A Novel Space Partitioning Algorithm to Improve Current Practices in Facility Placement

A Novel Space Partitioning Algorithm to Improve Current Practices in Facility Placement

Date: March 2011
Creator: Jimenez, Tamara; Mikler, Armin R. & Tiwari, Chetan
Description: This article discusses a novel space partitioning algorithm to improve current practices in facility placement.
Contributing Partner: UNT College of Engineering
Text and Structural Data Mining of Influenza Mentions in Web and Social Media

Text and Structural Data Mining of Influenza Mentions in Web and Social Media

Date: February 22, 2010
Creator: Corley, Courtney; Cook, Diane J., 1963-; Mikler, Armin R. & Singh, Karan P.
Description: This article discusses text and structural data mining of influenza mentions in web and social media.
Contributing Partner: UNT College of Engineering
A Computational Methodology for Addressing Differentiated Access of Vulnerable Populations During Biological Emergencies

A Computational Methodology for Addressing Differentiated Access of Vulnerable Populations During Biological Emergencies

Date: August 2014
Creator: O’Neill II, Martin Joseph
Description: Mitigation response plans must be created to protect affected populations during biological emergencies resulting from the release of harmful biochemical substances. Medical countermeasures have been stockpiled by the federal government for such emergencies. However, it is the responsibility of local governments to maintain solid, functional plans to apply these countermeasures to the entire target population within short, mandated time frames. Further, vulnerabilities in the population may serve as barriers preventing certain individuals from participating in mitigation activities. Therefore, functional response plans must be capable of reaching vulnerable populations.Transportation vulnerability results from lack of access to transportation. Transportation vulnerable populations located too far from mitigation resources are at-risk of not being able to participate in mitigation activities. Quantification of these populations requires the development of computational methods to integrate spatial demographic data and transportation resource data from disparate sources into the context of planned mitigation efforts. Research described in this dissertation focuses on quantifying transportation vulnerable populations and maximizing participation in response efforts. Algorithms developed as part of this research are integrated into a computational framework to promote a transition from research and development to deployment and use by biological emergency planners.
Contributing Partner: UNT Libraries
UNT Research, Volume 23, 2014

UNT Research, Volume 23, 2014

Date: 2014
Creator: University of North Texas
Description: UNT Research magazine includes articles and notes about research at University of North Texas in various academic fields.
Contributing Partner: University Relations, Communications & Marketing department for UNT
UNT Research, Volume 19, 2010

UNT Research, Volume 19, 2010

Date: 2010
Creator: University of North Texas
Description: UNT Research magazine includes articles and notes about research at University of North Texas in various academic fields.
Contributing Partner: University Relations, Communications & Marketing department for UNT
UNT Research, Volume 22, 2013

UNT Research, Volume 22, 2013

Date: 2013
Creator: University of North Texas
Description: UNT Research magazine includes articles and notes about research at University of North Texas in various academic fields.
Contributing Partner: University Relations, Communications & Marketing department for UNT
Graduate Catalog of the University of North Texas, 2010-2011

Graduate Catalog of the University of North Texas, 2010-2011

Date: July 2010
Creator: University of North Texas
Description: The UNT Graduate Bulletin includes information about class offerings as well as "policies, regulations, procedures and fees in effect at the time [the] publication went to press" (p. 1). Index starts on page 494.
Contributing Partner: UNT Libraries