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Mathematics Preprint PDF DOI

Fillable structures on negative-definite Seifert fibred spaces

Alberto Cavallo, Irena Matkovic · 2026

We classify fillable contact structures on all negative-definite star-shaped plumbings. Along the way, we show that such Seifert fibred spaces admit a unique negative maximal twisting number, and comp…

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Mathematics Preprint PDF DOI

Heegaard Floer homology and maximal twisting numbers

Alberto Cavallo, Irena Matkovic · 2026

We adapt the Ozsv\'ath-Szab\'o full path algorithm to every star-shaped graph and establish a correspondence between negative-twisting tight contact structures on any Seifert fibred space over $S^2$, …

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Physics Preprint PDF DOI

VBr >10 kV E-Beam/Sputtered Vertical NiOx/(011) \beta-Ga2O3 HJDs with PFOM >2.3 GW/cm2

Yizheng Liu, Carl Peterson, Chinmoy Nath Saha, Marko J. Tadjer, Sriram Krishnamoorthy · 2026

Beta-gallium oxide (\beta-Ga2O3) holds enormous potential for medium voltage range power electronic applications. This work reports VBr > 10 kV/Ron,sp = 43 m\Omega*cm2 class edge terminated vertical h…

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Physics Preprint PDF DOI

Operating a contextual Stern-Gerlach apparatus

Th. K. Mavrogordatos · 2026

We propose a contextual cavity/circuit QED analogue and extension of the Stern-Gerlach experiment, where the pseudo-spin of a two-state `atomic' transition plays the role of the ``spin'', while the re…

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Engineering Preprint PDF DOI

Deep Learning-Enabled Dissolved Oxygen Sensing in Biofouling Environments for Ocean Monitoring

Nikolaos Salaris, Adrien Desjardins, Manish K. Tiwari · 2026

The escalating climate crisis and ecosystem degradation demand intelligent, low-cost sensors capable of robust, long-term monitoring in real-world environments. Absolute dissolved oxygen (DO) concentr…

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AI & Data Science Preprint PDF DOI

Focus on What Matters: Two-Stage ROI-Aware Refinement for Anatomy-Preserving Fetal Ultrasound Reconstruction

Ines Abbes, Mahmood Alzubaidi, Mowafa Househ, Khalid Alyafei, Marco Agus, Samir Brahim Belhaouari · 2026

Measurement-critical ultrasound tasks often depend on a small anatomical region, making global reconstruction metrics an unreliable proxy for clinical fidelity. We propose an ROI-aware representation …

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Computer Science Preprint PDF DOI

Architectural Isolation as a Timing Safety Primitive for Edge AI Medical Devices: Controlled Experimental Evidence on a Shared-Silicon Platform

Akul Mallayya Swami · 2026

A system can satisfy accuracy-based validation, maintain output stability (Safety-Threshold Exceedance Rate, STER, equal to zero), and still violate timing constraints under deployment load. These are…

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Mathematics Preprint PDF DOI

Laplace Transform driven Stein-type Goodness-of-fit Tests for Pareto Distribution

Deepesh Bhati, Sakshi Khandelwal · 2026

The Pareto distribution plays a crucial role in various disciplines, necessitating robust goodness-of-fit tests for its validation. This article introduces a novel tests based on Stein's characterizat…

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Engineering Preprint PDF DOI

Energy-Efficient Multi-Robot Coverage Path Planning of Non-Convex Regions of Interests

Sourav Raxit, Jose Fuentes, Paulo Padrao, Abdullah Al Redwan Newaz, Md Tamjidul Hoque, Mark Kulp, Leonardo Bobadilla · 2026

This letter presents an energy-efficient multi-robot coverage path planning (MRCPP) framework for large, nonconvex Regions of Interest (ROI) containing obstacles and no-fly zones (NFZ). Existing minim…

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Engineering Preprint PDF DOI

Sampling-Based Safety Filter with Probabilistic Restrictiveness Guarantee

Junyoung Park, Hyeontae Sung, Heejin Ahn · 2026

Ensuring safety is a critical requirement for autonomous systems, yet providing formal guarantees for nominal controllers remains a significant challenge. In this paper, we propose a modular sampling-…

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AI & Data Science Preprint PDF DOI

