Tootfinder

«Data Broking — Apps für US-Militär beinhalten chinesischen und russischen Code:
Fast 40 Prozent der untersuchten Apps sammelten mehr Daten, als sie in den App-Stores angaben»
Wie jetzt, die haben das erst jetzt bemerkt?! Ach so, wenn ein Anderer dich aushorcht ist es schlimm aber wenn selber dann easy normalo!1!! Es sind einfach alle online Produkte.
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Apps für US-Militär beinhalten chinesischen und russischen Code
Fast 40 Prozent der untersuchten Apps sammelten mehr Daten, als sie in den App-Stores angaben

The ebuild: I need a openapi-schema-validator newer than 0.8 and older than 0.9.
#Gentoo #Portage: okay, how about we try to simultaneously install 0.7.2 and 0.9.0?

Was busy with family stuff but finally had a chance to look at the results of the ARF6 launch simulations with and without ground plane void on layer 4.
As with before - it's there, but not particularly large and probably fine to ignore. Return loss of both versions is better than -20 dB out to 23 GHz and better than -16 dB to 35 GHz.

A Simulation Methodology Testbed for Typhoon Sensitivity Analysis: Framework Development and Perturbation-Response Experiments with the Pangu Weather Model
Yuehua Peng, Yuchen Zhang, Qin Huang, Chengzhi Ye, Jingsong Yang
https://arxiv.org/abs/2605.21864 https://arxiv.org/pdf/2605.21864 https://arxiv.org/html/2605.21864
arXiv:2605.21864v1 Announce Type: new
Abstract: Understanding how typhoons respond to localized perturbations in their environmental fields is fundamental to assessing the limits of predictability and exploring the potential for track or intensity intervention. This study develops a dedicated simulation methodology testbed for typhoon sensitivity analysis by integrating the Pangu weather model, a high-precision AI forecasting system, with Proportional-Integral-Derivative (PID) closed-loop techniques. The testbed is constructed with modular functional blocks including a meteorological prediction module, an artificial perturbation input interface, a typhoon quantitative modeling module, and a PID closed-loop test module, implemented via a cross-platform MATLAB/ONNX technical framework. A Single-Input Single-Output (SISO) test system was built, with velocity and thermal perturbations set as the core inputs and typhoon track and intensity as the key output targets, to perform controlled perturbation-response experiments. The experiments reveal the feasible perturbation-response range, the parameter tuning behavior of the PID module, and the energy-scale response characteristics under different perturbation modes, and quantify the input-output coupling relationships of the test system. By constructing this testbed on an operational AI weather forecasting model, this study provides a framework that goes beyond idealized sensitivity studies typically validated only on low-order dynamical models. The testbed offers an expandable platform for investigating typhoon sensitivity to artificial environmental perturbations and provides a foundation for subsequent expansion toward multi-input multi-output architectures and advanced analysis strategies such as nonlinear PID or model predictive control.
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This is the most detailed picture of a human cell ever made 🧪
https://www.instagram.com/reel/DX1CGIZMKJs/?igsh=NTc4MTIwNjQ2YQ

Sam Bousaba on Instagram: "This is a single human cell. The white filament-like structures are microtubules, and the small colored particles are ribosomes. Your body contains on the order of ~37 trillion cells. Each cell functions like a highly organized, self-regulating factory operating continuously. There is no central “supervisor”—yet thousands of processes run in parallel with remarkable coordination. Every ribosome is constantly building proteins by linking amino acids together. In eukaryotic (human) cells, a ribosome typically adds about 5–10 amino acids per second (not ~20). Since a single cell can contain millions of ribosomes, protein production is massive—resulting in millions to tens of millions of peptide bonds formed per second per cell. The microtubules act as an internal transport network. Motor proteins such as kinesin move along these tracks, carrying cellular cargo. They “walk” step by step using ATP, at speeds of roughly 500–1000 nanometers per second. Each cell contains a dense network of these filaments, with many motor proteins moving simultaneously. Just beneath the cell membrane lies the actin cortex, a dynamic meshwork that helps maintain cell shape and resist mechanical stress. This structure is continuously remodeled—assembled and disassembled—allowing the cell to adapt to its environment. Now scale this up. Across ~37 trillion cells, each containing millions of ribosomes and hundreds to thousands of mitochondria, your body is constantly producing energy in the form of ATP. Total ATP turnover is enormous—roughly equivalent to your body weight in ATP recycled every day. The DNA in a single human cell, if stretched out, measures about 2 meters. Across all your cells, this would span distances comparable to traveling from Earth to the Sun and back many times (the exact multiple depends on assumptions about cell count and DNA packing). None of these processes are under conscious control. They began when you were a single cell and have continued uninterrupted ever since."
62K likes, 2,387 comments - scienceoftheuniverse on May 2, 2026: "This is a single human cell. The white filament-like structures are microtubules, and the small colored particles are ribosomes. Your body contains on the order of ~37 trillion cells. Each cell functions like a highly organized, self-regulating factory operating continuously. There is no central “supervisor”—yet thousands of processes run in parallel with remarkable coordination. Every ribosome is constantly building prot…

