Tootfinder

On the exact solutions of a two-dimensional hydrogen atom in a constant magnetic field
Francisco M. Fern\'andez
https://arxiv.org/abs/2506.07765 https:…

On the exact solutions of a two-dimensional hydrogen atom in a constant magnetic field
We analyse the exact solutions to some quantum-mechanical models derived recently by means of a generalization of the Frobenius method. In particular, we carry out an interpretation of the polynomial solutions obtained for the two-dimensional hydrogen atom in a constant magnetic field by comparing the exact solutions with numerical results provided by the Rayleigh-Ritz method.

Convergence Analysis of the Self-Adaptive Projection Method for Variational Inequalities with Non-Lipschitz Continuous Operators
Meiying Wang, Hongwei Liu, Jun Yang
https://arxiv.org/abs/2506.07349

Convergence Analysis of the Self-Adaptive Projection Method for Variational Inequalities with Non-Lipschitz Continuous Operators
In this paper, we employ Tseng's extragradient method with the self-adaptive stepsize to solve variational inequality problems involving non-Lipschitz continuous and quasimonotone operators in real Hilbert spaces. The convergence of the proposed method is analyzed under some mild assumptions. The key advantages of the method are that it does not require the operator associated with the variational inequality to be Lipschitz continuous and that it adopts the self-adaptive stepsize. Numerical exp…

Radio-loud AGN morphology and host-galaxy properties in the LOFAR Two-Metre Sky Survey Data Release 2
L. Clews, J. H. Croston, H. Dickinson, B. Mingo, M. J. Hardcastle, B. Barkus, J. M. G. H. J. de Jong, H. J. A. R\"ottgering
https://arxiv.org/abs/2506.08878

Radio-loud AGN morphology and host-galaxy properties in the LOFAR Two-Metre Sky Survey Data Release 2
Radio-loud active galaxies (RLAGN) can exhibit various morphologies. The Fanaroff-Riley (FR) classifications, which are defined by the locations of peaks in surface brightness, have been applied to many catalogues of RLAGN. The FR classifications were initially found to correlate with radio luminosity. However, recent surveys have demonstrated that radio luminosity alone does not reliably predict radio morphology. We have devised a new-semi automated method involving ridgeline characterisations…

Detecting State Manipulation Vulnerabilities in Smart Contracts Using LLM and Static Analysis
Hao Wu, Haijun Wang, Shangwang Li, Yin Wu, Ming Fan, Yitao Zhao, Ting Liu
https://arxiv.org/abs/2506.08561

Detecting State Manipulation Vulnerabilities in Smart Contracts Using LLM and Static Analysis
An increasing number of DeFi protocols are gaining popularity, facilitating transactions among multiple anonymous users. State Manipulation is one of the notorious attacks in DeFi smart contracts, with price variable being the most commonly exploited state variable-attackers manipulate token prices to gain illicit profits. In this paper, we propose PriceSleuth, a novel method that leverages the Large Language Model (LLM) and static analysis to detect Price Manipulation (PM) attacks proactively.…

Multimodal Zero-Shot Framework for Deepfake Hate Speech Detection in Low-Resource Languages
Rishabh Ranjan, Likhith Ayinala, Mayank Vatsa, Richa Singh
https://arxiv.org/abs/2506.08372

Multimodal Zero-Shot Framework for Deepfake Hate Speech Detection in Low-Resource Languages
This paper introduces a novel multimodal framework for hate speech detection in deepfake audio, excelling even in zero-shot scenarios. Unlike previous approaches, our method uses contrastive learning to jointly align audio and text representations across languages. We present the first benchmark dataset with 127,290 paired text and synthesized speech samples in six languages: English and five low-resource Indian languages (Hindi, Bengali, Marathi, Tamil, Telugu). Our model learns a shared seman…

