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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!

A groundwater market model

We introduce the problem of groundwater trading, capturing the emergent groundwater market setups among stakeholders in a given groundwater basin. The agents optimize their production, taking into acc...

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This article presents a novel approach to groundwater trading, integrating economic game theory into environmental resource management. The focus on Nash equilibria provides a solid methodological framework while considering real-world implications of water rights and trading among stakeholders. This makes the findings not only relevant for economists and environmental scientists but also for policymakers addressing water scarcity issues. However, the multi-period model is still in its preliminary stages, which slightly limits its immediate applicability.

Expanding on the BRIAR Dataset: A Comprehensive Whole Body Biometric Recognition Resource at Extreme Distances and Real-World Scenarios (Collections 1-4)

The state-of-the-art in biometric recognition algorithms and operational systems has advanced quickly in recent years providing high accuracy and robustness in more challenging collection environments...

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The article presents a significant advancement in biometric recognition by expanding the BRIAR dataset, which addresses a pressing need for high-quality, diverse data in challenging conditions. The focus on extreme distances and unconventional settings introduces novelty, making it a relevant contribution to the field. The methodologies described suggest a rigorous approach to data collection and curation.

Bounded Toeplitz Products on the Hardy Space

A Toeplitz operator on the Hardy space of the unit circle is bounded if and only if its symbol is bounded. For two Toeplitz operators, there are no known function-theoretic conditions for their symbol...

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This article addresses a specific problem in the theory of Toeplitz operators, providing valuable insights by deriving conditions under which the boundedness of their product can be assessed through the boundedness of their symbols. The clear identification of function-theoretic conditions contributes to the existing knowledge and could inspire further explorations in operator theory. Its findings have potential applications in other areas of mathematical analysis, hence the high relevance score.

Flexible 3D Cage-based Deformation via Green Coordinates on Bézier Patches

Cage-based deformation is a fundamental problem in geometry processing, where a cage, a user-specified boundary of a region, is used to deform the ambient space of a given mesh. Traditional 3D cages a...

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The study presents a novel approach to 3D cage-based deformation that utilizes Bézier patches, which has significant implications for geometric modeling and animation. The exploration of high-curvature deformations and the theoretical underpinning using Green's third identity add both robustness and innovation to the methodology, enhancing the precision of deformations in computer graphics. The experimental results supporting the claims indicate methodological rigor and practical applicability.

Horocycles in hyperbolic 3-manifolds with round Sierpiński limit sets

Let M be a geometrically finite hyperbolic 3-manifold whose limit set is a round Sierpiński carpet, i.e. M is geometrically finite and acylindrical with a compact, totally geodesic convex core boundar...

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The article addresses a specific problem in hyperbolic geometry and extends previous foundational work by McMullen-Mohammadi-Oh, demonstrating novelty in its findings about horocycles in a geometrically finite setting. The results on orbit closures have significant implications for further studies in the topology and geometry of manifolds, contributing to both theoretical frameworks and application in geometric group theory. The rigorous classification method used indicates high methodological rigor.

Efficient 2D CT Foundation Model for Contrast Phase Classification

Purpose: The purpose of this study is to harness the efficiency of a 2D foundation model to develop a robust phase classifier that is resilient to domain shifts. Materials and Methods: This retrospe...

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The study presents a novel application of a 2D foundation model for contrast phase classification, showcasing significant results in classification accuracy and robustness to domain shifts. The use of multiple datasets for training and validation enhances methodological rigor, and the findings have strong implications for clinical AI applications, particularly in radiology. However, while the results are impressive, the lower performance in certain categories indicates ongoing challenges that may require further investigation.

A Hodge Theoretic generalization of $\mathbb{Q}$ -Homology Manifolds

We study a natural Hodge theoretic generalization of rational (or $\mathbb{Q}$ -)homology manifolds through an invariant ${\rm HRH(Z)}$ where $Z$ is a complex algebraic variety....

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This article presents a novel Hodge theoretic approach to studying rational homology manifolds, a concept that is relevant and important within algebraic geometry and singularity theory. The introduction of the invariant HRH(Z) and its applications to partial Poincaré duality and various invariants marks significant progress in understanding the differences between singularities in complex varieties. The methodology appears rigorous, employing local cohomology mixed Hodge modules to derive meaningful results. However, a more comprehensive discussion on the implications of these theoretical advancements could further strengthen its impact.

