Data is clearly not what it used to be! Organizations of all types are finding new uses for data as part of their digital transformations. Examples abound in every industry, from jet engines to grocery stores, for data becoming key to competitive advantage. I call this new data because it is very different from the financial and ERP data that we are most familiar with. That old data was mostly transactional, and privately captured from internal sources, which drove the client/server revolution.
Containers offer the promise of portability and agility: the ability to move your applications from a developer's laptop to your internal datacenter, and out to different cloud providers with little trouble right? They offer the ability to spin up new, custom versions of your software to quickly meet contractual deadlines which were signed last minute, or maybe even provide your customers with self service. They start faster, and are easier to move around than virtual machines. Right?
by Angela Guess A recent press release states, ?Researchers from the Department of Energy?s SLAC National Accelerator Laboratory and Stanford University have for the first time shown that neural networks ? a form of artificial intelligence ? can accurately analyze the complex distortions in spacetime known as gravitational lenses 10 million times faster than traditional [?]
Amazon?s Elastic Cloud Computing (EC2 has changed quite a bit in the last five years, so whether you are new to EC2 or an old hand, it?s worth a look at how to launch your own EC2 instances today. (For a deeper primer on EC2, check out Sean Hall?s EC2 tutorial at InfoWorld from 2012, but note he?s doing things the command-line way, whereas today you can do things the graphical way, as this post shows. Still, if you want to know what Route 53 and so on mean, read Hall?s article.)
The first ever close-up images of Jupiter's gargantuan hurricane, the Great Red Spot, are beginning to trickle through from NASA's Juno spacecraft after it completed its historic fly-by a few days ago.
When a burst of light ejects an electron from an atom, the later detection of two charged particles masks a great deal of intermittent quantum mechanical complexity. Villeneuve et al. provide a striking look at the wavelike properties of the electron just as it emerges from neon, expelled by two photons from an attosecond pulse train in a strong infrared field. The phase distribution displays the characteristic three-node structure of an f-wave, which the Stark shift from the strong field appears to select with a single magnetic quantum number of 0.
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Light from a background star is deflected by the gravitational field of the Sun. This effect was used in 1919 to provide some of the first evidence for general relativity. Sahu et al. applied the concept to another star: a nearby white dwarf called Stein 2051 B, which passed close in front of a more distant normal star (see the Perspective by Oswalt). The authors measured the tiny shifts in the apparent position of the background star, an effect called astrometric microlensing. The apparent motion matched the predictions of general relativity, which allowed the authors to determine the mass of the white dwarf.
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The immune system plays a critical role not only in fending off pathogen attack, but also in cancer surveillance, and more recently as a tool in immunotherapy-based treatments. Immune cell functions are tightly regulated by essential transcription factors such as NF-?B and NFAT. Monitoring immune cell activity?including phenotyping immune cell subsets, tracking cell proliferation, and measuring cytokine production?can provide insights into the overall status of immune function in patients, particularly those undergoing immunosuppression after transplants, enduring cancer treatment, or suffering from autoimmune disease or other pathologies that affect the immune system. Imaging flow cytometry (IFC) has emerged as a useful and efficient tool for studying the signaling pathways in immunophenotypically defined subpopulations of immune cells. This technique enables quantitative image analysis of the intracellular localization of the signaling intermediaries NF-?B and NFAT as parameters of immune activity. This webinar will introduce viewers to the process of using IFC to determine subcellular localization of biomarkers, including a discussion of how IFC can help to assess the activity of transcription factors, or the drug-induced stimulation or inhibition thereof, in clinical samples.
Fluorescence microscopy allows specific target detection down to the level of single molecules and has become an enabling tool in biological research. To transduce the biological information to an imageable signal, we have developed a variety of fluorescent probes, such as organic dyes or fluorescent proteins with different colors. Despite their success, a limitation on constructing small fluorescent probes is the lack of a general framework to achieve precise and programmable control of critical optical properties, such as color and brightness. To address this challenge, we introduce metafluorophores, which are constructed as DNA nanostructure?based fluorescent probes with digitally tunable optical properties. Each metafluorophore is composed of multiple organic fluorophores, organized in a spatially controlled fashion in a compact sub?100-nm architecture using a DNA nanostructure scaffold. Using DNA origami with a size of 90 × 60 nm2, substantially smaller than the optical diffraction limit, we constructed small fluorescent probes with digitally tunable brightness, color, and photostability and demonstrated a palette of 124 virtual colors. Using these probes as fluorescent barcodes, we implemented an assay for multiplexed quantification of nucleic acids. Additionally, we demonstrated the triggered in situ self-assembly of fluorescent DNA nanostructures with prescribed brightness upon initial hybridization to a nucleic acid target.