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We present a simple, new method for the 1-loop renormalization of integrable $\sigma$-models. By treating equations of motion and Bianchi identities on an equal footing, we derive 'universal' formulae for the 1-loop on-shell divergences,…

High Energy Physics - Theory · Physics 2023-03-22 Nat Levine

Sigma models describing low energy effective actions on D0-brane probes with N=8 supercharges are studied in detail using a manifestly d=1, N=4 super-space formalism. Two 0+1 dimensional N=4 multiplets together with their general actions…

High Energy Physics - Theory · Physics 2016-08-25 Duiliu-Emanuel Diaconescu , Rami Entin

Electroencephalography (EEG) has enjoyed considerable attention over the past century and has been applied for diagnosis of epilepsy, stroke, traumatic brain injury and other disorders where 3D localization of electrical activity in the…

Medical Physics · Physics 2014-07-31 Sajib Saha , Yakov I. Nesterets , Murat Tahtali , Timur E. Gureyev

This paper deals with the EEG/MEG neuroimaging problem: given measurements of scalp electric potential differences (EEG: electroencephalogram) and extracranial magnetic fields (MEG: magnetoencephalogram), find the 3D distribution of the…

Mathematical Physics · Physics 2007-10-18 Roberto D. Pascual-Marqui

We demonstrate an experimental method to separately test the optical response of a single sub-wavelength nano-structure to tailored electric and magnetic field distributions in the optical domain. For this purpose a highly focused…

Optics · Physics 2015-05-18 P. Banzer , U. Peschel , S. Quabis , G. Leuchs

The problem of reconstructing brain activity from electric potential measurements performed on the surface of a human head is not an easy task: not just because the solution of the related inverse problem is fundamentally ill-posed (not…

Numerical Analysis · Mathematics 2023-08-11 Santtu Söderholm , Joonas Lahtinen , Carsten H. Wolters , Sampsa Pursiainen

Diffusion transformers (DiTs) have emerged as a dominant architecture for text-to-image generation, yet their performance drops when generating at resolutions beyond their training range. Existing training-free approaches mitigate this by…

Computer Vision and Pattern Recognition · Computer Science 2026-05-22 Javad Rajabi , Kimia Shaban , Koorosh Roohi , David B. Lindell , Babak Taati

Monitoring biodiversity is paramount to manage and protect natural resources. Collecting images of organisms over large temporal or spatial scales is a promising practice to monitor the biodiversity of natural ecosystems, providing large…

Computer Vision and Pattern Recognition · Computer Science 2023-02-07 S. Kyathanahally , T. Hardeman , M. Reyes , E. Merz , T. Bulas , P. Brun , F. Pomati , M. Baity-Jesi

The successful deployment of deep learning-based acoustic echo and noise reduction (AENR) methods in consumer devices has spurred interest in developing low-complexity solutions, while emphasizing the need for robust performance in…

Audio and Speech Processing · Electrical Eng. & Systems 2025-08-05 Shrishti Saha Shetu , Naveen Kumar Desiraju , Wolfgang Mack , Emanuël A. P. Habets

In this paper, we develop various beamforming techniques for downlink transmission for multiple-input single-output (MISO) non-orthogonal multiple access (NOMA) systems. First, a beamforming approach with perfect channel state information…

Information Theory · Computer Science 2018-07-10 Faezeh Alavi , Kanapathippillai Cumanan , Zhiguo Ding , Alister G. Burr

This paper investigates the application of simultaneous wireless information and power transfer (SWIPT) to cooperative non-orthogonal multiple access (NOMA). A new cooperative multiple-input single-output (MISO) SWIPT NOMA protocol is…

Information Theory · Computer Science 2017-08-02 Yanqing Xu , Chao Shen , Zhiguo Ding , Xiaofang Sun , Shi Yan , Gang Zhu , Zhangdui Zhong

This study introduces a new unified structural framework for orbifold sigma models that incorporates twisted sectors, singularities, and smooth regions into a single algebraic object. Traditional approaches to orbifold theories often treat…

Mathematical Physics · Physics 2025-11-20 Francesco D'Agostino

The analogy between mechanical and electromagnetic resonators has been a celebrated paradigm of science and engineering. Exploration of this analogy in recent years has resulted in several exciting research directions, including cavity…

Mesoscale and Nanoscale Physics · Physics 2017-02-21 Mehmet Kelleci , Hande Aydogmus , Levent Aslanbas , Selcuk Oguz Erbil , M. Selim Hanay

Nanoantennas for highly efficient excitation and manipulation of surface waves at nanoscale are key elements of compact photonic circuits. However, previously implemented designs employ plasmonic nanoantennas with high Ohmic losses,…

Single-shot imaging with femtosecond X-ray lasers is a powerful measurement technique that can achieve both high spatial and temporal resolution. However, its accuracy has been severely limited by the difficulty of applying conventional…

This paper presents a novel approach for denoising binary images using simulated annealing (SA), a global optimization technique that addresses the inherent challenges of non convex energy functions. Binary images are often corrupted by…

Computer Vision and Pattern Recognition · Computer Science 2025-02-13 Milind Cherukuri

We introduce Smale-Vietoris diffeomorphisms that include the classical DE-mappings with Smale solenoids. We describe the correspondence between basic sets of axiom A Smale-Vietoris diffeomorphisms and basic sets of nonsingular axiom A…

Dynamical Systems · Mathematics 2016-02-22 N. Isaenkova , E. Zhuzhoma

Surface normal holds significant importance in visual environmental perception, serving as a source of rich geometric information. However, the state-of-the-art (SoTA) surface normal estimators (SNEs) generally suffer from an unsatisfactory…

Computer Vision and Pattern Recognition · Computer Science 2023-04-25 Yi Feng , Bohuan Xue , Ming Liu , Qijun Chen , Rui Fan

Single particle imaging (SPI) at X-ray free electron lasers (XFELs) is particularly well suited to determine the 3D structure of particles in their native environment. For a successful reconstruction, diffraction patterns originating from a…

Data Analysis, Statistics and Probability · Physics 2021-12-17 Dameli Assalauova , Alexandr Ignatenko , Fabian Isensee , Sergey Bobkov , Darya Trofimova , Ivan A. Vartanyants

Cryo-electron microscopy (cryo-EM) has achieved near-atomic level resolution of biomolecules by reconstructing 2D micrographs. However, the resolution and accuracy of the reconstructed particles are significantly reduced due to the…

Computer Vision and Pattern Recognition · Computer Science 2024-01-03 Jing Zhang , Tengfei Zhao , ShiYu Hu , Xin Zhao
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