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Physics Preprint PDF DOI

Asteroseismic analysis of RY Leporis: the post-main sequence HADS in a binary system

Wojciech Niewiadomski, Jadwiga Daszynska-Daszkiewicz, Przemys{l}aw Walczak, Wojciech Szewczuk, Eloy Rodriguez, Piotr Ko{l}aczek-Szymanski, Aliz Derekas · 2026

We present a comprehensive study of the pulsating primary component of the long-period binary system RY Lep. The spectral energy distribution and the absence of detectable lines indicate that the comp…

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Engineering Preprint PDF DOI

Cross-Linguistic Rhythmic and Spectral Feature-Based Analysis of Nyishi and Adi: Two Under-Resourced Languages of Arunachal Pradesh

Deepshikha Gogoi, Parismita Gogoi, Yang Saring · 2026

Under-resourced languages remain underrepresented in quantitative rhythm research,particularly in systematic intra-branch analysis of acoustic differentiation within closely related linguistic groups.…

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Mathematics Preprint PDF DOI

A Low-rank ADI Algorithm for Solving Large-scale Non-symmetric Algebraic Riccati Equations

Umair Zulfiqar · 2026

This paper considers large-scale nonsymmetric continuous-time algebraic Riccati equations (NAREs) that admit low-rank solutions. Low-rank alternating direction implicit (ADI) methods have proven to be…

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Computer Science Preprint PDF DOI

Research on the efficiency of data loading and storage in Data Lakehouse architectures for the formation of analytical data systems

Ivan Borodii, Halyna Osukhivska · 2026

The paper presents a study of the efficiency of loading and storing data in the three most common Data Lakehouse systems, including Apache Hudi, Apache Iceberg, and Delta Lake, using Apache Spark as a…

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Computer Science Preprint PDF DOI

"If We Had the Information That We Need to Interpret the World Around Us, We Wouldn't Be Disabled:" Barriers and Opportunities in Information Work among Blind and Sighted Colleagues

Yichun Zhao, Miguel A. Nacenta, Mahadeo A. Sukhai, Sowmya Somanath · 2026

Despite recognition of the value of diversity, the way work takes place can fail to support blind or low-vision employees, especially in collaborative work settings. This paper examines how profession…

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Mathematics Preprint PDF DOI

$LDL^\top$ Factorization-based Generalized Low-rank ADI Algorithm for Solving Large-scale Algebraic Riccati Equations

Umair Zulfiqar · 2026

The low-rank alternating direction implicit (ADI) method is an efficient and effective solver for large-scale standard continuous-time algebraic Riccati equations that admit low-rank solutions. Howeve…

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Engineering Preprint PDF DOI

HAD: Combining Hierarchical Diffusion with Metric-Decoupled RL for End-to-End Driving

Wenhao Yao, Xinglong Sun, Zhenxin Li, Shiyi Lan, Zi Wang, Jose M. Alvarez, Zuxuan Wu · 2026

End-to-end planning has emerged as a dominant paradigm for autonomous driving, where recent models often adopt a scoring-selection framework to choose trajectories from a large set of candidates, with…

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Engineering Preprint PDF DOI

DOA Estimation for Low-Altitude Networks: HAD Architectures, Methods, and Challenges

Ye Tian, Tuo Wu, Jintao Wu, He Xu, Yuanjun Shen, Xianfu Lei, Kin-Fai Tong · 2026

With the rapid expansion of low-altitude economy (LAE) services and the growing demand for integrated sensing and communication (ISAC) in air-ground networks, reliable direction-of-arrival (DOA) estim…

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AI & Data Science Preprint PDF DOI

HAD: Heterogeneity-Aware Distillation for Lifelong Heterogeneous Learning

Xuerui Zhang, Xuehao Wang, Zhan Zhuang, Linglan Zhao, Ziyue Li, Xinmin Zhang, Zhihuan Song, Yu Zhang · 2026

Lifelong learning aims to preserve knowledge acquired from previous tasks while incorporating knowledge from a sequence of new tasks. However, most prior work explores only streams of homogeneous task…

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Mathematics Preprint PDF DOI

Kruskal-style algorithm for cubic Schr\"odinger equation molecule reduction

Yvain Bruned, Valentin Clarisse · 2026

We are interested in the molecule reduction algorithm introduced by Deng and Hani in arXiv:2104.11204. In this article, the authors use this algorithm to establish a rigidity theorem, which plays a ce…

