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9,535 Matching Results
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[Poster Created by the Denton Left Organization Advertising the Denton Free Store]
Photograph of poster created by the Denton Left organization advertising the Denton Free Store.
Date:
November 15, 2023
Creator:
Westfall, Jacob
Object Type:
Photograph
System:
The UNT Digital Library
Posthuman Art Conservation Curriculum
At least half of the art objects in the public trust are currently in need of conservation today. In consideration of this crisis, a posthuman version of art conservation curriculum is proposed to transgress current limitations of the field. Through applying Michel Foucault's genealogy and archaeology to art conservation and its education, Anthropocentric motivations undergirding conservation are revealed. Foucault's death meditation inspires my narrativization of a fire event that incites a re-visioning of my over 25 years of conservation and teaching experience. By re-contextualizing theorist Ted Aoki's works, art conservation curriculum becomes a reflective and affective site for reciprocal healing of self and other, incorporating the lives of conservation students and art objects. Reconsidering art conservation curriculum in light of Aokian notions of curriculum as plan and curriculum as lived, provokes the curricular potentialities of new materialism, along with quantum physics' entanglement, intra-agency and intra-activity for the field. Art conservation and its curriculum are radically reimagined as indwelling between humanist priorities of the Anthropocene and posthumanist possibilities towards more caring, ethical and sustainable futures for both human and nonhumans' coexistence on this planet.
Date:
December 2022
Creator:
Peck, Scott Joseph
Object Type:
Thesis or Dissertation
System:
The UNT Digital Library
Postmodernity and Pakistani Postmodernist Literature
Though scholars have discussed postmodernism in Islam and South Asia before, they tend to (i) assume Muslims as a monolithic group, bypassing the diversity of different cultures and the interaction of these cultures with indigenous practices of Islam; (ii) study postmodernity synchronically, thereby eliding histor(ies) and the possibility of multiple temporalities; and (iii) compare postmodernity in non-Western countries with Western standards, and when these countries fail this test, declare them not-yet-postmodern, or even modern. Negligible and scant discussions of postmodernity that do take place inside Pakistan, most of which are published in newspaper articles, tend to focus on Western postmodernity and its evolution and contemporary position. There is no book-length discussion of postmodernity and postmodernist literary texts from Pakistan and its curious sociopolitical blend of Indo-Muslim and Anglo-Indian influences and interaction with the Islamic political foundations of the country. This project discusses postmodernity and postmodern literature in Pakistan. I argue that, because of a different political, cultural, and literary climate, postmodernity and postmodern literature in Pakistan are distinct from their Western counterparts. Because of technological advancement and neoliberal globalization, Pakistan experiences a different kind of postmodernity resulting in the production of a different kind of postmodern literature. I trace the …
Date:
August 2020
Creator:
Shagufta, Iqra
Object Type:
Thesis or Dissertation
System:
The UNT Digital Library
Postscript to the Ellis family book
Postscript describing the research methods used to write the Ellis Family Story. Chatman details the individuals who helped along the way and the places he did research.
Date:
2021
Creator:
Chatman, Melvin R.
Object Type:
Text
System:
The Gateway to Oklahoma History
Potential Evapotranspiration Reduction and Its Influence on Crop Yield in the North China Plain in 1961–2014
Article examines the spatiotemporal characteristics of climate variables, such as humidity index, precipitation, and potential evapotranspiration (ET0) from 1961 to 2014 in the North China Plain (NCP).
Date:
March 16, 2020
Creator:
Dong, Wanlin; Li, Chao; Hu, Qi; Pan, Feifei; Bhandari, Jyoti & Sun, Zhigang
Object Type:
Article
System:
The UNT Digital Library
The Power of Choice: An Examination of a Hybrid Recess/Tutorial Program at a Suburban High School in the Southwestern United States
A suburban district in the southwestern region of the United States created a choice-based program in which students have the opportunity to address their social, emotional, and academic needs through a mid-day period where they have the ability to attend tutorials or engage in a variety of club and social activities. Each day, students choose the activity that best serves their needs, be those academic, social, or emotional. In order to determine students' attitudes, opinions, and uses of the program in an effort to improve its effectiveness for student success, this qualitative study was planned to respond to the research questions: (1) how do students spend the emPower period? and (2) what are students' thoughts, attitudes, and opinions with regards to emPower? The research began by examining student responses to a previous principal survey asking their opinions on the program. Following the analysis of the survey, focus group sessions of five students from each high school grade were held to discuss student perceptions, choices, and uses of the program. The discussions were audiotaped and transcribed. Thematic data analysis resulted in themes of stress, social life, environment, regulations, choice and tutorials. Findings included a continuum of maturity evident with students' choices …
Date:
May 2020
Creator:
Woodard, Chrystal Starnes
Object Type:
Thesis or Dissertation
System:
The UNT Digital Library
The Power of Images: From Postmodern Art to Memes
This chapter examines the elements of visual grammar used in advertising media and postmodern art that is now used to create powerful memes.
