Tootfinder

business owners once again proving they don't know how people get to their stores. they equate congestion with economic activity, when the opposite is true. there's no parking on the street! taxis are allowed!! the vast majority will come by public transit
“S.F. businesses are pressuring Mayor Lurie to reopen Market Street to cars. Will it work?”

China Mieville contra Perry Anderson: Anti-Streeck
»On immigration, socialist demands should include full labour and civic rights for migrants, full entitlement to benefits, unionisation across the economy, and an undoing of vulnerabilities that contribute to the super-exploitation of migrants.«
https://www.

business owners once again proving they don't know how people get to their stores. they equate congestion with economic activity, when the opposite is true. there's no parking on the street! taxis are allowed!! the vast majority will come by public transit
“S.F. businesses are pressuring Mayor Lurie to reopen Market Street to cars. Will it work?”

Cardinals' Trey McBride wants TE market to continuously be reset: Examining next stars who could cash in

https://www.cbssports.com/nfl/news/car…

Robust Distributed Phase Retrieval for Multi-View Compressive Networked Sensing With Outliers
Ming-Hsun Yang
https://arxiv.org/abs/2505.24651 https://

Robust Distributed Phase Retrieval for Multi-View Compressive Networked Sensing With Outliers
This work examines the multi-view compressive phase retrieval problem in a distributed sensor network, where each sensor device, limited by storage and sensing capabilities, can access only intensity measurements from an unknown part of the global sparse vector. The goal is to enable each sensor to recover its observable sparse signal when measurements are corrupted by outliers. To achieve reliable local signal recovery with limited data access, we propose a distributed reconstruction algorithm…

A Standing-Wave Model for the Low-Frequency Dynamics of a Turbulent Separation Bubble
Lukas M. Fuchs, Ben Steinfurth, Jakob G. R. von Saldern, Julien Weiss, Kilian Oberleithner
https://arxiv.org/abs/2505.24723

A Standing-Wave Model for the Low-Frequency Dynamics of a Turbulent Separation Bubble
This study investigates the low-frequency dynamics of a turbulent separation bubble (TSB) forming over a backward-facing ramp, with a focus on very-large-scale coherent structures associated with the so-called 'breathing motion'. Using time-resolved particle image velocimetry (PIV) in both streamwise and spanwise planes, we examine the role of sidewall confinement, an aspect largely overlooked in previous research. Spectral proper orthogonal decomposition (SPOD) of the streamwise velocity field…

This https://arxiv.org/abs/2503.09257 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csDB_…

A Global Dataset Mapping the AI Innovation from Academic Research to Industrial Patents
In the rapidly evolving field of artificial intelligence (AI), mapping innovation patterns and understanding effective technology transfer from research to applications are essential for economic growth. However, existing data infrastructures suffer from fragmentation, incomplete coverage, and insufficient evaluative capacity. Here, we present DeepInnovationAI, a comprehensive global dataset containing three structured files. DeepPatentAI.csv: Contains 2,356,204 patent records with 8 field-spec…

techno-political rant
Say what you want about using the right tool for each problem, but there are tools that suck no matter what.
I'm tired of people portraying legit technical criticism as "biased" and "religious", while at the same time they present themselves as tolerant and open-minded (spoiler: for the most part, they aren't).
Almost every day of my life I have to deal with the nasty consequences of ultra-dumb decisions made by the very same people who are obsessed with productivity and criticise all day long whoever pushes for any design that shows any minim amount of care and/or deep thought (mostly via strawmen arguments).
And, of course, unironically: this has a lot to do with capitalism, as many of our other social and economic problems.
They arrive, have a strike of super-productivity for a few weeks/months and then use that as a trampoline to raise through the ranks or abandon ship before having to face the consequences of their technical crimes.
Then others arrive and are obviously slower at that same job... so the uneducated observers start believing that these newcomers aren't as good as the class traitors who wrote the initial nasty code.
To make things worse, if any of these newcomers dare to speak openly about introducing good practices... this ends up creating a new mental association (in the minds of uneducated observers) between "good engineering" and "lack of productivity".
The ones trying to fix the mess are indeed slower, not because they try to do things the right way though, but because they have to waste vasts amounts of time fixing what is objectively broken besides doing the "visible" work.
Most of today's established "super-productive" ones, if they were starting today, would be probably "vibe coders", certainly not what we commonly understand as a programmer. Not because AI-coding is the future, but because they never cared about the trade at all. They were here only for the grift.

Are there stars in Bluesky after the return of Donald Trump to the White House?
Wenceslao Arroyo-Machado, Nicolas Robinson-Garcia, Daniel Torres-Salinas
https://arxiv.org/abs/2505.22702

Are there stars in Bluesky after the return of Donald Trump to the White House?
This study examines the shift in the scientific community from X (formerly Twitter) to Bluesky, its impact on scientific communication, and consequently on social metrics (altmetrics). We analysed 14,497 publications from multidisciplinary and Library and Information Science (LIS) journals between January 2024 and March 2025. The results reveal a notable increase in Bluesky activity for multidisciplinary journals in November 2024, likely influenced by political and platform changes, with mentio…

How to Elicit Explainability Requirements? A Comparison of Interviews, Focus Groups, and Surveys
Martin Obaidi, Jakob Droste, Hannah Deters, Marc Herrmann, Raymond Ochsner, Jil Kl\"under, Kurt Schneider
https://arxiv.org/abs/2505.23684

How to Elicit Explainability Requirements? A Comparison of Interviews, Focus Groups, and Surveys
As software systems grow increasingly complex, explainability has become a crucial non-functional requirement for transparency, user trust, and regulatory compliance. Eliciting explainability requirements is challenging, as different methods capture varying levels of detail and structure. This study examines the efficiency and effectiveness of three commonly used elicitation methods - focus groups, interviews, and online surveys - while also assessing the role of taxonomy usage in structuring a…