• Journal of the Korea Academia-Industrial cooperation Society
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• v.19 no.6
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• pp.240-251
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• 2018

This study was conducted to evaluate the moral distress, moral sensitivity, and the factors that influence moral distress and the experience of moral distress among nurse working in a long-term care hospital. Overall, 180 nurses working in long-term care hospital in G Province were evaluated. Date were collected from March 21 to April 8, 2016 and analyzed using the SPSS/WIN 23.0 program. The mean of moral distress among nurses was 3.57 and the moral sensitivity was 4.82, and these factors was significantly and positively correlated (r=0.494, p<0.001). Regression analysis revealed that the factors that significantly influenced moral distress were moral sensitivity and ethical dilemmas when conducting nursing practices. Situations that caused nurses to experience moral distress included inappropriate care behavior was not guaranteed the quality of nursing care, conditions related to unethical the human rights, conditions related to the lack of nursing staff and conditions related to the lack of support at the organizational and national level. Therefore, to reduce moral distress, nursing intervention programs that improve the moral sensitivity and ability to solve ethical-problems are needed for nurses working in long-term care facilities.

• Journal of Korean Traditional Oncology
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• v.20 no.2
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• pp.5-11
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• 2015

Objective : The objective of this study was to investigate the anti-tumor activity of the complexed herbal formula, Haeamdan (HAD). Methods : Seven Cancer cell lines, LoVo, MCF-7, AGS, Sarcoma 180, HL-60, NCI-H69, LL/2, were prepared and the cytotoxicity was assessed by 3-(4,5-dimethylthiazol-2yl)-2,5-dephenyl tetrazolium bromide (MTT) assay. HAD was applied with various concentrations from 0.1 to 1.0 mg/ml to figure out the appropriate dosage. ICR male mice were intraperitoneally implanted with Sarcoma 180 and divided into 8 species for each group. Control group was treated with normal saline, positive control group was treated with cyclophosphamide 8mg/kg, and experimental group was treated with HAD 1g/kg. Results : Among seven cancer cell lines, HAD exhibited strong cytotoxic activities to followed four cancer cell lines, that is, Sarcoma 180, HL-60, NCI-H69, and LL/2. These cytotoxic activity was expressed under 0.50 mg/ml of IC50 under 0.1~1mg/ml of OBW. When Sarcoma 180 cancer cell was implanted in ICR male mice and treated with the HAD, HAD prolonged the median overall survival for 3.6 days, from 17.5 to 21.1 days. Conclusion : HAD showed strong cytotoxicity to the cancer cells, Sarcoma 180, HL-60, NCI-H69, on in vitro study and it showed anti-tumor activity in vivo with the peritoneal cancer mice by prolonging the median survival for 3.6 days. Further researches would be expected to support the anti-tumor efficacy of HAD.

• Journal of Construction Engineering and Project Management
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• v.5 no.1
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• pp.11-19
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• 2015

This paper presents optimized artificial neural networks (ANNs) claims prediction and decision awareness framework that guides owner organizations in their pre-bid construction project decisions to minimize claims. The framework is composed of two genetic optimization ANNs models: a Claims Impact Prediction Model (CIPM), and a Decision Awareness Model (DAM). The CIPM is composed of three separate ANNs that predict the cost and time impacts of the possible claims that may arise in a project. The models also predict the expected types of relationship between the owner and the contractor based on their behavioral and technical decisions during the bidding phase of the project. The framework is implemented using actual data from international projects in the Middle East and Egypt (projects owned by either public or private local organizations who hired international prime contractors to deliver the projects). Literature review, interviews with pertinent experts in the Middle East, and lessons learned from several international construction projects in Egypt determined the input decision variables of the CIPM. The ANNs training, which has been implemented in a spreadsheet environment, was optimized using genetic algorithm (GA). Different weights were assigned as variables to the different layers of each ANN and the total square error was used as the objective function to be minimized. Data was collected from thirty-two international construction projects in order to train and test the ANNs of the CIPM, which predicted cost overruns, schedule delays, and relationships between contracting parties. A genetic optimization backward analysis technique was then applied to develop the Decision Awareness Model (DAM). The DAM combined the three artificial neural networks of the CIPM to assist project owners in setting optimum values for their behavioral and technical decision variables. It implements an intelligent user-friendly input interface which helps project owners in visualizing the impact of their decisions on the project's total cost, original duration, and expected owner-contractor relationship. The framework presents a unique and transparent hybrid genetic algorithm-ANNs training and testing method. It has been implemented in a spreadsheet environment using MS Excel$^{(R)}$ and EVOLVERTM V.5.5. It provides projects' owners of a decision-support tool that raises their awareness regarding their pre-bid decisions for a construction project.

