Results 121 to 130 of about 520,634 (314)

Bayesian neural network for plasma equilibria in the Korea Superconducting Tokamak Advanced Research [PDF]

, 2023
Semin Joung
openalex   +1 more source

A Subset of Pro‐inflammatory CXCL10+ LILRB2+ Macrophages Derives From Recipient Monocytes and Drives Renal Allograft Rejection

Advanced Science, EarlyView.
This study uncovers a recipient‐derived monocyte‐to‐macrophage trajectory that drives inflammation during kidney transplant rejection. Using over 150 000 single‐cell profiles and more than 850 biopsies, the authors identify CXCL10+ macrophages as key predictors of graft loss.
Alexis Varin, Jovanne Palvair, Lennie Messager, Jamal Bamoulid, Jasper Callemeyn, Mélanie Chaintreuil, Ludivine Dal Zuffo, Didier Ducloux, Imane Farhat, Mathieu Legendre, Laurent Martin, Florian Renosi, Xavier Roussel, Thibaut Vaulet, Maarten Naesens, Claire Tinel, Baptiste Lamarthée   +16 more
wiley   +1 more source

Probing the mechanisms underpinning recovery in post‐surgical patients with cervical radiculopathy using Bayesian networks

, 2020
Bernard X. W. Liew, Anneli Peolsson, Marco Scutari, Håkan Löfgren, Johanna Wibault, Åsa Dedering, Birgitta Öberg, Peter Zsigmond, Deborah Falla   +8 more
openalex   +2 more sources

Physics‐Embedded Neural Network: A Novel Approach to Design Polymeric Materials

Advanced Science, EarlyView.
Traditional black‐box models for polymer mechanics rely solely on data and lack physical interpretability. This work presents a physics‐embedded neural network (PENN) that integrates constitutive equations into machine learning. The approach ensures reliable stress predictions, provides interpretable parameters, and enables performance‐driven, inverse ...
Siqi Zhan, Hengheng Zhao, Haotian Wang, Zhanjie Liu, Qian Li, Weifeng Zhang, Qingsong Zhao, Liqun Zhang, Jun Liu   +8 more
wiley   +1 more source

A Statistical Mechanics Model to Decode Tissue Crosstalk During Graft Formation

Advanced Science, EarlyView.
We introduce a statistical mechanics framework to decode the genomic crosstalk governing plant grafting. By integrating evolutionary game theory with transcriptomics, we reconstruct idopNetworks (informative, dynamic, omnidirectional, and personalized networks) that map scion–rootstock interactions.
Ang Dong, Yihan Meng, Stephen Shing‐Toung Yau, Shing‐Tung Yau, Rongling Wu   +4 more
wiley   +1 more source

Exploring the interaction between competitiveness of a country and innovation using Bayesian networks

, 2017
Esma Nur Çinicioğlu, Gündüz Ulusoy, Şule Önsel Ekici, Füsun Ülengin, Burç Ülengin   +4 more
openalex   +2 more sources

Scaling Hamiltonian Monte Carlo Inference for Bayesian Neural Networks with Symmetric Splitting [PDF]

, 2020
Adam D. Cobb, Brian Jalaian
openalex   +1 more source

ML Workflows for Screening Degradation‐Relevant Properties of Forever Chemicals

Advanced Science, EarlyView.
The environmental persistence of per‐ and polyfluoroalkyl substances (PFAS) necessitates efficient remediation strategies. This study presents physics‐informed machine learning workflows that accurately predict critical degradation properties, including bond dissociation energies and polarizability.
Pranoy Ray, Andrew R. Castillo, Manoj Kolel‐Veetil, Surya R. Kalidindi   +3 more
wiley   +1 more source

Customizing Tactile Sensors via Machine Learning‐Driven Inverse Design

Advanced Science, EarlyView.
ABSTRACT Replicating the sophisticated sense of touch in artificial systems requires tactile sensors with precisely tailored properties. However, manually navigating the complex microstructure‐property relationship results in inefficient and suboptimal designs.
Baocheng Wang, Depeng Kong, Zhiao He, Jikai Liang, Yuyao Lu, Zikang Deng, Honghe Li, Mengke Wang, M. Jamal Deen, Zhiqiu Ye, Shuyao Zhou, Huayong Yang, Honghao Lyu, Jun Chen, Kaichen Xu, Geng Yang   +15 more
wiley   +1 more source

Non-smooth Bayesian learning for artificial neural networks [PDF]

, 2022
Mohamed Fakhfakh, Lotfi Chaâri, Bassem Bouaziz, Faı̈ez Gargouri   +3 more
openalex   +1 more source