Results 91 to 100 of about 40,856 (184)
Schematic illustration of the development, optimization, and therapeutic evaluation of the Leucas aspera phytosome‐based thermogel for topical antipsoriatic therapy, highlighting its enhanced solubility, skin deposition, and in vivo efficacy in an imiquimod‐induced psoriasis model. Created with BioRender.com.
Ananda Kumar Chettupalli +2 more
wiley +1 more source
Automated Coregistered Segmentation for Volumetric Analysis of Multiparametric Renal MRI
ABSTRACT Purpose This study aims to develop and evaluate a fully automated deep learning‐driven postprocessing pipeline for multiparametric renal MRI, enabling accurate kidney alignment, segmentation, and quantitative feature extraction within a single efficient workflow. Methods Our method has three main stages.
Aya Ghoul +8 more
wiley +1 more source
Investigating Hydrogel Structural Parameters in the Flory–Rehner Model Using Bayesian Optimization
ABSTRACT Hydrogels exhibit tunable solvent absorption driven by environmental stimuli such as temperature, pH, and light. While prior work established connections between synthesis processes and swelling behavior of temperature‐responsive hydrogels, the current study bridges the internal structure and the temperature‐responsive swelling behavior. First,
Yawen Wang +2 more
wiley +1 more source
This study presents a novel, nondestructive in situ method to quantify water ingress using near‐infrared absorption (NIRA) spectroscopy, calibrated with absolute water content via Karl–Fischer titration (KFT). The presented approach offers a powerful quality assurance and inspection tool for module manufacturers and solar developers, supporting ...
Daniel Schüsler +8 more
wiley +1 more source
ABSTRACT Data‐based learning of system dynamics allows model‐based control approaches to be applied to systems with partially unknown dynamics. Gaussian process regression is a preferred approach that outputs not only the learned system model but also the variance of the model, which can be seen as a measure of uncertainty.
Daniel Landgraf +2 more
wiley +1 more source
Text Mining in Bibliometrics and Science Mapping: A Methodological Review
Text mining has become a foundational component of contemporary bibliometrics and science mapping, enabling systematic analysis of the semantic structure, thematic evolution, and cognitive organization of scientific fields. Integrating textual evidence with relational indicators enriches knowledge maps and supports more comprehensive, content‐sensitive
Michelangelo Misuraca
wiley +1 more source
Direct Products for the Hamiltonian Density Property. [PDF]
Andrist RB, Huang G.
europepmc +1 more source
Maximally mutable Laurent polynomials. [PDF]
Coates T +3 more
europepmc +1 more source
Coulomb branch algebras via symplectic cohomology
Abstract Let (M¯,ω)$(\bar{M}, \omega)$ be a compact symplectic manifold with convex boundary and c1(TM¯)=0$c_1(T\bar{M})=0$. Suppose that (M¯,ω)$(\bar{M}, \omega)$ is equipped with a convex Hamiltonian G$G$‐action for some connected, compact Lie group G$G$.
Eduardo González +2 more
wiley +1 more source
The generic Markov cohomological Hall algebra is not spherically generated. [PDF]
Davison B.
europepmc +1 more source

