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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!

Gravitational waves and dark matter with Witten effect

We investigate the breaking of dark $SU(2)_d$ symmetry at different temperature scales, occurring after Peccei-Quinn symmetry breaking or following QCD symmetry breaking. We focus on assessing...

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The article presents a novel investigation into the interplay between dark matter candidates, specifically hidden monopoles, and gravitational waves, which could significantly advance the understanding of both dark matter and gravitational wave phenomena. The exploration of the Witten effect and its implications for the axion mass adds a layer of depth that could lead to new theoretical insights and potentially observational predictions. The methodological rigor appears strong, with a focus on high-energy physics frameworks that are currently relevant in cosmological and particle physics research.

IFRA: a machine learning-based Instrumented Fall Risk Assessment Scale derived from Instrumented Timed Up and Go test in stroke patients

Effective fall risk assessment is critical for post-stroke patients. The present study proposes a novel, data-informed fall risk assessment method based on the instrumented Timed Up and Go (ITUG) test...

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The study introduces a novel machine learning-based assessment tool (IFRA), demonstrating potential for better fall risk prediction in post-stroke patients compared to traditional methods. Its methodological rigor is supported by the use of a comprehensive dataset and the application of machine learning techniques. While the dataset is modest in size, the clear positive implications for clinical practice and patient monitoring enhance its relevance.

Constraints on Cosmic Rays Acceleration in Bright Gamma-ray Bursts with Observations of Fermi

Gamma-ray bursts (GRBs) are widely suggested as potential sources of ultrahigh-energy cosmic rays (UHECRs). The kinetic energy of the jets dissipates, leading to the production of an enormous amount o...

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This study provides crucial empirical constraints on the baryon loading factor in GRBs using observational data, advancing our understanding of cosmic ray acceleration processes. The methodology is rigorously applied with a clear framework, and the findings have direct implications for both theoretical models and observational strategies in high-energy astrophysics. Furthermore, the article addresses a critical aspect of gamma-ray burst research, linking observations to fundamental physics.

Evolution of exchange rate regime: Impact of macroeconomy of Bangladesh

Bangladesh has experienced two distinct exchange rate regimes: a fixed exchange rate system from January 1972 to May 2003 and a floating one since June 2003. After adopting the floating exchange rate ...

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The article addresses an important transition in Bangladesh's economic policy and provides valuable insights into the macroeconomic implications of exchange rate regimes. The evaluation of both fixed and floating systems, along with a focus on critical macroeconomic variables, suggests a good methodological approach. However, the impact may be limited to Bangladesh without broader comparative analysis with other countries' experiences.

Metrics for Inter-Dataset Similarity with Example Applications in Synthetic Data and Feature Selection Evaluation -- Extended Version

Measuring inter-dataset similarity is an important task in machine learning and data mining with various use cases and applications. Existing methods for measuring inter-dataset similarity are computa...

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The proposed metrics address significant limitations of existing methods for measuring inter-dataset similarity, which is a crucial aspect in machine learning and data mining. The novel contributions suggest a potential advancement in methodological rigor, which can stimulate future research. The solid theoretical foundation and empirical validation of the metrics enhance their credibility and applicability. Their relevance extends to practical applications, making them impactful for researchers and practitioners alike.

Discovering dense hydrogen solid at 1200K with deep variational free energy approach

We perform deep variational free energy calculations to investigate the dense hydrogen system at 1200 K and high pressures. In this computational framework, neural networks are used to model the free ...

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The article presents a novel approach utilizing deep variational free energy calculations to study dense hydrogen, which is a critical area in high-pressure physics and materials science. Its innovative use of neural networks for modeling free energy and the significant findings related to the transition from atomic liquid to molecular solid at high pressures mark a substantial contribution to the field. The methodological rigor and the implications discussed in the context of recent studies enhance its relevance and potential influence on future research directions.

The Factorizable Feigin-Frenkel center

We prove a factorizable version of the Feigin-Frenkel theorem on the center of the completed enveloping algebra of the affine Kac-Moody algebra attached to a simple Lie algebra at the critical level. ...

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This article addresses a significant topic in the realm of algebra, particularly focusing on the Feigin-Frenkel theorem and its implications on factorization algebras in a fresh context. The approach of examining topological Lie algebras through sheaves broadens the applicability of existing theories and introduces potential intersections with other mathematical fields, such as algebraic geometry and representation theory. The methodological rigor is strong, suggesting valuable insights for scholars working on related concepts.

