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- Member of: ASU Electronic Theses and Dissertations
- Member of: Collegiate Recovery Program Resources
- Member of: Humphreys, Alexandra


A needs assessment based on students in recovery to build a Collegiate Recovery Program.

Qualitative research on student employees of a Collegiate Recovery Program.

PPT lecture and notes for Recovery 101 training.


Readability formulas are used widely in education, and increasingly in business and government. Over 30 years of research on more than 200 readability formulas has demonstrated moderate to strong predictive correlations with reading comprehension. In this study, five well-known readability formulas correlated highly with each other when applied to selected recent historical articles (N = 22) from two music education research journals. The mean level of difficulty (readability) for all 22 articles was grade 14.04, near the beginning of the second year of college. Since research shows that most people read below their highest completed school grade and also prefer easier materials, this is probably an appropriate level of difficulty for the presumptive readers of these two journals (i.e., holders of undergraduate and graduate degrees). Professors, librarians, and others responsible for guiding students toward reading material at appropriate levels of readability could benefit from these results.
A poster presentation on resources and strategies from Arizona State University Libraries to encourage understanding of and participation in Open Access practices, including promotional materials (flyers, library guides, videos, and more) and persuasive talking points.

Poster about meeting the academic and cultural needs of international students at the Arizona State University Libraries and the University of Arizona Libraries. The poster presentation focuses on:
1. Strategies to promote information literacy skills of international students in the two university libraries.
2. What the libraries are doing to improve services to meet the needs and encourage library use among international students.
3. Partnerships that have been established with other academic departments or institutions.


This study addresses the problem of particle image segmentation by measuring the similarity between a sampled region and an adjacent region, based on Bhattacharyya distance and an image feature extraction technique that uses distribution of local binary patterns and pattern contrasts. A boundary smoothing process is developed to improve the accuracy of the segmentation. The novel particle image segmentation algorithm is tested using four different cases of particle image velocimetry (PIV) images. The obtained experimental results of segmentations provide partitioning of the objects within 10 percent error rate. Ground-truth segmentation data, which are manually segmented image from each case, are used to calculate the error rate of the segmentations.