Analysis Of Correlation Research Articles

Analysis of cellular and molecular biomechanical correlates in emotional response monitoring via biosensors and their impact on teaching strategy modification in Japanese language instruction

Emotion states have a significant impact on language acquisition and learning outcomes. In Japanese language teaching, traditional strategies often overlook students' emotional responses, which can lead to stress and disengagement, affecting performance. To address this, the study focuses on incorporating bio-sensor-based emotional reaction monitoring. At the cellular and molecular biomechanical level, emotions can trigger a cascade of physiological changes. For example, stress can activate the hypothalamic-pituitary-adrenal (HPA) axis, leading to the release of stress hormones like cortisol. These hormonal changes can affect neurotransmitter systems and cellular signaling pathways in the brain, influencing cognitive functions related to language learning. During Japanese language sessions, teachers' emotional states are recorded using surveys and EEG monitoring. The EEG signals can provide insights into the neural activity and related cellular and molecular events. Participants are divided into experimental and control groups. In the experimental group, teaching strategies are adjusted based on emotional monitoring data. The Extreme Gradient Boosting (XGBoost) model classifier is used for EEG signal feature selection to create a stress level identification model. This model can help in understanding the cellular and molecular correlates of stress during teaching. Statistical analysis evaluates the relationship between EEG features and stress levels, as well as the effectiveness of adjusted teaching strategies. Tailored teaching strategies based on these insights can enhance teacher resilience and improve the classroom environment. By considering the cellular and molecular biomechanical aspects of emotions, the study aims to improve teacher well-being and student learning experiences, leading to more effective Japanese language instruction.

Biomarkers and potential therapeutic targets driving progression of non-alcoholic steatohepatitis to hepatocellular carcinoma predicted through transcriptomic analysis.

Non-alcoholic steatohepatitis (NASH) is the most prevalent chronic liver condition globally, with potential progression to cirrhosis, and even hepatocellular carcinoma (HCC). The increasing prevalence of NASH underscores the urgent need for advanced diagnostic and therapeutic strategies. Despite its widespread impact, effective treatments to prevent the progression of NASH remain elusive, highlighting the critical importance of innovative molecular techniques in both the diagnosis and management of this disease. Six microarray datasets available in GEO were used to perform Robust Rank Aggregation (RRA) to identify differentially expressed genes (DEGs).We identified 62 robust upregulated genes and 24 robust downregulated genes. These genes were undergone Gene Ontology enrichment analysis and further examination for expression correlation with NAS score. Molecular subtypes were generated using "ConsensusClusterPlus" on identified genes, which were further assessed for tumor stage relevance, expression differences in adjacent and tumor tissues, and impact on survival in TCGA liver cancer patients. Single-cell analysis was then used to explore the genes across different cell types and subgroups as well as cell-type interactions. The clinical utility of predicted core genes was highlighted through decision curve analysis, with emphasis on HCC prognosis. The GDSC database was used to evaluate the relationship between the predicted core genes and drug sensitivity, while the TIDE database was used to evaluate their relationship with immunotherapy. Four core genes, TREM2, GDF15, TTC39A, and ANXA2, were identified as key to influencing HCC prognosis and therapy responsiveness, especially immune treatment efficacy in NASH-associated HCC. The core genes may act as critical biomarkers driving the progression of NASH to HCC. They are potential novel targets for the diagnosis and treatment of NASH progression, offering innovative perspectives for its clinical management.

Human adenovirus type 7 (HAdV-7) infection induces pulmonary vascular endothelial injury through the activation of endothelial autophagy

