Results 201 to 210 of about 6,436,916 (343)

A Machine Learning Model to Improve Risk Adjustment Accuracy in Medicare. [PDF]

Health Serv Res
Shenfeld DK, Warrenburg L, Silvert E, Guido M, Makar M, Joynt Maddox K, Navathe AS, Parikh RB, Emanuel EJ.   +8 more
europepmc   +1 more source

Zein‐Based Adhesives: Sustainable Extraction and Application in Bioadhesive Technologies

Advanced Engineering Materials, EarlyView.
Zein is extracted from corn gluten meal using a simple and scalable process with high yield (~90%). The resulting protein is applied in bioadhesives modified with Ca2+ and Fe3+ ions, exhibiting substrate‐dependent adhesion. The findings demonstrate competitive bonding performance and highlight the role of ionic interactions in tuning adhesion ...
Paula Bertolino Sanvezzo, Daniela Winsley Valereto Friozi, Vinícius de Oliveira, Marcia Cristina Branciforti   +3 more
wiley   +1 more source

Additive Gaussian Process Regression for Predictive Design of High‐Performance, Printable Silicones

Advanced Engineering Materials, EarlyView.
A chemistry‐aware design framework for tuning printable polydimethylsiloxane (PDMS) for vat photopolymerization (VPP) is developed using additive Gaussian process (GP) modeling. Polymer network mechanics informs variable groupings, feasible formulation constraints, and interaction variables.
Roxana Carbonell, Martha Leach, Hongtao Song, Carolyn Seepersad   +3 more
wiley   +1 more source

An Evaluation Method for Curriculum Learning Outcomes Achievement Based on Cloud Model under the OBE Concept

, 2023
Yahui Yan, Ying Wen
openalex   +2 more sources

Development of a machine learning model for predicting urosepsis after ureteroscopic lithotripsy. [PDF]

Urolithiasis
Mei A, Zeng S, Zhou W, Cai M, Wang J, Sun X, Chen M.   +6 more
europepmc   +1 more source

Thermodynamic Pathways of Nonequilibrium Solidification in Wire‐Arc Additive Manufacturing Fe‐Based Multicomponent Alloy Structures

Advanced Engineering Materials, EarlyView.
Geometry‐driven thermal behavior in wire‐arc additive manufacturing (WAAM) influences microstructural evolution during nonequilibrium solidification of a chemically complex Fe–Cr–Nb–W–Mo–C nanocomposite system. By comparing different deposits configurations, distinct entropy–cooling rate correlations, segregation, and carbide evolution are revealed ...
Blanca Palacios, Anthony Gonzalez, Aleksander Aleman, Tyler Dolmetsch, Tanaji Paul, Arvind Agarwal   +5 more
wiley   +1 more source

Replication Data for The examination of the relationship between learning motivation and learning effectiveness: a mediation model of learning engagement

Chiwei Chen
openalex   +1 more source

Effect of Laser Deoxidation on Adhesive‐Bonded Aluminum in an Oxygen‐Free Atmosphere

Advanced Engineering Materials, EarlyView.
This study investigates laser ablation of aluminum under oxygen‐free conditions. The goal is to produce oxide‐free substrates that enable improved adhesive bonding with epoxy. Optimized laser parameters (90% overlap, 300 µJ) combined with oxide‐free substrates result in the highest tensile strength of the adhesive bond.
Sandra Gerland, Finn‐Lennard Janthur, Sarah Seffer, Jörg Hermsdorf, Ludger Overmeyer, Annika Raatz   +5 more
wiley   +1 more source

Corrigendum to “Predicting biomass comminution: Physical experiment, population balance model, and deep learning” [Powder Technology 441 (2024) 119830]

Minglei Lu, Yidong Xia, Tiasha Bhattacharjee, Jordan Klinger, Zhen Li   +4 more
openalex   +1 more source

A metabolomics-driven machine learning model for osteoporosis risk prediction. [PDF]

JBMR Plus
Qiu C, Afolabi BL, Deng J, Su K, Jiang L, Gonzalez-Ramirez M, Mungasavalli Gnanesh SS, Luo Z, Tian Q, Shen H, Deng HW.   +10 more
europepmc   +1 more source