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Comment Re:One blue ship stuck upon the ice. (Score 3, Informative) 382

According to the article, the Aurora Australis has continued on its planned course (with the rescued passengers from the Russian ship). The stuck ships are a Chinese icebreaker and the original Russian ship. However, the Russian ship is not an icebreaker, and so the sensationalist headline is a bit wrong.

Comment Re:So it took (Score 1) 209

I am rather skeptical when it comes to the conclusions drawn from various studies in social sciences myself, but 18 months seems pretty quick for a follow up study. If you read the article (or the paper), you'll see that they first had recruiters judge the facebook profiles of candidates and then, 12 months later, followed up with the companies that hired students to gain information on their actual performance as perceived by the employer.

Clearly, you need to let a significant amount of time pass after them being hired to be able to get some data on their actual performance. A year seems quite reasonable hear, and that gives you a lower bound on the time it will take you to complete such a study. Giving them some extra time for study design, evaluating the results and publishing them (which includes a peer review phase), 18 months seems quite fast - they certainly did not waste any time!

Submission + - Ask Slashdot: Scientific Computing Workflow for the Cloud?

diab0lic writes: I have recently come into the situation where I need to run cloud computing on demand for my research. Amazon's EC2 Spot Instances are an ideal platform for this as I can requisition an appropriate instance for the given experiment {high cpu, high memory, GPU instance} depending on its needs. However I currently spin up the instance manually, set it up, run the experiment, and then terminate manually. This gets tedious monitoring experiments for completion, and I incur unnecessary costs if a job finishes while I'm sleeping for example. The whole thing really should be automated. I'm looking for a workflow somewhat similar to this:
  1. Manually create amazon machine image (AMI) for experiment.
  2. Issue command to start AMI on specified spot instance type.
  3. Automatically connect EBS to instance for result storage.
  4. Automatically run specified experiment, bonus if this can be parameterized.
  5. Have AMI automatically terminate itself upon experiment completion.

Something like docker that spun up on demand spot instances of a specified type for each run and terminated said instance at run completion would be absolutely perfect. I also know HTCondor can back onto EC2 spot instances but I haven't really been able to find any concise information on how to setup a personal cloud — I also think this is slight overkill. Do any other /. users have similar problems? How did you solve it? What is your workflow? Thanks!

Comment Island vanished? (Score 1) 182

"The world is a constantly changing place", the Google spokesman told AFP, "and keeping on top of these changes is a never-ending endeavour."

In these circumstances that's a rather unfortunate sentence unless the spokesman is suggesting that the island just vanished.

Comment Re:Lets forget the 'right to be forgotten' (Score 1) 128

This is about companies holding personal data of consumers. In the EU the legal point of view is in general that a person "owns" their personal information. They may entrust it to a company for some transaction, storage or whatever, but these rights granted to the company are limited, and can be revoked if there is no business relation anymore. Without the persons permission you would never even be allowed to store their personal data on your server! You have no inherent right to other peoples personal information.

Comment Re:Marketing strategy (Score 5, Informative) 146

The FBI collected information for a period from January 1960 to September 1962 and found that in American cities deploying both types of vehicles, 65% of the officers killed while on duty killed were in two-officer vehicles while only 35% were in one-officer vehicles.

That seems like a rather natural correlation: Presumably when there is a potential for a dangerous situation to arise, a two-officer vehicle would be dispatched. Concluding anything about the safety of one-officer vehicles vs. two-officer vehicles from this statistic would be on rather shaky ground.

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