Tootfinder

I’m concerned the Overlay Community Group has found a way to normalize overlays by influencing the W3C draft “Accessibility of machine learning and generative AI”:
https://adrianroselli.com/2022/09/accessibility-at-the-edg…

‘Accessibility at the Edge’ W3C CG Is an Overlay Smoke Screen
Another post where I lay it all out in the title. What follows is why I am making this assertion (with a handy table of contents). Timeline 26 May 2022 at 10:58am ET 26 May 2022 at 7:56pm ET 27 May 2022 at 7:38pm ET 28 May 2022 at 5:04pm…

Unconditional energy dissipation of Strang splitting for the matrix-valued Allen-Cahn equation
Chaoyu Quan, Tao Tang, Dong Wang
https://arxiv.org/abs/2508.03992 https://

Unconditional energy dissipation of Strang splitting for the matrix-valued Allen-Cahn equation
The energy dissipation property of the Strang splitting method was first demonstrated for the matrix-valued Allen-Cahn (MAC) equation under restrictive time-step constraints [J. Comput. Phys. 454, 110985, 2022]. In this work, we eliminate this limitation through a refined stability analysis framework, rigorously proving that the Strang splitting method preserves the energy dissipation law unconditionally for arbitrary time steps. The refined proof hinges on a precise estimation of the double-we…

A note on finding long directed cycles above the minimum degree bound in 2-connected digraphs
Jadwiga Czy\.zewska, Marcin Pilipczuk
https://arxiv.org/abs/2507.03807

A note on finding long directed cycles above the minimum degree bound in 2-connected digraphs
For a directed graph $G$, let $\mathrm{mindeg}(G)$ be the minimum among in-degrees and out-degrees of all vertices of $G$. It is easy to see that $G$ contains a directed cycle of length at least $\mathrm{mindeg}(G)+1$. In this note, we show that, even if $G$ is $2$-connected, it is NP-hard to check if $G$ contains a cycle of length at least $\mathrm{mindeg}(G)+3$. This is in contrast with recent algorithmic results of Fomin, Golovach, Sagunov, and Simonov [SODA 2022] for analogous questions in …

#idw Klimaschützende #Kohlenstoffsenken der EU-Wälder werden schwächer
#Wälder bedecken etwa 40 Prozent der EU-Landoberfläche. Zwischen 1990 und 2022 haben sie etwa 10 Prozent der von Menschen verursac…

Klimaschützende Kohlenstoffsenken der EU-Wälder werden schwächer

@… is this you? https://acoup.blog/2022/12/09/meet-a-historian-james-baillie-on-digital-h…

Meet a Historian: James Baillie on Digital Humanities and the Medieval Caucasus
Note from the Editor: I’m excited to feature another guest post with you all! This week we have James Baillie discussing how digital humanities and prosopographic methods can be used to bette…

Wealthfront, which uses AI to build investment portfolios, confidentially files for a US IPO; it was valued at $1.4B in 2022 during a failed acquisition by UBS (Prakhar Srivastava/Reuters)
https://www.reuters.com/technology/wealthf

Self-similar vorticity around the boundary and non-uniqueness of solutions to the two-dimensional Navier-Stokes equations in the half space
Motofumi Aoki, Yasunori Maekawa
https://arxiv.org/abs/2507.02338

Self-similar vorticity around the boundary and non-uniqueness of solutions to the two-dimensional Navier-Stokes equations in the half space
In this paper we show the non-uniqueness of mild solutions to the two-dimensional forced Navier-Stokes equations in the half space under the noslip boundary condition, following the program established by Albritton, Bru{é}, and Colombo in 2022. Our construction of non-unique solutions is based on the instability of self-similar vorticity at high Reynolds numbers which concentrates around the boundary at the initial time. In our construction, therefore, a kind of boundary layer has to be taken …

The Atacama Cosmology Telescope: DR6 Sunyaev-Zel'dovich Selected Galaxy Clusters Catalog
HSC Collaboration, M. Aguena, S. Aiola, S. Allam, F. Andrade-Oliveira, D. Bacon, N. Bahcall, N. Battaglia, E. S. Battistelli, S. Bocquet, B. Bolliet, J. R. Bond, D. Brooks, E. Calabrese, J. Carretero, S. K. Choi, L. N. da Costa, M. Costanzi, W. Coulton, T. M. Davis, S. Desai, M. J. Devlin, S. Dicker, P. Doel, A. J. Duivenvoorden, J. Dunkley, S. Ferraro, B. Flaugher, J. Frieman, P. A. Gallardo, …

The Atacama Cosmology Telescope: DR6 Sunyaev-Zel'dovich Selected Galaxy Clusters Catalog
We present the results of a search for galaxy clusters in the Atacama Cosmology Telescope (ACT) Data Release 6 (DR6) microwave sky maps covering 16293 square degrees in three frequency bands, using data obtained over the lifetime of the project (2008-2022). We report redshifts and mass estimates for 9977 clusters detected via their Sunyaev-Zel'dovich (SZ) effect with signal-to-noise greater than 4 at a 2.4 arcminute filter scale. The catalog includes 1166 clusters at redshifts greater than 1, a…

