TourdeFrance is feitelijk voorbij, spanning is weg, na etappe 6 van de 21. Geen sportliefhebber kan hier blij mee zijn. Al kun je Pogacar niets verwijten.
#wielrennen #tourdefrance
AI CRM software startup Lightfield raised a $47M Series A led by a16z; formerly Tome, it had raised $80M across earlier Series A and B rounds (Alex Konrad/Upstarts Media)
https://www.upstartsmedia.com/p/ai-sales-startup-lightfield-raises-47m
We now have wildfire layers for maps… sigh.
Happy to see it, angry that we need it.
https://theradavist.com/ride-with-gps-new-wildfires-layer-see-fire-smoke-and-wind-before-you-ride
from my link log —
SLOG: cheating the low-latency vs. strict serializability tradeoff.
http://dbmsmusings.blogspot.com/2019/10/introducing-slog-cheating-low-latency.html
saved 2019-10-07
RE: https://framapiaf.org/@JBrickelt963/117054627440544048
Je sais pas trop depuis quand c'est indisponible (easybnf) car entre l'indisponibilité de europresse Š la suite de scramping IA et le renouvelleement tardif de mon Pass j'ai pas forc…
If you thought you would be missing the Tour de France in the UK this year. Highlights will be on Channel 5, but all stages of the race will be shown live on S4C at 2pm every day, with a highlights programme every night. Follow all the action on S4C, S4C Clic, BBC iPlayer and S4C’s YouTube. #TourDeFrance #LeTour
Euclid: Quick Data Release (Q1) -- Exploring the detailed visual morphology of galaxies in clusters
Mas-Buitrago, Kruk, O'Ryan, Nardone, La Marca, Awad, Baes, Fossati, G\'eron, Ghaffari, Girardi, Lintott, Sorce, Altieri, Durret, Pettorino, Irureta-Goyena, Simmons, Reerink, S\'anchez, Knapen, Shankar, Duran-Camacho, P\'erez-Mart\'inez, Walmsley, Auricchio, Baccigalupi, Baldi, Bardelli, Battaglia, Biviano, Bolzonella, Bonchi, Branchini, Brescia, Brinchmann, Camera, Ca\~nas-Herrera, Capobianco, Carbone, Carretero, Castellano, Castignani, Cavuoti, Cimatti, Colodro-Conde, Congedo, Conselice, Conversi, Copin, Costille, Courbin, Courtois, Cropper, Degaudenzi, De Lucia, Dole, Dubath, Dupac, Dusini, Ealet, Fabricius, Farina, Farinelli, Ferriol, Fosalba, Fotopoulou, Frailis, Franceschi, Fumana, Galeotta, George, Gillis, Giocoli, G\'omez-Alvarez, Gracia-Carpio, Grazian, Grupp, Gwyn, Holmes, Hook, Hormuth, Hornstrup, Huertas-Company, Jahnke, Jhabvala, Joachimi, Kermiche, Kiessling, Kubik, K\"ummel, Kunz, Kurki-Suonio, Le Brun, Ligori, Lilje, Lindholm, Lloro, Mainetti, Mansutti, Marggraf, Martinelli, Martinet, Marulli, Massey, Maurogordato, Medinaceli, Melchior, Meneghetti, Merlin, Meylan, Mora, Moresco, Moscardini, Munari, Neissner, Niemi, Nightingale, Padilla, Paltani, Pasian, Pedersen, Percival, Pezzotta, Pires, Polenta, Poncet, Popa, Pozzetti, Raison, Renzi, Rhodes, Riccio, Romelli, Roncarelli, Rusholme, Saglia, Sakr, S\'anchez, Sapone, Sartoris, Schneider, Schrabback, Scodeggio, Secroun, Sihvola, Simon, Sirignano, Sirri, Tallada-Cresp\'{i}, Taylor, Teplitz, Tereno, Tessore, Toft, Toledo-Moreo, Torradeflot, Tutusaus, Valiviita, Vassallo, Kleijn, Veropalumbo, Wang, Weller, Zacchei, Zamorani, Zerbi, Zucca, Macias-Perez, Sereno
https://arxiv.org/abs/2609.08962 https://arxiv.org/pdf/2609.08962 https://arxiv.org/html/2609.08962
arXiv:2609.08962v1 Announce Type: new
Abstract: Galaxy clusters provide unique laboratories for studying environmental effects on galaxy evolution. The morphology--density ($T$--$\Sigma$) and morphology--cluster-centric radius ($T$--$R$) relations trace how galaxy morphology is influenced by the environment, but previous studies at intermediate redshifts have been limited in both sample size and radial coverage. We use the Euclid Quick Data Release 1 (Q1) visual morphology catalogue to measure the $T$--$\Sigma$ and $T$--$R$ relations for smooth, featured-or-disc, and barred galaxies in known clusters at $0.2\leq z\leq 0.5$, extending this analysis to large cluster-centric distances ($3 R_{500c}$) and studying their dependence on stellar mass. Using photometric redshifts and stellar masses provided by Euclid, we identify 1754 cluster members within $1.5 R_{500c}$, distributed across 71 clusters. We classify the identified galaxies as smooth, featured-or-disc, or barred using the predicted vote fractions provided by the Zoobot deep learning foundation model in the Q1 visual morphology catalogue. We confirm the $T$--$\Sigma$ relation in all the stellar mass ranges studied, with a stronger influence of the cluster environment on galaxy morphology in the densest parts of the cluster and closer to the cluster centre. Beyond $1.5 R_{500c}$, the morphological segregation weakens, with featured-or-disc galaxies overtaking smooth galaxies at the lowest densities, consistent with the growing contribution of field interlopers in the cluster outskirts. For barred galaxies, we find a tentative decline of the bar fraction toward lower densities that is most pronounced for the most massive galaxies. In conclusion, our results show that the cluster environment drives a progressive transformation of galaxy morphology, with the loss of disc structure becoming more pronounced towards the cluster core, where environmental processes act most efficiently.
toXiv_bot_toot
🇺🇦 #NowPlaying on KEXP's #VarietyMix
The Art of Noise:
🎵 Dragnet (12" Mix)
#TheArtofNoise
$10M from 67 investors ... cool $150k each on avg. What a waste of money:
https://www.justice.gov/usao-sdny/pr/nft-startup-founder-charged-fraud
Just ran the indictment through an LLM, this was funny:
"Buried in the asset-dissipation paragra…