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Articles 14131 - 14160 of 1103989
Full-Text Articles in Entire DC Network
Exploring Teachers’ Lived Experiences: The Impact Of Wellness On Student Engagement And Behavior In Third-Grade Classrooms, Tiffany L. Jackson
Exploring Teachers’ Lived Experiences: The Impact Of Wellness On Student Engagement And Behavior In Third-Grade Classrooms, Tiffany L. Jackson
Dissertations
This qualitative phenomenological study explored teachers' lived experiences implementing student wellness initiatives in the classroom and examined their views on how these initiatives affected student engagement and behavior. In this study, participants had the opportunity to express their views on implementing wellness practices in the classroom and on how these initiatives impacted student engagement and behavior. The research was guided by theoretical frameworks related to wellness, emotional and social intelligence, and relational perspectives. Semi-structured one-on-one interviews were the primary data source, and interview notes will serve as secondary data. This study addressed three research questions: (1) What are teachers' lived …
Perceptions And Beliefs Of A High School Geometry Professional Learning Community During Initial Implementation Of Standards-Based Grading, Marcellyn E. Baker
Perceptions And Beliefs Of A High School Geometry Professional Learning Community During Initial Implementation Of Standards-Based Grading, Marcellyn E. Baker
Dissertations
Traditional grading systems in secondary schools often conflate behavior with achievement, obscure evidence of understanding, and constrain teachers’ ability to enact learning-centered beliefs. This qualitative case study examined how five experienced secondary mathematics teachers in a public high school geometry department experienced and interpreted a grassroots transition to standards-based grading (SBG) within collaborative professional learning communities (PLCs). Guided by a pragmatic and constructivist worldview, data were collected through semi-structured interviews, focus groups, field observations, and questionnaires and analyzed using iterative open and axial coding with cross-group pattern analysis. Findings indicated that SBG did not fundamentally alter teachers’ beliefs about learning; …
Bipoc Stem Scholarship And Mentorship Initiative: A Community Based Approach To Expanding Access And Equity In Stem Education, Raymond Davis Jr.
Bipoc Stem Scholarship And Mentorship Initiative: A Community Based Approach To Expanding Access And Equity In Stem Education, Raymond Davis Jr.
Master of Public Administration for Senior Leadership
Across the United States, persistent inequities continue to limit access to Science, Technology, Engineering, and Mathematics (STEM) education for Black, Indigenous, and People of Color (BIPOC) students. Despite increased national attention toward diversity, equity, and inclusion over the past decade, measurable improvements in participation, retention, and degree completion in STEM fields have not kept pace. These disparities remain deeply rooted in structural inequalities that influence educational access, resource distribution, and long-term career opportunities.
The issue is frequently described as a“pipeline problem,”suggesting that students enter STEM pathways but fail to persist through to completion. While this metaphor is useful, it oversimplifies …
Impact Of Currency Volatility In The Automotive Import-Export Procurement, Adelaide De-Heer
Impact Of Currency Volatility In The Automotive Import-Export Procurement, Adelaide De-Heer
Master of Public Administration for Senior Leadership
Automobile import and export trade is a global venture and thus affected by global issues including cross border issues and currency volatility. Since it is a major in the economic field, it is vital that some risks be evaded in the initial stages of this trade to ensure sustainability. As a result, this research paper aims to assess how currency volatility as a key procurement risk impacts this business and why it is important to understand these dynamics. Currency volatility significantly influences automobile import and export procurement by shaping cost structures, competitive positioning, and financial stability within the global automotive …
First-Year Seminar’S Influence On Thriving In First-Year Students, Chelsea Miller
First-Year Seminar’S Influence On Thriving In First-Year Students, Chelsea Miller
Dissertations
First-year students struggle with attrition. Prevention of attrition has various interventions on such first-year seminars. Typically, these interventions use academic outcomes to measure effectiveness. Prior research supports that students enrolled in first-year seminar benefit academically from the intervention. However, these outcomes do not fully capture all the possible benefits of this intervention. This leaves room for research on other possible outcomes. Thriving as a construct incorporates both academic and social elements. Thriving is a possible outcome that could capture the benefits of first-year seminars. This study examined how much of the variance in thriving was explained by participation in first-year …
Part Of The Family, Brian Garbrecht
Part Of The Family, Brian Garbrecht
School of Art, Art History, and Design: Theses and Student Creative Work
