Results 221 to 230 of about 427,529 (281)

Neural variability in the medial prefrontal cortex contributes to efficient adaptive behavior. [PDF]

Nat Commun
Findling C, Romand-Monnier M, Skvortsova V, Koechlin E.   +3 more
europepmc   +1 more source

Disentangling Aleatoric and Epistemic Uncertainty in Physics‐Informed Neural Networks: Application to Insulation Material Degradation Prognostics

Advanced Intelligent Systems, EarlyView.
Physics‐Informed Neural Networks (PINNs) provide a framework for integrating physical laws with data. However, their application to Prognostics and Health Management (PHM) remains constrained by the limited uncertainty quantification (UQ) capabilities.
Ibai Ramirez, Jokin Alcibar, Joel Pino, Mikel Sanz, Jose I. Aizpurua   +4 more
wiley   +1 more source

Temporal dynamics of the fecal microbiome in wintering seagulls: a One Health perspective. [PDF]

BMC Genomics
Wang M, Qu Y, Ma X, Fan Y, Zhang C, Li J, Liu X, Wang Z, Li J, Wang Y, Zhang T, Chu D, Liu J, Li Y.   +13 more
europepmc   +1 more source

Stable Neural Signal Recording Processed by Memristor‐Based Reservoir Computing System

Advanced Intelligent Systems, EarlyView.
This work introduces a memristor‐based reservoir computing (RC) system for real‐time, energy‐efficient processing of neural signals in brain‐machine interface (BMI). Combined with flexible mesh neural probes with tissue‐like flexibility and subcellular‐scale features that enable consistent, long‐term tracking of single‐cell neural activities, the ...
Soohyeon Kim, Yuting Wu, Finn Moore, Mingtao Hu, Xiaoyu Zhang, Sangmin Yoo, Eric Yeu‐Jer Lee, Hao Shen, Yichun He, Jia Liu, Wei D. Lu   +10 more
wiley   +1 more source

Stochastic Gates for Covariate Selection in Population Pharmacokinetics Modeling. [PDF]

CPT Pharmacometrics Syst Pharmacol
Kekic M, Stepanov O, Wang W, Richardson S, Olabode D, Traynor C, Dearden R, Zhou D, Tang W, Gibbs M, Nowojewski A.   +10 more
europepmc   +1 more source

Generalized Task‐Driven Design of Soft Robots via Reduced‐Order Finite Element Method‐Based Surrogate Modeling

Advanced Intelligent Systems, EarlyView.
A unified, reusable modeling pipeline enables task‐driven design of soft robots across actuator families and task scenarios. High‐fidelity simulations are compressed into compact pseudo‐rigid‐body joint surrogates, while a design‐conditioned meta‐model generates new surrogates from geometry parameters without rerunning finite element method.
Yao Yao, David Howard, Perla Maiolino
wiley   +1 more source

physically interpretable residual strength prediction of corroded pipelines via symbolic Bayesian networks. [PDF]

Sci Rep
Chen M, Zhang Y, Ye Y, Lu Y.
europepmc   +1 more source

Manifold limits on seed production by individual flowering plants

American Journal of Botany, EarlyView.
Abstract Premise Historically, angiosperm seed production has been considered to be either pollen or resource limited. However, seed production involves more than pollen and seed resources and typically involves multiple ovules in multiple flowers. Therefore, various constraints may act simultaneously. Methods Proportional components of seed production
Lawrence D. Harder, Nathaniel J. Hamnett‐Mount   +1 more
wiley   +1 more source

Risk prediction modelling of 30-day all-cause mortality following percutaneous coronary intervention in an Australian population: leveraging machine learning. [PDF]

Open Heart
Chowdhury MRK, Dinh DT, Brennan A, Reid CM, Nanayakkara S, Lefkovits J, Chew DP, Karim MN, Moni MA, Islam MS, Billah B, Stub D.   +11 more
europepmc   +1 more source

Integrating biological and machine learning models for rainbow trout growth: Balancing accuracy and interpretability. [PDF]

PLoS One
Fulton L, Lyu P.
europepmc   +1 more source