Tootfinder

O.k. four more slides by Eduard Masana at the Leuven SEC about the 2026 Total #SolarEclipse in Spain, namely what the Comisión Nacional del Eclipse is preparing: see https://www.iaa.csic.es/page/comision-nacional-eclipse and https://eclipses.ign.es and https://eclipse-spain.es/index.php/en/ for relevant websites. And some Final Thoughts and Recommendations about the expected eclipse experience in Spain. 13/n

An Exact Moment-Based Approach for Chemical Reaction-Diffusion Networks: From Mass Action to Hill Functions
Manuel Eduardo Hern\'andez-Garc\'ia, Eduardo Moreno-Barbosa, Jorge Vel\'azquez-Castro
https://arxiv.org/abs/2505.09053

An Exact Moment-Based Approach for Chemical Reaction-Diffusion Networks: From Mass Action to Hill Functions
Biochemical systems are inherently stochastic, particularly those with small-molecule populations. The spatial distribution of molecules plays a critical role and requires the inclusion of spatial coordinates in their analysis. Stochastic models such as the chemical master equation are commonly used to study these systems. However, analytical solutions are limited to specific cases, and stochastic simulations require significant computational resources. To mitigate these challenges, approximati…

Tons of valuable information about the 2026 Total #SolarEclipse at the Belgian conference today, esp. about the preferred Spain: some slides by Jay Anderson - see https://eclipsophile.com/tse2026/ for his full analysis - and Eduard Masana. 10/n

Efficient Traffic Classification using HW-NAS: Advanced Analysis and Optimization for Cybersecurity on Resource-Constrained Devices
Adel Chehade, Edoardo Ragusa, Paolo Gastaldo, Rodolfo Zunino
https://arxiv.org/abs/2506.11319

Efficient Traffic Classification using HW-NAS: Advanced Analysis and Optimization for Cybersecurity on Resource-Constrained Devices
This paper presents a hardware-efficient deep neural network (DNN), optimized through hardware-aware neural architecture search (HW-NAS); the DNN supports the classification of session-level encrypted traffic on resource-constrained Internet of Things (IoT) and edge devices. Thanks to HW-NAS, a 1D convolutional neural network (CNN) is tailored on the ISCX VPN-nonVPN dataset to meet strict memory and computational limits while achieving robust performance. The optimized model attains an accuracy…

🇺🇦 #NowPlaying on BBCRadio3's #SundayMorning
Edward Elgar, Sir Andrew Davis & BBC Symphony Orchestra:
🎵 Cockaigne Overture, Op 40, 'In London Town'
#EdwardElgar #SirAndrewDavis #BBCSymphonyOrchestra
https://open.spotify.com/track/30PBdr2TAZVfMW7R9LQb3z

🇺🇦 #NowPlaying on #BBC6Music's #6MusicsRaveForever
Paul Johnson:
🎵 Music's In Me
#PaulJohnson
https://edwardjr.bandcamp.com/track/paul-johnson-musics-in-me-edward-jr-remix

Kathleen Edwards at The Ark

"Terra" truth from Edward Givens
#MusicReview #UnsignedMusician
https://muz4now.c…

Terra truth from Edward Givens
Stan Stewart - @muz4now

The RSNA Lumbar Degenerative Imaging Spine Classification (LumbarDISC) Dataset
Tyler J. Richards, Adam E. Flanders, Errol Colak, Luciano M. Prevedello, Robyn L. Ball, Felipe Kitamura, John Mongan, Maryam Vazirabad, Hui-Ming Lin, Anne Kendell, Thanat Kanthawang, Salita Angkurawaranon, Emre Altinmakas, Hakan Dogan, Paulo Eduardo de Aguiar Kuriki, Arjuna Somasundaram, Christopher Ruston, Deniz Bulja, Naida Spahovic, Jennifer Sommer, Sirui Jiang, Eduardo Moreno Judice de Mattos Farina, Edu…

The RSNA Lumbar Degenerative Imaging Spine Classification (LumbarDISC) Dataset
The Radiological Society of North America (RSNA) Lumbar Degenerative Imaging Spine Classification (LumbarDISC) dataset is the largest publicly available dataset of adult MRI lumbar spine examinations annotated for degenerative changes. The dataset includes 2,697 patients with a total of 8,593 image series from 8 institutions across 6 countries and 5 continents. The dataset is available for free for non-commercial use via Kaggle and RSNA Medical Imaging Resource of AI (MIRA). The dataset was cre…

🇺🇦 #NowPlaying on BBCRadio3's #InTune
Felix Mendelssohn, City of Birmingham Symphony Orchestra & Edward Gardner:
🎵 Calm Sea and Prosperous Voyage Op.27
#FelixMendelssohn #CityofBirminghamSymphonyOrchestra #EdwardGardner