Results 121 to 130 of about 150,984 (329)

Population Dynamics in Genetic Programming for Dynamic Symbolic Regression

Applied Sciences
This paper investigates the application of genetic programming (GP) for dynamic symbolic regression (SR), addressing the challenge of adapting machine learning models to evolving data in practical applications.
Philipp Fleck, Bernhard Werth, Michael Affenzeller   +2 more
doaj   +1 more source

Active Learning‐Accelerated Discovery of Fibrous Hydrogels with Tissue‐Mimetic Viscoelasticity

Advanced Functional Materials, EarlyView.
Active learning accelerates the design of fibrous hydrogels that mimic the viscoelasticity of native tissues. By integrating multi‐objective optimization and closed‐loop experimentation, this approach efficiently identifies optimal formulations from thousands of possibilities and decouples elasticity and viscosity. The resulting hydrogels offer tunable
Zhengkun Chen, Zheyuan Miao, Gary Tom, Austin H. Cheng, Elizaveta Gusarova, Benjamen Zondag, Tianyi Wu, Dianoosh Kalhori, Boris Hinz, Milad Abolhasani, Alán Aspuru‐Guzik, Eugenia Kumacheva   +11 more
wiley   +1 more source

Language counts: Early language mediates the relationship between parent education and children\u27s math ability [PDF]

, 2018
Children\u27s early math skills have been hailed as a powerful predictor of academic success. Disparities in socioeconomic context, however, also have dramatic consequences on children\u27s learning.
Ribner, Andrew, Shusterman, Anna, Slusser, Emily   +2 more
core   +1 more source

Dual‐Peptide Nanoplatform: Mesoporous Silica Nanoparticles Functionalized With a Cell‐Penetrating Peptide and Loaded With Rationally Designed Antimicrobial Peptides for Tuberculosis Therapy

Advanced Healthcare Materials, EarlyView.
Machine learning–guided engineering of a plectasin‐derived peptide yields DC05, a potent antimycobacterial candidate. Encapsulation into tuftsin‐functionalized mesoporous silica nanoparticles enhances intracellular delivery, stability, and activity against Mycobacterium tuberculosis while maintaining low cytotoxicity and minimal hemolysis. The combined
Christian S. Carnero Canales, Cesar Augusto Roque‐Borda, Ana Carolina Cerqueira Negri, Oswaldo Ramirez Delgado, Letícia Oliveira Catarin Nunes, Flávia Aparecida Resende, Hernane Barud, Norival Alves Santos‐Filho, Saulo Santesso Garrido, Karen Cristina Oliveira, Alexandra Ivo de Medeiros, Rafael Miguel Sábio, Fernando Rogério Pavan   +12 more
wiley   +1 more source

Interpretable physics-based models compared with symbolic regression for hopping transport in organic field-effect transistors [PDF]

, 2021
Madhavkrishnan Lakshminarayanan, Rajdeep Dutta, D. V. Maheswar Repaka, J. Senthilnath, Wei Lin Leong, Kedar Hippalgaonkar   +5 more
openalex   +1 more source

Enhanced Human Antigen‐Specific B Cell Responses Using In Vitro 3D Tonsil Cultures Containing Stromal Cells

Advanced Healthcare Materials, EarlyView.
We developed a fully human 3D tonsil cell culture system incorporating supportive stromal cells that better sustains and activates immune cells than conventional methods. The model generates stronger, more targeted antibody responses to viral antigens and vaccines, providing a physiologically relevant and entirely human platform for studying immune ...
Maaike V. J. Braham, Marlon de Gast, Liubov Babii, Sabine Kruijer, Theo M. Bestebroer, Mathilde Richard, Mathieu Claireaux, S. Marieke van Ham, Jelle de Wit, Cécile A. C. M. van Els, Anja ten Brinke, Marit J. van Gils   +11 more
wiley   +1 more source

Inferring interpretable models of fragmentation functions using symbolic regression

Machine Learning: Science and Technology
Machine learning is rapidly making its path into the natural sciences, including high-energy physics. We present the first study that infers, directly from experimental data, a functional form of fragmentation functions.
Nour Makke, Sanjay Chawla
doaj   +1 more source

SPINEX_ Symbolic Regression: Similarity-based Symbolic Regression with Explainable Neighbors Exploration

This article introduces a new symbolic regression algorithm based on the SPINEX (Similarity-based Predictions with Explainable Neighbors Exploration) family. This new algorithm (SPINEX_SymbolicRegression) adopts a similarity-based approach to identifying high-merit expressions that satisfy accuracy- and structural similarity metrics.
Naser, MZ, Naser, Ahmed Z
openaire   +2 more sources

Deep Generative Symbolic Regression

, 2023
Comment: In the proceedings of the Eleventh International Conference on Learning Representations (ICLR 2023).
Holt, Samuel, Qian, Zhaozhi, van der Schaar, Mihaela   +2 more
openaire   +1 more source

3D Soft Hydrogels Induce Human Mesenchymal Stem Cells “Deep” Quiescence

Advanced Healthcare Materials, EarlyView.
Three‐dimensional soft hydrogels mimicking the bone marrow niche induce deep quiescence in human mesenchymal stem cells. Unlike 2D culture, 3D matrices halt proliferation, regulate cell‐cycle and quiescence markers, and downregulate mTORC1 signaling, preserving stem cell phenotype and therapeutic potential ex vivo.
David Boaventura Gomes, Timo Rademakers, Ana Filipa Henriques Lourenço, Andrea Calore, Clarissa Tomasina, Denis van Beurden, Jinjie Venema, Bryan Chömpff, Hong Liu, Nicole Bouvy, Sandra Camarero‐Espinosa, Lorenzo Moroni   +11 more
wiley   +1 more source