Part of the Family examines television as both a domestic object and a cultural force. TV was not simply something my family watched, but something we lived with. Through CRT televisions, VHS recordings, family photographs, altered TV Guides, fictional broadcasts, and immersive living-room installations, the project explores how television shaped memory, kinship, attention, and belonging in the American home. Drawing from my family’s archive of Chicago-area broadcasts recorded between the 1990s and early 2000s, the work treats VHS as a hybrid form of home movie, preserving the flow of commercials, news, station IDs, sitcoms, movies, and accidental overlaps that structured …
Design And Development Of A Passive Dust Protection System For Lunar Docking Operations, Simon Thengvall
Design And Development Of A Passive Dust Protection System For Lunar Docking Operations, Simon Thengvall
Department of Mechanical and Materials Engineering: Dissertations, Theses, and Student Research
Lunar docking systems face a unique set of environmental conditions that can create significant challenges for mechanical design. Among these, the abrasive nature of lunar regolith can impair the kinematic function of traditional terrestrial mechanisms as well as contaminate critical spacecraft components such as environmental seals, causing them to fail. For crew-rated docking systems, failure of these systems not only threatens mission success, but also crew safety, so dust protection is crucial for docking components. To address the concerns of regolith intrusion, the Simple External Attachment for Lunar Openings (SEALO) is developed as a key architecture for mechanism evaluation when …
Fret Studies On The Binding Of Fibroblast Growth Factor (Fgf) Proteins To The Hard Corona Of Cuins2-Based Quantum Dots, Colette Robinson
Fret Studies On The Binding Of Fibroblast Growth Factor (Fgf) Proteins To The Hard Corona Of Cuins2-Based Quantum Dots, Colette Robinson
Graduate Theses and Dissertations
Fibroblast Growth Factor (FGF) has been shown to be an important protein in angiogenesis, which is critical in developmental biology and wound healing but has also been implicated in cancer metastasis. FGF interacts with an FGF Receptor (FGFR) to signal the onset of angiogenesis but the detailed mechanism of angiogenesis, and particularly its regulation, is still largely unknown. Imaging the interaction of FGF with FGFR in biologically-relevant environments, such as directly in cells, is key towards furthering this understanding and may eventually aid in the development of better cancer treatments. CuInS2/ZnS quantum dots (QDs) are an attractive fluorescent probe to …
Nadh Flim Reveals Cellular Bioenergetics And Mitochondrial Morphology During Drosophila Convergent Extension, Maria Espana Pena
Nadh Flim Reveals Cellular Bioenergetics And Mitochondrial Morphology During Drosophila Convergent Extension, Maria Espana Pena
Graduate Theses and Dissertations
Mitochondria are dynamic organelles that can fragment or fuse to support different bioenergetic demands and cellular processes, although the role of mitochondrial fission and fusion during embryonic development is not well understood. Fluorescence lifetime imaging (FLIM) of the mitochondrial cofactor NADH can be used to visualize mitochondrial networks and infer aspects of cellular bioenergetics in a label-free manner. We used NADH FLIM to test whether germband cells undergo changes in cellular metabolism during Drosophila convergent extension (CE)––a process in which hundreds of epithelial cells undergo coordinated intercalation to elongate the embryo. Contrary to our expectations, we did not observe significant …
Exploring Agricultural Pathways: An Analysis Of Arkansas Community Colleges, Natasha Hightower
Exploring Agricultural Pathways: An Analysis Of Arkansas Community Colleges, Natasha Hightower
Graduate Theses and Dissertations
As demand for a highly skilled agricultural workforce continues to grow, Arkansas must strengthen accessible and clearly defined academic and career pathways to prepare future agricultural professionals. Community colleges serve as a critical entry point into higher education, particularly for rural and first-generation students, and play a vital role in both workforce development and transfer preparation. However, information related to agricultural education offerings, transfer pathways, and faculty at Arkansas community colleges is often decentralized and difficult for students and stakeholders to locate. The purpose of this study was to examine agricultural education offerings at community colleges in Arkansas, specifically agricultural …
Investigation Of Low-Pressure Mercury Lamp System Configurations And Xenon Excimer Lamp System Development As Vacuum Ultraviolet Sources For Optimal Photolytic Degradation Of Poly-/Perfluoroalkyl Substances, Eman Zuhair Alhamdan
All Dissertations
PFAS are persistent synthetic chemicals, with unique properties that enable them to easily enter and accumulate in water sources. Their public health impacts have raised concern and highlighted the need for effective treatment. Numerous techniques for PFAS removal from water have been studied, few have proven the ability of breaking down PFAS rather than separating and concentrating it. Many of these methods are chain-length dependent, showing slower degradation rate of short-chain PFAS and requiring substantial amounts of energy, and chemical agents that may produce byproducts.
