Tootfinder

Google has been banned from selling the Pixel 7 in Japan due to a patent dispute related to 4G connectivity; further bans against the Pixel 8 and 9 are possible (Ben Schoon/9to5Google)
https://9to5google.com/2025/06/26/google-pixel-japan-sales-ban/
…

Google banned from selling select Pixel phones in Japan, and it might not end there
Google has been banned from selling select Pixel phones in Japan over a patent dispute, and it might not end there.

Almost Tight Additive Guarantees for \boldmath $k$-Edge-Connectivity
Nikhil Kumar, Chaitanya Swamy
https://arxiv.org/abs/2506.20906 https://

Almost Tight Additive Guarantees for \boldmath $k$-Edge-Connectivity
We consider the \emph{$k$-edge connected spanning subgraph} (kECSS) problem, where we are given an undirected graph $G = (V, E)$ with nonnegative edge costs $\{c_e\}_{e\in E}$, and we seek a minimum-cost \emph{$k$-edge connected} subgraph $H$ of $G$. For even $k$, we present a polytime algorithm that computes a $(k-2)$-edge connected subgraph of cost at most the optimal value $LP^*$ of the natural LP-relaxation for kECSS; for odd $k$, we obtain a $(k-3)$-edge connected subgraph of cost at most …

No sector has seen greater change than automotive. Packed with intelligent sensors, AI, GPS, cameras and in-car software, today’s vehicles generate and transmit vast volumes of data.
While this helps with seamless connectivity and smarter driving, it also creates serious security, privacy, and compliance risks automotive firms and tech providers can’t afford to ignore.

How connected cars are creating new data protection risks
Seamless connectivity helps with smarter driving, but creates security, privacy and compliance risks vendors can’t afford to ignore, argues Jonathan Armstrong.

Learning a foreign language in older adults shapes the functional connectivity of distinct cerebellar sub-regions with cortical areas rich in CB1 receptor expression https://onlinelibrary.wiley.com/doi/10.1002/brb3.70565

Doppler Estimation and Compensation Techniques in LoRa Direct-to-Satellite Communications
Jamil Farhat, Gianni Pasolini, Enrico Paolini, Muhammad Asad Ullah, Richard Demo Souza
https://arxiv.org/abs/2506.20858

Doppler Estimation and Compensation Techniques in LoRa Direct-to-Satellite Communications
Within the LPWAN framework, the LoRa modulation adopted by LoRaWAN technology has garnered significant interest as a connectivity solution for IoT applications due to its ability to offer low-cost, low-power, and long-range communications. One emerging use case of LoRa is DtS connectivity, which extends coverage to remote areas for supporting IoT operations. The satellite IoT industry mainly prefers LEO because it has lower launch costs and less path loss compared to Geostationary orbit. Howeve…

Convergent and divergent connectivity patterns of the arcuate fasciculus in macaques and humans
Jiahao Huang, Ruifeng Li, Wenwen Yu, Anan Li, Xiangning Li, Mingchao Yan, Lei Xie, Qingrun Zeng, Xueyan Jia, Shuxin Wang, Ronghui Ju, Feng Chen, Qingming Luo, Hui Gong, Xiaoquan Yang, Yuanjing Feng, Zheng Wang
https://arxiv.org/abs/25…

Convergent and divergent connectivity patterns of the arcuate fasciculus in macaques and humans
The organization and connectivity of the arcuate fasciculus (AF) in nonhuman primates remain contentious, especially concerning how its anatomy diverges from that of humans. Here, we combined cross-scale single-neuron tracing - using viral-based genetic labeling and fluorescence micro-optical sectioning tomography in macaques (n = 4; age 3 - 11 years) - with whole-brain tractography from 11.7T diffusion MRI. Complemented by spectral embedding analysis of 7.0T MRI in humans, we performed a compa…

Realization of a Quantum Error Detection Code with a Dynamically Reassigned Ancillary Qubit
Alena S. Kazmina, Artyom M. Polyanskiy, Elena Yu. Egorova, Nikolay N. Abramov, Daria A. Kalacheva, Viktor B. Lubsanov, Aleksey N. Bolgar, Ilya A. Simakov
https://arxiv.org/abs/2506.20529

Realization of a Quantum Error Detection Code with a Dynamically Reassigned Ancillary Qubit
Quantum error correction (QEC) is essential for achieving fault-tolerant quantum computing. While superconducting qubits are among the most promising candidates for scalable QEC, their limited nearest-neighbor connectivity presents significant challenges for implementing a wide range of error correction codes. In this work, we experimentally demonstrate a quantum error detection scheme that employs a dynamically reassigned ancillary qubit on a chain of three linearly connected transmon qubits. …

🌎 🌍 New agreement between GÉANT and EXA Infrastructure to deliver terabit expansion of R&E connectivity between #Europe and #NorthAmerica.
This strategic investment, procured under the GN5-IC1 project and planned in coordination with our community, with ESnet and with the ANA collaboration, …

GÉANT and EXA Infrastructure announce IRU agreement for terabit expansion of transatlantic R&E connectivity between Europe and North America | GÉANT CONNECT Online
GÉANT and digital infrastructure provider EXA Infrastructure are excited to announce the signature of an historical long-term agreement to deliver a major expansion of the transatlantic connectivity dedicated to Research and Education (R&E) collaboration between Europe and North America. Procured under GN5-IC1, the ambitious project planning and implementing GÉANT’s intercontinental connectivity investments, the new Indefeasible

Accelerating GNN Training through Locality-aware Dropout and Merge
Gongjian Sun, Mingyu Yan, Dengke Han, Runzhen Xue, Duo Wang, Xiaochun Ye, Dongrui Fan
https://arxiv.org/abs/2506.21414

Accelerating GNN Training through Locality-aware Dropout and Merge
Graph Neural Networks (GNNs) have demonstrated significant success in graph learning and are widely adopted across various critical domains. However, the irregular connectivity between vertices leads to inefficient neighbor aggregation, resulting in substantial irregular and coarse-grained DRAM accesses. This lack of data locality presents significant challenges for execution platforms, ultimately degrading performance. While previous accelerator designs have leveraged on-chip memory and data a…

Solving the Problem of Poor Internet Connectivity in Dhaka: Innovative Solutions Using Advanced WebRTC and Adaptive Streaming Technologies
Pavel Malinovskiy
https://arxiv.org/abs/2506.17343

Solving the Problem of Poor Internet Connectivity in Dhaka: Innovative Solutions Using Advanced WebRTC and Adaptive Streaming Technologies
Dhaka, Bangladesh, one of the world's most densely populated cities, faces severe challenges in maintaining reliable, high-speed internet connectivity. This paper presents an innovative framework that addresses poor mobile data connections through the integration of advanced WebRTC technology with adaptive streaming and server-side recording solutions. Focusing on the unique network conditions in Dhaka in 2025, our approach combines dynamic transcoding, real-time error correction, and optimized…

interesting, from around 10:00 there is large scale internet/mobile network connectivity problems in the netherlands: #nato

Found the specs sheet.
The front camera and ultrawide camera seem to be considerably worse.
The normal wide camera seems to be better, except it lost the electronic stabilisation (not sure how important that is tbh).
The battery is better, but it needs a screwdriver to be changed so no more switch during the day if you don’t have a screwdriver always on you. This comes with no added water resistance, which makes me wonder why they did this.
The display seems to be worse? The resolution is smaller which makes sense since the size is smaller, but also it seems to have less PPI than the Fairphone 5. The refresh rate is higher tho.
It has worse USB-C connectivity as well, the Fairphone 6 has just USB 2.0 (!!!!) compared to 3.0 on the Fairphone 5.
They also got rid of the sky blue color (which was the prettiest imo) and of the transparent option.
I don’t really understand Qualcomm processors, but at least the new GPU seems to have a better benchmark score?
#Fairphone #Fairphone5 #Fairphone6

Local Connectivity of Right-angled Coxeter group boundaries
Michael Mihalik, Kim Ruane, Steve Tschantz
https://arxiv.org/abs/2507.17574 https://arxiv.org/p…

Local Connectivity of Right-angled Coxeter group boundaries
We provide conditions on the defining graph of a right-angled Coxeter group presentation that guarantees the boundary of any CAT(0) space on which the group acts geometrically will be locally connected. This is a revised version of a published paper where we streamline some of the proofs and add figures.

