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Homogenization can have adverse effects, for example on proteins, so producers must take care not to over-process materials. [ 9 ] [ 17 ] Stability of a certified reference material is also important, so a range of strategies may be used to prepare a reference material that is more stable than the natural material it is prepared from.
Robert Gaskins, one of the creators of PowerPoint, says he publicly demonstrated that use for the first time at a large Microsoft meeting held in Paris on February 25, 1992, by using an unreleased development build of PowerPoint 3.0 running on an early pre-production sample of a powerful new color laptop and feeding a professional auditorium ...
The formal definition of calibration by the International Bureau of Weights and Measures (BIPM) is the following: "Operation that, under specified conditions, in a first step, establishes a relation between the quantity values with measurement uncertainties provided by measurement standards and corresponding indications with associated measurement uncertainties (of the calibrated instrument or ...
The USA-based Association of Technology, Management, and Applied Engineering (ATMAE), accredits selected collegiate programs in Industrial Technology in the USA. An instructor or graduate of an Industrial Technology program may choose to become a Certified Technology Manager (CTM) by sitting for a rigorous exam administered by ATMAE covering Production Planning & Control, Safety, Quality, and ...
A calibration curve plot showing limit of detection (LOD), limit of quantification (LOQ), dynamic range, and limit of linearity (LOL).. In analytical chemistry, a calibration curve, also known as a standard curve, is a general method for determining the concentration of a substance in an unknown sample by comparing the unknown to a set of standard samples of known concentration. [1]
There are two main uses of the term calibration in statistics that denote special types of statistical inference problems. Calibration can mean a reverse process to regression, where instead of a future dependent variable being predicted from known explanatory variables, a known observation of the dependent variables is used to predict a corresponding explanatory variable; [1]
It was established in 1975 and published by M.E. Sharpe and cosponsored by the Section on Public Performance and Management of the American Society for Public Administration [1] and the National Center for Public Productivity at the School of Public Affairs and Administration (Rutgers University-Newark). [2]
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