Subject of information entity is one of the fundamental concepts in the field of information science. Subject of any document represents its intellectual potential -- 'aboutness' of the document. Traditionally, subject (along with title and author) is the one of three major ways to access information, so subject metadata plays a central role in this process and the role is constantly growing. Previous research concluded that the larger bibliographic database is, the richer subject vocabularies and classification schemes are needed to support information discovery. Further, a high proportion of information objects are unretrievable without subject headings in metadata records. This exploratory study provides the analysis of the subject metadata in MARC 21 bibliographic records created in 2020; and develops understanding of the level and patterns of 'aboutness' representation in the MARC 21 bibliographic records. Study also examines how these records apply the recent RDA and MARC21 guidelines and features intended to support functionality in a Linked Data environment. Methods of Social Network Analysis were applied along with content analysis, to answer research questions of this study. Suggestions for future research, implications for education, and practical recommendations for library metadata creation and management are discussed.

The purpose of the current study was to confirm or dismiss Saudi students' behavioral intention with regard to using smartphone applications for learning purposes. A quantitative, non-experimental survey research design and descriptive research conducted on the determinants -performance expectancy, effort expectancy, and social influence- that predict Saudi students' intention at University of North Texas to use smartphone applications for learning purposes, based on the unified theory of acceptance and use of technology (UTAUT) as the framework. This study aims at filling gap found in understanding of students' intentions and their behaviors regarding the adoption and use of the Smartphone applications. Data was collected by means of an online questionnaire. The hypothesized model validated empirically using data collected from around 234 Saudi students who enrolled at University of North Texas. The model developed from UTAUT explained 50.1% of the variance of behavioral intention, and behavioral intentions explained 13.6% of the variance of usage behavior. The result of this study support that the determinants of performance expectancy, effort expectancy, and facilitating conditions were the highest predictors of behavioral intentions in using smartphone applications for learning purposes. The results of this study could encourage students, educators, and the Saudi Arabia Ministry of Education …

The purpose of this study is to investigate the use of decisions support systems (DSS) by critical care physicians and to address the following questions: Does the use of a decision support system during diagnosis reduce diagnostic error and how are decision support systems used by critical care physicians? There are no studies that address these research questions in a clinical setting. The information assessment method (IAM) was used to guide the development of the survey questions. Critical care physicians from the University of Oklahoma Health Sciences Center were surveyed. Chi squared test for independence was used to determine the relationship between DSS use and diagnostic error rates. There were three main findings of the study: (1) use of a DSS by a critical care physician can decrease diagnostic error by up to 60%; (2) 56% of critical care physicians are using a DSS during diagnosis to learn something new, confirm something they already knew, and/or to reassure themselves; and (3) the increased use of a DSS by critical care physicians can lead to a decrease in the belief of the ability of a DSS to reduce diagnostic error.