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https://www.justice.gov/usao-ndca/pr/romanian-national-pleads-guilty-bank-fraud-involving-over-500000-ebt-funds-illegal
Marian obtained EBT cards numbers by using skimmer devices on ATM and point of sale mac…

Romanian National Pleads Guilty To Bank Fraud Involving Over $500,000 In EBT Funds, Illegal Reentry, And Asylum Fraud
OAKLAND – Marius Marian pleaded guilty in federal court today to fraudulently obtaining over $500,000 in Electronic Benefits Transfer (EBT) funds, illegally reentering the United States following an aggravated felony conviction, and making false statements on his asylum application

A Computation of Tamarkin-Tsygan Calculus
Jun Chen, Xiabing Ruan, Jia Yang
https://arxiv.org/abs/2509.12984 https://arxiv.org/pdf/2509.12984

A Computation of Tamarkin-Tsygan Calculus
We compute the full Tamarkin-Tsygan calculus of a Koszul algebra whose global dimension exceeds the number of generators. Our results show that even for algebras possessing an economic presentation and agreeable homological properties, the Hochschild (co)homology, as well as the structure of the Tamarkin--Tsygan calculus may exhibit a rather intricate behavior.

Integrating Pruning with Quantization for Efficient Deep Neural Networks Compression
Sara Makenali, Babak Rokh, Ali Azarpeyvand
https://arxiv.org/abs/2509.04244 https://

Integrating Pruning with Quantization for Efficient Deep Neural Networks Compression
Deep Neural Networks (DNNs) have achieved significant advances in a wide range of applications. However, their deployment on resource-constrained devices remains a challenge due to the large number of layers and parameters, which result in considerable computational and memory demands. To address this issue, pruning and quantization are two widely used compression techniques, commonly applied individually in most studies to reduce model size and enhance processing speed. Nevertheless, combining…

A new class of regularized preconditioners for double saddle-point problems
Achraf Badahmane
https://arxiv.org/abs/2508.19469 https://arxiv.org/pdf/2508.19…

A new class of regularized preconditioners for double saddle-point problems
The block structure of double saddle-point problems has prompted extensive research into efficient preconditioners. This paper introduces a novel class of three-by-three block preconditioners tailored for such systems from the time-dependent Maxwell equations or liquid crystal director modeling. The main motivation of this work is to highlight the limitations of recent preconditioners under high Reynolds numbers, as the original studies did not explore this scenario, and to demonstrate that our…

Wake dynamics of a square cylinder while moving upward in quiescent water
Intesaaf Ashraf, Stephane Dorbolo, Neetu Tiwari
https://arxiv.org/abs/2509.18305 https://