• The Journal of the Korea Contents Association
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• v.22 no.7
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• pp.676-683
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• 2022

Minimizing patient movement during CT-guided lung biopsy is an important factor in the procedure. To minimize movement, a vacuum cushion was used to evaluate its effectiveness. The subjects of this study were 116 patients aged 40 years or older who had good coordination with postural fixation and breathing control. Posture measurements were performed in the supine position, prone position, oblique position, and lateral position according to each position of the lung lesion biopsy lesion. Measurement positions were measured in the anterior, posterior, right, and left positions based on the anatomical posture. In the prone position, the mean difference between the non-use and the use of the posterior was 1.7905, and t=2.913 (p<0.01), and the mean difference between the non-use/use was statistically significant. The difference between the unused and used averages of left was 2.4105, and the difference between the left averages was also significant with t=3.684 (p<0.01). The difference between the unused and used averages of the right was 2.3263, with t=3.791 (p<0.01). The mean difference between unused and used is statistically significant. As a result of statistical analysis, the biopsy of the lung lesion using a fixation device showed less movement in all postures. It is considered that it is meaningful in that it is possible to conduct a more accurate biopsy procedure and minimize the patient's posture movement by using a fixation device during the CT-guided biopsy of the lung lesion.

• Journal of Korean Physical Therapy Science
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• v.30 no.1
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• pp.10-22
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• 2023

Background: The purpose of this study was to investigate the effect of brain education-based exercise and KPEM manual therapy integrated program on the sleep and quality of life of cancer patients. Design: Seventy subjects who were diagnosed with cancer and were undergoing treatment volunteered to participate in this study. All subjects used a nonequivalent control group pretest-posttest design for either the experimental group or the control group. In the final analysis, there were 25 subjects in the experimental group and 18 subjects in the control group. Methods: For 12 weeks, the experimental group performed brain education-based exercise (20 minutes) and KPEM manual therapy (50 minutes), and the control group performed basic physical therapy and autonomous exercise. For evaluation, the Korean version of the Pittsburgh Sleep Quality Index (PSQI-K) and the quality of life index were measured after intervention using the European Organization for Research and Treatment of Cancer (EORTC-3.0Ver). Effect between groups, time effect over time, and group^*time interaction were analyzed through a pre-test before and after the 12-week intervention period, and repeated measure ANOVA after 12 weeks of the integrated program intervention. All statistical significance levels were set at α=.05. Results: The PSQI in the time effect (p=.001) and the group^*time interaction (p<.001) were statistically significant. In terms of EORTC, QL2 and PF2 were significant in time effect (p=.024; p=.021) and group^*time interaction (p=.007; p=.021), whereas in RF2, significance was only found in group^*time interaction (p=.028). In symptom indicators, time effect was the only significant factor in FA, SL, AP, and CO, respectively (p=.002; p=.028; p=.041; p =.005) and in DY, there were significant differences in the time effect (p=.016) and group^*time interaction (p=.002). Conclusion: The brain education-based exercise and KPEM manual therapy integrated program effectively improves the sleep and quality of life of cancer patients. It is considered that this exercise and therapy can be actively used as a psychological, emotional, and physically complementary physical therapy intervention to improve the quality of life of cancer patients.

• Journal of the Korean Society for Library and Information Science
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• v.57 no.3
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• pp.163-190
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• 2023

This study analyzed the effect of technology preparation and technology acceptance factors on the intention of public library librarians to use artificial intelligence-based technology using the technology acceptance model. To this end, a survey was conducted on public library librarians, and a total of 202 survey data were used for statistical analysis. As a result of the hypothesis test, first, optimism has a significant positive (+) effect on perceived usefulness, and discomfort has a significant negative (-) effect. Optimism and innovation on perceived ease of use were found to have a significant positive (+) effect, and discomfort was found to have a significant negative (-) effect. Second, perceived ease of use was found to have a significant positive (+) effect on perceived usefulness, and both perceived usefulness and perceived ease of use had a significant positive (+) effect on the intention to use. Third, optimism was found to have a significant positive (+) effect on the intention to use, and anxiety was found to have a significant negative (-) effect. This study is expected to provide basic data on the use of artificial intelligence technology in the future by empirically analyzing public library librarians' perceptions of artificial intelligence-based technology.

