Tootfinder

Jamming in Ostsee: Erfolgreicher Test einer Laser-Verbindung zwischen Schiffen
Ein litauisches Startup hat zusammen mit der Marine das Freiraum-Laserterminal Polaris erfolgreich auf See ausprobiert. Es soll gegen Funkstörungen immun sein.

#Fensterfreitag

One of the best things about Universal Studios Hollywood... 🤣
▶️ Ranking The Funniest MEGATRON Roasts #shorts
https://youtube.com/shorts/cAtpU3CeqiQ?si=d4l6-PRa-WM4nbAH…

On the Effective Non-vanishing of Rankin--Selberg $L$-functions at Special Points
Zhi Qi
https://arxiv.org/abs/2506.08546 https://arx…

On the Effective Non-vanishing of Rankin--Selberg $L$-functions at Special Points
Let $Q (z)$ be a holomorphic Hecke cusp newform of square-free level and $u_j (z)$ traverse an orthonormal basis of Hecke--Maass cusp forms of full level. Let $1/4 + t_j^2$ be the Laplace eigenvalue $u_j (z)$. In this paper, we prove that there is a constant $ γ(Q) $ expressed as a certain Euler product associated to $Q$ such that at least $ γ(Q) / 11 $ of the Rankin--Selberg special $L$-values $L (1/2+it_j, Q \otimes u_j)$ for $ t_j \leqslant T$ do not vanish as $T \rightarrow \infty$. Furth…

GEARS H: Accurate machine-learned Hamiltonians for next-generation device-scale modeling
Anubhab Haldar, Ali K. Hamze, Nikhil Sivadas, Yongwoo Shin
https://arxiv.org/abs/2506.10298

GEARS H: Accurate machine-learned Hamiltonians for next-generation device-scale modeling
We introduce GEARS H, a state-of-the-art machine-learning Hamiltonian framework for large-scale electronic structure simulations. Using GEARS H, we present a statistical analysis of the hole concentration induced in defective $\mathrm{WSe}_2$ interfaced with Ni-doped amorphous $\mathrm{HfO}_2$ as a function of the Ni doping rate, system density, and Se vacancy rate in 72 systems ranging from 3326 to 4160 atoms-a quantity and scale of interface electronic structure calculation beyond the reach o…

Neulich sagte einer, wie doof er Threema fände: Denn obwohl es Geld koste, kämen manche Nachrichten erst 2 Tage später an. Da lobe er sich WhatsApp: gratis und funktioniert immer.
Ich hätte ganz viel dazu sagen können, habe aber entschieden, es nicht zu tun.
(Und ja, auch bei mir funktioniert Thr. nicht immer gut. Deshalb nutze ich lieber Signal. Und auch da weiß ich, dass ich immer mal reinschauen muss, weil manche Nachrichten hängenbleiben. Aber das ist dann halt so)

Enhancing Ultrasound Molecular Imaging: Toward Real-Time RPCA-Based Filtering to Differentiate Bound and Free Microbubbles
Hoda S. Hashemi, Dongwoon Hyun, Nathan Nguyen, Jihye Baek, Arutselvan Natarajan, Farbod Tabesh, Andrew Andrzejek, Ramasamy Paulmurugan, Jeremy J. Dahl
https://arxiv.org/abs/2506.10257

Enhancing Ultrasound Molecular Imaging: Toward Real-Time RPCA-Based Filtering to Differentiate Bound and Free Microbubbles
Ultrasound molecular imaging (UMI) is an advanced imaging modality that shows promise in detecting cancer at early stages. It uses microbubbles as contrast agents, which are functionalized to bind to cancer biomarkers overexpressed on endothelial cells. A major challenge in UMI is isolating bound microbubble signal, which represents the molecular imaging signal, from that of free-floating microbubbles, which is considered background noise. In this work, we propose a fast GPU-based method using …

AnnoDPO: Protein Functional Annotation Learning with Direct Preference Optimization
Zixuan Jiang, Renjing Xu
https://arxiv.org/abs/2506.07035 https://

AnnoDPO: Protein Functional Annotation Learning with Direct Preference Optimization
Deciphering protein function remains a fundamental challenge in protein representation learning. The task presents significant difficulties for protein language models (PLMs) due to the sheer volume of functional annotation categories and the highly imbalanced distribution of annotated instances across biological ontologies. Inspired by the remarkable success of reinforcement learning from human feedback (RLHF) in large language model (LLM) alignment, we propose AnnoDPO, a novel multi-modal fra…

Decision algorithms for fragments of real analysis. III: A theory of differentiable functions with (semi-)open intervals
G. Buriola, D. Cantone, G. Cincotti, E. G. Omodeo, G. T. Spart\`a
https://arxiv.org/abs/2507.02742

Decision algorithms for fragments of real analysis. III: A theory of differentiable functions with (semi-)open intervals
This paper enriches preexisting satisfiability tests for unquantified languages, which in turn augment a fragment of Tarski's elementary algebra with unary real functions possessing a continuous first derivative. Two sorts of individual variables are available, one ranging over real numbers and the other one ranging over the functions of interest. Numerical terms are built from real variables through constructs designating the four basic arithmetic operations and through the function-applicat…

Montag: Online-Störungen bei den Sparkassen, WhatsApp-Status wird multimedial
Online-Banking fehlerhaft WhatsApp-Status mit neuen Funktionen KI-Speicherbedarf besorgt Seagate Trickbot-Bandenchef identifiziert Rekord neuer E-Autos