Tootfinder

Reactive Users vs. Recommendation Systems: An Adaptive Policy to Manage Opinion Drifts
Atefeh Mollabagher, Parinaz Naghizadeh
https://arxiv.org/abs/2508.13473 https://

Reactive Users vs. Recommendation Systems: An Adaptive Policy to Manage Opinion Drifts
Recommendation systems are used in a range of platforms to maximize user engagement through personalization and the promotion of popular content. It has been found that such recommendations may shape users' opinions over time. In this paper, we ask whether reactive users, who are cognizant of the influence of the content they consume, can prevent such changes by adaptively adjusting their content consumption choices. To this end, we study users' opinion dynamics under two types of stochastic po…

Effect of Magnetic Field on Neutral Bath Containing Charged Brownian Particles
Jana Tothova, Jan Busa, Vladimir Lisy
https://arxiv.org/abs/2508.11782 https://

Effect of Magnetic Field on Neutral Bath Containing Charged Brownian Particles
Based on the Zwanzig-Caldeira-Legget theory generalized to systems under the influence of a static magnetic field, we obtain equations of motion for the Brownian particle (BP) and oscillators constituting the bath in which the BP is embedded. The equations are of the type of a generalized Langevin equation, which accounts for the frictional memory of the system. The BP is assumed to be charged while the bath particles are neutral. They thus do not directly respond to the external field, but the…

Synchronization Dynamics of Heterogeneous, Collaborative Multi-Agent AI Systems
Chiranjit Mitra
https://arxiv.org/abs/2508.12314 https://arxiv.org/pdf/2508…

Synchronization Dynamics of Heterogeneous, Collaborative Multi-Agent AI Systems
We present a novel interdisciplinary framework that bridges synchronization theory and multi-agent AI systems by adapting the Kuramoto model to describe the collective dynamics of heterogeneous AI agents engaged in complex task execution. By representing AI agents as coupled oscillators with both phase and amplitude dynamics, our model captures essential aspects of agent specialization, influence, and communication within networked systems. We introduce an order parameter to quantify the degree…

The Cosmic Dance: Observational Detection of Coherent Spin in Galaxy Clusters
Xiao-xiao Tang, Peng Wang, Yu Rong, Weiguang cui
https://arxiv.org/abs/2508.13597 https://

The Cosmic Dance: Observational Detection of Coherent Spin in Galaxy Clusters
The spin of galaxy clusters encodes key information about their formation, dynamics, and the influence of large-scale structure. However, whether clusters possess statistically significant spin and how to measure it observationally remain open questions. Here, we present the first observational statistical detection of coherent spin in galaxy clusters, by using a sample of 2,170 systems with $M > 10^{14}\, M_\odot$ selected from a publicly available group catalog based on the SDSS galaxy. Clust…

Unitary causal decompositions: a combinatorial characterisation via lattice theory
Tein van der Lugt, Robin Lorenz
https://arxiv.org/abs/2508.11762 https://

Unitary causal decompositions: a combinatorial characterisation via lattice theory
If a unitary transformation has a decomposition into a quantum circuit with no directed path from input $a$ to output $b$, then $a$ does not influence $b$ through the overall unitary. Conversely, it is known that if $a$ does not influence $b$, one may always find a circuit decomposition lacking a path between these systems, thus making the no-influence condition directly apparent in the connectivity of the circuit. Causal decompositions are circuit decompositions in which, more generally, multi…

Assessing the Reliability of LLMs Annotations in the Context of Demographic Bias and Model Explanation
Hadi Mohammadi, Tina Shahedi, Pablo Mosteiro, Massimo Poesio, Ayoub Bagheri, Anastasia Giachanou
https://arxiv.org/abs/2507.13138

Assessing the Reliability of LLMs Annotations in the Context of Demographic Bias and Model Explanation
Understanding the sources of variability in annotations is crucial for developing fair NLP systems, especially for tasks like sexism detection where demographic bias is a concern. This study investigates the extent to which annotator demographic features influence labeling decisions compared to text content. Using a Generalized Linear Mixed Model, we quantify this inf luence, finding that while statistically present, demographic factors account for a minor fraction ( 8%) of the observed varianc…

Heterogeneous Influence Maximization in User Recommendation
Hongru Hou, Jiachen Sun, Wenqing Lin, Wendong Bi, Xiangrong Wang, Deqing Yang
https://arxiv.org/abs/2508.13517 https:…

Heterogeneous Influence Maximization in User Recommendation
User recommendation systems enhance user engagement by encouraging users to act as inviters to interact with other users (invitees), potentially fostering information propagation. Conventional recommendation methods typically focus on modeling interaction willingness. Influence-Maximization (IM) methods focus on identifying a set of users to maximize the information propagation. However, existing methods face two significant challenges. First, recommendation methods fail to unleash the candidat…

Can Hawking effect of multipartite state protect quantum resources in Schwarzschild black hole?
Shu-Min Wu, Xiao-Wei Teng, Hui-Chen Yang, Rui-Yang Xu, P. H. M. Barros, H. A. S. Costa
https://arxiv.org/abs/2509.15002

Can Hawking effect of multipartite state protect quantum resources in Schwarzschild black hole?
Most previous studies on relativistic quantum information have primarily focused on the vacuum state $|0\rangle$ and the first excited state $|1\rangle$ in two-mode entangled systems. In this work, we go beyond these limitations by considering arbitrary $q$-th excited states $|q\rangle$, aiming to investigate their role in preserving quantum resources. We analyze the influence of the Hawking effect on multipartite quantum states in the Schwarzschild spacetime, with particular att…

"""
In the sixteenth century, lunacy was a constant theme that was never questioned. It was still frequent in the seventeenth century, but started to disappear, and by 1707, the year in which Le François asked the question ‘Estne aliquod lunae in corpora humana imperium?’ (Does the moon have any influence over the human body?), after lengthy discussions, the university decided that their reply was in the negative. In the course of the eighteenth century the moon was rarely cited among the causes of madness, even as a possible factor or an aggravation. But right at the end of the century the idea reappears, perhaps under the influence of English medicine, which had never entirely forgotten the moon, and Daquin, followed by Leuret and Guislain, all admitted the influence of the moon on the phases of maniacal excitement, or at the least on the agitation of their patients. But what is important here is not so much the return of the theme as the possibility and conditions necessary for its reappearance. It reappears entirely transformed, filled with a new significance that it did not formerly possess. In its traditional form, it designated an immediate influence, a direct coincidence in time and intersection in space, whose mode of action was entirely situated in the power of the stars. But in Daquin by contrast, the influence of the moon acts through a whole series of mediations, in a kind of hierarchy, surrounding man. The moon acts on the atmosphere with such intensity that it can set in motion a mass as heavy as the ocean. The nervous system, of all the parts that make up the human organism, is the part most sensitive to atmospheric variations, as the slightest variation in temperature, humidity or dryness can have serious effects upon it. The moon therefore, given the important power that its trajectory exerts on the atmosphere, is likely to act most on people whose nervous fibres are particularly delicate:
“Madness is an exclusively nervous condition, and the brain of a madman must therefore be infinitely more susceptible to the influence of the atmosphere, which itself undergoes considerable changes of intensity as a result of the different positions of the moon relative to the earth.” [Daquin, Philosophie de la folie, Paris, 1792]
"""
(Michel Foucault, History of Madness)

Effects of temporal variations on wave speeds of bistable traveling waves for Lotka-Volterra competition systems
Weiwei Ding, Zhanghua Liang
https://arxiv.org/abs/2509.12472 htt…

