• Journal of The Korean Society of Integrative Medicine
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• v.9 no.2
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• pp.43-52
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• 2021

Purpose : Chronic neck pain negatively impacts the quality of life and causes various problems in daily life due to pain, insomnia, and sleep disturbances in patients with this condition. Therapeutic interventions to solve these problems in rehabilitation and physical therapy are being introduced; however, the evidence of the efficacy of myofascial release (MFR) is still insufficient. This study aimed to investigate the effects of applying MFR on pain, insomnia, and sleep disturbances in patients with chronic neck pain. Methods : Ten patients with chronic neck pain were randomly selected and grouped into the experimental group (n₁ = 10) and control group (n₂ = 10) by cross-over design. Pain was measured before and after MFR intervention. Moreover, insomnia was measured only after MFR intervention. Polysomnography was performed after MFR intervention. Wilcoxon signed rank test and Mann-Whitney U test were used for the visual analog scale (VAS). Independent sample t-test was separately performed to measure insomnia and sleep. Results : After MFR intervention, the VAS score of the experimental group (p = 0.005) significantly decreased than that of the control group (p = 0.002). The insomnia score of the experimental group significantly decreased than that of the control group (p = 0.001). The total sleep time (p = 0.001), sleep efficiency (p = 0.001), and sleep latency (p = 0.001) of the experimental group significantly increased than those of the control group in the polysomnographic measurement. Conclusion : The application of MFR of the neck and upper trunk may have a positive effect on pain, insomnia, and sleep disturbances in patients with chronic neck pain. It was also suggested that an objective and quantitative polysomnography can be used more often in the field of rehabilitation and physical therapy.

• Journal of Plant Biotechnology
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• v.39 no.3
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• pp.169-174
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• 2012

Quantitative trait loci (QTLs), which were related to the ability of callus induction and plant regeneration in seed culture of rice, were analyzed using a mapping population from a cross between the rice cultivars 'Samgang' (tongil type) and 'Nagdong' (japonica). A tongil type rice cultivar, 'Samgang' showed lower frequency (20%) of plant regeneration than that (35%) of japonica rice, 'Nagdong'. Transgressive segregations were observed for the ability of callus induction and plant regeneration from the seed-derived calli of 58 doubled haploid (DH) lines. The ability of plant regeneration of 58 doubled haploid lines showed a continuous distribution with comparatively wide range (10.0 to 66.7%) of variation. Composite interval mapping analysis was used to identify the QTLs controlling callus induction and plant regeneration ability. Four significant QTLs, qCWS6, qCWS8, qCWS9 and qCWS11, associated with callus weight per seed were detected on chromosomes 6, 8, 9, and 11 with LOD values of 3.30, 2.60, 2.70 and 2.43, explaining 36% of the total phenotypic variation. Three significant QTLs, qPR1, qPR6, and qPR11, for the ability of plant regeneration were located on chromosome 1, 6, and 11 at LOD score of 2.25, 2.15 and 2.55, accounting for 24 % of the total phenotypic variation. The present study should be useful for improving the efficiency of plant regeneration in tissue culture of indica rice by means of marker-assisted selection.

• The Journal of Korean Academic Society of Nursing Education
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• v.21 no.4
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• pp.518-527
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• 2015

Purpose: This study aimed to identify a relationship between the communication competence and social anxiety in nursing students. Methods: With a cross-sectional survey, a convenience sampling of 303 nursing students was taken from P-university in Y-city. The instrument for the study was a questionnaire that is consisted of the general characteristics, an Interaction Anxiousness Scale (IAS) and a Global Interpersonal Communication Competence Scale (GICC). Data was analyzed using descriptive statistics, t-test, one-way ANOVA, Kruskal-Wallis, Pearson's correlation coefficients and stepwise multiple regression with SPSS version 21.0. Results: The mean score of the IAS was $41.89{\pm}8.74$ and the GICC was $3.51{\pm}0.34$. Communication competence significantly differed by the satisfaction of major (F=10.86, p<.001). In addition, the satisfaction of interpersonal relationships was significantly different in both communication competence (F=17.52, p<.001) and social anxiety (F=23.85, p<.001). Social anxiety had a negative correlation with communication competence (r=-.48, p<.001). Social anxiety accounted for 55.3% of the variance -social relaxation (${\beta}$=-.62), assertiveness (${\beta}$=-.18), interaction management (${\beta}$=.14) and efficiency (${\beta}$=-.13)- of communication competence's subcategories. Conclusion: It was found that communication competence has an influence on social anxiety. Therefore, education programs are needed to promote communication competence for a decline of social anxiety in nursing students.

