HealthSCOPE ACO Use Case This is a demo of the HealthSCOPE ACO view. It is an extension of the ACO Use Case Demo with Cost Analysis detailed below, with the added functionality of allowing a user to review additional information about individual beneficiaries within a population.
Managing the water quality in an urban environment is extremely challenging. While it flows, the water picks up pollutants such as lawn care chemicals, oil, and pet waste bacteria. In fact, topography plays a factor in where water runoff goes. However, there are many other factors, such as urban density, impermeable surface coverage, weather events and tidal patterns which all have the potential to impact not only the final destination of a particular pollutant but also the rate of travel along the route.
With the proliferation of social networks, expert finding has gained significant research traction, as the experts(individuals) are used as hubs for knowledge sharing and dissemination, recommendation and endorsement, or even product promotion and marketing. Interestingly, expert finding becomes worthy when the discovered individuals are both knowledgeable and approachable. While knowledgeable expert finding is well studied, to the best of our knowledge this is the first ever work to study approachable exepert finding. In this research, we study the problem of finding approachable experts in a social network settings i.e., finding individuals who are knowledgeable on a given topic and are "most likely" to respond to the request.
Noise is the issue. Citations of the same scholar appear under different name variants due to errors(under conflation). Citations of different authors with the same name appear as one scholar(Over conflation). The main goal is to detect the duplicate authors from the Microsoft Academic Search and merge them. Here we present out Demo interface and the effectiveness of our solution.
ChronoZoom is an open source community project dedicated to visualizing the history of everything to bridge the gap between the humanities and sciences using the story of Big History to easily understand all this information.
In this paper we investigate the different uses of social networking in education and reasons for using it. We explore how the use of social networking sites as an educational tool increases student engagement and bring learning to students in a place that is already part of their daily lives. We also explore studies of the use of social networking tools for faculty to build and participate in learning communities and measure the amount of positive impact this can have for both faculty and students. The results of a study of undergraduate computer science students after using a Facebook group as part of their course is examined.
Pattern recognition techniques can be used for damage detection in industrial equipment. In this scenario, if damage can be detecte dearly then remedial action can be taken before a catastrophic event occurs. We propose to develop, compare, and apply several anomaly detection algorithms to detect multiple types of power plant faults. Information fusion will be used to develop ensemble anomaly detectors with improved robustness and accuracy.
In this project, we seek to provide a visual representation of inter-country adoption statistics. One of our goals is to create a one-stop shop for everything inter-country adoption. Furthermore, our visualizations aim at making this data more comprehensible and useful. We are also looking at developing correlations between adoption and few interesting and significant societal issues such as infertility.
The University of Washington-Tacoma (UWT) is excited to partner with the Office of the Superintendent of Public Instruction (OSPI) to support state-needs projects and to meet the needs of students with special needs state-wide.