Tootfinder

Do Students Rely on AI? Analysis of Student-ChatGPT Conversations from a Field Study
Jiayu Zheng, Lingxin Hao, Kelun Lu, Ashi Garg, Mike Reese, Melo-Jean Yap, I-Jeng Wang, Xingyun Wu, Wenrui Huang, Jenna Hoffman, Ariane Kelly, My Le, Ryan Zhang, Yanyu Lin, Muhammad Faayez, Anqi Liu
https://arxiv.org/abs/2508.20244

Do Students Rely on AI? Analysis of Student-ChatGPT Conversations from a Field Study
This study explores how college students interact with generative AI (ChatGPT-4) during educational quizzes, focusing on reliance and predictors of AI adoption. Conducted at the early stages of ChatGPT implementation, when students had limited familiarity with the tool, this field study analyzed 315 student-AI conversations during a brief, quiz-based scenario across various STEM courses. A novel four-stage reliance taxonomy was introduced to capture students' reliance patterns, distinguishing A…

PRAXA: A Framework for What-If Analysis
Sneha Gathani, Kevin Li, Raghav Thind, Sirui Zeng, Matthew Xu, Peter J. Haas, Cagatay Demiralp, Zhicheng Liu
https://arxiv.org/abs/2510.09791

PRAXA: A Framework for What-If Analysis
Various analytical techniques-such as scenario modeling, sensitivity analysis, perturbation-based analysis, counterfactual analysis, and parameter space analysis-are used across domains to explore hypothetical scenarios, examine input-output relationships, and identify pathways to desired results. Although termed differently, these methods share common concepts and methods, suggesting unification under what-if analysis. Yet a unified framework to define motivations, core components, and its dis…

Optimizing $pp\to A\to Z^{*}h\to \ell^ \ell^- b\bar b$ Searches at the LHC in the 2HDM Type-I with Inverted Hierarchy
S. Alanazi, S. Moretti, A. G. Akeroyd
https://arxiv.org/abs/2508.21385

Optimizing $pp\to A\to Z^{*}h\to \ell^+\ell^- b\bar b$ Searches at the LHC in the 2HDM Type-I with Inverted Hierarchy
In this study, we investigate the Large Hadron Collider (LHC) search for the signal process $pp\to A \to Z^{*}h \to \ell^{+} \ell^{-} b \bar{b}$ ($\ell=e,μ$) within the framework of the 2-Higgs-Doublet Model (2HDM) Type-I, considering an Inverted Hierarchy (IH) scenario wherein the Standard Model (SM)-like Higgs boson $H$ is heavier than $h$ (i.e., $m_h < m_H=125$ GeV). We reproduce the dominant background distributions from a CMS analysis of $pp\to H \to Z A \to \ell^{+} \ell^{-} b \bar{b}$ (…

Exploring Busy Period for Worst-Case Deadline Failure Probability Analysis
Junyi Liu, Xu Jiang, Yuanzhen Mu, Wang Yi, Nan Guan
https://arxiv.org/abs/2509.10479 https://

Exploring Busy Period for Worst-Case Deadline Failure Probability Analysis
Busy period is a fundamental concept in classical deterministic real-time scheduling analysis. In this deterministic context, only one busy period - which starts at the critical instant - needs to be considered, which identifies the worst-case scenario and thus paves the way for the development of efficient and safe analysis techniques. However, a recent work has revealed that, in the context of \textit{probabilistic} real-time scheduling analysis, only considering critical instant is not safe.…

M3HG: Multimodal, Multi-scale, and Multi-type Node Heterogeneous Graph for Emotion Cause Triplet Extraction in Conversations
Qiao Liang, Ying Shen, Tiantian Chen, Lin Zhang
https://arxiv.org/abs/2508.18740

M3HG: Multimodal, Multi-scale, and Multi-type Node Heterogeneous Graph for Emotion Cause Triplet Extraction in Conversations
Emotion Cause Triplet Extraction in Multimodal Conversations (MECTEC) has recently gained significant attention in social media analysis, aiming to extract emotion utterances, cause utterances, and emotion categories simultaneously. However, the scarcity of related datasets, with only one published dataset featuring highly uniform dialogue scenarios, hinders model development in this field. To address this, we introduce MECAD, the first multimodal, multi-scenario MECTEC dataset, comprising 989 …

Improved lower bound for the worst case Pretty Good Measurement
Austin Pechan, Sergio Escobar
https://arxiv.org/abs/2508.19085 https://arxiv.org/pdf/2508.1…

