Random Posts
📺 The Daily Show with Trevor Noah: July 24, 2017 – French Montana
Anthony Scaramucci joins the Trump administration, Trevor bids farewell to former White House Press Secretary Sean Spicer, and French Montana discusses "Jungle Rules."
Madelines with fruit
Checkin Tropico Station: US Post Office





Following The Literature and History Podcast

Literature and History is a free podcast, covering Anglophone literature from ancient times to the present. It includes summaries, analysis, historical background and original music.
Read posts nearly perfected!
In a project which I started just before IndieWebCamp LA in November, I’ve moved a big step closer to perfecting my “Read” posts!
Thanks in large part to WordPress, PressForward, friends and help on the IndieWeb site too numerous to count, and a little bit of elbow grease, I can now receive and read RSS feeds in my own website UI (farewell Feedly), bookmark posts I want to read later (so long Pocket, Instagram, Delicious and Pinboard), mark them as read when done, archive them on my site (and hopefully on the Internet Archive as well) for future reference, highlight and annotate them (I still love you hypothes.is, but…), and even syndicate (POSSE) them automatically (with emoji) to silos like Facebook, Twitter (with Twitter Cards), Tumblr, Flipboard, LinkedIn, Pinterest, StumbleUpon, Reddit, and Delicious among others.
Syndicated copies in the silos when clicked will ping my site for a second and then automatically redirect to the canonical URL for the original content to give the credit to the originating author/site. And best of all, I can still receive comments, likes, and other responses from the siloed copies via webmention to stay in the loop on the conversations they generate without leaving my site.
Here’s an example of a syndicated post to Twitter:
👓 Physicists Uncover Geometric ‘Theory Space’ | Quanta Magazine https://t.co/HuKg1d4a80
— ChrisAldrich (@ChrisAldrich) February 23, 2017
I’m now more resistant to a larger number of social media silos disappearing with my data. Huzzah!
What’s next?
👓 You Think Your Vote Doesn’t Count? Read This! | ColoradoBoulevard.net
Five votes. That’s the number of votes that finally put Denise Menchaca over the top to win a seat on the San Gabriel City Council in 2016. But those five votes came at the end of a long and torturous road. By Cher...
If I mysteriously disappear, this will be why pic.twitter.com/DAV8GgZfC5
— iancanwrite (@iancanwrite) June 7, 2020
Color Theme Switcher by Max Böck

Let users customize your website with their favorite color scheme! Your site has a dark mode? That's cute. Mine has ten different themes now, and they're all named after Mario Kart race tracks.
👓 After selling off his father’s properties, Trump embraced unorthodox strategies to expand his empire | Washington Post
In 2005, Donald Trump kicked off a decade-long buying and spending spree, vastly expanding his hotel and golf-course empire and cementing his image as a brash impresario. The unorthodox approach Trump took in making those bold bets — racing through hundreds of millions in cash and drawing loans from the private-wealth office of Deutsche Bank — came when he was on new terrain as a developer.
👓 An Invisible Rating System At Your Favorite Chain Restaurant Is Costing Your Server | BuzzFeed

In data-hungry, tech-happy chain restaurants, customers are rating their servers using tabletop tablets, not realizing those ratings can put jobs at risk.
And Ziosk could be a roundabout way for employers to discriminate against employees. Employers are legally restricted from evaluating employees based gender, age, race, or appearance, according to Karen Levy, an assistant professor in the Department of Information Science at Cornell University — but nothing is stopping Ziosk users from doing that, even though those ratings can affect a worker’s pay or employment. “If you outsource that job to a consumer, you may be able to escape that,” she said.
“Customers who might discriminate against a certain class or group of workers can use the system to leave negative comments that would affect the workers,” said Cornell’s Ajunwa. She compared the restaurant system to student evaluations of professors, which determine the trajectory of their careers, and tend to be biased against women.
Having low scores posted for all coworkers to see was “very embarrassing,” said Steph Buja, who recently left her job as a server at a Chili’s in Massachusetts. But that’s not the only way customers — perhaps inadvertently — use the tablets to humiliate waitstaff. One diner at Buja’s Chili’s used Ziosk to comment, “our waitress has small boobs.”According to other servers working in Ziosk environments, this isn’t a rare occurrence.
This is outright sexual harrassment and appears to be actively creating a hostile work environment. I could easily see a class action against large chains and/or against the app maker themselves. Aggregating the data and using it in a smart way is fine, but I suspect no one in the chain is actively thinking about what they’re doing, they’re just selling an idea down the line. The maker of the app should be doing a far better job of filtering this kind of crap out and aggregating the data in a smarter way and providing a better output since the major chains they’re selling it to don’t seem to be capable of processing and disseminating what they’re collecting.
🔖 Emerging Frontiers of Neuroengineering: A Network Science of Brain Connectivity
Neuroengineering is faced with unique challenges in repairing or replacing complex neural systems that are composed of many interacting parts. These interactions form intricate patterns over large spatiotemporal scales, and produce emergent behaviors that are difficult to predict from individual elements. Network science provides a particularly appropriate framework in which to study and intervene in such systems, by treating neural elements (cells, volumes) as nodes in a graph and neural interactions (synapses, white matter tracts) as edges in that graph. Here, we review the emerging discipline of network neuroscience, which uses and develops tools from graph theory to better understand and manipulate neural systems, from micro- to macroscales. We present examples of how human brain imaging data is being modeled with network analysis and underscore potential pitfalls. We then highlight current computational and theoretical frontiers, and emphasize their utility in informing diagnosis and monitoring, brain-machine interfaces, and brain stimulation. A flexible and rapidly evolving enterprise, network neuroscience provides a set of powerful approaches and fundamental insights critical to the neuroengineer's toolkit.