Tootfinder

France-based Scintil Photonics, which is developing integrated photonic system-on-chips for AI infrastructure, raised a $58M Series B led by Yotta and NGP (Tamara Djurickovic/Tech.eu)
https://tech.eu/2025/09/09/scintil-photonics-secure…

Scintil Photonics secured $58M to scale integrated photonics for AI factories
Grenoble-based Scintil Photonics, a company developing integrated Photonic System-on-Chip (PSoC) solutions for AI infrastructure, has closed a $58 million Series B round. The funding will drive global hiring, accelerate production, and expand its international footprint as it launches the industry’s first single-chip DWDM light engine. Built on its proprietary SHIP™ (Scintil Heterogeneous Integration Photonics) process, Scintil’s technology integrates lasers, photodiodes, and modula…

An integrated photonics platform for high-speed, ultrahigh-extinction, many-channel quantum control
Mengdi Zhao, Manuj Singh, Anshuman Singh, Henry Thoreen, Robert J. DeAngelo, Daniel Dominguez, Andrew Leenheer, Fr\'ed\'eric Peyskens, Alexander Lukin, Dirk Englund, Matt Eichenfield, Nathan Gemelke, Noel H. Wan
https://arxiv.org/abs…

An integrated photonics platform for high-speed, ultrahigh-extinction, many-channel quantum control
High-fidelity control of the thousands to millions of programmable qubits needed for utility-scale quantum computers presents a formidable challenge for control systems. In leading atomic systems, control is optical: UV-NIR beams must be fanned out over numerous spatial channels and modulated to implement gates. While photonic integrated circuits (PICs) offer a potentially scalable solution, they also need to simultaneously feature high-speed and high-extinction modulation, strong inter-channel…

Electrothermally Modulated Nanophotonic Waveguide-integrated Ring Resonator
Sujal Gupta, Jolly Xavier
https://arxiv.org/abs/2507.08332 https://

Electrothermally Modulated Nanophotonic Waveguide-integrated Ring Resonator
Reconfigurable integrated chips of photonic components and networks are envisaged to play a key role in realizing highly efficient integrated photonic information processing. Electrothermally modulated optical effect (ETMOE) is a powerful thermo-optic tuning mechanism for silicon photonic devices, enabling precise optical control via localized Joule heating. We present a rigorous and three-dimensional electronic-photonic co-integrated approach with the nonlinear numerical coupling of temperatur…

The new integrated Markdown parser I’ve been implementing in Kitten has been kicking my ass for the past few weeks but I think I finally have it fully working and seamlessly so. Expect a new release this/next week that brings the parsing of Markdown pages (.page.md files) in your apps up to the standard of the recently-improved runtime Markdown parsing in Kitten HTML tagged-template strings (within `<markdown>…</markdown>` blocks).
The coolest thing is I was able to impleme…

#EroticMusings Week 3 (June 15-21), Studio: Is your work in erotica integrated with your day-to-day life and work, or somewhat separate?
It's fully integrated, but I also have it easy. I work from home, so no strangers snooping. And I mostly write (and occasionally draw). When you enter the room, you see my set-up from the front or side, nothing to see there.
Funny story th…

Integrated Communication and Remote Sensing in LEO Satellite Systems: Protocol, Architecture and Prototype
Yichao Xu, Xiaoming Chen, Ming Ying, Zhaoyang Zhang
https://arxiv.org/abs/2508.10317

Integrated Communication and Remote Sensing in LEO Satellite Systems: Protocol, Architecture and Prototype
In this paper, we explore the integration of communication and synthetic aperture radar (SAR)-based remote sensing in low Earth orbit (LEO) satellite systems to provide real-time SAR imaging and information transmission. Considering the high-mobility characteristics of satellite channels and limited processing capabilities of satellite payloads, we propose an integrated communication and remote sensing architecture based on an orthogonal delay-Doppler division multiplexing (ODDM) signal wavefor…

A Symmetry-Integrated Approach to Surface Code Decoding
Hoshitaro Ohnishi, Hideo Mukai
https://arxiv.org/abs/2509.10164 https://arxiv.org/pdf/2509.10164

A Symmetry-Integrated Approach to Surface Code Decoding
Quantum error correction, which utilizes logical qubits that are encoded as redundant multiple physical qubits to find and correct errors in physical qubits, is indispensable for practical quantum computing. Surface code is considered to be a promising encoding method with a high error threshold that is defined by stabilizer generators. However, previous methods have suffered from the problem that the decoder acquires solely the error probability distribution because of the non-uniqueness of co…

Integrated Learning and Optimization to Control Load Demand and Wind Generation for Minimizing Ramping Cost in Real-Time Electricity Market
Imran Pervez, Omar Knio
https://arxiv.org/abs/2508.09774

Integrated Learning and Optimization to Control Load Demand and Wind Generation for Minimizing Ramping Cost in Real-Time Electricity Market
We developed a new integrated learning and optimization (ILO) methodology to predict context-aware unknown parameters in economic dispatch (ED), a crucial problem in power systems solved to generate optimal power dispatching decisions to serve consumer load. The ED formulation in the current study consists of load and renewable generation as unknown parameters in its constraints predicted using contextual information (e.g., prior load, temperature). The ILO framework train a neural network (NN)…

Affine Frequency Division Multiplexing with Subcarrier Power-Level Index Modulation for Integrated Sensing and Communications
Murat Temiz, Christos Masouros
https://arxiv.org/abs/2508.10783

Affine Frequency Division Multiplexing with Subcarrier Power-Level Index Modulation for Integrated Sensing and Communications
This study proposes an index modulation (IM) technique for affine frequency division multiplexing (AFDM) signals and examines its communication and sensing performance toward integrated sensing and communication (ISAC) systems. The power levels of subcarriers are utilized as modulation indices while also transmitting data symbols within each subcarrier. Thus, the proposed AFDM with subcarrier power-level index modulation (AFDM-PLIM) maintains all subcarriers active at all times to achieve a hig…

topology: Internet AS graph (2004)
An integrated snapshot of the structure of the Internet at the level of Autonomous Systems (ASs), reconstructed from multiple sources, including the RouteViews and RIPE BGP trace collectors, route servers, looking glasses, and the Internet Routing Registry databases. This snapshot was created around October 2004.
This network has 34761 nodes and 171403 edges.
Tags: Technological, Communication, Unweighted, Multigraph, Timestamps

Persistence probabilities for fractionally integrated fractional Brownian noise
G. Molchan
https://arxiv.org/abs/2509.10265 https://arxiv.org/pdf/2509.1026…

Persistence probabilities for fractionally integrated fractional Brownian noise
The main object the study is fractionally integrated fractional Brownian noise, I(t/a,H) where a>0 is the multiplicity(not necessarily an integer) of integration, and H is the Hurst parameter . The subject of the analysis is the persistence exponent e(a,H) that determines the power-law asymptotic of probability that the process will not exceed a fixit positive level in a growing time interval (0,T). In the important cases (a=1,H) and (a=2,H=1/2) these exponents are well known. To understand the…

Two units joined the 9th Drone Brigade: https://benborges.xyz/2025/07/15/two-units-joined-the-th.html

Stabilizing and Optimizing Inter-Shell Routing in LEO Networks with Integrated Routing Cost
Yaojia Wang, Qi Zhang, Kun Qiu, Yue Gao
https://arxiv.org/abs/2507.08549

Stabilizing and Optimizing Inter-Shell Routing in LEO Networks with Integrated Routing Cost
The low Earth orbit (LEO) mega-constellation network (LMCN), which uses thousands of satellites across multi-shell architectures to deliver different services, is facing challenges in inter-shell routing stability due to dynamic network topologies and frequent inter-satellite link (ISL) switching. Existing strategies, such as the Minimum Hop Path set, prioritize minimizing hop counts to reduce latency, but ignore ISL switching costs, which leads to high instability. To overcome this, the Adapti…

Unsupervised Integrated-Circuit Defect Segmentation via Image-Intrinsic Normality
Botong Zhao, Qijun Shi, Shujing Lyu, Yue Lu
https://arxiv.org/abs/2509.09375 https://

Unsupervised Integrated-Circuit Defect Segmentation via Image-Intrinsic Normality
Modern Integrated-Circuit(IC) manufacturing introduces diverse, fine-grained defects that depress yield and reliability. Most industrial defect segmentation compares a test image against an external normal set, a strategy that is brittle for IC imagery where layouts vary across products and accurate alignment is difficult. We observe that defects are predominantly local, while each image still contains rich, repeatable normal patterns. We therefore propose an unsupervised IC defect segmentation…

