Results 221 to 230 of about 11,192,626 (307)

Absolute quantification of redox state of cytochrome c oxidase and hemoglobin in human tissue using continuous-wave broadband near-infrared spectroscopy [PDF]

Fatemeh Tavakoli, Xinlong Wang, Hanli Liu   +2 more
openalex   +1 more source

Characterization of Defect Distribution in an Additively Manufactured AlSi10Mg as a Function of Processing Parameters and Correlations with Extreme Value Statistics

Advanced Engineering Materials, EarlyView.
Predicting extreme defects in additive manufacturing remains a key challenge limiting its structural reliability. This study proposes a statistical framework that integrates Extreme Value Theory with advanced process indicators to explore defect–process relationships and improve the estimation of critical defect sizes. The approach provides a basis for
Muhammad Muteeb Butt, Varma Kvvssn, Hossein Laieghi, Zia Uddin, Peyman Ansari, E. Kıvanç Sadak, Can Barış Toprak, Hüseyin Kızıl, Enrico Salvati   +8 more
wiley   +1 more source

Open-Label Study Assessing Relative and Absolute Bioavailability of Oral Camizestrant Formulations and Food Effects in Healthy Postmenopausal Women. [PDF]

Clin Transl Sci
Sykes A, Engman H, Taylor N, Brier T, Maudsley R, Kirova B, Mathewson AM, Bragg RA, Gränfors M, Gangl ET, Klinowska T, Li Y, Menakuru SR, Roe C, McDermott J, Lindemann JPO.   +15 more
europepmc   +1 more source

Absolute photoionization cross sections of the acceptor state level of chromium in indium phosphide

, 1986
G. Bremond, G. Guillot, A. Nouailhat, G. Picoli   +3 more
openalex   +2 more sources

A Workflow to Accelerate Microstructure‐Sensitive Fatigue Life Predictions

Advanced Engineering Materials, EarlyView.
This study introduces a workflow to accelerate predictions of microstructure‐sensitive fatigue life. Results from frameworks with varying levels of simplification are benchmarked against published reference results. The analysis reveals a trade‐off between accuracy and model complexity, offering researchers a practical guide for selecting the optimal ...
Luca Loiodice, Krzysztof S. Stopka, Michael D. Sangid   +2 more
wiley   +1 more source

KeySDL: sparse dictionary learning for keystone microbe identification from steady-state observations using a dynamical-systems model. [PDF]

BioData Min
Gordon M, Akyol TY, Amos B, Andersen SU, Williams C.   +4 more
europepmc   +1 more source

NFDI MatWerk Ontology (MWO): A BFO‐Compliant Ontology for Research Data Management in Materials Science and Engineering

Advanced Engineering Materials, EarlyView.
This article presents the NFDI‐MatWerk Ontology (MWO), a Basic Formal Ontology‐based framework for interoperable research data management in materials science and engineering (MSE). Covering consortium structures, research data management resources, services, and instruments, MWO enables semantic integration, Findable, Accessible, Interoperable, and ...
Hossein Beygi Nasrabadi, Ebrahim Norouzi, Kostiantyn Hubaiev, Jörg Waitelonis, Harald Sack   +4 more
wiley   +1 more source

Acute Hypoxia Decreases Maximum Fat Oxidation Rate During Step Incremental Exercise Normalized to Respiratory Compensation Point. [PDF]

Eur J Sport Sci
Hassanein YE, Ibrahim D, Murias JM, Townsend N.   +3 more
europepmc   +1 more source

The Chapter1 of Part 2 of The illusion of Living God “Arahitogami” and “State Shinto”: What invoke Absolute God?

均 新田, Hitoshi NITTA
openalex   +1 more source

Prediction of Surface Topography Parameters in Direct Laser Interference Patterning of Stainless Steel Using Infrared Monitoring and Convolutional Neural Networks

Advanced Engineering Materials, EarlyView.
This study presents an infrared monitoring approach for direct laser interference patterning (DLIP) combined with a convolutional neural network (CNN). Thermal emission data captured during structuring are used to predict surface topography parameters.
Lukas Olawsky, Marcelo Sallese, Leander Kläber, Clemens Kuhn, Keming Du, Andrés Fabián Lasagni   +5 more
wiley   +1 more source