Tootfinder

sp_high_school_new: High school dynamic contacts (2011-2012)
These datasets contain the temporal network of contacts between students in a high school in Marseilles, France. The first dataset gives the contacts of the students of three classes during 4 days in Dec. 2011, and the second corresponds to the contacts of the students of 5 classes during 7 days (from a Monday to the Tuesday of the following week) in Nov. 2012.
This network has 180 nodes and 45047 edges.
Tags: Soc…

Shocked, but not surprised:
The basic mood in the era of Trump.
Because of America’s arcane election rules, the guy who wants to abolish democratic self-government doesn’t even need a majority of the vote to get back to power.
Trump could not be clearer about his #authoritarian desires, explicitly declaring his intent to establish a

The Much Vaunted Guardrails Are Failing
Unless America’s leading institutions start acting accordingly, how can we expect enough people to believe the danger to democracy and fundamental rights is really all that severe?

Experts say the US government and tech companies are failing to mount a clear response to the theft of trade secrets by Chinese corporate and government spies (NBC News)
https://www.nbcnews.com/tech/innovation/lin…

Linwei Ding was a Google software engineer. He was also a prolific thief of trade secrets, say prosecutors.
The Linwei Ding case illustrates what U.S. officials say is an ongoing nightmare: Google and other top U.S. tech firms have had their pockets picked by China.

I went through 32 years worth of stuff again tonight at my parents house. It was tough, but also very freeing. Got rid of more stuff than I kept.
I have some things I’ll be asking @… if he wants or not, but then I’ll be pitching/selling/donating a lot of the rest.
I left feeling very nauseous and I think it’s just my mind coping with what I d…

#BikeStreak, Day 34: Mostly #quaxing, especially doing groceries. Not many kilometers yet (1.75km), but many kilograms: Frontbag 14kg, rear bag 10kg (beverages), #Brompton with

🧵 Thread: Re-plugging an old article that my friend, mentee and former colleague Mythri Prabhakara wrote about learning digital security over approximately 8 months while navigating her #neurodivergence and other intersectional identities, and a pandemic to boot.
(I’ve shared an archived link because the footnotes and text currently displaying are a bit weird.)

Learning digital security as a “non-techie”
A wooden duster came flying at 11-year-old me. I had misspelled my Venn diagram as “when diagram”, and the math teacher was teaching me an important lesson. Although not officially a part of the syllabus, my place within the classroom was clear. I was, as she called me, a pedhi.Kannada (Dravidian language spoken predominantly by the people of Karnataka in the southwestern

