Well, the notifications for reposts and favs for my cloudflare error page finally stopped https://chaos.social/@FlohEinstein/115727872442211456 - but then first someone unearthed my phishy URL post
Yea I can’t imagine why anyone thought this dipshit was defending rape…I mean aside from the over half a dozen posts where he defended rape as “not immoral”, literally said “No. In fact, the word "rape"…didn't even exist until the 1800s.” and arguing that being “owned”* wasn’t “horrific”
Complete mystery why people went after him, must be some weird BlueSky thing. 😂
JFC
The similarity to the climate crisis is amazing - robust scientific research has identified a serious, life threatening problem - as well as what is needed to address that problem. But $€₱₹¥£ are flowing from customers who are unaware of the problem, and are seduced by marketing messages - in movies, TV shows, social media, and explicit advertisements. And there is huge profit from practices that are already resulting in injuries, illnesses and death, as well as economic losses. And
The similarity to the climate crisis is amazing - robust scientific research has identified a serious, life threatening problem - as well as what is needed to address that problem. But $€₱₹¥£ are flowing from customers who are unaware of the problem, and are seduced by marketing messages - in movies, TV shows, social media, and explicit advertisements. And there is huge profit from practices that are already resulting in injuries, illnesses and death, as well as economic losses. And
Estimating Spatially Resolved Radiation Fields Using Neural Networks
Felix Lehner, Pasquale Lombardo, Susana Castillo, Oliver Hupe, Marcus Magnor
https://arxiv.org/abs/2512.17654 https://arxiv.org/pdf/2512.17654 https://arxiv.org/html/2512.17654
arXiv:2512.17654v1 Announce Type: new
Abstract: We present an in-depth analysis on how to build and train neural networks to estimate the spatial distribution of scattered radiation fields for radiation protection dosimetry in medical radiation fields, such as those found in Interventional Radiology and Cardiology. Therefore, we present three different synthetically generated datasets with increasing complexity for training, using a Monte-Carlo Simulation application based on Geant4. On those datasets, we evaluate convolutional and fully connected architectures of neural networks to demonstrate which design decisions work well for reconstructing the fluence and spectra distributions over the spatial domain of such radiation fields. All used datasets as well as our training pipeline are published as open source in separate repositories.
toXiv_bot_toot
@… I totally ignored Facebook for three years or so.
I'm not sure why I revisited this year, it was probably to tell whether someone is still alive, after one of my 'death-of-friends-and-family' nightmares.
I found only two acquaintances dead, and one in a wheelchair following a stroke … not too bad, given our ages and the length of time th…
Some might say spending my retirement endlessly revisiting my books, films, and record collection is wallowing in my past, but frankly, I honestly don't remember most of them; it's more like getting trapped in a candy store 😅
As Cyber Threats Escalate, the National Vulnerability Database Is Falling Behind
The National Institute of Standards and Technology (NIST) is struggling.
It faces a growing backlog to process data in its vulnerability repository, which publicly shares information assessing and detailing mitigation solutions against new cyber exploits.
With nearly 1,800 new reported vulnerabilities sitting in a queue for analysis this year, delays in processing leave the United States increa…
Those who follow me may be feeling overwhelmed by the number of appeals for help from people in #Gaza that I'm reposting.
I am sorry; I feel overwhelmed myself. I cannot help most of these people. My resources are very limited. I can't tell you whether one person's need is more urgent than another's.
But this need is real and desperate. Bombs are still falling; aid is sti…
Sounds easy, looks nice: Crossmodal transfer of auditory processing fluency to visual object preference https://link.springer.com/article/10.3758/s13414-025-03177-5