MIT Experiment Finds ChatGPT-Assisted Writing Weakens Student Brain Connectivity and Memory - Slashdot
https://science.slashdot.org/story/25/06/19/089201/mit-experiment-finds-chatgpt-assisted-writing-weakens-student-brain-connectivity-and-memory

Starlink says it's experiencing a network outage and is "implementing a solution"; NetBlocks reports that connectivity dropped to "16% of ordinary levels" (Richard Lawler/The Verge)
https://www.theverge.com/news/713359/starlink-down-ou…

Starlink satellite internet service is down everywhere
SpaceX’s satellite internet service, Starlink, is down globally, due to a “network outage.”

An Energy-Autonomous and Battery-Free Resistive Sensor using a Time-Domain to Digital Conversion with Bluetooth Low Energy connectivity
Mario Costanza, Antonino Pagano, Samuel Margueron, Ilenia Tinnirello, Roberto La Rosa
https://arxiv.org/abs/2507.17011

An Energy-Autonomous and Battery-Free Resistive Sensor using a Time-Domain to Digital Conversion with Bluetooth Low Energy connectivity
This paper introduces an innovative Energy-Autonomous Wireless Sensing Node (EAWSN) that addresses power constraints by harnessing ambient light for energy. It combines this energy harvesting capability with the Time Domain to Digital Conversion (TDDC) technique for efficient and accurate measurements of resistive sensors. Bluetooth Low Energy (BLE) communication ensures data can be transmitted wirelessly to a base station, providing a promising solution for various applications, particularly i…

GALE: Leveraging Heterogeneous Systems for Efficient Unstructured Mesh Data Analysis
Guoxi Liu, Thomas Randall, Rong Ge, Federico Iuricich
https://arxiv.org/abs/2507.15230

GALE: Leveraging Heterogeneous Systems for Efficient Unstructured Mesh Data Analysis
Unstructured meshes present challenges in scientific data analysis due to irregular distribution and complex connectivity. Computing and storing connectivity information is a major bottleneck for visualization algorithms, affecting both time and memory performance. Recent task-parallel data structures address this by precomputing connectivity information at runtime while the analysis algorithm executes, effectively hiding computation costs and improving performance. However, existing approaches…

BrainSymphony: A Transformer-Driven Fusion of fMRI Time Series and Structural Connectivity
Moein Khajehnejad, Forough Habibollahi, Adeel Razi
https://arxiv.org/abs/2506.18314

BrainSymphony: A Transformer-Driven Fusion of fMRI Time Series and Structural Connectivity
Existing foundation models for neuroimaging are often prohibitively large and data-intensive. We introduce BrainSymphony, a lightweight, parameter-efficient foundation model that achieves state-of-the-art performance while being pre-trained on significantly smaller public datasets. BrainSymphony's strong multimodal architecture processes functional MRI data through parallel spatial and temporal transformer streams, which are then efficiently distilled into a unified representation by a Perceive…

Replaced article(s) found for quant-ph. https://arxiv.org/list/quant-ph/new
[2/2]:
- Percolation thresholds and connectivity in quantum networks
Andrea De Girolamo, Giuseppe Magnifico, Cosmo Lupo

Identifying Neural Connectivity using Bernoulli Autoregressive Partially Linear Additive Models
Carla Pinkney, Carolina Euan, Alex Gibberd
https://arxiv.org/abs/2507.18218 https…

Identifying Neural Connectivity using Bernoulli Autoregressive Partially Linear Additive Models
Characterising the interactions between spiking neurons is central to our understanding of cognitive processes such as memory, perception and decision making. In this work, we consider the problem of inferring connectivity in the brain network from non-stationary high-dimensional spike train data. Under a binned spike count representation of these data, we propose a Bernoulli autoregressive partially linear additive (BAPLA) model to identify the effective connectivity of a population of neurons…

Neighbor Connectivity of Undirected Toroidal Meshes
Hui-Ming Huang, Ruichao Niu, Min Xu, Jou-Ming Chang
https://arxiv.org/abs/2506.14240 https://

Neighbor Connectivity of Undirected Toroidal Meshes
In this paper, we examine the neighbor connectivity, denoted as $κ_{NB}$, of the undirected toroidal mesh $C(d_1,d_2,\ldots,d_n)$. We demonstrate that $κ_{NB}(C(d_1,d_2,\ldots,d_n)) = n$ for all $n \ge 2$ and $d_i \ge 3$ (for $1 \le i \le n$). Additionally, we perform a computer simulation experiment on neighbor connectivity in undirected toroidal meshes. This experiment not only supports our theoretical findings with empirical results but also provides a deeper understanding of neighbor stru…

Robust and Resilient Networks with Integrated Sensing, Communication and Computation
Ming-Chun Lee, Christian Eckrich, Vahid Jamali, Yu-Chih Huang, Arash Asadi, Li-Chun Wang
https://arxiv.org/abs/2506.19518

Robust and Resilient Networks with Integrated Sensing, Communication and Computation
Emerging applications such as networked robotics, intelligent transportation, smart factories, and virtual and augmented reality demand integrated perception and connectivity enabled by wireless communication. This has driven growing interests in integrated sensing, communication, and computation (ISCC) systems, with a primary focus on their efficient co-designs. However, as ISCC systems increasingly support critical applications, they must not only deliver high performance but also demonstrate…

The User Perspective on Island-Ready 6G Communication: A Survey of Future Smartphone Usage in Crisis-Struck Areas with Local Cellular Connectivity
Leon Janzen, Florentin Putz, Marc-Andr\'e Kaufhold, Kolja Straub, Matthias Hollick
https://arxiv.org/abs/2506.13466

The User Perspective on Island-Ready 6G Communication: A Survey of Future Smartphone Usage in Crisis-Struck Areas with Local Cellular Connectivity
Using smartphone apps during crises is well-established, proving critical for efficient crisis response. However, such apps become futile without an Internet connection, which is a common issue during crises. The ongoing 6G standardization explores the capability to provide local cellular connectivity for areas cut off from the Internet in crises. This paper introduces to the HCI community the concept of cellular island connectivity in isolated areas, promising a seamless transition from normal…

Replaced article(s) found for cs.GT. https://arxiv.org/list/cs.GT/new
[1/1]:
- Game Connectivity and Adaptive Dynamics
Tom Johnston, Michael Savery, Alex Scott, Bassel Tarbush

macaque_neural: Macaque cortical connectivity (Young)
A network of cortical regions in the Macaque cortex.
This network has 47 nodes and 505 edges.
Tags: Biological, Connectome, Unweighted
https://networks.skewed.de/net/macaque_neural
Ridiculogram:

This https://arxiv.org/abs/2505.03458 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_qbi…

The classification of Alzheimer's disease and mild cognitive impairment improved by dynamic functional network analysis
Brain network analysis using functional MRI has advanced our understanding of cortical activity and its changes in neurodegenerative disorders that cause dementia. Recently, research in brain connectivity has focused on dynamic (time-varying) brain networks that capture both spatial and temporal information on cortical, regional co-activity patterns. However, this approach has been largely unexplored within the Alzheimer's spectrum. We analysed age- and sex-matched static and dynamic fMRI brain…

Breaking Single-Tester Limits: Multi-Agent LLMs for Multi-User Feature Testing
Sidong Feng, Changhao Du, Huaxiao Liu, Qingnan Wang, Zhengwei Lv, Mengfei Wang, Chunyang Chen
https://arxiv.org/abs/2506.17539

Breaking Single-Tester Limits: Multi-Agent LLMs for Multi-User Feature Testing
The growing dependence on mobile phones and their apps has made multi-user interactive features, like chat calls, live streaming, and video conferencing, indispensable for bridging the gaps in social connectivity caused by physical and situational barriers. However, automating these interactive features for testing is fraught with challenges, owing to their inherent need for timely, dynamic, and collaborative user interactions, which current automated testing methods inadequately address. Inspi…

