Results 301 to 310 of about 12,781,850 (371)
Optimizing methylene blue adsorption conditions on hydrothermally synthesized NaX zeolite through a full two-level factorial design. [PDF]
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Catalysis from A to Z, 2010
Traditional research methods generally study the effect of one variable at a time, because it is statistically easier to manipulate. However, in many cases, two factors may be interdependent, and it is impractical or false to attempt to analyze them in ...
M. Shuttleworth
openaire +2 more sources
Traditional research methods generally study the effect of one variable at a time, because it is statistically easier to manipulate. However, in many cases, two factors may be interdependent, and it is impractical or false to attempt to analyze them in ...
M. Shuttleworth
openaire +2 more sources
Journal of Pharmacy & Pharmacognosy Research, 2021
Context: Full factorial design is effective in predicting the properties optimization and processing conditions of cosmetic emulsions. However, in most factorial designs, the technological quality and accelerated stability tests of emulsions are not ...
Yisel M. Navarro-Pérez +6 more
semanticscholar +1 more source
Context: Full factorial design is effective in predicting the properties optimization and processing conditions of cosmetic emulsions. However, in most factorial designs, the technological quality and accelerated stability tests of emulsions are not ...
Yisel M. Navarro-Pérez +6 more
semanticscholar +1 more source
A Comprehensive report on Solid Dispersions by Factorial Design
Asian Journal of Research in Chemistry, 2021The drugs of present use are lipophilic. Hence there is a need to surge the solubility of these drugs. To encounter this necessity one of the approaches is the formulation of drugs in form of Solid dispersions.
H. Ahad +5 more
semanticscholar +1 more source
2021
This chapter moves on from simple ‘one-way’ designs to more complex factorial designs. It extends the simple linear model to include interactions as well as average main effects. Interactions are assessed relative to a null additive expectation where the treatments have no effect on each other.
Bibhas Chakraborty, Palash Ghosh
openaire +2 more sources
This chapter moves on from simple ‘one-way’ designs to more complex factorial designs. It extends the simple linear model to include interactions as well as average main effects. Interactions are assessed relative to a null additive expectation where the treatments have no effect on each other.
Bibhas Chakraborty, Palash Ghosh
openaire +2 more sources
Factorial Design Considerations
Journal of Clinical Oncology, 2002PURPOSE: Factorial designs may be proposed to test extra questions within a clinical trial. A common approach to sample size and analysis for factorial trials assumes no statistical interactions and does not adjust for multiple testing. This investigation considered the trade-off between potential gains from testing more questions with fewer patients ...
Stephanie, Green +2 more
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Chemical Engineering Research and Design, 2017
Salawu Omobayo Adio, Tawfik A Saleh
exaly +2 more sources
Salawu Omobayo Adio, Tawfik A Saleh
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Journal of liposome research, 2019
Melanoma is the most deadly and life-threatening form of skin cancer with progressively higher rates of incidence worldwide. The objective of the present investigation is to develop and to statistically optimize and characterize curcumin (CUR) loaded ...
M. Peram +6 more
semanticscholar +1 more source
Melanoma is the most deadly and life-threatening form of skin cancer with progressively higher rates of incidence worldwide. The objective of the present investigation is to develop and to statistically optimize and characterize curcumin (CUR) loaded ...
M. Peram +6 more
semanticscholar +1 more source