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AI & Data Science Preprint PDF DOI

Beyond the mean: Sequence analysis methods for clustering ordinal EMA data

Tianyi Wang, Anna L. Smith, Jillian R. Silva-Jones, Wendy Berry Mendes, Lauren N. Whitehurst · 2026

Ecological momentary assessment (EMA) ratings are widely used in studies of behavioral and psychological phenomena to capture real-time data in subjects' real-world environments. Because the data are …

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AI & Data Science Preprint PDF DOI

EAD-Net: Emotion-Aware Talking Head Generation with Spatial Refinement and Temporal Coherence

Yahui Li, Yinfeng Yu, Liejun Wang, Shengjie Shen · 2026

Emotionally talking head video generation aims to generate expressive portrait videos with accurate lip synchronization and emotional facial expressions. Current methods rely on simple emotional label…

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Physics Preprint PDF DOI

Greybody Factor, Resonant Frequencies, and Entropy Quantization of Charged Scalar Fields in the Kerr-EMDA Black Hole

Naz{i}m Sertkan, Izzet Sakall{i} · 2026

We study charged massive scalar field perturbations on the rotating black hole (BH) background of Einstein-Maxwell-Dilaton-Axion (EMDA) theory, known as the Kerr-EMDA BH. Starting from the gauge-covar…

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Physics Preprint PDF DOI

Possible fractal nature of accretion flows in MAD and SANE simulations: Implications to GRS 1915+105

Srishty Aggarwal, Rohan Raha, Mayank Pathak, Banibrata Mukhopadhyay · 2026

The general relativistic magnetohydrodynamic (GRMHD) simulations are widely used to study accretion disk and jet dynamics around a black hole. Despite strong observational evidences for intrinsically …

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Mathematics Preprint PDF DOI

The Three-Dimensional Stochastic EMHD System: Local Well-Posedness and Maximal Pathwise Solutions

Ruimeng Hu, Qirui Peng, Xu Yang · 2026

We study the three-dimensional stochastic electron magnetohydrodynamics (EMHD) system with fractional dissipation on the torus, driven by Stratonovich transport noise acting through divergence-free fi…

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Computer Science Preprint PDF DOI

Parameterized Algorithms for Computing MAD Trees

Tom-Lukas Breitkopf, Vincent Froese, Anton Herrmann, Andre Nichterlein, Camille Richer · 2026

We consider the well-studied problem of finding a spanning tree with minimum average distance between vertex pairs (called a MAD tree). This is a classic network design problem which is known to be NP…

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Physics Preprint PDF DOI

Tearing and Kelvin-Helmholtz dynamics in fully kinetic particle-in-cell simulations of electron-scale current sheets

Sushmita A. Mishra, Gurudatt Gaur · 2026

We investigate the stability and nonlinear evolution of localized electron-scale current sheets using fully kinetic, electromagnetic particle-in-cell (PIC) simulations in two and three dimensions. By …

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AI & Data Science Preprint PDF DOI

Towards Video Anomaly Detection from Event Streams: A Baseline and Benchmark Datasets

Peng Wu, Yuting Yan, Guansong Pang, Yujia Sun, Qingsen Yan, Peng Wang, Yanning Zhang · 2026

Event-based vision, characterized by low redundancy, focus on dynamic motion, and inherent privacy-preserving properties, naturally fits the demands of video anomaly detection (VAD). However, the abse…

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Physics Preprint PDF DOI

Rotational excitation of asymmetric-top molecular ions by electron impact: application to H$_2$O$^+$, HDO$^+$, and D$_2$O$^+$

Joshua Forer · 2026

The rotational excitation of the three asymmetric-top molecular ion isotopologues H$_2$O$^+$, HDO$^+$, and D$_2$O$^+$ is studied theoretically using a combined framework of electron-molecule R-matrix …

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Engineering Preprint PDF DOI

EMPD: An Event-based Multimodal Physiological Dataset for Remote Pulse Wave Detection

Qian Feng, Pengfei Li, Rongshan Gao, Jiale Xu, Rui Gong, Yidi Li · 2026

Remote photoplethysmography (rPPG) based on traditional frame-based cameras often struggles with motion artifacts and limited temporal resolution. To address these limitations, we introduce EMPD (Even…

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AI & Data Science Preprint PDF DOI