Ultrabroadband Integrated Photonics Empowering Full-Spectrum Adaptive Wireless Communications
Zihan Tao, Haoyu Wang, Hanke Feng, Yijun Guo, Bitao Shen, Dan Sun, Yuansheng Tao, Changhao Han, Yandong He, John Bowers, Haowen Shu, Cheng Wang, Xingjun Wang
https://arxiv.org/abs/2507.18108

Ultrabroadband Integrated Photonics Empowering Full-Spectrum Adaptive Wireless Communications
The forthcoming sixth-generation (6G) and beyond (XG) wireless networks are poised to operate across an expansive frequency range from microwave, millimeter-wave to terahertz bands to support ubiquitous connectivity in diverse application scenarios. This necessitates a one-size-fits-all hardware solution that can be adaptively reconfigured within this wide spectrum to support full-band coverage and dynamic spectrum management. However, existing electrical or photonic-assisted wireless communica…

A Manual for Ends, Semistability and Simple Connectivity at Infinity for Groups and Spaces
Michael Mihalik
https://arxiv.org/abs/2507.17060 https://arxiv.o…

A Manual for Ends, Semistability and Simple Connectivity at Infinity for Groups and Spaces
This article is intended to be an up to date archive of the current state of the questions: Which finitely generated groups $G$: have semistable fundamental group at infinity; are simply connected at infinity; are such that $H^2(G,\mathbb ZG)$ is free abelian or trivial. The idea is not to reprove these results, but to provide a historical record of the progress on these questions and provide a list of the most general results. We also prove or cite all of the results that make up the basic the…

Damn FTTN. Wasted over 20 minutes trying to fix the lack of internet connectivity before NBN decided to finally announce that there was an unexpected outage. Supposedly fixed an hour later. However, now it just keeps dropping out continually. You know there's a problem when the line status test shows the stability as RISKY.
#NBN

#WhyDoIPreferActivityPub / #Mastodon
Because Threads is not federated for Threads users who live in the EU (guess why), and because Bluesky's connectivity with ActivityPub and its thousands of independent servers is sketchy. And even if that changed eventua…

Centre driven Controlled Evolution of Wireless Virtual Networks based on Broadcast Tokens
Vignesh Babu, Atishay Jain, Kannan Karthik
https://arxiv.org/abs/2506.16615

Centre driven Controlled Evolution of Wireless Virtual Networks based on Broadcast Tokens
In a wireless sensor network, the virtual connectivity between nodes is a function of the keys shared between various nodes. Pre-embedding these key configurations in the nodes would make the network inflexible. On the other hand, permitting subsets of nodes to engage in a common key synthesis phase to create secure distributed connections amongst themselves, would decouple and conceal the information flow from the controlling centre. An intermediate solution is the notion of a centre driven ke…

Replaced article(s) found for econ.TH. https://arxiv.org/list/econ.TH/new
[1/1]:
- Game Connectivity and Adaptive Dynamics
Tom Johnston, Michael Savery, Alex Scott, Bassel Tarbush

Expansion creates spin-glass order in finite-connectivity models: a rigorous and intuitive approach from the theory of LDPC codes
Benedikt Placke, Grace M. Sommers, Nikolas P. Breuckmann, Tibor Rakovszky, Vedika Khemani
https://arxiv.org/abs/2507.13342

Expansion creates spin-glass order in finite-connectivity models: a rigorous and intuitive approach from the theory of LDPC codes
Complex free-energy landscapes with many local minima separated by large barriers are believed to underlie glassy behavior across diverse physical systems. This is the heuristic picture associated with replica symmetry breaking (RSB) in spin glasses, but RSB has only been rigorously verified for certain mean-field models with all-to-all connectivity. In this work, we give a rigorous proof of finite temperature spin glass order for a family of models with local interactions on finite-connectivit…

from my link log —
Deploying IPv6-mostly access networks.
https://labs.ripe.net/author/ondrej_caletka_1/deploying-ipv6-mostly-access-networks/
saved 2023-05-07

Deploying IPv6-Mostly Access Networks
Dual stack is the most common way of deploying IPv6 in access networks. A recent standard defines IPv6-mostly access networks, providing IPv4 connectivity only for legacy devices while allowing modern devices to run IPv6-only. It is already well supported and allows network operators to gradually p…

Boundary of the central hyperbolic component I: dynamical properties
Jie Cao, Xiaoguang Wang, Yongcheng Yin
https://arxiv.org/abs/2506.18487 https://

Boundary of the central hyperbolic component I: dynamical properties
We study the dynamics of polynomial maps on the boundary of the central hyperbolic component $\mathcal H_d$. We prove the local connectivity of Julia sets and a rigidity theorem for maps on the regular part of $\partial\mathcal H_d$. Our proof is based on the construction of Fatou trees and employs the puzzle technique as a key methodological framework. These results are applicable to a larger class of maps for which the maximal Fatou trees equal the filled Julia sets.

A Tractable Approach to Massive Communication and Ubiquitous Connectivity in 6G Standardization
Junyi Jiang (Angela), Wei Chen (Angela), Xin Guo (Angela), Shenghui Song (Angela), Ying Jun (Angela), Zhang, Zhu Han, Merouane Debbah, Khaled B. Letaief
https://arxiv.org/abs/2506.16304

A Tractable Approach to Massive Communication and Ubiquitous Connectivity in 6G Standardization
The full-scale 6G standardization has attracted considerable recent attention, especially since the first 3GPP-wide 6G workshop held in March 2025. To understand the practical and fundamental values of 6G and facilitate its standardization, it is crucial to explore the theoretical limits of spectrum, energy, and coverage efficiency considering practical hardware and signaling constraints. In this paper, we present a mean-field-approximation-based investigation on two out of six use case scenari…

Compensating connectivity restrictions in quantum annealers via splitting and linearization techniques
Marcel Seelbach Benkner, Zorah L\"ahner, Vladislav Golyanik, Martin Kliesch, Michael Moeller
https://arxiv.org/abs/2507.12536

Compensating connectivity restrictions in quantum annealers via splitting and linearization techniques
Current quantum annealing experiments often suffer from restrictions in connectivity in the sense that only certain qubits can be coupled to each other. The most common strategy to overcome connectivity restrictions so far is by combining multiple physical qubits into a logical qubit with higher connectivity, which is achieved by adding terms to the Hamiltonian. Practically, this strategy is implemented by finding a so-called minor embedding, which is in itself an NP-hard problem. In this work,…

Unveiling the small-scale web around galaxies with miniJPAS and DESI: the role of local connectivity in star formation
Daniela Gal\'arraga-Espinosa, Guinevere Kauffmann, Silvia Bonoli, Luisa Lucie-Smith, Rosa M. Gonz\'alez Delgado, Elmo Tempel, Raul Abramo, Siddharta Gurung-L\'opez, Valerio Marra, Jailson Alcaniz, Narciso Benitez, Saulo Carneiro, Javier Cenarro, David Crist\'obal-Hornillos, Renato Dupke, Alessandro Ederoclite, Antonio Hern\'an-Caballero, Carlos Hern…

Unveiling the small-scale web around galaxies with miniJPAS and DESI: the role of local connectivity in star formation
We present the first statistical observational study detecting small-scale filaments in the immediate surroundings of galaxies, i.e. the local web of galaxies. Simulations predict that cold gas, the fuel for star formation, is channeled through filamentary structures into galaxies. Yet, direct observational evidence for this process has been limited by the challenge of mapping the cosmic web at small scales. Using miniJPAS spectro-photometric data combined with spectroscopic DESI redshifts when…

Fractality of Wireless Mesh Networks: Dimensional Effects on Network Performance
Marat Zaidyn, Sayat Akhtanov, Dana Turlykozhayeva, Symbat Temesheva, Almat Akhmetali, Alisher Skabylov, Nurzhan Ussipov
https://arxiv.org/abs/2506.19366

