Tootfinder

#Armenia - loved that, hope they survive through to the final! #Eurovision

This is worth a listen, especially if you like Armando Iannucci and/or Stewart Lee!
Comedy writer Armando Iannucci decodes the utterly baffling world of political language.
This week, Helen Lewis is away, so comedian and writer Stewart Lee joins Armando to look at Robert Jenrick's flashy video in which he takes aim at 'weird Turkish barber shops', among other things. They discuss how the way politicians, entertainers and journalists are changing and overlapping…

R learning for applied statistics by Chenxin Li: #rstats

So, ich habe jetzt die Idiocracy hoffentlich durchgespielt und komme hoffentlich endlich wieder in die Map mit der Intelligenz und Empathie. Eben habe ich als Anmerkung zum laufenden Krieg im Nahen Osten und israelischen Angriffen auf iranische Erdölanlangen folgenden Satz gelesen: »Experten warnen: Das könnte für deutsche Autofahrer teuer werden.«
Die armen deutschen Autofahrer!

Armenian parliament speaker urges ban on Russian TV broadcasting: https://benborges.xyz/2025/07/02/armenian-parliament-speaker-urges-ban.html

3 #PositiveDinge gestern
- Giulianate, Op. 148, V L'Armonia von Mauro Giuliani geübt … Giuliani hebt immer meine Stimmung, erstaunlich, was er alles komponiert hat, ist knapp 3 Monate vor seinem 48. Geburtstag 1829 verstorben
- mit den bei der Arbeit ausgedachten Headlines einigermaßen zufrieden
- Mittagessen beim Vietnamesen

Enhancing Orthopedic Surgical Training With Interactive Photorealistic 3D Visualization
Roni Lekar, Tatiana Gerth, Sergey Prokudin, Matthias Seibold, Reto B\"urgin, Benjamin Vella, Armando Hoch, Siyu Tang, Philipp F\"urnstahl, Helmut Grabner
https://arxiv.org/abs/2506.13389

Enhancing Orthopedic Surgical Training With Interactive Photorealistic 3D Visualization
Surgical training integrates several years of didactic learning, simulation, mentorship, and hands-on experience. Challenges include stress, technical demands, and new technologies. Orthopedic education often uses static materials like books, images, and videos, lacking interactivity. This study compares a new interactive photorealistic 3D visualization to 2D videos for learning total hip arthroplasty. In a randomized controlled trial, participants (students and residents) were evaluated on spa…

MindGrab for BrainChop: Fast and Accurate Skull Stripping for Command Line and Browser
Armina Fani (Tri-Institutional Center for Translational Research in Neuroimaging and Data Science), Mike Doan (Tri-Institutional Center for Translational Research in Neuroimaging and Data Science), Isabelle Le (Tri-Institutional Center for Translational Research in Neuroimaging and Data Science), Alex Fedorov (Emory University), Malte Hoffmann (Harvard University), Chris Rorden (University of South C…

MindGrab for BrainChop: Fast and Accurate Skull Stripping for Command Line and Browser
We developed MindGrab, a parameter- and memory-efficient deep fully-convolutional model for volumetric skull-stripping in head images of any modality. Its architecture, informed by a spectral interpretation of dilated convolutions, was trained exclusively on modality-agnostic synthetic data. MindGrab was evaluated on a retrospective dataset of 606 multimodal adult-brain scans (T1, T2, DWI, MRA, PDw MRI, EPI, CT, PET) sourced from the SynthStrip dataset. Performance was benchmarked against Synth…

Bookmarked: calfa-co/hye-tesseract: Open OCR model for Armenian #Armenisch_OCR_Tesseract

SSLAM: Enhancing Self-Supervised Models with Audio Mixtures for Polyphonic Soundscapes
Tony Alex, Sara Ahmed, Armin Mustafa, Muhammad Awais, Philip JB Jackson
https://arxiv.org/abs/2506.12222

SSLAM: Enhancing Self-Supervised Models with Audio Mixtures for Polyphonic Soundscapes
Self-supervised pre-trained audio networks have seen widespread adoption in real-world systems, particularly in multi-modal large language models. These networks are often employed in a frozen state, under the assumption that the SSL pre-training has sufficiently equipped them to handle real-world audio. However, a critical question remains: how well do these models actually perform in real-world conditions, where audio is typically polyphonic and complex, involving multiple overlapping sound s…