Tootfinder

Analysis: agencies have hired hundreds of thousands of "chatters" to impersonate 4M OnlyFans creators, as many Filipino chatters struggle with mental health (Michael Beltran/Nikkei Asia)
https://asia.nikkei.com/spotlight/soci

Filipino OnlyFans 'chatters' struggle with mental health, job security
Unrelenting, desensitizing work, lack of protections among biggest complaints

Wiem, że się powtarzam (do tego stopnia, że nawet numer pociągu ten sam), ale dziś mam ostre zdjęcie.
"Pani #piła, pan pił"
#mikol

Analysis: agencies have hired hundreds of thousands of "chatters" to impersonate 4M OnlyFans creators, as many Filipino chatters struggle with mental health (Michael Beltran/Nikkei Asia)
https://asia.nikkei.com/spotlight/soci

Filipino OnlyFans 'chatters' struggle with mental health, job security
Unrelenting, desensitizing work, lack of protections among biggest complaints

Bayesian Physics Informed Neural Networks for Reliable Transformer Prognostics
Ibai Ramirez, Jokin Alcibar, Joel Pino, Mikel Sanz, David Pardo, Jose I. Aizpurua
https://arxiv.org/abs/2509.15933

Bayesian Physics Informed Neural Networks for Reliable Transformer Prognostics
Scientific Machine Learning (SciML) integrates physics and data into the learning process, offering improved generalization compared with purely data-driven models. Despite its potential, applications of SciML in prognostics remain limited, partly due to the complexity of incorporating partial differential equations (PDEs) for ageing physics and the scarcity of robust uncertainty quantification methods. This work introduces a Bayesian Physics-Informed Neural Network (B-PINN) framework for proba…

Training Variational Quantum Circuits Using Particle Swarm Optimization
Marco Mordacci, Michele Amoretti
https://arxiv.org/abs/2509.15726 https://arxiv.org…

Training Variational Quantum Circuits Using Particle Swarm Optimization
In this work, the Particle Swarm Optimization (PSO) algorithm has been used to train various Variational Quantum Circuits (VQCs). This approach is motivated by the fact that commonly used gradient-based optimization methods can suffer from the barren plateaus problem. PSO is a stochastic optimization technique inspired by the collective behavior of a swarm of birds. The dimension of the swarm, the number of iterations of the algorithm, and the number of trainable parameters can be set. In this …

A Matter of Height: The Impact of a Robotic Object on Human Compliance
Michael Faber, Andrey Grishko, Julian Waksberg, David Pardo, Tomer Leivy, Yuval Hazan, Emanuel Talmansky, Benny Megidish, Hadas Erel
https://arxiv.org/abs/2509.16032

A Matter of Height: The Impact of a Robotic Object on Human Compliance
Robots come in various forms and have different characteristics that may shape the interaction with them. In human-human interactions, height is a characteristic that shapes human dynamics, with taller people typically perceived as more persuasive. In this work, we aspired to evaluate if the same impact replicates in a human-robot interaction and specifically with a highly non-humanoid robotic object. The robot was designed with modules that could be easily added or removed, allowing us to chan…

Re-imagining Behavioral Sleep Medicine: Designing Conversational Sleep Diary and Visualization Tool
Amama Mahmood, Bokyung Kim, Honghao Zhao, Molly E. Atwood, Luis F. Buenaver, Michael T. Smith, Chien-Ming Huang
https://arxiv.org/abs/2509.15378

Re-imagining Behavioral Sleep Medicine: Designing Conversational Sleep Diary and Visualization Tool
The sleep diary is a widely used clinical tool for understanding sleep disorders; however, low patient compliance and limited capture of contextual information constrain its effectiveness and leave specialists with an incomplete picture of patients' sleep-related behaviors. In this work, we re-imagine Behavioral Sleep Medicine (BSM) by designing a voice-based conversational sleep diary and specialist-facing visualization tool. Through this design process, we probed specialists' vision of how co…

The Missing Piece: A Case for Pre-Training in 3D Medical Object Detection
Katharina Eckstein, Constantin Ulrich, Michael Baumgartner, Jessica K\"achele, Dimitrios Bounias, Tassilo Wald, Ralf Floca, Klaus H. Maier-Hein
https://arxiv.org/abs/2509.15947

The Missing Piece: A Case for Pre-Training in 3D Medical Object Detection
Large-scale pre-training holds the promise to advance 3D medical object detection, a crucial component of accurate computer-aided diagnosis. Yet, it remains underexplored compared to segmentation, where pre-training has already demonstrated significant benefits. Existing pre-training approaches for 3D object detection rely on 2D medical data or natural image pre-training, failing to fully leverage 3D volumetric information. In this work, we present the first systematic study of how existing pre…

I’d like to make it clear that I in no way feel entitled to be the first one to make NixOS work on musl, in fact I’d even prefer if someone else did it first and shared their config so I could copy it!

Impact of Single Rotations and Entanglement Topologies in Quantum Neural Networks
Marco Mordacci, Michele Amoretti
https://arxiv.org/abs/2509.15722 https://

Impact of Single Rotations and Entanglement Topologies in Quantum Neural Networks
In this work, an analysis of the performance of different Variational Quantum Circuits is presented, investigating how it changes with respect to entanglement topology, adopted gates, and Quantum Machine Learning tasks to be performed. The objective of the analysis is to identify the optimal way to construct circuits for Quantum Neural Networks. In the presented experiments, two types of circuits are used: one with alternating layers of rotations and entanglement, and the other, similar to the …