Results 21 to 30 of about 182 (102)

Modelling non‐linear psychological processes: Reviewing and evaluating non‐parametric approaches and their applicability to intensive longitudinal data

British Journal of Mathematical and Statistical Psychology, Volume 79, Issue 2, Page 263-293, May 2026.
Abstract Psychological concepts are increasingly understood as complex dynamic systems that change over time. To study these complex systems, researchers are increasingly gathering intensive longitudinal data (ILD), revealing non‐linear phenomena such as asymptotic growth, mean‐level switching, and regulatory oscillations.
Jan I. Failenschmid, Leonie V. D. E. Vogelsmeier, Joris Mulder, Joran Jongerling   +3 more
wiley   +1 more source

Efficient Kilometer‐Scale Precipitation Downscaling With Conditional Wavelet Diffusion

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 2, April 2026.
Abstract Precipitation products such as Integrated Multi‐satellitE Retrievals have coarse resolution (∼10 ${\sim} 10$ km), which limits their application in hydrological modeling and extreme weather analysis. We propose the Wavelet Diffusion Model (WDM), a fast generative framework for high‐quality precipitation downscaling trained on multi‐radar multi‐
Chugang Yi, Minghan Yu, Weikang Qian, Yixin Wen, Haizhao Yang   +4 more
wiley   +1 more source

Central Limit Theorem for Temporal Average of Backward Euler-Maruyama Method

Journal of Computational Mathematics
This work focuses on the temporal average of the backward Euler-Maruyama (BEM) method, which is used to approximate the ergodic limit of stochastic ordinary differential equations (SODEs). We give the central limit theorem (CLT) of the temporal average of the BEM method, which characterizes its asymptotics in distribution.
openaire   +3 more sources

The return of metabolism: biochemistry and physiology of glycolysis

Biological Reviews, Volume 101, Issue 2, Page 751-803, April 2026.
ABSTRACT Glycolysis is a fundamental metabolic pathway central to the bioenergetics and physiology of virtually all living organisms. In this comprehensive review, we explore the intricate biochemical principles and evolutionary origins of glycolytic pathways, from the classical Embden–Meyerhof–Parnas (EMP) pathway in humans to various prokaryotic and ...
Nana‐Maria Grüning, Federica Agostini, Camila Caldana, Johannes Hartl, Matthias Heinemann, Markus A. Keller, Jan Lukas Krüsemann, Costanza Lamperti, Carole L. Linster, Steffen N. Lindner, Julia Muenzner, Jens Nielsen, Zoran Nikoloski, Bettina Siebers, Jacky L. Snoep, Hezi Tenenboim, Bas Teusink, Spencer J. Williams, Mirjam M. C. Wamelink, Markus Ralser   +19 more
wiley   +1 more source

When Error Propagation Fails: A Mini‐Tutorial on Geometric Brownian Motion Simulation

Advanced Theory and Simulations, Volume 9, Issue 3, March 2026.
Linear error propagation fails in multiplicative stochastic processes governed by geometric Brownian motion, severely underestimating variance and tail risk. This mini‐tutorial derives the exact log‐normal solution, implements Euler–Maruyama simulation, and introduces a quantitative diagnostic for when simulation is essential.
Ioan Bâldea
wiley   +1 more source

Machine Learning Emulation of Precipitation From km‐Scale UK Regional Climate Simulations Using a Diffusion Model

Journal of Advances in Modeling Earth Systems, Volume 18, Issue 3, March 2026.
Abstract High‐resolution climate simulations are valuable for understanding climate change impacts. This has motivated use of regional convection‐permitting climate models (CPMs), but these are very computationally expensive. We present a convection‐permitting model generative emulator (CPMGEM), to skilfully emulate precipitation simulations by a 2.2 ...
Henry Addison, Elizabeth J. Kendon, Suman Ravuri, Laurence Aitchison, Peter A. G. Watson   +4 more
wiley   +1 more source

A Virtual Clinical Trial of Psychedelics to Treat Patients With Disorders of Consciousness

Advanced Science, Volume 13, Issue 11, 23 February 2026.
Disorders of consciousness after severe brain injury are marked by reduced complexity of brain activity and limited treatment options. Using personalized whole‐brain models, this study shows that simulated lysergic acid diethylamide (LSD) and psilocybin shift patient brain dynamics closer to criticality.
Naji L.N. Alnagger, Paolo Cardone, Charlotte Martial, Yonatan Sanz Perl, Iván Mindlin, Jacobo D Sitt, Leor Roseman, Robin Carhart‐Harris, David Nutt, Pablo Mallaroni, Natasha Mason, Johannes G Ramaekers, Vincent Bonhomme, Steven Laureys, Gustavo Deco, Olivia Gosseries, Pablo Núñez, Jitka Annen   +17 more
wiley   +1 more source

TVB C++: A Fast and Flexible Back‐End for The Virtual Brain

Advanced Science, Volume 13, Issue 2, 9 January 2026.
TVB C++ is a streamlined and fast C++ Back‐End for The Virtual Brain (TVB), designed to make it as flexible as TVB, and FAST. Another pillar is to be fully compatible with TVB so easy bindings can be created from Python. Users can easily configure TVB C++ to execute the same code but with enhanced performance and parallelism.
Ignacio Martín, Gorka Zamora‐López, Jan Fousek, Michael Schirner, Petra Ritter, Viktor Jirsa, Gustavo Deco, Gustavo Patow   +7 more
wiley   +1 more source

On the Noisy Road to Open Quantum Dynamics: The Place of Stochastic Hamiltonians

Annalen der Physik, Volume 538, Issue 1, January 2026.
Stochastic Hamiltonian formulations of open quantum dynamics are revisited, highlighting their roots in stochastic calculus. The connections among stochastic Hamiltonians, stochastic Schrödinger equations, and master‐equation approaches are made explicit.
Pietro De Checchi, Federico Gallina, Barbara Fresch, Giulio G. Giusteri   +3 more
wiley   +1 more source

A Survey of SIR‐Based Differential Epidemic Models for Control and Security Against Malware Propagation in Computer Networks

SECURITY AND PRIVACY, Volume 9, Issue 1, January/February 2026.
ABSTRACT Unarguably, malware and their variants have metamorphosed into objects of attack and cyber warfare. These issues have directed research focus to modeling infrastructural settings and infection scenarios, analyzing propagation mechanisms, and conducting studies that highlight optimized remedial measures.
Chukwunonso Henry Nwokoye
wiley   +1 more source