Tootfinder

Evaluation of Machine Learning Reconstruction Techniques for Accelerated Brain MRI Scans
Jonathan I. Mandel, Shivaprakash Hiremath, Hedyeh Keshtgar, Timothy Scholl, Sadegh Raeisi
https://arxiv.org/abs/2509.07193

Evaluation of Machine Learning Reconstruction Techniques for Accelerated Brain MRI Scans
This retrospective-prospective study evaluated whether a deep learning-based MRI reconstruction algorithm can preserve diagnostic quality in brain MRI scans accelerated up to fourfold, using both public and prospective clinical data. The study included 18 healthy volunteers (scans acquired at 3T, January 2024-March 2025), as well as selected fastMRI public datasets with diverse pathologies. Phase-encoding-undersampled 2D/3D T1, T2, and FLAIR sequences were reconstructed with DeepFoqus-Accelerat…

Misiurewicz points and subhyperbolicity in unicritical algebraic correspondences
Carlos Siqueira
https://arxiv.org/abs/2509.05682 https://arxiv.org/pdf/250…

Misiurewicz points and subhyperbolicity in unicritical algebraic correspondences
We provide the first definition of \emph{Misiurewicz parameter} for the unicritical family of algebraic correspondences \( z^r + c \), with \( r > 1 \) rational, and prove that, at every Misiurewicz parameter, the correspondence uniformly expands the canonical orbifold metric on a neighborhood of the Julia set. This is achieved using Thurston's ideas on postcritically finite rational maps, regular branched coverings, and orbifolds, viewing the correspondence as a global analytic multifunction. …

SafeProtein: Red-Teaming Framework and Benchmark for Protein Foundation Models
Jigang Fan, Zhenghong Zhou, Ruofan Jin, Le Cong, Mengdi Wang, Zaixi Zhang
https://arxiv.org/abs/2509.03487

SafeProtein: Red-Teaming Framework and Benchmark for Protein Foundation Models
Proteins play crucial roles in almost all biological processes. The advancement of deep learning has greatly accelerated the development of protein foundation models, leading to significant successes in protein understanding and design. However, the lack of systematic red-teaming for these models has raised serious concerns about their potential misuse, such as generating proteins with biological safety risks. This paper introduces SafeProtein, the first red-teaming framework designed for prote…

End-to-end quantum algorithms for tensor problems
Enrico Fontana, Sivaprasad Omanakuttan, Junhyung Lyle Kim, Joseph Sullivan, Michael Perlin, Ruslan Shaydulin, Shouvanik Chakrabarti
https://arxiv.org/abs/2510.07273

End-to-end quantum algorithms for tensor problems
We present a comprehensive end-to-end quantum algorithm for tensor problems, including tensor PCA and planted kXOR, that achieves potential superquadratic quantum speedups over classical methods. We build upon prior works by Hastings~(\textit{Quantum}, 2020) and Schmidhuber~\textit{et al.}~(\textit{Phys.~Rev.~X.}, 2025), we address key limitations by introducing a native qubit-based encoding for the Kikuchi method, enabling explicit quantum circuit constructions and non-asymptotic resource esti…

Accurate and Noise-Robust Wavefront Reconstruction with an Optical Vortex Wavefront Sensor
Magdalena {\L}ukowicz, Aleksandra Korzeniewska, Kamil Kalinowski, Rafa{\l} Cichowski, Rosario Porras-Aguilar, Mateusz Szatkowski
https://arxiv.org/abs/2510.07998

Accurate and Noise-Robust Wavefront Reconstruction with an Optical Vortex Wavefront Sensor
The term wavefront sensor refers to the entire class of devices capable of measuring the optical wavefront of the incoming beam. Although numerous solutions have been proposed so far, recent advances in structured light have opened new development possibilities through controlled modification of optical field amplitude and phase. We present an alternative approach to angle-based sensing, introducing optical vortices stable phase singularities within each subaperture of the Shack-Hartmann (S-H) …

Replaced article(s) found for q-bio.BM. https://arxiv.org/list/q-bio.BM/new
[1/1]:
- SafeProtein: Red-Teaming Framework and Benchmark for Protein Foundation Models
Jigang Fan, Zhenghong Zhou, Ruofan Jin, Le Cong, Mengdi Wang, Zaixi Zhang

Authentication Security of PRF GNSS Ranging
Jason Anderson
https://arxiv.org/abs/2510.02196 https://arxiv.org/pdf/2510.02196…

Authentication Security of PRF GNSS Ranging
This work derives the authentication security of pseudorandom function (PRF) GNSS ranging under multiple GNSS spoofing models, including the Security Code Estimation and Replay (SCER) spoofer. When GNSS ranging codes derive from a PRF utilizing a secret known only to the broadcaster, the spoofer cannot predict the ranging code before broadcast. Therefore, PRF ranging can be used to establish trust in the GNSS pseudoranges and the resulting receiver position, navigation, and timing (PNT) solutio…

On the Modular Chromatic Index of Random Hypergraphs
Gaia Carenini, Samuel Coulomb
https://arxiv.org/abs/2510.04334 https://arxiv.org/pdf/2510.04334…

On the Modular Chromatic Index of Random Hypergraphs
Let $k,r \geq 2$ be two integers. We consider the problem of partitioning the hyperedge set of an $r$-uniform hypergraph $H$ into the minimum number $χ_k'(H)$ of edge-disjoint subhypergraphs in which every vertex has either degree $0$ or degree congruent to $1$ modulo $k$. For a random hypergraph $H$ drawn from the binomial model $\mathbf{H}(n,p,r)$, with edge probability $p \in (C\log(n)/n,1)$ for a large enough constant $C>0$ independent of $n$ and satisfying $n^{r-1}p(1-p)\to\infty$ as $n\t…

🇺🇦 Auf radioeins läuft...
Belau feat. Sophie Barker:
🎵 Essence
#NowPlaying #Belau #SophieBarker
https://belau.bandcamp.com/track/essence-ft-sophie-barker
https://open.spotify.com/track/22x296djf1thxQmxJtZidM

🫨 Silent deep bass: Wearable audio you can feel
#audio

Silent deep bass: Wearable audio you can feel
Researchers at University of Tsukuba have developed a portable, silent subwoofer that combines electrical muscle stimulation with low-frequency vibrations. This device enables users to physically feel deep bass in virtual reality (VR) and everyday music. While minimizing noise, it provides an immersive experience and rhythm perception comparable to conventional speakers, opening new possibilities for audio experiences.