• Asian-Australasian Journal of Animal Sciences
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• v.30 no.7
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• pp.938-943
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• 2017

Objective: Qingyu pig, a Chinese indigenous pig breed, exhibits two types of coat colour phenotypes, including pure black and white with black spotting respectively. Melanocortin receptor 1 (MC1R) and agouti signaling protein (ASIP) are two widely reported pivotal genes that significantly affect the regulation of coat colour. The objectives of this study were to investigate whether the polymorphisms of these two genes are associated with coat colour and analyze the molecular mechanism of the coat colour separation in Qingyu pig. Methods: We studied the phenotype segregation and used polymerase chain reaction amplification and Sanger sequencing to investigate the polymorphism of MC1R and ASIP in 121 Qingyu pigs, consisting of 115 black and 6 white with black spotted pigs. Results: Coat colour of Qingyu pig is associated with the polymorphisms of MC1R but not ASIP. We only found 2 haplotypes, $E^{QY}$ and $E^{qy}$, based on the 13 observed mutations from MC1R gene. Among which, $E^{qy}$ presented a recessive inheritance mode in black spotted Qingyu pigs. Further analysis revealed a g.462-463CC insertion that caused a frameshift mutation and a premature stop codon, thus changed the first transmembrane domain completely and lost the remaining six transmembrane domains. Altogether, our results strongly support that the variety of Qingyu pig's coat colour is related to MC1R. Conclusion: Our findings indicated that black coat colour in Qingyu pig was dominant to white with black spotted phenotype and MC1R gene polymorphism was associated with coat colour separation in Qingyu pig.

• Clinical and Experimental Reproductive Medicine
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• v.43 no.2
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• pp.133-138
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• 2016

Objective: To determine the incidence of embryo retention (ER) in the transfer catheter following embryo transfer (ET) in blastocyst transfer and investigate whether retransferring retained embryos has an impact on reproductive outcomes in patients undergoing in vitro fertilization-ET. Methods: We retrospectively analyzed the records of 1,131 blastocyst transfers, which comprised 223 single blastocyst transfer (SBT) and 908 double blastocyst transfer (DBT) cycles. Each SBT and DBT group was classified depending on whether ET was performed without retained embryos in the catheter during the first attempt (without-ER group) or whether any retained embryos were found following ET (ER group) for the purpose of comparing reproductive outcomes in a homogenous population. Results: The overall incidence of finding retained embryos was 2.8% (32/1,131). There were no retained embryos in SBT cycles. In DBT cycles, implantation rates (30.0% vs. 26.6%), positive ${\beta}-hCG$ rates (57.2% vs. 56.2%), clinical pregnancy rates (45.3% vs. 46.9%), and live birth rates (38.9% vs. 43.8%) were not significantly different between the without-ER and ER groups. There were no significant differences in the mean birth weight (g) $2,928.4{\pm}631.8$ vs. $2,948.7{\pm}497.8$ and the mean gestational age at birth ($269.3{\pm}17.2days$ vs. $264.2{\pm}25.7days$). A total of nine cases of congenital birth defects were found in this study population. Eight were observed in the without-ER group and one in the ER group. Conclusion: Our results suggest that retransfer of retained embryos does not have any adverse impact on reproductive outcomes in blastocyst transfer cycles. Furthermore, our results support finding that SBT might be advantageous for decreasing the incidence of retained embryos in catheters.

• Korean Journal of Construction Engineering and Management
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• v.19 no.1
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• pp.21-31
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• 2018

The rapid increase of the elderly living alone is a critical issue in worldwide as it leads to a rapid increase of a social support costs (e.g., medical expenses) for the elderly. In early stages of dementia, the activities of daily living (ADL) including self-care tasks can be affected by abnormal patterns or behaviors and used as an evidence for the early diagnosis. However, extracting activities using non-intrusive approach is still quite challenging and the existing methods are not fully visualized to understand the behavior pattern or routine. To address these issues, this research suggests a model to extract the activities from coarse-grained data (spatio-temporal data log) and visualize the behavioral context information. Our approach shows the process of extracting and visualizing the subject's spaceactivity map presenting the context of each activity (time, room, duration, sequence, frequency). This research contributes to show a possibility of detecting subject's activities and behavioral patterns using coarse-grained data (limited to spatio-temporal information) with little infringement of personal privacy.

