Tootfinder

I don’t know how I feel about the fact that the Lockbit ransomware group administrator uses an iCloud email address.
https://infosec.exchange/@briankrebs/112400412635563508

BrianKrebs (@briankrebs@infosec.exchange)
Attached: 1 image Wow, the US govt finally made good on its doxing threat against the Lockbit ransomware group administrator LockbitSupp. This just released by OFAC: SPECIALLY DESIGNATED NATIONALS LIST UPDATE The following individual has been added to OFAC's SDN List: KHOROSHEV, Dmitry Yuryevich (a.k.a. KHOROSHEV, Dmitrii Yuryevich; a.k.a. KHOROSHEV, Dmitriy Yurevich; a.k.a. YURIEVICH, Dmitry; a.k.a. "LOCKBITSUPP"), Russia; DOB 17 Apr 1993; POB Russian Federation; nationality Russia; citizen …

In as much as this poll means anything (caveats about snapshots in time, being a single datapoint, etc.) these cross tabs make an important point.
We’re months away from most people, meaning non-political junkies, paying attention to these campaigns.
From: @…

Kathy E. Gill 🇺🇦 (@kegill@mastodon.social)
Attached: 1 image Trump leads Biden by 26 points among Americans not following political news. Biden leads Trump by 49 points among newspaper readers. 🤦🏼‍♀️🙁😳 https://www.nbcnews.com/politics/2024-election/poll-biden-trump-supporters-sharply-divided-media-consume-rcna149497 Chart: Presidential preference varies widely by news consumption

Alright, more progress. I figured it would be "nifty" if you could use an SD card and just read off of it to display images on the LED matrix. However, I also wanted a fairly straightforward file format to do that. It needed to be sequentially read and very simple. Right now this is what I've got and I think it will get the job done. #electronics

Scalable ATLAS pMSSM computational workflows using containerised REANA reusable analysis platform
Marco Donadoni, Matthew Feickert, Lukas Heinrich, Yang Liu, Audrius Me\v{c}ionis, Vladyslav Moisieienkov, Tibor \v{S}imko, Giordon Stark, Marco Vidal Garc\'ia
https://arxiv.org/abs/2403.03494

Scalable ATLAS pMSSM computational workflows using containerised REANA reusable analysis platform
In this paper we describe the development of a streamlined framework for large-scale ATLAS pMSSM reinterpretations of LHC Run-2 analyses using containerised computational workflows. The project is looking to assess the global coverage of BSM physics and requires running O(5k) computational workflows representing pMSSM model points. Following ATLAS Analysis Preservation policies, many analyses have been preserved as containerised Yadage workflows, and after validation were added to a curated sel…

Deep learning classifier of locally advanced rectal cancer treatment response from endoscopy images
Jorge Tapias Gomez, Aneesh Rangnekar, Hannah Williams, Hannah Thompson, Julio Garcia-Aguilar, Joshua Jesse Smith, Harini Veeraraghavan
https://arxiv.org/abs/2405.03762

Deep learning classifier of locally advanced rectal cancer treatment response from endoscopy images
We developed a deep learning classifier of rectal cancer response (tumor vs. no-tumor) to total neoadjuvant treatment (TNT) from endoscopic images acquired before, during, and following TNT. We further evaluated the network's ability in a near out-of-distribution (OOD) problem to identify local regrowth (LR) from follow-up endoscopy images acquired several months to years after completing TNT. We addressed endoscopic image variability by using optimal mass transport-based image harmonization. W…

This https://arxiv.org/abs/2403.04942 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_…

Expected Impact of Glints from Space Debris in the LSST
We examine the simple model put forth in a recent note by Loeb regarding the brightness of space debris in the size range of 1-10 cm and their impact on the Rubin Observatory Legacy Survey of Space and Time (LSST) transient object searches. Their main conclusion was that "image contamination by untracked space debris might pose a bigger challenge [than large commercial satellite constellations in LEO]". Following corrections and improvements to this model, we calculate the apparent brightness o…

Laser wakefield acceleration of ions with a transverse flying focus
Zheng Gong, Sida Cao, John P. Palastro, Matthew R. Edwards
https://arxiv.org/abs/2405.02690

Laser wakefield acceleration of ions with a transverse flying focus
The extreme electric fields created in high-intensity laser-plasma interactions could generate energetic ions far more compactly than traditional accelerators. Despite this promise, laser-plasma accelerators have remained stagnant at maximum ion energies of 100 MeV/nucleon for the last twenty years. The central challenge is the low charge-to-mass ratio of ions, which has precluded one of the most successful approaches used for electrons: laser wakefield acceleration. Here we show that a laser p…

The #NewYorkTimes has been and will continue to be a far-right-wing rag in a business suit.
Please stop giving them your money or your attention.
#NYTimes #propaganda

Jeff Jarvis (@jeffjarvis@mastodon.social)
Attached: 1 image The fucking Times. It follows up yesterday's awful poll with another. That they even asked this question is evidence of the bias--the agenda--in their poll. Who made age an "issue"? The credulous Times falling into the right-wing's projection. This is not journalism. Shameful.

Wait. Magic isn't real? 😂
Seriously, did anyone really think this was some kind of AI or "disruptive tech"?
I've always suspected this was more Flinstones technology than modern innovation.
"Though it seemed completely automated, Just Walk Out relied on more than 1,000 people in India watching and labeling videos to ensure accurate checkouts. The cashiers were simply moved off-site, and they watched you as you shopped."

Amazon Ditches 'Just Walk Out' Checkouts at Its Grocery Stores
Amazon Fresh is moving away from a feature of its grocery stores where customers could skip checkout altogether.

Bayesian and Convolutional Networks for Hierarchical Morphological Classification of Galaxies
Jonathan Serrano-P\'erez, Raquel D\'iaz Hern\'andez, L. Enrique Sucar
https://arxiv.org/abs/2405.02366

Bayesian and Convolutional Networks for Hierarchical Morphological Classification of Galaxies
This work is focused on the morphological classification of galaxies following the Hubble sequence in which the different classes are arranged in a hierarchy. The proposed method, BCNN, is composed of two main modules. First, a convolutional neural network (CNN) is trained with images of the different classes of galaxies (image augmentation is carried out to balance some classes); the CNN outputs the probability for each class of the hierarchy, and its outputs/predictions feed the second module…