Switched Feedback for the Multiple-Access Channel

A mechanism called switched feedback is introduced; under switched feedback, each channel output goes forward to the receiver(s) or backwards to the transmitter(s) but never both. By studying the capa...

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This article presents a novel mechanism in communication systems that could significantly enhance the understanding of feedback's role in Multiple Access Channels (MAC). The study's focus on both reliable and unreliable feedback scenarios provides a comprehensive view, enriching the theoretical framework. The establishment of capacity bounds is particularly valuable for future research, contributing to both theoretical and practical applications in information theory.

Empirical estimation of host galaxy dispersion measure towards well localized fast radio bursts

Fast radio bursts (FRBs) are very energetic pulses of unknown physical origin. These can be used to study the intergalactic medium (IGM) thanks to their dispersion measure (DM). The DM has several con...

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This article presents a novel approach to empirically estimate the dispersion measure from host galaxies of fast radio bursts (FRBs), contributing significantly to understanding IGM properties. The methodological rigor is evident in the use of direct observations (VLT/MUSE) and the analysis of correlations between DM_host and various host galaxy properties. While the study opens pathways for improved understanding and modeling of FRBs, the identification of unaccounted contributions indicates a need for further investigation, suggesting a potential avenue for future research. The findings may influence the fields of astrophysics and cosmology, particularly concerning FRB origin theories and intergalactic medium studies.

You Shall Not Pass! The propagation of low/moderate powered jets through a turbulent interstellar medium

Feedback from black hole-powered jets has been invoked in many cosmological simulations to regulate star formation and quench galaxies. Despite this, observational evidence of how jets might be able t...

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This article tackles a significant gap in understanding the role of low/moderate powered jets from AGN in the context of star formation and galaxy evolution, which has implications for various astrophysical processes. The methodological rigor demonstrated through the use of the Arepo code for simulations adds credibility to the findings. Additionally, the exploration of different jet dynamics in a turbulent ISM context presents a novel approach that could reshape existing theories. Its findings could inspire further research in cosmological simulations and AGN feedback mechanisms.

Early r-process Enrichment and Hierarchical Assembly Across the Sagittarius Dwarf Galaxy

Dwarf galaxies like Sagittarius (Sgr) provide a unique window into the early stages of galactic chemical evolution, particularly through their metal-poor stars. By studying the chemical abundances of ...

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The article provides significant insights into the chemical evolution of dwarf galaxies, focusing on the Sagittarius dwarf galaxy and its early nucleosynthesis processes. Its robust methodology, combining metallicity-sensitive photometry and kinematic data, enhances the credibility of the findings. The identification of a large sample of extremely metal-poor stars and their distinct chemical abundances offers a high potential for influencing further studies in galactic evolution and nucleosynthesis. The novelty of linking early r-process enrichment to galaxy formation is particularly impactful.

Ceresa Cycles of $X_{0}(N)$

The Ceresa cycle is an algebraic 1-cycle on the Jacobian of an algebraic curve. Although it is homologically trivial, Ceresa famously proved that for a very general complex curve of genus at least 3, ...

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This article presents a significant advancement in understanding the Ceresa cycle within the context of modular curves, applying rigorous methods that combine both algebraic geometry and arithmetic. The analysis of the connection to Chow-Heegner points adds depth to the investigation, suggesting potential implications for various subfields in number theory and algebraic geometry. The results on non-torsion properties and torsion cases substantially enhance knowledge in this area, marking the work as both novel and methodologically robust.

Effects of electron correlation on resonant Edelstein and inverse-Edelstein effects

Spin-orbit coupling in systems with broken inversion symmetry gives rise to the Edelstein effect, which is the induced spin polarization in response to an applied electric field or current, and the in...

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This article presents a thorough investigation of the effects of electron correlation on spin-orbit phenomena, which are significant in the context of condensed matter physics. The exploration of chiral-spin modes and their resonance with the Edelstein and inverse Edelstein effects demonstrates novel insights into spintronics and correlated electron systems. The study's methodological rigor in analyzing multi-valley systems enhances its reliability and applicability.

