Tootfinder

Old recording, Prince just jamming away on his piano , "Mary don't you weep", https://open.spotify.com/track/3MyoPEPdJbaIKRyuk8zTj2?si=ySxjztMoS3OJT1E8D-v4cQ

Mary Don't You Weep - Piano & A Microphone 1983 Version
Prince · Piano & A Microphone 1983 · Song · 2018

Das Husumer #Stadtbild bekommt Besuch
https://www.kn-online.de/schleswig-holstein/friedrich-merz-in-sh-ka…

Der Kanzler kommt: Friedrich Merz am Montag zu Gast in SH
Bundeskanzler Friedrich Merz (CDU) besucht am Montag, 3. November, Schleswig-Holstein. Auf dem Programm steht unter anderem eine Kabinettssitzung in Husum. Die Details zum Kanzler-Besuch im hohen Norden.

DarTwin made precise by SysMLv2 -- An Experiment
{\O}ystein Haugen, Stefan Klikovits, Martin Arthur Andersen, Jonathan Beaulieu, Francis Bordeleau, Joachim Denil, Joost Mertens
https://arxiv.org/abs/2510.12478

DarTwin made precise by SysMLv2 -- An Experiment
The new SysMLv2 adds mechanisms for the built-in specification of domain-specific concepts and language extensions. This feature promises to facilitate the creation of Domain-Specific Languages (DSLs) and interfacing with existing system descriptions and technical designs. In this paper, we review these features and evaluate SysMLv2's capabilities using concrete use cases. We develop DarTwin DSL, a DSL that formalizes the existing DarTwin notation for Digital Twin (DT) evolution, through SysMLv…

Semi-infinite Nonconvex Constrained Min-Max Optimization
Cody Melcher, Zeinab Alizadeh, Lindsey Hiett, Afrooz Jalilzadeh, Erfan Yazdandoost Hamedani
https://arxiv.org/abs/2510.12007

Semi-infinite Nonconvex Constrained Min-Max Optimization
Semi-Infinite Programming (SIP) has emerged as a powerful framework for modeling problems with infinite constraints, however, its theoretical development in the context of nonconvex and large-scale optimization remains limited. In this paper, we investigate a class of nonconvex min-max optimization problems with nonconvex infinite constraints, motivated by applications such as adversarial robustness and safety-constrained learning. We propose a novel inexact dynamic barrier primal-dual algorith…

On Suboptimal Safety-Critical Tracking Controller Design
Yazdan Batmani, Saber Omidi
https://arxiv.org/abs/2509.21726 https://arxiv.org/pdf/2509.21726

On Suboptimal Safety-Critical Tracking Controller Design
This paper proposes a novel framework for safety-critical optimal trajectory tracking in nonlinear systems based on the state-dependent Riccati equation (SDRE) methodology. By embedding barrier states into the system dynamics, the proposed strategy simultaneously ensures safety and tracking requirements, even in scenarios where these objectives may be inherently conflicting. A discounted pseudo-quadratic cost function is formulated to achieve a suboptimal trade-off between tracking accuracy, co…

GHOST: Hallucination-Inducing Image Generation for Multimodal LLMs
Aryan Yazdan Parast, Parsa Hosseini, Hesam Asadollahzadeh, Arshia Soltani Moakhar, Basim Azam, Soheil Feizi, Naveed Akhtar
https://arxiv.org/abs/2509.25178

GHOST: Hallucination-Inducing Image Generation for Multimodal LLMs
Object hallucination in Multimodal Large Language Models (MLLMs) is a persistent failure mode that causes the model to perceive objects absent in the image. This weakness of MLLMs is currently studied using static benchmarks with fixed visual scenarios, which preempts the possibility of uncovering model-specific or unanticipated hallucination vulnerabilities. We introduce GHOST (Generating Hallucinations via Optimizing Stealth Tokens), a method designed to stress-test MLLMs by actively generati…

Linear Convergence of a Unified Primal--Dual Algorithm for Convex--Concave Saddle Point Problems with Quadratic Growth
Cody Melcher, Afrooz Jalilzadeh, Erfan Yazdandoost Hamedani
https://arxiv.org/abs/2510.11990

Linear Convergence of a Unified Primal--Dual Algorithm for Convex--Concave Saddle Point Problems with Quadratic Growth
In this paper, we study saddle point (SP) problems, focusing on convex-concave optimization involving functions that satisfy either two-sided quadratic functional growth (QFG) or two-sided quadratic gradient growth (QGG)--novel conditions tailored specifically for SP problems as extensions of quadratic growth conditions in minimization. These conditions relax the traditional requirement of strong convexity-strong concavity, thereby encompassing a broader class of problems. We propose a generali…

Mass Varying Neutrino Oscillation in Scalar-Gauss-Bonnet Gravity
H. Mohseni Sadjad, H. Yazdani Ahmadabadi
https://arxiv.org/abs/2510.00704 https://arxiv.or…

Mass Varying Neutrino Oscillation in Scalar-Gauss-Bonnet Gravity
We investigate how matter density affects neutrino oscillations by considering a mass-varying neutrino scenario where the neutrino mass depends on a scalar field. This scalar field is non-minimally coupled to the Gauss-Bonnet (GB) invariant, causing its profile to be implicitly influenced by the surrounding matter distribution. Using data from solar neutrino experiments, we derive constraints on the model parameters, providing new insights into the properties of mass-varying neutrino within the…

Artificial intelligence for simplified patient-centered dosimetry in radiopharmaceutical therapies
Alejandro Lopez-Montes, Fereshteh Yousefirizi, Yizhou Chen, Yazdan Salimi, Robert Seifert, Ali Afshar-Oromieh, Carlos Uribe, Axel Rominger, Habib Zaidi, Arman Rahmim, Kuangyu Shi
https://arxiv.org/abs/2510.12714…

Artificial intelligence for simplified patient-centered dosimetry in radiopharmaceutical therapies
KEY WORDS: Artificial Intelligence (AI), Theranostics, Dosimetry, Radiopharmaceutical Therapy (RPT), Patient-friendly dosimetry KEY POINTS - The rapid evolution of radiopharmaceutical therapy (RPT) highlights the growing need for personalized and patient-centered dosimetry. - Artificial Intelligence (AI) offers solutions to the key limitations in current dosimetry calculations. - The main advances on AI for simplified dosimetry toward patient-friendly RPT are reviewed. - Future directions on th…

Rapid and Cost-Effective In situ Fabrication of Nanoporous Membranes in Microfluidic Devices for Biomedical and Environmental Applications
Arijit Mohanta, Zakia Farhat, Yeshudan Bora, Saurabh Dubey, Nafisa Arfa, Dipankar Bandyopadhyay
https://arxiv.org/abs/2509.23916

Rapid and Cost-Effective In situ Fabrication of Nanoporous Membranes in Microfluidic Devices for Biomedical and Environmental Applications
Micro/nanoporous membranes have been used extensively in biological and medical applications associated with filtration, particle sorting, cell separation, and real-time sensing. Expanding its applications to microfluidics offers several advantages, such as precise control over fluid flow rates, regulated reaction times, and efficient product extraction. This study demonstrates a simple, cost-effective, rapid, single-step method for the synthesis of nanoporous membranes within a microfluidic de…