Results 141 to 150 of about 2,641,904 (279)

Data‐Driven High‐Throughput Volume Fraction Estimation From X‐Ray Diffraction Patterns

open access: yesAdvanced Intelligent Discovery, EarlyView.
Long exposure times and the need for manual evaluation limit the use of X‐ray diffraction in high‐throughput applications. This study presents a data‐driven approach addressing both issues. HiVE (a method for High‐throughput Volume fraction Estimation) performs composition estimation for high‐noise XRD patterns produced using polychromatic emission ...
Hawo H. Höfer   +6 more
wiley   +1 more source

Index to Predict Waiting Times for Pediatric Liver Transplantation. [PDF]

open access: yesPediatr Transplant
Shin E   +7 more
europepmc   +1 more source

TV ADVERTISING [PDF]

open access: yes, 2008
Belkevich, I., Tkachenko, L.V.
core  

The Interoperability Challenge in DFT Workflows Across Implementations

open access: yesAdvanced Intelligent Discovery, EarlyView.
Interoperability and cross‐validation remain major challenges in the computational materials science. In this work, we introduce a common input/output standard that enables internal translation across multiple workflow managers—AiiDA, PerQueue, Pipeline Pilot, and SimStack—while producing results in a unified schema.
Simon K. Steensen   +13 more
wiley   +1 more source

Minimally invasive tricuspid valve surgery after failed transcatheter tricuspid valve repair. [PDF]

open access: yesAnn Cardiothorac Surg
Akansel S   +5 more
europepmc   +1 more source

Intelligent Operator‐Independent Flexibility in Robotic Non‐Destructive Evaluation

open access: yesAdvanced Intelligent Systems, EarlyView.
Non‐destructive evaluation of high‐value components remains a manufacturing bottleneck due to rigid robotic calibration and fixturing. This study presents a flexible, adaptable system integrating 3D vision and force‐position control with a collaborative KUKA LBR robot. The geometry‐agnostic system enables pose‐independent ultrasonic inspection, detects
Amine Hifi   +11 more
wiley   +1 more source

Prevalence and Importance of Tricuspid Valve Prolapse in Patients with Primary Mitral Regurgitation. [PDF]

open access: yesJ Cardiovasc Dev Dis
Wijngaarden ALV   +6 more
europepmc   +1 more source

Disentangling Aleatoric and Epistemic Uncertainty in Physics‐Informed Neural Networks: Application to Insulation Material Degradation Prognostics

open access: yesAdvanced Intelligent Systems, EarlyView.
Physics‐Informed Neural Networks (PINNs) provide a framework for integrating physical laws with data. However, their application to Prognostics and Health Management (PHM) remains constrained by the limited uncertainty quantification (UQ) capabilities.
Ibai Ramirez   +4 more
wiley   +1 more source

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