Digital Commons Network^™

Social Threat, Negative Beliefs, And Altered Social Learning Underpin Paranoia In Adolescents, Jessica L. Kingston, Ellett, Linda Richards, Henry Burgess, Joseph M. Barnby

Research outputs 2022 to 2026

Adolescent social adversity (discrimination, bullying) enhances paranoia—the perception others want to harm or upset you. In this preregistered study (AsPredicted No. 154322), we tested the impact of prior social adversity and current social exclusion on paranoia, self/other beliefs, and latent social-learning processes in UK mid-adolescents (15-17 years, N = 502). In an experimental design, participants completed baseline social-adversity measures before random allocation to a social inclusion/exclusion manipulation (Cyberball), after which the Intentions Game assessed cognitive flexibility. We tested (a) whether adversity and exclusion interact to increase paranoia (b) via (mediated) negative self/other beliefs and (c) if this was moderated by …

Advancing Sustainable Tourism Behavioural Research: A Metacognitive Perspective, Arghavan Hadinejad, Kourosh Esfandiar, Liubov Skavronskaya

Research outputs 2022 to 2026

The current scholarly inquiry on sustainable tourism behaviour research predominantly relies on cognitive behavioural approaches, particularly exemplified by the widespread application of the theory of planned behaviour among other theories. Given recent advancements in psychology underscoring the necessity to expand beyond conventional cognitive frameworks, the current research aims to integrate metacognitive perspectives in sustainable tourism behaviour scholarship. This perspective explores the reflective awareness and control individuals exert over their cognitive processes which can uncover nuanced factors shaping sustainable tourism behaviour that may be overlooked in traditional cognitive models. Using a critical review approach, this research proposes the adoption of alternative …

Reflections On Linear B, (Part 15): Sign 81 In Linear A And The Egyptian Four-Headed Ram God, Gerald Leonard Cohen

Arts, Languages and Philosophy Faculty Research & Creative Works

This article makes several tentative suggestions, including:

1. Linear A sign 81 (antecedent of Linear B81) may be an abbreviated image (two heads) of the four-headed Egyptian ram god Banebdjedet, with the horizontal line designating his horns shifted downward to the middle of the character.

2. A few other Linear A characters (e.g., sign 305) may represent slight alterations of sign A81.

3. Linear A82 includes two sets of three short horizontal lines. Those might signify brightness, and in the case of Banebdjedet the brightness would be his wisdom.

Lindenwood University Employment Policies, 2026-2027, Lindenwood University

Employee Handbooks

In 2021-2022, Lindenwood University made the Employee Guidebook, online only. This is a compilation of the documents from all of the links in the 2026-2027 Employee Policies site.

Drafting Policy To Address Academic Integrity: The Other Ai In Education, Elizabeth Burns

STEMPS Faculty Publications

The article focuses on the role of school librarians in drafting policies to address academic integrity amid the increasing use of artificial intelligence (AI) in K-12 education. It defines AI, including generative AI (GenAI), and discusses both the challenges and opportunities AI presents for teaching and learning, emphasizing the need for clear guidelines on ethical use. The article outlines three common AI policy models—permissive, hybrid, and restrictive—and stresses the importance of collaboration between librarians and teachers to establish consistent expectations, promote critical thinking, and ensure proper attribution of AI-generated content. School librarians are positioned as key facilitators in guiding students …

Biomarkers Of Foraging And Reproduction In Captive Adult Female Hawksbill Sea Turtles (Eretmochelys Imbricata), Joslyn Blessing Kent, Kari Renee Dawson, Shingo Fukada, Masae Makabe, Isao Kawazu, Ken Maeda, Roldán A. Valverde

School of Earth, Environmental, & Marine Sciences Faculty Publications

Hawksbill sea turtles (Eretmochelys imbricata) are listed as critically endangered by the International Union for the Conservation of Nature (IUCN). To implement best conservation practices for this species, its biology should be well understood. Attempting to characterize the foraging physiology of free-ranging hawksbill sea turtles is complicated by the fact that sampling is typically limited to nesting females during the reproductive season. Without data from non-reproductive periods, it is difficult to determine whether observed physiological values reflect baseline conditions or are specific to the energetically demanding nesting season. Accordingly, in this study, we described the physiology of foraging in …

An Educational Intervention On Mutual Goal Setting For Hospital Nurses: A Mixed-Methods Study, Teresa Jerofke-Owen, Kristi Opper, Joseph Beiler, Maharaj Singh

College of Nursing Faculty Research and Publications

Background:

Including patients in mutual goal setting is one mechanism to personalize care delivery and improve patient outcomes.