BackgroundHAdV-7 is a prevalent pathogen that can cause severe pneumonia in children. Previous studies have shown a significant increase in serum levels of vascular permeability factor (VPF/VEGF) and viral load in pediatric patients with fatal HAdV-7 infection, suggesting potential damage to the pulmonary vascular endothelium. Further research is necessary to elucidate the underlying mechanism.MethodsThe human lung microvascular endothelial cell line-5a and human CD46 mice were used for in vitro and in vivo experiments, respectively. RNA-seq was employed for correlative omics analysis. Viral infection and copy status were examined using transmission electron microscopy to observe virus particles, immunofluorescence to detect the viral protein Hexon, and qPCR to assess HAdV-7 fiber gene copies. Various methods, including ELISAs for VEGF and other injury markers, the CCK8 assay for cell viability, and flow cytometry for endothelium numbers, were employed to evaluate endothelial damage. Acute lung injury severity was evaluated by scoring pathological inflammation and measuring pulmonary vascular permeability. Autophagy activation was assessed by observing autophagosomes and validating marker proteins.ResultsGSEA analysis showed significant enrichment of gene sets related to endothelial functions (barrier, defense, and regeneration) and ALI in the HAdV-7-infected group. GO analysis indicated an enrichment of autophagy-related pathways linked to cell death. Subsequently, successful signs of HAdV-7 infection and replication were observed in the endothelium, including cytopathic effects, intracellular virions, and increased HAdV-7 fiber gene copies. Endothelial injury, including mitochondrial damage, decreased endothelium, and elevated levels of endothelial injury markers such as VEGF, sICAM-1, sVCAM-1, E-selectin, ESM1, MCP1, and IL1β were observed after HAdV-7 infection. Additionally, evidence of leaky lung blood vessels and ALI was observed, including progressive weight loss, elevated pulmonary vascular permeability, and severe lung consolidation. Furthermore, HAdV-7 infection induced autophagosome formation in the endothelium and triggered complete cell autophagy. Importantly, inhibiting autophagic flux reduced VEGF levels and other endothelial injury markers, decreased viral load, improved cell survival rate, alleviated pulmonary vessel leakage, and mitigated lung inflammation.ConclusionsHAdV-7 successfully infects pulmonary vascular endothelium and replicates effectively, causing injury to the endothelium, high VEGF expression and viral load in the serum, as well as ALI/ARDS. Autophagy inhibitors can alleviate endothelial injury, inhibit viral replication, relieve leakage from the vasculature, and reduce lung inflammation.

Correlation between body composition and bone mineral density in obese pre-menopausal women

Obese condition which causes changes in body composition affect to very serious consequences on Bone Mineral Density (BMD). This study aims to analyze correlation between body composition that consist of lean mass, fat mass, and visceral fat rating with Bone Mineral Density. Cross-sectional study that conducted from June-December 2023 at Diponegoro National Hospital (RSND) Semarang. Body composition respondent was measured using Tanita Body Analyzer and bone mineral density respondent was analyzed using Dual X-ray absorptiometry (DXA) in Semarang Medical Center. Statistical Analysis for correlation in this study using Spearman Test. Total 100 respondent in this study was in obese condition with mean body mass index 33.08 ± 5.42 kg/m2. There was no significant correlation between lean mass and total fat mass with bone mineral density (p>0.05) but, viseral fat rating and bone mineral density having significant correlation with p=0.021 with weak correlation strength r=0.230. Positive correlation was found among body composition that consist of fat mass, lean mass, and visceral fat rating with bone mineral density but, significant correlation only found in visceral fat fat rating and bone mineral density (p=0.021).

Plasma arginine as a predictive biomarker for outcomes with immune checkpoint inhibition in metastatic colorectal cancer: a correlative analysis of the CCTG CO.26 trial

BackgroundNutritional stress is a mechanism that allows tumor cells to evade the immune system. Arginine (ARG), an amino acid involved in immunomodulation, aids in regulating T-lymphocyte cell activity and the...

PRESERVING HERITAGE IN THREADS: A STUDY OF ORANG ULU MOTIF ADAPTATION IN CONTEMPORARY ETHNIC WEAR CRAFTED BY SMES

The delicate balance between preserving the rich cultural legacy of Orang Ulu motif patterns and adapting them to current items of ethnic wear made by small and medium-sized enterprises (SMEs) is examined in this research. The study explores how Orang Ulu motifs are used in modern clothing production in Sarawak, Malaysia, acknowledging the importance of community involvement in documenting and organising this cultural legacy. While they need to be protected, these culturally significant designs must also be relevant in contemporary fashion due to modernisation and changing consumer preferences. This study aims to examine factors influencing consumers’ purchase behaviour regarding ethnic wear or cultural clothing made by SMEs. Cultural anthropology, design innovation and business development were used to examine how SMEs might preserve Orang Ulu culture. Interviews, surveys and design studies were employed to understand producer and customer preferences and expectations. Relevant variables were obtained from a literature review. This empirical study used a well-structured face-to-face and internet-based customer questionnaire to survey 194 respondents. SPSS software was used to analyse the data using ranking scale analysis, analysis of variance and Pearson's correlation. This research identifies several techniques for incorporating traditional Orang Ulu motif designs into contemporary ethnic clothing to help SMEs balance cultural preservation and market viability. The complex process of conserving cultural themes despite global developments is explored, emphasising the need for adaptation to maintain cultural identity in the global market. The research will help SME owners and entrepreneurs meet customer expectations and build brand loyalty. The study’s limitations include a small sample size and a focus on consumer behaviour towards transformative ethnic wear made by SMEs, so the results cannot be applied to other firm types. SMEs making transformative ethnic wear are crucial for economic diversification, particularly in developing nations like Malaysia.

