Tootfinder

from my link log —
A look at iMessage in iOS 14.
https://googleprojectzero.blogspot.com/2021/01/a-look-at-imessage-in-ios-14.html
saved 2021-01-31

🍬 Shape-shifting material could transform future of implantable and ingestible medical devices
https://medicalxpress.com/news/2025-09-shifting-material-future-implantable-ingestible.html

Shape-shifting material could transform future of implantable and ingestible medical devices
Researchers led by Rice University's Yong Lin Kong have developed a soft but strong metamaterial that can be controlled remotely to rapidly transform its size and shape.

Nowhere was quite as hard hit as Santa Barbara,
which experienced the soggiest three-day stretch of November rain in the county's recorded history.
According to data from the National Weather Service, the Santa Barbara Airport received 6.67 inches of rain between Friday and Sunday,
breaking the location's previous three-day total set in 2002 when it received 5.66 inches.
The downpour was so heavy because it pulled in moisture all the way from Hawaii as it rotat…

Santa Barbara hit hard by storms: record rainfall, flooded streets, moisture from Hawaii
According to data from the National Weather Service, the Santa Barbara Airport received 6.67 inches of rain between Friday and Sunday, breaking the location'...

The Ukraine Reparations Loan: How to fix Europe's financial plumbing. As US support for Ukraine vanishes, Europe must overcome Belgian opposition and improvise fiscally to provide Kyiv with €210 billion.
https://www.cer.eu/insights/ukraine-reparatio…

The Ukraine Reparations Loan: How to fix Europe's financial plumbing
As US support for Ukraine vanishes, Europe must overcome Belgian opposition and improvise fiscally to provide Kyiv with €210 billion.

Semi-Supervised 3D Medical Segmentation from 2D Natural Images Pretrained Model
Pak-Hei Yeung, Jayroop Ramesh, Pengfei Lyu, Ana Namburete, Jagath Rajapakse
https://arxiv.org/abs/2509.15167

Semi-Supervised 3D Medical Segmentation from 2D Natural Images Pretrained Model
This paper explores the transfer of knowledge from general vision models pretrained on 2D natural images to improve 3D medical image segmentation. We focus on the semi-supervised setting, where only a few labeled 3D medical images are available, along with a large set of unlabeled images. To tackle this, we propose a model-agnostic framework that progressively distills knowledge from a 2D pretrained model to a 3D segmentation model trained from scratch. Our approach, M&N, involves iterative co-…

Tarpeellinen kärsimys? Eläinsuojelulainsäädännön harhaanjohtava lupaus https://www.helsinki.fi/fi/uutiset/demokratia/tarpeellinen-karsimys-elainsuojelulainsaadannon-harhaanjohtava-lupaus

Tarpeellinen kärsimys? Eläinsuojelulainsäädännön harhaanjohtava lupaus | Helsingin yliopisto
Eläinsuojelulainsäädäntö ei juurikaan suojaa eläimiä kärsimykseltä. Vaikka lain kirjain saattaa kuulostaa eläimiä suojelevalta, on eläinsuojelun konteksti kuitenkin ennen kaikkea eläinten käyttö ihmisten tarpeisiin.

Critical fantasy football insights for Week 12: Spotlight on Cousins after Penix hits IR https://www.nytimes.com/athletic/6814487/2025/11/18/critical-insights-usage-fantasy-football-week-12/

QuizRank: Picking Images by Quizzing VLMs
Tenghao Ji, Eytan Adar
https://arxiv.org/abs/2509.15059 https://arxiv.org/pdf/2509.15059

QuizRank: Picking Images by Quizzing VLMs
Images play a vital role in improving the readability and comprehension of Wikipedia articles by serving as `illustrative aids.' However, not all images are equally effective and not all Wikipedia editors are trained in their selection. We propose QuizRank, a novel method of image selection that leverages large language models (LLMs) and vision language models (VLMs) to rank images as learning interventions. Our approach transforms textual descriptions of the article's subject into multiple-cho…

DF-LLaVA: Unlocking MLLM's potential for Synthetic Image Detection via Prompt-Guided Knowledge Injection
Zhuokang Shen, Kaisen Zhang, Bohan Jia, Yuan Fang, Zhou Yu, Shaohui Lin
https://arxiv.org/abs/2509.14957

DF-LLaVA: Unlocking MLLM's potential for Synthetic Image Detection via Prompt-Guided Knowledge Injection
With the increasing prevalence of synthetic images, evaluating image authenticity and locating forgeries accurately while maintaining human interpretability remains a challenging task. Existing detection models primarily focus on simple authenticity classification, ultimately providing only a forgery probability or binary judgment, which offers limited explanatory insights into image authenticity. Moreover, while MLLM-based detection methods can provide more interpretable results, they still la…

“Protect free speech,” Trump said.
Then he silenced Colbert and Kimmel.
Banning books, removing images of slavery, “examining” Smithsonian exhibits, threatening FCC licenses…
BULLSHIT. This is censorship!
We won’t let him erase history, muzzle critics, or rewrite truth.
We stand with Jimmy.
https://

Congresswoman Chellie Pingree (@pingree.house.gov)
“Protect free speech,” Trump said. Then he silenced Colbert and Kimmel. Banning books, removing images of slavery, “examining” Smithsonian exhibits, threatening FCC licenses… BULLSHIT. This is censorship! We won’t let him erase history, muzzle critics, or rewrite truth. We stand with Jimmy.