Results 111 to 120 of about 58,557 (260)
ABSTRACT Introduction Hepatocellular carcinoma (HCC) remains a major cause of cancer‐related mortality worldwide, and postoperative recurrence continues to limit long‐term survival. Liver‐resident natural killer (NK) cells are key effectors of antitumor immunity in the hepatic microenvironment. Interleukin‐37 (IL‐37), an anti‐inflammatory cytokine, has
Yuki Imaoka +10 more
wiley +1 more source
A β$$ \beta $$‐variational autoencoder with β$$ \beta $$ = 0.1 generates high‐fidelity synthetic Raman spectra of industrial sinter with a 16‐fold improvement in spectral fidelity over SMOTE‐based augmentation (KL divergence: 0.0075 vs. 0.121), enabling reliable basicity prediction (R2 = 0.83) from limited labeled datasets.
Marjorie Ariele Pereira +4 more
wiley +1 more source
Raman Spectroscopy and Generative Variational Autoencoders for Metallurgical Coke Quality Prediction
An integrated soft sensor framework combining standardized Raman spectroscopy, synergy‐vector feature selection, variational autoencoder‐based data augmentation, and regression models (kNN, PLS, and SVR) predicts metallurgical coke quality (CSR and DI).
Pedro Henrique Agrimpio Coutinho +2 more
wiley +1 more source
ABSTRACT Patients with chronic hepatitis C (CHC) frequently present with steatotic liver disease (SLD) and cardiometabolic risk factors (CMRFs). This study aimed to evaluate the impact of SLD and CMRFs on liver‐related outcomes (LROs) in CHC patients after HCV eradication.
Chung‐Feng Huang +15 more
wiley +1 more source
Dynamic and Objective Quantification of Facial Nerve Palsy Using Smartphone‐Based 3D Facial Geometry
This prospective study evaluated smartphone‐captured high‐resolution 3D facial geometry in 99 patients with unilateral facial nerve palsy across 207 visits and 12 healthy volunteers. Dynamic motion features combined with machine learning accurately estimated signed continuous House–Brackmann severity and identified clinically significant palsy ...
Koki Hasebe +9 more
wiley +1 more source
Parameters for the various SVR models which were found through 10-fold cross-validation using a grid search over a supplied range of values and total mean squared error (MSE) during cross-validation.
Michaela Schimpl (346506) +2 more
core +1 more source
Mapping Soil Salinity Prediction Enhanced by Time‐Series Remote Sensing Features
ABSTRACT Gaining timely knowledge of soil salinity's spatiotemporal dynamics is crucial for accurate mapping. Through temporal span comparisons, this study systematically extracts and utilizes time‐series features (TSFs) derived from Sentinel‐2 and Landsat 8 NDVI and SAVI data (2019–2023) to enhance prediction accuracy. Three datasets were constructed:
Wenji Zhu +3 more
wiley +1 more source
In India, it is estimated that 10–24 million people are living with active HCV infection, with a seroprevalence of 0.09% to 2.02% among the healthy population.
Astha +5 more
doaj +1 more source
Machine Learning‐Guided Design of Cu–Ni–Sn Alloys With Tailored Ni3Sn/Ni3Sn2 Precipitates
To address the trade‐off between strength and conductivity in Cu–Ni–Sn alloys, this study proposes a new closed‐loop design strategy that integrates machine learning, thermodynamic calculations, and experimental verification from the perspective of “phase selectivity”, providing a new approach for multiphase control and synergistic improvement of multi‐
Fei Tan +10 more
wiley +1 more source

