Tootfinder

The BBC reports license fee payers fell 539K YoY to 23.3M in 2025-26, the biggest fall since 2020-21; license fee income rose £36M to £3.9B after the fee uplift (Max Goldbart/Deadline)
https://deadline.com/2026/07/bbc-licence-fee-payers-plummet-c…

BBC License Fee Payers Plummet By Half A Million
The number of BBC licence fee payers fell by 539,000 last year as charter renewal negotiations enter a new stage, according to the annual report.

Instructions for trapping mosquitoes that are in your bedroom. #mosquitoes https://colinpurrington.com/2020/06/diy-soda-bottle-mosquito-trap/

from my link log —
CVE-2020-13777 GnuTLS passive plaintext recovery vulnerability.
https://anarc.at/blog/2020-06-10-gnutls-audit/
saved 2020-07-27 http…

CVE-2020-13777 GnuTLS audit: be scared
anarcat

Dirichlet symbols and the nonlinear wave equation
Ramlal Debnath, Haakan Hedenmalm
https://arxiv.org/abs/2608.04666 https://arxiv.org/pdf/2608.04666 https://arxiv.org/html/2608.04666
arXiv:2608.04666v1 Announce Type: new
Abstract: We study the operator symbols of Dirichlet type introduced by Hedenmalm and Shimorin (2020), in connection with a given contraction on $L^2$ of the unit disk. They are always holomorphic functions on the bidisk. Such Dirichlet symbols associated with the Grunsky operator of a univalent function on the disk or exterior disk are of particular significance. From the work of Hedenmalm and Shimorin, we know they are characterized as solutions of a certain nonlinear wave equation. We perform a local analysis of such symbols near the diagonal on the bidisk, and in so doing, we provide alternative chart coordinates for the infinite-dimensional manifolds of univalent functions of the disk or the exterior disk. Those coordinates allow us to characterize $\log\psi'$ for $\psi$ in the class $\Sigma$ of normalized univalent functions without explicitly touching the univalence property. Moreover, those manifolds extend the universal Teichm\"uller space of Lipman Bers beyond the quasicircle boundary setting, allowing for more fractality. The fractality of harmonic measure for the domain associated with the given univalent function can be studied in terms of the asymptotic variance introduced by McMullen (2008). The asymptotic variance captures the $L^2$ average amplitude of the nonlinearity. We introduce the new concept of Schwarzian asymptotic variance, which measures the average amplitude of the Schwarzian derivative in place of the nonlinearity. For this new Schwarzian asymptotic variance, we find that the effectiveaverage amplitude of $(1-|z|^2)^2|\Sop(\vp)|^2$ on the disk in the hyperbolic metric sense is at most $72/5=14.4$, considerably smaller than the maximum amplitude of $36$. Here, $\Sop(\vp)$ is the Schwarzian derivative of $\varphi\in\mathscr{S}$, and the analogous statement is valid for $\psi\in\Sigma$ as well.
toXiv_bot_toot

from my link log —
Why don't we just ban targeted advertising?
https://www.wired.com/story/why-dont-we-just-ban-targeted-advertising/
saved 2020-03-23

Why Don’t We Just Ban Targeted Advertising?
From protecting privacy to saving the free press, it may be the single best way to fix the internet.

DefoEye: Python-Based Software for Facilitating Time-Series InSAR Analysis of Sentinel-1 Remote-Sensing Data
Alireza Taheri Dehkordi, Hossein Hashemi, Amir Naghibi
https://arxiv.org/abs/2608.04915 https://arxiv.org/pdf/2608.04915 https://arxiv.org/html/2608.04915
arXiv:2608.04915v1 Announce Type: new
Abstract: Many existing time-series Interferometric Synthetic Aperture Radar (TS-InSAR) software tools have limitations, including restricted geographic applicability, commercial licensing, and incomplete end-to-end processing support. Although GMTSAR avoids some of these constraints, it still requires substantial manual intervention and C-shell commands, lacks a user-friendly graphical interface, and omits important steps such as interferogram network pruning and anchoring of unwrapped interferograms. This paper introduces DefoEye (v1), an open-source Python-based software package that wraps GMTSAR and provides a unified, user-friendly TS-InSAR workflow for Sentinel-1 data. DefoEye supports parallel job execution, interferogram network pruning, and multiple anchoring options. Its performance was evaluated from 2020 to 2024 in four regions with different geological settings, deformation mechanisms, and atmospheric and climatic conditions. In Bologna, Italy; Gotland, Sweden; and Houston, USA, DefoEye results were compared with observations from 10 GNSS stations and showed strong agreement, with RMSE values of 4.3-11.9 mm and Pearson correlation coefficients of 0.63-0.95. In Karaj, Iran, where GNSS observations were unavailable, DefoEye was compared with other widely used processing tools and achieved similarly close agreement, with an RMSE of 4.8 mm/yr and a Pearson correlation coefficient of 0.98. These results demonstrate that DefoEye provides reliable TS-InSAR products for geological, hydrological, and environmental applications.
toXiv_bot_toot

from my link log —
StrictYAML.
https://hitchdev.com/strictyaml/
saved 2020-10-23 https://dotat.at/:/2EB48.html