Article evaluates the impact of new media on scientific literacy. Content analysis with a coding scheme was performed on 42 filtered websites and 20 microblogs to analyze the role of new media in disseminating scientific knowledge. The results showed that the quality of science-oriented websites was higher than that of microblogs. Suggestions about how to improve the quality of science-oriented new media and how to develop students’ scientific literacy through new media are also discussed.

Article describes how in digital image processing and steganography, images are often described using edges and local binary pattern (LBP) codes. The authors state that by combining these two properties, a novel hybrid image steganography method of secret embedding is proposed in this paper.

Article proposing a computational method to quantify and dissect visual reasoning. The method characterizes spatial and temporal features and identifies common and contrast visual reasoning patterns to extract significant gaze activities. The visual reasoning patterns are explainable and can be compared among different groups to discover strategy differences. Empirical observations show that the method can capture the temporal and spatial features of human visual attention and distinguish expertise level. By revealing task-related reasoning processes, this method demonstrates potential for explaining human visual understanding.

Article describes how the authors' study sought to leverage machine learning approaches to determine whether social determinants of health improve prediction of incident cardiovascular disease (CVD). Participants in the Jackson Heart study with no history of CVD at baseline were followed over a 10-year period to determine first CVD events.

Conference paper reporting results of the examination of metadata records for Arabic-language eBooks to support ongoing metadata education in the Arabian Gulf region. The results are presented in-context, after introducing the metadata teaching practices at this undergraduate program, and the major Dublin Core skill-building assignment. This is a manuscript version of a published work. Citation information is available for the published version of the work.

Conference paper for an exploratory study that examined student-created metadata for physical non-text resources. The authors applied in-depth qualitative and quantitative content analysis to the Dublin Core (DCTERMS) metadata created by the graduate students in two sections of an introductory digital library metadata course. Finding of comparative analysis for the asynchronous course section and the section with synchronous class meetings are also presented. Implications are discussed, along with future directions for research. This is a manuscript version of a published work. Citation information is available for the published version of the