Tootfinder

Spændende!
https://osb-alliance.de/featured/daenemark-goes-open-source

Osobiście, polecałbym trzymać się z daleka od "#Python Code Quality Authority". Projekty tej organizacji zostały właściwie przejęte przez wyjątkowo toksyczną osobę. #Ruff to dobra alternatywa, z bardzo przyjaznymi autorami.

No #digitalsovereignty without #opensource, warns OSBA
https://www.

Remember when George W claimed in 2003 that we needed to invade and occupy Iraq despite any evidence of bioweapons labs because he claimed that they were in RVs, traveling around desert? Mango Mussolini is giving a similar energy, here.
#Politics #USPolitics #USPol

"Peer reviewers altered their recommendation based on whether they were cited or wanted to be cited. A matched study of open peer review. . . "
https://osf.io/preprints/osf/wdvr9_v1
The problem with this sort of metascience is that it makes no attempt to assess whether requests for c…

🇺🇦 Auf radioeins läuft...
Neil Young, neil young and the chrome hearts:
🎵 Talkin to the Trees
#NowPlaying #NeilYoung #neilyoungandthechromehearts
https://open.spotify.com/track/6OwAcjV6LxKFI3BYQxkidp

Semi-Infinite Programming for Collision-Avoidance in Optimal and Model Predictive Control
Yunfan Gao, Florian Messerer, Niels van Duijkeren, Rashmi Dabir, Moritz Diehl
https://arxiv.org/abs/2508.12335 …

Semi-Infinite Programming for Collision-Avoidance in Optimal and Model Predictive Control
This paper presents a novel approach for collision avoidance in optimal and model predictive control, in which the environment is represented by a large number of points and the robot as a union of padded polygons. The conditions that none of the points shall collide with the robot can be written in terms of an infinite number of constraints per obstacle point. We show that the resulting semi-infinite programming (SIP) optimal control problem (OCP) can be efficiently tackled through a combinati…

Multinomial probit model based on joint quantile regression
Masaaki Okabe, Koki Matsuoka, Jun Tsuchida, Hiroshi Yadohisa
https://arxiv.org/abs/2508.13556 https://

Multinomial probit model based on joint quantile regression
The multinomial probit model is a typical statistical model for multiple-choice data applied in many research areas. When we are interested in some quantiles of relative utilities for understanding the distribution of these utilities, the multinomial probit model is unsuitable because we only interpret the expectation of relative utilities based on it. We thus propose quantile regression analysis methods for multinomial choice data based on joint quantile regression and multinomial probit model…

Ravens' David Ojabo, finally healthy, focused on playing fast and 'free' in contract year https://www.nfl.com/news/ravens-david-ojabo-finally-healthy-playing-fast-free-contract-year

Herzlichen Glückwunsch @…!
https://social.osb-alliance.de/@OSBA/114585884841678594