Objective:

The purpose of this study was to examine the impact of a nurse educational intervention about mutual goal setting on nurse engagement and self-efficacy for goal setting and the nurse/patient experience of goal setting.

Methods:

During this explanatory, sequential mixed-methods study, nurse engagement in goal setting and goal quality was assessed through chart audits 1-month pre-intervention (n = 173) and 1 and 3-months (n = 144, n = 137) post-intervention. Nurse self-efficacy was measured with the Appraisal Inventory Tool. Patient experience …

Identifying The Best Cutoff Value Of The Fecal Occult Blood Immunochemical Test In The Detection Of Advanced And Neoplastic Colorectal Lesions [Identificación Del Mejor Punto De Corte De La Prueba Inmunoquímica De Sangre Oculta En Heces En La Detección De Lesiones Colorrectales Avanzadas Y Neoplásicas], Patricia Gaggero, Eduardo Fenocchi, Cecilia Silva, Juan C. Lopez-Alvarenga, Natalia Lambert, Fabian Batista, Sergio Sobrino-Cossio, Jonathan R. White, Adolfo Parra-Blanco

School of Medicine Publications

Objective: Screening is an effective tool for detecting colorectal lesions in asymptomatic subjects. There is a positive correlation between fecal immunochemical test (FIT) values and the size of tumors. Despite the efficacy of screening, the detection of colorectal cancer (CRC) remains low. The primary objective was to evaluate the best FIT cutoff value for detecting advanced adenomas and CRC among individuals at average risk in a country with a high incidence and morbidity from CRC.

Methods: This observational and prospective study analyzed consecutive cases in 1461 asymptomatic subjects with a positive FIT (≥ 100 ng hemoglobin [Hb]/ mL) referred for …

Missionary Body Politics: Physical Education In West China, 1905-1950, Cory Willmott

Asia Pacific Perspectives

Republican Era China saw a radical transformation in Chinese physical culture as it aimed to compete in the global geopolitics of nation-states. Employing an historical ethnographic approach, this paper outlines how the unique conditions of Sichuanese warlordism and secret societies affected missionary relations with the Guomindang (GMD) as they implemented increasingly militarized physical education programs. Before the 1928 GMD consolidation of power, missionaries and GMD educators aligned with the YM/ WCA in physical education programs. After the GMD moved their headquarters to Chongqing in 1938, relations soured between the GMD and the Sichuan missionaries. Although the latter had been the …

Vitamin D Status During Pregnancy Modulates The Effect Of Pre-Pregnancy Obesity On Gestational Diabetes Mellitus Risk: A Birth Cohort Study, Ali H. Ziyab, Abdullah Al-Taiar, Reem Al-Sabah, Majeda S. Hammoud, Saeed Akhtar

Epidemiology, Biostatistics, & Environmental Health Faculty Publications

Objective:

To determine whether gestational vitamin D status modulates the effect of pre-pregnancy obesity on gestational diabetes mellitus (GDM) risk while stratifying by maternal age.

Design:

Birth cohort.

Setting:

A major maternity hospital in Kuwait.

Participants:

Pregnant women in their second/third trimester of gestation were enrolled. Pre-pregnancy body mass index (BMI, kg/m²) was categorized as under/normal weight (< 25.0), overweight (25.0 to < 30.0), and obesity (≥30.0). Gestational 25-hydroxyvitamin D concentrations were categorized as deficiency (< 50 nmol/L) or insufficiency/sufficiency (≥50 nmol/L). GDM status was ascertained according to international guidelines. Adjusted odds ratios (aOR) and 95% confidence intervals (CI) were estimated using logistic regression.

Results:

Data from 957 pregnant women were analyzed, with GDM affecting 166 (17.4%) pregnancies. Pre-pregnancy obesity and gestational vitamin D deficiency was ascertained in 275 (28.7%) and 533 (55.7%) pregnant women, respectively. The association between pre-pregnancy obesity and GDM risk differed according …

The Crucial Role Of Machine Learning Models In Predicting Current Childhood Asthma: Model Comparison, Calibration, And Shap-Based Interpretation, Aditya Chakraborty, A. K.M. Raquibul Bashar

Epidemiology, Biostatistics, & Environmental Health Faculty Publications

Background: Asthma is one of the most prominent chronic diseases in children and one of the most challenging ailments to diagnose in infants and preschoolers in the United States. Predictive models can be instrumental in improving early diagnosis, personalized treatment strategies, and disease progression. By utilizing nationalized data, this study focuses on building and comparing high-performing analytical predictive models based on the relevant risk factors and identifying the most influential predictors.

