Results 101 to 110 of about 150,984 (329)

A Surface‐engineered Microfluidic Device for Antibody‐Mediated Negative Selection of High‐Quality Sperm for Assisted Reproduction

Advanced Functional Materials, EarlyView.
This study reports a microfluidic device with a functionalized surface utilizing a polyoxazoline coating and covalently immobilized gold nanoparticles and anti‐phosphatidylserine antibody. The device efficiently eliminates pre‐apoptotic and apoptotic spermatozoa and yields sperm with substantially improved quality and low DNA damage, offering a simple ...
Soraya Rasi Ghaemi, David J. Sharkey, Nicole O. McPherson, Markos Negash Alemie, Krasimir Vasilev, Sarah A. Robertson   +5 more
wiley   +1 more source

Meta-Modeling by Symbolic Regression and Pareto Simulated Annealing [PDF]

The subject of this paper is a new approach to Symbolic Regression.Other publications on Symbolic Regression use Genetic Programming.This paper describes an alternative method based on Pareto Simulated Annealing.Our method is based on linear regression ...
Rennen, G., Stinstra, E., Teeuwen, G.J.A.   +2 more
core   +1 more source

End-to-end symbolic regression with transformers [PDF]

, 2022
Pierre-Alexandre Kamienny, Stéphane d’Ascoli, Guillaume Lample, François Charton   +3 more
openalex   +1 more source

Counterion Dependent Side‐Chain Relaxation Stiffens a Chemically Doped Thienothiophene Copolymer

Advanced Functional Materials, EarlyView.
Oxidation of a thienothiophene copolymer, p(g3TT‐T2), via different doping strategies and dopant molecules resulted in materials with similar oxidation levels and a high electrical conductivity of ≈100 S cm−1. However, mechanical properties varied significantly, with sub‐glass transition temperatures and elastic moduli spanning from –44°C to –3°C and ...
Mariavittoria Craighero, Meghna Jha, Elsa Veronica Flores‐Vela, Joost Kimpel, Andreas Schaefer, Jiali Guo, Jesika Asatryan, Alberto Peinador Veiga, Shuichi Haraguchi, Per‐Anders Carlsson, Jaime Martín, Mariano Campoy‐Quiles, Christian Müller   +12 more
wiley   +1 more source

Symbolic Regression for the Determination of Joint Roughness Coefficient

Mathematical and Computational Applications
In this study, a novel symbolic regression-based empirical equation has been developed to compute the joint roughness coefficient (JRC) value based on the statistical parameters of rock joints.
Yuyang Zhao, Hongbo Zhao
doaj   +1 more source

Symbolic regression as a surrogate model in evolutionary algorithms [PDF]

, 2016
Evoluční algoritmy jsou často omezeny počtem funkčních ohodnocení které jsou dostupné během řešení problémů optimalizace černé skříňky. Tato práce popisuje jeden z přístupu k zlepšení diferenciální evoluce pomocí náhradních modelů generovaných ...
Perić Vladimir
core  

Uncertainty Quantification for Interpretable Constitutive Models using Genetic Programming based Symbolic Regression

, 2023
Karl Garbrecht, John M Emery, Coleman Alleman, Brian Lester, Geoffrey Bomarito, Michael Buche, Jacob Hochhalter   +6 more
openalex   +1 more source

Covalent Organic Frameworks for Photocatalytic CO2 Reduction: Metal Integration Principles, Strategies and Functions

Advanced Functional Materials, EarlyView.
Covalent organic frameworks (COFs) with metals have been recognized as versatile platforms for photocatalytic CO2 reduction (CO2PRR). Herein, an overview of metal integration strategies for COFs is systematically summarized. Regulatory mechanisms and structure–activity relationships between metal integration and COF‐based CO2PRR are emphasized.
Jie He, Minxian Zhang, Jinqiang Zhang, Hongqi Sun, Shaobin Wang, Xiaoguang Duan   +5 more
wiley   +1 more source

Data-Driven Approach for Left Ventricular Volume Estimation using Intracardiac Admittance

Current Directions in Biomedical Engineering
Accurate estimation of left ventricular volume (LVV) is essential for managing cardiovascular diseases such as heart failure and myocardial infarction. A promising approach for continuous LVV estimation is using intracardiac admittance measurements.
Voss Daniel, Leonhardt Steffen, Walter Marian   +2 more
doaj   +1 more source

Bias and Variance Analysis of Contemporary Symbolic Regression Methods

Applied Sciences
Symbolic regression is commonly used in domains where both high accuracy and interpretability of models is required. While symbolic regression is capable to produce highly accurate models, small changes in the training data might cause highly dissimilar ...
Lukas Kammerer, Gabriel Kronberger, Stephan Winkler   +2 more
doaj   +1 more source