Atleus: Accelerating Transformers on the Edge Enabled by 3D Heterogeneous Manycore Architectures

Transformer architectures have become the standard neural network model for various machine learning applications including natural language processing and computer vision. However, the compute and me...

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This article proposes a novel architectural design specifically tailored for accelerating transformer models on edge devices, addressing important challenges like compute and memory requirements. Its focus on three-dimensional heterogeneous architectures and optimization strategies for both fine-tuning and inference represents significant advancements in the field. The substantial performance and energy efficiency improvements demonstrated through experimental results further enhance the article's impact and applicability.

The White Dwarf Pareto: Tracing Mass Loss in Binary Systems

The white dwarf mass distribution has been studied primarily at two extremes: objects that presumably evolved as single stars and members of close binaries that likely underwent substantial interactio...

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This article provides a novel approach to understanding white dwarf mass loss in intermediate binary systems, filling a crucial gap in current research by focusing on a previously under-explored mass-separation regime. Its methodological rigor in applying a truncated Pareto profile to the mass distribution of binaries adds significant value. The findings have the potential to impact future studies, especially with upcoming large-scale datasets. The emphasis on how binary interactions influence evolution trends offers a fresh perspective that can drive further investigation and collaborations in the field.

New Methods of Identifying AGN in the Early Universe using Spectroscopy and Photometry in the JWST Era

We explore spectroscopic and photometric methods for identifying high-redshift galaxies containing an Active Galactic Nucleus (AGN) with JWST observations. After demonstrating the limitations of stand...

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The article introduces novel methods to identify AGN in high-redshift galaxies using advanced observational techniques in the JWST era. Its focus on specific emission lines is significant for understanding the early universe and offers a methodological innovation that could potentially redefine AGN selection criteria. The rigorous analysis, paired with empirical observations, demonstrates a strong applicability towards upcoming research in cosmology and astrophysics.

Theoretical Models for Tension-Dependent DNA Looping Time

The influence of tension on DNA looping has been studied both experimentally and theoretically in the past. However, different theoretical models have yielded different predictions, leaving uncertaint...

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This article presents a novel theoretical model that reconciles discrepancies among existing models regarding DNA looping under tension. Its exceptional agreement with simulations and potential for experimental validation highlight its significance in advancing our understanding of molecular biophysics. The insights provided could inspire a range of future studies, particularly in related experimental setups.

A simple model of a sequence-reading diffusion: non-self-averaging and self-averaging properties

Motivated by a question about the sensitivity of knots' diffusive motion to the actual sequence of nucleotides placed on a given DNA, here we study a simple model of a sequence-reading diffusion o...

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The article presents a novel approach to understanding the effects of sequence variability on the diffusive properties of a DNA chain, which is a significant aspect in fields like molecular biology and biophysics. The modeling framework touches on both the fundamental physics of diffusion processes and the specificity of biological sequences, making it a potentially impactful study. The investigation into self-averaging properties adds depth, and the use of numerical simulations strengthens the findings. However, the simplicity of the model may limit its direct applicability to more complex biological systems.

On finitely many base $q$ expansions

Given some integer $m \geq 3$ , we find the first explicit collection of countably many intervals in $(1,2)$ such that for any $q$ in one of these intervals, the set of points w...

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The article presents significant advancements in the understanding of base $q$ expansions, particularly in identifying intervals where certain properties hold. The explicit nature of the intervals is a noteworthy aspect that enhances its applicability. The reliance on foundational work by Falconer and Yavicoli adds rigor. The positive Hausdorff dimension is a compelling feature that underlines the existence of non-trivial mathematical structures, suggesting potential for broad implications in real analysis and dynamical systems. However, further verification and exploration of the findings may be needed to assess broader relevance.

Faces of homogeneous cones and applications to homogeneous chordality

A convex cone $\mathcal{K}$ is said to be homogeneous if its group of automorphisms acts transitively on its relative interior. Important examples of homogeneous cones include symmetric cones ...

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The article presents novel insights into the facial structure of homogeneous cones, a topic that is crucial for understanding both theoretical and practical aspects of convex analysis and optimization. The methodological rigor is highlighted by the algorithmic approach to constructing automorphisms and the connections made with existing structures such as positive semidefinite matrices. This integrative perspective on homogeneous cones and chordality, along with its implications for PSD completion problems, marks a significant advancement in this area, which enhances its potential impact on future research.

