Tootfinder

it seems there is a problem with #passkeys when multiple clients want to use the same login. even though with password managers storing passwords this is solved, with passkeys this looks like a nightmare. https://

One does not simply implement passkeys
Cover image by Neil Moralee: (Thanks for Michal Kamensky for proof-reading and providing feedback and discussion on this post 😀) Table of Contents Table of ContentsIntroductionDetailed walk-through…

Swift monitoring of GK Persei during the 2018 dwarf nova outburst
Songpeng Pei, Marina Orio, Xiaowan Zhang
https://arxiv.org/abs/2403.05328 https://…

Swift monitoring of GK Persei during the 2018 dwarf nova outburst
The old nova and intermediate polar (IP) GK Persei underwent one of its recurrent dwarf nova (DN) outbursts in 2018. We proposed monitoring it in UV and X-rays with the Neil Gehrels Swift Observatory, starting less than six days after the eruption, until 16 days after the eruption ended. For the first time we could follow the decay to minimum light UV and X-rays. We present the timing and spectral analysis, comparing the results with the previous outbursts and with the quiescent status. We conf…

Mais um mês, mais leituras. Comecei uma ousada #MaratonaCortázar, passando pela primeira de suas muitas coleções de contos. Também houve espaço para o fantšstico (de) Neil Gaiman e a ficção científica de Isaac Asimov, Maikel Rosa e Fernando Rômbola.

Março fantástico e científico – Livros e contos lidos
Março teve contos e romances, do realismo fantástico de Cortázar à magia de Gaiman e à SciFi de Asimov, Rosa e Rômbola. Vem pra resenha!

Robust Federated Learning Mitigates Client-side Training Data Distribution Inference Attacks
Yichang Xu, Ming Yin, Minghong Fang, Neil Zhenqiang Gong
https://arxiv.org/abs/2403.03149

Robust Federated Learning Mitigates Client-side Training Data Distribution Inference Attacks
Recent studies have revealed that federated learning (FL), once considered secure due to clients not sharing their private data with the server, is vulnerable to attacks such as client-side training data distribution inference, where a malicious client can recreate the victim's data. While various countermeasures exist, they are not practical, often assuming server access to some training data or knowledge of label distribution before the attack. In this work, we bridge the gap by proposing I…

Nearly 8 years later I’ll be speaking again about why it’s not to late to upstream your legacy Linux based platform in 2 weeks time at #EOSS24 #ELCNA @ Seattle !

Mais um mês, mais leituras. Comecei uma ousada #MaratonaCortázar, passando pela primeira de suas muitas coleções de contos. Também houve espaço para o fantšstico (de) Neil Gaiman e a ficção científica de Isaac Asimov, Maikel Rosa e Fernando Rômbola.

Março fantástico e científico – Livros e contos lidos
Março teve contos e romances, do realismo fantástico de Cortázar à magia de Gaiman e à SciFi de Asimov, Rosa e Rômbola. Vem pra resenha!

#NowPlaying - #NeilYoung will always be known as the first-take/best-take/preferably-under-a-full-moon guy, but the ongoing avalanche of mid-'70s lost albums & box sets & loosie outtakes on his streaming service all point to him actually being a totally ruthless self editor. anyway, &quot…

@… https://onlycastlesburning.substack.com/

Only Castles Burning | Keith Pishnery | Substack
Writing about the works of Neil Young in some kind of order. Click to read Only Castles Burning, by Keith Pishnery, a Substack publication. Launched 2 years ago.

This https://arxiv.org/abs/2402.04551 has been replaced.
link: https://scholar.google.com/scholar?q=a

Gamma-ray Bursts as Distance Indicators by a Statistical Learning Approach
Gamma-ray bursts (GRBs) can be probes of the early universe, but currently, only 26% of GRBs observed by the Neil Gehrels Swift Observatory GRBs have known redshifts ($z$) due to observational limitations. To address this, we estimated the GRB redshift (distance) via a supervised statistical learning model that uses optical afterglow observed by Swift and ground-based telescopes. The inferred redshifts are strongly correlated (a Pearson coefficient of 0.93) with the observed redshifts, thus pro…

Optical and soft X-ray light-curve analysis during the 2022 eruption of U Scorpii: structural changes in the accretion disk
Katsuki Muraoka, Naoto Kojiguchi, Junpei Ito, Daisaku Nogami, Taichi Kato, Yusuke Tampo, Kenta Taguchi, Keisuke Isogai, Teofilo Arranz, John Blackwell, David Blane, Stephen M. Brincat, Graeme Coates, Walter Cooney, Shawn Dvorak, Charles Galdies, Daniel Glomski, Franz-Josef Hambsch, Barbara Harris, John Hodge, Jose Hernandez Verdejo, Marco Iozzi, Hiroshi Itoh, Seii…

Optical and soft X-ray light-curve analysis during the 2022 eruption of U Scorpii: structural changes in the accretion disk
We present our optical photometric observations of the 2022 eruption of the recurrent nova U Scorpii (U Sco) using 49,152 data points over 70 d following the optical peak. We have also analyzed its soft X-ray (0.3--1 keV) light curve by the Neil Gehrels Swift Observatory. During the 2022 eruption, the optical plateau stage started 13.8--15.0 d and ended 23.8--25.0 d after the optical peak. The soft X-ray stage started 14.6--15.3 d and ended 38.7--39.5 d after the optical peak. Both stages start…

Physics-informed generative model for drug-like molecule conformers
David C. Williams, Neil Imana
https://arxiv.org/abs/2403.07925 https://

Physics-informed generative model for drug-like molecule conformers
We present a diffusion-based, generative model for conformer generation. Our model is focused on the reproduction of bonded structure and is constructed from the associated terms traditionally found in classical force fields to ensure a physically relevant representation. Techniques in deep learning are used to infer atom typing and geometric parameters from a training set. Conformer sampling is achieved by taking advantage of recent advancements in diffusion-based generation. By training on la…