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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!

Scintillation and Timing Performance of a 3at% Yttrium-Doped Barium Fluoride Crystal

We report the scintillation and timing performance of a new developed 200 * 20 mm * 20 mm large size barium fluoride crystal doped with 3at% yttrium (BaF2:Y) to enhance the application for high time r...

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The article presents a novel approach to enhancing the scintillation properties of barium fluoride crystals through yttrium doping, significantly improving timing performance, which is crucial for high resolution applications in particle detection. The methods are rigorously documented, showcasing both experimental and analytical rigor. The findings have potential implications for advancing detector technologies in high energy physics.

On-Chip Optical Switching with Epsilon-Near-Zero Metamaterials

We present a multifunctional on-chip optical device utilizing epsilon-near-zero (ENZ) metamaterials, allowing precise beam control through phase modulation. This design acts as both an all-optical swi...

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The article explores a novel application of epsilon-near-zero (ENZ) metamaterials in on-chip optical devices, showcasing advancements in beam control and multifunctionality that are crucial for integrated photonics. Its potential for scalability and compactness addresses key challenges in the field, marking it as significant for future research.

Contact 3-manifolds that admit a non-free toric action

We classify contact toric 3-manifolds up to contactomorphism, through explicit descriptions, building off of work by Lerman [Lerman03]. As an application, we classify all contact structures on 3-manif...

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This article presents a significant advancement in the classification of contact 3-manifolds, building on prior work and offering explicit descriptions which enhances methodological rigor. The novelty of characterizing contact structures in terms of toric actions and plumbing has potential implications for both theoretical understanding and practical applications in topology and geometric structures. The specificity of the study in contact topology makes it applicable and promising for future research in related areas.

Evaluating LLM Abilities to Understand Tabular Electronic Health Records: A Comprehensive Study of Patient Data Extraction and Retrieval

Electronic Health Record (EHR) tables pose unique challenges among which is the presence of hidden contextual dependencies between medical features with a high level of data dimensionality and sparsit...

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This article presents a novel investigation into using LLMs for a specific and technically challenging application in healthcare. The study is comprehensive, utilizing well-defined experimental methods, and contributes practical guidelines for future model designs, enhancing its applicability. Its focus on the complexities of EHR data, including contextual dependencies and dimensionality issues, speaks to significant gaps in current methods, further establishing its relevance and potential impact.

Adaptive Contextual Caching for Mobile Edge Large Language Model Service

Mobile edge Large Language Model (LLM) deployments face inherent constraints, such as limited computational resources and network bandwidth. Although Retrieval-Augmented Generation (RAG) mitigates som...

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The article presents a novel framework (Adaptive Contextual Caching) that effectively addresses critical issues in mobile edge deployment of Large Language Models, such as cache management and retrieval latency. The use of deep reinforcement learning for optimizing caching strategies is innovative and demonstrates methodological rigor through empirical results. The significant improvement in cache hit rates and reduction in latency emphasizes its practical applicability in real-world scenarios, indicating strong potential for future research and applications.

Heavy quark symmetry behind $b \to c$ semileptonic sum rule

Lepton flavor universality violations in semileptonic $b \to c$ transitions have garnered attention over a decade. For $R_{H_c}={\rm{BR}}(H_b\to H_c τ\barν_τ)/{\rm{BR}}(H_b\to H_c \ell\bar...

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The article provides a fresh perspective on an important issue—lepton flavor universality violations—in the context of heavy quark symmetry. The derivation of a sum rule which holds in the heavy quark limit enhances understanding without heavily relying on model-dependent physics, making it a significant addition to the existing body of knowledge. Its implications for both theoretical predictions and experimental checks are substantial, as it provides a means to reconcile discrepancies in results related to semileptonic transitions, potentially impacting our knowledge of fundamental interactions.

Non-linear Partition of Unity method

This paper introduces the Non-linear Partition of Unity Method, a novel technique integrating Radial Basis Function interpolation and Weighted Essentially Non-Oscillatory algorithms. It addresses chal...

