Sentence examples for by a multiple response from inspiring English sources

Exact(2)

Carbon and nitrogen constituents of the culture medium were optimized using a 22 factorial design with central point followed by a multiple response optimization coupled to the desirability function approach.

And flexibility of working hours was measured by a multiple response question about one's work schedule or working time arrangement.

Similar(58)

Most women reported receiving some antenatal care services from a nurse or midwife (72%), while 21% received antenatal care services from a HEW, and 19% reported being seen by a doctor (multiple responses allowed; data not shown).

An experimental mixture design coupled with data analysis by means of both response surface methodology (RS M and artificial neural networks (ANNs) followed by multiple response optimization through a desirability function, was applied to the production of δ-endotoxins from Bacillus thuringiensis var.

Second, the influence of cross-drug response (either sensitivity or resistance to all assayed therapies) was evaluated by calculating a multiple drug response index (MDRI).

The reasons for considering PPI therapy to be optimized were recorded by physicians (multiple response possible); the 'maximum dose' had been reached in 86% of patients, 46% of patients had tried a different brand with no improvement, improvement by changing PPI was considered unlikely due to symptom pattern in 29% and PPI therapy was considered optimized due to other reasons in 9% of patients.

A follow up question: " How have you been personally affected by HIV/AIDS?" with multiple response options was then asked to those who answered "yes" to the first one.

Further, Central Composite Design (CCD) was used to optimize the most significant medium constituents and the optimum values estimated by multiple response optimization were 0.5%Tween-80Tween-80(NH4 2HPO4, and 0.1% MgSO4·7H2O, with a predicted value of 5038.86 IU ml−1 lipase-production.

Response surface methodology and artificial neural networks, followed by multiple response optimization using desirability function approach, were applied to individually and simultaneously evaluate fatty acid methyl ester (FAME) yield and exergy efficiency in process of the in-situ transesterification.

Grey relational analysis was done to deal with the multiple performances of the manipulator by converting multiple responses into a single response with a Grey relational grade.

Response probability was assessed by a multiple logistic regression with response as dependent variable (yes/no) and eight demographic and practice related variables as predictors.

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