• Korean Journal of Plant Resources
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• v.25 no.1
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• pp.1-6
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• 2012

Atopic dermatitis is a chronic, allergic inflammatory skin disease that is accompanied by pruritic chronic eczema and markedly increased levels of inflammatory cells in endothelial cells. Arctium lappa L. is a popular edible vegetable cultivated in Asia. This study examined the effect of butanol extracts of A. lappa (ALBE) on the expression of adhesion molecule, ICAM-1 and the production of NO-iNOS induced by TNF-alpha in A549 endothelial cells. We also studied the effects of ALBE on the proliferation of keratinocyte. We observed significant inhibition of NO-iNOS production in dose-dependant manners and ALBE at $100\;{\mu}g$/mL suppressed the expression of ICAM-1 in TNF-${\alpha}$-induced A549 cells. In addition, the treatment of ALBE for 48 hrs increased the proliferation of HaCaT keratinocytes. These results support that ALBE has an anti-inflammatory effects for the treatment of atopic dermatitis.

• Korean Journal of Agricultural and Forest Meteorology
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• v.19 no.4
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• pp.270-279
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• 2017

Regional assessment of crop productivity using a gridded simulation approach could aid policy making and crop management. Still, little effort has been made to develop the systems that allows gridded simulations of crop growth using ORYZA 2000 model, which has been used for predicting rice yield in Korea. The objectives of this study were to develop a series of data processing modules for creating input data files, running the crop model, and aggregating output files in a region of interest using gridded data files. These modules were implemented using C++ and R to make the best use of the features provided by these programming languages. In a case study, 13000 input files in a plain text format were prepared using daily gridded weather data that had spatial resolution of 1km and 12.5 km for the period of 2001-2010. Using the text files as inputs to ORYZA2000 model, crop yield simulations were performed for each grid cell using a scenario of crop management practices. After output files were created for grid cells that represent a paddy rice field in South Korea, each output file was aggregated into an output file in the netCDF format. It was found that the spatial pattern of crop yield was relatively similar to actual distribution of yields in Korea, although there were biases of crop yield depending on regions. It seemed that those differences resulted from uncertainties incurred in input data, e.g., transplanting date, cultivar in an area, as well as weather data. Our results indicated that a set of tools developed in this study would be useful for gridded simulation of different crop models. In the further study, it would be worthwhile to take into account compatibility to a modeling interface library for integrated simulation of an agricultural ecosystem.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.1
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• pp.169-177
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• 2020

In South Korea, the results of R&D in science and technology are submitted to the National Science and Technology Information Service (NTIS) in reports that have Korea national science and technology standard classification codes (K-NSCC). However, considering there are more than 2000 sub-categories, it is non-trivial to choose correct classification codes without a clear understanding of the K-NSCC. In addition, there are few cases of automatic document classification research based on the K-NSCC, and there are no training data in the public domain. To the best of our knowledge, this study is the first attempt to build a highly performing K-NSCC classification system based on NTIS report meta-information from the last five years (2013-2017). To this end, about 210 mid-level categories were selected, and we conducted preprocessing considering the characteristics of research report metadata. More specifically, we propose a convolutional neural network (CNN) technique using only task names and keywords, which are the most influential fields. The proposed model is compared with several machine learning methods (e.g., the linear support vector classifier, CNN, gated recurrent unit, etc.) that show good performance in text classification, and that have a performance advantage of 1% to 7% based on a top-three F1 score.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.19 no.6
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• pp.160-166
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• 2018

The worldwide semi-conductor market has been growing for a long time. Manufacturing lines of semi-conductors need to handle several types of toxic gases. In particular, they need to be controlled accurately in real time. This type of toxic gas control system consists of many different kinds of parts, e.g., fittings, valves, tubes, filters, and regulators. These parts obviously need to be manufactured precisely and be corrosion resistant because they have to control high pressure gases for long periods without any leakage. For this, surface machining and hardening technologies of the metal block and metal gasket need to be studied. This type of study depends on various factors, such as geometric shapes, part materials, surface hardening method, and gas pressures. This paper presents strong concerns on a series of simulation processes regarding the differences between the inlet and outlet pressures considering several different fluid velocity, tube diameters, and V-angles. Indeed, this study will very helpful to determine the important design factors as well as precisely manufacture these parts. The EP (Electrolytic Polishing) process was used to obtain cleaner surfaces, and hardness tests were carried out after the EP process.