This is article 1 of 3 in the series “WP REST API” WP REST API Part 1: Creating a Mobile App with WP-API and React Native WP REST API Part 2: Customizing Default Endpoints and Adding New Ones WP REST API Part 2.5: Using it in WordPress 4.4 The WP REST API is a WordPress plugin that intends …
A lightweight 3D Linear Carousel with parallax effect
A collaborative list of open-source iOS apps
我也是刚刚无意刷到最新封面研究的配套视频 《The Brain Dictionary》（不过我觉得还是翻译成「大脑词汇地图」更为贴切）。太酷了。太酷了。太酷了。
Where exactly are the words in your head? Scientists have created an interactive map showing which brain areas respond to hearing different words. The map reveals how language is spread throughout the cortex and across both hemispheres, showing groups of words clustered together by meaning. The beautiful interactive model allows us to explore the complex organisation of the enormous dictionaries in our heads.
Thus, getting the design right is critical:
- Debt-equity conversions should convert debt only of viable firms in the context of operational restructuring plans for the firms (which may include changing management), at fair value, and with banks holding the equity for a limited period only.
- NPL securitization should encompass a diversified pool of NPLs, with banks keeping some residual financial interest (“skin in the game”), under a legal and operational framework that will allow owners of distressed assets to force operational restructuring of firms and obtain the best value from those assets.
Functional magnetic resonance imaging (fMRI) was used to measure brain activity in seven people while they listened to more than 2 hours of stories from The Moth Radio Hour. This data was used to estimate voxel-wise models that predict brain activity in each voxel (volumetric pixel) based on the meaning of the words in the stories. Read the paper describing this research here.
This is an interactive 3D viewer for models fit to one subject’s brain. Colors show the category of words predicted to elicit the largest response in each voxel (legend, bottom left).
Click and drag brain to rotate. Scroll to zoom. Click voxel to see more detail. Click ‘Next’ to begin a short tour. If you have problems email or github might help.
A good example is Waterloo – Napoleon Bonaparte really could have won, and it was very close. He wouldn’t have needed completely different circumstances, just a few different decisions over the previous few days. There was no inevitability to his defeat. But if he had won, what then? Would he have been able to reach a settlement and place a Bonaparte dynasty on the throne of France for a century, or had Europe changed since his heyday, and would the allies have rallied, raised another army and crushed him a few months later? Probably the latter. This is the answer to a lot of counterfactuals – if the Ottoman Turks hadn’t captured Constantinople in 1453, they’d have captured it in 1454. But on the other hand, suppose Lenin had died in a bank robbery in the early 1900s. There would have been chaos and revolution, but Bolshevism would be an obscure sect, filed next to People’s Will, and Russia might have gone down a much less bloody path.