Tootfinder

The Influence of the Accretion Disc Structure on X-ray Spectral States in Symbiotic Binaries
Jes\'us A. Toal\'a, Diego A. Vasquez-Torres
https://arxiv.org/abs/2510.12654

The Influence of the Accretion Disc Structure on X-ray Spectral States in Symbiotic Binaries
Symbiotic stars are binary systems where a white dwarf (WD) accretes material from the wind of an evolved, late-type companion. X-ray-emitting symbiotic systems are classified into $α$, $β$, $δ$, and $β/δ$ types, attributed to distinct physical mechanisms such as thermonuclear burning, wind interactions, and accretion-driven boundary layers. We present synthetic X-ray spectra derived from hydrodynamics simulations using the PHANTOM code, coupled with radiative-transfer calculations from SK…

The influence of tight binaries on proto-planetary disk masses
Kevin Flaherty, Peter Knowlton, Tasan Smith-Gandy, A. Meredith Hughes, Marina Kounkel, Eric Jensen, James Muzerolle, Kevin Covey
https://arxiv.org/abs/2510.09823

The influence of tight binaries on proto-planetary disk masses
Binary systems are a common site of planet formation, despite the destructive effects of the binary on the disk. While surveys of planet forming material have found diminished disk masses around medium separation ($\sim$10--100 au) binaries, less is known about tight ($<$10 au) binaries, where a significant circumbinary disk may escape the disruptive dynamical effects of the binary. We survey over 100 spectroscopic binaries in the Orion A region with ALMA, detecting significant continuum emissi…

Webinar: More Than Just Choice: How Religion, Race, and Identity Influence Food Decisions
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Fibration Symmetries and Cluster Synchronization in Multi-Body Systems
Margherita Bert\`e, Tommaso Gili
https://arxiv.org/abs/2510.11207 https://arxiv.org/…

Fibration Symmetries and Cluster Synchronization in Multi-Body Systems
Based on recent advances in fibration symmetry theory, we investigate how structural symmetries influence synchronization in systems with higher-order interactions (HOI). Using bipartite graph representations, we identify a node partition in fibres, based on equivalent incidence relations in hypergraphs. We study how identical nodes with an isomorphic input set can synchronize due to structural properties under our specific model assumptions, examining the dynamical model of Kuramoto with highe…

The evolution of influence operations
from crude Russian troll farms to sophisticated AI systems using large language models;
the discovery of GoLaxy documents revealing a "Smart Propaganda System" that collects millions of data points daily, builds psychological profiles, and generates resilient personas;
the fundamental challenges of measuring effectiveness;
GoLaxy's ties to Chinese intelligence agencies;
operations targeting Hong Kong's…

The influence of rotation and metallicity on the explodability of massive stars
Renyu Luo, Chunhua Zhu, Guoliang L\"u, Helei Liu, Sufen Guo, Lei Li, Zhuowen Li
https://arxiv.org/abs/2510.06043

The influence of rotation and metallicity on the explodability of massive stars
During the late stages of massive stellar evolution, failed supernovae (FSN) may form through core-collapse processes. The traditional evaluation criterion $ξ_{2.5}$ $=$ 0.45, primarily established using non-rotating progenitor models, suffers from significant inaccuracies when applied to rotating pre-supernova systems. The effects of metallicity and rotation on the explodability landscapes of massive stars lack robust quantification. We aim to investigate how rotation and metallicity influenc…

A Wave of Resignations in the Aftermath of Remote Onboarding
Darja Smite, Franz Zieris, Lars-Ola Damm
https://arxiv.org/abs/2510.05878 https://arxiv.org/pd…

A Wave of Resignations in the Aftermath of Remote Onboarding
The COVID-19 pandemic has permanently altered workplace structures, normalizing remote work. However, critical evidence highlights challenges with fully remote arrangements, particularly for software teams. This study investigates employee resignation patterns at Ericsson, a global developer of software-intensive systems, before, during, and after the pandemic. Using HR data from 2016-2025 in Ericsson Sweden, we analyze how different work modalities (onsite, remote, and hybrid) influence employ…

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Opponent Shaping in LLM Agents
Marta Emili Garcia Segura, Stephen Hailes, Mirco Musolesi
https://arxiv.org/abs/2510.08255 https://arxiv.org/pdf/2510.08255

Opponent Shaping in LLM Agents
Large Language Models (LLMs) are increasingly being deployed as autonomous agents in real-world environments. As these deployments scale, multi-agent interactions become inevitable, making it essential to understand strategic behavior in such systems. A central open question is whether LLM agents, like reinforcement learning agents, can shape the learning dynamics and influence the behavior of others through interaction alone. In this paper, we present the first investigation of opponent shapin…

