Tootfinder

Elon Musk calls Trump’s ‘big, beautiful’ tax bill
a ‘disgusting abomination’
The former head of Doge said the ‘outrageous’ tax bill will cause the deficit to grow to $2.5tn
https://www.theguardian.com/us-news/2025/j

Human stupidity knows no limits:
Experiencing extreme weather and disasters is not enough to change views on climate action
https://theconversation.com/experiencing-extreme-weather-and-disasters-is-not-…

Experiencing extreme weather and disasters is not enough to change views on climate action, study shows
A 70,000-person global study found understanding how events such as fires and floods are linked to climate change may be a key driver of support for climate action.

Legal Marijuana's Disastrous Legacy (Charles Fain Lehman/Wall Street Journal)
https://www.wsj.com/opinion/legal-marijuanas-disastrous-legacy-policy-law-7c727c22
http://www.memeorandum.com/250704/p2#a250704p2

Cowboy Roundup: Dissecting the Dallas drama, Players struggling in camp https://www.si.com/nfl/cowboys/dissecting-dallas-cowboys-drama-players-struggling-training-camp

🇺🇦 Auf radioeins läuft...
Dojo Cuts:
🎵 The Scene
#NowPlaying #DojoCuts
https://dojocuts.bandcamp.com/track/the-scene-2
https://open.spotify.com/track/5WbIiaNommbTNicqBzfHZZ

Target Sensing Performance in Disaster-Specific ISAC Networks
Ahmet Burak Ozyurt, John S. Thompson
https://arxiv.org/abs/2506.02828 https://

Target Sensing Performance in Disaster-Specific ISAC Networks
As sixth-generation (6G) wireless technology emerges, integrated sensing and communication (ISAC) networks offer significant potential for enhancing real-time monitoring in disaster areas. However, existing ISAC approaches often fail to address the unique challenges of dynamic and cluttered disaster areas, resulting in limited sensing coverage and interruptions in sensing service. To address these limitations, this work proposes a mobile ISAC network specifically designed for disaster scenarios…

'Matter of Life and Death': New Tracker Exposes Trump Regime's Attack on Disaster Preparedness | Common Dreams
https://www.commondreams.org/news/trump-disaster-preparedness-tracker

Modality Agnostic, patient-specific digital twins modeling temporally varying digestive motion
Jorge Tapias Gomez, Nishant Nadkarni, Lando S. Bosma, Jue Jiang, Ergys D. Subashi, William P. Segars, James M. Balter, Mert R Sabuncu, Neelam Tyagi, Harini Veeraraghavan
https://arxiv.org/abs/2507.01909…

Modality Agnostic, patient-specific digital twins modeling temporally varying digestive motion
Objective: Clinical implementation of deformable image registration (DIR) requires voxel-based spatial accuracy metrics such as manually identified landmarks, which are challenging to implement for highly mobile gastrointestinal (GI) organs. To address this, patient-specific digital twins (DT) modeling temporally varying motion were created to assess the accuracy of DIR methods. Approach: 21 motion phases simulating digestive GI motion as 4D sequences were generated from static 3D patient scans…

‘Songwriters are at the bottom of the earning scale – and that is unfathomable, inexcusable and disgusting’
https://www.musicbusinessworldwide.com/…

‘Songwriters are at the bottom of the earning scale – and that is unfathomable, inexcusable and disgusting’
Shelly Peiken on writing classic hits for Meredith Brooks, Christina Aguilera and many others, as well as her fight for songwriters’ rights, ignoring the algorithm, and not being an asshole

Optimizing Start Locations in Ergodic Search for Disaster Response
Ananya Rao, Alyssa Hargis, David Wettergreen, Howie Choset
https://arxiv.org/abs/2507.02708

Optimizing Start Locations in Ergodic Search for Disaster Response
In disaster response scenarios, deploying robotic teams effectively is crucial for improving situational awareness and enhancing search and rescue operations. The use of robots in search and rescue has been studied but the question of where to start robot deployments has not been addressed. This work addresses the problem of optimally selecting starting locations for robots with heterogeneous capabilities by formulating a joint optimization problem. To determine start locations, this work adds …