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The substantial similarity standard is used for all kinds of copyrighted subject matter: books, photographs, plays, music, software, etc. It may also cross media, as in Rogers v. Koons, where a sculptor was found to have infringed on a photograph. [1] [page needed] Substantial similarity is a question of fact that is decided by a jury.
The following standardized tests are designed and/or administered by state education agencies and/or local school districts in order to measure academic achievement across multiple grade levels in elementary, middle and senior high school, as well as for high school graduation examinations to measure proficiency for high school graduation.
The Abstraction-Filtration-Comparison test (AFC) is a method of identifying substantial similarity for the purposes of applying copyright law. In particular, the AFC test is used to determine whether non-literal elements of a computer program have been copied by comparing the protectable elements of two programs.
Similarity measures play a crucial role in many clustering techniques, as they are used to determine how closely related two data points are and whether they should be grouped together in the same cluster. A similarity measure can take many different forms depending on the type of data being clustered and the specific problem being solved.
Students take different tests according to their grade level. In addition to these tests, students may be required to take tryouts and pilot tests. The following list is current as of spring 2017. It is required for a student to pass the English Language Arts, Mathematics and Science and Technology/Engineering portions of the Grade 10 test in ...
The Common Core State Standards Initiative, also known as simply Common Core, was an American, multi-state educational initiative begun in 2010 with the goal of increasing consistency across state standards, or what K–12 students throughout the United States should know in English language arts and mathematics at the conclusion of each school grade.
The substantial presence rule can be complex, and examples can help make it concrete. Let’s say you are a citizen and resident of a country other than the United States.
Given a matrix of rank dissimilarities between a set of samples, each belonging to a single site (e.g. a single treatment group), the ANOSIM tests whether we can reject the null hypothesis that the similarity between sites is greater than or equal to the similarity within each site. The test statistic R is calculated in the following way:
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