Tootfinder

Characterizing Intraventricular Flow Patterns via Modal Decomposition Techniques in Idealized Left Ventricle Models
Eneko Lazpita, Michael Neidlin, Jesus Garicano-Mena, Soledad Le Clainche
https://arxiv.org/abs/2507.21651

Characterizing Intraventricular Flow Patterns via Modal Decomposition Techniques in Idealized Left Ventricle Models
Understanding the formation, propagation, and breakdown of the main vortex ring (VR) is essential for characterizing left ventricular (LV) hemodynamics, as its dynamics have been linked to the onset and progression of cardiovascular diseases. In this study, two idealized LV geometries, a semi-ellipsoidal chamber and a more rounded configuration, are analyzed using computational fluid dynamics (CFD) simulations under physiological conditions, with the aim of investigating the fluid mechanisms th…

🔊 #NowPlaying on #BBCRadio3:
#BrassBandingWithHannahPeel
- From Tokyo to Tongwynlais
Hannah meets Japanese baritone player Shoko who has brought her Welsh band on tour to Tokyo. Plus a rendition of Vivaldi’s Four Seasons for brass.
Relisten now 👇
https://www.bbc.co.uk/programmes/m002dcdl

Carbon Nitride: Physical properties and Applications
Shilpi Kumari, Soubhagyam sharma, Manisha Kumari, Manish Kumar Singh, Rakesh K. Prasad, Kwang-geol Lee, Dilip K. Singh
https://arxiv.org/abs/2506.20140

Carbon Nitride: Physical properties and Applications
Graphitic carbon nitride has emerged as a versatile, metal-free semiconductor with applications spanning over broad range of domains encompassing energy storage, environmental remediation and sensing. Despite significant progress in recent years, there remains a lack of comprehensive discussion on the graphitic carbon nitride's evolving role in next-generation technologies and the engineering strategies needed to overcome existing challenges. In this review article, the critical assessment of t…

The 81st edition of De Programmatica Ipsum is out!
This month, we worry about the perils of vibe coding in the minds of new generations of software developers; in the Library section, we review "Geek Sublime" by Vikram Chandra; and in our Vidéothèque section, we watch a 1986 interview of Grace Hopper at "Late Night with David Letterman".

ACE: Automated Technical Debt Remediation with Validated Large Language Model Refactorings
Adam Tornhill, Markus Borg, Nadim Hagatulah, Emma S\"oderberg
https://arxiv.org/abs/2507.03536

ACE: Automated Technical Debt Remediation with Validated Large Language Model Refactorings
The remarkable advances in AI and Large Language Models (LLMs) have enabled machines to write code, accelerating the growth of software systems. However, the bottleneck in software development is not writing code but understanding it; program understanding is the dominant activity, consuming approximately 70% of developers' time. This implies that improving existing code to make it easier to understand has a high payoff and - in the age of AI-assisted coding - is an essential activity to ensure…

Alice and the Caterpillar: A more descriptive null model for assessing data mining results
Giulia Preti, Gianmarco De Francisci Morales, Matteo Riondato
https://arxiv.org/abs/2506.09764

Alice and the Caterpillar: A more descriptive null model for assessing data mining results
We introduce novel null models for assessing the results obtained from observed binary transactional and sequence datasets, using statistical hypothesis testing. Our null models maintain more properties of the observed dataset than existing ones. Specifically, they preserve the Bipartite Joint Degree Matrix of the bipartite (multi-)graph corresponding to the dataset, which ensures that the number of caterpillars, i.e., paths of length three, is preserved, in addition to other properties conside…