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This paper has two halves. First, I piece together what we know about Margaret Thatcher's training and employment as a scientist. She took science subjects at school; she studied chemistry at Oxford, arriving during World War II and coming under the influence (and comment) of two excellent women scientists, Janet Vaughan and Dorothy Hodgkin. She did a fourth-year dissertation on X-ray crystallography of gramicidin just after the war. She then gathered four years' experience as a working industrial chemist, at British Xylonite Plastics and at Lyons. Second, my argument is that, having lived the life of a working research scientist, she had a quite different view of science from that of any other minister responsible for science. This is crucial in understanding her reaction to the proposals-associated with the Rothschild reforms of the early 1970s-to reinterpret aspects of science policy in market terms. Although she was strongly pressured by bodies such as the Royal Society to reaffirm the established place of science as a different kind of entity-one, at least at core, that was unsuitable to marketization-Thatcher took a different line.

This film by Ken Gumbs tackles the issue of pending greater-than-human artificial intelligence and the possible ramifications. Different individuals with different backgrounds are interviewed on the subject, including a theologian, a philosopher, a brain builder and a cyborg. A wide spectrum of topics are discussed, including trans-humanism, mind-machine mergers, uploading, and artificial super-intelligence.

There are differences between the group's demonstrations. For crystals, Tittel's group used thulium-doped lithium niobate, whereas Gisin's group opted for neodymium-doped yttrium silicate. In addition, a different type of laser set-up has favoured Gisin's group, which reports a maximum storage time of some 200 ns at an efficiency of more than 20%; Tittel's group reports a storage time of 7 ns at an efficiency of 2%. On the other hand, the quantum memory of Tittel's group functions at a bandwidth of 5 GHz - some 40 times greater than Gisin's group - which means, potentially, far more information could be sent in the same time.

It's hard not to get lost in a data projection like the NYT's Mapping America: Every City, Every Block, which allows you to parse through 20 or so different projections of the American Community Survey data over the last five years from the Census Bureau.  When you can see the geographic correlations of education levels and income (check out the dividing line at 16th street in both cases), it's a stark reminder of the different Washingtons that exist. Be sure also to check out DCist's initial take (focused on demography and increase/decrease) and GGW's initial take (focused on population shift between wards) This is a data goldmine, and the sort of thing that yours truly is absolutely in love with. Parse through this with us over the next couple weeks.

"In nineteenth‐century America, there was no such person as a "professional scientist." There were professionals and there were scientists, but they were very different. Professionals were men of science who engaged in commercial relations with private enterprises and took fees for their services. Scientists were men of science who rejected such commercial work and feared the corrupting influences of cash and capitalism. Professionals portrayed themselves as active and useful members of an entrepreneurial polity, while scientists styled themselves as crusading reformers, promoters of a purer science and a more research‐oriented university. It was this new ideology, embodied in these new institutions, that spurred these reformers to adopt a special name for themselves-"scientists." One object of this essay, then, is to explain the peculiar Gilded Age, American origins of that ubiquitous term. A larger goal is to explore the different social roles of the professional and the scientist. By attending to the particular vocabulary employed at the time, this essay tries to make clear why a "professional scientist" would have been a contradiction in terms for both the professional and the scientist in nineteenth‐century America. "

A new new brain imaging system that can identify a subject's simple thoughts may lead to clearer diagnoses for Alzheimer's disease or schizophrenia - as well as possibly paving the way for reading people's minds. Michael Greicius at Stanford University in California and colleagues used functional magnetic resonance imaging (fMRI) to identify patterns of brain activity associated with different mental states. He asked 14 volunteers to do one of four tasks: sing songs silently to themselves; recall the events of the day; count backwards in threes; or simply relax. Participants were given a 10-minute period during which they had to do this. For the rest of that time they were free to think about whatever they liked. The participants' brains were scanned for the entire 10 minutes, and the patterns of connectivity associated with each task were teased out by computer algorithms that compared scans from several volunteers doing the same task. This differs from previous experiments, in which the subjects were required to perform mental activities at specific times and the scans were then compared with brain activity when they were at rest. Greicius reasons his method encourages "natural" brain activity more like that which occurs in normal thought.

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Harvard researchers have created nanodevices made of DNA that self-assemble and can be programmed to move and change shape on demand. The nanodevice structure is based on the principle of tensegrity: its strength and stability results from the way it distributes and balances the counteracting forces of tension and compression. This new technology could lead to nanoscale medical devices and drug delivery systems, such as virus mimics that introduce drugs directly into diseased cells. Or it could one day be used to reprogram human stem cells to regenerate different kinds of injured organs and tissue.

As computing power continues to move from the desktop to portable devices, the nature of communications networks will change radically. A network in which devices are regularly being added and removed, and where the strength of the connections between the devices fluctuates with their movement, requires much different protocols from those that govern relatively stable networks, like the Internet.