Machine Learning Integrated Near-Infrared Surface-Enhanced Raman Spectroscopy for Accurate Strain-Level Virus Identification
Na Zhang, Ziyang Wang, Xielin Wang, Gabriel A. V\'azquez-Lizardi, Paula Pi\~neiro Varela, Dorleta Jimenez de Aberasturi, David E. Sanchez, Nestor Perea-Lopez, Samuel Lin, Ryeanne Ricker, Edgar Dimitrov, Alexander J. Sredenschek, Kalana D. Halanayake, Yin-Ting Yeh, Julian A. Mintz, Jiarong Ye, Sharon Xiaolei Huang, Huaguang Lu, Elodie Ghedin, Danielle Reifsnyd…

Machine Learning Integrated Near-Infrared Surface-Enhanced Raman Spectroscopy for Accurate Strain-Level Virus Identification
Strain-level identification of viruses is critical for effective public health responses to potential outbreaks, yet current diagnostic methods often lack the necessary speed or sensitivity. Surface-enhanced Raman spectroscopy (SERS) offers great potential for fast and precise virus clarification through unique vibrational fingerprints of biological components. However, existing protocols typically operate outside of the tissue's transparent near-infrared (NIR) window, and are further limited b…

The PacifAIst Benchmark:Would an Artificial Intelligence Choose to Sacrifice Itself for Human Safety?
Manuel Herrador
https://arxiv.org/abs/2508.09762 https://

The PacifAIst Benchmark:Would an Artificial Intelligence Choose to Sacrifice Itself for Human Safety?
As Large Language Models (LLMs) become increasingly autonomous and integrated into critical societal functions, the focus of AI safety must evolve from mitigating harmful content to evaluating underlying behavioral alignment. Current safety benchmarks do not systematically probe a model's decision-making in scenarios where its own instrumental goals - such as self-preservation, resource acquisition, or goal completion - conflict with human safety. This represents a critical gap in our ability t…

A Comprehensive Evaluation framework of Alignment Techniques for LLMs
Muneeza Azmat, Momin Abbas, Maysa Malfiza Garcia de Macedo, Marcelo Carpinette Grave, Luan Soares de Souza, Tiago Machado, Rogerio A de Paula, Raya Horesh, Yixin Chen, Heloisa Caroline de Souza Pereira Candello, Rebecka Nordenlow, Aminat Adebiyi
https://arxiv.org/abs/250…

A Comprehensive Evaluation framework of Alignment Techniques for LLMs
As Large Language Models (LLMs) become increasingly integrated into real-world applications, ensuring their outputs align with human values and safety standards has become critical. The field has developed diverse alignment approaches including traditional fine-tuning methods (RLHF, instruction tuning), post-hoc correction systems, and inference-time interventions, each with distinct advantages and limitations. However, the lack of unified evaluation frameworks makes it difficult to systematica…

Interpretable Robot Control via Structured Behavior Trees and Large Language Models
Ingrid Ma\'eva Chekam, Ines Pastor-Martinez, Ali Tourani, Jose Andres Millan-Romera, Laura Ribeiro, Pedro Miguel Bastos Soares, Holger Voos, Jose Luis Sanchez-Lopez
https://arxiv.org/abs/2508.09621

Interpretable Robot Control via Structured Behavior Trees and Large Language Models
As intelligent robots become more integrated into human environments, there is a growing need for intuitive and reliable Human-Robot Interaction (HRI) interfaces that are adaptable and more natural to interact with. Traditional robot control methods often require users to adapt to interfaces or memorize predefined commands, limiting usability in dynamic, unstructured environments. This paper presents a novel framework that bridges natural language understanding and robotic execution by combinin…

Fast-Response Variable-Frequency Series-Capacitor Buck VRM Through Integrated Control Approaches
Guanyu Qian, Haoxian Yan, Xiaofan Cui
https://arxiv.org/abs/2507.10086

Fast-Response Variable-Frequency Series-Capacitor Buck VRM Through Integrated Control Approaches
Fast-response voltage regulation is essential for data-center Voltage Regulation Modules (VRMs) powering Artificial Intelligence (AI) workloads, which exhibit both small-amplitude fluctuations and abrupt full-load steps. This paper introduces a control scheme that integrates a linear controller and a nonlinear controller for variable-frequency Series-Capacitor Buck (SCB) converters. First, an accurate small-signal model is derived via a Switching-Synchronized Sampled State-Space (5S) framework,…

Next Edit Prediction: Learning to Predict Code Edits from Context and Interaction History
Ruofan Lu, Yintong Huo, Meng Zhang, Yichen Li, Michael R. Lyu
https://arxiv.org/abs/2508.10074

Next Edit Prediction: Learning to Predict Code Edits from Context and Interaction History
The rapid advancement of large language models (LLMs) has led to the widespread adoption of AI-powered coding assistants integrated into a development environment. On one hand, low-latency code completion offers completion suggestions but is fundamentally constrained to the cursor's current position. On the other hand, chat-based editing can perform complex modifications, yet forces developers to stop their work, describe the intent in natural language, which causes a context-switch away from t…

Towards Integrated Alignment
Ben Y. Reis, William La Cava
https://arxiv.org/abs/2508.06592 https://arxiv.org/pdf/2508.06592

Towards Integrated Alignment
As AI adoption expands across human society, the problem of aligning AI models to match human preferences remains a grand challenge. Currently, the AI alignment field is deeply divided between behavioral and representational approaches, resulting in narrowly aligned models that are more vulnerable to increasingly deceptive misalignment threats. In the face of this fragmentation, we propose an integrated vision for the future of the field. Drawing on related lessons from immunology and cybersecu…

VIVA: Virtual Healthcare Interactions Using Visual Analytics, With Controllability Through Configuration
J\"urgen Bernard, Mara Solen, Helen Novak Lauscher, Kurtis Stewart, Kendall Ho, Tamara Munzner
https://arxiv.org/abs/2508.09386

VIVA: Virtual Healthcare Interactions Using Visual Analytics, With Controllability Through Configuration
At the beginning of the COVID-19 pandemic, HealthLink BC (HLBC) rapidly integrated physicians into the triage process of their virtual healthcare service to improve patient outcomes and satisfaction with this service and preserve health care system capacity. We present the design and implementation of a visual analytics tool, VIVA (Virtual healthcare Interactions using Visual Analytics), to support HLBC in analysing various forms of usage data from the service. We abstract HLBC's data and data …

"designed with non-integrated computer systems to avoid the Cylons' demonstrated ability to override or subvert networked command and control systems"
I'm starting to feel this way about the internet and AI.
Galactica had the right idea.
#BSG #BattlestarGalactica

A Dual Quaternion Control Law for Formation Control of Multiple 3-D Rigid Bodies
Chunfeng Cui, Liqun Qi, Hao Chen, Xiangke Wang
https://arxiv.org/abs/2508.10519 https://

A Dual Quaternion Control Law for Formation Control of Multiple 3-D Rigid Bodies
This paper studies the integrated position and attitude control problem for multi-agent systems of 3D rigid bodies. While the state-of-the-art method in [Olfati-Saber and Murray, 2004] established the theoretical foundation for rigid-body formation control, it requires all agents to asymptotically converge to identical positions and attitudes, limiting its applicability in scenarios where distinct desired relative configurations must be maintained. In this paper, we develop a novel dual-quatern…

Ambiguity Function Analysis of AFDM Signals for Integrated Sensing and Communications
Haoran Yin, Yanqun Tang, Yuanhan Ni, Zulin Wang, Gaojie Chen, Jun Xiong, Kai Yang, Marios Kountouris, Yong Liang Guan, Yong Zeng
https://arxiv.org/abs/2507.08293

Ambiguity Function Analysis of AFDM Signals for Integrated Sensing and Communications
Affine frequency division multiplexing (AFDM) is a promising chirp-based waveform with high flexibility and resilience, making it well-suited for next-generation wireless networks, particularly in high-mobility scenarios. In this paper, we investigate the ambiguity functions (AFs) of AFDM signals, which fundamentally characterize their range and velocity estimation capabilities in both monostatic and bistatic settings. Specifically, we first derive the auto-ambiguity function (AAF) of an AFDM c…

Predictive Causal Inference via Spatio-Temporal Modeling and Penalized Empirical Likelihood
Byunghee Lee, Hye Yeon Sin, Joonsung Kang
https://arxiv.org/abs/2507.08896

Predictive Causal Inference via Spatio-Temporal Modeling and Penalized Empirical Likelihood
This study introduces an integrated framework for predictive causal inference designed to overcome limitations inherent in conventional single model approaches. Specifically, we combine a Hidden Markov Model (HMM) for spatial health state estimation with a Multi Task and Multi Graph Convolutional Network (MTGCN) for capturing temporal outcome trajectories. The framework asymmetrically treats temporal and spatial information regarding them as endogenous variables in the outcome regression, and e…

