Takin\u27 It to the Web : Updating Operations Manuals for Today\u27s Techno-Realities

Inspired by Chelle Batchelor\u27s Training Technologies A-Zed presentation from the 2010 NWILL conference, Kathleen Spring was determined to update the out-of-date operations manual for Linfield College\u27s interlibrary loan (ILL) department while simultaneously morphing it into a more user-friendly training tool and moving it to a web-based system. For those who haven\u27t yet made the leap to web-based training tools for ILL, this presentation offers one example of what you can do to improve the training experience for your employees. Using Blackboard Learn as the content management system to house materials, this presentation demonstrates: how to leverage existing content from other departments to maximize efficiency how to use web-authoring tools like Softchalk™ to create interactive learning materials that reinforce concepts and also serve as reference materials for those less-frequent processes how to incorporate wikis, short videos/screencasts, and evaluation mechanisms

QAPgrid: A Two Level QAP-Based Approach for Large-Scale Data Analysis and Visualization

Background: The visualization of large volumes of data is a computationally challenging task that often promises rewarding new insights. There is great potential in the application of new algorithms and models from combinatorial optimisation. Datasets often contain “hidden regularities” and a combined identification and visualization method should reveal these structures and present them in a way that helps analysis. While several methodologies exist, including those that use non-linear optimization algorithms, severe limitations exist even when working with only a few hundred objects. Methodology/Principal Findings: We present a new data visualization approach (QAPgrid) that reveals patterns of similarities and differences in large datasets of objects for which a similarity measure can be computed. Objects are assigned to positions on an underlying square grid in a two-dimensional space. We use the Quadratic Assignment Problem (QAP) as a mathematical model to provide an objective function for assignment of objects to positions on the grid. We employ a Memetic Algorithm (a powerful metaheuristic) to tackle the large instances of this NP-hard combinatorial optimization problem, and we show its performance on the visualization of real data sets. Conclusions/Significance: Overall, the results show that QAPgrid algorithm is able to produce a layout that represents the relationships between objects in the data set. Furthermore, it also represents the relationships between clusters that are feed into the algorithm. We apply the QAPgrid on the 84 Indo-European languages instance, producing a near-optimal layout. Next, we produce a layout of 470 world universities with an observed high degree of correlation with the score used by the Academic Ranking of World Universities compiled in the The Shanghai Jiao Tong University Academic Ranking of World Universities without the need of an ad hoc weighting of attributes. Finally, our Gene Ontology-based study on Saccharomyces cerevisiae fully demonstrates the scalability and precision of our method as a novel alternative tool for functional genomics