• Journal of the Korean Regional Science Association
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• v.39 no.2
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• pp.47-61
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• 2023

Satisfaction on the residential environment is a major factor influencing the choice of residence and migration, and is directly related to the quality of life in the city. As online services of real estate increases, people's evaluation on the residential environment can be easily checked and it is possible to analyze their satisfaction and its determining factors based on their evaluation. This means that a larger amount of evaluation can be used more efficiently than previously used methods such as surveys. This study analyzed the residential environment reviews of about 30,000 apartment residents collected from 'Zigbang', an online real estate service in Seoul. The apartment review of Zigbang consists of an evaluation grade on a 5-point scale and the evaluation content directly described by the dweller. At first, this study labeled apartment reviews as positive and negative based on the scores of recommended reviews that include comprehensive evaluation about apartment. Next, to classify them automatically, developed a model by using Bidirectional Encoder Representations from Transformers(BERT), a deep learning-based natural language processing model. After that, by using SHapley Additive exPlanation(SHAP), extract word tokens that play an important role in the classification of reviews, to derive determining factors of the evaluation of the residential environment. Furthermore, by analyzing related keywords using Word2Vec, priority considerations for improving satisfaction on the residential environment were suggested. This study is meaningful that suggested a model that automatically classifies satisfaction on the residential environment into positive and negative by using apartment review big data and deep learning, which are qualitative evaluation data of residents, so that it's determining factors were derived. The result of analysis can be used as elementary data for improving the satisfaction on the residential environment, and can be used in the future evaluation of the residential environment near the apartment complex, and the design and evaluation of new complexes and infrastructure.

• Journal of Oriental Neuropsychiatry
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• v.33 no.1
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• pp.1-19
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• 2022

Objectives: The objective of this study was to confirm the Chiljeong (七情) characteristics of Hwa-byung patients using the core seven-emotions inventory-short form. Methods: We conducted a retrospective observational study based on the electronic medical records from a Korean medicine hospital. We included patients who were diagnosed with Hwa-byung and examined with Core Seven-Emotions Inventory-short Form (CSEI-S) during hospitalization periods. We presented the characteristics of Hwa-byung by demographic information, CSEI-S, Hwa-byung scale, and Korean Symptom Checklist 95. A correlation analysis was performed between CSEI-S and other clinical and psychological characteristics. Results: The Chiljeong characteristics of Hwa-byung were high in the order of Sorrow (悲), Thought (思), Fear (恐), Fright (驚), Depression (憂), Joy (喜), and Anger (怒). There was no significant difference between each emotion. After combined Korean medical treatment, Sorrow (悲) and Thought (思) significantly decreased. There were static correlations between sorrow (悲) and fright (驚), thought (思) and sorrow (悲), depression (憂) and sorrow (悲), depression (憂) and fright (驚), thought (思) and depression (憂), fear (恐) and fright (驚), anger (怒) and thought (思), thought (思) and fright (驚), sorrow (悲) and fear (恐). Sorrow (悲) and Hwa-byung characteristics scale showed static correlation. Joy (喜) showed a static correlation with disharmony between the heart and kidney scores of the Hwa-byung pattern identification. Between KSCL-95 and CSEI-S, static correlation appeared in depression (憂) with depression, anxiety, and sleep problem scale, sorrow (悲) with depression and anxiety, fright (驚) with depression and obsessive symptoms. Conclusions: Despite several limitations due to the study design and small sample size, this research successfully used CSEI-S to study the Chiljeong (七情) characteristics of Hwa-byung for the first time.

• Journal of the Korean Orthopaedic Association
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• v.54 no.2
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• pp.120-126
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• 2019

Purpose: The efficacy of periarticular multimodal drug injection and adductor canal block after a medial opening-wedge high tibial osteotomy was compared in terms of the postoperative pain level. Materials and Methods: From November 2016 to March 2017, 60 patients underwent a medial opening-wedge high tibial osteotomy under spinal anesthesia. Preemptive analgesic medication, intravenous patient controlled anesthesia were used for pain control in all patients. Thirty patients received a periarticular multimodal drug injection (group I), and 30 patients received an adductor canal block (group II). These two groups were compared regarding the postoperative pain level, frequency of additional tramadol injections, total amount of patient-controlled analgesia, and number of times that the patients pushed the patient-controlled analgesia button at each time interval. Results: The visual analogue scale scores over the two-week postoperative period showed no statistical significance. The frequency of additional tramadol hydrochloride injections was similar in the two groups over time. The mean number of times that patients pushed the patient-controlled analgesia button was similar in two groups over time. The total amount of patient-controlled analgesia was similar in the two groups over time. Conclusion: This study shows that intraoperative periarticular multimodal drug injections and adductor canal block may have a similar effect on postoperative pain control in patients who have undergone a medial opening-wedge high tibial osteotomy for unicompartmental osteoarthritis of the knee.

• Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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• v.7 no.5
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• pp.369-379
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• 2017

The purpose of this study was to improve an university tutoring program qualitatively, evaluating and analyzing the case of tutoring program that students attended in order to strengthen their learning competences through CIPP(Context-Input-Process-Product). To do this, a tutoring survey with satisfaction survey was carried out for 90 students who participated in the final reporting meeting among those who joined the tutoring program at the second semester of 2016 year at the B university. In addition, a tutor interim checking workshop was held for the 49 tutors and qualitative analyses were carried out on the reflection papers submitted by students who were involved in the tutoring program. Tutoring program assessments were carried out in terms of several steps and their view points. They were the necessity of tutoring program for the context evaluation, the appropriacy of human-material resources and program planning for the input evaluation, the teaching and learning activity for the process evaluation and the influence, effectiveness, sustainability, transferability for the product evaluation. Survey results showed that the average scores were presented 4.05 for the context evaluation, 3.88 for the input evaluation, 4.08 for the process evaluation and 3.92 for the product evaluation respectively. Similar analysis results were represented from the tutor workshops and the reflection paper analysis results. Learners were satisfied with all the evaluation items, scoring more than the average level. However, it was necessary for the evaluation items that were rated low range to improve the program through detail modification plans.

• Journal of Advanced Technology Convergence
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• v.2 no.2
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• pp.23-30
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• 2023

This study is a descriptive research study conducted to find out the level of perception of the good death among nursing students and compare sub-factors among the perceptions of a good death. As for the research method, 102 people who explained the purpose of the study and agreed to participate were conveniently recruited. As a research tool, 'Measure of concept of a Good Death' by Schwartz et al. (2003) was translated by Lee (2017), and the research was conducted through online. For data analysis, statistical techniques such as descriptive statistics, frequency analysis, t-test, and one-way ANOVA of the IBM SPSS Statistics 26 program were used. Factors showing average differences in scores for each of the three sub-factors of good death awareness were derived from the experience of clinical practice. The mean of good death (3.13±0.36 points) of nursing students who experienced clinical practice was statistically significantly higher than that of students without clinical practice experience (2.90±0.31 points) (t=3.156, p=.002). In particular, the mean of good death for 'closure' was statistically significantly higher for those with experience in clinical practice (3.46±0.39 points) than those without experience (3.16±0.37 points) (t=3.476, p=.001). Through this study, it was confirmed that nursing students' perception of a good death differed depending on whether or not they were in clinical practice. The results of this study are expected to provide basic data for the establishment of effective educational strategies for the perception of good death in nursing students.

• Journal of the Korean Society for information Management
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• v.40 no.2
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• pp.115-135
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• 2023

The purpose of this study is to assess the effectiveness of using deep learning language models to extract references automatically and create a reference database for research reports in an efficient manner. Unlike academic journals, research reports present difficulties in automatically extracting references due to variations in formatting across institutions. In this study, we addressed this issue by introducing the task of separating references from non-reference phrases, in addition to the commonly used metadata extraction task for reference extraction. The study employed datasets that included various types of references, such as those from research reports of a particular institution, academic journals, and a combination of academic journal references and non-reference texts. Two deep learning language models, namely RoBERTa+CRF and ChatGPT, were compared to evaluate their performance in automatic extraction. They were used to extract metadata, categorize data types, and separate original text. The research findings showed that the deep learning language models were highly effective, achieving maximum F1-scores of 95.41% for metadata extraction and 98.91% for categorization of data types and separation of the original text. These results provide valuable insights into the use of deep learning language models and different types of datasets for constructing reference databases for research reports including both reference and non-reference texts.

