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Articles 27841 - 27870 of 28066
Full-Text Articles in Entire DC Network
From Chevron To Chaos: How Loper Is Redefining The Future Of Health Privacy, Skylar Johnson
From Chevron To Chaos: How Loper Is Redefining The Future Of Health Privacy, Skylar Johnson
Oklahoma Law Review
No abstract provided.
The Best Of Both Worlds: How Artificial Intelligence Can Balance Precision And Flexibility In Article 9 Search Logic, Lindsay Martin Mayes
The Best Of Both Worlds: How Artificial Intelligence Can Balance Precision And Flexibility In Article 9 Search Logic, Lindsay Martin Mayes
Oklahoma Law Review
No abstract provided.
Anti-Slapp Confusion: Should Federal Courts Permit Interlocutory Appeal For Anti-Slapp Motions?, Mitchell L. Grantham
Anti-Slapp Confusion: Should Federal Courts Permit Interlocutory Appeal For Anti-Slapp Motions?, Mitchell L. Grantham
Oklahoma Law Review
No abstract provided.
Abortion And State Taxes: Unexpected Parallelism, Eric Smith
Abortion And State Taxes: Unexpected Parallelism, Eric Smith
Oklahoma Law Review
No abstract provided.
The Gender Gap In Writing: Gender Profiles For Paper- And Computer-Based Writing In Early Education, Anabela Malpique, Deborah Pino-Pasternak, Mustafa Asil
The Gender Gap In Writing: Gender Profiles For Paper- And Computer-Based Writing In Early Education, Anabela Malpique, Deborah Pino-Pasternak, Mustafa Asil
Research outputs 2022 to 2026
Research Findings: The gender gap in writing has received strong interest from literacy education and research, based on recurrent reports of gender differences in writing typically favoring female students. In this study, we investigated gender differences on paper- and computer-based text composing performance among early primary children (N = 544 Grade 2 students). Multilevel analyses revealed significant differences between boys and girls in both compositional quality and productivity across writing modalities. Specifically, boys consistently exhibited lower scores in both compositional quality and productivity compared to girls. Gender differences were notably influenced by various student-level factors such as handwriting automaticity, spelling …
Synthesis And Characterization Of The New G3 Family Of Organoantimony(V) Cyanoximates, Thao Trang Phan
Synthesis And Characterization Of The New G3 Family Of Organoantimony(V) Cyanoximates, Thao Trang Phan
Graduate Theses/Dissertations
Bacterial infections pose a serious threat to humans by developing resistance, rendering antibiotics ineffective. Of the 12 antibiotics recently approved since 2017, 10 belong to an already existing class. Various resistance mechanisms, such as reduced drug uptake, active efflux, drug inactivation, and target modification, can significantly reduce the efficacy of entire classes of antibiotics. Discovering novel strategies to overcome diverse mechanisms of resistance and improve therapeutic efficacy is in high demand. Inorganic compounds with organic ligands (both complexes and organometallics) represent a new class of compounds against which antimicrobial resistance has not yet been established. Recently, we discovered two series …
Psag: Projection-Based Stabilized Attribution Guidance For Online Continual Learning, Hang Yu, Kun Hu, Zhuqiang Lu, Steven Qiang Lu, Zhiyong Wang, Fengxiang He
Psag: Projection-Based Stabilized Attribution Guidance For Online Continual Learning, Hang Yu, Kun Hu, Zhuqiang Lu, Steven Qiang Lu, Zhiyong Wang, Fengxiang He
Research outputs 2022 to 2026
Online Continual Learning (OCL) aims to incrementally learn from non-stationary data streams in a one-pass setting, facing the dual challenges of catastrophic forgetting and insufficient training. These challenges intensify the stability-plasticity dilemma, where pre-serving old knowledge conflicts with acquiring new information. In this paper, we propose Projection-based Stabilized Attribution Guidance (PSAG), a modular framework that leverages gradient-based attributions as active guidance signals to selectively preserve task-relevant representations. Our framework consists of three complementary mechanisms: (1) Attribution-Guided Feature Modulation (AGFM) that anchors critical features in the representation space; (2) Importance-Aware Loss Reweighting (IALR) that prioritizes informative samples at the loss level; …
Relationship Between Turnover, And Resilience Among Critical Care Nurses In Oman. An Implication For Nursing Practice., Mohammed Qutishat
Relationship Between Turnover, And Resilience Among Critical Care Nurses In Oman. An Implication For Nursing Practice., Mohammed Qutishat
Health Professions Education
Background: Critical care nurses face numerous challenges, including increased anxiety, depression, and traumatic incidents. Workplace stress can lead to Burnout and turnover, with a significant percentage of global hospital nurses planning to leave within a year. Resilience and positive attitudes towards mental health are crucial for nurses, as they serve as societal leaders. In Oman, many nurses plan to leave their current jobs within a year, highlighting the need for healthcare organizations to create measures to avoid stressors and foster worker well-being.
