Results 211 to 220 of about 1,090,897 (359)
ABSTRACT Noonan Syndrome (NS) is a clinically and genetically heterogeneous condition characterized by typical facial dysmorphisms, short stature, congenital heart defects, and developmental delays. While variants in genes such as PTPN11, SOS1, and RAF1 account for most genetically confirmed cases, diagnosis is challenging due to phenotypic overlap ...
Gabriela Jeesoo Kim +9 more
wiley +1 more source
Penetration Experiments With Limestone Targets and Ogive-Nose Steel Projectiles
D. J. Frew +2 more
openalex +2 more sources
ABSTRACT In 2019, the Australian government established the Royal Commission into Violence, Abuse, Neglect and Exploitation of People with Disability (‘Disability Royal Commission’, DRC) to investigate widespread mistreatment of people with disability. Nearly 10,000 people with disability, their families and supporters engaged with the DRC.
Kate D'Cruz +7 more
wiley +1 more source
A multimodal fusion model for predicting the roasting-induced crispness of walnut kernels using machine vision, hyperspectral imaging, and electronic nose. [PDF]
Fu J +8 more
europepmc +1 more source
Time Response Simulation for Nose Landing Gear Shimmy Damper Design
Yang Chen
openalex +1 more source
ABSTRACT Background Eosinophilic chronic rhinosinusitis with nasal polyps (eCRSwNP) is characterized by persistent sinonasal inflammation and marked eosinophilic infiltration. Although the relationship between eosinophils and NP formation has been extensively studied, the mechanisms governing eosinophil transepithelial migration into the nasal mucosa ...
Yeong‐In Jo +7 more
wiley +1 more source
Machine Learning-Driven E-Nose-Based Diabetes Detection: Sensor Selection and Feature Reduction Study. [PDF]
Taspinar YS.
europepmc +1 more source
Machine Learning‐Enhanced Clinical Decision Support for Diagnosing Sinusitis With Nasal Endoscopy
ABSTRACT Background Sinusitis is a prevalent disease for which nasal endoscopy (NE) is an optimal diagnostic modality. However, NE accuracy is limited by inter‐operator variability in landmark identification and localization of mucus that is necessary for sinusitis diagnosis. We sought to develop a novel multi‐class machine learning (ML) framework that
Dipesh Gyawali +12 more
wiley +1 more source
Computational Fluid Dynamics and Virtual Septoplasty in Nasal Airway Obstruction: A Narrative Review. [PDF]
Braithwaite IT +3 more
europepmc +1 more source

