Tootfinder

Seriously though, if you'd like to read about a pretty amazing woman who I've had the honour of getting to know better since joining the Board of the local women's shelter society: Ellen Frood is it.
“Her mother was a pioneer broadcaster with CBC in Ontario and Quebec and one of the first appointees in the late 1960s to the National Advisory Council on the Status of Women.
“A beautiful role model for me to follow,” says Frood, who 40 years later was invited to Ottawa…

Spectral Independence Beyond Total Influence on Trees and Related Graphs
Xiaoyu Chen, Xiongxin Yang, Yitong Yin, Xinyuan Zhang
https://arxiv.org/abs/2404.04668

Spectral Independence Beyond Total Influence on Trees and Related Graphs
We study how to establish $\textit{spectral independence}$, a key concept in sampling, without relying on total influence bounds, by applying an $\textit{approximate inverse}$ of the influence matrix. Our method gives constant upper bounds on spectral independence for two foundational Gibbs distributions known to have unbounded total influences: $\bullet$ The monomer-dimer model on graphs with large girth (including trees). Prior to our work, such results were only known for graphs with const…

This https://arxiv.org/abs/2404.18810 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csCL_…

Unknown Script: Impact of Script on Cross-Lingual Transfer
Cross-lingual transfer has become an effective way of transferring knowledge between languages. In this paper, we explore an often-overlooked aspect in this domain: the influence of the source language of the base language model on transfer performance. We conduct a series of experiments to determine the effect of the script and tokenizer used in the pre-trained model on the performance of the downstream task. Our findings reveal the importance of the tokenizer as a stronger factor than the sha…

After Hitler’s rise to power in 1933, some German Americans formed groups to support the Nazi party in Germany and attempt to influence American politics.
The most notorious of these groups was
the 🔸German-American Bund🔸, which tried to model itself as an American arm of Hitler’s Third Reich.
Although these groups wore uniforms and touted swastikas, in reality, they had few ties to Nazi Germany and their support among the larger German-American community was minimal.
N…

The American Nazis of the German American Bund, 1930s - Rare Historical Photos
After Hitler’s rise to power 1933, some German Americans formed groups to support the Nazi party in Germany and attempt to influence American politics.

Unbridled Icarus: A Survey of the Potential Perils of Image Inputs in Multimodal Large Language Model Security
Yihe Fan, Yuxin Cao, Ziyu Zhao, Ziyao Liu, Shaofeng Li
https://arxiv.org/abs/2404.05264

Unbridled Icarus: A Survey of the Potential Perils of Image Inputs in Multimodal Large Language Model Security
Multimodal Large Language Models (MLLMs) demonstrate remarkable capabilities that increasingly influence various aspects of our daily lives, constantly defining the new boundary of Artificial General Intelligence (AGI). Image modalities, enriched with profound semantic information and a more continuous mathematical nature compared to other modalities, greatly enhance the functionalities of MLLMs when integrated. However, this integration serves as a double-edged sword, providing attackers with …

Opinion Dynamics for Utility Maximizing Agents: Exploring the Impact of Resource Penalty
Prashil Wankhede, Nirabhra Mandal, Sonia Mart\'inez, Pavankumar Tallapragada
https://arxiv.org/abs/2404.04912

Opinion Dynamics for Utility Maximizing Agents: Exploring the Impact of Resource Penalty
We propose a continuous-time nonlinear model of opinion dynamics with utility-maximizing agents connected via a social influence network. A distinguishing feature of the proposed model is the inclusion of an opinion-dependent resource-penalty term in the utilities, which limits the agents from holding opinions of large magnitude. The proposed utility functions also account for how the relative resources within the social group affect both an agent's stubbornness and social influence. Each agent…

Spectral Independence Beyond Total Influence on Trees and Related Graphs
Xiaoyu Chen, Xiongxin Yang, Yitong Yin, Xinyuan Zhang
https://arxiv.org/abs/2404.04668

Spectral Independence Beyond Total Influence on Trees and Related Graphs
We study how to establish $\textit{spectral independence}$, a key concept in sampling, without relying on total influence bounds, by applying an $\textit{approximate inverse}$ of the influence matrix. Our method gives constant upper bounds on spectral independence for two foundational Gibbs distributions known to have unbounded total influences: $\bullet$ The monomer-dimer model on graphs with large girth (including trees). Prior to our work, such results were only known for graphs with const…

This https://arxiv.org/abs/2402.06646 has been replaced.
initial toot: https://mastoxiv.page/@arXi…

Diffusion Model-based Probabilistic Downscaling for 180-year East Asian Climate Reconstruction
As our planet is entering into the "global boiling" era, understanding regional climate change becomes imperative. Effective downscaling methods that provide localized insights are crucial for this target. Traditional approaches, including computationally-demanding regional dynamical models or statistical downscaling frameworks, are often susceptible to the influence of downscaling uncertainty. Here, we address these limitations by introducing a diffusion probabilistic downscaling model (DPDM) …

Physics-based deep learning reveals rising heating demand heightens air pollution in Norwegian cities
Cong Cao, Ramit Debnath, R. Michael Alvarez
https://arxiv.org/abs/2405.04716 …

Physics-based deep learning reveals rising heating demand heightens air pollution in Norwegian cities
Policymakers frequently analyze air quality and climate change in isolation, disregarding their interactions. This study explores the influence of specific climate factors on air quality by contrasting a regression model with K-Means Clustering, Hierarchical Clustering, and Random Forest techniques. We employ Physics-based Deep Learning (PBDL) and Long Short-Term Memory (LSTM) to examine the air pollution predictions. Our analysis utilizes ten years (2009-2018) of daily traffic, weather, and ai…

This https://arxiv.org/abs/2310.00341 has been replaced.
link: https://scholar.google.com/scholar?q=a

Mathematical Model of Dating Apps' Influence on Sexually Transmitted Diseases Spread
Sexually transmitted diseases (STDs) are a group of pathogens infecting new hosts through sexual interactions. Due to its social and economic burden, multiple models have been proposed to study the spreading of pathogens. In parallel, in the ever-evolving landscape of digital social interactions, the pervasive utilization of dating apps has become a prominent facet of modern society. Despite the surge in popularity and the profound impact on relationship formation, a crucial gap in the literatu…

Influence of a slow moving vehicle on traffic: Well-posedness and approximation for a mildly non-local model
Abraham Sylla
https://arxiv.org/abs/2405.02215

Influence of a slow moving vehicle on traffic: Well-posedness and approximation for a mildly non-local model
In this paper, we propose a macroscopic model that describes the influence of a slow moving large vehicle on road traffic. The model consists of a scalar conservation law with a non-local constraint on the flux. The constraint level depends on the trajectory of the slower vehicle which is given by an ODE depending on the downstream traffic density. After proving well-posedness, we first build a finite volume scheme and prove its convergence, and then investigate numerically this model by perfor…

The importance of the incubation time distribution in compartmental epidemiological models
Eric Rozan, Marcelo N Kuperman, Sebastian Bouzat
https://arxiv.org/abs/2403.04505

The importance of the incubation time distribution in compartmental epidemiological models
This study investigates the utilization of various mathematical models for comprehending and managing outbreaks of infectious diseases, with a specific focus on how different distributions of incubation times influence predictions regarding epidemics. Two methodologies are examined: a compartmental SEnIR ODE model, which represents an enhanced version of the mean-field SEIR model, and a stochastic agent-based complex network model. Our findings demonstrate that the selection of diverse incubati…

On bursty star formation during cosmological reionization - how does it influence the baryon mass content of dark matter halos?
Anand Menon (International Centre for Radio Astronomy Research at The University of Western Australia), Chris Power (International Centre for Radio Astronomy Research at The University of Western Australia)
https://

On bursty star formation during cosmological reionization - how does it influence the baryon mass content of dark matter halos?
The baryon mass content of dark matter halos in the early Universe depends on global factors - e.g. ionising ultraviolet (UV) radiation background - and local factors - e.g. star formation efficiency and assembly history. We use a lightweight semi-analytical model to investigate how local and global factors impact halo baryon mass content at redshifts of $z\geq 5$. Our model incorporates a time delay between when stars form and when they produce feedback, which drive bursts of star formation, a…

Social clustering reinforces external influence on the majority opinion model
Niels Van Santen, Jan Ryckebusch, Luis E. C. Rocha
https://arxiv.org/abs/2404.02689

Social clustering reinforces external influence on the majority opinion model
Public opinion is subject to peer interaction via social networks and external pressures from the media, advertising, and other actors. In this paper, we study the interaction between external and peer influence on the stochastic opinion dynamics of a majority vote model. We introduce a model where agents update their opinions based on the combined influence from their local neighbourhood (peers) and from an external actor in the transition rates. In the first model, the external influence is o…

Colleagues at RISE recently released a report on the risks associated with information influence and AI, specifically large language models (LLMs). The report focuses on how LLM vulnerabilities can be exploited to promote disinformation and influence opinion on a global scale. The findings suggest that LLMs can be powerful tools to spread desinformation. It also calls for further research to develop more resilient strategies against LLM-driven desinformation.

