Results 171 to 180 of about 253,016 (276)
Individualized survival prediction in medullary thyroid carcinoma using a least absolute shrinkage and selection operator-Cox-based nomogram. [PDF]
Zhan Z, Cao W, Huang S, Gui X, Li J.
europepmc +1 more source
Abstract Background Autogenous particulate dentin has emerged as one of the promising biocompatible alternatives to traditional bone graft materials in alveolar ridge augmentation. Although its clinical success is documented, comprehensive studies combining histological and radiographic evaluations remain limited. This case report addresses this gap by
Kosuke Kashiwagi +4 more
wiley +1 more source
Exploratory structural equation modeling and the curse of dimensionality. [PDF]
Le TT +3 more
europepmc +1 more source
ABSTRACT Background “Clean label” antifungal ingredients and fermentation protocols are a promising strategy to meet shelf‐life requirements in the bread industry. Objectives This study evaluated the mold‐free shelf‐life of bread formulations incorporating sourdough combined with antifungal ingredients or additives.
Maria Robles‐Hernandez +2 more
wiley +1 more source
Construction of a Risk Prediction Model for Stroke Occurrence in Septic Shock Patients: A Combined Analysis Using LASSO and Multivariate Logistic Regression. [PDF]
Lai Z, Zhang H.
europepmc +1 more source
Currently we find regression problems in many branches of science, so, as better is the model we use to select variables, better will be solved the problem. The models seek: precise predictions, stability and interpretability. Traditional methods such as stepwise regression, all subsets regression or ridge regression fail in any of the required ...
openaire +2 more sources
Stochastic LASSO for extremely high-dimensional genomic data. [PDF]
Baek B, Jo J, Kang M, Kim Y.
europepmc +1 more source
Machine Learning Paradigm for Advanced Battery Electrolyte Development
Electrolyte materials determine ion transport kinetics within the bulk and interphases, ultimately influencing the performance of battery systems. As data‐driven paradigms increasingly reshape materials discovery, this review provides an application‐oriented exploration of the intersection between machine learning and electrolyte science. By evaluating
Chang Su +4 more
wiley +1 more source
A Mitochondrial Plasma Proteomic Signature Identifies Metastatic Chromophobe Renal Cell Carcinoma. [PDF]
Steiner C +15 more
europepmc +1 more source

