Tootfinder

Russian propaganda media Sputnik shuts down operations in Azerbaijan amid tensions: https://benborges.xyz/2025/07/03/russian-propaganda-media-sputnik-shuts.html

Bewerbungen zum #lptby251 sind willkommen #piraten
https://vorstand.pi…

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…

Bifurcation in optimal retirement
Bushra Shehnam Ashraf, Thomas S. Salisbury
https://arxiv.org/abs/2506.02155 https://arxiv.org/pdf/2…

Bifurcation in optimal retirement
We study optimal consumption and retirement using a Cobb-Douglas utility and a simple model in which an interesting bifurcation arises. With high wealth, individuals plan to retire. With low wealth they plan to never retire. At a critical level of initial wealth they may choose to defer this decision, leading to a continuum of wealth trajectories with identical utilities.

Cluster analysis of earthquake hypocenters in Azerbaijan and surrounding territories
Sergii Skurativskyi, Sergiy Mykulyak, Yuliya Semenova, Kateryna Skurativska
https://arxiv.org/abs/2506.22829

Cluster analysis of earthquake hypocenters in Azerbaijan and surrounding territories
The research focuses on seismic events that occurred in Azerbaijan and adjacent territories, regions known for strong seismic activity. We analyze a catalog of recorded earthquakes between 2010 and 2023, extracting the locations of the earthquake hypocenters for study purposes. Using statistical methods and cluster analysis tools, we developed a procedure for partitioning hypocenter clusters. The procedure begins with estimates of the Morisita Index, which is suitable for preliminary assessment…

Heute vor 20 Jahren: Am 27. Juni 2005 wurde im #Kernkraftwerk #FitzPatrick (USA) ein Riss im Torus entdeckt, der zu einer möglichen Gefährdung der Containment-Dichtigkeit führte (INES 1). Ein Notfall wurde ausgerufen und das Werk heruntergefahren, um Reparaturen durchzuführen.

@…
Zwei Fehlerberichte:
Nach einschalten und Ausschalten funktioniert die SIM nicht mehr. In den Benachrichtigungen steht ein Ausrufezeichen. Ich habe die SIM im Telefonladen durch eine neue ersetzen lassen und den Vertrag prüfen lassen. Es liegt am Shiftphone.
Bei der Nutzung von F-Droid wird ein fehlerhaftes Shift-Zertifikat angezeigt…

Defend the right to arrange pride parades in Hungary, support Amnesty int. https://www.amnesty.se/agerahub/ungern-forbjuder-prideparader-krav-att-lagen-upphavs/

Die Agentur für Arbeit will E-Mail Bundesweit abschaffen, statt dessen nur noch per App oder per Post erreichbar sein.
Terminsachen werden damit zur Glückssache bei Laufzeiten bis zu zwei Wochen für Briefe.
Also wieder das Faxgerät ausgraben.
https://www.hl-live.de/text.php?id=173398

Arbeits-Agentur schafft E-Mail ab
Lübeck - St. Jürgen: Videokommunikation, Online-Terminvergabe, Kunden-Apps: Die Bundesagentur für Arbeit (BA) bietet ihren Kundinnen und Kunden zahlreiche Onlin

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…