Towards A Double-Edged Sword: Modelling the Impact in Agile Software Development
Michael Neumann, Philipp Diebold
https://arxiv.org/abs/2405.01757 https://…

Towards A Double-Edged Sword: Modelling the Impact in Agile Software Development
Agile methods are state of the art in software development. Companies worldwide apply agile to counter the dynamics of the markets. We know, that various factors like culture influence the successfully application of agile methods in practice and the sucess is differing from company to company. To counter these problems, we combine two causal models presented in literature: The Agile Practices Impact Model and the Model of Cultural Impact. In this paper, we want to better understand the two fac…

This https://arxiv.org/abs/2402.06646 has been replaced.
initial toot: https://mastoxiv.page/@arXi…

Diffusion Model-based Probabilistic Downscaling for 180-year East Asian Climate Reconstruction
As our planet is entering into the "global boiling" era, understanding regional climate change becomes imperative. Effective downscaling methods that provide localized insights are crucial for this target. Traditional approaches, including computationally-demanding regional dynamical models or statistical downscaling frameworks, are often susceptible to the influence of downscaling uncertainty. Here, we address these limitations by introducing a diffusion probabilistic downscaling model (DPDM) …

This https://arxiv.org/abs/2308.04921 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_mat…

How to induce regularization in linear models: A guide to reparametrizing gradient flow
In this work, we analyze the relation between reparametrizations of gradient flow and the induced implicit bias in linear models, which encompass various basic regression tasks. In particular, we aim at understanding the influence of the model parameters - reparametrization, loss, and link function - on the convergence behavior of gradient flow. Our results provide conditions under which the implicit bias can be well-described and convergence of the flow is guaranteed. We furthermore show how t…

This https://arxiv.org/abs/2311.12619 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_qu…

Two-dimensional symmetry-protected topological phases and transitions in open quantum systems
We investigate the influence of local decoherence on a symmetry-protected topological (SPT) phase of the two-dimensional (2D) cluster state. Mapping the 2D cluster state under decoherence to a classical spin model, we show a topological phase transition of a $\mathbb{Z}_2^{(0)}\times\mathbb{Z}_{2}^{(1)}$ SPT phase into the trivial phase occurring at a finite decoherence strength. To characterize the phase transition, we employ three distinct diagnostic methods, namely, the relative entropy betw…

This https://arxiv.org/abs/2307.13991 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csRO_…

METAVerse: Meta-Learning Traversability Cost Map for Off-Road Navigation
Autonomous navigation in off-road conditions requires an accurate estimation of terrain traversability. However, traversability estimation in unstructured environments is subject to high uncertainty due to the variability of numerous factors that influence vehicle-terrain interaction. Consequently, it is challenging to obtain a generalizable model that can accurately predict traversability in a variety of environments. This paper presents METAVerse, a meta-learning framework for learning a glob…

This https://arxiv.org/abs/2402.14151 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csIR_…

BIRCO: A Benchmark of Information Retrieval Tasks with Complex Objectives
We present the Benchmark of Information Retrieval (IR) tasks with Complex Objectives (BIRCO). BIRCO evaluates the ability of IR systems to retrieve documents given multi-faceted user objectives. The benchmark's complexity and compact size make it suitable for evaluating large language model (LLM)-based information retrieval systems. We present a modular framework for investigating factors that may influence LLM performance on retrieval tasks, and identify a simple baseline model which matches o…

This https://arxiv.org/abs/2312.01812 has been replaced.
initial toot: https://mastoxiv.page/@arX…

Emergence of innovations in networked populations with reputation-driven interactions
In this work we analyze how reputation-based interactions influence the emergence of innovations. To do so, we make use of a dynamic model that mimics the discovery process by which, at each time step, a pair of individuals meet and merge their knowledge to eventually result in a novel technology of higher value. The way in which these pairs are brought together is found to be crucial for achieving the highest technological level. Our results show that when the influence of reputation is weak o…

Development of an Estimation Method for the Seismic Motion Reproducibility of a Three-dimensional Ground Structure Model by combining Surface-observed Seismic Motion and Three-dimensional Seismic Motion Analysis
Tsuyoshi Ichimura, Kohei Fujita, Ryota Kusakabe, Hiroyuki Fujiwara, Muneo Hori, Maddegedara Lalith
https://arxiv.org/a…

Development of an Estimation Method for the Seismic Motion Reproducibility of a Three-dimensional Ground Structure Model by combining Surface-observed Seismic Motion and Three-dimensional Seismic Motion Analysis
The ground structure can substantially influence seismic ground motion underscoring the need to develop a ground structure model with sufficient reliability in terms of ground motion estimation for earthquake damage mitigation. While many methods for generating ground structure models have been proposed and used in practice, there remains room for enhancing their reliability. In this study, amid many candidate 3D ground structure models generated from geotechnical engineering knowledge, we prop…

An Allosteric Model for the Influence of $\text{H}^ $ and $\text{CO}_2$ on Oxygen-Hemoglobin Binding
Heming Huang, Charles S. Peskin
https://arxiv.org/abs/2402.17796

An Allosteric Model for the Influence of $\text{H}^+$ and $\text{CO}_2$ on Oxygen-Hemoglobin Binding
In the physiology of oxygen-hemoglobin binding, an important role is played by the influence of $\text{H}^+$ and $\text{CO}_2$ on the affinity of hemoglobin for $\text{O}_2$. Here we extend the allosteric model of hemoglobin to include these effects. We assume purely allosteric modulation, i.e., that the modulatory effects of $\text{H}^+$ and $\text{CO}_2$ on oxygen binding occur only because of their influence on the T $\leftrightarrow$ R transition, in which all four subunits of the hemoglobi…

Die #COVID-19-Lockdowns im Frühjahr 2020 haben zu einer signifikanten #Reduzierung der #Luftverschmutzung in der

Air pollution reductions caused by the COVID-19 lockdown open up a way to preserve the Himalayan glaciers
Abstract. The rapid melting of glaciers in the Hindu Kush Himalayas (HKH) during recent decades poses an alarming threat to water security for larger parts of Asia. If this melting persists, the entirety of the Himalayan glaciers are estimated to disappear by end of the 21st century. Here, we assess the influence of the spring 2020 COVID-19 lockdown on the HKH, demonstrating the potential benefits of a strict emission reduction roadmap. Chemistry–climate model simulations, supported by satell…

Effects of Marine Reserve Creation in Single Species and Prey-Predator Models
Aleksander \'Cwiszewski, S{\l}awomir Plaskacz
https://arxiv.org/abs/2403.03313

Effects of Marine Reserve Creation in Single Species and Prey-Predator Models
Single species fisheries and prey-predator models with marine protected areas (MPA) are studied. The single species case is considered when the fishing effort is around the species extinction threshold and the influence of implementing MPA on catch quantity are studied. In the prey-predator fishery model, the situation with the fishing effort close to the predator extinction value is considered and the effects of implementing MPA are discussed with the focus on MPA sizes assuring an acceptable …

On Clustering Induced Voronoi Diagrams
Danny Z. Chen, Ziyun Huang, Yangwei Liu, Jinhui Xu
https://arxiv.org/abs/2404.18906 https://ar…

