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Articles 271 - 300 of 9913
Full-Text Articles in Entire DC Network
Educational Technology In Peer-Led Academic Support In Higher Education: The Impact Of Technology-Focused Training On Peer Educators’ Session Plans, Christopher Gulino
Educational Technology In Peer-Led Academic Support In Higher Education: The Impact Of Technology-Focused Training On Peer Educators’ Session Plans, Christopher Gulino
Theses and Dissertations
Students interact with technology daily; whether that is in the classroom, engaging with classmates, or studying material. Although technology has been widely adopted across the field of higher education, it has not been widely utilized to engage with students through the peer-to-peer support model. The purpose of this action research was to evaluate the implementation of educational technology training and its effect on undergraduate peer educators’ confidence to utilize technology in their plans for their peer-to-peer support sessions at a university in the southeast of the United States of America. The research will address the following research questions: How confident …
The Impact Of Students' Attendance On Their Academic Success: A Ypar Study, Quennella Smith
The Impact Of Students' Attendance On Their Academic Success: A Ypar Study, Quennella Smith
Theses and Dissertations
Youth participatory action research (YPAR) is a collaborative research approach that empowers students to examine issues affecting their lives and communities. This action research aimed to investigate the relationship between students’ attendance and academic success on middle school students, focusing specifically on eighth-grade students based on the theoretical framework of the critical race theory (CRT) in education and the self-determination theory (SDT). Three research questions were explored related to the impact of students’ attendance on their academic success: 1) What do students consider factors that lead to their poor attendance? 2) How do students feel they can be supported in …
First Detrital Zircon Provenance Data From Oligocene-Pleistocene Sediment In The Beaufort-Mackenzie Basin, Arctic Ocean, Joseph Martina
First Detrital Zircon Provenance Data From Oligocene-Pleistocene Sediment In The Beaufort-Mackenzie Basin, Arctic Ocean, Joseph Martina
Theses and Dissertations
Sediment, runoff, and nutrient input to the Arctic Ocean plays a critical role in both physical and biological processes that impact regional and global systems. The Beaufort-Mackenzie Basin, situated in the Arctic Ocean offshore northwestern Canada, contains more than 14 km of clastic strata and provides a record of erosion and sediment transport from the Cretaceous to present. Pliocene sedimentation rates within the basin jump nearly 2000% relative to underlying units, but the cause of this shift remains unknown. We used cuttings from the N. Issungnak L-86 well, focusing on the Oligocene-lower Miocene Kugmallit and Mackenzie Bay sequences and the …
Novel Approaches To Combat Neuro-Degradation: Investigations Of Two Supplemental Strategies Aimed At Improving Warfighter Performance, Blaine Lints
Theses and Dissertations
This dissertation examines the efficacy of two distinct nutritional supplementation strategies for improving physical and/or cognitive performance under stress. The first study investigated the effects of 150 mg caffeine plus 150 mg theacrine ingestion in tactically trained individuals. Results indicated that the combination of caffeine and theacrine was associated with significant improvements in reaction time, accuracy, and measures of ocular control following high-intensity interval (HII) exercise. The HII exercise protocol consisted of ten repetitions of 60s high-intensity intervals (≥90% maximal oxygen uptake [VO2max]) followed by 120s low-intensity intervals (~40% VO2max) on a treadmill. These benefits were …
Understanding Community College Students’ Thoughts And Motivations Regarding Tutoring In An Undergraduate Mathematics Course, Whitney Paige Cherekos
Understanding Community College Students’ Thoughts And Motivations Regarding Tutoring In An Undergraduate Mathematics Course, Whitney Paige Cherekos
Theses and Dissertations
This mixed-methods study examines community college students’ thoughts and motivations regarding tutoring, with the aim of identifying disparities in tutoring utilization and engagement at a community college in North Carolina. The purpose of the dissertation is to evaluate tutoring effectiveness and explore students’ perceptions of tutoring. The findings of this study led to proposed solutions to reduce or eliminate the barriers that today’s community college students encounter when needing academic support.
