Tootfinder

You know how you’re in the middle of a process and you refresh a web page and it loses state?
So that sucks.
With Kitten¹ – when using the new state-maintaining/class-based and event model-based component model – it’s easy to have flowing interfaces that animate between states, etc., that don’t lose state if you refresh the page (or open another tab).
What you can’t do on the Web, however, is restore the state of any cross-origin iframes. (As you have no visibility into th…

If you are new to organised left-wing politics, pick a flavour of revolutionary socialism.
This is my fave, it may not be yours but it's a great place to start learning what *you* believe or don't believe in.
https://marxist.com/manifesto-of-the-r

Manifesto of the Revolutionary Communist International
The following is the text of the Manifesto of the Revolutionary Communist International which, following an exhaustive discussion, was approved by a unanimous v

As many of you know, I am taking a class here at UNC on Personality.
One of the tests to determine personality in our book was so incredibly
useful and interesting, I just had to share it.
Answer each of the following items "true" or "false"
1. I think beavers work too hard.
2. I use shoe polish to excess.
3. God is love.
4. I like mannish children.
5. I have always been diturbed by the sight of Lincoln's ears.
6. I…

This is exactly the thing I wonder about. Was it shoved through over internal objections? Was it many teams’ separate good work stuck together too hastily? Was it the wrong kind of pressure from above, or bad taste from below, or what?
It’s frustrating because as a dev I catch glimpses of all the really fantastic engineering work folks at Apple are doing •inside• the box, and they’re feeling very little love for it right now because the •outside•is so clunky.
https://sfba.social/@scm/116296203532915798

On the spatial structure and intermittency of soot in a lab-scale gas turbine combustor: Insights from large-eddy simulations
Leonardo Pachano, Daniel Mira, Abhijit Kalbhor, Jeroen van Oijen
https://arxiv.org/abs/2602.23155 https://arxiv.org/pdf/2602.23155 https://arxiv.org/html/2602.23155
arXiv:2602.23155v1 Announce Type: new
Abstract: This work presents a numerical investigation of soot formation in the Cambridge lab-scale gas turbine combustor. Large-eddy simulations (LES) of a swirl-stabilized ethylene flame are performed using the flamelet generated manifold method coupled with a discrete sectional model to account for soot formation, growth, and oxidation. The study aims to elucidate the mechanism governing the spatial structure and intermittency of soot, supported by comparisons with experimental data. The predicted soot distribution agrees well with measurements, with peak concentrations near the bluff body. Flow recirculation is identified as the key mechanism driving soot accumulation in fuel-rich regions, where surface reactions dominate soot mass growth. Soot intermittency arises from fluctuations in the flow field driven by interactions between the flame front and the recirculation vortex. Two soot modeling approaches are evaluated, differing in their treatment of soot model quantities: the first approach employs on-the-fly computation of source terms (FGM-C), while the second uses fully pre-tabulated source terms (FGM-T). Their predictive performance and computational cost are compared in the context of unsteady, sooting flames in swirl-stabilized combustors.
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I was interested in #Meshcore, but then I came across the website of the Meshcore Switzerland Community. Greeted by AI generated pictures I was appalled, but then I found this:
Work in progress vibe coding project, don't trust this data!
Nope, thanks, I'm outa here.
#meshcore <…

Raiders GM Makes Feelings Clear on Maxx Crosby Situation https://heavy.com/sports/nfl/las-vegas-raiders/john-spytek-maxx-crosby-situation-update/

A minimal wake-vortex model explains formation flight of flapping birds
Olivia Pomerenk, Kenneth S. Breuer
https://arxiv.org/abs/2602.22043 https://arxiv.org/pdf/2602.22043 https://arxiv.org/html/2602.22043
arXiv:2602.22043v1 Announce Type: new
Abstract: Collective patterns of motion emerge across biological taxa: insects swarm, fish school, and birds flock. In particular, large migratory birds form strikingly ordered V-shaped formations, which experiments and direct numerical simulations have demonstrated provide substantial energetic benefits during long-distance flight. However, the precise aerodynamic and morphological mechanisms underlying these benefits remain unclear. In this work, we develop a reduced-order model of the wake-vortex interactions between two flapping birds flying in tandem. The model retains essential unsteady flapping dynamics while remaining computationally tractable. By optimizing over a six-dimensional state space, which comprises the follower's three-dimensional relative position and three independent flapping parameters, we identify the energetically optimal leader-follower configuration of northern bald ibises. The predicted optimum agrees quantitatively with live-bird measurements. Because of its simplicity, the model allows for direct interrogation of the physical mechanisms responsible for this optimum. In particular, it isolates precisely how the follower's wing kinematics interact with the leader's wake to enhance aerodynamic efficiency. The model predicts an 11% reduction in total mechanical power for a follower in formation flight -- consistent with experimental estimates -- and shows that this saving arises from reductions in both induced and profile power, dominated by decreased profile power enabled primarily through reduced flapping amplitude and, secondarily, reduced upstroke flexion. These results provide a mechanistic explanation for the structure of V-formations and offer new insight into the aerodynamic principles governing collective flight.
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