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Flooded disused coalmines could be a significant source of energy and provide cheap heat to thousands of homes, a new report argues.
Mine water geothermal heat (MWGH) systems use the water in flooded coalmines,
which is warmed by natural processes,
to supply low-carbon heat.
Heat exchangers and pumps recover the heat,
which is distributed via district heating networks to homes and buildings,
providing low-cost, long-term, stable energy.

@netzschleuder@social.skewed.de
2025-12-06 08:00:04

reality_mining: Reality mining proximity network (2004)
A network of human proximities among students at Massachusetts Institute of Technology (MIT), as measured by personal mobile phones. Nodes represent people (students from the Media Lab and the Sloan Business School) and an edge connects a pair if the two devices made a Bluetooth handshake at the time. Edges are timestamped.
This network has 96 nodes and 1086404 edges.
Tags: Social, Offline, Unweighted, Timestamps

reality_mining: Reality mining proximity network (2004). 96 nodes, 1086404 edges. https://networks.skewed.de/net/reality_mining

Flock Surveillance
refers to the camera and data systems developed by Flock Safety,
-- a private technology company that provides automated license plate recognition  and
vehicle-tracking networks to
police departments, homeowners’ associations, and private businesses across the U.S.
🔥This system enables mass tracking of drivers and data sharing across police and private networks
without sufficient oversight,
raising serious concerns about privacy, …

@karlauerbach@sfba.social
2025-10-04 14:30:57

Overall the media consolidation described below is beyond four alarm fire levels.
E. Musk is dangerous to society, but Musk acts like an addled kid who read too much bad Sci-fi. Ellison doesn't have those positive qualities - he is much like the killer car, Christine, in the Steven King novel.
My first experience with Ellison's Oracle was back around 1980 or '81 when Oracle people came to our company and more than asked, they ordered us, to make sure that their produ…

@arXiv_eessSY_bot@mastoxiv.page
2025-10-06 09:12:19

A Bilevel Optimization Framework for Adversarial Control of Gas Pipeline Operations
Tejaswini Sanjay Katale, Lu Gao, Yunpeng Zhang, Alaa Senouci
arxiv.org/abs/2510.02503

@netzschleuder@social.skewed.de
2025-10-04 15:00:06

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

slashdot_zoo: Slashdot Zoo friend-foe network (2009). 79120 nodes, 515397 edges. https://networks.skewed.de/net/slashdot_zoo
@netzschleuder@social.skewed.de
2025-10-04 13:00:06

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

slashdot_zoo: Slashdot Zoo friend-foe network (2009). 79120 nodes, 515397 edges. https://networks.skewed.de/net/slashdot_zoo

Netflix will buy some of Warner Bros. Discovery’s most valuable media portfolio for nearly $83 billion in a cash-stock deal, the two companies said Friday.

The streaming giant will acquire some of WBD’s most valuable media properties,
including its film and TV studio,
HBO and HBO Max.
WBD’s cable networks, including the news giant CNN, are to be spun off in advance of the deal.
-- That plan was announced in June.
Two other companies
— Comcast and Pa…

@Techmeme@techhub.social
2025-09-14 13:55:35

A look at Starlink's plans to launch a cellphone service that some experts say will likely remain complementary to existing networks, focusing on rural coverage (Washington Post)

@arXiv_quantph_bot@mastoxiv.page
2025-09-25 09:45:32

InterQnet: A Heterogeneous Full-Stack Approach to Co-designing Scalable Quantum Networks
Joaquin Chung, Daniel Dilley, Ely Eastman, Alvin Gonzales, Kara Hokenstad, Md Shariful Islam, Varun Jorapur, Joseph Petrullo, Andy C. Y. Li, Bikun Li, Vasileios Niaouris, Anirudh Ramesh, Ansh Singal, Caitao Zhan, Michael Bishof, Eric Chitambar, Jacob P. Covey, Alan Dibos, Xu Han, Liang Jiang, Prem Kumar, Jeffrey Larson, Zain H. Saleem, Rajkumar Kettimuthu

@arXiv_csNI_bot@mastoxiv.page
2025-09-30 11:23:41

Flexible and High-Performance Radio Access Networks for upcoming Sixth-Generation (6G) Systems
Peter Schefczik, Umar Toseef, Paolo Baracca, Ralf Klotsche, Torsten Dudda, Mai-Anh Phan, Lorenzo Miretti, David Ginthoer, Bin Han
arxiv.org/abs/2509.24417

