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Several SNP genotyping array approaches have been developed with variable success.
Since the late 1970s, several alternative procedures have been developed with variable success.
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A simple equation is developed with variables the flow rate, microchannel dimensions, concentrations, and the active area-ratio increase when a rough microchannel is used.
Twelve beams were developed with variables including different replacement levels of fine aggregate volume by CR (0%–35%), SF volume fractions (0%, 0.35%, and 1%), and SF lengths (35 and 60 mm).
Also the functionalities of dispersion coefficient of bubble motion and velocity characteristic factor have been developed with operating variables.
To increase the particle-measurement size range of a differential mobility analyzer (DMA), a new type of DMA has been developed with a continuously variable column length L (i.e. nominal distance between the aerosol inlet and outlet) between 0 and 300 mm.
New CART models were developed with 18 variables based on previous literature.
A multiple logistic regression model was developed with several variables being independent predictors of intention to practice self-medication.
Logistic regression models were developed with the dependent variable being the probability of dying up to seven days post discharge from hospital [ 24].
The neural network model was developed with the training variables: critical temperature, critical pressure, critical volume, acentric factor, dipole moment and temperature with the learning method back propagation of errors according to the best prediction error.
A 2 5-1) fractional factorial design was developed with the following independent variables: fluidization air flow rate (100 140 m3/h), spray pressure (4 6 bar), drying air temperature(40 60 °C), maltodextrin concentration (10 30% w/v) and hydroxyethylcellulose concentration (0 0.2% w/v).
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