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🇺🇦 #NowPlaying on BBCRadio3's #OperaOn3
Umberto Giordano, Sonya Yoncheva, Piotr Beczala, Igor Golovatenko, Siphokazi Molteno, Olesya Petrova, Brenton Ryan, Guriy Gurev, Maurizio Muraro, Nancy Fabiola Herrera, Alexander Birch Elliott, Tony Stevenson, Christopher Job, Jeongcheol Cha, Richard Bernstein, Ben Strong, New York Metropolitan Opera Orchestra, New York Metropolitan Opera Chorus & Daniele Rustioni:
🎵 Andrea Chenier: Act 2

On the construction of Hadamard states from Feynman propagators
Christopher J. Fewster, Alexander Strohmaier
https://arxiv.org/abs/2510.11492 https://arxiv…

On the construction of Hadamard states from Feynman propagators
The Wightman two-point function of any Hadamard state of a linear quantum field theory determines a corresponding Feynman propagator. Conversely, however, a Feynman propagator determines a state only if certain positivity conditions are fulfilled. We point out that the construction of a state from a Feynman propagator involves a slightly subtle point that we address and resolve. Starting from a recent generalisation of the Duistermaat-Hörmander theory of distinguished parametrices to normally …

Influence of coronary plaque morphology on local mechanical states and associated in-stent restenosis
Janina C. Datz, Ivo Steinbrecher, Johannes Krefting, Leif-Christopher Engel, Alexander Popp, Martin R. Pfaller, Heribert Schunkert, Wolfgang A. Wall
https://arxiv.org/abs/2510.10763

Influence of coronary plaque morphology on local mechanical states and associated in-stent restenosis
In-stent restenosis after percutaneous coronary intervention is a multifactorial process. Specific morphological lesion characteristics were observed to contribute to the occurrence of in-stent restenosis. Local mechanical factors, such as stresses and strains, are known to influence tissue adaptation after stent implantation. However, the influence of morphological features on those local mechanical states and, hence, on the occurrence of in-stent restenosis remains understudied. This work inv…

A Design-based Solution for Causal Inference with Text: Can a Language Model Be Too Large?
Graham Tierney, Srikar Katta, Christopher Bail, Sunshine Hillygus, Alexander Volfovsky
https://arxiv.org/abs/2510.08758

A Design-based Solution for Causal Inference with Text: Can a Language Model Be Too Large?
Many social science questions ask how linguistic properties causally affect an audience's attitudes and behaviors. Because text properties are often interlinked (e.g., angry reviews use profane language), we must control for possible latent confounding to isolate causal effects. Recent literature proposes adapting large language models (LLMs) to learn latent representations of text that successfully predict both treatment and the outcome. However, because the treatment is a component of the tex…

🇺🇦 #NowPlaying on BBCRadio3's #OperaOn3
Umberto Giordano, Sonya Yoncheva, Piotr Beczala, Igor Golovatenko, Siphokazi Molteno, Olesya Petrova, Brenton Ryan, Guriy Gurev, Maurizio Muraro, Nancy Fabiola Herrera, Alexander Birch Elliott, Tony Stevenson, Christopher Job, Jeongcheol Cha, Richard Bernstein, Ben Strong, New York Metropolitan Opera Chorus, New York Metropolitan Opera Orchestra & Daniele Rustioni:
🎵 Andrea Chenier: Act 4

🇺🇦 #NowPlaying on BBCRadio3's #OperaOn3
Umberto Giordano, Sonya Yoncheva, Piotr Beczala, Igor Golovatenko, Siphokazi Molteno, Olesya Petrova, Brenton Ryan, Guriy Gurev, Maurizio Muraro, Nancy Fabiola Herrera, Alexander Birch Elliott, Tony Stevenson, Christopher Job, Jeongcheol Cha, Richard Bernstein, Ben Strong, New York Metropolitan Opera Orchestra, New York Metropolitan Opera Chorus & Daniele Rustioni:
🎵 Andrea Chenier: Act 3
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Roadmap towards Personalized Approaches and Safety Considerations in Non-Ionizing Radiation: From Dosimetry to Therapeutic and Diagnostic Applications
Ilkka Laakso, Margarethus Marius Paulides, Sachiko Kodera, Seungyoung Ahn, Christopher L. Brace, Marta Cavagnaro, Ji Chen, Zhi-De Deng, Valerio De Santis, Yinliang Diao, Lourdes Farrugia, Mauro Feliziani, Serena Fiocchi, Francesco Fioranelli, Takashi Hikage, Sergey Makaroff, Maya Mizuno, Alexander Opitz, Emma Pickwell-MacPherson, Punit P…

Roadmap towards Personalized Approaches and Safety Considerations in Non-Ionizing Radiation: From Dosimetry to Therapeutic and Diagnostic Applications
This roadmap provides a comprehensive and forward-looking perspective on the individualized application and safety of non-ionizing radiation (NIR) dosimetry in diagnostic and therapeutic medicine. Covering a wide range of frequencies, i.e., from low-frequency to terahertz, this document provides an overview of the current state of the art and anticipates future research needs in selected key topics of NIR-based medical applications. It also emphasizes the importance of personalized dosimetry, r…