Effects of temporal variations on wave speeds of bistable traveling waves for Lotka-Volterra competition systems
This paper investigates the bistable traveling waves for two-species Lotka-Volterra competition systems in time periodic environments. We focus especially on the influence of the temporal period, with existence results established for both small and large periods.We also show the existence of, and derive explicit formulas for, the limiting speeds as the period tends to zero or infinity, and provide estimates for the corresponding rates of convergence. Furthermore, we analyze the sign of wave sp…

FACET:Teacher-Centred LLM-Based Multi-Agent Systems-Towards Personalized Educational Worksheets
Jana Gonnermann-M\"uller, Jennifer Haase, Konstantin Fackeldey, Sebastian Pokutta
https://arxiv.org/abs/2508.11401

FACET:Teacher-Centred LLM-Based Multi-Agent Systems-Towards Personalized Educational Worksheets
The increasing heterogeneity of student populations poses significant challenges for teachers, particularly in mathematics education, where cognitive, motivational, and emotional differences strongly influence learning outcomes. While AI-driven personalization tools have emerged, most remain performance-focused, offering limited support for teachers and neglecting broader pedagogical needs. This paper presents the FACET framework, a teacher-facing, large language model (LLM)-based multi-agent s…

The influence of dimensional crossover on phase transitions and critical phenomena in condensed systems
O. V. Chalyi, E. V. Zaitseva
https://arxiv.org/abs/2509.13799 https://

The influence of dimensional crossover on phase transitions and critical phenomena in condensed systems
This article is aimed at studying the effects of the dimensional crossover (DC) on physical properties of condensed systems near phase transition and critical points. Here we consider the following problems: (1) the theoretical provisions that allow to study the effect of spatial confinement on DC near phase transition and critical points; (2) the study of DC in condensed systems with the Ginzburg number $\mathrm{Gi} <1$, where fluctuation effects are described in different ways at the fluctuat…

A triptych on Starhawk, who developed some of the most poignantly insightful ideas in structural theories of power, among the many philosophers, sociologists, and psychologists who wrote about theories of power in the 20th century
Note that the second and third image come from the *same book*, in the first and second chapters
I…did not expect woo poetry on magic and sexuality in a book that's highly cited by writers on theories of power

Network stochastic resonance under higher-order interactions
Zheng Wang, Jinjie Zhu, Xianbin Liu
https://arxiv.org/abs/2509.14796 https://arxiv.org/pdf/250…

Network stochastic resonance under higher-order interactions
Although stochastic resonance phenomena are ubiquitous across various complex systems, the influence mechanisms of higher-order interactions remain elusive. Here, we address this gap by investigating stochastic resonance in coupled phase oscillators with triadic interactions on ring networks that feature periodic modulation of the triadic coupling strength and additive noise. Our analysis reveals that higher-order interactions create fundamentally different resonance landscapes through time-var…

Influence of attractive parts of interaction potentials on critical point parameters
I. V. Pylyuk, O. A. Dobush, M. P. Kozlovskii, R. V. Romanik, M. A. Shpot
https://arxiv.org/abs/2508.09120

Influence of attractive parts of interaction potentials on critical point parameters
We investigate how microscopic features of interparticle potentials influence macroscopic critical point parameters. Our analytical calculations are based on the cell model for continuous many-particle systems. We explore two types of pair interactions described by the Morse potential and a Curie-Weiss-type potential. For Morse fluids, we present numerical results obtained with microscopic parameters corresponding to the alkali metals sodium (Na) and potassium (K). The calculated dimensionless …

Demystifying the Role of Rule-based Detection in AI Systems for Windows Malware Detection
Andrea Ponte, Luca Demetrio, Luca Oneto, Ivan Tesfai Ogbu, Battista Biggio, Fabio Roli
https://arxiv.org/abs/2508.09652

Demystifying the Role of Rule-based Detection in AI Systems for Windows Malware Detection
Malware detection increasingly relies on AI systems that integrate signature-based detection with machine learning. However, these components are typically developed and combined in isolation, missing opportunities to reduce data complexity and strengthen defenses against adversarial EXEmples, carefully crafted programs designed to evade detection. Hence, in this work we investigate the influence that signature-based detection exerts on model training, when they are included inside the training…

Non-Markovian amplitude damping in a central spin model with random couplings
Mehboob Rashid, Rayees A Mala, Saima Bashir, Muzaffar Qadir Lone
https://arxiv.org/abs/2509.12670 h…

Non-Markovian amplitude damping in a central spin model with random couplings
Non-Markovian dynamics is central to quantum information processing, as memory effects strongly influence coherence preservation, metrology, and communication. In this work, we investigate the role of stochastic system--bath couplings in shaping non-Markovian behavior of open quantum systems, using the central spin model within a time-convolutionless master equation framework. We show that the character of the reduced dynamics depends jointly on the intrinsic memory of the environment and on th…

Anomalous Electrical Transport in SnSe$_2$ Nanosheets: Role of Thickness and Surface Defect States
Aarti Lakhara, Lars Thole, Rolf J. Haug, P. A. Bhobe
https://arxiv.org/abs/2509.10228

Anomalous Electrical Transport in SnSe$_2$ Nanosheets: Role of Thickness and Surface Defect States
This work examines the influence of thickness on the electrical transport properties of mechanically exfoliated two-dimensional SnSe$_2$ nanosheets, derived from the bulk single crystal. Contrary to conventional trend observed in two-dimensional systems, we find a semiconducting to metallic resistivity behavior with decreasing thickness. The analysis of low-temperature conduction indicates an increased density of states at Fermi-level with decreasing thickness, which is further corroborated by …

On the Birkhoff conjecture for Kepler billiards
Stefano Baranzini, Vivina L. Barutello, Irene De Blasi, Susanna Terracini
https://arxiv.org/abs/2507.08446 …

On the Birkhoff conjecture for Kepler billiards
We investigate the integrability of Kepler billiards-mechanical billiard systems in which a particle moves under the influence of a Keplerian potential and reflects elastically at the boundary of a strictly convex planar domain. Our main result establishes that, except possibly for one location of the gravitational center, analytic integrability at high energies occurs only when the domain is an ellipse and the center is placed at one of its foci. This provides a partial affirmative answer to a…

Don't Change My View: Ideological Bias Auditing in Large Language Models
Paul Kr\"oger, Emilio Barkett
https://arxiv.org/abs/2509.12652 https://ar…

Don't Change My View: Ideological Bias Auditing in Large Language Models
As large language models (LLMs) become increasingly embedded in products used by millions, their outputs may influence individual beliefs and, cumulatively, shape public opinion. If the behavior of LLMs can be intentionally steered toward specific ideological positions, such as political or religious views, then those who control these systems could gain disproportionate influence over public discourse. Although it remains an open question whether LLMs can reliably be guided toward coherent ide…

The impact of brand equity on vertical integration in franchise systems
Mohammad Kayed, Manish Kacker, Ruhai Wu, Farhad Sadeh
https://arxiv.org/abs/2508.06824 https://

The impact of brand equity on vertical integration in franchise systems
Brand equity and vertical integration are focal, strategic elements of a franchise system that can profoundly influence franchise performance. Despite the recognized importance of these two strategic levers and the longstanding research interest in the topic, our understanding of the interplay between brand equity and vertical integration (company ownership of outlets) in a franchise system remains incomplete. In this study, we revisit the five-decade-old question of how brand equity affects ve…

Uncovering the Influence Flow Model of Transistor Amplifiers, Its Reconstruction and Application
Mohammed Tuhin Rana, Mishfad Shaikh Veedu, Murti V. Salapaka
https://arxiv.org/abs/2508.04977

