Tootfinder

Adaptive Attention Residual U-Net for curvilinear structure segmentation in fluorescence microscopy and biomedical images
Achraf Ait Laydi, Louis Cueff, Mewen Crespo, Yousef El Mourabit, H\'el\`ene Bouvrais
https://arxiv.org/abs/2507.07800

Adaptive Attention Residual U-Net for curvilinear structure segmentation in fluorescence microscopy and biomedical images
Segmenting curvilinear structures in fluorescence microscopy remains a challenging task, particularly under noisy conditions and in dense filament networks commonly seen in vivo. To address this, we created two original datasets consisting of hundreds of synthetic images of fluorescently labelled microtubules within cells. These datasets are precisely annotated and closely mimic real microscopy images, including realistic noise. The second dataset presents an additional challenge, by simulating…

The Scintillator Surface Detector of the Pierre Auger Observatory
The Pierre Auger Collaboration
https://arxiv.org/abs/2507.07762 https://

The Scintillator Surface Detector of the Pierre Auger Observatory
Data collected so far by the Pierre Auger Observatory have enabled major advances in ultra-high energy cosmic ray physics and demonstrated that improved determination of masses of primary cosmic-ray particles, preferably on an event-by-event basis, is necessary for understanding their origin and nature. Improvement in primary mass measurements was the main motivation for the upgrade of the Pierre Auger Observatory, called AugerPrime. As part of this upgrade, scintillator detectors are added to …

Behöver redigera en pdf hemifrån. Försöker logga in på det betalda Adobekonto jag har genom jobbet för att göra mitt jobb men Adobe insisterar på att jag inte har betalat för Acrobat (det enda programmet vi betalar för). Jag vill bara byta ut några år. Åter och åter igen blir det såhär när jag försöker använda kommersiell mjukvara. De vägrar ge mig tillgång till en tjänst vi betalat för, som fri mjukvara hade kunnat göra lika bra. Fattar verkligen inte varför man ska betala för mjukvara.

Probing Quantum Spin Systems with Kolmogorov-Arnold Neural Network Quantum States
Mahmud Ashraf Shamim, Eric Reinhardt, Talal Ahmed Chowdhury, Sergei Gleyzer, Paulo T Araujo
https://arxiv.org/abs/2506.01891

Probing Quantum Spin Systems with Kolmogorov-Arnold Neural Network Quantum States
Neural Quantum States (NQS) are a class of variational wave functions parametrized by neural networks (NNs) to study quantum many-body systems. In this work, we propose SineKAN, the NQS ansatz based on Kolmogorov-Arnold Networks (KANs), to represent quantum mechanical wave functions as nested univariate functions. We show that \sk wavefunction with learnable sinusoidal activation functions can capture the ground state energies, fidelities and various correlation functions of the 1D Transverse-F…

Funfact: Auch gesunde Menschen sind bei über 40 Grad nicht mehr lange gesund. SOGAR gesunde Menschen, muss man sich mal vorstellen.
https://www.derstandard.at/story/3000000275406/hitzewelle-in-italien-h246chste-warnstufe-in-vielen-…

Höchste Hitzewarnstufe in vielen italienischen Städten ausgerufen
Unter anderem in Rom, Florenz und Bologna sind auch gesunde Menschen zur Vorsicht aufgerufen. Bis zu 40 Grad werden auf Sizilien erwartet

Klar wird im Nationalrat auch Politik gemacht. Manchmal fühlt es sich aber eher nach Polemik an.
So hat #SVP-Nationalrat Christian Imark gerade eine Interpellation mit «Digitale Souveränität der Schweiz ist Realität!» betitelt, selbstverständlich inklusive Ausrufezeichen.
Viel Substanz findet man allerdings nicht, wie genau die

Da haben wir ja alle Glück gehabt, dass die meisten Leute in Pflegeheimen Harnwegsinfekte haben, sonst hätte man am Ende noch Luftfilter einbauen müssen https://social.pmj.rocks/@chgovnewsde/114708310202639288

Proportional Sensitivity in Generative Adversarial Network (GAN)-Augmented Brain Tumor Classification Using Convolutional Neural Network
Mahin Montasir Afif, Abdullah Al Noman, K. M. Tahsin Kabir, Md. Mortuza Ahmmed, Md. Mostafizur Rahman, Mufti Mahmud, Md. Ashraful Babu
https://arxiv.org/abs/2506.17165

Proportional Sensitivity in Generative Adversarial Network (GAN)-Augmented Brain Tumor Classification Using Convolutional Neural Network
Generative Adversarial Networks (GAN) have shown potential in expanding limited medical imaging datasets. This study explores how different ratios of GAN-generated and real brain tumor MRI images impact the performance of a CNN in classifying healthy vs. tumorous scans. A DCGAN was used to create synthetic images which were mixed with real ones at various ratios to train a custom CNN. The CNN was then evaluated on a separate real-world test set. Our results indicate that the model maintains hig…

Credit risk for large portfolios of green and brown loans: extending the ASRF model
Alessandro Ramponi, Sergio Scarlatti
https://arxiv.org/abs/2506.12510 h…

Credit risk for large portfolios of green and brown loans: extending the ASRF model
We propose a credit risk model for portfolios composed of green and brown loans, extending the ASRF framework via a two-factor copula structure. Systematic risk is modeled using potentially skewed distributions, allowing for asymmetric creditworthiness effects, while idiosyncratic risk remains Gaussian. Under a non-uniform exposure setting, we establish convergence in quadratic mean of the portfolio loss to a limit reflecting the distinct characteristics of the two loan segments. Numerical resu…

A Nonlinear Nonlocal Problem for the Caputo Fractional Subdiffusion Equation
Ravshan Ashurov, Rajapboy Saparboyev, Navbahor Nuraliyeva
https://arxiv.org/abs/2506.19516

A Nonlinear Nonlocal Problem for the Caputo Fractional Subdiffusion Equation
In this paper, we study a time-fractional subdiffusion equation with a nonlinear nonlocal initial condition involving the unknown solution at the final time. The considered problem is formulated using the Caputo fractional derivative of order \(0 < α< 1\), along with homogeneous Dirichlet boundary conditions. The nonlocal initial condition is of the form \( u(x,0) = g(x, u(x,T)) \), where \(g\) is a nonlinear function satisfying a Lipschitz condition. The main challenge arises from the implici…