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AI & Data Science Preprint PDF DOI

WaDi: Weight Direction-aware Distillation for One-step Image Synthesis

Lei Wang, Yang Cheng, Senmao Li, Ge Wu, Yaxing Wang, Jian Yang · 2026

Despite the impressive performance of diffusion models such as Stable Diffusion (SD) in image generation, their slow inference limits practical deployment. Recent works accelerate inference by distill…

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AI & Data Science Preprint PDF DOI

A Detection-Gated Pipeline for Robust Glottal Area Waveform Extraction and Clinical Pathology Assessment

Harikrishnan Unnikrishnan · 2026

Background: Accurate glottal segmentation in high-speed videoendoscopy (HSV) is essential for extracting kinematic biomarkers of laryngeal function. However, existing deep learning models often produc…

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Computer Science Preprint PDF DOI

Global Rotation Equivariant Phase Modeling for Speech Enhancement with Deep Magnitude-Phase Interaction

Chengzhong Wang, Andong Li, Dingding Yao, Junfeng Li · 2026

While deep learning has advanced speech enhancement (SE), effective phase modeling remains challenging, as conventional networks typically operate within a flat Euclidean feature space, which is not e…

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Mathematics Preprint PDF DOI

Derivation of the Boltzmann equation from hard-sphere dynamics (after Y. Deng, Z. Hani, and X. Ma)

Thierry Bodineau, Isabelle Gallagher, Laure Saint-Raymond, Sergio Simonella · 2026

Consider a microscopic system of $N$ hard spheres that are initially independent (modulo the exclusion condition on particle positions) and identically distributed in $\mathbb{R}^3$. When the number $…

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AI & Data Science Preprint PDF DOI

DMS2F-HAD: A Dual-branch Mamba-based Spatial-Spectral Fusion Network for Hyperspectral Anomaly Detection

Aayushma Pant, Lakpa Tamang, Tsz-Kwan Lee, Sunil Aryal · 2026

Hyperspectral anomaly detection (HAD) aims to identify rare and irregular targets in high-dimensional hyperspectral images (HSIs), which are often noisy and unlabelled data. Existing deep learning met…

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AI & Data Science Preprint PDF DOI

Beyond Mode Elicitation: Diversity-Preserving Reinforcement Learning via Latent Diffusion Reasoner

Haoqiang Kang, Yizhe Zhang, Nikki Lijing Kuang, Yi-An Ma, Lianhui Qin · 2026

Recent reinforcement learning (RL) methods improve LLM reasoning by optimizing discrete Chain-of-Thought (CoT) generation; however, exploration in token space often suffers from diversity collapse as …

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AI & Data Science Preprint PDF DOI

SUSD: Structured Unsupervised Skill Discovery through State Factorization

Seyed Mohammad Hadi Hosseini, Mahdieh Soleymani Baghshah · 2026

Unsupervised Skill Discovery (USD) aims to autonomously learn a diverse set of skills without relying on extrinsic rewards. One of the most common USD approaches is to maximize the Mutual Information …

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Physics Preprint PDF DOI

Machine learning for understanding pulsating stars I: the non-linear phenomenon in {\delta} Scuti stars

J.R. Rodon, J. Pascual-Granado, M. Lares-Martiz, M. Rodriguez Sanchez, C. Roche · 2026

$\delta$ Scuti stars are pulsating variable stars that exhibit both radial and non-radial pulsations, making them key objects for understanding stellar evolution and internal structures. The current c…

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Physics Preprint PDF DOI

BE Lyncis is not a Black Hole Binary: Lessons From Gaia and Hipparcos Astrometry

Pranav Nagarajan, Kareem El-Badry, Thomas J. Maccarone, Giuliano Iorio, Sara Rastello, Johanna Muller-Horn · 2026

BE Lyncis (BE Lyn) is a well-studied high-amplitude $\delta$ Scuti variable star (HADS). Recently, Niu et al. (2026) analyzed a 39-year baseline of times of maximum light of BE Lyn, reporting that it …

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AI & Data Science Preprint PDF DOI

From Consistency to Complementarity: Aligned and Disentangled Multi-modal Learning for Time Series Understanding and Reasoning

Hang Ni, Weijia Zhang, Fei Wang, Zezhi Shao, Hao Liu · 2026

Advances in multi-modal large language models (MLLMs) have inspired time series understanding and reasoning tasks, that enable natural language querying over time series, producing textual analyses of…

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