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@Techmeme@techhub.social
2026-05-20 02:50:54

GitHub says it's investigating "unauthorized access" to its internal repositories, and there's no proof of customer data outside its repositories being impacted (@github)
x.com/github/status/2056884788

@rigo@mamot.fr
2026-05-19 08:58:36

Grande surprise Š la CNIL: Si rien n'est poursuivi, rien n'est imposé, la protection des données est ignoré pour faire des profits faramineux.
franceinfo.fr/interne…

@arXiv_physicsfludyn_bot@mastoxiv.page
2026-05-19 08:16:29

Spatio-Temporal Signatures of Intermittency in Helically Rotating Turbulence through Topological Data Analysis
Snigdhashree Mallick (International Institute of Information Technology, Bangalore, India), Yashwanth Ramamurthi (International Institute of Information Technology, Bangalore, India), Shiva Kumar Malapaka (International Institute of Information Technology, Bangalore, India), Amit Chattopadhyay (International Institute of Information Technology, Bangalore, India)
arxiv.org/abs/2605.17560 arxiv.org/pdf/2605.17560 arxiv.org/html/2605.17560
arXiv:2605.17560v1 Announce Type: new
Abstract: A central challenge in hydrodynamic turbulence is identifying precisely when, and at which length scales, strong turbulent fluctuations (STFs) emerge and develop into intermittent events, which are often obscured by conventional statistical diagnostics. We address this problem by applying a Topological Data Analysis (TDA) framework to reveal the spatiotemporal signatures of intermittency in low-resolution ($128^3$) helically rotating turbulent flows. Vorticity magnitude and length-scale (eddy size) fields are used as scalar observables for TDA: vorticity characterizes rotational dynamics that generate multiscale flow structures, while length-scale fields encode the scales at which intermittent activity arises. Their evolving topology is quantified using persistence diagrams and Wasserstein-distance metrics. Compared with traditional statistical approaches, this framework is more sensitive to localized and short-lived flow variations, enabling clearer detection of intermittent behavior. Pronounced variations in Wasserstein-distance heatmaps provide direct signatures of STFs across space and time. Together, these results demonstrate that TDA offers an effective complementary tool for detecting STFs that lead to intermittency within turbulent regime.
toXiv_bot_toot

@aral@mastodon.ar.al
2026-07-19 10:17:32

Interviewer: “When you see Gaza destroyed like this, how do you feel?”
Katz: “What do I feel? Feel good.”
Hey boy, are you a work of art? Because you’d look great hanging in Nuremberg. @…

@seeingwithsound@mas.to
2026-06-19 06:32:16

Approaching background sounds extend the duration of foreground auditory stimuli nature.com/articles/s41598-026 "blindfolded participants passively listened to (background) approaching, receding, or scrambled (control) motion sounds, which were rendered using…

@usul@piaille.fr
2026-05-19 05:28:47

L’humanité grandit, les Indiens rapetissent
lemonde.fr/international/artic

@netzschleuder@social.skewed.de
2026-06-19 09:00:13

us_roads: United States roads (2000)
The road networks of the 50 US States and the District of Columbia based on UA Census 2000 TIGER/Line Files. Edges are stretches of road and vertices are intersections of roads. The data sets were assembled by Dominik Schultes. The 'merged' network contains all the states merged together.
This network has 497458 nodes and 629750 edges.
Tags: Transportation, Roads, Unweighted

us_roads: United States roads (2000). 497458 nodes, 629750 edges. https://networks.skewed.de/net/us_roads#IN
@mia@hcommons.social
2026-05-18 13:45:30

Sharing stats from the UK's #InternationalMuseumDay #IMD2026 @icomuk.b…

A line chart showing the number of 'Museums with object records in MDS', starting from about 20 in September 2024 to over 120 in May 2026
Line chart showing an increase in the number of 'Object records in MDS', starting about 3 million in September 2024 and around 7.6 million in May 2026
@servelan@newsie.social
2026-05-19 15:25:09

"the Financial Times reported that Trump has suggested to Xi that the United States, China and Russia “co-operate against the International Criminal Court (ICC),” the only intergovernmental organization with the authority to prosecute individuals for certain crimes, including genocide and crimes against humanity."
Onlookers floored as Trump's astounding proposal to Xi revealed: 'Of course he did' - Raw Story
rawstory.com/trump-xi-26769122

@usul@piaille.fr
2026-05-20 04:43:45

Guerre en Ukraine : entre Kherson et Olechky, deux mondes face Š face Š 10 kilomètres de distance
lemonde.fr/international/artic