• Journal of The Korean Society of Integrative Medicine
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• v.11 no.2
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• pp.197-206
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• 2023

Purpose : Establishing transcultural self-efficacy is crucial to providing quality nursing care in various clinical settings and adapting to changing roles in different situations. The purpose of this study is to explore the degree of professional identity, satisfaction with clinical practice, and transcultural self-efficacy, as well as the factors influencing transcultural self-efficacy among nursing students, and to provide basic data to increase transcultural self-efficacy. Methods : The study utilized questionnaires that include general characteristics, transcultural self-efficacy, professional identity, and satisfaction of clinical practice for nursing students. This research involved 178 nursing students in G city. The data collected from September 12, 2022 to September 22, 2022. The study was analyzed using the SPSS 23.0 program. The correlation among professional identity, satisfaction of clinical practice, and transcultural self-efficacy was analyzed by Pearson's correlation coefficients, and it was analyzed using multiple regression to figure out factors influencing transcultural self-efficacy. Results : The transcultural self-efficacy score was above the middle level and differed according to the transcultural self-efficacy was showed significantly positive correlation with academic grade (F=6.57, p<.001), having foreign friends (t=-2.34, p=.015), interpersonal relations (F=5.74, p=.001). Transcultural self-efficacy was a significant positive correlation with professional identity (r=.59, p<.001), satisfaction of clinical practice (r=.68, p<.001). As a result of regression analysis, it was confirmed that satisfaction of clinical practice (ß=.42, p<.001) and professional identity (ß=.31, p<.001) were factors that influence nursing students' transcultural self-efficacy ; this model could explain 60 %. Conclusion : Satisfaction with clinical practice and professional identity are the main factors influencing transcultural self-efficacy among nursing students. Nursing students are encouraged to develop transcultural self-efficacy by focusing on improving their satisfaction with clinical practice and professional identity. Further research is required to determine the various factors affecting transcultural self-efficacy among nursing students.

• Journal of Ginseng Research
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• v.47 no.3
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• pp.385-389
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• 2023

Background: Ginseng has been used as a traditional medicine for treatment of many diseases and for general health maintenance. Previously, we showed that ginseng did not demonstrate estrogenic property in ovariectomized mouse model. However, it is still possible that disruption of steroidogenesis leading to indirect hormonal activity. Methods: The hormonal activities were examined in compliance with OECD guidelines for detecting endocrine disrupting chemicals: test guideline (TG) No. 456 (an in vitro assay method for detecting steroidogenesis property) and TG No. 440 (an in vivo short-term screening method for chemicals with uterotrophic property). Results: Korean Red Ginseng (KRG) and ginsenosides Rb1, Rg1, and Rg3 did not interfere with estrogen and testosterone hormone synthesis as examined in H295 cells according to TG 456. KRG treatment to ovariectomized mice did not show a significant change in uterine weight. In addition, serum estrogen and testosterone levels were not change by KRG intake. Conclusion: These results clearly demonstrate that there is no steroidogenic activity associated with KRG and no disruption of the hypothalamic-pituitary-gonadal axis by KRG. Additional tests will be performed in pursuit of cellular molecular targets of ginseng to manifest mode of action.

• Journal of Ginseng Research
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• v.47 no.3
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• pp.420-428
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• 2023

Background: Ginsenoside F2 (GF2), a minor component of Panax ginseng, has been reported to possess a wide variety of pharmacological activities. However, its effects on glucose metabolism have not yet been reported. Here, we investigated the underlying signaling pathways involved in its effects on hepatic glucose. Methods: HepG2 cells were used to establish insulin-resistant (IR) model and treated with GF2. Cell viability and glucose uptake-related genes were also examined by real-time PCR and immunoblots. Results: Cell viability assays showed that GF2 up to 50 μM did not affect normal and IR-HepG2 cell viability. GF2 reduced oxidative stress by inhibiting phosphorylation of the mitogen-activated protein kinases (MAPK) signaling components such as c-Jun N-terminal kinase (JNK), extracellular signal-regulated kinase 1/2 (ERK1/2), and p38 MAPK, and reducing the nuclear translocation of NF-κB. Furthermore, GF2 activated PI3K/AKT signaling, upregulated the levels of glucose transporter 2 (GLUT-2) and GLUT-4 in IR-HepG2 cells, and promoted glucose absorption. At the same time, GF2 reduced phosphoenolpyruvate carboxykinase and glucose-6-phosphatase expression as well as inhibiting gluconeogenesis. Conclusion: Overall, GF2 improved glucose metabolism disorders by reducing cellular oxidative stress in IR-HepG2 cells via MAPK signaling, participating in the PI3K/AKT/GSK-3β signaling pathway, promoting glycogen synthesis, and inhibiting gluconeogenesis.