Nonlinear periodic orbit solutions and their bifurcation structure at the origin of soliton hopping in coupled microresonators
Savyaraj Deshmukh, Aleksandr Tusnin, Alexey Tikan, Tobias J. Kippenberg, Tobias M. Schneider
https://arxiv.org/abs/2508.09921

Nonlinear periodic orbit solutions and their bifurcation structure at the origin of soliton hopping in coupled microresonators
Microresonator frequency combs, essential for future integrated optical systems, rely on dissipative Kerr solitons generated in a single microresonator to achieve coherent frequency comb generation. Recent advances in the nanofabrication of low-loss integrated nonlinear microresonators have paved the way for the exploration of coupled-resonator systems. These systems provide significant technological advantages, including higher conversion efficiency and the generation of dual dispersive waves.…

System Security Framework for 5G Advanced /6G IoT Integrated Terrestrial Network-Non-Terrestrial Network (TN-NTN) with AI-Enabled Cloud Security
Sasa Maric, Rasil Baidar, Robert Abbas, Sam Reisenfeld
https://arxiv.org/abs/2508.05707

System Security Framework for 5G Advanced /6G IoT Integrated Terrestrial Network-Non-Terrestrial Network (TN-NTN) with AI-Enabled Cloud Security
The integration of Terrestrial Networks (TN) and Non-Terrestrial Networks (NTN), including 5G Advanced/6G and the Internet of Things (IoT) technologies, using Low Earth Orbit (LEO) satellites, high-altitude platforms (HAPS), and Unmanned Aerial Vehicles (UAVs), is redefining the landscape of global connectivity. This paper introduces a new system-level security framework for 5G Advanced/6G IoT-integrated TN-NTN architectures with AI-native-enabled cloud security. Due to the heterogeneity, scale…

Enhancing understanding and clinical applications of cerebral autoregulation: A novel integrated numerical framework
Qi Zhang, Meng-di Yang, Xuan-hao Xu, Xiu-li Xu, Shuai Tian, Li-ling Hao
https://arxiv.org/abs/2509.10295

Enhancing understanding and clinical applications of cerebral autoregulation: A novel integrated numerical framework
Cerebral autoregulation (CA) is a fundamental mechanism that modulates cerebrovascular resistance, primarily by regulating the diameter of small cerebral vessels to maintain stable cerebral blood flow (CBF) in response to fluctuations in systemic arterial pressure. However, the clinical understanding of CA remains limited due to the intricate structure of the cerebral vasculature and the challenges in accurately quantifying the hemodynamic and physiological parameters that govern this autoregul…

Emerging Skycube
Micka\"el Martin Nevot (LIS, AMU, IACD)
https://arxiv.org/abs/2508.10516 https://arxiv.org/pdf/2508.10516

Emerging Skycube
Combining multi-criteria decision analysis and trend reversal discovery make it possible to extract globally optimal, or non-dominated, data in relation to several criteria, and then to observe their evolution according to a decision-making property. Thus, we introduce Emerging Skycube, a concept associating Skycube and emerging datacube. As far as we know, no DBMS-integrated solution exists to compute an emerging Skycube, and hence taking advantage of ROLAP analysis tools. An emerging datacube…

Excess Observables Reveal Nonreciprocity in Integrated Covariance
Timur Aslyamov, Massimiliano Esposito
https://arxiv.org/abs/2507.07876 https://

Excess Observables Reveal Nonreciprocity in Integrated Covariance
Near equilibrium, the symmetric part of the time-integrated steady-state covariance, i.e., the time integral of correlation functions, is governed by the fluctuation-dissipation theorem, while the antisymmetric part vanishes due to Onsager reciprocity. Far from equilibrium, where these principles no longer apply, we develop a unified formalism for both symmetric and antisymmetric components of integrated covariances. We derive exact, computationally tractable expressions for these quantities, v…

Replaced article(s) found for math.AP. https://arxiv.org/list/math.AP/new
[1/1]:
- Integrated Local Energy Decay for Damped Magnetic Wave Equations on Stationary Space-Times
Collin Kofroth

Integrated subtraction terms and finite remainders for arbitrary processes with massless partons at colliders in the nested soft-collinear subtraction scheme
Federica Devoto, Kirill Melnikov, Raoul R\"ontsch, Chiara Signorile-Signorile, Davide Maria Tagliabue, Matteo Tresoldi
https://arxiv.org/abs/2509.08594

Integrated subtraction terms and finite remainders for arbitrary processes with massless partons at colliders in the nested soft-collinear subtraction scheme
We present integrated subtraction terms and finite remainders for arbitrary processes with massless partons at hadron and lepton colliders in the context of the nested soft-collinear subtraction scheme. These results provide the very last ingredients needed to make this scheme a fully local, analytic and process-independent framework for treating infrared singularities at next-to-next-to-leading order in perturbative QCD. The explicit infrared finiteness of all required contributions, as well a…

Developing an Inhaled NEU1 Inhibitor for Cystic Fibrosis via Pharmacokinetic and Biophysical Modeling
Yousra Hassan Alsaad Almeshale, Abdulelah Hassan Almeshali, Omar Alsaddique, Noura Jandali, Nadeen Garaween, Bin Hu
https://arxiv.org/abs/2508.10082

Developing an Inhaled NEU1 Inhibitor for Cystic Fibrosis via Pharmacokinetic and Biophysical Modeling
Background: Cystic fibrosis (CF) airway mucus exhibits reduced mucin sialylation, increasing viscosity and impairing mucociliary clearance (MCC). NEU1 inhibition has been proposed to restore MCC, but its quantitative pharmacokinetic and rheological effects, particularly with inhaled delivery, remain uncharacterized. Objective: To develop an integrated pharmacokinetic/pharmacodynamic (PK/PD) and biophysical model to assess the efficacy of an inhaled NEU1 inhibitor. Methods: Empirical and pre…

GPU accelerated MHD in the DISPATCH framework using directive-based programming
Michael Haahr, Troels Haugb{\o}lle, {\AA}ke Nordlund, Sven Karlsson, Eloi Martaill\'e Richard
https://arxiv.org/abs/2508.09568

GPU accelerated MHD in the DISPATCH framework using directive-based programming
We present a GPU-accelerated implementation of a magnetohydrodynamic (MHD) solver using directive-based programming with OpenMP target offloading. The solver is integrated into the DISPATCH framework, which organises the computational domain into a collection of asynchronously updated patches. To reduce GPU kernel launch overhead, patches are grouped into "bunches" that are updated collectively. While porting the particular solver required a complete code refactoring, it yielded performance gai…

Epitaxial graphene integrated with a monolayer magnet
Ivan S. Sokolov, Dmitry V. Averyanov, Oleg E. Parfenov, Alexey N. Mihalyuk, Alexander N. Taldenkov, Oleg A. Kondratev, Ilya A. Eliseyev, Sergey P. Lebedev, Alexander A. Lebedev, Andrey M. Tokmachev, Vyacheslav G. Storchak
https://arxiv.org/abs/2508.08901…

Epitaxial graphene integrated with a monolayer magnet
Imprinting magnetism into graphene makes an important step to its applications in spintronics. An actively explored approach is proximity coupling of graphene to a 2D magnet. In these endeavors, the use of epitaxial graphene may bring significant advantages due to its superiority over the exfoliated counterpart and natural integration with the substrate but the problem of attaining magnetism persists. Here, we report synthesis and analysis of a heterostructure coupling epitaxial graphene with a…

Graph-based Integrated Gradients for Explaining Graph Neural Networks
Lachlan Simpson, Kyle Millar, Adriel Cheng, Cheng-Chew Lim, Hong Gunn Chew
https://arxiv.org/abs/2509.07648

Graph-based Integrated Gradients for Explaining Graph Neural Networks
Integrated Gradients (IG) is a common explainability technique to address the black-box problem of neural networks. Integrated gradients assumes continuous data. Graphs are discrete structures making IG ill-suited to graphs. In this work, we introduce graph-based integrated gradients (GB-IG); an extension of IG to graphs. We demonstrate on four synthetic datasets that GB-IG accurately identifies crucial structural components of the graph used in classification tasks. We further demonstrate on t…

Search for a Dark Gauge Boson Within Einstein-Cartan Theory at the ILC Using Multivariate Analysis
Hossam Taha, El-sayed A. El-dahshan, S. Elgammal
https://arxiv.org/abs/2507.08678

