Tootfinder

Launch of #Axiom4: https://x.com/SpaceX/status/1937805773402460315. Video clip from ESA: https://www.youtube.com/watch?v=-WTTcuGJE4o. Docking planned for 11:00 UTC Thursday: https://www.nasa.gov/blogs/spacestation/2025/06/25/ax-4-orbiting-toward-station-as-expedition-73-studies-pharma-blood-pressure/

Harvard now offers free online courses on how the government is *supposed* to work.
https://pll.harvard.edu/subject/government

foodweb_baywet: Florida cypress wetlands food web (1998)
Networks of carbon exchanges among species in the cypress wetlands of South Florida. One network covers the wet and the other the dry season. Each node represents a taxon (similar to a species), and a directed edge indicates that one taxon uses another as food.
This network has 128 nodes and 2106 edges.
Tags: Biological, Food web, Weighted

EEG Foundation Challenge: From Cross-Task to Cross-Subject EEG Decoding
Bruno Aristimunha, Dung Truong, Pierre Guetschel, Seyed Yahya Shirazi, Isabelle Guyon, Alexandre R. Franco, Michael P. Milham, Aviv Dotan, Scott Makeig, Alexandre Gramfort, Jean-Remi King, Marie-Constance Corsi, Pedro A. Vald\'es-Sosa, Amit Majumdar, Alan Evans, Terrence J Sejnowski, Oren Shriki, Sylvain Chevallier, Arnaud Delorme

EEG Foundation Challenge: From Cross-Task to Cross-Subject EEG Decoding
Current electroencephalogram (EEG) decoding models are typically trained on small numbers of subjects performing a single task. Here, we introduce a large-scale, code-submission-based competition comprising two challenges. First, the Transfer Challenge asks participants to build and test a model that can zero-shot decode new tasks and new subjects from their EEG data. Second, the Psychopathology factor prediction Challenge asks participants to infer subject measures of mental health from EEG da…

Zwischen Digitalministerium, Blogger-Treffen, #SaveSocial und dem Känguru, Generationen-Treff XYZ mit Boomern und dem roten Leuchtturm im Hof, @… und ich bereiten uns bei #9vor9

Generationen-Treff re:publica: Zwischen Digitaldiskurs, Bloggertreffen und Hofgeflüster #9vor9
Die republica 2025 steht vor der Tür – und mit ihr das übliche Chaos aus zu vielen Sessions, politischen Schwergewichten und Blogger-Klassentreffen. Was erwartet uns zwischen Generation XYZ, Debatt…

Categorified structures over moduli spaces: Anomalies, non-invertible symmetries, and exceptional holonomy
A. Perez-Lona, E. Sharpe, X. Yu
https://arxiv.org/abs/2506.19909

Categorified structures over moduli spaces: Anomalies, non-invertible symmetries, and exceptional holonomy
In this note, we propose an extension of the relation between worldsheet global symmetries and structures over moduli spaces of superconformal field theories (SCFTs) to include noninvertible symmetries. The most familiar examples of such structures associated to an ordinary symmetry are the Bagger-Witten line bundles, which arise over the moduli spaces of two-dimensional N=(2,2) SCFTs from a non-anomalous worldsheet U(1)_R symmetry and its associated spectral flow operators. Generalizing this s…

Learning to assess subjective impressions from speech
Yuto Kondo, Hirokazu Kameoka, Kou Tanaka, Takuhiro Kaneko, Noboru Harada
https://arxiv.org/abs/2506.19335

Learning to assess subjective impressions from speech
We tackle a new task of training neural network models that can assess subjective impressions conveyed through speech and assign scores accordingly, inspired by the work on automatic speech quality assessment (SQA). Speech impressions are often described using phrases like `cute voice.' We define such phrases as subjective voice descriptors (SVDs). Focusing on the difference in usage scenarios between the proposed task and automatic SQA, we design a framework capable of accommodating SVDs perso…

Posterior Contraction for Sparse Neural Networks in Besov Spaces with Intrinsic Dimensionality
Kyeongwon Lee, Lizhen Lin, Jaewoo Park, Seonghyun Jeong
https://arxiv.org/abs/2506.19144

Posterior Contraction for Sparse Neural Networks in Besov Spaces with Intrinsic Dimensionality
This work establishes that sparse Bayesian neural networks achieve optimal posterior contraction rates over anisotropic Besov spaces and their hierarchical compositions. These structures reflect the intrinsic dimensionality of the underlying function, thereby mitigating the curse of dimensionality. Our analysis shows that Bayesian neural networks equipped with either sparse or continuous shrinkage priors attain the optimal rates which are dependent on the intrinsic dimension of the true structu…

d-Boolean algebras and their bitopological representation
Hang Yang, Dexue Zhang
https://arxiv.org/abs/2505.17806 https://arxiv.org/p…

d-Boolean algebras and their bitopological representation
We present a Stone duality for bitopological spaces in analogy to the duality between Stone spaces and Boolean algebras, in the same vein as the duality between d-sober bitopological spaces and spatial d-frames established by Jung and Moshier. Precisely, we introduce the notion of d-Boolean algebras and prove that the category of such algebras is dually equivalent to the category of Stone bitopological spaces, which are compact and zero-dimensional bitopological spaces satisfying the T0 separat…

The #Axiom4 crew has reached the ISS: https://www.youtube.com/watch?v=byE5Kol94xI and https://www.nasa.gov/blogs/spacestation/2025/06/26/axiom-mission-4-astronauts-enter-station-begin-research-mission/ and https://www.esa.int/Newsroom/Press_Releases/Ignis_First_Polish_space_mission_with_ESA_s_Slawosz_Uznanski-Wisniewski_begins