Objective: Stigma influences perceptions of mental illness and novel diseases like coronavirus disease-2019 (COVID-19), often impeding healthcare access despite advancements in medical treatment. This study compares the stigma associated with COVID-19 and mental illness to identify factors that could help reduce stigma. Methods: An online survey was conducted in May 2023 among 1,500 participants aged 19 to 65 in South Korea, using a panel from Embrain, an online survey service. The survey assessed stigma and distress related to COVID-19 and mental illness using a validated questionnaire. It collected demographic and clinical data, evaluated COVID-19-related stigma, fear, and knowledge, and measured prejudice and attitudes toward psychiatric treatment. Personality traits were assessed using the Big Five Inventory (BFI)-10. Factors significantly associated with stigma scores were entered into linear regression analysis. Results: COVID-19-related stigma scores were significantly negatively correlated with knowledge of COVID-19 and positively correlated with fear of infection and age. Individuals with a history of COVID-19 infection had significantly lower scores on COVID-19-related stigma. Similarly, mental illness stigma was negatively correlated with knowledge of psychiatric treatment and positively correlated with age, as well as conscientiousness and neuroticism in the BFI. Personal experience with individuals with mental illness was associated with significantly lower stigma scores. Conclusion This study suggests that the mechanism-making stigma was similar in cases of traditional mental illness and a novel infectious disease. Both cognitive and experiential factors influence stigma. Educating the public about the disease and enabling interactions with affected individuals emerge as effective strategies for stigma reduction.

Objective: By focusing on a person-centered approach using latent class analyses (LCA), this study examined the patterns of sexual victimization among children and adolescents in South Korea and compared the psycho-behavioral outcomes of these classes. Methods: Participants were 546 females aged 6–17, including 117 sexual victimization survivors and 429 non-victims in South Korea. LCA, an analysis of covariance, and Bonferroni post-hoc tests were conducted. Psychological and behavioral outcomes were measured using the Korean version of the Child Behavior Checklist 6–18 and the Youth Self Report. Variables include internalizing (anxious/depressed, withdrawn/depressed, somatic complaints), externalizing (rule-breaking, aggressive behavior), social, thought, and attention problems. Results: Based on the fit statistics, proportion of each class, and interpretability, a three-class solution was selected as the best fitting model. Profile 1 mainly involved survivors of rape, which first occurred in adolescence through social relations involving alcohol, drugs, or filming. Profile 2 mainly comprised survivors of both rape and physical sexual harassment by close relations, such as family members or relatives, more than once. Profile 3 mainly comprised survivors of sexual harassment by strangers or social relations. Statistically significant differences were suggested in the psych-behavioral outcomes of the profiles compared with the non-victim group. Conclusion These findings highlight the importance of examining experiences of sexual violence in a multifaceted manner. This approach may provide more effective interventions for survivors and allow clinicians to gain an in-depth understanding of sexual victimization in children and adolescents while also increasing the understanding of potential psycho-behavioral consequences.

Purpose: This study aimed to leverage Shapley additive explanation (SHAP)-based feature engineering to predict appendix cancer. Traditional models often lack transparency, hindering clinical adoption. We propose a framework that integrates SHAP for feature selection, construction, and weighting to enhance accuracy and clinical relevance. Methods: Data from the Kaggle Appendix Cancer Prediction dataset (260,000 samples, 21 features) were used in this prediction study conducted from January through March 2025, in accordance with TRIPOD-AI guidelines. Preprocessing involved label encoding, SMOTE (synthetic minority over-sampling technique) to address class imbalance, and an 80:20 train-test split. Baseline models (random forest, XGBoost, LightGBM) were compared; LightGBM was selected for its superior performance (accuracy=0.8794). SHAP analysis identified key features and guided 3 engineering steps: selection of the top 15 features, construction of interaction-based features (e.g., chronic severity), and feature weighting based on SHAP values. Performance was evaluated using accuracy, precision, recall, and F1-score. Results: Four LightGBM model configurations were evaluated: baseline (accuracy=0.8794, F1-score=0.8691), feature selection (accuracy=0.8968, F1-score=0.8860), feature construction (accuracy=0.8980, F1-score=0.8872), and feature weighting (accuracy=0.8986, F1-score=0.8877). SHAP-based engineering yielded performance improvements, with feature weighting achieving the highest precision (0.9940). Key features (e.g., red blood cell count and chronic severity) contributed to predictions while maintaining interpretability. Conclusion The SHAP-based framework substantially improved the accuracy and transparency of appendix cancer predictions using LightGBM (F1-score=0.8877). This approach bridges the gap between predictive power and clinical interpretability, offering a scalable model for rare disease prediction. Future validation with real-world data is recommended to ensure generalizability.

For patients with edentulous maxillae, creating a prosthetic treatment plan involves considering anatomical factors, aesthetics, the patient’s financial situation, and oral hygiene capabilities. In this case, CAD-CAM technology was used to accurately plan implant placements for a full arch fixed restoration based on the design of the final prosthesis. A customized surgical guide ensured precise implant placement and a provisional restoration was created using CAD-CAM. The definitive prosthesis was then created based on the second provisional restoration that has been previously used and adjusted by the patient. This approach achieved an excellent functional and aesthetic outcome, highlighting the benefits of digital approach and its potential for further clinical applications.