Time For 9 o'clock #HashTagGames hosted by @… Let's play!
#SummerHeatASongOrPoem

Understanding the Challenges and Promises of Developing Generative AI Apps: An Empirical Study
Buthayna AlMulla, Maram Assi, Safwat Hassan
https://arxiv.org/abs/2506.16453

Understanding the Challenges and Promises of Developing Generative AI Apps: An Empirical Study
The release of ChatGPT in 2022 triggered a rapid surge in generative artificial intelligence mobile apps (i.e., Gen-AI apps). Despite widespread adoption, little is known about how end users perceive and evaluate these Gen-AI functionalities in practice. In this work, we conduct a user-centered analysis of 676,066 reviews from 173 Gen-AI apps on the Google Play Store. We introduce a four-phase methodology, SARA (Selection, Acquisition, Refinement, and Analysis), that enables the systematic extr…

Disaster Informatics after the COVID-19 Pandemic: Bibliometric and Topic Analysis based on Large-scale Academic Literature
Ngan Tran, Haihua Chen, Ana Cleveland, Yuhan Zhou
https://arxiv.org/abs/2507.16820

Disaster Informatics after the COVID-19 Pandemic: Bibliometric and Topic Analysis based on Large-scale Academic Literature
This study presents a comprehensive bibliometric and topic analysis of the disaster informatics literature published between January 2020 to September 2022. Leveraging a large-scale corpus and advanced techniques such as pre-trained language models and generative AI, we identify the most active countries, institutions, authors, collaboration networks, emergent topics, patterns among the most significant topics, and shifts in research priorities spurred by the COVID-19 pandemic. Our findings hig…

External Evaluation of Discrimination Mitigation Efforts in Meta's Ad Delivery
Basileal Imana, Zeyu Shen, John Heidemann, Aleksandra Korolova
https://arxiv.org/abs/2506.16560 …

External Evaluation of Discrimination Mitigation Efforts in Meta's Ad Delivery
The 2022 settlement between Meta and the U.S. Department of Justice to resolve allegations of discriminatory advertising resulted is a first-of-its-kind change to Meta's ad delivery system aimed to address algorithmic discrimination in its housing ad delivery. In this work, we explore direct and indirect effects of both the settlement's choice of terms and the Variance Reduction System (VRS) implemented by Meta on the actual reduction in discrimination. We first show that the settlement terms…

Packers releasing Pro Bowl cornerback Jaire Alexander: Sources https://www.nytimes.com/athletic/6413409/2025/06/09/jaire-alexander-green-bay-packers-release/

Micah Parsons, Trevon Diggs defend one another, want to keep playing together https://www.dallascowboys.com/news/micah-parsons-trevon-diggs-defend-one-another-want-to-keep-playing-together

A metrization theorem for edge-end spaces of infinite graphs
Max Pitz
https://arxiv.org/abs/2507.16625 https://arxiv.org/pdf/2507.166…

A metrization theorem for edge-end spaces of infinite graphs
We prove that the edge-end space of an infinite graph is metrizable if and only if it is first-countable. This strengthens a recent result by Aurichi, Magalhaes Jr.\ and Real (2024). Our central graph-theoretic tool is the use of tree-cut decompositions, introduced by Wollan (2015) as a variation of tree decompositions that is based on edge cuts instead of vertex separations. In particular, we give a new, elementary proof for Kurkofka's result (2022) that every infinite graph has a tree-cut d…

High-Speed Boulders and the Debris Field in DART Ejecta
Tony L. Farnham (University of Maryland, Department of Astronomy), Jessica M. Sunshine (University of Maryland, Department of Astronomy, University of Maryland, Department of Geology), Masatoshi Hirabayashi (Daniel Guggenheim School of Aerospace Engineering, Georgia Institute of Technology), Carolyn M. Ernst (Johns Hopkins University Applied Physics Laboratory), R. Terik Daly (Johns Hopkins University Applied Physics Laboratory), …

High-Speed Boulders and the Debris Field in DART Ejecta
On 26 September 2022 the Double Asteroid Redirection Test (DART) spacecraft collided with Dimorphos, the moon of the near-Earth asteroid 65803 Didymos, in a full-scale demonstration of a kinetic impactor concept. The companion LICIACube spacecraft documented the aftermath, capturing images of the expansion and evolution of the ejecta from 29 to 243 s after the impact. We present results from our analyses of these observations, including an improved reduction of the data and new absolute calibra…

