Results 141 to 150 of about 91,920 (292)

Symbolic Regression and Multi‐Objective Optimization of the Flory–Huggins Interaction Parameter for Hydrogels

Advanced Engineering Materials, EarlyView.
We develop a data‐driven method to derive the mathematical expressions of the Flory–Huggins interaction parameter χ for the swelling behavior of temperature–responsive hydrogels. Starting from initial assumptions of χ, our workflow combines Bayesian optimization, Flory–Rehner theory, and symbolic regression to generate candidate χ expressions.
Yawen Wang, Adrian Ehrenhofer, Thomas Wallmersperger   +2 more
wiley   +1 more source

Identification of aged-rice adulteration based on near-infrared spectroscopy combined with partial least squares regression and characteristic wavelength variables. [PDF]

Food Chem X, 2023
Li Z, Song J, Ma Y, Yu Y, He X, Guo Y, Dou J, Dong H.   +7 more
europepmc   +1 more source

Sensitivity of methods for estimating breeding values using genetic markers to the number of QTL and distribution of QTL variance

, 2010
The objective of this simulation study was to compare the effect of the number of QTL and distribution of QTL variance on the accuracy of breeding values estimated with genomewide markers (MEBV).
Bovenhuis, H., Bastiaansen John WM, Bovenhuis Henk, van Arendonk Johan AM, Calus Mario PL, John W. M. Bastiaansen, Mario P. L. Calus, Coster, A., Albart Coster, Henk Bovenhuis, Bastiaansen, J.W.M., Calus, M.P.L., Johan A. M. van Arendonk, Arendonk, J.A.M., van, van Arendonk, J.A.M., Coster Albart   +15 more
core   +1 more source

Microstructure Evolution of a VMnFeCoNi High‐Entropy Alloy After Synthesis, Swaging, and Annealing

Advanced Engineering Materials, EarlyView.
The synthesis and processing (rotary swaging and annealing) of the novel VMnFeCoNi alloy is investigated, alongside the estimation of the grain size effect on hardness. Analysis of a wide grain size range of recrystallized microstructures (12–210 µm) reveals a low annealing twin density.
Aditya Srinivasan Tirunilai, Zeki Ayrildi, Buse Şen, Maik Rajkowski, Mathias Redondo Garcia, Markus Stricker, Guillaume Laplanche   +6 more
wiley   +1 more source

Determinants of fish and fishery products consumption in India: A partial least squares regression approach

Aquaculture and Fisheries
Understanding the factors of fish and fishery products consumption is important for various operators in the fisheries industry. The knowledge of the determinants of fish and fishery products consumption might provide insights to them on what course of ...
Sakiru Adebola Solarin, Pritish Kumar Sahu, Pradip Kundu   +2 more
doaj   +1 more source

Partial Least Squares Regression Analysis of Alzheimer's Disease Biomarkers, Modifiable Health Variables, and Cognitive Change in Older Adults with Mild Cognitive Impairment. [PDF]

J Alzheimers Dis, 2023
Stark J, Hiersche KJ, Yu JC, Hasselbach AN, Abdi H, Hayes SM, Alzheimer’s Disease Neuroimaging Initiative.   +6 more
europepmc   +1 more source

Influence of Test Temperature and Test Frequency on Fatigue Life of Aluminum Alloy EN AW‐2618A

Advanced Engineering Materials, EarlyView.
The influence of test temperature and test frequency on the fatigue life of EN AW‐2618A is investigated. High‐cycle fatigue tests are performed at different test temperatures and frequencies on the 1000 h/230°C overaged state. Both test parameters reduce fatigue life due to time‐dependent damage mechanisms.
Ying Han, Julian M. Rosalie, Jan Radners, Mauro Madia, Philipp von Hartrott, Birgit Skrotzki   +5 more
wiley   +1 more source

Partial Least Squares Regression Method to Predict Docosahexaenoic and Eicosapentaenoic Acids in Fish Oil Supplements

Orbital: The Electronic Journal of Chemistry
Fish oil dietary supplements have been linked to various health benefits due to the high concentration of omega-3 polyunsaturated fatty acid (ω-3 PUFA). The potential use of attenuated total reflectance-Fourier transform infrared (ATR-FTIR) spectroscopy
Thiago Inácio Barros Lopes, Tainara Andrade do Nascimento, Elba de Souza Pereira, Samuel Leite de Oliveira, Diego Galvan, Glaucia Braz Alcantara   +5 more
doaj   +1 more source

Predicting Activity Duration in Smart Sensing Environments Using Synthetic Data and Partial Least Squares Regression: The Case of Dementia Patients. [PDF]

Sensors (Basel), 2022
Ortiz-Barrios M, Järpe E, García-Constantino M, Cleland I, Nugent C, Nugent C, Arias-Fonseca S, Jaramillo-Rueda N.   +7 more
europepmc   +1 more source

High‐Temperature Nanoindentation of Metals: Assessing Thermal Drift, Frame Compliance, and Chemical Composition Effects on the Reported Mechanical Properties

Advanced Engineering Materials, EarlyView.
Do not let thermal drift and instrument artifacts deceive high‐temperature nanoindentation results. We compare classical Oliver–Pharr and automatic image recognition analyses across steels and a Ni alloy to quantify these effects. Accounting for artifacts reveals systematic softening with temperature, while Cr and Ni additions boost resistance ...
Velislava Yonkova, Steffen Brinckmann, Ruth Schwaiger   +2 more
wiley   +1 more source