On Clustering Induced Voronoi Diagrams
In this paper, we study a generalization of the classical Voronoi diagram, called clustering induced Voronoi diagram (CIVD). Different from the traditional model, CIVD takes as its sites the power set $U$ of an input set $P$ of objects. For each subset $C$ of $P$, CIVD uses an influence function $F(C,q)$ to measure the total (or joint) influence of all objects in $C$ on an arbitrary point $q$ in the space $\mathbb{R}^d$, and determines the influence-based Voronoi cell in $\mathbb{R}^d$ for $C$.…

Branching Brownian motion versus Random Energy Model in the supercritical phase: overlap distribution and temperature susceptibility
Benjamin Bonnefont, Michel Pain, Olivier Zindy
https://arxiv.org/abs/2404.02888

Branching Brownian motion versus Random Energy Model in the supercritical phase: overlap distribution and temperature susceptibility
In comparison with Derrida's REM, we investigate the influence of the so-called decoration processes arising in the limiting extremal processes of numerous log-correlated Gaussian fields. In particular, we focus on the branching Brownian motion and two specific quantities from statistical physics in the vicinity of the critical temperature. The first one is the two-temperature overlap, whose behavior at criticality is smoothened by the decoration process - unlike the one-temperature overlap whi…

A Multi-Agent Model for Opinion Evolution under Cognitive Biases
M\'ario S. Alvim, Artur Gaspar da Silva, Sophia Knight, Frank Valencia
https://arxiv.org/abs/2402.17615

A Multi-Agent Model for Opinion Evolution under Cognitive Biases
We generalize the DeGroot model for opinion dynamics to better capture realistic social scenarios. We introduce a model where each agent has their own individual cognitive biases. Society is represented as a directed graph whose edges indicate how much agents influence one another. Biases are represented as the functions in the square region $[-1,1]^2$ and categorized into four sub-regions based on the potential reactions they may elicit in an agent during instances of opinion disagreement. Und…

This https://arxiv.org/abs/2311.08631 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csHC_…

Influence of Video Dynamics on EEG-based Single-Trial Video Target Surveillance System
Target detection models are one of the widely used deep learning-based applications for reducing human efforts on video surveillance and patrol. However, the application of conventional computer vision-based target detection models in military usage can result in limited performance, due to the lack of sample data of hostile targets. In this paper, we present the possibility of the electroencephalography-based video target detection model, which could be applied as a supportive module of the mi…

This https://arxiv.org/abs/2402.07505 has been replaced.
initial toot: https://mastoxiv.page/@…

Dynamical phase transitions in $XY$ model: a Monte Carlo and mean-field theory study
We investigate the dynamical phases and phase transitions arising in a classical two-dimensional anisotropic $XY$ model under the influence of a periodically driven temporal external magnetic field in the form of a symmetric square wave. We use a combination of finite temperature classical Monte Carlo simulation, implemented within a CPU + GPU paradigm, utilizing local dynamics provided by the Glauber algorithm and a phenomenological equation-of-motion approach based on relaxational dynamics go…

InfFeed: Influence Functions as a Feedback to Improve the Performance of Subjective Tasks
Somnath Banerjee, Maulindu Sarkar, Punyajoy Saha, Binny Mathew, Animesh Mukherjee
https://arxiv.org/abs/2402.14702

InfFeed: Influence Functions as a Feedback to Improve the Performance of Subjective Tasks
Recently, influence functions present an apparatus for achieving explainability for deep neural models by quantifying the perturbation of individual train instances that might impact a test prediction. Our objectives in this paper are twofold. First we incorporate influence functions as a feedback into the model to improve its performance. Second, in a dataset extension exercise, using influence functions to automatically identify data points that have been initially `silver' annotated by some …

This https://arxiv.org/abs/2404.05212 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csCV_…

DiffCJK: Conditional Diffusion Model for High-Quality and Wide-coverage CJK Character Generation
Chinese, Japanese, and Korean (CJK), with a vast number of native speakers, have profound influence on society and culture. The typesetting of CJK languages carries a wide range of requirements due to the complexity of their scripts and unique literary traditions. A critical aspect of this typesetting process is that CJK fonts need to provide a set of consistent-looking glyphs for approximately one hundred thousand characters. However, creating such a font is inherently labor-intensive and expe…

Phase diagrams and polarization reversal in nanosized HfxZr1-xO2-y
Eugene A. Eliseev, Yuri O. Zagorodniy, Victor N. Pavlikov, Oksana V. Leshchenko, Hanna V. Shevilakova, M. V. Karpec, N. I. Danilenko, Andrei D. Yaremkevych, Olena M. Fesenko, Sergei V. Kalinin, Anna N. Morozovska
https://arxiv.org/abs/2402.18336

Phase diagrams and polarization reversal in nanosized HfxZr1-xO2-y
To describe the polar properties of the nanosized HfxZr1-xO2-y, we evolve the "effective" Landau-Ginzburg-Devonshire (LGD) model based on the parametrization of the Landau expansion coefficients for the polar and antipolar orderings. We have shown that the effective LGD model can predict the influence of screening conditions and size effects on phase diagrams, polarization reversal and structural properties of the nanosized HfxZr1-xO2-y of various shape and sizes. To verify the model, we use av…

A coupled fluid-dynamics-heat transfer model for 3D simulations of the aqueous humor flow in the human eye
Thomas Saigre (IRMA), Christophe Prud'Homme (IRMA), Marcela Szopos (MAP5 - UMR 8145), Vincent Chabannes (IRMA)
https://arxiv.org/abs/2404.19353 https://arxiv.org/pdf/2404.19353
arXiv:2404.19353v1 Announce Type: new
Abstract: Understanding human eye behavior involves intricate interactions between physical phenomena such as heat transfer and fluid dynamics. Accurate computational models are vital for comprehending ocular diseases and therapeutic interventions.This work focuses on modeling and simulating aqueous humor flow in the anterior and posterior chambers of the eye, coupled with overall heat transfer.Aqueous humor dynamics regulates intraocular pressure, crucial for understanding conditions like glaucoma.Convective effects from temperature disparities also influence this flow.Extending prior research, this work develops a comprehensive three-dimensional computational model to simulate coupled fluid-dynamic-heat transfer model, thus contributing to the understanding of ocular physiology.

Probing solar modulation analytic models with cosmic ray periodic spectra
Wei-Cheng Long, Juan Wu
https://arxiv.org/abs/2403.20038 https://

Probing solar modulation analytic models with cosmic ray periodic spectra
The AMS02 experiment has published the periodic spectra of proton, helium and helium isotopes across the majority of the 24 solar cycle. These precise data exhibit temporal structures that correlate with solar modulation. In this study, we utilize these data to probe three analytic solar modulation models, including the force-field approximation, the convection-diffusion model and the extended force-field approximation with a drift effect. We adopt a method that eliminates the influence of inte…

Development of an Estimation Method for the Seismic Motion Reproducibility of a Three-dimensional Ground Structure Model by combining Surface-observed Seismic Motion and Three-dimensional Seismic Motion Analysis
Tsuyoshi Ichimura, Kohei Fujita, Ryota Kusakabe, Hiroyuki Fujiwara, Muneo Hori, Maddegedara Lalith
https://arxiv.org/a…

Development of an Estimation Method for the Seismic Motion Reproducibility of a Three-dimensional Ground Structure Model by combining Surface-observed Seismic Motion and Three-dimensional Seismic Motion Analysis
The ground structure can substantially influence seismic ground motion underscoring the need to develop a ground structure model with sufficient reliability in terms of ground motion estimation for earthquake damage mitigation. While many methods for generating ground structure models have been proposed and used in practice, there remains room for enhancing their reliability. In this study, amid many candidate 3D ground structure models generated from geotechnical engineering knowledge, we prop…

This https://arxiv.org/abs/2401.13767 has been replaced.
initial toot: https://mastoxiv.page/@arX…

