Virtual Reference for Video Collections: System Infrastructure, User Interface and Pilot User Study

A new video-based Virtual Reference (VR) tool called VideoHelp was designed and developed to support video navigation escorting, a function that enables librarians to co-navigate a digital video with patrons in the web-based environment. A client/server infrastructure was adopted for the VideoHelp system and timestamps were used to achieve the video synchronization between the librarians and patrons. A pilot usability study of using VideoHelp prototype in video seeking was conducted and the preliminary results demonstrated that the system is easy to learn and use, and real-time assistance from virtual librarians in video navigation is desirable on a conditional basis

Java table browser: transportation and presentation of large statistical tables over Network

This study describes a novel design of Java table browser using XML (jTBX). A standard table-browsing environment is provided in the form of Java applet which can be opened in any web browser such as Netscape, or Internet Explore with Java 1.2 plug-in installed. Some manipulation functions to tables are supported for various level of objects in table (table, sub-table, column, row, cell). A hierarchical Java tree provides the table of content (TOC) of available tables. Three tier architecture is used in jTBX system design. Remote database tier provides raw data from distributed sites. Web server tier generates the response in the standard XML format to the requests from the client side tier (table browser). Metadata for tables are integrated into the XML files (or streams) before being used by client Java applet. Multiple threads are generated for a large table transporting

Supporting effective health and biomedical information retrieval and navigation: A novel facet view interface evaluation

AbstractThere is a need to provide a more effective user interface to facilitate non-domain experts’ health information seeking in authoritative online databases such as MEDLINE. We developed a new topic cluster based information navigation system called SimMed. Instead of offering a list of documents, SimMed presents users with a list of ranked clusters. Topically similar documents are grouped together to provide users with a better overview of the search results and to support exploration of similar literature within a cluster. We conducted an empirical user study to compare SimMed to a traditional document list based search interface. A total of 42 study participants were recruited to use both interfaces for health information exploration search tasks. The results showed that SimMed is more effective in terms of users’ perceived topic knowledge changes and their engagement in user-system interactions. We also developed a new metric to assess users’ efforts to find relevant citations. On average, users need significantly fewer clicks to find relevant information in SimMed than in the baseline system. Comments from study participants indicated that SimMed is more helpful in finding similar citations, providing related medical terms, and presenting better organized search results, particularly when the initial search is unsatisfactory. Findings from the study shed light on future health and biomedical information retrieval system and interface designs

Virtual Reference for Video Collections: System Infrastructure, User Interface and Pilot User Study

A new video-based Virtual Reference (VR) tool called VideoHelp was designed and developed to support video navigation escorting, a function that enables librarians to co-navigate a digital video with patrons in the web-based environment. A client/server infrastructure was adopted for the VideoHelp system and timestamps were used to achieve the video synchronization between the librarians and patrons. A pilot usability study of using VideoHelp prototype in video seeking was conducted and the preliminary results demonstrated that the system is easy to learn and use, and real-time assistance from virtual librarians in video navigation is desirable on a conditional basis

User studies informing E-table interfaces

In this paper, we describe a series of user studies that were used to advance understanding of how people use electronic tables (E-Tables) and inform the development of a web-based statistical table browser for use by non-specialists. Interviews and focus groups with providers, intermediaries, and non-specialist end users; transaction log analysis; and email content analysis were used to develop a user-task taxonomy for government statistical data. These studies were the basis for a prototype web-based interface for browsing statistical tables. Two usability studies with 23 subjects and two eye-tracking studies with 21 subjects were conducted with this interface and paper, PDF, and spreadsheet interfaces. The results of the needs assessment, prototype development, and user studies provide a foundation for understanding E-Tables in general and guiding continued design of interfaces for E-Tables

Mining document, concept, and term associations for effective biomedical retrieval - Introducing MeSH-enhanced retrieval models

