Use of prior odds for missing persons identifications

Use of prior odds for missing persons identifications

Date: June 27, 2011
Creator: Budowle, Bruce; Ge, Jianye; Chakraborty, Ranajit & Gill-King, Harrell
Description: This article discusses the use of DNA typing, likelihood ratios, and prior odds for missing persons identifications.
Contributing Partner: UNT College of Arts and Sciences
Using GIS technology to identify areas of tuberculosis transmission and incidence

Using GIS technology to identify areas of tuberculosis transmission and incidence

Date: October 13, 2004
Creator: Moonan, Patrick K.; Bayona, Manuel; Quitugua, Teresa N.; Oppong, Joseph R.; Dunbar, Denise; Jost, Kenneth C. et al.
Description: This article discusses using GIS technology to identify areas of tuberculosis transmission and incidence.
Contributing Partner: UNT College of Arts and Sciences
Pediatric functional magnetic resonance neuroimaging: tactics for encouraging task compliance

Pediatric functional magnetic resonance neuroimaging: tactics for encouraging task compliance

Date: 2011
Creator: Schlund, Michael W.; Cataldo, Michael F.; Siegle, Greg J.; Ladouceur, Cecile D.; Silk, Jennifer S.; Forbes, Erika E. et al.
Description: This article discusses tactics for encouraging compliance in pediatric functional magnetic resonance neuroimaging.
Contributing Partner: UNT College of Arts and Sciences
Tracembler - software for in-silico chromosome walking in unassembled genomes

Tracembler - software for in-silico chromosome walking in unassembled genomes

Date: May 2007
Creator: Dong, Qunfeng; Wilkerson, Matthew D. & Brendel, Volker
Description: This article discusses Tracembler, a software developed by the authors, that facilitates in silico chromosome walking by recursively assembling reads of a selected species from the NCBI Trace Archive starting with reads that significantly match sequence seeds supplied by the user.
Contributing Partner: UNT College of Arts and Sciences
Theoretical derivation of EMOTION-I model for emotional feel of sensation

Theoretical derivation of EMOTION-I model for emotional feel of sensation

Date: July 11, 2008
Creator: Tam, Nicoladie D.
Description: This article accompanies a poster presentation on the theoretical derivation of EMOTION-I model for emotional feel of sensation. The first of a series of emotional models called "Emotional Model of The Theoretical Interpretation Of Neuro-processing" (EMOTION-I) is derived theoretically to address the origin of emotions in evolutionary process. It is based on first principles without any 'a priori' assumptions about what emotions are and what they are used for. The model is derived based on the necessary principles essential for the survival of an autonomous system (either an organism or an autonomous robot) when interacting with the real-world environment.
Contributing Partner: UNT College of Arts and Sciences
Quantification of emotional bias by an Emotional-Gain Model

Quantification of emotional bias by an Emotional-Gain Model

Date: July 18, 2011
Creator: Tam, Nicoladie D.
Description: This article accompanies a poster presentation on the quantification of emotional bias by an Emotional-Gain model. The authors have developed a computational model that quantifies emotion objectively based on neurobiological mechanisms that increases the chance of survival in the real world. This model is based on the EMOTION-I and EMOTION-II models with the extension of proportionality hypothesis added to the desirable gain signal to these models.
Contributing Partner: UNT College of Arts and Sciences
The Economic impact of ME/CFS: Individual and societal costs

The Economic impact of ME/CFS: Individual and societal costs

Date: April 8, 2008
Creator: Jason, Leonard A.; Benton, Mary C.; Valentine, Lisa M.; Johnson, Abra & Torres-Harding, Susan
Description: This article discusses the economic impact of Myalgic Encephalopathy and Chronic Fatigue Syndrome by examining the direct and indirect costs to the individual and to society.
Contributing Partner: UNT College of Arts and Sciences
Use of tree-based models to identify subgroups and increase power to detect linkage to cardiovascular disease traits

Use of tree-based models to identify subgroups and increase power to detect linkage to cardiovascular disease traits

Date: December 31, 2003
Creator: Costello, Tracy Jennifer; Swartz, Michael D.; Sabripour, Mahyar; Gu, Xiangjun; Sharma, Rishika & Etzel, Carol J.
Description: This article discusses the use of tree-based models to identify subgroups and increase power to detect linkage to cardiovascular disease traits.
Contributing Partner: UNT College of Arts and Sciences
Theoretical derivation of EMOTION-II model for happy and unhappy emotions

Theoretical derivation of EMOTION-II model for happy and unhappy emotions

Date: July 11, 2008
Creator: Tam, Nicoladie D.
Description: This article accompanies a poster presentation on theoretical derivation of EMOTION-II model for happy and unhappy emotions. The second of a series of emotional models called "Emotional Model of Theoretical Interpretation Of Neuroprocessing" (EMOTION-II) is derived theoretically to address the emergency of happy and unhappy emotions based on the first principles without any 'a priori' assumptions about what these emotions are and what they are used for.
Contributing Partner: UNT College of Arts and Sciences
A self-adaptive burst-detection algorithm

A self-adaptive burst-detection algorithm

Date: July 6, 2007
Creator: Tam, Nicoladie D.
Description: This article accompanies a poster presentation on a self-adaptive burst-detection algorithm. A self-adaptive, time-scale invariant single-unit spike train analysis technique is introduced to detect burst firings in neurons. This burst-detection method is an adaptive algorithm that uses the characteristic firing patterns statistics within and between bursts to identify the inter-burst period, intra-burst period and burst duration.
Contributing Partner: UNT College of Arts and Sciences
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