Uncovering the Influence Flow Model of Transistor Amplifiers, Its Reconstruction and Application
Multistage transistor amplifiers can be effectively modeled as network of dynamic systems where individual amplifier stages interact through couplings that are dynamic in nature. Using circuit analysis techniques, we show that a large class of transistor amplifiers can be modeled as Linear Dynamic Influence Model (LDIM), where the interactions between different amplifier stages are modeled as linear dynamic equations. LDIM modeling of transistor circuits leads to application of data-driven netw…

Effects of Epoxy Composition on the Thermal and Network Properties of Crosslinked Thermosets: A Molecular-Dynamics Study
Venkata Rama Manoj Pola, Alexey Lyulin
https://arxiv.org/abs/2507.11453

Effects of Epoxy Composition on the Thermal and Network Properties of Crosslinked Thermosets: A Molecular-Dynamics Study
In this study, we investigate the influence of resin composition on the thermal and structural properties of crosslinked epoxy networks using molecular-dynamics simulations. The systems studied are based on mixtures of diglycidyl ether of bisphenol A (DGEBA) and butylated epoxy resin (BER), cured with diethyltoluenediamine (DETDA). A multi-step crosslinking algorithm was used to generate highly crosslinked networks. We systematically explored how the addition of BER affects the network topology…

Decay of small energy solutions in the ABCD Boussinesq model under the influence of an uneven bottom
Christopher Maul\'en, Claudio Mu\~noz, Felipe Poblete
https://arxiv.org/abs/2507.06487 https://arxiv.org/pdf/2507.06487 https://arxiv.org/html/2507.06487
arXiv:2507.06487v1 Announce Type: new
Abstract: The Boussinesq $abcd$ system is a 4-parameter set of equations posed in $\mathbb{R}_t\times\mathbb{R}_x$, originally derived by Bona, Chen and Saut as first order 2-wave approximations of the incompressible and irrotational, two dimensional water wave equations in the shallow water wave regime, in the spirit of the original Boussinesq derivation. Among many particular regimes, depending each of them in terms of the value of the parameters $(a,b,c,d)$ present in the equations, the generic regime is characterized by the setting $b,d>0$ and $a,c<0$. If additionally $b=d$, the $abcd$ system is hamiltonian. Previously, sharp local in space $H^1\times H^1$ decay properties were proved in the case of a large class of $abcd$ model under the small data assumption. In this paper, we generalize [C. Kwak, et. al., The scattering problem for Hamiltonian ABCD Boussinesq systems in the energy space. J. Math. Pures Appl. (9) 127 (2019), 121--159] by considering the small data $abcd$ decay problem in the physically relevant variable bottom regime described by M. Chen. The nontrivial bathymetry is represented by a smooth space-time dependent function $h=h(t,x)$, which obeys integrability in time and smallness in space. We prove first the existence of small global solutions in $H^1\times H^1$. Then, for a sharp set of dispersive $abcd$ systems (characterized only in terms of parameters $a, b$ and $c$), all $H^1\times H^1$ small solutions must decay to zero in proper subset of the light cone $|x|\leq |t|$.
toXiv_bot_toot

Boundary-induced Phases in the Dissipative Dicke Lattice Model
Peng-Fei Wei, Yilun Xu, Fengxiao Sun, Qiongyi He, Peter Rabl, Zhihai Wang
https://arxiv.org/abs/2508.10296 https:/…

Boundary-induced Phases in the Dissipative Dicke Lattice Model
The superradiant phase transition in the dissipative Dicke lattice model, driven by on-site collective atom-photon interactions and inter-site photon hopping, is a cornerstone of nonequilibrium quantum many-body physics. However, little is still known about the influence of boundaries in experimental achievable systems of finite size. Here we investigate the dissipative superradiant phase transition in the Dicke lattice model with a small number of sites and reveal a striking sensitivity of thi…

Modeling roles and trade-offs in multiplex networks
Nikolaos Nakis, Sune Lehmann, Nicholas A. Christakis, Morten M{\o}rup
https://arxiv.org/abs/2508.05488 https://

Modeling roles and trade-offs in multiplex networks
A multiplex social network captures multiple types of social relations among the same set of people, with each layer representing a distinct type of relationship. Understanding the structure of such systems allows us to identify how social exchanges may be driven by a person's own attributes and actions (independence), the status or resources of others (dependence), and mutual influence between entities (interdependence). Characterizing structure in multiplex networks is challenging, as the dis…

Early Explorations of Recommender Systems for Physical Activity and Well-being
Alan Said
https://arxiv.org/abs/2508.07980 https://arxiv.org/pdf/2508.07980

Early Explorations of Recommender Systems for Physical Activity and Well-being
As recommender systems increasingly guide physical actions, often through wearables and coaching tools, new challenges arise around how users interpret, trust, and respond to this advice. This paper introduces a conceptual framework for tangible recommendations that influence users' bodies, routines, and well-being. We describe three design dimensions: trust and interpretation, intent alignment, and consequence awareness. These highlight key limitations in applying conventional recommender logi…

Phase dynamics and their role determining energy flux in hydrodynamic shell models
Santiago J. Benavides, Miguel D. Bustamante
https://arxiv.org/abs/2507.03397

Phase dynamics and their role determining energy flux in hydrodynamic shell models
The transfer of energy and other conserved quantities across scales, also known as flux or spectral flux, is a central aspect of out-of-equilibrium systems such as turbulent hydrodynamic flows. Despite its role in the few predictive theories that exist, a dynamical understanding of what determines said flux (and its direction in scale) has yet to be established. In this study, we work towards this understanding by investigating how the dynamics of complex Fourier velocity phases influence the f…

Are All Genders Equal in the Eyes of Algorithms? -- Analysing Search and Retrieval Algorithms for Algorithmic Gender Fairness
Stefanie Urchs, Veronika Thurner, Matthias A{\ss}enmacher, Ludwig Bothmann, Christian Heumann, Stephanie Thiemichen
https://arxiv.org/abs/2508.05680

Are All Genders Equal in the Eyes of Algorithms? -- Analysing Search and Retrieval Algorithms for Algorithmic Gender Fairness
Algorithmic systems such as search engines and information retrieval platforms significantly influence academic visibility and the dissemination of knowledge. Despite assumptions of neutrality, these systems can reproduce or reinforce societal biases, including those related to gender. This paper introduces and applies a bias-preserving definition of algorithmic gender fairness, which assesses whether algorithmic outputs reflect real-world gender distributions without introducing or amplifying …

An investigation of a varying G through Strong Lensing and SNe Ia observations
R. F. L. Holanda, M. Ferreira, Javier E. Gonzalez
https://arxiv.org/abs/2508.00075 https://…

An investigation of a varying G through Strong Lensing and SNe Ia observations
In this paper, we analyze the potential variation of the gravitational constant $G$ using data from strong gravitational lensing systems and Type Ia supernovae. Testing $G(z)$ parameterizations where $G(z) = G_0(1 + G_1z)$ and $G(z) = G_0(1 + z)^{G_1}$, we also account for the influence of $G$ on the luminosity of SNe Ia through the Chandrasekhar mass-luminosity relation. Only the flat universe hypothesis is considered. Constraints from 158 lensing systems and the Pantheon+ sample show no signi…

Do We Need Pre-Processing for Deep Learning Based Ultrasound Shear Wave Elastography?
Sarah Grube, S\"oren Gr\"unhagen, Sarah Latus, Michael Meyling, Alexander Schlaefer
https://arxiv.org/abs/2508.03744