EMA Is Not All You Need: Mapping the Boundary Between Structure and Content in Recurrent Context

Arth Singh · 2026

What exactly do efficient sequence models gain over simple temporal averaging? We use exponential moving average (EMA) traces, the simplest recurrent context (no gating, no content-based retrieval), a…

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Mathematics Preprint PDF DOI

Existence, Uniqueness, and Smoothing for Generalized EMHD

Chao Wu · 2026

We study the Cauchy problem for generalized electron magnetohydrodynamics (EMHD). We establish the local existence and uniqueness of solutions in critical Sobolev spaces, as well as global existence a…

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AI & Data Science Preprint PDF DOI

SRL-MAD: Structured Residual Latents for One-Class Morphing Attack Detection

Diogo J. Paulo, Hugo Proenca, Joao C. Neves · 2026

Face morphing attacks represent a significant threat to biometric systems as they allow multiple identities to be combined into a single face. While supervised morphing attack detection (MAD) methods …

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AI & Data Science Preprint PDF DOI

MAD: Microenvironment-Aware Distillation -- A Pretraining Strategy for Virtual Spatial Omics from Microscopy

Jiashu Han, Kunzan Liu, Yeojin Kim, Saurabh Sinha, Sixian You · 2026

Bridging microscopy and omics would allow us to read molecular states from images-at single-cell resolution and tissue scale-without the cost and throughput limits of omics technologies. Self-supervis…

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Computer Science Preprint PDF DOI

MAD: Memory Allocation meets Software Diversity

Manuel Wiesinger, Daniel Dorfmeister, Stefan Brunthaler · 2026

Vulnerabilities emanating from DRAM errors pose a vexing problem that remains, as of yet, unsolved and elusive but cannot be ignored. Prior defenses focused on specific details of early RowHammer atta…

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Medicine & Health Preprint PDF DOI

Sparse probabilistic evaluation for treatment planning: a feasibility study in IMPT head & neck patients

Jenneke I. de Jong, Steven J.M. Habraken, Albin Fredriksson, Johan Sundstrom, Erik Engwall, Sebastiaan Breedveld, Mischa S. Hoogeman · 2026

Probabilistic evaluation improves the trade-off between target coverage and OAR sparing in IMPT but remains computationally demanding. This study proposes sparse probabilistic evaluation (SPE), a comp…

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Physics Preprint PDF DOI

Energy Extraction and Particle Acceleration in String-Inspired Rotating Einstein-Maxwell-Dilaton-Axion Black Hole

Arindam Kumar Chatterjee · 2026

We study energy extraction and particle acceleration in the rotating Einstein-Maxwell-Dilaton-Axion (EMDA) black hole, focusing on the impact of dilaton hair $b\le 0$ on near-horizon energetics relati…

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Engineering Preprint PDF DOI

MAD: A Multimodal and Multi-perspective Affective Dataset with Hierarchical Annotations

Shengwei Guo, Yunqing Qiao, Wenzhan Zhang, Bo Liu, Yong Wang, Guobing Sun · 2026

This work presents MAD (Multimodal Affection Dataset), a multimodal emotion dataset designed for affective computing and neurophysiological modeling. MAD is built upon synchronous collection of divers…

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Computer Science Preprint PDF DOI

Robust Single-message Shuffle Differential Privacy Protocol for Accurate Distribution Estimation

Xiaoguang Li, Hanyi Wang, Yaowei Huang, Jungang Yang, Qingqing Ye, Haonan Yan, Ke Pan, Zhe Sun, Hui Li · 2026

Shuffler-based differential privacy (shuffle-DP) is a privacy paradigm providing high utility by involving a shuffler to permute noisy report from users. Existing shuffle-DP protocols mainly focus on …

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AI & Data Science Preprint PDF DOI

A Unified Framework for Joint Detection of Lacunes and Enlarged Perivascular Spaces

Lucas He, Krinos Li, Hanyuan Zhang, Runlong He, Silvia Ingala, Luigi Lorenzini, Marleen de Bruijne, Frederik Barkhof, Rhodri Davies, Carole Sudre · 2026

Cerebral small vessel disease (CSVD) markers, specifically enlarged perivascular spaces (EPVS) and lacunae, present a unique challenge in medical image analysis due to their radiological mimicry. Stan…

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