Aim: To examine the relationship between turnover and resilience among critical care nurses in Oman.
Method: This study …
Tracing The Evolution Of Signature Technologies In Health Professions Education: Developments, Challenges, And Possibilities, Jacob Kelley, Kimberly B. Garza, Kelley Noll, Allison Chung
Tracing The Evolution Of Signature Technologies In Health Professions Education: Developments, Challenges, And Possibilities, Jacob Kelley, Kimberly B. Garza, Kelley Noll, Allison Chung
Health Professions Education
Purpose. This integrative literature review traces the evolution of signature technologies in health professions education and their impact on teaching and learning. By exploring these technologies, it highlights the ways these advancements shape learning experiences and the preparation of future healthcare professionals. While these technologies present opportunities for enhanced learning, they also introduce challenges related to accessibility, cost, and effectiveness.
Method. Using Torraco’s framework for integrative literature reviews, this article synthesizes existing scholarship to trace the historical development of signature technologies in health professions education. The authors conducted searches in PubMed, Scopus, and Google Scholar for literature published primarily between …
Peer Assisted Mentoring As A Catalyst For Academic Success In Final-Year Dental Students: An Action Research Approach, Manovijay Balagangadharan, Babyjohn John, Saranyan Ravi, Sabitha Gokulraj, D.N. Shrienitha
Peer Assisted Mentoring As A Catalyst For Academic Success In Final-Year Dental Students: An Action Research Approach, Manovijay Balagangadharan, Babyjohn John, Saranyan Ravi, Sabitha Gokulraj, D.N. Shrienitha
Health Professions Education
Purpose Peer-assisted mentoring (PAM) is increasingly recognized as an effective educational strategy in health professions education. It fosters collaborative learning, where mentors and mentees engage in knowledge exchange, critical thinking, and skill development. This study aimed to explore the influence of peer-assisted mentoring on the academic performance of final-year Bachelor of Dental Surgery (BDS) students, in comparison to their non-mentored counterparts, while also assessing its broader educational benefits.
Methodology An action research study was conducted during the 2023–2024 academic year at Vinayaka Mission’s Sankarachariyar Dental College, Salem, Tamil Nadu, and India. High-achieving dental interns were selected and trained to serve …
Serum Igg N-Glycosylation Profiles Distinguish Primary Sjögren’S Disease, Rheumatoid Arthritis, And Systemic Lupus Erythematosus And Are Associated With Disease Activity In Sjögren’S Disease, Zhixian Chen, Xiaojia Xu, Manshu Song, Fengcai Shen, Haifeng Hou, Wei Wang, Ling Lin
Serum Igg N-Glycosylation Profiles Distinguish Primary Sjögren’S Disease, Rheumatoid Arthritis, And Systemic Lupus Erythematosus And Are Associated With Disease Activity In Sjögren’S Disease, Zhixian Chen, Xiaojia Xu, Manshu Song, Fengcai Shen, Haifeng Hou, Wei Wang, Ling Lin
Research outputs 2022 to 2026
Background: IgG N-glycosylation regulates immune effector functions and inflammation, but disease-specific patterns in primary Sjögren’s disease (SjD), rheumatoid arthritis (RA) and systemic lupus erythematosus (SLE) are insufficiently defined, particularly in SjD.
Objectives: To identify serum IgG N-glycan biomarkers that differentiate SjD, RA, and SLE and reflect disease activity in SjD.
