Tootfinder

Exploring Gaze Dynamics in VR Film Education: Gender, Avatar, and the Shift Between Male and Female Perspectives
Zheng Wei, Jia Sun, Junxiang Liao, Lik-Hang Lee, Pan Hui, Huamin Qu, Wai Tong, Xian Xu
https://arxiv.org/abs/2509.12027

Exploring Gaze Dynamics in VR Film Education: Gender, Avatar, and the Shift Between Male and Female Perspectives
In virtual reality (VR) education, especially in creative fields like film production, avatar design and narrative style extend beyond appearance and aesthetics. This study explores how the interaction between avatar gender, the dominant narrative actor's gender, and the learner's gender influences film production learning in VR, focusing on gaze dynamics and gender perspectives. Using a 2*2*2 experimental design, 48 participants operated avatars of different genders and interacted with male or…

Geometric phase in dissipative quantum batteries
Camila Cristiano, Ludmila Viotti, Paula I. Villar
https://arxiv.org/abs/2509.11313 https://arxiv.org/pdf/2…

Geometric phase in dissipative quantum batteries
We study the geometric phase accumulated during non-adiabatic charging of different driven open quantum systems serving as quantum battery models. We provide a full numerical analysis of dy- namics under different type of noises typically reported in superconducting circuits implementations. We complement the study with analytic results derived in the limiting case of no noise (i.e. isolated systems). We compute the non-unitary geometric phase acquired by the quantum batteries during the transi…

Event2Vec: A Geometric Approach to Learning Composable Representations of Event Sequences
Antonin Sulc
https://arxiv.org/abs/2509.12188 https://arxiv.org/p…

Event2Vec: A Geometric Approach to Learning Composable Representations of Event Sequences
The study of neural representations, both in biological and artificial systems, is increasingly revealing the importance of geometric and topological structures. Inspired by this, we introduce Event2Vec, a novel framework for learning representations of discrete event sequences. Our model leverages a simple, additive recurrent structure to learn composable, interpretable embeddings. We provide a theoretical analysis demonstrating that, under specific training objectives, our model's learned rep…

Classical Algebraic Geometry and Discrete Integrable Systems
Gessica Alecci, Michele Graffeo, Alexander Stokes
https://arxiv.org/abs/2510.12647 https://arx…

Classical Algebraic Geometry and Discrete Integrable Systems
The aim of these notes is to present an accessible overview of some topics in classical algebraic geometry which have applications to aspects of discrete integrable systems. Precisely, we focus on surface theory on the algebraic geometry side, which is applied to differential and discrete Painlevé equations on the integrable systems side. Along the way we also discuss the theory of resolution of indeterminacies, which is applied to the cohomological computation of algebraic entropy of biration…

Windkraft-Intensitätsindex je Bundesland relativ zum geometrischen Mittel aus Fläche & Einwohnerzahl, Stand 13.11.2025.
Nur in Betrieb befindliche Anlagen berücksichtigt. „Ausschließliche Wirtschaftszone“ (Offshore) ausgenommen.
👉 Erläuterung für Nerds 😊:

MAGNET-KG: Maximum-Entropy Geometric Networks for Temporal Knowledge Graphs: Theoretical Foundations and Mathematical Framework
Ibne Farabi Shihab
https://arxiv.org/abs/2509.10587

MAGNET-KG: Maximum-Entropy Geometric Networks for Temporal Knowledge Graphs: Theoretical Foundations and Mathematical Framework
We present a unified theoretical framework for temporal knowledge graphs grounded in maximum-entropy principles, differential geometry, and information theory. We prove a unique characterization of scoring functions via the maximum-entropy principle and establish necessity theorems for specific geometric choices. We further provide rigorous derivations of generalization bounds with explicit constants and outline conditions under which consistency guarantees hold under temporal dependence. The f…

:nonbinary_flag: Gender: Non-binary
🏳️‍🌈 Pronouns: They/Them
:bisexual_pride: Sexuality: Bisexual
#NorskTut #LHBT #LGBT

Hypothesis testing for the dimension of random geometric graph
Mingao Yuan, Feng Yu
https://arxiv.org/abs/2510.11844 https://arxiv.org/pdf/2510.11844

Hypothesis testing for the dimension of random geometric graph
Random geometric graphs (RGGs) offer a powerful tool for analyzing the geometric and dependence structures in real-world networks. For example, it has been observed that RGGs are a good model for protein-protein interaction networks. In RGGs, nodes are randomly distributed over an $m$-dimensional metric space, and edges connect the nodes if and only if their distance is less than some threshold. When fitting RGGs to real-world networks, the first step is probably to input or estimate the dimens…

Geometric representation of CP phases $\delta_{\rm PDG}, \delta_{\rm KM}$ in flavor mixing matrix and its sum rule by alternative unitarity triangle and quadrangle
Masaki J. S. Yang
https://arxiv.org/abs/2509.11596

Geometric representation of CP phases $δ_{\rm PDG}, δ_{\rm KM}$ in flavor mixing matrix and its sum rule by alternative unitarity triangle and quadrangle
In this letter, we present a geometric representation of the CP phases $δ_{\rm PDG}$ and $δ_{\rm KM}$ in the PDG and Kobayashi--Maskawa parameterizations of the mixing matrix as angles on the complex plane. The sum rule with the unitarity triangle $δ_{\rm PDG} + δ_{\rm KM} = π- α+ γ$ is geometrically expressed as a quadrangle on the complex plane, combination of a unitarity triangle and an alternative triangle. Furthermore, a new set of inverse unitarity triangles is defined from the inv…

C'est toujours une histoire de budget
#gendarmerie

C'est toujours une histoire de budget