Cowboys Get Terrible News On Playoff Chances Following Vikings Loss https://heavy.com/sports/nfl/dallas-cowboys/cowboys-playoffs-one-percent-chance/
Short day today as the worker had to leave early for some sort of appointment.
Still, the hanging rails are up inside the wardrobe, the racks are up in the closet to support the adjustable shelves in there, the fixed shelves at the side of the cupboard are up.
I thought I smelled paint for a while before he left but turns out that was "wood filler", apparently filling the holes in the natural wood?
Not sure what this frame will be. Is it the edges for a panel door? Is it the start of the windowed doors for the top cupboards? Dunno.
Here’s a link to a sales pitch/demo of a sling, one of the oldest weapons known to us bipedal apes, slightly newer than just throwing rocks. There’s a link to a web site at the end. I have to say, the accent of the demonstrator/narrator is, I will say interesting. Remove the spaces in the following url if you’re curious.
https: //youtu.be/ F7N3MgAkb-k?si=sNldR-3BcqvO3fN9
If this toot violates any moderator’s sense of propriety then please remove it.
Controlled nucleation in methylamine-treated perovskite films by artificial seeding and phase-field simulations
Emilia R. Sch\"utz, Martin Majewski, Olivier J. J. Ronsin, Jens Harting, Lukas Schmidt-Mende
https://arxiv.org/abs/2511.21407
Estimating Spatially Resolved Radiation Fields Using Neural Networks
Felix Lehner, Pasquale Lombardo, Susana Castillo, Oliver Hupe, Marcus Magnor
https://arxiv.org/abs/2512.17654 https://arxiv.org/pdf/2512.17654 https://arxiv.org/html/2512.17654
arXiv:2512.17654v1 Announce Type: new
Abstract: We present an in-depth analysis on how to build and train neural networks to estimate the spatial distribution of scattered radiation fields for radiation protection dosimetry in medical radiation fields, such as those found in Interventional Radiology and Cardiology. Therefore, we present three different synthetically generated datasets with increasing complexity for training, using a Monte-Carlo Simulation application based on Geant4. On those datasets, we evaluate convolutional and fully connected architectures of neural networks to demonstrate which design decisions work well for reconstructing the fluence and spectra distributions over the spatial domain of such radiation fields. All used datasets as well as our training pipeline are published as open source in separate repositories.
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