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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!

Electronic Health Records: Towards Digital Twins in Healthcare

The pivotal shift from traditional paper-based records to sophisticated Electronic Health Records (EHR), enabled systematic collection and analysis of patient data through descriptive statistics, prov...

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The article provides a critical overview of the transition to digital health records, emphasizing the integration of predictive analytics and digital twins in healthcare. Its focus on the MIMIC-III database adds significant value due to its recognized status in the medical research community, helping to democratize access to crucial patient data. The methodological rigor in discussing both EHR implementation and analytical capabilities positions it as a relevant resource for both current application and future research directions.

Optimal Execution among $N$ Traders with Transient Price Impact

We study $N$ -player optimal execution games in an Obizhaeva--Wang model of transient price impact. When the game is regularized by an instantaneous cost on the trading rate, a unique equilibri...

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The article presents a novel approach to optimal execution in financial markets by exploring $N$-player games with transient price impact, which is a critical area in finance. The establishment of a unique equilibrium under specific conditions adds to the theoretical rigor and can have practical implications for trading strategies. The results may influence both the academic discourse and the practical applications in finance, including algorithmic trading, market making, and risk management, which underscores its relevance.

Quantum Contextual Hypergraphs, Operators, Inequalities, and Applications in Higher Dimensions

Quantum contextuality plays a significant role in supporting quantum computation and quantum information theory. The key tools for this are the Kochen--Specker and non-Kochen--Specker contextual sets....

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This article presents a novel approach to quantum contextuality through the lens of hypergraphs, which is an innovative methodology that addresses scalability issues in higher dimensions. By extending the framework of contextuality beyond traditional operator-based representations, this research not only contributes significant theoretical advancements but also opens new avenues for practical applications in quantum technologies. The use of hypergraphs is a fresh perspective that could unify various concepts within quantum information theory, making this work particularly impactful.

Unified Face Matching and Physical-Digital Spoofing Attack Detection

Face recognition technology has dramatically transformed the landscape of security, surveillance, and authentication systems, offering a user-friendly and non-invasive biometric solution. However, des...

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The article addresses a critical issue in face recognition technology by proposing a unified model that improves efficiency and robustness against spoofing attacks. The methodological rigor, demonstrated through comprehensive experimental evaluations, enhances its credibility and applicability. The incorporation of state-of-the-art techniques like Swin Transformer and HiLo attention further underscores its novelty and potential impact on the field.

Convergence Analysis for Nonlinear GMRES

In this work, we revisit nonlinear generalized minimal residual method (NGMRES) applied to nonlinear problems. NGMRES is used to accelerate the convergence of fixed-point iterations, which can substan...

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This article provides a significant analytical contribution to the understanding of the nonlinear GMRES method, especially by addressing the previously unexplored area of NGMRES applied to nonlinear systems. The convergence analysis presented could have broad implications for numerical methods, enhancing computational efficiency in solving complex nonlinear problems, thus supporting its high relevance score.

Chromatic Purity in Hermitian K-Theory at $p=2$

In this article we investigate the question of chromatic purity of L-theory. To do so, we utilize the theory of additive GW and L-theory in the language of Poincaré categories as laid out in the serie...

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This article presents a significant advancement in understanding chromatic purity within L-theory at $p=2$, utilizing novel theoretical frameworks and revealing key properties of $E_1$-rings and their chromatic behavior. The application of Hermitian trace methods is particularly innovative, suggesting new pathways for future research in related areas. It demonstrates methodological rigor and has substantial implications for both theoretical mathematics and related fields, indicating that it may serve as a reference point for future studies.

Platform-Aware Mission Planning

Planning for autonomous systems typically requires reasoning with models at different levels of abstraction, and the harmonization of two competing sets of objectives: high-level mission goals that re...

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The article introduces the novel concept of Platform-Aware Mission Planning (PAMP), addressing a significant challenge in autonomous system planning by harmonizing high-level mission goals and low-level platform constraints. The blending of different modeling levels and the proposed approaches presents a methodological shift that could advance the field. The soundness and completeness proofs enhance the rigor of the work, while experimental validation provides practical relevance.

