Rapid developments in technology as part of the Fourth Industrial Revolution have created a demand for educational technology (EdTech) and a gradual transition from traditional teaching and learning to EdTech-assisted learning in medical education. EdTech is a portmanteau (blended word) combining the concepts of education and technology, and it refers to various attempts to solve education-related problems through information and communication technology. The aim of this study was to explore the use of key EdTech applications in medical education programs. A scoping review was conducted by searching three databases (PubMed, CINAHL, and Educational Sources) for articles published from 2000 to June 2021. Twenty-one studies were found that presented relevant descriptions of the effectiveness of EdTech in medical education programs. Studies on the application and effectiveness of EdTech were categorized as follows: (1) artificial intelligence with learner-adaptive evaluation and feedback, (2) augmented/virtual reality for improving learning participation and academic achievement through immersive learning, and (3) social media/social networking services with learner-directed knowledge generation, sharing, and dissemination in medical communities. Although this review reports the effectiveness of EdTech in various medical education programs, the number of studies and the validity of the identified research designs are insufficient to confirm the educational effects of EdTech. Future studies should utilize suitable research designs and examine the instructional objectives achievable by EdTech-based applications to strengthen the evidence base supporting the application of EdTech by medical educators and institutions.

Background: Pathological gambling is associated with several adverse outcomes, including depression, suicide, divorce, loss of employment, and debt. However, studies on the prevalence of pathological gambling are limited in South Korea. We assessed the prevalence of pathological gambling and its related factors. Methods: Data were obtained from 500 community-dwelling adults aged 20–59 years living in Jeju, Korea. This study assessed pathological/problem gambling using the Korean version of the Diagnostic Interview Schedule. We used the Patient Health Questionnaire-9 to obtain information about depression. Results: Lifetime prevalence rates of pathological gambling and problem gambling were 1.2% and 7.2%, respectively. The association between pathological/problem gambling and depression was highly significant (p<0.001). Multivariate analysis revealed significant relationships between men gender (odds ratio [OR], 2.62; 95% confidence interval [CI], 1.18–5.84; p=0.018) and depression (OR, 2.84; 95% CI, 1.42–5.68; p<0.001) and pathological/problem gambling. Conclusion Pathological/problem gambling is highly associated with depression, indicating that clinicians should carefully evaluate and treat depression among gamblers.

Background: Unemployment and the consequential mental health issues are emerging as a major social concern. This study aimed to evaluate factors associated with depression and suicidality among unemployed individuals in the Jeju area. Methods: Data from 624 unemployed adults who participated in a community survey were analyzed. Self-report questionnaires were completed by all participants; demographic variables and the Patient Health Questionnaire-9 were used to assess depression. The Mini International Neuropsychiatric Interview suicidality module was used to obtain information regarding suicidal ideation, suicide plans, and suicide attempts. Results: The prevalence of depressive symptoms among the unemployed population in Jeju area was 28.4%. Factors associated with suicidality included age, gender, unemployment period, job application period, and depression. Furthermore, unemployed participants who had an opportunity to receive vocational education had fewer symptoms of depression regardless of the number of vocational education sessions. A multivariate regression model demonstrated that depression (β = 0.51, p<0.001) was significantly correlated with suicidality. Conclusion The findings advance our understanding of the relationship between unemployment and psychological factors such as depression symptoms and suicidality. Further studies are required to determine the underlying mechanisms to aid in the development of preventive and treatment strategies.

This study aimed to evaluate the effect of the TouchCare system, a digital health management system utilizing the internet of things (IoT), based on the usage levels of older adults. Methods: This is a secondary analysis of data from a quasi-experimental study examining the effects of an IoT-based digital healthcare system. Participants were equipped with the TouchCare application, a touch-tag, and context-aware artificial intelligence. Data on cognitive function, frailty, depressive symptoms, nutritional status, and fall efficacy were collected at baseline and after six months of using the system. The participants were divided into a high-engagement group (n = 22) and a low-engagement group (n = 24) based on how many days they used the application during the study. We used descriptive statistics, the paired t-test, the independent-samples t-test, and two-way mixed analysis of variance. Results: In total, 46 participants completed the evaluations (mean age, 76.6 years). Two-way mixed analysis of variance revealed no significant group-by-time interaction for cognitive function (p = .184), frailty (p = .338), depressive symptoms (p = .543), and nutritional status (p = .589). There was no significant difference in fall efficacy between the two groups (p = .091). The high-engagement group exhibited significant improvements in visuospatial and executive functions on the Montreal Cognitive Assessment (p = .029). Conclusion: The IoT-based mobile health management application demonstrated benefits in improving cognitive health among older adults. The findings suggest that active engagement with healthcare technology can positively affect health in this population, emphasizing the need for continuous support from nurses as health providers.

