Rethinking modality-specificity in mental imagery https://link.springer.com/article/10.1007/s11229-026-05561-6 by @… on the
Heute erscheint Subnautica 2 und ich hab es schon mal unter Linux Mint runtergeladen und warte auf die Freigabe. Bin sowas von gespannt auf das Game und wie es unter Linux laufen wird, wobei ich mir da keine Sorgen mache, hab bisher keine Probleme bei den WindowsSpielen gehabt, die ich installiert hab. Obwohl an diesen WE will ich mal den MS 2020 runterladen und testen, bin da echt gespannt drauf ;D
Edit: Subnatutica Trailer ;D
Ik weet nog dat ik op Twitter verketterd werd toen ik dat constateerde. Alleen al doordat de verhouding tussen de bezetting op de IC en verpleegafdelingen eind maart 2020 compleet veranderde. Maar hoe durfde ik!!
Artsen: 'Code zwart was er feitelijk wél, honderden overlijdens door beddentekort' https://nos.nl/l/2618646
mist: MIST protein interaction database (2020)
The Molecular Interaction Search Tool (MIST) is a comprehensive resource of molecular interactions, assembled from severla primary sources. MIST currently supports several species, including:.
This network has 3563 nodes and 52013 edges.
Tags: Biological, Protein interactions, Unweighted
Trump Administration Demands Names of 2020 Election Workers in Georgia - The New York Times
https://www.nytimes.com/2026/05/04/us/politics/trump-2020-georgia-election-workers.html
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)
https://climate.copernicus.eu/surface-air-temperature-april-2026
#Bruttospeicherleistung von #Batteriespeichern nach Marktakteur in #Deutschland ab 2012 mit Stand vom 30.06.2026.
Betrachtet werden Datensätze mit Betriebsstatus „akti…
In meiner LinAlg-VL habe ich diese Abbildung, die Orientierung mithilfe von Determinanten erklärt. Dann gibt es ein Todo: Überarbeiten, sodass #TikZ die lineare Transformation wirklich anwendet und das transformierte F berechnet. Cooles Gadget, oder?
Heute schaue ich in den Quellcode und das ist schon implementiert !?
Wer war das? git blame!
Ich selbst im Mai 2020 mit commits "Determinantenzeugs" sowie "Kapitel 4 fertig".

Keine Erinnerung daran. Aber war ja Corona
Fulton County officials are racing to block a federal subpoena seeking personal information about thousands of election staffers, poll workers and volunteers ... (Atlanta Journal-Constitution)
https://www.ajc.com/politics/2026/05/fulton-seeks-to-block-federal-subpoena-targeting-2020-election-workers/
http://www.memeorandum.com/260505/p53#a260505p53
I couldn't care less about a bunch of rich people in Brooklyn, I just read the article for the delicious drama. However, about halfway through the article, I started to see so many #FreeSoftware parallels.
1) Volunteers spend countless unpaid hours creating/maintaining something to better their community.
2) For-profit business packages it up as part of their offering.
In 2022, I won the Arizona governorship by 0.7 points
against a candidate who refused to concede and still claims I stole the election.
I’m Katie Hobbs.
I know what election denial looks like up close
– it looked like Kari Lake standing outside my office telling her followers I was a criminal.
Now Andy Biggs wants my job.
Biggs didn’t just question the 2020 results. He voted against certifying them.
He called Arizona state lawmakers to find ways to …
Late #ThursDeath this week, it's still Thursday here for a bit. This week is this unreal new DESECRESY record, 'The Secret of Death'. Supposed to be out today, now, should definitely be up by tomorrow, the 22nd, etc. But these 2 singles are great, and I heard the rest, it is too.
#Bruttospeicherleistung von #Batteriespeichern nach Marktakteur in #Deutschland ab 2012 mit Stand vom 31.05.2026.
Betrachtet werden Datensätze mit Betriebsstatus „akti…
It’s been more than five years since the election,
the results already had been investigated multiple times,
and the ballots had been counted, recounted, and recounted again.
The lie that the 2020 election was stolen has persisted.
And the “Stop the Steal” movement’s most ardent believers now hold unprecedented positions of power,
including on the once-sleepy State Election Board in the important swing state of Georgia.
A lawyer known for his willingness …
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
https://arxiv.org/abs/2605.24067 https://arxiv.org/pdf/2605.24067 https://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
from my link log —
What made the 1960s CDC6600 supercomputer fast?
https://cpldcpu.wordpress.com/2020/02/14/what-made-the-cdc6600-fast/
saved 2020-02-15 …
wiki_science: Wikipedia Map of Science (2020)
A network of scientific fields, extracted from the English Wikipedia in early 2020. Nodes are wikipedia pages representing natural, formal, social and applied sciences, and two nodes are linked if the cosine similarity of the page content is above a threshold. See <http://www.s…
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
Visibility nowcasting in South Korea: a machine learning approach to class imbalance and distribution shift
Bong Gyun Shin, Chan Sik Lee, Hyesun Suh
https://arxiv.org/abs/2605.21507 https://arxiv.org/pdf/2605.21507 https://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
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
https://arxiv.org/abs/2605.21673 https://arxiv.org/pdf/2605.21673 https://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
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 https://colinpurrington.com/2020/08/yeast-based-mosquito-control-devices/?nocache=1