Im using case_when() quite a lot, case_match() is new to me: #rstats
Worth, which aims to help financial services onboard and underwrite SMBs, raised a $30M Series A led by Fulcrum Equity Partners, following a $25M seed round (Brian Contreras/Inc)
https://www.inc.com/brian-contreras/fintech-startup-stax-unic…
Cinema operators are relieved Paramount won WBD due to its support for theatrical releases, but skeptical about its plans to increase output and sustain windows (Rebecca Rubin/Variety)
https://variety.com/2026/film/news/warner-bros-s…
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.
toXiv_bot_toot
Lions GM Brad Holmes open to moving star RT Penei Sewell to LT: 'You always have that flexibility' https://www.nfl.com/news/lions-gm-brad-holmes-open-moving-penei-sewell-left-ackle-you-always-have-that-flexibility
RED (Ocassionally) 🔴
红 (有时) 🔴
📷 Zeiss IKON Super Ikonta 533/16
🎞️ Harman Red 125 (6x6)
#filmphotography #Photography #blackandwhite
I woke up angry today.
ICE spokesperson Lindsay Williams is a liar, who is bad at lying.
“Asked if the ICE officers chased Lopez, Williams said: ‘Chased? I wouldn’t say that. They followed him until he crashed.’”
Wouldn’t say that? How about: ICE was committing crime (their standard procedure), someone died, they’re the killers. Your people killed a school teacher, Williams.
Have the day you deserve, you apologist scum.
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.
toXiv_bot_toot
Gloom & Bloom IV ☁️🌺
黑暗绽放 IV ☁️ 🌺
📷 Zeiss IKON Super Ikonta 533/16
🎞️ Lucky SHD 400
#filmphotography #Photography #blackandwhite