Tootfinder

Voice-based AI Agents: Filling the Economic Gaps in Digital Health Delivery
Bo Wen, Chen Wang, Qiwei Han, Raquel Norel, Julia Liu, Thaddeus Stappenbeck, Jeffrey L. Rogers
https://arxiv.org/abs/2507.16229

Voice-based AI Agents: Filling the Economic Gaps in Digital Health Delivery
The integration of voice-based AI agents in healthcare presents a transformative opportunity to bridge economic and accessibility gaps in digital health delivery. This paper explores the role of large language model (LLM)-powered voice assistants in enhancing preventive care and continuous patient monitoring, particularly in underserved populations. Drawing insights from the development and pilot study of Agent PULSE (Patient Understanding and Liaison Support Engine) -- a collaborative initiati…

CineScale: Free Lunch in High-Resolution Cinematic Visual Generation
Haonan Qiu, Ning Yu, Ziqi Huang, Paul Debevec, Ziwei Liu
https://arxiv.org/abs/2508.15774 https://

CineScale: Free Lunch in High-Resolution Cinematic Visual Generation
Visual diffusion models achieve remarkable progress, yet they are typically trained at limited resolutions due to the lack of high-resolution data and constrained computation resources, hampering their ability to generate high-fidelity images or videos at higher resolutions. Recent efforts have explored tuning-free strategies to exhibit the untapped potential higher-resolution visual generation of pre-trained models. However, these methods are still prone to producing low-quality visual content…

Talking Like a Phisher: LLM-Based Attacks on Voice Phishing Classifiers
Wenhao Li, Selvakumar Manickam, Yung-wey Chong, Shankar Karuppayah
https://arxiv.org/abs/2507.16291

Talking Like a Phisher: LLM-Based Attacks on Voice Phishing Classifiers
Voice phishing (vishing) remains a persistent threat in cybersecurity, exploiting human trust through persuasive speech. While machine learning (ML)-based classifiers have shown promise in detecting malicious call transcripts, they remain vulnerable to adversarial manipulations that preserve semantic content. In this study, we explore a novel attack vector where large language models (LLMs) are leveraged to generate adversarial vishing transcripts that evade detection while maintaining deceptiv…

Zurek's scaling-law in the Ising model out of thermal equilibrium
Jos\'e Armando P\'erez-Loera, Wolfgang Bietenholz
https://arxiv.org/abs/2507.16168

Zurek's scaling-law in the Ising model out of thermal equilibrium
The Kibble mechanism plays a prominent role in the theory of the early Universe, as an explanation of the possible formation of cosmic strings. Zurek suggested the analogous effect in liquid helium under rapid cooling, and he conjectured - together with del Campo and Kibble - a scaling-law for the relation between the density of remnant topological defects and the cooling rate, when a system passes through its critical temperature. Such scaling-laws were indeed observed in condensed matter expe…

SDGO: Self-Discrimination-Guided Optimization for Consistent Safety in Large Language Models
Peng Ding, Wen Sun, Dailin Li, Wei Zou, Jiaming Wang, Jiajun Chen, Shujian Huang
https://arxiv.org/abs/2508.15648

SDGO: Self-Discrimination-Guided Optimization for Consistent Safety in Large Language Models
Large Language Models (LLMs) excel at various natural language processing tasks but remain vulnerable to jailbreaking attacks that induce harmful content generation. In this paper, we reveal a critical safety inconsistency: LLMs can more effectively identify harmful requests as discriminators than defend against them as generators. This insight inspires us to explore aligning the model's inherent discrimination and generation capabilities. To this end, we propose SDGO (Self-Discrimination-Guide…

Omnidirectionally manipulated skyrmions in an orientationally chiral system
Jiahao Chen, Wentao Tang, Xingzhou Tang, Yang Ding, Jie Ni, Yuxi Chen, Bingxiang Li, Rui Zhang, Juan de Pablo, Yanqing Lu
https://arxiv.org/abs/2506.16781

Omnidirectionally manipulated skyrmions in an orientationally chiral system
Skyrmions, originally from condensed matter physics, have been widely explored in various physical systems, including soft matter. A crucial challenge in manipulating topological solitary waves like skyrmions is controlling their flow on demand. Here, we control the arbitrary moving direction of skyrmions in a chiral liquid crystal system by adjusting the bias of the applied alternate current electric field. Specifically, the velocity, including both moving direction and speed can be continuous…

Atomic-scale Frustrated Josephson Coupling and Multi-condensate Visualization in FeSe
Nileema Sharma, Matthew Toole, James McKenzie, Sheng Ran, Xiaolong Liu
https://arxiv.org/abs/2507.16758

Atomic-scale Frustrated Josephson Coupling and Multi-condensate Visualization in FeSe
In a Josephson junction involving multi-band superconductors, competition between inter-band and inter-junction Josephson coupling gives rise to frustration and spatial disjunction of superfluid densities among superconducting condensates. Such frustrated coupling manifests as quantum interference of Josephson currents from different tunneling channels and becomes tunable if channel transparency can be varied. To explore these unconventional effects in the prototypical $s^\pm$-wave superconduct…

Investigating State-of-the-Art Planning Strategies for Electric Vehicle Charging Infrastructures in Coupled Transport and Power Networks: A Comprehensive Review
Jinhao Li, Arlena Chew, Hao Wang
https://arxiv.org/abs/2507.17277

Investigating State-of-the-Art Planning Strategies for Electric Vehicle Charging Infrastructures in Coupled Transport and Power Networks: A Comprehensive Review
Electric vehicles (EVs) have emerged as a pivotal solution to reduce greenhouse gas emissions paving a pathway to net zero. As the adoption of EVs continues to grow, countries are proactively formulating systematic plans for nationwide electric vehicle charging infrastructure (EVCI) to keep pace with the accelerating shift towards EVs. This comprehensive review aims to thoroughly examine current global practices in EVCI planning and explore state-of-the-art methodologies for designing EVCI plan…

Catastrophic Formation of Macro-Scale Flow and Magnetic Fields in the Relativistic Gas of Binary Systems
E. Saralidze, N. L. Shatashvili, S. M. Mahajan, E. Dadiani
https://arxiv.org/abs/2506.16761

Catastrophic Formation of Macro-Scale Flow and Magnetic Fields in the Relativistic Gas of Binary Systems
It is shown that a simple quasi-equilibrium analysis of a multi-component plasma can be harnessed to explain catastrophic energy transformations in astrophysical objects. We limit ourselves to the particular class of binary systems for which the typical plasma consists of one classical ion component, and two relativistic electron components - the bulk degenerate electron gas with a small contamination of hot electrons. We derive, analytically, the conditions conducive to such a catastrophic cha…

Photonic time crystals assisted by quasi-bound states in the continuum
P. Garg, E. Almpanis, L. Zimmer, J. D. Fischbach, X. Wang, M. S. Mirmoosa, M. Nyman, N. Stefanou, N. Papanikolaou, V. Asadchy, C. Rockstuhl
https://arxiv.org/abs/2507.15644

Photonic time crystals assisted by quasi-bound states in the continuum
Photonic time crystals are a class of artificial materials that have only recently been explored. They are characterized by the ultrafast modulation of the material properties in time, causing a momentum bandgap for light that propagates through such novel states of matter. However, the observation of these unique properties at optical frequencies remains elusive, as the necessary modulation amplitudes of the permittivity to show notable momentum bandgaps are relatively high, inaccessible with …