Results 21 to 30 of about 1,694 (248)

Optimizing Food Processing through a New Approach to Response Surface Methodology

open access: yesFood Science of Animal Resources, 2023
In a previous study, ‘response surface methodology (RSM) using a fullest balanced model’ was proposed to improve the optimization of food processing when a standard second-order model has a significant lack of fit.
Sungsue Rheem
doaj   +1 more source

Application of the Response Surface Methodology to Optimize the Fermentation Parameters for Enhanced Docosahexaenoic Acid (DHA) Production by Thraustochytrium sp. ATCC 26185

open access: yesMolecules, 2018
The aim of this study was to determine the cumulative effect of fermentation parameters and enhance the production of docosahexaenoic acid (DHA) by Thraustochytrium sp. ATCC 26185 using response surface methodology (RSM).
Kang Wu   +4 more
doaj   +1 more source

Measure of rotatability of modified five-level second-order rotatable design using supplementary difference sets

open access: yesStatistical Theory and Related Fields, 2019
Rotatability is a desirable quality of fitting response surface experimental designs. The property states that the variance of the estimated response made from the Taylor’s series expansion are constant on circles, spheres and hyper-spheres about the ...
Haron Mutai Ng’eno
doaj   +1 more source

Design of Experiments (DoE) applied to Pharmaceutical and Analytical Quality by Design (QbD)

open access: yesBrazilian Journal of Pharmaceutical Sciences, 2018
According to Quality by Design (QbD) concept, quality should be built into product/method during pharmaceutical/analytical development. Usually, there are many input factors that may affect quality of product and methods. Recently, Design of Experiments (
Isa Martins Fukuda   +4 more
doaj   +1 more source

The nonstandard algorithm for constructing efficient conjoint experimental designs [PDF]

open access: yesYugoslav Journal of Operations Research, 2008
Conjoint analysis is a research technique for measuring consumer preferences, and it is a method for simulating consumers' possible reactions to changes in current products or newly introduced products into an existing competitive market. One of the most
Kuzmanović Marija
doaj   +1 more source

A Multi-Fidelity Successive Response Surface Method for Crashworthiness Optimization Problems

open access: yesApplied Sciences, 2023
Due to the high computational burden and the high non-linearity of the responses, crashworthiness optimizations are notoriously hard-to-solve challenges.
Pietro Lualdi, Ralf Sturm, Tjark Siefkes
doaj   +1 more source

On comparing the prediction variances of some central composite designs in spherical regions: a review

open access: yesStatistica, 2013
Three second-order response surface designs, namely: central composite design, small composite design and minimum-run resolution V design are compared for factors 3 to 7 in spherical regions using the G- and I- optimality criteria.
Polycarp E. Chigbu   +2 more
doaj   +1 more source

Optimization of Ultrasound-Assisted Extraction of Vitamin C from Capsella Bursa-pastoris by Response Surface Methodology

open access: yesLiang you shipin ke-ji, 2022
The optimum ultrasound-assisted extraction parameters of Vitamin C from Capsella bursa-pastoris was studied by Response Surface Methodology. The main factors of the extraction were selected by the Confounded Fractional Factorial test.
WU Hai-yan   +4 more
doaj   +1 more source

Evaluation of Activated Carbon and Platinum Black as High-Capacitance Materials for Platinum Electrodes

open access: yesSensors, 2022
The application of direct current (DC) produces a rapid and reversible nerve conduction block. However, prolonged injection of charge through a smooth platinum electrode has been found to cause damage to nervous tissue.
Andrew Goh   +6 more
doaj   +1 more source

Row-Column Response Surface Designs

open access: yesJournal of Quality Technology, 2003
Response surface methodology (RSM) is a set of techniques for empirically studying processes by designing experiments, modelling the resulting data, and interpreting the fitted models. Factorial experiments are used to investigate the effects of proc..
Gilmour, S. G., Trinca, L. A.
openaire   +3 more sources

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