Tootfinder

Relocated Fixed-Point Iterations with Applications to Variable Stepsize Resolvent Splitting
Felipe Atenas, Heinz H. Bauschke, Minh N. Dao, Matthew K. Tam
https://arxiv.org/abs/2507.07428

Relocated Fixed-Point Iterations with Applications to Variable Stepsize Resolvent Splitting
In this work, we develop a convergence framework for iterative algorithms whose updates can be described by a one-parameter family of nonexpansive operators. Within the framework, each step involving one of the main algorithmic operators is followed by a second step which ''relocates'' fixed-points of the current operator to the next. As a consequence, our analysis does not require the family of nonexpansive operators to have a common fixed-point, as is common in the literature. Our analysis us…

BackFed: An Efficient & Standardized Benchmark Suite for Backdoor Attacks in Federated Learning
Thinh Dao, Dung Thuy Nguyen, Khoa D Doan, Kok-Seng Wong
https://arxiv.org/abs/2507.04903

BackFed: An Efficient & Standardized Benchmark Suite for Backdoor Attacks in Federated Learning
Federated Learning (FL) systems are vulnerable to backdoor attacks, where adversaries train their local models on poisoned data and submit poisoned model updates to compromise the global model. Despite numerous proposed attacks and defenses, divergent experimental settings, implementation errors, and unrealistic assumptions hinder fair comparisons and valid conclusions about their effectiveness in real-world scenarios. To address this, we introduce BackFed - a comprehensive benchmark suite desi…

Shadows of rotating black holes with parity-odd scalar hair
Yang Huang, Dao-Jun Liu, Hongsheng Zhang
https://arxiv.org/abs/2507.04761 https://

Shadows of rotating black holes with parity-odd scalar hair
Strong self-gravitational fields enable the realization of macroscopic odd-parity quantum objects. Using ray-tracing methods, we systematically analyze the shadow features of rotating black holes with parity-odd scalar hair and contrast them with those of Kerr black holes. Our results demonstrate measurable distinctions between scalar-haired black hole shadows and their Kerr counterparts. Notably, even for tiny scalar charge and negligible scalar hair mass contributions, these differences remai…

An Adaptive Port Technique for Synthesising Rotational Components in Component Modal Synthesis Approaches
Xiang Zhao, My Ha Dao
https://arxiv.org/abs/2507.03276

An Adaptive Port Technique for Synthesising Rotational Components in Component Modal Synthesis Approaches
Component Modal Synthesis (CMS) is a reduced order modelling method widely used for large-scale complex systems. It can effectively approximate system-level models through component synthesis, in which the repetitive geometrical components are modelled once and synthesised together. However, the conventional CMS only applies to systems with stationary components connected by strictly compatible ports, limiting it from modelling systems with moving components. This paper presents an adaptive por…

Recent Advances in Medical Image Classification
Loan Dao, Ngoc Quoc Ly
https://arxiv.org/abs/2506.04129 https://arxiv.org/pdf/2506.04…

Recent Advances in Medical Image Classification
Medical image classification is crucial for diagnosis and treatment, benefiting significantly from advancements in artificial intelligence. The paper reviews recent progress in the field, focusing on three levels of solutions: basic, specific, and applied. It highlights advances in traditional methods using deep learning models like Convolutional Neural Networks and Vision Transformers, as well as state-of-the-art approaches with Vision Language Models. These models tackle the issue of limited …

Periodicity of ideals of minors over artinian stretched Gorenstein rings
Trung Chau
https://arxiv.org/abs/2507.05225 https://arxiv.or…

Periodicity of ideals of minors over artinian stretched Gorenstein rings
We prove that over artinian stretched Gorenstein rings, the ideals of minors of a minimal free resolution of any finitely generated module are eventually 2-periodic. This is an analog of results obtained over complete intersections and Golod rings proved by Brown, Dao, and Sridhar.