• Journal of Korea Entertainment Industry Association
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• v.13 no.4
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• pp.283-297
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• 2019

The purpose of this study was to investigate the relationship between university life satisfaction and resilience to happiness and university life satisfaction. The subjects of this study were 249 pre-service early childhood teachers in Seoul and Gyeonggi province. The statistical analysis of this study was analyzed using the SPSS V. 22.0 program. The results of the study are summarized as follows. First, pre-service early childhood teachers' perceived resilience, happiness, and University life satisfaction were generally considered to be 'normal'. Second, the relationship between the resilience and happiness of pre-service early childhood teachers showed that the higher the resilience, the higher the level of happiness. Also, resilience showed statistically significant effect on happiness and 69% of happiness. Third, the relationship between resilience of pre-service early childhood teachers and university life satisfaction showed that the higher the resilience of resilience, the higher the satisfaction of University life. Also, resilience showed a significant effect on university life satisfaction and 68% of happiness. This study is meaningful in that the resilience of pre-service early childhood teachers proves to be an important factor in the happiness and the University life satisfaction, which are related to quality of life of pre-service early childhood teachers.

• Korea Science and Art Forum
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• v.21
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• pp.117-129
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• 2015

The purpose of this study was to examine attitude of cultural events that affect participation satisfaction and loyalty of cultural events. Although cultural events are increasingly important with its positive impact on event participants, the existing literature on cultural event is sparse. This study, thus, investigates moderating effects of cultural events' involvement in a relationship between attitude of cultural event and participations' satisfaction and loyalty to understand the thoughts and attitude of participants. The survey was undertaken of participants to cultural events in Seoul, resulting in 513 valid responses. Through statistical analyses of factor analysis, multiple regression and hierarchical regression, four different factors of cultural event attitude were identified and those factors affect participation satisfaction and loyalty of cultural events. The results of this study provided support that there were moderated effects of cultural event involvement in the relationships between cultural event attitude and satisfaction and loyalty. More theoretical and practical implication were discussed in the conclusion.

• Journal of Korean Neurosurgical Society
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• v.66 no.4
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• pp.446-455
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• 2023

Objective : Chronic subdural hematoma (CSDH) is a common neurosurgical disease and generally treated with burr-hole surgery alone. Tranexamic acid (TXA) is an antifibrinolytic agent that potentially reduces recurrence rates and the residual hematoma volume. However, the role of postoperative TXA medication remains unclear to date. This study aimed to verify the effectiveness of adjunctive TXA in the view of early hematoma resolution. Methods : Between January 2018 and September 2021, patients with CSDH who underwent burr-hole trephination in a single tertiary institute were reviewed. The study population was divided into three groups, TXA, non-TXA, and antithrombotics (AT) groups, according to the medical history of cardio-cerebrovascular disease and TXA administration. The primary endpoint was CSDH recurrence, defined as re-appearance or re-accumulation of CSDH requiring neurosurgical interventions. The secondary outcome was CSDH resolution, defined as complete or near-complete resorption of the CSDH. The CSDH resolution time and serial changes of hematoma thickness were also investigated. Results : A total of 240 patients was included in the analysis consisting of 185 male and 55 female, with a median age of 74 years. During the median imaging follow-up period of 75 days, 222 patients were reached to the primary or secondary endpoint. TXA was administered as an adjunctive therapy in 41 patients (TXA group, 16.9%) while 114 patients were included in the non-TXA group (47.9%) and 85 were in the AT group. The recurrence rate was the lowest in the TXA group (2.4%), followed by non-TXA (7.0%) and AT (8.2%) groups. However, there was no statistical significance due to the small number of patients with recurrence. CSDH resolution was achieved in 206 patients, and the median estimated time to resolution was significantly faster in the TXA group (p<0.001). Adjunctive TXA administration was a significant positive factor for achieving CSDH resolution (p<0.001). The hematoma thickness was comparable among the three groups at the initial time and after surgery. However, CSDH thickness in the TXA group decreased abruptly in a month and showed a significant difference from that in the other groups (p<0.001). There was no TXA-related adverse event. Conclusion : The adjunctive use of TXA after CSDH surgery significantly facilitated the resorption of residual CSDH and resulted in the early CSDH resolution. Adjunctive TXA may be an effective treatment option to reduce recurrence by enhancing CSDH resolution in the selective patients.

• Korean Journal of Agricultural and Forest Meteorology
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• v.26 no.1
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• pp.53-62
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• 2024

In this study, we built a model to estimate frost occurrence in South Korea using single-input deep learning and multi-input deep learning. Meteorological factors used as learning data included minimum temperature, wind speed, relative humidity, cloud cover, and precipitation. As a result of statistical analysis for each factor on days when frost occurred and days when frost did not occur, significant differences were found. When evaluating the frost occurrence models based on single-input deep learning and multi-input deep learning model, the model using both GRU and MLP was highest accuracy at 0.8774 on average. As a result, it was found that frost occurrence model adopting multi-input deep learning improved performance more than using MLP, LSTM, GRU respectively.