• 한국정보교육학회:학술대회논문집
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• 2021.08a
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• pp.335-340
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• 2021

This study conducted research on creating an environment for maker education programs for robot and SW education, development and application of maker education programs for low-grade elementary school students in farming and fishing villages. Based on the preceding maker education model, the OMCSI model was developed for the lower grade level of elementary school, and based on this, five WeDo-utilized elementary maker education programs were developed. From April 1, 2020 to October 30, 2020, the results of applying the elementary school maker education program using WeDo Robot 2.0 to 10 second graders of 10 Elementary School in Gyeongsangnam-do are as follows. The average increased by 3.40 points (t=-2.378, p=0.034) and the average increased by 3.30 points (t=-2.329, p=0.040). The average was also increased by 3.40 points (t=-2.458, p=0.038). Finally, it rose to 3.70 points (t=-2.449, p=0.037) for its reasoning ability. That is, all four sub-elements of computing thinking had a significant probability of 0.04, indicating statistical significant differences between scores of pre-post computing thinking. Therefore, the Elementary Maker Education Program using WeDo robots has worked very effectively to improve students' computing thinking skills.

• The Journal of the Society of Stroke on Korean Medicine
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• v.15 no.1
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• pp.39-49
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• 2014

This report is about a case of an ataxia patient with sensory loss diagnosed with thalamic Infarction. The patient had symtoms of gait disturbances and dysmetria. We used Korean medicine treatment modalities including acupunture, electroacupuncture, moxibustion and herb medicines. The improvement of ataxia was evaluated by International Cooperative Ataxia Rating Scale and Balance master^Ⓡ system. After treatment, decreased scores of International Cooperative Ataxia Rating Scale and change of the trace of Balance master^Ⓡ system showed that symtoms of ataxia were improved. Sensory deficits and other conditions were also getting better. This report suggests that Korean medicine could have a therapeutic effect for Thalamic ataxia.

• The Journal of the Society of Stroke on Korean Medicine
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• v.6 no.1
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• pp.25-32
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• 2005

Background and purpose: Arterial stiffness is an important, independent determinant of cardiovascular risk. Pulse wave velocity (PWV) has been used as a valuable index of arterial stiffness and as a surrogate marker for atherosclerosis. The Framingham risk score was developed using categorized risk factors to predict the 10 year absolute risk of developing coronary heart disease (CHD). This algorithm is established using recommended guidelines for blood pressure, total cholesterol, and high density lipoprotein cholesterol in addition to age, smoking history and history of diabetes. Tongxinluo(TXL) has been shown to have anti hyperlipidemic activity and anti atherogenic effects. To determine its efficacy and safety, we examined whether TXL improves PWV, ABI, Framingham score, blood pressure, and lipid profile in high risk group of cardiovascular diseases. Subjects and methods: 49 subjects with the high risk of cardiovascular diseases were recruited. Subjects were administered TXL with the dose of 1110mg three times a day for 8 weeks. baPWV, ABI, Framingham risk score, Blood pressure and serum lipid profile were assessed at baseline and after 4 and 8weeks. Results: Total cholesterol, LDL cholesterol, triglyceride, total lipid and phospolipid significantly decreased after 4 weeks of medication. Total cholesterol, total lipid and phospolipid significantly decreased after 8 weeks of medication. There were no significant changes in Framingham risk scores, ABI, PWV and blood pressure. On safety assessment, there were no adverse effects, hepatic or renal toxicity. Conclusion: We suggest that TXL is a safe and useful herbal medicine for hyperlipidemia and as for anti-atherognic effects, further research would be necessary.

• Journal of Music and Human Behavior
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• v.19 no.2
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• pp.55-80
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• 2022

This study aimed to examine the effects of songwriting on the self-acceptance of adolescent in palliative care. Three participants were recruited from a university hospital in an urban area in South Korea. The songwriting intervention was conducted in six sessions, and each session was composed of an introduction, song writing and wrap-up. Participants were asked to complete the Unconditional Self-Acceptance Questionnaire (USAQ) before and after the intervention. Their verbal expressions and written song lyrics observed during the intervention were also measured. The results showed that the USAQ scores increased after the intervention, indicating the improvement in their acceptance of the self without judgement or high reactivity to feedback. In addition, the participants exhibited greater recognition of their emotions and acceptance of themselves as they are. They were also better able to discover internal resources and psychological competence. The participants reported that they could more freely express their emotions through song writing and that recording the songs they created was a means of communicating their feelings to others. Based on this study, it is expected that adolescents in palliative care will be able to experience self-acceptance through such brief song writing interventions.