Scott Routley was asked questions while having his brain activity scanned in an fMRI machine. British neuroscientist Prof Adrian Owen said Mr Routley was clearly not vegetative.
"Scott has been able to show he has a conscious, thinking mind. We have scanned him several times and his pattern of brain activity shows he is clearly choosing to answer our questions. We believe he knows who and where he is."
As a consequence, medical textbooks would need to be updated to include Prof Owen's techniques, because only observational assessments (as opposed to using mind-readers) of Mr Routley have continued to suggest he is vegetative.
The professor in an earlier interview functional MRI machines are expensive (up to $2 million), but it’s quite possible that a portable high-end EEG machine, costing about $75,000, can be used at a patient’s bedside.
Phillip K Dick's world is one step closer.
So, I bring my questions to you, all knowing slashdotters, are there any laws that require AT&T to divulge how they are calculating bandwidth? Should I contact my state's commerce commission or the FCC to attempt to get an answer to this?"
Google has a long history of pushing back against governmental demands for data, going back at least to its refusal to turn over search data to the Department of Justice in 2005.
Many other companies have chosen to cooperate with government requests rather than question or oppose them, but Chou notes that in the past year, companies like Dropbox, LinkedIn, Sonic.net and Twitter have begun making government information requests public, to inform the discussion about Internet freedom and its limits.
According to the report, the U.S. continues to make the most requests for user data, 7,969 in the first six months of the year. Google complied with 90% of these requests. Google's average compliance rate for the 31 countries listed in the report is about 47%.
"Researchers at Norman Security today revealed that they recently analyzed malware used in phishing emails targeting Israeli and Palestinian targets and found that attackers used malware based on the widely available Xtreme RAT crimeware kit. The attacks, which first hit Palestinian targets, this year began going after Israeli targets, including Israeli law enforcement agencies and embassies around the world. Norman says the same attacker is behind the attacks because the attacks use the same command-and-control (C&C) infrastructure, as well as the same phony digital certificates.
This attack campaign just scratches the surface of the breadth and spread of these types of attacks around the world as more players have been turning to cyberspying. "We're just seeing the tip of the iceberg," says Einar Oftedal, deputy CTO at Norman."
The problem, of course, is that some students just grab the final-result file and rename it and turn it in. Some are a little less brazen and they rename a few layers, maybe alter the colors on a few images, etc. So, it becomes time-consuming for her to open each file alongside the final-result file to see if it's "too perfect".
When I first discovered that she was doing this, my first reaction was that there's got to be some automated way of catching the cheaters. Of course, my first idea of just doing MD5 hashes of each file won't work, since most kids alter the file a little bit.
A second idea I had was to alter the final-result file in a way that isn't obvious, like removing someone's shoelace, mis-spelling a word in the background, or removing/adding some dust-specks. (I know map publishers and music transcribers use this trick to catch copiers). But this still requires that she look for the alteration in each file. I'd think that Photoshop, after all these years, would have some kind of scripting language which also supports some digital watermarking, but I've just never dabbled in that realm.
And, of course, I guess another solution would be for her to not provide the end-result file in Photoshop format, but to export it as a flat image. But I'm still intrigued by the notion of being able to "fuzzily" compare two photoshop files or images to find the ones which are too similar in certain aspects (color histograms, where the edges are, level of noise, whatever).
Anybody else have any clever ideas for this?