Tootfinder

Rheinmetall baut bald auch Weltraumsatelliten
Der Rüstungskonzern Rheinmetall erweitert sein Portfolio um Weltraum-Satelliten. Dafür wurde ein Gemeinschaftsunternehmen mit der Firma Iceye gegründet.
https://www.

Good job now peertube looks shit on mobile devices.
I need to call ublock origin to make it usable. Make these element go away if I don't click them after sometime or make them smaller.
Open in app ? Seriously?
@… #peertube

The ARRL has a long online text band plan which they have condensed for HF into The Considerate Operator's Frequency Guide which is not really in a convenient form to print and carry with you into the field when operating portable

Magda Fahrni, ma co-directrice de thèse d'antan, interviewée par la Presse par rapport Š son nouveau cours de bac sur l’histoire de la santé et de la maladie au Québec.
https://www.lapresse.ca/affaires/portfolio

Programmes universitaires | Naissance et trajectoire d’un nouveau cours
Tous les dix ans à peu près, les départements universitaires procèdent à une refonte de leurs programmes. Pour ce qui est des cours, qu’ils soient nouveaux ou déjà rodés, ils sont toujours des projets en cours, explique une professeure. Entrevue.

Protoplanetary disc population synthesis I. Constraining disc parameters to reproduce disc observations
Jose L. Gomez, Octavio M. Guilera, Marcelo M. Miller Bertolami, Elisa Castro-Mart\'inez, Mar\'ia Paula Ronco
https://arxiv.org/abs/2510.06978

Protoplanetary disc population synthesis I. Constraining disc parameters to reproduce disc observations
Context. Protoplanetary discs are the birthplaces of planets. Recent studies highlight the role of stellar mass sampling in determining disc lifetimes from the observed fraction of stars with discs. Low-mass stars tend to host longer-lived discs, allowing planet formation via solid accretion. Observations also reveal a strong correlation between stellar (and substellar) mass and accretion rate, typically following $\dot{M}\propto M_\star^2$. Aims. We aim to identify the optimal parameters of a …

This is an ace introduction to the #Fediverse by @… - I'm learning lots from this too.
Especially the peertube stuff is helpful. I have a channel and I don't know how to use it properly really either...
https://mastodon.social/@_elena/115264549144055806

Just read this long post on "the current state of Cara" https://cara.app/post/2e0d29d3-a57a-4b70-b0d0-9cefc15176ca
🤔 "Not having an algorithmically recommended feed is the biggest reason why people dropped off from Cara after we went viral. In a chronolog…

Jingna Zhang (@zemotion) | Cara - Artist Social & Portfolio Platform
About the current state of Cara— Hi all, I’d like to address some users' concerns about Cara’s stability, algorithms and reach, and why we don’t actively promote Cara and recruit new users. I have touched on most of these before through other posts, but I’ll like to go over the main points and put them in one place since they often come up as recurring questions: — Cara’s longevity/stability > "A few weeks ago, after learning how much Jingna was struggling with her personal l…

Generalizable Geometric Image Caption Synthesis
Yue Xin, Wenyuan Wang, Rui Pan, Ruida Wang, Howard Meng, Renjie Pi, Shizhe Diao, Tong Zhang
https://arxiv.org/abs/2509.15217 http…

Generalizable Geometric Image Caption Synthesis
Multimodal large language models have various practical applications that demand strong reasoning abilities. Despite recent advancements, these models still struggle to solve complex geometric problems. A key challenge stems from the lack of high-quality image-text pair datasets for understanding geometric images. Furthermore, most template-based data synthesis pipelines typically fail to generalize to questions beyond their predefined templates. In this paper, we bridge this gap by introducing…

VADER: A Variational Autoencoder to Infer Planetary Masses and Gas-Dust Disk Properties Around Young Stars
Sayed Shafaat Mahmud, Sayantan Auddy, Neal Turner, Jeffrey S. Bary
https://arxiv.org/abs/2509.12324

VADER: A Variational Autoencoder to Infer Planetary Masses and Gas-Dust Disk Properties Around Young Stars
We present \textbf{VADER} (Variational Autoencoder for Disks Embedded with Rings), for inferring both planet mass and global disk properties from high-resolution ALMA dust continuum images of protoplanetary disks (PPDs). VADER, a probabilistic deep learning model, enables uncertainty-aware inference of planet masses, $α$-viscosity, dust-to-gas ratio, Stokes number, flaring index, and the number of planets directly from protoplanetary disk images. VADER is trained on over 100{,}000 synthetic im…