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Articles 42061 - 42090 of 1439293
Full-Text Articles in Entire DC Network
High Frequency Factor Analysis With Partially Observable Factors, Dachuan Chen, Wenqi Lu, Siyu Xie
High Frequency Factor Analysis With Partially Observable Factors, Dachuan Chen, Wenqi Lu, Siyu Xie
Research Collection School Of Economics
This paper considers a novel factor structure – Partially Observable Factor Model – where both observable factors and latent factors exist in the model simultaneously. Such factor structure can make sure both interpretability and goodness-of-fit at the same time. Necessary estimation methodologies for this partially observable factor model are developed in this paper for the high frequency data. The proposed estimation methodology is robust to jumps, microstructure noise and asynchronous observation times simultaneously.When the observable factors are exogenous, we provide the estimation theory for the integrated eigenvalues of the residual covariance matrix, which including the bias-corrected estimator, central limit theorem …
Non-Traditional Socio-Environmental And Geospatial Determinants Of Alzheimer's Disease-Related Dementia Mortality, Skanda Moorthy, Jean-Eudes Dazard, Zhuo Chen, Shruthika Palanivel, Salil Deo, Sanjay Rajagopalan
Non-Traditional Socio-Environmental And Geospatial Determinants Of Alzheimer's Disease-Related Dementia Mortality, Skanda Moorthy, Jean-Eudes Dazard, Zhuo Chen, Shruthika Palanivel, Salil Deo, Sanjay Rajagopalan
Student Scholarship
Importance: Recent data point to the impact of non-traditional environmental and social factors on Alzheimer's Disease-Related Dementias (ADRD) mortality. Our study aimed to determine the extent to which antecedent air pollution, social vulnerability, and geospatial features in the environment associate with ADRD mortality. Design: This was a cross-sectional study conducted across the mainland United States. County level Social Vulnerability Index (SVI), particulate matter air pollution (PM2.5) were linked to ADRD mortality. Patient Rule Induction Method (PRIM) was used for delineating and characterizing “bumps” or spikes in mortality. SHapley Additive exPlanations (SHAP) values were used to rank variables by predictivity and …
Seconds From Impact: Anticipatory Vehicular Crash Prediction Using Video Vision Transormers, Ryan P. Geisen
Seconds From Impact: Anticipatory Vehicular Crash Prediction Using Video Vision Transormers, Ryan P. Geisen
Master's Theses
Vehicular collisions represent a significant public health concern, necessitating re search into advanced emergency notification systems. While deep learning has shown promise in accident detection, a research gap persists in applying state-of-the-art transformer architectures to the task of anticipatory, real-time crash prediction from video. This thesis addresses this gap by developing and evaluating a Video Vision Transformer (ViViT) for the binary classification of imminent vehicular collisions. Utilizing a curated dataset of 1,493 unique collision sequences, this study systemati cally investigates the impact of temporal context by comparing the ViViT against a single-frame Vision Transformer (ViT) baseline and conducting comprehensive exper …
Effects Of Science Of Reading Pedagogy On Student Self-Efficacy In The Elementary Intervention Classroom, Emily Marie Robinette
Effects Of Science Of Reading Pedagogy On Student Self-Efficacy In The Elementary Intervention Classroom, Emily Marie Robinette
Theses and Dissertations
This action research study investigated the effects Science of Reading pedagogy and curriculum have on students’ reading self-efficacy within the setting of the elementary intervention classroom. The theoretical framework, Albert Bandura’s self-efficacy theory, guided the study’s research questions, review of literature, methodology, and data analysis. The conceptual framework of the Science of Reading theory and educational movement served as the primary source of design and implementation of the intervention. Students participated in pre-, mid-, and post intervention interviews which measured students’ perceptions about their reading self-efficacy throughout the intervention period. They also participated in weekly reading self-efficacy questionnaires, which provided …
Retaining Teacehrs In A Small, Rural District In A Post-Pandemic World, Sonya Murrah Bryant
Retaining Teacehrs In A Small, Rural District In A Post-Pandemic World, Sonya Murrah Bryant
Theses and Dissertations
This dissertation in practice uses improvement science to examine the system in an attempt to improve teacher retention. The improvement project centers around improving teacher retention in a small, rural school district in a post-pandemic world. The district in question saw a stark increase in teachers leaving the district after the pandemic. The improvement team consisting of six district certified staff members including the superintendent, the assistant superintendent for personnel and instruction, the director of special services, the public information officer, a primary school principal, and a teacher. After collaboratively designing a fishbone diagram and driver diagram to analyze the …
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 …
