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Articles 46471 - 46500 of 49309
Full-Text Articles in Entire DC Network
Light-Curing Staining Materials And Application Techniques For Dental Resin Restorations, Fu-Chuan Tsai, Kuo‑Ning Ho, Yu-Chieh Lin, Wei-Chun Lin
Light-Curing Staining Materials And Application Techniques For Dental Resin Restorations, Fu-Chuan Tsai, Kuo‑Ning Ho, Yu-Chieh Lin, Wei-Chun Lin
Journal of Dental Sciences
No abstract provided.
Topical Fluoride Treatment For Irradiated Head And Neck Cancer Patients Under Taiwan's National Health Insurance System, Feng-Chou Cheng, Mu-Hsiung Chen, Sheau-Jing Yu, Chun-Pin Chiang
Topical Fluoride Treatment For Irradiated Head And Neck Cancer Patients Under Taiwan's National Health Insurance System, Feng-Chou Cheng, Mu-Hsiung Chen, Sheau-Jing Yu, Chun-Pin Chiang
Journal of Dental Sciences
No abstract provided.
The Evolution Of Artificial Intelligence And Deep Learning In Removable Partial Denture Design, Fu-Chuan Tsai, Hsin-Hua Chou, Takashi Saito, Wei-Chun Lin
The Evolution Of Artificial Intelligence And Deep Learning In Removable Partial Denture Design, Fu-Chuan Tsai, Hsin-Hua Chou, Takashi Saito, Wei-Chun Lin
Journal of Dental Sciences
No abstract provided.
Virtual Patient Technology Enabled The Reconstruction Of Craniofacial Hard And Soft Tissues Through The Integration And Superimposition Of Multimodal Dental Imaging Datasets, Hsin-Hua Chou, Kuo‑Ning Ho, Takashi Saito, Wei-Chun Lin
Virtual Patient Technology Enabled The Reconstruction Of Craniofacial Hard And Soft Tissues Through The Integration And Superimposition Of Multimodal Dental Imaging Datasets, Hsin-Hua Chou, Kuo‑Ning Ho, Takashi Saito, Wei-Chun Lin
Journal of Dental Sciences
No abstract provided.
Roles And Functions Of The Dental Division At The National Taiwan University Cancer Center, Feng-Chou Cheng, Yu-Jie Shen, Shu-Yu Liu, Chun-Pin Chiang
Roles And Functions Of The Dental Division At The National Taiwan University Cancer Center, Feng-Chou Cheng, Yu-Jie Shen, Shu-Yu Liu, Chun-Pin Chiang
Journal of Dental Sciences
No abstract provided.
Social Roles And Faculty Perception Of Collegiate Presidential Candidates, Aaron D. Leedy
Social Roles And Faculty Perception Of Collegiate Presidential Candidates, Aaron D. Leedy
UNF Graduate Theses and Dissertations
Presidential positions lack the same diversity seen at all other levels within higher education, with only 32.8% of college presidents identifying as women in 2022 (American Council on Education [ACE], 2023). This documented lack of diversity amongst college presidents seems to point to a historical bias in hiring practices for these positions with extant research (Correll & Benard, 2006; Eagly & Carli, 2018; Friedmann & Efrat-Treister, 2023; Moss-Racusin et al., 2012; Sussman, 2019), showing search committees seem to be biased against women candidates for presidential and other leadership roles. Universities expect leaders to be dominant in their positions, and society …
Influence Of A Structured Strength Program On Sport-Related Outcomes In Female Lacrosse Players, Taylor R. Howard
Influence Of A Structured Strength Program On Sport-Related Outcomes In Female Lacrosse Players, Taylor R. Howard
UNF Graduate Theses and Dissertations
Per the National Collegiate Athletic Association (NCAA), approximately 30,000 individuals participate in collegiate lacrosse in the United States, roughly 13,000 being women. Participation beyond the NCAA has increased substantially in the National Association of Intercollegiate Athletics (NAIA), National Junior College Athletics Association (NJCAA), the Women’s Club Lacrosse Association (WCLA), and high school programs nationwide. As women’s lacrosse continues to grow, strength and conditioning programs at the collegiate level have become pervasive to enhance athletic performance. However, limited research exists examining the impact of strength training on physical performance in women’s lacrosse.
