Tootfinder

Finland bans Russians, Belarusians from buying property over security concerns: https://benborges.xyz/2025/07/16/finland-bans-russians-belarusians-from.html

Children's Commissioner for England Rachel de Souza criticizes a Channel 4 documentary on porn star Bonnie Blue for "glamorising and normalising" extreme porn (Amelia Gentleman/The Guardian)
https://www.theguard…

Tradeoff Between the Number of Transmitted Molecules and the BER Performance in Molecular Communication between Bionanosensors
Dongliang Jing, Linjuan Li, Lin Lin, Andrew W. Eckford
https://arxiv.org/abs/2508.04466

Tradeoff Between the Number of Transmitted Molecules and the BER Performance in Molecular Communication between Bionanosensors
In the domain of molecular communication (MC), information is conveyed through the characteristics of molecules transmitted between the transmitter and the receiver bionanosensors via propagation. The constrained size of the transmitter imposes limitations on its storage capacity, constraining the number of available molecules for transmission, with a resulting effect on communication reliability. This paper primarily focuses on achieving an equilibrium between the number of transmitted molecul…

Introducing a Markov Chain-Based Time Calibration Procedure for Multi-Channel Particle Detectors: Application to the SuperFGD and ToF Detectors of the T2K Experiment
S. Abe, H. Alarakia-Charles, I. Alekseev, C. Alt, T. Arai, T. Arihara, S. Arimoto, A. M. Artikov, Y. Awataguchi, N. Babu, V. Baranov, G. Barr, D. Barrow, L. Bartoszek, L. Bernardi, L. Berns, S. Bhattacharjee, A. V. Boikov, A. Blanchet, A. Blondel, A. Bonnemaison, S. Bordoni, M. H. Bui, T. H. Bui, F. Cadoux, S. Cap, A. Cauc…

Introducing a Markov Chain-Based Time Calibration Procedure for Multi-Channel Particle Detectors: Application to the SuperFGD and ToF Detectors of the T2K Experiment
Inter-channel mis-synchronisation can be a limiting factor to the time resolution of high performance timing detectors with multiple readout channels and independent electronics units. In these systems, time calibration methods employed must be able to efficiently correct for minimal mis-synchronisation between channels and achieve the best detector performance. We present an iterative time calibration method based on Markov Chains, suitable for detector systems with multiple readout channels. …

Unified Spectrospatial Forward Models: Spatially Continuous Maps of Weak Emission Lines in the Rosette Nebula with SDSS-V LVM
Thomas Hilder, Andrew R. Casey, Julianne J. Dalcanton, Kathryn Kreckel, Amelia M. Stutz, Amrita Singh, Guillermo A. Blanc, Sebasti\'an F. S\'anchez, J. E. M\'endez-Delgado, Andrew K. Saydjari, Luciano Vargas-Herrera, Niv Drory, Dmitry Bizyaev, Jos\'e G. Fern\'andez-Trincado, Carlos G. Rom\'an-Z\'u\~niga, Juna A. Kollmeier, Evelyn J. J…

Unified Spectrospatial Forward Models: Spatially Continuous Maps of Weak Emission Lines in the Rosette Nebula with SDSS-V LVM
Analyses of IFU data are typically performed on a per-spaxel basis, with each spectrum modelled independently. For low signal-to-noise (S/N) features such as weak emission lines, estimating properties is difficult and imprecise. Arbitrary binning schemes boost S/N at the cost of resolution, and risk introducing biases. We present a general forward-modelling approach that assumes spectra close on the sky are more similar than distant ones, and so can be modelled jointly. These "spectrospatial" m…

Incorporating Pre-trained Diffusion Models in Solving the Schr\"odinger Bridge Problem
Zhicong Tang, Tiankai Hang, Shuyang Gu, Dong Chen, Baining Guo
https://arxiv.org/abs/2508.18095

Incorporating Pre-trained Diffusion Models in Solving the Schrödinger Bridge Problem
This paper aims to unify Score-based Generative Models (SGMs), also known as Diffusion models, and the Schrödinger Bridge (SB) problem through three reparameterization techniques: Iterative Proportional Mean-Matching (IPMM), Iterative Proportional Terminus-Matching (IPTM), and Iterative Proportional Flow-Matching (IPFM). These techniques significantly accelerate and stabilize the training of SB-based models. Furthermore, the paper introduces novel initialization strategies that use pre-trained…

Fast-Convergent Proximity Graphs for Approximate Nearest Neighbor Search
Binhong Li, Xiao Yan, Shangqi Lu
https://arxiv.org/abs/2510.05975 https://arxiv.or…

Fast-Convergent Proximity Graphs for Approximate Nearest Neighbor Search
Approximate nearest neighbor (ANN) search in high-dimensional metric spaces is a fundamental problem with many applications. Over the past decade, proximity graph (PG)-based indexes have demonstrated superior empirical performance over alternatives. However, these methods often lack theoretical guarantees regarding the quality of query results, especially in the worst-case scenarios. In this paper, we introduce the α-convergent graph (α-CG), a new PG structure that employs a carefully designe…

Did you know #Spotify is basically an #AI #karaoke bar now? Yep, your “favorite” #indie

Super Mario 3D Land: golden flags
Unfortunately, my Switch 2 gaming time has been a bit limited because of two things: school holidays necessitating multiple dad-taxi rides for children around the area; and Edward borrowing my console to play Donkey Kong Bananza at every moment. I tried playing Bananza in handheld mode and, while it was still good, I much preferred it on the big TV screen.

It looks like we will have tax free books in Denmark soon (Hurray!), partly to try an encourage more reading (though our libraries are booming) after #PISA2022 showed alarming decline in reading ability. This was IIRC the case across the OECD, I haven't seen a very convincing explanation for the decline in maths, science and reading performance (which started way before COVID shutdowns).
Has anyone done any research to understand why?
https://www.lemonde.fr/en/europe/article/2025/08/20/denmark-to-end-book-tax-to-encourage-people-to-read_6744543_143.html