This is a experimental project. Feel free to send feedback!

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!

High-cadence stellar variability studies of RR Lyrae stars with DECam: New multi-band templates

We present the most extensive set to date of high-quality RR Lyrae light curve templates in the griz bands, based on time-series observations of the Dark Energy Camera Plane Survey (DECaPS) East field...

Useful Fields:

This article provides a novel and extensive dataset of RR Lyrae light curve templates, highly relevant for both theoretical and observational astrophysics. The methodological rigor in addressing outliers and the practical application for future surveys like LSST enhance its impact significantly. The public availability of the templates ensures broader accessibility and utility for the scientific community.

Performance of Silicon photomultipliers at low temperatures

We present experimental results of characterization of Silicon photomultipliers in a temperature range from 90~mK to 40~K. Two SiPMs, one from ONSEMI and one from Hamamatsu Photonics were tested. Oper...

Useful Fields:

The article provides novel experimental results on Silicon photomultipliers (SiPMs) at low temperatures, addressing an important gap in the understanding of their performance in extreme conditions. The methodological rigor exhibited in the characterization of multiple devices enhances the robustness of the findings, making it a significant contribution to the field.

Extending ChatGPT with a Browserless System for Web Product Price Extraction

With the advenement of ChatGPT, we can find very clean, precise answers to a varied amount of questions. However, for questions such as 'find the price of the lemon cake at zingerman's', t...

Useful Fields:

The proposed system Wextractor introduces a novel approach to enhance the capabilities of ChatGPT by enabling it to extract product prices from the web without browsing. This addresses a significant gap in the current functionalities of AI models focused on transactional queries, showcasing methodological innovation. However, the impact may be limited to specific use cases rather than offering broad applicability across diverse research areas.

Concentration of Empirical First-Passage Times

First-passage properties are central to the kinetics of target-search processes. Theoretical approaches so far primarily focused on predicting first-passage statistics for a given process or model. In...

Useful Fields:

The article addresses a significant gap in understanding how to extract first-passage statistics from limited experimental data, which is a common issue in both theoretical and applied contexts. The focus on concentration inequalities and confidence intervals for incomplete datasets is innovative and provides practical methodologies that can extend beyond theoretical models to real-world applications. This makes the research particularly relevant and potentially transformative for future studies.

Patterns robust to Disorder in spatially-interacting Generalized Lotka-Volterra Ecosystems

How do interactions between species influence their spatial distribution in an ecosystem? To answer this question, we introduce a spatially-extended ecosystem of Generalized Lotka-Volterra type, where...

Useful Fields:

This article presents significant advancements in understanding species interactions and spatial distributions within ecosystems through a rigorous mathematical framework. The introduction of nonlocal interactions and the identification of a critical stability criterion contribute novelty. Its findings could have important implications for ecological modeling and the understanding of complex systems, enhancing both theoretical and applied research.

Private, Auditable, and Distributed Ledger for Financial Institutes

Distributed ledger technology offers several advantages for banking and finance industry, including efficient transaction processing and cross-party transaction reconciliation. The key challenges for ...

Useful Fields:

The article presents a novel framework (PADL) designed for the financial sector which addresses significant challenges such as privacy, auditing, and multi-asset support within distributed ledger technology. The inclusion of cryptographic methods and zero-knowledge proofs enhances its robustness. Furthermore, the real-life case studies provide practical applicability, bolstering the framework's relevance and potential adoption in the industry. However, while innovative, the challenge remains in its widespread implementation across varying regulatory landscapes, slightly limiting its immediate impact.

Dormancy in random environment: Symmetric exclusion

In this paper, we study a spatial model for dormancy in random environment via a two-type branching random walk in continuous-time, where individuals can switch between dormant and active states throu...

Useful Fields:

This article presents a novel approach to studying dormancy in populations within a random environment by using a two-type branching random walk model. The combination of dormancy and a symmetric exclusion process is an innovative angle that can shed light on population dynamics and survival strategies. The use of a robust mathematical framework (the Parabolic Anderson model) adds methodological rigor. Furthermore, the potential implications on population size over time may influence future studies in ecology and the study of random processes.