Date:
2021
Creator:
Barham, Rebecca; Guo, Xuan & Mikler, Armin R.
Object Type:
Book Chapter
System:
The UNT Digital Library
PPAD: a deep learning architecture to predict progression of Alzheimer’s disease
Article asserts that Alzheimer’s disease (AD) is a neurodegenerative disease that affects millions of people worldwide. The authors of the article propose two deep learning architectures based on RNN, namely Predicting Progression of Alzheimer’s Disease (PPAD) and PPAD-Autoencoder.
Date:
June 30, 2023
Creator:
Olaimat, Mohammad Al; Martinez, Jared; Saeed, Fahad & Bozdag, Serdar
Object Type:
Article
System:
The UNT Digital Library
A practical guide for assessing respiratory burst and phagocytic cell activity in the fathead minnow, an emerging model for immunotoxicity
Article is a study with the goal of optimizing and validating the use of a colorimetric plate-based respiratory burst and fluorometric plate-based phagocytic cell activity assays for use with kidney cells from the fathead minnow (Pimephales promelas), an emerging immunotoxicity model.
Date:
July 18, 2020
Creator:
Thornton Hampton, Leah M.; Venables, Barney J. & Jeffries, Marlo K. Sellin
Object Type:
Article
System:
The UNT Digital Library
The Practice of Content-Driven Composition for Instrument and Computer
Two compositions, live electronic music for instrument and computer, have been analyzed in the essay to reflect one of my aesthetics principles, content-driven composition, and the solutions that the I have applied to solve the problems which have occurred in practice. By content-driven, I mean that compositional process, material, mood, and affect are expressions of content drawn from visual art, literature, nature, religion, traditional aesthetics and other non-musical sources. During the journey of exploration, I was often deeply moved and inspired by a historical moment, a real-world story, a film, a poem, a statement, an image, a piece of music, or a natural law. In content-driven works, these elements play a major role in the creative processes.
Date:
May 2022
Creator:
Shen, Qi
Object Type:
Thesis or Dissertation
System:
The UNT Digital Library
Pre-Service Elementary Teachers' Core Science Teaching Practices to Develop Scientific Literacy: A Disciplinary Literacy Framework Analysis
Every citizen has the right to be equipped with scientific literacy to understand and make informed decisions within the discipline of science. Educators can utilize core science teaching practices (CSTPs) to develop scientific literacy. In response, this study identified the CSTPs utilized by preservice elementary teachers (PSETs) to develop scientific literacy during their spring 2022 student teaching semester. Furthermore, this study identified contextual constructs that led to the utilization of the CSTPs to develop scientific literacy. The study used a qualitative exploratory case study using semi-structured interviews as the primary data. Surveys and artifacts were used as supporting secondary data. The identification of CSTPs and their contextual constructs were conducted using inductive content analysis. Afterward, the identified CSTPs and their contextual constructs were deconstructed, interpreted, and synthesized through the critical theoretical framework of disciplinary literacy. Relationships, time, school structure, and community were contextual constructs that enabled and disabled PSETs' utilization of CSTPs to develop scientific literacy. The contextual constructs are represented using the Framework to Develop Scientific Literacy (FDSL). The FDSL contain contextual constructs that enabled PSETs to utilize CSTPs through the sharing of power between the PSET and their cooperating teacher, school district, community, or teacher education programs. In …
Date:
December 2022
Creator:
Ham, Chris D.
Object Type:
Thesis or Dissertation
System:
The UNT Digital Library
Prebiotic/probiotic supplementation resulted in reduced visceral fat and mRNA expression associated with adipose tissue inflammation, systemic inflammation, and chronic disease risk
Article describes how prebiotic/probiotic supplementation represents a viable option for addressing elevated systemic inflammation and chronic disease risk in overweight individuals. The key findings support that 90-day prebiotic/probiotic supplementation may be associated with reduced adipose tissue inflammation, reduced systemic inflammation, and reduced chronic disease risk.
Date:
November 28, 2022
Creator:
McFarlin, Brian K.; Tanner, Elizabeth A.; Hill, David W. & Vingren, Jakob L.
