Tootfinder

YouTube releases its 2024 US Impact Report, which says YouTube's creative ecosystem contributed $55B to US GDP in 2024 and supported 490K full-time jobs (Alexandra Veitch/YouTube Official Blog)
https://blog.youtube/news-and-events/2024-us-youtube-impact-re…

2024 U.S. YouTube Impact Report
Learn how YouTube empowers creators and fuels the US economy. Our new report highlights a $55B US GDP contribution and 490K jobs supported, showcasing two decades of shared growth and creator success.

Vanity Fair names Vogue creative editorial director Mark Guiducci as its global editorial director, replacing Radhika Jones and starting at the end of June (Katie Robertson/New York Times)
https://www.nytimes.com/2025/06/10/business/media/va…

Vanity Fair Names Mark Guiducci as Its Top Editor
Mr. Guiducci, 36, fills a role recently vacated by Radhika Jones, who led the magazine for seven years.

This https://arxiv.org/abs/2504.07879 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csHC_…

Towards Sustainable Creativity Support: An Exploratory Study on Prompt Based Image Generation
Creativity is a valuable human skill that has long been augmented through both analog and digital tools. Recent progress in generative AI, such as image generation, provides a disruptive technological solution to supporting human creativity further and helping humans generate solutions faster. While AI image generators can help to rapidly visualize ideas based on user prompts, the use of such AI systems has also been critiqued due to their considerable energy usage. In this paper, we report on …

Comparative analysis of privacy-preserving open-source LLMs regarding extraction of diagnostic information from clinical CMR imaging reports
Sina Amirrajab, Volker Vehof, Michael Bietenbeck, Ali Yilmaz
https://arxiv.org/abs/2506.00060

Comparative analysis of privacy-preserving open-source LLMs regarding extraction of diagnostic information from clinical CMR imaging reports
Purpose: We investigated the utilization of privacy-preserving, locally-deployed, open-source Large Language Models (LLMs) to extract diagnostic information from free-text cardiovascular magnetic resonance (CMR) reports. Materials and Methods: We evaluated nine open-source LLMs on their ability to identify diagnoses and classify patients into various cardiac diagnostic categories based on descriptive findings in 109 clinical CMR reports. Performance was quantified using standard classification …

This https://arxiv.org/abs/2505.16452 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csCV_…

CMRINet: Joint Groupwise Registration and Segmentation for Cardiac Function Quantification from Cine-MRI
Accurate and efficient quantification of cardiac function is essential for the estimation of prognosis of cardiovascular diseases (CVDs). One of the most commonly used metrics for evaluating cardiac pumping performance is left ventricular ejection fraction (LVEF). However, LVEF can be affected by factors such as inter-observer variability and varying pre-load and after-load conditions, which can reduce its reproducibility. Additionally, cardiac dysfunction may not always manifest as alterations…

This https://arxiv.org/abs/2505.24159 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_ees…

A Causation-Based Framework for Pricing and Cost Allocation of Energy, Reserves, and Transmission in Modern Power Systems
The increasing vulnerability of power systems has heightened the need for operating reserves to manage contingencies such as generator outages, line failures, and sudden load variations. Unlike energy costs, driven by consumer demand, operating reserve costs arise from addressing the most critical credible contingencies - prompting the question: how should these costs be allocated through efficient pricing mechanisms? As an alternative to previously reported schemes, this paper presents a new c…

Internal replication as a tool for evaluating reproducibility in preclinical experiments
Stanley E. Lazic
https://arxiv.org/abs/2506.03468 https://

Internal replication as a tool for evaluating reproducibility in preclinical experiments
Reproducibility is central to the credibility of scientific findings, yet complete replication studies are costly and infrequent. However, many biological experiments contain internal replication, which is defined as repetition across batches, runs, days, litters, or sites that can be used to estimate reproducibility without requiring additional experiments. This internal replication is analogous to internal validation in prediction or machine learning models, but is often treated as a nuisance…

This https://arxiv.org/abs/2411.16505 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_…

Pre-Big-Bang Cosmology Cannot Explain NANOGrav 15-year Signal
We investigate whether the Pre-Big Bang (PBB) scenario from string cosmology can explain the stochastic gravitational wave background signal reported in the NANOGrav 15-year dataset. Using Bayesian analysis techniques, we constrain the key parameters of the PBB model by comparing its theoretical predictions with the observed data. Our analysis yields $β= -0.12^{+0.06}_{-0.21}$ ($90\%$ credible interval) for the dilaton-dynamics parameter, which lies outside the theoretically allowed range $0 \…

Rant about PHP
You know a technology is declining when the most basic questions about its most bizarre quirks are left completely unanswered for years.
#PHP is like that. Every day I have many of these questions. I look for them. No one asked them before, no one wrote about them before.
I'm baffled by the lack of curiosity and proactivity of its community.
I know it sounds like me piling up on people I don't know anything about, but I used to invest a lot of time programming in PHP. I went to conferences, I made some open source libraries for it, like a PHP kernel for Jupyter Notebooks, I even made a library to work with dataframes, tensors and matrices in PHP (although I lost this one because my laptop was stolen before I released... and I didn't had it in me to rewrite it again).
Then, the ones who I admired the most in that space, like Nikita Popov, started leaving it to work in more intellectually vibrant communities... and it shows.
I'm sure Nikita Popov would be much more gracious than me when talking about it. I can only speculate about his motivations, but at least I can tell you about mine: It was precisely about that same lack of curiosity and creativity that I mentioned before, it felt unbearably grey and sad.