This study aimed to evaluate the effect of the TouchCare system, a digital health management system utilizing the internet of things (IoT), based on the usage levels of older adults. Methods: This is a secondary analysis of data from a quasi-experimental study examining the effects of an IoT-based digital healthcare system. Participants were equipped with the TouchCare application, a touch-tag, and context-aware artificial intelligence. Data on cognitive function, frailty, depressive symptoms, nutritional status, and fall efficacy were collected at baseline and after six months of using the system. The participants were divided into a high-engagement group (n = 22) and a low-engagement group (n = 24) based on how many days they used the application during the study. We used descriptive statistics, the paired t-test, the independent-samples t-test, and two-way mixed analysis of variance. Results: In total, 46 participants completed the evaluations (mean age, 76.6 years). Two-way mixed analysis of variance revealed no significant group-by-time interaction for cognitive function (p = .184), frailty (p = .338), depressive symptoms (p = .543), and nutritional status (p = .589). There was no significant difference in fall efficacy between the two groups (p = .091). The high-engagement group exhibited significant improvements in visuospatial and executive functions on the Montreal Cognitive Assessment (p = .029). Conclusion: The IoT-based mobile health management application demonstrated benefits in improving cognitive health among older adults. The findings suggest that active engagement with healthcare technology can positively affect health in this population, emphasizing the need for continuous support from nurses as health providers.

This study aimed to evaluate the effect of the TouchCare system, a digital health management system utilizing the internet of things (IoT), based on the usage levels of older adults. Methods: This is a secondary analysis of data from a quasi-experimental study examining the effects of an IoT-based digital healthcare system. Participants were equipped with the TouchCare application, a touch-tag, and context-aware artificial intelligence. Data on cognitive function, frailty, depressive symptoms, nutritional status, and fall efficacy were collected at baseline and after six months of using the system. The participants were divided into a high-engagement group (n = 22) and a low-engagement group (n = 24) based on how many days they used the application during the study. We used descriptive statistics, the paired t-test, the independent-samples t-test, and two-way mixed analysis of variance. Results: In total, 46 participants completed the evaluations (mean age, 76.6 years). Two-way mixed analysis of variance revealed no significant group-by-time interaction for cognitive function (p = .184), frailty (p = .338), depressive symptoms (p = .543), and nutritional status (p = .589). There was no significant difference in fall efficacy between the two groups (p = .091). The high-engagement group exhibited significant improvements in visuospatial and executive functions on the Montreal Cognitive Assessment (p = .029). Conclusion: The IoT-based mobile health management application demonstrated benefits in improving cognitive health among older adults. The findings suggest that active engagement with healthcare technology can positively affect health in this population, emphasizing the need for continuous support from nurses as health providers.

This study aimed to evaluate the effect of the TouchCare system, a digital health management system utilizing the internet of things (IoT), based on the usage levels of older adults. Methods: This is a secondary analysis of data from a quasi-experimental study examining the effects of an IoT-based digital healthcare system. Participants were equipped with the TouchCare application, a touch-tag, and context-aware artificial intelligence. Data on cognitive function, frailty, depressive symptoms, nutritional status, and fall efficacy were collected at baseline and after six months of using the system. The participants were divided into a high-engagement group (n = 22) and a low-engagement group (n = 24) based on how many days they used the application during the study. We used descriptive statistics, the paired t-test, the independent-samples t-test, and two-way mixed analysis of variance. Results: In total, 46 participants completed the evaluations (mean age, 76.6 years). Two-way mixed analysis of variance revealed no significant group-by-time interaction for cognitive function (p = .184), frailty (p = .338), depressive symptoms (p = .543), and nutritional status (p = .589). There was no significant difference in fall efficacy between the two groups (p = .091). The high-engagement group exhibited significant improvements in visuospatial and executive functions on the Montreal Cognitive Assessment (p = .029). Conclusion: The IoT-based mobile health management application demonstrated benefits in improving cognitive health among older adults. The findings suggest that active engagement with healthcare technology can positively affect health in this population, emphasizing the need for continuous support from nurses as health providers.