To evaluate tutoring effectiveness, I collected quantitative data from institution registration reports, transcripts, tutoring logs, and an anonymous student survey for students enrolled in multiple sections of a single …
Hydrogen Permeation And Mechanical Behavior Of Hydrogen-Charged Cr-Coated And Oxidized Zr-Alloy Fuel Cladding, Daniel Cole Viands
Hydrogen Permeation And Mechanical Behavior Of Hydrogen-Charged Cr-Coated And Oxidized Zr-Alloy Fuel Cladding, Daniel Cole Viands
Theses and Dissertations
Following the Fukushima nuclear accident in 2011, accident tolerant fuel (ATF) became a major research interest to enhance the safety of light water reactors. Because the current fleet of light water reactors and their associated fuel cycle infrastructure are well-established, developing ATF that does not significantly alter the current fuel form or change its supporting infrastructure is ideal. Cr-coated Zircaloy fuel cladding is therefore an excellent short-term solution to enhance accident tolerance. Thin layers of Cr-coating offer notable resistance to corrosion, high-temperature oxidation, physical wear, and hydrogen permeation. Cold spray (CS) and physical vapor deposition (PVD) are two well-established Cr-coating …
Getting Poked (Lovingly) With A Stick: A Study Of Parental Involvement During First-Year Students’ College Transitions, Mary Ellis Glymph
Getting Poked (Lovingly) With A Stick: A Study Of Parental Involvement During First-Year Students’ College Transitions, Mary Ellis Glymph
Theses and Dissertations
In recent years, some higher education professionals have observed an increase in parental involvement in the lives of their students during their transition to college. While involved parents are sometimes referred to as “helicopter parents,” this new generation of parents often fits more into the label of “snowplow parents” or “lawnmower parents.” This sort of over-involvement impacts students’ personal and academic development far beyond high school graduation; during college, students can struggle to adjust to new levels of academic rigor, but they can also struggle with self-confidence and internal motivation due to their lack of experience with addressing their own …
Spatio-Temporal Modeling & Goodness Of Fit Testing For Ecological Fire Data, Jedidiah Olof Lindborg
Spatio-Temporal Modeling & Goodness Of Fit Testing For Ecological Fire Data, Jedidiah Olof Lindborg
Theses and Dissertations
An analysis of fire data sets resulting from controlled burns was performed. Spatio-temporal models were applied to the data sets to determine which covariates are significant in predicting fire temperature. The data sets were censored and only contain temperatures above 300C, due to a limitation in the measuring device. To handle the censoring, an extrapolation was used to reconstruct the temperatures below 300C. Models were created and run for a data set with the extrapolated temperatures and a data set with all censored temperatures removed. Several aspects of the model were evaluated, such as the chosen hyperparameters, the spatial covariance …
Multi-Dimensional Strategies Impacting Beginning Readers’ Word Solving And Engagement, Brooke Clayton
Multi-Dimensional Strategies Impacting Beginning Readers’ Word Solving And Engagement, Brooke Clayton
Theses and Dissertations
This dissertation studied the impact of reading instruction on beginner-level readers’ decoding skills and engagement among four first-grade students in Lexington, South Carolina. The following research question directed the study:
Will an instructional strategy foregrounded on direct, systematic phonics instruction in conjunction with multi-dimensional reading strategies improve beginner readers’ decoding skills and engagement?
