Tootfinder

Loving Rupert
#NicoleEggert #StephenHeld
Season 4 Episode 14 "Coronado Del Soul: part 1"
#RandomBaywatch

The Ex spent the night
#WendieMalick
Season 1 Episode 6 "The Sky is Falling"
#RandomBaywatch #lvdlpx

A c-theorem for the effective central charge in the R=1 replica limit, and applications to systems with measurement-induced randomness
Rushikesh A. Patil, Andreas W. W. Ludwig
https://arxiv.org/abs/2507.07959

A c-theorem for the effective central charge in the R=1 replica limit, and applications to systems with measurement-induced randomness
We present a general theorem demonstrating non-perturbatively the decrease of the "effective central charge" $c_{\text{eff}}=(d c/dR)|_{R=1}$ under renormalization group (RG) flow in the $R\rightarrow1$ replica limit of a $R$-copy $2D$ conformal field theory (CFT) action $S_{*}$ perturbed by a replica interaction of the form $$-\mathbb{S}=-\sum_{a=1}^{R}S_{*}^{(a)}+Δ\int d^2 x \sum_{\substack{a,b=1\\ a\neq b}}^{R}φ^{(a)}(x)φ^{(b)}(x).$$ Here $φ$ is a scaling field belonging to the CFT …

Die ePetition 181398 an den Bundestag aus dem Bereich Gesetzliche Krankenversicherung - Beiträge mit dem Titel
Angleichung der GKV- Beitragsbemessungsgrenze an die höhere RV-Beitragsbemessungsgrenze
kann bis zum Dienstag 15. Juli 2025 01:00 UTC mitgezeichnet werden und lautet
Mit der Petition wird die Anpassung der Beitragsbemessungsgrenze (BBG) in der gesetzlichen Krankenversicherung (GKV) auf die Höhe der BBG in der Rentenversicherung (RV) angeregt.
und wird begründ…

Warum die Krankenkassenbeiträge stark steigen könnten
Gesetzlich Krankenversicherte müssen nächstes Jahr mit höheren Beiträgen rechnen. Denn der GKV-Schätzerkreis hat mit seiner Prognose eine deutliche Anhebung empfohlen. Woran liegt das? Und was bedeutet das für Versicherte?

Hey, folks who understand alt text and limited vision accessibility:
I have need to write alt text for the diagram below. The alt text needs to be comprehensible to somebody who is encountering this kind of diagram for the ••very first time••. I could describe the images using the relevant jargon, but that would only serve people who already know the thing this activity is teaching them!
Any suggestions for how I could write good alt text for something like this? Is it possible? (The horizontal black bars are minus signs, i.e. subtraction. This is clear from context in the text, but probably not clear in the image.)
PLEASE NOTE: I am looking for people with ••relevant accessibility expertise••, not just random best shots from people who (like me) don’t really know much about this kind of problem.

Multi-Source COVID-19 Detection via Variance Risk Extrapolation
Runtian Yuan, Qingqiu Li, Junlin Hou, Jilan Xu, Yuejie Zhang, Rui Feng, Hao Chen
https://arxiv.org/abs/2506.23208

Multi-Source COVID-19 Detection via Variance Risk Extrapolation
We present our solution for the Multi-Source COVID-19 Detection Challenge, which aims to classify chest CT scans into COVID and Non-COVID categories across data collected from four distinct hospitals and medical centers. A major challenge in this task lies in the domain shift caused by variations in imaging protocols, scanners, and patient populations across institutions. To enhance the cross-domain generalization of our model, we incorporate Variance Risk Extrapolation (VREx) into the training…

IRS on orbits and the case of $SL(2, \mathbb{R} ) \ltimes \mathbb{R} ^2$
Manoj Choudhuri, C. R. E. Raja
https://arxiv.org/abs/2506.09723 https://

IRS on orbits and the case of $SL(2, \mathbb{R} ) \ltimes \mathbb{R} ^2$
Let $G$ be a connected Lie group and $\text{Sub}_G$ be the space of closed subgroups of $G$ equipped with the Chabauty topology. In this article, we investigate the existence of invariant random subgroups of $G$ supported on various orbits of the conjugation action of $G$ on $\text{Sub}_G$. We also find the orbit closure for each of these orbits in the case of the Lie group $G=\SL(2,\mathbb{R})\ltimes \mathbb{R}^2$.

A generative modeling / Physics-Informed Neural Network approach to random differential equations
Georgios Arampatzis, Stylianos Katsarakis, Charalambos Makridakis
https://arxiv.org/abs/2507.01687

A generative modeling / Physics-Informed Neural Network approach to random differential equations
The integration of Scientific Machine Learning (SciML) techniques with uncertainty quantification (UQ) represents a rapidly evolving frontier in computational science. This work advances Physics-Informed Neural Networks (PINNs) by incorporating probabilistic frameworks to effectively model uncertainty in complex systems. Our approach enhances the representation of uncertainty in forward problems by combining generative modeling techniques with PINNs. This integration enables in a systematic fas…

Localization and top eigenvalue detection
Diego Tapias, Benedikt Gr\"uger, Reimer K\"uhn, Peter Sollich
https://arxiv.org/abs/2507.07310 https://…

Localization and top eigenvalue detection
The detection of the top eigenvalue and its corresponding eigenvector in ensembles of random matrices has significant applications across various fields. An existing method, based on the linear stability of a complementary set of cavity equations, has been successful in identifying the top eigenvalue when the associated eigenvector is extended. However, this approach fails when the eigenvector is localized. In this work, we adapt the real-valued cavity method to address this limitation by intro…

On Apl 4, 2023 I watched
𝗕𝗔𝗬𝗪𝗔𝗧𝗖𝗛 Season 6 Episode 19 “𝗙𝗼𝗿𝗯𝗶𝗱𝗱𝗲𝗻 𝗣𝗮𝗿𝗮𝗱𝗶𝘀𝗲: 𝗽𝗮𝗿𝘁 𝟭” 22 Apr 96 #PamelaAnderson #AlexandraPaul #DavidCharvet