Do We Need Pre-Processing for Deep Learning Based Ultrasound Shear Wave Elastography?
Estimating the elasticity of soft tissue can provide useful information for various diagnostic applications. Ultrasound shear wave elastography offers a non-invasive approach. However, its generalizability and standardization across different systems and processing pipelines remain limited. Considering the influence of image processing on ultrasound based diagnostics, recent literature has discussed the impact of different image processing steps on reliable and reproducible elasticity analysis.…

Rotatable Array-Aided Hybrid Beamforming for Integrated Sensing and Communication
Zequan Wang, Liang Yin, Yitong Liu, Yunan Sun, Hongwen Yang
https://arxiv.org/abs/2509.08652 ht…

Rotatable Array-Aided Hybrid Beamforming for Integrated Sensing and Communication
Integrated Sensing and Communication (ISAC) is one of the pivotal supporting technologies for next-generation wireless communication networks. As an emerging technical means, the new six-dimensional movable antenna (6DMA) system can effectively improve the communication and sensing performance of ISAC systems. However, related research on the architecture based on three-dimensional rotatable antennas (RA) remains relatively limited. Especially under the influence of non-ideal channel characteri…

Single-ion anisotropy driven chiral magnetic order in a spin-1 antiferromagnetic chain
S. Vaidya, S. P. M. Curley, P. Manuel, J. Ross Stewart, M. Duc Le, A. Hern\'andez-Meli\'an, T. J. Hicken, C. Wang, H. Luetkens, J. Krieger, S. J. Blundell, T. Lancaster, K. A. Wheeler, D. Y. Villa, Z. E. Manson, J. A. Villa, J. L. Manson, J. Singleton, R. D. Johnson, P. A. Goddard

Single-ion anisotropy driven chiral magnetic order in a spin-1 antiferromagnetic chain
Chirality in magnetic systems gives rise to a wide range of exotic phenomena, yet its influence in $S=1$ chains remains largely unexplored. Here, we present a comprehensive experimental study of a chiral antiferromagnetic (AFM) $S=1$ chain, [Ni(pym)(H$_{2}$O)$_{4}$]SO$_{4} \cdot$ H$_{2}$O (pym = pyrimidine), where the Ni(II) octahedral orientation exhibits a four-fold chiral periodicity. Muon spin rotation measurements indicate the onset of long-range magnetic order below $T_{\rm N} = 1.82(2)\,…

An adaptive scheme for the optimization of damping positions by decoupling controllability spaces in vibrational systems
Jennifer Przybilla, Matea Ugrica Vukojevi\'c, Ninolsav Truhar, Peter Benner
https://arxiv.org/abs/2506.20372

An adaptive scheme for the optimization of damping positions by decoupling controllability spaces in vibrational systems
In this work, the problem of optimizing damper positions in vibrational systems is investigated. The objective is to determine the positions of external dampers in such a way that the influence of the input on the output is minimized. The energy response serves as an optimization criterion, whose computation involves solving Lyapunov equations. Hence, in order to find the best positions, many of these equations need to be solved, and so the minimization process can have a high computational cos…

Bridging Ethical Principles and Algorithmic Methods: An Alternative Approach for Assessing Trustworthiness in AI Systems
Michael Papademas, Xenia Ziouvelou, Antonis Troumpoukis, Vangelis Karkaletsis
https://arxiv.org/abs/2506.22774

Bridging Ethical Principles and Algorithmic Methods: An Alternative Approach for Assessing Trustworthiness in AI Systems
Artificial Intelligence (AI) technology epitomizes the complex challenges posed by human-made artifacts, particularly those widely integrated into society and exert significant influence, highlighting potential benefits and their negative consequences. While other technologies may also pose substantial risks, AI's pervasive reach makes its societal effects especially profound. The complexity of AI systems, coupled with their remarkable capabilities, can lead to a reliance on technologies that o…

Eccentric von Zeipel-Lidov-Kozai effects under mildly hierarchical triple systems: Influence of Brown corrections upon orbit flipping
Hao Gao, Hanlun Lei
https://arxiv.org/abs/2507.19709

Eccentric von Zeipel-Lidov-Kozai effects under mildly hierarchical triple systems: Influence of Brown corrections upon orbit flipping
Mildly hierarchical three-body systems are widespread in the Universe, exemplified by planets in stellar binaries and stars in black-hole binaries. In such systems, Brown Hamiltonian corrections play a crucial role in governing the long-term dynamical evolution. In this work, we extend Brown corrections to include octupole-order coupling terms, thereby formulating a more accurate dynamical model for predicting long-term dynamical behaviors. The utilization of the gauge freedom in canonical tran…

Xi : Uncertainty Supervision for Robust Speaker Embedding
Junjie Li, Kong Aik Lee, Duc-Tuan Truong, Tianchi Liu, Man-Wai Mak
https://arxiv.org/abs/2509.05993 https://

Xi+: Uncertainty Supervision for Robust Speaker Embedding
There are various factors that can influence the performance of speaker recognition systems, such as emotion, language and other speaker-related or context-related variations. Since individual speech frames do not contribute equally to the utterance-level representation, it is essential to estimate the importance or reliability of each frame. The xi-vector model addresses this by assigning different weights to frames based on uncertainty estimation. However, its uncertainty estimation model is …

Non-integrability of n-centre billiards
Stefano Baranzini
https://arxiv.org/abs/2508.07078 https://arxiv.org/pdf/2508.07078

Non-integrability of n-centre billiards
We investigate a class of mechanical billiards, where a particle moves in a planar region under the influence of an n-centre potential and reflects elastically on a straight wall. Motivated by Boltzmann's original billiard model we explore when such systems fail to be integrable. We show that for any positive energy, if there are at least two centres and the wall is placed sufficiently far away, the billiard dynamics is necessarily non-integrable and exhibits chaotic behaviour. In the classical…

A Feminist Account of Intersectional Algorithmic Fairness
Marie Mirsch (RWTH Aachen University, Germany), Laila Wegner (Eindhoven University of Technology, The Netherlands), Jonas Strube (RWTH Aachen University, Germany), Carmen Leicht-Scholten (RWTH Aachen University, Germany)
https://arxiv.org/abs/2508.17944

A Feminist Account of Intersectional Algorithmic Fairness
Intersectionality has profoundly influenced research and political action by revealing how interconnected systems of privilege and oppression influence lived experiences, yet its integration into algorithmic fairness research remains limited. Existing approaches often rely on single-axis or formal subgroup frameworks that risk oversimplifying social realities and neglecting structural inequalities. We propose Substantive Intersectional Algorithmic Fairness, extending Green's (2022) notion of su…

Distributed and adaptive model predictive control for vehicle platoon systems under non-ideal communication
Qiaoni Han, Chengfei Xu, Zhiqiang Zuo
https://arxiv.org/abs/2507.07429 …

Distributed and adaptive model predictive control for vehicle platoon systems under non-ideal communication
The uncertainty of wireless communication poses significant challenges to platoon control performance. Aiming at alleviating the influence of non-ideal communication on the platoon system, this paper proposes a distributed and adaptive model predictive control (MPC) method. First of all, to deal with the transmission uncertainty caused by non-ideal communication, compensated data packets are customized for each vehicle. Then, an adaptive model predictive control method is proposed to balance th…

Many-body skyrmion interactions in helimagnets
N. P. Vizarim, J. C. Bellizotti Souza, Ra\'i M. Menezes, Cl\'ecio C. de Souza Silva, P. A. Venegas, M. V. Milo\v{s}evi\'c
https://arxiv.org/abs/2509.12172

