drosophila_flybi: Fruit fly protein interactions (Drosophila melanogaster)
Binary protein-protein interactions (PPIs) for Drosophila melanogaster, containing 8723 PPIs among 2939 proteins. The iteractions were identified using a yeast two-hybrid (Y2H) analysis.
This network has 2939 nodes and 8723 edges.
Tags: Biological, Protein interactions, Unweighted
Eine Million Balkonkraftwerke in Deutschland
Deutschland hat einen weiteren Meilenstein erreicht. Das Marktstammdatenregister verzeichnet jetzt mehr als eine Million Balkonkraftwerke.
https://www.
ICE secretly funnels millions to private prison giant under Trump-era loophole - Raw Story
https://www.rawstory.com/ice-secretly-funnels-millions-to-private-prison-giant-under-trump-era-loophole/
Group Backed by George Soros to Plow Millions Into Turning Texas Blue (Ken Thomas/Wall Street Journal)
https://www.wsj.com/politics/group-backed-by-george-soros-to-plow-millions-into-turning-texas-blue-4dfa75bf
http://www.memeorandum.com/250609/p22#a250609p22
"1% of offshore wind investments could restore millions of hectares of marine life"
#WindTurbines #Energy #Renewables
GeoLaux: A Benchmark for Evaluating MLLMs' Geometry Performance on Long-Step Problems Requiring Auxiliary Lines
Yumeng Fu, Jiayin Zhu, Lingling Zhang, Bo Zhao, Shaoxuan Ma, Yushun Zhang, Yanrui Wu, Wenjun Wu
https://arxiv.org/abs/2508.06226
House Republicans who voted to pass Donald Trump’s tax bill last week
💥know it’s going to slash the federal Medicaid program by $1 trillion
🔥and kick millions of people off of their health care.
But that sounds bad.
And people already hate this law.
So instead of saying that,
Republicans are trying out a new way of talking about the bill they all voted for:
👉They just pretend they voted to increase Medicaid spending!
Source: OpenAI awards bonuses to ~1,000 research and engineering employees, or ~30% of its staff, ranging from several hundred thousand to millions of dollars (Stephanie Palazzolo/The Information)
https://www.theinformation.com/briefings/o
OST-Bench: Evaluating the Capabilities of MLLMs in Online Spatio-temporal Scene Understanding
JingLi Lin, Chenming Zhu, Runsen Xu, Xiaohan Mao, Xihui Liu, Tai Wang, Jiangmiao Pang
https://arxiv.org/abs/2507.07984