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@daniel@social.telemetrydeck.com
2026-05-16 07:52:14

Good morning cuties

A coffee Cup with a large red letter „D“ on it in front of a window
@Mediagazer@mstdn.social
2026-06-08 16:30:35

Trump's lawyers tell SCOTUS that he intends to ask for the revival of his $475M defamation suit against CNN over use of the term "Big Lie" in its 2020 reporting (Erik Larson/Bloomberg)
bloomberg.com/news/articles/20

@Sustainable2050@mastodon.energy
2026-05-08 20:08:16

Warmest 3 months of April on record, globally:
1. April 2024
2. April 2025
3. April 2026, 1.43°C above the estimated pre-industrial level (together with 2016 and 2020)
climate.copernicus.eu/surface-

Bar graph showing anomalies vs pre-industrial growing from around 0.5C in the 1980s to almost 1.5C now.
@fanf@mendeddrum.org
2026-06-08 11:43:06

from my link log —
Generics and compile time in Rust.
pingcap.com/blog/generics-and-
saved 2020-06-16

@tinoeberl@mastodon.online
2026-07-10 14:16:02

#Bruttospeicherleistung von #Batteriespeichern nach Marktakteur in #Deutschland ab 2012 mit Stand vom 30.06.2026.
Betrachtet werden Datensätze mit Betriebsstatus „akti…

Ein gestapeltes Flächendiagramm zeigt die Bruttospeicherleistung von Batteriespeichern in Deutschland ab 2012, aufgeteilt nach Marktakteuren, mit Stand vom 30.06.2026. Der größte Anteil entfällt auf Privatpersonen (blau), während Unternehmen (orange) einen kleineren, aber wachsenden Anteil haben. Die Gesamtleistung steigt ab 2020 stark an. Die aktuelle Gesamtbatteriespeicherleistung liegt bei 15,14 Gigawatt.
@memeorandum@universeodon.com
2026-05-07 00:01:16

Justice Department can keep 2020 election ballots seized from Georgia's Fulton County, judge rules (Kate Brumback/Associated Press)
apnews.com/article/trump-2020-
memeorandum.com/260506/p104#a2

@colinpurrington@flipping.rocks
2026-05-16 13:22:39

I tested the Spartan Mosquito Pro Tech, the Aion Mosquito Barrier, and the Tougher Than Tom Mosquito TNT in my Pennsylvania yard. tl/dr: they don't kill mosquitoes but plenty of Americans are still buying them. #mosquitoes #grifting #pesticides #nature #biology #insects #diptera #carbondioxide #co2 colinpurrington.com/2020/08/ye

@vosje62@mastodon.nl
2026-06-02 23:46:45

Soo...
Niveautje bereikt.. 😀
Best lekker relaxt.
Die Rosenheim-Cops: Eine Nacht mit Folgen (S09/E01) - #ard #zdf
#RosenheimCops

@servelan@newsie.social
2026-04-20 16:37:21

Court Rejects Smithfield Foods' Arguments, Giving Low-Income Neighbors of Hog Farms Hope | The Daily Yonder
dailyyonder.com/court-rejects-

@fanf@mendeddrum.org
2026-06-27 08:42:03

from my link log —
Systems Performance: Enterprise and the Cloud, 2nd Edition.
brendangregg.com/blog/2020-07-
saved 2020-07-16

@gwire@mastodon.social
2026-06-30 08:52:27

Burnam's suggestion that, should he be PM, he would spend most of his time outside of London will prompt the sort of questions about the separation of function and location that would normally only be prompted by wartime.
Resilience in the long term, with technical adaptation, but for the foreseeable it's a helicopter on permanent standby.
(Many other organisations, of course, went through this in early 2020.)