Search for a Dark Gauge Boson Within Einstein-Cartan Theory at the ILC Using Multivariate Analysis
Multivariate analysis (MVA) is employed to probe the dark matter candidate A$^{\prime}$, a gauge boson of a model rooted within Einstein-Cartan Theory, at the International Linear Collider (ILC). \texttt{WHIZARD} package is used as the event generator to simulate electron-positron interactions at the ILC, at a 500 GeV center-of-mass energy ($\sqrt s$) and a 500 fb$^{-1}$ detector's integrated luminosity ($\mathcal{L}$), to produce the A$^{\prime}$ signal and the expected standard model backgrou…

Tackling One Health Risks: How Large Language Models are leveraged for Risk Negotiation and Consensus-building
Alexandra Fetsch, Iurii Savvateev, Racem Ben Romdhane, Martin Wiedmann, Artemiy Dimov, Maciej Durkalec, Josef Teichmann, Jakob Zinsstag, Konstantinos Koutsoumanis, Andreja Rajkovic, Jason Mann, Mauro Tonolla, Monika Ehling-Schulz, Matthias Filter, Sophia Johler

Tackling One Health Risks: How Large Language Models are leveraged for Risk Negotiation and Consensus-building
Key global challenges of our times are characterized by complex interdependencies and can only be effectively addressed through an integrated, participatory effort. Conventional risk analysis frameworks often reduce complexity to ensure manageability, creating silos that hinder comprehensive solutions. A fundamental shift towards holistic strategies is essential to enable effective negotiations between different sectors and to balance the competing interests of stakeholders. However, achieving …

Unreal is all you need: Multimodal ISAC Data Simulation with Only One Engine
Kongwu Huang, Shiyi Mu, Jun Jiang, Yuan Gao, Shugong Xu
https://arxiv.org/abs/2507.08716

Unreal is all you need: Multimodal ISAC Data Simulation with Only One Engine
Scaling laws have achieved success in LLM and foundation models. To explore their potential in ISAC research, we propose Great-X. This single-engine multimodal data twin platform reconstructs the ray-tracing computation of Sionna within Unreal Engine and is deeply integrated with autonomous driving tools. This enables efficient and synchronized simulation of multimodal data, including CSI, RGB, Radar, and LiDAR. Based on this platform, we construct an open-source, large-scale, low-altitude UAV …

Wafer-Scale Squeezed-Light Chips
Shuai Liu, Kailu Zhou, Yuheng Zhang, Abdulkarim Hariri, Nicholas Reynolds, Bo-Han Wu, Zheshen Zhang
https://arxiv.org/abs/2509.10445 https://

Wafer-Scale Squeezed-Light Chips
Squeezed-light generation in photonic integrated circuits (PICs) is essential for scalable continuous-variable (CV) quantum information processing. By suppressing quantum fluctuations below the shot-noise limit, squeezed states enable quantum-enhanced sensing and serve as a standard resource for CV quantum information processing. While chip-level squeezed-light sources have been demonstrated, extending this capability to the wafer level with reproducible strong squeezing to bolster large-scale …

The EDGE-CALIFA Survey: An integral field unit-based integrated molecular gas database for galaxy evolution studies in the Local Universe
D. Colombo, V. Kalinova, Z. Bazzi, S. F. Sanchez, A. D. Bolatto, T. Wong, V. Villanueva, N. Mudivarthi, E. Rosolowsky, A. Wei{\ss}, K. D. French, A. Leroy, J. Barrera-Ballesteros, Y. Garay-Solis, F. Bigiel, A. Tripathi, B. Rodriguez

The EDGE-CALIFA Survey: An integral field unit-based integrated molecular gas database for galaxy evolution studies in the Local Universe
Studying galaxy evolution requires knowledge not only of the stellar properties, but also of the interstellar medium (in particular the molecular phase) out of which stars form, using a statistically significant and unbiased sample of galaxies. To this end, we introduce here the integrated Extragalactic Database for Galaxy Evolution (iEDGE), a collection of integrated stellar and nebular emission lines, and molecular gas properties from 643 galaxies in the local Universe. These galaxies are dra…

Interleaved Transceiver Design for a Continuous- Transmission MIMO-OFDM ISAC System
Yating Chen, Cai Wen, Yan Huang, Jinye Peng, Wei Hong, Timothy N. Davidson
https://arxiv.org/abs/2508.10430

Interleaved Transceiver Design for a Continuous- Transmission MIMO-OFDM ISAC System
This paper proposes an interleaved transceiver design method for a multiple-input multiple-output (MIMO) integrated sensing and communication (ISAC) system utilizing orthogonal frequency division multiplexing (OFDM) waveforms. We consider a continuous transmission system and focus on the design of the transmission signal and a receiving filter in the time domain for an interleaved transmission architecture. For communication performance, constructive interference (CI) is integrated into the opt…

#VES: The Visual Echolocation System with an integrated 3D camera https://www.techrxiv.org/doi/full/10.36227/techrxiv.175756652.28904908/v1 sensory substitution,

Artificial Intelligence, Domain AI Readiness, and Firm Productivity
Sipeng Zeng, Xiaoning Wang, Tianshu Sun
https://arxiv.org/abs/2508.09634 https://arxiv.…

Artificial Intelligence, Domain AI Readiness, and Firm Productivity
Although Artificial Intelligence (AI) holds great promise for enhancing innovation and productivity, many firms struggle to realize its benefits. We investigate why some firms and industries succeed with AI while others do not, focusing on the degree to which an industrial domain is technologically integrated with AI, which we term "domain AI readiness". Using panel data on Chinese listed firms from 2016 to 2022, we examine how the interaction between firm-level AI capabilities and domain AI re…

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 1496 nodes and 1816 edges.
Tags: Biological, Protein interactions, Unweighted

Multi-Scale Network Dynamics and Systemic Risk: A Model Context Protocol Approach to Financial Markets
Avishek Bhandari
https://arxiv.org/abs/2507.08065 https://

Multi-Scale Network Dynamics and Systemic Risk: A Model Context Protocol Approach to Financial Markets
This paper introduces a novel framework for analyzing systemic risk in financial markets through multi-scale network dynamics using Model Context Protocol (MCP) for agent communication. We develop an integrated approach that combines transfer entropy networks, agent-based modeling, and wavelet decomposition to capture information flows across temporal scales implemented in the MCPFM (Model Context Protocol Financial Markets) R package. Our methodology enables heterogeneous financial agents incl…

Reconstruction of 2D line-integrated electron density using angular filter refractometry and a fast marching Eikonal solver
Brendan McCluskey, Jesse Griff-McMahon, Daniel Haberberger, Vicente Valenzuela-Villaseca, Huws Landsberger, William Fox
https://arxiv.org/abs/2508.05837

Reconstruction of 2D line-integrated electron density using angular filter refractometry and a fast marching Eikonal solver
Refraction of an optical probe beam by a plasma can be measured with angular filter refractometry (AFR), which produces an image containing intensity contours that correspond to curves of constant refraction angle. Further analysis is required to reconstruct the underlying line-integrated electron density. Most prior efforts to calculate density from AFR data have been limited to 1D analysis or forward-fitting techniques. In this paper, we detail the use of a fast marching Eikonal solver to dir…

QoS-Aware Integrated Sensing, Communication, and Control with Movable Antenna
Yike Wang, Zhike Wu, Jiang Chen, Chunjie Wang, Xuhui Zhang, Yanyan Shen
https://arxiv.org/abs/2508.07799

QoS-Aware Integrated Sensing, Communication, and Control with Movable Antenna
Integrated sensing, communication, and control (ISCC) has emerged as a key enabler for low-altitude wireless networks with enhanced adaptability through resource allocation co-design and intelligent environment awareness. However, dynamic interference and channel attenuation constrain the potential of the ISCC system. To address this challenge, we propose a novel movable antenna-empowered ISCC system. An achievable data rate maximization problem is formulated while guaranteeing the sensing and …

miRKatAI: An Integrated Database and Multi-agent AI system for microRNA Research
Karen Guerrero-Vazquez, Jacopo Umberto Verga, Pilib O Broin, Katarzyna Goljanek-Whysall
https://arxiv.org/abs/2508.08331

miRKatAI: An Integrated Database and Multi-agent AI system for microRNA Research
MicroRNAs (miRs) are robust regulators of gene expression, implicated in most biological processes. microRNAs predominantly downregulate the expression of genes post-transcriptionally and each miR is predicted to target several hundred genes. The accurate identification and annotation of miR-mRNA target interactions is central to understanding miRs function and their therapeutic potential. However, computational target prediction is challenging due to imperfect complementarity of miRs with thei…

Onboard Dual Quaternion Guidance for Rocket Landing
Abhinav G. Kamath, Javier A. Doll, Purnanand Elango, Taewan Kim, Skye Mceowen, Yue Yu, Taylor P. Reynolds, Gavin F. Mendeck, John M. Carson III, Mehran Mesbahi, Beh\c{c}et A\c{c}{\i}kme\c{s}e
https://arxiv.org/abs/2508.10439

