Results 101 to 110 of about 62,388 (221)
On the minimal Sums of sequences in the tensor product of separable Hilbert spaces [PDF]
, 2022 Abdelkrim Bourouihiya, Samir Kabbaj
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Advanced Science, Volume 13, Issue 1, 5 January 2026.This study reconstructs the driving force field of fibroblast‐to‐neuron transdifferentiation from sparse single‐cell images by decomposing it into flux and time‐dependent potential gradient, extending the landscape‐flux framework to non‐steady‐state systems.
Chudan Yu +3 more
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Alzheimer's &Dementia, Volume 22, Issue 1, January 2026.Abstract INTRODUCTION White matter hyperintensities (WMHs) are strongly associated with cognitive decline and dementia, but whether asymptomatic individuals with moderate‐to‐severe WMHs (msWMHs) are truly cognitively intact, particularly in visual short‐term memory (VSTM), remains unclear.
Aonan Li +7 more
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Coordinate‐ and Spacetime‐Independent Quantum Physics
Annalen der Physik, Volume 538, Issue 1, January 2026.This article studies in the framework of quantum field theory in curved spacetime, if there exists a single zero‐rank‐tensor solution of a Klein‐Gordon PDE, being valid at once for the depicted spacetimes. The answer is shown to be affirmative, even for a class of such solutions having the standard applications in particle physics. ABSTRACT The concept
Viacheslav A. Emelyanov, Daniel Robertz
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Annalen der Physik, Volume 538, Issue 1, January 2026.The BRST invariant Lagrangian of the gravitationally interacting U(1)$U(1)$ gauge theory, namely the Quantum GraviElectro Dynamics (QGED). The Yan–Mills theory with the Hilbert–Einstein gravitational Lagrangian, namely the Yang–Mills–Utiyama (YMU) theory, is defined and quantised using the standard procedure. The theory is perturbatively renormalisable,
Yoshimasa Kurihara
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IET Control Theory &Applications, Volume 20, Issue 1, January/December 2026.This study presents a novel deep learning‐based fault classification framework utilising Variational Mode Decomposition (VMD) for adaptive feature extraction and a Multi‐branch Convolutional Neural Network (M1D‐CNN) architecture for classification. The VMD hyperparameters were optimised based on kurtosis to ensure the extraction of the most informative
Seyyid Ahmed Djellouli +4 more
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The GJMS operators in geometry, analysis and physics
Journal of the London Mathematical Society, Volume 113, Issue 1, January 2026.Abstract The GJMS operators, introduced by Graham, Jenne, Mason and Sparling, are a family of conformally invariant linear differential operators with leading term a power of the Laplacian. These operators and their method of construction have had a major impact in geometry, analysis and physics.
Jeffrey S. Case, A. Rod Gover
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Interpreting convolutional neural networks' low-dimensional approximation to quantum spin systems
Physical Review ResearchConvolutional neural networks (CNNs) have been employed along with variational Monte Carlo methods for finding the ground state of quantum many-body spin systems with great success.
Yilong Ju +5 more
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International Journal for Numerical Methods in Engineering, Volume 126, Issue 24, 30 December 2025.ABSTRACT This study presents a new optimized block hybrid method and spectral simple iteration method (OBHM‐SSIM) for solving nonlinear evolution equations. In this method, we employed a combination of the spectral collocation method in space and the optimized block hybrid method in time, along with a simple iteration scheme to linearize the equations.
Salma Ahmedai +4 more
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Temporal Wormholes From Temporal Quantum Correlations
Advances in High Energy PhysicsRecent developments in quantum theory suggest a unified treatment of space and time, where spatial and temporal correlations can be regarded as equivalent.
Ovidiu Racorean
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