Empowering Large Language Models in Wireless Communication: A Novel Dataset and Fine-Tuning Framework

In this work, we develop a specialized dataset aimed at enhancing the evaluation and fine-tuning of large language models (LLMs) specifically for wireless communication applications. The dataset inclu...

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The article presents a novel dataset and fine-tuning framework specifically aimed at enhancing large language models in the context of wireless communication, a relatively underexplored application. The introduction of the Pointwise V-Information (PVI) method demonstrates methodological rigor and a clear theoretical basis for its superior performance, indicating significant advancements over existing frameworks. The practical demonstrations, especially concerning non-orthogonal multiple access (NOMA) and optimization problem summarization, support its relevance in operational scenarios. The work is likely to inspire future research on LLM applications in diverse engineering fields and beyond, making it impactful.

Chern-Simons gravitational term coupled to an isocurvature field

The Chern-Simons gravitational term during inflation is usually coupled to the inflaton field. The resulting theory suffers from ghost-field formation in the tensor sector, which limits the observatio...

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The paper presents a novel approach to coupling the Chern-Simons term with an isocurvature field, addressing issues of ghost-field formation in models of inflation. Its methodological rigor and implications for non-Gaussianities in cosmological observations enhance its relevancy. This work pushes forward theoretical frameworks in cosmology and opens avenues for further explorations in inflationary models and field interactions, marking it as impactful for both fundamental theories and observational phenomenology.

Optimal paths and dynamical symmetry breaking in the current fluctuations of driven diffusive media

Large deviation theory provides a framework to understand macroscopic fluctuations and collective phenomena in many-body nonequilibrium systems in terms of microscopic dynamics. In these lecture notes...

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The article presents cutting-edge insights into large deviation statistics and dynamical phase transitions in driven diffusive systems, a crucial area of nonequilibrium statistical mechanics. The integration of macroscopic fluctuation theory with microscopic methods offers a novel approach to understanding current fluctuations, making it highly relevant for ongoing research. The discussion of time-crystal phases and programmable mechanisms further indicates significant implications for future studies, enhancing the article's potential impact in both theoretical and experimental domains.

Artificial Intelligence-Driven Clinical Decision Support Systems

As artificial intelligence (AI) becomes increasingly embedded in healthcare delivery, this chapter explores the critical aspects of developing reliable and ethical Clinical Decision Support Systems (C...

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This article provides a comprehensive overview of the integration of AI in clinical decision-making, placing a strong emphasis on ethical considerations, model validation, and the importance of decision support reliability. It is particularly relevant in a landscape where AI is rapidly transforming healthcare, making its insights valuable for practitioners, developers, and policymakers. The multidisciplinary approach addressing technical and ethical aspects enhances its impact significantly.

Twistorial chiral algebras in higher dimensions

In four spacetime dimensions, the classically integrable self-dual sectors of gauge theory and gravity have associated chiral algebras, which emerge naturally from their description in twistor space. ...

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This article presents a novel approach to understanding chiral algebras in higher dimensions, expanding on existing theories in four-dimensional spacetime. Its exploration of hyperkähler and hyperholomorphic sectors indicates strong methodological rigor and application to integrable systems in theoretical physics. Furthermore, the use of twistor sigma models adds a significant depth of innovative technique, suggesting considerable value for future research in related areas.

Refinements of Van Hamme's (E.2) and (F.2) supercongruences and two supercongruences by Swisher

In 1997, Van Hamme proposed 13 supercongruences on truncated hypergeometric series. Van Hamme's (B.2) supercongruence was first confirmed by Mortenson and received a WZ proof by Zudilin later. In ...

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The article presents novel generalizations of established supercongruences, which is a significant advancement in the field of number theory. It builds on existing work and applies rigorous methods (WZ theory), showcasing potential for both theoretical insights and practical applications in modular arithmetic and congruences. The New conjectures offered for future research further enhance its impact.

Thermodynamics of coherent energy exchanges between lasers and two-level systems

We study the quantum thermodynamics of a coherent macroscopic electromagnetic field (laser) coupled to a two-level system (qubit) near resonance, from weak to strong driving regimes. This combined sys...