The study is grounded in several theoretical frameworks, including Scarborough’s Reading Rope (Appendix A), the Simple View of Reading, the Active View of Reading (Appendix C), Onset-Rime phonics instruction, and Self-Determination Theory. Interventions included the LETRS Science of Reading Phonics Small Group Plan (Moats & Tolman, 2019) …
Filling In The Gaps: Evaluating A Self-Regulated Learning Strategy For Middle School Students Using Action Research, Leslie Eller Southerland
Filling In The Gaps: Evaluating A Self-Regulated Learning Strategy For Middle School Students Using Action Research, Leslie Eller Southerland
Theses and Dissertations
The purpose of this action research study was to evaluate the effects of a self-regulated learning innovation on middle school students’ self-regulated learning skills. One way to address problems such as student motivation, student engagement, and distracting behaviors in the classroom is to explicitly teach self-regulated learning skills such as goal setting, strategy use, self-monitoring, and systematic practice. Two research questions guided this study: (1) How and to what extent does a self-regulated learning innovation impact 7th and 8th grade students’ self-regulated learning skills (planning, self-monitoring, evaluation, reflection)? (2) In what ways do 7th and 8th grade students …
Functional Data Analysis On Life Expectancy And Healthcare Expenditure, Hagen Sanchez
Functional Data Analysis On Life Expectancy And Healthcare Expenditure, Hagen Sanchez
Theses and Dissertations
This study analyzes the life expectancy for 237 countries from 1950-2023 and the healthcare expenditure for 50 countries from 1970-2022, and how life expectancy and healthcare expenditure relate to each other. Functional Principal Components Analysis was used to analyze the life expectancy and healthcare expenditure for each of the countries. Additionally, the regions of the countries were analyzed to identify any regional trends for the life expectancy data. Due to missing data and the structure of the healthcare data, multiple imputation methods and Principal Component Analysis techniques were explored for the healthcare data. Furthermore, a simulation study was conducted to …
Approaches To Enhancing Multiple Hypothesis Testing Methods With Side-Information, Siyu Zheng
Approaches To Enhancing Multiple Hypothesis Testing Methods With Side-Information, Siyu Zheng
Theses and Dissertations
Lesion-symptom mapping (LSM) studies offer insight into the brain areas involved in various aspects of cognition. This is commonly done via behavioral testing in patients with a naturally occurring brain injury or lesions (e.g., strokes or brain tumors). This results in high-dimensional observational data where lesion status (present/absent) is non-uniformly distributed, with some voxels having lesions in very few (or no) subjects. In this situation, mass univariate hypothesis tests have severe power heterogeneity where many tests are known a priori to have little to no power. Additionally, high-dimensional observational data can be grouped according to brain anatomical structure.
In this …
The Impact Of Teachers’ Cultural Competence On Curriculum Development In Advanced English Courses, Rhine D. Kirkland
The Impact Of Teachers’ Cultural Competence On Curriculum Development In Advanced English Courses, Rhine D. Kirkland
Theses and Dissertations
As student demographics become increasingly more diverse, it is imperative that classroom teachers are responsive to the needs of learners from varied backgrounds. The purpose of this study was to examine the impact of teachers’ cultural competence on their curriculum development in advanced English courses. This case study provided insight on the use of administrative instructional coaching as a professional learning approach to aid in teachers’ creation and implementation of culturally responsive curriculums based on the tenets of Culturally Relevant Pedagogy. The analysis and triangulation of survey, interview, document, and observation data yielded key themes regarding the considerations and conditions …
A Neuro-Symbolic Ai Approach To Scene Understanding In Autonomous Systems, Ruwan Tharanga Wickramarachchige Don
A Neuro-Symbolic Ai Approach To Scene Understanding In Autonomous Systems, Ruwan Tharanga Wickramarachchige Don
Theses and Dissertations
Effectively understanding scenes requires a unified representation of scene data and background knowledge. A neuro-symbolic AI approach to scene understanding leverages such a unified representation to enable advanced expression, inference, and labeling of scenes, improving the perception of autonomous systems.
Scene understanding remains a central challenge in the machine perception of autonomous systems. It requires the integration of multiple sources of information, background knowledge, and heterogeneous sensor data to perceive, interpret, and reason about both physical and semantic aspects of dynamic environments. Current approaches to scene understanding primarily rely on computer vision and deep learning models that operate directly on …
Sepsis: I Can Catch Your Lies – A New Paradigm For Deception Detection, Anku Rani, Dwip Dalal, Shreya Gautam, Pankaj Gupta, Vinija Jain, Aman Chadha, Amitava Das, Amit P. Sheth
Sepsis: I Can Catch Your Lies – A New Paradigm For Deception Detection, Anku Rani, Dwip Dalal, Shreya Gautam, Pankaj Gupta, Vinija Jain, Aman Chadha, Amitava Das, Amit P. Sheth
Publications
Deception is the intentional practice of twisting information. It is a nuanced societal practice deeply intertwined with human societal evolution, characterized by a multitude of facets. This research explores the problem of deception through the lens of psychology, employing a framework that categorizes deception into three forms: lies of omission, lies of commission, and lies of influence. The primary focus of this study is specifically on investigating only lies of omission. We propose a novel framework for deception detection leveraging NLP techniques. We curated an annotated dataset of 876,784 samples by amalgamating a popular large-scale fake news dataset and scraped …
An Efficient Detection And Deep Clustering Based Pipeline For Reliable Rodent Ultrasonic Vocalization Analysis, Sabah S. Anis
An Efficient Detection And Deep Clustering Based Pipeline For Reliable Rodent Ultrasonic Vocalization Analysis, Sabah S. Anis
Theses and Dissertations
Ultrasonic vocalizations (USVs) are critical for understanding rodents' emotional states and social behaviors. However, manual analysis of USVs is time-consuming, subjective, and prone to errors. This thesis presents an automated pipeline that addresses these challenges by performing efficient USV detection and clustering. The proposed approach significantly reduces the time and effort needed to analyze USV data while improving accuracy and reproducibility.