REN: Anatomically-Informed Mixture-of-Experts for Interstitial Lung Disease Diagnosis
Alec K. Peltekian, Halil Ertugrul Aktas, Gorkem Durak, Kevin Grudzinski, Bradford C. Bemiss, Carrie Richardson, Jane E. Dematte, G. R. Scott Budinger, Anthony J. Esposito, Alexander Misharin, Alok Choudhary, Ankit Agrawal, Ulas Bagci
https://arxiv.org/abs…

REN: Anatomically-Informed Mixture-of-Experts for Interstitial Lung Disease Diagnosis
Mixture-of-Experts (MoE) architectures have significantly contributed to scalable machine learning by enabling specialized subnetworks to tackle complex tasks efficiently. However, traditional MoE systems lack domain-specific constraints essential for medical imaging, where anatomical structure and regional disease heterogeneity strongly influence pathological patterns. Here, we introduce Regional Expert Networks (REN), the first anatomically-informed MoE framework tailored specifically for med…

Dynamics of Choline Chloride based Deep Eutectic Solvents: Neutron Scattering Study
Rinesh T., H. Srinivasan, V. K. Sharma, S. Mitra
https://arxiv.org/abs/2510.05882 https://

Dynamics of Choline Chloride based Deep Eutectic Solvents: Neutron Scattering Study
In this study, we investigate the microscopic diffusion dynamics of choline chloride (ChCl) based deep eutectic solvents (DESs) to elucidate the influence of hydrogen bond donor (HBD) identity on the mobility of cholinium ions. The DES systems examined include ethaline, glyceline, and reline, comprising ChCl mixed with ethylene glycol, glycerol, and urea, respectively, in a 1:2 molar ratio. Quasielastic neutron scattering experiments was used to probe the self-diffusion of cholinium ions at mol…

Adversarial Social Influence: Modeling Persuasion in Contested Social Networks
Renukanandan Tumu, Cristian Ioan Vasile, Victor Preciado, Rahul Mangharam
https://arxiv.org/abs/2510.01481

Adversarial Social Influence: Modeling Persuasion in Contested Social Networks
We present the Social Influence Game (SIG), a framework for modeling adversarial persuasion in social networks with an arbitrary number of competing players. Our goal is to provide a tractable and interpretable model of contested influence that scales to large systems while capturing the structural leverage points of networks. Each player allocates influence from a fixed budget to steer opinions that evolve under DeGroot dynamics, and we prove that the resulting optimization problem is a differ…

Film-wise condensation of pure vapour in flattened tubes: A numerical study of the combined influence of aspect ratio and rotation angle
Y. V. Lyulin, D. Bugrov, R. Khurmatova, H. Ouerdane, I. Marchuk
https://arxiv.org/abs/2509.20064

Film-wise condensation of pure vapour in flattened tubes: A numerical study of the combined influence of aspect ratio and rotation angle
Vapor condensation is a physical phenomenon that finds application in heat removal systems. The traditional design of these systems involves round tubes but experience shows that this geometry is not optimal for heat transfer. Flattened tubes on the other hand, have been found to offer potential for improvement as their geometry increases the condensation surface, which fosters higher heat transfer rates. However, the effects of tube shape (aspect ratio) and orientation (rotation angle) on film…

Webinar: More Than Just Choice: How Religion, Race, and Identity Influence Food Decisions https://networks.h-net.org/group/announcements/20134839/webinar-more-just-choice-how-religion-race-and-identity-influence-food

Anisotropy of the chiral, semiconducting phase LaRhC$_{2}$: a handedness resolved study
Volodymyr Levytskyi, Ulrich Burkhardt, Markus K\"onig, Christoph Hennig, Eteri Svanidze, Yuri Grin, Roman Gumeniuk
https://arxiv.org/abs/2509.21510

Anisotropy of the chiral, semiconducting phase LaRhC$_{2}$: a handedness resolved study
Chirality in quantum materials is a topic of significant importance due to its profound effects on the electronic, magnetic, and optical properties of these systems. However, it is non-trivial to decouple the behavior of two enantiomorphs within the same material -- perhaps explaining why the influence of chirality on electrical properties has remained largely unexplored. In this work, we examine the electrical conductivity, magnetoresistance, and thermal expansion coefficient of LaRhC$_{2}$ --…

Exploring Database Normalization Effects on SQL Generation
Ryosuke Kohita
https://arxiv.org/abs/2510.01989 https://arxiv.org/pdf/2510.01989