The emergence of antiferromagnetic correlations and Kondo-like features in a two-band model for infinite-layer nickelates
We report a determinant quantum Monte Carlo study of a two-band model, inspired by infinite-layer nickelates, focusing on the influence of interlayer hybridization between $3d_{x^2-y^2}$ orbitals derived from Ni (or Ni and O) in one layer and rare-earth ($R$) 5d orbitals in the other layer, hereafter the NI and $R$ layers, respectively. For a filling with one electron shared between the two layers on average, interlayer hybridization leads to "self-doped" holes in the Ni layer and the absence o…

This https://arxiv.org/abs/2402.16707 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_…

Bondi-Hoyle-Lyttleton Accretion around the Rotating Hairy Horndeski Black Hole
We model the dynamical changes of the disk and shock cone resulting from the interaction of matter with the Horndeski black hole, at where the scalar field and spacetime has a strong interaction. The effects of the scalar hair, the black hole rotation parameter, and the impacts of the asymptotic speed have been examined, revealing the influence of these parameters on the shock cone and the trapped QPO modes within the cone. Numerical calculations have shown that the hair paramete significantly …

Effects of Marine Reserve Creation in Single Species and Prey-Predator Models
Aleksander \'Cwiszewski, S{\l}awomir Plaskacz
https://arxiv.org/abs/2403.03313

Effects of Marine Reserve Creation in Single Species and Prey-Predator Models
Single species fisheries and prey-predator models with marine protected areas (MPA) are studied. The single species case is considered when the fishing effort is around the species extinction threshold and the influence of implementing MPA on catch quantity are studied. In the prey-predator fishery model, the situation with the fishing effort close to the predator extinction value is considered and the effects of implementing MPA are discussed with the focus on MPA sizes assuring an acceptable …

This https://arxiv.org/abs/2401.13187 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_…

Effects of type Ia supernovae absolute magnitude priors on the Hubble constant value
We systematically explore the influence of the prior of the peak absolute magnitude ($M$) of type Ia supernovae (SNe Ia) on the measurement of the Hubble constant ($H_0$) from SNe Ia observations. We consider five different data-motivated $M$ priors, representing varying levels of dispersion, and assume the spatially-flat $Λ$CDM cosmological model. Different $M$ priors lead to relative changes in the mean values of $H_0$ from 2% to 7%. Loose priors on $M$ yield $H_0$ estimates consistent with …

This https://arxiv.org/abs/2311.06909 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_hept…

A Quantum Mechanical Example for Hodge Theory
On the basis of (i) the discrete and continuous symmetries (and corresponding conserved charges), (ii) the ensuing algebraic structures of the symmetry operators and conserved charges, and (iii) a few basic concepts behind the subject of differential geometry, we show that the celebrated Friedberg-Lee-Pang-Ren (FLPR) quantum mechanical model (describing the motion of a single non-relativistic particle of unit mass under the influence of the general spatial 2D rotationally invariant potential) p…

The influence of silicon on the formation and transformation of corrosion products
Fabio E. Furcas, Shishir Mundra, Barbara Lothenbach, Camelia N. Borca, Thomas Huthwelker, Ueli M. Angst
https://arxiv.org/abs/2402.13003

The influence of silicon on the formation and transformation of corrosion products
Accurate model predictions of corrosion-driven damage in reinforced concrete structures necessitate a comprehensive understanding of the rate of corrosion product formation. Here, we investigate the influence of dissolved Si characteristic of cementitious systems on the rate of corrosion product transformation at alkaline pH. Compared to systems aged in the absence of Si, small amounts of Si retard the formation rate of the thermodynamically stable corrosion product goethite by a factor of 10. …

Political Pandering and Bureaucratic Influence
Simon Lodato, Christos Mavridis, Federico Vaccari
https://arxiv.org/abs/2402.17526 https://

Political Pandering and Bureaucratic Influence
This paper examines the impact of bureaucracy on policy implementation in environments where electoral incentives generate pandering. A two-period model is developed to analyze the interactions between politicians and bureaucrats, who are categorized as either aligned -- sharing the voters' preferences over policies -- or intent on enacting policies that favor elite groups. The findings reveal equilibria in which aligned politicians resort to pandering, whereas aligned bureaucrats either suppor…

Enhancement of bubble transport in porous electrodes and catalysts
Thomas Scheel, Paolo Malgaretti, Jens Harting
https://arxiv.org/abs/2403.00581 https://<…

Enhancement of bubble transport in porous electrodes and catalysts
We investigate the formation and transport of gas bubbles across a model porous catalyst/electrode using lattice Boltzmann simulations. This approach enables us to systematically examine the influence of a wide range of morphologies, flow velocities, and reaction rates on the efficiency of gas production. By exploring these parameters, we identify critical parameter combinations that significantly contribute to an enhanced yield of gas output. Our simulations reveal the existence of an optimal …

This https://arxiv.org/abs/2404.11403 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_nli…

Six decades of the FitzHugh-Nagumo model: A guide through its spatio-temporal dynamics and influence across disciplines
The FitzHugh-Nagumo equation, originally conceived in neuroscience during the 1960s, became a key model providing a simplified view of excitable neuron cell behavior. Its applicability, however, extends beyond neuroscience into fields like cardiac physiology, cell division, population dynamics, electronics, and other natural phenomena. In this review spanning six decades of research, we discuss the diverse spatio-temporal dynamical behaviors described by the FitzHugh-Nagumo equation. These incl…

A simple model of global cascades on random hypergraphs
Lei Chen, Yanpeng Zhu, Zhongyuan Ruan, Run-Ran Liu, Fanyuan Meng
https://arxiv.org/abs/2402.18850 h…

A simple model of global cascades on random hypergraphs
This study investigates the dynamics of social contagion within hypergraphs, reflecting the modern intricacies of group influence on individual decision-making as magnified by social media platforms. We introduce a novel social contagion model that captures the nuanced interplay between individual caution in decision-making (\(ϕ_k\)) and the efficiency of information transmission within group interactions (\(ϕ_m\)). By integrating dual-threshold mechanisms, our model delineates the conditions…

This https://arxiv.org/abs/2307.00063 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_grqc_…

The chaotic behavior of the Bianchi IX model under the influence of quantum effects
A quantum analysis of the vacuum Bianchi IX model is performed, focusing in particular on the chaotic nature of the system. The framework constructed here is general enough for the results to apply in the context of any theory of quantum gravity, since it includes only minimal approximations that make it possible to encode the information of all quantum degrees of freedom in the fluctuations of the usual anisotropy parameters. These fluctuations are described as canonical variables that extend …

This https://arxiv.org/abs/2402.19320 has been replaced.
initial toot: https://mastoxiv.page/@ar…

Electron-correlated study of excited states and absorption spectra of some low-symmetry graphene quantum dots
We have computed the linear optical absorption spectra of three graphene quantum dots (GQDs), saturated by hydrogens on the edges, using both first-principles time-dependent density-functional theory (TDDFT) and the Pariser-Parr-Pople (PPP) model coupled with the configuration-interaction (CI) approach. To understand the influence of electron-correlation effects, we have also calculated the singlet-triplet energy gap (spin gap) of the three GQDs. Because of the presence of edge hydrogens, these…

A Fine-tuning Enhanced RAG System with Quantized Influence Measure as AI Judge
Keshav Rangan, Yiqiao Yin
https://arxiv.org/abs/2402.17081 https://

A Fine-tuning Enhanced RAG System with Quantized Influence Measure as AI Judge
This study presents an innovative enhancement to retrieval-augmented generation (RAG) systems by seamlessly integrating fine-tuned large language models (LLMs) with vector databases. This integration capitalizes on the combined strengths of structured data retrieval and the nuanced comprehension provided by advanced LLMs. Central to our approach are the LoRA and QLoRA methodologies, which stand at the forefront of model refinement through parameter-efficient fine-tuning and memory optimization.…

Non-extensive Effects on the QCD Equation of State and Fluctuations of Conserved Charges within Polyakov Quark Meson Model
Abdel Magied Diab
https://arxiv.org/abs/2404.06673

Non-extensive Effects on the QCD Equation of State and Fluctuations of Conserved Charges within Polyakov Quark Meson Model
The influence of non-extensive Tsallis statistics on the hadron phase structure has been investigated using the Polyakov-quark-meson (PQM) model. The analysis examines the non-extensive effects on the temperature dependence of PQM order parameters, thermodynamic quantities related to the QCD equation of state, and fluctuations of conserved charges at varying chemical potentials. The results show that non-extensive effects have the most significant deviations near the crossover region. The pseud…