Methods: We analyzed cross-sectional BRFSS Asthma Call-Back Survey data (2011-2020; N = 9,813) and randomly split participants into training and testing sets. An XGBoost model (hyperparameters tuned via grid …

Breaking The Resistance: A Narrative Review Of The Evolution From Traditional Drugs To Precision Therapies In Epilepsy, Tirath Patel, Fathimathul Henna, Ashfaq Ahmed, Ayesha Ahmad, Noor Ul Huda, Syed Aaraiz Ul Hassan, Aiman Muhammad, Amna Javed, Maryem Filal, Nikhilesh Anand

School of Medicine Publications

Background: Epilepsy is a chronic neurological disorder characterized by recurrent seizures, affecting approximately 50 million individuals globally. While conventional antiseizure medications (ASMs) control seizures in 70-80% of patients, about 30% experience drug resistance or intolerable side effects, necessitating alternative approaches.

Objective: To critically compare the efficacy, safety, and accessibility of conventional and emerging therapies for epilepsy, particularly in the context of treatment-resistant cases and global disparities in care.

Methods: This narrative review synthesized evidence from 120 peer-reviewed articles published between 2015 and 2025. Literature was retrieved from PubMed, Embase, Cochrane Library, and Scopus using predefined search terms related to epilepsy …

Streamlining Literacy Assessment, Sheila Mulder, Katie Anderson, Samuel W. Flint

Annual Research Symposium

Reading proficiency scores are low throughout the nation. Reading proficiency is a foundational skill that supports academic success across all content areas. Skilled reading involves multiple interrelated components. Assessment can support teachers to identify skill deficits and inform instruction; however, rural teachers lack the time, resources, and specialized support to translate the data into effective instruction and interventions. To better contextualize this need, we received 59 surveys from South Dakota teachers with 23 of the surveys being valid responses, finding that teachers feel prepared to teach reading and struggling readers. Teachers reported that they spend relatively little time in assessment, …

Secure-Home: Detect And Redact Pii, Hajar Niroomand, Omar F. El-Gayar

Annual Research Symposium

Personally Identifiable Information (PII) leakage from home environments poses significant identity theft risks. While enterprise networks employ robust security measures, firewalls, intrusion detection systems, and access controls, these protections rarely extend to home settings, creating a critical security gap. Current firewall technologies lack the capability to detect and scrub PII from outbound traffic, leaving vulnerable populations such as children, elderly users, and remote workers exposed. This design science research proposes Secure-Home, a prototype outbound inspection tool that detects and redacts clear-text PII before data leaves home networks. Using rule-based detection and selective redaction, Secure-Home provides a practical last line of …

Pahina: Precision-Aware Hierarchical In-Network Aggregation For Edge Distributed Training, Yingpu Nian, Bo Yi, Qiang He, Xingwei Wang, Geyong Min, Keqin Li, Sajal K. Das

Computer Science Faculty Research & Creative Works

The rise of edge intelligence is driving distributed machine learning toward a new paradigm of edge-collaborative computing. To overcome the severe communication bottleneck in this paradigm, In-Network Aggregation is a critical enabling technology. However, its effectiveness is fundamentally undermined by the profound resource heterogeneity of edge networks. Specifically, edge devices, adapting to hardware constraints, operate at varying numerical precisions, leading to significant data inflation as gradients are aggregated. Compounding this, unevenly distributed network resources and traditional, precision-oblivious routing strategies often misallocate critical, high-precision gradients to low-quality paths. This mismatch creates severe network congestion, crippling the efficiency of distributed training. To …

Fairrfl: Fair And Robust Federated Learning In The Presence Of Selfish Clients, Andrea Augello, Ashish Gupta, Giuseppe Lo Re, Sajal K. Das

