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Google Earth. Google Earth is a computer program that renders a 3D representation of Earth based primarily on satellite imagery. The program maps the Earth by superimposing satellite images, aerial photography, and GIS data onto a 3D globe, allowing users to see cities and landscapes from various angles. Users can explore the globe by entering ...
Substituting these in the above equation, with Earth mass M = 5.974 × 10 24, G = 6.674 × 10 −11, and c = 2.998 × 10 8 (all in SI units), gives: This represents the fraction by which the clocks at satellites' altitude tick faster than on the surface of the Earth.
A CAGE code is a unique identifier to label an entity (that is, a specific government agency or corporation at a specific site) that is a CDA, ODA, or MFR of the part defined by the drawing. One corporation can have many CAGE codes, as can one government, because each division, department, and site (campus) can have its own CAGE code.
Active. Google Developers (previously Google Code) is Google 's site for software development tools and platforms, application programming interfaces (APIs), and technical resources. The site contains documentation on using Google developer tools and APIs—including discussion groups and blogs for developers using Google's developer products.
Minnesota and Pennsylvania ranked among the highest quality care but had some of the highest disparities across racial and ethnic lines. These disparities worsen health outcomes within already ...
Diagram illustrating the flange focal length of an SLR–type and a mirrorless–type camera. For an interchangeable lens camera, the flange focal distance (FFD) (also known as the flange-to-film distance, flange focal depth, flange back distance (FBD), flange focal length (FFL), back focus [1] or register, depending on the usage and source) of a lens mount system is the distance from the ...
Building a $42,000 income stream on $300 per month. If you consistently invest $300 per month in the Schwab U.S. Dividend Equity ETF, you'll eventually find yourself with a significant holding. In ...
Type I and type II errors. In statistical hypothesis testing, a type I error, or a false positive, is the rejection of the null hypothesis when it is actually true. For example, an innocent person may be convicted. A type II error, or a false negative, is the failure to reject a null hypothesis that is actually false.