Tootfinder

Eight EU consumer rights groups lodge GDPR complaints with national data protection authorities, accusing Meta of coercing users with its "pay-or-consent" model (Natasha Lomas/TechCrunch)
https://techcrunch.com/2024/02/28/meta-consent-or-p…

Meta's 'consent or pay' data grab in EU faces fresh charges of privacy coercion | TechCrunch
A controversial move by Meta last year, when it switched to charging users in the Europe Union for an ad-free subscription for access Facebook and/or Meta is facing a fresh set of complaints from consumer protection authorities in the EU over a controversial switch to charging users for an ad-free subscription unless they agree to being tracked and profiled for ad targeting.

I'm very familiar with the red-tape and hoop-jumping that is necessary to produce an official logo within #Cangov departments. I agree the strange and unexplained "Lego moose design" choice is truly odd, but it guaranteed had to go through numerous levels for approval.
It does irk me that the response to criticism is saying, "It was developed by DND's internal graphic …

This https://arxiv.org/abs/2307.03417 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_mat…

A short note on $π_1\mathrm{Diff}_{\partial} (D^{4k})$ for $k\geq 3$
Let $\mathrm{Diff}_{\partial}(D^{n})$ be the topological group of diffeomorphisms of $D^{n}$ which agree with the identity near the boundary. In this short note, we compute the fundamental groups $π_1 \mathrm{Diff}_{\partial}(D^{4k})$ for $k\geq 3$.

Eight EU consumer rights groups lodge GDPR complaints with national data protection authorities, accusing Meta of coercing users with its "pay-or-consent" model (Natasha Lomas/TechCrunch)
https://techcrunch.com/2024/02/28/meta-consent-or-p…

Meta's 'consent or pay' data grab in EU faces fresh charges of privacy coercion | TechCrunch
A controversial move by Meta last year, when it switched to charging users in the Europe Union for an ad-free subscription for access Facebook and/or Meta is facing a fresh set of complaints from consumer protection authorities in the EU over a controversial switch to charging users for an ad-free subscription unless they agree to being tracked and profiled for ad targeting.

More algorithmic results for problems of spread of influence in edge-weighted graphs with and without incentives
Siavash Askari, Manouchehr Zaker
https://arxiv.org/abs/2402.19257 …

More algorithmic results for problems of spread of influence in edge-weighted graphs with and without incentives
Many phenomena in real world social networks are interpreted as spread of influence between activated and non-activated network elements. These phenomena are formulated by combinatorial graphs, where vertices represent the elements and edges represent social ties between elements. A main problem is to study important subsets of elements (target sets or dynamic monopolies) such that their activation spreads to the entire network. In edge-weighted networks the influence between two adjacent verti…

Beyond the classification theorem of Cameron, Goethals, Seidel, and Shult
Hricha Acharya, Zilin Jiang
https://arxiv.org/abs/2404.13136 https://

Beyond the classification theorem of Cameron, Goethals, Seidel, and Shult
In 1976, Cameron, Goethals, Seidel, and Shult classified all the graphs with smallest eigenvalue at least $-2$ by relating such graphs to root systems that occur in the classification of semisimple Lie algebras. In this paper, extending their beautiful theorem, we give a complete classification of all connected graphs with smallest eigenvalue in $(-λ^*, -2)$, where $λ^* = ρ^{1/2} + ρ^{-1/2} \approx 2.01980$, and $ρ$ is the unique real root of $x^3 = x + 1$. Our result is the first classifi…

https://youtu.be/7TFbzGxHFaI?si=-gXUrfJV3_nPA22w
Don't agree with the low Weetabix score. However anything tastes better with brown sugar.

Longitudinal Mammogram Risk Prediction
Batuhan K. Karaman, Katerina Dodelzon, Gozde B. Akar, Mert R. Sabuncu
https://arxiv.org/abs/2404.19083 https://arxiv.org/pdf/2404.19083
arXiv:2404.19083v1 Announce Type: new
Abstract: Breast cancer is one of the leading causes of mortality among women worldwide. Early detection and risk assessment play a crucial role in improving survival rates. Therefore, annual or biennial mammograms are often recommended for screening in high-risk groups. Mammograms are typically interpreted by expert radiologists based on the Breast Imaging Reporting and Data System (BI-RADS), which provides a uniform way to describe findings and categorizes them to indicate the level of concern for breast cancer. Recently, machine learning (ML) and computational approaches have been developed to automate and improve the interpretation of mammograms. However, both BI-RADS and the ML-based methods focus on the analysis of data from the present and sometimes the most recent prior visit. While it is clear that temporal changes in image features of the longitudinal scans should carry value for quantifying breast cancer risk, no prior work has conducted a systematic study of this. In this paper, we extend a state-of-the-art ML model to ingest an arbitrary number of longitudinal mammograms and predict future breast cancer risk. On a large-scale dataset, we demonstrate that our model, LoMaR, achieves state-of-the-art performance when presented with only the present mammogram. Furthermore, we use LoMaR to characterize the predictive value of prior visits. Our results show that longer histories (e.g., up to four prior annual mammograms) can significantly boost the accuracy of predicting future breast cancer risk, particularly beyond the short-term. Our code and model weights are available at https://github.com/batuhankmkaraman/LoMaR.

This https://arxiv.org/abs/2303.08267 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_mat…

Koszul duality for Coxeter groups
We construct a "Koszul duality" equivalence relating the (diagrammatic) Hecke category attached to a Coxeter system and a given realization to the Hecke category attached to the same Coxeter system and the dual realization. This extends a construction of Beilinson-Ginzburg-Soergel and Bezrukavnikov-Yun in a geometric context, and of the first author with Achar, Makisumi and Williamson. As an application, we show that the combinatorics of the "tilting perverse sheaves" considered in arXiv:1802.0…

https://youtu.be/7TFbzGxHFaI?si=-gXUrfJV3_nPA22w
Don't agree with the low Weetabix score. However anything tastes better with brown sugar.