Tootfinder

Was wie ein Traum klingt, wird in #Paris Realität! 😍
Hoffen wir, dass das Projekt #Verkehrswende wirklich zu weit fortgeschritten ist, um rückgängig gemacht zu werden.

Frust der Autolobby wächst: Wie eine Weltstadt zur Fahrradmetropole wurde
Seit zehn Jahren fährt Bürgermeisterin Anne Hidalgo einen resoluten Anti-Auto-Kurs, verbannte ältere Fahrzeuge aus der Stadt und ließ hunderte Kilometer Radwege bauen. Doch bald tritt sie ab - lebt ihre Fahrradrevolution fort?

H'mmm... My @forgejo instance has been hit very hard last night by AI crawlers, including from
* https://openai.com/gptbot (125,467 hits in 24 hours)
*

Sensitivity analysis of epidemic forecasting and spreading on networks with probability generating functions
Mariah C. Boudreau, William H. W. Thompson, Christopher M. Danforth, Jean-Gabriel Young, Laurent H\'ebert-Dufresne
https://arxiv.org/abs/2506.24103

Sensitivity analysis of epidemic forecasting and spreading on networks with probability generating functions
Epidemic forecasting tools embrace the stochasticity and heterogeneity of disease spread to predict the growth and size of outbreaks. Conceptually, stochasticity and heterogeneity are often modeled as branching processes or as percolation on contact networks. Mathematically, probability generating functions provide a flexible and efficient tool to describe these models and quickly produce forecasts. While their predictions are probabilistic-i.e., distributions of outcome-they depend determinist…

Optimizing Storytelling, Improving Audience Retention, and Reducing Waste in the Entertainment Industry
Andrew Cornfeld, Ashley Miller, Mercedes Mora-Figueroa, Kurt Samuels, Anthony Palomba
https://arxiv.org/abs/2506.00076

Optimizing Storytelling, Improving Audience Retention, and Reducing Waste in the Entertainment Industry
Television networks face high financial risk when making programming decisions, often relying on limited historical data to forecast episodic viewership. This study introduces a machine learning framework that integrates natural language processing (NLP) features from over 25000 television episodes with traditional viewership data to enhance predictive accuracy. By extracting emotional tone, cognitive complexity, and narrative structure from episode dialogue, we evaluate forecasting performance…

Campus5G: A Campus Scale Private 5G Open RAN Testbed
Andrew E. Ferguson, Ujjwal Pawar, Tianxin Wang, Mahesh K. Marina
https://arxiv.org/abs/2506.23740 http…

Campus5G: A Campus Scale Private 5G Open RAN Testbed
Mobile networks are embracing disaggregation, reflected by the industry trend towards Open RAN. Private 5G networks are viewed as particularly suitable contenders as early adopters of Open RAN, owing to their setting, high degree of control, and opportunity for innovation they present. Motivated by this, we have recently deployed Campus5G, the first of its kind campus-wide, O-RAN-compliant private 5G testbed across the central campus of the University of Edinburgh. We present in detail our proc…

When Networks Mislead: How Partisan Communication Undermines Democratic Decision-Making
Hsuan-Wei Lee, Po-Kang Hsiao
https://arxiv.org/abs/2506.21820 https…

When Networks Mislead: How Partisan Communication Undermines Democratic Decision-Making
Democratic societies increasingly rely on communication networks to aggregate citizen preferences and information, yet these same networks can systematically mislead voters under certain conditions. We introduce an agent-based model that captures two rival forces in partisan networks: honest noise filtering that lifts accuracy and strategic bluffing that embeds bias. Extensive simulations show that communication architecture shapes voting accuracy more than any individual-level trait. When cand…

Optimising cryptocurrency portfolios through stable clustering of price correlation networks
Ruixue Jing, Ryota Kobayashi, Luis Enrique Correa Rocha
https://arxiv.org/abs/2505.24831

Optimising cryptocurrency portfolios through stable clustering of price correlation networks
The emerging cryptocurrency market presents unique challenges for investment due to its unregulated nature and inherent volatility. However, collective price movements can be explored to maximise profits with minimal risk using investment portfolios. In this paper, we develop a technical framework that utilises historical data on daily closing prices and integrates network analysis, price forecasting, and portfolio theory to identify cryptocurrencies for building profitable portfolios under unc…

This https://arxiv.org/abs/2502.08602 has been replaced.
initial toot: https://mastoxiv.page/@arXi…

Stretching Response of a Polymer Chain with Deformable Bonds
The stretching response of polymer chains fundamentally determines the mechanical properties of polymer networks. In this Letter, we develop a statistical mechanics model that incorporates both bond stretching and bond angle deformation, enabling accurate predictions of chain behavior up to large forces. We further propose a semianalytical deformable freely rotating chain (dFRC) model, which represents the chain as a freely rotating chain with effective bond stretch and bond angle that depend o…

BLUE: Bi-layer Heterogeneous Graph Fusion Network for Avian Influenza Forecasting
Jing Du, Haley Stone, Yang Yang, Ashna Desai, Hao Xue, Andreas Z\"ufle, Chandini Raina MacIntyre, Flora D. Salim
https://arxiv.org/abs/2505.22692

BLUE: Bi-layer Heterogeneous Graph Fusion Network for Avian Influenza Forecasting
Accurate forecasting of avian influenza outbreaks within wild bird populations requires models that account for complex, multi-scale transmission patterns driven by various factors. Spatio-temporal GNN-based models have recently gained traction for infection forecasting due to their ability to capture relations and flow between spatial regions, but most existing frameworks rely solely on spatial connections and their connections. This overlooks valuable genetic information at the case level, su…

"Fußgänger und Radfahrer können den Bereich an der Prager Zeile über der Tiefgarage weiterhin nutzen, doch Fahrzeuge dürfen den Abschnitt nicht befahren."
Ja was denn nun?
https://archive.is/5xeHX