Assessment of myelination development in neonatal rats using chemical exchange saturation transfer (CEST) 7-T MRI.

Myelination is a crucial process in the nervous system. This study aimed to evaluate the progression of myelin sheath development in different brain regions of neonatal rats at distinct developmental stages using Chemical Exchange Saturation Transfer (CEST) 7-T MRI. Male SD rats of different ages (3days, 1week, 2weeks, 3weeks, 1month, 2months) were selected for the study. Advanced in vivo MRI experiments were conducted using a 7-T MRI scanner. Custom MatLab scripts were employed to generate MR images and process the data. Myelin staining was used to assess myelin distribution in various brain regions. Statistical analysis was performed using repeated measures multivariate analysis of variance (MANOVA) and Spearman's rank correlation. The progression of myelination was significantly different in different brain regions (F(5, 30) = 3.34, P < 0.05), with the corpus callosum showing an accelerated rate of myelination. Within the first month alone, there was an increase of 46.1% in myelination (t(35) = 2.29, P < 0.05). The hypothalamus and internal capsule exhibited a more gradual yet consistent increase in myelination over the two-month period, with increases of 47.1% (t(35) = 2.27, P < 0.05) and 39.8% (t(35) = 2.59, P < 0.05), respectively. A substantial positive correlation was found between the MRI-based and histological measurements of myelination (r = 0.31, P < 0.05). This study demonstrates the potential of CEST 7-T MRI as a non-invasive tool for assessing myelination progression and provides insights into the differential myelination rates across various brain regions during early development.

Measuring financial distress in German cancer patients: development and validation of the Financial Distress of Cancer Assessment Tool (FIAT)

Cancer diagnosis and therapy can lead to significant financial distress for those affected, even in universal health care systems. We present the development and validation of a patient-reported outcome measure for financial distress in German cancer patients. Validation of the newly developed instrument followed a two-step approach, including two quantitative paper-pencil surveys (N1= 111, N2= 267) with patients of all types of cancer and treatment status at two German university hospitals. Factorial validity, reliability, construct, and criterion validity were assessed using exploratory and confirmatory factor analysis, correlative and linear regression analysis. The Financial Distress of Cancer Assessment Tool (FIAT) comprises 19 items across three domains of subjective financial distress: (i) financial worries; (ii) dissatisfaction across various life domains, and (iii) challenging experiences with authorities and benefit providers (e.g. employment agency, health insurance). Confirmatory factor analysis confirmed the instrument's factorial structure. Composite reliability (Raykov's rho) ranges from 0.88 to 0.96, and retest reliability ranges from 0.64 to 0.75. Correlational analyses showed significant associations between FIAT scores and related constructs [e.g. correlations with the EORTC-QLQ-C30 financial distress subscale (Q28) ranging from 0.47 to 0.60], supporting its construct validity. Additionally, higher FIAT scores were significantly associated with lower health-related quality of life measured by Q29 and Q30 of the EORTC-QLQ-C30, with correlations ranging from-0.21 to-0.28. They were also positively correlated with depression (PHQ-4), with correlations ranging from 0.33 to 0.45, and anxiety (PHQ-4) with correlations ranging from 0.25 to 0.36, confirming its criterion validity. The newly developed patient-reported outcome measure is the first reported measurement tool to assess financial distress in German cancer patients. The instrument can be used for research purposes and to enable the provision of coordinated support services.

Assessment of the Clinical Interactions of GAA Repeat Expansions in FGF14 and FXN.

The number of GAA repeats in the FXN gene is a major but not sole determinant of the clinical presentation of Friedreich ataxia (FRDA). The objective of this study was to establish whether the length of the GAA repeat tract in the FGF14 gene, which is associated with another neurodegenerative disorder (SCA27B), affects the clinical presentation (age at onset, mFARS score) of patients with FRDA. The number of GAA repeats in the FXN and FGF14 genes was determined using PCR in a cohort of 221 patients with FRDA. Next, we compared absolute lengths of the FGF14 GAAs with FXN GAAs, followed by correlative analyses to determine potential effects of FGF14 GAA length on age at onset and clinical presentation (mFARS) of FRDA. We found no significant correlation between the size of the GAA repeats in FXN and FGF14 loci in our FRDA cohort. Moreover, the number of GAAs in FGF14 did not affect the clinical presentation of FRDA even in a small number of cases where a long FGF14 allele was present. Despite both molecular and clinical similarities between FRDA and SCA27B, the length of the GAA repeats in the FGF14 gene, including potentially pathogenic alleles, did not influence the clinical presentation of FRDA.

