Tootfinder

The matrix weighted real-analytic double fibration transforms
Hiroyuki Chihara, Shubham R. Jathar, Jesse Railo
https://arxiv.org/abs/2506.24067 https://

The matrix weighted real-analytic double fibration transforms
We show that the real-analytic matrix-weighted double fibration transform determines the analytic wavefront set of a vector-valued function. We apply this result to show that the matrix weighted ray transform is injective on a two-dimensional, non-trapping, real-analytic Riemannian manifold with strictly convex boundary. Additionally, we show that a real-analytic Higgs field can be uniquely determined from the nonabelian ray transform on real-analytic Riemannian manifolds of any dimension with …

Wenn ihr im Süden von #Hamburg wohnt oder im Landkreis #Harburg und gerne frisches Bio-Gemüse aus einer Solidarischen Landwirtschaft beziehen möchtet, dann ist jetzt der Moment – denn:
Nur noch heute 31.07. ist eine Anmeldung bei der

Bridging Service Design, Visualizations, and Visual Analytics in Healthcare Digital Twins: Challenges, Gaps, and Research Opportunities
Mariia Ershova, Graziano Blasilli
https://arxiv.org/abs/2506.24104

Bridging Service Design, Visualizations, and Visual Analytics in Healthcare Digital Twins: Challenges, Gaps, and Research Opportunities
Digital twins (DT) are increasingly used in healthcare to model patients, processes, and physiological systems. While recent solutions leverage visualization, visual analytics, and user interaction, these systems rarely incorporate structured service design methodologies. Bridging service design with visual analytics and visualization can be valuable for the healthcare DT community. This paper aims to introduce the service design discipline to visualization researchers by framing this integrati…

A Segmentation Framework for Accurate Diagnosis of Amyloid Positivity without Structural Images
Penghan Zhu, Shurui Mei, Shushan Chen, Xiaobo Chu, Shanbo He, Ziyi Liu
https://arxiv.org/abs/2507.22336

A Segmentation Framework for Accurate Diagnosis of Amyloid Positivity without Structural Images
This study proposes a deep learning-based framework for automated segmentation of brain regions and classification of amyloid positivity using positron emission tomography (PET) images alone, without the need for structural MRI or CT. A 3D U-Net architecture with four layers of depth was trained and validated on a dataset of 200 F18-florbetapir amyloid-PET scans, with an 130/20/50 train/validation/test split. Segmentation performance was evaluated using Dice similarity coefficients across 30 br…

🚀 Am 08.09. startet die diesjährige Edirom Summer School! Wir freuen uns auf eine spannende Woche mit Themen rund um digitale Editionen, TEI, MEI, FDM und vieles mehr. Die Anmeldung läuft noch bis zum 30.08. und es sind noch Plätze frei!
Es wird auch eine Poster Session geben (Bewerbungsfrist 15.08.), schickt hierfür eine kurze Beschreibung eures Beitrags an das ESS-Team.
➡️ Weitere Infos dazu, zum Programm und der Anmeldung, findet ihr hier:

Viele Nutzer von #Balkonkraftwerken mit #Batteriespeicher sind unsicher, ob und wie sie ihre Geräte anmelden müssen.
Die Vorgaben variieren je nach #Netzbetreiber, Gerätet…

Balkonkraftwerke: Verwirrung um Anmeldepflicht für Batteriespeicher - Golem.de
Wie müssen Nutzer von Balkonkraftwerken ihre Batteriespeicher anmelden? Ein Solarverband widerspricht Netzbetreibern und anderen Experten.

Revisiting Graph Analytics Benchmark
Lingkai Meng, Yu Shao, Long Yuan, Longbin Lai, Peng Cheng, Xue Li, Wenyuan Yu, Wenjie Zhang, Xuemin Lin, Jingren Zhou
https://arxiv.org/abs/2506.21811

Revisiting Graph Analytics Benchmark
The rise of graph analytics platforms has led to the development of various benchmarks for evaluating and comparing platform performance. However, existing benchmarks often fall short of fully assessing performance due to limitations in core algorithm selection, data generation processes (and the corresponding synthetic datasets), as well as the neglect of API usability evaluation. To address these shortcomings, we propose a novel graph analytics benchmark. First, we select eight core algorithm…

One of the constant recurring topics on social media are stories of someone saying they don’t wash their legs, or they don’t use a washcloth, or they don’t take showers for a week. I wrote about why those stories always blow up. https://www.anildash.com/2025/05/29/who-is-clean/…

Who washes their hands?
A blog about making culture. Since 1999.

Towards Operational Data Analytics Chatbots -- Virtual Knowledge Graph is All You Need
Junaid Ahmed Khan, Hiari Pizzini Cavagna, Andrea Proia, Andrea Bartolini
https://arxiv.org/abs/2506.22267

Towards Operational Data Analytics Chatbots -- Virtual Knowledge Graph is All You Need
With generative artificial intelligence challenging computational scientific computing, data centers are experiencing unprecedented growth in both scale and volume. As a result, computing efficiency has become more critical than ever. Operational Data Analytics (ODA) relies on the collection of data center telemetry to improve efficiency, but so far has been focusing on real-time telemetry data visualization and post-mortem analysis. However, with NoSQL databases now serving as the default stor…

A visual analytics tool for taxonomy-based trajectory data exploration
Ivan A. Hanono Cozzetti, Ahmad Abdou
https://arxiv.org/abs/2507.22899 https://arxiv.…

A visual analytics tool for taxonomy-based trajectory data exploration
The analysis of spatio-temporal data presents significant challenges due to the complexity and heterogeneity of movement patterns. This project proposes a data analytics tool that combines data visualization and statistical computation to facilitate spatio-temporal data analysis through a multi-level approach. The tool categorizes moving objects into distinct taxonomies using Machine Learning models, adding meaningful structure to the analysis. Two case studies demonstrate the methodology's eff…