Results 141 to 150 of about 356,151 (281)

Neural Fields for Highly Accelerated 2D Cine Phase Contrast MRI

Advanced Science, EarlyView.
ABSTRACT 2D cine phase contrast (CPC) MRI provides quantitative information on blood velocity and flow within the human vasculature. However, data acquisition is time‐consuming, motivating the reconstruction of the velocity field from undersampled measurements to reduce scan times. In this work, neural fields are proposed as a continuous spatiotemporal
Pablo Arratia, Martin J. Graves, Mary McLean, Carolin Pirkl, Carola‐Bibiane Schönlieb, Timo Schirmer, Florian Wiesinger, Matthias J. Ehrhardt   +7 more
wiley   +1 more source

Fatty acid composition of ground-beef products and their plant-based meat substitutes available in Hungary. [PDF]

Front Nutr
Koczka V, Marosvölgyi T, Szabó Z, Dergez T, Szabó É.   +4 more
europepmc   +1 more source

Plant-Based Meat Substitutes in the Flexitarian Age: An Audit of Products on Supermarket Shelves. [PDF]

Nutrients, 2019
Curtain F, Grafenauer S.
europepmc   +1 more source

Certificate of affiliation given to Meat Cutters, Poultry and Creamery Employees by Amalgamated Meat Cutters and Butcher Workmen of North America

, 1941
Certificate of affiliation given to Meat Cutters, Poultry and Creamery Employees by Amalgamated Meat Cutters and Butcher Workmen of North America, local union #613, Parsons, Kansas. Legible names on the document include J.W.
Amalgamated Meat Cutters and Butcher Workmen of North America
core  

NeuroSuite for Long‐Term Functional and Structural Studies of Air‐Liquid Interface Cerebral Organoids

Advanced Science, EarlyView.
NeuroSuite provides a modular hardware‐software platform integrating Neuroweb and NeuroMaps to enable long‐term, in situ electrophysiological interrogation of air–liquid interface organoid slices while preserving tissue architecture. Its components can be used together or independently to capture real‐time activity, spatial network dynamics, and ...
Belquis Haider, Sagnik Middya, Daniel J. Lloyd‐Davies‐Sánchez, Nino F. Läubli, Sulay Vora, Jakob Träuble, Rohan N. Krajeski, Yuqing Feng, Daniel Duncko, Josiah S. Riley, Rubén Ruiz‐Mateos Serrano, Ole Paulsen, Madeline A. Lancaster, George G. Malliaras, Gabriele S. Kaminski Schierle   +14 more
wiley   +1 more source

An Integrated NLP‐ML Framework for Property Prediction and Design of Steels

Advanced Science, EarlyView.
This study presents a data‐driven framework that uses language‐processing techniques to interpret steel processing descriptions and machine‐learning models to predict mechanical properties. By organising complex process histories into meaningful groups and enabling rapid property forecasts, the work supports faster, more informed steel design through ...
Kiran Devraju, Adithya Umanath Rai, Jose Thomson, Marzie Ghorbani, Shujing Zhao, Nick Birbilis   +5 more
wiley   +1 more source

Evolving Appetites: Current Evidence and Future Perspectives in Terms of Meat Substitutes in Europe. [PDF]

Food Sci Nutr
Mustapa MAC, Baba Y, Baishakhy SD, Kallas Z.   +3 more
europepmc   +1 more source

Meat substitutes in Swedish school meals: nutritional quality, ingredients, and insights from meal planners

This study provides an overview of the ingredients, origin, processing level, nutritional quality and practitioners’ insights of commonly used meat substitutes in Swedish school meals. Using quantitative and qualitative data, this study evaluated 59 meat
Sjöberg, Agneta,, Post, Anna,, Elf, Maja,, Pettersson, Josephine,, Wollmar, Mari,   +4 more
core   +1 more source

Atomic Defects in Layered Transition Metal Dichalcogenides for Sustainable Energy Storage and the Intelligent Trends in Data Analytics

Advanced Science, EarlyView.
This review comprehensively summarizes the atomic defects in TMDs for their applications in sustainable energy storage devices, along with the latest progress in ML methodologies for high‐throughput TEM data analysis, offering insights on how ML‐empowered microscopy facilitates bridging structure–property correlation and inspires knowledge for precise ...
Zheng Luo, Ying Yang, Zizhen Fu, Fengqi Liu, Susu Fang, Kele Xu, Shanshan Wang   +6 more
wiley   +1 more source

ML Workflows for Screening Degradation‐Relevant Properties of Forever Chemicals

Advanced Science, EarlyView.
The environmental persistence of per‐ and polyfluoroalkyl substances (PFAS) necessitates efficient remediation strategies. This study presents physics‐informed machine learning workflows that accurately predict critical degradation properties, including bond dissociation energies and polarizability.
Pranoy Ray, Andrew R. Castillo, Manoj Kolel‐Veetil, Surya R. Kalidindi   +3 more
wiley   +1 more source