The purpose of this study was to investigate the …
A Comparative Study Of Classification Methods For Healthcare Analytics, Xueting Zhao
A Comparative Study Of Classification Methods For Healthcare Analytics, Xueting Zhao
UNF Graduate Theses and Dissertations
This thesis presents a comparative study of logistic regression, Linear Discriminant Analy- sis (LDA), and Quadratic Discriminant Analysis (QDA) for binary classification in healthcare analytics, integrating theoretical derivation, simulation, and real-data application. A facto- rial simulation study crosses the covariance structure (equal vs. unequal), predictor correla- tion (ρ ∈ {0, 0.5, 0.9}), dimensionality (p ∈ {2, 5, 10}) and sample size (n ∈ {50, 100, 200}) across 54 scenarios with 1,000 Monte Carlo replicates each. Three main findings emerge. Logistic regression and LDA are nearly interchangeable when the assumption of equal-covariance holds. QDA achieves substantially better discrimi- nation when class-specific …
Widowed And Wounded? Exploring The Health Impacts Of Adverse Childhood Experiences In Later Life Widowhood, Sierra Wickline
Widowed And Wounded? Exploring The Health Impacts Of Adverse Childhood Experiences In Later Life Widowhood, Sierra Wickline
UNF Graduate Theses and Dissertations
Losing a spouse is considered one of the most stressful life events that disproportionately affect older individuals. Exposure to traumatic events at an early age can change the body’s response to subsequent stressors across the lifespan. These physical changes often impact people’s health. Utilizing data from the Health and Retirement Study, the current study aimed to investigate the link between: adverse childhood experiences (ACEs) and three indicators of health: inflammation (i.e., c-reactive protein [CRP], reflecting immune functioning), as well as self-reported depressive symptoms and physical health, among people who have lost a spouse. Participants included 97 widowed individuals aged 68 …
Brewing Black Girl Magic: From Hush-Toned Kitchens To Educational Spaces: A Narrative Inquiry Into The Inherited Wisdom, Radical Resilience, And Professional Becoming Of Black Women, A Three-Paper Dissertation, Sheryl Patterson-Coulibaly
Brewing Black Girl Magic: From Hush-Toned Kitchens To Educational Spaces: A Narrative Inquiry Into The Inherited Wisdom, Radical Resilience, And Professional Becoming Of Black Women, A Three-Paper Dissertation, Sheryl Patterson-Coulibaly
UNF Graduate Theses and Dissertations
This dissertation examines how racialized and gendered expectations shape the professional experiences of Black women in predominantly white educational spaces. Drawing on a three-article format, this study investigates how Black women navigate institutional conditions that depend on their labor yet fail to provide adequate support. Grounded in Black Feminist Marxist Thought and emerging Black Womanist Theory, the study centers the emotional, relational, and spiritual dimensions of Black women’s labor, extending traditional analyses of work, leadership, and resilience.
Of Fire and Fabrication: A Systematic Review on the Myth of Strength and Erasure of Black Women in White Educational Spaces reveals that …
Operationalizing Mtss: A Case Study Of Principal Leadership Practices In Guiding School-Based Leadership Teams Through Inquiry And Improvement Science, Heather M. Teto
Operationalizing Mtss: A Case Study Of Principal Leadership Practices In Guiding School-Based Leadership Teams Through Inquiry And Improvement Science, Heather M. Teto
UNF Graduate Theses and Dissertations
The COVID-19 pandemic widened academic achievement gaps, creating an urgent mandate for school leaders to implement systemic, data-driven frameworks to support student academic recovery. While the Multi-Tiered System of Supports (MTSS) is a widely adopted framework for addressing these disparities, its success is dependent on the strategic involvement and instructional leadership of the school principal. This qualitative case study explores the lived experiences and leadership characteristics of elementary school principals as they lead School-Based Leadership Teams in implementing a district-developed MTSS framework.
