Tootfinder

"Some notes on Medieval English genealogy" regular updates at:
http://www.medievalgenealogy.org.uk/updates/update.shtml Not just for genealogists but for anyone at all interested in 'broadly' the medieval period in England.

On the Feasibility of Poisoning Text-to-Image AI Models via Adversarial Mislabeling
Stanley Wu, Ronik Bhaskar, Anna Yoo Jeong Ha, Shawn Shan, Haitao Zheng, Ben Y. Zhao
https://arxiv.org/abs/2506.21874

On the Feasibility of Poisoning Text-to-Image AI Models via Adversarial Mislabeling
Today's text-to-image generative models are trained on millions of images sourced from the Internet, each paired with a detailed caption produced by Vision-Language Models (VLMs). This part of the training pipeline is critical for supplying the models with large volumes of high-quality image-caption pairs during training. However, recent work suggests that VLMs are vulnerable to stealthy adversarial attacks, where adversarial perturbations are added to images to mislead the VLMs into producing …

Involvement drives complexity of language in online debates
Eleonora Amadori, Daniele Cirulli, Edoardo Di Martino, Jacopo Nudo, Maria Sahakyan, Emanuele Sangiorgio, Arnaldo Santoro, Simon Zollo, Alessandro Galeazzi, Niccol\`o Di Marco
https://arxiv.org/abs/2506.22098

Involvement drives complexity of language in online debates
Language is a fundamental aspect of human societies, continuously evolving in response to various stimuli, including societal changes and intercultural interactions. Technological advancements have profoundly transformed communication, with social media emerging as a pivotal force that merges entertainment-driven content with complex social dynamics. As these platforms reshape public discourse, analyzing the linguistic features of user-generated content is essential to understanding their broad…

Transcutaneous Interference Spinal Cord Stimulation: Leadfield-Based Pareto Optimization of Electrode Montages for Improved Focality
Mariko Teragiwa, Leonel E. Medina, Alonso Carvajal, Kanata Yatsuda, Wenwei Yu, Jose Gomez-Tames
https://arxiv.org/abs/2506.21886

Transcutaneous Interference Spinal Cord Stimulation: Leadfield-Based Pareto Optimization of Electrode Montages for Improved Focality
Purpose: This study investigates the feasibility of transcutaneous interferential spinal cord stimulation (tISCS), a novel non-invasive neuromodulation method, using temporal interference to enhance focality and comfort in spinal cord stimulation. The central research question is whether tISCS can achieve targeted activation of spinal cord circuits while reducing unwanted stimulation of skin and muscle tissues, which are common limitations of conventional transcutaneous spinal cord stimulation …

All-polarisation beamsplitters for interferometer applications
S. L. Kranzhoff, Z. Van Ranst, J. De Bolle, S. Coessens, S. L. Danilishin, C. Detavernier, P. F. Smet, A. P. Spencer, J. Steinlechner, S. Steinlechner, M. Vardaro, S. Hild
https://arxiv.org/abs/2507.22866

All-polarisation beamsplitters for interferometer applications
Optical beamsplitters with similar properties for orthogonal, linear polarisation modes are required for realising polarisation-based speedmeter schemes to reduce back-action noise in gravitational-wave interferometers. In this paper, we investigate two beamsplitter coatings obtained from Laseroptik GmbH and Optoman on a best-effort basis that aim for a 50/50 power splitting ratio and equal overall phase shift for two orthogonal, linear polarisation modes interacting with the optic. We show tha…

TRIBE: TRImodal Brain Encoder for whole-brain fMRI response prediction
St\'ephane d'Ascoli, J\'er\'emy Rapin, Yohann Benchetrit, Hubert Banville, Jean-R\'emi King
https://arxiv.org/abs/2507.22229

TRIBE: TRImodal Brain Encoder for whole-brain fMRI response prediction
Historically, neuroscience has progressed by fragmenting into specialized domains, each focusing on isolated modalities, tasks, or brain regions. While fruitful, this approach hinders the development of a unified model of cognition. Here, we introduce TRIBE, the first deep neural network trained to predict brain responses to stimuli across multiple modalities, cortical areas and individuals. By combining the pretrained representations of text, audio and video foundational models and handling th…

Following trade with Steelers, Dolphins have 'their eye' on Raiders TE Michael Mayer https://raiderswire.usatoday.com/story/sports/nfl/raiders/2025/06/30/raiders-te…

A Soft Fabric-Based Thermal Haptic Device for VR and Teleoperation
Rui Chen, Domenico Chiaradia, Antonio Frisoli, Daniele Leonardis
https://arxiv.org/abs/2508.20831 https://

A Soft Fabric-Based Thermal Haptic Device for VR and Teleoperation
This paper presents a novel fabric-based thermal-haptic interface for virtual reality and teleoperation. It integrates pneumatic actuation and conductive fabric with an innovative ultra-lightweight design, achieving only 2~g for each finger unit. By embedding heating elements within textile pneumatic chambers, the system delivers modulated pressure and thermal stimuli to fingerpads through a fully soft, wearable interface. Comprehensive characterization demonstrates rapid thermal modulation w…

Chromatic quasisymmetric functions for signed graphs
Jean-Christophe Aval, Raquel Melgar
https://arxiv.org/abs/2508.20200 https://arxiv.org/pdf/2508.20200

Chromatic quasisymmetric functions for signed graphs
In 1995, Stanley introduced the chromatic symmetric function of a graph, which specializes to its chromatic polynomial, and which has been the focus of intense research. In 2017, Shareshian, Wachs, and Ellzey defined a refinement of this function for a directed graph, that appears to be in $QSym$, the algebra of quasisymmetric functions, which is of great interest in algebraic combinatorics. Our goal is to extend this work to signed graphs, taking into account the perspective of the hyperplane …

NeuroCLIP: A Multimodal Contrastive Learning Method for rTMS-treated Methamphetamine Addiction Analysis
Chengkai Wang, Di Wu, Yunsheng Liao, Wenyao Zheng, Ziyi Zeng, Xurong Gao, Hemmings Wu, Zhoule Zhu, Jie Yang, Lihua Zhong, Weiwei Cheng, Yun-Hsuan Chen, Mohamad Sawan
https://arxiv.org/abs/2507.20189

NeuroCLIP: A Multimodal Contrastive Learning Method for rTMS-treated Methamphetamine Addiction Analysis
Methamphetamine dependence poses a significant global health challenge, yet its assessment and the evaluation of treatments like repetitive transcranial magnetic stimulation (rTMS) frequently depend on subjective self-reports, which may introduce uncertainties. While objective neuroimaging modalities such as electroencephalography (EEG) and functional near-infrared spectroscopy (fNIRS) offer alternatives, their individual limitations and the reliance on conventional, often hand-crafted, feature…