Tootfinder

🇺🇦 #NowPlaying on KEXP's #Early
Kris Kross:
🎵 Jump
#KrisKross
https://djpaulharwoodremixes.bandcamp.com/track/kris-kross-jump-dj-paul-harwood-remix
https://open.spotify.com/track/27AHAtAirQapVldIm4c9ZX

With Trump set to speak at an energy and AI summit at Carnegie Mellon, a look at plans to turn some shuttered mill sites in Pittsburgh into AI data centers (Kris Maher/Wall Street Journal)
https://www.wsj.com/tech/ai/can-pittsburgh…

🇺🇦 #NowPlaying on KEXP's #JazzTheatre
Kris Davis:
🎵 Softly, as You Wake / First Steps
#KrisDavis

Als Mieter*in ist man dann halt gefickt.
https://infosec.exchange/@isotopp/114823337546769564

The Three Hundred Project: deducing the stellar splashback structure of galaxy clusters from their orbiting profiles
Kris Walker, Aaron Ludlow, Chris Power, Alexander Knebe, Weiguang Cui
https://arxiv.org/abs/2508.07232

The Three Hundred Project: deducing the stellar splashback structure of galaxy clusters from their orbiting profiles
We examine the splashback structure of galaxy clusters using hydrodynamical simulations from the GIZMO run of The Three Hundred Project, focusing on the relationship between the stellar and dark matter components. We dynamically decompose clusters into orbiting and infalling material and fit their density profiles. We find that the truncation radius $r_{\mathrm{t}}$, associated with the splashback feature, coincides for stars and dark matter, but the stellar profile exhibits a systematically st…

Schwarz-Rot in der Krise: Der Brosius-Gersdorf-Rückzug löst die Probleme nicht. Kommentar von Sabine am Orde.
https://taz.de/Schwarz-Rot-in-der-Krise/!6102598/

🇺🇦 #NowPlaying on #BBC6Music's #DonLettsCultureClashRadio
Kris Kemist:
🎵 Reggae Recipe Dub
#KrisKemist
https://realityshock.bandcamp.com/track/reggae-recipe-dub-2
https://open.spotify.com/track/2kzC5W2TCSPZOX0ChrbCaK

"It's wiggity, wiggity, wiggity wack!"
It seems Kid1 has discovered Kris Kross.

Numerical evolution of self-gravitating halos of self-interacting dark matter
Marc Kamionkowski, Kris Sigurdson, Oren Slone
https://arxiv.org/abs/2506.04334

Numerical evolution of self-gravitating halos of self-interacting dark matter
We discuss a modification of a recently developed numerical scheme for evolving spherically symmetric self-gravitating systems to include the effects of self-interacting dark matter. The approach is far more efficient than traditional N-body simulations and cross sections with different dependencies on velocity and scattering-angle are easily accommodated. To demonstrate, we provide results of a simulation, which runs quickly on a personal computer, that shows the expected initial flattening of…

WhiSQA: Non-Intrusive Speech Quality Prediction Using Whisper Encoder Features
George Close, Kris Hong, Thomas Hain, Stefan Goetze
https://arxiv.org/abs/2508.02210 https://

WhiSQA: Non-Intrusive Speech Quality Prediction Using Whisper Encoder Features
There has been significant research effort developing neural-network-based predictors of SQ in recent years. While a primary objective has been to develop non-intrusive, i.e.~reference-free, metrics to assess the performance of SE systems, recent work has also investigated the direct inference of neural SQ predictors within the loss function of downstream speech tasks. To aid in the training of SQ predictors, several large datasets of audio with corresponding human labels of quality have been c…

DIGS: Dynamic CBCT Reconstruction using Deformation-Informed 4D Gaussian Splatting and a Low-Rank Free-Form Deformation Model
Yuliang Huang, Imraj Singh, Thomas Joyce, Kris Thielemans, Jamie R. McClelland
https://arxiv.org/abs/2506.22280

DIGS: Dynamic CBCT Reconstruction using Deformation-Informed 4D Gaussian Splatting and a Low-Rank Free-Form Deformation Model
3D Cone-Beam CT (CBCT) is widely used in radiotherapy but suffers from motion artifacts due to breathing. A common clinical approach mitigates this by sorting projections into respiratory phases and reconstructing images per phase, but this does not account for breathing variability. Dynamic CBCT instead reconstructs images at each projection, capturing continuous motion without phase sorting. Recent advancements in 4D Gaussian Splatting (4DGS) offer powerful tools for modeling dynamic scenes, …