Many-body skyrmion interactions in helimagnets
Many-body interactions strongly influence the structure, stability, and dynamics of condensed-matter systems, from atomic lattices to interacting quasi-particles such as superconducting vortices. Here, we investigate theoretically the pairwise and many-body interaction terms among skyrmions in helimagnets, considering both the ferromagnetic and conical spin backgrounds. Using micromagnetic simulations, we separate the exchange, Dzyaloshinskii-Moriya, and Zeeman contributions to the skyrmion-sky…

Accurate identification of communication between multiple interacting neural populations
Belle Liu, Jacob Sacks, Matthew D. Golub
https://arxiv.org/abs/2506.19094

Accurate identification of communication between multiple interacting neural populations
Neural recording technologies now enable simultaneous recording of population activity across many brain regions, motivating the development of data-driven models of communication between brain regions. However, existing models can struggle to disentangle the sources that influence recorded neural populations, leading to inaccurate portraits of inter-regional communication. Here, we introduce Multi-Region Latent Factor Analysis via Dynamical Systems (MR-LFADS), a sequential variational autoenco…

Stochastic processes with multiple temporal scales: timescale separation and information
Giorgio Nicoletti, Daniel M. Busiello
https://arxiv.org/abs/2509.04946 https://

Stochastic processes with multiple temporal scales: timescale separation and information
Complex systems are often characterized by the interplay of multiple interconnected dynamical processes operating across a range of temporal scales. This phenomenon is widespread in both biological and artificial scenarios, making it crucial to understand how such multiscale dynamics influence the overall functioning and behavior of these systems. Here, we present a general timescale separation approach that is valid for any set of stochastic differential equations coupled across multiple times…

Spin non-Collinear Real-Time Time-Dependent Density-Functional Theory and Implementation in the Modern GPU-Accelerated INQ code
Jacopo Simoni, Xavier Andrade, Wuzhang Fang, Andrew C. Grieder, Alfredo A. Correa, Tadashi Ogitsu, Yuan Ping
https://arxiv.org/abs/2506.21908

Spin non-Collinear Real-Time Time-Dependent Density-Functional Theory and Implementation in the Modern GPU-Accelerated INQ code
Time-dependent density functional theory (TDDFT) is a theory that describes the time evolution of quantum mechanical many-electron systems under the influence of external time-dependent electric and magnetic fields. INQ is a specially designed software to efficiently solve the real-time TDDFT equations on graphics processing units (GPUs), which aim to overcome the computational limitation of time and size scales of non-equilibrium quantum dynamics. In this work we will present an implementation…

How Do Community Smells Influence Self-Admitted Technical Debt in Machine Learning Projects?
Shamse Tasnim Cynthia, Nuri Almarimi, Banani Roy
https://arxiv.org/abs/2506.15884

How Do Community Smells Influence Self-Admitted Technical Debt in Machine Learning Projects?
Community smells reflect poor organizational practices that often lead to socio-technical issues and the accumulation of Self-Admitted Technical Debt (SATD). While prior studies have explored these problems in general software systems, their interplay in machine learning (ML)-based projects remains largely underexamined. In this study, we investigated the prevalence of community smells and their relationship with SATD in open-source ML projects, analyzing data at the release level. First, we ex…

News Source Citing Patterns in AI Search Systems
Kai-Cheng Yang
https://arxiv.org/abs/2507.05301 https://arxiv.org/pdf/2507.05301

News Source Citing Patterns in AI Search Systems
AI-powered search systems are emerging as new information gatekeepers, fundamentally transforming how users access news and information. Despite their growing influence, the citation patterns of these systems remain poorly understood. We address this gap by analyzing data from the AI Search Arena, a head-to-head evaluation platform for AI search systems. The dataset comprises over 24,000 conversations and 65,000 responses from models across three major providers: OpenAI, Perplexity, and Google.…

Modeling Social Systems: Transparency, Reproducibility, and Responsibility
Maximino Aldana, Roni Barak Ventura, Heather Z. Brooks, Philip S. Chodrow, Filipe Georgiou, Joseph Johnson, Kre\v{s}imir Josi\'c, Zachary P. Kilpatrick, Kath Landgren, Andrew Nugent, Maurizio Porfiri, Nancy Rodriguez, Pablo Su\'arez-Serrato, David White, Alexander Wiedemann, Sam Zhang

Modeling Social Systems: Transparency, Reproducibility, and Responsibility
Mathematical models of complex social systems can enrich social scientific theory, inform interventions, and shape policy. From voting behavior to economic inequality and urban development, such models influence decisions that affect millions of lives. Thus, it is especially important to formulate and present them with transparency, reproducibility, and humility. Modeling in social domains, however, is often uniquely challenging. Unlike in physics or engineering, researchers often lack controll…

Chern-Simons type cross-correlations and geometric Born effective charge of phonons
Swati Chaudhary, Takashi Oka
https://arxiv.org/abs/2508.04132 https://a…

Chern-Simons type cross-correlations and geometric Born effective charge of phonons
The interplay between different degrees of freedom in condensed matter systems engenders a rich variety of emergent phenomena. In particular, fermions with non-trivial quantum geometry can generate Chern-Simons (CS)-like terms in effective field theories for different gauge fields. For phonons, such terms can result in chiral phonon splitting. Here, we propose that the local Berry curvature can influence the spectra and dynamics of optical phonons, even in materials with zero Chern number, whic…

Influence of Large Mean Delay on Distributed Delay Differential Equations Dynamics: Application to a Neural Mass Model
Isam Al-Darabsah, Sue Ann Campbell, Bootan Rahman
https://arxiv.org/abs/2509.05466

Influence of Large Mean Delay on Distributed Delay Differential Equations Dynamics: Application to a Neural Mass Model
Delay differential equations (DDEs) with large delays play a pivotal role in understanding stability and bifurcations in systems ranging from neural networks to laser dynamics. While prior work has extensively studied DDEs with discrete delays, the impact of distributed delays has been less explored. This paper investigates the spectrum of linear DDEs with a uniformly distributed delay kernel, with mean delay $τ_m$ and a half-width of $ρ$. When $τ_m\to\infty$, we carry out asymptotic analysi…

Chaos dynamics of charged particles near Gibbons-Maeda-Garfinkle-Horowitz-Strominger black holes
Zhen-Meng Xu, Da-Zhu Ma, Kai Li
https://arxiv.org/abs/2507.18879 https://…

Chaos dynamics of charged particles near Gibbons-Maeda-Garfinkle-Horowitz-Strominger black holes
The Gibbons-Maeda-Garfinkle-Horowitz-Strominger (GMGHS) dilatonic black hole, a key solution in low-energy string theory, exhibits previously unexplored chaotic dynamics for charged test particles under electromagnetic influence. While characterizing such chaos necessitates high-precision numerical solutions, our prior research confirms the explicit symplectic algorithm as the optimal numerical integration tool for strongly curved gravitational celestial systems. Leveraging the Hamiltonian form…

Evolution of multi-qubit correlations driven by mutual interactions
Aleksandra Kwiatkowska, Waldemar K{\l}obus
https://arxiv.org/abs/2507.00692 https://

Evolution of multi-qubit correlations driven by mutual interactions
A particularly useful tool for characterizing multi-qubit systems is the correlation tensor, providing an experimentally friendly and theoretically concise representation of quantum states. In this work, we analyze the evolution of the correlation tensor elements of quantum systems composed of $\frac12$-spins, generated by mutual interactions and the influence of the external field. We focus on two-body interactions in the form of anisotropic Heisenberg as well as antisymmetric exchange interac…