Basal-type breast cancers are among the most aggressive and deadly breast cancer subtypes, displaying a high metastatic ability associated with mesenchymal features. However, the molecular mechanisms underlying the maintenance of mesenchymal phenotypes of basal-type breast cancer cells remain obscure. Here, we report that KRAS is a critical regulator for the maintenance of mesenchymal features in basal-type breast cancer cells. KRAS is preferentially activated in basal-type breast cancer cells as compared with luminal type. By loss and gain of KRAS, we found that KRAS is necessary and sufficient for the maintenance of mesenchymal phenotypes and metastatic ability through SLUG expression. Taken together, this study demonstrates that KRAS is a critical regulator for the metastatic behavior associated with mesenchymal features of breast cancer cells, implicating a novel therapeutic target for basal-type breast cancer.
Animals ; Breast Neoplasms/*genetics/metabolism/pathology ; Cell Line, Tumor ; Cell Transformation, Neoplastic/genetics/metabolism ; Disease Models, Animal ; Epithelial-Mesenchymal Transition/*genetics ; Female ; Gene Expression Regulation, Neoplastic ; Gene Knockdown Techniques ; Heterografts ; Humans ; Neoplasm Invasiveness ; Neoplasm Metastasis ; Phenotype ; Proto-Oncogene Proteins/*genetics/metabolism ; *Transcriptional Activation ; ras Proteins/*genetics/metabolism

Objectives: ：Childhood/adolescent-onset of bipolar disorder presents functional impairments on emotional, academic, and social aspects. These impairments could continue into adulthood. However, there are few studies comparing cognitive function between childhood/adolescent- and adult-onset using psychological test. This study aims to improve understanding of childhood/adolescent-onset of bipolar disorder by comparing differences in cognitive function, clinical and demographic features between the two groups. Methods: ：This study was conducted on 145 patients diagnosed with bipolar disorder type I, II, and other specified bipolar disorder by DSM 5 at the time of discharge from 2016 to 2019 at the Department of Psychiatry, Pusan National University Yangsan Hospital. Demographic information, clinical data, and results of psychological tests (K-WISC-IV, K-WAIS-IV) were collected and reviewed. Results: ：Childhood/adolescent-onset group was significantly low in total potential IQ and in language understanding than adult-onset group (p=0.008 and p=0.013). The childhood/adolescent group had significantly more psychiatric comorbidities than the adult group (p<0.001). The average number of prescribed antipsychotic agents was 1.18 (SD= ±0.64) in the childhood/adolescent group, and 1.78 (SD=±0.82) in the adult group. The difference was statistically significant (p<0.001). Conclusion ：Patients with childhood/adolescent-onset bipolar disorder have lower total potential IQ and language understanding comparing patients with adult-onset bipolar disorder. This highlights the importance of conducting a well-designed prospective study to find out more about the characteristics of childhood/adolescent-onset bipolar disorder.

BACKGROUND/OBJECTIVES: The objective of this study was to evaluate the protective effect of black rice extract (BRE) on tert-butyl hydroperoxide (TBHP)-induced oxidative injury in HepG2 cells. MATERIALS/METHODS: Methanolic extract from black rice was evaluated for the protective effect on TBHP-induced oxidative injury in HepG2 cells. Several biomarkers that modulate cell survival and death including reactive oxygen species (ROS), caspase-3 activity, and related cellular kinases were determined. RESULTS: TBHP induced cell death and apoptosis by a rapid increase in ROS generation and caspase-3 activity. Moreover, TBHP-induced oxidative stress resulted in a transient ERK1/2 activation and a sustained increase of JNK1/2 activation. While, BRE pretreatment protects the cells against oxidative stress by reducing cell death, caspase-3 activity, and ROS generation and also by preventing ERKs deactivation and the prolonged JNKs activation. Moreover, pretreatment of BRE increased the activation of ERKs and Akt which are pro-survival signal proteins. However, this effect was blunted in the presence of ERKs and Akt inhibitors. CONCLUSIONS: These results suggest that activation of ERKs and Akt pathway might be involved in the cytoprotective effect of BRE against oxidative stress. Our findings provide new insights into the cytoprotective effects and its possible mechanism of black rice against oxidative stress.
Apoptosis ; Biomarkers ; Caspase 3 ; Cell Death* ; Cell Survival ; Hep G2 Cells* ; Methanol ; Oxidative Stress ; Phosphotransferases ; Reactive Oxygen Species ; tert-Butylhydroperoxide