@netzschleuder@social.skewed.de
2025-10-03 06:00:06

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

slashdot_zoo: Slashdot Zoo friend-foe network (2009). 79120 nodes, 515397 edges. https://networks.skewed.de/net/slashdot_zoo
@arXiv_physicssocph_bot@mastoxiv.page
2025-09-22 09:38:21

Uncovering multi-technology convergence patterns with hypergraphs: Evolution and prediction using patent data
Yiwei Huang, Shuqi Xu, Shimin Cai, Linyuan L\"u
arxiv.org/abs/2509.15521

@arXiv_eessSP_bot@mastoxiv.page
2025-10-01 10:31:47

Transmitter-Side Beyond-Diagonal RIS-Enabled Integrated Sensing and Communications
Kexin Chen, Yijie Mao, Wonjae Shin
arxiv.org/abs/2509.26333

@inthehands@hachyderm.io
2025-09-20 17:20:58

The excellent @… (erinkissane.com) has written a lot about the idea of “governance” in tech: the human networks and processes that surround the things that we build. Erin has proposed — and I agree, though I long failed to see it! — that governance is the gaping hole in the way we build OSS, shared infra, and the whole technology commons.
3/

@relcfp@mastodon.social
2025-10-16 23:42:08

CFP: American Academy of Religion, Western Region 2026 Conference: Religion, Technology, and Innovation networks.h-net.org/group/annou

@arXiv_eessSY_bot@mastoxiv.page
2025-09-26 09:19:11

Revealing Chaotic Dependence and Degree-Structure Mechanisms in Optimal Pinning Control of Complex Networks
Qingyang Liu (University of Science and Technology of China), Tianlong Fan (University of Science and Technology of China), Liming Pan (University of Science and Technology of China), Linyuan Lv (University of Science and Technology of China)

@arXiv_csIT_bot@mastoxiv.page
2025-09-29 08:41:47

UAV-Enabled Fluid Antenna Systems for Multi-Target Wireless Sensing over LAWCNs
Xuhui Zhang, Wenchao Liu, Chunjie Wang, Jinke Ren, Huijun Xing, Shuqiang Wang, Yanyan Shen
arxiv.org/abs/2509.22497

@arXiv_physicschemph_bot@mastoxiv.page
2025-09-26 08:01:01

Numerically exact quantum dynamics with tensor networks: Predicting the decoherence of interacting spin systems
Tianchu Li, Pranay Venkatesh, Nanako Shitara, Andr\'es Montoya-Castillo
arxiv.org/abs/2509.20604

@netzschleuder@social.skewed.de
2025-11-01 03:00:07

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

slashdot_zoo: Slashdot Zoo friend-foe network (2009). 79120 nodes, 515397 edges. https://networks.skewed.de/net/slashdot_zoo
@arXiv_csDC_bot@mastoxiv.page
2025-09-25 07:32:22

Investigating Sharding Advancements, Methodologies, and Adoption Potential in Hedera
Ziwei Wang, Cong Wu, Paolo Tasca
arxiv.org/abs/2509.19478

@arXiv_csET_bot@mastoxiv.page
2025-09-19 07:34:21

Design-Space Exploration of Distributed Neural Networks in Low-Power Wearable Nodes
Meghna Roy Chowdhury, Ming-che Li, Archisman Ghosh, Md Faizul Bari, Shreyas Sen
arxiv.org/abs/2509.14540

@netzschleuder@social.skewed.de
2025-11-02 09:00:03

reality_mining: Reality mining proximity network (2004)
A network of human proximities among students at Massachusetts Institute of Technology (MIT), as measured by personal mobile phones. Nodes represent people (students from the Media Lab and the Sloan Business School) and an edge connects a pair if the two devices made a Bluetooth handshake at the time. Edges are timestamped.
This network has 96 nodes and 1086404 edges.
Tags: Social, Offline, Unweighted, Timestamps

reality_mining: Reality mining proximity network (2004). 96 nodes, 1086404 edges. https://networks.skewed.de/net/reality_mining
@arXiv_csNI_bot@mastoxiv.page
2025-09-16 10:15:06

CAR-BRAINet: Sub-6GHz Aided Spatial Adaptive Beam Prediction with Multi Head Attention for Heterogeneous Vehicular Networks
Aathira G Menon (Department of Electronics and Communication Engineering, National Institute of Technology Karnataka), Prabu Krishnan (Department of Electronics and Communication Engineering, National Institute of Technology Karnataka), Shyam Lal (Department of Electronics and Communication Engineering, National Institute of Technology Karnataka)

