Exploring the Effect of 1-MCP Treatment on the Post-Harvest Quality and Electronic Nose Characteristics of 'Jizaohong' Apricots. [PDF]
Liu Z +6 more
europepmc +1 more source
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
Enhanced Lung Cancer Classification Accuracy via Hybrid Sensor Integration and Optimized Fuzzy Logic-Based Electronic Nose. [PDF]
Ozsandikcioglu U, Atasoy A, Guney S.
europepmc +1 more source
Convenient and accurate method for the identification of Chinese teas by an electronic nose
H. Liu, Q. Li, Yu Gu
openalex +1 more source
Selectivity Enhancement in Electronic Nose Based on an Optimized DQN [PDF]
Yu Wang, Jianguo Xing, Shu Qian
openalex +1 more source
ABSTRACT Background The intranasal trigeminal system contributes to the sense of smell. Its integrity in olfactory dysfunction (OD) may be crucial for future treatments. This study assessed trigeminal sensitivity in healthy individuals and patients with OD of different etiologies using electrical stimulation of the nasal mucosa.
Konstantinos Garefis +12 more
wiley +1 more source
OPTIMISATION OF AN “ELECTRONIC NOSE” FOR GASOLINES DISCRIMINATION USING THE CLUSTER ANALYSYS
I. V. Kruglenko
openalex +2 more sources
Complications in Endoscopic Sinus Surgery: A TriNetX Network Analysis
Abstract Background The potential complications of endoscopic sinus surgery (ESS) remain a critical surgical consideration. This study aims to examine complication rates and identify trends in ESS‐related complications. Methods The TriNetX network was queried for patients undergoing ESS between 2005 and 2024.
Jakob L. Fischer +8 more
wiley +1 more source
Enhanced Selectivity Electronic Nose Systems for Agricultural Ammonia Gas Detection via a co-designed WO<sub>3</sub>-ZnO Sensor Array and Convolutional Neural Networks. [PDF]
Du M +7 more
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

