• Korean Journal of Social Welfare
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• v.54
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• pp.35-64
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• 2003

This study is to explore experience on the inter-organizational linkages for vocational rehabilitation of people with psychiatric disabilities and to find out predictors affecting the linkages. This study used triangulation a way as to combine the advantages of both the qualitative and the quantitative approach. The qualitative approach is based on grounded theory by Strauss & Cobin. The quantitative research used the samples of 122 organizations, and was analyzed by multiple regression & logistic regression. The results are as follows. First, as results of in-depth interview, interviewees perceived linkage experience as 'turning the eyes on the other organization in community', namely 'the pursue of collaboration'. This concept is classified four types: initiative, cooperative, authoritative and passive type. Second, according to Tobin(1986)'s five phase of the closeness of inter-organizational linkages, our linkages were found to be in third phase, "coordination". Finally, predictors of the attempt of having linkages & linkage strengthening were analyzed by logistic regression & multiple regression. 'The experience of professional training on people with psychiatric disabilities' and 'the resource dependency' have statistically significant relation with the attempt to have linkages. 'The length of current service', 'the experience of professional training on people with psychiatric disabilities', and 'recognition about other organizational activities' are significantly related to strengthening linkage. Based on the results of this study, alternatives for promoting inter-organization linkages for vocational rehabilitation of people with psychiatric disabilities were proposed.

• Journal of The Korean Association of Information Education
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• v.19 no.4
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• pp.431-440
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• 2015

The purpose of this study is to analyze the influence of digital textbook use for potential risk group of internet addiction and average group. For this, I selected two samples. One was a group to use digital textbook at school, the other was a group not to use that. Then each potential risk group of internet addiction were sort out in two groups by a test of internet addiction. I firstly compared a average user group and a potential risk group of internet addiction in group to use digital textbook. Also, I too did that in group not to use digital textbook. Then I analyzed the relevance of using digital textbook and internet addiction. As a result, I found that using digital textbook have not the relevance with internet addiction. But in this paper, I proposed a way to teach ICT ethical training before students use the digital textbook, because most of potential risk students of internet addiction tend to think they was influenced by digital textbook.

• Korean Journal of Biological Psychiatry
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• v.27 no.1
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• pp.18-26
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• 2020

Objectives The aim was to find effective vectorization and classification models to predict a psychiatric diagnosis from text-based medical records. Methods Electronic medical records (n = 494) of present illness were collected retrospectively in inpatient admission notes with three diagnoses of major depressive disorder, type 1 bipolar disorder, and schizophrenia. Data were split into 400 training data and 94 independent validation data. Data were vectorized by two different models such as term frequency-inverse document frequency (TF-IDF) and Doc2vec. Machine learning models for classification including stochastic gradient descent, logistic regression, support vector classification, and deep learning (DL) were applied to predict three psychiatric diagnoses. Five-fold cross-validation was used to find an effective model. Metrics such as accuracy, precision, recall, and F1-score were measured for comparison between the models. Results Five-fold cross-validation in training data showed DL model with Doc2vec was the most effective model to predict the diagnosis (accuracy = 0.87, F1-score = 0.87). However, these metrics have been reduced in independent test data set with final working DL models (accuracy = 0.79, F1-score = 0.79), while the model of logistic regression and support vector machine with Doc2vec showed slightly better performance (accuracy = 0.80, F1-score = 0.80) than the DL models with Doc2vec and others with TF-IDF. Conclusions The current results suggest that the vectorization may have more impact on the performance of classification than the machine learning model. However, data set had a number of limitations including small sample size, imbalance among the category, and its generalizability. With this regard, the need for research with multi-sites and large samples is suggested to improve the machine learning models.