Design: A clinical case-control study.
Methods: Serum IgG N-glycans from 88 SjD patients, 102 RA patients, 86 SLE patients and 91 healthy controls were profiled using ultra-performance liquid chromatography. Discriminative glycans were selected through machine learning-based feature selection and evaluated for their diagnostic performance using cross-validated logistic regression and receiver …
Effect Of Blood Flow Restricted Walking On Cardiovascular Fitness, Muscular Development, And Functional Performance In Adults: A Systematic Review With Meta-Analysis, Michael Beere, James R. Mckee, Isaac Selva Raj, Kieran J. Marston, Kristen De Marco, Brook Galna, Jeremiah J. Peiffer, Belinda Brown, Keith D. Hill, Peter Edwards, Brendan R. Scott
Effect Of Blood Flow Restricted Walking On Cardiovascular Fitness, Muscular Development, And Functional Performance In Adults: A Systematic Review With Meta-Analysis, Michael Beere, James R. Mckee, Isaac Selva Raj, Kieran J. Marston, Kristen De Marco, Brook Galna, Jeremiah J. Peiffer, Belinda Brown, Keith D. Hill, Peter Edwards, Brendan R. Scott
Research outputs 2022 to 2026
Increasing evidence from randomised controlled trials demonstrates blood flow restriction (BFR) improves walking intervention outcomes compared to walking without BFR. This systematic review and meta-analysis examined the effects of BFR walking interventions on cardiovascular fitness, muscle strength and hypertrophy, and functional performance in adults, and moderators of age, health status, training volume and intensity. Six databases were systematically searched following PRISMA guidelines, up to April 2025. Studies were eligible if participants were ≥ 18 years, included randomised controlled trials with BFR walking interventions ≥ 12 sessions and ≥10 min/session, at least one measure of cardiovascular fitness, muscular strength, muscular hypertrophy, …
Analysis Of Multimodal Large Language Models On Visually-Based Questions In The Japanese National Examination For Dental Hygienists: A Preliminary Comparative Study, Yoshino Kaneyasu, Yuichi Mine, Yoshie Niitani, Tsuyoshi Taji, Saori Takeda, Ryohei Tokinaga, Hideo Shigeishi, Toshinobu Takemoto, Naoya Kakimoto, Takeshi Murayama, Kouji Ohta
Analysis Of Multimodal Large Language Models On Visually-Based Questions In The Japanese National Examination For Dental Hygienists: A Preliminary Comparative Study, Yoshino Kaneyasu, Yuichi Mine, Yoshie Niitani, Tsuyoshi Taji, Saori Takeda, Ryohei Tokinaga, Hideo Shigeishi, Toshinobu Takemoto, Naoya Kakimoto, Takeshi Murayama, Kouji Ohta
Journal of Dental Sciences
Background/purpose The importance of oral health is globally recognized, which has increased the demand for qualified dental hygienists. This study assessed the performance of multimodal large language models (LLMs), on the Japanese National Examination for Dental Hygienists, focusing on their ability to answer visually-based questions and evaluating image-recognition capabilities. Materials and methods The 34th Japanese National Examination for Dental Hygienists (March 2025) supplied 213 multiple-choice questions (74 text-only, 139 visually-based). Five multimodal LLMs were tested: OpenAI o3-mini-high (o3-mh), ChatGPT-4.5 Preview (GPT-4.5), Gemini 2.0 Flash Thinking Experimental (Gemini 2.0), Gemini 2.5 Pro Experimental (Gemini 2.5), and Claude 3.7 Sonnet (Claude 3.7). …
Impact Of Orthodontic Treatment On Masticatory Muscle Electromyographic Patterns In Patients With Anterior Crossbite, Yi-Mien Cheng, Yueh-Ling Hsieh, Yu-Hsiang Chang, Yuan-Hou Chen, Jian-Hong Yu
Impact Of Orthodontic Treatment On Masticatory Muscle Electromyographic Patterns In Patients With Anterior Crossbite, Yi-Mien Cheng, Yueh-Ling Hsieh, Yu-Hsiang Chang, Yuan-Hou Chen, Jian-Hong Yu
Journal of Dental Sciences