Search for a $\mu^ \mu^-$ resonance in four-muon final states at Belle II
Collaboration, Adachi, Adamczyk, Aggarwal, Ahmed, Aihara, Akopov, Aloisio, Ky, Asner, Atmacan, Aushev, Aversano, Ayad, Babu, Bae, Bahinipati, Bambade, Banerjee, Bansal, Barrett, Baudot, Baur, Beaubien, Becherer, Becker, Bennett, Bernlochner, Bertacchi, Bertemes, Bertholet, Bessner, Bettarini, Bhuyan, Bianchi, Bilka, Bilokin, Biswas, Bobrov, Bodrov, Bolz, Bozek, Bra\v{c}ko, Branchini, Browder, Budano, Bussino, Campajola, Cao, Casarosa, Cecchi, Cerasoli, Chang, Chang, Cheaib, Cheema, Cheon, Chilikin, Chirapatpimol, Cho, Cho, Cho, Choi, Choudhury, Corona, Cremaldi, Das, Dattola, De La Cruz-Burelo, De La Motte, De Nardo, De Nuccio, De Pietro, de Sangro, Destefanis, Dhamija, Di Canto, Di Capua, Dingfelder, Dole\v{z}al, Dong, Dorigo, Dort, Dreyer, Dubey, Dujany, Ecker, Eliachevitch, Epifanov, Feichtinger, Ferber, Ferlewicz, Fillinger, Finck, Finocchiaro, Fodor, Forti, Frey, Fulsom, Gabrielli, Ganiev, Garcia-Hernandez, Garg, Gaudino, Gaur, Gaz, Gellrich, Ghevondyan, Ghosh, Ghumaryan, Giakoustidis, Giordano, Giri, Glazov, Gobbo, Godang, Gogota, Goldenzweig, Gradl, Grammatico, Graziani, Greenwald, Gruberov\'a, Gu, Gudkova, Halder, Han, Hara, Hayashii, Hazra, Hearty, Hedges, Heidelbach, de la Cruz, Villanueva, Higuchi, Hoek, Hohmann, Horak, Hsu, Humair, Iijima, Inguglia, Ipsita, Ishikawa, Itoh, Iwasaki, Jackson, Jacobs, Jang, Ji, Jia, Jin, Joo, Junkerkalefeld, Kalita, Kandra, Kang, Karyan, Kawasaki, Keil, Kiesling, Kim, Kim, Kim, Kim, Kindo, Kinoshita, Kody\v{s}, Koga, Kohani, Kojima, Korobov, Korpar, Kovalenko, Kowalewski, Kraetzschmar, Kri\v{z}an, Krokovny, Kuhr, Kumar, Kumar, Kumar, Kumara, Kunigo, Kuzmin, Kwon, Lacaprara, Lai, Lam, Lanceri, Lange, Laurenza, Lautenbach, Leboucher, Le Diberder, Lee, Levit, Lewis, Li, Li, Li, Li, Libby, Liu, Liu, Liu, Liventsev, Longo, Lueck, Lyu, Ma, Maggiora, Maharana, Maiti, Maity, Mancinelli, Manfredi, Manoni, Mantovano, Marcantonio, Marcello, Marinas, Martel, Martellini, Martini, Martinov, Massaccesi, Masuda, Matsuoka, Matvienko, Maurya, McKenna, Mehta, Meier, Merola, Metzner, Milesi, Miller, Mirra, Miyabayashi, Miyake, Mizuk, Mohanty, Molina-Gonzalez, Mondal, Moneta, Moser, Mrvar, Mussa, Nakamura, Nakao, Nakazawa, Charan, Naruki, Narwal, Natkaniec, Natochii, Nayak, Nayak, Nazaryan, Niebuhr, Nishida, Ogawa, Onishchuk, Ono, Onuki, Oskin, Otani, Pakhlova, Panta, Pardi, Parham, Park, Park, Paschen, Passeri, Patra, Paul, Pedlar, Peschke, Pestotnik, Piccolo, Piilonen, Angioni, Podesta-Lerma, Podobnik, Pokharel, Praz, Prell, Prencipe, Prim, Purwar, Rados, Raeuber, Raiz, Rauls, Reif, Reiter, Remnev, Ripp-Baudot, Rizzo, Robertson, Roehrken, Roney, Rostomyan, Rout, Russo, Sanders, Sandilya, Santelj, Sato, Savinov, Scavino, Schmitt, Schwanda, Schwickardi, Seino, Selce, Senyo, Serrano, Sevior, Sfienti, Shan, Shen, Shi, Shillington, Shimasaki, Shiu, Shtol, Sibidanov, Simon, Singh, Skorupa, Sobie, Sobotzik, Soffer, Sokolov, Solovieva, Spataro, Spruck, Stari\v{c}, Stavroulakis, Stefkova, Stroili, Sumihama, Sumisawa, Sutcliffe, Svidras, Takizawa, Tamponi, Tanaka, Tanida, Tenchini, Tittel, Tiwary, Tonelli, Torassa, Trabelsi, Tsaklidis, Uchida, Ueda, Unger, Unno, Uno, Uno, Urquijo, Ushiroda, Vahsen, van Tonder, Varvell, Veronesi, Vinokurova, Vismaya, Vitale, Vobbilisetti, Volpe, Wach, Wakai, Wallner, Wang, Wang, Wang, Wang, Warburton, Watanuki, Wessel, Won, Xu, Yabsley, Yamada, Yan, Yang, Yelton, Yin, Yoshihara, Yuan, Yusa, Zani, Zhang, Zhilich, Zhou, Zhou, Zhukova
https://arxiv.org/abs/2403.02841 https://arxiv.org/pdf/2403.02841
arXiv:2403.02841v1 Announce Type: new
Abstract: We report on a search for a resonance $X$ decaying to a pair of muons in $e^{ }e^{-}\rightarrow \mu^ \mu^- X$ events in the 0.212-9.000 GeV/$c^{2}$ mass range, using 178 fb$^{-1}$ of data collected by the BelleII experiment at the SuperKEKB collider at a center of mass energy of 10.58 GeV. The analysis probes two different models of $X$ beyond the standard model: a $Z^{\prime}$ vector boson in the $L_{\mu}-L_{\tau}$ model and a muonphilic scalar. We observe no evidence for a signal and set exclusion limits at the 90\% confidence level on the products of cross section and branching fraction for these processes, ranging from 0.046 fb to 0.97 fb for the $L_{\mu}-L_{\tau}$ model and from 0.055 fb to 1.3 fb for the muonphilic scalar model. For masses below 6 GeV/$c^{2}$, the corresponding constraints on the couplings of these processes to the standard model range from 0.0008 to 0.039 for the $L_{\mu}-L_{\tau}$ model and from 0.0018 to 0.040 for the muonphilic scalar model. These are the first constraints on the muonphilic scalar from a dedicated search.

Drone strikes in Belgorod region leave seven dead, over 40 injured: https://benborges.xyz/2024/05/06/drone-strikes-in.html

The UK announces an extended indie movie tax credit for films that have budgets between £1M and £15M, along with business rates relief for big studios (Max Goldbart/Deadline)
https://deadline.com/2024/03/uk-government-budget-film-hi…

UK Gov’t Introduces Indie Movie Tax Relief Of 40% & Raises High-End TV & Film Credit
The Tax Credit For British Film High End TV has been raised by Jeremy Hunt

sp_high_school_new: High school dynamic contacts (2011-2012)
These datasets contain the temporal network of contacts between students in a high school in Marseilles, France. The first dataset gives the contacts of the students of three classes during 4 days in Dec. 2011, and the second corresponds to the contacts of the students of 5 classes during 7 days (from a Monday to the Tuesday of the following week) in Nov. 2012.
This network has 126 nodes and 28561 edges.
Tags: Soc…