Results 231 to 240 of about 61,814 (314)

Phenotypic Subtypes of Obstructive Eustachian Tube Dysfunction as Defined by Cluster Analysis

The Laryngoscope, EarlyView.
Obstructive ETD encompasses five clinically distinct phenotypes, ranging from mild, post‐upper respiratory infection presentations to chronic, bilateral disease driven by sinusitis and reflux. These were identified through hierarchical cluster analysis of 490 patients using seven key clinical variables.
Jenilkumar H. Patel, Duncan G. J. Green, Manal S. Malik, Steven X. Wang, Edward D. McCoul   +4 more
wiley   +1 more source

Equity of opportunity in China's essential public health services: influencing factors and moderating mechanisms. [PDF]

Int Health
Zhang Y, Cheng J, Liu L, Wang H, Zhan X.
europepmc   +1 more source

Epitaxial Integration of III–V Membrane Photodetectors With Lateral p–i–n Junctions on the Silicon‐On‐Insulator Waveguide Platform

Laser &Photonics Reviews, EarlyView.
Epitaxial growth forms III–V membranes directly atop the silicon waveguide layer on SOI, while in‐plane in situ doping defines lateral p–i–n InP/InGaAs junctions in a single growth step. The membrane photodetectors achieve 50 Gb/s NRZ‐OOK operation.
Zhao Yan, Yifu Chen, Martin Ebert, Ka Ming Wong, Wenjie Wang, Tim Grieb, Florian F. Krause, Andreas Rosenauer, Graham T. Reed, David J. Thomson, Qiang Li   +10 more
wiley   +1 more source

Performance Analysis of OCDM in ISAC Scenario. [PDF]

Sensors (Basel)
Xu P, Li M, Zhan T, Gong F, Xiao Y, Lei X.   +5 more
europepmc   +1 more source

MatImageAgent: A Large Language Multimodal Agent for Materials Characterization Images

Materials Genome Engineering Advances, EarlyView.
MatImageAgent, an LLM‐powered agent‐based system, automates materials science image analysis by task descriptions, shows high stability/accuracy, and boosts productivity by reducing programming needs. ABSTRACT Our study introduces MatImageAgent, an agent‐based system that employs large language models (LLMs) to completely automate the image analysis ...
Mingxi Jiang, Mohamed AitTamerd, Ziqing He, Wenzhu Bi, Manling Zhao, Shuran Li, Menghao Yang   +6 more
wiley   +1 more source

Shifting care from hospitals to general practice from the health insurers' perspective: an interview study. [PDF]

BMC Health Serv Res
Dros JT, Bos I, van Dijk CE, Meijboom BR, van der Hijden EJE, Timmers L, Verheij RA.   +6 more
europepmc   +1 more source

Deep Learning‐Based Dynamic Segmentation of the Left Atrium in 4D Flow MRI

Magnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose To design a deep learning pipeline for automated, time‐resolved segmentation of the left atrium (LA) from 4D flow MRI data. Methods We studied 100 individuals including 65 patients with atrial fibrillation (AF) and 35 healthy subjects (HS) resulting in 2530 4D flow MRI time‐volumes acquired in different centers and scanners.
Jonas Leite, Tom Da‐Silva Faria, Marie Shannon Soulez, Khaoula Bouazizi, Perrine Marsac, Elie Mousseaux, Jérôme Lamy, Moussa Gueda Moussa, Olivier Piot, Jacques Feignoux, Daniel Giese, Nicolas Badenco, Estelle Gandjbakhch, Alban Redheuil, Mikaël Laredo, Emilie Bollache, Nadjia Kachenoura   +16 more
wiley   +1 more source

Radar in 7500 m Well Based on Channel Adaptive Algorithm. [PDF]

Sensors (Basel)
Liu H, Yang H, Bai C, Li S, Guo C, Zhao Q.   +5 more
europepmc   +1 more source

Otovent Versus Valsalva: Physiological Insights for Diagnostic and Therapeutic Autoinflation in Eustachian Tube Dysfunction

Otolaryngology–Head and Neck Surgery, EarlyView.
Abstract Objectives Autoinflation aids assessment of Eustachian tube function, or as a conservative treatment for obstructive Eustachian tube dysfunction. This study compares the physiological characteristics of 2 autoinflation techniques, the Otovent® device and the Valsalva manoeuvre, to inform clinical application for both diagnosis and therapy ...
Kiran Joshi, Victor Lim, Victor Ho, James Tysome, Matthew Smith   +4 more
wiley   +1 more source

Sketch recognition model based on improved CycleGAN network and dual attention mechanism. [PDF]

Sci Rep
Wang Y, Xie L, Huang M.
europepmc   +1 more source