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3D Reconstruction by Looking: Instantaneous Blind Spot Detector for Indoor SLAM through Mixed Reality

Indoor SLAM often suffers from issues such as scene drifting, double walls, and blind spots, particularly in confined spaces with objects close to the sensors (e.g. LiDAR and cameras) in reconstructio...

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The article offers a novel approach to addressing significant challenges in indoor SLAM, particularly the detection of blind spots and reconstruction errors. The integration of Mixed Reality with LiDAR and RGB sensor fusion presents a promising development that may enhance the accuracy and efficiency of 3D reconstruction tasks. The reported performance metrics further bolster the system's reliability. However, the impact of the method may depend on broader empirical validation in diverse real-world scenarios.

Near-Optimal Time-Sparsity Trade-Offs for Solving Noisy Linear Equations

We present a polynomial-time reduction from solving noisy linear equations over $\mathbb{Z}/q\mathbb{Z}$ in dimension $Θ(k\log n/\mathsf{poly}(\log k,\log q,\log\log n))$ with a unifor...

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The paper presents significant advancements in the understanding of noisy linear equations and their complexity, particularly through novel polynomial-time reductions. This contributes to both theoretical computer science and mathematical foundations of cryptography, and the implications for hardness results can lead to new approaches in tackling sparse problems. The methodological rigor is strong, and the results are positioned to inspire further research in algorithms related to sparse and dense problem formulations.

A Calderón Problem for Beltrami Fields

On a $3$ -dimensional Riemannian manifold with boundary, we define an analogue of the Dirichlet-to-Neumann map for Beltrami fields, which are the eigenvectors of the curl operator and play a ma...

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The paper explores a novel approach to understanding Beltrami fields via a new mapping, which adds significant value to the mathematical framework used in fluid mechanics and geometric analysis. The methodological rigor shown in establishing results about the pseudodifferential operator and the reconstruction of simple connected manifolds highlights its applicability. Furthermore, the connection made with physical interpretations enhances its interdisciplinary impact.

PR-ENDO: Physically Based Relightable Gaussian Splatting for Endoscopy

Endoscopic procedures are crucial for colorectal cancer diagnosis, and three-dimensional reconstruction of the environment for real-time novel-view synthesis can significantly enhance diagnosis. We pr...

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PR-ENDO presents a novel approach combining 3D Gaussian Splatting with a physically based relighting model specifically designed for endoscopic imaging. The methodological rigor, especially the introduction of a specialized MLP for light and tissue interactions, showcases significant advancements in overcoming existing challenges in endoscopic procedures. This innovative solution not only enhances the diagnosis of colorectal cancer but also presents potential implications for real-time applications in clinical settings, thus indicating a strong practical utility.

During and after COVID-19: What happened to the home advantage in Germany's first football division?

It is well-established that the home advantage (HA), the phenomenon that on average the local team performs better than the visiting team, exists in many sports. In response to the COVID-19 outbreak, ...

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This article employs a natural experiment to explore the effects of spectator presence on home advantage in football, a topic of significant interest in sports science and sociology. Its analysis spans multiple seasons and offers insights into psychological and performance adaptations of teams in response to external conditions, showcasing methodological rigor and a novel contribution to the understanding of home advantage in sports dynamics. This research could influence strategies in sports management, psychology, and coaching.

Probe-Me-Not: Protecting Pre-trained Encoders from Malicious Probing

Adapting pre-trained deep learning models to customized tasks has become a popular choice for developers to cope with limited computational resources and data volume. More specifically, probing--train...

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The article presents a novel approach (EncoderLock) addressing a critical issue of misuse in AI through an innovative methodology that balances utility with safety. Its practical implications in real-world scenarios, particularly concerning ethical considerations, are significant. The rigor in testing against a practical deep learning model adds to its impact.

Fifty Years After the Discovery of the First Stellar-Mass Black Hole: A Review of Cyg X-1

Around 50 years ago, the famous bet between Stephen Hawking and Kip Thorne on whether Cyg X-1 hosts a stellar-mass black hole became a well-known story in the history of black hole science. Today, Cyg...