Background/purpose Anterior crossbite affects facial aesthetics and may cause temporomandibular joint disorders and masticatory muscle dysfunction. Prolonged abnormal bite positioning may impact muscle activity and affect treatment stability. Although orthodontic therapy aims to realign teeth and correct bite relationships, the neuromuscular adaptations following treatment remain unclear. This study aims to investigate the changes in masticatory muscle activity before and after orthodontic treatment in patients with anterior crossbite using surface electromyography (sEMG). Materials and methods 41 participants were recruited and divided into 3 groups: normal occlusion (n = 18), anterior crossbite without treatment (control, n = 6), and anterior crossbite with …
Evaluation Of Condylar Position Displacement Using Various Centric Relation Recording Techniques Based On Maximum Intercuspation Position: A Systematic Review And Meta-Analysis, Ling-Shiuan Huang, Yen-Chang Huang, I-Ting Wu, Shinn-Jyh Ding
Evaluation Of Condylar Position Displacement Using Various Centric Relation Recording Techniques Based On Maximum Intercuspation Position: A Systematic Review And Meta-Analysis, Ling-Shiuan Huang, Yen-Chang Huang, I-Ting Wu, Shinn-Jyh Ding
Journal of Dental Sciences
Background/ purpose: Restoring tooth defects is a key clinical task for dentists, aimed at either maintaining or reconstructing a functional occlusal dentition. This study conducted a systematic review and meta-analysis of clinical trials comparing centric relation (CR) and maximum intercuspal position (MIP) condylar positions obtained using various CR techniques, and to verify the reproducibility of these methods.
Materials and methods: The PubMed, Embase, Google Scholar, and Cochrane Library databases were searched for articles published before January 2026. The single-arm meta-analysis used a random-effects model to calculate the overall effect size.
Results: This study included 12 articles published …
Dental Treatment And Oral Care For Patients With Severe Mental Illness Receiving Psychiatric Home-Visit Care: A Narrative Review With An Illustrative Case, Takayuki Suga, Trang Thi Huyen Tu, Yuji Gamo, Takafumi Asakura, Shigeru Iida, Akira Toyofuku
Dental Treatment And Oral Care For Patients With Severe Mental Illness Receiving Psychiatric Home-Visit Care: A Narrative Review With An Illustrative Case, Takayuki Suga, Trang Thi Huyen Tu, Yuji Gamo, Takafumi Asakura, Shigeru Iida, Akira Toyofuku
Journal of Dental Sciences
Patients with severe mental illness (SMI) often have untreated caries, periodontal inflammation, tooth loss, xerostomia-related risk, dental anxiety, and delayed dental attendance. This narrative review aimed to synthesize evidence relevant to dental treatment planning for patients with SMI receiving psychiatric home-visit care and to clarify when domiciliary dental assessment and repeated professional oral care may be indicated. Targeted literature searches and citation tracking were used to identify reviews, epidemiological studies, intervention studies, qualitative syntheses, and special care dentistry guidance. The evidence indicates that oral disease in SMI reflects not only limited knowledge but also avolition, cognitive impairment, psychosis, sedation, medication-induced …
Cephalometric And Soft Tissue Determinants Of Esthetic Outcomes After Single-Jaw Mandibular Setback Surgery In Skeletal Class Iii Patients: A Retrospective Study, Chun-Te Ho, You-Ru Chen, Tsui-Hsien Huang, Jnug-Chun Yeh, Tzu-Yu Peng, Chia-Tze Kao
Cephalometric And Soft Tissue Determinants Of Esthetic Outcomes After Single-Jaw Mandibular Setback Surgery In Skeletal Class Iii Patients: A Retrospective Study, Chun-Te Ho, You-Ru Chen, Tsui-Hsien Huang, Jnug-Chun Yeh, Tzu-Yu Peng, Chia-Tze Kao
Journal of Dental Sciences
Background/purpose: Orthognathic surgery is an effective treatment for skeletal Class III malocclusion; however, the relative influence of skeletal and soft tissue variables on postoperative esthetic outcomes remains unclear. This study aimed to evaluate the relationships among cephalometric parameters, soft tissue changes, and esthetic outcomes following single-jaw mandibular setback surgery.