Among available PFAS destruction methods, direct photolysis by high-energy UV with wavelength below 200 nm …
Towards Dementia-Inclusive Digital Text-Based Health Information: A Multi-Method Investigation Of Cognitive And Affective Accessibility, Margi Engineer
Towards Dementia-Inclusive Digital Text-Based Health Information: A Multi-Method Investigation Of Cognitive And Affective Accessibility, Margi Engineer
All Dissertations
This dissertation examines the accessibility, readability, emotional tone, and trustworthiness of digital, text‑based dementia information and investigates how older adults with and without dementia cognitively and affectively engage with such content. It further explores the potential of generative AI to improve dementia information delivery through the development of a domain‑specific retrieval‑augmented generation (RAG) large language model (LLM) chatbot designed to deliver accessible, stigma‑free information. The dissertation comprises four studies using complementary quantitative and qualitative methods. Study I conducts a large‑scale content analysis of 300 medical articles, 35 websites, and 50 blogs, applying readability metrics, LIWC‑based linguistic and sentiment analysis, and …
Generalizable Adaptation For Vision-Language Models, Niloufar Alipour Talemi
Generalizable Adaptation For Vision-Language Models, Niloufar Alipour Talemi
All Dissertations
Vision-Language Models (VLMs) and Multimodal Large Language Models (MLLMs) have recently emerged as powerful frameworks for learning joint representations across visual and textual modalities. These models enable a wide range of applications, including visual recognition, multimodal reasoning, and visual question answering. However, adapting large pre-trained VLMs to downstream tasks while preserving their strong generalization ability remains a significant challenge, particularly under domain shifts or limited supervision. This dissertation focuses on developing methods for generalizable adaptation of VLMs, aiming to improve robustness, efficiency, and applicability across diverse tasks and environments.
