Results 11 to 20 of about 4,136,862 (250)
Past developments and future opportunities in the design and analysis of crop experiments [PDF]
, 2005 A review of papers on the statistical design and analysis of experiments published in the Journal of Agricultural Science, Cambridge, over the last 100 years is presented.
Edmondson, R. N.
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Design of Experiments: Overview [PDF]
SSRN Electronic Journal, 2008 Design Of Experiments (DOE) is needed for experiments with real-life systems, and with either deterministic or random simulation models. This contribution discusses the different types of DOE for these three domains, but focusses on random simulation. DOE may have two goals: sensitivity analysis including factor screening and optimization.
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Design Space by Design of Experiments
Journal of Pharmaceutical Research International, 2021 The quality of methods and products are usually influenced by several input factors. Research has recently focused on understanding the effects of multidimensional and interconnected input factors on the results of pharmaceutical products and analytical methods using Design of Experiment (DoE).
Ashwin Kuchekar +2 more
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Kinetic parameter estimation from TGA: Optimal design of TGA experiments [PDF]
, 2008 This work presents a general methodology to determine kinetic models of solid thermal decomposition with thermogravimetric analysis (TGA) instruments. The goal is to determine a simple and robust kinetic model for a given solid with the minimum of TGA ...
Bard +19 more
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Pareto plot threshold for multiple factors in design of experiments [PDF]
, 2017 Economical, technical and strategic reasons make unreplicated experimental designs necessary and popular in industrial and management settings. This paper investigates the legitimate use of well known methods that appoint effects as significant when they
Van Hecke, Tanja
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Designing simulation experiments [PDF]
2013 Winter Simulations Conference (WSC), 2002 Much effort goes into building and validating simulation models. Similar care is necessary in the use of the model to support decision making. Good simulation experiment design is important to get useful and valid insights for specific management questions.
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Network topology drives population temporal variability in experimental habitat networks
Population Ecology, EarlyView.Habitat patches connected by dispersal pathways form habitat networks. We explored how network topology affects population outcomes in laboratory experiments using a model species (Daphnia carinata). Central habitat nodes in complex lattice networks exhibited lower temporal variability in population sizes, suggesting they support more stable ...
Yiwen Xu +3 more
wiley +1 more source
Multivariate Design of Experiments for Engineering Dimensional Analysis
, 2018 We consider the design of dimensional analysis experiments when there is more than a single response. We first give a brief overview of dimensional analysis experiments and the dimensional analysis (DA) procedure.
Albrecht, Thomas A. +3 more
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Dendritic cells steering antigen and leukocyte traffic in lymph nodes
FEBS Letters, EarlyView.Dendritic cells are key players in the activation of T cells and their commitment to effector function. In this In a Nutshell Review, we will discuss how dendritic cells guide the trafficking of antigen and leukocytes in the lymph node, thus influencing T‐cell activation processes. Dendritic cells (DCs) play a central role in initiating and shaping the
Enrico Dotta +3 more
wiley +1 more source
FEBS Letters, EarlyView.In vivo IL‐10 produced by tissue‐resident tolDC is involved in maintaining/inducing tolerance. Depending on the agent used for ex vivo tolDC generation, cells acquire common features but prime T cells towards anergy, FOXP3+ Tregs, or Tr1 cells according to the levels of IL‐10 produced. Ex vivo‐induced tolDC were administered to patients to re‐establish/
Konstantina Morali +3 more
wiley +1 more source