A New Unit‐Lindley Mixed‐Effects Model With an Application to Electricity Access Data
Environmetrics, Volume 37, Issue 2, March 2026.ABSTRACT This paper introduces a novel unit‐Lindley mixed‐effects model (NULMM) within the generalized linear mixed model (GLMM) framework, designed for analyzing correlated response variables bounded within the unit interval. Parameter estimation was conducted via maximum likelihood, using Laplace approximation and adaptive Gaussian‐ Hermite ...
Nirajan Bam +2 more
wiley +1 more source
Mean Field Approaches to Lattice Gauge Theories: A Review. [PDF]
Entropy (Basel)Fontana P, Trombettoni A.
europepmc +1 more source
Physics‐Based Machine Learning for Modeling Cyclic Damage Evolution
PAMM, Volume 26, Issue 1, March 2026.ABSTRACT Accurate modeling of cyclic damage evolution is essential for predicting the long‐term performance and durability of engineering materials and structures. Traditional simulation‐based approaches, while physically rigorous, are computationally expensive, especially under complex loading histories.
Elsayed S. Elsayed +2 more
wiley +1 more source
The benefits of exploring a large scenario space for future energy systems. [PDF]
Nat CommunFrey UJ +4 more
europepmc +1 more source
Methods Based on Polynomial Chaos for Quadratic Delay Differential Equations With Random Parameters
PAMM, Volume 26, Issue 1, March 2026.ABSTRACT We consider systems of delay differential equations (DDEs), including a single delay and a quadratic right‐hand side. In a system, parameters are replaced by random variables to perform an uncertainty quantification. Thus the solution of the DDEs becomes a random process, which can be represented by a series of the generalised polynomial chaos.
Roland Pulch
wiley +1 more source
Journal of Field Robotics, Volume 43, Issue 2, Page 847-878, March 2026.ABSTRACT This paper presents the development and validation of a scalable platooning system based on the predecessor‐following (PF) topology, designed for low‐cost follower platforms. It integrates key technologies such as localization, path planning, profile generation, and low‐level control to create a practical solution.
Dongwoo Seo, Jinhee Lee, Jaeyoung Kang
wiley +1 more source
Prediction of crack repair percentage in self-healing concrete using machine learning. [PDF]
Sci RepKhosravi H +3 more
europepmc +1 more source
A Generalization Error Bound of Physics‐Informed Neural Networks for Ecological Diffusion Models
Stat, Volume 15, Issue 1, March 2026.ABSTRACT Ecological diffusion equations (EDEs) are partial differential equations (PDEs) that model spatiotemporal dynamics, often applied to wildlife diseases. Derived from ecological mechanisms, EDEs are useful for forecasting, inference, and decision‐making, such as guiding surveillance strategies for wildlife diseases.
Juan Francisco Mandujano Reyes +4 more
wiley +1 more source
Conserved energy-momentum tensor for real-time lattice simulations. [PDF]
Eur Phys J C Part FieldsBoguslavski K +3 more
europepmc +1 more source
Hybrid kernels integrating genomic and multispectral data improve wheat genomic prediction accuracy
The Plant Genome, Volume 19, Issue 1, March 2026.Abstract Genomic selection (GS) is transforming plant breeding by enabling more accurate and efficient identification of superior genotypes. However, its practical implementation remains challenging, as achieving high prediction accuracy is critical for its success. Several factors—including sample size, the degree of relatedness among individuals, and
Osval A. Montesinos‐López +8 more
wiley +1 more source