Impact Of Simulation On Project Management Knowledge, Self-Efficacy, And Student Perceptions: An Action Research Study With Non-Traditional Undergraduate Students In A Project Management Capstone Course, Deborah Marindin
Theses and Dissertations
This study investigated the effectiveness of a project management simulation in enhancing non-traditional undergraduate students' project management knowledge, self-efficacy, and perceptions in a project management capstone course. The simulation tool, SimulTrain®, provided an authentic, real-world context to bridge the gap between theoretical knowledge and practical application. Utilizing mixed-methods action research, the study comprehensively evaluated the simulation’s impact on students’ learning. The research was guided by three questions: (1) How does a simulation activity affect non-traditional students’ project management knowledge in a capstone course? (2) To what extent does the simulation impact their self-efficacy? (3) What are students’ perceptions of learning …
Exploring Professional Development Of Expatriate Teachers In Kuwait Through Mentoring, Taji Abdul-Raheem
Exploring Professional Development Of Expatriate Teachers In Kuwait Through Mentoring, Taji Abdul-Raheem
Theses and Dissertations
Professional growth as a teacher is fundamental for teacher retention and an overall determinant of favorable student outcomes. Academic research underscores professional development as an indicator of success for a school’s success as well. Expatriate teachers in Kuwait, who comprise a significant portion of the workforce, come from various backgrounds and levels of readiness for teaching in a contextually and culturally unfamiliar setting. Due to how teachers are hired and approved for teaching without induction, an implementation for continuous professional development has yet to be materialized for teachers in the private sector. This qualitative study leverages Improvement Science to diagnose …
Hearing All The Colors: Stories Of Engagement From Teachers' Perspectives, Carolyn Allison
Hearing All The Colors: Stories Of Engagement From Teachers' Perspectives, Carolyn Allison
Theses and Dissertations
This qualitative case study documented four high school English II End of Course teachers' stories about student engagement in the classroom. Students of color, in particular, have been maligned for underperformance on state-mandated tests. Instead of focusing on the despairing headlines and data, this study focused on how teachers follow the state standards and district curriculum guides to increase success. The teachers' authentic voices on student engagement shine through their stories. Student engagement is not a one-size-fits-all scenario which these teachers prove.
The teachers' stories served as the data for this study. The data was viewed through the lens of …
Apathy Or Agency: Exploring Civic Engagement With Ap Psychology Students, Regina Dilley
Apathy Or Agency: Exploring Civic Engagement With Ap Psychology Students, Regina Dilley
Theses and Dissertations
Sensing my high school students’ apathy toward civic engagement, I used a community of inquiry framework to address this problem of practice. Through mixed-methods action research, I explored participants’ perspectives on community, civic engagement, and their involvement in both spheres. A community of inquiry framework was the foundation for my research questions, and as I collected data, I launched an intervention based upon my findings. Although the results of this study were not statistically significant and are not generalizable, I collected a wealth of survey, interview, and reflection data from 48 students across two classes. Analysis grounded in my observations …
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 …
Expenditures Of Title I Funds To Maximize Student Performance, Cornethia Danielle Pressley
Expenditures Of Title I Funds To Maximize Student Performance, Cornethia Danielle Pressley
Electronic Theses and Dissertations
This mixed methods case study investigates how Title I funds are allocated and perceived in relation to student achievement in six rural elementary schools in the southeastern United States. Drawing on the Distributive Justice Theory by John Rawls, the study explored the perspectives of three principals and three instructional coaches regarding the effectiveness of Title I expenditures in improving outcomes for economically disadvantaged students. Quantitative data from school report cards (2019-2023), Title I expenditure plans, and SC-Ready English Language Arts assessment scores were analyzed alongside qualitative data from semi-structured interviews about the expenditures.
Findings revealed that expenditures most strongly associated …
Smu Celebrates 25 Years Of Its Communityservice Programme During Silver Jubilee Year, Singapore Management University
Smu Celebrates 25 Years Of Its Communityservice Programme During Silver Jubilee Year, Singapore Management University
SMU Press Releases and News
The first university in Singapore to make community service a graduation requirement commemorates another major milestone in its 25th anniversary. SMU has consistently championed community engagement as a cornerstone of its educational mission.
