Digital Commons Network^™

Performance Of Chatgpt-4, Gemini, And Deepseek-V3 On English-Translated Questions From The Taiwan National Dental Technician Licensing Examination Over A Three-Week Period, Yi-Pang Lee, Ching-Yi Huang, Andy Sun, Chun-Pin Chiang

Journal of Dental Sciences

Background/purpose: Large language models (LLMs) have shown potential in answering professional examination questions. This study evaluated the performance of ChatGPT-4, Gemini, and DeepSeek-V3 in answering English-translated questions from the 2023 Taiwan National Dental Technician Licensing Examination (TNDTLE) over a three-week period.

Materials and methods: A total of 194 English-translated, text-based multiple-choice questions were selected from the 2023 TNDTLE. ChatGPT-4, Gemini, and DeepSeek-V3 were used to answer the same set of English-translated questions at four time points: baseline and one-, two-, and three-week follow-ups. Accuracy rates (ARs) were calculated and compared to evaluate changes over time and differences among the three …

Performance Of Chatgpt-4, Gemini, And Deepseek-V3 In Answering The Prompt-Engineered Questions From The Taiwan National Dental Technician Licensing Examination Over A Three-Week Period, Yi-Pang Lee, Ching-Yi Huang, Andy Sun, Chun-Pin Chiang

Journal of Dental Sciences

Background/purpose: Large language models (LLMs) have shown promise in answering professional examination questions. This study evaluated the performance of ChatGPT-4, Gemini, and DeepSeek-V3 in answering prompt-engineered questions selected from the 2023 Taiwan National Dental Technician Licensing Examination (TNDTLE) over a three-week period.

Materials and methods: A total of 194 Chinese-language text-based multiple-choice questions were selected from the 2023 TNDTLE. The three LLMs answered these questions using a standardized prompt referring to 17 dental technology textbooks. Accuracy rates (ARs) were recorded at baseline and after one, two, and three weeks. Comparisons of ARs over time, among three LLMs, between basic and …

Ensemble Learning For Predicting Periapical Lesions From Dental Radiographs, Fang-Yuan Liao, Ming-Jyun Jian, Abdullah Sarini, Yulianto Jesica, Yen-Kun Lin, Hsun-Yu Huang

Journal of Dental Sciences

Background/purpose: Diagnosing periapical cysts and granulomas using periapical radiographs is challenging due to subtle radiographic differences. This study aimed to develop a machine learning–based diagnostic framework to improve lesion classification through ensemble learning and dentin standardization.

Materials and methods: Five models—Support Vector Classifier (SVC), Nu-SVC, K-Nearest Neighbors (KNN) and Decision Tree—were trained on 144 pre-treatment periapical radiographs (70 cysts and 74 granulomas). Dentin standardization normalized grayscale values to ensure feature consistency. A weighted soft voting strategy was employed to integrate predictions, with model weights derived from individual diagnostic performance. Model performance was evaluated via five-fold cross-validation. Statistical significance among models …

Rigorous Validation Of Machine Learning Models For Orthodontic Extraction Prediction Using Nested Cross-Validation And Smotenc-Integrated Pipelines., Anh Thi-Ngoc Do, Hung Trong Hoang, Thuy-Trang Thi Ho, Hieu Ngoc Le

Journal of Dental Sciences

Background/purpose: Machine learning (ML) in orthodontics often suffers from optimistic bias due to data leakage and improper handling of class imbalance. This study implemented and evaluated a production-grade validation framework - nested cross-validation (CV) - for three distinct algorithm classes (logistic regression, random forest, and gradient boosting) using a consensus-labeled orthodontic dataset.

Materials and methods: A retrospective dataset of 500 patients (334 non-extraction/166 extraction) was curated with 41 processed features. Two stratified split protocols (70/30 and 80/20) were evaluated to assess model robustness. To ensure methodological rigor, a 5-fold outer/3-fold inner nested cross-validation was implemented. Crucially, SMOTENC (synthetic minority over-sampling …

Influence Of All-On-4 Implant Angles On Stability And Crestal Bone - A Finite Element Optimization Analysis,, Jing-Jie Chen, Chen-Sheng Chen

Journal of Dental Sciences

No abstract provided.

