björn Schulte‐Tillmann +2 more
wiley +1 more source