• Journal of The Korean Society of Integrative Medicine
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• v.11 no.4
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• pp.281-289
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• 2023

Purpose : In this study, we aimed to determine how frequencies different of repetitive transcranial magnetic stimulation applied to the less affected contalesional corticomotor area affect upper extremity motor function in patients with acute stroke within 3 months of onset. By doing so, we aimed to propose a new method of rTMS intervention based on the degree of damage and recovery status of the patient, rather than the generalized rTMS intervention that has been used uniformly. Methods : The rTMS intervention was applied on the contralesional side of the cerebral hemisphere damage. 15 subjects in the HF-rTMS group, 12 subjects in the LF-rTMS group, and 14 subjects in the SF-rTMS group were randomized to receive the rTMS intervention in each group for a total of 10 sessions on five consecutive weekdays for two weeks, and underwent FMA-U to determine changes in upper extremity function following the intervention in each group. FMA-U was performed within 24 hours before and after the rTMS intervention. Results : When the FMA-U was performed to determine the pre- and post-intervention changes in upper extremity motor function within the groups, no statistically significant differences were found in the SF-rTMS group before and after the intervention, but significant statistical differences were found in the HF-rTMS group (p=.006) and the LF-rTMS group (p=.020), with greater significance in the HF-rTMS group than the LF-rTMS group. Conclusion : This study confirmed that compensatory action by activating the less affected contralesional corticomotor area based on the bimodal balance-recovery model can support upper extremity recovery patients with acute stroke within 3 months of onset, depending on the degree of damage level and recovery status. Therefore, the results of the contralesional HF-rTMS application in this study may provide a basis for proposing a new rTMS intervention for upper extremity recovery in stroke patients.

• Journal of The Korean Society of Integrative Medicine
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• v.12 no.2
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• pp.155-166
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• 2024

Purpose : This study aims to identify key factors for predicting dropout risk at the university level and to provide a foundation for policy development aimed at dropout prevention. This study explores the optimal machine learning algorithm by comparing the performance of various algorithms using data on college students' dropout risks. Methods : We collected data on factors influencing dropout risk and propensity were collected from N University. The collected data were applied to several machine learning algorithms, including random forest, decision tree, artificial neural network, logistic regression, support vector machine (SVM), k-nearest neighbor (k-NN) classification, and Naive Bayes. The performance of these models was compared and evaluated, with a focus on predictive validity and the identification of significant dropout factors through the information gain index of machine learning. Results : The binary logistic regression analysis showed that the year of the program, department, grades, and year of entry had a statistically significant effect on the dropout risk. The performance of each machine learning algorithm showed that random forest performed the best. The results showed that the relative importance of the predictor variables was highest for department, age, grade, and residence, in the order of whether or not they matched the school location. Conclusion : Machine learning-based prediction of dropout risk focuses on the early identification of students at risk. The types and causes of dropout crises vary significantly among students. It is important to identify the types and causes of dropout crises so that appropriate actions and support can be taken to remove risk factors and increase protective factors. The relative importance of the factors affecting dropout risk found in this study will help guide educational prescriptions for preventing college student dropout.

• Journal of Microbiology and Biotechnology
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• v.33 no.11
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• pp.1420-1427
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• 2023

The forkhead domain genes are important for development and morphogenesis in fungi. Six forkhead genes fkhA-fkhF have been found in the genome of the model filamentous Ascomycete Aspergillus nidulans. To identify the fkh gene(s) associated with fungal development, we examined mRNA levels of these six genes and found that the level of fkhB and fkhD mRNA was significantly elevated during asexual development and in conidia. To investigate the roles of FkhB and FkhD, we generated fkhB and fkhD deletion mutants and complemented strains and investigated their phenotypes. The deletion of fkhB, but not fkhD, affected fungal growth and both sexual and asexual development. The fkhB deletion mutant exhibited decreased colony size with distinctly pigmented (reddish) asexual spores and a significantly lower number of conidia compared with these features in the wild type (WT), although the level of sterigmatocystin was unaffected by the absence of fkhB. Furthermore, the fkhB deletion mutant produced sexual fruiting bodies (cleistothecia) smaller than those of WT, implying that the fkhB gene is involved in both asexual and sexual development. In addition, fkhB deletion reduced fungal tolerance to heat stress and decreased trehalose accumulation in conidia. Overall, these results suggest that fkhB plays a key role in proper fungal growth, development, and conidial stress tolerance in A. nidulans.

