Evaluation Of Retrieval-Augmented Generation (Rag) With Gpt-4o For Maxillofacial Prosthodontics Clinical Questions, Vinsensia Launardo, Merve Koseoglu, Lucky Susanto, Michael Kase, Amanda Colebeck, Heidi Huber, Maribeth Krzesinski, Derry Wijaya, Muhammad Ruslin, Alvin Gerard Wee, Heng-Li Huang, Lih-Jyh Fuh, Cortino Sukotjo

Journal of Dental Sciences

Background/purpose: Large language models (LLMs) offer promising education and clinical decision support to help address the global shortage of maxillofacial prosthodontists. To overcome the lack of source traceability in base LLMs, this study evaluated a retrieval-augmented generation (RAG) architecture for answering complex clinical questions.

Materials and methods: An expert panel consisting of five maxillofacial prosthodontists selected 15 high-complexity clinical questions. Responses were generated using base GPT-4o and a naive RAG-GPT-4o model built with domain-specific literatures. Outputs were evaluated across five parameters using a 5-point Likert scale and analyzed via Mann-Whitney U tests.

Results: No statistically significant differences …

Prediction Of Adequate Alveolar Ridge Contours For Dental Implant Placement Using An Artificial Intelligence-Based Algorithm, Hao-Chieh Chang, Shan-Pin Pan, Cheng-Liang Wu, Wei-Chan Hsu, Yi-Chun Weng, Po-Chun Chang

Journal of Dental Sciences

Background/purpose: Accurate prediction of ridge contour following ridge augmentation is an integral part of planning dental implant therapy. This study aimed to develop an artificial intelligence (AI)-based algorithm to predict adequate alveolar ridge contours for accommodating implants based on preoperative cone-beam computed tomography (CBCT) images using a deep learning (DL) approach.

Materials and methods: A total of 96 mandibular CBCT images with minor and major defects were used, virtual implants with adequate ridge contours were added, and a U-Net 2.5D model was used for DL training.

Results: The results revealed that the predicted ridge contours achieved Dice Similarity Coefficients of …

Biological Performance Enhancement Of Ni-Free Zr-Based Bulk Metallic Glass For Dental Implants Via Nitrogen Plasma Immersion Ion Implantation, Hsun-Miao Huang, Ying-Sui Sun, Ya-Lin Huang, Kai-Yi Lin, Thantrira Porntaveetus, Thanaphum Osathanon, Wei-Cheng Chen, Her-Hsiung Huang

Journal of Dental Sciences

Background/purpose: Improving the biocompatibility of bulk metallic glass (BMG) alloys is critical for expanding their applications in biomedical fields, particularly in dental implants. This study systematically investigated the suitability of nitrogen plasma immersion ion implantation (NPIII)-treated Zr-based BMG alloy for next-generation dental implant applications, focusing on protein adsorption, platelet responses, and cell behavior.

Materials and methods: NPIII was employed as a surface modification approach to enhance the biological performance of a Ni-free Zr₆₂.₅Cu₂₂.₅Fe₅Al₁₀ BMG alloy. The effects of NPIII treatment on surface characteristics, including crystallinity, chemical composition, layer thickness, roughness, and hydrophilicity, were comprehensively analyzed. Protein adsorption …

Correlation Between Preoperative Mandibular Restriction And Functional Outcomes After Arthroscopic Discopexy For Temporomandibular Joint Internal Derangement, Yen-Hung Lin Arthur, Chih-Hua Yeh, Ying-An Chen, Hui-Hsin Ko

Journal of Dental Sciences

Background/purpose: Arthroscopic discopexy is an established treatment for temporomandibular joint (TMJ) internal derangement, yet its functional benefit in patients with restricted mouth opening remains unclear. This study evaluate whether arthroscopic discopexy improves mouth opening and pain in patients with restricted mandibular mobility (maximum mouth opening [MMO] < 35 mm).

Materials and methods: This retrospective study included 46 patients (58 joints) with preoperative MMO < 35 mm who underwent TMJ arthroscopic discopexy between January 2023 and December 2024. MMO, Visual Analog Scale (VAS) pain scores, and MRI-confirmed disc repositioning success were compared preo- and postoperatively using the Wilcoxon signed-rank test. MMO improvement was analyzed by severity band with multiple linear regression to assess confounders and sensitivity analysis excluding bilateral cases.