Examining the stellar-merger origin of the blue main sequence in the open cluster NGC\,3532 with N-body simulations
Khushboo K. Rao (Institute of Astronomy, National Central University, 300 Zhongda Road, Zhongli 32001 Taoyuan, Taiwan), Sambaran Banerjee (Helmholtz-Instituts f\"ur Strahlen- und Kernphysik)
https://arxiv.org/abs/2607.18681 https://arxiv.org/pdf/2607.18681 https://arxiv.org/html/2607.18681
arXiv:2607.18681v1 Announce Type: new
Abstract: Extended main-sequence turnoffs, extended main sequences, and split main sequences observed in the colour-magnitude diagrams of young and intermediate-age star clusters are now widely interpreted as the consequence of a distribution of stellar rotation rates among their intermediate-mass (1.5-1.8~M$_\odot$) members. However, the origin of the slowly rotating population that occupies the blue main sequence (bMS) remains uncertain, and stellar mergers have been proposed as one possible pathway. We investigate whether stellar mergers can account for the observed bMS population in the 330-Myr Galactic open cluster NGC 3532. We perform fourteen direct NBODY7 simulations spanning different initial cluster masses, radii, binary fractions, and binary orbital distributions. The simulations are selected to reproduce the present-day properties of NGC 3532 within the observational uncertainties, allowing us to estimate the expected number of merger products among its intermediate-mass main-sequence (MS) members. The cluster hosts $\approx 37\%$ bMS members among its intermediate-mass MS population, which are predominantly slow rotators. Despite this large bMS population, our simulations produce only a handful of MS-MS merger products, due to the cluster's low density and substantial mass loss during its evolution. Stellar mergers are unlikely to be the dominant formation channel for the observed slowly rotating bMS population in NGC 3532 and other disperse open clusters. Our results instead favour angular-momentum loss mechanisms operating before or shortly after the zero-age main sequence, such as pre-main-sequence star-disk interactions or tidal synchronization in low-mass ratio binaries.
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Simulated opinion polls to drive public policy — what could possibly go wrong!
In the name of saving costs and producing more polls (i.e. the double benefit of increased efficiency AND productivity), statistical truth (traditional polls) is being replaced with its derivative, producing statistical insights via a second layer of statistics and agents simulating known, pretrained demographic behaviors & preferences, instead of interviewing actual people. Yay!
It seems they're …

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.
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Dynamic Evolution of Pore-scale Heterogeneity and Transport Conditions Control Mineral Dissolution Regimes
Jinlei Wang, Yongfei Yang, Martin J. Blunt, Branko Bijeljic
https://arxiv.org/abs/2605.18223 https://arxiv.org/pdf/2605.18223 https://arxiv.org/html/2605.18223
arXiv:2605.18223v1 Announce Type: new
Abstract: Mineral dissolution in porous media is classically partitioned into static regimes within the Pe-Da plane, but this framework fails to capture the dissolution behavior of structurally complex rocks. Using three-dimensional micro-continuum simulations on micro-CT images of three rock samples spanning a wide range of pore-space heterogeneity, we track the joint evolution of dissolution morphology, velocity distribution, and reaction rate. Our results reveal that initial flow heterogeneity controls accessibility of reactants, thereby controlling the dissolution regime,reshaping them as dynamic trajectories. Channeled dissolution emerges as a simultaneous reorganization of structure and flow, and the resulting permeability-porosity relationship cannot be captured by a single power-law. The effective power-law exponent increases with heterogeneity and changes over time, reaching a maximum of 9.8, 18.0, and 40.9 for the three samples. Consequently, the effective reaction rate falls one to three orders of magnitude below the uniform dissolution prediction, with the suppression scaling with flow heterogeneity due to mass transfer limitations in channeled dissolution.
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"Solar-thermal interfacial desalination is a sustainable solution to meet the ever-increasing global freshwater demand. [...] pull a thin water film uphill across its surface, absorb nearly all solar radiation, and most importantly, automatically move the crystalized salts from the active regions to the passive regions for self-cleaning and salt collection. [...] simultaneously produces fresh water and harnesses nearly all salts directly from ocean water."

Additive-free and brine-discharge-free solar-thermal desalination with simultaneous complete mineral mining from ocean water - Light: Science & Applications
Solar-thermal interfacial desalination is a sustainable solution to meet the ever-increasing global freshwater demand. However, when treating actual ocean water, salt accumulation on the evaporator surfaces and brine discharge are major issues limiting the performance and posing environmental concerns. By utilizing a femtosecond laser surface processing technique, we create a multi-functional superwicking black metal (SWBM) panel that can pull a thin water film uphill across its surface, absorb…