Excessive wear of the teeth, which causes functional, aesthetic problems, or sensitivity symptoms, is referred to as pathological wear. If this leads to the collapse of occlusion, extensive restoration is necessary to restore function and aesthetics.When restoring pathologically worn dentition, it is essential to identify the cause of the wear before determining treatment plan to get a favorable prognosis. In this case, a patient exhibited severe tooth wear with decreased vertical dimension and clinical, radiographic examination, and medical history indicated the pathological wear caused by a combination of factors. Consequently, full-mouth rehabilitation was indicated and the vertical occlusal height was determined considering the appropriate restorative space. Based on the causes of the wear, the restoration method, materials, and occlusal pattern were selected and successfully restored to normal occlusal state through full-mouth rehabilitation with zirconia full-veneered crowns.

Purpose: . The purpose of this study is to analyze the biomechanical differences in rotation angle-torque according to the type of implant and to compare the effects of contamination and sandblasting on the removal torque value (RTV) of abutment screws. Materials and methods: . For this study, an automated device for tightening and loosening implant screws was developed, and each 15 implant-abutment complexes of external and internal connection type were prepared, divided into three groups according to the surface treatment of the screw:control group (no treatment), experimental group-1 (artificial saliva contamination and chlorhexidine (CHX) rinsing), and experimental group-2 (artificial saliva contamination, CHX rinsing, and subsequent 50 µm Al 2 O 3 sandblasting). FirstRTV was measured for each group, followed by different post-treatment procedures for the screws, and then Second-RTV was measured. During the procedure, the removal torque value and rotation angle vs. time were recorded at a 20 data/s.A standardized protocol was followed for all the tightening and loosening procedures: screw was tightened with 30 Ncm torque and maintained for 5 s, and then rotated in the reverse direction until the torque value reached 0 Ncm. After 10min of rest period, the screws were loosened to initial point. Results: . Statistical analysis of measured data revealed that the internal connection type showed significantly higher First-RTV compared to the external connection type, however, no significant differences in Second-RTV were found. Both experimental groups 1and 2 showed a decrease in RTVs for both implant types, while the control group showed a decrease in RTV only for the internal type. The internal connection type required a significantly larger rotation angle during the tightening and loosening process. Conclusion . Within the limitations of this study, both artificial saliva contamination and CHX cleansing, as well as sandblasting, decreased RTV in both internal and external connection types. Internal connections were more susceptible to the effects of contaminants.

In cases of partially edentulous patients with insufficient remaining teeth, rotational movement of the denture occurs and prognosis of the remaining teeth is uncertain when restoring with a removable partial denture. Recently, implant-assisted removable partial dentures, where a small number of implants are placed and surveyed crowns are fabricated on the implants to be used as abutments, have been suggested. In this case, the patient had only one remaining tooth in the mandible and implants were placed in both posterior regions to be used as surveyed crowns to restore the patient with an implant-assisted removable partial denture. This approach improved the support, retention, and stability of the denture, resulting in functionally and aesthetically satisfactory outcomes.

The occlusal collapse resulting from loss of posterior tooth support and attrition necessitates treatment aimed at restoring normal function and aesthetics.Particularly in cases where there is insufficient space for restoration, full mouth rehabilitation accompanied by increased vertical dimension is necessary. This case report presents a complete mouth rehabilitation of a patient with inadequate anterior restoration space due to loss of posterior tooth support, utilizing guided implant surgery, facial scan, virtual articulator, and jaw motion tracker.

The crossed occlusion is unstable, and for the treatment of such occlusal conditions, it is recommended to form a balance of occlusal force between the arch in contact with occlusal contact, to secure stable vertical support by symmetrically placing the implants in the posterior area, and it is necessary to improve the distorted occlusal plane, to have a regular check-up and to check whether the occlusal conditions are maintained stably after treatment. In this case, in order to resolve unstable occlusal condition in patient with crossed occlusion, the existing occlusal vertical dimension was maintained at the state of wearing the dentures, and the implant placement positions were planned based on the diagnostic waxup, and then the implants were placed using a surgical guides, and after the temporary prostheses stage, the final fixed prostheses were fabricated by incorporating the temporary prostheses form adapted by the patient to develop a stable vertical support, and finally the anterior maxillary region was restored with implant-supported removable partial denture. In this case, the patient adapted well without discomfort during the four-month follow-up and satisfactory aesthetic and functional clinical results were obtained, leading to this report.

Gastrointestinal stromal tumors (GISTs) are rare mesenchymal neoplasms that mainly occur in the stomach and small intestine; those arising in the esophagus are rarer. A 54-year-old woman was referred to our hospital with a one-month history of dysphagia. Esophagogastroduodenoscopy (EGD), performed approximately five months earlier, had not revealed any specific findings. However, an EGD performed in our hospital showed the presence of a round, protruding lesion (approximately 40×30 mm in size), with a normal overlying mucosal surface, 35–39 cm from the upper incisor. Chest computed tomography (CT) revealed a large esophageal mass. Enucleation was performed on the esophageal mass, and a GIST was diagnosed using immunochemical staining. Imatinib mesylate administration was initiated two months postoperatively. The patient was stable, without any evident recurrence in the 8-month postoperative follow-up EGD and chest CT examinations. Therefore, physicians should consider that patients with worsening dysphagia may have an underlying organic condition, such as an acute increase in size of an esophageal GIST, even if recent examinations were unremarkable.