Results 211 to 220 of about 222,931 (262)

Space Correlation Constrained Physics Informed Neural Network for Seismic Tomography

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 2, April 2026.
Abstract Physics‐informed neural networks (PINNs) integrate physical constraints with neural architectures and leverage their nonlinear fitting capabilities to solve complex inverse problems. Tomography serves as a classic example, aiming to reconstruct subsurface velocity models to improve seismic exploration.
Yonghao Wang, Zhuo Jia, Bowu Jiang, Wenkai Lu   +3 more
wiley   +1 more source

Cerebral phosphorus metabolite as imaging biomarkers in Alzheimer's disease: a ³¹P magnetic resonance spectroscopy study. [PDF]

Neuroimage Clin
Zhao S, Dong Y, Jiang B, Bai Y, Wei W, Wu Y, Li C, Chen J, Wang M.   +8 more
europepmc   +1 more source

An Effective Physics‐Informed Neural Operator Framework for Predicting Wavefields

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 2, April 2026.
Abstract Solving the wave equation is fundamental for many geophysical applications. However, numerical solutions of the Helmholtz equation face significant computational and memory challenges. Therefore, we introduce a physics‐informed convolutional neural operator (CNO) (PICNO) to solve the Helmholtz equation efficiently.
X. Ma, T. Alkhalifah
wiley   +1 more source

Mechanism of traditional Chinese medicine in treating erectile dysfunction: A review. [PDF]

Medicine (Baltimore)
Zhang R, Wang J, Xu P, Wang H, Pang K.
europepmc   +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

Ferroelectric-assisted BaTiO₃/Cr-Zr-HMS (5, 10 & 20) catalysts for efficient visible-light removal of bromocresol green: structure-activity relationship and process optimization. [PDF]

RSC Adv
Parsafard N, Asgharinezhad AA, Karami N.
europepmc   +1 more source

Evaluation of preclinical antipsychotic models used to support first‐in‐human clinical trials

British Journal of Pharmacology, Volume 183, Issue 7, Page 1364-1389, April 2026.
Abstract Schizophrenia is regarded as a complex and heterogeneous psychiatric disorder, characterised by diverse symptoms and comorbidities, which complicate both clinical management and drug development. Current pharmacological treatment, primarily based on dopamine D2 receptor antagonism or partial agonism, which has not markedly progressed since the
Thi Viet Ha Nguyen, Declan P. McKernan, John P. Kelly   +2 more
wiley   +1 more source

Extractables and Leachables in Pharmaceutical Products: Potential Adverse Effects and Toxicological Risk Assessment. [PDF]

Toxics
Kuzmič S, Zlobec T, Dolenc MS, Roškar R, Lušin TT.   +4 more
europepmc   +1 more source

Macroscopic Market Making Games

Mathematical Finance, Volume 36, Issue 2, Page 352-373, April 2026.
ABSTRACT Building on the macroscopic market making framework as a control problem, this paper investigates its extension to stochastic games. In the context of price competition, each agent is benchmarked against the best quote offered by the others. We begin with the linear case.
Ivan Guo, Shijia Jin
wiley   +1 more source