Object Type:
Article
System:
The UNT Digital Library
Predation of livestock by puma (Puma concolor) and culpeo fox (Lycalopex culpaeus): numeric and economic perspectives
Article studies predation on livestock by wild carnivores in Sajama National Park (SNP), Bolivia. The authors monitored predation and other causes of livestock mortality in 33 ranches for one year and estimated biomass of livestock and wild prey and monetary losses.
Date:
2020
Creator:
Jiménez, Jaime E.; Gallardo, Giovana; Pacheco, Luis F. & Rios, Rodrigo S.
Object Type:
Article
System:
The UNT Digital Library
Predicting Criminal Activities in Darknet Markets: Advancing Knowledge and Tools for Activities Monitoring
Data management plan for the grant, "Predicting Criminal Activities in Darknet Markets: Advancing Knowledge and Tools for Activities Monitoring."
Date:
2022-03-01/2023-02-28
Creator:
Ogbanufe, Obi
Object Type:
Text
System:
The UNT Digital Library
Predicting incident cardiovascular disease among African-American adults: A deep learning approach to evaluate social determinants of health in the Jackson heart study
Article describes how the authors' study sought to leverage machine learning approaches to determine whether social determinants of health improve prediction of incident cardiovascular disease (CVD). Participants in the Jackson Heart study with no history of CVD at baseline were followed over a 10-year period to determine first CVD events.
Date:
November 10, 2023
Creator:
Morris, Matthew C.; Moradi, Hamidreza; Aslani, Maryam; Sims, Mario; Schlundt, David; Kouros, Chrystyna D. et al.
Object Type:
Article
System:
The UNT Digital Library
Predicting initial dissolution rates using structural featuresfrom molecular dynamics simulations
Article states that predicting the chemical durability of glass materials is important for various applications from daily life such as cell phone screens and kitchenware to advanced technologies such as nuclear waste disposal and biomedicine. In this work, we explored the prediction of the initial glass dissolution rates using structural features from molecular dynamics (MD) simulations for a series of glass compositions (total 28), including ZrO2- and V2O5-containing boroaluminosilicate, borosilicate, and aluminosilicate glasses.
Date:
October 17, 2022
Creator:
Lu, Xiaonan; Deng, Lu; Gin, Stéphane; Parruzot, Benjamin; Reiser, Joelle T.; Ryan, Joseph V. et al.
Object Type:
Article
System:
The UNT Digital Library
Predicting psoriasis using routine laboratory tests with random forest
Article describes how psoriasis is a chronic inflammatory skin disease that affects approximately 125 million people worldwide. The goal of the authors' study is to derive a powerful predictive model for psoriasis disease based on only routine hospital tests.
Date:
October 19, 2021
Creator:
Zhou, Jing; Li, Yuzhen & Guo, Xuan
Object Type:
Article
System:
The UNT Digital Library
Predicting Student Success with and without Library Instruction
Conference proceedings paper sharing a study to determine the impact that "one-shot" library instruction sessions had on students' success in two foundational English courses. Overall, attendance in library instruction had a small but statistically significant impact on student success metrics. The main purpose of this analysis was to demonstrate the value of predictive modeling of student success and identify the key groups for which library instruction could provide the most impact. This is the accepted manuscript version of the final paper.
Date:
2023
Creator:
Harker, Karen; Rowe, Jennifer & Hargis, Carol
Object Type:
Paper
System:
The UNT Digital Library
Prediction is Not Enough: Towards the Development of a Multi-Faceted, Theoretical Model of Aggression and Violence
Violence and aggression continue to be both public health and economic concerns. The field of violence prediction has undergone a series of changes in an attempt to best assess risk including using unstructured clinical judgment, actuarial measures, and structured professional judgment. Although prediction has become more accurate with improved measures, a new generation has recently emerged with an emphasis on understanding violence, as opposed to merely predicting it, to shift the focus towards violence prevention. In addition to the creation of measures, researchers have sought to identify specific risk factors for aggression and violence including static and dynamic risk factors. Despite research demonstrating associations between neuropsychological and social-cognitive factors, violence risk measures continue to omit these variables. The current study developed a multi-faceted, theoretical model of aggression including social-cognitive, neuropsychological, personality, and psychiatric factors. A community, male sample (N = 1,192) collected through Amazon's MTurk responded to a series of self-report measures and neuropsychological tasks. Utilizing structural equation modeling (SEM), I created a model predicting aggression. Several important paths were significant including from entity theory to aggression, mediated by hostile attribution bias, schizotypy to aggression, mediated by both hostile attribution bias and disinhibition, substance use to aggression mediated by disinhibition, …
Date:
August 2022
Creator:
Cohn, Jonathan Reed
Object Type:
Thesis or Dissertation
System:
The UNT Digital Library
Prediction of Concrete Bridge Deck Condition Ratting Based on Climate Data in Addition to Bridge Data: Five States as a Case Study