Manually assigned subject terms, such as Medical Subject Headings (MeSH) in the health domain, describe the concepts or topics of a document. Existing information retrieval models do not take full advantage of such information. In this paper, we propose two MeSH-enhanced (ME) retrieval models that integrate the concept layer (i.e. MeSH) into the language modeling framework to improve retrieval performance. The new models quantify associations between documents and their assigned concepts to construct conceptual representations for the documents, and mine associations between concepts and terms to construct generative concept models. The two ME models reconstruct two essential estimation processes of the relevance model (Lavrenko and Croft 2001) by incorporating the document-concept and the concept-term associations. More specifically, in Model 1, language models of the pseudo-feedback documents are enriched by their assigned concepts. In Model 2, concepts that are related to users’ queries are first identified, and then used to reweight the pseudo-feedback documents according to the document-concept associations. Experiments carried out on two standard test collections show that the ME models outperformed the query likelihood model, the relevance model (RM3), and an earlier ME model. A detailed case analysis provides insight into how and why the new models improve/worsen retrieval performance. Implications and limitations of the study are discussed. This study provides new ways to formally incorporate semantic annotations, such as subject terms, into retrieval models. The findings of this study suggest that integrating the concept layer into retrieval models can further improve the performance over the current state-of-the-art models.Ye

miR-27b inhibits fibroblast activation via targeting TGFB signaling pathway

Background: MicroRNAs are a group of small RNAs that regulate gene expression at the posttranscriptional level. They regulate almost every aspect of cellular processes. In this study, we investigated whether miR-27b regulates pulmonary fibroblast activation.Results: We found that miR-27b was down-regulated in fibrotic lungs and fibroblasts from an experimental mouse model of pulmonary fibrosis. The overexpression of miR-27b with a lentiviral vector inhibited TGFB1-stimulated mRNA expression of collagens (COL1A1, COL3A1, and COL4A1) and alpha-smooth muscle actin, and protein expression of Col3A1 and alpha-smooth muscle actin in LL29 human pulmonary fibroblasts. miR-27b also reduced contractile activity of LL29. TGFB receptor 1 and SMAD2 were identified as the targets of miR-27b by 3'-untranslated region luciferase reporter and western blotting assays.Conclusions: Our results suggest that miR-27b is an anti-fibrotic microRNA that inhibits fibroblast activation by targeting TGFB receptor 1 and SMAD2. This discovery may provide new targets for therapeutic interventions of idiopathic pulmonary fibrosis.Peer reviewedPhysiological SciencesOklahoma Center for Respiratory and Infectious Disease

Semantic Visual Features in Content-based Video Retrieval

A new semantic visual features (e.g., car, mountain, and fire) navigation technology is proposed to improve the effectiveness of video retrieval. Traditional temporal neighbor browsing technology allows users to navigate temporal neighbors of a selected sample frame to find additional matches, while semantic visual feature browsing enables users to navigate keyframes that have similar features to the selected sample frame. A pilot evaluation was conducted to compare the effectiveness of three video retrieval designs that support 1) temporal neighbor browsing; 2) semantic visual feature browsing; and 3) fused browsing which is a combination of both temporal neighbor and semantic visual feature browsing. Two types of searching tasks: visual centric and non-visual centric tasks were applied. Initial results indicated that the semantic visual feature browsing system was more efficient for non-visual centric tasks

Video Annotation in a Learning Environment

Numerous studies have demonstrated that annotation is an important part of human reading behavior in both printed and electronic environments. Annotation in the electronic environment requires special support due to limited media affordances. We have witnessed continuous improvement of annotation functions in some electronic reading environments, such as text documents in Microsoft Word or Adobe Acrobat and images in Flickr. However, comparatively little research has been conducted to understand people’s needs for making annotations when they watch videos, let alone work to develop tools to support their needs. With the increasing use of videos in many aspects of our lives, from professional activities to personal entertainment, by not only specialists but also general consumers, there is need for more efforts on designing annotation facilities for video navigation and manipulation devices. This study focuses on video annotation in a learning environment. We studied how people in a teaching assistant training class annotated videotaped instructional presentations. We attempted to understand the value of annotation in achieving their learning objectives and how video annotation functions helped in supporting their tasks. The results of this study provide implications for video annotation system design