First, this work introduces novel prompt learning strategies for adapting CLIP-style …
Examining Mathematics Identity And Student Capital In The United States And Norway: Comparative Insights From First-Generation College Students In First-Year Mathematics Courses, Margaret Ann Bolick
Examining Mathematics Identity And Student Capital In The United States And Norway: Comparative Insights From First-Generation College Students In First-Year Mathematics Courses, Margaret Ann Bolick
All Dissertations
First‑generation college students (FGCSs)—students whose parents did not complete a bachelor’s degree—are underrepresented in international research on first‑year mathematics course retention and are often compared to their continuing‑generation peers in ways that reinforce deficit narratives and skew perceptions of FGCSs. This study provides a descriptive comparison between FGCSs’ mathematics identity and forms of capital across the cultural contexts of Norway and the United States through four interconnected papers that address the overarching research question: How do cultural and educational contexts in Norway and the United States influence how FGCSs conceptualize and express forms of capital and mathematics identity in first-year …
Learning Global Context For Sparse Activity Recognition In Lengthy Recordings With Limited Dataset Size, Zeyu Tang
All Dissertations
This dissertation describes methods to analyze lengthy recordings of data in order to detect sparsely occurring activities. The narrative below describes the progression of research that led to the development of these methods and their generalization into a unified framework. My research started with designing models for dietary monitoring, including detecting meals from day-long recordings and detecting intake gestures from meal-length recordings. Both tasks share some common characteristics: (a) the target event takes only a small portion of data recordings, and (b) there is global context within full-length data recordings that can help a model make better decisions. After finishing …
Experimental And Computational Investigation Of The Effects Of Neck Musculature During Head Impacts In American Football, Anthony P. Marino
Experimental And Computational Investigation Of The Effects Of Neck Musculature During Head Impacts In American Football, Anthony P. Marino
All Dissertations
Anthropometric test devices (ATDs) are human surrogate models used to represent the human body response in the context of compliance and safety testing. These devices are used in multiple industries, including automotive and aerospace, and have recently been incorporated into impact testing for the evaluation of helmet performance in American football. The Hybrid III 50th percentile male ATD head and neck assembly is the most commonly used surrogate for these tests, although it was developed for automotive frontal crash scenarios that induce an inertial force on the body, leading to head and neck motion primarily in the sagittal plane. …
Versatile Exoskeleton Control Paradigms For Agile Human Locomotion: Task-Agnostic And Stability-Augmented Assistance, Miao Yu
All Dissertations
Lower-limb exoskeletons have shown great potential for assisting human locomotion, but designing controllers that provide assistance across diverse locomotor tasks and under external perturbations remains a major challenge. Many existing controllers for steady-state walking rely on pre-defined reference trajectories, which constrain voluntary human motion and limit adaptability across tasks. Moreover, they usually assume stable walking, while their performance under unstable conditions remains largely unexplored. In addition, existing gait stability augmentation controllers are often reactive rather than proactive to unstable conditions. In this dissertation, we propose control frameworks that preserve voluntary human motion while addressing two major challenges: providing task-agnostic assistance …
Towards Generalizable Representation Learning Across Domains, Hossein Kashiani
Towards Generalizable Representation Learning Across Domains, Hossein Kashiani
All Dissertations
Despite remarkable progress in deep learning, a major challenge remains: machine learning models often struggle to generalize to unseen domains under distribution shift. In real-world settings, data often differ from training conditions due to changes in lighting, sensor type, image resolution, and style. These differences can significantly degrade performance, highlighting the need for representations that are both robust and generalizable. This thesis addresses this challenge by developing a set of frameworks for generalization across domains in anomaly detection, deepfake detection, and vision-language image recognition. For anomaly detection, this thesis introduces ROADS, a robust prompt-driven framework for multi-class unified anomaly detection. …
Quantifying The Value Of Adaptability: Bridging Real Options Analysis And Adaptable Building Design, Miranda Grice
Quantifying The Value Of Adaptability: Bridging Real Options Analysis And Adaptable Building Design, Miranda Grice
All Dissertations
As the demands of the built environment continually evolve, buildings are expected to meet changing occupancy needs, or otherwise they become obsolete. Despite positive research on the benefits of adaptable building design, there is a knowledge gap regarding the long-term economic benefits of these designs. Practical methods are needed to determine if premium costs associated with adaptable designs are justified by the economic benefits inherent in adaptability. Therefore, this dissertation provides a discussion on the application of the financial theory of options analysis to the design of adaptable buildings. Additionally, a model and accompanying tool are presented as a solution …