Sliding-tuned Quantum Geometry in Moir\'e Systems: Nonlinear Hall Effect and Quantum Metric Control
Shi-Ping Ding, Miao Liang, Tian-Le Wu, Meng-Hao Wu, Jing-Tao L\"u, Jin-Hua Gao, X. C. Xie
https://arxiv.org/abs/2509.09077

Sliding-tuned Quantum Geometry in Moiré Systems: Nonlinear Hall Effect and Quantum Metric Control
Sliding is a ubiquitous phenomenon in moiré systems, but its direct influence on moiré bands, especially in multi-twist moiré systems, has been largely overlooked to date. Here, we theoretically show that sliding provides a unique pathway to engineer the quantum geometry (Berry curvature and quantum metric) of moiré bands, exhibiting distinct advantages over conventional strategies. Specifically, we first suggest alternating twisted trilayer $\mathrm{MoTe_2}$ (AT3L-$\mathrm{MoTe_2}$) and ch…

Beyond Reactive Safety: Risk-Aware LLM Alignment via Long-Horizon Simulation
Chenkai Sun, Denghui Zhang, ChengXiang Zhai, Heng Ji
https://arxiv.org/abs/2506.20949

Beyond Reactive Safety: Risk-Aware LLM Alignment via Long-Horizon Simulation
Given the growing influence of language model-based agents on high-stakes societal decisions, from public policy to healthcare, ensuring their beneficial impact requires understanding the far-reaching implications of their suggestions. We propose a proof-of-concept framework that projects how model-generated advice could propagate through societal systems on a macroscopic scale over time, enabling more robust alignment. To assess the long-term safety awareness of language models, we also introd…

Energy-dynamics interplay in temporal networks triggers explosive synchronization
Romuald Mbonwouo, Steve J. Kongni, Sishu Shankar Muni, Carmel T. Lambu, Venceslas Nguefoue, Patrick Louodop, Thierry Njougouo
https://arxiv.org/abs/2509.08651

Energy-dynamics interplay in temporal networks triggers explosive synchronization
In this paper, we investigate how the internal dynamics of the systems within a network influence the transition to synchronization in adaptive networks of coupled Rossler systems. The network structure is dynamically determined by local energy rules, where links are established according to either intrinsic (conservative) or dissipative energy. By systematically varying one of the system parameter, the bifurcation of an isolated Rossler system illustrates three representative regimes-periodic,…

Photon helicity asymmetry and duality anomaly in rotating waveguides
Adrian del Rio
https://arxiv.org/abs/2509.01718 https://arxiv.org/pdf/2509.01718

Photon helicity asymmetry and duality anomaly in rotating waveguides
In quantum field theory, photon pairs can be excited out of the vacuum under the influence of dynamical gravitational fields. If the classical electromagnetic duality symmetry held at the quantum level, equal numbers of right- vs left-handed modes would be excited. However, a quantum chiral-like anomaly is known to affect this symmetry. In this work, we explore more experimentally accessible manifestations of this anomaly in analogue-gravity systems. Specifically, we describe the physical mecha…

Anomalous diffusion in coupled viscoelastic media: A fractional Langevin equation approach
Chan Lim, Jae-Hyung Jeon
https://arxiv.org/abs/2507.08291 https:…

Anomalous diffusion in coupled viscoelastic media: A fractional Langevin equation approach
Anomalous diffusion often arises in complex environments where viscoelastic or crowded conditions influence particle motion. In many biological and soft-matter systems, distinct components of the medium exhibit unique viscoelastic responses, resulting in time-dependent changes in the observed diffusion exponents. Here, we develop a theoretical model of two particles, each embedded in a distinct viscoelastic medium, and coupled via a harmonic potential. By formulating and solving a system of cou…

Diffusion Models for Influence Maximization on Temporal Networks: A Guide to Make the Best Choice
Aaqib Zahoor, Iqra Altaf Gillani, Janibul Bashir
https://arxiv.org/abs/2507.22589

Diffusion Models for Influence Maximization on Temporal Networks: A Guide to Make the Best Choice
The increasing prominence of temporal networks in online social platforms and dynamic communication systems has made influence maximization a critical research area. Various diffusion models have been proposed to capture the spread of information, yet selecting the most suitable model for a given scenario remains challenging. This article provides a structured guide to making the best choice among diffusion models for influence maximization on temporal networks. We categorize existing models ba…

Biocompatibility of Nanomaterials in Medical Applications
Marvellous Eyube, Courage Enuesueke, Marvellous Alimikhena
https://arxiv.org/abs/2507.22966 https://

Biocompatibility of Nanomaterials in Medical Applications
Biocompatibility is a critical factor in the application of nanomaterials in medical fields, as these materials must interact safely and effectively with biological systems to be viable for therapeutic and diagnostic use. This article investigates the biocompatibility of nanomaterials, focusing on their interactions with biological cells, tissues, and the immune system. Key properties such as surface chemistry, size, shape, and material composition are examined, as they significantly influence …

Denoising by neural network for muzzle blast detection
Hadrien Pujol, Matteo Bevillacqua, Christophe Thirard, Thierry Mazoyer
https://arxiv.org/abs/2508.14919 https://

Denoising by neural network for muzzle blast detection
Acoem develops gunshot detection systems, consisting of a microphone array and software that detects and locates shooters on the battlefield. The performance of such systems is obviously affected by the acoustic environment in which they are operating: in particular, when mounted on a moving military vehicle, the presence of noise reduces the detection performance of the software. To limit the influence of the acoustic environment, a neural network has been developed. Instead of using a heavy …

Towards a better approach to the Vehicle Routing Problem
Souad Abdoune, Menouar Boulif
https://arxiv.org/abs/2506.23028 https://arxiv…

Towards a better approach to the Vehicle Routing Problem
The Vehicle Routing Problem (VRP) is a fundamental challenge in logistics management research, given its substantial influence on transportation efficiency, cost minimization, and service quality. As a combinatorial optimization problem, VRP plays a crucial role in a wide range of real world applications, particularly in transportation, logistics, and delivery systems, due to its diverse formulations and numerous extensions. Over the years, researchers have introduced various VRP variants to ad…

Challenges for AI in Multimodal STEM Assessments: a Human-AI Comparison
Aymeric de Chillaz, Anna Sotnikova, Patrick Jermann, Antoine Bosselut
https://arxiv.org/abs/2507.03013

Challenges for AI in Multimodal STEM Assessments: a Human-AI Comparison
Generative AI systems have rapidly advanced, with multimodal input capabilities enabling reasoning beyond text-based tasks. In education, these advancements could influence assessment design and question answering, presenting both opportunities and challenges. To investigate these effects, we introduce a high-quality dataset of 201 university-level STEM questions, manually annotated with features such as image type, role, problem complexity, and question format. Our study analyzes how these fea…

Time Series Analysis of Spiking Neural Systems via Transfer Entropy and Directed Persistent Homology
Dylan Peek, Siddharth Pritam, Matthew P. Skerritt, Stephan Chalup
https://arxiv.org/abs/2508.19048

Time Series Analysis of Spiking Neural Systems via Transfer Entropy and Directed Persistent Homology
We present a topological framework for analysing neural time series that integrates Transfer Entropy (TE) with directed Persistent Homology (PH) to characterize information flow in spiking neural systems. TE quantifies directional influence between neurons, producing weighted, directed graphs that reflect dynamic interactions. These graphs are then analyzed using PH, enabling assessment of topological complexity across multiple structural scales and dimensions. We apply this TE+PH pipeline to…