Improved lower bound for the worst case Pretty Good Measurement
We derive a new lower bound on the success probability of the Pretty Good Measurement (PGM) for worst-case quantum state discrimination among $m$ pure states. Our bound is strictly tighter than the previously known Gram-matrix-based bound for $m\geq 4$. The proof adapts techniques from Barnum and Knill's analysis of the average-case PGM, applied here to the worst-case scenario. By comparing the PGM to the sequential measurement algorithm, we obtain a guarantee showing that, in the low-fidelity …

Theory space and stability analysis of General Relativistic cosmological solutions in modified gravity
Saikat Chakraborty, Piyabut Burikham
https://arxiv.org/abs/2509.15762 http…

Theory space and stability analysis of General Relativistic cosmological solutions in modified gravity
Some aspects of two General Relativistic cosmological solutions, an exact $Λ$CDM-like cosmological solution $j=1$ ($j$ is cosmographic jerk parameter), and a specifically designed toy cosmological solution $j=1+3\varepsilon(q-1/2)$ ($q$ is cosmographic deceleration parameter, $0<|\varepsilon|<1$) that is capable of accommodating a phantom crossing scenario as suggested by DESI DR2, are studied within the context of $f(R)$ gravity, by portraying them as a \emph{flow} in the 2-dimensio…

Holographic Brownian dynamics of a heavy particle in a boosted thermal plasma background
Anirban Roy Chowdhury, Ashis Saha, Sunandan Gangopadhyay
https://arxiv.org/abs/2509.20889

Holographic Brownian dynamics of a heavy particle in a boosted thermal plasma background
In this work, we have performed a detailed holographic analysis of the stochastic dynamics of a heavy quark propagating through a strongly coupled plasma moving with a constant velocity along a fixed spatial direction. To model this scenario within the framework of the AdS/CFT correspondence, we consider a boosted AdS black brane geometry in the bulk. The boost corresponds to the uniform motion of the plasma on the boundary field theory side. The presence of this boost introduces a preferred di…

Determinants of Latin American students academic resilience-Insights based on PISA 2022 using an explainable machine learning approach
Marcos Delprato
https://arxiv.org/abs/2509.24830

Determinants of Latin American students academic resilience-Insights based on PISA 2022 using an explainable machine learning approach
The learning crisis in the Latin American region (i.e., higher rates of students not reaching basic competencies at secondary level) is worrying, particularly post-pandemic given the stronger role of inequality behind achievement. Within this scenario, the concept of student academic resilience (SAR), students who despite coming from disadvantaged backgrounds reach good performance levels, and an analysis of its determinants, are policy relevant. In this paper, using advancements on explainable…

Convergence analysis for the Barrett-Garcke-Nurnberg method of transport type
Genming Bai, Harald Garcke, Shravan Veerapaneni
https://arxiv.org/abs/2509.07834 https://

Convergence analysis for the Barrett-Garcke-Nurnberg method of transport type
In this paper, we propose a Barrett-Garcke-Nurnberg (BGN) method for evolving geometries under general flows and present the corresponding convergence analysis. Specifically, we examine the scenario where a closed curve evolves according to a prescribed background velocity field. Unlike mean curvature flow and surface diffusion, where the evolution velocities inherently exhibit parabolicity, this case is dominated by transport which poses a significant difficulty in establishing convergence pro…

VisFinEval: A Scenario-Driven Chinese Multimodal Benchmark for Holistic Financial Understanding
Zhaowei Liu, Xin Guo, Haotian Xia, Lingfeng Zeng, Fangqi Lou, Jinyi Niu, Mengping Li, Qi Qi, Jiahuan Li, Wei Zhang, Yinglong Wang, Weige Cai, Weining Shen, Liwen Zhang
https://arxiv.org/abs/2508.09641

VisFinEval: A Scenario-Driven Chinese Multimodal Benchmark for Holistic Financial Understanding
Multimodal large language models (MLLMs) hold great promise for automating complex financial analysis. To comprehensively evaluate their capabilities, we introduce VisFinEval, the first large-scale Chinese benchmark that spans the full front-middle-back office lifecycle of financial tasks. VisFinEval comprises 15,848 annotated question-answer pairs drawn from eight common financial image modalities (e.g., K-line charts, financial statements, official seals), organized into three hierarchical sc…

