Tootfinder

This https://arxiv.org/abs/2501.01643 has been replaced.
initial toot: https://mastoxiv.page/@arX…

A Polarimetry-based Field-deployable Non-interruptive Mirror Soiling Detection Method
The soiling level of heliostat mirrors in Concentrated Solar Power (CSP) fields is one of the key factors that significantly influences optical efficiency. State-of-the-art methods of monitoring heliostats soiling levels still face various challenges, including slow speed, labor-intensive operations, resolution and accuracy constraints or interruptions to solar field operations. We present a rapid, cost-effective, and non-intrusive method for mirror soiling detection based on polarimetric imagi…

Our meetup was well-attended with two interesting talks:
📋 Sarah Julia Kriesch presented "Docker vs Podman" - a beginner-friendly introduction to container basics and key differences between these tools.
🔧 Philip Laine showcased "Spegel", an OCI Registry Mirror that leverages torrent technology for efficient container image distribution - saving traffic costs and safeguarding against registry outages.
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"Dans la voix, la langue résiste Š la littérature. Par cette manière de retourner la table du sens, la voix déploie tout ce qu’elle ne peut pas et l’offre négativement Š qui sait l’entendre. Avec l’incertitude de l’onde sonore qui se fracasse."
🔗 https://abrupt.cc/charles-pennequin/ra

Selenskyj definiert Schwerpunkte der Verhandlungen
Der ukrainische Präsident Wolodymyr Selenskyj hat die Verhandlungsbereitschaft seines Landes unterstrichen. "Wir sind bereit, die nötigen Schritte für den Frieden zu unternehmen", sagte er während eines Besuchs in Litauen. Als "Ausgangspunkt" für eine Einigung nannte Selenskyj eine Waffenruhe sowie "humanitäre Maßnahmen", die Befreiung von Kriegsgef…
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How important is the dielectric constant in water modeling? Evaluation of the performance of the TIP4P/$\varepsilon$ force field and its compatibility with the Joung-Cheetham NaCl model
{\L}ukasz Baran, Cosmin A. Dicu-Gohoreanu, Luis G. MacDowell
https://arxiv.org/abs/2506.00153

How important is the dielectric constant in water modeling? Evaluation of the performance of the TIP4P/$\varepsilon$ force field and its compatibility with the Joung-Cheetham NaCl model
Efficient large scale computer simulations of complex aqueous solutions require the use of accurate but simple empirical force fields for water. However, the growing complexity of these systems is evidencing the difficulties to describe solution properties without due account of polarization. Conflicting strategies to remedy this problem are parametrizing water force fields to the dielectric constant or charge scaling of the solvated ions. In this work we compare results from TIP4P/$\varepsil…

A highly sensitive SF$_6$-based leak test system for JUNO 3-inch PMT underwater electronics boxes
Ziliang Chu, Diru Wu, Miao He, Jilei Xu, Xiaoping Jing, Jian Wang
https://arxiv.org/abs/2505.24142

A highly sensitive SF$_6$-based leak test system for JUNO 3-inch PMT underwater electronics boxes
A total of 25600 3-inch photomultiplier tubes (PMTs), along with their corresponding frontend electronics, have been installed at the Jiangmen Underground Neutrino Observatory (JUNO). These electronics are housed in 200 stainless steel boxes that operate underwater. To verify the sealing integrity of the underwater boxes following integration, we developed an SF$_6$-based leak test system, opting against the typical helium-based system due to helium's ability to penetrate the PMT glass. After a…

PathGene: Benchmarking Driver Gene Mutations and Exon Prediction Using Multicenter Lung Cancer Histopathology Image Dataset
Liangrui Pan, Qingchun Liang, Shen Zhao, Songqing Fan, Shaoliang Peng
https://arxiv.org/abs/2506.00096

PathGene: Benchmarking Driver Gene Mutations and Exon Prediction Using Multicenter Lung Cancer Histopathology Image Dataset
Accurately predicting gene mutations, mutation subtypes and their exons in lung cancer is critical for personalized treatment planning and prognostic assessment. Faced with regional disparities in medical resources and the high cost of genomic assays, using artificial intelligence to infer these mutations and exon variants from routine histopathology images could greatly facilitate precision therapy. Although some prior studies have shown that deep learning can accelerate the prediction of key …