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Mathematics Preprint PDF DOI

Supercriticality of the SIRS on random networks

Phuc Lam, Oanh Nguyen · 2026

We study how long the SIRS process persists or how quickly it reaches extinction across various network topologies. Our results provide a three-part characterization of this process: In finite sparse …

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Biology & Life Sciences Preprint PDF DOI

Epidemic Extinction in a Continuous SIRS Model with Vaccination

Germano Hartmann Brill, Pablo Enrique Jurado Silvestrin, Sebastian Goncalves · 2026

Epidemics have shaped human history, often with devastating consequences, motivating the development of mathematical models to understand and control their dynamics. Among the many aspects of epidemic…

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Mathematics Preprint PDF DOI

Waning Immunity Fails to Restore a Positive Epidemic Threshold on Power-Law Networks

Zihao He, Souvik Dhara, Debankur Mukherjee · 2026

In a seminal work, Chatterjee and Durrett (2009) established that for the SIS epidemic process on random graphs with power-law degree distributions, the infection survives for an exponentially long ti…

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Computer Science Preprint PDF DOI

Scalable and Verifiable Federated Learning for Cross-Institution Financial Fraud Detection

Prajwal Panth, Nishant Nigam · 2026

The global financial ecosystem confronts a critical asymmetry: while fraud syndicates operate as borderless, distributed networks, banking institutions remain constrained by regulatory data silos, lim…

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Economics & Finance Preprint PDF DOI

Research Streams in Biodiversity Finance: A Bibliometric Analysis and Research Agenda

Lennart Ante, Friedrich-Philipp Wazinski, Aman Saggu · 2026

Biodiversity loss is accelerating at an unprecedented pace, threatening ecosystem stability, economic resilience, and human well-being, with billions required to reverse current trends. Against this b…

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Biology & Life Sciences Preprint PDF DOI

Supregraph: Enabling Information-Optimal Assembly Graph Representation of a Read Set

Anton Bankevich · 2026

The first step in any genome assembly algorithm entails the conversion from the domain of strings and overlaps to the language of graphs and paths, typically using one of the two conventional methods:…

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Engineering Preprint PDF DOI

On the dynamic behavior of the network SIRS epidemic model

Giulia Gatti, Giacomo Como · 2026

We study the Suscectible-Infected-Recovered-Susceptible (SIRS) epidemic model on deterministic networks. For connected but otherwise general interaction patterns and heterogeneous recovery and loss-of…

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Physics Preprint PDF DOI

Unjamming in a 3D Granular System: The Micromechanical Role of Friction in Force Distributions and Rheological Properties

Vicente Salinas, Hector Alarcon, Eduardo Rojas, Pablo Gutierrez, Gustavo Castillo · 2026

In this work, we investigate the unjamming transition in a three-dimensional granular system composed of frictional spheres, in which the packing fraction is systematically reduced by random particle …

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Computer Science Preprint PDF DOI

Analysis of AWW (Anganwadi Workers) Training Content, ILA (Incremental Learning Approach) Modules Following CDT (Component Display Theory)

Arka Majhi, Satish B. Agnihotri · 2026

POSHAN Abhiyan envisages capacity building of AWWs or frontline health workers through 21 training modules of ILA (Incremental Learning Approach), modularising the net learning content into smaller le…

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Physics Preprint PDF DOI

Anisotropic spin-valley coupling in SiMOS and Si/SiGe quantum dots

N. Tobias Jacobson, Natalie D. Foster, Ryan M. Jock, Andrew M. Mounce, Daniel R. Ward, Malcolm S. Carroll, Dwight R. Luhman · 2026

While bulk silicon has long been understood to exhibit relatively weak spin-orbit coupling (SOC), confinement of electrons to quantum dots (QDs) at a silicon heterointerface results in significantly l…

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AI & Data Science Preprint PDF DOI

Memory Transfer Learning: How Memories are Transferred Across Domains in Coding Agents

Kangsan Kim, Minki Kang, Taeil Kim, Yanlai Yang, Mengye Ren, Sung Ju Hwang · 2026

Memory-based self-evolution has emerged as a promising paradigm for coding agents. However, existing approaches typically restrict memory utilization to homogeneous task domains, failing to leverage t…

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AI & Data Science Preprint PDF DOI

A Proposed Biomedical Data Policy Framework to Reduce Fragmentation, Improve Quality, and Incentivize Sharing in Indian Healthcare in the era of Artificial Intelligence and Digital Health

Nikhil Mehta, Sachin Gupta, Gouri RP Anand · 2026

India generates vast biomedical data through postgraduate research, government hospital services and audits, government schemes, private hospitals and their electronic medical record (EMR) systems, in…

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Sociology & Anthropology Preprint PDF DOI

Epidemic Transmission Modelling on the Birth-death Evolving Network with Indirect Contacts

Minyu Feng, Yuhan Li, Jurgen Kurths · 2026

Epidemic modelling on complex networks has been studied intensively all the time. The majority of relative research assumes that the time scale of the underlying network evolution is much larger compa…

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Physics Preprint PDF DOI

SPIROS: Streamlined, Precise, Intuitive, and Rapid Optical Simulator for particle physics detectors

Tatsuya Kikawa · 2026

This paper presents SPIROS (Streamlined, Precise, Intuitive, and Rapid Optical Simulator), a dedicated optical simulation tool developed for the design and analysis of particle physics detectors. Unli…

