Results 61 to 70 of about 12,301 (257)

Accelerating graph-based tracking tasks with symbolic regression

Machine Learning: Science and Technology
The reconstruction of particle tracks from hits in tracking detectors is a computationally intensive task due to the large combinatorics of detector signals.
Nathalie Soybelman, Carlo Schiavi, Francesco A Di Bello, Eilam Gross   +3 more
doaj   +1 more source

A New Approximation for the Perimeter of an Ellipse

Algorithms
We consider the problem of approximating the perimeter of an ellipse, for which there is no known finite formula, in the context of high-precision performance.
Pablo Moscato, Andrew Ciezak
doaj   +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

Crack Growth Rate Model Derived from Domain Knowledge-Guided Symbolic Regression

Chinese Journal of Mechanical Engineering, 2023
Machine learning (ML) has powerful nonlinear processing and multivariate learning capabilities, so it has been widely utilised in the fatigue field. However, most ML methods are inexplicable black-box models that are difficult to apply in engineering ...
Shuwei Zhou, Bing Yang, Shoune Xiao, Guangwu Yang, Tao Zhu   +4 more
doaj   +1 more source

Microporous Microgel Assemblies Facilitating the Recruitment and Osteogenic Differentiation of Progenitor Cells for Bone Regeneration

Advanced Functional Materials, EarlyView.
There is a significant need for biomaterials with well‐defined stability and bioactivity to support tissue regeneration. In this study, we developed a tunable microgel platform that enables the decoupling of stiffness from porosity, thereby promoting bone regeneration.
Silvia Pravato, Haishuo Guan, Bianca M. Carrara, Mira Jacobs, Matteo Monticelli, Lukas Moser, Thomas Moragues, Andrew J. deMello, Tomaso Zambelli, Martin Ehrbar   +9 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

La mimesi della regressione alla prova dell’ordine simbolico: una pratica artistica regressiva

Itinera, 2013
The mimesis of regression is an artistic strategy that challenges the symbolic order. This challenge has some controversial points, since on the one hand the symbolic order proves to be extremely resistant as it manages to integrate the mimesis of ...
Matteo Meneghini
doaj   +1 more source

Reprogramming Tumor Cell Death via Processing Natural Drug to Carbon Dots Overcomes Collagen Barrier and Activates Antitumor Immunity

Advanced Functional Materials, EarlyView.
A traditional Chinese medicine‐derived carbon dots nanoplatform reprograms tumor cell death from apoptosis to necroptosis, dismantling therapy‐induced collagen barriers and promoting immunogenic death. pH‐responsive hydrogel assembled from carbon dots for localized delivery, this strategy suppresses primary tumors and metastasis, offering a new ...
Zekun Yan, Hongwei Cheng, Yupeng Liu, Wenfeng Xu, Quansheng Cheng, Lingyun Li, Xue Wu, Yingqi Liang, Jing Zhao, Gang Liu, Shaoping Li, Songnan Qu   +11 more
wiley   +1 more source

Forecasting Selected Commodities’ Prices with the Bayesian Symbolic Regression

International Journal of Financial Studies
This study firstly applied a Bayesian symbolic regression (BSR) to the forecasting of numerous commodities’ prices (spot-based ones). Moreover, some features and an initial specification of the parameters of the BSR were analysed.
Krzysztof Drachal, Michał Pawłowski
doaj   +1 more source

Ionic‐Electronic Hydrogel‐Liquid Metal Composite Bilayer with Tissue‐Adaptive and Adhesive Properties for Closed‐Loop Neuroprosthetic System

Advanced Functional Materials, EarlyView.
A hydrogel–liquid metal composite peripheral nerve interface (HLB‐PNI) combines electrically durable electrodes and tissue‐adhesive hydrogel for tissue‐adaptive implantation. In nerve‐injured rats, it enables the diagnosis of sensory‐motor connectivity via stimulation and neural signal recording.
Yewon Kim, Kyoungryong Kim, Jaehyon Kim, Heewon Choi, Mikyung Shin, Donghee Son   +5 more
wiley   +1 more source