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Thesis Tide

Thesis Tide ranks papers based on their relevance to the fields, with the goal of making it easier to find the most relevant papers. It uses AI to analyze the content of papers and rank them!

Rough kernel hedging

Building on the functional-analytic framework of operator-valued kernels and un-truncated signature kernels, we propose a scalable, provably convergent signature-based algorithm for a broad class of h...

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The article presents a novel algorithm that expands the theoretical foundations of hedging strategies within financial markets, using advanced operator-valued kernels and rough path theory. Its minimal assumptions about market dynamics and the incorporation of machine learning practices suggest significant applicability in challenging high-dimensional hedging scenarios. The establishment of theoretical guarantees and its scalability further reinforces its potential for practical implementation, although real-world validation remains to be demonstrated.

Incorporating Quantum Advantage in Quantum Circuit Generation through Genetic Programming

Designing efficient quantum circuits that leverage quantum advantage compared to classical computing has become increasingly critical. Genetic algorithms have shown potential in generating such circui...

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The article presents a novel application of genetic programming in quantum circuit generation, addressing a significant gap in integrating quantum advantage into fitness functions. The methodological rigor is evident in the evaluation of two distinct approaches and their performance against established quantum problems. This research holds potential high impact due to its direct relevance to optimizing quantum computing, which is a timely topic in computer science and engineering.

Annealing-Induced Magnetic Modulation in Co- and Y-doped CeO2: Insights from Experiments and DFT

The potential applications of dilute magnetic oxides (DMOs) in magneto-optic and spintronic devices have attracted significant attention, although understanding their magnetic behavior is complex due ...

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The article presents a significant advancement in the understanding of dilute magnetic oxides (DMOs) by integrating both experimental and theoretical approaches. The investigation of annealing conditions and their impact on magnetic properties via detailed characterizations and first-principles calculations demonstrates a robust methodological framework. The findings on above-room-temperature ferromagnetism and the mechanisms behind it are novel and potentially transformative for future applications in spintronics and related fields.

CoNav Chair: Design of a ROS-based Smart Wheelchair for Shared Control Navigation in the Built Environment

With the number of people with disabilities (PWD) increasing worldwide each year, the demand for mobility support to enable independent living and social integration is also growing. Wheelchairs commo...

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The article presents a novel approach to enhancing wheelchair navigation through a shared control system, addressing a significant gap in assistive technology for persons with disabilities. The incorporation of the ROS framework increases its applicability in real-world scenarios and promotes interdisciplinary collaboration. The paper includes experimental results, indicating methodological rigor that strengthens its impact and relevance.

Ill-Posedness of the Incompressible Euler--Maxwell Equations in the Yudovich Class

It was shown recently by Arsénio and the author that the two-dimensional incompressible Euler--Maxwell system is globally well-posed in the Yudovich class, provided that the electromagnetic field enjo...

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This study addresses a critical aspect of the incompressible Euler-Maxwell equations, revealing their ill-posedness under specific conditions. The methodological rigor demonstrated in the proofs and the groundbreaking determination of the sharpness of assumptions make this research highly valuable. However, while the results are significant, the niche focus may limit broader applicability beyond specialized areas.

Extending the rotational spectrum of cyclopentadiene towards higher frequencies and vibrational states

Cyclopentadiene (c-C5H6) is a cyclic pure hydrocarbon that was already detected astronomically towards the prototypical dark cloud TMC-1 (Cernicharo et al. 2021, Astron. Astrophys. 649, L15). However,...

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This article provides significant advancements in the understanding of cyclopentadiene's rotational spectrum by extending its measurement to higher frequencies and incorporating vibrational state data. The rigorous methodological approach and the increase in measured parameters enhance the accuracy of predictions, making the findings highly relevant for astrophysical research. Moreover, the identification of Coriolis interactions represents a novel contribution that could influence future spectroscopy studies.

Ill-posedness of the pure-noise Dean-Kawasaki equation

We prove that the Dean-Kawasaki-type stochastic partial differential equation \partial ρ= \nabla\cdot (\sqrt{ρ\,}\, ξ) + \nabla\cdot \left(ρ\, H(ρ)\right) with vector-valued space-...

