Tootfinder

Falcons, Kyle Pitts agree to 3-year contract extension: Reports https://www.nytimes.com/athletic/7222929/2026/06/23/falcons-kyle-pitts-agree-to-3-year-contract-extension-reports/

Finished up with the build, turned out pretty well. I do wish I had some quieter fans, but considering the space constraints I'm happy that they work as well as they do. The 240mm AIO keeps CPU cool enough though I worry that the Radeon 7900XT is going to catch fire considering airflow, but it was well-behaved while testing it out.
#steamMachine

#SolveSpace is supremely suited to quickly do some technical drawings. Handed this to our institute's machinist and they were very happy to make me the part 😊
#CAD #3dDesign

Science Corp. received CE mark such that they may start selling their PRIMA retinal implant in Europe (implant originally developed by Pixium in France) #blindness

Science Corp. Announces European Commercial Launch of PRIMA, the Only Treatment to Restore Functional Central Vision to Patients with Geographic Atrophy Caused by Age-Related Macular Degeneration, a Leading Cause of Blindness | Science Corporation
Science Corporation is a clinical-stage medical technology company.

A Positron Range Correction with Texture Preservation Framework in PET Imaging
Nerea Encina-Baranda, Yifan Zheng, Jorge Cabello, Robert. J. Paneque-Yunta, Cindy. M. Solano-Cordero, Alejandro Lopez-Montes, Maurizio Conti, Joaquin. L. Herraiz
https://arxiv.org/abs/2606.23100 https://arxiv.org/pdf/2606.23100 https://arxiv.org/html/2606.23100
arXiv:2606.23100v1 Announce Type: new
Abstract: Positron range (PR) blurring is a fundamental resolution limitation in PET imaging with high-energy positron emitters such as 82Rb, causing contrast loss and spill-out effects across heterogeneous tissue interfaces. We propose PRC-TP, a positron range correction (PRC) framework with explicit texture preservation that decouples deterministic resolution recovery from stochastic texture restoration. A nnFormer-based neural network (NN) was trained on patient-derived Monte Carlo simulations to map PR-degraded 82Rb reconstructions to PR-free references using attenuation maps as anatomical context. However, this NN also significantly removed the noise in the images, which could impact some texture analysis methods or make the images look unrealistic. An auxiliary Noise2Noise model estimates that smoothing effect, enabling texture extraction and transfer to the PR-corrected prediction through Model-consistent Texture Re-Injection (MTRI). In simulated patients, PRC-TP preserved contrast recovery close to ground truth (GT) (98.96-99.04%) while restoring noise and CNR closer to the reference. The function-based MTRI formulation achieved near unity global texture amplitude agreement with GT (0.997 /- 0.011), reducing the input texture amplitude bias (0.951 /- 0.011). Radiomics analysis showed improved agreement with GT across texture-sensitive feature families. A clinical 82Rb evaluation showed trends consistent with simulations, including comparable contrast-ratio increase (10.18% vs. 10.99%) and restoration of texture suppressed by PRC. These results support PRC-TP as a practical framework for resolution recovery with acquisition-consistent texture preservation in PET imaging.
Submitted to IEEE TRPMS.
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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…

With Firefox 153 officially supporting WebAssembly.promising and its counterpart WebAssembly.Suspending[1], I've updated https://thi.ng/wasm-api to simplify the integration of hybrid JS/WASM async function calls, so you don't have to worry about manually creating these wrappers:

• Ja…

Generic, modular, extensible API bridge and infrastructure for hybrid JS & WebAssembly projects

Falcons, TE Kyle Pitts agree to 3-year contract extension https://www.nytimes.com/athletic/7222929/2026/06/23/falcons-kyle-pitts-extension-tight-end/

Finally finished Hardspace: Shipbreaker just now, and while it's a really great game, the ending is, as expected, disappointing. Not the gameplay part of it, that was great, but the failure to gesture towards anything beyond capitalism in these kinds of games/stories is especially galling when they set themselves up to tackle the issue head on. The high doses of rugged individualism in the ending cinematic are especially jarring. Like, isn't the whole point of the game that the workers deserve rights and freedom? But then you let us know that we specifically have earned our freedom through hard work... It can't be both.
Still a very good game overall, with a completely novel set of mechanics and overall world setup that doesn't center violent conflict as the main mechanic (even though violent conflict does play a part), which is a rarity these days.

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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