Guided by the principles of Improvement Science and the Plan-Do-Study-Act (PDSA) inquiry cycle, this research examines the specific …
The Un-Bridged Pipeline: Leading And Preparing Women Of Color To Senior-Level Higher Education Administration, Jacqueline D. Slater
The Un-Bridged Pipeline: Leading And Preparing Women Of Color To Senior-Level Higher Education Administration, Jacqueline D. Slater
UNF Graduate Theses and Dissertations
Despite increased educational attainment among Black women, representation in senior‑level leadership positions within higher education remains limited. This qualitative study examines the experiences of Black women who serve or have served in senior‑level academic administrative roles and explores how those experiences inform guidance, preparation, and decision‑making for future Black women leaders. The study focuses on practical barriers, workplace realities, and strategies that shape leadership entry, advancement, and retention.
Using a descriptive case study design, five Black women with professional experience as presidents, provosts, vice provosts, and academic deans participated in semi‑structured interviews lasting 45 to 75 minutes. Purposeful sampling ensured …
Fostering Reading: Review Of A College Bridge Program For Deaf And Hard Of Hearing High School Students, Cara Wilmot
Fostering Reading: Review Of A College Bridge Program For Deaf And Hard Of Hearing High School Students, Cara Wilmot
UNF Graduate Theses and Dissertations
This mixed-methods formative program evaluation examined the reading component of a summer College Bridge Program (CBP) designed for high school students who are deaf and hard of hearing (d/Dhh). Persistent disparities in reading outcomes among d/Dhh students have been linked to differences in language access, communication access, and opportunities to receive specialized instruction. Using the Context, Input, Process, Product (CIPP) evaluation model, this study evaluated how the CBP identified and addressed students' reading needs, implemented evidence-based instructional practices, and supported reading development through a three-week summer program.
Participants included 45 d/Dhh high school students from 12 southeastern states, as well …
Exploring The Undergraduate Student Perceptions Of Sense Of Belonging At Their University: A Q-Methodological Approach, Jose Acevedo
Exploring The Undergraduate Student Perceptions Of Sense Of Belonging At Their University: A Q-Methodological Approach, Jose Acevedo
UNF Graduate Theses and Dissertations
The transition to higher education is a significant life event requiring substantial social, academic, and psychological adjustment, during which a powerful sense of belonging is critical for student success and retention. While traditional models of student retention often prioritize support services and academic integration, they frequently overlook the intricate relational dynamics and deeply personal subjective experiences that shape belonging. This research utilized Q methodology to explore the multifaceted ways undergraduate students at the University of North Florida (UNF) understand and prioritize the determinants of institutional belonging. Guided by an integrated conceptual framework of Maslow’s Hierarchy of Needs, Self-Determination Theory, Social …
Can We Read Ai’S Mind? A Quest For Transparency, Santhosh Kumar Ravindran, Estera Kot, Fiona Fui-Hoon Nah
Can We Read Ai’S Mind? A Quest For Transparency, Santhosh Kumar Ravindran, Estera Kot, Fiona Fui-Hoon Nah
Research Collection School Of Computing and Information Systems
Although Artificial Intelligence (AI) systems are playing an increasing role in critical domains such as healthcare, finance, and autonomous systems, their decision-making processes remain largely opaque. This paper examines the challenges of AI transparency, addressing the “black box” problem using Explainable AI (XAI) techniques such as SHapley Additive exPlanations (SHAP) and Local Interpretable Model-agnostic Explanations (LIME). It also examines the ethical, regulatory, and societal implications of AI opacity and proposes a Comprehensive AI Observability (CAO) Framework that integrates deep explainability, provenance tracking, and real-time monitoring to enhance AI accountability. By bridging technical solutions with governance structures, this research emphasizes the …
Interpretable Machine Learning For In-Home Mild Cognitive Impairment Detection, Budhitama Subagdja, Shanthoshigaa D, Ah-Hwee Tan, Iris Rawtaer
Interpretable Machine Learning For In-Home Mild Cognitive Impairment Detection, Budhitama Subagdja, Shanthoshigaa D, Ah-Hwee Tan, Iris Rawtaer
Research Collection School Of Computing and Information Systems
