Tootfinder

'vijf maanden cel, waarvan twee maanden voorwaardelijk, voor het beschieten van de politie'
In de toekomst meer mogelijkheden om bij uit de hand lopende demonstraties aan te kunnen pakken. Maar belangrijk is vooral eem bijzinnetje in de uitzending dat t OM er alles aam doet om de ernstige gevallen alsnog voor de rechter te krijgen.
Celstraf voor belagen agenten bij azc-protest in IJsselstein
https://www.rtl.nl/nieuws/binnenland/artikel/5604556/cel-belagen-politie-vuurwerk-rellen-ijsselstein

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…

Big "Refugees welcome" demonstration in Utrecht, just now. A counterweight to the 'spontaneous local' violent protests against asylum seekers organised by the extreme right, and used by their politicians to claim that 'the people' are against taking up refugees.

Three-Dimensional Velocity Analysis and Particle Size Dynamics from Multi-Site RGB-Photometry of Noctilucent Clouds
Oleg S. Ugolnikov, Olga Yu. Golubeva, Egor O. Ugolnikov
https://arxiv.org/abs/2605.21687 https://arxiv.org/pdf/2605.21687 https://arxiv.org/html/2605.21687
arXiv:2605.21687v1 Announce Type: new
Abstract: A method for measuring the altitude and particle size of noctilucent clouds, based on positioning and photometry from wide-angle three-color cameras, has been developed to determine the three velocity components, particle radius, and its derivative with respect to time for different cloud fragments. The updated method is applied to observational data of bright clouds during the summers of 2023-2025. Meridional motion of the cloud is found to be the principal factor driving the change in particle size. The effect of particle size evolution in the presence of a strong latitudinal temperature gradient is also studied.
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Austerität und Militarisierung https://www.german-foreign-policy.com/news/detail/10449

Just finished "Fustuk" by Robert Mgrdich Apelian. Without exaggeration, it is a true masterpiece, an absolutely stunning graphic novel about food, family, and magical contracts that reminds me of both Witch Hat Atelier and Young Bride's Stories. The truly impressive part is that Apelian is every bit as good an illustrator and storyteller as both Kamome Shirahama and Kaoru Mori.
In the author's note, Apelian says "So I asked to make the story I always craved growing up: a tale of Middle Eastern joy and magic that speaks to diasporic culture and how those of us within it relate to our two worlds." He succeeded at that goal abundantly, as far as I can tell, and has produced a truly impressive work.
Images are rough pictures of a few example pages showing very cool panel construction, lots of detail, and both dynamic action and expressive faces. I'm not going to spoil anything, but the second image here is one of the most powerful pages I've read in a while and the way it uses gutters demonstrates a beautiful mastery of the comics medium.
#AmReading #ReadingNow #Bookstodon

"Dynamic electric vehicle charging incentives induce large shifts in both the timing and location of charging.
Incentives designed to shift charging toward peak solar generation periods result in a 34% increase in midday charging."
https://www.sciencedirect.com/science/arti

Long-horizon prediction of three-dimensional wall-bounded turbulence with CTA-Swin-UNet and resolvent analysis
Bo Chen, Yitong Fan, Jie Yao, Weipeng Li
https://arxiv.org/abs/2605.17888 https://arxiv.org/pdf/2605.17888 https://arxiv.org/html/2605.17888
arXiv:2605.17888v1 Announce Type: new
Abstract: Long-horizon prediction of three-dimensional (3D) wall-bounded turbulence with machine-learning methods remains a challenging task, due to the rapid accumulation of autoregressive errors and the substantially computational cost. To address these challenges, we present a hybrid machine-learning framework, in which a channel-time-attention Swin-UNet (CTA-Swin-UNet) and a multi-time-scale fusion correction (MTFC) strategy are developed to predict the turbulent flow fields in a wall-parallel plane, with affordable computational cost. Then, 3D flow fields are reconstructed via a resolvent-based spectral linear stochastic estimation (SLSE), rooting from the predicted planar flow. Results show that the CTA-Swin-UNet outperforms the baseline models (LSTM, FNO and traditional Swin-UNet) in both single-step prediction and autoregressive rollouts, indicating the effectiveness of introducing the CTA module into the Swin-UNet architecture. At the same temporal interval, the CTA-Swin-UNet remains stable for approximately 150 rollout steps, while the baseline models fail within 20 to 50 rollout steps. After introducing the MTFC strategy, a longer horizon upto 300 steps is achieved. Using the resolvent-based SLSE reconstruction further recovers the 3D flow structures and energy spectral distributions from the predicted planar inputs, which demonstrates that the proposed framework provides an effective and computationally efficient approach for long-horizon autoregressive prediction of 3D wall-bounded turbulence.
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It’s been a brutal tactic deployed by local and federal law enforcement officials time and time again over the past year:
using teargas, rubber bullets and pepper spray to control protests outside ICE detention centers or during enforcement operations.
Now, a new report lays bare the scale of the use of these crowd-control weapons during
anti-immigration demonstrations across the US,
including hundreds of incidents that resulted in lasting and traumatic injuries.

ICE ‘Crowd Control’ Led to Blindings and Traumatic Brain Injuries
It’s been a brutal tactic deployed by local and federal law enforcement officials time and time again over the past year: using teargas, rubber bullets and pepper spray to control protests outside ICE detention centers or during enforcement operations. Now, a new report lays bare the scale of the use of these crowd-control weapons during anti-immigration demonstrations across the US, including hundreds of incidents that resulted in lasting and traumatic injuries.

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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