Results 41 to 50 of about 3,002 (120)

Engineered Optical Fibers for Deep‐Tissue Applications

open access: yesAdvanced Optical Materials, Volume 14, Issue 10, 13 March 2026.
This review establishes a foundational framework for designing optical fibers for deep‐tissue medicine. It systematically links material innovations like polymers and hydrogels with structural paradigms to enable state‐of‐the‐art diagnostics, including endoscopy and biosensing, and targeted therapeutics, guiding future clinical translation.
Yuzhen Li   +16 more
wiley   +1 more source

Implementation of the Hierarchical Reference Theory for simple one-component fluids

open access: yes, 2002
Combining renormalization group theoretical ideas with the integral equation approach to fluid structure and thermodynamics, the Hierarchical Reference Theory is known to be successful even in the vicinity of the critical point and for sub-critical ...
A. Meroni   +25 more
core   +1 more source

Beyond Local Footprints: Disentangling Large‐Scale Redistribution and Local Abundance Responses to Offshore Wind Farms

open access: yesEcology and Evolution, Volume 16, Issue 3, March 2026.
We combine regression‐based species distribution models with a mechanistic redistribution component to assess how regional human activities affect animal distribution and abundance across spatial scales. Applied to common murres (Uria aalge) in the German North Sea, the framework indicates scenario‐based reductions in numbers within German waters of 18.
Moritz Mercker   +6 more
wiley   +1 more source

Supersolutions for a class of semilinear heat equations

open access: yes, 2012
A semilinear heat equation $u_{t}=\Delta u+f(u)$ with nonnegative initial data in a subset of $L^{1}(\Omega)$ is considered under the assumption that $f$ is nonnegative and nondecreasing and $\Omega\subseteq \R^{n}$.
EM Stein   +8 more
core   +1 more source

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

open access: yesSmall 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   +3 more
wiley   +1 more source

Interpretable Machine Learning: A Comprehensive Review of Foundations, Methods, and the Path Forward

open access: yesWIREs Data Mining and Knowledge Discovery, Volume 16, Issue 1, March 2026.
This systematic review of 352 studies establishes a comprehensive taxonomy for Interpretable Machine Learning, transitioning from foundational intrinsic models to advanced deep learning explanations. It reveals a critical paradigm shift toward “mechanistic interpretability” and actionable recourse, emphasizing that future AI systems must be rigorously ...
Shimon Fridkin, Michael Bendersky
wiley   +1 more source

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

open access: yesGeochemistry, 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   +5 more
wiley   +1 more source

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

open access: yesWater 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   +5 more
wiley   +1 more source

Quasi‐Fuchsian flows and the coupled vortex equations

open access: yesBulletin of the London Mathematical Society, Volume 58, Issue 3, March 2026.
Abstract We provide an alternative construction of the quasi‐Fuchsian flows introduced by Ghys. Our approach is based on the coupled vortex equations that allows to see these flows as thermostats on the unit tangent bundle of the Blaschke metric, uniquely determined by a conformal class and a holomorphic quadratic differential.
Mihajlo Cekić, Gabriel P. Paternain
wiley   +1 more source

A New Local Perimeter Control Approach to Minimum Length Scale in Topology Optimization

open access: yesInternational Journal for Numerical Methods in Engineering, Volume 127, Issue 4, 28 February 2026.
ABSTRACT This work presents a novel framework for enforcing minimum length‐scale constraints in topology optimization, a fundamental challenge for ensuring manufacturable designs. Two complementary methodologies are proposed. The first, and primary, approach is based on local perimeter control, which regulates the amount of perimeter within localized ...
Jose A. Postigo   +3 more
wiley   +1 more source

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