Tootfinder

from my link log —
Avoiding COVID with carrageenan nasal spray.
https://www.midwist.com/posts/2025/07/avoiding-covid-in-2025/
saved 2025-07-19

CFD Modelling and Sensitivity-Guided Design of Silicon Filament CVD Reactors
G. P. Gakis, G. Loacham\'in-Suntaxi, I. G. Aviziotis, E. D. Koronaki, P. P. Filippatos, G. Chatzigiannakis, S. P. A. Bordas, D. Davazoglou, A. G. Boudouvis
https://arxiv.org/abs/2506.18889

CFD Modelling and Sensitivity-Guided Design of Silicon Filament CVD Reactors
Filament-based chemical vapor deposition (CVD) for silicon (Si) coatings is often treated as a straightforward adaptation of planar deposition, just with a cylindrical substrate. But this overlooks a fundamental shift in how transport phenomena and reaction kinetics interact. In filament CVD, the filament is not just a substrate; it is the dominant heat source and flow disruptor all in one. In this work, we ask: What really governs Si film growth on filaments? Using a validated three-dimensiona…

SpiroLLM: Finetuning Pretrained LLMs to Understand Spirogram Time Series with Clinical Validation in COPD Reporting
Shuhao Mei, Yongchao Long, Shan Cao, Xiaobo Han, Shijia Geng, Jinbo Sun, Yuxi Zhou, Shenda Hong
https://arxiv.org/abs/2507.16145

SpiroLLM: Finetuning Pretrained LLMs to Understand Spirogram Time Series with Clinical Validation in COPD Reporting
Chronic Obstructive Pulmonary Disease (COPD), a major chronic respiratory disease with persistent airflow limitation, is a leading global cause of disability and mortality. Respiratory spirogram time series, routinely collected during pulmonary function tests (PFTs), play a critical role in the early detection of repsiratory diseases and in monitoring lung function over time. However, most current AI models for COPD diagnosis are limited to outputting classification results without providing a …

Approaching the great wall
(From a hike up a beautiful side valley in the Karwendel, September 2023)
#SilentSunday #LandscapePhotography #NaturePhotography

Enhancing Document Retrieval in COVID-19 Research: Leveraging Large Language Models for Hidden Relation Extraction
Hoang-An Trieu, Dinh-Truong Do, Chau Nguyen, Vu Tran, Minh Le Nguyen
https://arxiv.org/abs/2506.18311

Enhancing Document Retrieval in COVID-19 Research: Leveraging Large Language Models for Hidden Relation Extraction
In recent years, with the appearance of the COVID-19 pandemic, numerous publications relevant to this disease have been issued. Because of the massive volume of publications, an efficient retrieval system is necessary to provide researchers with useful information if an unexpected pandemic happens so suddenly, like COVID-19. In this work, we present a method to help the retrieval system, the Covrelex-SE system, to provide more high-quality search results. We exploited the power of the large lan…

House and Executive Branch Now Totally Derailed by Epstein (Josh Marshall/Talking Points Memo)
https://talkingpointsmemo.com/edblog/house-and-executive-branch-now-totally-derailed-by-epstein/sharetoken/cbd8360d-7791-4501-a1b5-7344b1a1f6f9
http://www.memeorandum.com/250723/p1#a250723p1

From Few to Many Emitters Cavity QED: Energy Levels and Emission Spectra From Weak to Deep-Strong Coupling
Andrea Zappal\'a, Alberto Mercurio, Daniele Lamberto, Samuel Napoli, Omar Di Stefano, Salvatore Savasta
https://arxiv.org/abs/2506.18763

From Few to Many Emitters Cavity QED: Energy Levels and Emission Spectra From Weak to Deep-Strong Coupling
We present a systematic study of the properties of systems composed of $N$ two-level quantum emitters coupled to a single cavity mode, for light-matter interaction strengths ranging from the weak to the ultrastrong and deep-strong coupling regimes. Beginning with an analysis of the energy spectrum as a function of the light-matter coupling strength, we examine systems with varying numbers of emitters, from a pair to large collections, approaching the thermodynamic limit ($N \to \infty$). Additi…

Interpreting CFD Surrogates through Sparse Autoencoders
Yeping Hu, Shusen Liu
https://arxiv.org/abs/2507.16069 https://arxiv.org/pdf/2507.16069

Interpreting CFD Surrogates through Sparse Autoencoders
Learning-based surrogate models have become a practical alternative to high-fidelity CFD solvers, but their latent representations remain opaque and hinder adoption in safety-critical or regulation-bound settings. This work introduces a posthoc interpretability framework for graph-based surrogate models used in computational fluid dynamics (CFD) by leveraging sparse autoencoders (SAEs). By obtaining an overcomplete basis in the node embedding space of a pretrained surrogate, the method extracts…

The canonical generalised Levi-Civita connection and its curvature
Vicente Cort\'es, Matas Mackevicius, Thomas Mohaupt, Oskar Schiller
https://arxiv.org/abs/2507.17604 https…

The canonical generalised Levi-Civita connection and its curvature
Given a (semi-Riemannian) generalised metric $\mathcal G$ and a divergence operator $\mathrm{div}$ on an exact Courant algebroid $E$, we geometrically construct a canonical generalised Levi-Civita connection $D^{\mathcal G, \mathrm{div}}$ for these data. In this way we provide a resolution of the problem of non-uniqueness of generalised Levi-Civita connections. Since the generalised Riemann tensor of $D^{\mathcal G, \mathrm{div}}$ is an invariant of the pair $(\mathcal G, \mathrm{div})$, we no …

#Radtour 003: Alt-Tegel - #Wildgehege - Berliner Forst Tegel - #Spielplatz (11 km)
Diese kleine Tour durch den