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@Sustainable2050@mastodon.energy
2026-05-21 17:53:41

Big "Refugees welcome" demonstration in Utrecht, just now. A counterweight to the 'spontaneous local' violent protests against asylum seekers organised by the extreme right, and used by their politicians to claim that 'the people' are against taking up refugees.

Crowd on a sunny Dom square, by our medieval cathedral.
@frankel@mastodon.top
2026-06-20 09:16:44

#Softwaredevelopment & #IA: De l'artisan du #code au superviseur de l'IA - une histoire déjŠ vécue dans l’aviation civile

@@arXiv_physicsatomph_bot@mastoxiv.page@mastoxiv.page
2026-05-21 07:41:50

Non-equilibrium exciton dynamics in tailored molecular potentials of Rydberg ion crystals
Simon Euchner, Mathias B. M. Svendsen, Igor Lesanovsky
arxiv.org/abs/2605.21250

@lightweight@mastodon.nzoss.nz
2026-07-08 03:12:08
@arXiv_qbioNC_bot@mastoxiv.page
2026-07-21 08:08:14

Emergent topological structure in spontaneous brain-organoid activity
Eve Bodnia, Margaux Basart, Sofie Hai, Lenzie Ford, Nina Miolane, Kenneth S. Kosik, Dirk Bouwmeester, Lincoln D. Carr
arxiv.org/abs/2607.16517 arxiv.org/pdf/2607.16517 arxiv.org/html/2607.16517
arXiv:2607.16517v1 Announce Type: new
Abstract: Neural activity is widely held to organize on low-dimensional structure embedded in a high-dimensional state space. Persistent homology reads such structure directly from the pattern of pairwise correlations, without assuming in advance which variables are relevant. We apply persistent homology to microelectrode-array (MEA) recordings of spontaneous activity from human (Lancaster) and mouse (Pa\c{s}ca) cortical organoids, spanning $26$--$234$ simultaneously sorted units, and ask whether topological data analysis resolves structure at the node counts that neural recordings actually deliver. Building weighted networks in correlation space and characterizing them by Vietoris--Rips filtration, we find that the first homology ($H_1$, loops) rises significantly above a rate- and population-preserving null in $14$ of $18$ datasets. This loop structure occupies a non-redundant core: it is robust to random removal of units yet disrupted by targeted removal of the units that carry it. Topological richness grows with network size, and second homology ($H_2$) emerges significantly above the null only in the larger networks. These results show that persistent homology resolves structured topology in neural recordings at the scale experiments actually deliver.
toXiv_bot_toot

@scott@carfree.city
2026-05-19 02:21:36

Last boost: I disagree with Connie Chan on transportation issues, but in a federal race where our new Congressperson will vote on foreign wars, I'm going to amplify both of the non–Scott Wiener candidates. Wiener spent years denying the genocide in Gaza and attacking people calling for peace as antisemites. He falsely maintains the problem is just Netanyahu, ignoring that Israeli "opposition" leaders make constant genocidal statements too. Wiener would be an enabler of unspeaka…

@netzschleuder@social.skewed.de
2026-07-19 07:00:05

sp_hypertext: Hypertext 2009 dynamic contact network
The temporal network of contacts among attendees of the ACM Hypertext 2009 conference, which spanned 2.5 days of time.
This network has 113 nodes and 2196 edges.
Tags: Social, Offline, Unweighted, Temporal
networks.skewed.de/net/sp_hype…

sp_hypertext: Hypertext 2009 dynamic contact network. 113 nodes, 2196 edges. https://networks.skewed.de/net/sp_hypertext#intervals
@netzschleuder@social.skewed.de
2026-07-19 02:00:05

sp_hypertext: Hypertext 2009 dynamic contact network
The temporal network of contacts among attendees of the ACM Hypertext 2009 conference, which spanned 2.5 days of time.
This network has 113 nodes and 2196 edges.
Tags: Social, Offline, Unweighted, Temporal
networks.skewed.de/net/sp_hype…

sp_hypertext: Hypertext 2009 dynamic contact network. 113 nodes, 2196 edges. https://networks.skewed.de/net/sp_hypertext#intervals
@netzschleuder@social.skewed.de
2026-05-18 12:00:05

sp_hypertext: Hypertext 2009 dynamic contact network
The temporal network of contacts among attendees of the ACM Hypertext 2009 conference, which spanned 2.5 days of time.
This network has 113 nodes and 20818 edges.
Tags: Social, Offline, Unweighted, Temporal
networks.skewed.de/net/sp_hype…

sp_hypertext: Hypertext 2009 dynamic contact network. 113 nodes, 20818 edges. https://networks.skewed.de/net/sp_hypertext#contacts
@netzschleuder@social.skewed.de
2026-06-17 04:00:04

sp_hypertext: Hypertext 2009 dynamic contact network
The temporal network of contacts among attendees of the ACM Hypertext 2009 conference, which spanned 2.5 days of time.
This network has 113 nodes and 20818 edges.
Tags: Social, Offline, Unweighted, Temporal
networks.skewed.de/net/sp_hype…

sp_hypertext: Hypertext 2009 dynamic contact network. 113 nodes, 20818 edges. https://networks.skewed.de/net/sp_hypertext#contacts