Results 121 to 130 of about 2,854,398 (286)
This study combines full‐field tomography with diffraction mapping to quantify radial (ε002$\varepsilon _{002}$) and axial (ε100$\varepsilon _{100}$) lattice strain in wrinkled carbon‐fiber specimens for the first time. Radial microstrain gradients (−14.5 µεMPa$\varepsilon \mathrm{MPa}$−1) are found to signal damage‐prone zones ahead of failure, which ...
Hoang Minh Luong +7 more
wiley +1 more source
Decomposable Neuro Symbolic Regression
Symbolic regression (SR) models complex systems by discovering mathematical expressions that capture underlying relationships in observed data. However, most SR methods prioritize minimizing prediction error over identifying the governing equations, often producing overly complex or inaccurate expressions.
Giorgio Morales, John W. Sheppard
openaire +3 more sources
GPTIPS: Genetic Programming and Symbolic Regression for Matlab
GPTIPS is a free, open source MATLAB toolbox for performing genetic programming and symbolic regression. GPTIPS provides a simple, easy to use framework to allow scientists and engineers to automatically develop compact, accurate data driven non-linear ...
Searson DP
core +3 more sources
During high-temperature plastic deformation, material flow stress is jointly affected by deformation temperature, strain rate, and strain. Its accurate prediction is essential for hot-working process optimization and finite element simulation. To address
Xiaoge Quan +6 more
doaj +1 more source
Innate Immunocompetent hiPSC‐Derived Neurospheroids Capture Early CNS Responses to rAAV
Knowledge of human CNS immune responses to AAV‐based gene therapies remains limited due to the lack of immune‐competent human models. Here, a hiPSC‐derived 3D neuroimmune platform integrating neurospheroids and microglia is established using stirred‐tank bioreactors.
Catarina M. Gomes +14 more
wiley +1 more source
Memetic Semantic Boosting for Symbolic Regression
International audienceThis paper introduces a novel approach called semantic boosting regression (SBR), leveraging the principles of boosting algorithms in symbolic regression using a Memetic Semantic GP for Symbolic Regression (MSGP) algorithm as weak ...
Schoenauer, Marc, Leite, Alessandro
core +1 more source
Analysis and prediction of carbon emission factors based on genetic programming
In recent years, frequent extreme weather events such as storms and floods globally have made carbon emission reduction a critical issue for addressing environmental challenges through sustainable green pathways.
Wenchao Pan +5 more
doaj +1 more source
Charting Endocrine Progenitors Across Species and Organs
Endocrine progenitors give rise to the hormone‐producing cells of the pancreas and intestine. Using single‐cell multiomics and proteomics, this study compares these progenitors across species, systems, and organs, mapping the conserved and species‐specific gene regulatory networks that guide their formation.
Changying Jing +21 more
wiley +1 more source
ABSTRACT Autism Spectrum Disorder (ASD) is associated with gut microbiota dysbiosis, yet the contribution of specific microbial metabolic pathways remains unclear. Reanalysis of a public ASD cohort revealed reduced functional potential in microbial tryptophan oxidative metabolism.
Rui Guo +14 more
wiley +1 more source
ABSTRACT Current clinical approaches for knee cartilage repair are often limited by hypertrophy and fibrosis in the regenerated tissues. A decellularized tissue‐engineered hyaline cartilage graft (dLhCG), composed of a type II collagen‐based extracellular matrix, has been developed to overcome this limitation.
Zhen Zhang +16 more
wiley +1 more source