Onset of Air Entrainment by a smooth plunging jet under atmospheric pressure
Alain Cartellier, Juan Lasheras
https://arxiv.org/abs/2402.17571 https://

Onset of Air Entrainment by a smooth plunging jet under atmospheric pressure
The onset of air entrainment by a smooth vertical liquid jet impacting a pool of the same liquid has been experimentally determined. The ranges of parameters covered complement those considered by Lin & Donnelly (1969). The influence of the jet curvature is clarified. A model based on the viscous stress acting on the interface proves to be in good agreement with the experiments in the limit of very viscous liquids. For less viscous liquids, the critical capillary number happens to be mainly con…

Phase Transitions in Ising models: the Semi-infinite with decaying field and the Random Field Long-range
Jo\~ao Maia
https://arxiv.org/abs/2403.04921 https…

Phase Transitions in Ising models: the Semi-infinite with decaying field and the Random Field Long-range
In this thesis, we present results on phase transition for two models: the semi-infinite Ising model with a decaying field, and the long-range Ising model with a random field. We study the semi-infinite Ising model with an external field $h_i = λ|i_d|^{-δ}$, $λ$ is the wall influence, and $δ>0$. This external field decays as it gets further away from the wall. We are able to show that when $δ>1$ and $β> β_c(d)$, there exists a critical value $0< λ_c:=λ_c(δ,β)$ such that, fo…

Resistant Inference in Instrumental Variable Models
Jens Klooster, Mikhail Zhelonkin
https://arxiv.org/abs/2403.16844 https://arxiv.o…

Resistant Inference in Instrumental Variable Models
The classical tests in the instrumental variable model can behave arbitrarily if the data is contaminated. For instance, one outlying observation can be enough to change the outcome of a test. We develop a framework to construct testing procedures that are robust to weak instruments, outliers and heavy-tailed errors in the instrumental variable model. The framework is constructed upon M-estimators. By deriving the influence functions of the classical weak instrument robust tests, such as the An…

Double Robust Variance Estimation
Bonnie E. Shook-Sa, Paul N. Zivich, Chanhwa Lee, Keyi Xue, Rachael K. Ross, Jessie K. Edwards, Jeffrey S. A. Stringer, Stephen R. Cole
https://arxiv.org/abs/2404.16166

Double Robust Variance Estimation
Doubly robust estimators have gained popularity in the field of causal inference due to their ability to provide consistent point estimates when either an outcome or exposure model is correctly specified. However, the influence function based variance estimator frequently used with doubly robust estimators is only consistent when both the outcome and exposure models are correctly specified. Here, use of M-estimation and the empirical sandwich variance estimator for doubly robust point and varia…

Assessing the Impact of Nuclear Mass Models on the Prediction of Synthesis Cross Sections for Superheavy Elements
Chang Geng, Peng-Hui Chen, Fei Niu, Zu-Xing Yang, Xiang-Hua Zeng, Zhao-Qing Feng
https://arxiv.org/abs/2402.15304

Assessing the Impact of Nuclear Mass Models on the Prediction of Synthesis Cross Sections for Superheavy Elements
Within the framework of the dinuclear system model, this study delves into the impact of various nuclear mass models on evaluating the fusion probability of superheavy nuclei. Nuclear mass models, as crucial inputs to the DNS model, exhibit slight variations in binding energy, quadrupole deformation, and extrapolation ability; these subtle differences can significantly influence the model's outcomes. Specifically, the study finds that nuclear mass plays a pivotal role in determining fusion prob…

Zero-shot cross-lingual transfer in instruction tuning of large language model
Nadezhda Chirkova, Vassilina Nikoulina
https://arxiv.org/abs/2402.14778 http…

Zero-shot cross-lingual transfer in instruction tuning of large language model
Instruction tuning (IT) is widely used to teach pretrained large language models (LLMs) to follow arbitrary instructions, but is under-studied in multilingual settings. In this work, we conduct a systematic study of zero-shot cross-lingual transfer in IT, when an LLM is instruction-tuned on English-only data and then tested on user prompts in other languages. We investigate the influence of model configuration choices and devise a multi-facet evaluation strategy for multilingual instruction fol…

This https://arxiv.org/abs/2311.02014 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_mat…

Bi-Level-Based Inverse Stochastic Optimal Control
In this paper, we propose a new algorithm to solve the Inverse Stochastic Optimal Control (ISOC) problem of the linear-quadratic sensorimotor (LQS) control model. The LQS model represents the current state-of-the-art in describing goal-directed human movements. The ISOC problem aims at determining the cost function and noise scaling matrices of the LQS model from measurement data since both parameter types influence the statistical moments predicted by the model and are unknown in practice. We …

Phase-space analysis of a two-section InP laser as an all-optical spiking neuron: dependency on control and design parameters
Lukas Puts, Daan Lenstra, Kevin Williams, Weiming Yao
https://arxiv.org/abs/2404.12771

Phase-space analysis of a two-section InP laser as an all-optical spiking neuron: dependency on control and design parameters
Using a rate-equation model we numerically evaluate the carrier concentration and photon number in an integrated two-section semiconductor laser, and analyse its dynamics in three-dimensional phase space. The simulation comprises compact model descriptions extracted from a commercially-available generic InP technology platform, allowing us to model an applied reverse-bias voltage to the saturable absorber. We use the model to study the influence of the injected gain current, reverse-bias voltag…

This https://arxiv.org/abs/2312.12568 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csAI_…

Scaling Opponent Shaping to High Dimensional Games
In multi-agent settings with mixed incentives, methods developed for zero-sum games have been shown to lead to detrimental outcomes. To address this issue, opponent shaping (OS) methods explicitly learn to influence the learning dynamics of co-players and empirically lead to improved individual and collective outcomes. However, OS methods have only been evaluated in low-dimensional environments due to the challenges associated with estimating higher-order derivatives or scaling model-free meta-…

This https://arxiv.org/abs/2401.01347 has been replaced.
initial toot: https://mastoxiv.page/@arX…

Convex Regions of Opinion Dynamics, Approaches to the Complexity of Binary Consensus with Reference to Addiction and Obliviousness: Integrated Dimer Model Perspective
The field of opinion dynamics has its roots in early research that applied methods from magnetic physics to gain insights into the formation of social opinions. A central challenge in this field lies in modeling how diverse opinions coexist and exert influence on each other. In the realm of social issues, it's In this study, we leverage the dimer construct and the dimer model to establish a theoretical framework. Through numerical simulations, we demonstrate how this proposed model can be appli…

The effect of cloudy atmospheres on the thermal evolution of warm giant planets from an interior modelling perspective
Anna Julia Poser, Ronald Redmer
https://arxiv.org/abs/2402.19466

The effect of cloudy atmospheres on the thermal evolution of warm giant planets from an interior modelling perspective
We are interested in the influence of cloudy atmospheres on the thermal radius evolution of warm exoplanets from an interior modelling perspective. By applying a physically motivated but simple parameterized cloud model, we obtain the atmospheric $P$-$T$ structure that is connected to the adiabatic interior at the self-consistently calculated radiative-convective boundary. We investigate the impact of cloud gradients, with the possibility of inhibiting superadiabatic clouds. Furthermore, we exp…

This https://arxiv.org/abs/2401.10519 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_ees…

A Wind-Aware Path Planning Method for UAV-Asisted Bridge Inspection
In response to the gap in considering wind conditions in the bridge inspection using unmanned aerial vehicle (UAV) , this paper proposes a path planning method for UAVs that takes into account the influence of wind, based on the simulated annealing algorithm. The algorithm considers the wind factors, including the influence of different wind speeds and directions at the same time on the path planning of the UAV. Firstly, An environment model is constructed specifically for UAV bridge inspection…

This https://arxiv.org/abs/2311.06909 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_hept…

