Results 291 to 300 of about 11,399,904 (367)

Mapping the “X” Debate: Water Fluoridation Sentiment Analysis With Advanced Machine Learning

open access: yesJournal of Public Health Dentistry, Volume 85, Issue 3, Page 231-243, Summer 2025.
ABSTRACT Objectives This study aimed to examine public sentiment regarding community water fluoridation (CWF) using data from “X” (formerly Twitter) over the past decade. The goal was to understand public opinion trends and identify opportunities for targeted public health communication.
Nilesh Torwane   +3 more
wiley   +1 more source

I-SVVS: integrative stochastic variational variable selection to explore joint patterns of multi-omics microbiome data. [PDF]

open access: yesBrief Bioinform
Dang T   +13 more
europepmc   +1 more source

Hybrid physics‐informed neural network with parametric identification for modeling bridge temperature distribution

open access: yesComputer-Aided Civil and Infrastructure Engineering, Volume 40, Issue 22, Page 3503-3524, 9 September 2025.
Abstract This paper introduces a novel hybrid multi‐model thermo‐temporal physics‐informed neural network (TT‐PINN) framework for thermal loading prediction in composite bridge decks. Unlike the existing PINN applications in heat transfer that focus on simple geometries, this framework uniquely addresses multi‐material domains and realistic boundary ...
Yanjia Wang   +4 more
wiley   +1 more source

Inhomogeneous Khintchine–Groshev theorem without monotonicity

open access: yesBulletin of the London Mathematical Society, Volume 57, Issue 9, Page 2639-2657, September 2025.
Abstract The Khintchine–Groshev theorem in Diophantine approximation theory says that there is a dichotomy of the Lebesgue measure of sets of ψ$\psi$‐approximable numbers, given a monotonic function ψ$\psi$. Allen and Ramírez removed the monotonicity condition from the inhomogeneous Khintchine–Groshev theorem for cases with nm⩾3$nm\geqslant 3$ and ...
Seongmin Kim
wiley   +1 more source

A Bayesian mixture model for Poisson network autoregression. [PDF]

open access: yesSoc Netw Anal Min
Hung E, Mantziou A, Reinert G.
europepmc   +1 more source

Curl curl versus Dirichlet Laplacian eigenvalues

open access: yesBulletin of the London Mathematical Society, Volume 57, Issue 9, Page 2738-2747, September 2025.
Abstract We provide an upper estimate for the eigenvalues of the curl curl operator on a bounded, three‐dimensional Euclidean domain in terms of eigenvalues of the Dirichlet Laplacian. The result complements recent inequalities between curl curl and Neumann Laplacian eigenvalues.
Jonathan Rohleder
wiley   +1 more source

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