Tootfinder

L’#UNIL vient de publier son rapport annuel 2023.
https://wp.unil.ch/rapport-annuel/

This https://arxiv.org/abs/2403.05464 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_mat…

Generalized Yang Poisson Models on Canonical Phase Space
We discuss the generalized Yang Poisson models. We construct generalizations of the Yang Poisson algebra related to $\mathfrak{o}(1,5)$ algebra discussed by Meljanac and Mignemi (2023). The exact realizations of this generalized algebra on canonical phase space are presented and the corresponding differential equations are solved in simple cases. Furthermore, we discuss the Poisson algebras related to $\mathfrak{o}(3,3)$ and $\mathfrak{o}(2,4)$ algebras.

A fractional approach to strain-gradient plasticity: beyond core-radius of discrete dislocations
Stefano Almi, Maicol Caponi, Manuel Friedrich, Francesco Solombrino
https://arxiv.org/abs/2406.08023

A fractional approach to strain-gradient plasticity: beyond core-radius of discrete dislocations
We derive a strain-gradient theory for plasticity as the $Γ$-limit of discrete dislocation fractional energies, without the introduction of a core-radius. By using the finite horizon fractional gradient introduced by Bellido, Cueto, and Mora-Corral of 2023, we consider a nonlocal model of semi-discrete dislocations, in which the stored elastic energy is computed via the fractional gradient of order $1-α$. As $α$ goes to $0$, we show that suitably rescaled energies $Γ$-converge to the macros…

This is the kind of thing that the D-party should be advocating rather than quietly murmuring about firearms in ways to avoid annoying gun nut absolutists.
California Becomes First State in America to Call for Constitutional Convention on Right to Safety

#Kronkorken sammeln für #Bäume in #Berliner Parks

This is the kind of thing that the D-party should be advocating rather than quietly murmuring about firearms in ways to avoid annoying gun nut absolutists.
California Becomes First State in America to Call for Constitutional Convention on Right to Safety

Stephen Wolfe, an evangelical Presbyterian, advocates an ethnically uniform nation
ruled by a "Christian prince"
with the power to punish blasphemy and false religion.
Wolfe veers chapter by chapter between close readings of often obscure Reformation theologians
and mostly unsourced screeds against the dangers of feminist "gynocracy" and immigrant invasion.
For Wolfe, the nationalism part of Christian nationalism is synonymous with ethnicity…

Stephen Wolfe Makes a Segregationist Case for 'Christian Nationalism'
The Case for Christian Nationalism' advocates for an ethnically uniform nation ruled by a "Christian prince."

This https://arxiv.org/abs/2402.09053 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_mat…

Cartesian products of two $CR$ sets
The notions of CR set is intimately related with the generalized van der Waerden's theorem. In this article, we prove the product of two CR sets is again a CR set. This answers [Question 4.2., N. Hindman, H. Hosseini, D. Strauss, and M. Tootkaboni: Combinatorially rich sets in arbitrary semigroups, Semigroup Forum, 107 (2023), 127-143.] . We use combinatorial arguments to prove our result.

This https://arxiv.org/abs/2406.05281 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csRO_…

Lessons from the Cruise Robotaxi Pedestrian Dragging Mishap
A robotaxi dragged a pedestrian 20 feet down a San Francisco street on the evening of October 2, 2023, coming to rest with its rear wheel on that woman's legs. The mishap was complex, involving a first impact by a different, human-driven vehicle. The following weeks saw Cruise stand down its road operations amid allegations of withholding crucial mishap information from regulators. The pedestrian has survived her severe injuries, but the robotaxi industry is still wrestling with the aftermath. …

This https://arxiv.org/abs/2403.05205 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csCY_…

Interoperability of the Metaverse: A Digital Ecosystem Perspective Review
The Metaverse is at the vanguard of the impending digital revolution, with the potential to significantly transform industries and lifestyles. However, in 2023, skepticism surfaced within industrial and academic spheres, raising concerns that excitement may outpace actual technological progress. Interoperability, recognized as a major barrier to the Metaverse's full potential, is central to this debate. CoinMarketCap's report in February 2023 indicated that of over 240 metaverse initiatives, mo…

Exact Sparse Representation Recovery in Signal Demixing and Group BLASSO
Marcello Carioni, Leonardo Del Grande
https://arxiv.org/abs/2406.09922 https://