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The innovation of integrating Radial Basis Function interpolation with Weighted Essentially Non-Oscillatory algorithms demonstrates a significant advancement in computational methods for handling discontinuities, which is a common challenge in numerical analysis. The systematic approach to dynamically adapt weights enhances its applicability and accuracy, particularly in fields requiring high precision. Thorough error analysis adds to the methodological rigor, enhancing its credibility in practical applications. The combination of established theories in a novel framework presents a strong potential for influencing future studies in numerical methods.

Testing a cellular automata construction method to obtain 9-variable cryptographic Boolean functions

We propose a method for constructing 9-variable cryptographic Boolean functions from the iterates of 5-variable cellular automata rules. We then analyze, for important cryptographic properties of 5-va...

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The article presents a novel method for constructing higher-variable cryptographic Boolean functions, directly linking cellular automata to cryptographic applications. This connection offers both theoretical insights and practical tools for cryptography, showcasing methodological rigor in its analysis of cryptographic properties. The focus on preserver properties adds depth to the research. However, the applicability may be limited to specific cryptographic contexts, slightly reducing its broader impact.

First Experiments with Neural cvc5

he cvc5 solver is today one of the strongest systems for solving first order problems with theories but also without them. In this work we equip its enumeration-based instantiation with a neural netwo...

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This article presents a novel approach by integrating neural networks with the cvc5 mathematical solver, which enhances its capability in solving first-order problems. The methodological innovation of applying a graph neural network to guide quantifier selection is significant, potentially leading to improved efficiency and efficacy in automated reasoning tasks. The experiments conducted indicate strong applicability and performance, suggesting this could spur further research into machine-learning applications in formal verification and automated theorem proving.

Arithmetic quantum local systems over the moduli of curves

We construct an arithmetic analogue of the quantum local systems on the moduli of curves, and study its basic structure. Such an arithmetic local system gives rise to a uniform way of assigning a Galo...

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This article presents a novel construction of arithmetic quantum local systems, which bridges the gap between arithmetic geometry and quantum cohomology. The introduction of Galois cohomology in this context is particularly innovative and can have significant implications for understanding the interplay between number theory and geometry. The methodological rigor of the paper in treating both the theoretical and practical aspects adds to its impact.

Multiple truly topological unidirectional surface magnetoplasmons at terahertz frequencies

Unidirectional propagation based on surface magnetoplasmons (SMPs) has recently been realized at the interface of magnetized semiconductors. However, usually SMPs lose their unidirectionality due to n...

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This article presents a novel approach to harnessing multiple truly topological unidirectional surface magnetoplasmons at terahertz frequencies, expanding the current understanding and application of unidirectional surface waves. Its methodological rigor is evident through analytical derivations and numerical analyses, making it not only impactful for current research but also a strong candidate for influencing future developments in topological photonics and terahertz devices. The demonstration of robust unidirectional multimode interference and potential applications as an arbitrary-ratio splitter showcases significant applicability.

SEAL: Entangled White-box Watermarks on Low-Rank Adaptation

Recently, LoRA and its variants have become the de facto strategy for training and sharing task-specific versions of large pretrained models, thanks to their efficiency and simplicity. However, the is...

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The article addresses a critical gap in the protection of LoRA weights, a widely used technique in machine learning, by introducing a novel watermarking solution. Its focus on copyright protection is timely given the increasing importance of proprietary AI models, and the methodological rigor demonstrated in testing its performance against various attacks enhances its relevance. The ability to maintain performance across various tasks adds to its applicability and encourages further exploration in copyright and watermarking methods in ML.

On the robustness of exoplanet atmospheric detections: insights from extensive simulations

The classical picture of our Solar System being the archetypal outcome of planet formation has been rendered obsolete by the astonishing diversity of extrasolar-system architectures. From rare hot-Jup...

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This article presents a novel modeling framework supported by extensive simulations, which is crucial for understanding biases in atmospheric detection techniques in exoplanet research. The focus on the practical implications for future atmospheric studies signifies its importance, especially as the field shifts towards smaller exoplanets where detection is more challenging. The integration of observational noise analysis makes the findings robust and applicable for refining methodologies in exoplanet characterization, enhancing future research in comparative planetology.

