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🇺🇦 #NowPlaying on KEXP's #VarietyMix
Boney M.:
🎵 Feliz Navidad
#BoneyM
https://djivansantana.bandcamp.com/track/boney-m-feliz-navidad-dj-iva-n-santana-remix
https://open.spotify.com/track/0JsBV13SpbsCH6KPzA0EcT

Mijn leukste goede doel heeft elke masnd een nieuw project: We kappen 10.000 bomen om een dood bos te herstellen - YouTube
https://m.youtube.com/watch?v=T1QJvRsjg8M
> We’re restoring a green desert and bringing back vultures, a keystone species, and one of nature’s most vital s…

Transitivities of maps of generalized topological spaces
M. R. Ahmadi Zand, N. Baimani
https://arxiv.org/abs/2511.06241 https://arxiv.org/pdf/2511.06241 https://arxiv.org/html/2511.06241
arXiv:2511.06241v1 Announce Type: new
Abstract: In this work, we present several new findings regarding the concepts of orbit-transitivity, strict orbit-transitivity, $\omega$-transitivity, and $\mu$-open-set transitivity for self-maps on generalized topological spaces.
Let $(X,\mu)$ denote a generalized topological space. A point $x \in X$ is said to be \textit{quasi-$\mu$-isolated} if there exists a $\mu$-open set $U$ such that $x \in U$ and $i_\mu(U \setminus c_\mu(\{x\})) = \emptyset$. We prove that $x$ is a quasi-$\mu$-isolated point of $X$ precisely when there exists a $\mu$-dense subset $D$ of $X$ for which $x$ is a $\mu_D$-isolated point of $D$. Moreover, in the case where $X$ has no quasi-$\mu$-isolated points, we establish that a map $f: X \to X$ is orbit-transitive (or strictly orbit-transitive) if and only if it is $\omega$-transitive.
toXiv_bot_toot

Rewiring Development in Brain Segmentation: Leveraging Adult Brain Priors for Enhancing Infant MRI Segmentation
Alemu Sisay Nigru, Michele Svanera, Austin Dibble, Connor Dalby, Mattia Savardi, Sergio Benini
https://arxiv.org/abs/2510.09306

Rewiring Development in Brain Segmentation: Leveraging Adult Brain Priors for Enhancing Infant MRI Segmentation
Accurate segmentation of infant brain MRI is critical for studying early neurodevelopment and diagnosing neurological disorders. Yet, it remains a fundamental challenge due to continuously evolving anatomy of the subjects, motion artifacts, and the scarcity of high-quality labeled data. In this work, we present LODi, a novel framework that utilizes prior knowledge from an adult brain MRI segmentation model to enhance the segmentation performance of infant scans. Given the abundance of publicly …