Results 41 to 50 of about 682 (92)

Navigating the Ethereal Tightrope: The Nanogenerator Manipulates Neurons for Immune Equilibrium

Advanced Science, Volume 13, Issue 14, 9 March 2026.
This review explores how nanogenerators modulate neuroimmune responses, offering innovative strategies for treating neurological disorders. By interfacing with neural pathways, they enable precise control of immune activity, especially via vagus nerve stimulation.
Jia Du, Rui Deng, Ya Wu, Hong‐Xia Ren, Zong‐Hong Lin, Yang‐Bao Miao   +5 more
wiley   +1 more source

Ghost effect from Boltzmann theory

Communications on Pure and Applied Mathematics, Volume 79, Issue 3, Page 558-675, March 2026.
Abstract Taking place naturally in a gas subject to a given wall temperature distribution, the “ghost effect” exhibits a rare kinetic effect beyond the prediction of classical fluid theory and Fourier law in such a classical problem in physics. As the Knudsen number ε$\varepsilon$ goes to zero, the finite variation of temperature in the bulk is ...
Raffaele Esposito, Yan Guo, Rossana Marra, Lei Wu   +3 more
wiley   +1 more source

Modeling Airborne Influenza in Three Dimensions

Engineering Reports, Volume 8, Issue 3, March 2026.
A novel 3D fluid dynamics model demonstrates how influenza outbreaks spread spatially via “epidemic flow.” Simulations reveal that direct contact is the dominant transmission route over aerosol spread, offering a new tool to inform targeted public health interventions and spatially‐aware risk assessment.
Daniel Ugochukwu Nnaji, Omeh Chinenye, Gabriel Chinedu Nnaji, Samuel Onuche John, Nnaemeka Stanley Aguegboh   +4 more
wiley   +1 more source

Trends in Dietary Exosome‐Like Nanoparticles: Preparation, Nutritional Functions, Bioactive Delivery Efficacy, Human Health Effects, and Future Product Development

Small Structures, Volume 7, Issue 3, March 2026.
This graphical abstract summarizes the current advances in dietary exosome‐like nanoparticles (ELNs), highlighting their biogenesis pathways (MVB‐dependent, vacuole‐mediated, and EXPO routes), molecular composition (nucleic acids, lipids, proteins, and bioactive compounds), and major preparation strategies including differential ultracentrifugation ...
Nidesha Randeni, Jinhai Luo, Min‐Hsiung Pan, Baojun Xu   +3 more
wiley   +1 more source

A Thermodynamic Framework for Turing‐Type Instabilities in Porous Media: Part I Theory

Geochemistry, Geophysics, Geosystems, Volume 27, Issue 3, March 2026.
Abstract Pattern formation in geological materials is commonly described using analogies to Turing‐type reaction–diffusion systems, yet a unifying thermodynamic explanation remains elusive. Here we develop a multiscale, thermodynamically consistent framework for pattern‐forming instabilities in porous media undergoing coupled thermo–hydro–mechanical ...
Klaus Regenauer‐Lieb, Manman Hu, Qingpei Sun, Chong Liu, Zhennan Zhu, Victor Calo   +5 more
wiley   +1 more source

Modeling Transient Groundwater Flow in Unconfined Aquifers Under Dynamic Conditions Using Physics‐Informed Neural Networks

Water Resources Research, Volume 62, Issue 3, March 2026.
Abstract Deep learning neural networks (DLNNs) hold great potential for modeling groundwater flow, but their performance depends on data availability. Physics‐informed neural networks (PINNs) help to reduce the reliance of DLNNs on data by integrating physical laws into the training process. This approach is increasingly used in applications related to
Adhish Virupaksha, François Lehmann, Hussein Hoteit, Anis Younes, Marwan Fahs, Thomas Nagel   +5 more
wiley   +1 more source

Numerical Approximation of a PDE‐Constrained Optimization Problem that Appears in Data‐Driven Computational Mechanics

International Journal for Numerical Methods in Engineering, Volume 127, Issue 4, 28 February 2026.
ABSTRACT We investigate an optimization problem that arises when working within the paradigm of Data‐Driven Computational Mechanics. In the context of the diffusion‐reaction problem, such an optimization problem seeks the continuous primal fields (gradient and flux) that are closest to some predefined discrete fields taken from a material data set. The
Pedro B. Bazon, Cristian G. Gebhardt, Gustavo C. Buscaglia, Roberto F. Ausas   +3 more
wiley   +1 more source

Architecture and regulatory functions of c-di-GMP signaling in classical Bordetella species. [PDF]

FEMS Microbiol Rev
Vondrova D, Mugni SL, Blumenstein J, Kasiztky C, Sisti F, Fernández J, Kamanova J.   +6 more
europepmc   +1 more source

Thermal Field Reconstruction on Microcontrollers: A Physics-Informed Digital Twin Using Laplace Equation and Real-Time Sensor Data. [PDF]

Sensors (Basel)
Benitez VH, Pacheco J, Brau A.
europepmc   +1 more source

Temporal neural operator for modeling time-dependent physical phenomena. [PDF]

Sci Rep
Diab W, Al Kobaisi M.
europepmc   +1 more source