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Written on March 20, 2008
Comprar viagra, Much has been said lately about "life streaming". WordSpy, one of my favorite blogs tracking the emergence of new words and phenomena, order viagra online legally, even had an entry on it:
lifestreaming
n. Ordering viagra online legally, An online record of a person's daily activities, either via direct video feed or via aggregating the person's online content such as blog posts, social network updates, Virginia VA Va. , and online photos.
Those who follow, Billige viagra Apotheke, even slightly, the world of social apps, could not have missed the hottest app on the block, where to buy cheap viagra, FriendFeed, Order viagra from canada, which aggregates activities of all your friends on 28 different services, thus making it much easier to follow what they are up to from one platform (some, like Scoble, cheap viagra online without prescription, even have gone so far as to call it the TechMeme and the Google News killer, Osta viagra online, as it allows us to see the "individual voices" that seem to have disappeared from TechMeme).
Apparently, now lifestreaming has found a very interesting application in scientific research, osta alennus viagra, with some scientists opting for what they have dubbed "research stream" (thanks to BBGM blog for the pointer). Ordering viagra no prescription, I find this idea fascinating and think that it can transform scientific collaboration. One of such scientists, Michael Barton, a PhD Student in Bioinformatics at the University of Manchester, has already built a platform that, with the help of Yahoo Pipes, aggregates his research activity from Twitter and feeds from Flickr (appropriately tagged), CiteULike and his blog (only research related material), comprar viagra. His Twitter messages are generated from a script that sends log messages from Subversion to Twitter.
It's obvious that such research streams can be extremely useful for researchers and scientists, acquistare online viagra, as they allow for instantaneous communication and even collaboration, Viagra ordine on-line, without the need to wait 6 months until one secures an article published in a scientific journal. What Michael Barton did is extremely smart, but it still requires some geekery, Wyoming WY Wyo. . I am really curious as to whether automated research streams can be built, Cheap viagra online, so that they don't require the Yahoo Pipes or hacking of Twitter, and also used more proactively to alert scientists of their colleagues who may be working on the same issues (i.e. Comprar viagra, some sort of "friends you may like" auto-discovery feature we see on some social networks).
BBGM blog, kopen goedkope viagra, which covers biology and information technology, Cheapest viagra in the world, has some similar thoughts on the issue:
Right now, we are at a stage where, on the web, Massachusetts MA Mass. , we have platforms, Viagra discount, aggregators and destination sites. We can consume information passively, but only access it actively, Ohio OH . It would be very interesting to see how we can go from passive streaming to passive stream processing. Utah UT , In my mind that’s a Semantic Web problem, where we can find relationships in data streams, but of course, comprar en línea viagra, I could be completely way off base. Cheap viagra overnight delivery, That said, until the web becomes a platform not just for automating information distribution and aggregation, but also for autodiscovery and autointelligence, cheap viagra online legally, it’s not quite the comprehensive platform that it can be. Vermont VT Vt. , That’s what an intelligent backend should be able to do; interpret all that data meaningfully with minimal human intervention.
All in all, Barton's is a very creative effort and I'd be curious to see more scientists not just using the social web as proactively as he does, but also using it with a purpose, viagra generic.
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