• Journal of the Korean Chemical Society
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• v.31 no.6
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• pp.555-566
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• 1987

Fifty ancient Korean coins originated in Yi Dynasty have been determined for 9 elements such as Sn, Fe, As, Ag, Co, Sb, Ir, Ru and Ni by instrumental neutron activation analysis and for 3 elements such as Cu, Pb, and Zn by atomic absorption spectrometry. Bronze coins originated in early days of the dynasty contain as major constituents Cu, Pb and Sn approximately in the ratio 90 : 4 : 3, whereas, those in latter days contain in ratio 7 : 2 : 0. Brass coins which had begun in 17 century contain as major constituents Cu, Zn and Pb approximately in the ratio 7 : 1 : 1. The multivariate data have been analyzed for the relation among elemental contents through the variance-covariance matrix. The data have been further analyzed by a principal component mapping method. As the results training set of 8 class have been chosen, based on the spread of sample points in an eigen vector plot and archaeological data such as age and the office of minting. The training set and test set of samples have finally been analyzed for the assignment to certain classes or outliers through the statistical isolinear multiple component analysis (SIMCA).

• Journal of dental hygiene science
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• v.16 no.2
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• pp.134-141
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• 2016

The purpose of this study was to develop a dental communication course in dental hygiene schools that included theory, practice, and skill for effective dental communication. Thirty-six senior dental hygiene students in a dental hygiene school took a dental communication course and responded to a questionnaire. The instrument used in the study was a modified form of Kim's communication skill self-assessment sheet. The self-assessment questionnaire about communication competencies was administered before and after the class, and the difference between scores at each time point was analyzed using the Wilcoxon signed rank sum test. Among seven elements of dental communication competencies, the competency of "information gathering" was significantly improved (p=0.008). Students' scores on perception of the importance (p=0.019) and necessity (0.016) of a communication course significantly increased after the course. Competencies in communication are essential requirement for dental hygienists. This study showed the possibility of communication skill training. An objective evaluation tool regarding students' communication competencies should be developed. Further studies with larger samples size are needed to develop a standardized comprehensive communication course in dental hygiene schools.

• Journal of Internet of Things and Convergence
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• v.10 no.1
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• pp.29-37
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• 2024

The purpose of this study is to investigate the impact of education applying the Havruta learning method in fundamentals nursing classes for nursing students on problem-solving ability, self-directed learning ability, critical thinking disposition, and learning commitment. One-group pretest-posttest design was used. Nursing students received training applying the Havruta learning method for 6 weeks (12 hours) in fundamentals nursing classes. The study was conducted from September 18 to November 6, 2023. Data were analyzed using SPSS/WIN 28.0 with mean, standard deviation, and paired samples t-test. problem-solving ability (t=4.52, p<.001), self-directed learning ability(t=-4.61, p<.001), critical thinking disposition(t=-4.10, p<.001) significantly increased before and after the 6-week Havruta learning method training for nursing students. However, there was no statistically significant difference in learning commitment (t=-0.28, p=.782). The Havruta learning method is an effective nursing education tool for improving problem-solving ability, self-directed learning ability, and critical thinking disposition. The results of this study can serve as basic data for nursing professors when planning teaching and learning strategies using Havruta. Research will be needed to utilize the Havruta learning method in various classes and evaluate its effectiveness.

• Korea Trade Review
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• v.48 no.2
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• pp.153-174
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• 2023

Electronic bill of lading, Letter of Guarantee, Surrender B/L, Seaway Bill, etc. have been proposed as alternative tools to overcome the crisis of bill of lading, but the most useful of these is by far the Surrender B/L. However, since the Surrender B/L has various problems due to the absence of a legal basis, studies so far have been conducted focusing on these legal limitations or problems in use of the Surrender B/L. This study tried to empirically identify the factors that affect the spread of Surrender B/L by expanding this point of research view. A hierarchical regression analysis was conducted by acquiring 190 valid samples centered on member companies of the Korea International Freight Forwarders Association. In addition, the R program was used to diagnose the research data and analyze the degree of spread by region. As a result of the empirical analysis, it was found that the utilization of Surrender B/L increased due to the convenience and cost reduction effect of Surrender B/L and the apprenticeship training of forwarding companies. In addition, as a result of regional analysis, the spread of Surrender B/L was notable not only in neighboring regions but also even in areas far from Korea.