Mesenchymal Stem Cells Derived From Gingiva Normoxic Or Hypoxic-Preconditioning Allogenous Transplantation Affect Orthodontic Tooth Movement In Vivo, Alexander Patera Nugraha, Guang Hong

Journal of Dental Sciences

No abstract provided.

A Bibliometric Evolution Of Molecular Mechanisms And Emerging Research Trends Of Therapeutic Resistance In Oral Cancer, Chu-Yen Chien, Ying-Chen Chen, Jia-Rong Wu, Hsu-Hua Chu, Yi-Jen Hung, Yi-Shing Shieh

Journal of Dental Sciences

Background/purpose: Drug resistance has served as a primary determinant of treatment failure and disease recurrence in oral cancer. The present study aimed to evaluate the global research landscape of drug resistance mechanisms in oral cancer by integrating bibliometric mapping with bioinformatic validation.

Materials and methods: A comprehensive dataset of 1660 publications was retrieved from the Scopus database. Bibliometric analyses were performed using Biblioshiny and VOSviewer to evaluate publication trends, collaborative networks, and thematic evolution. To bridge research trends with biological mechanisms, 1469 genes associated with oral cancer and drug resistance were extracted from the GeneCards database and subjected to functional …

Digital Twin Freshness Maximization In Edge Computing, Jing Li, Jianping Wang, Weifa Liang, Quan Chen, Sajal K. Das, Xiaohua Jia

Computer Science Faculty Research & Creative Works

Mobile Edge Computing (MEC) shifts powerful computing resource provisioning from remote powerful data centers to the edge of core networks. Meanwhile, Digital Twin (DT) has surfaced as a promising technology to provide comprehensive and dynamic descriptions of physical objects in cyberspace with bidirectional and real-time interactions. Moreover, Internet of Things (IoT) devices have contributed abundant, heterogeneous and continuous data from interconnected devices to the explosion of DTs. With technologies evolution, there is an increasing necessity to address the freshness of both DT states and DT data, through timely synchronizations between DTs and their objects in a highly dynamic IoT environment. …

On-Device Artificial Intelligence Solutions With Applications To Smart Environments, Fabrizio De Vita, Dario Bruneo, Sajal K. Das

Computer Science Faculty Research & Creative Works

Recent advances in Artificial Intelligence (AI) and the increasing availability of computational power have accelerated the diffusion of Intelligent Cyber-Physical Systems (ICPSs), enabling smart applications with reasoning capabilities. However, the limited resources of embedded and Edge devices significantly constrain the complexity of deep learning models that can be effectively deployed. Traditional approaches rely on cloud-based training and edge-only inference, a paradigm that becomes inadequate when low latency, privacy, security, and high customization are required. In this context, On-device AI is emerging as a new paradigm in which both training and inference are performed directly on the device, avoiding data transfer …

Concerted Proton Transfer In Homogeneous And Heterogeneous Cyclic Hydrogen-Bonded Clusters Of H2o, Hf, And Hcl, Max R. Tucker, Yuan Xue, Nathan R. Speake, Eden Nickolson, Jeremy M. Carr, Gregory S. Tschumper

Chemistry Faculty Research & Creative Works

This work examines various homogeneous and heterogeneous clusters of hydrogen-bonded (HF)x(H₂O)y(HCl)z complexes, where x + y + z = 3 or 4. For each unique cyclic structure associated with the xyz permutations, the geometries of the reactant, product, and transition state (TS) for concerted proton transfer (CPT) were fully optimized using second-order Møller-Plesset perturbation theory (MP2) with a mixed basis set consisting of cc-pVTZ for H atoms and aug-cc-pVTZ for O, Cl, and F atoms (denoted haTZ). Harmonic vibrational frequencies were also computed at the same level of theory to verify the nature of the stationary points. Intrinsic …

Volatile Organic Compound Analysis Of Humboldt Penguin (Spheniscus Humboldti) Preen Oil: A Pilot Study, Dante E. Rojas, Mitchell M. Mccartney, Eva Borras, Michael O. Eze, Abigail Pietrow, Jennifer J. Valvo, Cristina E. Davis