Onboard Dual Quaternion Guidance for Rocket Landing
The dual quaternion guidance (DQG) algorithm was selected as the candidate 6-DoF powered-descent guidance algorithm for NASA's Safe and Precise Landing -- Integrated Capabilities Evolution (SPLICE) project. DQG is capable of handling state-triggered constraints that are of utmost importance in terms of enabling technologies such as terrain relative navigation. In this work, we develop a custom solver for DQG to enable onboard implementation for future rocket landing missions. We describe the de…

Detecting Local and Integrated Relativistic Effects by Multi-Tracing a Single Galaxy Population in Harmonic Space
Marco Novara, Federico Montano, Stefano Camera
https://arxiv.org/abs/2509.08056

Detecting Local and Integrated Relativistic Effects by Multi-Tracing a Single Galaxy Population in Harmonic Space
Measuring relativistic effects on cosmological scales would provide further confirmation of the validity of general relativity in the still poorly tested condition of weak gravity. Despite their relevance, relativistic imprints in the distribution of galaxies on large scales have so far eluded detection, mainly because they are stronger on the largest cosmic scales, which are plagued by cosmic variance. Expanding on previous works, we study galaxy clustering by subdividing a galaxy population i…

Heterogeneously integrated lithium tantalate-on-silicon nitride modulators for high-speed communications
Jiachen Cai, Alexander Kotz, Hugo Larocque, Chengli Wang, Xinru Ji, Junyin Zhang, Daniel Drayss, Xin Ou, Christian Koos, Tobias J. Kippenberg
https://arxiv.org/abs/2508.06265

Heterogeneously integrated lithium tantalate-on-silicon nitride modulators for high-speed communications
Driven by the prospects of higher bandwidths for optical interconnects, integrated modulators involving materials beyond those available in silicon manufacturing increasingly rely on the Pockels effect. For instance, wafer-scale bonding of lithium niobate films onto ultralow loss silicon nitride photonic integrated circuits provides heterogeneous integrated devices with low modulation voltages operating at higher speeds than silicon photonics. However, in spite of its excellent electro-optic mo…

Robust Integrated Priority and Speed Control based on Hierarchical Stochastic Optimization to Promote Bus Schedule Adherence along Signalized Arterial
Shurui Guan, Keqiang Li, Haoyu Yang, Yihe Chen, Hanxiao Ren, Yugong Luo
https://arxiv.org/abs/2508.07749

Robust Integrated Priority and Speed Control based on Hierarchical Stochastic Optimization to Promote Bus Schedule Adherence along Signalized Arterial
In intelligent transportation systems (ITS), adaptive transit signal priority (TSP) and dynamic bus control systems have been independently developed to maintain efficient and reliable urban bus services. However, those two systems could potentially lead to conflicting decisions due to the lack of coordination. Although some studies explore the integrated control strategies along the arterial, they merely rely on signal replanning to address system uncertainties. Therefore, their performance se…

Enhanced SegNet with Integrated Grad-CAM for Interpretable Retinal Layer Segmentation in OCT Images
S M Asiful Islam Saky, Ugyen Tshering
https://arxiv.org/abs/2509.07795 https:…

Enhanced SegNet with Integrated Grad-CAM for Interpretable Retinal Layer Segmentation in OCT Images
Optical Coherence Tomography (OCT) is essential for diagnosing conditions such as glaucoma, diabetic retinopathy, and age-related macular degeneration. Accurate retinal layer segmentation enables quantitative biomarkers critical for clinical decision-making, but manual segmentation is time-consuming and variable, while conventional deep learning models often lack interpretability. This work proposes an improved SegNet-based deep learning framework for automated and interpretable retinal layer s…

Distortion Minimization in Reverse Engineering for Additive Manufacturing: An Integrated 3D Scanning and Simulation Framework
Jannatul Bushra (The University of Arizona), Md Habibor Rahman (University of Massachusetts Dartmouth), Mohammed Shafae (The University of Arizona), Hannah D. Budinoff (The University of Arizona)
https://arxiv.org/a…

Distortion Minimization in Reverse Engineering for Additive Manufacturing: An Integrated 3D Scanning and Simulation Framework
Reverse engineering can be used to derive a 3D model of an existing physical part when such a model is not readily available. For parts that will be fabricated with subtractive and formative manufacturing processes, existing reverse engineering techniques can be readily applied, but parts produced with additive manufacturing can present new challenges due to the high level of process-induced distortions and unique part attributes. This paper introduces an integrated 3D scanning and process simu…

ARMA Block: A CNN-Based Autoregressive and Moving Average Module for Long-Term Time Series Forecasting
Myung Jin Kim, YeongHyeon Park, Il Dong Yun
https://arxiv.org/abs/2509.10324

ARMA Block: A CNN-Based Autoregressive and Moving Average Module for Long-Term Time Series Forecasting
This paper proposes a simple yet effective convolutional module for long-term time series forecasting. The proposed block, inspired by the Auto-Regressive Integrated Moving Average (ARIMA) model, consists of two convolutional components: one for capturing the trend (autoregression) and the other for refining local variations (moving average). Unlike conventional ARIMA, which requires iterative multi-step forecasting, the block directly performs multi-step forecasting, making it easily extendabl…

Rethinking Reliability Using Network Coding: a Practical 5G Evaluation
Laura Landon, Vipindev Adat Vasudevan, Junmo Sung, Muriel M\'edard
https://arxiv.org/abs/2508.10247 ht…

Rethinking Reliability Using Network Coding: a Practical 5G Evaluation
This work presents the design and implementation of a real-time network coding system integrated into the IP layer of a 5G testbed, offering an alternative to conventional retransmission-based reliability mechanisms such as ARQ and HARQ. Using a netfilter-based packet interception framework, we inject forward erasure correction using Random Linear Network Coding (RLNC) into live traffic between a gNB and UE over a 3GPP RF link. We evaluate a block coding scheme, analyzing its impact on throughp…

Generalized Kennedy Receivers Enhanced CV-QKD in Turbulent Channels for Endogenous Security of Space-Air-Ground Integrated Network
Shouye Miao, Renzhi Yuan, Bin Cao, Mufei Zhao, Zhifeng Wang, Mugen Peng
https://arxiv.org/abs/2508.08732

Generalized Kennedy Receivers Enhanced CV-QKD in Turbulent Channels for Endogenous Security of Space-Air-Ground Integrated Network
Endogenous security in next-generation wireless communication systems attracts increasing attentions in recent years. A typical solution to endogenous security problems is the quantum key distribution (QKD), where unconditional security can be achieved thanks to the inherent properties of quantum mechanics. Continuous variable-quantum key distribution (CV-QKD) enjoys high secret key rate (SKR) and good compatibility with existing optical communication infrastructure. Traditional CV-QKD usually …

An Integrated Framework of Prompt Engineering and Multidimensional Knowledge Graphs for Legal Dispute Analysis
Mingda Zhang, Na Zhao, Jianglong Qing, Qing xu, Kaiwen Pan, Ting luo
https://arxiv.org/abs/2507.07893

An Integrated Framework of Prompt Engineering and Multidimensional Knowledge Graphs for Legal Dispute Analysis
The rapid development of artificial intelligence has positioned large language models as fundamental components of intelligent legal systems. However, these models face significant limitations in legal dispute analysis, including insufficient legal knowledge representation, limited concept understanding, and reasoning deficiencies. This research proposes an enhanced framework integrating prompt engineering with multidimensional knowledge graphs. The framework introduces a three-stage hierarchic…

Extended AB Algorithms for Bistatic Integrated Sensing and Communications Systems
Tian Jiao, Yanlin Geng, Zhiqiang Wei, Zai Yang
https://arxiv.org/abs/2508.07567 https://…

Extended AB Algorithms for Bistatic Integrated Sensing and Communications Systems
Integrated sensing and communication (ISAC) is pivotal for next-generation wireless networks, rendering the computation of rate-distortion trade-off in ISAC systems critically important. In this paper, we propose the extended Arimoto-Blahut (AB) algorithms to calculate the rate-distortion trade-off in bistatic ISAC systems, which overcome the limitation of existing AB algorithms in handling non-convex constraints. Specifically, we introduce auxiliary variables to transform non-convex distortion…

Designing with Deception: ML- and Covert Gate-Enhanced Camouflaging to Thwart IC Reverse Engineering
Junling Fan, David Koblah, Domenic Forte
https://arxiv.org/abs/2508.08462 ht…

