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Full-Text Articles in Design of Experiments and Sample Surveys
Computer-Based Methods For Constructing Two-Level Fractional-Factorial Experimental Designs With A Requirement Set, Steven L. Forsythe
Computer-Based Methods For Constructing Two-Level Fractional-Factorial Experimental Designs With A Requirement Set, Steven L. Forsythe
Theses and Dissertations
This dissertation developed four methodologies for computer-aided experimental design of two-level fractional factorial designs with requirement sets (DOE/RS). The requirement sets identify all the experimental factors and the appropriate interaction terms to be evaluated in the experiment. Taguchi graphs and similar manual methods provide techniques for solving the DOE/RS problem. Unfortunately, these methods are limited because they become difficult to use as the number of factors or interaction terms exceeds ten. This research showed that the DOE/RS problem belongs to a class of difficult-to-solve problems known as NP-Complete. It is the combinatorial nature of NP-Complete problems that causes them to …
Taking Animal Welfare Seriously: Minimizing Pain And Distress In Research Animals, The Humane Society Of The United States
Taking Animal Welfare Seriously: Minimizing Pain And Distress In Research Animals, The Humane Society Of The United States
ANIMAL RESEARCH
Pain and distress caused by specific research models and techniques raise serious concerns for those in the animal welfare community as well as in the scientific community. Yet good estimates of how much animal pain and/or animal distress is caused by particular techniques or methods are not yet available. The HSUS has compiled a preliminary list of research models and techniques that cause pain and distress. Analyses by the USDA and HSUS indicate that the majority of the animals reported in Column E are used in various testing procedures, with vaccine testing prominent among them. More data are needed to …
Evaluation Of Animal Model Research, Kenneth J. Shapiro
Evaluation Of Animal Model Research, Kenneth J. Shapiro
Experimentation Collection
It is argued that a concept of evaluation of animal models that is broader and more useful than validation is available. Productive generativity refers to the degree to which a model furthers understanding and leads to more-effective treatment interventions. Results of the application of this novel evaluative frame to several animal models of eating disorders show that this animal-based research has not been productive. The question of the relation between clinic and animal laboratory is discussed.