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Jul 13, 2024, 2:52:51 AM7/13/24
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Darlene Storm (not her real name) is a freelance writer with a background in information technology and information security. It seems wise to keep an eye on new hacks and holes, to know what is possible and how vulnerable you might be. Most security news is about insecurity, hacking, cybersecurity and even privacy threats, bordering on scary. But when security is done right, it's a beautiful thing...sexy even. Security is sexy.

Melissa Block talks to Steve Henn about events in the world of high technology that are forecast to occur this week. Henn talks about a social data mining program called "Riot" that was developed by Raytheon.

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ROBERT SIEGEL, HOST: From NPR News, this is ALL THINGS CONSIDERED. I'm Robert Siegel.MELISSA BLOCK, HOST: I'm Melissa Block. And we end the hour with All Tech Considered.(SOUNDBITE OF MUSIC)BLOCK: As always, we kick things off with a look ahead at the week in tech. The big story this week comes from defense contracting giant Raytheon. It has developed data-mining software that tracks people and predicts their future locations using posts to social networks.NPR's Steve Henn joins us to talk about a software called RIOT, which stands for Rapid Information Overlay Technology. Steve, first, how did RIOT come to light?STEVE HENN, BYLINE: Well, for years now, the federal government has been pretty open about its desire for software that could help law enforcement sift through social media sites like Facebook. RIOT looks like it was developed to meet some of those needs, but it captured the limelight this week because a reporter at The Guardian newspaper in England got a hold of a video that demonstrates exactly what the software can do.BLOCK: And what is that? What can it do?HENN: Well, quite a bit, actually. In the demo video, Brian Urch, from Raytheon, shows off how it can piece together a pretty detailed map of where someone has traveled over time by analyzing posts on sites like Facebook, Foursquare and Twitter. In the video, Brian's guinea pig is a co-worker of his named Nick.BRIAN URCH: One of the things we've noticed is that when people take pictures and post them on the Internet using their smartphones that the phone will actually embed the latitude and longitude into the exit header data of that image. So we're going to take advantage of that by bringing down all the pictures where Nick has checked in and then placing those on Google Earth.HENN: What they got was a pretty fine-grained look at how Nick was moving around the country and the city where he lives. And with a tiny bit of analysis, they found patterns in his behavior like when he was most likely to work out.URCH: 6 a.m. appears to be obviously the most frequently visited time at the gym. So if you ever did want to try to get a hold of Nick or maybe get a hold of his laptop, you might want to visit the gym at 6 a.m. on Monday.BLOCK: So, Steve, that's the video for this data-mining software. I'm a little confused about how this is revolutionary, if it is. I mean, it's basically just consolidating a lot of information that's out there on these social networks that you mentioned - Foursquare, Facebook and Twitter.HENN: Yeah. That's right. That's what it does. And independent hackers built very similar software several years ago to try to demonstrate to people that this would be possible. I think what's been alarming to some is that it's a defense contractor that's making the software. And that if it is distributed and used widely, which it is not, yet, it would allow law enforcement to run these kinds of analyses over large groups of people very quickly all at once. It's sort of stalking at scale.And the other thing that's alarming about this is because we're all putting our information on these social networks voluntarily, there are very few checks built into the law that would prevent any organization from doing that. We're basically writing little newspaper columns about what we do every day. And so if someone builds software that aggregates all that information and analyzes it across thousands or even millions of people, it's technically pretty easy to do, but it gives them a lot of insight and actually a lot of predictive ability about how any of us are going to behave or where we might be or what we might do.BLOCK: OK. NPR's tech correspondent Steve Henn. Steve, thanks so much.HENN: My pleasure.

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Novel commercially available software has enabled registration of both CT and MRI images to rapidly fuse with X-ray fluoroscopic imaging. We describe our initial experience performing cardiac catheterisations with the guidance of 3D imaging overlay using the VesselNavigator system (Philips Healthcare, Best, NL). A total of 33 patients with CHD were included in our study. Demographic, advanced imaging, and catheterisation data were collected between 1 December, 2016 and 31 January, 2019. We report successful use of this technology in both diagnostic and interventional cases such as placing stents and percutaneous valves, performing angioplasties, occlusion of collaterals, and guidance for lymphatic interventions. In addition, radiation exposure was markedly decreased when comparing our 10-15-year-old coarctation of the aorta stent angioplasty cohort to cases without the use of overlay technology and the most recently published national radiation dose benchmarks. No complications were encountered due to the application of overlay technology. 3D CT or MRI overlay for CHD intervention with rapid registration is feasible and aids decisions regarding access and planned angiographic angles. Operators found intraprocedural overlay fusion registration using placed vessel guidewires to be more accurate than attempts using bony structures.

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If you have questions about the Design Review process or Overlay District standards, you may contact Community Development at (319) 286-5041 or communityd...@cedar-rapids.org.

For information on developing in Cedar Rapids, please visit Development Services

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The MIT Press has announced the launch of Rapid Reviews: COVID-19 (RR:C19), an open access, rapid-review overlay journal that will accelerate peer review of Covid-19-related research and deliver real-time, verified scientific information that policymakers and health leaders can use.

Using artificial intelligence tools, a global team will identify promising scholarship in preprint repositories, commission expert peer reviews, and publish the results on an open access platform in a completely transparent process. The journal will strive for disciplinary and geographic breadth, sourcing manuscripts from all regions and across a wide variety of fields, including medicine; public health; the physical, biological, and chemical sciences; the social sciences; and the humanities. RR:C19 will also provide a new publishing option for revised papers that are positively reviewed.

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