Stereo performance of SST-1M at different altitudes
Patrik \v{C}echvala (for the SST-1M collaboration), Vladim\'ir Novotn\'y (for the SST-1M collaboration), Ji\v{r}\'i Bla\v{z}ek (for the SST-1M collaboration), Ana Laura M\"uller (for the SST-1M collaboration), Jakub Jury\v{s}ek (for the SST-1M collaboration), Thomas Tavernier (for the SST-1M collaboration)

Stereo performance of SST-1M at different altitudes
The SST-1M telescopes are a pair of Imaging Atmospheric Cherenkov Telescopes (IACTs) that have been operating at the Ondřejov Observatory (510 m a.s.l.) in the Czech Republic since 2022. Optimized for detecting gamma rays in the energy range 1-300 TeV, they are capable of performing both mono and stereo observations. Despite challenging atmospheric conditions, SST-1M has successfully detected several galactic and extragalactic gamma-ray sources with energies reaching up to 200 TeV during its o…

Consent for Processing Personal Data in the Age of AI: Key Updates Across Asia-Pacific
https://fpf.org/blog/consent-for-processing-personal-data-in-the-age-of-ai-key-updates-across-asia-pacific/

Assessing the Influence of Pavement Performance on Road Safety Through Crash Frequency and Severity Analysis
Prathyush Kumar Reddy Lebaku, Lu Gao, Jingran Sun, Xingju Wang, Xuejian Kang
https://arxiv.org/abs/2506.16485

Assessing the Influence of Pavement Performance on Road Safety Through Crash Frequency and Severity Analysis
Road safety is impacted by a range of factors that can be categorized into human, vehicle, and roadway/environmental elements. This research explores the connection between pavement performance and road safety, particularly in relation to crash frequency and severity, using data from the Iowa Department of Transportation (DOT) for 2022. By merging crash data with pavement inventory data, we conduct a spatial analysis that incorporates the geographical coordinates of crash sites with the conditi…

Micah Parsons, Trevon Diggs defend one another, want to keep playing together https://www.dallascowboys.com/news/micah-parsons-trevon-diggs-defend-one-another-want-to-keep-playing-together

Unveiling Political Influence Through Social Media: Network and Causal Dynamics in the 2022 French Presidential Election
Ixandra Achitouv, David Chavalarias
https://arxiv.org/abs/2506.16449

Unveiling Political Influence Through Social Media: Network and Causal Dynamics in the 2022 French Presidential Election
During the 2022 French presidential election, we collected daily Twitter messages on key topics posted by political candidates and their close networks. Using a data-driven approach, we analyze interactions among political parties, identifying central topics that shape the landscape of political debate. Moving beyond traditional correlation analyses, we apply a causal inference technique: Convergent Cross Mapping, to uncover directional influences among political communities, revealing how some…

General-domain FC-based shock-dynamics solver I: Basic elements
Oscar P. Bruno, Daniel V. Leibovici
https://arxiv.org/abs/2506.16076 https://

General-domain FC-based shock-dynamics solver I: Basic elements
This contribution, Part I in a two-part article series, presents a general-domain version of the FC-SDNN (Fourier Continuation Shock-detecting Neural Network) spectral scheme for the numerical solution of nonlinear conservation laws, which is applicable under arbitrary boundary conditions and in general domains. Like the previous simple-domain contribution (Journal of Computational Physics X 15, (2022)), the present approach relies on the use of the Fourier Continuation method for accurate spec…

Observation of VER J2019 368 with the SST-1M stereoscopic system
Jakub Jury\v{s}ek (for the SST-1M Collaboration), Thomas Tavernier (for the SST-1M Collaboration), Ana Laura M\"uller (for the SST-1M Collaboration)
https://arxiv.org/abs/2507.16408

Observation of VER J2019+368 with the SST-1M stereoscopic system
The Single-Mirror Small Size Telescope (SST-1M) is a small Cherenkov telescope designed to detect gamma rays with energies more than about 1 TeV. The optical design of the SST-1M follows the Davies-Cotton concept to ensure good off-axis performance. In 2022, two SST-1M telescope prototypes were installed in Ondrejov, Czech Republic, and stereoscopic observations of astrophysical gamma-ray sources have been performed since then. VER J2019+368 is an unidentified very-high-energy (VHE) gamma-ray s…

An Optimized Franz-Parisi Criterion and its Equivalence with SQ Lower Bounds
Siyu Chen, Theodor Misiakiewicz, Ilias Zadik, Peiyuan Zhang
https://arxiv.org/abs/2506.06259

An Optimized Franz-Parisi Criterion and its Equivalence with SQ Lower Bounds
Bandeira et al. (2022) introduced the Franz-Parisi (FP) criterion for characterizing the computational hard phases in statistical detection problems. The FP criterion, based on an annealed version of the celebrated Franz-Parisi potential from statistical physics, was shown to be equivalent to low-degree polynomial (LDP) lower bounds for Gaussian additive models, thereby connecting two distinct approaches to understanding the computational hardness in statistical inference. In this paper, we pro…