This paper introduces a novel system for in-home cognitive health assessment using ambient sensors and a machine learning technology that can robustly detect mild cognitive impairment (MCI) despite limited available data. The learned model can explain the aspects of individuals’ daily lives led to the prediction, while reliably predicting MCI, providing more insights to healthcare workers for further clinical interventions. We developed the robust transparent machine learning model, based on fusion adaptive resonance theory (Fusion ART) neural network to learn individuals’ daily patterns of activity from continuous sensor data in terms of a suite of digital biomarkers reflecting four key …
Dual-Lora And Quality-Enhanced Pseudo Replay For Multimodal Continual Food Learning, Xinlan Wu, Bin Zhu, Feng Han, Pengkun Jiao, Jingling Chen
Dual-Lora And Quality-Enhanced Pseudo Replay For Multimodal Continual Food Learning, Xinlan Wu, Bin Zhu, Feng Han, Pengkun Jiao, Jingling Chen
Research Collection School Of Computing and Information Systems
Food analysis has become increasingly critical for health-related tasks such as personalized nutrition and chronic disease prevention. However, existing large multimodal models (LMMs) in food analysis suffer from catastrophic forgetting when learning new tasks, requiring costly retraining from scratch. To address this, we propose a novel continual learning framework for multimodal food learning, integrating a Dual-LoRA architecture with Quality-Enhanced Pseudo Replay. We introduce two complementary low-rank adapters for each task: a specialized LoRA that learns task-specific knowledge with orthogonal constraints to previous tasks’ subspaces, and a cooperative LoRA that consolidates shared knowledge across tasks via pseudo replay. To improve the …
Analysis Theories On Artificial Intelligence, Chatgpt, Data Science, And Metaverse: The Case Of Digital Medicine, Yin Yang, Xingyun Liu, Jorge Luis Cuyubamba Dominguez, Yuan Fang, Wen Xie, Bairong Shen, Keng Siau
Analysis Theories On Artificial Intelligence, Chatgpt, Data Science, And Metaverse: The Case Of Digital Medicine, Yin Yang, Xingyun Liu, Jorge Luis Cuyubamba Dominguez, Yuan Fang, Wen Xie, Bairong Shen, Keng Siau
Research Collection School Of Computing and Information Systems
Healthcare organizations are increasingly adopting digital technologies, with Artificial Intelligence (AI), Data Science, and the metaverse driving significant advancements in smart healthcare. Al facilitates personalized medicine and efficient drug development, while Data Science enables predictive analytics and big data management, enhancing patient outcomes and healthcare quality. The metaverse introduces immersive training and telemedicine platforms, revolutionizing patient engagement and healthcare research. This study conducts' a scoping review of 6,171 articles, analyzing the transformational impact of AI, ChatGPT, Data Science, and the metaverse on healthcare. It highlights the benefits and risks of these technologies, identifies research gaps in their application within the …
Llamoco: Instruction Tuning Of Large Language Models For Optimization Code Generation, Zeyuan Ma, Yue-Jiao Gong, Hongshu Guo, Jiacheng Chen, Yining Ma, Zhiguang Cao
Llamoco: Instruction Tuning Of Large Language Models For Optimization Code Generation, Zeyuan Ma, Yue-Jiao Gong, Hongshu Guo, Jiacheng Chen, Yining Ma, Zhiguang Cao
Research Collection School Of Computing and Information Systems
Recently, combining the strength of large language models (LLMs) and Evolutionary Computation (EC) has shown promising results for addressing optimization problems. It typically involves either iterative next-step solution seeking or directly prompting LLMs to generate critical optimization codes. However, these methods often suffer from low computational efficiency, high sensitivity to prompt design, and a lack of domain-specific knowledge. We introduce LLaMoCo, the first instruction-tuning framework designed to adapt LLMs for solving optimization problems in a code-to-code manner. LLaMoCo features a comprehensive instruction set that includes code-style problem descriptions as input prompts and robust optimization codes from expert EC optimizers as …
Understanding Wage Theft: Beyond The Numbers Through Community Practice, Lived Experience, And Research, André Simões Da Silva, Lenita Reason, Cristina Araujo Brinkerhoff
Understanding Wage Theft: Beyond The Numbers Through Community Practice, Lived Experience, And Research, André Simões Da Silva, Lenita Reason, Cristina Araujo Brinkerhoff
Gastón Institute Publications
Wage theft is a widespread form of labor exploitation that disproportionately affects immigrant and other vulnerable workers. This report examines the scope and impact of wage theft in Massachusetts by analyzing case data from the Brazilian Worker Center (BWC) alongside wage and labor enforcement data from the Massachusetts Attorney General’s Office (AGO). The analysis demonstrates how wage theft affects immigrant workers across industries, with particularly high numbers of cases in construction, cleaning, and hospitality. The data also reveal significant gaps in the reporting and enforcement of wage violations, particularly among domestic workers, whose cases are likely substantially underrepresented in available …