Bounds on $A_α$ -eigenvalues using graph invariants

In 2017, Nikiforov introduced the concept of the $A_α$ -matrix, as a linear convex combination of the adjacency matrix and the degree diagonal matrix of a graph. This matrix has attracted incre...

Useful Fields:

The paper addresses a novel aspect of graph theory by introducing bounds on $A_α$-eigenvalues, which are a relatively new concept since their introduction in 2017. The use of graph invariants for bounding eigenvalues demonstrates methodological rigor and offers insights that could have significant implications for spectral graph theory.

Detecting the Undetectable: Assessing the Efficacy of Current Spoof Detection Methods Against Seamless Speech Edits

Neural speech editing advancements have raised concerns about their misuse in spoofing attacks. Traditional partially edited speech corpora primarily focus on cut-and-paste edits, which, while maintai...

Useful Fields:

The paper presents a significant advancement in the detection of spoofed speech, addressing a critical gap in current methods by introducing a new dataset and showcasing improved detection techniques. The innovative application of self-supervised learning in detecting more sophisticated edits adds to its potential impact, and the public availability of datasets enhances reproducibility and community engagement.

Dimming GRS 1915+105 observed with NICER and Insight--HXMT

The black hole X-ray binary GRS 1915+105 was bright for 26 years since its discovery and is well-known for its disk instabilities, quasi-periodic oscillations, and disk wind signatures. We report a lo...

Useful Fields:

This article presents a comprehensive and systematic study of the dynamics of GRS 1915+105 through advanced observational techniques using NICER and HXMT. Its investigation into ionized winds and quasi-periodic oscillations in the context of differing states of the black hole system is both novel and insightful, advancing the understanding of black hole accretion processes. The methodological rigor and the long-term observational data enhance its relevance in the field of astrophysics, particularly regarding black hole binaries.

TOI-5108 b and TOI 5786 b: Two transiting sub-Saturns detected and characterized with TESS, MaHPS and SOPHIE

We report the discovery and characterization of two sub-Saturns from the Transiting Exoplanet Survey Satellite (\textit{TESS}) using high-resolution spectroscopic observations from the MaHPS spectrogr...

Useful Fields:

The article presents significant contributions to the field of exoplanetary science through the discovery and detailed characterization of two sub-Saturns, utilizing robust observational methods from multiple sources. This dual characterization enriches our understanding of planetary formation and evolution, particularly in the context of the Neptune desert. The rigorous methodology employed, along with the implications regarding envelope mass fractions and stability against photoevaporation, adds to its impact. Future research may build upon the insights gained, particularly concerning planetary atmospheres and their evolution under different environmental conditions.

Quasi-optimal cyclic orbit codes

We focus on two aspects of cyclic orbit codes: invariants under equivalence and quasi-optimality. Regarding the first aspect, we establish a connection between the codewords of a cyclic orbit code and...

Useful Fields:

This article presents novel contributions to the study of cyclic orbit codes, which could provide significant advancements in coding theory. The establishment of a connection between codewords and linear sets adds theoretical depth, while the development of a general existence theorem for quasi-optimal codes broadens applicability across various dimensions and characteristics. The rigorous methodology and comprehensive approach enhance its potential impact.

Flux pinning in superconducting multilayer 2H-NbSe $_2$ nano-step junction

Superconductors exhibit dissipationless supercurrents even under finite bias and magnetic field conditions, provided these remain below the critical values. However, type-II superconductors in the flu...

Useful Fields:

This article presents an innovative experimental investigation of flux pinning in a novel material, 2H-NbSe$_2$, which is a promising superconductor for technological applications. The study explores the important aspects of vortex dynamics and the critical parameters of superconductivity, offering insights that could drive future research into enhanced superconducting materials and devices. The rigorous methodology, including the use of step junctions, adds robustness to the findings, thus making it a significant contribution to the field.

Some properties and applications of the new quantum $f$ -divergences

Recently, a new definition for quantum $f$ -divergences was introduced based on an integral representation. These divergences have shown remarkable properties, for example when investigating co...

