Tootfinder

Crikey, there's a strong smell of weed down Rectory Lane tonight. #NotAEuphemism

#NTP

Did you know someone reverse-engineered the Weather Channel computer system from the 80s/90s and now you can generate your own private weather channel for your location?
https://weatherstar.netbymatt.com

Dies geht auch mit Hühnerfiletstücklein vortrefflich, und mit Ssamjang statt Srirache (Chilipulver würd's wahrscheinlich auch tun). #nommention
https://…

Cumin Beef and Green Bean Stir-Fry Recipe (Gift Recipe)
Borrowing from both Hunan and Indo-Chinese cuisine, this speedy stir-fry features a generous amount of crushed cumin seeds for their aroma and earthy flavor. While ketchup is commonly used in Indo-Chinese cooking to provide tangy sweetness, sriracha does double duty, delivering a spicy kick without needing to reach for the chile powder. Green beans are ideal here for their mild sweetness and crunchy texture, but any quick-cooking vegetable will work in their place.

The Home Office has permitted police to run facial recognition scans against images held in the UK’s passport and immigration databases without notifying Parliament or the public, say privacy campaigners.
https://www.computing.co.uk/news/2025/uk-p

UK police use passport, immigration photos in facial recognition without public disclosure
The Home Office has permitted police to run facial recognition scans against images held in the UK’s passport and immigration databases without notifying Parliament or ...

South Korea probes credit card company data breach affecting 3 million customers https://therecord.media/south-korea-probes-credit-card-data-breach

Järnbrist är vanlig hos tonårsflickor och drabbar nästan var tredje flicka. Detta gäller i större utsträckning för flickor som äter klimatvänligt eller vegetariskt. Även skolmåltider är otillräckliga – både gällande totalt järnintag och biotillgänglighet av järn. https://

MMIS-Net for Retinal Fluid Segmentation and Detection
Nchongmaje Ndipenocha, Alina Mirona, Kezhi Wanga, Yongmin Li
https://arxiv.org/abs/2508.13936 https://

MMIS-Net for Retinal Fluid Segmentation and Detection
Purpose: Deep learning methods have shown promising results in the segmentation, and detection of diseases in medical images. However, most methods are trained and tested on data from a single source, modality, organ, or disease type, overlooking the combined potential of other available annotated data. Numerous small annotated medical image datasets from various modalities, organs, and diseases are publicly available. In this work, we aim to leverage the synergistic potential of these datasets…