Exact Sparse Representation Recovery in Signal Demixing and Group BLASSO
In this short article we present the theory of sparse representations recovery in convex regularized optimization problems introduced in (Carioni and Del Grande, arXiv:2311.08072, 2023). We focus on the scenario where the unknowns belong to Banach spaces and measurements are taken in Hilbert spaces, exploring the properties of minimizers of optimization problems in such settings. Specifically, we analyze a Tikhonov-regularized convex optimization problem, where $y_0$ are the measured data, $w$ …

Predicting Exoplanetary Features with a Residual Model for Uniform and Gaussian Distributions
Andrew Sweet
https://arxiv.org/abs/2406.10771 https://…

Predicting Exoplanetary Features with a Residual Model for Uniform and Gaussian Distributions
The advancement of technology has led to rampant growth in data collection across almost every field, including astrophysics, with researchers turning to machine learning to process and analyze this data. One prominent example of this data in astrophysics is the atmospheric retrievals of exoplanets. In order to help bridge the gap between machine learning and astrophysics domain experts, the 2023 Ariel Data Challenge was hosted to predict posterior distributions of 7 exoplanetary features. The …

This https://arxiv.org/abs/2403.05205 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csCY_…

Interoperability of the Metaverse: A Digital Ecosystem Perspective Review
The Metaverse is at the vanguard of the impending digital revolution, with the potential to significantly transform industries and lifestyles. However, in 2023, skepticism surfaced within industrial and academic spheres, raising concerns that excitement may outpace actual technological progress. Interoperability, recognized as a major barrier to the Metaverse's full potential, is central to this debate. CoinMarketCap's report in February 2023 indicated that of over 240 metaverse initiatives, mo…

This https://arxiv.org/abs/2406.03060 has been replaced.
initial toot: https://mastoxiv.page/@a…

Whistler waves in the quasi-parallel and quasi-perpendicular magnetosheath
In the Earth's magnetosheath (MSH), several processes contribute to energy dissipation and plasma heating, one of which is wave-particle interactions between whistler waves and electrons. However, the overall impact of whistlers on electron dynamics in the MSH remains to be quantified. We analyze 18 hours of burst-mode measurements from the Magnetospheric Multiscale (MMS) mission, including data from the unbiased magnetosheath campaign during February-March 2023. We present a statistical study …

This https://arxiv.org/abs/2306.00838 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_qbi…

The Brain Tumor Segmentation (BraTS-METS) Challenge 2023: Brain Metastasis Segmentation on Pre-treatment MRI
The translation of AI-generated brain metastases (BM) segmentation into clinical practice relies heavily on diverse, high-quality annotated medical imaging datasets. The BraTS-METS 2023 challenge has gained momentum for testing and benchmarking algorithms using rigorously annotated internationally compiled real-world datasets. This study presents the results of the segmentation challenge and characterizes the challenging cases that impacted the performance of the winning algorithms. Untreated b…

Predicting Exoplanetary Features with a Residual Model for Uniform and Gaussian Distributions
Andrew Sweet
https://arxiv.org/abs/2406.10771 https://…

Predicting Exoplanetary Features with a Residual Model for Uniform and Gaussian Distributions
The advancement of technology has led to rampant growth in data collection across almost every field, including astrophysics, with researchers turning to machine learning to process and analyze this data. One prominent example of this data in astrophysics is the atmospheric retrievals of exoplanets. In order to help bridge the gap between machine learning and astrophysics domain experts, the 2023 Ariel Data Challenge was hosted to predict posterior distributions of 7 exoplanetary features. The …

This https://arxiv.org/abs/2405.05301 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_qbi…

A design specification for Critical Illness Digital Twins to cure sepsis: responding to the National Academies of Sciences, Engineering and Medicine Report: Foundational Research Gaps and Future Directions for Digital Twins
On December 15, 2023, The National Academies of Sciences, Engineering and Medicine (NASEM) released a report entitled: Foundational Research Gaps and Future Directions for Digital Twins. The ostensible purpose of this report was to bring some structure to the burgeoning field of digital twins by providing a working definition and a series of research challenges that need to be addressed to allow this technology to fulfill its full potential. In the work presented herein we focus on five specifi…