An Intermediate-mass Black Hole Lurking in A Galactic Halo Caught Alive during Outburst

Stellar-mass and supermassive black holes abound in the Universe, whereas intermediate-mass black holes (IMBHs) of ~10^2-10^5 solar masses in between are largely missing observationally, with few case...

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This article presents a significant discovery by demonstrating the existence of an intermediate-mass black hole (IMBH) through a well-observed tidal disruption event. The methodology combines sensitive X-ray surveys with multi-wavelength follow-ups, which enhances the rigor and credibility of the findings. The novelty of real-time detection and the implications for understanding black hole demographics and their evolutionary pathways significantly elevate the article’s impact on the field.

Sequential PatchCore: Anomaly Detection for Surface Inspection using Synthetic Impurities

The appearance of surface impurities (e.g., water stains, fingerprints, stickers) is an often-mentioned issue that causes degradation of automated visual inspection systems. At the same time, syntheti...

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The article presents a novel approach by incorporating synthetic impurities into anomaly detection, addressing a significant gap in current synthetic data generation methods. The introduction of Sequential PatchCore to handle memory constraints while improving training efficiency is methodologically rigorous. Its practical implications for surface inspection in industrial automation make it highly relevant.

The two extremal rays of some Hyper-Kähler fourfolds

We consider projective Hyper-Kähler manifolds of dimension four that are deformation equivalent to Hilbert squares of K3 surfaces. In case such a manifold admits a divisorial contraction, the exceptio...

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This article discusses a specific aspect of Hyper-Kähler fourfolds, focusing on divisorial contractions and the classification of conic bundles, which adds significant depth to the understanding of complex geometry. The novelty lies in identifying new cases and types of conic bundles related to K3 surfaces, thus filling a gap in the literature. The methodological rigor is evident through the thorough exploration of deformation equivalence and special cases, making it applicable for researchers in specialized areas of algebraic geometry and complex manifolds. Overall, the findings may have implications for future research on the classification of higher-dimensional varieties and their topological invariants.

Fabrication of Mode-Matched, Low-Loss Optical Resonators by Combination of FIB-Milling and CO $_2$ Laser Ablation

Fabry-Perot cavities are essential tools for applications like precision metrology, optomechanics and quantum technologies. A major challenge is the creation of microscopic spherical mirror structures...

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The article presents a novel fabrication technique for optical resonators that addresses significant challenges in the creation of high-quality, mode-matched cavities. The combination of FIB milling and CO$_2$ laser ablation offers methodological rigor and potential for high-impact advancements in precision optics. The emphasis on customized designs and low-loss characteristics indicates substantial applicability in various advanced fields, particularly in quantum technologies and precision metrology, which further supports its relevance.

Extract neutron-neutron interaction strength and spatial-temporal dynamics of neutron emission from two-particle correlation function

The neutron-neutron ( $nn$ ) correlation function has been measured in 25 MeV/u $^{124}$ Sn+ $^{124}$ Sn reactions. Using the Lednický-Lyuboshitz approach, the $nn$ scatte...

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The study employs a robust methodology to extract novel insights into neutron-neutron interactions and spatial-temporal dynamics, providing relevant measurements that could significantly enhance the understanding of nuclear forces. The consistency of results with prior low-energy scattering experiments also strengthens the findings' credibility and applicability in the field of nuclear physics. The clear momentum dependence adds additional depth to the analysis, enhancing the potential for future explorations into correlation dynamics.

Critical relaxational dynamics at the continuous transitions of three-dimensional spin models with ${\mathbb Z}_2$ gauge symmetry

We characterize the dynamic universality classes of a relaxational dynamics under equilibrium conditions at the continuous transitions of three-dimensional (3D) spin systems with a ${\mathbb Z}_2&...

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This article addresses critical relaxational dynamics in 3D spin models, providing new insights into dynamic universality classes and introducing empirical measurements of the dynamic critical exponent. Its focus on ${ extbf{Z}}_2$-gauge symmetry in both topological and nontopological transitions is relatively novel and adds depth to existing theories around critical phenomena, which may inspire further research in related areas of statistical mechanics and condensed matter physics.