Tootfinder

@other98 on Instagram: Trump’s Veterans Day meeting with Ahmed al-Sharaa in the Oval Office has sparked fury, especially among vets and their families. Al-Sharaa is widely recognized as a former senior figure in al-Qaeda with a history stained by real atrocities. Under his leadership, al-Nusra Front and Jabhat Fateh al-Sham carried out suicide bombings, sectarian massacres, and ethnic cleansing campaigns targeting Syria’s Christian, Alawite, Shia, and Druze minorities.
https://www.instagram.com/p/DQ7xiuCj9uT/

Replaced article(s) found for cond-mat.mtrl-sci. https://arxiv.org/list/cond-mat.mtrl-sci/new
[1/1]:
- Machine Learning-Driven Insights into Excitonic Effects in 2D Materials
Ahsan Javed, Sajid Ali

ZeroFalse: Improving Precision in Static Analysis with LLMs
Mohsen Iranmanesh (Simon Fraser University), Sina Moradi Sabet (Amirkabir University of Technology), Sina Marefat (K. N. Toosi University of Technology), Ali Javidi Ghasr (Ferdowsi University of Mashhad), Allison Wilson (Cyber Risk Solutions), Iman Sharafaldin (Forward Security), Mohammad A. Tayebi (Simon Fraser University)

ZeroFalse: Improving Precision in Static Analysis with LLMs
Static Application Security Testing (SAST) tools are integral to modern software development, yet their adoption is undermined by excessive false positives that weaken developer trust and demand costly manual triage. We present ZeroFalse, a framework that integrates static analysis with large language models (LLMs) to reduce false positives while preserving coverage. ZeroFalse treats static analyzer outputs as structured contracts, enriching them with flow-sensitive traces, contextual evidence,…

Safety Critical Model Predictive Control Using Discrete-Time Control Density Functions
Sriram S. K. S. Narayanan, Sajad Ahmadi, Javad Mohammadpour Velni, Umesh Vaidya
https://arxiv.org/abs/2509.13257

Safety Critical Model Predictive Control Using Discrete-Time Control Density Functions
This paper presents MPC-CDF, a new approach integrating control density functions (CDFs) within a model predictive control (MPC) framework to ensure safety-critical control in nonlinear dynamical systems. By using the dual formulation of the navigation problem, we incorporate CDFs into the MPC framework, ensuring both convergence and safety in a discrete-time setting. These density functions are endowed with a physical interpretation, where the associated measure signifies the occupancy of syst…