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Physics Preprint PDF DOI

OAM-mode sorting with a wavefront twister

Suman Karan, Swati Chaudhary, Harshwardhan Wanare, Anand Kumar Jha · 2026

We propose an OAM sorter based on a novel optical element that we refer to as a wavefront twister. It is a generalization of the conventional wavefront rotators such as the Dove prism. However, unlike…

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AI & Data Science Preprint PDF DOI

Robust Lightweight Crack Classification for Real-Time UAV Bridge Inspection

Wei Li, Haisheng Li, Weijie Li, Jiandong Wang, Kaichen Ma, Luming Yang · 2026

With the widespread application of Unmanned Aerial Vehicles (UAVs) in bridge structural health monitoring, deep learning-based automatic crack detection has become a major research focus. However, pra…

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Physics Preprint PDF DOI

Generalized Optical Theorem for Structured Neutron Beams and Consequences for Forward-Transmission Null Tests of Time-Reversal Invariance

Sepehr Samiei · 2026

The simple form of the optical theorem of scattering theory, $\sigma_{\rm tot}^{\rm pw} = (4\pi/k)\,\Im f(0)$, is valid for an incident plane wave or for a wave packet whose Fourier components possess…

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AI & Data Science Preprint PDF DOI

MiniCPM-o 4.5: Towards Real-Time Full-Duplex Omni-Modal Interaction

Junbo Cui, Bokai Xu, Chongyi Wang, Tianyu Yu, Weiyue Sun, Yingjing Xu, Tianran Wang, Zhihui He, Wenshuo Ma, Tianchi Cai, Jiancheng Gui, Luoyuan Zhang, Xian Sun, Fuwei Huang, Moye Chen, Zhuo Lin, Hanyu Liu, Qingxin Gui, Qingzhe Han, Yuyang Wen, Huiping Liu, Rongkang Wang, Yaqi Zhang, Hongliang Wei, Chi Chen, You Li, Kechen Fang, Jie Zhou, Yuxuan Li, Guoyang Zeng, Chaojun Xiao, Yankai Lin, Xu Han, Maosong Sun, Zhiyuan Liu, Yuan Yao · 2026

Recent progress in multimodal large language models (MLLMs) has brought AI capabilities from static offline data processing to real-time streaming interaction, yet they still remain far from human-lev…

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AI & Data Science Preprint PDF DOI

JI-ADF: Joint-Individual Learning with Adaptive Decision Fusion for Multimodal Skin Lesion Classification

Phan Nguyen, Dat Cao, Quang Hien Kha, Hien Chu, Minh H. N. Le, Trang Quoc Thao Pham, Nguyen Quoc Khanh Le · 2026

Skin lesion classification is essential for early dermatological diagnosis, yet many existing computer-aided systems rely primarily on dermoscopic images and underutilize the multimodal evidence routi…

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Physics Preprint PDF DOI

Unmasking Hidden Wigner's Symmetry from First Principles

Phong Dang, Daniel Langr, Tomas Dytrych, Jerry P. Draayer, David Kekejian · 2026

We present quantitative evidence that high-quality internucleon forces derived from $\chi$EFT exhibit a striking dominance of Wigner's supermultiplet symmetry, without invoking the large-$N_c$ limit o…

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AI & Data Science Preprint PDF DOI

Lightweight Distillation of SAM 3 and DINOv3 for Edge-Deployable Individual-Level Livestock Monitoring and Longitudinal Visual Analytics

Haiyu Yang, Miel Hostens · 2026

Foundation-model pipelines for individual-level livestock monitoring -- combining open-vocabulary detection, promptable video segmentation, and self-supervised visual embeddings -- have raised the acc…

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AI & Data Science Preprint PDF DOI

Bridge: Basis-Driven Causal Inference Marries VFMs for Domain Generalization

Mingbo Hong, Feng Liu, Caroline Gevaert, George Vosselman, Hao Cheng · 2026

Detectors often suffer from degraded performance, primarily due to the distributional gap between the source and target domains. This issue is especially evident in single-source domains with limited …

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AI & Data Science Preprint PDF DOI

MemOVCD: Training-Free Open-Vocabulary Change Detection via Cross-Temporal Memory Reasoning and Global-Local Adaptive Rectification

Zuzheng Kuang, Honghao Chang, Boqiang Liang, Haoqian Wang, Lijun He, Fan Li, Haixia Bi · 2026

Open-vocabulary change detection aims to identify semantic changes in bi-temporal remote sensing images without predefined categories. Recent methods combine foundation models such as SAM, DINO and CL…

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Engineering Preprint PDF DOI