• Journal of The Korean Society of Integrative Medicine
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• v.12 no.3
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• pp.131-142
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• 2024

Purpose : This study explores the effects of dental hygiene students' ethical propensity and self-esteem on their awareness of protecting patient medical information and how these factors interact to influence their professional ethical consciousness. The aim of this study is to highlight the role of university education in shaping the ethical values of dental hygienists. Methods : Between June 1 and November 30, 2023, 210 dental hygiene students in Busan Metropolitan City participated in this study. After providing consent, the participants completed a self-administered questionnaire comprising 69 questions. The questions covered general characteristics (8 questions), ethical propensity (20 questions), self-esteem (10 questions), and awareness of patient medical information protection (31 questions), all measured on a five-point Likert scale. Results : Correlation analysis indicated that idealism had a significant positive correlation with relativism (r=0.35, p<.001), self-esteem (r=0.28, p<.001), and awareness of patient medical information protection (r=0.46, p<.001). Relativism had a significant positive correlation with self-esteem (r=0.17, p<0.05) and awareness of patient medical information protection (r=0.23, p<.01). Self-esteem had a significant positive correlation with awareness of patient medical information protection (r=0.34, p<.001). Multilinear regression analysis revealed that idealism (ß=0.38) and self-esteem (ß=0.22) significantly increased the level of awareness of patient medical information protection. However, relativism did not have a significant impact on the level of awareness of patient medical information protection. The model explained 26.0 % of the variance (24.9 % when corrected). Conclusion : Higher levels of idealism and self-esteem correlate with greater awareness of patient medical information protection. In addition to appropriate program development and strategies, university curricula for dental hygiene students should include systematic and continuous training to enhance the values of ethical awareness, idealism, and self-esteem.

• Animal cells and systems
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• v.14 no.1
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• pp.11-15
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• 2010

Long-term working memory (LTWM) is a subdivision concept of working memory and indicates the enhancement of performance in a working memory task. LTWM has been shown in humans who have been engaged in a specific task requiring working memory over a long time. However, there is very little understanding of the exact mechanism of LTWM because of limitations of experimental methods in human studies. We have modified the standard T-maze task, which is used to test working memory in mice, to demonstrate LTWM in an animal model. We observed an enhancement of performance by repeated experience with the same working memory load in mice, which can be regarded as an LTWM. This effect seems to depend on the condition wherein a delay was given. This task may be a good experimental protocol to assess LTWM in animal studies.

• Biotechnology and Bioprocess Engineering:BBE
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• v.10 no.5
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• pp.408-417
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• 2005

Increasing numbers of value added chemicals are being produced using microbial fermentation strategies. Computational modeling and simulation of microbial metabolism is rapidly becoming an enabling technology that is driving a new paradigm to accelerate the bioprocess development cycle. In particular, constraint-based modeling and the development of genome-scale models of industrial microbes are finding increasing utility across many phases of the bioprocess development workflow. Herein, we review and discuss the requirements and trends in the industrial application of this technology as we build toward integrated computational/experimental platforms for bioprocess engineering. Specifically we cover the following topics: (1) genome-scale models as genetically and biochemically consistent representations of metabolic networks; (2) the ability of these models to predict, assess, and interpret metabolic physiology and flux states of metabolism; (3) the model-guided integrative analysis of high throughput 'omics' data; (4) the reconciliation and analysis of on- and off-line fermentation data as well as flux tracing data; (5) model-aided strain design strategies and the integration of calculated biotransformation routes; and (6) control and optimization of the fermentation processes. Collectively, constraint-based modeling strategies are impacting the iterative characterization of metabolic flux states throughout the bioprocess development cycle, while also driving metabolic engineering strategies and fermentation optimization.

• Journal of Broadcast Engineering
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• v.25 no.3
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• pp.386-398
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• 2020

We developed an integrative annotation program that can perform data labeling process for deep learning models in object recognition. The program utilizes the basic GUI library of Python and configures crawler functions that allow data collection in real time. Retinanet was used to implement an automatic annotation function. In addition, different data labeling formats for Pascal-VOC, YOLO and Retinanet were generated. Through the experiment of the proposed method, a domestic vehicle image dataset was built, and it is applied to Retinanet and YOLO as the training and test set. The proposed system classified the vehicle model with the accuracy of about 94%.