Tootfinder

genetic_multiplex: Multiplex genetic interactions (2014)
Multiplex networks representing different types of genetic interactions, for different organisms. Layers represent (i) physical, (ii) association, (iii) co-localization, (iv) direct, and (v) suppressive, (vi) additive or synthetic genetic interaction. Edge direction (i,j) indicates gene i interacting with gene j.
This network has 325 nodes and 322 edges.
Tags: Biological, Gene regulation, Protein interactions, Unweigh…

CARMA: Context-Aware Situational Grounding of Human-Robot Group Interactions by Combining Vision-Language Models with Object and Action Recognition
Joerg Deigmoeller, Stephan Hasler, Nakul Agarwal, Daniel Tanneberg, Anna Belardinelli, Reza Ghoddoosian, Chao Wang, Felix Ocker, Fan Zhang, Behzad Dariush, Michael Gienger
https://ar…

CARMA: Context-Aware Situational Grounding of Human-Robot Group Interactions by Combining Vision-Language Models with Object and Action Recognition
We introduce CARMA, a system for situational grounding in human-robot group interactions. Effective collaboration in such group settings requires situational awareness based on a consistent representation of present persons and objects coupled with an episodic abstraction of events regarding actors and manipulated objects. This calls for a clear and consistent assignment of instances, ensuring that robots correctly recognize and track actors, objects, and their interactions over time. To achiev…

Nonabelian ferromagnets with three-body interactions
Alexios P. Polychronakos, Konstantinos Sfetsos
https://arxiv.org/abs/2506.19916 https://

Nonabelian ferromagnets with three-body interactions
We study the thermodynamics of nonabelian ferromagnets consisting of atoms in the fundamental representation of $SU(N)$ and interacting with two-body and three-body interactions. An intricate phase structure emerges, depending on the relative strength and sign of the two-body and three-body coupling constants. In the case where two-body interactions are ferromagnetic and three-body ones are antiferromagnetic, we uncover a rich cascade of phase transitions, the appearance of phases with two dist…

nematode_mammal: Global nematode–mammal interactions (2018)
A global interaction web of interactions between nematodes and their host mammal species, extracted from the helminthR package and dataset. Nodes are annotated with species-level information.
This network has 30516 nodes and 146683 edges.
Tags: Biological, Food web, Unweighted, Metadata

Road through Dark$\nu$ess: Probing dark matter-neutrino interactions using KM3-230213A
Ranjini Mondol, Subhadip Bouri, Akash Kumar Saha, Ranjan Laha
https://arxiv.org/abs/2506.19910

Road through Dark$ν$ess: Probing dark matter-neutrino interactions using KM3-230213A
KM3NeT has recently reported an event where a muon of energy $120^{+110}_{-60}$ PeV was observed at its ARCA detector, which can stem from a very high-energy neutrino interaction in the vicinity of the detector. Besides revolutionizing our understanding of high-energy neutrino sources, this event can serve as a valuable probe for studying Beyond the Standard Model (BSM) interactions of neutrinos. In this work, we study the dark matter (DM)-neutrino interaction by assuming the neutrino for the e…

Borel-Pad\'e exponential asymptotics for the discrete nonlinear Schr\"odinger model with next-to-nearest neighbour interactions
Christopher J. Lustri, In\^es Aniceto, Panayotis G. Kevrekidis
https://arxiv.org/abs/2506.21120

Borel-Padé exponential asymptotics for the discrete nonlinear Schrödinger model with next-to-nearest neighbour interactions
In the present work we study discrete nonlinear Schr{ö}dinger models combining nearest (NN) and next-nearest (NNN) neighbor interactions, motivated by experiments in waveguide arrays. While we consider the more experimentally accessible case of positive ratio $μ$ of NNN to NN interactions, we focus on the intriguing case of competing such interactions $(μ<0)$, where stationary states can exist only for $-1/4 < μ< 0$. We analyze the key eigenvalues for the stability of the pulse-like station…

Interradical motion can push magnetosensing precision towards quantum limits
Luke D. Smith, Farhan T. Chowdhury, Jonas Glatthard, Daniel R. Kattnig
https://arxiv.org/abs/2506.21389

Interradical motion can push magnetosensing precision towards quantum limits
Magnetosensitive spin-correlated radical-pairs (SCRPs) offer a promising platform for noise-robust quantum metrology. However, unavoidable interradical interactions, such as electron-electron dipolar and exchange couplings, alongside deleterious perturbations resulting from intrinsic radical motion, typically degrade their potential as magnetometers. In contrast to this, we show how structured molecular motion modulating interradical interactions in a live chemical sensor in cryptochrome can, i…

Study of higher-order interactions in unweighted, undirected networks using persistent homology
Udit Raj, Slobodan Maleti\'c, Sudeepto Bhattacharya
https://arxiv.org/abs/2506.19448

Study of higher-order interactions in unweighted, undirected networks using persistent homology
Persistent homology has been studied to better understand the structural properties and topology features of weighted networks. It can reveal hidden layers of information about the higher-order structures formed by non-pairwise interactions in a network. Studying of higher-order interactions (HoIs) of a system provides a more comprehensive understanding of the complex system; moreover, it is a more precise depiction of the system as many complex systems, such as ecological systems and biologica…

The Born-Oppenheimer approximation for a 1D 2 1 particle system with zero-range interactions
Claudio Cacciapuoti, Andrea Posilicano, Hamidreza Saberbaghi
https://arxiv.org/abs/2506.21457

The Born-Oppenheimer approximation for a 1D 2+1 particle system with zero-range interactions
We study the self-adjoint Hamiltonian that models the quantum dynamics of a 1D three-body system consisting of a light particle interacting with two heavy ones through a zero-range force. For an attractive interaction we determine the behavior of the eigenvalues below the essential spectrum in the regime $\varepsilon\ll 1$, where $\varepsilon$ is proportional to the square root of the mass ratio. We show that the $n$-th eigenvalue behaves as $$E_{n}(\varepsilon)=-α^{2}+|σ_{n}|\,α^{…

This is a quick tour of my personality, strengths and values.
It's purpose is to help others better understand me and get the most from our interactions.
#PersonalUserManual #UserManual #AboutMe

Pushing the limits of eccentricity in planet-disc interactions
Callum W. Fairbairn, Alexander J. Dittmann
https://arxiv.org/abs/2506.19917 https://

Pushing the limits of eccentricity in planet-disc interactions
Modelling the gravitational interaction between an eccentric perturber and a differentially shearing gas disc is a longstanding problem with various astrophysical applications, ranging from the evolution of planetary systems to the migration of black holes embedded in AGN discs. Recent work has promoted the use of a global, linear, modal approach for calculating the excited wake and the resulting feedback on the perturber's orbital evolution. In this work we perform a complementary suite of tar…

Synchronization of identical oscillators on a sphere: exact results with external forces and higher-order interactions
Guilherme S. Costa, Marcel Novaes, Ricardo Fariello, Marcus A. M. de Aguiar
https://arxiv.org/abs/2505.17255

Synchronization of identical oscillators on a sphere: exact results with external forces and higher-order interactions
We study the dynamics of the Kuramoto model on the sphere under higher-order interactions and an external periodic force. For identical oscillators, we introduce a novel way to incorporate three- and four-body interactions into the dynamics of the order parameter, allowing for a full dimensional reduction of this system. We discuss how such reduction can be implemented in two different ways and how they are related. When restricted to the equator, the dynamics is similar to that of the usual Ku…

'"Time handling is everywhere in software, but many programmers talk about the topic with dread and fear. Some warn about how difficult the topic is to understand, listing bizarre timezone edge cases as evidence of complexity. Others repeat advice like "just use UTC bro" as if it were an unconditional rule - if your program needs precise timekeeping or has user-facing datetime interactions, this advice will almost certainly cause bugs or confusing behavior. Here's a co…

Multisensory integration and sensory substitution across vision, audition, and haptics: Answering the what, which, and when in study protocols https://www.arxiv.org/abs/2507.18401