Thermodynamics of charged rotating black strings in extended phase space

We investigate the thermodynamics of asymptotically Anti-de Sitter charged and rotating black strings in extended phase space, in which the cosmological constant is interpreted as thermodynamic pressu...

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This article provides significant insights into the thermodynamics of charged rotating black strings within the innovative framework of extended phase space. The interpretation of the cosmological constant as thermodynamic pressure and the exploration of thermal stability in solutions increases its novelty and relevance. Its findings on efficiency and the equation of state could inspire future research into black hole thermodynamics and astrophysical applications, although its specialized focus may limit broader applicability compared to more foundational studies.

Efficient measure of information backflow with quasi-stochastic process

Characterization and quantification of non-Markovian dynamics in open quantum systems is a topical issue in the rapidly developing field of quantum computation and quantum communication. A standard ap...

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The article presents a novel measure for quantifying information backflow in non-Markovian quantum systems, an area of significant interest within quantum information science. Its approach addresses the challenges associated with state-dependent measures, enhancing methodological rigor and applicability across various scenarios in quantum mechanics. The foundational discussions on quantum dynamical evolution add depth to its contribution.

Maxwell- $f(Q)$ theory

Exploring the four-dimensional AdS black hole is crucial within the framework of the AdS/CFT correspondence. In this research, considering the charged scenario, we investigate the four-dimensional sta...

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This paper presents a novel approach to understanding black holes in the context of the $f(Q)$ gravitational theory, which is relatively unexplored compared to general relativity. The analysis of singularities and thermodynamic properties adds depth to the research, making it applicable to ongoing discussions in theoretical physics. The incorporation of non-metricity and Maxwell's domain further enhances its relevance and applicability to scenarios beyond traditional frameworks. The results may influence future explorations in gravitational theories, which makes the methods and findings potentially impactful.

Image Segmentation with transformers: An Overview, Challenges and Future

Image segmentation, a key task in computer vision, has traditionally relied on convolutional neural networks (CNNs), yet these models struggle with capturing complex spatial dependencies, objects with...

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This article presents a timely and comprehensive overview of the transition from CNNs to transformer architectures in image segmentation. Its assessment of current challenges and future trends demonstrates insight into both contemporary issues and the direction of upcoming research, making it highly relevant. Additionally, the exploration of lightweight architectures and data efficiency addresses pressing needs in the field.

Comments on Minitwistors and the Celestial Supersphere

Continuing our program of deriving aspects of celestial holography from string theory, we extend the Roiban-Spradlin-Volovich-Witten (RSVW) formalism to celestial amplitudes. We reformulate the tree-l...

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This article presents a significant advancement in the theoretical framework connecting celestial holography and supersymmetric theories, especially through the innovative use of minitwistors and celestial amplitudes. The methodological rigor displayed in extending existing formalism and constructing a new generating functional demonstrates both novelty and depth, potentially paving the way for further research in related areas.

Reassessing aspects of the photon's LQG-modified dispersion relations

Our present contribution sets out to investigate a scenario based on the effects of the Loop Quantum Gravity (LQG) on the electromagnetic sector of the Standard Model of Fundamental Interactions and P...

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The article explores the intersection of Loop Quantum Gravity (LQG) and electromagnetic theory, which is a relatively novel approach. It potentially contributes to our understanding of fundamental interactions in particle physics, presenting a fresh perspective on dispersion relations and their implications on classical quantities. Its methodology shows depth by examining multiple parameters affecting the electromagnetic sector. However, clarity on experimental validation could enhance its impact.

Long-term Simultaneous Monitoring Observations of SiO and H2O Masers toward the Mira Variable WX Serpentis

We present the results from long-term simultaneous monitoring observations of SiO and H2O masers toward the Mira variable star WX Serpentis. This study has been conducted with 21m single-dish radio te...

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The study provides substantial insights into the behavior of SiO and H2O masers in relation to the optical light curve of a Mira variable star, revealing important correlations and differing formation mechanisms. The long-term observational data adds robustness to the findings and enhances the novelty of the research, as it addresses stellar phenomena that could impact our understanding of stellar evolution and maser physics. The implications for astrophysical outflows also suggest relevance for broader discussions in the field.