Tootfinder

Ted Cruz subpoenas FCC head behind Kimmel suspension after calling him 'dangerous as hell' - Alternet.org
https://www.alternet.org/brendan-carr-ted-cruz/

Testing the performance of cross-correlation techniques to search for molecular features in JWST NIRSpec G395H observations of transiting exoplanets
Emma Esparza-Borges, Mercedes L\'opez-Morales, Enric Pall\'e, Vladimir Makhnev, Iouli Gordon, Robert Hargreaves, James Kirk, Claudio C\'aceres, Ian J. M. Crossfield, Nicolas Crouzet, Leen Decin, Jean-Michel D\'esert, Laura Flagg, Antonio Garc\'ia Mu\~noz, Joseph Harrington, Karan Molaverdikhani, Giuseppe Morello, Nikola…

Testing the performance of cross-correlation techniques to search for molecular features in JWST NIRSpec G395H observations of transiting exoplanets
Cross-correlations techniques offer an alternative method to search for molecular species in JWST observations of exoplanet atmospheres. In a previous article, we applied cross-correlation functions for the first time to JWST NIRSpec/G395H observations of exoplanet atmospheres, resulting in a detection of CO in the transmission spectrum of WASP-39b and a tentative detection of CO isotopologues. Here we present an improved version of our cross-correlation technique and an investigation into how …

🎵 Skanktus Dominatrix🎵
Experiments in transubstantiation ("Ewww. I'm not drinking that!")
Louisiana judge orders return of devices to ex-priest caught having sex on church altar;
https://www.theguardian.com/us-news/2025/a

Anatomy-DT: A Cross-Diffusion Digital Twin for Anatomical Evolution
Moinak Bhattacharya, Gagandeep Singh, Prateek Prasanna
https://arxiv.org/abs/2509.25280 https://

Anatomy-DT: A Cross-Diffusion Digital Twin for Anatomical Evolution
Accurately modeling the spatiotemporal evolution of tumor morphology from baseline imaging is a pre-requisite for developing digital twin frameworks that can simulate disease progression and treatment response. Most existing approaches primarily characterize tumor growth while neglecting the concomitant alterations in adjacent anatomical structures. In reality, tumor evolution is highly non-linear and heterogeneous, shaped not only by therapeutic interventions but also by its spatial context an…

My reaction to the little snippets I caught is similar to @…’s, and of course this is the whole point:
Fascist movements have always, always rested on insecure, mediocre men who feel like the world owes them something and it’s slipping away, who will do •anything• and believe •anything• as an alternative to the nagging feeling that actually they just kind of suck.
1/ https://climatejustice.social/@Brad_Rosenheim/115293541723826815

The Invisible Mentor: Inferring User Actions from Screen Recordings to Recommend Better Workflows
Litao Yan, Andrew Head, Ken Milne, Vu Le, Sumit Gulwani, Chris Parnin, Emerson Murphy-Hill
https://arxiv.org/abs/2509.26557

The Invisible Mentor: Inferring User Actions from Screen Recordings to Recommend Better Workflows
Many users struggle to notice when a more efficient workflow exists in feature-rich tools like Excel. Existing AI assistants offer help only after users describe their goals or problems, which can be effortful and imprecise. We present InvisibleMentor, a system that turns screen recordings of task completion into vision-grounded reflections on tasks. It detects issues such as repetitive edits and recommends more efficient alternatives based on observed behavior. Unlike prior systems that rely o…

Parallax: Efficient LLM Inference Service over Decentralized Environment
Chris Tong, Youhe Jiang, Gufeng Chen, Tianyi Zhao, Sibian Lu, Wenjie Qu, Eric Yang, Lynn Ai, Binhang Yuan
https://arxiv.org/abs/2509.26182

Parallax: Efficient LLM Inference Service over Decentralized Environment
Deploying a large language model (LLM) inference service remains costly because centralized serving depends on specialized GPU clusters and high-bandwidth interconnects in datacenters. An appealing alternative is to leverage collaborative decentralized GPU pools. However, heterogeneity in GPU and limited interconnected network bandwidth, along with potentially dynamic availability, make efficient scheduling the central challenge in this scenario. In this paper, we present Parallax, a decentrali…

Local aggregate multiscale processes: A scalable, machine-learning-compatible spatial model
Daisuke Murakami, Alexis Comber, Takahiro Yoshida, Narumasa Tsutsumida, Chris Brunsdon, Tomoki Nakaya
https://arxiv.org/abs/2510.00968

Local aggregate multiscale processes: A scalable, machine-learning-compatible spatial model
This study develops the Local Aggregate Multiscale Process (LAMP), a scalable and machine-learning-compatible alternative to conventional spatial Gaussian processes (GPs, or kriging). Unlike conventional covariance-based spatial models, LAMP represents spatial processes by a multiscale ensemble of local models, inspired by geographically weighted regression. To ensure stable model training, larger-scale patterns that are easier to learn are modeled first, followed by smaller-scale patterns, wit…

​'How it happened in Cuba': Pop superstar Gloria Estefan now carries her passport 'just in case' - Alternet.org
https://www.alternet.org/gloria-estefan-trump/

Multi-modal Liver Segmentation and Fibrosis Staging Using Real-world MRI Images
Yang Zhou, Kunhao Yuan, Ye Wei, Jishizhan Chen
https://arxiv.org/abs/2509.26061 https://

Multi-modal Liver Segmentation and Fibrosis Staging Using Real-world MRI Images
Liver fibrosis represents the accumulation of excessive extracellular matrix caused by sustained hepatic injury. It disrupts normal lobular architecture and function, increasing the chances of cirrhosis and liver failure. Precise staging of fibrosis for early diagnosis and intervention is often invasive, which carries risks and complications. To address this challenge, recent advances in artificial intelligence-based liver segmentation and fibrosis staging offer a non-invasive alternative. As a…