Results 51 to 60 of about 22,566 (155)
Earthquake Spectra, Volume 42, Issue 2, May 2026.As seismic design paradigms shift toward functional recovery, there is a need for efficient methods to achieve desired decision variables (DVs), such as probability of replacement, repair cost, and downtime of the building, for seismically isolated buildings.
Huy G. Pham, Tracy C. Becker
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Isoperimetric inequalities on slabs with applications to cubes and Gaussian slabs
Communications on Pure and Applied Mathematics, Volume 79, Issue 4, Page 1012-1072, April 2026.Abstract We study isoperimetric inequalities on “slabs”, namely weighted Riemannian manifolds obtained as the product of the uniform measure on a finite length interval with a codimension‐one base. As our two main applications, we consider the case when the base is the flat torus R2/2Z2$\mathbb {R}^2 / 2 \mathbb {Z}^2$ and the standard Gaussian measure
Emanuel Milman
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Seismic Design of Concrete Dams: An Integrated Risk‐Informed Performance‐Based (RIPB) Framework
Earthquake Engineering &Structural Dynamics, Volume 55, Issue 5, Page 1019-1049, 25 April 2026.ABSTRACT This paper advances the integration of risk‐informed principles into the seismic design of dams—a domain long guided by standards‐based, largely deterministic approaches. While performance‐based earthquake engineering is well established for buildings and bridges, its systematic adoption in dam engineering remains limited. We first address two
M. Amin Hariri‐Ardebili, Larry K. Nuss
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Fuel Cells, Volume 26, Issue 2, April 2026.ABSTRACT Prognostics and health management are crucial for the reliability and lifetime assessment of polymer electrolyte fuel cells (PEFCs). Here, we review the current advances on this topic, focusing mainly on key degradation mechanisms and methodologies such as physics‐aware, data‐driven, and hybrid modeling approaches.
Farideh Abdollahi +5 more
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GloMarGridding: A Python Toolkit for Flexible Spatial Interpolation in Climate Applications
Geoscience Data Journal, Volume 13, Issue 2, April 2026.Global surface climate datasets contain structural uncertainty that is difficult to attribute to individual processing steps. We present GloMarGridding, a Python package that isolates the spatial interpolation component using Gaussian Process Regression (or kriging) to generate spatially complete fields and uncertainty estimates. The techniques used in
Richard C. Cornes +6 more
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Multiomics Research Strategies in Cancer: A Growing and Innovative Field
MedComm, Volume 7, Issue 4, April 2026.This review highlights multiomics strategies in cancer research, focusing on integration methods from genomics to microbiomics. Using colorectal cancer as a key example, it discusses biomarker discovery, data integration via deep learning, and the roles of single‐cell and spatial omics.
Zhenhua Du +8 more
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Coil Sketching for Fast and Efficient 4D Lung MRI Reconstruction
Magnetic Resonance in Medicine, Volume 95, Issue 4, Page 2241-2253, April 2026.ABSTRACT Purpose To develop and evaluate a memory‐efficient and accelerated reconstruction framework for respiratory‐resolved 4D lung MRI using coil sketching and Toeplitz approximation, enabling high‐quality motion‐compensated low‐rank (MoCo‐LR) reconstructions on clinically accessible GPU hardware.
Joseph W. Plummer +7 more
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International Journal for Numerical Methods in Engineering, Volume 127, Issue 6, 30 March 2026.ABSTRACT The contribution deals with algebraic multigrid (AMG) based preconditioning methods for the iterative solution of a coupled linear system of equations arising in numerical simulations of failure of quasi‐brittle materials using generalized continuum approaches.
Nasser Alkmim +4 more
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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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Integrative Approaches for DNA Sequence‐Controlled Functional Materials
Advanced Functional Materials, Volume 36, Issue 18, 2 March 2026.DNA is emerging as a programmable building block for functional materials with applications in biomimicry, biochemical, and mechanical information processing. The integration of simulations, experiments, and machine learning is explored as a means to bridge DNA sequences with macroscopic material properties, highlighting current advances and providing ...
Aaron Gadzekpo +4 more
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