Fractality of Wireless Mesh Networks: Dimensional Effects on Network Performance
Wireless mesh networks (WMNs) depend on the spatial distribution of nodes, which directly influences connectivity, routing efficiency, and overall network performance. Conventional models typically assume uniform or random node placement, which inadequately represent the complex, hierarchical spatial patterns observed in practical deployments. In this study, we present a novel algorithm that constructs WMN topologies with tunable fractal dimensions, allowing precise control over spatial self-si…

Fast Consensus over Almost Regular Directed Graphs
Susie Lu, Marco Gamarra, Ji Liu
https://arxiv.org/abs/2507.12726 https://arxiv.org…

Fast Consensus over Almost Regular Directed Graphs
This paper studies an open consensus network design problem: identifying the optimal simple directed graphs, given a fixed number of vertices and arcs, that maximize the second smallest real part of all Laplacian eigenvalues, referred to as algebraic connectivity. For sparse and dense graphs, the class of all optimal directed graphs that maximize algebraic connectivity is theoretically identified, leading to the fastest consensus. For general graphs, a computationally efficient sequence of almo…

Deterministic Lower Bounds for $k$-Edge Connectivity in the Distributed Sketching Model
Peter Robinson, Ming Ming Tan
https://arxiv.org/abs/2507.11257 http…

Deterministic Lower Bounds for $k$-Edge Connectivity in the Distributed Sketching Model
We study the $k$-edge connectivity problem on undirected graphs in the distributed sketching model, where we have $n$ nodes and a referee. Each node sends a single message to the referee based on its 1-hop neighborhood in the graph, and the referee must decide whether the graph is $k$-edge connected by taking into account the received messages. We present the first lower bound for deciding a graph connectivity problem in this model with a deterministic algorithm. Concretely, we show that the …

Percolation in the marked stationary Random Connection Model for higher-dimensional simplicial complexes
Dominik Pabst
https://arxiv.org/abs/2506.15038 htt…

Percolation in the marked stationary Random Connection Model for higher-dimensional simplicial complexes
We introduce a novel percolation model that generalizes the classical Random Connection Model (RCM) to a random simplicial complex, allowing for a more refined understanding of connectivity and emergence of large-scale structures in random topological spaces. Regarding percolation with respect to the notion of up-connectivity, we establish the existence of a sharp phase transition for the appearance of a giant component, akin to the well-known threshold behavior in random graphs. This sharp pha…

Estimating Multiple Weighted Networks with Node-Sparse Differences and Shared Low-Rank Structure
Hao Yan, Keith Levin
https://arxiv.org/abs/2506.15915 http…

Estimating Multiple Weighted Networks with Node-Sparse Differences and Shared Low-Rank Structure
We study the problem of modeling multiple symmetric, weighted networks defined on a common set of nodes, where networks arise from different groups or conditions. We propose a model in which each network is expressed as the sum of a shared low-rank structure and a node-sparse matrix that captures the differences between conditions. This formulation is motivated by practical scenarios, such as in connectomics, where most nodes share a global connectivity structure while only a few exhibit condit…

AI-driven Orchestration at Scale: Estimating Service Metrics on National-Wide Testbeds
Rodrigo Moreira, Rafael Pasquini, Joberto S. B. Martins, Tereza C. Carvalho, Fl\'avio de Oliveira Silva
https://arxiv.org/abs/2507.16077

AI-driven Orchestration at Scale: Estimating Service Metrics on National-Wide Testbeds
Network Slicing (NS) realization requires AI-native orchestration architectures to efficiently and intelligently handle heterogeneous user requirements. To achieve this, network slicing is evolving towards a more user-centric digital transformation, focusing on architectures that incorporate native intelligence to enable self-managed connectivity in an integrated and isolated manner. However, these initiatives face the challenge of validating their results in production environments, particular…

Hamiltonian connectivity of some base-cobase graphs
Leonardo Mart\'inez-Sandoval, Kolja Knauer
https://arxiv.org/abs/2506.15049 https://

Hamiltonian connectivity of some base-cobase graphs
There has been wide interest in understanding which properties of base graphs of matroids extend to base-cobase graphs of matroids. A significant result of Naddef and Pulleyblank (1984) shows that the $1$-skeleton of any $(0,1)$-polytope is either a hypercube, or Hamiltonian-connected, i.e. there is a Hamiltonian path connecting any two vertices. In particular, this is true for base graphs of matroids. A natural question raised by Farber, Richter, and Shank (1985) is whether this extends to bas…

Nonmonotonic consensus transitions in bounded-confidence dynamics on unbiased networks
Paolo Molignini
https://arxiv.org/abs/2507.14276 https://

Nonmonotonic consensus transitions in bounded-confidence dynamics on unbiased networks
We study the Hegselmann-Krause model of opinion dynamics on sparse, unbiased networks generated via Wilson's algorithm, unveiling how network connectivity and confidence bounds jointly determine collective behavior. By systematically exploring the parameter space spanned by the confidence level $ε$ and the mean degree density $μ$, we construct comprehensive phase diagrams that classify the emergent steady states into different degrees of fragmentation and consensus. We uncover a nonmonotonic …

Excitonic Properties and Optical Signatures in Quasi-1D Metal-Halide Perovskites with Tunable Octahedral Connectivity
Kostas Fykouras, Linn Leppert
https://arxiv.org/abs/2506.07762

Excitonic Properties and Optical Signatures in Quasi-1D Metal-Halide Perovskites with Tunable Octahedral Connectivity
Reducing the dimensionality of metal-halide perovskites enhances quantum and dielectric confinement, enabling tunable excitonic properties. In one dimension, the arrangement of metal-halide octahedra in chains with corner-, edge-, or face-sharing connectivity allows for additional structural flexibility. This not only expands material design possibilities but also reflects quasi-one-dimensional motifs that arise during perovskite formation but are poorly understood. Using first-principles many-…

Embedded FPGA Acceleration of Brain-Like Neural Networks: Online Learning to Scalable Inference
Muhammad Ihsan Al Hafiz, Naresh Ravichandran, Anders Lansner, Pawel Herman, Artur Podobas
https://arxiv.org/abs/2506.18530

Embedded FPGA Acceleration of Brain-Like Neural Networks: Online Learning to Scalable Inference
Edge AI applications increasingly require models that can learn and adapt on-device with minimal energy budget. Traditional deep learning models, while powerful, are often overparameterized, energy-hungry, and dependent on cloud connectivity. Brain-Like Neural Networks (BLNNs), such as the Bayesian Confidence Propagation Neural Network (BCPNN), propose a neuromorphic alternative by mimicking cortical architecture and biologically-constrained learning. They offer sparse architectures with local …

"Brain-only participants exhibited the strongest, most distributed networks; Search Engine users showed moderate engagement; and LLM users displayed the weakest connectivity."
"LLM users also struggled to accurately quote their own work."
"Over four months, LLM users consistently underperformed at neural, linguistic, and behavioral levels."

A Sea of Cyber Threats: Maritime Cybersecurity from the Perspective of Mariners
Anna Raymaker, Akshaya Kumar, Miuyin Yong Wong, Ryan Pickren, Animesh Chhotaray, Frank Li, Saman Zonouz, Raheem Beyah
https://arxiv.org/abs/2506.15842

A Sea of Cyber Threats: Maritime Cybersecurity from the Perspective of Mariners
Maritime systems, including ships and ports, are critical components of global infrastructure, essential for transporting over 80% of the world's goods and supporting internet connectivity. However, these systems face growing cybersecurity threats, as shown by recent attacks disrupting Maersk, one of the world's largest shipping companies, causing widespread impacts on international trade. The unique challenges of the maritime environment--such as diverse operational conditions, extensive physi…

Toward Federated DeePC: borrowing data from similar systems
Gert Vankan, Valentina Breschi, Simone Formentin
https://arxiv.org/abs/2507.17610 https://arxiv…

Toward Federated DeePC: borrowing data from similar systems
Data-driven predictive control approaches, in general, and Data-enabled Predictive Control (DeePC), in particular, exploit matrices of raw input/output trajectories for control design. These data are typically gathered only from the system to be controlled. Nonetheless, the increasing connectivity and inherent similarity of (mass-produced) systems have the potential to generate a considerable amount of information that can be exploited to undertake a control task. In light of this, we propose a…