Multisensory Integration and Sensory Substitution Across Vision, Audition, and Haptics: Answering the What, Which, and When in Study Protocols
We experience the world through multiple senses that work together to create a cohesive perception, whether in daily life or immersive technologies. Understanding this multisensory integration (MSI) requires examining the interactions between sensory modalities, each with unique temporal dynamics and characteristics. While most research focuses on unimodal or bimodal cues, the integration of three or more modalities remains underexplored. MSI studies must account for factors like cross-modal co…

Static Contact Angles of Mixtures: Classical Density Functional Theory and Experimental Investigation
Benjamin Bursik, Nikolaos Karadimitriou, Holger Steeb, Joachim Gross
https://arxiv.org/abs/2506.21007

Static Contact Angles of Mixtures: Classical Density Functional Theory and Experimental Investigation
This work assesses a classical density functional theory (DFT) model for predicting macroscopic static contact angles of pure substances and mixtures by comparison to own experimental data. We employ a DFT with a Helmholtz energy functional based on the perturbed-chain statistical associating fluid theory (PC-SAFT) for the fluid-fluid interactions and an effective external potential for the solid-fluid interactions. The solid substrate is characterized by adjusting a single solid-solid interact…

A validated coupled three-dimensional hydrodynamic and spectral wind-wave model for the western north Atlantic Ocean
Maria Venolia, Reza Marsooli, Jaime R. Calzada
https://arxiv.org/abs/2505.18803

A validated coupled three-dimensional hydrodynamic and spectral wind-wave model for the western north Atlantic Ocean
Wind-wave and ocean current interactions affect critical coastal and oceanic processes, yet modeling these interactions presents significant challenges. The western North Atlantic Ocean provides an ideal test environment for coupled hydrodynamics and wind wave models, thanks to its energetic surface currents such as the Gulf Stream. This study evaluates a high-resolution coupled SCHISM WWM III model, utilizing NOAA's 'STOFS-3D-Atlantic' computational mesh, while incorporating three-dimensional …

Striped excitonic (super)solid in anisotropic semiconductors with screened exciton interactions
J. F. de Oliveira Neto, F. M. A. Guimar\~aes, Davi S. Dantas, F. M. Peeters, M. V. Milo\v{s}evi\'c, A. Chaves
https://arxiv.org/abs/2506.19685

Striped excitonic (super)solid in anisotropic semiconductors with screened exciton interactions
Within the Gross-Pitaevskii framework, we reveal the emergence of a crystallized phase of an exciton condensate in an atomically-thin anisotropic semiconductor, where screening of exciton-exciton interactions is introduced by a proximal doped graphene layer. While such screened interactions are expected to yield a hexagonal crystal lattice in the excitonic condensate in isotropic semiconductor quantum wells [see e.g. Phys. Rev. Lett. \textbf{108}, 060401 (2012)], here we show that for atomicall…

Enhancing User Engagement in Socially-Driven Dialogue through Interactive LLM Alignments
Jiashuo Wang, Kaitao Song, Chunpu Xu, Changhe Song, Yang Xiao, Dongsheng Li, Lili Qiu, Wenjie Li
https://arxiv.org/abs/2506.21497

Enhancing User Engagement in Socially-Driven Dialogue through Interactive LLM Alignments
Enhancing user engagement through interactions plays an essential role in socially-driven dialogues. While prior works have optimized models to reason over relevant knowledge or plan a dialogue act flow, the relationship between user engagement and knowledge or dialogue acts is subtle and does not guarantee user engagement in socially-driven dialogues. To this end, we enable interactive LLMs to learn user engagement by leveraging signals from the future development of conversations. Specificall…

A Visualization Framework for Exploring Multi-Agent-Based Simulations Case Study of an Electric Vehicle Home Charging Ecosystem
Kristoffer Christensen, Bo N{\o}rregaard J{\o}rgensen, Zheng Grace Ma
https://arxiv.org/abs/2506.20400

A Visualization Framework for Exploring Multi-Agent-Based Simulations Case Study of an Electric Vehicle Home Charging Ecosystem
Multi-agent-based simulations (MABS) of electric vehicle (EV) home charging ecosystems generate large, complex, and stochastic time-series datasets that capture interactions between households, grid infrastructure, and energy markets. These interactions can lead to unexpected system-level events, such as transformer overloads or consumer dissatisfaction, that are difficult to detect and explain through static post-processing. This paper presents a modular, Python-based dashboard framework, buil…

A Computational Approach for Modeling Platelet Adhesion Dynamics on Thrombogenic Surfaces
Ali Lotfian, Ehsan Roohi
https://arxiv.org/abs/2505.18936 https:/…

A Computational Approach for Modeling Platelet Adhesion Dynamics on Thrombogenic Surfaces
Platelet adhesion and aggregation are essential for primary hemostasis, forming a clot that quickly stops initial bleeding. Despite this critical role, the dynamic interactions of platelet receptors with exposed collagen and von Willebrand factor (vWF) at the injury site and how these interactions influence thrombus formation under varying blood flow conditions are not fully understood. This study aimed to investigate the mechanisms of platelet adhesion and aggregation on collagen- or vWF-coate…

Impact of the damping function in dispersion-corrected density functional theory on the properties of liquid water
K. Nikolas Lausch, Redouan El Haouari, Daniel Trzewik, J\"org Behler
https://arxiv.org/abs/2506.20371

Impact of the damping function in dispersion-corrected density functional theory on the properties of liquid water
Accounting for dispersion interactions is essential in approximate density functional theory (DFT). Often, a correction potential based on the London formula is added, which is damped at short distances to avoid divergence and double counting of interactions treated locally by the exchange-correlation functional. Most commonly, two forms of damping, known as zero- and Becke-Johnson (BJ)-damping, are employed and it is generally assumed that the choice has only a minor impact on performance even…

Layered Interactions: Exploring Non-Intrusive Digital Craftsmanship Design Through Lacquer Art Interfaces
Yan Dong, Hanjie Yu, Yanran Chen, Zipeng Zhang, Qiong Wu
https://arxiv.org/abs/2507.17430

Layered Interactions: Exploring Non-Intrusive Digital Craftsmanship Design Through Lacquer Art Interfaces
Integrating technology with the distinctive characteristics of craftsmanship has become a key issue in the field of digital craftsmanship. This paper introduces Layered Interactions, a design approach that seamlessly merges Human-Computer Interaction (HCI) technologies with traditional lacquerware craftsmanship. By leveraging the multi-layer structure and material properties of lacquerware, we embed interactive circuits and integrate programmable hardware within the layers, creating tangible in…

World-aware Planning Narratives Enhance Large Vision-Language Model Planner
Junhao Shi, Zhaoye Fei, Siyin Wang, Qipeng Guo, Jingjing Gong, Xipeng QIu
https://arxiv.org/abs/2506.21230

World-aware Planning Narratives Enhance Large Vision-Language Model Planner
Large Vision-Language Models (LVLMs) show promise for embodied planning tasks but struggle with complex scenarios involving unfamiliar environments and multi-step goals. Current approaches rely on environment-agnostic imitation learning that disconnects instructions from environmental contexts, causing models to struggle with context-sensitive instructions and rely on supplementary cues rather than visual reasoning during long-horizon interactions. In this work, we propose World-Aware Planning …

Extracting Interpretable Models from Tree Ensembles: Computational and Statistical Perspectives
Brian Liu, Rahul Mazumder, Peter Radchenko
https://arxiv.org/abs/2506.20114

Extracting Interpretable Models from Tree Ensembles: Computational and Statistical Perspectives
Tree ensembles are non-parametric methods widely recognized for their accuracy and ability to capture complex interactions. While these models excel at prediction, they are difficult to interpret and may fail to uncover useful relationships in the data. We propose an estimator to extract compact sets of decision rules from tree ensembles. The extracted models are accurate and can be manually examined to reveal relationships between the predictors and the response. A key novelty of our estimator…

