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The most common types of single-sheet brochures are the bi-fold (a single sheet printed on both sides and folded into halves) and the tri-fold (the same, but folded into thirds). A bi-fold brochure results in four panels (two panels on each side), while a tri-fold results in six panels (three panels on each side). [5]
In drug development and medical device development [1] the Investigator's Brochure (IB) is a comprehensive document summarizing the body of information about an investigational product ("IP" or "study drug") obtained during a drug trial. The IB is a document of critical importance throughout the drug development process and is updated with new ...
An exposure sheet (also referred to as camera instruction sheet, dope sheet or X-sheet) is a traditional animation tool that allows an animator to organize their thinking and give instructions to the camera operator on how the animation is to be shot.
The study of the exposome requires a multi-disciplinary approach that combines advances in exposure assessment, bioinformatics, and systems biology. As such, researchers have developed a range of key methodologies to measure and analyze the exposome – from exposure assessment techniques, analytical tools, to computational approaches.
The word pamphlet for a small work (opuscule) issued by itself without covers came into Middle English c. 1387 as pamphilet or panflet, generalized from a twelfth-century amatory comic poem with a satiric flavor, Pamphilus, seu de Amore ('Pamphilus: or, Concerning Love'), written in Latin.
Exposure is a combination of the length of time and the illuminance at the photosensitive material. Exposure time is controlled in a camera by shutter speed, and the illuminance depends on the lens aperture and the scene luminance. Slower shutter speeds (exposing the medium for a longer period of time), greater lens apertures (admitting more ...
In 2-fold cross-validation, we randomly shuffle the dataset into two sets d 0 and d 1, so that both sets are equal size (this is usually implemented by shuffling the data array and then splitting it in two). We then train on d 0 and validate on d 1, followed by training on d 1 and validating on d 0.