Chemistry Faculty Research & Creative Works

Avian olfaction has gained prominence in recent decades for its roles in social communication and behavior. In penguins, the chemical characterization of preen oil remains limited. In this exploratory study, we characterized the volatile organic compound (VOC) profile of preen oil from Humboldt Penguins (Spheniscus humboldti). Preen oil from 12 captive individuals was analyzed using headspace sorptive extraction (HSSE) coupled to gas chromatography–mass spectrometry (GC–MS). Chemometric analyses examined variation in VOC profiles by sex, age class, and breeding activity. We detected 54 compounds (20 tentatively identified), including linear alcohols, methyl ketones, carboxylic acids, saturated hydrocarbons, oxygenated and nitrogen-containing organics, prenolipids, …

Synthesis Of The Naga(S1−Xsex)2 Solid Solution From Mechanically Activated Precursors, Louisiane Verger, Julien Trébosc, Santhoshkumar Sundaramoorthy, Amitava Choudhury, Olivier Hernandez, Eric Furet, Sébastien Chenu, David Le Coq, Laurent Calvez, Olivier Lafon

Chemistry Faculty Research & Creative Works

NaGaS₂ and NaGaSe₂ are two recently discovered compounds that crystallize in the same structure type. In this work, NaGa(S_1−xSe_x)₂ (x = 0.5, 0.75 and 1) are prepared using an alternative synthesis route, mechanochemistry followed by heat treatment. Na₂S, Na₂Se, Ga₂S₃ and Ga₂Se₃ are milled in stoichiometric proportions. Differential scanning calorimetry, X-ray diffraction and solid-state nuclear magnetic resonance (²³Na and ⁷¹Ga) show that the compounds after milling are composed of crystalline NaGa(S_1−xSe_x)₂ with an amorphous part. …

Soft-Chemical Scalable One-Pot Aqueous-Medium Synthesis Of Na3(Vo)2(Po4)2f-Based Cathodes: Compositional Tuning And Electrochemical Performance In Na- And Li-Ion Batteries, Prashanth Sandineni, Subal Chandra Manna, Sutapa Bhattacharya, Santhoshkumar Sundaramoorthy, Ramesh Deokate, Milad Aghayi-Anaraki, George E. Sterbinsky, Kartik Ghosh, Amitava Choudhury

Chemistry Faculty Research & Creative Works

One of the most important cathode materials for Na-ion batteries, Na₃(VO)₂(PO₄)₂F, and its compositional variants have been synthesized using four different and facile one-step soft chemical routes. The as-synthesized compounds, Na_2.95(VO)₂(PO₄)₂F (I), Na_2.93(VO)₂(PO₄)₂F (II), and Na_2.58(VO)₂(PO₄)₂F (IV), crystallize in the tetragonal crystal system in the P4₂/mnm space group, while Na₃(VO)₂(PO₄)₂F (III) crystallizes in the orthorhombic crystal system in …

Puppet Lab: Investigating Digital Technologies In Creative Learning, Harrison Lorenz-Daniel

Theses : Honours

This study interrogates the impact that digital technologies and digital mediation have on creative learning workshops run by arts organisations and delivered by teaching artists. It responds to a wave of new creative learning initiatives supported by arts organisations, state governments, and schools following the COVID-19 pandemic. Situating the research primarily in the investigation of Puppet Lab, a new digital workshop developed by Spare Parts Puppet Theatre in Walyalup (Fremantle), qualitative data was collected over a series of 5 semi-structured interviews with Western Australian teaching artists. The study found that digital technologies did not meaningfully impact the standard delivery of …

Transforming The Chemistry Classroom: Flipped Learning As A Scaffold For Inquiry, Hannah Alicia Nash

