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Business software was a mistake https://hachyderm.io/@katemorley/114817160349601290

Kate Morley (@katemorley@hachyderm.io)
Attached: 1 image You know that meme about the ridiculous names of business productivity software? This is an actual notification I received at work this morning:

Prime and semiprime Lie ideals in C*-algebras
Eusebio Gardella, Kan Kitamura, Hannes Thiel
https://arxiv.org/abs/2506.11819 https://a…

Prime and semiprime Lie ideals in C*-algebras
Using the theory of Dixmier ideals developed in previous work, we show that every semiprime Lie ideal in a C*-algebra arises as the full normalizer subspace of a semiprime two-sided ideal. This leads to a concise description of all semiprime Lie ideals in terms of semiprime two-sided ideals, and an analogous description of prime Lie ideals in terms of prime two-sided ideals. For unital C*-algebras without characters, we obtain a natural bijection between (semi)prime two-sided ideals and (semi…

Mehrere Dudes inzwischen so: "Eine selbsterhaltende Kettenreaktion hat gar nichts mit einer Atombombe zu tun!!!"
Das habt ihr schön gelernt, Dudes.
Komisch ist nur, dass man sowohl in den USA als auch in Deutschland zuerst versuchte, eine selbsterhaltende Kettenreaktion zu erreichen.
Statt, ohne über Los zu gehen, direkt an einer Bombe zu arbeiten.
Im Gegensatz zu Dudes, die vielleicht Physik im Leistungskurs hatten, lernt man als Geschichtsstudent, was de…

🇺🇦 #NowPlaying on KEXP's #StreetSounds
Keith Murray:
🎵 The Most Beautifullest Thing in This World (Green-Eyed remix)
#KeithMurray
https://jperiod.bandcamp.com/track/keith-murray-the-most-beautifullest-thing-in-this-world
https://open.spotify.com/track/3tZQaOGFwlqkhxKOeVrH4V

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…

Spatial tangible user interfaces for cognitive assessment and training
Ehud Sharlin, Yuichi Itoh, Benjamin Watson, Yoshifumi Kitamura, Steve Sutphen, Lili Liu, Fumio Kishino
https://arxiv.org/abs/2507.01944

Spatial tangible user interfaces for cognitive assessment and training
This paper discusses Tangible User Interfaces (TUIs) and their potential impact on cognitive assessment and cognitive training. We believe that TUIs, and particularly a subset that we dub spatial TUIs, can extend human computer interaction beyond some of its current limitations. Spatial TUIs exploit human innate spatial and tactile ability in an intuitive and direct manner, affording interaction paradigms that are practically impossible using current interface technology. As proof-of-concept we…

Meisterschaft im Zurückrudern, die

preserved dead from peru and chile. pictures from "memento mori: the dead among us" by paul koudounaris

A robust and versatile deep learning model for prediction of the arterial input function in dynamic small animal $\left[^{18}\text{F}\right]$FDG PET imaging
Christian Salomonsen, Luigi Tommaso Luppino, Fredrik Aspheim, Kristoffer Wickstr{\o}m, Elisabeth Wetzer, Michael Kampffmeyer, Rodrigo Berzaghi, Rune Sundset, Robert Jenssen, Samuel Kuttner
https:…

A robust and versatile deep learning model for prediction of the arterial input function in dynamic small animal $\left[^{18}\text{F}\right]$FDG PET imaging
Dynamic positron emission tomography (PET) and kinetic modeling are pivotal in advancing tracer development research in small animal studies. Accurate kinetic modeling requires precise input function estimation, traditionally achieved via arterial blood sampling. However, arterial cannulation in small animals like mice, involves intricate, time-consuming, and terminal procedures, precluding longitudinal studies. This work proposes a non-invasive, fully convolutional deep learning-based approach…

Faxen dick.
https://qr.ae/pA9gni