Designing with Deception: ML- and Covert Gate-Enhanced Camouflaging to Thwart IC Reverse Engineering
Integrated circuits (ICs) are essential to modern electronic systems, yet they face significant risks from physical reverse engineering (RE) attacks that compromise intellectual property (IP) and overall system security. While IC camouflage techniques have emerged to mitigate these risks, existing approaches largely focus on localized gate modifications, neglecting comprehensive deception strategies. To address this gap, we present a machine learning (ML)-driven methodology that integrates cryp…

Data-driven joint optimization of maintenance and spare parts provisioning: A distributionally robust approach
Heraldo Rozas, Weijun Xie, Nagi Gebraeel, Stephen Robinson
https://arxiv.org/abs/2507.08174

Data-driven joint optimization of maintenance and spare parts provisioning: A distributionally robust approach
This paper investigates the joint optimization of condition-based maintenance and spare provisioning, incorporating insights obtained from sensor data. Prognostic models estimate components' remaining lifetime distributions (RLDs), which are integrated into an optimization model to coordinate maintenance and spare provisioning. The existing literature addressing this problem assumes that prognostic models provide accurate estimates of RLDs, thereby allowing a direct adoption of Stochastic Progr…

High-$Q$ superconducting resonators fabricated in an industry-scale semiconductor-fabrication facility
Nicolas Arlt, Karina Houska, Jochen Braum\"uller, Michael Kirsch, Gerhard Metzger-Br\"uckl, Wolfgang Raberg, Thomas Stangl, Stefan Filipp, Jash Banker, Florian Brandl
https://arxiv.org/abs/2508.09577

High-$Q$ superconducting resonators fabricated in an industry-scale semiconductor-fabrication facility
Universal quantum computers promise to solve computational problems that are beyond the capabilities of known classical algorithms. To realize such quantum hardware on a superconducting material platform, a vast number of physical qubits has to be manufactured and integrated at high quality and uniformity on a chip. Anticipating the benefits of semiconductor industry processes in terms of process control, uniformity and repeatability, we set out to manufacture superconducting quantum circuits i…

Surrogate-Enhanced Modeling and Adaptive Modular Control of All-Electric Heavy-Duty Robotic Manipulators
Amir Hossein Barjini, Mohammad Bahari, Mahdi Hejrati, Jouni Mattila
https://arxiv.org/abs/2508.06313

Surrogate-Enhanced Modeling and Adaptive Modular Control of All-Electric Heavy-Duty Robotic Manipulators
This paper presents a unified system-level modeling and control framework for an all-electric heavy-duty robotic manipulator (HDRM) driven by electromechanical linear actuators (EMLAs). A surrogate-enhanced actuator model, combining integrated electromechanical dynamics with a neural network trained on a dedicated testbed, is integrated into an extended virtual decomposition control (VDC) architecture augmented by a natural adaptation law. The derived analytical HDRM model supports a hierarchic…

Mid-infrared integrated resonators on a III-V platform with Q-factors beyond half a million
Luca Lucia, Gia Long Ngo, Mathilde Urbain, Konstantinos Pantzas, Gregoire Beaudoin, Stefano Pirotta, Jean-Michel Manceau, Isabelle Sagnes, Raffaele Colombelli, Adel Bousseksou
https://arxiv.org/abs/2508.08168

Mid-infrared integrated resonators on a III-V platform with Q-factors beyond half a million
We demonstrate mid-IR integrated race-track resonators on a III-V semiconductor platform,InGaAs core epitaxially grown on InP. We have performed a complete characterization of the optical propagation losses at wavelength = 4.6 um and wavelength = 8.5 um, two representative wavelengths for the 1st and 2nd atmospheric transparency windows. We measured losses of 1 dB/cm (TE polarization) and 1.3 dB/cm (TM polarization) at 8.5 um. Substantially lower losses, 0.28 dB/cm, were measured at wavelength …

Enabling On-demand Guaranteed QoS for Real Time Video Streaming from Vehicles in 5G Advanced with CAPIF & NEF APIs
Pietro Piscione, Leonardo Lossi, Maziar Nekovee, Chathura Galkandage, Phil O Connor, Simon Davies
https://arxiv.org/abs/2508.09150

Enabling On-demand Guaranteed QoS for Real Time Video Streaming from Vehicles in 5G Advanced with CAPIF & NEF APIs
This paper presents the design and implementation of a Proof of Concept (PoC) that demonstrates how 5G Advanced Network Functions can be integrated with the Common API Framework (CAPIF) to support enhanced connectivity for automotive applications. The PoC shows the continuous monitoring of the mobile network performance and the on-demand and dynamic adaptation of Quality of Service (QoS) for selected 5G User Equipment (UE) video streaming traffic flows using standard 3GPP Network Exposure Funct…

Improving Merge Pipeline Throughput in Continuous Integration via Pull Request Prioritization
Maximilian Jungwirth, Martin Gruber, Gordon Fraser
https://arxiv.org/abs/2508.08342

Improving Merge Pipeline Throughput in Continuous Integration via Pull Request Prioritization
Integrating changes into large monolithic software repositories is a critical step in modern software development that substantially impacts the speed of feature delivery, the stability of the codebase, and the overall productivity of development teams. To ensure the stability of the main branch, many organizations use merge pipelines that test software versions before the changes are permanently integrated. However, the load on merge pipelines is often so high that they become bottlenecks, des…

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 2436 nodes and 136930 edges.
Tags: Biological, Protein interactions, Unweighte…

Research on integrated intelligent energy management system based on big data analysis and machine learning
Jinzhou Xu, Yadan Zhang, Paola Tapia
https://arxiv.org/abs/2508.05583

Research on integrated intelligent energy management system based on big data analysis and machine learning
The application of big data is one of the significant features of integrated smart energy. Applying it to the file management of integrated smart energy projects is of great significance for improving the efficiency of project management and control. This article first discussed the benefits and challenges of implementing big data analysis in document management and control of integrated smart energy projects. In addition, an implementation framework for big data analysis in integrated smart en…

Location Privacy-Enabled Beamforming in ISAC Scenarios
Umair Ali Khan, Lester Ho, Holger Claussen, Chinmoy Kundu
https://arxiv.org/abs/2508.09882 https://a…

Location Privacy-Enabled Beamforming in ISAC Scenarios
Integrated sensing and communication (ISAC) technology enables simultaneous environmental perception and data transmission in wireless networks; however, it also exposes user location to receivers. In this paper, we introduce a novel beamforming framework guided by the proposed privacy metric direction of arrival obfuscation ratio (DAOR) to protect transmitter location privacy in ISAC scenarios. Unlike previous approaches, we do not suppress the line-of-sight (LOS) component while reshaping the…

dciWebMapper2: Enhancing the dciWebMapper framework toward integrated, interactive visualization of linked multi-type maps, charts, and spatial statistics and analysis
Sarigai Sarigai, Liping Yang, Katie Slack, Carolyn Fish, Michaela Buenemann, Qiusheng Wu, Yan Lin, Joseph A. Cook, David Jacobs
https://arxiv.org/abs/2509.07897

dciWebMapper2: Enhancing the dciWebMapper framework toward integrated, interactive visualization of linked multi-type maps, charts, and spatial statistics and analysis
As interactive web-based geovisualization becomes increasingly vital across disciplines, there is a growing need for open-source frameworks that support dynamic, multi-attribute spatial analysis and accessible design. This paper introduces dciWebMapper2, a significant expansion of the original dciWebMapper framework, designed to enable exploratory analysis across domains such as climate justice, food access, and social vulnerability. The enhanced framework integrates multiple map types, includi…

Replaced article(s) found for q-bio.GN. https://arxiv.org/list/q-bio.GN/new
[1/1]:
- miRKatAI: An Integrated Database and Multi-agent AI system for microRNA Research
Guerrero-Vazquez, Verga, Broin, Szegezdi, Goljanek-Whysall

Space-time Coded Differential Modulation for Reconfigurable Intelligent Surfaces
Jiawei Qiu, Harry Leib
https://arxiv.org/abs/2508.10244 https://arxiv.org/…

Space-time Coded Differential Modulation for Reconfigurable Intelligent Surfaces
Reconfigurable Intelligent Surfaces (RIS) hold the promise of improving significantly coverage, as well as spectral and energy efficiency in wireless communication systems. Techniques based on RIS form a key technology for 6G systems. An important issue in RIS technology is Channel State Information (CSI), which is much more difficult to acquire in such systems. This work introduces a Differential Space-Time Modulation (DSTM) scheme integrated with Differential Reflecting Modulation (DRM) to by…

Surpassing the PLOB bound in continuous-variable quantum secret sharing using a state-discrimination detector
Qin Liao, Chong Tang, Qingquan Peng, Chao Ding, Lingjin Zhu, Yijun Wang, Xiquan Fu
https://arxiv.org/abs/2508.09445

