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The authors also thank Queen Mary, University of London, the University of St Andrews and the Poznan University of Life Sciences for financial support. The second author was also supported by the British-Polish Young Scientists Programme, grant WAR/342 ...
Bailey, Rosemary Anne +3 more
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Human impacts on stream ecosystems are expected to intensify with population growth and climate change. Decisive information on how stream communities respond to cumulative human impacts is therefore integral for protecting streams draining multi-use ...
Nolan J.T. Pearce +4 more
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Robust data analysis for factorial experimental designs: Improved methods and software [PDF]
Factorial experimental designs are a large family of experimental designs. Robust statistics has been a subject of considerable research in recent decades. Therefore, robust analysis of factorial designs is applicable to many real problems.
Sarmad, Majid
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Background The main obstacle facing the utilization of microbial enzymes in industrial applications is the high cost of production substrates. As a result of the mentioned different wastes (coffee powder waste, dates nawah powder, molokhia stems, pea ...
Walaa A. Abdel Wahab +6 more
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Statistical Analysis of Efficient Unbalanced Factorial Designs for Two-Color Microarray Experiments [PDF]
Experimental designs that efficiently embed a fixed effects treatment structure within a random effects design structure typically require a mixed-model approach to data analyses. Although mixed model software tailored for the analysis of two-color microarray data is increasingly available, much of this software is generally not capable of correctly ...
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Statistics applied to plant micropropagation: a critical review of inadequate use
Statistical analyses are an essential part of scientific research. Various procedures since the preparation of the experiment have an impact on the statistical procedures adopted. Therefore, a correct planning implies a precise analysis.
Vanderley José Pereira +4 more
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Holistic Design of Experiments Using an Integrated Process Model
Statistical experimental designs such as factorial, optimal, or definitive screening designs represent the state of the art in biopharmaceutical process characterization.
Thomas Oberleitner +3 more
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The Design of Experiments (DoE) method is a fundamental tool in quality management, providing a structured approach to process optimisation, reducing variability, and identifying key factors that influence outcomes. By systematically planning, executing,
Aleksy Kwilinski, Maciej Kardas
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Introduction: The use of response surface designs for drug formulation is highly warranted nowadays. Such smart designs reduce the number of required experiments compared to full-factorial designs, while providing highly accurate and reliable results ...
Magdy M. Aly +2 more
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Development and Statistical Optimization of Solid Lipid Nanoparticles of Simvastatin by Using 23 Full-Factorial Design [PDF]
The objective of this study was to develop solid lipid nanoparticles (SLNs) of simvastatin and to optimize it for independent variables (amount of glycerol monostearate, concentration of poloxamer, and volume of isopropyl alcohol) in order to achieve desired particle size with maximum percent entrapment efficiency (% EE) and percent cumulative drug ...
Mayank, Shah, Kamla, Pathak
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