@arXiv_qbioNC_bot@mastoxiv.page
2025-09-16 08:54:57

On a Geometry of Interbrain Networks
Nicol\'as Hinrichs (Embodied Cognitive Science Unit, Okinawa Institute of Science and Technology, Okinawa, Japan, Research Group Cognition and Plasticity, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany), Noah Guzm\'an (Independent scholar), Melanie Weber (School of Engineering and Applied Sciences, Harvard University, Cambridge, MA, United States)

@arXiv_eessSP_bot@mastoxiv.page
2025-09-30 10:59:31

N78 Frequency Band Modular RIS Design and Implementation
Sefa Kayrakl{\i}k, Recep Ba\c{s}, Hasan O\u{g}uzhan \c{C}al{\i}\c{s}kan, Samed \c{S}ahino\u{g}lu, Sercan Erdo\u{g}an, \.Ilhami \"Unal, \.Ibrahim H\"okelek, K{\i}van\c{c} Nurdan, Ali G\"or\c{c}in
arxiv.org/abs/2509.24355

@arXiv_physicssocph_bot@mastoxiv.page
2025-10-01 08:04:57

A smart city model for an intelligent traffic light decision system
Darko Pajkovski, Marija Apostoloska Kondoska, Hristina Dimova Popovska
arxiv.org/abs/2509.25254

@arXiv_csCY_bot@mastoxiv.page
2025-09-16 09:24:17

SCOR: A Framework for Responsible AI Innovation in Digital Ecosystems
Mohammad Saleh Torkestani, Taha Mansouri
arxiv.org/abs/2509.10653 arx…

@arXiv_condmatdisnn_bot@mastoxiv.page
2025-09-22 08:04:01

Unsupervised and probabilistic learning with Contrastive Local Learning Networks: The Restricted Kirchhoff Machine
Marcelo Guzman, Simone Ciarella, Andrea J. Liu
arxiv.org/abs/2509.15842

@arXiv_csNI_bot@mastoxiv.page
2025-09-17 08:13:09

Digital Twin-Assisted Resilient Planning for mmWave IAB Networks via Graph Attention Networks
Jie Zhang, Mostafa Rahmani Ghourtani, Swarna Bindu Chetty, Paul Daniel Mitchell, Hamed Ahmadi
arxiv.org/abs/2509.12499

@netzschleuder@social.skewed.de
2025-11-27 16:00:06

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

slashdot_zoo: Slashdot Zoo friend-foe network (2009). 79120 nodes, 515397 edges. https://networks.skewed.de/net/slashdot_zoo
@arXiv_eessIV_bot@mastoxiv.page
2025-09-12 08:35:49

In-Loop Filtering Using Learned Look-Up Tables for Video Coding
Zhuoyuan Li, Jiacheng Li, Yao Li, Jialin Li, Li Li, Dong Liu, Feng Wu
arxiv.org/abs/2509.09494

The announcement this week that Elon Musk’s SpaceX is purchasing
$17 billion in wireless spectrum
has sent jitters through an industry now eyeing the prospect of
Elon-style disruptions to a market
long dominated by Verizon, AT&T and T-Mobile.
The new bandwidth is destined for use by SpaceX’s satellite service, Starlink.

@arXiv_eessSY_bot@mastoxiv.page
2025-09-19 08:17:41

Secure Short-Packet Communications for RIS-Assisted AAV Networks
Huiling Liu, Junshan Luo, Shilian Wang, Fanggang Wang, Theodoros A. Tsiftsis, Symeon Chatzinotas
arxiv.org/abs/2509.14705

@arXiv_quantph_bot@mastoxiv.page
2025-09-19 10:17:41

Quantum router of silicon-vacancy centers via a diamond waveguide
Wen-Jie Zhang, Xi Yan, Jun-Hong An
arxiv.org/abs/2509.14793 arxiv.org/pdf…

@netzschleuder@social.skewed.de
2025-09-28 06:00:03

reality_mining: Reality mining proximity network (2004)
A network of human proximities among students at Massachusetts Institute of Technology (MIT), as measured by personal mobile phones. Nodes represent people (students from the Media Lab and the Sloan Business School) and an edge connects a pair if the two devices made a Bluetooth handshake at the time. Edges are timestamped.
This network has 96 nodes and 1086404 edges.
Tags: Social, Offline, Unweighted, Timestamps

reality_mining: Reality mining proximity network (2004). 96 nodes, 1086404 edges. https://networks.skewed.de/net/reality_mining
@arXiv_csNI_bot@mastoxiv.page
2025-10-01 10:03:58

Flexible-Sector 6DMA Base Station: Modeling and Design
Yunli Li, Xiaoming Shi, Xiaodan Shao, Jie Xu, Rui Zhang
arxiv.org/abs/2509.26086 arx…

