Tootfinder

Eigenlijk hadden huisgenoot H en ik samen een reis op Polarsteps moeten invoeren voor ons beider tocht door ziekenhuizein en langs dokters vanaf 31 januari toen H naar de spoedeisende hulp ging voor een mogelijke blindedarmontsteking die dat niet was. Vandaag reizen we naar KNO

Hausbesitzer in #NRW können jetzt für eine #Dachbegrünung bis zu 10.000 Euro Förderung erhalten.
Das Programm „10.000 Grüne Dächer“ unterstützt Begrünungen auf Wohn- und Gewerbedächern, um das #Stadtklima

Mach dein Dach grün: Jetzt 10.000 Euro Förderung abstauben!
🌿🏠 10.000 Euro warten auf innovative Hausbesitzer. (nw)

Tata heeft miljarden van de belastingbetaler gekregen terwijl de topbestuurders van het noodlijdende bedrijf dat verder zo ongeveer overal op moet bezuinigen zichzelf in 5 jaar tijd meer dan een salarisverdubeling hebben bezorgd.
Ja, je leest het goed. Gemiddeld van een slordige half miljoen naar ruim een miljoen per jaar.
Ik zeg: terughalen van zoveel mogelijk van onze miljarden uit deze bodemloze put en liquideren.

Salaris van Tata-directie verdubbeld, terwijl medewerkers geen kerstpakket meer krijgen
Het jaarsalaris van een directielid van Tata Steel bedraagt gemiddeld een miljoen euro. Dat is ruim het dubbele van vier jaar geleden. Ondertussen stagneerden de salarissen van werknemers en is vanwege de miljoenenverliezen op vrijwel alles bezuinigd, van koffie tot schoonmaak.

Markoff triples and Nielsen equivalence in $\text{SL}_2(\mathbb{F}_p)$
Daniel E. Martin
https://arxiv.org/abs/2510.07577 https://arxiv.org/pdf/2510.07577…

Markoff triples and Nielsen equivalence in $\text{SL}_2(\mathbb{F}_p)$
In 2013, Darryl McCullough and Marcus Wanderley made a series of conjectures that describe the Nielsen equivalence classes and $T_2$-equivalence classes of pairs of generators for $\text{SL}_2(\mathbb{F}_q)$ and the Markoff equivalence classes of triples in $\mathbb{F}_q^3$ that solve $x^2+y^2+z^2=xyz+κ$ for some $κ\in\mathbb{F}_q$. (The case $κ=0$ was originally conjectured by Baragar in 1991.) We prove that one of the McCullough--Wanderley conjectures, the ``$Q$-classification conjecture" …

Energy loss baseline for light hadrons in oxygen-oxygen collisions at $\sqrt{s_\mathrm{NN}}=5.36\,\text{TeV}$
Aleksas Mazeliauskas
https://arxiv.org/abs/2509.07008 https://

Energy loss baseline for light hadrons in oxygen-oxygen collisions at $\sqrt{s_\mathrm{NN}}=5.36\,\text{TeV}$
I present predictions for inclusive charged hadron spectra in minimum-bias proton-proton and oxygen-oxygen collisions at a centre-of-mass energy of $\sqrt{s_\mathrm{NN}} = 5.36\,\text{TeV}$, assuming no final-state interactions. Using next-to-leading order perturbative QCD matrix elements, along with state-of-the-art (nuclear) parton distribution and fragmentation functions, I establish a baseline for the nuclear modification factor $R^h_\text{AA}$ in oxygen-oxygen collisions in the absence of …

Accelerating AI Development with Cyber Arenas
William Cashman, Chasen Milner, Michael Houle, Michael Jones, Hayden Jananthan, Jeremy Kepner, Peter Michaleas, Alex Pentland
https://arxiv.org/abs/2509.08200

Accelerating AI Development with Cyber Arenas
AI development requires high fidelity testing environments to effectively transition from the laboratory to operations. The flexibility offered by cyber arenas presents a novel opportunity to test new artificial intelligence (AI) capabilities with users. Cyber arenas are designed to expose end-users to real-world situations and must rapidly incorporate evolving capabilities to meet their core objectives. To explore this concept the MIT/IEEE/Amazon Graph Challenge Anonymized Network Sensor was d…

Zero-shot 3D-Aware Trajectory-Guided image-to-video generation via Test-Time Training
Ruicheng Zhang, Jun Zhou, Zunnan Xu, Zihao Liu, Jiehui Huang, Mingyang Zhang, Yu Sun, Xiu Li
https://arxiv.org/abs/2509.06723

Zero-shot 3D-Aware Trajectory-Guided image-to-video generation via Test-Time Training
Trajectory-Guided image-to-video (I2V) generation aims to synthesize videos that adhere to user-specified motion instructions. Existing methods typically rely on computationally expensive fine-tuning on scarce annotated datasets. Although some zero-shot methods attempt to trajectory control in the latent space, they may yield unrealistic motion by neglecting 3D perspective and creating a misalignment between the manipulated latents and the network's noise predictions. To address these challenge…

Rule-Based Moral Principles for Explaining Uncertainty in Natural Language Generation
Zahra Atf, Peter R Lewis
https://arxiv.org/abs/2509.07190 https://arx…

Rule-Based Moral Principles for Explaining Uncertainty in Natural Language Generation
Large language models (LLMs) are increasingly used in high-stakes settings, where explaining uncertainty is both technical and ethical. Probabilistic methods are often opaque and misaligned with expectations of transparency. We propose a framework based on rule-based moral principles for handling uncertainty in LLM-generated text. Using insights from moral psychology and virtue ethics, we define rules such as precaution, deference, and responsibility to guide responses under epistemic or aleato…

Large Language Model-Based Uncertainty-Adjusted Label Extraction for Artificial Intelligence Model Development in Upper Extremity Radiography
Hanna Kreutzer, Anne-Sophie Caselitz, Thomas Dratsch, Daniel Pinto dos Santos, Christiane Kuhl, Daniel Truhn, Sven Nebelung
https://arxiv.org/abs/2510.05664 …

Large Language Model-Based Uncertainty-Adjusted Label Extraction for Artificial Intelligence Model Development in Upper Extremity Radiography
Objectives: To evaluate GPT-4o's ability to extract diagnostic labels (with uncertainty) from free-text radiology reports and to test how these labels affect multi-label image classification of musculoskeletal radiographs. Methods: This retrospective study included radiography series of the clavicle (n=1,170), elbow (n=3,755), and thumb (n=1,978). After anonymization, GPT-4o filled out structured templates by indicating imaging findings as present ("true"), absent ("false"), or "uncertain." To …

MetaLogic: Robustness Evaluation of Text-to-Image Models via Logically Equivalent Prompts
Yifan Shen, Yangyang Shu, Hye-young Paik, Yulei Sui
https://arxiv.org/abs/2510.00796 ht…

MetaLogic: Robustness Evaluation of Text-to-Image Models via Logically Equivalent Prompts
Recent advances in text-to-image (T2I) models, especially diffusion-based architectures, have significantly improved the visual quality of generated images. However, these models continue to struggle with a critical limitation: maintaining semantic consistency when input prompts undergo minor linguistic variations. Despite being logically equivalent, such prompt pairs often yield misaligned or semantically inconsistent images, exposing a lack of robustness in reasoning and generalisation. To ad…