Results 201 to 210 of about 24,126 (306)
Changes in Dental Students' Entrepreneurial Profile: A 10‐Year Comparison
ABSTRACT Purpose Rapid transformations in the dental labor market and curricular reforms have reshaped the competencies required for new graduates. Entrepreneurial readiness and strategic management skills have become crucial for professional sustainability.
Camila Lindoni Azevedo +2 more
wiley +1 more source
Topology modeling and energy efficiency prediction of parallel chillers based on deep learning. [PDF]
Liu Y, Yang X, Zhang L, Tian Y.
europepmc +1 more source
ABSTRACT Background The demand for cardiac MRI is increasing with the growing burden of cardiovascular disease. However, conventional protocols require sequential acquisitions for multi‐breath‐hold 2D cine and 3D MR angiography (MRA), which is time‐consuming.
Ruixin Chen +7 more
wiley +1 more source
The needle study: Machine learning as a new method for case‐finding in celiac disease
Abstract Objectives Despite a well‐defined diagnostic work‐up, uncertainties persist regarding celiac disease (CeD) detection strategies in the general population. Machine learning (ML) algorithms offer promise in aiding medical decision‐making on clinical data.
Chiara Maria Trovato +9 more
wiley +1 more source
Intelligent diagnosis of major depressive disorder with edge convolution and contrastive learning. [PDF]
Long D, Zhu C, Xiong L, Long Z, Dong F.
europepmc +1 more source
Abstract BACKGROUND Red wine is a high‐value grape derivative containing complex chemical compounds that dictate its quality. Qualitative and quantitative determination of these compounds is essential for standardizing and classifying the product. This proof‐of‐concept study integrates chemometric methods and machine learning algorithms to establish ...
Emirhan Atlayan +2 more
wiley +1 more source
Objectives Based on ultrasound technology and clinical indicators, this study intends to develop multiple risk prediction models for diabetic peripheral neuropathy (DPN), conduct comparative analyses of these models, and further evaluate and validate the diagnostic efficacy of the optimal model for DPN as well as its potential in clinical application ...
Bo‐yu She +4 more
wiley +1 more source
High-Quality Representation Learning Approach to Spatio-Temporal Traffic Speed Data with <i>L<sub>p,ϵ</sub></i>-Norm. [PDF]
Yang L, Ma Z, Hou Y.
europepmc +1 more source
This work presents a structure‐aware graph convolutional network that models polymers as statistical ensembles to predict macroscopic properties. By combining topologically realistic graphs generated via kinetic Monte Carlo simulations with explicit molar mass distributions, the framework achieves high accuracy in classifying architectures and ...
Julian Kimmig +7 more
wiley +1 more source

