Tootfinder

Amazon has launched a new
“one-click to quit the union” tool,
and they’re relentlessly pushing it to every worker in their Coventry warehouse.
The QR code for the tool is displayed on each table in the canteen, in every meeting and training room, in every hallway, and every toilet, as well as shown every five minutes of the working day in screens at the centre of the warehouse.
If a worker scans the QR code and clicks the link, Amazon’s software automatically generates…

Legal challenge to Amazon UK's new "one-click to quit the union" tool - Foxglove
Following the news that Amazon warehouse workers in Coventry will soon get to vote on Trade Union recognition, Foxglove is supporting five workers at the Amazon UK Coventry warehouse to launch a legal challenge of Amazon’s latest union-busting tactic.

🔊 #NowPlaying on BBCRadio2's #SoundsOfThe70sWithJohnnieWalker
B.J. Thomas:
🎵 Raindrops Keep Falling On My Head
#BJThomas
https://open.spotify.com/track/2s1Yh0AywJhLsKKZ9vM0tm
https://bjthomas.bandcamp.com/track/raindrops-keep-falling-on-my-head

Laut Beschreibung ist dies eine ehemalige "Mietskasernen" und das Gerichtsgebäude in der sehenswerten Stadt #Bamberg. #Reise

People say that they should teach "filling our your taxes" in school.
My 22 year old did their own taxes this year, and the most difficult part of doing their taxes was "creating a login to the state DOR website in order to submit them", and asking me for where the 1095-C document that I had on their behalf was.
"Doing your taxes" is annoying for many reasons, but the reasons aren't ones that can be resolved by teaching the process in school.

Self-supervised learning for classifying paranasal anomalies in the maxillary sinus
Debayan Bhattacharya, Finn Behrendt, Benjamin Tobias Becker, Lennart Maack, Dirk Beyersdorff, Elina Petersen, Marvin Petersen, Bastian Cheng, Dennis Eggert, Christian Betz, Anna Sophie Hoffmann, Alexander Schlaefer
https://arxiv.org/abs/2404.18599 https://arxiv.org/pdf/2404.18599
arXiv:2404.18599v1 Announce Type: new
Abstract: Purpose: Paranasal anomalies, frequently identified in routine radiological screenings, exhibit diverse morphological characteristics. Due to the diversity of anomalies, supervised learning methods require large labelled dataset exhibiting diverse anomaly morphology. Self-supervised learning (SSL) can be used to learn representations from unlabelled data. However, there are no SSL methods designed for the downstream task of classifying paranasal anomalies in the maxillary sinus (MS).
Methods: Our approach uses a 3D Convolutional Autoencoder (CAE) trained in an unsupervised anomaly detection (UAD) framework. Initially, we train the 3D CAE to reduce reconstruction errors when reconstructing normal maxillary sinus (MS) image. Then, this CAE is applied to an unlabelled dataset to generate coarse anomaly locations by creating residual MS images. Following this, a 3D Convolutional Neural Network (CNN) reconstructs these residual images, which forms our SSL task. Lastly, we fine-tune the encoder part of the 3D CNN on a labelled dataset of normal and anomalous MS images.
Results: The proposed SSL technique exhibits superior performance compared to existing generic self-supervised methods, especially in scenarios with limited annotated data. When trained on just 10% of the annotated dataset, our method achieves an Area Under the Precision-Recall Curve (AUPRC) of 0.79 for the downstream classification task. This performance surpasses other methods, with BYOL attaining an AUPRC of 0.75, SimSiam at 0.74, SimCLR at 0.73 and Masked Autoencoding using SparK at 0.75.
Conclusion: A self-supervised learning approach that inherently focuses on localizing paranasal anomalies proves to be advantageous, particularly when the subsequent task involves differentiating normal from anomalous maxillary sinuses. Access our code at https://github.com/mtec-tuhh/self-supervised-paranasal-anomaly

I was going to post a question on Reddit about what two or three comics I should start reading that would be relatively easy to get caught up on and have good characters with little to no triggery stuff in them and have some fantasy or space opera elements, but then I realized that literally any subreddit I would post in would immediately ban my post for failing to follow some obscure rule about asking research questions and I’d be admonished by some mod for failing to have already ingested seventeen years of that specific /r/‘s culture and mores.
EDIT: because this is getting all the right kinds of lovely folk boosting—stuff I love in comic books would be things like Catherine Asaro’s Major Bhaajan, steampunk elements (god I don’t have the energy to catch up on Girl Genius but I used to love it), Honor Harrington, Xena Warrior Princess, anything hopeful future like Star Trek, the anime series Trinity Blood, no fae sexy shit because I already know how to find ACOTAR on Libby and I don’t need an illustrated guide, and whimsy eg a Psalm For The Wild-Built.

People say that they should teach "filling our your taxes" in school.
My 22 year old did their own taxes this year, and the most difficult part of doing their taxes was "creating a login to the state DOR website in order to submit them", and asking me for where the 1095-C document that I had on their behalf was.
"Doing your taxes" is annoying for many reasons, but the reasons aren't ones that can be resolved by teaching the process in school.

LLM-R2: A Large Language Model Enhanced Rule-based Rewrite System for Boosting Query Efficiency
Zhaodonghui Li, Haitao Yuan, Huiming Wang, Gao Cong, Lidong Bing
https://arxiv.org/abs/2404.12872

LLM-R2: A Large Language Model Enhanced Rule-based Rewrite System for Boosting Query Efficiency
Query rewrite, which aims to generate more efficient queries by altering a SQL query's structure without changing the query result, has been an important research problem. In order to maintain equivalence between the rewritten query and the original one during rewriting, traditional query rewrite methods always rewrite the queries following certain rewrite rules. However, some problems still remain. Firstly, existing methods of finding the optimal choice or sequence of rewrite rules are still l…

U-Bahn-Feeling ganz ohne Fahrschein: Wir haben den neuen Penny Underground besucht. Wie es war, erfahrt ihr hier:
https://weddingweiser.de/underground-im-erdgeschoss/

An X-ray and radio view of the 2022 reactivation of the magnetar SGRJ1935 2154
A. Y. Ibrahim, A. Borghese, F. Coti Zelati, E. Parent, A. Marino, O. S. Ould-Boukattine, N. Rea, S. Ascenzi, D. P. Pacholski, S. Mereghetti, G. L. Israel, A. Tiengo, A. Possenti, M. Burgay, R. Turolla, S. Zane, P. Esposito, D. Gotz, S. Campana, F. Kirsten, M. P. Gawronski, J. W. T. Hessels

An X-ray and radio view of the 2022 reactivation of the magnetar SGRJ1935+2154
Recently, the Galactic magnetar SGR J1935+2154 has garnered attention due to its emission of an extremely luminous radio burst, reminiscent of Fast Radio Bursts (FRBs). SGR J1935+2154 is one of the most active magnetars, displaying flaring events nearly every year, including outbursts as well as short and intermediate bursts. Here, we present our results on the properties of the persistent and bursting X-ray emission from SGR J1935+2154, during the initial weeks following its outburst on Octobe…