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Dennis D. McDonald
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Researchers design first artificial ribosome - Researchers at the University of Illinois at Chicago and Northwestern University have engineered a tethered ribosome that works nearly as well as the authentic cellular component, or organelle, that produces all the proteins and enzymes within the cell. The engineered ribosome may enable the production of new drugs and next-generation biomaterials and lead to a better understanding of how ribosomes function.
Researchers at the University of Illinois at Chicago and Northwestern University have engineered a tethered ribosome that works nearly as well as the authentic cellular component, or organelle, that produces all the proteins and enzymes within the cell. The engineered ribosome may enable the production of new drugs and next-generation biomaterials and lead to a better understanding of how ribosomes function.
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Database expert on why NoSQL mattered — and SQL still matters
Wow -- this is a really insightful view of How Things have Changed. Here is one of many valuable quotes: "In this new regime, where you store the data first and then figure out what to do with it, it’s completely changed it. Now you can collect all the technical data you can think about collecting. Yes, you have to do some extra work when you go to use it; and, yes, you might take a little bit of a performance hit because you don’t have the storage completely optimized; and, yes, there may be some consistency problems that you need to understand. But by and large, the friction of getting your data-management system put together now has just decreased dramatically."
The first part of this interview with University of California Berkeley professor and AMPLab co-director Michael Frankli…
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Ten Questions for People Who Manage Large Data Intensive Projects
I’ve been researching how to manage projects where the goal is to make large amounts of data open, accessible, and useful. I’ve now developed ten questions that explore the potentially unique project management requirements of such projects. If you're interested in exploring some of the project management challenges associated with data intensive projects and would be interested in being interviewed visa email or phone, please let me know; my contact info -- and the ten questions -- are in the linked article.
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The Big Data Iceberg
I'd throw in some "project management" below the waterline but this is pretty good as it is.
If there’s one area of analytics that people get really passionate about, it’s visualization. But as a new generation of people discover the joys of analytics, it’s worth remembering that pretty dashb...
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Why can’t Washington build a website?
The title is clickbait but the article's contents is evidence for optimism. One shortcoming of the article though is that there's a hell of a difference between developing software and managing the process changes that have to take place around the changed software, and that's not really addressed.
The 2016 presidential candidates like to talk about innovation, and they're currently debating the tech- fueled 'gig economy.' Those are important issues, but when it comes to how government meets the digital world, there's a crucial component they're not talking about.
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Amazing how fast mushrooms pop up.
The mushrooms sprang up overnight.
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Database expert on why NoSQL mattered — and SQL still matters
Wow -- this is a really insightful view of How Things have Changed. Here is one of many valuable quotes: "In this new regime, where you store the data first and then figure out what to do with it, it’s completely changed it. Now you can collect all the technical data you can think about collecting. Yes, you have to do some extra work when you go to use it; and, yes, you might take a little bit of a performance hit because you don’t have the storage completely optimized; and, yes, there may be some consistency problems that you need to understand. But by and large, the friction of getting your data-management system put together now has just decreased dramatically."
The first part of this interview with University of California Berkeley professor and AMPLab co-director Michael Frankli…
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+Antonio Badia "different use cases" is definitely something I picked up from reading this article.
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A recent Ars Technica article (http://arstechnica.com/tech-policy/2015/07/new-mpaa-mississippi-e-mail-showcases-anti-google-media-attack-plan/) added a bit of update to my own linked article but I don't think the MPAA's anti-Google planting of stories in the WSJ and the Today Show ever took place.
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Ten Questions for People Who Manage Large Data Intensive Projects
I’ve been researching how to manage projects where the goal is to make large amounts of data open, accessible, and useful. I’ve now developed ten questions that explore the potentially unique project management requirements of such projects. If you're interested in exploring some of the project management challenges associated with data intensive projects and would be interested in being interviewed visa email or phone, please let me know; my contact info -- and the ten questions -- are in the linked article.
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The Big Data Iceberg
I'd throw in some "project management" below the waterline but this is pretty good as it is.
If there’s one area of analytics that people get really passionate about, it’s visualization. But as a new generation of people discover the joys of analytics, it’s worth remembering that pretty dashb...
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Curtis Peebles' PROBING THE SKY
From my review of this ebook: "This book does a great job of reminding us about the research nature of these early experimental aircraft. They were designed for data gathering at a time when physical testing at high speeds and high altitudes was the only way to test reality. Wind tunnels were limited in their ability to manage transonic airflows. Today’s high-speed computers didn’t exist to support complex modeling. Someone had to fly these things."
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Curtis Peebles' PROBING THE SKY
From my review of this ebook: "This book does a great job of reminding us about the research nature of these early experimental aircraft. They were designed for data gathering at a time when physical testing at high speeds and high altitudes was the only way to test reality. Wind tunnels were limited in their ability to manage transonic airflows. Today’s high-speed computers didn’t exist to support complex modeling. Someone had to fly these things."
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