Characterization and modelling of the microstructural and mechanical properties of additively manufactured continuous fiber polymer composites

The additive manufacturing of continuous fiber reinforced polymer composites is a technology showing great potential for the production of end-use functional and structural components. The reasons for its still limited use are primarily related to an insufficient knowledge of the mechanical behavior of these composites, especially when considering the features that distinguish the printed components from conventional composite parts. Among these peculiar features, their bead-based architecture has been experimentally and analytically investigated in this study. Following an analysis of the process-morphology correlation, carbon fiber (CF)/polyamide 12 (PA12) specimens were tested to characterize the in-plane quasi-static material properties. Then, a modelling framework has been proposed for assessing the composite elastic properties and average bead stresses. This framework holds the potential to scale up to a structural level, accommodating various fiber trajectories.

Endometrial Cancer Research Based on Gut Microbiomics and Metabolomics: An Analysis of Correlation and Differences

Endometrial Cancer Research Based on Gut Microbiomics and Metabolomics: An Analysis of Correlation and Differences

Social Maturity among Eleventh Standard Students about Personality in Tiruvannamalai District

This study aimed to examine the level of social maturity and personality among eleventh standard students. Using a descriptive research method, a sample of 100 students was selected through random sampling. The researchers employed mean, standard deviation, and t-test analysis to analyze the data. The study compared social maturity and personality between government and private school students, as well as between boys and girls. Social maturity was measured using Nalini Rao's Social Maturity Scale, while personality was assessed using H.J. Eysenck's Personality Scale. The results indicated no significant differences in social maturity or personality between government and private school students or between boys and girls. Furthermore, an analysis of correlation was performed to examine the connection between personality traits and social maturity amongst students in the eleventh standard.

The feasibility of using a multivariate regression model incorporating ultrasound findings and serum markers to predict thyroid cancer metastasis.

This study aimed to assess the viability of a multivariate regression model utilizing ultrasound findings and serum markers for predicting thyroid cancer metastasis. A retrospective analysis of 98 thyroid patients admitted from January 2022 to October 2022 was conducted to categorize them into a metastasis group (n=20) and a non-metastasis group (n=78) based on postoperative pathological results. Both groups underwent ultrasound examination and serum marker testing. Correlative analysis was performed to explore the association between various indicators and thyroid cancer metastasis. A multivariate regression model was developed, and receiver operating characteristic (ROC) curves were used to assess the predictive value of ultrasound findings, serum markers, and their combination for thyroid cancer metastasis. Statistically significant differences were found in the levels of ultrasound findings and serum markers between the two groups. Nodule boundaries, presence or absence of halos, margins, lobulation, capsular invasion, surface smoothness, nodule aspect ratio, uric acid, total cholesterol, triglyceride, and LDL cholesterol levels were predictors of metastasis in thyroid cancer. The AUC value of 0.950 for the prediction of thyroid cancer metastasis by ultrasound signs combined with serologic indicators was significantly higher than 0.728 and 0.711 predicted by ultrasound signs or serologic indicators alone. The multivariate regression model incorporating ultrasound findings and serum markers enhances the predictive accuracy for thyroid cancer metastasis, offering essential guidance for early prediction and intervention in a clinical setting.

Comprehensive study of rapid capacity fade in prismatic Li-ion cells with flexible packaging

Prismatic lithium-ion batteries (LIBs) are considered promising electric energy sources in electromobility applications due to their efficient space utilization. However, their sensitivity to external and internal influences and reduced durability lead to inflation risk and potential explosions throughout their lifecycle. These critical processes are strongly influenced by the inner construction of the cell, especially concerning the coating and mechanical fixation. This study subjects a commercially available prismatic LIB cell to comprehensive, correlative analysis employing various imaging techniques. The inner structure of the entire cell is visualized non-destructively by X-ray computed tomography (CT), enabling the identification of critical design flaws prior to electrochemical cycling. Electrochemical cycling simulates the battery lifecycle, and the cell is subsequently disassembled in the fully charged state. The usage of the inert-gas transfer system allowed the preparation of Broad Ion Beam (BIB) electrodes cross-sections in a fully native state and for the first time to observe the tearing of graphite particles due to over-lithiation. Established region labeling system allowed to use CT and scanning electron microscopy (SEM) correlatively to identify critical regions. After 100 cycles, a 40% capacity loss was observed and event diagram describing deagradation mechanisms, related both to the cell design and to the processes occurring at high load, was created.