A Methodological Framework and Questionnaire for Investigating Perceived Algorithmic Fairness
Ahmed Abdal Shafi Rasel, Ahmed Mustafa Amlan, Tasmim Shajahan Mim, Tanvir Hasan
https://arxiv.org/abs/2508.05281

A Methodological Framework and Questionnaire for Investigating Perceived Algorithmic Fairness
This study explores perceptions of fairness in algorithmic decision-making among users in Bangladesh through a comprehensive mixed-methods approach. By integrating quantitative survey data with qualitative interview insights, we examine how cultural, social, and contextual factors influence users' understanding of fairness, transparency, and accountability in AI systems. Our findings reveal nuanced attitudes toward human oversight, explanation mechanisms, and contestability, highlighting the im…

Influence and information in a collective of self-propelled particles
Jiahuan Pang, Wendong Wang
https://arxiv.org/abs/2506.20888 https://

Influence and information in a collective of self-propelled particles
While information-theoretic quantities, such as transfer entropy, have been widely adopted to infer causal relationships in collective systems, a critical gap exists: the absence of quantitative evidence directly linking information-theoretic quantities to a physically defined influence. This letter addresses this gap by proposing a modified Vicsek model that enables the calculation of a physically interpretable influence grounded in the angular interactions between particles. Averaged pairwise…

MENO: Hybrid Matrix Exponential-based Neural Operator for Stiff ODEs. Application to Thermochemical Kinetics
Ivan Zanardi, Simone Venturi, Marco Panesi
https://arxiv.org/abs/2507.14341

MENO: Hybrid Matrix Exponential-based Neural Operator for Stiff ODEs. Application to Thermochemical Kinetics
We introduce MENO (''Matrix Exponential-based Neural Operator''), a hybrid surrogate modeling framework for efficiently solving stiff systems of ordinary differential equations (ODEs) that exhibit a sparse nonlinear structure. In such systems, only a few variables contribute nonlinearly to the dynamics, while the majority influence the equations linearly. MENO exploits this property by decomposing the system into two components: the low-dimensional nonlinear part is modeled using conventional n…

Correlated reaction coordinate motion produces non-additive rate enhancement for electron and energy transfer in multi-acceptor structures
Hanggai Nuomin, Feng-Feng Song, Peng Zhang, David N. Beratan
https://arxiv.org/abs/2506.21504

Correlated reaction coordinate motion produces non-additive rate enhancement for electron and energy transfer in multi-acceptor structures
Molecular structures with multiple donor, bridge, or acceptor units can display quantum interference effects that influence electron and energy transfer (ET and EnT) rates. Recent experiments found a 4- to 5-fold increase in ET rates for donor-acceptor structures with two acceptors compared to one. This result is surprising: simple classical or quantum analysis suggests a factor of two rate enhancement. We analyze the coupling interactions in multiple acceptor systems and find that rate enhance…

Spatial Stark-Zeeman Systems and Their Regularizations
Seongchan Kim, Kevin Ruck
https://arxiv.org/abs/2507.15172 https://arxiv.org/p…

Spatial Stark-Zeeman Systems and Their Regularizations
In this article, we study spatial Stark-Zeeman systems which describe the dynamics of a charged particle moving in three-dimensional space under the influence of a Coulomb potential, a magnetic field, and an electric field, possibly time-dependent. Such systems are modeled by Hamiltonian flows on the cotangent bundle of an open subset of $\mathbb{R}^3, $ equipped with a twisted symplectic structure. The presence of the Coulomb singularity leads to the study of collision orbits, and hence unders…

Understanding Demand for Shared Autonomous Micro-Mobility
Naroa Coretti Sanchez, Kent Larson
https://arxiv.org/abs/2508.03521 https://arxiv.org/pdf/2508.03…

Understanding Demand for Shared Autonomous Micro-Mobility
This study examines the behavioral and environmental implications of shared autonomous micro-mobility systems, focusing on autonomous bicycles and their integration with transit in the U.S. While prior research has addressed operational and lifecycle aspects, a critical gap remains in understanding which modes these services are likely to substitute, who is most inclined to adopt them, and how service attributes influence user decisions. We design a context-aware stated preference survey ground…

Reinforce Lifelong Interaction Value of User-Author Pairs for Large-Scale Recommendation Systems
Yisha Li, Lexi Gao, Jingxin Liu, Xiang Gao, Xin Li, Haiyang Lu, Liyin Hong
https://arxiv.org/abs/2507.16253

Reinforce Lifelong Interaction Value of User-Author Pairs for Large-Scale Recommendation Systems
Recommendation systems (RS) help users find interested content and connect authors with their target audience. Most research in RS tends to focus either on predicting users' immediate feedback (like click-through rate) accurately or improving users' long-term engagement. However, they ignore the influence for authors and the lifelong interaction value (LIV) of user-author pairs, which is particularly crucial for improving the prosperity of social community in short-video platforms. Currently, r…

CIA TA Risk Assessment for AI Reasoning Vulnerabilities
Yuksel Aydin
https://arxiv.org/abs/2508.15839 https://arxiv.org/pdf/2508.15839

CIA+TA Risk Assessment for AI Reasoning Vulnerabilities
As AI systems increasingly influence critical decisions, they face threats that exploit reasoning mechanisms rather than technical infrastructure. We present a framework for cognitive cybersecurity, a systematic protection of AI reasoning processes from adversarial manipulation. Our contributions are threefold. First, we establish cognitive cybersecurity as a discipline complementing traditional cybersecurity and AI safety, addressing vulnerabilities where legitimate inputs corrupt reasoning wh…

Probing Spin-Lifetime Correlations in Entangled Hyperon-AntiHyperon Pairs
Aihong Tang
https://arxiv.org/abs/2507.18507 https://arxiv.org/pdf/2507.18507

Probing Spin-Lifetime Correlations in Entangled Hyperon-AntiHyperon Pairs
Quantum entanglement has now been demonstrated in several hadronic systems, revealing that non-classical spin correlations survive even through the strong-interaction hadronization process. To date, however, all studies have focused exclusively on angular observables, leaving the possibility untouched that quantum coherence might also influence the decay times of entangled partners. In this work we propose two data-driven tests - relative and absolute lifetime correlations - for Lambda-antiLamb…

Crystal Nucleation Kinetics and Mechanism: Influence of Interaction Potential
Porhouy Minh, Steven W. Hall, Ryan S. DeFever, Sapna Sarupria
https://arxiv.org/abs/2506.16541

Crystal Nucleation Kinetics and Mechanism: Influence of Interaction Potential
Modulating liquid-to-solid transitions and the resulting crystalline structure for tailored properties is much desired. Colloidal systems are exemplary to this end, but the fundamental knowledge gaps in relating the influence of intermolecular interactions to crystallization behavior continue to hinder progress. In this study, we address this knowledge gap by studying nucleation and growth in systems with modified Lennard-Jones potential. Specifically, we study the commonly used 12-6 potential …

Algorithmic Collective Action with Multiple Collectives
Claudio Battiloro, Pietro Greiner, Bret Nestor, Oumaima Amezgar, Francesca Dominici
https://arxiv.org/abs/2508.19149 http…

Algorithmic Collective Action with Multiple Collectives
As learning systems increasingly influence everyday decisions, user-side steering via Algorithmic Collective Action (ACA)-coordinated changes to shared data-offers a complement to regulator-side policy and firm-side model design. Although real-world actions have been traditionally decentralized and fragmented into multiple collectives despite sharing overarching objectives-with each collective differing in size, strategy, and actionable goals, most of the ACA literature focused on single collec…