Life in the Slow Lane: A Search for Long Term Variability in ASAS-SN

We search a sample of 9,361,613 isolated sources with 13<g<14.5 mag for slowly varying sources. We select sources with brightness changes larger than ~ 0.03 mag/year over 10 years, removing fals...

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This article presents a novel approach to identifying long-term variability in a large sample of astronomical sources. The methodology is methodologically rigorous, utilizing a large dataset and careful visual inspection to eliminate false positives. The identification of previously unclassified variables is particularly impactful, as it expands the current understanding of stellar variability. Furthermore, the grouping of sources based on distinct behaviors suggests potential new pathways for research into stellar evolution and variability.

Non-Topological Edge-Localized Yu-Shiba-Rusinov States in CrBr $_3$ /NbSe $_2$ Heterostructures

Topological superconductivity is predicted to emerge in certain magnet-superconductor hybrid systems. Here, we revisit the heterostructure of insulating monolayer CrBr $_3$ and NbSe $_2$ ...

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This article investigates the interplay between magnetic insulators and superconductors in heterostructures, contributing to the understanding of edge-localized states within the context of topological superconductivity. The use of advanced techniques like low-temperature scanning tunneling microscopy and spectroscopy lends methodological rigor to the findings. The reported results challenge previous assumptions and pose new questions regarding magnet-superconductor interactions, indicating potential for future research and exploration. Its implications for both fundamental physics and potential applications in quantum technologies further enhance its relevance.

Prior Knowledge Injection into Deep Learning Models Predicting Gene Expression from Whole Slide Images

Cancer diagnosis and prognosis primarily depend on clinical parameters such as age and tumor grade, and are increasingly complemented by molecular data, such as gene expression, from tumor sequencing....

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This article presents a novel approach to enhancing gene expression prediction through the integration of prior biological knowledge into deep learning models, which could significantly advance computational biology and oncology. The methodological rigor is noted in the thorough testing across multiple experiments and datasets, indicating robust results. The findings have substantial implications for improving oncological diagnostics and accelerating the adoption of AI in clinical settings.

Probing the Limits of Habitability: A Catalog of Rocky Exoplanets in the Habitable Zone

Several ground- and space-based searches have increased the number of known exoplanets to nearly 6000. While most are highly unlike our planet, the first rocky worlds in the Habitable Zone (HZ) provid...

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The article presents a novel and comprehensive catalog of rocky exoplanets in the habitable zone, which is crucial for guiding future observational efforts in astrobiology. The methodological rigor, including demographic analysis and the incorporation of stellar age data, adds substantial value. Its focus on limitations of habitability and identifying targets for future study is particularly relevant given current advancements in telescope technology, such as the JWST.

The Redundancy of Non-Singular Channel Simulation

Channel simulation is an alternative to quantization and entropy coding for performing lossy source coding. Recently, channel simulation has gained significant traction in both the machine learning an...

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The article addresses a critical gap in understanding the limitations and bounds of channel simulation, which is becoming increasingly relevant with the rise of machine learning applications. The methodological rigor presented through multiple proofs enhances its credibility and potential impact on future research.

Normality of monodromy group in generic convolution group

On an abelian variety $A$ , sheaf convolution gives a Tannakian formalism for perverse sheaves. Let $X$ be an irreducible algebraic variety with generic point $η$ . Let $K...

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This article presents a significant advancement in the understanding of the structure of monodromy groups in the context of Tannakian formalism applied to perverse sheaves. Its exploration of the normality of monodromy groups in generic convolution groups is novel, building upon existing results and potentially impacting future studies in algebraic geometry, representation theory, and the understanding of sheaf theory. The rigorous methodological approach indicated in the abstract enhances its overall impact, creating avenues for further exploration within the context of abelian varieties and monodromy theory.

Revisiting CLIP: Efficient Alignment of 3D MRI and Tabular Data using Domain-Specific Foundation Models

Multi-modal models require aligned, shared embedding spaces. However, common CLIP-based approaches need large amounts of samples and do not natively support 3D or tabular data, both of which are cruci...

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This article presents a novel approach to multi-modal alignment specifically addressing the integration of 3D MRI and tabular data in the medical domain. Its rigorous evaluation of the methodology, coupled with promising preliminary results, showcases potential advancements in medical imaging and data interoperability that could significantly impact clinical applications.