Decision Making For Large-Scale Problems Under Uncertainty And Conflict, Benjamin J. Hamlin
Decision Making For Large-Scale Problems Under Uncertainty And Conflict, Benjamin J. Hamlin
All Dissertations
Large-scale decision-making problems appear in many areas including long-range forecasting such as energy generation forecasting. Many such problems are subject to conflicting objectives and uncertain data, and can be modeled as linear optimization problems. We study novel theoretical results and algorithms for large-scale linear decision problems under conflict and uncertainty. First, we propose a parametric Benders decomposition algorithm for solving large-scale linear optimization problems with multiple objectives or deterministically uncertain objectives. Second, we extend the parametric Benders decomposition to a multi-stage setting, developing a parametric stochastic dual dynamic programming algorithm, which enables decision-making when conflicts and uncertainty have planning impacts …
Modernizing Plastics And Composites Manufacturing Using Hybrid Modeling Techniques, Luke Shannon
Modernizing Plastics And Composites Manufacturing Using Hybrid Modeling Techniques, Luke Shannon
All Dissertations
Plastics and composites manufacturing encompasses a broad family of processes, including injection molding, resin transfer molding, compression molding, and extrusion, that together account for the vast majority of polymer and composite component production worldwide. These processes are inherently challenging due to the multi-physics nature of polymer processing, the vast possible combinations of resins, reinforcements, and additives, and the strong dependence of final part properties on process history. Among these processes, injection molding is one of the most widely deployed, producing high-volume components across automotive, medical, consumer electronics, and packaging industries. However, accurately monitoring and predicting process behavior in injection molding …
Optimal Allocation Of Flexible Servers In Healthcare Systems, Tong Zhang
Optimal Allocation Of Flexible Servers In Healthcare Systems, Tong Zhang
All Dissertations
This dissertation investigates the optimization of worker allocation in healthcare systems, focusing on flexible staffing models and the strategic prioritization of healthcare tasks. This research explores the dynamics among pre-operative, operative, and post-operative care units under various cost and service-rate constraints, using a series of models that represent realistic healthcare scenarios within a comprehensive framework for improving patient flow and reducing waiting costs.
In Chapter 2, we model and analyze cross-trained nurse allocation policies within an inpatient surgical system. We model the surgical system as a tandem clearing queueing system and formulate Markov decision processes under different business rules governing …
Development Of A Mixing-Controlled Combustion Model For 0d Engine Modeling: Using High-Order Models To Guide The Formulation Of Reduced-Order Models, James Gohn
All Dissertations
Vehicles are becoming increasingly complex to comply with the increasingly stringent regulations placed on all market sectors while still maintaining performance requirements. This increased complexity leads to increases in the cost and time it takes to develop and produce these next generation vehicles. To meet demand therefore, it becomes necessary to evaluate numerous design iterations using computer models. There are multiple levels of models that may be necessary for different purposes or use cases. All levels of modeling for virtual prototyping, however, require a level of validation and predictive ability to be useful. To this end, the following thesis presents …
X-Raying The Material Surrounding Active Supermassive Black Holes, Isaiah S. Cox
X-Raying The Material Surrounding Active Supermassive Black Holes, Isaiah S. Cox
All Dissertations
It is important to understand the nature of the gas and dust immediately surrounding the supermassive black hole (SMBH) in active galactic nuclei (AGN), because this material feeds the accretion disk and couples the activities going on at the AGN scale to the host galaxy. However, there remain large uncertainties on basic properties about this material such as its location and distribution. This is primarily due to the difficulties in resolving spatial information on these scales at extragalactic distances.
AGN emit a tremendous amount of radiation all across the electromagnetic spectrum, including X-rays. The X-rays come from a very small …
Adoption And The Illusion Of Choice After Dobbs V. Jackson Women’S Health, Solangel Maldonado
Adoption And The Illusion Of Choice After Dobbs V. Jackson Women’S Health, Solangel Maldonado
Cardozo Law Review
Thalia, a twenty-eight-year-old mother of two, has struggled with a substance use disorder for several years. Her children, ages five and seven, are in foster care. Thalia was homeless when she learned that she was fourteen weeks pregnant. She wanted to have an abortion, but her state banned abortions after the Supreme Court’s decision in Dobbs v. Jackson Women’s Health Organization. The closest abortion care provider in a neighboring state was 400 miles away, and a medical (non-surgical) abortion was no longer an option.
