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@metacurity@infosec.exchange
2026-05-26 17:45:08

Mike Lindell’s ‘MyPillow’ is latest target of ransomware attack
san.com/cc/mike-lindells-mypil

Wolfgang Porsche, the Austrian-German automotive magnate,
appears to have abandoned plans to build a private 500-metre tunnel for his cars through the Salzburg hills
after a public uproar over the “tunnel for one”.
In 2020, Porsche bought a storied 17th-century villa on the outskirts of Salzburg for €8.4m (£7.2m),
and last autumn he secured permission from the city authorities for an estimated €10m private access road through the rugged limestone hill.
The 83-ye…

@fanf@mendeddrum.org
2026-05-25 08:42:02

from my link log —
New amd64 micro-architecture levels.
sourceware.org/pipermail/libc-
saved 2020-11-08

@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

@fanf@mendeddrum.org
2026-05-25 22:01:09

RE: mastodon.social/@appassionato/
this core flow change is interesting but it doesn’t correspond to any significant change in LoD
it happened about 10 years before the LoD abruptly dropped in about 2020
(and ther…

@fanf@mendeddrum.org
2026-05-25 14:42:13

from my link log —
ELF statifier: create a static executable from a binary and its libraries.
statifier.sourceforge.net/
saved 2020-07-13

@NFL@darktundra.xyz
2026-05-08 01:26:26

Ex-49ers WR Jauan Jennings agrees to free-agent deal with Vikings nytimes.com/athletic/7088706/2

@roelgrif@mstdn.social
2026-06-05 08:26:59

De #pec focust onmiddellijk op het functioneren van het OMT. Gaan ze nu echt de miscommunicaties van het RIVM in februari 2020 geheel overslaan?

@cowboys@darktundra.xyz
2026-06-14 02:26:08

Former Cowboys DL Aldon Smith dies at 36 cowboyswire.usatoday.com/story

@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

@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
2026-05-09 08:42:02

from my link log —
GNU Recutils: a database management system using human-readable text files.
labs.tomasino.org/gnu-recutils/
saved 2020-01-26