Results 211 to 220 of about 174,626,138 (254)

Data‐Driven Discovery of Classical and Anomalous Transport Models From Sparse Breakthrough Curves in Heterogeneous Porous Media via Symbolic Regression

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 6, December 2026.
Abstract Natural porous media are highly heterogeneous, with flow and transport controlled by pore‐space morphology and connectivity. Consequently, classical continuum models often fail to describe observed transport under strong heterogeneity. A key challenge is identifying physically interpretable transport models from sparse observational data.
Jinwoo Im, Felipe P. J. de Barros, Sami Masri, Muhammad Sahimi   +3 more
wiley   +1 more source

A Fokker-Planck framework for control of epidemics. [PDF]

J Math Biol
Parkinson C, Roy S.
europepmc   +1 more source

Inverse problems for semilinear elliptic PDE with a general nonlinearity a(x,u)$a(x,u)$

Transactions of the London Mathematical Society, Volume 13, Issue 1, December 2026.
Abstract This article studies the inverse problem of recovering a nonlinearity in an elliptic equation Δu+a(x,u)=0$\Delta u + a(x,u) = 0$ from boundary measurements of solutions. Previous results based on first‐order linearization achieve this under a sign condition on ∂ua(x,u)$\partial _u a(x,u)$, and results based on higher order linearization ...
David Johansson, Janne Nurminen, Mikko Salo   +2 more
wiley   +1 more source

Optimal Design of Elastic Plates: Hybrid Numerical Method Based on Homogenization and Shape Derivative

Mathematical Methods in the Applied Sciences, Volume 49, Issue 17, Page 17793-17815, 30 November 2026.
ABSTRACT This paper focuses on optimal design problems in the context of the Kirchhoff‐Love model for pure bending of a thin, solid, symmetric plate under a transverse load. The objective is to simultaneously determine the optimal outer shape of the domain and the distribution of two isotropic materials within the domain in order to minimize compliance.
Ivana Crnjac, Jelena Jankov Pavlović, Petar Kunštek   +2 more
wiley   +1 more source

From microscope to model: rotating signaling dynamics and cluster size in Dictyostelium discoideum aggregates. [PDF]

BMC Mol Cell Biol
Saitia S, Lai YC, Tang MH, Jain J, Reiss M, Rappel WJ.   +5 more
europepmc   +1 more source

On the Global Asymptotic Stability of an Infection‐Age‐Structured Competitive Model

Mathematical Methods in the Applied Sciences, Volume 49, Issue 17, Page 18040-18072, 30 November 2026.
ABSTRACT We investigate an infection‐age‐structured competitive epidemiological model involving multiple strains. While classical results establish competitive exclusion when a unique maximal basic reproduction number exists, we provide here a complete characterization of the asymptotic behavior for an arbitrary number of populations without assuming ...
S. Girel, Q. Richard
wiley   +1 more source

Oxygen-responsive KoBdcA/KoBdcB/KoBpdA system regulates c-di-GMP levels to control bacterial cellulose biosynthesis and motility in <i>Kosakonia oryzendophytica</i> FY-07. [PDF]

Microbiol Spectr
Zhao X, Shi Y, Tian W, Tian Y, Hu C, Guo Z, Ma T, Li G, Gao G.   +8 more
europepmc   +1 more source

Feedback Linearisation with State Constraints

International Journal of Robust and Nonlinear Control, Volume 36, Issue 17, Page 7579-7595, 25 November 2026.
ABSTRACT Feedback Linearisation (FBL) is a widely used technique that applies feedback laws to transform input‐affine nonlinear control systems into linear control systems, allowing for the use of linear controller design methods such as pole placement.
Songlin Jin, Yuanbo Nie, Morgan Jones
wiley   +1 more source

Rhythmic-phasic c-di-AMP signaling: a new paradigm for bacterial growth synchronization governed by a pseudo-phosphodiesterase and modifiable diadenylate cyclase. [PDF]

Cell Commun Signal
Adhikari S, Ghods S, Seelan RS, Hamidi M, Sekula M, Bagchi P, Scott DA, Lamont RJ, Moradali F.   +8 more
europepmc   +1 more source

A New Physics‐Constrained Neural Network Approach to Retrieve CH4 Vertical Profiles From Hyperspectral Infrared Data

Journal of Geophysical Research: Atmospheres, Volume 131, Issue 21, 16 November 2026.
Abstract Methane (CH4 ${\text{CH}}_{4}$) is a critical greenhouse gas, and accurate monitoring of its vertical distribution is essential for understanding its radiative impact and identifying emission sources. This paper introduces a novel methodology using a physics‐constrained neural network based on soft constraints to retrieve CH4 ${\text{CH}}_{4}$
Rocco Giosa, Marco D’Emilio, Pamela Pasquariello, Guido Masiello, Carmine Serio, Maria Ragosta, Francesco Carbone, Christian Natale Gencarelli, Italia De Feis, Diana Carolina Fonnegra Mora, Lorenzo Cassini, Raffaele Inglese, Giuliano Liuzzi   +12 more
wiley   +1 more source