The Journey Of High School Teachers Evolving Into Career Educators, Diane B. Ried
The Journey Of High School Teachers Evolving Into Career Educators, Diane B. Ried
UNF Graduate Theses and Dissertations
Abstract
Teacher attrition has been a major challenge in the United States for decades, but more so after covid. This case study explored and expanded the understanding of the different levels of environmental impact on high school teacher retention in a Florida high school as they evolved into career educators. The present study used Bronfenbrenner’s (1979) Ecological Systems Theory to examine the teacher’s retention in a county in northcentral Florida. In order to better understand the experience of career development, this study used Savickas’ Career Construction Theory (2019). This case study investigated strategies, supports, and diversity related initiatives impacting a …
Effects Of Pressure-Based Virtual Reality Training On Mental Toughness In Athletes, Rylee J. Aspinwall
Effects Of Pressure-Based Virtual Reality Training On Mental Toughness In Athletes, Rylee J. Aspinwall
UNF Graduate Theses and Dissertations
Athletes often underperform in high-pressure situations due to challenges in emotional regulation rather than deficits in physical skill. Mental toughness, broadly defined as the ability to maintain performance under stress, is a key determinant of athletic success but remains difficult to train using traditional methods. Virtual reality (VR) offers a controlled and immersive environment for simulating competitive pressure; however, its application for training mental toughness remains limited. The present study examined the effects of pressure-based VR training on psychological and physiological responses in collegiate baseball and softball athletes. Participants completed up to eight VR training sessions under either high-pressure or …
Regulation And Localization Of Urease In Sporosarcina Pasteurii: Implications For Coastal Protection, Amar Kosovac
Regulation And Localization Of Urease In Sporosarcina Pasteurii: Implications For Coastal Protection, Amar Kosovac
UNF Graduate Theses and Dissertations
Coastal erosion is a persistent problem exacerbated by global warming. As the climate changes, the southeastern coast is likely to experience an increased frequency and intensity of storms, which can significantly damage the coastline. The coast is crucial as it serves as a habitat for numerous animals, supports tourism, and underpins infrastructure. Microbially induced calcite precipitation (MICP) is a novel method to enhance erosion resistance in sandy soils using the non-pathogenic bacterium Sporosarcina pasteurii. S. pasteurii produces urease to catalyze urea into bicarbonate, which drives the precipitation of calcium carbonate. Maximal expression of urease is a limiting factor for …
Social Support, Trauma And Neurophysiological Stress, Devon S. Glicken
Social Support, Trauma And Neurophysiological Stress, Devon S. Glicken
UNF Graduate Theses and Dissertations
Traumatic life experiences and the prolonged effects of stress can negatively impact an individual’s mental and physical health. Hyperreactivity to acute stressors can often be seen in individuals with anxiety, depression, and suicidal ideations, conditions commonly observed with endocrine dysfunction. How do traumatic experiences, particularly experiences related to military affiliation, influence stress responses and feelings of burdensomeness and thwarted belongingness? This study predicted (1) that military-affiliated individuals (and those with PTSD symptomology and high perceived life stress) will have heightened neurophysiological responses to minor levels of acute stress compared to individuals without military-affiliations (and those without PTSD symptomology or high …
From Preparation To Practice: A Study Of Assistant Principals After Completion Of An Aspiring Assistant Principal Preparation Program, Mallory L. Mcconnell
From Preparation To Practice: A Study Of Assistant Principals After Completion Of An Aspiring Assistant Principal Preparation Program, Mallory L. Mcconnell
UNF Graduate Theses and Dissertations
Leadership programs and readiness in schools, particularly those in Florida, is well studied. However, few studies have investigated how current assistant principals who have completed Clay County District School’s Aspiring Assistant Principal Program describe their experiences, believe the program has prepared them for the realities of school leadership, or identify the most impactful elements that have supported their leadership development. This case study seeks to collect foundational research knowledge by analyzing data from the program, participants, and key facilitators. Using a sampling of current assistant principals who have completed the Aspiring Assistant Principal Program, this research examines the results in …