Cooperative Face Liveness Detection from Optical Flow
Artem Sokolov, Mikhail Nikitin, Anton Konushin
https://arxiv.org/abs/2508.10786 https://arxiv.org/pdf…

Cooperative Face Liveness Detection from Optical Flow
In this work, we proposed a novel cooperative video-based face liveness detection method based on a new user interaction scenario where participants are instructed to slowly move their frontal-oriented face closer to the camera. This controlled approaching face protocol, combined with optical flow analysis, represents the core innovation of our approach. By designing a system where users follow this specific movement pattern, we enable robust extraction of facial volume information through neur…

A Stochastic Geometric Analysis on Multi-cell Pinching-antenna Systems under Blockage Effect
Yanshi Sun, Zhiguo Ding, George K. Karagiannidis
https://arxiv.org/abs/2510.06972 ht…

A Stochastic Geometric Analysis on Multi-cell Pinching-antenna Systems under Blockage Effect
Recently, the study on pinching-antenna technique has attracted significant attention. However, most relevant literature focuses on a single-cell scenario, where the effect from the interfering pinching-antennas on waveguides connected to spatially distributed base stations (BSs) was ignored. To fulfill this knowledge gap, this letter aims to provide an analytical framework on performance evaluation for multi-cell pinching-antenna systems where spatially distributed waveguides which are connect…

Interaction of polytropic dark energy in cosmological model: Constraints from observational data
Elangbam Chingkheinganba Meetei, S. Surendra Singh
https://arxiv.org/abs/2508.15187

Interaction of polytropic dark energy in cosmological model: Constraints from observational data
We investigate an interacting polytropic dark energy (PDE) model characterised by the equation of state $p_{d} = αρ_{d}^{\,1+\frac{1}β}$, where the interaction between dark energy and pressureless matter is modelled via a linear coupling term $Q = 3ηHρ_{d}$. The background dynamics are formulated by deriving the Hubble parameter in the interacting scenario, and the model parameters are constrained through a Markov Chain Monte Carlo (MCMC) analysis using three joint observational data sets:…

A Type 2 Fuzzy Set Approach for Building Linear Linguistic Regression Analysis under Multi Uncertainty
Junzo Watada, Pei-Chun Lin, Bo Wang, Jeng-Shyang Pan, Jose Guadalupe Flores Muniz
https://arxiv.org/abs/2509.10498

A Type 2 Fuzzy Set Approach for Building Linear Linguistic Regression Analysis under Multi Uncertainty
In this paper, we propose a novel heuristic algorithm for constructing a Type-2 Fuzzy Set of the Linear Linguistic Regression (T2F-LLR) model, designed to address uncertainty and vagueness in real-world decision-making. We consider a practical scenario involving a cosmetic company's promotional planning across four product categories: Basic Face Care, Face Cleaning, Cosmetics, and Body Care, aimed at both male and female consumers. Data are collected using fuzzy linguistic questionnaires from c…

Taking the Highway or the Green Road? Conditional Temperature Forecasts Under Alternative SSP Scenarios
Anthoulla Phella, Vasco J. Gabriel, Luis F. Martins
https://arxiv.org/abs/2509.09384

Taking the Highway or the Green Road? Conditional Temperature Forecasts Under Alternative SSP Scenarios
In this paper, using the Bayesian VAR framework suggested by Chan et al. (2025), we produce conditional temperature forecasts up until 2050, by exploiting both equality and inequality constraints on climate drivers like carbon dioxide or methane emissions. Engaging in a counterfactual scenario analysis by imposing a Shared Socioeconomic Pathways (SSPs) scenario of "business as-usual", with no mitigation and high emissions, we observe that conditional and unconditional forecasts would follow a s…

Environment Reconstruction in Terahertz Monostatic Sensing: Joint Millimeter-level Geometry Mapping and Material Identification
Zitong Fang, Yejian Lyu, Ziming Yu, Chong Han
https://arxiv.org/abs/2508.10372

Environment Reconstruction in Terahertz Monostatic Sensing: Joint Millimeter-level Geometry Mapping and Material Identification
Terahertz (THz) integrated sensing and communication (ISAC) offers high-speed communication alongside precise environmental sensing. This paper presents a computationally efficient framework for THz-based environment reconstruction by integrating connected component analysis (CCA)-assisted multipath component (MPC) estimation with a sliding-window refinement strategy. To start with, a monostatic sensing experiment is conducted in an indoor scenario using a vector network analyzer (VNA)-based so…