Exact results for active particle models: from long-range interactions to first-passage properties
L\'eo Touzo
https://arxiv.org/abs/2507.17504 https://

Exact results for active particle models: from long-range interactions to first-passage properties
The goal of this thesis is to obtain new exact results for models of active particles in one dimension, focusing on two different aspects: their behavior in the presence of long-range interactions and their first-passage properties. In the first part we give an overview of existing exact results both for active particle models and for Brownian particles with long-range interactions (Riesz gases). The next two parts focus on how methods from these two fields can be combined and extended to deriv…

First direct search for light dark matter interactions in a transition-edge sensor
Christina Schwemmbauer, Guy Daniel Hadas, Yonit Hochberg, Katharina-Sophie Isleif, Friederike Januschek, Benjamin V. Lehmann, Axel Lindner, Adriana E. Lita, Manuel Meyer, Gulden Othman, Elmeri Rivasto, Jos\'e Alejandro Rubiera Gimeno
https://a…

First direct search for light dark matter interactions in a transition-edge sensor
We propose the use of transition-edge sensor (TES) single-photon detectors as a simultaneous target and sensor for direct dark matter searches, and report results from the first search of this kind. We perform a 489 h science run with a TES device optimized for the detection of 1064 nm photons, with a mass of ~0.2 ng and an energy threshold of ~0.3 eV, and set new limits on dark matter interactions with both electrons and nucleons for dark matter with mass below the MeV scale. With their excell…

A Framework for Generating Conversational Recommendation Datasets from Behavioral Interactions
Vinaik Chhetri, Yousaf Reza, Moghis Fereidouni, Srijata Maji, Umar Farooq, AB Siddique
https://arxiv.org/abs/2506.17285

A Framework for Generating Conversational Recommendation Datasets from Behavioral Interactions
Modern recommendation systems typically follow two complementary paradigms: collaborative filtering, which models long-term user preferences from historical interactions, and conversational recommendation systems (CRS), which interact with users in natural language to uncover immediate needs. Each captures a different dimension of user intent. While CRS models lack collaborative signals, leading to generic or poorly personalized suggestions, traditional recommenders lack mechanisms to interacti…

Cooperation and competition of basepairing and electrostatic interactions in mixtures of DNA nanostars and polylysine
Gabrielle R. Abraham, Tianhao Li, Anna Nguyen, William M. Jacobs, Omar A. Saleh
https://arxiv.org/abs/2507.16179

Cooperation and competition of basepairing and electrostatic interactions in mixtures of DNA nanostars and polylysine
Phase separation in biomolecular mixtures can result from multiple physical interactions, which may act either complementarily or antagonistically. In the case of protein--nucleic acid mixtures, charge plays a key role but can have contrasting effects on phase behavior. Attractive electrostatic interactions between oppositely charged macromolecules are screened by added salt, reducing the driving force for coacervation. By contrast, base-pairing interactions between nucleic acids are diminished…

Physics Of Eclipsing Binaries. VIII. Multiple systems
Miroslav Bro\v{z}, Kyle E. Conroy, Andrej Pr\v{s}a
https://arxiv.org/abs/2506.20866 https://

Physics Of Eclipsing Binaries. VIII. Multiple systems
Multiple stellar systems are common especially among O and B stars. In order to accurately describe their dynamics, interactions among components must be accounted for. In this work, we describe the new dynamical model in Phoebe, which could be used just for this purpose. The n-body model is based on the Reboundx numerical integrator and accounts for mutual perturbations, oblateness, relativistic effects, or light-time effects. The initial conditions can be set up as hierarchical or two-pairs g…

Opinion Dynamics with Highly Oscillating Opinions
V\'ictor A. Vargas-P\'erez, Jes\'us Gir\'aldez-Cru, Oscar Cord\'on
https://arxiv.org/abs/2506.20472

Opinion Dynamics with Highly Oscillating Opinions
Opinion Dynamics (OD) models are a particular case of Agent-Based Models in which the evolution of opinions within a population is studied. In most OD models, opinions evolve as a consequence of interactions between agents, and the opinion fusion rule defines how those opinions are updated. In consequence, despite being simplistic, OD models provide an explainable and interpretable mechanism for understanding the underlying dynamics of opinion evolution. Unfortunately, existing OD models mainly…

Near-surface Defects Break Symmetry in Water Adsorption on CeO$_{2-x}$(111)
Oscar Custance, Manuel Gonz\'alez Lastre, Kyungmin Kim, Estefan\'ia Fernandez-Villanueva, Pablo Pou, Masayuki Abe, Hossein Sepehri-Amin, Shigeki Kawai, M. Ver\'onica Ganduglia-Pirovano, Rub\'en P\'erez
https://arxiv.org/abs/2506.20680…

Near-surface Defects Break Symmetry in Water Adsorption on CeO$_{2-x}$(111)
Water interactions with oxygen-deficient cerium dioxide (CeO$_2$) surfaces are central to hydrogen production and catalytic redox reactions, but the atomic-scale details of how defects influence adsorption and reactivity remain elusive. Here, we unveil how water adsorbs on partially reduced CeO$_{2-x}$(111) using atomic force microscopy (AFM) with chemically sensitive, oxygen-terminated probes, combined with first-principles calculations. Our AFM imaging reveals water molecules as sharp, asymme…

A Radio-quiet AGN as a candidate counterpart to neutrino event IceCube-200615A
F. McBride, N. Schettino, J. D. O'Brien, W. Harwood, L. Perot, G. Temple, H. Ayalo Solares, A. Corsi, A. Coleiro, D. Cowen, D. B. Fox, Y. Li, K. Murase, A. Pellegrino, T. D. Russell, S. Wissel
https://arxiv.org/abs/2506.20064

A Radio-quiet AGN as a candidate counterpart to neutrino event IceCube-200615A
Follow-up observations of neutrino events have been a promising method for identifying sources of very-high-energy cosmic rays. Neutrinos are unambiguous tracers of hadronic interactions and cosmic rays. On June 15, 2020, IceCube detected a neutrino event with an 82.8% probability of being astrophysical in origin. To identify the astrophysical source of the neutrino, we used X-ray tiling observations to identify potential counterpart sources. We performed additional multiwavelength follow-up wi…

yeast_transcription: Yeast transcription network (2002)
Network of operons and their pairwise interactions, via transcription factor-based regulation, within the yeast Saccharomyces cerevisiae.
This network has 916 nodes and 1094 edges.
Tags: Biological, Gene regulation, Unweighted
https://networks.sk…

Variant effects on protein-protein interactions: methods, models and diseases
Sven Larsen-Ledet, Aleksandra Panfilova, Amelie Stein
https://arxiv.org/abs/2507.17446 https://

Variant effects on protein-protein interactions: methods, models and diseases
Advances in sequencing have revealed that each individual carries about 10,000 missense variants. For the vast majority, we do not know what the functional consequences - if any - will be. Further, mechanistic insight, such as structural details, would be immensely helpful in development of therapeutic approaches. Here we review recent developments in experimental and computational techniques aimed to assess the impact of variants on protein-protein interactions, including limitations and upcom…

Higher-Order Neuromorphic Ising Machines -- Autoencoders and Fowler-Nordheim Annealers are all you need for Scalability
Faiek Ahsan, Saptarshi Maiti, Zihao Chen, Jakob Kaiser, Ankita Nandi, Madhuvanthi Srivatsav, Johannes Schemmel, Andreas G. Andreou, Jason Eshraghian, Chetan Singh Thakur, Shantanu Chakrabartty
https://arxiv.org…

Higher-Order Neuromorphic Ising Machines -- Autoencoders and Fowler-Nordheim Annealers are all you need for Scalability
We report a higher-order neuromorphic Ising machine that exhibits superior scalability compared to architectures based on quadratization, while also achieving state-of-the-art quality and reliability in solutions with competitive time-to-solution metrics. At the core of the proposed machine is an asynchronous autoencoder architecture that captures higher-order interactions by directly manipulating Ising clauses instead of Ising spins, thereby maintaining resource complexity independent of inter…