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The article presents a thorough review of Cyg X-1, integrating historical context with modern observational data. Its focus on implications for various astrophysical phenomena, such as black hole spin and accretion processes, suggests strong applicability to ongoing and future research in black hole physics and stellar evolution. The methodological rigor in collating and interpreting extensive observational data enhances its relevance, although it could benefit from new experimental insights or novel theoretical predictions.

The synchronization of convective lifecycles in an idealized microscopic model

How a cloud ensemble responds to external forcing is a puzzle in tropical convection research. Convectively coupled gravity waves (CCGWs) in a finite domain have controllable wavelengths, providing a ...

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This study presents a novel approach to understanding the synchronization of convective lifecycles in tropical convection through a microscale modeling framework. The methodological rigor and multiscale analysis contribute to its impact. The insights gained regarding the coupling of convective processes with gravity waves could enhance predictive capabilities in tropical meteorology, though further validation may be needed in more complex systems.

On a modified Cahn-Hilliard-Brinkman model with chemotaxis and nonlinear sensitivity

We consider an evolutionary PDE system coupling the Cahn-Hilliard equation with singular potential, mass source and transport effects, to a Brinkman-type relation for the macroscopic velocity field an...

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This article introduces a modified Cahn-Hilliard model that combines phase separation with chemotaxis effects, which is novel and relevant for understanding tumor growth dynamics. The methodology, particularly the focus on nonlinear sensitivity and weak solutions, showcases rigor. The application to tumor modeling highlights the potential impact on cancer research and therapies, making the findings exceptionally useful for future interdisciplinary explorations.

Internal shear layers generated by a vertically oscillating cylinder in unbounded and bounded rotating fluids

In previous works, we analysed the internal shear layers excited by a viscous forcing (longitudinal libration) in a spherical shell geometry (He et al., J. Fluid Mech. 939, A3, 2022; 974, A3, 2023). W...

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The article presents a detailed analysis of internal shear layers in rotating fluids, which is a novel extension of previous work. It combines theoretical modeling with analytical methods, contributing significant insights to fluid dynamics, particularly in understanding the transition between viscous and inviscid regimes. The robustness of its findings, especially regarding scaling behaviors and matching of solutions, adds considerable value to the field.

ManiSkill-ViTac 2025: Challenge on Manipulation Skill Learning With Vision and Tactile Sensing

This article introduces the ManiSkill-ViTac Challenge 2025, which focuses on learning contact-rich manipulation skills using both tactile and visual sensing. Expanding upon the 2024 challenge, ManiSki...

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This article presents a highly relevant challenge aimed at enhancing robotic manipulation skills through an innovative focus on tactile-vision integration. The novelty of combining tactile sensing with visual data processing can significantly impact robotics, pushing researchers towards developing more sophisticated manipulative capabilities. Its methodological rigor is underscored by the inclusion of standardized metrics for evaluation in both simulated and real-world environments, which adds to the robustness of the challenge.

Transformer Neural Processes -- Kernel Regression

Stochastic processes model various natural phenomena from disease transmission to stock prices, but simulating and quantifying their uncertainty can be computationally challenging. For example, modeli...

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The article presents a significant advancement in the efficiency of modeling stochastic processes using a novel architecture (TNP-KR) that directly addresses the computational challenges faced by traditional methods. By reducing the complexity of attention mechanisms in Neural Processes, it not only enhances performance but also extends applicability to larger datasets on consumer hardware, which is critical for practical applications. The robustness of the benchmarks across various tasks adds to its impact.

Intrinsic exceptional point -- a challenge in quantum theory

In spite of its unbroken ${\cal PT}-$ symmetry, the popular imaginary cubic oscillator Hamiltonian $H^{(IC)}=p^2+{\rm i}x^3$ does not satisfy all of the necessary postulates of quantum ...

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This article addresses a complex and nuanced aspect of quantum theory involving exceptional points, which is a burgeoning area of research. The focus on intrinsic exceptional points (IEPs) presents novel insights into the limitations of standard quantum mechanics, highlighting the unphysical nature of certain Hamiltonians. The methodological rigor in employing perturbation theory and analogies with established concepts like Kato's exceptional points strengthens its contributions. This work could inspire further research into alternative quantum systems and enhance understanding of symmetries in quantum mechanics.