To address this gap, we introduce ContourUSV, a five-step pipeline for USV detection. First, it begins with generating spectrograms from audio recordings, which are then pre-processed to enhance the contrast between USVs and background noise. Key steps include median …
Post-Selection Inference In Regression Models, Qinyan Shen
Post-Selection Inference In Regression Models, Qinyan Shen
Theses and Dissertations
This dissertation develops new methodology for valid statistical inference following model selection in various regression settings. We first consider the logistic regression model for a binary response that can only be observed at the group level, as in group testing, and is subject to testing error. With the true responses only partially observed, we employ the expectation-maximization (EM) algorithm to account for missing information in the response data and simultaneously conduct variable selection using the LASSO-penalized log-likelihood function. After variable selection, we extend an existing post-selection inference method based on the polyhedral lemma \parencite{lee2016exact} to make inferences on selected covariates, …
Methods And Applications For Bayesian Semiparametric Survival Analysis, Zile Zhao
Methods And Applications For Bayesian Semiparametric Survival Analysis, Zile Zhao
Theses and Dissertations
Survival analysis is a cornerstone of biomedical and clinical research and plays an important role in fields as diverse as engineering, actuarial science, and sociology. In this dissertation, we develop new semiparametric Bayesian methodology for three problems from survival analysis: 1) adjustment for treatment crossover in randomized controlled trials (RCTs), 2) multilevel modeling of clustered survival outcomes when the cluster size is also informative, and 3) divide-and-conquer Bayesian inference for massive survival data. Our methods are semiparametric in the sense that we assume the covariates have a linear effect with regard to the log-hazard or the log- survival time; however, …
Action Research Integrating Heggerty’S Phonemic Awareness Instruction For Transfer Into Third-Grade Writing, Jennifer Elizabeth Jones
Action Research Integrating Heggerty’S Phonemic Awareness Instruction For Transfer Into Third-Grade Writing, Jennifer Elizabeth Jones
Theses and Dissertations
Writing requires the ability to encode phonemes to separate sounds to spell. Students who are mystified by print often find writing a laborious task. This action research investigated the impact of Heggerty's Bridge the Gap phonological instruction on third grade writing development, specifically focusing on elaboration. Recognizing that strong phonological foundations are crucial for both reading and writing success, this study addressed the gap in phonological instruction found in upper elementary grades. The research questions guided the research: What is the impact of phonological awareness instruction on third-grade students’ elaboration domain in writing? 2.) What are the third-grade students' perceptions …
Characterizing Dissolved Organic Matter Composition In A Southeastern United States Watershed, Gwendolyn Marcelette Hopper
Characterizing Dissolved Organic Matter Composition In A Southeastern United States Watershed, Gwendolyn Marcelette Hopper
Theses and Dissertations
Dissolved organic matter (DOM) has important roles in many biogeochemical cycles. DOM is primarily composed of dissolved organic carbon (DOC), nitrogen, and phosphorus, and the processing of DOM is important for nutrient regulation and carbon cycling. In the coastal plains of the southeastern United States, there are many rivers and streams known as “blackwaters” with exceptionally high concentrations of chromophoric dissolved organic matter (CDOM) leached from terrestrial soils, coinciding with a region experiencing some of the nation’s highest rates of development. As changes in land use and climate continue to occur, DOM composition from natural to anthropogenically impacted systems can …
