Tootfinder

🗺️ Building routes with 𝐑 𝐎𝐒𝐑𝐌 on 𝐎𝐩𝐞𝐧𝐒𝐭𝐫𝐞𝐞𝐭𝐌𝐚𝐩 data and tired of switching to terminal and breaking the workflow?
Just use osrm.backend::osrm_start("your_data_folder")
• No need to pre-install 𝐃𝐨𝐜𝐤𝐞𝐫 or 𝐨𝐬𝐫𝐦-𝐛𝐚𝐜𝐤𝐞𝐧𝐝 native app — it’s handled for you on macOS, Windows, and Linux automagically
• No manual graph prep (though you can, see options for advanced users)
📘 Get started:

lesmis: Les Misérables coappearances
The network of scene coappearances of characters in Victor Hugo's novel "Les Miserables". Edge weights denote the number of such occurrences.
This network has 77 nodes and 254 edges.
Tags: Social, Fictional, Weighted
https://networks.skewed.de/net/lesmis

💊 Occurrence, Dominance, and Combined Use of Antibiotics in Aquaculture Ponds
#food

Dual-granularity Sinkhorn Distillation for Enhanced Learning from Long-tailed Noisy Data
Feng Hong, Yu Huang, Zihua Zhao, Zhihan Zhou, Jiangchao Yao, Dongsheng Li, Ya Zhang, Yanfeng Wang
https://arxiv.org/abs/2510.08179

Dual-granularity Sinkhorn Distillation for Enhanced Learning from Long-tailed Noisy Data
Real-world datasets for deep learning frequently suffer from the co-occurring challenges of class imbalance and label noise, hindering model performance. While methods exist for each issue, effectively combining them is non-trivial, as distinguishing genuine tail samples from noisy data proves difficult, often leading to conflicting optimization strategies. This paper presents a novel perspective: instead of primarily developing new complex techniques from scratch, we explore synergistically le…

3 gute und 3 schlechte Seiten am Osramkiez https://weddingweiser.de/3-gute-und-3-schlechte-seiten-am-osramkiez/

The fifth #AAS press conference https://www.youtube.com/watch?v=0dHXMm3pbWU about Asteroids, Low-Mass Stars, and a Mystery from History covered the papers Lightcurves, Rotation Periods, and Colors for Vera C. Rubin Observatory’s First Asteroid Discoveries (https://iopscience.iop.org/article/10.3847/2041-8213/ae2a30 with https://rubinobservatory.org/news/rubin-record-breaking-asteroid-pre-survey and https://noirlab.edu/public/news/noirlab2601/ and https://www6.slac.stanford.edu/news/2026-01-07-nsf-doe-vera-c-rubin-observatory-spots-record-breaking-asteroid-pre-survey), Dearth of Photosynthetically Active Radiation Suggests No Complex Life on Late M-Star Exoplanets (https://arxiv.org/abs/2601.02548 with https://drive.google.com/drive/folders/1LlyzaK1wTk0hnqNGRCEMNe8BZEaMMFde), A Plasma Torus around a Young Low-mass Star (https://iopscience.iop.org/article/10.3847/2041-8213/ade39a with https://carnegiescience.edu/naturally-occurring-space-weather-station-elucidates-new-way-study-habitability-planets-orbiting-m) and Barnard's mysterious star near Venus - a strange interloper noted during a satellite search (https://scicomm.xyz/@cosmos4u/115849624944298844).

Generation and annotation of item usage scenarios in e-commerce using large language models
Madoka Hagiri, Kazushi Okamoto, Koki Karube, Kei Harada, Atsushi Shibata
https://arxiv.org/abs/2510.07885

Generation and annotation of item usage scenarios in e-commerce using large language models
Complementary recommendations suggest combinations of useful items that play important roles in e-commerce. However, complementary relationships are often subjective and vary among individuals, making them difficult to infer from historical data. Unlike conventional history-based methods that rely on statistical co-occurrence, we focus on the underlying usage context that motivates item combinations. We hypothesized that people select complementary items by imagining specific usage scenarios an…

openflights: Openflights airport network
A network of regularly occurring flights among airports worldwide, extracted from the openflights.org dataset. Nodes represent airports, and direction of edge (i,j) indicates a regularly occurring commercial flight by a particular airline from airport i to airport j. Multiple edges may exist between a pair of airports if multiple airlines offer that flight, or if one airline offers multiple such flights each day.
This network has 3214 node…

budapest_connectome: Budapest Reference Connectome 3.0
A parameterizable consensus brain graph, derived from connectomes of 477 people, each computed from MRI datasets of the Human Connectome Project. Nodes are brain regions, and edges are weighted by the number of "tracks" that run between two nodes, as well as fiber length, fractional anisotropy and the number of occurrences in each of the 477 individuals.
This network has 1015 nodes and 54480 edges.
Tags: Biolo…