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The article presents a significant advance in understanding the conditions under which solutions to a specific stochastic partial differential equation exist, specifically emphasizing ill-posedness in the context of a pure-noise scenario. This work provides clarity on the limitations of the Dean-Kawasaki equations, which have implications in statistical physics and stochastic processes. The methodological rigor and the sharpness of the results enhance its potential for grounding future research, although the specialty nature of the topic may limit its broader applicability.

Finite-time Unruh effect: Waiting for the transient effects to fade off

We investigate the transition probability rate of a Unruh-DeWitt (UD) detector interacting with massless scalar field for a finite duration of proper time, TT, of the detector. For a UD detec...

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The article presents novel contributions to the understanding of the Unruh effect by examining finite-duration interactions, distinguishing between thermal and non-thermal contributions. This specificity adds depth to existing theoretical frameworks and could guide experimental design in future studies. The methodological rigor is evident in the use of precise parameters to quantify effects, which can serve as a foundation for subsequent explorations in related fields.

Weak electronic correlations in the cobalt oxychalcogenide superconductor Na2CoSe2O

Motivated by the newly discovered Co-based superconductor Na2CoSe2O, we performed systematic calculations of its electronic band structures using the density functional theory (DFT) plus the dynamical...

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The article provides significant insights into the electronic structure of Na2CoSe2O, challenging previously held assumptions about its superconducting properties. The use of advanced computational methods (DFT and DMFT) showcases methodological rigor, and the findings could reshape understanding of electronic correlations in similar systems. Its implications for superconductivity research is noteworthy, particularly regarding the relationship between electronic correlations and pairing mechanisms.

Authenticated Delegation and Authorized AI Agents

The rapid deployment of autonomous AI agents creates urgent challenges around authorization, accountability, and access control in digital spaces. New standards are needed to know whom AI agents act o...

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This article addresses a critical and timely challenge of autonomy in AI agents by proposing a novel framework for authenticated delegation that enhances security and accountability. The focus on extending existing access management protocols while integrating natural language permissions significantly contributes to the advancement of operationalizing AI in a secure manner. The methodology appears rigorous, though the real-world implementation and case studies would provide additional validation.

Relativistic electron energy-loss spectroscopy in cylindrical waveguides and holes

Swift electrons passing near or through metallic structures have proven to be an excellent tool for studying plasmons and other types of confined optical modes involving collective charge oscillations...

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The article presents a novel analytical framework for simulating EELS in cylindrical systems, which is a significant advancement over existing methodologies that primarily focus on parallel trajectories. This novel approach, supported by rigorous numerical validation, offers practical benefits for various applications in nanophotonics and material science, indicating high applicability and potential for future research developments.

Robin: a Suite of Multi-Scale Vision-Language Models and the CHIRP Evaluation Benchmark

The proliferation of Vision-Language Models (VLMs) in the past several years calls for rigorous and comprehensive evaluation methods and benchmarks. This work analyzes existing VLM evaluation techniqu...

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The article presents a significant advancement in the field of Vision-Language Models by introducing a comprehensive suite (Robin) and a new evaluation benchmark (CHIRP). The combination of innovative model design and a focus on improving evaluation methodologies showcases novelty and methodological rigor. Its open-access approach also promotes reproducibility, which is crucial for the advancement of any scientific field. The implications for practical applications in various areas of AI further enhance its relevance.

Undulatory underwater swimming: Linking vortex dynamics, thrust, and wake structure with a biorobotic fish

Flapping-based propulsive systems rely on fluid-structure interactions to produce thrust. At intermediate and high Reynolds numbers, vortex formation and organization in the wake of such systems are c...

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The article presents a thorough experimental investigation into the relationship between vortex dynamics, thrust production, and wake structure in a robotic fish, highlighting novel findings related to the Strouhal number's influence on these parameters. The methodological rigor, use of modern techniques like Particle Image Velocimetry, and development of a geometrical model contribute to its relevance. The implications for both robotic design and biological inspiration in propulsion systems are significant, indicating potential for future applications and research in fluid dynamics and biorobotics.

A Simplification Method for Inequality Constraints in Integer Binary Encoding HOBO Formulations

This study proposes a novel method for simplifying inequality constraints in Higher-Order Binary Optimization (HOBO) formulations. The proposed method addresses challenges associated with Quadratic Un...

