Tootfinder

Messenger: Hauptserver von Matrix down
Nach einem Datenbankfehler ist Matrix.org offline. Das Einspielen des Backups ist in Arbeit, eigene Instanzen sind nicht betroffen.
https://www.heise.de/news/Messen…

What emerged was not a diverse network of activists, but a concentrated ecosystem built to serve the firm at its center:
Mothership Strategies.
After subtracting these massive operational costs—the payments to Mothership, the fees for texting services, the cost of digital ads and list rentals—the final sum delivered to candidates and committees is vanishingly small. My analysis of the network's FEC disbursements reveals that, at most, $11 million of the $678 million raised fr…

The Mothership Vortex: An Investigation Into the Firm at the Heart of the Democratic Spam Machine
How a single consulting firm extracted $282 million from a network of spam PACs while delivering just $11 million to actual campaigns.

Next Gen Stats: New advanced metrics you NEED to know for the 2025 NFL season https://www.nfl.com/news/next-gen-stats-new-advanced-metrics-you-need-to-know-for-the-2025-nfl-season

#Matrix 2024: Can not decrypt this message
#Matrix 2025: Can not find this message
Progress.

Arbitrary matrix coefficient assignment for block matrix linear control systems by static output feedback
Vasilii Zaitsev, Inna Kim
https://arxiv.org/abs/2509.03040 https://

Arbitrary matrix coefficient assignment for block matrix linear control systems by static output feedback
This work has introduced a generalized formulation of the problem of eigenvalue spectrum assignment for block matrix systems. In this problem, it is required to construct a feedback that provides that the matrix of the closed-loop system is similar to a block companion matrix with arbitrary predetermined block matrix coefficients. Sufficient conditions for the resolvability of this problem by linear static output feedback are obtained when the coefficients of the system have a special form, nam…

Inside the aftermath of FTX's collapse, law firm Sullivan & Cromwell's role, and an interview with SBF, who is preparing to appeal his conviction in November (Mother Jones)
https://www.motherjones.com/politics/2025/10/…

Sam Bankman-Fried and the multibillion-dollar drama over FTX’s ruins
In exclusive prison interviews, the convicted crypto king is still fighting to control the narrative ahead of a high-stakes appeal.

A new kind of $A_{\p}$-matrix for mixed graphs
Piyush Sharma, Ravinder Kumar
https://arxiv.org/abs/2509.02326 https://arxiv.org/pdf/2509.02326

A new kind of $A_{\p}$-matrix for mixed graphs
Nikiforov\cite{nikiforov2017merging} introduced the concept of the $A_{\p}$-matrix as a convex linear combination of a graph's adjacency matrix and its diagonal matrix of vertex degrees. In this paper, we introduce a new variant of the $A_{\p}$-matrix, which is a linear combination of the Hermitian adjacency matrix of the second kind, $H^{\om}$, and the degree-diagonal matrix. This study provides new insights into the $A_{\p}$-matrix as a Hermitian matrix, leading to novel bounds in spectral gr…

Evaluation of Stress Detection as Time Series Events -- A Novel Window-Based F1-Metric
Harald Vilhelm Skat-R{\o}rdam, Sneha Das, Kathrine Sofie Rasmussen, Nicole Nadine L{\o}nfeldt, Line Clemmensen
https://arxiv.org/abs/2509.03240

Evaluation of Stress Detection as Time Series Events -- A Novel Window-Based F1-Metric
Accurate evaluation of event detection in time series is essential for applications such as stress monitoring with wearable devices, where ground truth is typically annotated as single-point events, even though the underlying phenomena are gradual and temporally diffused. Standard metrics like F1 and point-adjusted F1 (F1$_{pa}$) often misrepresent model performance in such real-world, imbalanced datasets. We introduce a window-based F1 metric (F1$_w$) that incorporates temporal tolerance, enab…

🇺🇦 Auf radioeins läuft...
Mother's Cake:
🎵 Love Your Smell
#NowPlaying #MothersCake
https://motherscake.bandcamp.com/track/love-your-smell-2
https://open.spotify.com/track/29T0PK2Mnlerq2IsHWk5IE