Evaluating the impact of learning from climate data, in addition to bridge data, on the performance of concrete deck condition rating prediction is critical for identifying the right data needed to enhance bridge maintenance decision making. Few studies have considered such an evaluation and utilized a small size of samples that prevent revealing the knowledge hidden within the big size of data. Although, such evaluation over big data seems quite necessary, class imbalance problem makes it challenging. To alleviate such a problem, five states, including Alabama, Iowa, New York, Pennsylvania, and South Carolina, were selected as the case study. Not only are the states located in three different climatically consistent regions defined by the National Ocean and Atmospheric Administration (NOAA), but also their concrete deck conditions ratings are somewhat balanced. To conduct the evaluation, this research developed the bridge data set pertaining to 56,288 bridges across the afore-mentioned states through employing the GIS technology. The bridge data set contains bridge data derived from National Bridge Inventory (NBI), and climate data derived from Parameter-elevation Relationships on Independent Slopes Model (PRISM) climate maps and NOAA. Then, two machine learning algorithms, including random forest and GBM, were trained - with and without climate …
Date:
June 2022
Creator:
Fard, Fariba
Object Type:
Text
System:
The UNT Digital Library
Predictive Modeling of Novel Mutations to DNA-Editing Metalloenzymes and Development of Improved QM/MM Methods
Molecular dynamics simulations and QM/MM calculations can provide insights into the structure and function of enzymes as well as changes due to mutations of the protein sequence.
Date:
December 2021
Creator:
Hix, Mark Alan
Object Type:
Thesis or Dissertation
System:
The UNT Digital Library
Predictors of Academic Success in an Early College Entrance Program
Early college entrance programs have existed in the United States since the 1950s, but in-depth research on academic success in these programs is lacking. Every year, early college entrance programs utilize a variety of data-gathering and candidate-screening techniques to select hundreds of students for admission into these accelerated programs. However, only a smattering of research articles has discussed the factors that predict academic success in these programs. This exploratory study investigated commonly-relied-upon admissions data points—such as high school GPA and ACT scores—and demographic information—such as sex, ethnicity, and locality—to see if any of these factors predicted academic success: namely, graduation and early college entrance program GPA. Secondary data from nearly 800 students admitted over an 11-year period to a state-supported, residential early college entrance program located at a large Southern university in the United States were utilized for this study. Logistic regression failed to yield a model that could accurately predict whether or not a student would graduate from the program. Multiple regression models showed that high school GPA and ACT scores were predictive of performance, and that factors like locality and ethnicity can have predictive power as well. However, the low variance in performance explained by the variables included …
Date:
December 2023
Creator:
Earls, Samuel Wayne
Object Type:
Thesis or Dissertation
System:
The UNT Digital Library
Predictors of Overnight and Emergency Treatment among Homeless Adults
This article aims to identify the sociodemographic predictors associated with overnight and emergency hospital treatment among a sample of homeless adults.
Date:
May 5, 2020
Creator:
Iwundu, Chisom N.; Agrawal, Pooja; Businelle, Michael S.; Kendzor, Darla E. & Reitzel, Lorraine R.
Object Type:
Article
System:
The UNT Digital Library
Predictors of Perfectionistic Tendencies in Sport among Undergraduate Kinesiology Students
The purpose of this study was to examine current kinesiology students' athletic identity, identity foreclosure, perceived task value in sport, and perfectionism. An online survey was distributed via email to current kinesiology students. The survey contained questions regarding demographic information and items from the Athletic Identity Measurement Scale, Extended Objective Measure of Ego Identity Status, Perceived Task Value in Sport, Sport Multidimensional Perfectionism Scale-2, and Multidimensional Inventory of Perfectionism in Sport. Results of the Pearson moment correlations indicated that the higher the athletic identity, the higher the subjective task value, identity foreclosure, perfectionistic strivings, and perfectionistic concerns. Multiple regression analyses were performed to further examine the predictive power of athletic identity, subjective task value, and identity foreclosure for perfectionistic strivings and perfectionistic concerns. Results indicated that athletic identity and subjective task value were significant predictors of perfectionistic strivings. Results also showed that athletic identity and identity foreclosure were significant predictors of perfectionistic concerns. Future research should replicate the study using participants from different geographical regions. Furthermore, future research should consider a longitudinal and qualitative study to investigate the development of subjective task value in sport.
Date:
August 2020
Creator:
Boyd, Christopher A.
Object Type:
Thesis or Dissertation
System:
The UNT Digital Library