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The article presents a novel method that addresses significant issues in HOBO formulations, such as computational complexity and solution accuracy. Its focus on improving the integration of constraints is particularly relevant given the growing interest in quantum computing applications. The balance it strikes between theoretical development and practical implementation through numerical experiments enhances its potential impact. High applicability in both quantum and classical spheres makes it a valuable contribution to optimization research.

Relating the modular Hamiltonian to two-point functions

We consider the modular Hamiltonian associated to standard subspaces for a free scalar field in a globally hyperbolic spacetime in an arbitrary Gaussian state. We show how the modular Hamiltonian is r...

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This article addresses a significant aspect of quantum field theory (QFT) by relating the modular Hamiltonian to two-point functions, which is pivotal for understanding the structure of states in QFT. The approach taken is both novel and rigorous, linking it to established results by Casini and Huerta, thereby further validating previous findings and enhancing our understanding of Gaussian states within a globally hyperbolic spacetime. The use of the KMS condition adds methodological depth and provides a comprehensive framework for future research in QFT.

Model Predictive Path Integral Docking of Fully Actuated Surface Vessel

Autonomous docking remains one of the most challenging maneuvers in marine robotics, requiring precise control and robust perception in confined spaces. This paper presents a novel approach integratin...

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The article presents a significant advancement in autonomous docking for marine robotics through a novel integration of Model Predictive Path Integral control and real-time LiDAR detection, which addresses common challenges in the field. The use of probabilistic trajectory optimization and the multiobjective cost function enhances the practical applicability of the approach. Furthermore, the paper's rigorous validation in a realistic simulation environment adds to its credibility and potential for influencing future research on marine robotics and automation.

Unitary Expressions: A Necessary Abstraction for Extensible Quantum Programming Languages and Systems

Quantum gates are the fundamental instructions of digital quantum computers. Current programming languages, systems, and software development toolkits identify these operational gates by their titles,...

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The article presents a novel approach to quantum programming by replacing nominal gate representations with functional ones, addressing significant challenges in the current quantum computing ecosystem. The introduction of the OpenQudit system and Qudit Gate Language (QGL) is innovative and has the potential to streamline debugging, maintenance, and extensibility in quantum programming. The performance improvement of the Qudit Virtual Machine (QVM) in computing gradients further underscores its impact. The methodology appears rigorous and tackles real issues in quantum programming, adding substantial value to the field.

Evaluating the diversity of scientific discourse on twenty-one multilingual Wikipedias using citation analysis

INTRODUCTION: Wikipedia is a major source of information, particularly for medical and health content, citing over 4 million scholarly publications. However, the representation of research-based knowl...

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The study offers valuable insights into the representation and diversity of scientific knowledge across multilingual platforms, providing substantial evidence for the substantial contribution of non-English Wikipedia articles to scholarly citations. Its methodological rigor in analyzing a vast dataset strengthens its findings. Additionally, the implications for understanding how knowledge is distributed across languages and cultures can inspire further investigations in related fields, particularly concerning access to information and globalization of scientific discourse.

Design-Agnostic Distributed Timing Fault Injection Monitor With End-to-End Design Automation

Fault injection attacks induce hardware failures in circuits and exploit these faults to compromise the security of the system. It has been demonstrated that FIAs can bypass system security mechanisms...

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This article presents a novel design for a fault injection monitor that is both design-agnostic and automatically synthesizable, which is a significant step forward in addressing vulnerabilities in circuit security. The proposed technology is versatile, operating across various frequencies and conditions, indicating strong methodological rigor and wide applicability. The implications for security in hardware systems make it especially compelling.

Integrated electronic controller for dynamic self-configuration of photonic circuits

Reconfigurable photonic integrated circuits (PICs) can implement arbitrary operations and signal processing functionalities directly in the optical domain. Run-time configuration of these circuits req...

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The article presents a significant advancement in the field of photonic integrated circuits by introducing a sophisticated electronic controller that enables dynamic self-configuration. Its focus on real-time reconfiguration and adaptability makes it highly relevant, especially as the complexity of photonic circuits increases. The methodological rigor is evidenced by the detailed validation process using a 16-channel silicon photonics adaptive beam coupler. The potential for scalability and low power consumption is noteworthy, indicating a practical pathway for future implementations. Overall, the novelty and applicability to contemporary challenges in photonics contribute to a high relevance score.