A Bibliographic and Visual Exploration of the Historic Impact of Soft Systems Methodology on Academic Research and Theory (open access)

A Bibliographic and Visual Exploration of the Historic Impact of Soft Systems Methodology on Academic Research and Theory

This article produced descriptive narrative outcomes and data visualizations including information about top soft system methodology (SSM) authors, author citation impacts, common dissemination outlets for SSM work, and other relevant metrics commonly used to measure academic impact. The goal of this piece is to depict who, what, why, when, and where SSM had the greatest impact on research, systems thinking, and methodology after nearly 40 years of use, as we look towards its future as a methodological approach used to comprehend complex problem situations.
Date: December 12, 2018
Creator: Warren, Scott J.; Sauser, Brian & Nowicki, David
System: The UNT Digital Library
Organization of knowledge and information in digital archives of language materials (open access)

Organization of knowledge and information in digital archives of language materials

This article reports the first empirical investigation of various dimensions of organization and representation of recorded knowledge and information in language archives. The study used a combination of semi-structured interviews and content analysis. Results demonstrate that, while some of the phenomena related to organization of information in language archives are specific to these types of archives, others are more typical and have been addressed by libraries in past research and practice.
Date: April 13, 2021
Creator: Burke, Mary; Zavalina, Oksana; Phillips, Mark Edward & Chelliah, Shobhana Lakshmi
System: The UNT Digital Library
Comparison of glide path and pathfiles in canal preparation by cone-beam computed tomography: An original research (open access)

Comparison of glide path and pathfiles in canal preparation by cone-beam computed tomography: An original research

This article is a study describing the canal transportation of the different file systems in various combinations of the “Glide path (Gp)” by cone-beam computed tomography (CBCT).
Date: July 13, 2022
Creator: Uppalapati, Vishwaja; Chhaparwal, Amit; Ahmed, Siddiq; Shariff, Suhail; Pallewar, Abhijit Mallesham; Mustafa, Mohammed et al.
System: The UNT Digital Library
Enhancement of COVID-19 Diagnosis using Machine Learning and Texture Analyses of Lung Imaging (open access)

Enhancement of COVID-19 Diagnosis using Machine Learning and Texture Analyses of Lung Imaging

Article proposing CoviSegNet, an enhanced U-Net model to segment ground-glass opacities and consolidations in CT scans of Covid-19 positive patients. The performance of CoviSegNet was evaluated on three public CT datasets. The experimental results show that the proposed CoviSegNet is highly promising.
Date: 2021-09-13/2021-09-15
Creator: Oh, JungHwan & Mittal, Bhuvan
System: The UNT Digital Library