Workplace Diversity and Human Resource Performance Among Non-Teaching Staff of Selected Private Universities in Ogun State

The proliferation of privately owned institutions in Nigeria has led to a range of challenges, including the issue of workplace diversity. The observed phenomenon is a naturally occurring event that can have varying effects on worker performance, depending on the effectiveness of its management. Numerous research studies have demonstrated the significant impact of non-teaching personnel management on their performance in private university settings. This study investigates the influence of workplace diversity on the efficacy of human resource management, expanding on the existing theoretical framework. The study utilised a survey research method, specifically targeting private universities in Ogun State that have obtained approval from the National Universities Commission (NUC). A representative sample of respondents was selected. The data was collected using a meticulously designed questionnaire. Regression analysis of ordinary least squares (OLS) and Pearson product correlation were used to analyse workplace diversity and human resources performance among non-teaching staff in a selected private university in Nigeria. The regression analysis conducted in this study revealed a statistically significant association between workplace diversity, encompassing factors such as age, education, and gender, and employees' performance in Nigeria. Ethnic diversity has a detrimental effect on workplace diversity. The study indicates that it is important for organisational management to establish and implement policies that support diversity in the workforce, considering the varied backgrounds of all individuals involved.

Web Semantic-Enhanced Multimodal Sentiment Analysis Using Multilayer Cross-Attention Fusion

Aiming at the existing multimodal sentiment analysis approaches, which include inadequate extraction of unimodal features, redundancy of independent modal features, insufficient analysis of semantic correlation between data and insufficient fusion, a Web-Semantic Enhanced Multimodal Sentiment Analysis Using Multilayer Cross-Attention Fusion is proposed. The model utilizes deep learning (including XLNet, ResNeSt, and convolutional neural networks) to extract high-level features from text, audio, and visual modes through self-attention mechanisms, and improves the accuracy of emotion classification through multimodal fusion. The results of experiments demonstrate that the suggested MCFMSA can achieve Acc-2, Acc-3, F1, and MAE values of 89.7%, 85.2%, 89.3%, and 0.466 on the CMU-MOSI dataset, respectively; and on the CMU-MOSEI dataset, Acc-2, Acc-3, F1, and MAE values of 88.7%, 82.5%, 86.5%, and 0.475. All of them are significantly improved compared to several other advanced multimodal sentiment analysis methods, which can enhance the accuracy of sentiment classification.

Single-Entity Electrochemistry of N-Doped Graphene Oxide Nanostructures for Improved Kinetics of Vanadyl Oxidation.

N-doped graphene oxides (GO) are nanomaterials of interest as building blocks for 3D electrode architectures for vanadium redox flow battery applications. N- and O-functionalities have been reported to increase charge transfer rates for vanadium redox couples. However, GO synthesis typically yields heterogeneous nanomaterials, making it challenging to understand whether the electrochemical activity of conventional GO electrodes results from a sub-population of GO entities or sub-domains. Herein, single-entity voltammetry studies of vanadyl oxidation at N-doped GO using scanning electrochemical cell microscopy (SECCM) are reported. The electrochemical response is mapped at sub-domains within isolated flakes and found to display significant heterogeneity: small active sites are interspersed between relatively large inert sub-domains. Correlative Raman-SECCM analysis suggests that defect densities are not useful predictors of activity, while the specific chemical nature of defects might be a more important factor for understanding oxidation rates. Finite element simulations of the electrochemical response suggest that active sub-domains/sites are smaller than the mean inter-defect distance estimated from Raman spectra but can display very fast heterogeneous rate constants >1cms-1. These results indicate that N-doped GO electrodes can deliver on intrinsic activity requirements set out for the viable performance of vanadium redox flow battery devices.

Optimization Processes of Clinical Chelation-Based Radiopharmaceuticals for Pathway-Directed Targeted Radionuclide Therapy in Oncology.