A Quantum Mechanical Example for Hodge Theory
On the basis of (i) the discrete and continuous symmetries (and corresponding conserved charges), (ii) the ensuing algebraic structures of the symmetry operators and conserved charges, and (iii) a few basic concepts behind the subject of differential geometry, we show that the celebrated Friedberg-Lee-Pang-Ren (FLPR) quantum mechanical model (describing the motion of a single non-relativistic particle of unit mass under the influence of the general spatial 2D rotationally invariant potential) p…

Bondi-Hoyle-Lyttleton Accretion around the Rotating Hairy Horndeski Black Hole
Orhan Donmez
https://arxiv.org/abs/2402.16707 https://…

Bondi-Hoyle-Lyttleton Accretion around the Rotating Hairy Horndeski Black Hole
We model the dynamical changes of the disk and shock cone resulting from the interaction of matter with the Horndeski black hole, at where the scalar field and spacetime has a strong interaction. The effects of the scalar hair, the black hole rotation parameter, and the impacts of the asymptotic speed have been examined, revealing the influence of these parameters on the shock cone and the trapped QPO modes within the cone. Numerical calculations have shown that the hair paramete significantly …

Identifying the ground state phases by spin-patterns in the Shastry-Sutherland model
Yun-Tong Yang, Fu-Zhou Chen, Hong-Gang Luo
https://arxiv.org/abs/2404.16330

Identifying the ground state phases by spin-patterns in the Shastry-Sutherland model
Exploring the influence of frustration on the phases and related phase transitions in condensed matter physics is of fundamental importance in uncovering the role played by frustration. In the two-dimensional square lattice, a minimal frustration has been formulated in 1981 as the Shastry-Sutherland (SS) model described by competitions between the nearest-neighbor bond ($J_1$) and the next-nearest-neighbor one ($J_2$). In the two limits of $α=J_2/J_1$, i.e. $α\ll 1$ and $α\gg 1$, the corresp…

Characterizing Role Models in Software Practitioners' Career: An Interview Study
Mary S\'anchez-Gord\'on, Ricardo Colomo-Palacios, Alex Sanchez Gordon
https://arxiv.org/abs/2402.09925

Characterizing Role Models in Software Practitioners' Career: An Interview Study
A role model is a person who serves as an example for others to follow, especially in terms of values, behavior, achievements, and personal characteristics. In this paper, authors study how role models influence software practitioners careers, an aspect not studied in the literature before. By means of this study, authors aim to understand if there are any salient role model archetypes and what characteristics are valued by participants in their role models. To do so, authors use a thematic cod…

Points defects produced by irradiation: influence of boundary conditions on their biased elimination
Jean-louis Bocquet
https://arxiv.org/abs/2403.17569 ht…

Points defects produced by irradiation: influence of boundary conditions on their biased elimination
Most of the sinks able to absorb the point defects created under irradiation exhibit a stronger elastic interaction with the interstitial defect I than with the vacancy defect V. This bias of their elastic interaction (EB) is supposed to automatically determine the concomitant absorption bias (AB) leading to an elimination flux of I always larger than the flux of V. We show in this contribution that the link between the EB and the AB is not as rigid as thought previously. On a model system we c…

Influence of the cosmological constant on $\kappa$-deformed Neutron Star
Bhagya. R, Diganta Parai, Harsha Sreekumar, Suman Kumar Panja
https://arxiv.org/abs/2404.08381

Influence of the cosmological constant on $κ$-deformed Neutron Star
We study a model of the neutron star in $κ$-deformed space-time in the presence of the cosmological constant ($Λ$). The Einstein tensor and the energy-momentum tensor are generalized to $κ$-deformed space-time and we construct the field equations with the cosmological constant. Considering the interior of the star to be a perfect fluid as in the commutative case, we find the Tolman-Oppenheimer-Volkoff equations with the inclusion of the cosmological constant in $κ$-deformed space-time. The …

Dynamical phase transitions in $XY$ model: a Monte Carlo and mean-field theory study
Mainak Pal, William D. Baez, Pushan Majumdar, Arnab Sen, Trinanjan Datta
https://arxiv.org/abs/2402.07505

Dynamical phase transitions in $XY$ model: a Monte Carlo and mean-field theory study
We investigate the dynamical phases and phase transitions arising in a classical two-dimensional anisotropic $XY$ model under the influence of a periodically driven temporal external magnetic field. We use a combination of finite temperature classical Monte Carlo simulation, implemented within a CPU + GPU paradigm, utilizing local dynamics provided by the Glauber algorithm and a phenomenological mean-field equation-of-motion approach to study the model. We investigate several parameter regimes …

This https://arxiv.org/abs/2209.11743 has been replaced.
link: https://scholar.google.com/scholar?q=a

Universal behavior of highly-confined heat flow in semiconductor nanosystems: from nanomeshes to metalattices
Nanostructuring on length scales corresponding to phonon mean free paths provides control over heat flow in semiconductors and makes it possible to engineer their thermal properties. However, the influence of boundaries limits the validity of bulk models, while first principles calculations are too computationally expensive to model real devices. Here we use extreme ultraviolet beams to study phonon transport dynamics in a 3D nanostructured silicon metalattice with deep nanoscale feature size, …

This https://arxiv.org/abs/2307.08525 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_mat…

Robust Combinatorial Optimization Problems Under Budgeted Interdiction Uncertainty
In robust combinatorial optimization, we would like to find a solution that performs well under all realizations of an uncertainty set of possible parameter values. How we model this uncertainty set has a decisive influence on the complexity of the corresponding robust problem. For this reason, budgeted uncertainty sets are often studied, as they enable us to decompose the robust problem into easier subproblems. We propose a variant of discrete budgeted uncertainty for cardinality-based constra…

Description of the processes $e^ e^- \to K^ K^-\pi^0$ and $e^ e^- \to K^ K^-\eta$ within the extended NJL model
M. K. Volkov, A. A. Pivovarov, K. Nurlan
https://arxiv.org/abs/2404.06329

Description of the processes $e^+e^- \to K^+K^-π^0$ and $e^+e^- \to K^+K^-η$ within the extended NJL model
In the framework of the $U(3) \times U(3)$ extended Nambu-Jona-Lasinio model, the processes $e^+e^- \to K^+K^-π^0$ and $e^+e^- \to K^+K^-η$ are described taking into account both ground and first radially excited intermediate meson states. It is shown that channels with radially excited $ϕ(1680)$ meson are dominant in both processes. The influence on the results of the appearance of phase factors of radially excited intermediate states, the existence of which is indicated by experimental dat…

This https://arxiv.org/abs/2404.07537 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csCV_…

How is Visual Attention Influenced by Text Guidance? Database and Model
The analysis and prediction of visual attention have long been crucial tasks in the fields of computer vision and image processing. In practical applications, images are generally accompanied by various text descriptions, however, few studies have explored the influence of text descriptions on visual attention, let alone developed visual saliency prediction models considering text guidance. In this paper, we conduct a comprehensive study on text-guided image saliency (TIS) from both subjective …

This https://arxiv.org/abs/2307.07778 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_…

Discreteness effects in $N$-body simulations of warm dark matter
In cosmological $N$-body simulations of warm dark matter, thermal velocities of dark-matter particles are sometimes taken into account by adding random initial velocities to the particles of simulation. However, a particle in the $N$-body system represents a huge collection of dark-matter particles, whose average thermal velocity is very close to zero. We consider justification of the procedure of adding thermal velocities in $N$-body simulations and build a simple model of their influence on t…

Investigating model influence on the analytical resolution of neutron reflectometry
Nicolas Shiaelis, Luke A. Clifton, Andrew R. McCluskey
https://arxiv.org/abs/2403.13566

Investigating model influence on the analytical resolution of neutron reflectometry
Neutron reflectometry is a critical tool for investigating the structure of thin films and interfaces. However, the misapplication of the Born approximation to reflection geometry leads some to assume that the minimum thickness that may be probed by neutron reflectometry is limited by the Q-range of the measurement. In this study, we use model-dependent analysis, multiple isotopic contrasts, and magnetic spin states, to show that it is possible to resolve structures significantly smaller than t…

