Tootfinder

Convergence of Normal Form Power Series for Infinite-Dimensional Lie Pseudo-Group Actions
Peter J. Olver, Masoud Sabzevari, Francis Valiquette
https://arxiv.org/abs/2506.08869

Convergence of Normal Form Power Series for Infinite-Dimensional Lie Pseudo-Group Actions
We prove the convergence of normal form power series for suitably nonsingular analytic submanifolds under a broad class of infinite-dimensional Lie pseudo-group actions. Our theorem is illustrated by a number of examples, and includes, as a particular case, Chern and Moser's celebrated convergence theorem for normal forms of real hypersurfaces. The construction of normal forms relies on the equivariant moving frame method, while the convergence proof is based on the realization that the normal …

🛡️ DAY 2 at GÉANT #SecurityDays | “Cybersecurity isn’t just about tech—it’s about the people behind it.”
From AI’s growing role in security to crisis management, human factors, and compliance, Day 2 was packed with deep insights.
Highlights: AI challenges, crisis response through collaboration, and building a strong security culture with people at the center.
💡 What’s been y…

The South Coast Air Quality Management District will hold a public hearing Friday on two proposed regulations designed to limit key pollutants that form smog.
If adopted, the rules would phase out the sale of gas-powered furnaces and water heaters in the region.
Officials say the plan is crucial for reducing air pollution and improving public health, while opponents fear higher consumer costs.

Regulators seek to phase out gas-powered appliances in Southern California
The South Coast Air Quality Management District is poised to vote on regulations that would limit emissions of nitrogen oxides — the key pollutants that form smog.

Just a confirmation that Tesla boycotts work. New Republic reports that Musk lost a quarter of his fortune with the stock price drop. the current price is being artificially pumped up at all costs, but this can't last for another quarter as sales are plummeting.
https://newrepublic.com/post/19…

Elon Musk Lost Boatload of Money in Trump’s First 100 Days
Here’s one thing to celebrate from Trump’s first 100 days in office.

"The world is full of darkness. So much is going wrong. Experts agree that America has succumbed to right-wing authoritarianism; call it fascism or something else, these are extraordinarily difficult times.
This post is a break from all of that. At least kind of.
In this piece, I will try and convince you that Doctor Who is the best TV show ever made, explain to you why it matters, and why it’s particularly important in our current context. In a time when cruelty and fear dominate headlines, it’s worth celebrating a show that insists on the power of kindness, intellect, and hope."
#DoctorWho
https://werd.io/2025/doctor-who-is-the-best-show-ever-made-heres-why

✨ Spring SIGs wrapped! ✨
From Prague to Paris to Ispra, 4 GÉANT Special Interest Groups (SIGs) met to explore AI, Time & Frequency networks, service strategy development, and network operations.
Spring days packed with great ideas, useful insights, new collaborations, and our beloved Lightning Talks.
👏 Big thanks to CESNET, RENATER, EC JRC & all who joined in-person and online.
Catch up on all the highlights and takeaways here 👉

GÉANT Community Programme | GÉANT CONNECT Online
The GÉANT community programme supports research and education through the activities of Special Interest Groups and Task Forces and connects academia, the business community and governmental organisations.

My Advisor, Her AI and Me: Evidence from a Field Experiment on Human-AI Collaboration and Investment Decisions
Cathy (Liu), Yang, Kevin Bauer, Xitong Li, Oliver Hinz
https://arxiv.org/abs/2506.03707

My Advisor, Her AI and Me: Evidence from a Field Experiment on Human-AI Collaboration and Investment Decisions
Amid ongoing policy and managerial debates on keeping humans in the loop of AI decision-making, we investigate whether human involvement in AI-based service production benefits downstream consumers. Partnering with a large savings bank in Europe, we produced pure AI and human-AI collaborative investment advice, passed it to customers, and examined their advice-taking in a field experiment. On the production side, contrary to concerns that humans might inefficiently override AI output, we find t…

Post-processing of wind gusts from COSMO-REA6 with a spatial Bayesian hierarchical extreme value model
Philipp Ertz, Petra Friederichs
https://arxiv.org/abs/2505.22182

Post-processing of wind gusts from COSMO-REA6 with a spatial Bayesian hierarchical extreme value model
The aim of this study is to provide a probabilistic gust analysis for the region of Germany that is calibrated with station observations and with an interpolation to unobserved locations. To this end, we develop a spatial Bayesian hierarchical model (BHM) for the post-processing of surface maximum wind gusts from the COSMO-REA6 reanalysis. Our approach uses a non-stationary extreme value distribution for the gust observations, with parameters that vary according to a linear model using COSMO-RE…

A seasonal to decadal calibration of 1990-2100 eastern Canadian freshwater discharge simulations by observations, data models, and neural networks
Richard E. Danielson, Minghong Zhang, Jo\"el Chass\'e, Will Perrie
https://arxiv.org/abs/2506.05261

A seasonal to decadal calibration of 1990-2100 eastern Canadian freshwater discharge simulations by observations, data models, and neural networks
A configuration of the NCAR WRF-Hydro model was sought using well established data models to guide the initial hydrologic model setup, as well as a seasonal streamflow post-processing by neural networks. Discharge was simulated using an eastern Canadian river network at two-km resolution. The river network was taken from a digital elevation model that was made to conform to observed catchment boundaries. Perturbations of a subset of model parameters were examined with reference to streamflow fr…