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Chloroacetic acid, industrially known as monochloroacetic acid (MCA), is the organochlorine compound with the formula Cl C H 2 CO 2 H. This carboxylic acid is a useful building block in organic synthesis. It is a colorless solid. Related compounds are dichloroacetic acid and trichloroacetic acid.
In statistics, multiple correspondence analysis (MCA) is a data analysis technique for nominal categorical data, used to detect and represent underlying structures in a data set. It does this by representing data as points in a low-dimensional Euclidean space .
Methyl cyanoacrylate (MCA; also sometimes referred to as α-cyanoacrylate or alpha-cyanoacrylate) [3] is an organic compound that contains several functional groups: a methyl ester, a nitrile, and an alkene. It is a colorless liquid with low viscosity. Its chief use is as the main component of cyanoacrylate glues.
Cyanoacrylate Technical Data Sheet; U.S. patent 2,768,109 Alcohol-Catalyzed α-Cyanoacrylate Adhesive Compositions, filed June 1954, issued October 1956. 3M Activators, Primers and Debonder; Application note on measuring cure kinetics of cyanoacrylate glues [permanent dead link
The 30th edition (1996) was renamed CRC Standard Mathematical Tables and Formulae, with Daniel Ian Zwillinger as the editor-in-chief. [2] The 33rd edition (2018) was renamed CRC Standard Mathematical Tables and Formulas. [3]
A multichannel analyzer (MCA) is an instrument used in laboratory and field applications to analyze an input signal consisting of voltage pulses. [1] MCAs are used extensively in digitizing various spectroscopy measurements, especially those related to nuclear physics , including various types of spectroscopy (alpha-, beta-, and gamma ...
MCA was originally developed to describe the control in metabolic pathways but was subsequently extended to describe signaling and genetic networks. MCA has sometimes also been referred to as Metabolic Control Theory, but this terminology was rather strongly opposed by Henrik Kacser , one of the founders [ citation needed ] .
The term decision matrix is used to describe a multiple-criteria decision analysis (MCDA) problem. An MCDA problem, where there are M alternative options and each needs to be assessed on N criteria, can be described by the decision matrix which has N rows and M columns, or M × N elements, as shown in the following table.