COVID infection causes significant risk increases across multiple systems, per infection, in *everyone*, and one of the most common Long COVID symptoms, the Orwellian "Brain Fog", is actually a combination of physiological effects (dopamine receptor damage, serotonin production dysruption, etc) that *often* results in impulse control issues, depression, and increased chance of developing psychosis.
In fact, Long COVID numbers don't include new-onset psychiatric issues.
What are we doing now? Let's just say we are #hiring a software engineer to work on KDE’s #PlasmaMobile platform.
Is that you? Check out the full job offer and find out:
https://ev.kde.org/resources/jobad-softwareengineer2026/
#Plasma6 #Mobile #JobOffer #FreeSoftware #OpenSource #KDE #getFediHired
The 2026 Annual Report on the German economy is out — and it has been drafted in Typst. Let this be a sign that we are ready to tackle your hardest projects with you!
A post-Jensen Nvidia must reshuffle its leadership, reset its DC ties, and recognize that even the US' most valuable company cannot dictate US foreign policy (Chris Miller/Financial Times)
https://www.ft.com/content/0e2720d7-ba0a-4469-a854-30931f907bd3
http://www.techmeme.com/261115/p6#a261115p6
RE: https://wandering.shop/@aleen/117616400254494963
Minnesota can’t stop winning it looks like
$GDAY (Australia x3) +1.87 64.14 #TrendingNow #DayTrading #BTSE
Another olive harvest season at rock bottom
electronicintifada.net/content/another-olive-harvest-season-rock-bottom/51758
Israel’s genocide has decimated olive cultivation in Gaza, reducing the number of olive trees from two million to 150,000.
May I gently encourage you to start wearing a well-fitting mask when you're not at home?
Chris Hedges’ New Book “Requiem for Gaza”: The Genocide Was Precisely Planned | The Jimmy Dore Show
chrishedges.substack.com/p/chris-hedges-new-book-requiem-for
Chris Hedges details his his latest book, “Requiem for Gaza,” a graphic novel created with cartoonist Joe Sacco that documents the experiences of 29 Palestinian families.
This is an AI agent. If you see one, report it please.
Pixelfed is for humans.
@dansup
Won't they simply open their own instances sooner or later?
Für den Fall, dass jemand für ein altes Windows 2000 oder 😜 noch ein passendes, deutschsprachiges MS-Office sucht, habe ich heute Abend noch eine wirklich schöne CD-ROM hochgeladen: Office 2003 Professional aus dem offiziellen "Home Use Program" von Microsoft. Inkl. CD-Image, kompletten Scans, dem Service Pack 3 und UMSKT v0.4.0 Beta zur Aktivierung.
Link: https://archive.org/details/ms-office-pro_2003_de_cdrom
Herzlichen Dank an @Cycleholic !😉
#Office #CDROM #Microsoft #XP #Word #Excel #PowerPoint #RetroComputing #Retro
Bro you are elected by Pennsylvania not Israel.
@seldo Don't threaten us with a good time turncoat.
Posted in
Fediverse
Decentralized social media for environmental research
www.biorxiv.org/content/…/2026.11.06.764567v1
(Found with Aftergleam, a private reader for new research papers.)
Decentralized social media for environmental research
A. Chai-allah, A. Ghermandi, N. Fox, D. Van Berkel bioRxiv · 10.64898/2026.11.06.764567v1 · ecology · submitted 2026-11-12
Abstract
Social media data are reshaping environmental research. However, recent ownership and policy changes on centralized platforms like Twitter/X have motivated many users to seek new alternatives while simultaneously accelerating data restrictions for scientists. Decentralized social media, particularly Bluesky and Mastodon, are emerging as alternatives for users seeking greater control over their data and as a more stable and sustainable source of data for researchers. This rise may be instrumental in revitalizing the role of social media in environmental research. This study aims to provide a first-of-its-kind analysis of the potential of these new sources for environmental research, demonstrating their potential usefulness through the examples of climate change discourses and people’s appreciation of wildlife. We find an increased adoption of Mastodon and Bluesky, with high linguistic diversity, even if dominated by English. Wildlife image content reveals broad taxonomic diversity, with plants, birds, and insects dominating the records. We find this pattern broadly consistent with that observed on the popular citizen science platform iNaturalist. Climate change discourse is found to broadly reflect the scientific consensus on both platforms, with contrarian claims remaining uncommon. This suggests that researchers may benefit from less polarized opinions and misinformation, arising from interactions that are less driven by engagement maximizing algorithms implemented in other platforms. Our study illustrates the promise of decentralized social media as a new data source for environmental scientists and paves the way for their broader use in environmental research.
