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Biology & Life Sciences Preprint PDF DOI

Neural Investment as an Entropy-Budget Strategy: A Thermodynamic Derivation of Primate Longevity from the Principle of Biological Time Equivalence

Mesfin Taye · 2026

Primates exhibit a robust deviation from canonical allometric scaling: at fixed body mass, their lifespans exceed those of non-primate mammals by factors of two to three. A rhesus macaque (8 kg) lives…

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Physics Preprint PDF DOI

YOSO: single-frame Gerchberg-Saxton phase retrieval with AI-based data augmentation for in-line holography

Julianna Winnik, Adam Walocha, Wojciech Ogonowski, Wiktor Forjasz, Piotr Arcab, Miko{l}aj Rogalski, Aleksandra Rutkowska, Marzena Stefaniuk, Jose Angel Picazo-Bueno, Vicente Mico, Maciej Trusiak, Maria Cywinska · 2026

We present YOSO (You Only Shot Once), a single-frame phase retrieval framework for digital in-line holographic microscopy (DIHM) in which supervised deep learning is used to numerically generate an ad…

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Computer Science Preprint PDF DOI

AgentEconomist: An End-to-end Agentic System Translating Economic Intuitions into Executable Computational Experiments

Jiaju Chen, Jinghua Piao, Xia Xu, Songwei Li, Tong Xia, Xiangnan He, Yong Li · 2026

A long-standing challenge in economics lies not in the lack of intuition, but in the difficulty of translating intuitive insights into verifiable research. To address this challenge, we introduce Agen…

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Physics Preprint PDF DOI

Neuronal arithmetic operators based on Ovonic threshold switches (OTS) for biologically inspired analog computing

Jingyeong Hwang, Jaesang Lee, Jiin Bang, Younghyun Lee, Unhyeon Kang, Seungmin Oh, Kyungmin Lee, Jaehyun Park, Seongsik Park, Hyun Jae Jang, Sangbum Kim, Min Hyuk Park, Suyoun Lee · 2026

Biological neurons perform arithmetic computations - including additive integration and divisive gain modulation - through synaptic conductance changes and shunting inhibition, enabling context-depend…

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AI & Data Science Preprint PDF DOI

Sparse-View 3D Gaussian Splatting in the Wild

Wongi Park, Jordan A. James, Myeongseok Nam, Minjae Lee, Soomok Lee, Sang-Hyun Lee, William J. Beksi · 2026

We propose a 3D novel sparse-view synthesis framework for unconstrained real-world scenarios that contain distractors. Unlike existing methods that primarily perform novel-view synthesis from a sparse…

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AI & Data Science Preprint PDF DOI

BrainDINO: A Brain MRI Foundation Model for Generalizable Clinical Representation Learning

Yizhou Wu, Shansong Wang, Yuheng Li, Mojtaba Safari, Mingzhe Hu, Chih-Wei Chang, Harini Veeraraghavan, Xiaofeng Yang · 2026

Brain MRI underpins a wide range of neuroscientific and clinical applications, yet most learning-based methods remain task-specific and require substantial labeled data. Here we show that a single sel…

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Computer Science Preprint PDF DOI

Evaluating Epistemic Guardrails in AI Reading Assistants: A Behavioral Audit of a Minimal Prototype

Matthew Christian Agustin · 2026

Large language model (LLM) reading assistants are increasingly used in settings that require interpretation rather than simple retrieval. In these contexts, the central risk is not only error or unsaf…

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Computer Science Preprint PDF DOI

Upskilling with Generative AI: Practices and Challenges for Freelance Knowledge Workers

Kashif Imteyaz, Isabel Lopez, Nakul Rajpal, Hunjun Shin, Saiph Savage · 2026

Freelance workers must continually acquire new skills to remain competitive in online labor markets, yet they lack the organizational training, mentorship, and infrastructure available to traditional …

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AI & Data Science Preprint PDF DOI

Automated Detection of Mutual Gaze and Joint Attention in Dual-Camera Settings via Dual-Stream Transformers

Jakub Kosmydel, Pawe{l} Gajewski, Arkadiusz Bia{l}ek · 2026

Analyzing mutual gaze (MG) and joint attention (JA) is critical in developmental psychology but traditionally relies on labor-intensive manual coding. Automating this process in multi-camera laborator…

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AI & Data Science Preprint PDF DOI

A Multi-Dataset Benchmark of Multiple Instance Learning for 3D Neuroimage Classification

Ethan Harvey, Dennis Johan Loevlie, Amir Ali Satani, Wansu Chen, David M. Kent, Michael C. Hughes · 2026

Despite being resource-intensive to train, 3D convolutional neural networks (CNNs) have been the standard approach to classify CT and MRI scans. Recent work suggests that deep multiple instance learni…

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Mathematics Preprint PDF DOI

Projections for handling uncertainties and enabling domain truncation in diffuse optical tomography

Aada Hakula, Pauliina Hirvi, Nuutti Hyvonen, Altti Jaaskelainen, Ville Kolehmainen · 2026

This paper presents a projection-based technique to mitigate the impact of modeling errors related to domain truncation, changes in the optode coupling coefficients, and misspecified optical parameter…

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Engineering Preprint PDF DOI

Fuelling fusion plasmas with pellets: Can neuromorphic control outperform Sigma-Delta modulation?

