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Finally, note that the benzodiazepine core is a privileged scaffold, which has been used to derive drugs with diverse activity that is not limited to the GABA A modulatory action of the classical benzodiazepines, [60] such as devazepide and tifluadom, however these have not been included in the list below. 2,3-benzodiazepines such as tofisopam ...
Given any list as an input: Count the number of elements. Given a list of numbers: Find the k largest or smallest elements, k given in advance. Find the sum, mean, variance and standard deviation of the elements of the list. See also Algorithms for calculating variance. Given a list of symbols from an alphabet of k symbols, given in advance.
Benzodiazepines (BZD, BDZ, BZs), colloquially known as "benzos", are a class of depressant drugs whose core chemical structure is the fusion of a benzene ring and a diazepine ring. They are prescribed to treat conditions such as anxiety disorders , insomnia , and seizures .
An algorithm is fundamentally a set of rules or defined procedures that is typically designed and used to solve a specific problem or a broad set of problems.. Broadly, algorithms define process(es), sets of rules, or methodologies that are to be followed in calculations, data processing, data mining, pattern recognition, automated reasoning or other problem-solving operations.
The Yamartino method, introduced by Robert J. Yamartino in 1984, solves both problems [2] A further discussion of the Yamartino method, along with other methods of estimating the standard deviation of wind direction can be found in Farrugia & Micallef. It is possible to calculate the exact standard deviation in one pass.
At higher doses they may result in slurred speech, staggering gait, poor judgment, and slow, uncertain reflexes. Doses of sedatives such as benzodiazepines, when used as a hypnotic to induce sleep, tend to be higher than amounts used to relieve anxiety, whereas only low doses are needed to provide a peaceful effect.
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Standardization of the coefficient is usually done to answer the question of which of the independent variables have a greater effect on the dependent variable in a multiple regression analysis where the variables are measured in different units of measurement (for example, income measured in dollars and family size measured in number of ...