Novel coincidence detection technique for precision measurement of neutron-capture-induced nuclear recoils
A J Biffl, Gerardo D Gonzalez, A N Villano, N Mirabolfathi
https://arxiv.org/abs/2506.20022

Novel coincidence detection technique for precision measurement of neutron-capture-induced nuclear recoils
Usually, detailed information about particle motions, energies, and interactions in the crystal lattice cannot be directly measured. Neutron capture (n,γ) can produce detectable, precise-energy nuclear recoils for detector calibration and solid-state physics studies. This paper proposes a first-of-its-kind experiment to measure the twin products of neutron capture - the postcapture deexcitation gamma and postcapture nuclear recoil. Simulations show that with a 1 mCi californium neutron source,…

Boundary integral equation analysis for spheroidal suspensions
Leo Crowder, Tianyue Li, Eduardo Corona, Shravan Veerapaneni
https://arxiv.org/abs/2506.20809

Boundary integral equation analysis for spheroidal suspensions
In this work, we provide a fast, spectrally accurate method for the evaluation of boundary integral operators (BIOs) on a suspension of prolate and oblate spheroids. We first derive formulas for the standard layer potential operators for the Laplace equation applied to an expansion of the integral densities in the appropriate spheroidal harmonic basis. These then lead to analytical expressions in solid harmonics that allow spectrally accurate evaluation of near-field particle interactions. Fina…

Evolutionary dynamics of pairwise and group cooperation in heterogeneous social networks
Dini Wang, Peng Yi, Gang Yan, Feng Fu
https://arxiv.org/abs/2506.19996

Evolutionary dynamics of pairwise and group cooperation in heterogeneous social networks
Understanding how cooperation evolves in structured populations remains a fundamental question across diverse disciplines. The problem of cooperation typically involves pairwise or group interactions among individuals. While prior studies have extensively investigated the role of networks in shaping cooperative dynamics, the influence of tie or connection strengths between individuals has not been fully understood. Here, we introduce a quenched mean-field based framework for analyzing both pair…

Toward Inclusive AI-Driven Development: Exploring Gender Differences in Code Generation Tool Interactions
Manaal Basha, Ivan Beschastnikh, Gema Rodriguez-Perez, Cleidson R. B. de Souza
https://arxiv.org/abs/2507.14770

Toward Inclusive AI-Driven Development: Exploring Gender Differences in Code Generation Tool Interactions
Context: The increasing reliance on Code Generation Tools (CGTs), such as Windsurf and GitHub Copilot, are revamping programming workflows and raising critical questions about fairness and inclusivity. While CGTs offer potential productivity enhancements, their effectiveness across diverse user groups have not been sufficiently investigated. Objectives: We hypothesize that developers' interactions with CGTs vary based on gender, influencing task outcomes and cognitive load, as prior research su…

Mirror-mediated long-range coupling and robust phase locking of spatially separated exciton-polariton condensates
Shuang Liang, Hassan Alnatah, Qi Yao, Jonathan Beaumariage, Ken West, Kirk Baldwin, Loren N. Pfeiffer, Natalia G. Berloff, David W. Snoke
https://arxiv.org/abs/2506.20924

Mirror-mediated long-range coupling and robust phase locking of spatially separated exciton-polariton condensates
Lattice arrays have been shown to have great value as simulators for complicated mathematical problems. In all physical lattices so far, coupling is only between nearest neighbors or nearest plus next-nearest neighbors; the geometry of the lattice controls the couplings of the sites. Realizing independently tunable, long-range interactions between distant condensates is a prerequisite for scalable analogue spin machines but has so far been restricted to short-range geometric coupling. In this w…

GenHSI: Controllable Generation of Human-Scene Interaction Videos
Zekun Li, Rui Zhou, Rahul Sajnani, Xiaoyan Cong, Daniel Ritchie, Srinath Sridhar
https://arxiv.org/abs/2506.19840

GenHSI: Controllable Generation of Human-Scene Interaction Videos
Large-scale pre-trained video diffusion models have exhibited remarkable capabilities in diverse video generation. However, existing solutions face several challenges in using these models to generate long movie-like videos with rich human-object interactions that include unrealistic human-scene interaction, lack of subject identity preservation, and require expensive training. We propose GenHSI, a training-free method for controllable generation of long human-scene interaction videos (HSI). Ta…

Flutter Suppression Enhancement in Coupled Nonlinear Airfoils with Intermittent Mixed Interactions
Qi Liu, Riccardo Muolo, Hiroya Nakao, Yong Xu
https://arxiv.org/abs/2506.20154

Flutter Suppression Enhancement in Coupled Nonlinear Airfoils with Intermittent Mixed Interactions
Flutter suppression facilitates the improvement of structural reliability to ensure the flight safety of an aircraft. In this study, we propose a novel strategy for enlarging amplitude death (AD) regime to enhance flutter suppression in two coupled identical airfoils with structural nonlinearity. Specifically, we introduce an intermittent mixed coupling strategy, i.e., a linear combination of intermittent instantaneous coupling and intermittent time-delayed coupling between two airfoils. Numeri…

yeast_transcription: Yeast transcription network (2002)
Network of operons and their pairwise interactions, via transcription factor-based regulation, within the yeast Saccharomyces cerevisiae.
This network has 916 nodes and 1094 edges.
Tags: Biological, Gene regulation, Unweighted
https://networks.sk…

SEED: A Structural Encoder for Embedding-Driven Decoding in Time Series Prediction with LLMs
Fengze Li, Yue Wang, Yangle Liu, Ming Huang, Dou Hong, Jieming Ma
https://arxiv.org/abs/2506.20167

SEED: A Structural Encoder for Embedding-Driven Decoding in Time Series Prediction with LLMs
Multivariate time series forecasting requires models to simultaneously capture variable-wise structural dependencies and generalize across diverse tasks. While structural encoders are effective in modeling feature interactions, they lack the capacity to support semantic-level reasoning or task adaptation. Conversely, large language models (LLMs) possess strong generalization capabilities but remain incompatible with raw time series inputs. This gap limits the development of unified, transferabl…

Finding the Easy Way Through -- the Probabilistic Gap Planner for Social Robot Navigation
Malte Probst, Raphael Wenzel, Tim Puphal, Monica Dasi, Nico A. Steinhardt, Sango Matsuzaki, Misa Komuro
https://arxiv.org/abs/2506.20320

Finding the Easy Way Through -- the Probabilistic Gap Planner for Social Robot Navigation
In Social Robot Navigation, autonomous agents need to resolve many sequential interactions with other agents. State-of-the art planners can efficiently resolve the next, imminent interaction cooperatively and do not focus on longer planning horizons. This makes it hard to maneuver scenarios where the agent needs to select a good strategy to find gaps or channels in the crowd. We propose to decompose trajectory planning into two separate steps: Conflict avoidance for finding good, macroscopic tr…

Few-body bound states of bosonic mixtures in two-dimensional optical lattices
Matias Volante-Abovich, Felipe Isaule, Luis Morales-Molina
https://arxiv.org/abs/2506.21385

Few-body bound states of bosonic mixtures in two-dimensional optical lattices
We study the formation of bound states in a binary mixture of a few bosons in square optical lattices. Using the exact diagonalization method, we find that bound clusters of all available bosons can form. We provide a comprehensive numerical examination of these bound states for a wide range of repulsive intraspecies and attractive interspecies interactions. In contrast to binary mixtures in one-dimensional chains, we reveal that the binding energy of the clusters shows a non-monotonic dependen…

Benchmarking and Parallelization of Electrostatic Particle-In-Cell for low-temperature Plasma Simulation by particle-thread Binding
Libn Varghese, Bhaskar Chaudhury, Miral Shah, Mainak Bandyopadhyay
https://arxiv.org/abs/2506.21524

