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Validation: experimental and semianalytical
, 2020 Chapter 7 deals with the entire issue of solver validation, pointing out several significant developments in the field of dirt particle distribution-detection. While sub-chapter 7.1 establishes a (semi-) analytical validation scheme for simplified fibre geometries, sub-chapter 7.2 resorts on solver-comparison to data from literature and sub-chapter 7.3
Gernot Boiger, Boiger, Gernot Kurt
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European Journal of Psychological Assessment, 2019 Abstract. Although the vast majority of validation studies rely on correlational validity evidence, there is an increased recognition that validity should also focus on whether variations in the focal psychological attribute lead to variations in the measurement outcomes.
KRUMM, Stefan +2 more
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Experimental MicroRNA Targeting Validation
2021microRNAs (miRNAs) have recently been recognized as a new dimension of posttranscriptional regulation. It is well defined that most human protein-coding genes are regulated by one or more miRNAs. Therefore, it is crucial to identify genes targeted by the miRNAs to better understand their functions.
Bala Gür, Dedeoğlu, Senem, Noyan
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Experimental miRNA Target Validation
2012In the recent past, microRNAs (miRNAs) have gained significant attention as potent regulators of gene expression. These small noncoding RNA molecules are currently of major interest when investigating regulatory circuits of the cell. After identification of potential miRNA-target gene interactions (e.g., using computational algorithms), biomolecular ...
Heyn, Jens +4 more
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Experimental validation in software engineering
Information and Software Technology, 1997Although experimentation is an accepted approach toward scientific validation in most scientific disciplines, it only recently has gained acceptance within the software development community. In this paper we discuss a 12-model classification scheme for performing experimentation within the software development domain.
Marvin V. Zelkowitz, Dolores R. Wallace
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A Discussion on Experimental Model Validation
2009 11th International Conference on Computer Modelling and Simulation, 2009Model validation is essential in modeling and simulation. It “finalizes” the modeling process, and provides the base for reliable experiments with the model, and thus to gain trustworthy insights of the system under study. Diverse techniques have been developed addressing different needs and are used during different phases in the modeling and ...
Stefan Leye +2 more
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The validity of experimental pain measures
Pain, 1983Forty subjects served in a study investigating the characteristics of experimental pain measures. Subjects indicated when their pain threshold and tolerance levels had been reached with each of three stressors: cold, pressure, and electrical shock. Using the multitrait-multimethod matrix procedure, the measures of threshold and tolerance were found to ...
Georgina, Harris, Gary B, Rollman
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