EDGChain-E: A Decentralized Git-Based Framework for Versioning Encrypted Energy Data
Alper Alimoglu, Kamil Erdayandi, Mustafa A. Mustafa, \"Umit Cali
https://arxiv.org/abs/2507.01615

EDGChain-E: A Decentralized Git-Based Framework for Versioning Encrypted Energy Data
This paper proposes a new decentralized framework, named EDGChain-E (Encrypted-Data-Git Chain for Energy), designed to manage version-controlled, encrypted energy data using blockchain and the InterPlanetary File System. The framework incorporates a Decentralized Autonomous Organization (DAO) to orchestrate collaborative data governance across the lifecycle of energy research and operations, such as smart grid monitoring, demand forecasting, and peer-to-peer energy trading. In EDGChain-E, initi…

Calibrating $\rm{DM_{IGM}}-z$ relation using host galaxies of FRBs
Rui-Nan Li (NJU), Ke Xu (NJU), Dao-Hong Gao (NJU), Qin Wu (NJU), Shuang-Xi Yi (NJU), F. Y. Wang (NJU)
https://arxiv.org/abs/2507.01270

Calibrating $\rm{DM_{IGM}}-z$ relation using host galaxies of FRBs
Fast radio bursts (FRBs) are extragalactic radio transients that offer valuable insight of intergalactic medium (IGM). However, the dispersion measure (DM) contributed by IGM ($\rm{DM_{IGM}}$) is degenerated with that from the host galaxy ($\rm{DM_{host}}$), necessitating calibration of the $\rm{DM_{IGM}}$$-z$ relation for cosmological applications. As $\rm{DM_{host}}$ is expected to correlate with host galaxy properties, it is feasible to estimate $\rm{DM_{host}}$ from observable host characte…

Electric Field Induced Superconductivity in Bilayer Octagraphene
Yitong Yao, Jun Li, Jiacheng Ye, Fan Yang, Dao-Xin Yao
https://arxiv.org/abs/2507.02830 ht…

Electric Field Induced Superconductivity in Bilayer Octagraphene
We investigate the energy bands, magnetism, and superconductivity of bilayer octagraphene with A-A stacking under a perpendicular electric field. A tight-binding model is used to analyze the band structure of the system. The doubling of the unit cell results in each band of the single layer splitting into two. We find that applying a perpendicular electric field increases the band splitting. As the electric field strength increases, the nesting of the Fermi Surface(FS) weakens, eventually disru…

A Comprehensive Study on Medical Image Segmentation using Deep Neural Networks
Loan Dao, Ngoc Quoc Ly
https://arxiv.org/abs/2506.04121 https://

A Comprehensive Study on Medical Image Segmentation using Deep Neural Networks
Over the past decade, Medical Image Segmentation (MIS) using Deep Neural Networks (DNNs) has achieved significant performance improvements and holds great promise for future developments. This paper presents a comprehensive study on MIS based on DNNs. Intelligent Vision Systems are often evaluated based on their output levels, such as Data, Information, Knowledge, Intelligence, and Wisdom (DIKIW),and the state-of-the-art solutions in MIS at these levels are the focus of research. Additionally, …

E-FreeM2: Efficient Training-Free Multi-Scale and Cross-Modal News Verification via MLLMs
Van-Hoang Phan, Long-Khanh Pham, Dang Vu, Anh-Duy Tran, Minh-Son Dao
https://arxiv.org/abs/2506.20944

E-FreeM2: Efficient Training-Free Multi-Scale and Cross-Modal News Verification via MLLMs
The rapid spread of misinformation in mobile and wireless networks presents critical security challenges. This study introduces a training-free, retrieval-based multimodal fact verification system that leverages pretrained vision-language models and large language models for credibility assessment. By dynamically retrieving and cross-referencing trusted data sources, our approach mitigates vulnerabilities of traditional training-based models, such as adversarial attacks and data poisoning. Addi…

Development of Thin-Gap GEM-{\mu}RWELL Hybrid Detectors
Kondo Gnanvo, Xinzhan Bai, Brian Kross, Minh Dao, Seung Joon Lee, Nilanga Liyanage, Huong Nguyen, Matt Posik, Nikolai Smirnov, Sourav Tarafdar, Andrew Weisenberger
https://arxiv.org/abs/2506.17735