Surpassing the PLOB bound in continuous-variable quantum secret sharing using a state-discrimination detector
Continuous-variable quantum secret sharing (CVQSS) is a promising approach to ensuring multi-party information security. While CVQSS offers practical ease of implementation, its present performance remains limited. In this paper, we propose a novel CVQSS protocol integrated with a state-discrimination detector (SDD), dubbed SDD-CVQSS. In particular, we first develop the detailed procedure of SDD-CVQSS, which replaces the traditional coherent detector with an SDD and eliminates the long-standing…

Can Vision-Language Models Solve Visual Math Equations?
Monjoy Narayan Choudhury, Junling Wang, Yifan Hou, Mrinmaya Sachan
https://arxiv.org/abs/2509.09013 https://

Can Vision-Language Models Solve Visual Math Equations?
Despite strong performance in visual understanding and language-based reasoning, Vision-Language Models (VLMs) struggle with tasks requiring integrated perception and symbolic computation. We study this limitation through visual equation solving, where mathematical equations are embedded in images, variables are represented by object icons, and coefficients must be inferred by counting. While VLMs perform well on textual equations, they fail on visually grounded counterparts. To understand this…

Low-latency D-MIMO Localization using Distributed Scalable Message-Passing Algorithm
Dumitra Iancu, Liang Liu, Ove Edfors, Erik Leitinger, Xuhong Li
https://arxiv.org/abs/2508.09546

Low-latency D-MIMO Localization using Distributed Scalable Message-Passing Algorithm
Distributed MIMO and integrated sensing and communication are expected to be key technologies in future wireless systems, enabling reliable, low-latency communication and accurate localization. Dedicated localization solutions must support distributed architecture, provide scalability across different system configurations and meet strict latency requirements. We present a scalable message-passing localization method and architecture co-designed for a panel-based distributed MIMO system and net…

Holographic Beamforming for Integrated Sensing and Communication with Mutual Coupling Effects
Shuhao Zeng, Haobo Zhang, Boya Di, Hongliang Zhang, Zijian Shao, Zhu Han, H. Vincent Poor, Lingyang Song
https://arxiv.org/abs/2509.08113

Holographic Beamforming for Integrated Sensing and Communication with Mutual Coupling Effects
Integrated sensing and communication (ISAC) is envisioned as a key technology in 6G networks, owing to its potential for high spectral and cost efficiency. As a promising solution for extremely large-scale arrays, reconfigurable holographic surfaces (RHS) can be integrated with ISAC to form the holographic ISAC paradigm, where enlarged radiation apertures of RHS can achieve significant beamforming gains, thereby improving both communication and sensing performance. In this paper, we investigate…

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

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

Integrated Bus Fleet Electrification Planning Through Accelerated Logic-Based Benders Decomposition and Restriction Heuristics
Robin Legault, Filipe Cabral, Xu Andy Sun
https://arxiv.org/abs/2508.05863

Integrated Bus Fleet Electrification Planning Through Accelerated Logic-Based Benders Decomposition and Restriction Heuristics
To meet sustainability goals and regulatory requirements, transit agencies worldwide are planning partial and complete transitions to electric bus fleets. This paper presents the first comprehensive and computationally efficient multi-period optimization framework integrating the key planning decisions necessary to support such electrification initiatives. Our model, formulated as a two-stage integer program with integer subproblems, jointly optimizes yearly fleet and charging infrastructure in…

Multi-laser stabilization with an atomic-disciplined photonic integrated resonator
Andrei Isichenko, Andrew S. Hunter, Nitesh Chauhan, John R. Dickson, T. Nathan Nunley, Josiah R. Bingaman, David A. S. Heim, Mark W. Harrington, Kaikai Liu, Paul D. Kunz, Daniel J. Blumenthal
https://arxiv.org/abs/2509.09124

Multi-laser stabilization with an atomic-disciplined photonic integrated resonator
Precision atomic and quantum experiments rely on ultra-stable narrow linewidth lasers constructed using table-top ultra-low expansion reference cavities. These experiments often require multiple lasers, operating at different wavelengths, to perform key steps used in state preparation and measurement required in quantum sensing and computing. This is traditionally achieved by disciplining a cavity-stabilized laser to a key atomic transition and then transferring the transition linewidth and sta…

Replaced article(s) found for eess.SP. https://arxiv.org/list/eess.SP/new
[1/1]:
- Ambiguity Function Analysis of Affine Frequency Division Multiplexing for Integrated Sensing and ...
Ebrahim Bedeer

Stackelberg Coupling of Online Representation Learning and Reinforcement Learning
Fernando Martinez, Tao Li, Yingdong Lu, Juntao Chen
https://arxiv.org/abs/2508.07452 https://…

Stackelberg Coupling of Online Representation Learning and Reinforcement Learning
Integrated, end-to-end learning of representations and policies remains a cornerstone of deep reinforcement learning (RL). However, to address the challenge of learning effective features from a sparse reward signal, recent trends have shifted towards adding complex auxiliary objectives or fully decoupling the two processes, often at the cost of increased design complexity. This work proposes an alternative to both decoupling and naive end-to-end learning, arguing that performance can be signif…

How can a geothermal storage system be optimally integrated into a local district? A case study
Ueli Schilt, Somesh Vijayananda, Sarah Schneeberger, Manuel Meyer, Santhosh Iyyakkunnel, Pascal Marc Vecsei, Philipp Schuetz
https://arxiv.org/abs/2509.08568

How can a geothermal storage system be optimally integrated into a local district? A case study
Achieving net-zero targets requires the phase-out of fossil-based heating. A major challenge is the seasonal mismatch between renewable heat supply and demand. District heating networks often dispose of excess heat in summer and rely on fossil backups in winter. Large-scale thermal energy storage offers a solution by storing surplus summer heat for use during winter, thus reducing the need for fossil fuels. This study investigates the feasibility of a large-scale thermal storage system at a pow…

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 912 nodes and 22738 edges.
Tags: Biological, Protein interactions, Unweighted

Enhancing 6G Network Security and Incident Response through Integrated VNF and SDN Technologies
Abdul Razaque, Abitkhanova Zhadyra Abitkhanovna
https://arxiv.org/abs/2509.08274 …

Enhancing 6G Network Security and Incident Response through Integrated VNF and SDN Technologies
Low-speed internet can negatively affect incident response in a number of ways, including decreased teamwork, delayed detection, inefficient action, and elevated risk. Delayed data acquisition and processing may result from inadequate internet connectivity, hindering security teams' ability to obtain the necessary information for timely and effective responses. Each of these factors may augment the organization's susceptibility to security incidents and their subsequent ramifications. This arti…

Comparative Analysis of Attention Mechanisms for Automatic Modulation Classification in Radio Frequency Signals
Ferhat Ozgur Catak, Murat Kuzlu, Umit Cali
https://arxiv.org/abs/2508.09996

Comparative Analysis of Attention Mechanisms for Automatic Modulation Classification in Radio Frequency Signals
Automatic Modulation Classification (AMC) is a critical component in cognitive radio systems and spectrum management applications. This study presents a comprehensive comparative analysis of three attention mechanisms (i.e., baseline multi-head attention, causal attention, and sparse attention) integrated with Convolutional Neural Networks (CNNs) for radio frequency (RF) signal classification. It proposes a novel CNN-Transformer hybrid architecture that leverages different attention patterns to…

Hybrid integration of two-dimensional dichalcogenides for low power saturable absorption in photonic integrated circuits
Maria Carolina Volpato, Gustavo H. Magro, Antonio A. G. Von Zuben, Luis A. M. Barea, Pierre-Louis de Assis, Newton C. Frateschi
https://arxiv.org/abs/2509.09068

Hybrid integration of two-dimensional dichalcogenides for low power saturable absorption in photonic integrated circuits
Silicon photonics provides a versatile platform for large-scale integration of optical functions, but its weak intrinsic nonlinear response limits the realization of active, intensity-dependent functionalities. Hybrid integration of two-dimensional (2D) materials has emerged as a promising strategy to overcome these limitations by enabling strong light--matter interaction and broadband absorption. Here, we demonstrate saturable absorption in a Complementary Metal-Oxide-Semiconductor (CMOS)-comp…

Joint Optimization of Computation Offloading and Resource Allocation in ISAC-assisted SAGIN-based IoT
Sooyeob Jung, Seongah Jeong, Jinkyu Kang
https://arxiv.org/abs/2509.08238 h…