Benchmarking and Parallelization of Electrostatic Particle-In-Cell for low-temperature Plasma Simulation by particle-thread Binding
The Particle-In-Cell (PIC) method for plasma simulation tracks particle phase space information using particle and grid data structures. High computational costs in 2D and 3D device-scale PIC simulations necessitate parallelization, with the Charge Deposition (CD) subroutine often becoming a bottleneck due to frequent particle-grid interactions. Conventional methods mitigate dependencies by generating private grids for each core, but this approach faces scalability issues. We propose a novel ap…

Replaced article(s) found for physics.atom-ph. https://arxiv.org/list/physics.atom-ph/new
[1/1]:
- Ultracold Interactions between Ions and Polar Molecules
Leon Karpa, Olivier Dulieu

PolyGuard: Massive Multi-Domain Safety Policy-Grounded Guardrail Dataset
Mintong Kang, Zhaorun Chen, Chejian Xu, Jiawei Zhang, Chengquan Guo, Minzhou Pan, Ivan Revilla, Yu Sun, Bo Li
https://arxiv.org/abs/2506.19054

PolyGuard: Massive Multi-Domain Safety Policy-Grounded Guardrail Dataset
As LLMs become widespread across diverse applications, concerns about the security and safety of LLM interactions have intensified. Numerous guardrail models and benchmarks have been developed to ensure LLM content safety. However, existing guardrail benchmarks are often built upon ad hoc risk taxonomies that lack a principled grounding in standardized safety policies, limiting their alignment with real-world operational requirements. Moreover, they tend to overlook domain-specific risks, while…

Transport Evidence for Wigner Crystals in Monolayer MoTe2
Mingjie Zhang, Zhenyu Wang, Yifan Jiang, Yaotian Liu, Kenji Watanabe, Takashi Taniguchi, Song Liu, Shiming Lei, Yongqing Li, Yang Xu
https://arxiv.org/abs/2506.20392

Transport Evidence for Wigner Crystals in Monolayer MoTe2
The crystallization of charge carriers, dubbed the Wigner crystal, is anticipated at low densities in clean two-dimensional electronic systems (2DES). While there has been extensive investigation across diverse platforms, probing spontaneous charge and spin ordering is hindered by disorder effects and limited interaction energies. Here, we report transport evidence for Wigner crystals with antiferromagnetic exchange interactions in high-quality, hexagonal boron nitride encapsulated monolayer Mo…

Two-mode hyperradiant lasing in a system of two quantum dots embedded in a bimodal photonic crystal cavity
Lavakumar Addepalli, P. K. Pathak
https://arxiv.org/abs/2506.21202

Two-mode hyperradiant lasing in a system of two quantum dots embedded in a bimodal photonic crystal cavity
We propose a scheme for two-mode hyperradiant lasing in a system comprising two incoherently pumped quantum dots (QDs) coupled to a bimodal photonic crystal cavity. To account for the exciton-phonon interactions, we employ a time-convolutionless polaron-transformed master equation. Both resonant and off-resonant couplings of the QDs to the cavity modes are considered, and we analyze the resulting radiance witness as well as the intra- and inter-mode photon correlations. Furthermore, we demonstr…

Interplay between Symmetry Breaking and Interactions in a Symmetry Protected Topological Phase
Parameshwar R. Pasnoori, Patrick Azaria
https://arxiv.org/abs/2506.19771

Interplay between Symmetry Breaking and Interactions in a Symmetry Protected Topological Phase
We solve the one dimensional massive Thirring model or equivalently the sine-Gordon model in the repulsive regime with general Dirichlet boundary conditions, which are characterized by two boundary fields $ϕ_{L,R}$ associated with the left and right boundaries respectively. In the presence of these boundary fields, which explicitly break the charge conjugation symmetry, the system exhibits a duality symmetry which changes the sign of the mass parameter $m_0$ and shifts the values of the bounda…

Lightweight Fingernail Haptic Device: Unobstructed Fingerpad Force and Vibration Feedback for Enhanced Virtual Dexterous Manipulation
Yunxiu Xu, Siyu Wang, Shoichi Hasegawa
https://arxiv.org/abs/2506.21417

Lightweight Fingernail Haptic Device: Unobstructed Fingerpad Force and Vibration Feedback for Enhanced Virtual Dexterous Manipulation
This study presents a lightweight, wearable fingertip haptic device that provides physics-based haptic feedback for dexterous manipulation in virtual environments without hindering real-world interactions. The device, designed with thin strings and actuators attached to the fingernails, ensures minimal weight (1.55 g per finger) and preserves finger flexibility. Integrating the software with a physics engine renders multiple types of haptic feedback (grip force, collision, and sliding vibration…

Towards Two-Stage Counterfactual Learning to Rank
Shashank Gupta, Yiming Liao, Maarten de Rijke
https://arxiv.org/abs/2506.20854 https://

Towards Two-Stage Counterfactual Learning to Rank
Counterfactual learning to rank (CLTR) aims to learn a ranking policy from user interactions while correcting for the inherent biases in interaction data, such as position bias. Existing CLTR methods assume a single ranking policy that selects top-K ranking from the entire document candidate set. In real-world applications, the candidate document set is on the order of millions, making a single-stage ranking policy impractical. In order to scale to millions of documents, real-world ranking syst…

Neel Skyrmion interactions derived by their arrangement in regular lattices
Ioanna Karagianni, Ioannis Panagiotopoulos
https://arxiv.org/abs/2506.18840 htt…

Neel Skyrmion interactions derived by their arrangement in regular lattices
The coarse-grained interactions between Néel skyrmions, stabilized by interfacial Dzyaloshinskii-Moriya coupling (iDMI), are studied through the properties of their hexagonal lattices by micromagnetic simulations. The interactions with the film edges are excluded by imposing periodic boundary conditions. The dependence of skyrmion size and interaction energy on the distance is derived. Two types of behavior are observed depending on the value of iDMI compared to the critical value Dc above whi…

plant_pol_kato: Kato plant-pollinator web
A bipartite network of plants and pollinators from Kyoto University Forest of Ashu, Japan, from 1984 to 1987. Edge weights represent frequency of interactions.
This network has 772 nodes and 1206 edges.
Tags: Biological, Food web, Weighted
https://networks.skewed.d…

Extracting the kinetic freeze-out properties of high energy pp collisions at the LHC with event shape classifiers
Jialin He, Xinye Peng, Zhongbao Yin, Liang Zheng
https://arxiv.org/abs/2506.20612

Extracting the kinetic freeze-out properties of high energy pp collisions at the LHC with event shape classifiers
Event shape measurements are crucial for understanding the underlying event and multiple-parton interactions (MPIs) in high energy proton proton (pp) collisions. In this paper, the Tsallis Blast-Wave model with independent non-extensive parameters for mesons and baryons, was applied to analyze transverse momentum spectra of charged pions, kaons, and protons in pp collision events at $\sqrt{s}=13$ TeV classified by event shape estimators relative transverse event activity, spherocity, and flatte…

Thermal transport characteristics of impinging ferrofluid droplets in the presence of a magnetic field
Ram Krishna Shah
https://arxiv.org/abs/2506.20284 ht…

Thermal transport characteristics of impinging ferrofluid droplets in the presence of a magnetic field
Droplet interactions with solid surfaces are fundamental to natural phenomena and hold significant commercial relevance across diverse applications. While the impingement dynamics of conventional aqueous droplets on solid substrates are well-characterized, the behavior of non-aqueous droplets, particularly those influenced by external force fields like electric or magnetic fields, remains a less explored domain. This study addresses this gap by investigating the impact of a magnetic field on th…

Proto-neutron Stars with Dark Matter Admixture: A Single-Fluid Approach
Adamu Issifu, D\'ebora P. Menezes, Tobias Frederico
https://arxiv.org/abs/2506.21378