Development And Testing Of A Low-Cost Inertial Impact Sensor, Gabriel Michael Pesek
Development And Testing Of A Low-Cost Inertial Impact Sensor, Gabriel Michael Pesek
UNF Graduate Theses and Dissertations
Acceleration sensors have seen increasing usage within sports to detect when somebody receives an impact to their head which can potentially lead to Traumatic Brain Injury (TBI). While adoption of these sensors has steadily risen, the cost of these sensors is often cited as a reason they have not been as widely adopted, especially for amateur teams. This leads to the need for a lower-cost option for detecting these impacts. To fill this gap, a low-cost, lightweight acceleration sensor was designed that exploits the inertia of a working fluid on impact in order to rupture a metallic membrane which acts …
Regulation Of Private Higher Education In Mexico: How Non-Elite Institutions Navigate Authorization, Edson Eduardo Navarro Meza
Regulation Of Private Higher Education In Mexico: How Non-Elite Institutions Navigate Authorization, Edson Eduardo Navarro Meza
Electronic Theses & Dissertations (2024 - present)
Low quality, excessive commercialization, fraud, profit in disguise, and predatory dynamics remain the most pressing regulatory challenges in the context of private higher education in Mexico. These problems have been largely attributed to the ineffectiveness of authorization mechanisms, which have repeatedly become the focus of controversy and criticism from social, academic, and media sectors regarding their role in shaping the development of the sector. Some observers blame the government for its inaction in the face of rapid institutional proliferation, as well as for maintaining authorization procedures that have proven to be ineffective gatekeepers of sectoral expansion. Others place responsibility on …
Three Essays In Labor Economics, Yoritsugu Shimazu
Three Essays In Labor Economics, Yoritsugu Shimazu
Electronic Theses & Dissertations (2024 - present)
The first chapter decomposes aggregate productivity growth into a pure-technology contribution and an allocative-efficiency contribution for Japan and the United States, applying a single estimation methodology symmetrically to comparable firm-level panels. Production functions are estimated by the Gandhi, Navarro, and Rivers (2020) gross-output procedure under monopolistic competition (GNR-MC), which recovers firm-level price markups and wage markdowns, and these enter the Baqaee–Farhi (2020) decomposition through the closed form of Aoki et al. (2024). Both panels are drawn from Compustat with identical pre-processing and estimation, and we close the markup-level identification gap that GNR leave open with a normalization anchored on the …
Hepatitis C Among Persons Who Inject Drugs In New York State: Progress Towards Elimination, Meredith A. Barranco
Hepatitis C Among Persons Who Inject Drugs In New York State: Progress Towards Elimination, Meredith A. Barranco
Electronic Theses & Dissertations (2024 - present)
Background: Hepatitis C virus (HCV) infection is one of the leading causes of liver disease in the United States (US) and worldwide. In the United States today, HCV is transmitted primarily through injection drug use (IDU) and therefore disproportionately impacts persons who inject drugs (PWID), a population with a range of complex social and health needs. HCV is not vaccine-preventable but can be cured in over 90% of cases with an 8–12-week course of daily direct-acting antiviral (DAA) medication. Since approval of curative medications in 2014, various jurisdictions have developed plans to eliminate HCV. In 2021, the New York State …
Bayesian Modelling On Periodically And Multiple Periodically Correlated Time Series Data, Jie Yao
Bayesian Modelling On Periodically And Multiple Periodically Correlated Time Series Data, Jie Yao
Electronic Theses & Dissertations (2024 - present)
Time series with multiple periodically correlated (MPC) components present a complex challenge, with relatively limited prior research. Most existing models are designed for simpler periodically correlated (PC) components and often struggle with over-parameterization, optimization issues, and capturing complex PC patterns within a time series. Frequency separation techniques can help preserve the correlation structure of individual PC components, while Bayesian methods can integrate new and prior information to refine beliefs about these components. This study proposes a two-stage approach that combines frequency separation and Bayesian techniques to forecast PC and MPC time series data. This method aims to demonstrate improved effectiveness …