Anybody remember this?
This was the Sierra Wireless AirCard 300 that enabled wireless dial-up remote access connectivity over CDPD networking on laptops at roughly 9600bps. Great for Outlook email or accessing small files over SMB.
https://en.m.wikipedia.org/wiki/Cellular_…

From Fiber Tracts to Tumor Spread: Biophysical Modeling of Butterfly Glioma Growth Using Diffusion Tensor Imaging
Jonas Weidner, Ivan Ezhov, Michal Balcerak, Andr\'e Datchev, Lucas Zimmer, Daniel Rueckert, Bj\"orn Menze, Benedikt Wiestler
https://arxiv.org/abs/2507.17707

From Fiber Tracts to Tumor Spread: Biophysical Modeling of Butterfly Glioma Growth Using Diffusion Tensor Imaging
Butterfly tumors are a distinct class of gliomas that span the corpus callosum, producing a characteristic butterfly-shaped appearance on MRI. The distinctive growth pattern of these tumors highlights how white matter fibers and structural connectivity influence brain tumor cell migration. To investigate this relation, we applied biophysical tumor growth models to a large patient cohort, systematically comparing models that incorporate fiber tract information with those that do not. Our results…

Connecting the Unconnected -- Sentiment Analysis of Field Survey of Internet Connectivity in Emerging Economies
Dibakar Das, Barath S Narayan, Aarna Bhammar, Jyotsna Bapat
https://arxiv.org/abs/2507.06827

Connecting the Unconnected -- Sentiment Analysis of Field Survey of Internet Connectivity in Emerging Economies
Internet has significantly improved the quality of citizens across the world. Though the internet coverage is quite high, 40% of global population do not have access to broadband internet. This paper presents an analysis of a field survey of population in some areas of Kathmandu, Nepal, an emerging economy. This survey was triggered by intermittent severe congestion of internet in certain areas of the city. People from three different areas were asked about their present experience of internet …

Interplay of Zeeman Splitting and Tunnel Coupling in Coherent Spin Qubit Shuttling
Ssu-Chih Lin, Paul Steinacker, MengKe Feng, Ajit Dash, Santiago Serrano, Wee Han Lim, Kohei M. Itoh, Fay E. Hudson, Tuomo Tanttu, Andre Saraiva, Arne Laucht, Andrew S. Dzurak, Hsi-Sheng Goan, Chih Hwan Yang
https://arxiv.org/abs/2507.15554

Interplay of Zeeman Splitting and Tunnel Coupling in Coherent Spin Qubit Shuttling
Spin shuttling offers a promising approach for developing scalable silicon-based quantum processors by addressing the connectivity limitations of quantum dots (QDs). In this work, we demonstrate high-fidelity bucket-brigade (BB) spin shuttling in a silicon MOS device, utilizing Pauli Spin Blockade (PSB) readout. We achieve an average shuttling fidelity of \SI{99.8}{\percent}. The residual shuttling error is highly sensitive to the ratio between interdot tunnel coupling and Zeeman splitting, wit…

Numerical conformal mapping
Lloyd N. Trefethen
https://arxiv.org/abs/2507.14872 https://arxiv.org/pdf/2507.14872

Numerical conformal mapping
Conformal mapping may be the best-known topic in complex analysis. Any simply connected nonempty domain $Ω$ in the complex plane ${\mathbb{C}}$ (assuming $Ω\ne {\mathbb{C}}$) can be mapped bijectively to the unit disk by an analytic function with nonvanishing derivative, as in Figure 1. If $Ω$ is doubly-connected, it can be mapped to a circular annulus $1<|z|

For a long time, it was thought that smart charging required the charging point to be made ‘smart’. However, the significant growth of smart charging – including in Europe – lies in car connectivity. This creates the best and most logical user experience and makes a fleet of EVs grid-responsive.

WeaveGrid and Rivian Collaborate to Deliver Advanced Grid-Integrated Charging Solutions | WeaveGrid
The new collaboration will enable Rivian drivers to participate in utility managed charging programs that support grid reliability and decarbonization.

A Fault-Tolerant Architecture for Urban and Rural Digital Connectivity: Synergizing SDWMN, Direct-to-Mobile Broadcasting, and Hybrid Cloud Streaming
Pavel Malinovskiy
https://arxiv.org/abs/2507.14205

A Fault-Tolerant Architecture for Urban and Rural Digital Connectivity: Synergizing SDWMN, Direct-to-Mobile Broadcasting, and Hybrid Cloud Streaming
We propose an integrated architecture combining Software-Defined Wireless Mesh Networks (SDWMN), Direct-to-Mobile (D2M) broadcasting, and Kafka-based hybrid cloud streaming to improve wireless network performance in both urban and rural settings. The approach addresses urban congestion and rural digital exclusion through traffic offloading, enhanced fault tolerance, and equitable resource allocation. We model urban congestion $ρ_u = λ_t / μ_c$ and rural coverage deficit $δ_r = 1 - C_r / C_{…

Topological signatures of jamming in granular force networks via persistent homology
Vishali S, Abrar Naseer, Vijay Natarajan, Tejas G Murthy
https://arxiv.org/abs/2507.13690

Topological signatures of jamming in granular force networks via persistent homology
Granular materials exhibit intricate force networks, often concentrated in chains rather than being uniformly distributed. These meso-scale structures are complex to characterize, owing to their heterogeneous and anisotropic nature. We present a topological analysis in which we characterize force networks by studying the connectivity of contact forces in granular materials. We obtain the force network data during the isotropic compression of a 2D granular ensemble, which comprises of bidisperse…

Beyond Connectivity: Higher-Order Network Framework for Capturing Memory-Driven Mobility Dynamics
Chen Zhang, J\"urgen Hackl
https://arxiv.org/abs/2507.07727

Beyond Connectivity: Higher-Order Network Framework for Capturing Memory-Driven Mobility Dynamics
Understanding and predicting mobility dynamics in transportation networks is critical for infrastructure planning, resilience analysis, and traffic management. Traditional graph-based models typically assume memoryless movement, limiting their ability to capture sequential dependencies inherent in real-world mobility patterns. In this study, we introduce a novel higher-order network framework for modeling memory-dependent dynamics in transportation systems. By extending classical graph represen…

Log-Euclidean Frameworks for Smooth Brain Connectivity Trajectories
Olivier Bisson (EPIONE, UniCA), Yanis Aeschlimann (CRONOS, UniCA), Samuel Deslauriers-Gauthier (CRONOS, UniCA), Xavier Pennec (EPIONE, UniCA)
https://arxiv.org/abs/2507.15374

Log-Euclidean Frameworks for Smooth Brain Connectivity Trajectories
The brain is often studied from a network perspective, where functional activity is assessed using functional Magnetic Resonance Imaging (fMRI) to estimate connectivity between predefined neuronal regions. Functional connectivity can be represented by correlation matrices computed over time, where each matrix captures the Pearson correlation between the mean fMRI signals of different regions within a sliding window. We introduce several Log-Euclidean Riemannian framework for constructing smooth…

Did a smidge of cable management because the fiber runs to the QNAP needed a bit more slack. Things I love: being able to disconnect the connections to the iSCSI storage and have absolutely no loss of connectivity.
#homelab

On the role of connectivity in Linear Logic proofs
Raffaele Di Donna, Lorenzo Tortora de Falco
https://arxiv.org/abs/2506.21678 https://

On the role of connectivity in Linear Logic proofs
We investigate a property that extends the Danos-Regnier correctness criterion for linear logic proof-structures. The property applies to the correctness graphs of a proof-structure: it states that any such graph is acyclic and that the number of its connected components is exactly one more than the number of nodes bottom or weakening. This is known to be necessary but not sufficient in multiplicative exponential linear logic (MELL) to recover a sequent calculus proof from a proof-structure. We…

This https://arxiv.org/abs/2212.06782 has been replaced.
link: https://scholar.google.com/scholar?q=a