Proto-neutron Stars with Dark Matter Admixture: A Single-Fluid Approach
This work investigates the impact of dark matter (DM) on the microscopic and macroscopic properties of proto-neutron stars (PNSs). We employ a single-fluid framework in which DM interacts with ordinary matter (OM) via the Higgs portal and remains in thermal equilibrium through non-gravitational interactions. Using a quasi-static approximation, we analyze the evolution of PNSs during the Kelvin--Helmholtz phase by varying the DM mass while keeping the entropy per baryon and lepton fraction fixed…

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…

Cooperative Circumnavigation for Multi-Quadrotor Systems via Onboard Sensing
Xueming Liu, Lin Li, Xiang Zhou, Qingrui Zhang, Tianjiang Hu
https://arxiv.org/abs/2506.20954

Cooperative Circumnavigation for Multi-Quadrotor Systems via Onboard Sensing
A cooperative circumnavigation framework is proposed for multi-quadrotor systems to enclose and track a moving target without reliance on external localization systems. The distinct relationships between quadrotor-quadrotor and quadrotor-target interactions are evaluated using a heterogeneous perception strategy and corresponding state estimation algorithms. A modified Kalman filter is developed to fuse visual-inertial odometry with range measurements to enhance the accuracy of inter-quadrotor …

Confusion-driven machine learning of structural phases of a flexible, magnetic Stockmayer polymer
Dilina Perera, Samuel McAllister, Joan Josep Cerd\`a, Thomas Vogel
https://arxiv.org/abs/2506.20899

Confusion-driven machine learning of structural phases of a flexible, magnetic Stockmayer polymer
We use a semi-supervised, neural-network based machine learning technique, the confusion method, to investigate structural transitions in magnetic polymers, which we model as chains of magnetic colloidal nanoparticles characterized by dipole-dipole and Lennard-Jones interactions. As input for the neural network we use the particle positions and magnetic dipole moments of equilibrium polymer configurations, which we generate via replica-exchange Wang--Landau simulations. We demonstrate that by m…

How to use quantum computers for biomolecular free energies
Jakob G\"unther, Thomas Weymuth, Moritz Bensberg, Freek Witteveen, Matthew S. Teynor, F. Emil Thomasen, Valentina Sora, William Bro-J{\o}rgensen, Raphael T. Husistein, Mihael Erakovic, Marek Miller, Leah Weisburn, Minsik Cho, Marco Eckhoff, Aram W. Harrow, Anders Krogh, Troy Van Voorhis, Kresten Lindorff-Larsen, Gemma Solomon, Markus Reiher, Matthias Christandl

How to use quantum computers for biomolecular free energies
Free energy calculations are at the heart of physics-based analyses of biochemical processes. They allow us to quantify molecular recognition mechanisms, which determine a wide range of biological phenomena from how cells send and receive signals to how pharmaceutical compounds can be used to treat diseases. Quantitative and predictive free energy calculations require computational models that accurately capture both the varied and intricate electronic interactions between molecules as well as …

CovDocker: Benchmarking Covalent Drug Design with Tasks, Datasets, and Solutions
Yangzhe Peng, Kaiyuan Gao, Liang He, Yuheng Cong, Haiguang Liu, Kun He, Lijun Wu
https://arxiv.org/abs/2506.21085

CovDocker: Benchmarking Covalent Drug Design with Tasks, Datasets, and Solutions
Molecular docking plays a crucial role in predicting the binding mode of ligands to target proteins, and covalent interactions, which involve the formation of a covalent bond between the ligand and the target, are particularly valuable due to their strong, enduring binding nature. However, most existing docking methods and deep learning approaches hardly account for the formation of covalent bonds and the associated structural changes. To address this gap, we introduce a comprehensive benchmark…

From Local Interactions to Global Operators: Scalable Gaussian Process Operator for Physical Systems
Sawan Kumar, Tapas Tripura, Rajdip Nayek, Souvik Chakraborty
https://arxiv.org/abs/2506.15906

From Local Interactions to Global Operators: Scalable Gaussian Process Operator for Physical Systems
Operator learning offers a powerful paradigm for solving parametric partial differential equations (PDEs), but scaling probabilistic neural operators such as the recently proposed Gaussian Processes Operators (GPOs) to high-dimensional, data-intensive regimes remains a significant challenge. In this work, we introduce a novel, scalable GPO, which capitalizes on sparsity, locality, and structural information through judicious kernel design. Addressing the fundamental limitation of cubic computat…

drosophila_flybi: Fruit fly protein interactions (Drosophila melanogaster)
Binary protein-protein interactions (PPIs) for Drosophila melanogaster, containing 8723 PPIs among 2939 proteins. The iteractions were identified using a yeast two-hybrid (Y2H) analysis.
This network has 2939 nodes and 8723 edges.
Tags: Biological, Protein interactions, Unweighted

RecCoT: Enhancing Recommendation via Chain-of-Thought
Shuo Yang, Jiangxia Cao, Haipeng Li, Yuqi Mao, Shuchao Pang
https://arxiv.org/abs/2506.21032 https://…

RecCoT: Enhancing Recommendation via Chain-of-Thought
In real-world applications, users always interact with items in multiple aspects, such as through implicit binary feedback (e.g., clicks, dislikes, long views) and explicit feedback (e.g., comments, reviews). Modern recommendation systems (RecSys) learn user-item collaborative signals from these implicit feedback signals as a large-scale binary data-streaming, subsequently recommending other highly similar items based on users' personalized historical interactions. However, from this collaborat…

Relativistic corrections to hadron-hadron correlation function
Zeyu Zeng, Baoyi Chen, Jiaxing Zhao
https://arxiv.org/abs/2506.19240 https://

Relativistic corrections to hadron-hadron correlation function
Femtoscopy offers a sensitive probe of hadron emission sources and hadronic interactions. In this study, we examine relativistic corrections to scattering phase shifts and correlation functions using the two-body Dirac equation framework. We analyze the impact of the Darwin term and spin-dependent potentials, showing that these relativistic effects, especially spin-related interactions, significantly enhance the proton-proton correlation function. Our findings emphasize the necessity of includi…

Quantum phase transition from a superfluid to a Mott insulator in a gas of ultracold atoms
Markus Greiner, Olaf Mandel, Tilman Esslinger, Theodor W H\"ansch, Immanuel Bloch
https://arxiv.org/abs/2506.21303

Quantum phase transition from a superfluid to a Mott insulator in a gas of ultracold atoms
For a system at a temperature of absolute zero, all thermal fluctuations are frozen out, while quantum fluctuations prevail. These microscopic quantum fluctuations can induce a macroscopic phase transition in the ground state of a many-body system when the relative strength of two competing energy terms is varied across a critical value. Here we observe such a quantum phase transition in a Bose-Einstein condensate with repulsive interactions, held in a three-dimensional optical lattice potentia…

LLM-enhanced Interactions in Human-Robot Collaborative Drawing with Older Adults
Marianne Bossema, Somaya Ben Allouch, Aske Plaat, Rob Saunders
https://arxiv.org/abs/2506.18711

LLM-enhanced Interactions in Human-Robot Collaborative Drawing with Older Adults
The goal of this study is to identify factors that support and enhance older adults' creative experiences in human-robot co-creativity. Because the research into the use of robots for creativity support with older adults remains underexplored, we carried out an exploratory case study. We took a participatory approach and collaborated with professional art educators to design a course Drawing with Robots for adults aged 65 and over. The course featured human-human and human-robot drawing activit…

A Review of Personalisation in Human-Robot Collaboration and Future Perspectives Towards Industry 5.0
James Fant-Male, Roel Pieters
https://arxiv.org/abs/2506.20447

A Review of Personalisation in Human-Robot Collaboration and Future Perspectives Towards Industry 5.0
The shift in research focus from Industry 4.0 to Industry 5.0 (I5.0) promises a human-centric workplace, with social and well-being values at the centre of technological implementation. Human-Robot Collaboration (HRC) is a core aspect of I5.0 development, with an increase in adaptive and personalised interactions and behaviours. This review investigates recent advancements towards personalised HRC, where user-centric adaption is key. There is a growing trend for adaptable HRC research, however …

genetic_multiplex: Multiplex genetic interactions (2014)
Multiplex networks representing different types of genetic interactions, for different organisms. Layers represent (i) physical, (ii) association, (iii) co-localization, (iv) direct, and (v) suppressive, (vi) additive or synthetic genetic interaction. Edge direction (i,j) indicates gene i interacting with gene j.
This network has 18222 nodes and 170899 edges.
Tags: Biological, Gene regulation, Protein interactions, Un…