Results: MMO increased from 28.7 ± 4.1 mm to 34.2 ± 3.9 mm (P < 0.001), with a mean improvement of +5.5 mm (95% CI: +4.2 to +6.8). VAS decreased from 3.81 ± 2.93 to 0.18 ± 0.89 (P < 0.001). A dose–response relationship was observed: patients with MMO 20–24 mm gained +11.0 mm, those with 25–29 mm gained +7.5 mm, and those with 30–34 mm gained +2.7 mm. Preoperative MMO remained the only significant predictor after adjusting for confounders (B = −0.812, P < 0.001). Disc repositioning was achieved in 75.9% of joints; 55.2% achieved postoperative MMO ≥ 35 mm.

Conclusion: Arthroscopic discopexy produces significant clinically improvements in mouth opening and pain in patients with restricted mandibular mobility, with the greatest benefit in …

Effects Of 850-Nm Light-Emitting Diode Photobiomodulation On Pain Intensity And Dentin Sialoprotein Levels During Canine Distalization: A Randomized Controlled Trial., Thanh Thuy-Nhat Cao, Anh Ho-Quynh Nguyen, Hung Trong Hoang, Tham Dong Khac, Phuc Hoai Le, Tu Trinh Hk, Kieu-Minh Le, Diem Truong

Journal of Dental Sciences

Background/purpose

Light-emitting diode-based photobiomodulation (LED PBM) potentially reduces pain and root resorption risk in orthodontics. This study evaluated 850-nm LED PBM effects on pain and dentin sialoprotein (DSP) levels during canine distalization.

Materials and methods

This single-blind, parallel-group randomized controlled trial included 16 orthodontic patients (8 per group). Participants were randomly allocated in a 1:1 ratio to either an active LED group or a sham control group. Pain intensity was assessed using a visual analog scale (VAS) at 0, 24, and 48 hours following canine distalization at four consecutive monthly visits (T₁-T₄) and expressed as the …

Significantly Higher Frequencies Of Anemia, Vitamin B12 Deficiency, And Hyperhomocysteinemia In Recurrent Aphthous Stomatitis Patients With Macrocytosis, Yu-Hsueh Wu, Yi-Ping Wang, Yi-Pang Lee, Julia Yu-Fong Chang, Andy Sun, Chun-Pin Chiang

Journal of Dental Sciences

Background/purpose: Macrocytosis is defined as having the mean corpuscular volume (MCV) ≥ 100 fL. This study evaluated whether 14 recurrent aphthous stomatitis (RAS) patients with macrocytosis (macrocytosis/RAS patients) had significantly higher frequencies of anemia, hematinic deficiencies, hyperhomocysteinemia, and serum gastric parietal cell antibody (GPCA) positivity than 430 healthy control subjects or 430 RAS patients.

Materials and methods: Complete blood count, serum iron, vitamin B12, folic acid, homocysteine, and GPCA levels in 14 macrocytosis/RAS patients, 430 RAS patients, and 430 healthy control subjects were measured and compared.

Results: We found that 92.9%, 14.3%, 85.7%, 0.0%, 85.7%, and 35.7% of 14 macrocytosis/RAS …

Exosomes Derived From Bone Substitute-Induced Gingival Mesenchymal Stem Cells Promote Angiogenesis, Chongyu Shen, Zheng Guan, Rui Chu, Zhengyin Li, Jiangting Lu, Liangkun Xie

Journal of Dental Sciences

Background/purpose: In certain clinical bone grafting scenarios, bone substitutes frequently interface with the adjacent soft tissues. This study aimed to investigate whether deproteinized bovine bone mineral (DBBM) and coralline hydroxyapatite (CHA) induce paracrine responses in human gingival mesenchymal stem cells (GMSCs), thereby altering the pro-angiogenic capacity of their derived exosomes, and to profile specific cargo alterations.