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This article presents a thorough exploration of the quantum thermodynamics involved in coherent interactions between lasers and two-level systems, addressing both foundational principles and practical implications. The approach of using a dressed qubit and the derivation of a new thermodynamically consistent master equation are notable contributions that could resolve inconsistencies in previous models. The methodology is robust, considering various driving regimes and providing detailed statistical analysis, which underscores the article's potential to advance theoretical frameworks in the field.

Advancements and Challenges in Sintering Cr4+:YAG Ceramics: A Comprehensive Review on Transparent Ceramic Technology for Q-switched Lasers

The resent progress in the technology of transparent ceramics extends the application of CW and pulsed lasers. The parameters of the transparent ceramics are comparable with the single crystals both f...

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This article provides a thorough review of both advancements and challenges in the sintering of Cr4+:YAG ceramics, a subject of current interest due to their applications in laser technology. The focus on the impact of specific additives on the sintering process and on Cr4+ ion formation addresses significant gaps in existing knowledge and potentially opens new avenues for research. Its implications for laser technology make it relevant and timely.

SIR on locally converging dynamic random graphs

In this paper, we study the trajectory of a classic SIR epidemic on a family of dynamic random graphs of fixed size, whose set of edges continuously evolves over time. We set general infection and rec...

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This article addresses a novel aspect of epidemiological modeling by integrating dynamic random graphs with the SIR model. The methodological rigor is established through a detailed theoretical analysis of convergence properties in these graph structures. This work has high potential for advancing theories in both contagion dynamics and network theory, particularly because it introduces the concept of dynamic local convergence in a formalized manner, which is still a budding area of research.

Weight for Robustness: A Comprehensive Approach towards Optimal Fault-Tolerant Asynchronous ML

We address the challenges of Byzantine-robust training in asynchronous distributed machine learning systems, aiming to enhance efficiency amid massive parallelization and heterogeneous computing resou...

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This article presents a significant advancement in fault tolerance for asynchronous distributed machine learning, a critical area given the increasing reliance on such systems. The novelty of adapting Byzantine frameworks specifically for asynchronous dynamics is commendable, and the thorough validation of the proposed methodology underlines a strong methodological rigor. As efficiency in this context is paramount, the findings could have broad implications for optimizing practical applications and inspiring future research in distributed systems.

Beyond Reward Hacking: Causal Rewards for Large Language Model Alignment

Recent advances in large language models (LLMs) have demonstrated significant progress in performing complex tasks. While Reinforcement Learning from Human Feedback (RLHF) has been effective in aligni...

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The article introduces a novel approach to improve language model alignment, addressing significant issues related to bias and fairness in reinforcement learning setups. The integration of causal inference into reward modeling is particularly innovative and could greatly enhance the reliability of responses generated by LLMs. The empirical testing on both synthetic and real-life datasets further validates the approach, increasing its robustness and potential for broad adoption in the field.

Berezinskii-Kosterlitz-Thouless region and magnetization plateaus in easy-axis triangular weak-dimer antiferromaget K $_2$ Co $_2$ (SeO $_3$ ) $_3$

We investigate the magnetic phase diagram of the bilayer triangular antiferromagnet K $_2$ Co $_2$ (SeO $_3$ ) $_3$ , unveiling a rich interplay between geometric frustration, ...

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This article presents novel findings on the magnetic phase diagram of a specific antiferromagnet, emphasizing the unique emergent symmetries involved. The rigorous combination of experimental and theoretical analysis highlights the significance of the BKT phase, which is crucial for understanding geometric frustration. This novelty and methodological quality suggest strong implications for future research in quantum and magnetic materials.

Polarons in atomic gases and two-dimensional semiconductors

In this work we provide a comprehensive review of theoretical and experimental studies of the properties of polarons formed by mobile impurities strongly interacting with quantum many-body systems. We...

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The article offers a thorough and comprehensive review that bridges theoretical and experimental insights across significant platforms in the field of polaron research. It showcases novel connections between ultracold atomic gases and transition metal dichalcogenides, which is crucial for advancing our understanding of polarons in different contexts. The detailed exploration of various polaron types and their implications for many-body physics enhances its applicability and potential impact.