New insight into the orbital parameters of the gamma-ray binary HESS J0632+057

The gamma-ray binary HESS J0632+057 consists of a Be star and an undetected compact object in a $\sim$ 317 day orbit. The interpretation of the emission from this system is complicated by the l...

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This article presents significant advancements in understanding the orbital parameters of the gamma-ray binary HESS J0632+057, particularly by combining new observations with archival data to derive updated orbital solutions. The methodology appears rigorous, employing state-of-the-art techniques and addressing previously unresolved inconsistencies in the literature. The findings have potential implications for both theoretical models of binary interactions and observations of gamma-ray binaries. However, the necessity for further observations to refine the results suggests there is still work to be done in this area.

Enhancing Reasoning Capabilities of LLMs via Principled Synthetic Logic Corpus

Large language models (LLMs) are capable of solving a wide range of tasks, yet they have struggled with reasoning. To address this, we propose $\textbf{Additional Logic Training (ALT)}$ , which...

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This article presents a novel approach to enhancing the reasoning capabilities of LLMs, a significant challenge in the field of natural language processing. The introduction of a principled method for synthetic logic training and the creation of a dedicated corpus provides strong methodological rigor. The empirical results demonstrate substantial improvements across multiple benchmarks, indicating substantial applicability and potential for future research to build on these findings.

Phase transition from Weyl to knotted semimetal using bi-circular laser

The Fermi surface topology of a triple non-hermitian (NH) Weyl semimetal (WSM) driven by bi-circularly polarized light is presented in this study. A NH WSM in particular has remarkable outlines. Bi-ci...

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The article presents a novel exploration of phase transitions between Weyl and knotted semimetals using bi-circular laser light, a topic that has not been previously discussed. The integration of non-hermitian physics in the context of laser fields provides a fresh perspective in the field of topological materials. The methodological rigor in studying the changes in Fermi surfaces and Berry curvature highlights its potential to guide future research and applications, particularly in quantum materials and photonic technologies.

Phase transition analogues in laser collisions with a dark-field setup

Laser pulse collisions are a promising tool for the investigation of light-by-light scattering phenomena induced by quantum vacuum fluctuations. Using the numerical code based on the vacuum emission p...

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This article introduces new insights into light-by-light scattering and phase transitions in laser pulse collisions, revealing a significant interplay between laser profiles and emission dynamics. The theoretical and numerical analysis is rigorous, representing a novel approach in exploring quantum vacuum fluctuations. Its practicality and implications for future experiments add to its relevance.

On some geometric interpretations of fractional-order operators

This discussion paper presents some parts of the work in progress. It is shown that G.W. Leibniz was the first who raised the question about geometric interpretation of fractional-order operators. Geo...

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The article demonstrates novelty by introducing geometric interpretations of fractional-order operators and derivative concepts that have historical roots, particularly connecting them to foundational figures like Leibniz. The methodological approach seems interesting and could inspire further discourse in fractional calculus. However, as it's a discussion of ongoing work, the completeness of the findings may limit immediate impact.

Recent advances in space sailing missions and technology: review of the 6th International Symposium on Space Sailing (ISSS 2023)

The 6th International Symposium on Space Sailing (ISSS 2023) took place on June 5-9, 2023 at the New York City College of Technology, the City University of New York. Since its inauguration in Herrsch...

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The review of the ISSS 2023 provides a comprehensive overview of advancements in space sailing, an innovative domain with significant implications for future space missions. The article captures detailed discussions on new concepts, technologies, and results presented at an international forum, which enhances its relevance. Its synthesis of diverse research activities can influence future project designs in space exploration.

The Challenges of Modeling Astrophysical Reacting Flows

Stellar evolution is driven by the changing composition of a star from nuclear reactions. At the late stages of evolution and during explosive events, the timescale can be short and drive strong hydro...

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This article addresses a significant challenge in the field of astrophysics, particularly in the modeling of high-energy stellar events. The exploration of standard approaches and their limitations indicates a critical evaluation of existing methodologies, which is essential for advancing the field. The proposed improvements in efficiency and accuracy could significantly enhance simulation fidelity, making this research both novel and methodologically rigorous.