Exploring Database Normalization Effects on SQL Generation
Schema design, particularly normalization, is a critical yet often overlooked factor in natural language to SQL (NL2SQL) systems. Most prior research evaluates models on fixed schemas, overlooking the influence of design on performance. We present the first systematic study of schema normalization's impact, evaluating eight leading large language models on synthetic and real-world datasets with varied normalization levels. We construct controlled synthetic datasets with formal normalization (1N…

Polka-dotted Stars II: Starspots and obliquities of Kepler-17 and Kepler-63
Sabina Sagynbayeva, Will M. Farr
https://arxiv.org/abs/2510.07130 https://arxiv…

Polka-dotted Stars II: Starspots and obliquities of Kepler-17 and Kepler-63
Starspots trace stellar magnetic activity and influence both stellar evolution and exoplanet characterization. While occultation-based spot analyses have been applied to individual systems, comparative studies remain limited. We apply the StarryStarryProcess Bayesian surface-mapping framework to archival Kepler light curves of two planet hosts, Kepler-63 and Kepler-17, extending the validation established on TOI-3884 (Paper I). Across both systems, we infer characteristic spot radii smaller tha…

Dynamics of the $N$-body system in energy-momentum squared gravity: II. Existence of a Self-Acceleration
Elham Nazari
https://arxiv.org/abs/2509.17017 https://

Dynamics of the $N$-body system in energy-momentum squared gravity: II. Existence of a Self-Acceleration
We investigate the post-Newtonian (PN) dynamics of energy-momentum squared gravity (EMSG), with particular emphasis on the possibility of self-acceleration in $N$-body systems. A central challenge in matter-type modified gravity theories, including EMSG, is the non-vanishing divergence of the energy-momentum tensor, arising from the nonminimal interaction between the standard and modified matter fields. This feature can, in principle, influence the $N$-body dynamics. In our previous work [1], i…

Neural Network-Based Single-Carrier Joint Communication and Sensing: Loss Design, Constellation Shaping and Precoding
Charlotte Muth, Benedikt Geiger, Daniel Gil Gaviria, Laurent Schmalen
https://arxiv.org/abs/2509.26508

Neural Network-Based Single-Carrier Joint Communication and Sensing: Loss Design, Constellation Shaping and Precoding
We investigate the impact of higher-order modulation formats on the sensing performance of single-carrier joint communication and sensing (JCAS) systems. Several separate components such as a beamformer, a modulator, a target detector, an angle of arrival (AoA) estimator and a communication demapper are implemented as trainable neural networks (NNs). We compare geometrically shaped modulation formats to a classical quadrature amplitude modulation (QAM) scheme. We assess the influence of multi-s…

Measuring the measurement problem: controlling decoherence with measurement duration in molecular MCB junctions
C. J. Muller
https://arxiv.org/abs/2510.01945 https://

Measuring the measurement problem: controlling decoherence with measurement duration in molecular MCB junctions
We investigate the influence of the measurement duration on quantum coherence in molecular mechanically controlled break junctions operating in a tetrahydrofuran (THF) partially wet phase. These systems represent a distinct class of enclosed open quantum systems with unusually long decoherence times at ambient conditions, on the order of 1-20 ms. By tuning the integration time of the current measurement in current-voltage (IV) characteristics, relative to the decoherence time, we observe a tran…

Artificial Authority: From Machine Minds to Political Alignments. An Experimental Analysis of Democratic and Autocratic Biases in Large-Language Models
Szymon {\L}ukasik, Natalia O\.zegalska-{\L}ukasik
https://arxiv.org/abs/2509.25286

Artificial Authority: From Machine Minds to Political Alignments. An Experimental Analysis of Democratic and Autocratic Biases in Large-Language Models
Political beliefs vary significantly across different countries, reflecting distinct historical, cultural, and institutional contexts. These ideologies, ranging from liberal democracies to rigid autocracies, influence human societies, as well as the digital systems that are constructed within those societies. The advent of generative artificial intelligence, particularly Large Language Models (LLMs), introduces new agents in the political space-agents trained on massive corpora that replicate a…

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…

Position: Human Factors Reshape Adversarial Analysis in Human-AI Decision-Making Systems
Shutong Fan, Lan Zhang, Xiaoyong Yuan
https://arxiv.org/abs/2509.21436 https://

Position: Human Factors Reshape Adversarial Analysis in Human-AI Decision-Making Systems
As Artificial Intelligence (AI) increasingly supports human decision-making, its vulnerability to adversarial attacks grows. However, the existing adversarial analysis predominantly focuses on fully autonomous AI systems, where decisions are executed without human intervention. This narrow focus overlooks the complexities of human-AI collaboration, where humans interpret, adjust, and act upon AI-generated decisions. Trust, expectations, and cognitive behaviors influence how humans interact with…