Apomediation is a new scholarly socio-technological term that characterizes the process of disintermediation (intermediaries are middlemen or "gatekeeper", e.g. health professionals giving "relevant" information to a patient, and disintermediation means to bypass them), whereby the former intermediaries are functionally replaced by apomediaries, i.e. network/group/collaborative filtering processes [Eysenbach, 2008 [WebCite] and 2007b]. The difference between an intermediary and an apomediary is that an intermediary stands "in between" (latin: inter- means "in between") the consumer and information/service, i.e. is absolutely necessary to get a specific information/service. In contrast, apomediation means that there are agents (people, tools) which "stand by" (latin: apo- means separate, detached, away from) to guide a consumer to high quality information/services/experiences, without being a prerequisite to obtain that information/service in the first place. The switch from an intermediation model to an apomediation model has broadimplications for example for the way people judge credibility, as hypothesized and elaborated in more detail elsewhere [

Willerth and her team studied approximately 15,000 different versions of the virus-something that has never been done before. This information has allowed them to locate the specific genes of the virus that were resistant to the drugs-knowledge that could ultimately help researchers develop more effective treatments for HIV.

Researchers in EPFL's Computer Vision Laboratory developed a computer-based modeling service that generates a 3D image from up to thousands of 2D shots, with all the processing done in the cloud. Since April, the EPFL startup Pix4D has been offering the modeling service with a fourth dimension: time. Now, individuals and small businesses looking for fast, cheap, large-scale 3D models can get them without investing in heavy processing, the company states. With Pix4D, users upload a series of photos of an object, and within 30 minutes they have a 3D image. The software defines "points of interest" from among the photos, or common points of high-contrast pixels. Next, the program pastes the images together seamlessly by matching up the points of interest. Much in the same way our two eyes work together to calculate depth, the software computes the distance and angle between two or more photos and lays the image over the model appropriately, creating a highly accurate 3D model that avoids the time intensive, "point by point" wireframe method. With Pix4D's 3D models, you can navigate in all directions as well as change the date on a timeline to see what a place looked like at different times of the year. The company is collaborating with several drone makers (including another EPFL startup,senseFly) to market their software as a package with senseFly's micro aerial vehicles, or autonomous drones. Pix4D's time element avoids waiting for Google to update its satellite data or for an expensive plane to fly by and take high-resolution photos. Farmers, for example, can now send relatively inexpensive flying drones into the air to take pictures as often as they like, allowing them to survey the evolution of their crops over large distances and long periods of time. And since the calculations are done on a cloud server, the client doesn't need a powerful computer of his or her own.

Researchers at LaserMotive have devised a way to beam lasers to power military bases and drones, possibly helping to save lives, since delivering fuel to battle zones can be a dangerous task in wartime. Although still largely in the R&D stage, laser power beaming has many other potential uses, which include powering vehicles, replacing electric power wiring and transmission lines in difficult places, and even launching rockets into orbit. The beam is about 8 inches wide as it leaves the transmitter - and then spreads wider as it travels. The beam emitter is located at a ground-based unit and operated by a person, who could control it from the same location or remotely from an entirely different place altogether. The operator uses the machine to fire the laser beam at a photovoltaic collector located on an unmanned autonomous vehicle (UAV), small plane, or helicopter. The current range of the system is about a kilometer. When the laser hits the photovoltaic device, the photons in the light beam are converted to electricity to fly the AUV. Topics: AI/Robotics | Energy | Physics/Cosmology | Survival/Defense

With its expansive range and unprecedented potential for anonymity, (the Internet gives voice to our deepest urges and most uninhibited thoughts. Inspired by the wealth of unfettered expression available online, neuroscientists Ogi Ogas and Sai Gaddam, who met as Ph.D. candidates at Boston University, began plumbing a few chosen search engines (including Dogpile and AOL) to create the world's largest experiment in sexuality in 2009. Quietly tapping into a billion Web searches, they explored the private activities of more than 100 million men and women around the world. The result is the first large-scale scientific examination of human sexuality in more than half a century, since biologist Alfred Kinsey famously interviewed more than 18,000 middle-class Caucasians about their sexual behavior and published the Kinsey reports in 1948 and 1953. Building on the work of Kinsey, neuroscientists have long made the case that male and female sexuality exist on different planes. But like Kinsey himself, they have been hampered by the dubious reliability of self-reports of sexual behavior and preferences as well as by small sample sizes. That is where the Internet comes in. By accessing raw data from Web searches and employing the help of Alexa-a company that measures Web traffic and publishes a list of the million most popular sites in the world-Ogas and Gaddam shine a light on hidden desire, a quirky realm of lust, fetish, and kink that, like the far side of the moon, has barely been glimpsed. Here is a sampling of their fascinating results, selected from their book, A Billion Wicked Thoughts.

3D printing is a form of additive manufacturing technology where a three dimensional object is created by laying down successive layers of material. 3D printers are generally faster, more affordable and easier to use than other additive manufacturing technologies. 3D printers offer product developers the ability to print parts and assemblies made of several materials with different mechanical and physical properties in a single build process. Advanced 3D printing technologies yield models that can serve as product prototypes.

The Failure Mode Effects Analysis breaks down the analysis of complex software functions into manageable subsystems and modules. It can have a number of variations which address different aspects of the device. www.compliance4all.com

Unification theory with no extra dimensions. The first part unifies the strong nuclear force with the gravitational force in a mathematical way; the quantum vacuum is treated as a deformable system by the strong nuclear force. The second part unifies the nuclear force with the quantum vacuum in a hypothetical structure; the quantum vacuum is treated as a supersymmetric and metastable system with properties related to the different types of particles' motion.