BIRCO: A Benchmark of Information Retrieval Tasks with Complex Objectives
Xiaoyue Wang, Jianyou Wang, Weili Cao, Kaicheng Wang, Ramamohan Paturi, Leon Bergen
https://arxiv.org/abs/2402.14151

BIRCO: A Benchmark of Information Retrieval Tasks with Complex Objectives
We present the Benchmark of Information Retrieval (IR) tasks with Complex Objectives (BIRCO). BIRCO evaluates the ability of IR systems to retrieve documents given multi-faceted user objectives. The benchmark's complexity and compact size make it suitable for evaluating large language model (LLM)-based information retrieval systems. We present a modular framework for investigating factors that may influence LLM performance on retrieval tasks, and identify a simple baseline model which matches o…

This https://arxiv.org/abs/2402.13950 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csCL_…

Making Reasoning Matter: Measuring and Improving Faithfulness of Chain-of-Thought Reasoning
Large language models (LLMs) have been shown to perform better when asked to reason step-by-step before answering a question. However, it is unclear to what degree the model's final answer is faithful to the stated reasoning steps. In this paper, we perform a causal mediation analysis on twelve LLMs to examine how intermediate reasoning steps generated by the LLM influence the final outcome and find that LLMs do not reliably use their intermediate reasoning steps when generating an answer. To a…

L\'evy noise-induced coherence resonance in the FitzHugh-Nagumo oscillator: numerical study versus experiment
Ivan Korneev, Anna Zakharova, Vladimir V. Semenov
https://arxiv.org/abs/2402.19426

Lévy noise-induced coherence resonance in the FitzHugh-Nagumo oscillator: numerical study versus experiment
Using a model of the FitzHugh-Nagumo oscillator in the excitable regime, we investigate the influence of the Lévy noise's properties on the effect of coherence resonance. In particular, we demonstrate that the Lévy noise can be a constructive or destructive factor providing for enhancement or suppression of noise-induced coherence. We show that the positive or negative role of the Lévy noise impact is dictated by the noise's stability index and skewness parameter. The correlation time and th…

Six decades of the FitzHugh-Nagumo model: A guide through its spatio-temporal dynamics and influence across disciplines
Daniel Cebr\'ian-Lacasa, Pedro Parra-Rivas, Daniel Ruiz-Reyn\'es, Lendert Gelens
https://arxiv.org/abs/2404.11403

Six decades of the FitzHugh-Nagumo model: A guide through its spatio-temporal dynamics and influence across disciplines
The FitzHugh-Nagumo equation, originally conceived in neuroscience during the 1960s, became a key model providing a simplified view of excitable neuron cell behavior. Its applicability, however, extends beyond neuroscience into fields like cardiac physiology, cell division, population dynamics, electronics, and other natural phenomena. In this review spanning six decades of research, we discuss the diverse spatio-temporal dynamical behaviors described by the FitzHugh-Nagumo equation. These incl…

RA-ICM: A Novel Independent Cascade Model Incorporating User Relationships and Attitudes
Xinyu Li, Yutong Guo, Jixuan He, Jiacheng Zhao, Chenwei Wang
https://arxiv.org/abs/2403.06385

RA-ICM: A Novel Independent Cascade Model Incorporating User Relationships and Attitudes
The rapid development of social networks has a wide range of social effects, which facilitates the study of social issues. Accurately forecasting the information propagation process within social networks is crucial for promptly understanding the event direction and effectively addressing social problems in a scientific manner. The relationships between non-adjacent users and the attitudes of users significantly influence the information propagation process within social networks. However, exis…

Interaction as Explanation: A User Interaction-based Method for Explaining Image Classification Models
Hyeonggeun Yun
https://arxiv.org/abs/2404.09828 http…

Interaction as Explanation: A User Interaction-based Method for Explaining Image Classification Models
In computer vision, explainable AI (xAI) methods seek to mitigate the 'black-box' problem by making the decision-making process of deep learning models more interpretable and transparent. Traditional xAI methods concentrate on visualizing input features that influence model predictions, providing insights primarily suited for experts. In this work, we present an interaction-based xAI method that enhances user comprehension of image classification models through their interaction. Thus, we devel…

Dynamical phase transitions in $XY$ model: a Monte Carlo and mean-field theory study
Mainak Pal, William D. Baez, Pushan Majumdar, Arnab Sen, Trinanjan Datta
https://arxiv.org/abs/2402.07505

Dynamical phase transitions in $XY$ model: a Monte Carlo and mean-field theory study
We investigate the dynamical phases and phase transitions arising in a classical two-dimensional anisotropic $XY$ model under the influence of a periodically driven temporal external magnetic field. We use a combination of finite temperature classical Monte Carlo simulation, implemented within a CPU + GPU paradigm, utilizing local dynamics provided by the Glauber algorithm and a phenomenological mean-field equation-of-motion approach to study the model. We investigate several parameter regimes …

Multi-agent Reinforcement Traffic Signal Control based on Interpretable Influence Mechanism and Biased ReLU Approximation
Zhiyue Luo, Jun Xu, Fanglin Chen
https://arxiv.org/abs/2403.13639

Multi-agent Reinforcement Traffic Signal Control based on Interpretable Influence Mechanism and Biased ReLU Approximation
Traffic signal control is important in intelligent transportation system, of which cooperative control is difficult to realize but yet vital. Many methods model multi-intersection traffic networks as grids and address the problem using multi-agent reinforcement learning (RL). Despite these existing studies, there is an opportunity to further enhance our understanding of the connectivity and globality of the traffic networks by capturing the spatiotemporal traffic information with efficient neur…

This https://arxiv.org/abs/2302.02983 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_grqc_…

Finslerian wormhole solution in the framework of modified gravity
This article investigates the properties of a wormhole model in a specific gravity theory, namely $f(Ric, T)=Ric+2λT$. The wormhole solution is analyzed using an exponential shape function. The study examines various parameters, such as density, radial pressure, transverse pressure, equation-of-state parameters, and energy conditions, within the framework of deformed gravity. The research emphasizes the influence of the parameter $λ$ on energy condition violations and the equilibrium state of…

Specification and Enforcement of Activity Dependency Policies using XACML
Tanjila Mawla, Maanak Gupta, Ravi Sandhu
https://arxiv.org/abs/2403.10092 https:/…

Specification and Enforcement of Activity Dependency Policies using XACML
The evolving smart and interconnected systems are designed to operate with minimal human intervention. Devices within these smart systems often engage in prolonged operations based on sensor data and contextual factors. Recently, an Activity-Centric Access Control (ACAC) model has been introduced to regulate these prolonged operations, referred to as activities, which undergo state changes over extended duration of time. Dependencies among different activities can influence and restrict the exe…

Discrete slip plane analysis of ferrite microtensile tests: On the influence of dislocation source distribution and non-Schmid effects on slip system activity
J. Wijnen, J. P. M. Hoefnagels, M. G. D. Geers, R. H. J. Peerlings
https://arxiv.org/abs/2402.14168

Discrete slip plane analysis of ferrite microtensile tests: On the influence of dislocation source distribution and non-Schmid effects on slip system activity
The slip system activity in microtensile tests of ferrite single crystals is compared with predictions made by the discrete slip plane model proposed by Wijnen et al. (International Journal of Solids and Structures 228, 111094, 2021). This is an extension of conventional crystal plasticity in which the stochastics and physics of dislocation sources are taken into account in a discrete slip band. This results in discrete slip traces and non-deterministic mechanical behavior, similar to what is o…

Impacts of Energetic Particles from T Tauri Flares on Inner Protoplanetary Discs
Valentin Brunn, Christian Rab, Alexandre Marcowith, Christophe Sauty, Marco Padovani, Chadi Meskini
https://arxiv.org/abs/2404.16459

Impacts of Energetic Particles from T Tauri Flares on Inner Protoplanetary Discs
T Tauri stars are known to be magnetically active stars subject to strong flares observed in X-rays. These flares are likely due to intense magnetic reconnection events during which a part of the stored magnetic energy is converted into kinetic energy of supra-thermal particles. Since T Tauri stars are surrounded by an accretion disc, these particles may influence the disc dynamics and chemistry. This work continues on a previous stationary model, which showed that energetic particles accelerat…

