Tootfinder

I am against any nationalism, even in the guise of mere patriotism. Privileges based on position and property have always seemed to me unjust and pernicious, as did any exaggerated personality cult.
- Albert Einstein, My Credo, 1932
https://youtube.com/watch?v=9nRbyxVx3o0&si=hFh2vIVO_wqKkydM

Rust vs. C for Python Libraries: Evaluating Rust-Compatible Bindings Toolchains
Isabella Basso do Amaral (University of S\~ao Paulo), Renato Cordeiro Ferreira (University of S\~ao Paulo, Jheronimus Academy of Data Science, Technical University of Eindhoven, Tilburg University), Alfredo Goldman (University of S\~ao Paulo)
https://

Rust vs. C for Python Libraries: Evaluating Rust-Compatible Bindings Toolchains
The Python programming language is best known for its syntax and scientific libraries, but it is also notorious for its slow interpreter. Optimizing critical sections in Python entails special knowledge of the binary interactions between programming languages, and can be cumbersome to interface manually, with implementers often resorting to convoluted third-party libraries. This comparative study evaluates the performance and ease of use of the PyO3 Python bindings toolchain for Rust against ct…

I Move Therefore I Learn: Experience-Based Traversability in Outdoor Robotics
Miguel \'Angel de Miguel, Jorge Beltr\'an, Juan S. Cely, Francisco Mart\'in, Juan Carlos Manzanares, Alberto Garc\'ia
https://arxiv.org/abs/2507.00882

I Move Therefore I Learn: Experience-Based Traversability in Outdoor Robotics
Accurate traversability estimation is essential for safe and effective navigation of outdoor robots operating in complex environments. This paper introduces a novel experience-based method that allows robots to autonomously learn which terrains are traversable based on prior navigation experience, without relying on extensive pre-labeled datasets. The approach integrates elevation and texture data into multi-layered grid maps, which are processed using a variational autoencoder (VAE) trained on…

A Combinatorial Study of the Fixed Point Index
Jes\'us A. \'Alvarez L\'opez, Alejandro O. Majadas-Moure, David Mosquera-Lois
https://arxiv.org/abs/2505.24530

A Combinatorial Study of the Fixed Point Index
We introduce a theory of integration with respect to the fixed point index, offering a substantial improvement over previous approaches based on the Lefschetz number. This framework eliminates several restrictive assumptions -- such as the need for definability, openness, or f-invariance of subspaces -- thereby allowing broader applicability. We also present a natural combinatorial adaptation of the fixed point index that extends the combinatorial Lefschetz number. This extension yields new top…

Who can help me find out who owns the publication “Canada Minute”? I subscribed to this emailed newsletter, but now I would like to know who owns it, and I cannot find out. They also publish BC, Alberta, SK, and Manitoba Minute.

Influence of oxygen-defects on intraband terahertz conductivity of carbon nanotubes
Maksim Paukov, Shuang Sun, Dmitry Krasnikov, Arina Radivon, Gennady Komandin, Andrey Vyshnevyy, Emil Chiglintsev, Stanislav Colar, Kirill Brekhov, Kirill Zaytsev, Sergei Garnov, Nadzeya Valynets, Albert Nasibulin, Aleksey Arsenin, Valentyn Volkov, Alexander Chernov, Yan Zhang, Maria Burdanova

Influence of oxygen-defects on intraband terahertz conductivity of carbon nanotubes
The exceptional charge transport properties of single-walled carbon nanotubes (SWCNTs) enable numerous ultrafast optoelectronic applications. Modifying SWCNTs by introducing defects significantly impacts the performance of nanotube-based devices, making defect characterization crucial. This research tracked these effects in oxygen plasma-treated SWCNT thin films. Sub-picosecond electric fields of varying strengths and additional photoexcitation were used to assess how defects influence charge c…

Classification with Reject Option: Distribution-free Error Guarantees via Conformal Prediction
Johan Hallberg Szabadv\'ary, Tuwe L\"ofstr\"om, Ulf Johansson, Cecilia S\"onstr\"od, Ernst Ahlberg, Lars Carlsson
https://arxiv.org/abs/2506.21802

Classification with Reject Option: Distribution-free Error Guarantees via Conformal Prediction
Machine learning (ML) models always make a prediction, even when they are likely to be wrong. This causes problems in practical applications, as we do not know if we should trust a prediction. ML with reject option addresses this issue by abstaining from making a prediction if it is likely to be incorrect. In this work, we formalise the approach to ML with reject option in binary classification, deriving theoretical guarantees on the resulting error rate. This is achieved through conformal pred…

"In old times, and also in our time among the Indian tribes, psychedelic substances were considered sacred and they were used with the right attitude and in a ritual and spiritual context. And what a difference if we compare it with the careless and irresponsible use of LSD in the streets and in the discotheques of New York City and everywhere in the West. It is a tragic misunderstanding of the nature and the meaning of these kinds of substances."
— Albert Hofmann

Online design of experiments by active learning for nonlinear system identification
Kui Xie, Alberto Bemporad
https://arxiv.org/abs/2506.21754 https://

Online design of experiments by active learning for nonlinear system identification
We investigate the use of active-learning (AL) strategies to generate the input excitation signal at runtime for system identification of linear and nonlinear autoregressive and state-space models. We adapt various existing AL approaches for static model regression to the dynamic context, coupling them with a Kalman filter to update the model parameters recursively, and also cope with the presence of input and output constraints. We show the increased sample efficiency of the proposed approache…

NuSTAR and XMM-Newton Observations of PSR J1930 1852 and Its Pulsar Wind Nebula
J. A. J. Alford, G. -B. Zhang, J. D. Gelfand
https://arxiv.org/abs/2506.22409

NuSTAR and XMM-Newton Observations of PSR J1930+1852 and Its Pulsar Wind Nebula
Synchrotron X-ray emission from a pulsar wind nebula (PWN) is a sensitive probe of its magnetic field and high-energy particle population. Here we analyze contemporaneous NuSTAR and XMM-Newton observations of the PWN G54.1+0.3, powered by pulsar PSR J1930+1852. We also present a preliminary timing analysis of the central pulsar PSR J1930+1852 and analyze its X-ray pulse profiles in different energy bands. We detect X-ray emission from the combined pulsar and PWN system up to $\approx70$ keV, wh…