• Knowledge Management Research
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• v.25 no.2
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• pp.193-218
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• 2024

The current study investigated the factors influencing the buyer's repurchase intention for second-hand products. This study first identified perceived risk and purchase value as the two primary influencing variables. Additionally, some exogenous variables influencing these two variables were examined. Statistical analysis using Partial Least Squares (PLS) revealed that product uncertainty, seller uncertainty, and site trust had statistically significant relationships with perceived transaction risk. However, while economic benefit showed a significant impact on purchase value, product scarcity and resale value did not exhibit a significant relationship with purchase value. Perceived transaction risk was found to have an insignificant relationship with repurchase intention, but indirectly influenced repurchase intention through purchase value. Purchase value was identified as having a significant influence on repurchase intention. Therefore, it was concluded that purchase value is the most important factor influencing repurchase intention in the purchase of second-hand products, while transaction risk indirectly influences repurchase intention through purchase value. The study indicates that product uncertainty and economic benefit are the most significant exogenous factors influencing transaction risk and purchase value, respectively.

• Korean Journal of Radiology
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• v.23 no.1
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• pp.112-123
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• 2022

Objective: To investigate the relationship between ¹⁸F-FDG PET/CT semi-quantitative parameters and the International Association for the Study of Lung Cancer, American Thoracic Society/European Respiratory Society (IASLC/ATS/ERS) histopathologic classification, including histological subtypes, proliferation activity, and somatic mutations. Materials and Methods: This retrospective study included 419 patients (150 males, 269 females; median age, 59.0 years; age range, 23.0-84.0 years) who had undergone surgical removal of stage IA-IIIA lung adenocarcinoma and had preoperative PET/CT data of lung tumors. The maximum standardized uptake values (SUVmax), background-subtracted volume (BSV), and background-subtracted lesion activity (BSL) derived from PET/CT were measured. The IASLC/ATS/ERS subtypes, Ki67 score, and epidermal growth factor/anaplastic lymphoma kinase (EGFR/ALK) mutation status were evaluated. The PET/CT semi-quantitative parameters were compared between the tumor subtypes using the Mann-Whitney U test or the Kruskal-Wallis test. The optimum cutoff values of the PET/CT semi-quantitative parameters for distinguishing the IASLC/ATS/ERS subtypes were calculated using receiver operating characteristic curve analysis. The correlation between the PET/CT semi-quantitative parameters and pathological parameters was analyzed using Spearman's correlation. Statistical significance was set at p < 0.05. Results: SUVmax, BSV, and BSL values were significantly higher in invasive adenocarcinoma (IA) than in minimally IA (MIA), and the values were higher in MIA than in adenocarcinoma in situ (AIS) (all p < 0.05). Remarkably, an SUVmax of 0.90 and a BSL of 3.62 were shown to be the optimal cutoff values for differentiating MIA from AIS, manifesting as pure ground-glass nodules with 100% sensitivity and specificity. Metabolic-volumetric parameters (BSV and BSL) were better potential independent factors than metabolic parameters (SUVmax) in differentiating growth patterns. SUVmax and BSL, rather than BSV, were strongly or moderately correlated with Ki67 in most subtypes, except for the micropapillary and solid predominant groups. PET/CT parameters were not correlated with EGFR/ALK mutation status. Conclusion: As noninvasive surrogates, preoperative PET/CT semi-quantitative parameters could imply IASLC/ATS/ERS subtypes and Ki67 index and thus may contribute to improved management of precise surgery and postoperative adjuvant therapy.

• The Journal of Bigdata
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• v.9 no.1
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• pp.31-47
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• 2024

With the advancement of artificial intelligence, the travel and hospitality industry is also adopting AI and machine learning technologies for various purposes. In the tourism industry, demand forecasting is recognized as a very important factor, as it directly impacts service efficiency and revenue maximization. Demand forecasting requires the consideration of time-varying data flows, which is why statistical techniques and machine learning models are used. In recent years, variations and integration of existing models have been studied to account for the diversity of demand forecasting data and the complexity of the natural world, which have been reported to improve forecasting performance concerning uncertainty and variability. This study also proposes a new model that integrates various machine-learning approaches to improve the accuracy of hotel sales demand forecasting. Specifically, this study proposes a new time series forecasting model based on XGBoost that selectively utilizes a local model by clustering with DTW K-means and a global model using the entire data to improve forecasting performance. The hotel demand forecasting model that selectively utilizes global and regional models proposed in this study is expected to impact the growth of the hotel and travel industry positively and can be applied to forecasting in other business fields in the future.