BONG, BONG, BONG, BONG, BONG, BONG, BONG
Surface Laptop Ultra vs. MacBook Pro 16: Nvidia's Arm chip runs Windows for 7.5 hours of real use, not the 13 hours 25 minutes in the benchmark
#SurfaceLaptopUltra #NvidiaRTXSpark #ArmLaptops #tech #GenerativeAI
Josh Marshall makes a compelling argument here that the much-discussed workaround to make the Electoral College irrelevant is a very bad idea.
@dangillmor these are reasonable complaints. However the closest election by popular vote since 1900 was by about 113k votes in 1960. That's not really that close. Even then, I'll take the problems this causes for the simple fact that a guy who lost the popular vote by nearly 3m doesn't become the President.
Algorithmic Feeds: The Data Exchange
The previous two posts (here and here) in this series on algorithmic feeds introduced the built-in criteria judge and external custom judges.
A custom judge is a script run by the Ktistec server that decides whether a post is included in the feed or excluded from the feed based on data about the posts that the server provides in a temporary SQLite database.
There is a lot of data to work with (the owner is you, the feed's creator):
feed
One row describing the feed being judged.name: The feed's name.description: The feed's description.params: The feed's parameters.
stats
One row. Posts per day over the last 90 days, across the authors the owner follows (confirmed only, not deleted or blocked). Authors who posted nothing in that window are left out.posting_rate_q1: First quartile.posting_rate_median: The median.posting_rate_q3: Third quartile.
authors
One row per author of any post inpostsorreferenced.iri: The author's IRI.type: The actor type.handle: The author's handle.followers: The IRI of the author's followers collection.deleted: Whether the author is deleted.blocked: Whether the author is blocked.followed: Whether the owner follows the author (a confirmed follow).rate_7,rate_30,rate_90: The author's posts per day over the last 7, 30, and 90 days, counting only posts the server has cached that aren't deleted or blocked.
posts/referencedpostsholds the posts to judge.referencedholds the posts replied to or quoted, one level deep. Both tables have the same columns.iri: The post's IRI.type: The object type.name: The post's name (title).summary: The post's summary (content warning).content: The post's content as HTML (Markdown is converted).language: The post's language.sensitive: Whether the post is marked sensitive.published: When the post was published.to,cc,audience: The addressing, as arrays of IRIs.attachments: An array of{url, media_type, caption}.in_reply_to: The IRI of the post this one replies to.quote: The IRI of the post this one quotes.thread: The IRI of the thread's root.hashtags,mentions: Arrays of{name, href}.labels: An array of the owner's private labels on the post.author: The author's IRI.deleted: Whether the post is deleted.blocked: Whether the post is blocked.timeline:"create"or"announce"if the post is in the owner's timeline, otherwiseNULL.poll:{options, multiple_choice, closed_at}, but only whentypeis"Question".
This data is used in the example judges shipped with Ktistec.
The polls judge builds a feed consisting of polls. It includes only posts whose type is "Question". It would be very easy to extend this judge to filter on single-choice vs. multi-choice or on polls about specific topics.
The quiet_posters judge is a little more complex. The server provides statistics on all of the actors you follow, as well as the author's posts per day over the last 7, 30, and 90 days. A post is included only if you follow its author and that author's 90-day posting rate is at or below the median, so the quieter half of your follows aren't drowned out by the noisier ones.
As you might imagine, there's a lot of value in judges built around statistics, social signals, and interactions. This is the area where I'm now putting most of my effort.