Useful Fields:

The article introduces a new approach to quantum $f$-divergences, which is important for those studying quantum information theory. It presents novel results and proofs, particularly regarding the quantum Chernoff bound and inequalities related to Renyi divergences, indicating strong methodological rigor. This work has the potential to advance understanding in quantum information, though its immediate applicability may depend on future research further establishing its utility.

Spinor formulation of the Landau-Lifshitz-Gilbert equation with geometric algebra

The Landau-Lifshitz-Gilbert equation for magnetization dynamics is recast into spinor form using the real-valued Clifford algebra (geometric algebra) of three-space. We show how the undamped case can ...

Useful Fields:

The article presents a novel approach to the Landau-Lifshitz-Gilbert equation by reformulating it using spinor representation and geometric algebra. This indicates a significant methodological advancement that could enhance the understanding of magnetization dynamics. The clear geometric interpretations and solutions provided enhance the theoretical groundwork, making it relevant not only to existing studies but also to future research looking to utilize geometric algebra in this context.

A common framework for test ideals, closure operations, and their duals

Closure operations such as tight and integral closure and test ideals have appeared frequently in the study of commutative algebra. This articles serves as a survey of the authors' prior results c...

Useful Fields:

This article presents a synthesis of various closure and duality operations in commutative algebra, showcasing both novelty in its theoretical contributions and robustness in methodology. By connecting previously disparate concepts, it has the potential to deepen understanding in the field and inspire future research on generalizations and applications of these frameworks.

Mixing by Internal Gravity Waves in Stars: Assessing Numerical Simulations Against Theory

Here we present a study of radial chemical mixing in non-rotating massive main-sequence stars driven by internal gravity waves (IGWs), based on multi-dimensional hydrodynamical simulations with the fu...

Useful Fields:

The study presents a novel approach to understanding internal gravity waves' (IGWs) impact on stellar mixing, challenging existing theories and questioning their applicability in stellar evolution models. The combination of theoretical assessment with advanced hydrodynamical simulations adds methodological rigor. Additionally, highlighting the numerical issues with existing measurement techniques is crucial for advancing future research in this domain. However, the findings may be somewhat limited in broader applicability due to their focus on specific stellar types.

Self-Adaptive ERP: Embedding NLP into Petri-Net creation and Model Matching

Enterprise Resource Planning (ERP) consultants play a vital role in customizing systems to meet specific business needs by processing large amounts of data and adapting functionalities. However, the p...

Useful Fields:

This article presents a novel self-adaptive ERP framework that incorporates NLP and AI to enhance the customization process, which is a significant and relevant advancement in the field of ERP systems. The use of Petri nets for modeling and automating ERP adaptations addresses critical pain points in the business application of ERPs. The methodology includes a systematic literature review and design science research, adding rigor to the development of the framework. However, the practical implementation challenges and the extent to which the framework can be generalized require further elaboration, which is why it does not receive a perfect score.

Several facts about Theodor Wittstein, Gaetano Balducci, and some expressions of the net single premiums under their mortality assumption

The mathematical essence in life insurance spins around the search of the nu\-me\-ri\-cal characteristics of the random variables $T_x$ , $ν^{T_x}$ , $T_xν^{T_x}$ , etc., where &#...

Useful Fields:

The article contributes to the field of actuarial science and life insurance mathematics by deriving new formulas for the analysis of mortality assumptions based on historical figures. However, its pure mathematical focus and verification on hypothetical data may limit its immediate applicability in real-world settings.

STAR-RIS Aided Dynamic Scatterers Tracking for Integrated Sensing and Communications

Integrated sensing and communication (ISAC) has become an attractive technology for future wireless networks. In this paper, we propose a simultaneous transmission and reflection reconfigurable intell...

Useful Fields:

This paper addresses an innovative approach to integrated sensing and communication (ISAC) using STAR-RIS technology, which is quite novel and relevant given the increasing demand for efficient wireless communication systems. The proposed methodologies, including a Gaussian mixture-probability hypothesis density filter and a beam prediction strategy, exhibit methodological rigor and practical applicability, especially in high-mobility environments. The simulations provide preliminary support for the feasibility of the approach, though real-world validation is crucial for further credibility.