Tootfinder

Flight training and alterations in cortical characteristics https://www.frontiersin.org/journals/human-neuroscience/articles/10.3389/fnhum.2025.1672307/full neural plasticity

Frontiers | Flight training and alterations in cortical characteristics
BackgroundPiloting is a highly specialized profession. The purpose of this study was to investigate the effects of longitudinal flight training on the cortic...

Want to understand the geography of Gaza? Read this thread by Mohammed.
(And then try and help his fundraiser, if you can, as he’s currently being forced to endure genocide and famine.)
👇
#Gaza #geography

Mohammed Shobair from Gaza 🍉 (@mohshbair@mastodon.social)
Attached: 1 image Several of my friends here asked me if I’m in a safe place, but I struggle to explain the geography of Gaza and people from overseas struggle to understand it. So I’m writing a thread. 🧶⬇️⬇️⬇️ #Gaza #FreeGaza #Palestine #FreePalestine #StopGenocide #GazaMutualAid 1/14

Hey everyone,
You know Joy. We run Gaza Verified together. But while I’m safely tucked away in Ireland, Joy is in Gaza, being forced to endure Israel‘s ongoing genocide and the resulting famine.
Last week, we raised $40,200 for families in Gaza stuck under the bombs in the North to help them evacuate South.
Joy got $0 of that.
She and her family need your help too.
Please take some time to donate to her fundraiser.
Joy is one of the most selfless people I …

Hypergeometry from $\mathrm{\widehat P}$-Symmetry: Feynman Integrals in One and Two Dimensions
Gwena\"el Ferrando, Florian Loebbert, Amelie Pitters, Sven F. Stawinski
https://arxiv.org/abs/2509.16305

Hypergeometry from $\mathrm{\widehat P}$-Symmetry: Feynman Integrals in One and Two Dimensions
Feynman integrals with generic propagator powers in one and two spacetime dimensions are investigated from various perspectives. In particular, we argue that the class of track integrals at any loop order is fixed by the recently found $\mathrm{\widehat P}$-symmetries of Yangian type. All track integrals up to six external points (and four loops) are bootstrapped explicitly as well as the full family of one-loop integrals at any multiplicity. Moreover, the triangle tracks at generic loop order,…

Unsere „sauberen“ Stromautos machen den Dreck halt vor fremden Haustüren: https://www.geo.de/wissen/-the-impact-of-nickel-mining-on-halmahera-island--von-mas-agung-wilis-yudha-baskoro_35584898-35584862.html…

"The Impact of Nickel Mining on Halmahera Island" von Mas Agung Wilis Yudha Baskoro
Seit 70 Jahren kürt der Wettbewerb Menschen, die einen besonderen Blick auf die Gegenwart eröffnen. Nun stehen die Siegerinnen und Sieger der sechs Weltregionen fest

Parallelizable Feynman-Kac Models for Universal Probabilistic Programming
Michele Boreale (University of Florence), Luisa Collodi (University of Florence)
https://arxiv.org/abs/2509.14092

Parallelizable Feynman-Kac Models for Universal Probabilistic Programming
We study provably correct and efficient instantiations of Sequential Monte Carlo (SMC) inference in the context of formal operational semantics of Probabilistic Programs (PPs). We focus on universal PPs featuring sampling from arbitrary measures and conditioning/reweighting in unbounded loops. We first equip Probabilistic Program Graphs (PPGs), an automata-theoretic description format of PPs, with an expectation-based semantics over infinite execution traces, which also incorporates trace weigh…

Now published in full final form:
Delayed auditory feedback increases speech production variability in typically fluent adults but has the opposite effect in stuttering adults
#Speech #Stuttering #Variability #DAF

“Famine is knocking forcefully at the doors of Southern Gaza… we are now standing in front of one of the soup kitchens operating in Khanyounis where families have been lining up since the early hours of the morning… many of them end up returning without receiving a meal sufficient to sustain them.”
– @…, reporting from Gaza

FoMEMO: Towards Foundation Models for Expensive Multi-objective Optimization
Yiming Yao, Fei Liu, Liang Zhao, Xi Lin, Qingfu Zhang
https://arxiv.org/abs/2509.03244 https://

FoMEMO: Towards Foundation Models for Expensive Multi-objective Optimization
Expensive multi-objective optimization is a prevalent and crucial concern in many real-world scenarios, where sample-efficiency is vital due to the limited evaluations to recover the true Pareto front for decision making. Existing works either involve rebuilding Gaussian process surrogates from scratch for each objective in each new problem encountered, or rely on extensive past domain experiments for pre-training deep learning models, making them hard to generalize and impractical to cope with…