Tootfinder

Opt-in global Mastodon full text search. Join the index!

WTF
lol we're promising them 324 billion dollars?
It's like six years of their government's entire budget,
including offsets for petro sales lmfao.
We'd be paying their government to exist through Inauguration day 2033
bsky.app/profile/shipwreck75.b

@seeingwithsound@mas.to
2026-05-02 18:12:41

Brain prioritizes "sound offsets" during hearing repair neurosciencenews.com/auditory-
Noise-induced reduction and early recovery of superior paraolivary nucleus sound-offset responses

@memeorandum@universeodon.com
2026-07-16 10:55:46

Senators will 'insist on offsets' in reconciliation bill, Ron Johnson says (Jordain Carney/Politico)
politico.com/live-updates/2026
memeorandum.com/260716/p17#a26

@burger_jaap@mastodon.social
2026-06-11 06:46:17

🇺🇸 Car seeks energy partner to work together on exciting projects for the grid. A lasting partnership, based on equality that lifts both parties.
In Europe you could almost find the reverse contact ad:
🇪🇺 Smart energy partner seeks car for joint grid fun.
#V2G

@adulau@infosec.exchange
2026-07-07 15:02:25

Working on tempolocus, a tool that analyses time-series activity patterns to infer a user’s likely location.
In @…, we work with a large volume of social-network time series. Estimating users’ locations from these patterns is often a manual task.
I prototyped a Python module that combines potential locations with yearly activity …

adulau@blakley:~/git/tempolocus$ python3 -m tempolocus samples/weekfull-chan1.json --format text  -n 10 --holiday-profile public-worker 
input_type: weekly_timeseries
confidence: 0.220
activity_type: mixed-time (0.009)
assumptions:
  - Hourly buckets are interpreted as UTC; timezone candidates are offsets that make the activity look locally human.
  - Weekly data cannot distinguish all IANA zones sharing the same offset, and daylight saving time is not inferable without dates.
probable_countrie…
@seav@en.osm.town
2026-05-05 09:00:36

Whenever I see these obvious offsets in #OpenStreetMap, I have this itch to move them so they align with each other. But since I am not a local, I won’t do so and will leave it to Greek OpenStreetMappers to reconcile. But yeah, the 100-meter offset looks bad.
Island of Skopelos, #Greece 🇬🇷:

Screenshot of the default layer of OpenStreetMap depicting the northeast portion of the Greek island of Skopelos showing an offset between the island’s coastline and the boundary of a protected area
@toxi@mastodon.thi.ng
2026-05-01 09:04:53

Just patched my server against the copy.fail exploit:
askubuntu.com/a/1566257

@totientfunction@mathstodon.xyz
2026-05-23 09:04:20

Kitty Terminal Security PSA
If you are using the kitty terminal @…, go get your security update!
"The handle_compose_command() function in kitty/graphics.c performs bounds validation on composition offsets using unsigned 32-bit arithmetic that is subject to integer wrapping. An attacker who can write escape sequences to a kitty termin…

@darkrat@chaosfurs.social
2026-04-29 19:26:45

Holy. Fucking. Fuckballs.
This exploit is... insane.
> An unprivileged local user can write 4 controlled bytes into the page cache of any readable file on a Linux system, and use that to gain root
copy.fail/

@azonenberg@ioc.exchange
2026-05-24 16:05:58

Fun engineering problem I am currently facing: Generate a very long sine wave in ngscopeclient, accurately and in parallel, using only single-precision floating point and 32-bit integer math.
The current implementation, used in both the "sine" and "downconvert" filter, looks basically like (pseudocode with some stuff like scaling and offsets removed for simplicity)
double rate;
uint depth;
for GPU thread i in 0...depth-1
double tmp = (i * ra…

@@arXiv_physicsatomph_bot@mastoxiv.page@mastoxiv.page
2026-06-10 08:06:14

Enhanced nondipole momentum offsets in triple ionization of atoms driven by mid-infrared laser fields
Samuel James Praill, Georgios Petros Katsoulis, Daria Romero Torres, Agapi Emmanouilidou
arxiv.org/abs/2606.10837

@arXiv_physicsmedph_bot@mastoxiv.page
2026-06-23 07:55:35

MORSE-PI -- Flexible and artefact-free image reconstruction for structural and functional QSM and other phase-critical imaging applications
Barbara Dymerska, Oliver Josephs, Benjamin James, Vahid Malekian, Nadine N. Graedel, Martina F. Callaghan
arxiv.org/abs/2606.21336 arxiv.org/pdf/2606.21336 arxiv.org/html/2606.21336
arXiv:2606.21336v1 Announce Type: new
Abstract: Phase imaging applications such as QSM are highly sensitive to noise amplifications, phase singularities, and other artefacts, particularly in challenging scenarios such as ultra-high field (7T), under-sampled or single-echo acquisitions. We present a novel image reconstruction method, MORSE-PI, designed to produce high-SNR, artefact-free, and singularity-free phase images for both structural and functional phase-based brain imaging. MORSE-PI extends our previous approach, MORSE, by introducing a Virtual Reference Coil (VRC). The VRC is constructed as a linear combination of coil sensitivity maps, with correlations enhanced between coil elements using the noise covariance matrix. Such a VRC ensures robust signal support across the entire brain and is used to correct phase offsets in the MORSE-derived coil sensitivity estimates, resulting in artefact-free, high SNR phase. Compared to GRAPPA with ASPIRE phase correction, MORSE-PI demonstrates greater robustness to artefacts such as noise amplification and aliasing, and shows improved reproducibility in structural imaging at both 3T and 7T. Unlike ESPIRiT and GRAPPA combined with adaptive coil combination methods, MORSE-PI yields singularity-free phase maps. MORSE-PI enables high-SNR reconstructions even for the most challenging scenarios, such as single-echo EPI at 7T. Its efficient, containerised implementation using the Gadgetron framework supports deployment on the MRI scanner console during measurements. MORSE-PI offers a flexible and computationally efficient solution for generating high-SNR, artefact- and singularity-free phase images in both single- and multi-echo GRE and EPI acquisitions. This makes it particularly well-suited for structural and functional QSM, as well as other phase-based MRI applications. Its robustness and rapid computational time facilitate efficient deployment on scanners across field strengths.
toXiv_bot_toot