Tootfinder

Mick Shots: No matter surprises, back to work https://www.dallascowboys.com/news/mick-shots-no-matter-surprises-back-to-work

Three die in the crash of a helicopter providing news coverage for NBC Los Angeles, including photojournalist Eliana Moreno and pilot George Marciniw (Dennis Romero/NBC News)
https://www.nbcnews.com/news/us-news/helicopter-crashes-los-angeles-chatswo…

3 dead after news helicopter reporting for NBC Los Angeles crashes while covering fatal bus collision
An NBC Los Angeles helicopter was covering a Los Angeles Metro bus and a passenger vehicle collision, which killed two people and injured others, fire officials said.

Mick Shots: No matter surprises, back to work https://www.dallascowboys.com/news/mick-shots-no-matter-surprises-back-to-work

Así voy a poder contemplar el #eclipse2026 desde el balcón de casa. A ver si hay suerte y ese día no hay nubes.
Ademšs esta tarde he encontrado por casa un filtro del dišmetro de uno de los objetivos que tengo, concretamente para el 100-400, que me viene ni al pelo para "tintarlo" mañana en el pabellón con lšmina de las que usamos para tintar las lunas de los autobuses e ir haciendo …

L’assèchement du Danube met les pays d’Europe centrale au bord d’une crise énergétique
https://www.lemonde.fr/planete/article/2026/08/03/l-assechement-du-danube-met-les-pays-d-europe-cen…

L’assèchement du Danube met les pays d’Europe centrale au bord d’une crise énergétique
Confrontés à des niveaux historiquement bas du plus grand fleuve d’Europe, plusieurs pays ont dû mettre à l’arrêt une partie de leurs réacteurs nucléaires. La Hongrie a appelé les entreprises et les particuliers à réduire drastiquement leur consommation.

Free agent Stefon Diggs keeps eye on Commanders: 'Back home' fans still matter

https://www.cbssports.com/nfl/news/nfl-free-agent-stefon-diggs-commanders/

PRIME-SVR: Physics-infoRmed Implicit Multi-Echo Slice-to-Volume Reconstruction for Fetal T2 mapping
Busra Bulut, Maik Dannecker, Thomas Sanchez, Sara Neves Silva, Steven Jia, Jean-Baptiste Ledoux, Leo Pomar, Joanna Sichitiu, Yvan Gomez, Meriam Koob, Vincent Dunet, Maria Deprez, Guillaume Auzias, Francois Rousseau, Jana Hutter, Daniel Rueckert, Meritxell Bach Cuadra
https://arxiv.org/abs/2607.20136 https://arxiv.org/pdf/2607.20136 https://arxiv.org/html/2607.20136
arXiv:2607.20136v1 Announce Type: new
Abstract: Slice-to-volume reconstruction (SVR) is the standard method for obtaining high-resolution (HR) 3D fetal brain volumes from motion-corrupted 2D MRI slice stacks acquired in multiple orientations. Existing SVR methods are optimized and validated only for clinical-range echo times (TEs), limiting their use at non-clinical TEs and making them incompatible with quantitative T2 mapping, a protocol- and center-independent biomarker of fetal brain maturation requiring HR reconstructions across multiple TEs. We present PRIME-SVR, the first implicit neural representation (INR) framework for joint HR reconstruction from multi-echo MRI. A single fully connected network models a continuous function from spatial coordinates to signal intensities across TEs, while a second network estimates slice-specific acquisition degradations. Cross-TE coherence is enforced via a Bloch equation-derived regularization penalizing deviations from expected T2 decay, with adaptive weighting that strengthens coupling for degraded stacks. The method is fully self-supervised. We validate PRIME-SVR on 39 in vivo fetal acquisitions (13 subjects x 3 TEs) from two centers, two vendors, and two field strengths (1.5 T and 0.55 T). Compared to state-of-the-art SVR, PRIME-SVR improves reconstruction sharpness by 47%, anatomical accuracy by 30%, and cross-TE structural consistency by 14%. It enables reconstruction at late TEs previously inaccessible to SVR, yielding the first 0.8 mm isotropic T2 maps at 0.55 T and the first T2 maps derived from INR-based SVR. PRIME-SVR also accelerates quantitative imaging by reducing the data needed for multi-TE reconstruction, cutting acquisition from 15 to 10 minutes while keeping T2 accuracy within 1.7% in white and deep gray matter, or to 5 minutes with a mean T2 error of 2.3% for high-quality acquisitions.
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