Results 41 to 50 of about 2,966 (121)
Quality and Reliability Engineering International, Volume 42, Issue 3, Page 992-1008, April 2026.ABSTRACT The analysis of a system that deteriorates under imperfect maintenance is essential in reliability engineering. Imperfect maintenance does not fully restore a system to its original condition, leading to complex degradation patterns. Statistical inference techniques allow for precise estimation of degradation parameters, maintenance effects ...
Reza Ahmadi, Mitra Fouladirad
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Accelerating Conjugate Gradient Solvers for Homogenization Problems With Unitary Neural Operators
International Journal for Numerical Methods in Engineering, Volume 127, Issue 5, 15 March 2026.ABSTRACT Rapid and reliable solvers for parametric partial differential equations (PDEs) are needed in many scientific and engineering disciplines. For example, there is a growing demand for composites and architected materials with heterogeneous microstructures.
Julius Herb, Felix Fritzen
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Breaking Barriers in High‐Order Spectral Methods: The Intrinsic Matrix Approach
International Journal for Numerical Methods in Engineering, Volume 127, Issue 5, 15 March 2026.ABSTRACT This paper introduces a unified framework in Hilbert spaces for applying high‐order differential operators in bounded domains using Chebyshev, Legendre, and Fourier spectral methods. By exploiting the banded structure of differentiation matrices and embedding boundary conditions directly into the operator through a scaling law relating ...
Osvaldo Guimarães, José R. C. Piqueira
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International Journal of Adaptive Control and Signal Processing, Volume 40, Issue 3, Page 544-564, March 2026.This paper proposes two projector‐based Hopfield neural network (HNN) estimators for online, constrained parameter estimation under time‐varying data, additive disturbances, and slowly drifting physical parameters. The first is a constraint‐aware HNN that enforces linear equalities and inequalities (via slack neurons) and continuously tracks the ...
Miguel Pedro Silva
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Engineering Reports, Volume 8, Issue 3, March 2026.Agricultural intensification and the increasing use of fertilizers and irrigation have significantly improved crop productivity but have also led to growing concerns over groundwater contamination and inefficient water usage. When solutes like nitrates and pesticides seep past the root zone, they not only deplete soil fertility but also endanger the ...
Wubale Demis Alamirew, Ephrem Yetbarek
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Journal of Foot and Ankle Research, Volume 19, Issue 1, March 2026.ABSTRACT Introduction Foot progression angle affects gait and lowerlimb alignment. Altered angles may increase knee and ankle loading and produce tissue loading patterns previously linked to musculoskeletal injury. This study investigates how different foot progression angles modify knee and ankle biomechanics in young adults with flexible flatfoot ...
Linxiao Shen +11 more
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Learning Covariate Relations in Disease Progression Models Using Symbolic Neural Networks
CPT: Pharmacometrics &Systems Pharmacology, Volume 15, Issue 3, March 2026.ABSTRACT Covariate modeling provides individual predictions of outcomes by disease progression models. Current methodology for mapping covariates onto model parameters is limited by predefined parametric functions which can result in inadequate covariate selection and biased predictions by the final model. Furthermore, present methodology scales poorly
Jesper Sundell +4 more
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Meta‐Analysis of Cost‐Effectiveness
Statistics in Medicine, Volume 45, Issue 6-7, March 2026.ABSTRACT Systematic review and meta‐analysis are widely accepted approaches for evaluating treatment effectiveness. Meta‐analysis generally addresses statistical aspects of systematic reviews, such as the pooling of treatment effect sizes, assessment of heterogeneity, and statistical inference.
Heejung Bang, Hongwei Zhao
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The Climate Modeling Alliance Atmosphere Dynamical Core: Concepts, Numerics, and Scaling
Journal of Advances in Modeling Earth Systems, Volume 18, Issue 3, March 2026.Abstract This paper presents the dynamical core of the Climate Modeling Alliance (CliMA) atmosphere model, designed for efficient simulation of a wide range of atmospheric flows across scales. The core uses the nonhydrostatic equations of motion for a deep atmosphere, discretized with a hybrid approach that combines a spectral element method (SEM) in ...
Dennis Yatunin +18 more
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Do temporary changes in earnings caused by mean reversion affect firms’ refinancing decisions?
Journal of Financial Research, Volume 49, Issue 1, Page 228-252, Spring 2026.Abstract We develop a dynamic two‐stage trade‐off model with refinancing when earnings are mean reverting. Our model predicts a negative relation between profitability and leverage at refinancing due to conservative debt increases. With multiple rounds of refinancing, the leverage–profitability relation may turn positive when firms have substantial ...
Elettra Agliardi +3 more
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