@NFL@darktundra.xyz
2026-04-30 16:19:23

Source: Vet DE Campbell reuniting with Ravens espn.com/nfl/story/_/id/486383

@arXiv_physicsaoph_bot@mastoxiv.page
2026-05-26 07:53:47

Seeing Inside the Storm: Improving Nowcasting by Integrating Meteorological Drivers
Minghui Qiu, Jun Chen, Lin Chen, Weifeng Chen, Shuxin Zhong, Zhidan Liu, Yu Zhang, Kaishun Wu
arxiv.org/abs/2605.24067 arxiv.org/pdf/2605.24067 arxiv.org/html/2605.24067
arXiv:2605.24067v1 Announce Type: new
Abstract: Most nowcasting systems, built on radar reflectivity, focus on current precipitation, ignoring the atmospheric precursors -- such as low-level convergence, turbulent eddies, and latent heating -- that offer a fleeting window to foresee storm birth. We introduce MeteoLogist, a physics-inspired radar intelligence framework that models the full life cycle of convection -- from its precursors to organized storm evolution. However, exploiting these precursors is non-trivial: they originate from multiple meteorological drivers -- thermodynamic, kinematic, and microphysical -- that evolve asynchronously (C1) and remain spatially fragmented (C2). To this end, MeteoLogist designs three tightly integrated components. The Physics-Tailored Encoders process radar echoes according to their intrinsic physical scales and semantics, forming thermodynamic, kinematic, and microphysical streams that capture distinct dynamical regimes. The Temporal-Phase Aligner addresses C1 by leveraging causal temporal attention to capture when and how different drivers interact and activate. The Cross-Field Spatial Aggregator addresses C2 through cross-regional fusion, aligning weak and scattered precursors across neighboring cells to expose upstream triggers and enforce spatial coherence. Evaluated on 3D-NEXRAD (2020--2022, US-wide), MeteoLogist boosts high-impact detection (CSI40) by 9.7% over strong baselines, and achieves a remarkable 37.67% gain during the storm-developing stage -- demonstrating true foresight in sensing storms before they appear. The code can be found in the supplementary material.
toXiv_bot_toot

@smurthys@hachyderm.io
2026-05-07 18:06:32

How much household stuff can you move across 8 states, 1600 miles, in a Chevy Sonic? 🚗
A lot as my wife and I established in Nov. 2020 at the height of COVID. 🗓️ #throwback
Anyway, sad to say goodbye to that car today. 🎁 #donation
#tbt #throwbackThursday #accomplishment

@arXiv_physicsaoph_bot@mastoxiv.page
2026-05-22 07:51:02

Visibility nowcasting in South Korea: a machine learning approach to class imbalance and distribution shift
Bong Gyun Shin, Chan Sik Lee, Hyesun Suh
arxiv.org/abs/2605.21507 arxiv.org/pdf/2605.21507 arxiv.org/html/2605.21507
arXiv:2605.21507v1 Announce Type: new
Abstract: Atmospheric visibility is a critical variable for transportation safety and air quality management, however, accurate prediction remains challenging due to the complex interactions between meteorological conditions and air pollutants, as well as the rarity of low-visibility events. This study introduces a machine learning framework to nowcast visibility in six major South Korean cities. To handle the imbalance in the 2018-2020 training data, we applied the Synthetic Minority Over-sampling Technique with Nominal and Continuous (SMOTENC) and Conditional Tabular Generative Adversarial Network (CTGAN). An ensemble approach combining machine learning and deep learning models was then used and evaluated on a 2021 test dataset. The results revealed a marked decline in predictive performance in the test set compared to the cross-validation phase. This degradation was attributed to a distributional shift between training and testing periods, which was quantitatively confirmed by measuring the Wasserstein distance of the most influential feature identified by SHAP analysis. In general, this study presents a methodology that aims to simultaneously address the dual challenges of data imbalance and temporal distributional shifts, and emphasizes the necessity of accounting for evolving external environmental factors when implementing nowcasting models on time-series data.
toXiv_bot_toot

@fanf@mendeddrum.org
2026-06-24 08:42:01

from my link log —
Discovering Dennis Ritchie's lost dissertation.
computerhistory.org/blog/disco
saved 2020-06-20

@tinoeberl@mastodon.online
2026-07-10 16:18:02

#Speicherkapazität der #Batteriespeicher nach #Marktakteur in #Deutschland

Ein gestapeltes Flächendiagramm zeigt die Entwicklung der Speicherkapazität von Batteriespeichern in Deutschland ab 2012, aufgeteilt nach Marktakteuren, mit Stand vom 30.06.2026. Privatpersonen (blau) dominieren deutlich, Unternehmen (orange) tragen einen kleineren, aber zunehmenden Anteil bei. Die Gesamtkapazität steigt ab 2020 stark an. Die aktuelle Gesamtkapazität liegt bei 22,99 Gihawattstunden.
@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

@fanf@mendeddrum.org
2026-06-25 11:42:01

from my link log —
How NAT traversal works.
tailscale.com/blog/how-nat-tra
saved 2020-08-21 dot…

@paulusm@scholar.social
2026-06-29 15:20:53

Delighted to announce that I'm SCROBBLING once more (first time since 2020)! How could I have lived without that wonderful verb?!
JellyFin (NAS) > Feishin > Turntable > Maloja (NAS)
#SelfHosting #DeSpotify