First positronium imaging using $^{44}$Sc with the J-PET scanner: a case study on the NEMA-Image Quality phantom
Manish Das, Sushil Sharma, Aleksander Bilewicz, Jaros{\l}aw Choi\'nski, Neha Chug, Catalina Curceanu, Eryk Czerwi\'nski, Jakub Hajduga, Sharareh Jalali, Krzysztof Kacprzak, Tevfik Kaplanoglu, {\L}ukasz Kap{\l}on, Kamila Kasperska, Aleksander Khreptak, Grzegorz Korcyl, Tomasz Kozik, Karol Kubat, Deepak Kumar, Anoop Kunimmal Venadan, Edward Lisowski, Filip Lisowski, Ju…

First positronium imaging using $^{44}$Sc with the J-PET scanner: a case study on the NEMA-Image Quality phantom
Positronium Lifetime Imaging (PLI), an emerging extension of conventional positron emission tomography (PET) imaging, offers a novel window for probing the submolecular properties of biological tissues by imaging the mean lifetime of the positronium atom. Currently, the method is under rapid development in terms of reconstruction and detection systems. Recently, the first in vivo PLI of the human brain was performed using the J-PET scanner utilizing the $^{68}$Ga isotope. However, this isotope …

In-situ tuning of cavity dissipation and a topological transition in an atom-nanotip-cavity system
Taegyu Ha, Kiyanoush Goudarzi, Dowon Lee, Donggeon Kim, Eunchul Jeong, Uijin Kim, Myunghun Kim, Jinuk Kim, Moonjoo Lee
https://arxiv.org/abs/2506.07800

In-situ tuning of cavity dissipation and a topological transition in an atom-nanotip-cavity system
We theoretically investigate a method for tuning a dissipation rate in an atom-cavity system. By inserting a nanotip into the cavity mode, we estimate that the cavity dissipation rate increases by a factor of approximately 20, due to the scattering loss at the tip. As applications of our in-situ technique, we demonstrate that an exceptional line can be obtained when a single atom or ion is coupled to the resonator. Moreover, the position of an exceptional point is tuned by adjusting the decay r…

LinGuinE: Longitudinal Guidance Estimation for Volumetric Lung Tumour Segmentation
Nadine Garibli, Mayank Patwari, Bence Csiba, Yi Wei, Kostas Sidiropoulos
https://arxiv.org/abs/2506.06092

LinGuinE: Longitudinal Guidance Estimation for Volumetric Lung Tumour Segmentation
Segmentation of lung gross tumour volumes is an important first step in radiotherapy and surgical intervention, and is starting to play a role in assessing chemotherapy response. Response to a drug is measured by tracking the tumour volumes over a series of CT scans over a time period i.e. a longitudinal study. However, there currently exist few solutions for automated or semi-automated longitudinal tumour segmentation. This paper introduces LinGuinE, an automated method to segment a longitudin…

Inverse elastic obstacle scattering problems by monotonicity method
Mengjiao Bai, Huaian Diao, Weisheng Zhou
https://arxiv.org/abs/2506.04655 https://

Inverse elastic obstacle scattering problems by monotonicity method
We consider the elastic wave scattering problem involving rigid obstacles. This work addresses the inverse problem of reconstructing the position and shape of such obstacles using far-field measurements. A novel monotonicity-based approach is developed for this purpose. By factorizing the far-field operator and utilizing the existence of localized wave functions, we derive a shape characterization criterion for the obstacle boundary. The proposed method employs monotonicity tests to determine t…

Complexity reduction of physical models: an equation-free approach by means of scaling
Simone Rusconi, Christina Schenk, Razvan Ceuca, Arghir Zarnescu, Elena Akhmatskaya
https://arxiv.org/abs/2506.05029

Complexity reduction of physical models: an equation-free approach by means of scaling
The description of complex physical phenomena often involves sophisticated models that rely on a large number of parameters, with many dimensions and scales. One practical way to simplify that kind of models is to discard some of the parameters, or terms of underlying equations, thus giving rise to reduced models. Here, we propose a general approach to obtaining such reduced models. The method is independent of the model in use, i.e., equation-free, depends only on the interplay between the sca…