Tootfinder

🇺🇦 #NowPlaying on KEXP's #Early
Jimena Ángel:
🎵 Selflove
#JimenaÁngel
https://jimenaangel.bandcamp.com/track/selflove
https://open.spotify.com/track/1fnaXMowPIKOMaAPC78MUv

Massive thanks to my colleague @… who did most of the work ..
#ClimateChange #SeaLevel #ClimateAdaptation

Multiscale modelling, analysis and simulation of cancer invasion mediated by bound and soluble enzymes
Mariya Ptashnyk, Chandrasekhar Venkataraman
https://arxiv.org/abs/2509.12413

Multiscale modelling, analysis and simulation of cancer invasion mediated by bound and soluble enzymes
We formulate a cell-scale model for the degradation of the extra-cellular matrix by membrane-bound and soluble matrix degrading enzymes produced by cancer cells. Based on the microscopic model and using tools from the theory of homogenisation we propose a macroscopic model for cancer cell invasion into the extra-cellular matrix mediated by bound and soluble matrix degrading enzymes. For suitable and biologically relevant initial data we prove the macroscopic model is well-posed. We propose a fi…

More performant and scalable: Rethinking contrastive vision-language pre-training of radiology in the LLM era
Yingtai Li, Haoran Lai, Xiaoqian Zhou, Shuai Ming, Wenxin Ma, Wei Wei, Shaohua Kevin Zhou
https://arxiv.org/abs/2509.13175

More performant and scalable: Rethinking contrastive vision-language pre-training of radiology in the LLM era
The emergence of Large Language Models (LLMs) presents unprecedented opportunities to revolutionize medical contrastive vision-language pre-training. In this paper, we show how LLMs can facilitate large-scale supervised pre-training, thereby advancing vision-language alignment. We begin by demonstrate that modern LLMs can automatically extract diagnostic labels from radiology reports with remarkable precision (>96\% AUC in our experiments) without complex prompt engineering, enabling the creati…

🔪 A scalpel that can diagnose? Scientists unveil a 'Lab-on-a-Scalpel' for real-time surgical insights
https://medicalxpress.com/news/2025-10-scalpel-scientists-unveil-lab-real.html

A scalpel that can diagnose? Scientists unveil a 'Lab-on-a-Scalpel' for real-time surgical insights
Imagine a surgeon in the middle of a complex operation, able to get instant biochemical feedback not from a lab down the hall, but from the very tool in their hand. This vision is now one step closer to reality thanks to researchers at the University of Chemistry and Technology, Prague (UCT Prague).

Designing the Hybrid Cooperative: A Socio-Technical Architecture for Scalable, Global Coordination Using Blockchain
Henrik Axelsen, Jan Damsgaard
https://arxiv.org/abs/2509.13156

Designing the Hybrid Cooperative: A Socio-Technical Architecture for Scalable, Global Coordination Using Blockchain
Blockchain has been promoted as a remedy for coordination in fragmented, multi-stakeholder ecosystems, yet many projects stall at pilot stage. Using a design-science approach, we develop the Hybrid Cooperative (HC), a digitally native governance architecture that combines smart-contract coordination with a minimal, code-deferent legal interface and jurisdictional modules. This selective decentralization decentralizes rules where programmability lowers agency and verification costs, and centrali…

Laminar: A Scalable Asynchronous RL Post-Training Framework
Guangming Sheng, Yuxuan Tong, Borui Wan, Wang Zhang, Chaobo Jia, Xibin Wu, Yuqi Wu, Xiang Li, Chi Zhang, Yanghua Peng, Haibin Lin, Xin Liu, Chuan Wu
https://arxiv.org/abs/2510.12633

Laminar: A Scalable Asynchronous RL Post-Training Framework
Reinforcement learning (RL) post-training for Large Language Models (LLMs) is now scaling to large clusters and running for extended durations to enhance model reasoning performance. However, the scalability of existing RL frameworks is limited, as extreme long-tail skewness in RL trajectory generation causes severe GPU underutilization. Current asynchronous RL systems attempt to mitigate this, but they rely on global weight synchronization between the actor and all rollouts, which creates a ri…

A Scalable Architecture for Efficient Multi-bit Fully Homomorphic Encryption
Jiaao Ma, Ceyu Xu, Lisa Wu Wills
https://arxiv.org/abs/2509.12676 https://arxi…

A Scalable Architecture for Efficient Multi-bit Fully Homomorphic Encryption
In the era of cloud computing, privacy-preserving computation offloading is crucial for safeguarding sensitive data. Fully Homomorphic Encryption (FHE) enables secure processing of encrypted data, but the inherent computational complexity of FHE operations introduces significant computational overhead on the server side. FHE schemes often face a tradeoff between efficiency and versatility. While the CKKS scheme is highly efficient for polynomial operations, it lacks the flexibility of the binar…

Die #Glasindustrie in der Rennsteigregion bekennt sich klar zum geplanten #Windpark mit 15 Anlagen.
HEINZ-GLAS und Wiegand-Glas betonen die Bedeutung erneuerbarer Energien für ihre energieintensive Produktion und die langfristige

Erneuerbare Energien: Glasindustrie bekennt sich zu Windpark am Rennsteig
Produktion von Parfüm-Flakons an der Heißstrecke im Glaswerk Piesau. Das Werk hat einen enormen Stromverbrauch.