Tootfinder

Mr. Abrego Garcia, speaking through an interpreter, has entered "not guilty" pleas to the two charges
@tennesseelookout.com
https://bsky.app/profile/anitawadhwani.bsky.social/post/3lripyl3g5s2q

Female athletes appeal landmark NCAA settlement, saying it violates federal antidiscrimination law | Courthouse News Service
https://www.courthousenews.com/female-athletes-appeal-landmark-ncaa-settlement-saying-it-violates-federal-antidiscrimination-law/

Sources: the US DOJ is reviewing whether Google's planned $32B acquisition of cybersecurity company Wiz would illegally limit competition in the market (Josh Sisco/Bloomberg)
https://www.bloomberg.com/news/articles/20

fly_hemibrain: Fly hemibrain (2020)
A synaptic map of the hemibrain connectome of fruit fly Drosophila melanogaster. Nodes are neurons, and edges are synaptic connections, traced individually from brain image sections using EM reconstruction techniques. Neurons are labeled by their type. Edges are annotated by the connection strength between the neurons.
This network has 21739 nodes and 4259624 edges.
Tags: Biological, Connectome, Weighted, Metadata

SWDL: Stratum-Wise Difference Learning with Deep Laplacian Pyramid for Semi-Supervised 3D Intracranial Hemorrhage Segmentation
Cheng Wang, Siqi Chen, Donghua Mi, Yang Chen, Yudong Zhang, Yinsheng Li
https://arxiv.org/abs/2506.10325

SWDL: Stratum-Wise Difference Learning with Deep Laplacian Pyramid for Semi-Supervised 3D Intracranial Hemorrhage Segmentation
Recent advances in medical imaging have established deep learning-based segmentation as the predominant approach, though it typically requires large amounts of manually annotated data. However, obtaining annotations for intracranial hemorrhage (ICH) remains particularly challenging due to the tedious and costly labeling process. Semi-supervised learning (SSL) has emerged as a promising solution to address the scarcity of labeled data, especially in volumetric medical image segmentation. Unlike …

The antidote to #shame is #selfcompassion
Find the podcast by searching for That Hoarder: Overcome Compulsive Hoarding podcast in your podcast player.
#hoarding

Sources: China delays approval of Synopsys' Ansys deal as the US moved in late May to ban chip design software sales by US firms, including Synopsys, to China (Financial Times)
https://www.ft.com/content/762b1818-795d-4270-b6cc-5d902d8bc0a8

China delays approval of $35bn US chip merger amid Donald Trump’s trade war
Beijing’s antitrust regulator postpones sign-off on Synopsys and Ansys deal

EmbodiedGen: Towards a Generative 3D World Engine for Embodied Intelligence
Wang Xinjie, Liu Liu, Cao Yu, Wu Ruiqi, Qin Wenkang, Wang Dehui, Sui Wei, Su Zhizhong
https://arxiv.org/abs/2506.10600

EmbodiedGen: Towards a Generative 3D World Engine for Embodied Intelligence
Constructing a physically realistic and accurately scaled simulated 3D world is crucial for the training and evaluation of embodied intelligence tasks. The diversity, realism, low cost accessibility and affordability of 3D data assets are critical for achieving generalization and scalability in embodied AI. However, most current embodied intelligence tasks still rely heavily on traditional 3D computer graphics assets manually created and annotated, which suffer from high production costs and li…

at_migrations: Austrian internal migrations (2002-2022)
A network of migrations between municipalities in Austria, from 2002 to 2022. A weighted directed link from source to target indicates a migration flow from these two municipalities. Edges are annotated with migration volume (number of people), nationality, sex, and year.
This network has 2115 nodes and 2908569 edges.
Tags: Social, Economic, Travel, Weighted, Politlcal, Timestamps, Metadata

corporate_directors: Global corporate directors (2016)
Bipartite network of directors and the companies on whose boards they sit, spanning 54 countries worldwide, constructed from data collected by the Financial Times (c. Sept. 2016). Person nodes are annotated with age and gender. Company nodes are annotated with their country, sector, industry, and number of employees.
This network has 356638 nodes and 377060 edges.
Tags: Economic, Governance, Unweighted, Metadata