Tootfinder

Tubi says it crossed 100M monthly users in May and accounted for 1B hours of total TV viewership time; Nielsen: Tubi accounted for 2.2% of total TV viewership (Kayla Cobb/The Wrap)
https://www.thewrap.com/tubi-users-100-million-monthly-nielsen/

Tubi Surpasses 100 Million Monthly Users for the First Time
Tubi surpassed 100 million monthly hours and accounted for 1 billion hours of total TV viewing in May, a first according to Nielsen.

Nielsen: in May, Americans watched more TV on streaming than on cable and broadcast networks combined, the first time that has happened over a full month (John Koblin/New York Times)
https://www.nytimes.com/2025/06/17/business/media/streaming…

It’s Official: Streaming Is Now the King of TV
In May, more Americans watched television on streaming than on cable and network television combined, Nielsen said. It is the first time that has happened over a full month.

Nielsen numbers of $n$-valued maps on infra-solvmanifolds
Karel Dekimpe, Lore De Weerdt
https://arxiv.org/abs/2506.13438 https://arxi…

Nielsen numbers of $n$-valued maps on infra-solvmanifolds
We derive a formula for the Nielsen number $N(f)$ for every $n$-valued self-map $f$ of an infra-solvmanifold. To do this, we express $N(f)$ in terms of Nielsen coincidence numbers of single-valued maps on solvmanifolds, and derive a formula for Nielsen coincidence numbers in that setting.

🇺🇦 #NowPlaying on KEXP's #Roadhouse
Harry Nilsson:
🎵 Me and My Arrow
#HarryNilsson
https://wetbridgerecords.bandcamp.com/album/ty-segall-loch-lomond-gotta-get-up-me-my-arrow-harry-nilsson-cover-7inch
https://open.spotify.com/track/5KjRITicSHJM88w3U9LwLM
Please 🔁 BOOST to share what you like
- your followers don't see if you ⭐ favourite a post

Nielsen: in May, Americans watched more TV on streaming than on cable and broadcast networks combined, the first time that has happened over a full month (John Koblin/New York Times)
https://www.nytimes.com/2025/06/17/business/media/streaming…

It’s Official: Streaming Is Now the King of TV
In May, more Americans watched television on streaming than on cable and network television combined, Nielsen said. It is the first time that has happened over a full month.

#ndwgoecountdown Vortrag – Wie alt ist eigentlich der Mond?
Wer verrät schon gerne seine Alter? Der Mond jedenfalls nicht! Seit Langem bemühen sich Forschende, die Geburtsstunde unseres kosmischen Begleiters zu bestimmen. Wichtigster Anhaltspunkt: Mondgestein, von Apollo-Astronauten zurück zur Erde gebracht. Der Vortrag von Prof. Kleine gibt einen Überblick über den aktuellen …

So uh, no 6 or 7 on my block for a bit.

User Perceptions and Attitudes Toward Untraceability in Messaging Platforms
Carla F. Griggio, Boel Nelson, Zefan Sramek, Aslan Askarov
https://arxiv.org/abs/2506.11212

User Perceptions and Attitudes Toward Untraceability in Messaging Platforms
Mainstream messaging platforms offer a variety of features designed to enhance user privacy, such as disappearing messages, password-protected chats, and end-to-end encryption (E2EE), which primarily protect message contents. Beyond contents, the transmission of messages generates metadata that can reveal who communicates with whom, when and how often. In this paper, we study user perceptions of "untraceability", i.e., preventing third parties from tracing who communicates with whom, with the g…

Considerations on Everett J. Nelson's connexive logic
Davide Fazio, Raffaele Mascella
https://arxiv.org/abs/2506.10893 https://ar…

Considerations on Everett J. Nelson's connexive logic
This work explores Everett John Nelson's connexive logic, outlined in his PhD thesis and partially summarized in his 1930 paper \emph{Intensional Relations}, which is obtained by extending the system $\mathsf{NL}$ (reconstructed by E. Mares and F. Paoli) with a weak conjunction elimination rule explicitly assumed in the former but not in the latter. After a preliminary analysis of Nelson's philosophical ideas, we provide an algebraic-relational semantics for his logic and we investigate possibl…

Condition Monitoring with Machine Learning: A Data-Driven Framework for Quantifying Wind Turbine Energy Loss
Emil Marcus Buchberg, Kent Vugs Nielsen
https://arxiv.org/abs/2506.13012

Condition Monitoring with Machine Learning: A Data-Driven Framework for Quantifying Wind Turbine Energy Loss
Wind energy significantly contributes to the global shift towards renewable energy, yet operational challenges, such as Leading-Edge Erosion on wind turbine blades, notably reduce energy output. This study introduces an advanced, scalable machine learning framework for condition monitoring of wind turbines, specifically targeting improved detection of anomalies using Supervisory Control and Data Acquisition data. The framework effectively isolates normal turbine behavior through rigorous prepro…