Supervised learning of protein variant effects across large‐scale mutagenesis datasets
Protein Science, Volume 35, Issue 4, April 2026.Abstract The increasing availability of data from multiplexed assays of variant effects (MAVEs) enables supervised model training against large quantities of experimental data to learn sequence‐function relationships. Variant effect scores from MAVEs can, however, be influenced by the experimental method and library composition, resulting in experiment‐
Thea K. Schulze +3 more
wiley +1 more source
The interplay of serum cations, insulin resistance, and atherogenic indices in predicting depression in hypothyroid patients. [PDF]
Biotechnol Rep (Amst)Al-Baldawi SQ +3 more
europepmc +1 more source
Weibull‐Neural Network Framework for Wind Turbine Lifetime Monitoring and Disturbance Identification
Wind Energy, Volume 29, Issue 4, April 2026.ABSTRACT Wind turbines are vital for sustainable energy, yet their reliability under diverse operational and environmental conditions remains a challenge, often leading to costly failures. This study presents a novel Weibull‐Neural Network Framework to enhance wind turbine lifetime monitoring by estimating reliability (R(t)) and mean residual life (MRL)
Fatemeh Kiadaliry +2 more
wiley +1 more source
A Field Verification Denoising Method for Partial Discharge Ultrasonic Sensors Based on IPSO-Optimated Multivariate Variational Mode Decomposition Combined with Improved Wavelet Transforms. [PDF]
Sensors (Basel)Cao T +8 more
europepmc +1 more source
Expert Systems, Volume 43, Issue 4, April 2026.ABSTRACT The growing reliance on fossil fuels for energy generation has raised concerns about their significant contribution to global warming and the associated risks of supply instability. Anaerobic Digestion (AD) within Wastewater Treatment Plants (WWTPs) offers a renewable alternative by producing biogas, while effective operational optimisation ...
Pedro Oliveira +6 more
wiley +1 more source
A community public health emergency resilience assessment framework based on contrastive learning and hyperbolic embedding. [PDF]
Front Public HealthWen Q, Ismail M, Abdul Nasir MH.
europepmc +1 more source
Oxford Bulletin of Economics and Statistics, Volume 88, Issue 2, Page 213-225, April 2026.ABSTRACT We propose a multilevel econometric model with time‐varying spillover parameters that disentangle within‐country from between‐country growth spillovers. Parameter estimation is carried out by the method of maximum likelihood. The finite‐sample properties of the resulting estimates are validated through a Monte Carlo study.
F. Blasques +3 more
wiley +1 more source
Anoscrotal distance and urogenital anomalies in ART-conceived male infants: a retrospective cohort study. [PDF]
Front Reprod HealthAygün EG, Kahraman E.
europepmc +1 more source
Homogenization With Guaranteed Bounds via Primal‐Dual Physically Informed Neural Networks
International Journal for Numerical Methods in Engineering, Volume 127, Issue 6, 30 March 2026.ABSTRACT Physics‐informed neural networks (PINNs) have shown promise in solving partial differential equations (PDEs) relevant to multiscale modeling, but they often fail when applied to materials with discontinuous coefficients, such as media with piecewise constant properties. This paper introduces a dual formulation for the PINN framework to improve
Liya Gaynutdinova +3 more
wiley +1 more source
Data‐Driven Exploration of Tropical Cyclone's Controllability
Geophysical Research Letters, Volume 53, Issue 6, 28 March 2026.Abstract Although the chaotic nature of the atmosphere may enable efficient control of tropical cyclones (TCs) via small‐scale perturbations, few studies have proposed data‐driven optimization methods to identify such perturbations. Here, we apply the recently proposed Ensemble Kalman Control (EnKC) to a TC simulation.
Yohei Sawada +4 more
wiley +1 more source