Computer Science Faculty Research & Creative Works

Federated Learning (FL) is a paradigm that enables collaborative machine learning without disclosing the local data of the participants. However, in real-world FL deployment scenarios, some unscrupolous clients may alter the training process to skew the global model towards their local optimum, unfairly prioritizing their data distribution. Their influence can degrade overall model performance for normal clients and reduce fairness in the system. We call this novel category of misbehaving clients 'selfish'. This work proposes a Fair and Robust strategy for aggregation in the Federated Learning (FL) server to mitigate the effect of Selfish clients (FairRFL). FairRFL incorporates a novel …

Future Mining: Learning For Safety And Security, Md Sazedur Rahman, Mizanur Rahman Jewel, Sanjay Madria

Computer Science Faculty Research & Creative Works

Mining industry is rapidly transforming into an AI-driven cyber-physical ecosystem where safety and operational reliability depend on robust perception, resilient communication, trustworthy distributed intelligence and continuous monitoring of miners and equipment. Real-world mining environments impose severe constraints like poor illumination, dust, occlusion, GPS-denied conditions, irregular underground topologies, and intermittent connectivity. These factors degrade perception quality, disrupt situational awareness, impair trajectory prediction and weaken the reliability of distributed learning systems. Emerging cyber-physical threats, including backdoor triggers, sensor spoofing, label-flip attacks and poisoned model updates, further jeopardize operational safety, particularly as mines increasingly adopt autonomous vehicles, humanoid assistance, and federated learning for …

Feddot: Defending Federated Learning Against Overwhelming Targeted Attacks, Priyesh Ranjan, Ashish Gupta, Federico Coro, Sajal K. Das

Computer Science Faculty Research & Creative Works

Federated Learning (FL), which facilitates collaborative model training and protects users' privacy, has drawn great interest from the research community. With FL, participants train their models on local data and submit the corresponding updates for aggregation to a server. While concealing the identities of the participants, FL may attract adversaries in order to hamper the underlying model. In this paper, we propose an FL framework, FedDOT, to defend against adversaries performing targeted attacks. FedDOT incorporates two powerful defense algorithms, Maximum Spanning Tree based attacker detection (MSTAD) and Densest graph-based attacker detection (Density-AD), which leverage correlation between weight updates and graph …

You Only Need One Stage: Novel-View Synthesis From A Single Blind Face Image, Taoyue Wang, Xiang Zhang, Xiaotian Li, Huiyuan Yang, Lijun Yin

Computer Science Faculty Research & Creative Works

We propose a novel one-stage method, NVB-Face, for generating consistent Novel-View images directly from a single Blind Face image. Existing approaches to novel-view synthesis for objects or faces typically require a high-resolution RGB image as input. When dealing with degraded images, the conventional pipeline follows a two-stage process: first restoring the image to high resolution, then synthesizing novel views from the restored result. However, this approach is highly dependent on the quality of the restored image, often leading to inaccuracies and inconsistencies in the final output. To address this limitation, we extract single-view features directly from the blind face image …

Dcmm-Transformer: Degree-Corrected Mixed-Membership Attention For Medical Imaging, Huimin Cheng, Xiaowei Yu, Shushan Wu, Luyang Fang, Chao Cao, Jing Zhang, Tianming Liu, Dajiang Zhu, Wenxuan Zhong, Ping Ma

Computer Science Faculty Research & Creative Works

Medical images exhibit latent anatomical groupings, such as organs, tissues, and pathological regions, that standard Vision Transformers (ViTs) fail to exploit. While recent work like SBM-Transformer attempts to incorporate such structures through stochastic binary masking, they suffer from non-differentiability, training instability, and the inability to model complex community structure. We present DCMM-Transformer, a novel ViT architecture for medical image analysis that incorporates a Degree-Corrected Mixed-Membership (DCMM) model as an additive bias in self-attention. Unlike prior approaches that rely on multiplicative masking and binary sampling, our method introduces community structure and degree heterogeneity in a fully differentiable and interpretable manner. Comprehensive …

Utility-Preserving Federated Graph Learning With Dual-Perspective Fairness, Renqiang Luo, Huafei Huang, Shuo Yu, Fengqi Yu, Feng Xia, Sajal K. Das, Chengqi Zhang