Is the transition to unsteadiness in the wake of slender bodies an artefact of boundary conditions ?
David Fabre
https://arxiv.org/abs/2510.11880 https://a…

Is the transition to unsteadiness in the wake of slender bodies an artefact of boundary conditions ?
This work considers the transition to unsteadiness in the wake of 2D slender bodies, and questions the relevance of the generally accepted scenario involving a region of absolute instability within the near wake. The case of a thin plate at zero incidence is first considered. Despite the absence of absolute instability region, global stability analysis reveals the existence of numerous unstable eigenvalues organized along a characteristic "arc-branch" whose properties significantly depends upon…

Robust Competitive Ratio for Deterministic Monopoly Pricing
Tim S. G. van Eck, Pieter Kleer, Johan S. H. van Leeuwaarden
https://arxiv.org/abs/2509.06619 https://

Robust Competitive Ratio for Deterministic Monopoly Pricing
We study deterministic monopoly pricing under partial knowledge of the market, where the seller has access only to summary statistics of the valuation distribution, such as the mean, dispersion, and maximum value. Using tools from distributionally robust optimization and max-min analysis, we evaluate pricing strategies based on their competitive ratio (CR). We characterize the worst-case market scenario consistent with the available information and provide a complete solution for minimizing the…

Decarbonizing Basic Chemicals Production in North America, Europe, Middle East, and China: a Scenario Modeling Study
Tubagus Aryandi Gunawan, Hongxi Luo, Chris Greig, Eric D. Larson
https://arxiv.org/abs/2509.08279

Decarbonizing Basic Chemicals Production in North America, Europe, Middle East, and China: a Scenario Modeling Study
The chemicals industry accounts for about 5% of global greenhouse gas emissions today and is among the most difficult industries to abate. We model decarbonization pathways for the most energy-intensive segment of the industry, the production of basic chemicals: olefins, aromatics, methanol, ammonia, and chlor-alkali. Unlike most prior pathways studies, we apply a scenario-analysis approach that recognizes the central role of corporate investment decision making for capital-intensive industries…

A Methodological Framework for Positioning of Wireless Sensors in New Generation Launchers
Ivan Iudice, Domenico Pascarella, Sonia Zappia, Giovanni Cuciniello, Hernan M. R. Giannetta, Marta Albano, Enrico Cavallini
https://arxiv.org/abs/2509.07483

A Methodological Framework for Positioning of Wireless Sensors in New Generation Launchers
In wireless sensor networks for reusable launchers, the electromagnetic characterization and electromagnetic compatibility analyses are relevant due to the reference operational scenario, which implies a complex, and sometimes dynamic, electromagnetic environment. This work proposes a methodological framework for the design of the network and for the analysis of the related electromagnetic environment within the stages of a given launcher. Based on the preliminary positioning of the network nod…

Type-III Seesaw in Non-Holomorphic Modular Symmetry and Leptogenesis
Priya, Labh Singh, B. C. Chauhan, Surender Verma
https://arxiv.org/abs/2508.05047 https://

Type-III Seesaw in Non-Holomorphic Modular Symmetry and Leptogenesis
Recently, Qu and Ding, have proposed a formalism where modular invariance is extended to non-supersymmetric scenario considering Yukawa couplings as non-holomorphic functions of modules field $τ$. Adopting this formalism in this work, we propose a Type-III seesaw model as a unified framework to explain lepton masses and mixing and baryogenesis via leptogenesis. $χ^2$ analysis is performed to fit the neutrino oscillation data from NuFIT~6.0 leading to a normal hierarchical pattern of neutrino …

Analysis of managerial behaviors in business management
Ernest G\'orka, Dariusz Baran, Micha{\l} \'Cwi\k{a}ka{\l}a, Gabriela Wojak, Robert Marszczuk, Katarzyna Olszy\'nska, Piotr Mrzyg{\l}\'od, Maciej Frasunkiewicz, Piotr R\k{e}czajski, Kamil Sa{\l}uga, Maciej \'Slusarczyk, Jan Piwnik
https://arxiv.org/abs/2510.07047

Analysis of managerial behaviors in business management
This study explores how different managerial behaviors influence team effectiveness and organizational outcomes, using Kenneth Blanchard's situational leadership model as a diagnostic tool. Conducted across ten companies, the research evaluates leadership adaptability through a scenario-based questionnaire identifying instructional, teaching, supportive, and delegating styles. Results show that the supportive (affiliative) style is dominant, present in 60 percent of surveyed companies, with del…