Tootfinder

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…

Shear alignment and tensorial Taylor--Aris dispersion of Brownian rods in a circular tube
Jingsen Feng, Xu Chu
https://arxiv.org/abs/2605.17614 https://arxiv.org/pdf/2605.17614 https://arxiv.org/html/2605.17614
arXiv:2605.17614v1 Announce Type: new
Abstract: Brownian rods disperse in pressure-driven flow through a coupling between axial shear, anisotropic translational diffusion and Jeffery--Brownian rotation. Classical tube Taylor--Aris theory treats transverse mixing as a scalar process, and existing passive-rod reductions have mainly addressed planar geometries. A circular tube adds two ingredients: the shear strength varies with radius and freely rotating rods sample a three-dimensional orientation space. We formulate a tensorial Taylor--Aris theory for dilute axisymmetric rods in Poiseuille flow by solving the local steady orientation Fokker--Planck problem and using its second moments to close a conservative axisymmetric transport equation. The long-wave reduction shows how each part of the diffusion tensor enters the one-dimensional limit. The radial diffusivity sets the invariant cross-sectional measure and the cell problem for the leading Taylor coefficient; the radial--axial component produces an inverse-P{\'e}clet correction to the migration speed; the axial component gives the direct diffusivity. The central mechanism is the streamwise alignment generated in high-shear annular layers. Alignment reduces radial diffusivity there, shifts the long-time sampling of the velocity profile toward slower streamlines, and amplifies the radial cell response. In strong shear this raises the Taylor coefficient by about \(23\%\) for aspect ratio \(p=1000\) and by about \(30\%\) in the infinitely slender limit, approaching the fully aligned bound. Direct simulations of the full tensorial equation validate the asymptotic coefficients. The same radial mixing operator also gives a Sturm--Liouville spectral model that tracks finite-time relaxation from different radial injections to the long-time Taylor regime.
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Wounds
(Some more entries from an ongoing series of photographs about the effects of climate change and increasing erosion in the Alps, here focused at very localized scales & occurrences to make them more concrete, communicable and less abstract...)
1) Exposed chunks of bedrock underneath the shrinking Langtauferer glacier
2) Heavily eroded forest in the Lechtal Alps
3) A dried out alpine lake in the Dolomites
4) Accumulated rock fall debris near Hahntennj…

Mission accomplished! Still a bunch of rough edges to work out, and I need to build equivalent blocks for other line codings as well as a "generic" ILA that just records waveforms.
But here's a simultaneous cross-trigger of the SERDES ILA and an analog waveform capture of the signal going into the SFP, (manually) deskewed and aligned.
Now imagine extending this to additional debug blocks within the FPGA.

Crazy that you can simulate DCF77 by inducing a signal into the receiver's antenna by playing back [some harmonic of(?)] the 77.5kHz signal with your phone's speaker. I now have my DCF77 clock showing the correct IST for Ireland!
Here's the app: https://play.google.com/store/apps/det

Charmed by Bennett Foddy's latest,
Baby Steps. Yet another awkward walking simulator like his brilliant QWOP. This is really reminding me of Crazy Climber, the classic '80s arcade game.

Looking at adding more games to https://warlock.nexus - which one should I build next?
American Truck Simulator
Arma 3
Arma Reforger
Assetto Corsa
DayZ
Icarus
Rust
Sons of the Forest
Squad
The Forest
Windrose

- Membership not associated with any other church or denomination
I'm just gonna throw this one away. Distinct membership in only one religious organization is a distinct property of western Christianity. It is not impossible within "Eastern" belief systems, for example, to simultaneously be a member of multiple faiths, and as such one could be a member of one or multiple other churches or denominations. Being both Buddhist and Christian, for example, is not necessarily strange *outside* of Christian supremacist societies.
But if you want your membership to be distinct, you do you. I'm not your dad. Probably. I mean, my kids aren't on social media yet and I don't know if they'll ever read this. But maybe I am your dad. I'm still not telling you what to do. Also, in that case, I love you.
Anyway, moving on.

I have never been a smoker of the devil's lettuce, so I don't understand this situation. Why, if you have paid many dollary-doos to be on a cruise, and extra to be in the special section, would you smoke the nastiest smelling skunk weed I've smelled since high school? On a better note, this was sunrise this morning. Ahh.. beautiful.

Precipitation diffusion downscaling and application to out-of-distribution simulations with and without stratospheric aerosol injection
Cameron Dong, James W. Hurrell, Elizabeth A. Barnes
https://arxiv.org/abs/2605.23776 https://arxiv.org/pdf/2605.23776 https://arxiv.org/html/2605.23776
arXiv:2605.23776v1 Announce Type: new
Abstract: Stratospheric aerosol injection (SAI), a possible climate engineering strategy where reflective particles are injected into the stratosphere, has been explored to mitigate global warming and its associated risks, such as the intensification of extreme precipitation events. However, current Earth system models (ESMs) often used to simulate SAI and other climate change scenarios are too coarse to properly assess such risks. Traditional statistical downscaling methods, used to project higher resolution impacts, may be biased and unrealistic. To address this, we train a deep learning diffusion downscaler to generate 0.25{\deg} contiguous United States (CONUS) daily precipitation using historical and future climate simulations from the Mesoscale Atmosphere-Ocean Interaction in Seasonal-to-Decadal Climate Prediction (MESACLIP) project, then apply the diffusion downscaler to out-of-distribution CESM2 simulations with and without SAI. The diffusion model generates realistic downscaled precipitation using either MESACLIP or CESM2 inputs. It also faithfully recreates the climate change projections of extreme precipitation in MESACLIP. Diffusion-downscaled projections of the future CESM2 SAI scenarios suggest that SAI could nearly cut in half the CONUS-average increase in yearly max precipitation, compared to the non-SAI scenario. However, there is considerable regional variation and internal variability, with SAI modeled to only slightly reduce increases in extreme precipitation frequency in the Mid Atlantic and the Pacific Northwest, but mitigating most intensification in other regions. Future application of diffusion downscaling to a wider variety of SAI scenarios would provide valuable insight into how proposed SAI strategies may affect precipitation variability on fine spatial scales for regional impact assessments.
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