DARTS: A Dual-View Attack Framework for Targeted Manipulation in Federated Sequential Recommendation
Qitao Qin, Yucong Luo, Zhibo Chu
https://arxiv.org/abs/2507.01383

DARTS: A Dual-View Attack Framework for Targeted Manipulation in Federated Sequential Recommendation
Federated recommendation (FedRec) preserves user privacy by enabling decentralized training of personalized models, but this architecture is inherently vulnerable to adversarial attacks. Significant research has been conducted on targeted attacks in FedRec systems, motivated by commercial and social influence considerations. However, much of this work has largely overlooked the differential robustness of recommendation models. Moreover, our empirical findings indicate that existing targeted att…

The Bode Plots for Sliding-Mode Control Design
Ulises P\'erez-Ventura
https://arxiv.org/abs/2507.16281 https://arxiv.org/pdf/2507…

The Bode Plots for Sliding-Mode Control Design
This paper develops a unified frequency-domain framework for the analysis of sliding-mode control systems, encompassing both discontinuous and Lipschitz-continuous implementations. Using describing function (DF) theory, closed-form expressions are derived for the amplitude and frequency of chattering oscillations, as well as equivalent gain (EG) models that enable closed-loop sensitivity analysis. The proposed methodology captures the influence of actuator dynamics, control parameters, and dist…

Engineering Resilience: An Energy-Based Approach to Sustainable Behavioural Interventions
Arpitha Srivathsa Malavalli, Karthik Sama, Janvi Chhabra, Pooja Bassin, Srinath Srinivasa
https://arxiv.org/abs/2506.16836

Engineering Resilience: An Energy-Based Approach to Sustainable Behavioural Interventions
Addressing complex societal challenges, such as improving public health, fostering honesty in workplaces, or encouraging eco-friendly behaviour requires effective nudges to influence human behaviour at scale. Intervention science seeks to design such nudges within complex societal systems. While interventions primarily aim to shift the system toward a desired state, less attention is given to the sustainability of that state, which we define in terms of resilience: the system's ability to retai…

TumorPred: A Computational Framework Implemented via an R/Shiny Web Application for Parameter Estimation and Sensitivity Analysis in Compartmental Brain Modeling
Charuka D. Wickramasinghe, Nelum S. S. M. Hapuhinna
https://arxiv.org/abs/2509.04778

TumorPred: A Computational Framework Implemented via an R/Shiny Web Application for Parameter Estimation and Sensitivity Analysis in Compartmental Brain Modeling
It is difficult or infeasible to directly measure how much of a drug actually enters the human brain and a brain tumor, how long it remains there, and to estimate drug-specific or patient-specific parameters, as well as how changes in these parameters influence model outputs and pharmacokinetic characteristics. Compartmental modeling offers a powerful mathematical approach to describe drug distribution and elimination in the body using systems of differential equations. This study introduces Tu…

Resonant Photoluminescence of Quantum Incompressible Liquids
D. A. Shchigarev, A. V. Larionov, L. V. Kulik, E. M. Budanov, I. V. Kukushkin, V. Umansky
https://arxiv.org/abs/2507.13816

Resonant Photoluminescence of Quantum Incompressible Liquids
We investigate resonant photoluminescence arising from incompressible quantum liquids formed in two-dimensional electron systems. We demonstrate that, for excitons composed of a photoexcited electron occupying the upper spin sublevel of the zeroth Landau level and a valence-band hole, the influence of disorder potential fluctuations on optical recombination is strongly suppressed, indicating complete screening of the disorder. We identify an optical invariant quantity that is insensitive to exc…

Scaling, Fractal Dynamics and Critical Exponents{: Application} in a non-integer dimensional Ising model
Henrique A. de Lima, Ismael S. S. Carrasco, Marcio Santos, Fernando A. Oliveira
https://arxiv.org/abs/2507.00956

Scaling, Fractal Dynamics and Critical Exponents{: Application} in a non-integer dimensional Ising model
Moving beyond simple associations, researchers need tools to quantify how variables influence each other in space and time. Correlation functions provide a mathematical framework for characterizing these essential dependencies, revealing insights into causality, structure, and hidden patterns within complex systems. In physical systems with many degrees of freedom, such as gases, liquids, and solids, a statistical analysis of these correlations is essential. For a field $Ψ(\vec{x},t)$ that dep…

Prenematic Fluctuations in Nanoparticle-Hosted Systems
Szymon Starzonek, Krzysztof G\'orny, Zbigniew Dendzik, Dejvid \v{C}re\v{s}nar, Ale\v{s} Igli\v{c}
https://arxiv.org/abs/2507.01562

Prenematic Fluctuations in Nanoparticle-Hosted Systems
This study combines broadband dielectric spectroscopy (BDS) experiments with molecular dynamics (MD) simulations to investigate the influence of nanoparticle (NP) inclusions on pretransitional phenomena in a liquid crystal (LC) host. We aimed to fill the existing gap between macroscopic observations and their microscopic origins. Our experimental results on SiO$_2$-doped 5CB composites demonstrate that while NP additions do not significantly change the isotropic-nematic transition temperature (…

How Do LLM-Generated Texts Impact Term-Based Retrieval Models?
Wei Huang, Keping Bi, Yinqiong Cai, Wei Chen, Jiafeng Guo, Xueqi Cheng
https://arxiv.org/abs/2508.17715 https://…

How Do LLM-Generated Texts Impact Term-Based Retrieval Models?
As more content generated by large language models (LLMs) floods into the Internet, information retrieval (IR) systems now face the challenge of distinguishing and handling a blend of human-authored and machine-generated texts. Recent studies suggest that neural retrievers may exhibit a preferential inclination toward LLM-generated content, while classic term-based retrievers like BM25 tend to favor human-written documents. This paper investigates the influence of LLM-generated content on term-…

Witness the High-Dimensional Quantum Steering via Majorization Lattice
Ma-Cheng Yang, Cong-Feng Qiao
https://arxiv.org/abs/2507.20950 https://arxiv.org/pdf…

Witness the High-Dimensional Quantum Steering via Majorization Lattice
Quantum steering enables one party to influence another remote quantum state by local measurement. While steering is fundamental to many quantum information tasks, the existing detection methods in the literature are mainly constrained to either specific measurement scenario or low-dimensional systems. In this work, we propose a majorization lattice framework for steering detection, which is capable of exploring the steering in arbitrary dimension and measurement setting. Steering inequalities …

Jahn-Teller-like Distortion in a One-dimensional {\pi}-Conjugated Polymer
Ziyi Wang, Boyu Qie, Weichen Tang, Jingwei Jiang, Fujia Liu, Peter H. Jacobse, Jiaming Lu, Xinheng Li, Steven G. Louie, Felix R. Fischer, Michael F. Crommie
https://arxiv.org/abs/2508.14416

Jahn-Teller-like Distortion in a One-dimensional π-Conjugated Polymer
Structurally distorting low-dimensional π-conjugated systems can profoundly influence their electronic properties, but controlling such behavior in extended-width systems remains challenging. Here we demonstrate that a one-dimensional conjugated polymer, poly-(difluorenoheptalene-ethynylene) (PDFHE), undergoes a pronounced out-of-plane backbone distortion, equivalent to a spontaneous symmetry breaking (SSB) of its mirror symmetry. We synthesized PDFHE on noble metal surfaces and characterized …