This presentation discusses The Portal to Texas History and the University of North Texas (UNT) Digital Library collections. It also discusses the invisible internet, other Texas digital collections, other large digital collections, major digital collections in other states, subscription databases, and gives strategies for searching all of these databases.

This presentation gives an overview of various digital initiatives by the University of North Texas (UNT) Libraries' Digital Projects Unit.

This presentation discusses open access policies at the University of North Texas (UNT). The topics include an introduction to open access, a discussion of open access policies, and implementation ideas for workflow and technology support.

This presentation discusses the MARC Content Designation Utilization (MCDU) Project. It presents information about the goals and scope of the project, the methodology and information about the process, and the implications of this project.

Presentation for the North Texas Community College Consortium Spring Leadership Conference. This presentation highlights library resources and services available for community colleges.

This presentation provides an overview of the beginning stages of the IMLS funded two-year web archiving research project with Internet Archive, Stanford University Libraries, University of North Texas, and Rutgers University.

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Hadronic Cross Sections for Neutrino Production in MIPP

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Strategic energy planning is paramount during times of dramatic population growth, global warming, increasing energy demands, and concerns over energy security, food security, and economic development. Recent concerns over water scarcity have moved the energy-water issue to the forefront of energy options discussions. This presentation describes the current water challenges in the United States and presents a case for wind energy as one way to mitigate the problem of water scarcity in several U.S. regions while providing a clean and sustainable economic future for America.

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This paper presents recent advances in photovoltaics.

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Presentation for the 2015 International iConference. This presentation discusses a study on the exploration of metadata change in a digital repository.

Presentation for the 2017 International Conference on Knowledge Management. This presentation describes a qualitative research study exploring the concept of cyber aggression and its existence in Saudi Arabia.

Keynote presentation for the 2017 International Conference on Knowledge Management. This presentation examines the intersection of knowledge management and analytics.

Presentation for the 2017 International Conference on Knowledge Management. This presentation describes how Utica Park Clinics is using Phytel with Lean principles to improve patient outcomes.

Presented at the 2017 International Conference on Knowledge Management. This presentation examines the use of machine learning to understand rates of chronic kidney diseases among African American men and women.

Presented at the 2017 International Conference on Knowledge Management. This presentation examines uses knowledge discovery and text mining to identify patterns and trends in the data science discipline by examining core course titles of the Data Science curriculum offered in the United States.

Presented at the 2017 International Conference on Knowledge Management. This presentation examines performance measurements in healthcare and misclassification error on estimated cardiovascular care performance.

Presented at the 2017 International Conference on Knowledge Management. This presentation examines how previous information literacy training affects law students' selection of information sources, and how this relates to student demographics.

Presentation for the 2017 International Conference on Knowledge Management. This presentation describes interdisciplinary research by a team of informatics researchers representing five academic disciplines at Texas Woman's University.

Presentation for the 2017 International Conference on Knowledge Management. This presentation describes the use of a link prediction algorithm based on node embedding to map disease nodes and reveal relationships among various diseases.