Data Integration for Estimating Subgroup-Specific Conditional Average Treatment Effects (CATEs) Using Coarsened External Information in Randomized Trials

Youqi Yang, Walter Dempsey, Bhramar Mukherjee · 2026

Randomized controlled trials (RCTs) are often underpowered to detect treatment heterogeneity in subgroups defined by cross-classifications of multiple covariates, due to sparse sample sizes in some st…

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Physics Preprint PDF DOI

Quantum Correlations in Classical Systems

Ghenadie N. Mardari · 2026

A classical fluid splitter produces the same patterns of energy redistribution as a Stern-Gerlach quantum device, with rotationally invariant coefficients of correlation between molecular paths. Alter…

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Mathematics Preprint PDF DOI

Phase Transitions in the Fluctuations of Functionals of Random Neural Networks

Simmaco Di Lillo, Leonardo Maini, Domenico Marinucci · 2026

We establish central and non-central limit theorems for sequences of functionals of the Gaussian output of an infinitely-wide random neural network on the d-dimensional sphere . We show that the asymp…

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Mathematics Preprint PDF DOI

Reinhardt domains determined by their endomorphisms

Rafael B. Andrist, W{l}odzimierz Zwonek · 2026

We show that pseudoconvex Reinhardt domains in dimension two with isomorphic semigroups of holomorphic endomorphisms are biholomorphically or anti-biholomorphically equivalent. Moreover, we show that …

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AI & Data Science Preprint PDF DOI

Are Large Language Models Economically Viable for Industry Deployment?

Abdullah Mohammad, Sushant Kumar Ray, Pushkar Arora, Rafiq Ali, Ebad Shabbir, Gautam Siddharth Kashyap, Jiechao Gao, Usman Naseem · 2026

Generative AI-powered by Large Language Models (LLMs)-is increasingly deployed in industry across healthcare decision support, financial analytics, enterprise retrieval, and conversational automation,…

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Computer Science Preprint PDF DOI

From Particles to Perils: SVGD-Based Hazardous Scenario Generation for Autonomous Driving Systems Testing

Linfeng Liang, Xiao Cheng, Tsong Yueh Chen, Xi Zheng · 2026

Simulation-based testing of autonomous driving systems (ADS) must uncover realistic and diverse failures in dense, heterogeneous traffic. However, existing search-based seeding methods (e.g., genetic …

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AI & Data Science Preprint PDF DOI

Forecasting Ionospheric Irregularities on GNSS Lines of Sight Using Dynamic Graphs with Ephemeris Conditioning

Mert Can Turkmen, Eng Leong Tan, Yee Hui Lee · 2026

Most data-driven ionospheric forecasting models operate on gridded products, which do not preserve the time-varying sampling structure of satellite-based sensing. We instead model the ionosphere as a …

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AI & Data Science Preprint PDF DOI

Region-Grounded Report Generation for 3D Medical Imaging: A Fine-Grained Dataset and Graph-Enhanced Framework

Cong Huy Nguyen, Son Dinh Nguyen, Guanlin Li, Tuan Dung Nguyen, Aditya Narayan Sankaran, Mai Huy Thong, Thanh Trung Nguyen, Mai Hong Son, Reza Farahbakhsh, Phi Le Nguyen, Noel Crespi · 2026

Automated medical report generation for 3D PET/CT imaging is fundamentally challenged by the high-dimensional nature of volumetric data and a critical scarcity of annotated datasets, particularly for …

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AI & Data Science Preprint PDF DOI

CAM3DNet: Comprehensively mining the multi-scale features for 3D Object Detection with Multi-View Cameras

Mingxi Pang, Dingheng Wang, Zekun Li, Zhenping Sun, Bo Wang, Zhihang Wang, Zhao-Xu Yang · 2026

Query-based 3D object detection methods using multi-view images often struggle to efficiently leverage dynamic multi-scale information, e.g., the relationship between the object features and the geome…

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AI & Data Science Preprint PDF DOI

Stein Variational Black-Box Combinatorial Optimization

Thomas Landais, Olivier Goudet, Adrien Goeffon, Frederic Saubion, Sylvain Lamprier · 2026

Combinatorial black-box optimization in high-dimensional settings demands a careful trade-off between exploiting promising regions of the search space and preserving sufficient exploration to identify…

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