Replaced article(s) found for physics.flu-dyn. https://arxiv.org/list/physics.flu-dyn/new
[1/1]:
- A generic framework for extending Miles' approach to wind-wave interactions
Christophe Chaubet, Miguel A. Manna, Norbert Kern

Bridging Classical Molecular Dynamics and Quantum Foundations for Comprehensive Protein Structural Analysis
Don Roosan, Rubayat Khan, Tiffany Khou, Saif Nirzhor, Fahmida Hai, Brian Provencher
https://arxiv.org/abs/2506.20830

Bridging Classical Molecular Dynamics and Quantum Foundations for Comprehensive Protein Structural Analysis
The objective of this paper is to investigate the structural stability, dynamic properties, and potential interactions among Amyloid Precursor Protein (APP), Tau, and Alpha-synuclein through a series of molecular dynamics simulations that integrate publicly available structural data, detailed force-field parameters, and comprehensive analytical protocols. By focusing on these three proteins, which are each implicated in various neurodegenerative disorders, the study aims to elucidate how their …

interactome_pdz: PDZ-domain interactome (2005)
A network of PDZ-domain-mediated protein–protein binding interactions, extracted from the PDZBase database. Nodes represent proteins and an edge represents a binding interaction between two proteins.
This network has 212 nodes and 244 edges.
Tags: Biological, Protein interactions, Unweighted

High-temperature helical edge states in BiSbTeSe$_2$/graphene van der Waals heterostructure
Yoichi Tanabe, Ngoc Han Tu, Ming-Chun Jiang, Yi Ling Chiew, Mitsutaka Haruta, Kiyohiro Adachi, David Pomaranski, Ryo Ito, Yuya Shimazaki, Daisuke Hashizume, Xiuzhen Yu, Guang-Yu Guo, Ryotaro Arita, Michihisa Yamamoto
https://arxiv.org/abs…

High-temperature helical edge states in BiSbTeSe$_2$/graphene van der Waals heterostructure
Van der Waals heterostructures have been used to tailor atomic layers into various artificial materials through interactions at heterointerfaces. The interplay between the band gap created by the band folding of the interfacial potential and the band inversion driven by enhanced spin-orbit interaction (SOI) through band hybridization enables us to realize a two-dimensional topological insulator (2D-TI). Here we report the realization of graphene 2D-TIs by epitaxial growth of three-dimensional t…

Domain Knowledge-Enhanced LLMs for Fraud and Concept Drift Detection
Ali \c{S}enol, Garima Agrawal, Huan Liu
https://arxiv.org/abs/2506.21443 https://arxiv.org/pdf/2506.21443 https://arxiv.org/html/2506.21443
arXiv:2506.21443v1 Announce Type: new
Abstract: Detecting deceptive conversations on dynamic platforms is increasingly difficult due to evolving language patterns and Concept Drift (CD)\-i.e., semantic or topical shifts that alter the context or intent of interactions over time. These shifts can obscure malicious intent or mimic normal dialogue, making accurate classification challenging. While Large Language Models (LLMs) show strong performance in natural language tasks, they often struggle with contextual ambiguity and hallucinations in risk\-sensitive scenarios. To address these challenges, we present a Domain Knowledge (DK)\-Enhanced LLM framework that integrates pretrained LLMs with structured, task\-specific insights to perform fraud and concept drift detection. The proposed architecture consists of three main components: (1) a DK\-LLM module to detect fake or deceptive conversations; (2) a drift detection unit (OCDD) to determine whether a semantic shift has occurred; and (3) a second DK\-LLM module to classify the drift as either benign or fraudulent. We first validate the value of domain knowledge using a fake review dataset and then apply our full framework to SEConvo, a multiturn dialogue dataset that includes various types of fraud and spam attacks. Results show that our system detects fake conversations with high accuracy and effectively classifies the nature of drift. Guided by structured prompts, the LLaMA\-based implementation achieves 98\% classification accuracy. Comparative studies against zero\-shot baselines demonstrate that incorporating domain knowledge and drift awareness significantly improves performance, interpretability, and robustness in high\-stakes NLP applications.
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DeepQuark: deep-neural-network approach to multiquark bound states
Wei-Lin Wu, Lu Meng, Shi-Lin Zhu
https://arxiv.org/abs/2506.20555 https://

DeepQuark: deep-neural-network approach to multiquark bound states
For the first time, we implement the deep-neural-network-based variational Monte Carlo approach for the multiquark bound states, whose complexity surpasses that of electron or nucleon systems due to strong SU(3) color interactions. We design a novel and high-efficiency architecture, DeepQuark, to address the unique challenges in multiquark systems such as stronger correlations, extra discrete quantum numbers, and intractable confinement interaction. Our method demonstrates competitive performan…

Reality Proxy: Fluid Interactions with Real-World Objects in MR via Abstract Representations
Xiaoan Liu, Difan Jia, Xianhao Carton Liu, Mar Gonzalez-Franco, Chen Zhu-Tian
https://arxiv.org/abs/2507.17248

Reality Proxy: Fluid Interactions with Real-World Objects in MR via Abstract Representations
Interacting with real-world objects in Mixed Reality (MR) often proves difficult when they are crowded, distant, or partially occluded, hindering straightforward selection and manipulation. We observe that these difficulties stem from performing interaction directly on physical objects, where input is tightly coupled to their physical constraints. Our key insight is to decouple interaction from these constraints by introducing proxies-abstract representations of real-world objects. We embody th…

Experimental Determination of BSM Triple Higgs Couplings at the HL-LHC with Neural Networks
Markus Frank, Sven Heinemeyer, Margarete M\"uhlleitner, Kateryna Radchenko
https://arxiv.org/abs/2506.18981

Experimental Determination of BSM Triple Higgs Couplings at the HL-LHC with Neural Networks
The shape of the Higgs potential is modified by the presence of additional scalar fields, as predicted in many Beyond-Standard-Model (BSM) scenarios. In such cases, deviations in the Higgs self-interactions, in particular the trilinear Higgs couplings, could serve to disentangle the physics beyond the Standard Model (SM). While the SM predicts only one trilinear Higgs coupling, extended scalar sectors allow for additional self-interactions that can manifest themselves in Higgs pair production, …

DualEquiNet: A Dual-Space Hierarchical Equivariant Network for Large Biomolecules
Junjie Xu, Jiahao Zhang, Mangal Prakash, Xiang Zhang, Suhang Wang
https://arxiv.org/abs/2506.19862

DualEquiNet: A Dual-Space Hierarchical Equivariant Network for Large Biomolecules
Geometric graph neural networks (GNNs) that respect E(3) symmetries have achieved strong performance on small molecule modeling, but they face scalability and expressiveness challenges when applied to large biomolecules such as RNA and proteins. These systems require models that can simultaneously capture fine-grained atomic interactions, long-range dependencies across spatially distant components, and biologically relevant hierarchical structure, such as atoms forming residues, which in turn f…

drosophila_flybi: Fruit fly protein interactions (Drosophila melanogaster)
Binary protein-protein interactions (PPIs) for Drosophila melanogaster, containing 8723 PPIs among 2939 proteins. The iteractions were identified using a yeast two-hybrid (Y2H) analysis.
This network has 2939 nodes and 8723 edges.
Tags: Biological, Protein interactions, Unweighted

Not All Features Deserve Attention: Graph-Guided Dependency Learning for Tabular Data Generation with Language Models
Zheyu Zhang, Shuo Yang, Bardh Prenkaj, Gjergji Kasneci
https://arxiv.org/abs/2507.18504