Joint Optimization of Computation Offloading and Resource Allocation in ISAC-assisted SAGIN-based IoT
In this letters, an energy-efficient integrated sensing and communication (ISAC) for space-air-ground integrated network (SAGIN)-based Internet of Things (IoT) systems is proposed to facilitate wide coverage and real-time 6G services. For processing a sizable data collected at a IoT device, a hybrid edge computing scheme is applied with the cloudlets mounted at autonomous aerial vehicle (AAV) and low earth orbit (LEO) satellite, where the AAV with multiple antennas performs uplink sensing of th…

Replaced article(s) found for cs.LG. https://arxiv.org/list/cs.LG/new
[4/5]:
- ACE: A Security Architecture for LLM-Integrated App Systems
Evan Li, Tushin Mallick, Evan Rose, William Robertson, Alina Oprea, Cristina Nita-Rotaru

Secrecy Offloading Analysis of UAV-assisted NOMA-MEC Incorporating WPT in IoT Networks
Gia-Huy Nguyen, Anh-Nhat Nguyen, Minh-Sang Nguyen, Khai Nguyen, Tung-Son Ngo, Ngoc-Anh Bui, Phuong-Chi Le, Manh-Duc Hoang
https://arxiv.org/abs/2507.08352

Secrecy Offloading Analysis of UAV-assisted NOMA-MEC Incorporating WPT in IoT Networks
This article studies the efficiency of secrecy data offloading for an unmanned aerial vehicle (UAV)-assisted nonorthogonal multiple access (NOMA)-integrated mobile-edge computing (MEC) incorporating wireless power transfer (WPT) within an Internet of Things (IoT) network. Specifically, this study assumes an UAV to function in dual roles: as a mobile computation platform and as an aerial power-supply station, offering substantial advantages for resource-constrained edge devices (EDs) in mitigati…

COMS-Integrated Atomic Vapor Cells with Ultra-long Optical Access for Highly Sensitive and Scalable Quantum Sensors
Yintao Ma, Yao Chen, Mingzhi Yu, Yanbin Wang, Ju Guo, Ping Yang, Qijing Lin, Yang Lv, Libo Zhao
https://arxiv.org/abs/2507.05993

COMS-Integrated Atomic Vapor Cells with Ultra-long Optical Access for Highly Sensitive and Scalable Quantum Sensors
The most appealing features of chip-scale quantum sensors are their capability to maintain extreme sensitivity while enabling large-scale batch manufacturing. This necessitates high-level integration and wafer-level fabrication of atomic vapor cells. In this paper, we describe a micromachining paradigm for wafer-level atomic vapor cells functionalized by CMOS-compatible non-magnetic heaters and temperature sensors and demonstrate several innovative applications. Leveraging standard micro-nanofa…

An Open-Source Simulation and Data Management Tool for EnergyPlus Building Models
Ninad Gaikwad, Kasey Dettlaff, Athul Jose P, Anamika Dubey
https://arxiv.org/abs/2508.09130 htt…

An Open-Source Simulation and Data Management Tool for EnergyPlus Building Models
We present a new open-source, GUI-based application created using Plotly-Dash, along with an integrated PostgreSQL-based relational database, developed to streamline EnergyPlus building model simulation workflows. The application facilitates data generation, aggregation (across thermal zones), and visualization based on customizable user preferences, while the database efficiently stores and retrieves complex simulation data generated by EnergyPlus. We demonstrate the need for this application …

Integrated Communication and Computing in Time-Varying mmWave Channels
Joan \c{C}ollaku, Kuranage Roche Rayan Ranasinghe, Giuseppe Thadeu Freitas de Abreu, Takumi Takahashi
https://arxiv.org/abs/2509.07482

Integrated Communication and Computing in Time-Varying mmWave Channels
We propose a novel framework for integrated communication and computing (ICC) transceiver design in time-varying millimeter-wave (mmWave) channels. In particular, in order to cope with the dynamics of time-varying mmWave channels, the detection of communication symbols and the execution of an over-the-air computing (AirComp) operation are performed in parallel with channel tracking, as opposed to existing state-of-the-art (SotA) on ICC where perfect knowledge of the channel at all time instance…

Circular Holographic MIMO Beamforming for Integrated Data and Energy Multicast Systems
Qingxiao Huang, Yizhe Zhao, Jie Hu, Kun Yang, Yuguang Fang
https://arxiv.org/abs/2507.05057 …

Circular Holographic MIMO Beamforming for Integrated Data and Energy Multicast Systems
Thanks to the application of metamaterials, holographic multiple-input multiple-output (H-MIMO) is expected to achieve a higher spatial diversity gain with lower hardware complexity. With the aid of a circular antenna arrangement of H-MIMO, integrated data and energy multicast (IDEM) can fully exploit the near-field channel to realize wider range of energy focusing and higher achievable rate. In this paper, we derive the closed-form near-field resolution function in 3D space and show the asympt…

Interference Mitigation for OFDM-based Integrated Sensing and Communications with Arbitrary Modulation Formats
Felix Artmann, Daniel Gil Gaviria, Benedikt Geiger, Laurent Schmalen
https://arxiv.org/abs/2509.07754

Interference Mitigation for OFDM-based Integrated Sensing and Communications with Arbitrary Modulation Formats
Integrated sensing and communication will be a key feature of future mobile networks, enabling highly efficient systems and numerous new applications by leveraging communication signals for sensing. In this paper, we analyze the impact of arbitrary modulation alphabets on the sensing performance of communication-centric OFDM systems as expected in the next-generation 6G networks. We evaluate existing interference mitigation techniques, such as coherent successive target cancellation, and propos…

Multi-RIS Deployment Optimization for mmWave ISAC Systems in Real-World Environments
Yueheng Li, Xueyun Long, Mario Pauli, Suheng Tian, Xiang Wan, Benjamin Nuss, Tiejun Cui, Haixia Zhang, Thomas Zwick
https://arxiv.org/abs/2508.07226

Multi-RIS Deployment Optimization for mmWave ISAC Systems in Real-World Environments
Reconfigurable intelligent surface-assisted integrated sensing and communication (RIS-ISAC) presents a promising system architecture to leverage the wide bandwidth available at millimeter-wave (mmWave) frequencies, while mitigating severe signal propagation losses and reducing infrastructure costs. To enhance ISAC functionalities in the future air-ground integrated network applications, RIS deployment must be carefully designed and evaluated, which forms the core motivation of this paper. To en…

Deep Learning-based Techniques for Integrated Sensing and Communication Systems: State-of-the-Art, Challenges, and Opportunities
Murat Temiz, Yongwei Zhang, Yanwei Fu, Chi Zhang, Chenfeng Meng, Orhan Kaplan, Christos Masouros
https://arxiv.org/abs/2509.06968

Deep Learning-based Techniques for Integrated Sensing and Communication Systems: State-of-the-Art, Challenges, and Opportunities
This article comprehensively reviews recent developments and research on deep learning-based (DL-based) techniques for integrated sensing and communication (ISAC) systems. ISAC, which combines sensing and communication functionalities, is regarded as a key enabler for 6G and beyond networks, as many emerging applications, such as vehicular networks and industrial robotics, necessitate both sensing and communication capabilities for effective operation. A unified platform that provides both func…

Deep Learning-based Human Gesture Channel Modeling for Integrated Sensing and Communication Scenarios
Zhengyu Zhang, Neeraj Varshney, Jelena Senic, Raied Caromi, Samuel Berweger, Camillo Gentile, Enrico M. Vitucci, Ruisi He, Vittorio Degli-Esposti
https://arxiv.org/abs/2507.06588

Deep Learning-based Human Gesture Channel Modeling for Integrated Sensing and Communication Scenarios
With the development of Integrated Sensing and Communication (ISAC) for Sixth-Generation (6G) wireless systems, contactless human recognition has emerged as one of the key application scenarios. Since human gesture motion induces subtle and random variations in wireless multipath propagation, how to accurately model human gesture channels has become a crucial issue for the design and validation of ISAC systems. To this end, this paper proposes a deep learning-based human gesture channel modelin…

Time-Modulated Intelligent Reflecting Surfaces for Integrated Sensing, Communication and Security: A Generative AI Design Framework
Zhihao Tao, Athina Petropulu, H. Vincent Poor
https://arxiv.org/abs/2509.05565

Time-Modulated Intelligent Reflecting Surfaces for Integrated Sensing, Communication and Security: A Generative AI Design Framework
We propose a novel approach to achieve physical layer security for integrated sensing and communication (ISAC) systems operating in the presence of targets that may be eavesdroppers. The system is aided by a time-modulated intelligent reflecting surface (TM-IRS), which is configured to preserve the integrity of the transmitted data at one or more legitimate communication users (CUs) while making them appear scrambled in all other directions. The TM-IRS design leverages a generative flow network…