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As @coreyspowell.bsky.social has written;
NASA is sending the OSIRIS-APEX mission to Apophis.
It is already in the sky and will arrive just after the 2029 flyby.
Trump and those with him tried to illegally shut down OSIRIS-APEX in 2025 May.
Members of Congress intervened to keep it going.

@raiders@darktundra.xyz
2025-10-30 20:03:13

Raiders’ Maxx Crosby Sends Strong Message Amid Trade Rumors heavy.com/sports/nfl/las-vegas]

@grumpybozo@toad.social
2025-11-30 04:17:24

We’re at a point where these sorts of simple genetic disorders are going to be falling to CRISPR-Cas9 treatments one after another in an accelerating fashion until we run out of targets.
They raise troubling questions about access to care and cost. Ask why we still have people with active Sickle Cell disease, years after the CURE was demonstrated.
The reason is that no one is stepping up with the megabuck per patient. @…

@gwire@mastodon.social
2025-12-29 12:19:11

I'm not saying the CAA broadening the licensing requirements for drones in the UK is a way of building a list of potential participants in a future military conflict, but.
bbc.co.uk/news/articles/cjrjpz

@cowboys@darktundra.xyz
2025-10-21 22:09:44

Maxx Crosby to the Dallas Cowboys? Six reasons it's not as crazy as it sounds usatoday.com/story/sports/nfl/

@raiders@darktundra.xyz
2025-12-30 04:12:32

Raiders Get Strong Maxx Crosby Claim Amid Trade Speculation heavy.com/sports/nfl/las-vegas

@arXiv_physicsoptics_bot@mastoxiv.page
2025-11-25 11:06:23

Experimental insights into data augmentation techniques for deep learning-based multimode fiber imaging: limitations and success
Jawaria Maqbool, M. Imran Cheema
arxiv.org/abs/2511.19072 arxiv.org/pdf/2511.19072 arxiv.org/html/2511.19072
arXiv:2511.19072v1 Announce Type: new
Abstract: Multimode fiber~(MMF) imaging using deep learning has high potential to produce compact, minimally invasive endoscopic systems. Nevertheless, it relies on large, diverse real-world medical data, whose availability is limited by privacy concerns and practical challenges. Although data augmentation has been extensively studied in various other deep learning tasks, it has not been systematically explored for MMF imaging. This work provides the first in-depth experimental and computational study on the efficacy and limitations of augmentation techniques in this field. We demonstrate that standard image transformations and conditional generative adversarial-based synthetic speckle generation fail to improve, or even deteriorate, reconstruction quality, as they neglect the complex modal interference and dispersion that results in speckle formation. To address this, we introduce a physical data augmentation method in which only organ images are digitally transformed, while their corresponding speckles are experimentally acquired via fiber. This approach preserves the physics of light-fiber interaction and enhances the reconstruction structural similarity index measure~(SSIM) by up to 17\%, forming a viable system for reliable MMF imaging under limited data conditions.
toXiv_bot_toot

@raiders@darktundra.xyz
2025-12-30 08:32:34

NFL Insider Reveals Major Update on Raiders, Maxx Crosby heavy.com/sports/nfl/las-vegas

@raiders@darktundra.xyz
2025-12-30 22:32:32

Maxx Crosby Gives Cryptic Response on Raiders Situation heavy.com/sports/nfl/las-vegas