• Journal of the Korean earth science society
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• v.45 no.2
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• pp.111-120
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• 2024

Cloud coverage is a key factor in determining whether to proceed with observations. In the past, human judgment played an important role in weather evaluation for observations. However, the development of remote and robotic observation has diminished the role of human judgment. Moreover, it is not easy to evaluate weather conditions automatically because of the diverse cloud shapes and their rapid movement. In this paper, we present the development of a cloud monitoring program by applying a machine learning-based Python module "cloudynight" on all-sky camera images obtained at Miryang Arirang Astronomical Observatory (MAAO). The machine learning model was built by training 39,996 subregions divided from 1,212 images with altitude/azimuth angles and extracting 16 feature spaces. For our training model, the F1-score from the validation samples was 0.97, indicating good performance in identifying clouds in the all-sky image. As a result, this program calculates "Cloudiness" as the ratio of the number of total subregions to the number of subregions predicted to be covered by clouds. In the robotic observation, we set a policy that allows the telescope system to halt the observation when the "Cloudiness" exceeds 0.6 during the last 30 minutes. Following this policy, we found that there were no improper halts in the telescope system due to incorrect program decisions. We expect that robotic observation with the 0.7 m telescope at MAAO can be successfully operated using the cloud monitoring program.

• Journal of Korean Society of Occupational and Environmental Hygiene
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• v.20 no.3
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• pp.147-155
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• 2010

This study was conducted to investigate the benzene exposure levels in coal chemical and petrochemical refining industries during BTX turnaround (TA) processes where benzene was being produced. Three companies producing benzene were selected, one coal chemical and two petrochemical industries. TA processes were classified into three stages: shut down, maintenance, and start up. Data was analyzed by classifying the refining method into 2 groups (Petrochemistry, Coal chemistry) for 823 workers. Comparing the data from petrochemical industries with data from a coal chemical refining industry, while benzene concentration levels of long-term samples during TA were not statistically different (p> 0.05), those levels of short-term samples were significantly different (p< 0.001). About 4.79 % of data in petrochemical industries exceed the occupational exposure limits (OELs) of benzene, 1 ppm. In a coal refining methods, about 15.7% exceeded the benzene OELs. The benzene concentrations in maintenance and start up stage of TA for petrochemical refineries were higher than those in a coal chemical refinery (p <0.01). These findings suggest that the coal chemical refining site requires more stringent work practice controls compare to petrochemical refining sites during TA processes. Personal protective equipments including organic respirators should be used by TA workers to protect them from benzene overexposure.

• The Journal of Korean Academy of Orthopedic Manual Physical Therapy
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• v.13 no.2
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• pp.31-44
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• 2007

The purposes of this study were to examine the normal lumbar proprioception and identify the effect of vision and proprioception on lumbar movement accuracy through measuring a reposition error in visual and non-visual conditions and to provide the basic data for use of vision when rehabilitation program is applied. The subjects of this study were 39 healthy university students who have average physical activity level. They were measured the ability to reproduce the target position(50% of maximal range of motion) of flexion, extension, dominant and non-dominant side flexion in visual and non-visual conditions. Movement accuracy was assessed by reposition error(differences between intended and actual positions) that is calculated by the average of absolute value of 3 repeated measures at each directions. The data were analysed by paired samples t-test, independent samples t-test, and repeated measures ANOVA. The results were as follows : 1. Movement accuracy of flexion, extension, dominant side flexion, and non-dominant side flexion was increased in visual condition. 2. There were no differences in the lumbar movement accuracy between sexes in visual and non-visual conditions. 3. In non-visual condition, the movement in coronal plane(dominant and non dominant side flexion) is more accurate than that in sagittal plane(flexion and extension). 4. In non-visual condition, there were no differences in the lumbar movement accuracy between dominant and non-dominant side flexion. In conclusion, this study demonstrates that the movement is more accurate when the visual information input is available than proprioception is only available. When proprioception is decreased by injury or disease, it disturbs the control of posture and movement. In this case, human controls the posture and movement by using visual compensation. However it is impossible to prevent an injury or trauma because most of injuries occur in an unexpected situation. For this reason, it is important to improve the proprioception. Therefore, proprioceptive training or exercise which improve the ability to control of posture and movement is performed an appropriate control of permission or interception of the visual information input to prevent an excessive visual compensation.