Not All Features Deserve Attention: Graph-Guided Dependency Learning for Tabular Data Generation with Language Models
Large Language Models (LLMs) have shown strong potential for tabular data generation by modeling textualized feature-value pairs. However, tabular data inherently exhibits sparse feature-level dependencies, where many feature interactions are structurally insignificant. This creates a fundamental mismatch as LLMs' self-attention mechanism inevitably distributes focus across all pairs, diluting attention on critical relationships, particularly in datasets with complex dependencies or semanticall…

Electric-field Quantum Sensing Exploiting a Photogenerated Charge-transfer Triplet State in a Molecular Semiconductor
Niccol\`o Fontana, Mikhail V. Vaganov, Gabriel Moise, William K. Myers, Kun Peng, Arzhang Ardavan, Junjie Liu
https://arxiv.org/abs/2506.19640

Electric-field Quantum Sensing Exploiting a Photogenerated Charge-transfer Triplet State in a Molecular Semiconductor
Molecular spin systems are promising platforms for quantum sensing due to their chemically tunable Hamiltonians, enabling tailored coherence properties and interactions with external fields. However, electric field sensing remains challenging owing to typically weak spin-electric coupling (SEC) and limited directional sensitivity. Addressing these issues using heavy atoms exhibiting strong atomic spin-orbit couplings (SOC) often compromises spin coherence times. Here, we demonstrate coherent el…

celegans_interactomes: C. elegans interactomes (2009)
Ten networks of protein-protein interactions in Caenorhabditis elegans (nematode), from yeast two-hybrid experiments, biological process maps, literature curation, orthologous interactions, and genetic interactions. The WI8 network combines WI2004, WI2007 and BPmaps, while the Integrated Network combines data from all sources.
This network has 6176 nodes and 178151 edges.
Tags: Biological, Protein interactions, Unweighte…

Multi-partonic interactions, iterated discontinuities and the virtuality expansion in deep inelastic scattering
Zeno Capatti, Lucien Huber, Michael Ruf
https://arxiv.org/abs/2506.16489

Multi-partonic interactions, iterated discontinuities and the virtuality expansion in deep inelastic scattering
We introduce a perturbative model that accounts for the contribution of multi-partonic interactions to collider observables. A key feature of this multi-parton model is that cross sections are organised in terms of building blocks that are separately infrared-finite in virtue of the KLN theorem. We find compact expressions for these building blocks in terms of double discontinuities of Feynman-type integrals obtained by endowing a vacuum graph with additional topological information. The framew…

Dissipative quantum North-East-Center model: steady-state phase diagram, universality and nonergodic dynamics
Pietro Brighi, Alberto Biella
https://arxiv.org/abs/2506.19011

Dissipative quantum North-East-Center model: steady-state phase diagram, universality and nonergodic dynamics
In this work we study the dissipative quantum North-East-Center (NEC) model: a two-dimensional spin-1/2 lattice subject to chiral, kinetically constrained dissipation and coherent quantum interactions. This model combines kinetic constraints and chirality at the dissipative level, implementing local incoherent spin flips conditioned by an asymmetric majority-vote rule. Through a cluster mean-field approach, we determine the steady-state phase diagram of the NEC model under different Hamiltonian…

qa_user: User interactions on Q&A websites (2016)
Networks of interactions among users from four online Q&A sites: Stack Overflow, Math Overflow, Super User, and Ask Ubuntu. A directed edge (i,j) indicates a user i responded to user j's post. Edges are timestamped. For each Q&A site, four differently defined networks are provided, based on the definition of an edge: (i) a user answered a question, (ii) a user commented on a question, (iii) a user commented on an answer…

Lepton flavor violating top quark FCNC at the $\mu$TRISTAN
Abhik Sarkar
https://arxiv.org/abs/2506.18015 https://arxiv.org/pdf/2506.1…

Lepton flavor violating top quark FCNC at the $μ$TRISTAN
We investigate charged lepton flavor violating top quark flavor-changing neutral current interactions at the proposed asymmetric muon-electron collision stage of the $μ$TRISTAN collider, operating at a center-of-mass energy of 346 GeV. Specifically, we study the process $μ^{+} e^{-} \rightarrow t q$ ($t \overline{q} + \overline{t}q$) with $q = u, c$, within the framework of three classes of four-fermion contact interactions: scalar, vector, and tensor operators. A cut-based analysis is perfor…

mist: MIST protein interaction database (2020)
The Molecular Interaction Search Tool (MIST) is a comprehensive resource of molecular interactions, assembled from severla primary sources. MIST currently supports several species, including:.
This network has 13271 nodes and 550375 edges.
Tags: Biological, Protein interactions, Unweighted

facebook_wall: Facebook wall posts (2009)
Friendship relationships and interactions (wall posts) for a subset of the Facebook social network in 2009, recorded over a 2 year period. Edge directed edge represents a post by one user on another user's FB wall.
This network has 46952 nodes and 876993 edges.
Tags: Social, Online, Temporal, Multigraph

fresh_webs: Freshwater stream webs
A set of 26 networks of trophic-level species interactions in streams in New Zealand, Maine and North Carolina. Networks include the identities of aquatic insect, algae and fish species and their trophic interactions. Excel and plain text adjacency matrices available; webs can be downloaded individually or as a group.
This network has 71 nodes and 148 edges.
Tags: Biological, Food web, Unweighted, Metadata

nematode_mammal: Global nematode–mammal interactions (2018)
A global interaction web of interactions between nematodes and their host mammal species, extracted from the helminthR package and dataset. Nodes are annotated with species-level information.
This network has 30516 nodes and 146683 edges.
Tags: Biological, Food web, Unweighted, Metadata

nematode_mammal: Global nematode–mammal interactions (2018)
A global interaction web of interactions between nematodes and their host mammal species, extracted from the helminthR package and dataset. Nodes are annotated with species-level information.
This network has 30516 nodes and 146683 edges.
Tags: Biological, Food web, Unweighted, Metadata

interactome_yeast: Coulomb yeast interactome (2005)
A network of protein-protein binding interactions among yeast proteins. Nodes represent proteins found in yeast (Saccharomyces cerevisiae) and an edge represents a binding interaction between two proteins.
This network has 1870 nodes and 2277 edges.
Tags: Biological, Protein interactions, Unweighted

interactome_figeys: Figeys human interactome (2007)
A network of human proteins and their binding interactions. Nodes represent proteins and an edge represents an interaction between two proteins, as inferred using a mass spectrometry‐based approach.
This network has 2239 nodes and 6452 edges.
Tags: Biological, Protein interactions, Unweighted

nematode_mammal: Global nematode–mammal interactions (2018)
A global interaction web of interactions between nematodes and their host mammal species, extracted from the helminthR package and dataset. Nodes are annotated with species-level information.
This network has 30516 nodes and 146683 edges.
Tags: Biological, Food web, Unweighted, Metadata

slashdot_zoo: Slashdot Zoo friend-foe network (2009)
A network of interactions among users on Slashdot (slashdot.org), a technology news website. Users name each other as friends or foe. The friend label increases the scores of post, and the foe label decreases the score.
This network has 79120 nodes and 515397 edges.
Tags: Social, Online, Signed

copenhagen: Copenhagen Networks Study
A network of social interactions among university students within the Copenhagen Networks Study, over a period of four weeks, sampled every 5 minutes. Interactions include physical proximity (undirected), phone calls (directed, weighted), text messages (directed), and information about Facebook friendships (undirected). Nodes include some metadata, including gender.
This network has 536 nodes and 3600 edges.
Tags: Social, Offline, Unwei…

sp_baboons: Baboons' interactions (2020)
Network of interactions between a group of 20 Guinea baboons living in an enclosure of a Primate Center in France, between June 13th 2019 and July 10th 2019. The data set contains observational and wearable sensors data.
This network has 13 nodes and 63095 edges.
Tags: Social, Animal, Offline, Unweighted, Weighted, Temporal, Metadata