Towards reliable use of artificial intelligence to classify otitis media using otoscopic images: Addressing bias and improving data quality
Yixi Xu, Al-Rahim Habib, Graeme Crossland, Hemi Patel, Chris Perry, Kris Bock, Tony Lian, William B. Weeks, Rahul Dodhia, Juan Lavista Ferres, Narinder Pal Singh
https://arxiv.org/abs/2507.18842…

Towards reliable use of artificial intelligence to classify otitis media using otoscopic images: Addressing bias and improving data quality
Ear disease contributes significantly to global hearing loss, with recurrent otitis media being a primary preventable cause in children, impacting development. Artificial intelligence (AI) offers promise for early diagnosis via otoscopic image analysis, but dataset biases and inconsistencies limit model generalizability and reliability. This retrospective study systematically evaluated three public otoscopic image datasets (Chile; Ohio, USA; Türkiye) using quantitative and qualitative methods.…

A Fast Bayesian Method for Coherent Gravitational Wave Searches with Relative Astrometry
Benjamin Zhang, Kris Pardo, Yijun Wang, Luke Bouma, Tzu-Ching Chang, Olivier Dor\'e
https://arxiv.org/abs/2506.19206

A Fast Bayesian Method for Coherent Gravitational Wave Searches with Relative Astrometry
Using relative stellar astrometry for the detection of coherent gravitational wave sources is a promising method for the microhertz range, where no dedicated detectors currently exist. Compared to other gravitational wave detection techniques, astrometry operates in an extreme high-baseline-number and low-SNR-per-baseline limit, which leads to computational difficulties when using conventional Bayesian search techniques. We extend a technique for efficiently searching pulsar timing array datase…

Whilter: A Whisper-based Data Filter for "In-the-Wild" Speech Corpora Using Utterance-level Multi-Task Classification
William Ravenscroft, George Close, Kit Bower-Morris, Jamie Stacey, Dmitry Sityaev, Kris Y. Hong
https://arxiv.org/abs/2507.21642

Whilter: A Whisper-based Data Filter for "In-the-Wild" Speech Corpora Using Utterance-level Multi-Task Classification
Large-scale in-the-wild speech datasets have become more prevalent in recent years due to increased interest in models that can learn useful features from unlabelled data for tasks such as speech recognition or synthesis. These datasets often contain undesirable features, such as multiple speakers, non-target languages, and music, which may impact model learning. The Whilter model is proposed as a multitask solution to identify these undesirable samples. Whilter uses a Whisper encoder with an a…

🇺🇦 #NowPlaying on #BBC6Music's #GuyGarveysFinestHour
Kris Kristofferson:
🎵 Sunday Morning Coming Down
#KrisKristofferson
https://billwhite.bandcamp.com/track/sunday-morning-coming-down
https://open.spotify.com/track/0gSc5Vo4tczXkHb2V208jz

The DORCHA suite: nature, nurture, and the phase space distribution of the Milky Way's high redshift progenitors today
Sreedhar Balu, Chris Power, Kris Walker, J. Stuart B. Wyithe
https://arxiv.org/abs/2506.14016

The DORCHA suite: nature, nurture, and the phase space distribution of the Milky Way's high redshift progenitors today
Where in the present-day Milky Way should we search for the remnants of its earliest stars? We address this question using the DORCHA (Gaelic for Dark; DUR-uh-khuh) suite: a set of 25 high-resolution, dark-matter-only cosmological zoom-in simulations of Milky Way analogue (MWA) haloes evolved to $z=0$. Of these, 15 are isolated and the rest are in pairs, similar to the MW and M31. By identifying and tagging the most bound material in high-redshift ($z\geq5$) progenitor haloes -- those likely to…

🇺🇦 #NowPlaying on #BBC6Music's #GuyGarveysFinestHour
Kris Kristofferson:
🎵 Sunday Morning Coming Down
#KrisKristofferson
https://billwhite.bandcamp.com/track/sunday-morning-coming-down
https://open.spotify.com/track/0gSc5Vo4tczXkHb2V208jz