Materials and methods: A retrospective study was performed on 258 adult patients with skeletal Class III malocclusion subspinale-nasion-supramentale (ANB) angle < 0° who were treated between 2016 and 2021. Patients were divided into three groups: bilateral vertical ramus osteotomy (BVRO) group (n = 99), genioplasty alone group (n = 30), and BVRO plus genioplasty group. (n = 129). Cephalometric and …
Dual-Layer Biphasic Calcium Phosphates/Tantalum Pentoxide Coating On Titanium For Concurrent Biocorrosion Resistance And Enhanced Biocompatibility, Ying-Sui Sun, Kai-Yi Lin, Wei-Cheng Chen, Her-Hsiung Huang
Dual-Layer Biphasic Calcium Phosphates/Tantalum Pentoxide Coating On Titanium For Concurrent Biocorrosion Resistance And Enhanced Biocompatibility, Ying-Sui Sun, Kai-Yi Lin, Wei-Cheng Chen, Her-Hsiung Huang
Journal of Dental Sciences
Background/purpose: Titanium (Ti) dental implants must resist biocorrosion while maintaining biocompatibility. This study developed a dual-layer biphasic calcium phosphates/tantalum pentoxide (BCPs/Ta₂O₅) coating on Ti to improve both biocorrosion resistance and biological performance.
Materials and methods: A dense Ta₂O₅ inner layer was fabricated via a hydrolysis–condensation process to act as a corrosion barrier. Subsequently, a porous BCPs outer layer was deposited by electrochemical cathodic deposition to provide a bioactive interface. Surface morphology, functional groups, crystalline structure, wettability, surface free energy, coating thickness and nanostructure, protein adsorption, and in vitro bioactivity were characterized. Biocorrosion behavior was evaluated using polarization curve measurements in …
Antisense Oligonucleotides-Mediated Rescue Of The Amelx Splicing Defects, Eui-Sic Cho, Youn Jung Kim, Figen Seymen, Mine Koruyucu, Jan C.-C. Hu, James P. Simmer, Jung-Wook Kim
Antisense Oligonucleotides-Mediated Rescue Of The Amelx Splicing Defects, Eui-Sic Cho, Youn Jung Kim, Figen Seymen, Mine Koruyucu, Jan C.-C. Hu, James P. Simmer, Jung-Wook Kim
Journal of Dental Sciences
Background/purpose: Amelogenesis imperfecta (AI) is a group of rare, inherited disorders characterized by abnormal enamel formation. While identifying the genes and mutations that cause the disease is important, understanding its molecular pathogenesis is essential to developing precision and personalized medicine, which aim to stop disease onset, slow its progression, and provide a range of treatment options. Previously, we identified mutations that affect the conserved alternative splicing of the AMELX gene, leading to the inclusion of normally skipped exon 4 and resulting in a characteristic AI phenotype.
Materials and methods: HEK293 cells were grown on cell culture dishes …
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
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
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
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 …
C-X-C Motif Chemokine Ligand 13 And The C-X-C Motif Chemokine Receptor 5–C-Jun N-Terminal Kinase–Nuclear Factor Kappa B–Matrix Metalloproteinase 9 Axis In Oral Squamous Cell Carcinoma Metastasis, Ju-Fang Liu, Kuan-Chou Lin, Po-Chih Hsu, Tsung-Ming Chang, Peng Chen, Ying-Sui Sun
C-X-C Motif Chemokine Ligand 13 And The C-X-C Motif Chemokine Receptor 5–C-Jun N-Terminal Kinase–Nuclear Factor Kappa B–Matrix Metalloproteinase 9 Axis In Oral Squamous Cell Carcinoma Metastasis, Ju-Fang Liu, Kuan-Chou Lin, Po-Chih Hsu, Tsung-Ming Chang, Peng Chen, Ying-Sui Sun
Journal of Dental Sciences
Background/purpose: Metastasis is the leading cause of treatment failure in oral squamous cell carcinoma (OSCC). This study investigated the role of C-X-C motif chemokine ligand 13 (CXCL13) in OSCC metastasis and the underlying signaling mechanism.
