Tootfinder

The Republican Majority on the Senate Banking Committee released a press release Friday confirming that they were intentionally eliminating
the “duplicative Office of Financial Research (OFR)”.
According to sources I’ve talked to in the Senate, Republican committee members have shown little concern with the elimination of the Office of Financial Research.
They also seem aware of the concerns over SOFR, because both their “one pager” and “section by section” documents clai…

The “One Big Beautiful Bill Act” Eliminates the Office of Financial Research—Threatening the Stability of the Treasury Market
Early last week I started working on a piece on why the Federal Reserve didn’t step in during the Trump Tariff Financial Panic. The basic idea of that piece is simply that “repo rates”- the interest rate at which you can, in essence, borrow funds with treasury securities

From Press Progress
Ottawa Police Deny Inviting Convoy Figure to Help Them With Anti-LGBTQ Protest at Elementary School
Police face calls for investigation after ‘convoy church’ pastor tells city councillors he was ‘invited’ to help manage aggressive protests
by Luke LeBrun, Editor
May 16, 2025

Ottawa Police Deny Inviting Convoy Figure to Help Them With Anti-LGBTQ+ Protest at Elementary School
Police face calls for investigation after ‘convoy church’ pastor tells city councillors he was ‘invited’ to help manage aggressive protests

Neural-operator element method: Efficient and scalable finite element method enabled by reusable neural operators
Weihang Ouyang, Yeonjong Shin, Si-Wei Liu, Lu Lu
https://arxiv.org/abs/2506.18427

Neural-operator element method: Efficient and scalable finite element method enabled by reusable neural operators
The finite element method (FEM) is a well-established numerical method for solving partial differential equations (PDEs). However, its mesh-based nature gives rise to substantial computational costs, especially for complex multiscale simulations. Emerging machine learning-based methods (e.g., neural operators) provide data-driven solutions to PDEs, yet they present challenges, including high training cost and low model reusability. Here, we propose the neural-operator element method (NOEM) by s…

Apple Intelligence in Kurzbefehlen: Das können die Apple-Modelle unter iOS 26
Die Shortcuts-App von Apple bekommt KI-Elemente. Der Teufel steckt allerdings in den Details.
https://ww…

Advocacy works, if done right. Find out how investigations by WorkerRights Consortium led to a joint effort along the supply chain to eliminate gender-based violence in Indonesia’s garment factories – more in my feature with TriplePundit.
https://www.triplepundi…

Landmark Gender Justice Agreement for Indonesian Garment Workers Shows the Power of Research and Campaigning
Last year, two garment factories in Indonesia signed a gender justice agreement aimed at eliminating gender-based violence with a union-led program. Now, the organizers behind it want to see the model spread across the country.

Affine semigroups without consecutive small elements
J. C. Rosales, R. Tapia-Ramos, A. Vigneron-Tenorio
https://arxiv.org/abs/2506.17152 https://

Affine semigroups without consecutive small elements
An $\mathcal{A}$-semigroup is a numerical semigroup without consecutive small elements. This work generalizes this concept to finite-complement submonoids of an affine cone $\mathcal{C}$. We develop algorithmic procedures to compute all $\mathcal{A}$-semigroups with a given Frobenius element (denoted by $\mathcal{A}(f)$), and with fixed Frobenius element and multiplicity. Moreover, we analyze the $\mathcal{A}(f)$-systems of generators. Furthermore, we study $\mathcal{A}$-numerical semigroups wi…

Versatile Absorption Modeling for Transmissive Optical Elements Using Ray Tracing and Finite Element Analysis
Mark Kurcsics, Peter Eberhard
https://arxiv.org/abs/2506.18752

Versatile Absorption Modeling for Transmissive Optical Elements Using Ray Tracing and Finite Element Analysis
Emerging quality requirements in modern optical systems increase the need for accurate simulation and compensation of disturbances. One key disturbance in high-power laser applications results from thermal loading due to absorption. This paper presents a flexible modeling approach for absorption based on ray tracing, where point heat sources are defined along ray paths. In addition, several methods for mapping these point heat sources along the ray path to the finite element mesh are introduced…

A residual a posteriori error estimate for the Stabilization-free Virtual Element Method
Stefano Berrone, Andrea Borio, Davide Fassino, Francesca Marcon
https://arxiv.org/abs/2506.17947

A residual a posteriori error estimate for the Stabilization-free Virtual Element Method
In this work, we present the a posteriori error analysis of Stabilization-Free Virtual Element Methods for the 2D Poisson equation. The abscence of a stabilizing bilinear form in the scheme allows to prove the equivalence between a suitably defined error measure and standard residual error estimators, which is not obtained in general for stabilized virtual elements. Several numerical experiments are carried out, confirming the expected behaviour of the estimator in the presence of different mes…

Conservative data-driven finite element formulation
Adriana Kulikov\'a (Glasgow Computational Engineering Centre), Andrei G. Shvarts (Glasgow Computational Engineering Centre), {\L}ukasz Kaczmarczyk (Glasgow Computational Engineering Centre), Chris J. Pearce (Glasgow Computational Engineering Centre)
https://arxiv.org/abs/25…

Conservative data-driven finite element formulation
This paper presents a new data-driven finite element framework derived with mixed finite element formulation. The standard approach to diffusion problems requires the solution of the mathematical equations that describe both the conservation law and the constitutive relations, where the latter is traditionally obtained after fitting experimental data to simplified material models. To exploit all available information and avoid bias in the material model, we follow a data-driven approach. While …

A nodal basis for the $C^1$-$P_{33}$ finite elements on 5D simplex grids
Jun Hu, Shangyou Zhang
https://arxiv.org/abs/2506.17961 https://

A nodal basis for the $C^1$-$P_{33}$ finite elements on 5D simplex grids
We construct a nodal basis for the 5-dimensional $C^1$ finite element space of polynomial degree $33$ on simplex grids, where the finite element functions are $C^1$ on the 6 4D-simplex faces, $C^2$ on the 15 face-tetrahedra, $C^4$ on the 20 face-triangles, $C^8$ on the 15 edges, and $C^{16}$ at the 6 vertices, of a 5D simplex.