Soret and Dufour effects in hot and dense QCD matter
Kamaljeet Singh, Kangkan Goswami, Raghunath Sahoo
https://arxiv.org/abs/2509.18946 https://arxiv.org/p…

Soret and Dufour effects in hot and dense QCD matter
The gradients act as invisible engines of transport, converting microscopic imbalances into macroscopic flows, and thus providing deep insights into the dynamics of physical systems. Thermal gradients do not merely drive the flow of heat, but they also set the microscopic constituents of the system into motion. In such scenarios, the constituents of the system not only transport energy but also diffuse collectively under the influence of these gradients. For the very first time, we present a fi…

Webinar: More Than Just Choice: How Religion, Race, and Identity Influence Food Decisions
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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…

The impact of internal versus external perturbations on close-in exoplanet architectures
Christina Schoettler, James E Owen
https://arxiv.org/abs/2510.03401 https://

The impact of internal versus external perturbations on close-in exoplanet architectures
Young planetary systems are subjected to different dynamical effects that can influence their orbital structure over time. In systems with more than one planet, other planets can internally influence each other, e.g. via planet-planet scattering. External perturbing effects also need to be taken into account, as stars do not form by themselves but together with other stars in young star-forming regions. This birth environment can externally affect young multi-planet systems, e.g. via fly-bys. P…

Social influence on complex networks as a perturbation to individual behavior
Dhruv Mittal, Fl\'avio L. Pinheiro, V\'itor V. Vasconcelos
https://arxiv.org/abs/2509.17948

Social influence on complex networks as a perturbation to individual behavior
Cooperation is fundamental to the functioning of biological and social systems in both human and animal populations, with the structure of interactions playing a crucial role. Previous studies have used networks to describe interactions and explore the evolution of cooperation, but with limited transposability to social settings due to biologically relevant assumptions. Exogenous processes -- that affect the individual and are not derived from social interactions -- even if unbiased, have a rol…

BRAID: Input-Driven Nonlinear Dynamical Modeling of Neural-Behavioral Data
Parsa Vahidi, Omid G. Sani, Maryam M. Shanechi
https://arxiv.org/abs/2509.18627 https://

BRAID: Input-Driven Nonlinear Dynamical Modeling of Neural-Behavioral Data
Neural populations exhibit complex recurrent structures that drive behavior, while continuously receiving and integrating external inputs from sensory stimuli, upstream regions, and neurostimulation. However, neural populations are often modeled as autonomous dynamical systems, with little consideration given to the influence of external inputs that shape the population activity and behavioral outcomes. Here, we introduce BRAID, a deep learning framework that models nonlinear neural dynamics un…

Markov Decision Processing Networks
Sanidhay Bhambay, Thirupathaiah Vasantam, Neil Walton
https://arxiv.org/abs/2509.24541 https://arxiv.org/pdf/2509.24541…

Markov Decision Processing Networks
We introduce Markov Decision Processing Networks (MDPNs) as a multiclass queueing network model where service is a controlled, finite-state Markov process. The model exhibits a decision-dependent service process where actions taken influence future service availability. Viewed as a two-sided queueing model, this captures settings such as assemble-to-order systems, ride-hailing platforms, cross-skilled call centers, and quantum switches. We first characterize the capacity region of MDPNs. Unli…

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…

CURE: Centroid-guided Unsupervised Representation Erasure for Facial Recognition Systems
Fnu Shivam, Nima Najafzadeh, Yenumula Reddy, Prashnna Gyawali
https://arxiv.org/abs/2509.19562

CURE: Centroid-guided Unsupervised Representation Erasure for Facial Recognition Systems
In the current digital era, facial recognition systems offer significant utility and have been widely integrated into modern technological infrastructures; however, their widespread use has also raised serious privacy concerns, prompting regulations that mandate data removal upon request. Machine unlearning has emerged as a powerful solution to address this issue by selectively removing the influence of specific user data from trained models while preserving overall model performance. However, …

The Hourglass-shaped Magnetic Fields and Dust Filaments in the HH 211 Protostellar Envelope
Youngwoo Choi, Woojin Kwon, Leslie W. Looney, Ian W. Stephens, Zhi-Yun Li, Floris F. S. van der Tak, John J. Tobin
https://arxiv.org/abs/2509.25764