@netzschleuder@social.skewed.de
2025-09-24 18:00:06

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

slashdot_zoo: Slashdot Zoo friend-foe network (2009). 79120 nodes, 515397 edges. https://networks.skewed.de/net/slashdot_zoo
@arXiv_csCY_bot@mastoxiv.page
2025-10-13 09:26:00

Challenges in designing ethical rules for Infrastructures in Internet of Vehicles
Razi Iqbal
arxiv.org/abs/2510.09374 arxiv.org/pdf/2510.09…

@arXiv_csNI_bot@mastoxiv.page
2025-10-14 09:48:58

Visible Light Communication for Vehicular Networks: A Tutorial
Pedro E. G\'oria Silva, Eduardo S. Lima, Jules M. Moualeu, Mohamed Korium, Pedro H. J. Nardelli
arxiv.org/abs/2510.11123

@arXiv_physicssocph_bot@mastoxiv.page
2025-09-10 08:45:51

Hybrid Galam--Bass Model for Technology Innovation
Giulia Rotundo, Roy Cerqueti, Gurjeet Dhesi, Claudiu Herteliu, Parmjit Kaur, Marcel Ausloos
arxiv.org/abs/2509.07275

@arXiv_csIT_bot@mastoxiv.page
2025-09-11 07:42:43

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
arxiv.org/abs/2509.08113

@arXiv_eessSP_bot@mastoxiv.page
2025-09-12 07:52:19

6G Resilience -- White Paper
Hirley Alves, Nurul H. Mahmood, Onel L. A. L\'opez, Sumudu Samarakoon, Seppo Yrj\"ol\"a, Matti Latva-Aho, Markku Juntti, Ari Pouttu, Armin Dekorsy, Arthur Sousa de Sena, Aydin Sezgin, Bho Matthiesen, Chafika Benzaid, Chathuranga Weeraddana, David Hutchison, Dileepa Marasinghe, Doganalp Ergenc, Eduard Jorswieck, Erkki Harjula, Falko Dressler, Harri Saarnisaari, Italo Atzeni, Jaap Van De Beek, Jacek Rak, Konstantin Mikhaylov, Lauri Loven, Madhus…

@arXiv_csET_bot@mastoxiv.page
2025-09-18 07:39:01

Analytical Modelling of the Transport in Analog Filamentary Conductive-Metal-Oxide/HfOx ReRAM Devices
Donato Francesco Falcone, Stephan Menzel, Tommaso Stecconi, Matteo Galetta, Antonio La Porta, Bert Jan Offrein, Valeria Bragaglia
arxiv.org/abs/2509.13964

@netzschleuder@social.skewed.de
2025-11-19 16:00:06

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

slashdot_zoo: Slashdot Zoo friend-foe network (2009). 79120 nodes, 515397 edges. https://networks.skewed.de/net/slashdot_zoo
@arXiv_eessSY_bot@mastoxiv.page
2025-09-23 11:46:20

RSU-Assisted Resource Allocation for Collaborative Perception
Guowei Liu, Le Liang, Chongtao Guo, Hao Ye, Shi Jin
arxiv.org/abs/2509.17691

@netzschleuder@social.skewed.de
2025-10-18 12:00:06

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

slashdot_zoo: Slashdot Zoo friend-foe network (2009). 79120 nodes, 515397 edges. https://networks.skewed.de/net/slashdot_zoo
@arXiv_eessSP_bot@mastoxiv.page
2025-10-09 08:45:31

Cooperative Multi-Static ISAC Networks: A Unified Design Framework for Active and Passive Sensing
Yan Yang, Zhendong Li, Jianwei Zhao, Qingqing Wu, Zhiqing Wei, Wen Chen, Weimin Jia
arxiv.org/abs/2510.06654

@netzschleuder@social.skewed.de
2025-11-16 23:00:06

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

slashdot_zoo: Slashdot Zoo friend-foe network (2009). 79120 nodes, 515397 edges. https://networks.skewed.de/net/slashdot_zoo
@netzschleuder@social.skewed.de
2025-11-20 08:00:03

reality_mining: Reality mining proximity network (2004)
A network of human proximities among students at Massachusetts Institute of Technology (MIT), as measured by personal mobile phones. Nodes represent people (students from the Media Lab and the Sloan Business School) and an edge connects a pair if the two devices made a Bluetooth handshake at the time. Edges are timestamped.
This network has 96 nodes and 1086404 edges.
Tags: Social, Offline, Unweighted, Timestamps

reality_mining: Reality mining proximity network (2004). 96 nodes, 1086404 edges. https://networks.skewed.de/net/reality_mining
@arXiv_eessSP_bot@mastoxiv.page
2025-09-19 09:54:01

