Mathematical Methods in the Applied Sciences, Volume 49, Issue 2, Page 521-530, 30 January 2026.ABSTRACT This paper investigates the generalized Hyers–Ulam stability of the Laplace equation subject to Neumann boundary conditions in the upper half‐space. Traditionally, Hyers–Ulam stability problems for differential equations are analyzed by examining the system's error, particularly in relation to a forcing term.
Dongseung Kang +2 more
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Feature level quantitative ultrasound and CT information fusion to predict the outcome of head & neck cancer radiotherapy treatment: Enhanced principal component analysis. [PDF]
Med PhysMoslemi A +4 more
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Numerical Analysis of a Benjamin–Bona–Mahony Type Equation in a Noncylindrical Domain
Mathematical Methods in the Applied Sciences, Volume 49, Issue 2, Page 818-834, 30 January 2026.ABSTRACT Numerical analysis and simulation for the approximate solution of a Benjamin–Bona–Mahony type equation defined in a noncylindrical domain are presented in this article. The approximate problem is defined using the linearized Crank–Nicolson Galerkin method, which results in a linear algebraic system at each time step while maintaining quadratic
Vania Cristina Machado +2 more
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Solvability of second order delta-nabla p-laplacian m-point eigenvalue problem on time scales
, 2015 Sabbavarapu Nageswara Rao
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Extracting robust single-trial somatosensory evoked potentials for non-invasive brain computer interfaces. [PDF]
J Neural EngGupta D +4 more
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Research on the Consensus Convergence Rate of Multi-Agent Systems Based on Hermitian Kirchhoff Index Measurement. [PDF]
Entropy (Basel)Deng H, Wu T.
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State‐Dependence of Polar Amplification in an Idealized GCM
Geophysical Research Letters, Volume 53, Issue 1, 16 January 2026.Abstract Polar amplification (PA) is a robust feature of contemporary climate change, but its state‐dependence across different climate conditions is poorly understood despite potential relevance to paleoclimate records and future projections. Here we examine the state‐dependence of PA across a wide range of climate states in an idealized moist general
Andrew I. L. Williams, Timothy M. Merlis
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Predicting protein-nucleic acid flexibility using persistent sheaf Laplacians.
Phys Chem Chem PhysHayes N, Merkurjev E, Wei GW.
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Large scale analysis of dataset and simulation biases in SLAM research. [PDF]
Sci RepAnjum ML +5 more
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$L^p$-spectral theory for the Laplacian on forms [PDF]
Nelia Charalambous, Zhiqin Lu
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