The Dialogic Self: Persius Satires 4 And Oikeiosis In Stoic Philosophy, William Michael Dodd
The Dialogic Self: Persius Satires 4 And Oikeiosis In Stoic Philosophy, William Michael Dodd
Theses and Dissertations
Though acknowledging that Persius alludes to Horace so frequently that he creates a dialogue with his elder, many commentators fail to see that Persius would challenge his predecessor. Especially evident in Satire 4, Persius' challenge to Horace stems from the younger poet's Stoicism, which philosophy he sees Horace as lampooning throughout the elder poet's Satires. Persius not only defends his Stoicism in Satires 4 but also engages with perceived weaknesses in the Epicureanism he finds in Horace. For instance, instead of the Epicurean version of natural law Persius finds in Horace, which conceives of human ties as contractual, the younger …
Determination Of Structure-Function Relationships In Hybrid Catalysts On Metal Oxide Supports, Joseph John Kuchta
Determination Of Structure-Function Relationships In Hybrid Catalysts On Metal Oxide Supports, Joseph John Kuchta
Theses and Dissertations
Transition metal catalysis has revolutionized chemical synthesis, enabling efficient and selective transformations critical to the pharmaceutical, agricultural, and materials industries. However, traditional methods often rely on expensive, non-sustainable metals and harsh reaction conditions that generate significant waste. This dissertation explores a series of innovations aimed at bridging the gap between homogeneous and heterogeneous catalysis through the development of hybrid catalysts. These systems combine the molecular precision of homogeneous catalysts with the stability and practicality of heterogeneous supports, offering a pathway to more sustainable and scalable catalytic processes.
The first area of focus investigates nickel-based hybrid catalysts as a cost-effective and …
What We Don’T Know Can Hurt Them: An Examination Of Culture-Centered Pedagogy In A Diverse Elementary School, Kelly Dale Hogan
What We Don’T Know Can Hurt Them: An Examination Of Culture-Centered Pedagogy In A Diverse Elementary School, Kelly Dale Hogan
Theses and Dissertations
This qualitative action research study examined a growing cultural divide at an elementary school with a significant teacher diversity gap, best described as a discrepancy between the number of White educators compared to the number of students of color within an educational setting. Surveys were utilized to understand teachers’ cultural competency, and then all participants engaged in a book study intervention focused on culture-centered pedagogy. The study concluded with exit interviews between participants and the researcher to gauge how perceptions of working with diverse student populations progressed throughout the study. Survey responses, book study field notes, and interview transcripts were …
Investigating The Impact Of Cross-Loadings On Model Fit And Mediation Inferences In The Latent Mediator Model, Qiulin Lu
Theses and Dissertations
Cross-loadings are a common phenomenon in psychological research. Extant studies have focused primarily on measurement models, like confirmatory factor analysis (CFA), and have shown that omitted cross-loadings can bias the inter-factor correlation. These results suggest that omitted cross-loadings might likewise bias structural paths in other structural equation models (SEMs), but this area remains under-investigated. Such an effect could impact the evaluation of third variable effects, like mediation, when estimated in a SEM framework.