Advanced Study Of Nickel-Titanium Alloy: Effects Of Point Defects On Mechanical And Thermodynamic Properties, Diego Armando Juarez Rosales
Advanced Study Of Nickel-Titanium Alloy: Effects Of Point Defects On Mechanical And Thermodynamic Properties, Diego Armando Juarez Rosales
Open Access Theses & Dissertations
High-throughput first-principles calculations of point defects are emerging as a powerful tool to accelerate materials discovery in applications [1]. Substitutional, antisite, and vacancy defects can play an important role in the mechanical and thermal properties of intermetallic alloys [2]. In this present work I compute the thermal and mechanical properties of shape-memory alloy nickel-titaniun (NiTi) in the B19â?? martensitic and B2 austenitic phases from molecular dynamics (MD), using a second nearest neighbor (2NN) modified embedded atom method (MEAM) [3] classical potential in the temperature range from 200K to 600K and composition range from 45 atomic percent to 55 atomic percent …
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 …
Sph Simulation Of Isothermal Sloshing In A Circular Tank: A Ccp-Wsi Blind Test Study, Jiaxin Chen, Yong Yang, Martyn Hann, Robert Rawlinson-Smith, Munira Raji, Deborah Greaves
Sph Simulation Of Isothermal Sloshing In A Circular Tank: A Ccp-Wsi Blind Test Study, Jiaxin Chen, Yong Yang, Martyn Hann, Robert Rawlinson-Smith, Munira Raji, Deborah Greaves
School of Engineering, Computing and Mathematics
This study delves into the complex sloshing dynamics in a circular tank, a critical challenge for applications like aerospace and marine systems, as part of the CCP-WSI Blind Test Series 5. Leveraging the GPU-accelerated SPH-based DualSPHysics code, we uncover unique resonant and nonlinear wave behaviours under horizontal and vertical excitations. Key findings include significant free-surface amplifications and symmetry-breaking effects at resonance. Sensitivity analysis of dimensionality, viscosity, and resolution highlighted SPH's adaptability for highly nonlinear flows, establishing it as a powerful tool for tackling intricate fluid-structure interactions.
Wealth Taxes Under The Constitution: An Originalist Analysis, David M. Schizer, Steven G. Calabresi
Wealth Taxes Under The Constitution: An Originalist Analysis, David M. Schizer, Steven G. Calabresi
Faculty Scholarship
A federal wealth tax is high on the wish list of progressives, but is it constitutional? This Article shows that under the original public meaning of the Constitution, a wealth tax is a “direct tax” that must be apportioned. This means that the percentage of revenue collected in each state must match its percentage of the population. For instance, if two states both have three percent of the population, each must provide three percent of the revenue. This leads to an unappealing outcome: if one state is less wealthy, it needs a higher tax rate to supply its share.
Article …
Utilizing Natural Language Processing To Optimize Business Processes, Olt Kondirolli
Utilizing Natural Language Processing To Optimize Business Processes, Olt Kondirolli
Theses
This Capstone project explores the potential of Natural Language Processing (NLP) techniques in optimizing decision-making and organizational workflows across various domains. The Capstone project uses three case studies to demonstrate how sentiment analysis, frequency analysis, and topic modeling can analyze unstructured textual data to provide insightful findings. The first case study evaluates employee satisfaction using sentiment analysis, uncovering trends across departments and roles to guide targeted organizational interventions. The second case study focuses on student feedback at a higher education institution, using sentiment and frequency analyses to identify key areas for improvement in academic programs and services. The third case …
Garcia V. State, 141 Nev. Adv. Op. 16 (Apr. 17, 2025), Grace Michaelson
Garcia V. State, 141 Nev. Adv. Op. 16 (Apr. 17, 2025), Grace Michaelson
Nevada Supreme Court Summaries
THE DISTRICT COURT PROPERLY DENIED RELIEF BECAUSE PAROLE ELIGIBILITY FOR JUVENILE NONHOMICIDE OFFENDERS ARISES BY OPERATION OF LAW AND DOES NOT REQUIRE RESENTENCING OR CORRECTION OF A LAWFUL JUDGMENT.
The Impact Of Artificial Intelligence On The Sport Industry: Trademark Challenges And Legal Issues For Sport Brands, Suji Kim
Theses and Dissertations
This study explores the intersection of artificial intelligence (AI) and trademark law, focusing on the implications of AI-driven brand management in the sport industry. As AI technologies increasingly shape marketing strategies, particularly through fan engagement and content creation, they present new legal challenges, especially concerning trademark infringement, false endorsement, and the protection of athletes’ Name, Image, and Likeness (NIL) rights. The study analyzes key legal issues arising from AI’s role as both a tool and a potential legal actor in brand management, emphasizing the evolving definitions of “use in commerce” and the liability of sport organizations and third-party platforms.