On Computing Vertex Connectivity of 1-Plane Graphs
The vertex connectivity of a graph $G$ is the size of the smallest set of vertices $S$ such that $G \setminus S$ is disconnected. For the class of planar graphs, the problem of vertex connectivity is well-studied, both from structural and algorithmic perspectives. Let $G$ be a plane embedded graph, and $Λ(G)$ be an auxiliary graph obtained by inserting a face vertex inside each face and connecting it to all vertices of $G$ incident with the face. If $S$ is a minimal vertex cut of $G$, then the…

Connectivity for quantum graphs via quantum adjacency operators
Kristin Courtney, Priyanga Ganesan, Mateusz Wasilewski
https://arxiv.org/abs/2505.22519 htt…

Connectivity for quantum graphs via quantum adjacency operators
Connectivity is a fundamental property of quantum graphs, previously studied in the operator system model for matrix quantum graphs and via graph homomorphisms in the quantum adjacency matrix model. In this paper, we develop an algebraic characterization of connectivity for general quantum graphs within the quantum adjacency matrix framework. Our approach extends earlier results to the non-tracial setting and beyond regular quantum graphs. We utilize a quantum Perron-Frobenius theorem that prov…

Slow Fluid Antenna Multiple Access with Multiport Receivers
Jos\'e P. Gonz\'alez-Coma, F. Javier L\'opez-Mart\'inez
https://arxiv.org/abs/2507.17505 https://

Slow Fluid Antenna Multiple Access with Multiport Receivers
We investigate whether equipping fluid-antenna (FA) receivers with multiple ($L>1$) radiofrequency (RF) chains can improve the performance of the slow fluid-antenna multiple access (FAMA) technique, which enables open-loop connectivity with channel state information (CSI) available only at the receiver side. We analyze the case of slow-FAMA users equipped with multiport receivers, so that $L$ ports of the FA are selected and combined to reduce interference. We show that a joint design of the po…

macaque_neural: Macaque cortical connectivity (Young)
A network of cortical regions in the Macaque cortex.
This network has 47 nodes and 505 edges.
Tags: Biological, Connectome, Unweighted
https://networks.skewed.de/net/macaque_neural
Ridiculogram:

Fragmented quantum phases in anti-blockade regime of Rydberg atom array
Han-Chao Chen, Zheng-Yuan Zhang, Meng Zhou, Xin Liu, Li-Hua Zhang, Bang Liu, Lu-Xia Wang, Dong-Sheng Ding, Bao-Sen Shi
https://arxiv.org/abs/2507.17488

Fragmented quantum phases in anti-blockade regime of Rydberg atom array
In this Letter, we report a parameter-dependent Hilbert space fragmentation in a one-dimensional Rydberg atom array under anti-blockade conditions. We identify distinct non-equilibrium dynamical phases and show that their quasi-periodic behavior arises from the interplay of multi-path interference and multi-photon cascaded excitations, reflecting fundamental differences in state connectivity and effective dimensionality. By constructing a complete phase diagram, we reveal the transition from th…

On a conjecture concerning the extensions of a reciprocal matrix
Ros\'ario Fernandes
https://arxiv.org/abs/2507.16593 https://arx…

On a conjecture concerning the extensions of a reciprocal matrix
Let $A$ be a reciprocal matrix of order $n$ and $w$ be its Perron eigenvector. To infer the efficiency of $w$ for $A$, based on the principle of Pareto optimal decisions, we study the strong connectivity of a certain digraph associated with $A$ and $w$. A reciprocal matrix $B$ of order $n+1$ is an extension of $A$ if the matrix $A$ is obtained from $B$ by removing its last row and column. We prove that there is no extension of a reciprocal matrix whose digraph associated with the extension and …

Complex three-dimensional rearing environments amplify compensatory plasticity following early blindness https://www.biorxiv.org/content/10.1101/2025.05.02.651847v1 "underscoring the role of experience in directing compensatory plasticity following early sensory loss.&q…

Complex three-dimensional rearing environments amplify compensatory plasticity following early blindness
The neocortex has a remarkable capacity to alter its functional organization and connectivity in response to sensory loss, particularly if this loss occurs early in life. A key question is whether this cross-modal reorganization is driven by sensory deprivation itself or through enhanced use of the spared senses. We investigated how different rearing environments shape neural responses in primary somatosensory cortex (S1) of short-tailed opossums ( Monodelphis domestica) , following elimination…

Regularity and separation for Sierpi\'nski products of graphs
Riccardo W. Maffucci
https://arxiv.org/abs/2506.16864 https://arxiv…

Regularity and separation for Sierpiński products of graphs
The Sierpiński product of graphs generalises the vast and relevant class of Sierpiński-type graphs, and is also related to the classic lexicographic product of graphs. Our first main results are necessary and sufficient conditions for the higher connectivity of Sierpiński products. Among other applications, we characterise the polyhedral ($3$-connected and planar) Sierpiński products of polyhedra. Our other main result is the complete classification of the regular polyhedral Sierpiński pro…

Enabling Next-Generation Cloud-Connected Bionic Limbs Through 5G Connectivity
Ozan Karaali, Hossam Farag, Strahinja Dosen, Cedomir Stefanovic
https://arxiv.org/abs/2506.11744

Enabling Next-Generation Cloud-Connected Bionic Limbs Through 5G Connectivity
Despite the recent advancements in human-machine interfacing, contemporary assistive bionic limbs face critical challenges, including limited computational capabilities, high latency, and unintuitive control mechanisms, leading to suboptimal user experience and abandonment rates. Addressing these challenges requires a shift toward intelligent, interconnected solutions powered by advances in Internet of Things systems, particularly wireless connectivity and edge/cloud computing. This article pre…

Weak but influential: Nonlinear contributions of structural connectivity to human cognitive abilities and brain functions
Rong Wang, Zhao Chang, Xuechun Liu, Daniel Kristanto, \'Etienne G\'erard Guy Gartner, Xinyang Liu, Mianxin Liu, Ying Wu, Ming Lui, Changsong Zhou
https://arxiv.org/abs/2505.24125

Weak but influential: Nonlinear contributions of structural connectivity to human cognitive abilities and brain functions
Diverse human cognitive abilities are rooted in brain structural connectivity which has weights spanning several orders of magnitude. However, due to false-positive challenges in tractography, weak connectivity has been often treated as noise and ignored - despite its prevalence across mammalian brains. Here we show that weak connectivity significantly predicts human cognitive abilities and supports brain functions through amplification of its small weight in a nonlinear manner. Using the Human…

The Redundancy of Full Nodes in Bitcoin: A Network-Theoretic Demonstration of Miner-Centric Propagation Topologies
Dr Craig S Wright
https://arxiv.org/abs/2506.14197

The Redundancy of Full Nodes in Bitcoin: A Network-Theoretic Demonstration of Miner-Centric Propagation Topologies
This paper formally examines the network structure of Bitcoin CORE (BTC) and Bitcoin Satoshi Vision (BSV) using complex graph theory to demonstrate that home-hosted full nodes are incapable of participating in or influencing the propagation topology. Leveraging established models such as scale-free networks and small-world connectivity, we demonstrate that the propagation graph is dominated by a densely interconnected miner clique, while full nodes reside on the periphery, excluded from all tra…

Qualcomm agrees to acquire UK-listed Alphawave, which makes high-speed chip and connectivity tech for data centers, for $2.4B in cash, set to close in Q1 2026 (Amy Thomson/Bloomberg)
https://www.bloomberg.com/news/articles/20

High-speed and high-connectivity two-qubit gates in long chains of trapped ions
Isabelle Savill-Brown, Joseph J. Hope, Alexander K. Ratcliffe, Varun D. Vaidya, Haonan Liu, Simon A. Haine, C. Ricardo Viteri, Zain Mehdi
https://arxiv.org/abs/2506.11385

High-speed and high-connectivity two-qubit gates in long chains of trapped ions
We present a theoretical study of fast all-to-all entangling gates in trapped-ion quantum processors, based on impulsive excitation of spin-dependent motion with broadband laser pulses. Previous studies have shown that such fast gate schemes are highly scalable and naturally performant outside the Lamb-Dicke regime, however are limited to nearest-neighbour operations. Here we demonstrate that impulsive spin-dependent excitation can be used to perform high-fidelity non-local entangling operation…

