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Bellevue, WA, United States

City University of Seattle, also known as CityU, is a private not-for-profit institution of higher learning based in Seattle, Washington. CityU currently enrolls 7,639 students worldwide . The university consists of the School of Management, Albright School of Education, the Division of Arts/science and Management Institute. CityU of Seattle offers campus education around the world and online education. Wikipedia.

Todd N.,City University of Seattle | Weaver-Dunlop G.,Calgary Womens Emergency ShelterAB | Ogden C.,Calgary Womens Emergency ShelterAB
Violence Against Women | Year: 2014

Traditional effects-based approaches to therapeutic work with men who have abused others often attempt to intervene by correcting personal deficits assumed to be causing the violence. This not only creates a hierarchical counseling relationship but also can inadvertently excuse aggressive actions. In this article, we outline a responsebased alternative that emphasizes questions of choice, agency, and volition within a collaborative therapeutic relationship. Rather than impose external correction, we pay attention to details of how men describe their violent acts and position themselves as agents of those acts as we work toward supporting them in their own acts of self-correction. © The Author(s) 2014. Source

Besseris G.J.,City University of Seattle
PLoS ONE | Year: 2014

Polymerase chain reaction (PCR) is an in vitro technology in molecular genetics that progressively amplifies minimal copies of short DNA sequences in a fast and inexpensive manner. However, PCR performance is sensitive to suboptimal processing conditions. Compromised PCR conditions lead to artifacts and bias that downgrade the discriminatory power and reproducibility of the results. Promising attempts to resolve the PCR performance optimization issue have been guided by quality improvement tactics adopted in the past for industrial trials. Thus, orthogonal arrays (OAs) have been employed to program quick-and-easy structured experiments. Profiling of influences facilitates the quantification of effects that may counteract the detectability of amplified DNA fragments. Nevertheless, the attractive feature of reducing greatly the amount of work and expenditures by planning trials with saturated-unreplicated OA schemes is known to be relinquished in the subsequent analysis phase. This is because of an inherent incompatibility of ordinary multi-factorial comparison techniques to convert small yet dense datasets. Treating unreplicated-saturated data with either the analysis of variance (ANOVA) or regression models destroys the information extraction process. Both of those mentioned approaches are rendered blind to error since the examined effects absorb all available degrees of freedom. Therefore, in lack of approximating an experimental uncertainty, any outcome interpretation is rendered subjective. We propose a profiling method that permits the non-linear maximization of amplicon resolution by eliminating the necessity for direct error estimation. Our approach is distribution-free, calibration-free, simulation-free and sparsity-free with well-known power properties. It is also user-friendly by promoting rudimentary analytics. Testing our method on published amplicon count data, we found that the preponderant effect is the concentration of MgCl2 (p<0.05) followed by the primer content (p<0.1) whilst the effects due to either the content of the deoxynucleotide (dNTP) or DNA remained dormant (p>0.1). Comparison of the proposed method with other stochastic approaches is also discussed. Our technique is expected to have extensive applications in genetics and biotechnology where there is a demand for cheap, expedient, and robust information. © 2014 George J. Besseris. Source

Besseris G.,City University of Seattle
International Journal of Lean Six Sigma | Year: 2014

Purpose - The purpose of this study is to provide a method for Lean Six Sigma (LSS) improvement projects that may aid LSS practitioners to plan and conduct robust and lean product/process optimization studies for complex and constrained products, such as those encountered in food industry operations. Design/methodology/approach - The technique is to be used for replicated LSS product experimentation on multiple effects elicited on several product traits. The authors compress replicated information reducing each response to simpler lean and robust median and range response components. Then, the desirability method is utilized to optimize concurrently location and dispersion contributions. Findings - The suggested method is demonstrated with a case study drawn from the area of food development where cocoa-cream filling for a large-scale croissant production operation undergoes a robust screening on two crucial characteristics - viscosity and water activity - that influence product and process performance as well as product safety. Originality/value - The proposed method amalgamates concepts of fractional factorial designs for expedient experimentation along with robust multi-factorial inference methods easily integrated to the desirability function for determining significant process and product effects in a synchronous multi-characteristic improvement effort. The authors show that the technique is not hampered by ordinary limitations expected with mainstream solvers, such as MANOVA. The case study is unique because it brings in jointly lean, quality and safety aspects of an edible product. The showcased responses are unique because they influence both process and product behavior. Lean response optimization is demonstrated through the paradigm. © Emerald Group Publishing Limited. Source

Besseris G.J.,City University of Seattle
International Journal of Quality Engineering and Technology | Year: 2013

The eight-run, two-level, seven-factor saturated-unreplicated orthogonal array has been analysed previously by pure distribution-free multi-comparison tests. It has been found in this work that there is asymmetry for two particular reference cumulative distribution functions relating to three-and four-factor contrasting. Both of these groups are separated into two distribution families, one containing 28 members and the other seven members. However, it is stressed that the corrections proposed in this work does not essentially alter the statistical behaviour of previous results when considering the cut-off points in terms of composite rank-sums for the typical statistical significance levels of 0.1 and 0.05, respectively. © 2013 Inderscience Enterprises Ltd. Source

Medarova V.,City University of Seattle
Proceedings of the IADIS International Conference e-Learning 2012 | Year: 2012

The paper gives an overview of the current literature on e-Learning goals and theoretical background of design of e-Learning courses. Conditions of successful implementation of e-Learning include technical, organizational, pedagogical, and psychological. The author describes design of English language courses in the Moodle portal. A practical example of an online Business English course at the university level is analyzed. Student and instructor feedback is summarized. The paper offers recommendations for online course design and lists issues that need special attention and that will be addressed in further research. © 2012 IADIS. Source

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