Graduate Research Papers

This action research study examines how the placement of flipped instruction within a 5E instructional model impacts student content understanding and perceptions of learning in a high school Chemistry II course. Research was conducted across three sections during a gas laws unit, with each section experiencing a different instructional approach. These approaches included flipped instruction in the Engage phase, flipped instruction in the Explain phase, or a non-flipped approach in which all parts of the 5E occurred in class. Pre and post tests were used to measure student understanding, while surveys and reflections were used to gather student perceptions of …

Integrating Literacy Into A High School Climate Change Unit, Bailey Bushman

Graduate Research Papers

The ability to read is an important skill for members of society. Teaching students to read is often left up to elementary teachers and then secondary English teachers are expected to expand on those skills, but other content areas can help teach the needed literacy skills to students. In addition to typical literacy skills like reading and writing, students need to be able to understand climate science in order to make responsible decisions about the Earth’s future.

One way to ensure that students are getting both literacy skills and disciplinary content would be for science teachers to include a variety …

The Effectiveness Of Employing Artificial Intelligence Applications In Developing Technological Creativity For Students Of The Higher Basic Stage In Palestine, Mahmoud Mohammed Fouad Barghout, Ahmed Mohammed Abu Olba

Journal of Educational and Psychological Studies

The research aimed to discover the effectiveness of implementing artificial intelligence applications in developing technological creativity for students of the higher basic stage in Palestine, the researchers used the Quasi-experimental design, and the researchers programmed and designed artificial intelligence applications for the unit (remote sensing and control) from the technology book for the eighth grade. The researchers prepared the research tool (technological creativity test). It was applied to the research sample, which consisted of eighth grade students at Saad bin Abi Waqas Basic School (B), affiliated to the Palestinian Ministry of Education and Higher Education, where their number reached (72) …

Against Ai Half Measures, Woodrow Hartzog, Neil Richards, Ryan Durrie, Jordan Francis

Faculty Scholarship

So far, U.S. consumer protection policy for artificial intelligence (AI) accountability has largely consisted of industry-led approaches such as encouraging transparency, mitigating bias, promoting principles of ethics, and empowering people. These approaches are vital, but they are only half measures. To bring AI within the rule of law, lawmakers must start drawing substantive lines.

In this Article, we identify four AI regulatory approaches to consumer, data, and democratic harms as half measures. First, transparency does not produce accountability on its own. Second, while mitigating bias in AI systems is critical, even unbiased systems are a threat to the vulnerable. Third, …

Understanding Motivations And Health Outcomes Of College-Aged Triathletes During Covid-19: A Mixed-Methods Study, Patrick Wilson, Eddie Hill, Justin Haegele, Xihe Zhu

Human Movement Studies & Special Education Faculty Publications

A triathlon is a multi-sport event that consists of three simultaneous events: swimming, biking, and running. This sport has experienced significant growth in the past few decades, with colleges and universities now participating. This exploratory mixed-methods study examined the motivations and perceived health benefits of college triathletes during the COVID-19 pandemic, using the Means-Ends of Recreation Scale and the Perceived Health Outcomes of Recreation Scale (N = 29), as well as semi-structured interviews (N = 4). Results indicate no difference in motives or health outcomes between male and female survey respondents. The thematic analysis of open-ended interview questions highlighted lived …

Integrating Self-Determination Theory And Continuous Glucose Monitoring: Promoting Youth Development Among Campers With Type 1 Diabetes, Eddie Hill, Bethany Arrington, Taylor Harvey, Alexis Barmoh, Rowan Williams, Laura Hill

Human Movement Studies & Special Education Faculty Publications

The purpose of this cohort study was to evaluate participants’ general self-management and experiences of autonomy while attending diabetes camp using quantitative and qualitative data collection. Through a partnership, an outdoor diabetes camp was designed to assist youth with type 1 diabetes (T1D) in their management. The REACH Teen program conducted a week-long summer camp for youth with T1D. The study was designed through Outcome-Focused Programming grounded in Self-Determination Theory (SDT) to meet campers’ needs of autonomy, competence, and relatedness. Campers participated in outdoor activities and diabetes education designed to increase healthy behaviors. Twenty-three campers completed a 24-item pre- and …

Development Of Virtual Reality Learning Environments In Science To Engage Secondary Students In Hazardous Activities, Luke Spartalis

