Results 161 to 170 of about 12,738,743 (318)

An automated platform trial framework for A/B testing

open access: yesContemporary Clinical Trials Communications
This paper proposes a platform trial for conducting A/B tests with multiple arms and interim monitoring to investigate the impact of several factors on the expected sample size and probability of early stopping.
Wenru Zhou   +3 more
doaj   +1 more source

Leveraging Symbolic Artificial Intelligence and Fuzzy Logic for Materials Science: A Review of Methods, Challenges, and Applications to Scarce and Imperfect Experimental Data

open access: yesAdvanced Engineering Materials, EarlyView.
This article explores the transformative potential of symbolic artificial intelligence (AI) in the field of materials science, particularly in leveraging experimental data. The article presents several symbolic AI models and discusses their applications in materials science.
Ahmed Amrani   +7 more
wiley   +1 more source

Morphology, Transport, and Dynamics of Protein Adsorption in Open‐Cell Metal Foam

open access: yesAdvanced Engineering Materials, EarlyView.
Stainless steel (SS) open‐cell foams are shown to adsorb more protein per unit area than previously reported 316L SS and chromium oxide surfaces under static and flow conditions. An integrated approach combining 3D pore imaging, flow simulation, and protein adsorption experiments characterizes the foam’s performance.
Chinmaya Prerana Inguva   +2 more
wiley   +1 more source

3D‐Printed Titanium Gyroid Scaffold Structure Integrated With Tough Hybrid Materials for Cartilage Replacement

open access: yesAdvanced Engineering Materials, EarlyView.
This study proposes a potential device design for joint cartilage replacement. Silica‐polytetrahydrofuran (SiO2‐PolyTHF) hybrids with customizable mechanical properties were developed to mimic the characteristics of a natural meniscus. These were synthesized through a two‐pot sol–gel hybrid process.
Yu‐Chien Lin   +12 more
wiley   +1 more source

Early stopping for iterative estimation procedures [PDF]

open access: yes
Diese Dissertation ist ein Beitrag zum Forschungsfeld Early stopping im Kontext iterativer Schätzverfahren. Wir betrachten Early stopping dabei sowohl aus der Perspektive impliziter Regularisierungsverfahren als auch aus der Perspektive adaptiver ...
Stankewitz, Bernhard
core   +1 more source

Dynamic Early Stopping for Naive Bayes.

open access: yes, 2016
sponsorship: A¨aron Verachtert and Hendrik Blockeel are partially supported by FWO-Vlaanderen (G.0179.10, G0682.11) and KU Leuven Research Fund (CREA/13/014, GOA/13/010). Jesse Davis is partially supported by the KU Leuven Research Fund (C22/15/015), and FWO-Vlaanderen (G.0356.12, SBO- 150033).
Verachtert, Aäron   +2 more
openaire   +2 more sources

2D Skeletal Muscle Thin Film Actuators Enhance Efficiency of Biohybrid Robots

open access: yesAdvanced Functional Materials, EarlyView.
2D skeletal muscle thin film actuators generate millinewton‐scale forces and millimeter‐scale strokes while remaining functional for over 30 days. Their force density is 20‐fold higher than 3D skeletal muscle actuators, enabling multi‐fin robots with tunable speed and multidirectional steering.
Maheera Bawa   +5 more
wiley   +1 more source

Autonomous Multi‐Objective Nanoscale Characterization of Combinatorial (Al, Sc, B)N Films Reveals Composition‐Dependent Ferroelectric Regimes

open access: yesAdvanced Functional Materials, EarlyView.
Autonomous scanning probe microscopy and multi‐objective Bayesian optimization navigate a ternary (Al,Sc,B)N combinatorial library. Registered photoluminescence, electron‐probe compositional mapping, and X‐ray diffraction connect local electromechanical function to defect‐sensitive emission, composition, and crystal structure.
Yu Liu   +12 more
wiley   +1 more source

Surpassing early stopping: A novel correlation-based stopping criterion for neural networks

open access: yesNeurocomputing, 2023
Tamás Miseta   +2 more
semanticscholar   +1 more source

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