• Journal of Korean Society of Transportation
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• v.20 no.7
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• pp.15-22
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• 2002

Transportation project appraisal should be precise in order to increase the social welfare and efficiency, and it has been evaluated by only a single criterion analysis such as benefit/cost analysis. However, this method cannot assess some qualitative items, and cannot get a proper solution for the clash of interests among various groups. Therefore, the multi-criteria analysis, which can control these problems, is needed, and then Saaty has developed one of these methods, AHP(Analytic Hierarchy Process) method. In AHP, the project is evaluated through weighted score of the criteria and the alternatives, which is surveyed by a questionnaire of specialists. It is based on some strict suppositions such as reciprocal comparison, homogeneity, expectation, independence relationship between multi-criteria, but supposing that each criterion has independence relation with others is too difficult in two reasons. First, in real situation, there cannot be perfect independence relationship between standards. Second, individuals, even though they are specialists of that area, do not feel the degree of independence relation as same as others. This paper develops a modified AHP method for solving this dependence relationship between multi-criteria. First of all. in this method, the degree of dependence relationship between multi-criteria that the specialist feels is surveyed and included to the weighted score of multi-criteria This study supposes three methods to implement this idea. The first model products the degree of dependence relationship in the first step for calculating the weighted score, and the others adjust the result of weighted score from the basic AHP method to the dependence relationship. One of the second methods distributes the cross weighted score to each standard by constant ratio, and the other splits them using Fuzzy measure such as Bel and Pl. Finally, in order to validate these methods, this paper applies them to evaluate the alternatives which can control public resentments against Korean rail path in a city area.

• Journal of Intelligence and Information Systems
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• v.29 no.1
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• pp.121-142
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• 2023

As the number and weight of imported food are steadily increasing, safety management of imported food to prevent food safety accidents is becoming more important. The Ministry of Food and Drug Safety conducts on-site inspections of foreign food facilities before customs clearance as well as import inspection at the customs clearance stage. However, a data-based safety management plan for imported food is needed due to time, cost, and limited resources. In this study, we tried to increase the efficiency of the on-site inspection by preparing a machine learning prediction model that pre-selects the companies that are expected to fail before the on-site inspection. Basic information of 303,272 foreign food facilities and processing businesses collected in the Integrated Food Safety Information Network and 1,689 cases of on-site inspection information data collected from 2019 to April 2022 were collected. After preprocessing the data of foreign food facilities, only the data subject to on-site inspection were extracted using the foreign food facility_code. As a result, it consisted of a total of 1,689 data and 103 variables. For 103 variables, variables that were '0' were removed based on the Theil-U index, and after reducing by applying Multiple Correspondence Analysis, 49 characteristic variables were finally derived. We build eight different models and perform hyperparameter tuning through 5-fold cross validation. Then, the performance of the generated models are evaluated. The research purpose of selecting companies subject to on-site inspection is to maximize the recall, which is the probability of judging nonconforming companies as nonconforming. As a result of applying various algorithms of machine learning, the Random Forest model with the highest Recall_macro, AUROC, Average PR, F1-score, and Balanced Accuracy was evaluated as the best model. Finally, we apply Kernal SHAP (SHapley Additive exPlanations) to present the selection reason for nonconforming facilities of individual instances, and discuss applicability to the on-site inspection facility selection system. Based on the results of this study, it is expected that it will contribute to the efficient operation of limited resources such as manpower and budget by establishing an imported food management system through a data-based scientific risk management model.