Mitchell's ancient atlas, classical and sacred : containing maps illustrating the geography of the ancient world as described by the writers of antiquity ... /

Mode of access: Internet.

A book of epitaphs, amusing, curious, and quaint: being light readings on grave subjects.

Mode of access: Internet.

Report of the Treasurer

Title varies slightly

Biennial report

Mode of access: Internet.

Report - Louisiana State Bar Association

Mode of access: Internet.

Predicting Student Performance and Differences in Learning Styles based on Textual Complexity Indices applied on Blog and Microblog Posts

Social media tools are increasingly popular in Computer Supported Collaborative Learning and the analysis of students' contributions on these tools is an emerging research direction. Previous studies have mainly focused on examining quantitative behavior indicators on social media tools. In contrast, the approach proposed in this paper relies on the actual content analysis of each student's contributions in a learning environment. More specifically, in this study, textual complexity analysis is applied to investigate how student's writing style on social media tools can be used to predict their academic performance and their learning style. Multiple textual complexity indices are used for analyzing the blog and microblog posts of 27 students engaged in a project-based learning activity. The preliminary results of this pilot study are encouraging, with several indexes predictive of student grades and/or learning styles.

A functional specification and validation model for networks on chip in the ACL2 logic

International audience

Between the Graduate School and Cataloging: How a Digital Collections Center Contributes Quality to the ETD Process

This presentation was given at the 2015 USETDA (United States Electronic Theses and Dissertations Association) conference in Austin, Texas explores the history of Digital Collections Center at Florida International University and where and how it functions in the process of publishing, archiving, and promoting the university's electronic theses and dissertations. Additionally, the functionality of Digital Commons is discussed along with the use of Adobe Acrobat for creating archival quality PDFs. The final section discusses promotion techniques used via social media for increased discoverability of ETDs.

User interaction monitoring and analysis framework

An overview is given of a user interaction monitoring and analysis framework called BaranC. Monitoring and analysing human-digital interaction is an essential part of developing a user model as the basis for investigating user experience. The primary human-digital interaction, such as on a laptop or smartphone, is best understood and modelled in the wider context of the user and their environment. The BaranC framework provides monitoring and analysis capabilities that not only records all user interaction with a digital device (e.g. smartphone), but also collects all available context data (such as from sensors in the digital device itself, a fitness band or a smart appliances). The data collected by BaranC is recorded as a User Digital Imprint (UDI) which is, in effect, the user model and provides the basis for data analysis. BaranC provides functionality that is useful for user experience studies, user interface design evaluation, and providing user assistance services. An important concern for personal data is privacy, and the framework gives the user full control over the monitoring, storing and sharing of their data.

A pro-active and dynamic prediction assistance using BaranC framework

Monitoring user interaction activities provides the basis for creating a user model that can be used to predict user behaviour and enable user assistant services. The BaranC framework provides components that perform UI monitoring (and collect all associated context data), builds a user model, and supports services that make use of the user model. In this case study, a Next-App prediction service is built to demonstrate the use of the framework and to evaluate the usefulness of such a prediction service. Next-App analyses a user's data, learns patterns, makes a model for a user, and finally predicts based on the user model and current context, what application(s) the user is likely to want to use. The prediction is pro-active and dynamic; it is dynamic both in responding to the current context, and also in that it responds to changes in the user model, as might occur over time as a user's habits change. Initial evaluation of Next-App indicates a high-level of satisfaction with the service.

Gregory Nagy. Poetry as Performance, Homer and Beyond. Cambrige-New York-Melbourne, Cambridge University Press, 1996, ix + 254 pp. ; Gregory Nagy. Homeric Questions, Austin, University of Texas Press, 1996, ix + 180 pp.

Fil: Zecchin de Fasano, Graciela Cristina. Universidad Nacional de La Plata. Facultad de Humanidades y Ciencias de la Educación; Argentina.

Constitution of the State of Texas, adopted unanimously in Convention, at the City of Austin, 1845. An Ordinance in relation to colonization contracts. An Ordinance assenting to the proposals of the United States' Congress for the annexation of Texas.

Mode of access: Internet.

Proceedings of the general convention of delegates representing the citizens and inhabitants of Texas; held at the town of San Felipe, in Austin's colony, the first week of October, one thousand, eight hundred and thirty-two.

Mode of access: Internet.