The Hourglass-shaped Magnetic Fields and Dust Filaments in the HH 211 Protostellar Envelope
Magnetic fields influence the structure and evolution of protostellar systems, thus understanding their role is essential for probing the earliest stages of star formation. We present ALMA Band 3 and 6 polarized continuum observations at $\sim$0.5$^{\prime \prime}$ resolution toward the Class 0 protostellar system HH 211. Three dust filaments ($\sim$4000 au in length) are found in the HH 211 protostellar envelope, two of which are aligned with core-scale ($\sim$10,000 au) magnetic fields detect…

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The Formation of Ultra-short-period Planets under the Influence of the Nearby Planetary Companions
Jia Jun Zhu, Su Wang, Jianghui Ji, Yao Dong
https://arxiv.org/abs/2509.24199 h…

The Formation of Ultra-short-period Planets under the Influence of the Nearby Planetary Companions
Ultra-short-period (USP) planets, defined as those with orbital periods shorter than 1 day, provide valuable insights into planetary evolution under strong stellar tidal interactions. In this work, we investigate the formation of USP planets in two-planet systems consisting of an inner terrestrial planet accompanied by an outer hot Jupiter (HJ). Our simulation results show USP planets can form through a process driven by secular perturbations from the outer companion, which induce eccentricity …

Generative Adversarial Networks Applied for Privacy Preservation in Biometric-Based Authentication and Identification
Lubos Mjachky, Ivan Homoliak
https://arxiv.org/abs/2509.20024

Generative Adversarial Networks Applied for Privacy Preservation in Biometric-Based Authentication and Identification
Biometric-based authentication systems are getting broadly adopted in many areas. However, these systems do not allow participating users to influence the way their data is used. Furthermore, the data may leak and can be misused without the users' knowledge. In this paper, we propose a new authentication method that preserves the privacy of individuals and is based on a generative adversarial network (GAN). Concretely, we suggest using the GAN for translating images of faces to a visually priva…

Disorder-driven magnetic duality in the spin-$\frac{1}{2}$ system ktenasite, Cu$_\text{2.7}$Zn$_\text{2.3}$(SO$_\text{4}$)$_\text{2}$(OH)$_\text{6}\cdot$6H$_\text{2}$O
Kaushick K. Parui, Anton A. Kulbakov, Roman Gumeniuk, Eduardo Carrillo-Aravena, Mar\'ia Teresa Fern\'andez-D\'iaz, Stanislav Savvin, Artem Korshunov, Sergey Granovsky, Thomas Doert, Dmytro S. Inosov, Darren C. Peets

Disorder-driven magnetic duality in the spin-$\frac{1}{2}$ system ktenasite, Cu$_\text{2.7}$Zn$_\text{2.3}$(SO$_\text{4}$)$_\text{2}$(OH)$_\text{6}\cdot$6H$_\text{2}$O
Disorder in frustrated quantum systems can critically influence their magnetic ground states and drive exotic correlated behavior. In the $S = \frac{1}{2}$ system ktenasite, Cu$_\text{2.7}$Zn$_\text{2.3}$(SO$_\text{4}$)$_\text{2}$(OH)$_\text{6}\cdot$6H$_\text{2}$O, we show that structural disorder drives an unexpected dimensional crossover and stabilizes a rare coexistence of distinct magnetic states. Neutron diffraction reveals significant Cu/Zn mixing at the Cu2 site, which tunes the Cu$^{2+}…

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…

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…

Causal Fuzzing for Verifying Machine Unlearning
Anna Mazhar, Sainyam Galhotra
https://arxiv.org/abs/2509.16525 https://arxiv.org/pdf/2509.16525

Causal Fuzzing for Verifying Machine Unlearning
As machine learning models become increasingly embedded in decision-making systems, the ability to "unlearn" targeted data or features is crucial for enhancing model adaptability, fairness, and privacy in models which involves expensive training. To effectively guide machine unlearning, a thorough testing is essential. Existing methods for verification of machine unlearning provide limited insights, often failing in scenarios where the influence is indirect. In this work, we propose CAFÉ, a ne…

Some stability results for the fractional differential equations with two delays
Pragati Dutta, Sachin Bhalekar
https://arxiv.org/abs/2509.21937 https://ar…

Some stability results for the fractional differential equations with two delays
This paper investigates the stability properties of a nonlinear fractional differential equation with two discrete delays and a delay-dependent coefficient. Such equations arise in various biological and control systems where temporal delays influence feedback mechanisms. Two cases are analyzed: one where the first delay is zero, and the second acts through an exponential coefficient, and another where the first delay is fixed. We derive delay-independent stability conditions using linearizatio…

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…