Tootfinder

Kanada will der Ukraine Waffen liefern
Die Ukraine erhält in ihrem Abwehrkampf gegen die russische Armee weitere Unterstützung aus Kanada. Bei seinem Besuch in Kiew zum Unabhängigkeitstag der Ukraine sagte Kanadas Premierminister Mark Carney dem Land ein Waffenpaket im Umfang von einer Milliarde Kanadischer Dollar (rund 617 Millionen Euro) zu. Das bereits für September angekündigte Paket beinhaltet Drohnen, Munition und nicht…
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Ukraine-Liveblog: ++ Russland meldet Gefangenenaustausch ++
Das russische Verteidigungsministerium meldet den Austausch von je 146 Gefangenen mit der Ukraine. Norwegen will die Lieferung von "Patriot"-Flugabwehrsystemen von Deutschland an die Ukraine mit etwa 600 Millionen Euro mitfinanzieren.

Systole-Conditioned Generative Cardiac Motion
Shahar Zuler, Gal Lifshitz, Hadar Averbuch-Elor, Dan Raviv
https://arxiv.org/abs/2507.15894 https://

Systole-Conditioned Generative Cardiac Motion
Accurate motion estimation in cardiac computed tomography (CT) imaging is critical for assessing cardiac function and surgical planning. Data-driven methods have become the standard approach for dense motion estimation, but they rely on vast amounts of labeled data with dense ground-truth (GT) motion annotations, which are often unfeasible to obtain. To address this limitation, we present a novel approach that synthesizes realistically looking pairs of cardiac CT frames enriched with dense 3D f…

Parametric Amplification of Spin-Motion Coupling in Three-Dimensional Trapped-Ion Crystals
Samarth Hawaldar, N. Nikhil, Ana Maria Rey, John J. Bollinger, Athreya Shankar
https://arxiv.org/abs/2507.16741

Parametric Amplification of Spin-Motion Coupling in Three-Dimensional Trapped-Ion Crystals
Three-dimensional (3D) crystals offer a route to scale up trapped ion systems for quantum sensing and quantum simulation applications. However, engineering coherent spin-motion couplings and effective spin-spin interactions in large crystals poses technical challenges associated with decoherence and prolonged timescales to generate appreciable entanglement. Here, we explore the possibility to speed up these interactions in 3D crystals via parametric amplification. We derive a general Hamiltonia…

Mitten in der Saison - Mondsee: Eigentümerin wirft alle Pächter hinaus #News #Nachrichten

Series C, Episode 05 - The Harvest of Kairos
JARVIK: I shall expect both courage and enterprise.
SHAD: You will have both, sir.
SERVALAN: Such old-fashioned concepts, Jarvik. Are they really necessary?
JARVIK: With machines, no. With men, yes.
https://blake.torpidity.net/m/305/258

Simultaneous multiplicative rational approximation to a real and a $p$-adic numbers
Yann Bugeaud, Bernard de Mathan
https://arxiv.org/abs/2507.16503 https:…

Simultaneous multiplicative rational approximation to a real and a $p$-adic numbers
We give new examples of pairs composed of a real and a $p$-adic numbers that satisfy a conjecture on simultaneous multiplicative approximation by rational numbers formulated by Einsiedler and Kleinbock in 2007.

Existence of Coupled Optical Vortex Solitons Propagating in a Quadratic Nonlinear Medium
Luciano Medina
https://arxiv.org/abs/2506.16452 https://

Existence of Coupled Optical Vortex Solitons Propagating in a Quadratic Nonlinear Medium
We consider the coupled propagation of an optical field and its second harmonic in a quadratic nonlinear medium governed by a coupled system of Schrodinger equations. We prove the existence of ring-profiled optical vortex solitons appearing as solutions to a constrained minimization problem and as solutions to a min-max problem. In the case of the constrained minimization problem solutions are shown to be positive with undetermined wave propagation constants, but in the min-max approach the wav…

Data-Driven Adaptive Gradient Recovery for Unstructured Finite Volume Computations
G. de Rom\'emont, F. Renac, F. Chinesta, J. Nunez, D. Gueyffier
https://arxiv.org/abs/2507.16571

Data-Driven Adaptive Gradient Recovery for Unstructured Finite Volume Computations
We present a novel data-driven approach for enhancing gradient reconstruction in unstructured finite volume methods for hyperbolic conservation laws, specifically for the 2D Euler equations. Our approach extends previous structured-grid methodologies to unstructured meshes through a modified DeepONet architecture that incorporates local geometry in the neural network. The architecture employs local mesh topology to ensure rotation invariance, while also ensuring first-order constraint on the le…

Uncertainty-aware Probabilistic 3D Human Motion Forecasting via Invertible Networks
Yue Ma, Kanglei Zhou, Fuyang Yu, Frederick W. B. Li, Xiaohui Liang
https://arxiv.org/abs/2507.14694

Uncertainty-aware Probabilistic 3D Human Motion Forecasting via Invertible Networks
3D human motion forecasting aims to enable autonomous applications. Estimating uncertainty for each prediction (i.e., confidence based on probability density or quantile) is essential for safety-critical contexts like human-robot collaboration to minimize risks. However, existing diverse motion forecasting approaches struggle with uncertainty quantification due to implicit probabilistic representations hindering uncertainty modeling. We propose ProbHMI, which introduces invertible networks to p…

The GHOSDT Simulations: II. Missing Molecules in Simulations of a Self-Regulated Interstellar Medium
Alon Gurman, Chia-Yu Hu, Michael Y. Grudic, Ulrich P. Steinwandel, Amiel Sternberg
https://arxiv.org/abs/2507.16700

The GHOSDT Simulations: II. Missing Molecules in Simulations of a Self-Regulated Interstellar Medium
Observations in the Galaxy and nearby spirals have established that the HI-to-H$_2$ transition at solar metallicity occurs at gas weight of $P_{\rm DE}/k_B\approx 10^4 \ \rm K \ cm ^{-3}$, similar to solar neighbourhood conditions. Even so, state-of-the-art models of a self-regulated interstellar medium underproduce the molecular fraction ($R_{\rm mol}\equiv M_{\rm H_2}/M_{\rm HI}$) at solar neighbourhood conditions by a factor of $\approx2-4$. We use the GHOSDT suite of simulations at a mass r…