Tootfinder

Ex Situ Fabrication of Superconducting Nanostructures for Low-Temperature STM
Adrian Greichgauer, Roozbeh Yazdanpanah, Alexey Taskin, Oliver Breunig, Yoichi Ando, Jens Brede
https://arxiv.org/abs/2507.14092

Ex Situ Fabrication of Superconducting Nanostructures for Low-Temperature STM
Nanofabrication enables flexible experimental design but is often incompatible with scanning tunneling microscopy and spectroscopy (STM/STS) due to the latter's stringent surface quality requirements. Here, we present a fabrication strategy that combines ex situ nanolithography with in situ ultrahigh-vacuum (UHV) cleaving to produce atomically clean, nanopatterned superconductor/topological insulator (TI) heterostructures suitable for high-resolution STM/STS. In our initial Design I, nanoribbon…

🇺🇦 #NowPlaying on KEXP's #EasternEchoes
Vaundy:
🎵 踊り子 (Odoriko)
#Vaundy
https://m4v3r1cx.bandcamp.com/track/vaundy-odoriko-m4v3r1cx-cover
https://open.spotify.com/track/1YXot2MLAG9sttepCtBRM7

Just extend an invite for Palestine to participate. Everyone is a winner (probably Palestine 🇵🇸)
https://flipboard.com/@huffpostuk/entertainment-fg1pgso7z/-/a-yi3kitMkTGi7vqcmJV44Ng:a:878833414-/0

Germany's Broadcaster Responds To Reports They'll Leave Eurovision If Israel Is Banned
Israel's involvement in the Eurovision Song Contest continues to be a controversial issue. Germany’s national broadcaster has responded to claims that …

Maryland works to replace parking lots at train stations with dense housing & mixed use development.

Maryland announces $1.25 million in grants for development around rail stations
The announcement comes as Maryland is trying to double down on a bet that transit hubs can help turn the tide on climate and housing affordability issues.

Apparently I’ve heard the Thunderpuss mix of “It’s Not Right, But It’s Okay” by Whitney Houston so much that I thought it was the definitive version.
How wrong I was! https://youtu.be/Y9ZoD0wNsJM

Growing a Modular Framework for Modal Systems- HOLMS: a HOL Light Library
Antonella Bilotta
https://arxiv.org/abs/2506.10048 https://…

Growing a Modular Framework for Modal Systems- HOLMS: a HOL Light Library
The present dissertation introduces the research project on HOLMS (\textbf{HOL} Light Library for \textbf{M}odal \textbf{S}ystems), a growing modular framework for modal reasoning within the HOL Light proof assistant. To provide an accessible introduction to the library, the fundamentals of modal logic are outlined first, followed by a concise manual for the proof assistant itself. The core contribution of this work on HOLMS is the development of a unified and modular strategy for proving adequ…

ICU-TSB: A Benchmark for Temporal Patient Representation Learning for Unsupervised Stratification into Patient Cohorts
Dimitrios Proios, Alban Bornet, Anthony Yazdani, Jose F Rodrigues Jr, Douglas Teodoro
https://arxiv.org/abs/2506.06192

ICU-TSB: A Benchmark for Temporal Patient Representation Learning for Unsupervised Stratification into Patient Cohorts
Patient stratification identifying clinically meaningful subgroups is essential for advancing personalized medicine through improved diagnostics and treatment strategies. Electronic health records (EHRs), particularly those from intensive care units (ICUs), contain rich temporal clinical data that can be leveraged for this purpose. In this work, we introduce ICU-TSB (Temporal Stratification Benchmark), the first comprehensive benchmark for evaluating patient stratification based on temporal pat…

Der #Stadthafen von #Ueckermünde bei #Sonnenuntergang. Ausgehend von Ueckermünde kann man auch super

🇺🇦 #NowPlaying on #BBC6Music's #HuwStephens
Beck:
🎵 Girl
#Beck
https://sgvbriii.bandcamp.com/track/beck-girl-dreams-c-o-v-e-r
https://open.spotify.com/track/5EBBmDDyAsyotWMPkN59Zc

CTA: Cross-Task Alignment for Better Test Time Training
Samuel Barbeau, Pedram Fekri, David Osowiechi, Ali Bahri, Moslem YazdanpanahMasih Aminbeidokhti, Christian Desrosiers
https://arxiv.org/abs/2507.05221

CTA: Cross-Task Alignment for Better Test Time Training
Deep learning models have demonstrated exceptional performance across a wide range of computer vision tasks. However, their performance often degrades significantly when faced with distribution shifts, such as domain or dataset changes. Test-Time Training (TTT) has emerged as an effective method to enhance model robustness by incorporating an auxiliary unsupervised task during training and leveraging it for model updates at test time. In this work, we introduce CTA (Cross-Task Alignment), a nov…