Results 231 to 240 of about 1,559,766 (320)
A dual‐modal wearable pulse detection system is developed for sleep apnea monitoring by integrating a self‐powered PENG and PPG sensor with a biomimetic fingertip structure. Through a two‐stage detection strategy, continuous PPW monitoring and on‐demand PPG detection achieve high‐accuracy sleep apnea recognition while maintaining low power consumption.
Jia Wang+10 more
wiley +1 more source
A novel SERS platform using gradient nanostructures and machine learning is presented. Gradient nanostructures minimize fabrication variability and enhance spectral diversity. The ML model significantly improves quantification precision, robustness and reproducibility, reducing test MSE by 84.8% and increasing R2 by 61.2%, enabling reliable real‐world ...
Xiaoyu Zhao+13 more
wiley +1 more source
Predictors for response to rehabilitation in patients with hip or knee osteoarthritis: a comparison of logistic regression models with three different definitions of responder [PDF]
Martin Weigl+4 more
openalex +1 more source
Compared with the non‐risk G allele of rs9606, the risk T allele of rs9606 decreases the binding affinity of NUDT21 for LYRM4, triggering 3'UTR shortening that stabilizes LYRM4 mRNA and elevates its expression. Increased LYRM4 expression promoted malignant phenotypes of non‐small cell lung cancer (NSCLC) cells through modulating ferroptosis, supporting
Meng Jin+11 more
wiley +1 more source
Suspended Sediment Concentrations Downstream of a Harvested Peat Bog: Analysis and Preliminary Modelling of Exceedances Using Logistic Regression [PDF]
André St‐Hilaire+6 more
openalex +1 more source
This study presents a novel approach for intraoperative identification of the IDH1 genotype in glioma patients using a surface‐enhanced Raman scattering (SERS) probe to measure glutathione and hydrogen peroxide. By integrating AI‐driven deep learning algorithms, the method achieves rapid and accurate genotype differentiation, offering the potential to ...
Hang Yin+14 more
wiley +1 more source
THE MODELLING OF THE LOGISTICAL NETWORK OF ON‐LINE GROUPED GOODS
Andrius Jaržemskis
openalex +2 more sources