Theses: Doctorates and Masters

This research examines the need for change in including hazardous activities in education. As different learning technologies develop, platforms that retain authentic outcomes via virtual reality are needed. The main objective of this research is to examine the inclusion of Virtual Reality Learning Environments (VRLEs) to determine their value in areas that include hazardous conditions. The research considered the ways that VR tools could be optimised to support these activities, as well as considering the challenges of VRLE implementation. The study examined whether VRLE’s allowed for authentic experiences to sufficiently drive an acceptance of VR to complement existing teaching and …

Study Of Fire Regimes In Southwestern Australia Using Geospatial Techniques, Ana Do Carmo Carvalho

Theses: Doctorates and Masters

The Northern Jarrah Forest in Southwestern Australia (SWA), part of a global biodiversity hotspot, is home to fire-sensitive tree species such as marri (Corymbia calophylla) and jarrah (Eucalyptus marginata). As climate change intensifies drought and extreme fire events, understanding the drivers of fire severity is increasingly critical. This thesis analyses fire regimes within the Mundaring drinking water catchment to better understand the spatiotemporal complexity of fire severity in relation to fire history and environmental factors.

The thesis commences with a review of three Fire History Databases (FHDs) used in SWA, highlighting significant inconsistencies and data gaps across time and space. …

An Investigation Into The Mechanisms, Barriers, Degree And Sphere Of Risk Influence In Corporate Security, Nicola Lockhart

Theses: Doctorates and Masters

This study investigates the sphere of corporate security risk influence within organisations, addressing the conceptual and practical ambiguity surrounding the activity’s capacity to shape organisational decisions, behaviours, and risk priorities. While corporate security’s protective role is widely recognised, its broader organisational risk influence remains under-theorised. The study defines the sphere of risk influence as the range of organisational stakeholders and environments with which the corporate security activity interacts, and within which it may engage, persuade, and mobilise action. This sphere is analytically constituted through the intersection of three dimensions: the mechanisms through which influence is attempted, the barriers that constrain …

Understanding Climate Change And Wellbeing Through Bhutan's Pursuit Of Gross National Happiness, Tashi Dorji

Theses: Doctorates and Masters

Climate change has evolved into one of the biggest global challenges of the twenty first century reshaping ecological systems and social conditions with wide-ranging implications for human wellbeing. Bhutan offers a distinct context to explore interactions between climate change and wellbeing as it remains guided by its wellbeing-centred development philosophy of Gross National Happiness (GNH). At the same time, it remains highly vulnerable to climate change despite being the only carbon negative country in the world. Nonetheless, the intersections between climate change and GNH have not been systematically explored.

This research aims to explore the relationship between climate change and …

Development Of A Risk Scoring System For Predicting Post-Extraction Medication-Related Osteonecrosis Of Jaws: A Derivation And Validation Cohort Study, Ling-Ying Wei, Ching-Ming Chiu, Sang-Heng Kok, Hung-Ying Lin, Wei-Yih Chiu, Hao-Hong Chang, Shih-Jung Cheng, Jang-Jaer Lee

Journal of Dental Sciences

Background/purpose: Although risk factors for medication-related osteonecrosis of the jaw (MRONJ) are known, clinical assessment prior to dental extraction remains largely subjective. We aimed to develop and externally validate a simple clinical risk scoring system to predict post-extraction MRONJ in osteoporotic patients receiving antiresorptive therapy (ART) and support evidence-based clinical decision-making.

Materials and methods: This retrospective cohort study used a derivation cohort (N = 1,067 extractions, 2003‒2022) to develop a 5- to 16-point risk score system based on five predictors (age ≥ 75, ART duration ≥ 24 months, bisphosphonate use, drug interruption < 3 months, and extraction site). The model was validated in an independent cohort (N = 928 extractions, 2022–2024) using a pre-defined ≥12 cut-off. Performance metrics included the area under the curve (AUC), sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV).

Results: MRONJ prevalence was lower in the validation …

Factors Influencing Dental Career Decision-Making Among High-Achieving Students In Taiwan, Chien-Hong Yu, Mei-Huei Li, Feng-Chou Cheng, Chun-Pin Chiang

Journal of Dental Sciences

No abstract provided.