L.L.T.C. Jansen, E. Petri, M. van Berkel, W.P.M.H. Heemels · 2026

Nuclear fusion is a promising clean energy source in which deuterium and tritium fuse inside a magnetically confined plasma in a tokamak, releasing energy. A key challenge on the route to practical nu…

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AI & Data Science Preprint PDF DOI

A Multimodal Pre-trained Network for Integrated EEG-Video Seizure Detection

Tong Lu, Ke Xu, Zimo Zhang, Zitong Zhao, Danwei Weng, Ruiyu Wang, Miao Liu, Zizuo Zhang, Jingyi Yao, Yixuan Zhao, Wenchao Zhang, Min Wang, Guoming Luan, Minmin Luo, Zhifeng Yue · 2026

Reliable seizure detection in mouse models is essential for preclinical epilepsy research, yet manual review of synchronized video-EEG recordings is labor-intensive and single-modality systems fail fo…

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Computer Science Preprint PDF DOI

Agentic AI in the Software Development Lifecycle: Architecture, Empirical Evidence, and the Reshaping of Software Engineering

Happy Bhati · 2026

The arrival of large language models (LLMs) capable of multi-step reasoning, tool use, and long-horizon planning has produced a qualitative shift in software engineering. Where earlier code-completion…

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AI & Data Science Preprint PDF DOI

ViBE: Visual-to-M/EEG Brain Encoding via Spatio-Temporal VAE and Distribution-Aligned Projection

Ganxi Xu, Zhao-Rong Lai, Yuting Tang, Yonghao Song, Shuyan Zhou, Guoxu Zhou, Boyu Wang, Jian Zhu, Jinyi Long · 2026

Brain encoding models not only serve to decipher how visual stimuli are transformed into neural responses, but also represent a critical step toward visual prostheses that restore vision for patients …

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AI & Data Science Preprint PDF DOI

A Data-Centric Framework for Intraoperative Fluorescence Lifetime Imaging for Glioma Surgical Guidance

Silvia Noble Anbunesan, Mohamed Abul Hassan, Jinyi Qi, Lisanne Kraft, Han Sung Lee, Orin Bloch, Laura Marcu · 2026

Accurate intraoperative assessment of glioma infiltration is essential for maximizing tumor resection while preserving functional brain tissue. Fluorescence lifetime imaging (FLIm) offers real-time, l…

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Computer Science Preprint PDF DOI

GenDetect: Generalizing Reactive Detection for Resilience Against Imitative DeFi Attack Cascade

Bowen Cai, Weiheng Bai, Youshui Lu, Haoran Xu, Yuannan Yang, Yajin Zhou, Kangjie Lu · 2026

As blockchain ecosystems grow, financially motivated attackers increasingly exploit decentralized finance (DeFi) protocols, causing frequent and severe losses. Unlike conventional cyberattacks, DeFi e…

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AI & Data Science Preprint PDF DOI

Think Before You Act -- A Neurocognitive Governance Model for Autonomous AI Agents

Eranga Bandara, Ross Gore, Asanga Gunaratna, Sachini Rajapakse, Isurunima Kularathna, Ravi Mukkamala, Sachin Shetty, Xueping Liang, Amin Hass, Tharaka Hewa, Abdul Rahman, Christopher K. Rhea, Anita H. Clayton, Preston Samuel, Atmaram Yarlagadda · 2026

The rapid deployment of autonomous AI agents across enterprise, healthcare, and safety-critical environments has created a fundamental governance gap. Existing approaches, runtime guardrails, training…

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Engineering Preprint PDF DOI

SlicerRoboTMS: An Open-Source 3D Slicer Extension for Robot-Assisted Transcranial Magnetic Stimulation

Wenzhi Bai, Yituo Guo, Bhaskar Basu, Andrew Weightman, Zhenhong Li · 2026

Robot-assisted Transcranial Magnetic Stimulation (Robo-TMS) is an image-guided robotic intervention that enhances the accuracy and reproducibility of conventional Transcranial Magnetic Stimulation (TM…

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Neuroscience Preprint PDF DOI

A geometry aware framework enhances noninvasive mapping of whole human brain dynamics

Song Wang, Kexin Lou, Chen Wei, Zhiyuan Sheng, Jiahao Tang, Kaining Peng, Xinke Shen, Shuhao Mei, Liang Chen, Dongfeng Gu, Quanying Liu · 2026

Non-invasive electrophysiology lacks methods that accurately reconstruct whole-brain spatiotemporal dynamics while incorporating individual cortical geometry, leaving current electroencephalography an…

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