Materials and methods: Integrative transcriptomic analysis was performed using three independent OSCC datasets to identify metastasis-associated genes. CXCL13 expression was examined in OSCC tissues and highly migratory sublines. The effects of CXCL13 on cell migration were evaluated in vitro. Pathway analysis, pharmacological inhibitors, and receptor silencing were used to investigate the downstream signaling pathway. An orthotopic tongue xenograft model was used to evaluate the effect …
Pathogenic Oral Microbiota Abundance Is Associated With Reduced Bite Force In Patients With Periodontitis, Chih-Chieh Wen, Thu Ya Linn, Ting-Yi Renn, Hui Yin Nam, Chia-Chen Hsu, Yi-Jen Lin, Yi-Fan Wu, Wei-Jen Chang
Pathogenic Oral Microbiota Abundance Is Associated With Reduced Bite Force In Patients With Periodontitis, Chih-Chieh Wen, Thu Ya Linn, Ting-Yi Renn, Hui Yin Nam, Chia-Chen Hsu, Yi-Jen Lin, Yi-Fan Wu, Wei-Jen Chang
Journal of Dental Sciences
Background/purpose: Periodontitis leads to tissue destruction and functional impairment, but the interplay between microbiota, clinical parameters, and biomechanics remains unclear. This study aimed to quantitatively correlate specific oral microbial signatures and clinical inflammatory indicators with bite force in patients with periodontitis.
Materials and methods: Fifteen patients with stage III-IV periodontitis and 15 periodontally healthy controls were recruited. Clinical parameters (Probing Depth, Clinical Attachment Loss, Bleeding on Probing, Plaque Index) and MBF (pressure-sensitive film) were recorded. Supragingival plaque was analyzed through 16S rRNA gene sequencing (PacBio SMRT) to determine microbial composition. Correlation analyses were performed.
Results: The periodontitis …
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
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 …
Integrated Analysis Of Single-Cell And Bulk Rna-Sequence Data Reveal Plasma Dendritic Cell-Related Diagnostic Model For Sjögren's Syndrome Based On Machine Learning,, Jinhao Zhang, Chunye Zhang
Integrated Analysis Of Single-Cell And Bulk Rna-Sequence Data Reveal Plasma Dendritic Cell-Related Diagnostic Model For Sjögren's Syndrome Based On Machine Learning,, Jinhao Zhang, Chunye Zhang
Journal of Dental Sciences
No abstract provided.
Integrating Image Processing And Deep Learning Framework For Automatic Supernumerary Tooth Detection On Occlusal Radiographs, Jui-An Fu, Chia-Lin Hsu
Integrating Image Processing And Deep Learning Framework For Automatic Supernumerary Tooth Detection On Occlusal Radiographs, Jui-An Fu, Chia-Lin Hsu
Journal of Dental Sciences
No abstract provided.
Deciphering Novel Targets In Salivary Gland Pleomorphic Adenoma By Integrating Plasma Proteomics And Parotid Transcriptomics Analyses, Yuchen Fan, Suning Mao
Deciphering Novel Targets In Salivary Gland Pleomorphic Adenoma By Integrating Plasma Proteomics And Parotid Transcriptomics Analyses, Yuchen Fan, Suning Mao
Journal of Dental Sciences
No abstract provided.
Vanadium-Functionalized Methyl Methacrylate-Based Primer Enhances Self-Curing And Bonding Of Resin Cement To Polyetheretherketone Restorations, Takeru Kondo, Jun Sato
Vanadium-Functionalized Methyl Methacrylate-Based Primer Enhances Self-Curing And Bonding Of Resin Cement To Polyetheretherketone Restorations, Takeru Kondo, Jun Sato
Journal of Dental Sciences
No abstract provided.
A Visualized Ai-Assisted Framework For Pre-Surgical Evaluation Of Implant Pathways On Periapical Radiographs, Yuan-Jin Lin, Chiung-An Chen
A Visualized Ai-Assisted Framework For Pre-Surgical Evaluation Of Implant Pathways On Periapical Radiographs, Yuan-Jin Lin, Chiung-An Chen
Journal of Dental Sciences
No abstract provided.