Tootfinder

Personalized Detection of Stress via hdrEEG: Linking Neuro-markers to Cortisol, HRV, and Self-Report
N. B. Maimon, Ganit Baruchin, Itamar Grotto, Nathan Intrator, Talya Zeimer, Ofir Chibotero, Efrat Danino
https://arxiv.org/abs/2509.13875

Personalized Detection of Stress via hdrEEG: Linking Neuro-markers to Cortisol, HRV, and Self-Report
Chronic stress is a major risk factor for cognitive decline, neurodegenerative disease, and systemic health burden, underscoring the need for reliable individual-level biomarkers of stress reactivity. While cortisol, heart rate variability (HRV), and self-report measures are widely used, they provide limited insight into neural mechanisms. Here, we tested whether two single-channel hdrEEG biomarkers, ST4 and T2, serve as personalized indices of stress regulation by linking neural activity to va…

MoCap2GT: A High-Precision Ground Truth Estimator for SLAM Benchmarking Based on Motion Capture and IMU Fusion
Zichao Shu, Shitao Bei, Jicheng Dai, Lijun Li, Zetao Chen
https://arxiv.org/abs/2507.12920

MoCap2GT: A High-Precision Ground Truth Estimator for SLAM Benchmarking Based on Motion Capture and IMU Fusion
Marker-based optical motion capture (MoCap) systems are widely used to provide ground truth (GT) trajectories for benchmarking SLAM algorithms. However, the accuracy of MoCap-based GT trajectories is mainly affected by two factors: spatiotemporal calibration errors between the MoCap system and the device under test (DUT), and inherent MoCap jitter. Consequently, existing benchmarks focus primarily on absolute translation error, as accurate assessment of rotation and inter-frame errors remains c…

Fast and Simple Multiclass Data Segmentation: An Eigendecomposition and Projection-Free Approach
Chiara Faccio, Margherita Porcelli, Francesco Rinaldi, Martin Stoll
https://arxiv.org/abs/2508.09738

Fast and Simple Multiclass Data Segmentation: An Eigendecomposition and Projection-Free Approach
Graph-based machine learning has seen an increased interest over the last decade with many connections to other fields of applied mathematics. Learning based on partial differential equations, such as the phase-field Allen-Cahn equation, allows efficient handling of semi-supervised learning approaches on graphs. The numerical solution of the graph Allen-Cahn equation via a convexity splitting or the Merriman-Bence-Osher (MBO) scheme, albeit being a widely used approach, requires the calculation…

So you've been following the Skydance/Paramount merger. Did you know about administration's claim they were getting $20m in PSAs? Another not widely publicized story: Trump did this successfully with the Qatari jet. The United States was talking to Qatar about leasing or buying, but then Trump wished aloud that maybe it could be a gift . . . and then it was a gift. We're getting dangerously close to "Will no one rid me of this meddlesome priest?" territory.
Been d…

The Federal Communications Commission approved the $8 billion merger between Paramount and Skydance on Thursday -- after several changes at CBS that were widely seen as efforts to placate Donald Trump.
Part of the deal will require an internal monitor to check the media company’s supposed political biases.
FCC commissioner Brendan Carr has been doing the rounds to brag about how he’s getting people on TV to be nicer to the MAGA movement.
“They made commitments to address bia…

FCC to Appoint a Babysitter to Make Sure CBS Isn't Anti-Trump
FCC commissioner Brendan Carr says CBS will have a "bias monitor."

Robust Wannierization including magnetization and spin-orbit coupling via projectability disentanglement
Yuhao Jiang, Junfeng Qiao, Nataliya Paulish, Weisheng Zhao, Nicola Marzari, Giovanni Pizzi
https://arxiv.org/abs/2507.06840

Robust Wannierization including magnetization and spin-orbit coupling via projectability disentanglement
Maximally-localized Wannier functions (MLWFs) are widely employed as an essential tool for calculating the physical properties of materials due to their localized nature and computational efficiency. Projectability-disentangled Wannier functions (PDWFs) have recently emerged as a reliable and efficient approach for automatically constructing MLWFs that span both occupied and lowest unoccupied bands. Here, we extend the applicability of PDWFs to magnetic systems and/or those including spin-orbit…

The incidence of magnetism in blue and yellow straggler stars
S. Hubrig, S. P. J\"arvinen, I. Ilyin, M. Sch\"oller
https://arxiv.org/abs/2509.02304 https://

The incidence of magnetism in blue and yellow straggler stars
Our understanding of the generation of magnetic fields in intermediate-mass and massive OBA stars remains limited. Some theories have proposed that their magnetic fields could be a result of strong binary interactions, including stellar mergers. Blue stragglers, which lie well beyond the main sequence turn-off point on the colour-magnitude diagram of stellar clusters, are widely theorised to be merger products or interacting binaries and therefore can be considered excellent test targets to get…

Tracing the light: Identification for the optical counterpart candidates of binary black-holes during O3
Lei He, Zhengyan Liu, Rui Niu, Bingzhou Gao, Mingshen Zhou, Purun Zou, Runduo Liang, Wen Zhao, Ning Jiang, Zhen-Yi Cai, Zi-Gao Dai, Ye-Fei Yuan
https://arxiv.org/abs/2507.02475

Tracing the light: Identification for the optical counterpart candidates of binary black-holes during O3
The accretion disks of active galactic nuclei (AGN) are widely considered the ideal environments for binary black hole (BBH) mergers and the only plausible sites for their electromagnetic (EM) counterparts. Graham et al.(2023) identified seven AGN flares that are potentially associated with gravitational-wave (GW) events detected by the LIGO-Virgo-KAGRA (LVK) Collaboration during the third observing run. In this article, utilizing an additional three years of Zwicky Transient Facility (ZTF) pub…

Quantitative Nonlinear Optical Polarimetry with High Spatial Resolution
Albert Suceava, Sankalpa Hazra, Jadupati Nag, John Hayden, Safdar Imam, Zhiwen Liu, Abishek Iyer, Mercouri Kanatzidis, Susan Trolier-McKinstry, Jon-Paul Maria, Venkatraman Gopalan
https://arxiv.org/abs/2507.23050

Quantitative Nonlinear Optical Polarimetry with High Spatial Resolution
Nonlinear optical microscopy such as in the optical second-harmonic generation (SHG) modality has become a popular tool today for probing materials in the physical and biological sciences. While imaging and spectroscopy are widely used in the microscopy mode, nonlinear polarimetry, which can shed light on materials' symmetry and microstructure, is relatively underdeveloped. This is partly because quantitative analytical modeling of the optical SHG response for anisotropic crystals and films lar…

Non-periodic Fourier propagation algorithms for partial differential equations
Channa Hatharasinghe, Run Yan Teh, Jesse van Rhijn, Peter D. Drummond, Margaret D. Reid
https://arxiv.org/abs/2507.21757

Non-periodic Fourier propagation algorithms for partial differential equations
Spectral methods for solving partial differential equations (PDEs) and stochastic partial differential equations (SPDEs) often use Fourier or polynomial spectral expansions on either uniform and non-uniform grids. However, while very widely used, especially for slowly-varying solutions, non-uniform spatial grids can give larger spatial discretization errors if the solutions change rapidly in space. Here, we implement a Fourier method that employs fast trigonometric expansions on a uniform grid …