This study addresses this gap by examining the effects of cross-loadings in single, latent mediator model in a simulation study. The performances of conventional SEM and Bayesian …
Utilizing Culturally Responsive Teaching Practices In The Classroom, Lindsey Nicole Finley
Utilizing Culturally Responsive Teaching Practices In The Classroom, Lindsey Nicole Finley
Theses and Dissertations
This research study aimed to address the impact of teaching concepts of culturally responsive pedagogy on teachers’ understanding of their implicit biases. Additionally, it examined the impact that professional development training utilizing culturally responsive teaching (CRT) methods have on teachers working with multilingual learners (MLs). The research questions were: (1) What is the impact of teaching concepts of culturally responsive pedagogy on teachers' understanding of their implicit biases? and (2) What is the impact of intentional, ongoing professional development utilizing CRT methods for teachers working with multilingual learners? This study used a theoretical framework of culture centered pedagogies such as …
Hardware Accelerated Simulation Of Buck Converters Using Physics-Informed Neural Networks, James Clayton Crews
Hardware Accelerated Simulation Of Buck Converters Using Physics-Informed Neural Networks, James Clayton Crews
Theses and Dissertations
Physics-informed neural networks (PINNs) are an emerging machine learning method for learning the behavior of physical systems described by governing differential equations. Dc-dc power-electronic converters are used in a variety of industry applications such as motor drives or power supplies where real-time simulation is critical for control and safety. This thesis investigates physics-informed machine learning as an approach to develop a real-time digital twin for dc-dc power converters. Traditional numerical integration methods are used to approximate discretized behavior, and the results are compared with a trained PINN model. Modern ML frameworks (such as PyTorch and TensorFlow/Keras) are used to quickly …
The Impact Of Social Emotional Learning (Sel) Lessons On Students’ Mental Health Surrounding Standardized Testing, Margaret Denning
The Impact Of Social Emotional Learning (Sel) Lessons On Students’ Mental Health Surrounding Standardized Testing, Margaret Denning
Theses and Dissertations
This qualitative action research examined the emotional impacts of standardized testing on 4th and 5th graders and the effects of targeted social-emotional learning lessons in a Title 1 school. Pre- and post-intervention data were gathered through surveys (Children’s Test Anxiety Scale) and focus group interviews. By employing thematic and narrative analysis, findings revealed significant initial cognitive anxiety, physical symptoms, and difficulties in self-regulation. Following the SEL intervention, the data indicated that students exhibited improved emotional resilience, reduced anxiety symptoms, and enhanced coping skills. Although the SEL interventions enhanced overall emotional well-being, anxiety was not fully eliminated. This study highlights the …
Combining Remote Sensing And Field Sampling To Assess Microphytobenthos Distribution In The North Inlet Estuary, South Carolina, Joseph Carmine Mcguinn
Combining Remote Sensing And Field Sampling To Assess Microphytobenthos Distribution In The North Inlet Estuary, South Carolina, Joseph Carmine Mcguinn
Theses and Dissertations
The study of microphytobenthos (MPB) distributions in mudflat ecosystems is critical for understanding coastal ecosystem health and resilience. This research integrates high-resolution multispectral imagery and elevation data to predict chlorophyll-a concentrations in mudflats within the North Inlet estuary, South Carolina. Using statistical analyses, MSAVI was identified as the most effective spectral index for chlorophyll-a prediction, and a regression model was generated for this index, finding significant correlation with elevation. Temporal and spatial patterns of chlorophyll-a distributions were explored through predictive rasters, revealing significant relationships between MPB abundance and microtopography. These findings demonstrate the value of remote sensing for …
Mo Isotopes In The Aleutian And Costa Rican Arcs: Source Variability And Juvenile Crust Formation, Ekaterina Rojas Kolomiets
Mo Isotopes In The Aleutian And Costa Rican Arcs: Source Variability And Juvenile Crust Formation, Ekaterina Rojas Kolomiets
Theses and Dissertations
Chemical and physical transfer between the surface, lithosphere and asthenosphere at subduction zones leads to arc magmatism and continental crust (CC) production. Subduction zones magmas and associated volcanic products sample a variety of magmatic sources that contribute to their chemical compositions in various proportions. This dissertation contributes to the study of subduction zones magmatism by assessing the relative role of subduction inputs (sediments, altered oceanic crust – AOC – and serpentinite) as flux agents in the arc magmatism and in CC formation in subduction zones under the scope of Mo isotope systematics.
I present the first Mo isotope analyses form …
Deprivation And Threat As Predictors Of Executive Functioning And Emotion Regulation In Early Adolescence: The Protective Role Of School Support, Abigail Best De Arellano
Deprivation And Threat As Predictors Of Executive Functioning And Emotion Regulation In Early Adolescence: The Protective Role Of School Support, Abigail Best De Arellano
Theses and Dissertations
Childhood adversity (CA) impacts a large proportion of US youth with far reaching consequences for development and subsequent health outcomes (McLaughlin et al., 2012). Given the widespread impact of CA, it is imperative to understand how these exposures impact development, as well as identify opportunities for intervention. McLaughlin and Sheridan (2016) proposed the Dimensional Model of Adversity of Psychopathology (DMAP), providing a framework for understanding the heterogeneity of outcomes related to exposure to CA. DMAP emphasizes that deprivation (i.e., lack of expected cognitive or social stimulation) and environmental threat (i.e., exposure to harm or the threat of harm) impacts youth …