Systems-Theoretic and Data-Driven Security Analysis in ML-enabled Medical Devices
Gargi Mitra, Mohammadreza Hallajiyan, Inji Kim, Athish Pranav Dharmalingam, Mohammed Elnawawy, Shahrear Iqbal, Karthik Pattabiraman, Homa Alemzadeh
https://arxiv.org/abs/2506.15028

Systems-Theoretic and Data-Driven Security Analysis in ML-enabled Medical Devices
The integration of AI/ML into medical devices is rapidly transforming healthcare by enhancing diagnostic and treatment facilities. However, this advancement also introduces serious cybersecurity risks due to the use of complex and often opaque models, extensive interconnectivity, interoperability with third-party peripheral devices, Internet connectivity, and vulnerabilities in the underlying technologies. These factors contribute to a broad attack surface and make threat prevention, detection,…

This https://arxiv.org/abs/2506.03612 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csDS_…

Connectivity-Preserving Minimum Separator in AT-free Graphs
Let $A$ and $B$ be disjoint, non-adjacent vertex-sets in an undirected, connected graph $G$, whose vertices are associated with positive weights. We address the problem of identifying a minimum-weight subset of vertices $S\subseteq V(G)$ that, when removed, disconnects $A$ from $B$ while preserving the internal connectivity of both $A$ and $B$. We call such a subset of vertices a connectivity-preserving, or safe minimum $A,B$-separator. Deciding whether a safe $A,B$-separator exists is NP-hard …

Constellation as a Service: Tailored Connectivity Management in Direct-Satellite-to-Device Networks
Feng Wang, Shengyu Zhang, Een-Kee Hong, Tony Q. S. Quek
https://arxiv.org/abs/2507.00902

Constellation as a Service: Tailored Connectivity Management in Direct-Satellite-to-Device Networks
Direct-satellite-to-device (DS2D) communication is emerging as a promising solution for global mobile service extension, leveraging the deployment of satellite constellations. However, the challenge of managing DS2D connectivity for multi-constellations becomes outstanding, including high interference and frequent handovers caused by multi-coverage overlap and rapid satellite movement. Moreover, existing approaches primarily operate within single-constellation shell, which inherently limits the…

The minimum size of maximal bipartite IC-plane graphs with given connectivity
Guiping Wang, Yuanqiu Huang, Zhangdong Ouyang, Licheng Zhang
https://arxiv.org/abs/2506.00878

The minimum size of maximal bipartite IC-plane graphs with given connectivity
Recently, the problem of establishing bounds on the edge density of 1-planar graphs, including their subclass IC-planar graphs, has received considerable attention. In 2018, Angelini et al. showed that any n-vertex bipartite IC-planar graph has at most 2.25n-4 edges, which implies that bipartite IC-planar graphs have vertex-connectivity at most 4. In this paper, we prove that any n-vertex maximal bipartite IC-plane graph with connectivity 2 has at least 3/2n-2 edges, and those with connectivity…

Age Sensitive Hippocampal Functional Connectivity: New Insights from 3D CNNs and Saliency Mapping
Yifei Sun, Marshall A. Dalton, Robert D. Sanders, Yixuan Yuan, Xiang Li, Sharon L. Naismith, Fernando Calamante, Jinglei Lv
https://arxiv.org/abs/2507.01411

Age Sensitive Hippocampal Functional Connectivity: New Insights from 3D CNNs and Saliency Mapping
Grey matter loss in the hippocampus is a hallmark of neurobiological aging, yet understanding the corresponding changes in its functional connectivity remains limited. Seed-based functional connectivity (FC) analysis enables voxel-wise mapping of the hippocampus's synchronous activity with cortical regions, offering a window into functional reorganization during aging. In this study, we develop an interpretable deep learning framework to predict brain age from hippocampal FC using a three-dimen…

Joint Activity Detection and Channel Estimation for Massive Connectivity: Where Message Passing Meets Score-Based Generative Priors
Chang Cai, Wenjun Jiang, Xiaojun Yuan, Ying-Jun Angela Zhang
https://arxiv.org/abs/2506.00581

Joint Activity Detection and Channel Estimation for Massive Connectivity: Where Message Passing Meets Score-Based Generative Priors
Massive connectivity supports the sporadic access of a vast number of devices without requiring prior permission from the base station (BS). In such scenarios, the BS must perform joint activity detection and channel estimation (JADCE) prior to data reception. Message passing algorithms have emerged as a prominent solution for JADCE under a Bayesian inference framework. The existing message passing algorithms, however, typically rely on some hand-crafted and overly simplistic priors of the wire…

Building Automotive Security on Internet Standards: An Integration of DNSSEC, DANE, and DANCE to Authenticate and Authorize In-Car Services
Timo Salomon, Mehmet Mueller, Philipp Meyer, Thomas C. Schmidt
https://arxiv.org/abs/2506.13261

Building Automotive Security on Internet Standards: An Integration of DNSSEC, DANE, and DANCE to Authenticate and Authorize In-Car Services
The automotive industry is undergoing a software-as-a-service transformation that enables software-defined functions and post-sale updates via cloud and vehicle-to-everything communication. Connectivity in cars introduces significant security challenges, as remote attacks on vehicles have become increasingly prevalent. Current automotive designs call for security solutions that address the entire lifetime of a vehicle. In this paper, we propose to authenticate and authorize in-vehicle services …

Near-Optimal Vertex Fault-Tolerant Labels for Steiner Connectivity
Koustav Bhanja, Asaf Petruschka
https://arxiv.org/abs/2506.23215 https://

Near-Optimal Vertex Fault-Tolerant Labels for Steiner Connectivity
We present a compact labeling scheme for determining whether a designated set of terminals in a graph remains connected after any $f$ (or less) vertex failures occur. An $f$-FT Steiner connectivity labeling scheme for an $n$-vertex graph $G=(V,E)$ with terminal set $U \subseteq V$ provides labels to the vertices of $G$, such that given only the labels of any subset $F \subseteq V$ with $|F| \leq f$, one can determine if $U$ remains connected in $G-F$. The main complexity measure is th…

Mixed Traffic: A Perspective from Long Duration Autonomy
Filippos Tzortzoglou, Logan E. Beaver
https://arxiv.org/abs/2506.15004 https://

Mixed Traffic: A Perspective from Long Duration Autonomy
The rapid adoption of autonomous vehicle has established mixed traffic environments, comprising both autonomous and human-driven vehicles (HDVs), as essential components of next-generation mobility systems. Along these lines, connectivity between autonomous vehicles and infrastructure (V2I) is also a significant factor that can effectively support higher-level decision-making. At the same time, the integration of V2I within mixed traffic environments remains a timely and challenging problem. In…

Network structural change point detection and reconstruction for balanced neuronal networks
Kai Chen, Mingzhang Wang, Songting Li, Douglas Zhou
https://arxiv.org/abs/2507.02450

Network structural change point detection and reconstruction for balanced neuronal networks
Understanding brain dynamics and functions critically depends on knowledge of the network connectivity among neurons. However, the complexity of brain structural connectivity, coupled with continuous modifications driven by synaptic plasticity, makes its direct experimental measurement particularly challenging. Conventional connectivity inference methods based on neuronal recordings often assumes a static underlying structural connectivity and requires stable statistical features of neural acti…

Photonic Rails in ML Datacenters
Eric Ding, Chuhan Ouyang, Rachee Singh
https://arxiv.org/abs/2507.08119 https://arxiv.org/pdf/2507.0…

Photonic Rails in ML Datacenters
Rail-optimized network fabrics have become the de facto datacenter scale-out fabric for large-scale ML training. However, the use of high-radix electrical switches to provide all-to-all connectivity in rails imposes massive power, cost, and complexity overheads. We propose a rethinking of the rail abstraction by retaining its communication semantics, but realizing it using optical circuit switches. The key challenge is that optical switches support only one-to-one connectivity at a time, limiti…

