Tootfinder

Sometimes hacking a computer means a whole different thing...
In this use, I'm actually hacking (with a hacksaw) the case apart to add an I/O shield (custom made) so I can fit an older motherboard that was not designed for this case.
And thank you to Gateway for making me do this by not using a removable shield and instead stamping every hole they needed and covering them with a sticker if they weren't on this model. 🤦‍♂️

Particle-hole symmetry in the pseudogap phase of moderately underdoped cuprate high temperature superconductors evidenced from joint density of states analysis
Niraj Kumar Shah, Junjing Zhao, Utpal Chatterjee
https://arxiv.org/abs/2509.12568

Particle-hole symmetry in the pseudogap phase of moderately underdoped cuprate high temperature superconductors evidenced from joint density of states analysis
In conventional superconductors, the energy scale associated with the superfluid stiffness is much larger compared to the pairing energy and hence, the superconducting transition temperature (Tc) is entirely dictated by the superconducting (SC) energy gap. The phase rigidity of the SC condensate in unconventional superconductors, on the other hand, can be low enough to enable destruction of superconductivity via phase incoherence and persistence of an energy gap even at the absence of macroscop…

A Systematic North-South asymmetry in the Steady-state Climate of rapidly-rotating Oblique Water Worlds
Y Wu, S. Portegies Zwart, H Dijkstra
https://arxiv.org/abs/2510.11904 htt…

A Systematic North-South asymmetry in the Steady-state Climate of rapidly-rotating Oblique Water Worlds
Planetary obliquity (axial tilt) plays an important role in regulating the climate evolution and habitability of water-covered planets. Despite the suspicion of large obliquities in several exoplanetary systems, this phenomenon remains hard to observe directly. We aimed to study the effect of mass, obliquity, and rotation on the steady state climate of water-covered planets. We simulated the climate evolution of such planets with varying obliquities, rotational speed, and mass using a general c…

Alone at the (seeming) end of the world. The Hochjoch Hospiz at the end of the Rofental, near the former confluence of three (formerly) major glaciers in the central Alps: Hintereisferner, Kesselwandferner and Hochjochferner. Vernagtferner is also nearby, which at times interrupted the outflow of these other glaciers, caused an ice lake to form, which when it burst led to widespread destruction in the valleys below (several times since the early 1600s). These days all of these glaciers are s…

"it is official U.S. policy to work toward regime change in European countries and to weaken or even destroy the European Union." — @…
I think this has been coming for a long time – since long before #Trump. The interests of the US and of an incr…

New U.S. security strategy calls for regime change in Europe
In this video, I discuss the new U.S. national security strategy, which, to put it mildly, is concerning for Europe. It's largely a document about how the Trump administration sees it as a requirement for continued transatlantic cooperation that MAGA movements come to power in European countries. Watch the

Distributionally robust approximation property of neural networks
Mihriban Ceylan, David J. Pr\"omel
https://arxiv.org/abs/2510.09177 https://arxiv.or…

Distributionally robust approximation property of neural networks
The universal approximation property uniformly with respect to weakly compact families of measures is established for several classes of neural networks. To that end, we prove that these neural networks are dense in Orlicz spaces, thereby extending classical universal approximation theorems even beyond the traditional $L^p$-setting. The covered classes of neural networks include widely used architectures like feedforward neural networks with non-polynomial activation functions, deep narrow netw…

Rimer Cardillo, Uruguayan-American artist exhibition "Deep Ecology" at the Plains Art Museum #Fargo #NorthDakota

Information-Computation Tradeoffs for Noiseless Linear Regression with Oblivious Contamination
Ilias Diakonikolas, Chao Gao, Daniel M. Kane, John Lafferty, Ankit Pensia
https://arxiv.org/abs/2510.10665

Information-Computation Tradeoffs for Noiseless Linear Regression with Oblivious Contamination
We study the task of noiseless linear regression under Gaussian covariates in the presence of additive oblivious contamination. Specifically, we are given i.i.d.\ samples from a distribution $(x, y)$ on $\mathbb{R}^d \times \mathbb{R}$ with $x \sim \mathcal{N}(0,\mathbf{I}_d)$ and $y = x^\top β+ z$, where $z$ is drawn independently of $x$ from an unknown distribution $E$. Moreover, $z$ satisfies $\mathbb{P}_E[z = 0] = α>0$. The goal is to accurately recover the regressor $β$ to small $\ell_2…

Transporting Predictions via Double Machine Learning: Predicting Partially Unobserved Students' Outcomes
Falco J. Bargagli-Stoffi, Emma Landry, Kevin P. Josey, Kenneth De Beckker, Joana E. Maldonado, Kristof De Witte
https://arxiv.org/abs/2509.12533

Transporting Predictions via Double Machine Learning: Predicting Partially Unobserved Students' Outcomes
Educational policymakers often lack data on student outcomes in regions where standardized tests were not administered. Machine learning techniques can be used to predict unobserved outcomes in target populations by training models on data from a source population. However, differences between the source and target populations, particularly in covariate distributions, can reduce the transportability of these models, potentially reducing predictive accuracy and introducing bias. We propose using…

We've had a couple decent snowfalls; now heading into the deep freeze. Forecast low temps this weekend -20F (-29C)