Tootfinder

When Brooke Nichols plugged in the data, she couldn’t comprehend what she was seeing.
The mathematician and professor of infectious diseases at Boston University had created a model to predict the human cost of the Department of Government Efficiency’s (Doge) USAid funding cuts.
As Elon Musk, the head of Doge, arrived at the White House on Friday afternoon
to be congratulated by President Trump for his work slashing the federal budget,
the number of deaths on Nichols’…

Doge cuts to USAid blamed for 300,000 deaths — most of them children
Elon Musk’s tenure running Trump’s Department of Government Efficiency has, according to the academic Brooke Nichols, caused thousands of ‘preventable deaths’

The dominant role of jetting in micron- and sub-micron sea spray produced by bubble bursting: a revised model and comparison with measurements
Alfonso M. Ganan-Calvo, Miguel A. Herrada, Jose M. Lopez-Herrera
https://arxiv.org/abs/2506.17836

The dominant role of jetting in micron- and sub-micron sea spray produced by bubble bursting: a revised model and comparison with measurements
The primary physical mechanism governing the production of sub-micron sea spray aerosols (SSA) -- specifically the competition between film and jet droplets from bubble bursting -- has remained a subject of intense debate. This work presents a revised, first-principles model that establishes the overwhelming dominance of jetting for producing micron and sub-micron aerosols. Our approach first rules out the film droplet mechanism as a primary contributor for this size range by demonstrating thro…

Investigating New Physics through the Observables of Semileptonic $B_{s}\to K^{\ast}(\to K \pi)\mu^{ }\mu^{-}$ Decay
Zohaib Aarfi, Qazi Maaz Us Salam, Ishtiaq Ahmed, Faisal Munir Bhutta, Rizwan Khalid, M. Ali Paracha
https://arxiv.org/abs/2506.20446

Investigating New Physics through the Observables of Semileptonic $B_{s}\to K^{\ast}(\to K π)μ^{+}μ^{-}$ Decay
The rare four-fold decay $B_s \to K^*(\to Kπ)μ^+μ^- $, governed by the flavor-changing neutral current transition $b \to dμ^+μ^-$, provides a sensitive probe for testing the Standard Model (SM) and investigating signatures of new physics (NP). This work presents a comprehensive model-independent analysis of the decay using the framework of the weak effective field theory. We compute a set of key physical observables, including the differential branching ratio, forward-backward asymmetry, l…

Sen. Alex Padilla says he was at the Wilshire Federal Building waiting to start a briefing with top military officials when he heard that Kristi L. Noem,
the homeland security secretary,
was holding a news conference on the federal presence there.
He asked the people escorting him if he could attend it.
Noem was in the middle of criticizing local leaders as “socialists” and “burdensome” for not coordinating more closely with the federal government
when Padilla…

What did Sen. Alex Padilla get handcuffed for?
The California Democrat was muscled to the ground after interrupting a Homeland Security news conference. He wondered if it was worth it.

Asymptotic analysis and design of linear elastic shell lattice metamaterials
Di Zhang, Ligang Liu
https://arxiv.org/abs/2506.18910 https://

Asymptotic analysis and design of linear elastic shell lattice metamaterials
We present an asymptotic analysis of shell lattice metamaterials based on Ciarlet's shell theory, introducing a new metric--asymptotic directional stiffness (ADS)--to quantify how the geometry of the middle surface governs the effective stiffness. We prove a convergence theorem that rigorously characterizes ADS and establishes its upper bound, along with necessary and sufficient condition for achieving it. As a key result, our theory provides the first rigorous explanation for the high bulk mod…

Robust PDE discovery under sparse and highly noisy conditions via attention neural networks
Shilin Zhang, Yunqing Huang, Nianyu Yi, shihan Zhang
https://arxiv.org/abs/2506.17908

Robust PDE discovery under sparse and highly noisy conditions via attention neural networks
The discovery of partial differential equations (PDEs) from experimental data holds great promise for uncovering predictive models of complex physical systems. In this study, we introduce an efficient automatic model discovery framework, ANN-PYSR, which integrates attention neural networks with the state-of-the-art PySR symbolic regression library. Our approach successfully identifies the governing PDE in six benchmark examples. Compared to the DLGA framework, numerical experiments demonstrate …

USB: A Comprehensive and Unified Safety Evaluation Benchmark for Multimodal Large Language Models
Baolin Zheng, Guanlin Chen, Hongqiong Zhong, Qingyang Teng, Yingshui Tan, Zhendong Liu, Weixun Wang, Jiaheng Liu, Jian Yang, Huiyun Jing, Jincheng Wei, Wenbo Su, Xiaoyong Zhu, Bo Zheng, Kaifu Zhang
https://arxiv.org/abs/2505.23793…

USB: A Comprehensive and Unified Safety Evaluation Benchmark for Multimodal Large Language Models
Despite their remarkable achievements and widespread adoption, Multimodal Large Language Models (MLLMs) have revealed significant security vulnerabilities, highlighting the urgent need for robust safety evaluation benchmarks. Existing MLLM safety benchmarks, however, fall short in terms of data quality and coverge, and modal risk combinations, resulting in inflated and contradictory evaluation results, which hinders the discovery and governance of security concerns. Besides, we argue that vulne…

Superlinear Drift in Consensus-Based Optimization with Condensation Phenomena
Jonathan Franceschi, Lorenzo Pareschi, Mattia Zanella
https://arxiv.org/abs/2506.09001

Superlinear Drift in Consensus-Based Optimization with Condensation Phenomena
Consensus-based optimization (CBO) is a class of metaheuristic algorithms designed for global optimization problems. In the many-particle limit, classical CBO dynamics can be rigorously connected to mean-field equations that ensure convergence toward global minimizers under suitable conditions. In this work, we draw inspiration from recent extensions of the Kaniadakis--Quarati model for indistinguishable bosons to develop a novel CBO method governed by a system of SDEs with superlinear drift an…

This https://arxiv.org/abs/2502.09716 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csCY_…

Principles and Policy Recommendations for Comprehensive Genetic Data Governance
Genetic data collection has become ubiquitous, producing genetic information about health, ancestry, and social traits. However, unregulated use, especially amid evolving scientific understanding, poses serious privacy and discrimination risks. These risks are intensified by advancing AI, particularly multi-modal systems integrating genetic, clinical, behavioral, and environmental data. In this work, we organize the uses of genetic data along four distinct "pillars", and develop a risk assessme…