Results 131 to 140 of about 62,442 (223)

Co‐ingesting whey protein with dual‐source carbohydrate enhances amino acid availability without compromising post‐exercise liver glycogen resynthesis

The Journal of Physiology, EarlyView.
Abstract figure legend Graphical overview of the experimental study. The upper‐left panel presents the research question, and the bottom‐left panel provides a schematic overview of the experimental design. The right‐hand panel depicts repetitive spectral data obtained by magnetic resonance spectroscopy, liver glycogen content during the 5 h post ...
Sophie C. Hannon, James McStravick, Libby Henthorn, Stephen J. Bawden, Jonathan C. Y. Tang, Rachel Dunn, Ryosuke Makino, Kenneth Smith, Javier T. Gonzalez, Nathan Hodson, James P. Morton, Aneurin J. Kennerley, Mark A. Hearris   +12 more
wiley   +1 more source

Parameters Identification for Lithium-Ion Battery Models Using the Levenberg–Marquardt Algorithm

World Electric Vehicle Journal
The increasing adoption of batteries in a variety of applications has highlighted the necessity of accurate parameter identification and effective modeling, especially for lithium-ion batteries, which are preferred due to their high power and energy ...
Ashraf Alshawabkeh, Mustafa Matar, Fayha Almutairy   +2 more
doaj   +1 more source

Dynamic Transitions for Fast Joint Acquisition and Reconstruction of CEST‐Rex$$ {R}_{ex} $$ and T1$$ {T}_1 $$

Magnetic Resonance in Medicine, Volume 95, Issue 4, Page 2153-2168, April 2026.
ABSTRACT Purpose This work proposes a method for the simultaneous estimation of the exchange‐dependent relaxation rate Rex$$ {R}_{ex} $$ and the longitudinal relaxation time T1$$ {T}_1 $$ from a single acquisition. Methods A novel acquisition scheme was developed that combines CEST saturation with an inversion pulse and a Look‐Locker readout to capture
Markus Huemer, Clemens Stilianu, Nick Scholand, Daniel Mackner, Martin Uecker, Moritz Zaiss, Rudolf Stollberger   +6 more
wiley   +1 more source

Ultimate Intrinsic SNR in the Torso of Realistic Body Models

Magnetic Resonance in Medicine, Volume 95, Issue 4, Page 2409-2419, April 2026.
ABSTRACT Purpose This work aims to investigate how the ultimate intrinsic signal‐to‐noise ratio (uiSNR) varies with increasing static magnetic field B0$$ {B}_0 $$ in the torso of realistic body models. Methods A dipole cloud was positioned around the realistic body model and randomly excited.
Yuting Wang, Markus W. May, Marcel Gratz, Mark E. Ladd, Stephan Orzada   +4 more
wiley   +1 more source

An implementation of the partitioned Levenberg-Marquardt algorithm for applications in computer vision

Semina: Ciências Exatas e Tecnológicas, 2009
At several applications of computer vision is necessary to estimate parameters for a specific model which best fits an experimental data set. For these cases, a minimization algorithm might be used and one of the most popular is the Levenberg ...
Tiago Polizer da Silva, Marcela Hitomi Koyama, Maria Bernadete de Morais França, José Alexandre de França   +3 more
doaj  

Learning hydrocracking reaction dynamics via neural ODEs: A data‐driven, gradient‐interpretable lumped modelling framework

The Canadian Journal of Chemical Engineering, Volume 104, Issue 3, Page 1372-1386, March 2026.
This work demonstrates the application of neural ordinary differential equations (neural ODEs) for learning hydrocracking reaction kinetics directly from data, achieving robust predictions under noise and sparsity while preserving mechanistic interpretability through gradient‐based analysis of temperature‐ and concentration‐dependent reaction rates ...
Souvik Ta, Lakshminarayanan Samavedham, Ajay K. Ray   +2 more
wiley   +1 more source

Income–Well‐Being Gradient in Sickness and Health

Health Economics, Volume 35, Issue 3, Page 409-422, March 2026.
ABSTRACT We propose a method for studying the value of insurance. For this purpose, we analyze the well‐being of the same individuals, comparing sick and healthy years, using German panel survey data on life satisfaction. We impose structure on the income–well‐being gradient by fitting a flexible utility function to the data, focusing on the ...
Ohto Kanninen, Petri Böckerman, Ilpo Suoniemi   +2 more
wiley   +1 more source

Self‐Navigated, Retrospective, Data‐Consistent Motion Correction for MPnRAGE

Magnetic Resonance in Medicine, Volume 95, Issue 3, Page 1429-1439, March 2026.
ABSTRACT Purpose To extend and automate a data‐consistent, self‐navigated motion‐correction method for 3D radial T1‐weighted imaging. Methods This method incorporated rigid‐body motion effects into the forward model, solving for parameters that maximize consistency with the data.
John Podczerwinski, Andrew L. Alexander, Brittany G. Travers, James J. Li, Steven R. Kecskemeti   +4 more
wiley   +1 more source

Optimizing a Double Stage Heat Transformer Performance by Levenberg–Marquardt Artificial Neural Network

Machine Learning and Knowledge Extraction
Waste heat recovery is a critical strategy for optimizing energy consumption and reducing greenhouse gas emissions. In this context, the circular economy highlights the importance of this practice as a key tool to enhance energy efficiency, minimize ...
Suset Vázquez-Aveledo, Rosenberg J. Romero, Lorena Díaz-González, Moisés Montiel-González, Jesús Cerezo   +4 more
doaj   +1 more source

Wheat Yield Response to Organic Fertilisers Depends on Drought Timing in a Sandy Soil

Journal of Sustainable Agriculture and Environment, Volume 5, Issue 1, March 2026.
ABSTRACT Organic fertilisers enhance crop drought resilience by improving nitrogen (N) and phosphorus (P) use efficiency and soil‐plant water relations. However, the underlying mechanisms governing their effects across different drought timings in wheat under sandy soils remain unclear.
Muhammad Kamran, Petra Marschner, Aasma Parveen, Thi Hoang Ha Truong, Zhe H. Weng   +4 more
wiley   +1 more source