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@datascience@genomic.social
2026-06-22 10:00:01

{ggdist}: Visualizations of distributions and uncertainty #rstats #ggplot

Far more American children have likely been separated from their parents during immigration sweeps than previously understood,
according to a report by the Washington, D.C.-based think tank Brookings.
The report published Monday estimates more than 100,000 U.S. citizen children have had a parent detained since Donald Trump’s mass deportation campaign began last year.
The analysis cites reporting from ProPublica on the detention of parents, which can often lead to family se…

@rasterweb@mastodon.social
2026-07-23 04:00:03

➡️ Songlink (Odesli): The Smart Link Tool Explained
#bookmarks

@Mediagazer@mstdn.social
2026-05-22 15:01:32

A Q&A with Mike Richards, the Daily Wire's new CEO following the abrupt departure of Caleb Robinson, on the Daily Wire's continued entertainment push and more (Seth Abramovitch/The Hollywood Reporter)
hollywoodreporter.com/b…

@sherold@mastodon.online
2026-05-23 14:01:56

We all start our lives small, and no one can ever truly recover from this. Which is to say that as children, our smallness renders us vulnerable to the ‘big people’ in our lives – an experience that shapes who we become, as the psychoanalyst Tom Wooldridge explains in his lyrical Essay.

@aardrian@toot.cafe
2026-05-19 22:44:06

Since when did autumn become dangerous?
Anyway, one of a myriad reasons I don’t log into LinkedIn (except, apparently, to self-promote, which is the whole reason it exists).

A LinkedIn connection request, profile name redacted, but with description: “Two Brands. 1 Purpose; Attract, Assess & Acquire the best SALES talent for growth. Be Limitless.” The message: “Hey Adrian, How're things going at Self Employed? The reason I ask, we're working with a global fall protection company that is looking for Sr Digital Marketing Manager and thought you'd want to learn more. Let me know and I can flip over the job over?”
@arXiv_physicsaoph_bot@mastoxiv.page
2026-05-22 07:54:20

From Licensing to Open Access: Designing a Sustainable Transition in Operational Weather Data
Emma Pidduck, Umberto Modigliani, Victoria L. Bennett, Fabio Venuti, Florian Pappenberger, Florence Rabier
arxiv.org/abs/2605.21673 arxiv.org/pdf/2605.21673 arxiv.org/html/2605.21673
arXiv:2605.21673v1 Announce Type: new
Abstract: This translational article documents the European Centre for Medium-Range Weather Forecasts (ECMWF) transition from a restricted data licensing model to open access under CC BY 4.0, completed in October 2025. The policy context included EU open data requirements and alignment with international data exchange frameworks. The transition was implemented through a tiered service model that kept core forecast data open while offering operationally supported delivery as a cost-recovered service. Between 2020 and 2025, ECMWF executed an iterative planning cycle: setting an annual target for revenue reduction, specifying additions to the open tier under that target, provisioning infrastructure, and assessing outcomes to update assumptions. Drawing on internal administrative records (2014 - 2025), we describe design choices, operational constraints, and early outcomes. In the six months following the end of the transition, more than 93% of previously paying organisations retained a Service Agreement, while open endpoint download volumes increased substantially. We discuss trade-offs in defining the open tier (resolution, parameters, schedule), the reduction of compliance overheads formerly associated with redistribution restrictions, and the scalability implications of global distribution. We note an emerging sustainability question as AI-based forecast products become freely available. The early evidence is consistent with the view that a tiered service model can be designed to reconcile open-access obligations with operational sustainability, subject to monitoring over longer contract renewal cycles (typically annual).
toXiv_bot_toot

@arXiv_astrophGA_bot@mastoxiv.page
2026-07-22 08:07:49

Morphology-spin connection in the SAMI Galaxy Survey
Youngmin Baek, Sree Oh, Sukyoung K. Yi, Scott M. Croom, Matthew Colless, Jesse van de Sande, Stefania Barsanti, Sam P. Vaughan
arxiv.org/abs/2607.18654 arxiv.org/pdf/2607.18654 arxiv.org/html/2607.18654
arXiv:2607.18654v1 Announce Type: new
Abstract: The spin parameter $\lambda_{\rm{R_e}}$ is a proxy for the specific stellar angular momentum of galaxies and is a useful metric for classifying kinematic morphology. This study aims to quantify the relative importance of galaxy properties in explaining $\lambda_{\rm{R_e}}$, using data from the Sydney-AAO Multi-object Integral-field spectrograph (SAMI) Galaxy Survey. We apply partial correlation analysis and partial least squares regression to assess the relative contributions of different parameters in explaining $\lambda_{\rm{R_e}}$. We find that morphology indicators, bulge-to-total ratio within one effective radius ($B/T_\rm{e}$) and ellipticity ($\varepsilon_\rm{e}$), show the strongest correlations with $\lambda_{\rm{R_e}}$ and play a leading role in the regression analysis. This result statistically confirms the established fast-rotator sequence, in which fast-rotating early-type galaxies form a continuous structural and kinematic sequence with spiral galaxies, with $\lambda_{\rm{R_e}}$ decreasing as bulge prominence increases. The light-weighted age and stellar mass also exhibit significant correlations, but their contributions are secondary to the morphology indicators in multivariate analyses. We also examine whether the observed trends in $\lambda_{\rm{R_e}}$ can be reproduced using galaxy properties alone. The morphology indicators (${B/T_\rm{e}}$, $\varepsilon_\rm{e}$) reproduce the overall distribution of observed $\lambda_{\rm{R_e}}$ with a scatter of about 0.12, while the inclusion of Age_LW and $M_\star$ provides only modest additional improvement. However, these relations do not reproduce the slow-rotator regime well. Overall, our results show that photometric structural parameters best explain $\lambda_{\rm{R_e}}$ and suggest that statistical inference of galaxy spin from non-IFS observables may become feasible with improved models and a broader set of parameters.
toXiv_bot_toot

@krone@frawas.de
2026-06-20 07:14:41

Adabei Primetime - Stars zeigen sich sexy Arnold auf Heimatbesuch #News #Nachrichten

How Trump became the accidental green president
Donald Trump
— a man who has spent his career joking about windmills, ripping up climate agreements and waging war on anything containing the word “green”
— is presiding over an accelerating transition to net-zero carbon emissions in the United States.

In May, solar power overtook coal in electricity output for the first time.
Energy storage and solar made up 91 percent of new grid capacity in the first quarter …