FeatureFox: Sample-Efficient Panoptic Graph Segmentation for Machining Feature Recognition in B-Rep 3D-CAD Models

Bertram Fuchs, Altay Kacan, Aaron Haag, Oliver Lohse · 2026

Automatic feature recognition (AFR) on B-Rep 3D-CAD models is central to CAD/CAM automation, yet most learning-based methods are complex, data-hungry, and evaluate instance grouping and semantic label…

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Physics Preprint PDF DOI

Non-Equilibrium Orbital Transport in Terahertz Optorbitronics

Sobhan Subhra Mishra, Ranjan Singh · 2026

Modern information technologies rely on controlling the flow of electrons through their charge and spin. A rapidly emerging alternative is to use the orbital motion of electrons, the way they circulat…

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Chemistry Preprint PDF DOI

Physics-based modeling of cyclic and calendar aging of LIBs with Si-Gr composite anodes

Micha C. J. Philipp, Lukas Kobbing, Alexander Karger, Andreas Jossen, Arnulf Latz, Birger Horstmann · 2026

Higher energy density and longer lifetime are the requirements for next-generation lithium-ion batteries. A promising anode material is silicon, which offers high specific capacity, but its significan…

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Mathematics Preprint PDF DOI

MacNeille completions of parabolic quotients

Yibo Gao, Hanlin Xu · 2026

Alternating sign matrices (ASMs) arise as the Dedekind-MacNeille completion of the Bruhat order on the symmetric group. They enjoy fruitful combinatorial and geometric properties, with a particularly …

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Computer Science Preprint PDF DOI

Towards a Frugal Photosynthesis Sensing Toolkit for Data-Driven Plant Science Education and Exploration

Qitong Li, Raj Nileshbhai Dave, Rhema Amanda Phiri, Leo Zhang, Xiaoyu Zheng, Ariana Blake, Livia Ford, Sarah Jones, Susan R. Strickler, Nivedita Arora · 2026

Rapid environmental change and advances in data-driven analysis highlight the need not only to use computational tools, but also to foster understanding of the natural world and inspire creativity. Ph…

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AI & Data Science Preprint PDF DOI

Compositional Meta-Learning for Mitigating Task Heterogeneity in Physics-Informed Neural Networks

Beomchul Park, Minsu Koh, Heejo Kong, Seong-Whan Lee · 2026

Physics-informed neural networks (PINNs) approximate solutions of partial differential equations (PDEs) by embedding physical laws into the loss function. In parameterized PDE families, variations in …

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AI & Data Science Preprint PDF DOI

Extending Evidence Accumulation Models to Bounded Continuous Self-report Data

Yufei Wu, Tamas Szucs, Agnes Moors, Francis Tuerlinckx · 2026

Evidence accumulation models (EAMs) provide a powerful framework for inferring latent cognitive processes from choice and reaction time data. While EAMs are traditionally limited to binary choices, re…

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AI & Data Science Preprint PDF DOI

Generalized Disguise Makeup Presentation Attack Detection Using an Attention-Guided Patch-Based Framework

Fateme Taraghi, Atefe Aghaei, Mohsen Ebrahimi Moghaddam · 2026

Despite significant advances in facial recognition systems, they remain vulnerable to face presentation attacks. Among them, disguise makeup attacks are particularly challenging, as they use advanced …

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AI & Data Science Preprint PDF DOI

Robust Deepfake Detection: Mitigating Spatial Attention Drift via Calibrated Complementary Ensembles

Minh-Khoa Le-Phan, Minh-Hoang Le, Trong-Le Do, Minh-Triet Tran · 2026

Current deepfake detection models achieve state-of-the-art performance on pristine academic datasets but suffer severe spatial attention drift under real-world compound degradations, such as blurring …

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AI & Data Science Preprint PDF DOI

Action-Aware Generative Sequence Modeling for Short Video Recommendation

Wenhao Li, Zihan Lin, Zhengxiao Guo, Jie Zhou, Shukai Liu, Yongqi Liu, Chuan Luo, Chaoyi Ma, Ruiming Tang, Han Li · 2026

With the rapid development of the Internet, users have increasingly higher expectations for the recommendation accuracy of online content consumption platforms. However, short videos often contain div…

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Engineering Preprint PDF DOI

Robustness Evaluation of a Foundation Segmentation Model Under Simulated Domain Shifts in Abdominal CT: Implications for Health Digital Twin Deployment

Sanghati Basu · 2026

Foundation segmentation models such as the Segment Anything Model (SAM) have demonstrated strong generalization across natural images; however, their robustness under clinically realistic medical imag…

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