Materials and methods: Exosomes were isolated from GMSCs co-cultured with DBBM (DBBM-G-EXO) or CHA (CHA-G-EXO), while native GMSCs-derived exosomes (G-EXO) were collected as controls. The angiogenic effects of these exosomes on human umbilical vein endothelial cells (HUVEC) were evaluated via cell proliferation, scratch wound …

Biphasic Remodeling And Trabecular-Cortical Uncoupling In The Jawbone During Antiresorptive Therapy And Medication-Related Osteonecrosis: A Quantitative Imaging Analysis, Ling-Ying Wei, Jun-Ching Lee, Ching-Ming Chiu, Sang-Heng Kok, Hung-Ying Lin, Wei-Yih Chiu, Hao-Hueng Chang, Shih-Jung Cheng, Jang-Jaer Lee

Journal of Dental Sciences

Background/purpose: Although antiresorptive therapy (ART) is crucial for managing oncology-related skeletal complications, it carries a risk of medication-related osteonecrosis of the jaw (MRONJ). Because conventional radiography relies on subjective interpretation, detecting early necrotic transition remains challenging. This study aimed to establish objective, quantitative imaging criteria for jawbone remodeling and MRONJ onset by evaluating 2D fractal dimension (FD) and 3D CBCT cortical thickness under zoledronic acid or denosumab therapy.

Materials and methods: Panoramic radiographs and CBCT scans of cancer patients receiving zoledronic acid (ZA, n = 155) or denosumab (Dmab, n = 168), and healthy controls (n = 95) were analyzed. …

Anemia, Hematinic Deficiencies, And Gastric Parietal Cell Antibody Positivity In Recurrent Aphthous Stomatitis Patients With Or Without Hyperhomocysteinemia, Yi-Ping Wang, Yu-Hsueh Wu, Yi-Pang Lee, Julia Yu-Fong Chang, Andy Sun, Chun-Pin Chiang

Journal of Dental Sciences

Background/purpose: Our previous study found that 42 of 430 recurrent aphthous stomatitis (RAS) patients have hyperhomocysteinemia. This study assessed whether these 42 RAS patients with hyperhomocysteinemia (hyperhomocysteinemia/RAS patients) had significantly higher frequencies of anemia, hematinic deficiencies, and serum gastric parietal cell antibody (GPCA) positivity than 388 RAS patients without hyperhomocysteinemia (non-hyperhomocysteinemia/RAS patients) or 430 healthy control subjects.

Materials and methods: The blood hemoglobin (Hb) and serum iron, vitamin B12, folic acid, homocysteine, and GPCA levels in 42 hyperhomocysteinemia/RAS patients, 388 non-hyperhomocysteinemia/RAS patients, and 430 healthy control subjects were measured and compared.

Results: We found that 42 hyperhomocysteinemia/RAS patients had significantly …

Keratin 18 As A Cytoskeletal Regulator Of Epithelial–Mesenchymal Plasticity And Prognostic Risk In Oral Squamous Cell Carcinoma, Tuan-Yu Kao, Hsuan-Chao Lin, Chien-Wei Lai, Julia Yu-Fong Chang, Feng-Chiao Tsai, Jang-Jaer Lee, Jean-San Chia

Journal of Dental Sciences

Background/purpose: Oral squamous cell carcinoma (OSCC) shows poor survival, and conventional staging does not fully capture biologic aggressiveness. Keratin 18 (KRT18) has been linked to malignant progression in epithelial cancers, but its prognostic and biologic significance in OSCC remains unclear. This study investigated whether KRT18 expression is associated with aggressive invasion patterns and adverse outcomes in OSCC, and whether KRT18 contributes to epithelial–mesenchymal plasticity-related malignant phenotypes.

Materials and methods: Eighty-eight non-irradiated OSCC specimens obtained after primary surgical resection at National Taiwan University Hospital were analyzed by immunohistochemistry. Associations between KRT18 expression and clinicopathological variables were assessed, and survival was evaluated …

Oral Health Knowledge Across Cultural Boundaries: A Physiology And Hygiene Textbook From The Tamsui Middle School During The Japanese Colonial Period, Hung-Lun Pan, Feng-Chou Cheng, Chun-Pin Chiang

Journal of Dental Sciences

No abstract provided.

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

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

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

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

Journal of Dental Sciences

No abstract provided.

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

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

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

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

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

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

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

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

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

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

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

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

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

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 …