Development of Thin-Gap GEM-μRWELL Hybrid Detectors
Micro Pattern Gaseous Detectors (MPGDs) are used for tracking in High Energy Physics and Nuclear Physics because of their large area, excellent spatial resolution capabilities and low cost. However, for high energy charged particles impacting at a large angle with respect to the axis perpendicular to detector plane, the spatial resolution degrades significantly because of the long trail of ionization charges produced in clusters all along the track in the drift region of the detector. The long …

Probing valence electron and hydrogen dynamics using charge-pair imaging with ultrafast electron diffraction
Tianyu Wang, Hui Jiang, Ming Zhang, Xiao Zou, Pengfei Zhu, Feng He, Zheng Li, Dao Xiang
https://arxiv.org/abs/2506.21047

Probing valence electron and hydrogen dynamics using charge-pair imaging with ultrafast electron diffraction
A key challenge in ultrafast science has been to directly track the coupled motions of electrons and nuclei in real-space and real-time. This study presents a significant step towards this goal by demonstrating the feasibility of time-resolved real-space tracking of valence electron and hydrogen dynamics during the photodissociation of ammonia (NH3) using MeV ultrafast electron diffraction. It is demonstrated that the enhanced temporal resolution, in conjunction with the analysis of the charge-…

Repeated Auctions with Speculators: Arbitrage Incentives and Forks in DAOs
Nicolas Eschenbaum, Nicolas Greber
https://arxiv.org/abs/2505.21296 https://

Repeated Auctions with Speculators: Arbitrage Incentives and Forks in DAOs
We analyze the vulnerability of decentralized autonomous organizations (DAOs) to speculative exploitation via their redemption mechanisms. Studying a game-theoretic model of repeated auctions for governance shares with speculators, we characterize the conditions under which -- in equilibrium -- an exploitative exit is guaranteed to occur, occurs in expectation, or never occurs. We evaluate four redemption mechanisms and extend our model to include atomic exits, time delays, and DAO spending str…

Unsupervised deep learning model for fast energy layer pre-selection of delivery-efficient proton arc therapy plan optimization of nasopharyngeal carcinoma
Bohan Yang, Gang Liu, Rirao Dao, Yujia Qian, Ke Shi, Anke Tang, Yong Luo, Jingnan Liu
https://arxiv.org/abs/2506.15803

Unsupervised deep learning model for fast energy layer pre-selection of delivery-efficient proton arc therapy plan optimization of nasopharyngeal carcinoma
Objective. Proton arc therapy (PAT) is an emerging and promising modality in radiotherapy, offering several advantages over conventional intensitymodulated proton therapy (IMPT). However, identifying the optimal energy layer (EL) sequence remains computationally intensive due to the large number of possible energy layer transitions. This study proposes an unsupervised deep learning framework for fast and effective EL pre-selection, aiming to minimize energy layer switch time while preserving hi…

This https://arxiv.org/abs/2505.15707 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_mat…

When are syzygies of the residue field self-dual?
Finitely generated reflexive modules over commutative Noetherian rings form a key component of Auslander and Bridger's stable module theory and are likewise essential in the study of Cohen--Macaulay representations. Recently, H. Dao characterized Arf local rings as exactly those one-dimensional Cohen--Macaulay local rings over which every finitely generated reflexive module is self-dual, and raised the general question of characterizing rings over which every finitely generated reflexive module…

This https://arxiv.org/abs/2505.15707 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_mat…

When are syzygies of the residue field self-dual?
Finitely generated reflexive modules over commutative Noetherian rings form a key component of Auslander and Bridger's stable module theory and are likewise essential in the study of Cohen--Macaulay representations. Recently, H. Dao characterized Arf local rings as exactly those one-dimensional Cohen--Macaulay local rings over which every finitely generated reflexive module is self-dual, and raised the general question of characterizing rings over which every finitely generated reflexive module…