Comparative Performance Analysis of Different Hybrid NOMA Schemes
Ning Wang, Chenyu Zhang, Yanshi Sun, Minghui Min, Shiyin Li
arxiv.org/abs/2509.14809

@netzschleuder@social.skewed.de
2025-09-19 12:00:04

reality_mining: Reality mining proximity network (2004)
A network of human proximities among students at Massachusetts Institute of Technology (MIT), as measured by personal mobile phones. Nodes represent people (students from the Media Lab and the Sloan Business School) and an edge connects a pair if the two devices made a Bluetooth handshake at the time. Edges are timestamped.
This network has 96 nodes and 1086404 edges.
Tags: Social, Offline, Unweighted, Timestamps

reality_mining: Reality mining proximity network (2004). 96 nodes, 1086404 edges. https://networks.skewed.de/net/reality_mining
@arXiv_csNI_bot@mastoxiv.page
2025-10-15 08:45:42

A Network Digital Twin of a 5G Private Network: Designing a Proof-of-Concept from Theory to Practice
Cristina Emilia Costa, Tatenda Horiro Zhou, Fabrizio Granelli
arxiv.org/abs/2510.12458

@netzschleuder@social.skewed.de
2025-10-13 04:00:06

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

slashdot_zoo: Slashdot Zoo friend-foe network (2009). 79120 nodes, 515397 edges. https://networks.skewed.de/net/slashdot_zoo
@arXiv_eessSP_bot@mastoxiv.page
2025-09-18 09:54:31

Distributed Deep Learning with RIS Grouping for Accurate Cascaded Channel Estimation
Saifur Rahman, Syed Luqman Shah, Salman Khan, Jalal Khan, Muhammad Irfan, Maaz Shafi, Said Muhammad, Fazal Muhammad, Mohammad Shahed Akond
arxiv.org/abs/2509.14062

@netzschleuder@social.skewed.de
2025-10-15 11:00:04

reality_mining: Reality mining proximity network (2004)
A network of human proximities among students at Massachusetts Institute of Technology (MIT), as measured by personal mobile phones. Nodes represent people (students from the Media Lab and the Sloan Business School) and an edge connects a pair if the two devices made a Bluetooth handshake at the time. Edges are timestamped.
This network has 96 nodes and 1086404 edges.
Tags: Social, Offline, Unweighted, Timestamps

reality_mining: Reality mining proximity network (2004). 96 nodes, 1086404 edges. https://networks.skewed.de/net/reality_mining
@arXiv_csNI_bot@mastoxiv.page
2025-09-10 09:24:01

Quantum Computing for Large-scale Network Optimization: Opportunities and Challenges
Sebastian Macaluso, Giovanni Geraci, El\'ias F. Combarro, Sergi Abadal, Ioannis Arapakis, Sofia Vallecorsa, Eduard Alarc\'on
arxiv.org/abs/2509.07773

@arXiv_eessSP_bot@mastoxiv.page
2025-10-15 08:32:01

Probabilistic Constellation Shaping for OFDM ISAC Signals Under Temporal-Frequency Filtering
Zhen Du, Jingjing Xu, Yifeng Xiong, Jie Wang, Musa Furkan Keskin, Henk Wymeersch, Fan Liu, Shi Jin
arxiv.org/abs/2510.12204

@arXiv_csNI_bot@mastoxiv.page
2025-09-16 10:32:07

Pair-Bid Auction Model for Optimized Network Slicing in 5G RAN
Mengyao Li, Sebastian Troia, Yingqian Zhang, Guido Maier
arxiv.org/abs/2509.10533

@arXiv_eessSP_bot@mastoxiv.page
2025-10-14 11:11:48

Navigating the Dual-Use Nature and Security Implications of Reconfigurable Intelligent Surfaces in Next-Generation Wireless Systems
Hetong Wang, Tiejun Lv, Yashuai Cao, Weicai Li, Jie Zeng, Pingmu Huang, Muhammad Khurram Khan
arxiv.org/abs/2510.11113

@netzschleuder@social.skewed.de
2025-11-11 03:00:05

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

slashdot_zoo: Slashdot Zoo friend-foe network (2009). 79120 nodes, 515397 edges. https://networks.skewed.de/net/slashdot_zoo
@arXiv_eessSP_bot@mastoxiv.page
2025-10-10 07:58:39

Flexible Intelligent Metasurface for Reconfiguring Radio Environments
Hanwen Hu, Jiancheng An, Lu Gan, Naofal Al-Dhahir
arxiv.org/abs/2510.07466