Tootfinder

This https://arxiv.org/abs/2501.00417 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csSI_…

PureRank: A Parameter-Free Recursive Importance Measure for Network Nodes
Classical parameter-free centrality measures based on the recursive definition of importance (RDI), such as eigenvector centrality and Seeley centrality, are limited to strongly connected networks, while widely used methods like Katz centrality and PageRank rely on free parameters, such as the damping factor, to handle general networks. This motivates our central question: can an RDI-based importance (centrality) measure be defined for arbitrary networks without any tunable parameters? We answe…

tl;dr: Block logins from Tor Exit Nodes using Conditional Access
One thing we (as a community) lost when we started using IdP’s like #EntraID was the ability to easily block networks and IP addresses from accessing your login pages. The work-around with Entra is to create Conditional Access Network Locations along with a policy to block successful logins from those IPs and networks.

Optimizing SPION Labeling for Single-Cell Magnetic Microscopy
A. Pointner, D. Thalheim, S. Belasi, L. Heinen, C. Bonato, T. Luehmann, J. Meijer, R. Tietze, C. Alexiou, R. Schneider-Stock, R. Nagy
https://arxiv.org/abs/2505.20373

Optimizing SPION Labeling for Single-Cell Magnetic Microscopy
This study explores the correlation between iron mass on cell surfaces and the resultant magnetic field. Human colorectal cancer cells (HT29 line) were labeled with varying concentrations of SPIONs and imaged via a NV center widefield magnetic microscope. To assess the labeling efficacy, a convolutional neural network trained on simulated magnetic dipole data was utilized to reconstruct key labeling parameters on a cell-by-cell basis, including cell diameter, sensor proximity, and the iron mass…

Quality assessment of 3D human animation: Subjective and objective evaluation
Rim Rekik, Stefanie Wuhrer, Ludovic Hoyet, Katja Zibrek, Anne-H\'el\`ene Olivier
https://arxiv.org/abs/2505.23301

Quality assessment of 3D human animation: Subjective and objective evaluation
Virtual human animations have a wide range of applications in virtual and augmented reality. While automatic generation methods of animated virtual humans have been developed, assessing their quality remains challenging. Recently, approaches introducing task-oriented evaluation metrics have been proposed, leveraging neural network training. However, quality assessment measures for animated virtual humans that are not generated with parametric body models have yet to be developed. In this contex…

Are you looking to accurately measure your organisation's current progress on the path towards digital transformation?
Take the OAV Maturity Model survey!
Developed by the Network eAcademy team of the GÉANT project, it’s designed to help #NRENs and R&E organisations assess where they are on their Orchestration, Automation, and Virtualisation (OAV) journey, and map out the next st…

Orchestration, Automation and Virtualisation (OAV) Maturity Model: a tool to assess where you are and help you reach the next level | GÉANT CONNECT Online
Words: Maria Isabel Gandia Carriedo (CSUC) and Eldis Mujaric (CARNET) Organisations with advanced capabilities in Orchestration, Automation and Virtualisation (OAV) are more likely to succeed in their path towards digital transformation. But how can the progress in these areas be accurately measured? And how can organisations identify the actions needed to drive further advancement? Maturity Models

This https://arxiv.org/abs/2407.12683 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_qfi…

Information Flow in the FTX Bankruptcy: A Network Approach
This paper investigates the cryptocurrency network of the FTX exchange during the collapse of its native token, FTT, to understand how network structures adapt to significant financial disruptions, by exploiting vertex centrality measures. Using proprietary data on the transactional relationships between various cryptocurrencies, we construct the filtered correlation matrix to identify the most significant relations in the FTX and Binance markets. By using suitable centrality measures - closene…

This https://arxiv.org/abs/2502.17257 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_qbi…

What is a chemostat? Insights from hybrid dynamics and stochastic thermodynamics
At the microscopic scale, open chemical reaction networks are described by stochastic reactions that follow mass-action kinetics and are coupled to chemostats. We show that closed chemical reaction networks -- with specific stoichiometries imposed by mass-action kinetics -- behave like open ones in the limit where the abundances of a subset of species become macroscopic, thus playing the role of chemostats. We prove that this limit is thermodynamically consistent by recovering the local detaile…

NewsNet-SDF: Stochastic Discount Factor Estimation with Pretrained Language Model News Embeddings via Adversarial Networks
Shunyao Wang, Ming Cheng, Christina Dan Wang
https://arxiv.org/abs/2505.06864

NewsNet-SDF: Stochastic Discount Factor Estimation with Pretrained Language Model News Embeddings via Adversarial Networks
Stochastic Discount Factor (SDF) models provide a unified framework for asset pricing and risk assessment, yet traditional formulations struggle to incorporate unstructured textual information. We introduce NewsNet-SDF, a novel deep learning framework that seamlessly integrates pretrained language model embeddings with financial time series through adversarial networks. Our multimodal architecture processes financial news using GTE-multilingual models, extracts temporal patterns from macroecono…

This https://arxiv.org/abs/2502.15148 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_nli…

Antifragility and response to damage in the synchronization of oscillators on networks
In this paper, we introduce a mathematical framework to assess the impact of damage, defined as the reduction of weight in a specific link, on identical oscillator systems governed by the Kuramoto model and coupled through weighted networks. We analyze how weight modifications in a single link affect the system when its global function is to achieve the synchronization of coupled oscillators starting from random initial phases. We introduce different measures that allow the identification of ca…