Through …
Relative Hazard Losses Along The Atlantic And Gulf Coasts, Erin Kemp
Relative Hazard Losses Along The Atlantic And Gulf Coasts, Erin Kemp
Theses and Dissertations
Coastal areas face a variety of natural hazards, many of which are increasing in frequency or severity due to climate change. Continued coastal development emphasizes the need for a better understanding of the impact of these hazards on coastal communities. This study aims to improve this understanding by investigating temporal, spatial, and causal patterns in county-level relative losses (RL) from hazards along the Atlantic and Gulf Coasts from 2001 to 2021. Three research questions are addressed: 1) Are relative losses increasing over time in coastal counties? 2) Where are the highest relative losses among coastal counties? and 3) Which hazards …
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 …
Exploring Cultural Capital And Literacy Practices In Chinese Immigrant Families: A Critical Ethnographic Case Study, Yuechen Sun
Exploring Cultural Capital And Literacy Practices In Chinese Immigrant Families: A Critical Ethnographic Case Study, Yuechen Sun
Theses and Dissertations
This dissertation explores the cultural capital and literacy practices of Chinese immigrant families residing in a Southeastern U.S. city. Using an ethnographic case study approach, the research examines two groups of Chinese immigrant parents: those with higher educational backgrounds and those who are restaurant owners. The study investigates how parents’ educational and cultural backgrounds influence their perceptions of and commitments to their children’s education, as well as their home literacy practices. It also explores their understanding of the model minority stereotype and their views on educational equity in the U.S. The findings reveal that both groups of parents value education …
Professional Learning Communities And Digital Literacy: A Framework For Elementary Education, Lauren Hunt
Professional Learning Communities And Digital Literacy: A Framework For Elementary Education, Lauren Hunt
Theses and Dissertations
As digital technologies redefine the definition of literacy, elementary teachers face the challenge of effectively integrating digital literacies into their classroom spaces. This dissertation examines how professional development can enhance teachers’ understanding and implementation of high-quality digital literacy practices. Grounded in the New Literacies framework, the study identifies key characteristics of effective digital literacy instruction and explores how professional development that is contextualized, meaningful, and sustained can foster these practices. Using data from classroom observations, professional learning communities, and teacher interviews, the research highlights how individualized coaching and collaboration empower teachers to create authentic, engaging, and critical digital literacy experiences. …
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, …
Exploring Technology Use And Loneliness Among African American Older Adults, Sarah Pace
Exploring Technology Use And Loneliness Among African American Older Adults, Sarah Pace
Theses and Dissertations
Loneliness among African American older adults is a pressing public health concern, affecting more than one-quarter of this population and increasing the risk of premature death. This study explores the experiences of loneliness among African American older adults and examines the technologies they use, the purposes they serve, and their perceived role in mitigating loneliness. It also investigates barriers and facilitators to technology use for promoting social connection. Guided by the Social Support Theory and Technology Acceptance Model 3 (TAM3), the study centers the perspectives of an underrepresented population.
Fifteen African American women aged 67–82 participated in semi-structured interviews between …
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, …
The Moderating Effects Of Religious Support And Family Support Between Racial Discrimination And Psychological Health Outcomes Among Black Adolescents, Tiera Cleveland
The Moderating Effects Of Religious Support And Family Support Between Racial Discrimination And Psychological Health Outcomes Among Black Adolescents, Tiera Cleveland
Theses and Dissertations
Racial discrimination is a common experience for Black adolescents. This study aimed to examine family support and religious support as a moderating variable between discrimination and mental health among Black adolescents. This study utilized data from an existing data set, the National Survey of American Life-Adolescent (NSAL-A). The NSAL-A included 1170 adolescents: 810 African American1 and 360 Black Caribbean2. The sample contained an equal amount of female (n = 608) and male (n = 562) Black adolescents3, who range in age from 13 to 17 years. Significant findings suggest that family support moderates the impact …
Quinone-Mediated Extracellular Electron Transfer In Escherichia Coli During Glucose Oxidation Metabolism, Megan Danielle Whisonant
Quinone-Mediated Extracellular Electron Transfer In Escherichia Coli During Glucose Oxidation Metabolism, Megan Danielle Whisonant
Theses and Dissertations
The growing global demand for energy, ongoing reliance on fossil fuels, and increasing water pollution from industrial and anthropogenic sources present significant environmental challenges. In response to these issues, renewable and sustainable energy sources offer substantial potential for reducing dependence on fossil fuels and ensuring access to clean water. Microbial electrochemical systems (MESs) have emerged as promising, eco-friendly solutions for energy-efficient wastewater treatment and bioremediation. A key challenge in MESs development is facilitating effective electron transfer between microorganisms and electrode surfaces. The first chapter of this thesis discusses the fundamentals of MES types, explains mechanisms of extracellular electron transfer, and …
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 …