Imagine engaging 4,000 incoming students for library orientation over the course of 19 days, 200 + students per day for one hour. Imagine using problem-based learning scenarios to convey the libraries’ role with research in 8 minutes or less. Imagine double-sided, free standing 4’ by 8’ chalkboards as the innovative tool to inspire students. Discover how to develop and implement an active learning experience that is easy to facilitate.
Panel presentation at the 2014 UC's Diversity Conference:Join a panel of students and librarians who will showcase their collaborative events focused on exploring cultures through personal experiences and library resources. The most recent event, Across Nations: Diversity Speaks, was a big success thanks to student engagement at all stages of planning and presentation. International and study abroad students planned, publicized and moderated the event. Student contributions ranged from social media publicity to the icebreaker – a culture shock video - to preparing ethnic foods and wearing traditional clothing. Most importantly, the inclusive and open dialog at the event allowed students to share their perceptions of other countries, including misconceptions that were corrected by students from those countries. The event serves as a model for utilizing student expertise and enthusiasm for enhancing cross cultural understanding and global engagement.
Acquiring, organizing, making accessible, and preserving information and data, including faculty archives, university records, theses/dissertations, and other output created by the university, is the library’s reason-for-being.
Paper Submitted to ARN Envisioning the Future as Critical Partners in Data-Driven Science Workshop
A presentation and paper delivered at Open Repositories 2012, the 7th International Conference on Open Repositories, held in Edinburgh, Scotland, July 9-13, 2012.
A video series that walks the viewer through the process of conducting legal research using paper resources.
Video 1 -- Legal Research: Intro
Video 2 -- Legal Research: Define Problem
Video 3 -- Legal Research: Find a Starting Point
Video 4 -- Legal Research: Read Starting Point
Video 5 -- Legal Research: Additional Material
Video 6 -- Legal Research: Validation
Video 7 -- Legal Research: Summary
This is the iBook version of chapter four of five. It requires the iBooks app to read. The media is embedded so no internet connection is necessary after the book has been downloaded. It contains many interactive widgets and videos that are not found in the epub, pdf, and mobi versions. However, the file size for this format is much larger and requires the book to be broken into individual chapters. All the text can be read by clicking the Closed Caption (CC) button on each video. There are keywords on the right side of each page to enable word searches.
Hyperelastic constitutive models of soft tissue mechanical behavior are extensively used in applications like computer-aided surgery, injury modeling, etc. While numerous constitutive models have been proposed in the literature, an objective method is needed to select a parsimonious model that represents the experimental data well and has good predictive capability. This is an important problem given the large variability in the data inherent to soft tissue mechanical testing.
In this work, we discuss a Bayesian approach to this problem based on Bayes factors. We propose a holistic framework for model selection, wherein we consider four different factors to reliably choose a parsimonious model from the candidate set of models. These are the qualitative fit of the model to the experimental data, evidence values, maximum likelihood values, and the landscape of the likelihood function. We consider three hyperelastic constitutive models that are widely used in soft tissue mechanics: Mooney-Rivlin, Ogden and exponential. Three sets of mechanical testing data from the literature for agarose hydrogel, bovine liver tissue, porcine brain tissue are used to calculate the model selection statistics. A nested sampling approach is used to evaluate the evidence integrals. In our results, we highlight the robustness of the proposed Bayesian approach to model selection compared to the likelihood ratio, and discuss the use of the four factors to draw a complete picture of the model selection problem.
This is the iBook version of chapter three of five. It requires the iBooks app to read. The media is embedded so no internet connection is necessary after the book has been downloaded. It contains many interactive widgets and videos that are not found in the epub, pdf, and mobi versions. However, the file size for this format is much larger and requires the book to be broken into individual chapters. All the text can be read by clicking the Closed Caption (CC) button on each video. There are keywords on the right side of each page to enable word searches.
