Tootfinder

from my link log —
TLD domain name renewal grace periods.
https://www.namecheap.com/support/knowledgebase/article.aspx/9916/2207/tlds-grace-periods/
saved 2025-09-09

TLDs' grace periods - Domains - Namecheap.com
Learn more about TLDs' grace periods. Find your answers at Namecheap Knowledge Base.

Cinco aspectos a ver en el juego contra Raiders https://www.49ers.com/news/cinco-aspectos-a-ver-en-el-juego-contra-raiders

Ten public schools in Canberra will be closed today and at least another 10 will be partially closed due to potential asbestos contamination.
https://www.abc.net.au/news/2025-11-14/several-act-schools-closed-after-asbestos-risk-fo…

Snap closure of several Canberra schools after asbestos found in decorative coloured sand
A snap closure has been issued for a number of schools in the ACT over fears of asbestos exposure.

SemCSE-Multi: Multifaceted and Decodable Embeddings for Aspect-Specific and Interpretable Scientific Domain Mapping
Marc Brinner, Sina Zarrie{\ss}
https://arxiv.org/abs/2510.11599

SemCSE-Multi: Multifaceted and Decodable Embeddings for Aspect-Specific and Interpretable Scientific Domain Mapping
We propose SemCSE-Multi, a novel unsupervised framework for generating multifaceted embeddings of scientific abstracts, evaluated in the domains of invasion biology and medicine. These embeddings capture distinct, individually specifiable aspects in isolation, thus enabling fine-grained and controllable similarity assessments as well as adaptive, user-driven visualizations of scientific domains. Our approach relies on an unsupervised procedure that produces aspect-specific summarizing sentences…

A novel imaging solution, called
"prostate-specific membrane antigen (PSMA) positron emission tomography (PET) scanning",
can more effectively detect the recurrence of prostate cancer
compared to standard imaging methods,
and is associated with improved survival outcomes.

New imaging technique boosts survival in prostate cancer patients
A multicenter study led by London Health Sciences Centre Research Institute (LHSCRI), Lawson Research Institute of St. Joseph's Health Care London (Lawson), and University Health Network (UHN) has found a novel imaging solution, called prostate-specific membrane antigen (PSMA) positron emission tomography (PET) scanning, can more effectively detect the recurrence of prostate cancer compared to standard imaging methods, and is associated with improved survival outcomes.

We're happy to see an official Muni sign at Church/Duboce replace our community-installed one after 3 years! They even reused our mounting hardware 🥺 Make your own sign at https://munisign.org

🪶 3D-printed superconductor achieves record performance with soft matter approach
#cornell …

3D-printed superconductor achieves record performance with soft matter approach
Nearly a decade after they first demonstrated that soft materials could guide the formation of superconductors, Cornell researchers have achieved a one-step, 3D printing method that produces superconductors with record properties.

Advancing Cross-lingual Aspect-Based Sentiment Analysis with LLMs and Constrained Decoding for Sequence-to-Sequence Models
Jakub \v{S}m\'id, Pavel P\v{r}ib\'a\v{n}, Pavel Kr\'al
https://arxiv.org/abs/2508.10366

Advancing Cross-lingual Aspect-Based Sentiment Analysis with LLMs and Constrained Decoding for Sequence-to-Sequence Models
Aspect-based sentiment analysis (ABSA) has made significant strides, yet challenges remain for low-resource languages due to the predominant focus on English. Current cross-lingual ABSA studies often centre on simpler tasks and rely heavily on external translation tools. In this paper, we present a novel sequence-to-sequence method for compound ABSA tasks that eliminates the need for such tools. Our approach, which uses constrained decoding, improves cross-lingual ABSA performance by up to 10\%…

Improving Generative Cross-lingual Aspect-Based Sentiment Analysis with Constrained Decoding
Jakub \v{S}m\'id, Pavel P\v{r}ib\'a\v{n}, Pavel Kr\'al
https://arxiv.org/abs/2508.10369

Improving Generative Cross-lingual Aspect-Based Sentiment Analysis with Constrained Decoding
While aspect-based sentiment analysis (ABSA) has made substantial progress, challenges remain for low-resource languages, which are often overlooked in favour of English. Current cross-lingual ABSA approaches focus on limited, less complex tasks and often rely on external translation tools. This paper introduces a novel approach using constrained decoding with sequence-to-sequence models, eliminating the need for unreliable translation tools and improving cross-lingual performance by 5\% on ave…