Unable to access abortion care, Thalia was forced to carry the pregnancy to term. Her …
Autonomous Contracts And Transformative Justice: Practicing Family Law Without Court Intervention, D Dangaran, Andy Izenson
Autonomous Contracts And Transformative Justice: Practicing Family Law Without Court Intervention, D Dangaran, Andy Izenson
Cardozo Law Review
Legal scholars have made calls to “abolish family court” or “abolish the family.” Before family court can be abolished, society must reduce its reliance on state interventions to resolve family disputes. This Article applies abolition theory and the praxis of “non-reformist reforms,” derived from Black feminist thought and the prison abolition movement, to family law. It details the context of the current “carceral” interventions that rely on state enforcement and then categorizes alternative family law tools into noncarceral, anticarceral, and transformative practices. Noncarceral approaches, such as private ordering through prenuptial, “no-nuptial,” and separation agreements, and establishing parentage for assisted reproduction …
Multiscale Architecture Governs Stability In Suction-Actuated Variable Stiffness Catheters, Sheridan Lee
Multiscale Architecture Governs Stability In Suction-Actuated Variable Stiffness Catheters, Sheridan Lee
McKelvey School of Engineering Graduate Student Theses & Dissertations
Endovascular procedures require devices with widely varying mechanical properties: flexibility for navigating tortuous vessels and rigidity for stable therapeutic delivery. Suction-actuated variable stiffness sheaths address this challenge by incorporating axial wire string arrays that mechanically couple under suction to increase flexural rigidity. However, prototype devices achieve stiffening ratios below theoretical predictions, suggesting that interlayer mechanics and string positioning play a critical role. This study investigates whether interweaving polytetrafluoroethylene (PTFE) tape within the string array enhances flexural rigidity modulation and curvature stability. Prototype devices with varying wrap configurations were fabricated and evaluated using flexural testing, curvature stability testing, and mathematical modeling. …
Computational Fluid Dynamics (Cfd)-Based Performance Prediction Of Transcatheter Microvascular Plugs In Single-Ventricle Patients, Zhuhuan Zou
McKelvey School of Engineering Graduate Student Theses & Dissertations
Transcatheter palliation using fenestrated Modified Micro Vascular Plugs (MVP) has emerged as a promising, minimally invasive alternative to surgical pulmonary artery banding (PAB) for high-risk neonates with single-ventricle physiology. However, clinical applications are currently limited by the difficulty in predicting the resulting pulmonary-to-systemic flow ratio () and the lack of a standardized approach for selecting the optimal fenestration size. This study utilizes patient-specific computational fluid dynamics (CFD) to quantitatively evaluate the impact of varying fenestration diameters on circulatory balance. Patient-specific 3D models of the pulmonary artery (PA) were reconstructed from imaging data for two clinical cases using SimVascular. Transient CFD …
Bound To Status: A Comparative Study Of Public And Private College Libraries, Lilianna Fujita
Bound To Status: A Comparative Study Of Public And Private College Libraries, Lilianna Fujita
Anthropology
This ethnographic study compares student culture and behavior at two upstate New York universities — Rensselaer Polytechnic Institute (RPI), a private STEM-focused institution, and the University at Albany (UAlbany), a public research university. Through two rounds of participant observation conducted in each school's library and three semi-structured student interviews, the author examines how institutional type, admissions selectivity, campus environment, and resource allocation shape student social dynamics, gender experiences, and overall well-being. The author argues that differences in student behavior reflect not only individual student dispositions but broader institutional decisions about who is admitted and what social infrastructure is supported.
Design Of An Extensible And Scalable Data Acquisition System For Pulse Shape Discrimination, Prince John
Design Of An Extensible And Scalable Data Acquisition System For Pulse Shape Discrimination, Prince John
McKelvey School of Engineering Graduate Student Theses & Dissertations
This thesis presents the design and development of a highly scalable, end-to-end data acquisition (DAQ) system for nuclear physics experiments that can be deployed in configurations ranging from a few to thousands of detector channels. The system is built as an extensible platform composed of modular 16-channel chipboards that support a wide range of scintillator and detector types and perform real-time, on-board data sparsification and pulse-shape processing. Three versions of the chipboard have been fabricated to date.
The DAQ architecture is based on a family of analog pulse-shape-processing application- specific integrated circuits (ASICs) developed by the IC Design Laboratory at …