3D Visualization Architecture for Building Applications Leveraging an Existing Validated Toolkit

The diagnostic radiology space and healthcare in general is a slow adopter of new software technologies and patterns. Despite the widespread embrace of mobile technology in recent years, altering the manner in which societies in developed countries live and communicate, diagnostic radiology has not unanimously adopted mobile technology for remote diagnostic review. Desktop applications in the diagnostic radiology space commonly leverage a validated toolkit. Such toolkits not only simplify desktop application development but minimize the scope of application validation. For these reasons, such a toolkit is an important piece of a company’s software portfolio. This thesis investigated an approach for leveraging a Java validated toolkit for the purpose of creating numerous ubiquitous applications for 3D diagnostic radiology. Just as in the desktop application space, leveraging such a toolkit minimizes the scope of ubiquitous application validation. Today, the most standard execution environment in an electronic device is an Internet browser; therefore, a ubiquitous application is web application. This thesis examines an approach where ubiquitous applications can be built using a viewport construct provided by a client-side ubiquitous toolkit that hides the client-server communication between the ubiquitous toolkit and the validated visualization toolkit. Supporting this communication is a Java RESTful web service wrapper around the validated visualization toolkit that essentially “webifies” the validated toolkit. Overall, this ubiquitous viewport is easily included in a ubiquitous application and supports remote visualization and manipulation of volumes on the widest range of electronic devices. Overall, this thesis provided a flexible and scalable approach to developing ubiquitous applications that leverage an existing validated toolkit that utilizes industry standard technologies, patterns, and best practices. This approach is significant because it supports easy ubiquitous application development and minimizes the scope of application validation, and allows medical professionals easy anytime and anywhere access to diagnostic images

Recruitment Market Trend Analysis with Sequential Latent Variable Models

Recruitment market analysis provides valuable understanding of industry-specific economic growth and plays an important role for both employers and job seekers. With the rapid development of online recruitment services, massive recruitment data have been accumulated and enable a new paradigm for recruitment market analysis. However, traditional methods for recruitment market analysis largely rely on the knowledge of domain experts and classic statistical models, which are usually too general to model large-scale dynamic recruitment data, and have difficulties to capture the fine-grained market trends. To this end, in this paper, we propose a new research paradigm for recruitment market analysis by leveraging unsupervised learning techniques for automatically discovering recruitment market trends based on large-scale recruitment data. Specifically, we develop a novel sequential latent variable model, named MTLVM, which is designed for capturing the sequential dependencies of corporate recruitment states and is able to automatically learn the latent recruitment topics within a Bayesian generative framework. In particular, to capture the variability of recruitment topics over time, we design hierarchical dirichlet processes for MTLVM. These processes allow to dynamically generate the evolving recruitment topics. Finally, we implement a prototype system to empirically evaluate our approach based on real-world recruitment data in China. Indeed, by visualizing the results from MTLVM, we can successfully reveal many interesting findings, such as the popularity of LBS related jobs reached the peak in the 2nd half of 2014, and decreased in 2015.Comment: 11 pages, 30 figure, SIGKDD 201

Online Library Tutorials: A Literature Review

In 2009, the Journal of Web Librarianship published a literature review covering best practices for creating library online tutorials. These principles included (1) knowing the tutorial’s purpose, (2) using standards, (3) collaborating with others, (4) engaging students, and (5) conducting evaluations. The purpose of this current essay is to serve as an updated literature review, culling and synthesizing seven other pedagogical facets from newer literature: (1) technology updates, (2) tutorial maintenance and revision, (3) multimedia learning by gaming, (4) cognitive load theory and chunking, (5) adult education theory, (6) blended and flipped learning, and (7) the importance of ongoing engagement