Tootfinder

The Energy Spectrum of Ultra-High Energy Cosmic Rays across Declinations $-90^\circ$ to $ 44.8^\circ$ as measured at the Pierre Auger Observatory
Collaboration, Halim, Abreu, Aglietta, Allekotte, Cheminant, Almela, Aloisio, Alvarez-Mu\~niz, Ambrosone, Yebra, Anastasi, Anchordoqui, Andrada, Dourado, Andringa, Apollonio, Aramo, Arnone, Vel\'azquez, Assis, Avila, Avocone, Bakalova, Barbato, Mocellin, Bellido, Berat, Bertaina, Bianciotto, Biermann, Binet, Bismark, Bister, Biteau, Blaze…

The Energy Spectrum of Ultra-High Energy Cosmic Rays across Declinations $-90^\circ$ to $+44.8^\circ$ as measured at the Pierre Auger Observatory
The energy spectrum of cosmic rays above 2.5 EeV has been measured across the declination range $-90^\circ \leqδ\leq +44.8^\circ$ using data from $\sim 310{,}000$ events accrued at the Pierre Auger Observatory from an exposure of $(104{,}900\pm 3{,}100)$ km$^2\,$sr$\,$yr. No significant variations of energy spectra with declination are observed, after allowing or not for non-uniformities across the sky arising from the well-established dipolar anisotropies in the arrival directions of ultra-hi…

"Comment le boom des milliardaires alimente les inégalités et menace la démocratie."
"Avec une richesse qui se concentre au sommet, l'Europe doit agir maintenant pour défendre la démocratie et la stabilité économique pour tous."
#TaxTheRich #démocratie

Yupp, which rewards users in crypto for comparing answers from multiple AI models and giving feedback, emerges from stealth with a $33M seed led by a16z crypto (James Hunt/The Block)
https://www.theblock.co/post/358094/a16zcrypto-3…

Schäden nach Angriffen in der Westukraine
Neben Kiew haben mehrere Angriffe nach ukrainischen Angaben auch die westukrainische Stadt Luzk und die Region Ternopil getroffen. "Heute hat der Feind den bisher massivsten Luftangriff auf unsere Region ausgeführt", erklärte der Chef der Militärverwaltung von Ternopil, Wjatscheslaw Negoda. Einsatzkräfte seien ausgerückt, um Brände zu löschen und die Schäden zu begutachten.
Bei dem A…
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Ukraine-Liveblog: ++ Kreml verärgert wegen Trumps Kleinkinder-Vergleich ++
Der Kreml hat verärgert auf einen Vergleich von US-Präsident Trump reagiert, der den Ukraine-Krieg mit einem Streit zwischen Kleinkindern verglichen hat. Nach russischen Angriffen in Kiew melden Behörden Tote und Verletzte. Der Liveblog vom Freitag zum Nachlesen.

"Comment le boom des milliardaires alimente les inégalités et menace la démocratie."
"Avec une richesse qui se concentre au sommet, l'Europe doit agir maintenant pour défendre la démocratie et la stabilité économique pour tous."
#TaxTheRich #démocratie

The RSNA Lumbar Degenerative Imaging Spine Classification (LumbarDISC) Dataset
Tyler J. Richards, Adam E. Flanders, Errol Colak, Luciano M. Prevedello, Robyn L. Ball, Felipe Kitamura, John Mongan, Maryam Vazirabad, Hui-Ming Lin, Anne Kendell, Thanat Kanthawang, Salita Angkurawaranon, Emre Altinmakas, Hakan Dogan, Paulo Eduardo de Aguiar Kuriki, Arjuna Somasundaram, Christopher Ruston, Deniz Bulja, Naida Spahovic, Jennifer Sommer, Sirui Jiang, Eduardo Moreno Judice de Mattos Farina, Edu…

The RSNA Lumbar Degenerative Imaging Spine Classification (LumbarDISC) Dataset
The Radiological Society of North America (RSNA) Lumbar Degenerative Imaging Spine Classification (LumbarDISC) dataset is the largest publicly available dataset of adult MRI lumbar spine examinations annotated for degenerative changes. The dataset includes 2,697 patients with a total of 8,593 image series from 8 institutions across 6 countries and 5 continents. The dataset is available for free for non-commercial use via Kaggle and RSNA Medical Imaging Resource of AI (MIRA). The dataset was cre…

Real-Time AI-Driven Pipeline for Automated Medical Study Content Generation in Low-Resource Settings: A Kenyan Case Study
Emmanuel Korir, Eugene Wechuli
https://arxiv.org/abs/2507.05212

Real-Time AI-Driven Pipeline for Automated Medical Study Content Generation in Low-Resource Settings: A Kenyan Case Study
Juvenotes is a real-time AI-driven pipeline that automates the transformation of academic documents into structured exam-style question banks, optimized for low-resource medical education settings in Kenya. The system combines Azure Document Intelligence for OCR and Azure AI Foundry (OpenAI o3-mini) for question and answer generation in a microservices architecture, with a Vue/TypeScript frontend and AdonisJS backend. Mobile-first design, bandwidth-sensitive interfaces, institutional tagging, a…

"I hate [politician on my side not doing what I want], they need to go!"
You can blame people you basically agree with, or you can work with the people available to try to work toward better.
1st feels good for maybe 5 minutes, then ruins improvement right now, the 2nd has a chance to make things better.
Try to take your anger, your resentment, which I share, to those chiefly responsible for problems, and not to those nearest and ablest to help, even if not as fla…

Measuring the muon content of inclined air showers using AERA and the water-Cherenkov detectors of the Pierre Auger Observatory
Collaboration, Halim, Abreu, Aglietta, Allekotte, Cheminant, Almela, Aloisio, Alvarez-Mu\~niz, Ambrosone, Yebra, Anastasi, Anchordoqui, Andrada, Dourado, Andringa, Apollonio, Aramo, Arnone, Vel\'azquez, Assis, Avila, Avocone, Bakalova, Barbato, Mocellin, Bellido, Berat, Bertaina, Bianciotto, Biermann, Binet, Bismark, Bister, Biteau, Blazek, Bl\"umer, …

Measuring the muon content of inclined air showers using AERA and the water-Cherenkov detectors of the Pierre Auger Observatory
We present a novel approach for assessing the muon content of air showers with large zenith angles on a combined analysis of their radio emission and particle footprint. We use the radiation energy reconstructed by the Auger Engineering Radio Array (AERA) as an energy estimator and determine the muon number independently with the water-Cherenkov detector array of the Pierre Auger Observatory, deployed on a 1500 m grid. We focus our analysis on air showers with primary energy above 4 EeV to ensu…

WIP: Large Language Model-Enhanced Smart Tutor for Undergraduate Circuit Analysis
Liangliang Chen, Huiru Xie, Jacqueline Rohde, Ying Zhang
https://arxiv.org/abs/2506.08962

WIP: Large Language Model-Enhanced Smart Tutor for Undergraduate Circuit Analysis
This research-to-practice work-in-progress (WIP) paper presents an AI-enabled smart tutor designed to provide homework assessment and feedback for students in an undergraduate circuit analysis course. We detail the tutor's design philosophy and core components, including open-ended question answering and homework feedback generation. The prompts are carefully crafted to optimize responses across different problems. The smart tutor was deployed on the Microsoft Azure platform and is currently in…