Mean Field Game Approach to Non-Pharmaceutical Interventions in a Social Structure model of Epidemics
Louis Bremaud, Olivier Giraud, Denis Ullmo
https://arxiv.org/abs/2404.08758 <…

Mean Field Game Approach to Non-Pharmaceutical Interventions in a Social Structure model of Epidemics
The design of coherent and efficient policies to address infectious diseases and their consequences requires to model not only epidemics dynamics, but also individual behaviors, as the latter has a strong influence on the former. In our work, we provide a theoretical model for this problem, taking into account the social structure of a population. This model is based on a Mean Field Game version of a SIR compartmental model, in which individuals are grouped by their age class and interact toget…

Diffusion Model-based Probabilistic Downscaling for 180-year East Asian Climate Reconstruction
Fenghua Ling, Zeyu Lu, Jing-Jia Luo, Lei Bai, Swadhin K. Behera, Dachao Jin, Baoxiang Pan, Huidong Jiang, Toshio Yamagata
https://arxiv.org/abs/2402.06646

Diffusion Model-based Probabilistic Downscaling for 180-year East Asian Climate Reconstruction
As our planet is entering into the "global boiling" era, understanding regional climate change becomes imperative. Effective downscaling methods that provide localized insights are crucial for this target. Traditional approaches, including computationally-demanding regional dynamical models or statistical downscaling frameworks, are often susceptible to the influence of downscaling uncertainty. Here, we address these limitations by introducing a diffusion probabilistic downscaling model (DPDM) …

Building Defect Prediction Models by Online Learning Considering Defect Overlooking
Nikolay Fedorov, Yuta Yamasaki, Masateru Tsunoda, Akito Monden, Amjed Tahir, Kwabena Ebo Bennin, Koji Toda, Keitaro Nakasai
https://arxiv.org/abs/2404.11033

Building Defect Prediction Models by Online Learning Considering Defect Overlooking
Building defect prediction models based on online learning can enhance prediction accuracy. It continuously rebuilds a new prediction model, when a new data point is added. However, a module predicted as "non-defective" can result in fewer test cases for such modules. Thus, a defective module can be overlooked during testing. The erroneous test results are used as learning data by online learning, which could negatively affect prediction accuracy. To suppress the negative influence, we propose …

This https://arxiv.org/abs/2402.18336 has been replaced.
initial toot: https://mastoxiv.page/@a…

Phase diagrams and polarization reversal in nanosized Hf$_x$Zr$_{1-x}$O$_{2-y}$
To describe the polar properties of the nanosized HfxZr1-xO2-y, we evolve the "effective" Landau-Ginzburg-Devonshire (LGD) model based on the parametrization of the Landau expansion coefficients for the polar and antipolar orderings. We have shown that the effective LGD model can predict the influence of screening conditions and size effects on phase diagrams, polarization reversal and structural properties of the nanosized HfxZr1-xO2-y of various shape and sizes. To verify the model, we use av…

This https://arxiv.org/abs/2403.13592 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csCL_…

Llama meets EU: Investigating the European Political Spectrum through the Lens of LLMs
Instruction-finetuned Large Language Models inherit clear political leanings that have been shown to influence downstream task performance. We expand this line of research beyond the two-party system in the US and audit Llama Chat in the context of EU politics in various settings to analyze the model's political knowledge and its ability to reason in context. We adapt, i.e., further fine-tune, Llama Chat on speeches of individual euro-parties from debates in the European Parliament to reevaluat…

This https://arxiv.org/abs/2304.04931 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_hepp…

Investigation of the scalar unparticle and anomalous couplings at muon colliders in final states with multiple photons in the Randall- Sundrum model
The influence of the scalar unparticle and anomalous couplings at muon colliders in final states with multiple photons in the Randall-Sundrum model is evaluated in detail. The results indicate that with fixed collision energies, the total cross-sections for the production of multiple photons depend strongly on the polarization of the muon beams, the parameters of unparticle physics (the scaling dimension $d_{U}$, operator $\mathcal{O}_{U}$, the energy scale $Λ_{U}$) and also the strength of an…

An Analysis of the Evolution Equations for a Generalized Bioconvective Flow
J. L. Boldrini, B. Climent-Ezquerra, M. A. Rojas-Medar, M. D. Rojas-Medar
https://arxiv.org/abs/2402.15210

An Analysis of the Evolution Equations for a Generalized Bioconvective Flow
We prove results on existence and uniqueness of solutions of a system of equations modeling the evolution of a generalized bioconvective flow. The mathematical model considered in the present work describes the convective motion generated by the upward swimming of a culture of microorganisms under the influence of vertical gravitational forces, in an incompressible viscous fluid whose viscosity may depend on the concentration of microorganisms.

An Exactly Solvable Model for Single-Lane Unidirectional Ant Traffic
Ngo Phuoc Nguyen Ngoc, Huynh Anh Thi, Nguyen Van Vinh
https://arxiv.org/abs/2403.07267

An Exactly Solvable Model for Single-Lane Unidirectional Ant Traffic
In 2002, Chowdhury et al. introduced a simplified model aimed at depicting the dynamics of single-lane unidirectional ant traffic. Despite efforts, an exact solution for the stationary state of this ant-trail model remains elusive. The primary challenge arises from inherent fluctuations in the total amount of pheromone along the ant-trail. These fluctuations significantly influence ant movement. Consequently, unlike conventional models involving driven interacting particles, the average velocit…

This https://arxiv.org/abs/2403.00581 has been replaced.
initial toot: https://mastoxiv.page/@arXi…

Enhancement of bubble transport in porous electrodes and catalysts
We investigate the formation and transport of gas bubbles across a model porous catalyst/electrode using lattice Boltzmann simulations. This approach enables us to systematically examine the influence of a wide range of morphologies, flow velocities, and reaction rates on the efficiency of gas production. By exploring these parameters, we identify critical parameter combinations that significantly contribute to an enhanced yield of gas output. Our simulations reveal the existence of an optimal …

The Effect of Pulsar Geometry on the Observed Gamma-ray Spectrum of Millisecond Pulsars
Sheridan J. Lloyd, Paula M. Chadwick, Anthony M. Brown
https://arxiv.org/abs/2404.10872

The Effect of Pulsar Geometry on the Observed Gamma-ray Spectrum of Millisecond Pulsars
We analyse 13 yrs of $\textit{Fermi}$-LAT PASS 8 events from 127 gamma-ray emitting millisecond pulsars (MSPs) in the energy range 0.1$-$100 GeV and significantly detect 118 MSPs. We fit the stacked emission with a log parabola (LP) spectral model which we show is preferred to two previously published models. We consider the influence of pulsar properties and observer geometric effects on spectral features by defining energy flux colours for both the individual MSPs, and our stacked model as a …

The Effect of Pulsar Geometry on the Observed Gamma-ray Spectrum of Millisecond Pulsars
Sheridan J. Lloyd, Paula M. Chadwick, Anthony M. Brown
https://arxiv.org/abs/2404.10872

The Effect of Pulsar Geometry on the Observed Gamma-ray Spectrum of Millisecond Pulsars
We analyse 13 yrs of $\textit{Fermi}$-LAT PASS 8 events from 127 gamma-ray emitting millisecond pulsars (MSPs) in the energy range 0.1$-$100 GeV and significantly detect 118 MSPs. We fit the stacked emission with a log parabola (LP) spectral model which we show is preferred to two previously published models. We consider the influence of pulsar properties and observer geometric effects on spectral features by defining energy flux colours for both the individual MSPs, and our stacked model as a …

This https://arxiv.org/abs/2303.07398 has been replaced.
initial toot: https://mastoxiv.page/@…

Influence of Entropy Changes on First Passage Time in the Thermodynamics of trajectories
For thermodynamics of trajectories, an ensemble containing dynamical activity and first-passage time (FPT) random variables is considered. The dependence of the average FPT on the total non-negative change in entropy is obtained. The same dependencies obtained for dynamic activity, dispersion of dynamic activity and FPT, as well as for the correlation of dynamic activity and FPT. Application of the obtained results to model systems makes it possible to obtain dependences of entropy changes cont…