Out-of-Band Modality Synergy Based Multi-User Beam Prediction and Proactive BS Selection with Zero Pilot Overhead
Kehui Li, Binggui Zhou, Jiajia Guo, Feifei Gao, Guanghua Yang, Shaodan Ma
https://arxiv.org/abs/2506.15136

Out-of-Band Modality Synergy Based Multi-User Beam Prediction and Proactive BS Selection with Zero Pilot Overhead
Multi-user millimeter-wave communication relies on narrow beams and dense cell deployments to ensure reliable connectivity. However, tracking optimal beams for multiple mobile users across multiple base stations (BSs) results in significant signaling overhead. Recent works have explored the capability of out-of-band (OOB) modalities in obtaining spatial characteristics of wireless channels and reducing pilot overhead in single-BS single-user/multi-user systems. However, applying OOB modalities …

Building Automotive Security on Internet Standards: An Integration of DNSSEC, DANE, and DANCE to Authenticate and Authorize In-Car Services
Timo Salomon, Mehmet Mueller, Philipp Meyer, Thomas C. Schmidt
https://arxiv.org/abs/2506.13261

Building Automotive Security on Internet Standards: An Integration of DNSSEC, DANE, and DANCE to Authenticate and Authorize In-Car Services
The automotive industry is undergoing a software-as-a-service transformation that enables software-defined functions and post-sale updates via cloud and vehicle-to-everything communication. Connectivity in cars introduces significant security challenges, as remote attacks on vehicles have become increasingly prevalent. Current automotive designs call for security solutions that address the entire lifetime of a vehicle. In this paper, we propose to authenticate and authorize in-vehicle services …

Bicriteria approximation for $k$-edge-connectivity
Zeev Nutov, Reut Cohen
https://arxiv.org/abs/2507.03786 https://arxiv.org/pdf/2507…

Bicriteria approximation for $k$-edge-connectivity
In the $k$-Edge Connected Spanning Subgraph ($k$-ECSS) problem we are given a (multi-)graph $G=(V,E)$ with edge costs and an integer $k$, and seek a min-cost $k$-edge-connected spanning subgraph of $G$. The problem admits a $2$-approximation algorithm and no better approximation ratio is known. Recently, Hershkowitz, Klein, and Zenklusen [STOC 24] gave a bicriteria $(1,k-10)$-approximation algorithm that computes a $(k-10)$-edge-connected spanning subgraph of cost at most the optimal value of a…

State Space Models Naturally Produce Traveling Waves, Time Cells, and Scale to Abstract Cognitive Functions
Sen Lu, Xiaoyu Zhang, Mingtao Hu, Eric Yeu-Jer Lee, Soohyeon Kim, Wei D. Lu
https://arxiv.org/abs/2507.13638

State Space Models Naturally Produce Traveling Waves, Time Cells, and Scale to Abstract Cognitive Functions
A grand challenge in modern neuroscience is to bridge the gap between the detailed mapping of microscale neural circuits and a mechanistic understanding of cognitive functions. While extensive knowledge exists about neuronal connectivity and biophysics, a significant gap remains in how these elements combine to produce flexible, learned behaviors. Here, we propose that a framework based on State-Space Models (SSMs), an emerging class of deep learning architectures, can bridge this gap. We argue…

From Connectivity to Autonomy: The Dawn of Self-Evolving Communication Systems
Zeinab Nezami, Syed Danial Ali Shah, Maryam Hafeez, Karim Djemame, Syed Ali Raza Zaidi
https://arxiv.org/abs/2505.23710

From Connectivity to Autonomy: The Dawn of Self-Evolving Communication Systems
This paper envisions 6G as a self-evolving telecom ecosystem, where AI-driven intelligence enables dynamic adaptation beyond static connectivity. We explore the key enablers of autonomous communication systems, spanning reconfigurable infrastructure, adaptive middleware, and intelligent network functions, alongside multi-agent collaboration for distributed decision-making. We explore how these methodologies align with emerging industrial IoT frameworks, ensuring seamless integration within digi…

Tunable Hybrid-Mode Coupler Enabling Strong Interactions between Transmons at Centimeter-Scale Distance
Jianwen Xu, Xiang Deng, Wen Zheng, Wenchang Yan, Tao Zhang, Zhenchuan Zhang, Wanli Huang, Xiaoyu Xia, Xudong Liao, Yu Zhang, Jie Zhao, Shaoxiong Li, Xinsheng Tan, Dong Lan, Yang Yu
https://arxiv.org/abs/2506.14128

Tunable Hybrid-Mode Coupler Enabling Strong Interactions between Transmons at Centimeter-Scale Distance
The transmon, a fabrication-friendly superconducting qubit, remains a leading candidate for scalable quantum computing. Recent advances in tunable couplers have accelerated progress toward high-performance quantum processors. However, extending coherent interactions beyond millimeter scales to enhance quantum connectivity presents a critical challenge. Here, we introduce a hybrid-mode coupler exploiting resonator-transmon hybridization to simultaneously engineer the two lowest-frequency mode, e…

Beyond Connectivity: An Open Architecture for AI-RAN Convergence in 6G
Michele Polese, Niloofar Mohamadi, Salvatore D'Oro, Tommaso Melodia
https://arxiv.org/abs/2507.06911

Beyond Connectivity: An Open Architecture for AI-RAN Convergence in 6G
The proliferation of data-intensive Artificial Intelligence (AI) applications at the network edge demands a fundamental shift in RAN design, from merely consuming AI for network optimization, to actively enabling distributed AI workloads. This paradigm shift presents a significant opportunity for network operators to monetize AI at the edge while leveraging existing infrastructure investments. To realize this vision, this article presents a novel converged O-RAN and AI-RAN architecture that uni…

Replaced article(s) found for eess.SP. https://arxiv.org/list/eess.SP/new
[1/1]:
- Trajectory Optimization for Cellular-Enabled UAV with Connectivity and Battery Constraints
Hyeon-Seong Im, Kyu-Yeong Kim, Si-Hyeon Lee

DTHA: A Digital Twin-Assisted Handover Authentication Scheme for 5G and Beyond
Guanjie Li, Tom H. Luan, Chengzhe Lai, Jinkai Zheng, Rongxing Lu
https://arxiv.org/abs/2506.11669

DTHA: A Digital Twin-Assisted Handover Authentication Scheme for 5G and Beyond
With the rapid development and extensive deployment of the fifth-generation wireless system (5G), it has achieved ubiquitous high-speed connectivity and improved overall communication performance. Additionally, as one of the promising technologies for integration beyond 5G, digital twin in cyberspace can interact with the core network, transmit essential information, and further enhance the wireless communication quality of the corresponding mobile device (MD). However, the utilization of milli…

Optimizing Connectivity and Scheduling of Near/Far Field Users in Massive MIMO NOMA System
Ziad Qais Al-Abbasi
https://arxiv.org/abs/2505.23259 https://

Optimizing Connectivity and Scheduling of Near/Far Field Users in Massive MIMO NOMA System
It is envisioned that the next generations of wireless communication environment will be characterized with dense traffic demand due to the prediction that there will be large numbers of active users. Hence, it is important to find a solution to deal with such dense numbers of users. This paper investigates optimizing the connectivity and users scheduling to improve the performance of near and far field users in a downlink, multiuser, massive MIMO-NOMA system. For the considered system model, c…

Autonomous Vision-Aided UAV Positioning for Obstacle-Aware Wireless Connectivity
Kamran Shafafi, Manuel Ricardo, Rui Campos
https://arxiv.org/abs/2506.23190

Autonomous Vision-Aided UAV Positioning for Obstacle-Aware Wireless Connectivity
Unmanned Aerial Vehicles (UAVs) offer a promising solution for enhancing wireless connectivity and Quality of Service (QoS) in urban environments, acting as aerial Wi-Fi access points or cellular base stations. Their flexibility and rapid deployment capabilities make them suitable for addressing infrastructure gaps and traffic surges. However, optimizing UAV positions to maintain Line of Sight (LoS) links with ground User Equipment (UEs) remains challenging in obstacle-dense urban scenarios. Th…