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AI & Data Science Preprint PDF DOI

iLBA: An R package for confidentially disseminating aggregated frequency tables

Jeehyun Hwang, Dongsun Yoon, Sungkyu Jung, Min-Jeong Park, Inkwon Yeo · 2026

Statistical agencies frequently release frequency tables derived from microdata, but small frequency cells may lead to disclosure risks. We present \texttt{iLBA}, an open-source \textsf{R} package for…

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Neuroscience Preprint PDF DOI

Neurological Plausibility of AI-Generated Music for Commercial Environments: An In-Silico Cortical Investigation Using Wubble and TRIBE v2

Shaad Sufi · 2026

Background music shapes attention, affect, and approach behavior in commercial environments, yet the neural plausibility of AI-generated music for such settings remains poorly characterized. We presen…

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AI & Data Science Preprint PDF DOI

FecalFed: Privacy-Preserving Poultry Disease Detection via Federated Learning

Tien-Yu Chi · 2026

Early detection of highly pathogenic avian influenza (HPAI) and endemic poultry diseases is critical for global food security. While computer vision models excel at classifying diseases from fecal ima…

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Computer Science Preprint PDF DOI

TENT: A Declarative Slice Spraying Engine for Performant and Resilient Data Movement in Disaggregated LLM Serving

Feng Ren, Ruoyu Qin, Teng Ma, Shangming Cai, Zheng Liu, Chao Lei, Dejiang Zhu, Ke Yang, Zheming Li, Jialei Cui, Weixiao Huang, Yikai Zhao, Yineng Zhang, Hao Wu, Xiang Gao, Yuhao Fu, Jinlei Jiang, Yongwei Wu, Mingxing Zhang · 2026

Modern GPU clusters are built upon a complex hierarchy of heterogeneous interconnects, ranging from multi-rail RDMA to proprietary fabrics such as Multi-Node NVLink and Ascend UB. Orchestrating these …

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AI & Data Science Preprint PDF DOI

Project Imaging-X: A Survey of 1000+ Open-Access Medical Imaging Datasets for Foundation Model Development

Zhongying Deng, Cheng Tang, Ziyan Huang, Jiashi Lin, Ying Chen, Junzhi Ning, Chenglong Ma, Jiyao Liu, Wei Li, Yinghao Zhu, Shujian Gao, Yanyan Huang, Sibo Ju, Yanzhou Su, Pengcheng Chen, Wenhao Tang, Tianbin Li, Haoyu Wang, Yuanfeng Ji, Hui Sun, Shaobo Min, Liang Peng, Feilong Tang, Haochen Xue, Rulin Zhou, Chaoyang Zhang, Wenjie Li, Shaohao Rui, Weijie Ma, Xingyue Zhao, Yibin Wang, Kun Yuan, Zhaohui Lu, Shujun Wang, Jinjie Wei, Lihao Liu, Dingkang Yang, Lin Wang, Yulong Li, Haolin Yang, Yiqing Shen, Lequan Yu, Xiaowei Hu, Yun Gu, Yicheng Wu, Benyou Wang, Minghui Zhang, Angelica I. Aviles-Rivero, Qi Gao, Hongming Shan, Xiaoyu Ren, Fang Yan, Hongyu Zhou, Haodong Duan, Maosong Cao, Shanshan Wang, Bin Fu, Xiaomeng Li, Zhi Hou, Chunfeng Song, Lei Bai, Yuan Cheng, Yuandong Pu, Xiang Li, Wenhai Wang, Hao Chen, Jiaxin Zhuang, Songyang Zhang, Huiguang He, Mengzhang Li, Bohan Zhuang, Zhian Bai, Rongshan Yu, Liansheng Wang, Yukun Zhou, Xiaosong Wang, Xin Guo, Guanbin Li, Xiangru Lin, Dakai Jin, Mianxin Liu, Wenlong Zhang, Qi Qin, Conghui He, Yuqiang Li, Ye Luo, Nanqing Dong, Jie Xu, Wenqi Shao, Bo Zhang, Qiujuan Yan, Yihao Liu, Jun Ma, Zhi Lu, Yuewen Cao, Zongwei Zhou, Jianming Liang, Shixiang Tang, Qi Duan, Dongzhan Zhou, Chen Jiang, Yuyin Zhou, Yanwu Xu, Jiancheng Yang, Shaoting Zhang, Xiaohong Liu, Siqi Luo, Yi Xin, Chaoyu Liu, Haochen Wen, Xin Chen, Alejandro Lozano, Min Woo Sun, Yuhui Zhang, Yue Yao, Xiaoxiao Sun, Serena Yeung-Levy, Xia Li, Jing Ke, Chunhui Zhang, Zongyuan Ge, Ming Hu, Jin Ye, Zhifeng Li, Yirong Chen, Yu Qiao, Junjun He · 2026

Foundation models have demonstrated remarkable success across diverse domains and tasks, primarily due to the thrive of large-scale, diverse, and high-quality datasets. However, in the field of medica…

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Medicine & Health Preprint PDF DOI

Fluid dynamics informed CCTA-derived geometric parameters in right coronary artery anomalies predict abnormal invasive Adenosine FFR and Dobutamine FFR

Ali Mokhtari, Anselm W. Stark, Dominik Obrist, Marius R. Bigler, Stefano F de Marchi, Lorenz Raber, Isaac Shiri, Christoph Graeni · 2026

Background: Right anomalous aortic origin of coronary arteries (R-AAOCA) involves fixed compression, assessable with adenosine-derived fractional flow reserve (FFRAdnosine), and additional stress-indu…

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