Accuracy Of Full-Arch Implant Scans Using Different Horizontal Scan Bodies In An Angulated Model: An In Vitro Study, Tsung-Yu Lin, Tong-Mei Wang, Li-Deh Lin

Journal of Dental Sciences

Background/purpose: Various newly developed horizontal implant scan bodies have been introduced to enhance full-arch scan accuracy. However, their performance in angulated implant scenarios remains unclear. The purpose of this study was to evaluate the accuracy of four specific horizontal scan body systems.

Materials and methods: A stone cast containing six implant abutment analogs served as the master model. Four horizontal scan body systems (ArcB GeoMEDI, Apollo Smartflag, Scan Ladder, and ioConnect) were evaluated. Ten scans were performed per group using an intraoral scanner (Medit i900c). The mean surface deviation, root mean square (RMS) values against the reference files, and the …

Osteoblastogenesis Stimulation By Human Umbilical Cord Stem Cell Secretome During Maxillary Expansion, Alexander Patera Nugraha, Guang Hong, Firdaus Hariri, I Gusti Aju Wahju Ardani, Adya Pramusita, Nurul Aisyah Rizky Putranti, Nindya Rizky Anjani Marhendra, Naora Dewi Rahma Fadzila, Ananda Firman Putranto, Muhammad Luthfi, Wibi Riawan, Putri Cahaya Situmorang, Rony Abdi Syahputra, Thantrira Porntaveetus, Khairul Anuar Shariff, Nissia Ananda, Maudina Dwi Heriasti, Kotaro Tanimoto

Journal of Dental Sciences

Background/purpose: Maxillary expansion induced by mechanical force (MEMF) is a standard orthodontic approach for correcting transverse maxillary deficiency. The human umbilical cord mesenchymal stem cell secretome (HUCMSC-S) has the potential to stimulate accelerate bone remodeling. This study aimed to evaluate local HUCMSC-S application effect during MEMF on the expression bone morphogenetic protein (BMP)-2, BMP-4, BMP-7, vascular endothelial growth factor (VEGF), insulin-like growth factor-1 (IGF-1), transforming growth factor-beta (TGF-β), and fibroblast growth factor-2 (FGF-2) in a Wistar rat (Rattus norvegicus).

Materials and methods: Twenty-four healthy male Wistar rats (R. norvegicus) were randomly divided into four groups: …

Sesamin Suppresses High Glucose-Induced Cyclooxygenase-2 And Prostaglandin E2 Production Through Toll-Like Receptor 2-Dependent Oxidative Stress In Human Gingival Fibroblasts, Ya-Lun Li, Yu-Chia Hsu, Fang-Yu Fan, Yung-Li Wang, Yang-Che Wu, Sin-Yu Li, Thi Thuy Tien Vo, Yu-Chia Chang, Yin-Tzer Shih, I-Ta Lee

Journal of Dental Sciences

Background/purpose: Hyperglycemia contributes to periodontal inflammation through oxidative stress and inflammatory mediator production in gingival fibroblasts. Sesamin, a major lignan from sesame, has antioxidant and anti-inflammatory properties. This study investigated whether sesamin attenuates high glucose (HG)-induced cyclooxygenase-2 (COX-2) expression and prostaglandin E₂ (PGE₂) production in human gingival fibroblasts (HGFs), and examined the involvement of Toll-like receptor 2 (TLR2)-dependent oxidative signaling.

Materials and methods: HGFs were exposed to HG in the presence or absence of sesamin. Cell viability, reactive oxygen species (ROS) generation, nicotinamide adenine dinucleotide phosphate (NADPH) oxidase activity, COX-2 expression, and PGE₂ production were evaluated. …

Exploring Exhibited Works On Dentistry-Related Topics At The Student Science Fair Projects In Taiwan From 1970 To 2025, Mei-Huei Li, Feng-Chou Cheng, Kun-Ming Lien, Chun-Pin Chiang

Journal of Dental Sciences

No abstract provided.