Targeted radionuclide therapy (TRT) for internal pathway-directed treatment is a game changer for precision medicine. TRT improves tumor control while minimizing damage to healthy tissue and extends the survival for patients with cancer. The application of theranostic-paired TRT along with cellular phenotype and genotype correlative analysis has the potential for malignant disease management. Chelation chemistry is essential for the development of theranostic-paired radiopharmaceuticals for TRT. Among image-guided TRT, 68Ga and 99mTc are the current standards for diagnostic radionuclides, while 177Lu and 225Ac have shown great promise for β- and α-TRT, respectively. Their long half-lives, potent radiobiology, favorable decay schemes, and ability to form stable chelation conjugates make them ideal for both manufacturing and clinical use. The current challenges include optimizing radionuclide production processes, coordinating chelation chemistry stability of theranostic-paired isotopes to reduce free daughters [this pertains to 225Ac daughters 221Fr and 213Bi]-induced tissue toxicity, and improving the modeling of micro dosimetry to refine dose-response evaluation. The empirical approach to TRT delivery is based on standard radionuclide administered activity levels, although clinical trials have revealed inconsistent outcomes and normal-tissue toxicities despite equivalent administered activities. This review presents the latest optimization methods for chelation-based theranostic radiopharmaceuticals, advancements in micro-dosimetry, and SPECT/CT technologies for quantifying whole-body uptake and monitoring therapeutic response as well as cytogenetic correlative analyses.

Neutralizing antibody correlate of protection against severe-critical COVID-19 in the ENSEMBLE single-dose Ad26.COV2.S vaccine efficacy trial

Assessment of immune correlates of severe COVID-19 has been hampered by the low numbers of severe cases in COVID-19 vaccine efficacy (VE) trials. We assess neutralizing and binding antibody levels at 4 weeks post-Ad26.COV2.S vaccination as correlates of risk and of protection against severe-critical COVID-19 through 220 days post-vaccination in the ENSEMBLE trial (NCT04505722), constituting ~4.5 months longer follow-up than our previous correlates analysis and enabling inclusion of 42 severe-critical vaccine-breakthrough cases. Neutralizing antibody titer is a strong inverse correlate of severe-critical COVID-19, with estimated hazard ratio (HR) per 10-fold increase 0.35 (95% CI: 0.13, 0.90). In a multivariable model, HRs are 0.31 (0.11, 0.89) for neutralizing antibody titer and 1.22 (0.49, 3.02) for anti-Spike binding antibody concentration. VE against severe-critical COVID-19 rises with neutralizing antibody titer: 63.1% (95% CI: 40.0%, 77.3%) at unquantifiable [<4.8975 International Units (IU)50/ml], 85.2% (47.2%, 95.3%) at just-quantifiable (5.2 IU50/ml), and 95.1% (81.1%, 96.9%) at 90th percentile (30.2 IU50/ml). At the same titers, VE against moderate COVID-19 is 32.5% (11.8%, 48.4%), 33.9% (19.1%, 59.3%), and 60.7% (40.4%, 76.4%). Protection against moderate vs. severe disease may require higher antibody levels, and very low antibody levels and/or other immune responses may associate with protection against severe disease.

Impact of the COVID-19 Pandemic on Oral Health Behaviors Among Children in Iran.

Parents are responsible for their children's oral health. This study evaluated parents' knowledge, attitudes, and performance on their children's oral health before and after an educational intervention and the impact of COVID-19 on these variables. This quasi-experimental study included 227 children aged 6-8 years who were referred to 11 Shiraz medical centers from July to December 2021. Data were collected from questionnaires and interviews. After completing the questionnaire, oral health education was provided immediately and then monthly thereafter using dental models and pamphlets. After 3 months, a questionnaire assessed the education's effectiveness. Data were analyzed using independent t-tests, one-way analysis of variance (ANOVA), paired t-tests, and Pearson's correlation. A total of 163 participants (71.80%) completed all phases, including the second questionnaire. Participants showed moderate knowledge (77.30%), attitude (89.00%), and performance (80.40%). Neither knowledge nor attitude before the intervention had a significant association with demographic characteristics. Parents' education, number of children, and maternal employment were significantly associated with performance (p = 0.002, p = 0.040, p < 0.001, respectively). The intervention significantly enhanced these variables (p < 0.001). In terms of COVID-19, 72.40% of participants expressed good knowledge about transmission, 52.80% showed moderate concern, and 54% had poor performance. Parental knowledge, attitude, and performance changed significantly following the intervention (p = 0.030, p < 0.001, p < 0.001, respectively). Educational intervention significantly improved parents' knowledge, attitudes, and performance toward children's oral health. Because of the poor performance of parents during the COVID-19 pandemic, we recommend the implementation of continuing education and preventive oral health programs.