Computer Science Faculty Research & Creative Works

Fairness-aware federated graph neural networks (FedGNNs) necessitate consideration of both the server and the clients. However, fairness-aware methods struggle to enhance dual-perspective (i.e., server and clients) fairness without sacrificing utility due to the distributed learning framework. As a consequence, the utility sacrifices of fairness-aware graph learning methods are even exacerbated in federated frameworks. In this work we propose F3GL, a dual-perspective fairness federated graph learning method that enhances both global (for the server) and local fairness (for clients) while preserving utility. Through theoretical analysis, we delineate the similarity between original sensitive features and those after convolution under different spectra. Our …

Explaining The Unseen: Multimodal Vision-Language Reasoning For Situational Awareness In Underground Mining Disasters, Mizanur Rahman Jewel, Mohamed Elmahallawy, Sanjay Kumar Madria, Samuel Frimpong

Computer Science Faculty Research & Creative Works

Underground mining disasters produce pervasive darkness, dust, and collapses that obscure vision and make situational awareness difficult for humans and conventional systems. To address this, we propose MDSE, Multimodal Disaster Situation Explainer, a novel vision-language framework that automatically generates detailed textual explanations of post-disaster underground scenes. MDSE has three-fold innovations: (i) Context-Aware Cross-Attention for robust alignment of visual and textual features even under severe degradation; (ii) Segmentation-aware dual pathway visual encoding that fuses global and region-specific embeddings; and (iii) Resource-Efficient Transformer-Based Language Model for expressive caption generation with minimal compute cost. To support this task, we present the Underground Mine …

Aim5b: Ai Integrated Semantic Framework For 5g And Beyond Network Management, Thanveer Sulthana, Ava Sharif Jourabchi, Venkat Rao Manavarthi, Jayadithya Nalajala, Ankitha Srirama Reddy, Baek Young Choi, Sejun Song

Computer Science Faculty Research & Creative Works

Scalable, interpretable, and intelligent network monitoring and management are critical for 5 G and future networks. This paper introduces Aim5B, an AI-integrated semantic framework for 5 G and beyond network management to address these challenges. Aim5B processes unstructured logs from key 5G core network functions, and transforms them into a knowledge graph aligned with the semantic structure of control-plane events. Leveraging a large language model (LLM), Aim5B enables natural language queries to be translated into Cypher graph queries, facilitating precise log retrieval, event analysis, temporal correlation, and statistical summarization-without relying on static parsing rules or predefined dashboards. Integrated on a …

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 …

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 …

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 …

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 …

An Artificial Intelligence Assisted Framework For Automated Quantified Root Canal Curvature Measurement On Periapical Radiographs, Ming-Yi Chen, Shih-Lun Chen, Yu-Jen Chang, Yuan-Jin Lin, Chiung-An Chen, Tsung-Yi Chen, Kuo-Chen Li, Wei-Chen Tu, Patricia Angela R. Abu

Journal of Dental Sciences

Background/purpose: Root canal curvature is a complex anatomical variation that complicates endodontic treatments. Traditionally, dentists rely on two-dimensional periapical radiographs (PA) and manual methods to estimate curvature angles. However, this conventional approach is highly time-consuming and subjective, often leading to inconsistent measurements.

Materials and methods: This study aims to develop a fully automated, objective framework for precise angular measurement and severity grading of root canal curvature. The YOLO26n-seg model was employed to segment roots and classify single- or multi-rooted teeth from PA. Furthermore, we proposed an image processing algorithm that standardized orientation, extracted centerlines, and applied three-point circle fitting …

Submicron Diamond-Assisted Irrigation Enhances Apical Biofilm Removal Under Sonic And Ultrasonic Activation: An Ex Vivo Study, Yung-Szu Hsu, Nai-Chia Teng, Sin-Yu Chen, Huan-Cheng Chang, Haw-Ming Huang, Sung-Chih Hsieh

Journal of Dental Sciences

Background/purpose:

Residual apical biofilm often persists despite sodium hypochlorite (NaOCl) irrigation with sonic or ultrasonic activation. Submicron diamond particles (SMD) have shown promise as a particle-assisted adjunct for root canal cleaning, but their effects on mature intracanal biofilm remain unclear. This study evaluated whether 500-nm SMD particles (10 mg/mL) improve the antibacterial and antibiofilm efficacy of saline or NaOCl irrigation against mature Enterococcus faecalis (E. faecalis) biofilms.

Materials and methods:

One hundred single-rooted human premolars infected with E. faecalis for 21 days were randomly allocated to ten irrigation protocols (n = 10). Antibacterial efficacy was assessed by …

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 …