Analyzing the Effect of an Extreme Weather Event on Telecommunications and Information Technology: Insights from 30 Days of Flooding
Leandro M\'arcio Bertholdo, Renan Barreto Paredes, Gabriela de Lima Marin, Cesar A. H. Loureiro, Milton Kaoru Kashiwakura Pedro de Botelho Marcos
https://arxiv.org/abs/2509.04219
A Novel IaaS Tax Model as Leverage Towards Green Cloud Computing
Benedikt Pittl, Werner Mach, Erich Schikuta
https://arxiv.org/abs/2509.02767 https://arxiv…
Digital quantum simulation of many-body systems: Making the most of intermediate-scale, noisy quantum computers
Alexander Miessen
https://arxiv.org/abs/2508.21504 https://
Next-Generation Sustainable Wireless Systems: Energy Efficiency Meets Environmental Impact
Christo Kurisummoottil Thomas, Omar Hashash, Kimia Ehsani, Walid Saad
https://arxiv.org/abs/2509.02395
China is racing ahead of the rest of the world in the adoption of robovans, despite limitations like slow speeds; Neolix has deployed 10,000 robovans so far (Wataru Suzuki/Nikkei Asia)
https://asia.nikkei.com/business/techn
Picture the human body. Zoom in on a single cell. It lives for a while, then splits or dies, as part of a community of cells that make up a particular tissue. This community lives together for many many cell-lifetimes, each performing their own favorite function and reproducing as much as necessary to maintain their community, consuming the essential resources they need and contributing back what they can so that the whole body can live for decades. Each community of cells is interdependent on the whole body, but also stable and sustainable over long periods of time.
Now imagine a cancer cell. It has lost its ability to harmonize with the whole and prioritize balance, instead consuming and reproducing as quickly as it can. As neighboring tissues start to die from its excess, it metastasizes, always spreading to new territory to fuel its unbalanced appetite. The inevitable result is death of the whole body, although through birth, that body can create a new fresh branch of tissues that may continue their stable existence free of cancer. Alternatively, radiation or chemotherapy might be able to kill off the cancer, at great cost to the other tissues, but permitting long-term survival.
To the cancer cell, the idea of decades-long survival of a tissue community is unbelievable. When your natural state is unbounded consumption, growth, and competition, the idea of interdependent cooperation (with tissues all around the body you're not even touching, no less) seems impossible, and the idea that a tissue might survive in a stable form for decades is ludicrous.
"Perhaps if conditions were bleak enough to perfectly balance incessant unrestrained growth against the depredations of a hostile environment it might be possible? I guess the past must have been horribly brutal, so that despite each tissue trying to grow as much as possible they each barely survived? Yes, a stable and sustainable population is probably only possible under conditions of perfectly extreme hardship, and in our current era of unfettered growth, we should rejoice that we live in much easier times!"
You can probably already see where I'm going with this metaphor, but did you know that there are human communities, alive today, that have been living sustainably for *tens, if not hundreds of thousands of years*?
#anarchy #colonialism #civilization
P.S. if you're someone who likes to think about past populations and historical population growth, I cannot recommend the (short, free) game Opera Omnia by Stephen Lavelle enough: https://www.increpare.com/2009/02/opera-omnia/
From Evaluation to Optimization: Neural Speech Assessment for Downstream Applications
Yu Tsao
https://arxiv.org/abs/2509.01889 https://arxiv.org/pdf/2509.0…
Dynamical Response of Deformable Microchannels under Pressure-Driven Flow of Aqueous Polymer Solutions
Sampad Laha, Siddhartha Mukherjee, Suman Chakraborty
https://arxiv.org/abs/2509.21343
Experimental measurement of quantum-first-passage-time distributions
Joseph M. Ryan, Simon Gorbaty, Thomas J. Kessler, Mitchell G. Peaks, Stephen W. Teitsworth, Crystal Noel
https://arxiv.org/abs/2508.21790
Sim2Field: End-to-End Development of AI RANs for 6G
Russell Ford, Hao Chen, Pranav Madadi, Mandar Kulkarni, Xiaochuan Ma, Daoud Burghal, Guanbo Chen, Yeqing Hu, Chance Tarver, Panagiotis Skrimponis, Vitali Loseu, Yu Zhang, Yan Xin, Yang Li, Jianzhong Zhang, Shubham Khunteta, Yeswanth Guddeti Reddy, Ashok Kumar Reddy Chavva, Mahantesh Kothiwale, Davide Villa
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