Tootfinder

Whatever you do, do not call the number and recount the story of the time you were working commercial towing and a co-worker’s indigestion turned out to be a chest bursting health hazard that should have been nuked from space. 👽
#alien #movie

Theo Francken "entend bien prouver que son parti reste suffisamment sale, pour reprendre les mots utilisés Š l’époque par Gerolf Annemans au sujet du Vlaams Belang."
#DaarDaar

Endlich wird auch auf #youtube mehr Diskriminierung ermöglicht, die waren den anderen Plattformen bislang noch hinterher bei der #trumpification .
Die Gesellschaft und friedliches Zusammenleben zerstören ist in den USA ja jetzt Staatsdoktrin, da müssen die Firmen natürlich mitarbeiten.

A surprising Stanford study concludes AI-assisted writing tends to be highest in less-educated areas. Is that bridging gaps or creating dependence? Gaining opportunities or losing skills?
https://www.linkedin.com/posts/jonippolito

Towards Industrial Convergence : Understanding the evolution of scientific norms and practices in the field of AI
Antoine Houssard
https://arxiv.org/abs/2505.17945

Towards Industrial Convergence : Understanding the evolution of scientific norms and practices in the field of AI
In the field of artificial intelligence (AI) research, there seems to be a rapprochement between academics and industrial forces. The aim of this study is to assess whether and to what extent industrial domination in the field as well as the ever more frequent switch between academia and industry resulted in the adoption of industrial norms and practices by academics. Using bibliometric information and data on scientific code, we aimed to understand academic and industrial researchers' practice…

Generalised Time-Series Analysis of Fault Mechanics Using Explainable AI
Thomas King, Sergio Vinciguerra
https://arxiv.org/abs/2505.21312 https://

Generalised Time-Series Analysis of Fault Mechanics Using Explainable AI
Understanding how faults nucleate and grow is a critical problem in earthquake science and hazard assessment. This study examines fault development in Alzo granite under triaxial pressures ranging from 5 to 40 MPa by applying a Time Delay Neural Network (TDNN) to multi-parameter acoustic emission (AE) data. The TDNN integrates waveform-derived attributes, including peak delay and scattering attenuation, with occurrence-based metrics such as time distributions, Gutenberg-Richter b-values, and sp…

Vielleicht hat es aber auch was Gutes. Für die Trockenstarre hat sie einen grösseren Teil ihres Mantels zurück in das noch vorhandene Haus gequetscht, so dass jetzt weniger ungeschützter Mantel hervorschaut. So muss sie jetzt eigentlich weniger neu bauen, resp. kann dann vielleicht einfach bei bedarf noch vorne ansetzen. Ich glaube, sie ist eh noch nicht ausgewachsen, und wird somit eh noch vorne weiter Hauserweiterung betreiben.

Friends in #HigherEd, it’s the season for finals (on the semester system). Be kind. Your students are anxious. You are absorbing their anxiety. You are also stressed by grading & all the projects you thought you had time to do before now. For you and them, have water, healthy snacks, encourage rest.

Filtering in a hazard rate change-point model with financial and life-insurance applications
Matteo Buttarazzi, Claudia Ceci
https://arxiv.org/abs/2505.13185

Filtering in a hazard rate change-point model with financial and life-insurance applications
This paper develops a continuous-time filtering framework for estimating a hazard rate subject to an unobservable change-point. This framework arises naturally in both financial and insurance applications, where the default intensity of a firm or the mortality rate of an individual may experience a sudden jump at an unobservable time, representing, for instance, a shift in the firm's risk profile or a deterioration in an individual's health status. By employing a progressive enlargement of filt…

This https://arxiv.org/abs/2505.13185 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_qfi…

Filtering in a hazard rate change-point model with financial and life-insurance applications
This paper develops a continuous-time filtering framework for estimating a hazard rate subject to an unobservable change-point. This framework arises naturally in both financial and insurance applications, where the default intensity of a firm or the mortality rate of an individual may experience a sudden jump at an unobservable time, representing, for instance, a shift in the firm's risk profile or a deterioration in an individual's health status. By employing a progressive enlargement of filt…