Park, Jin Ju;Oh, Myung Hwa;Chung, Hyun Ae;Chung, Sang Mi;Chong, Bok Hee;Kim, Seung Il
재활복지
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v.20
no.4
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pp.283-299
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2016
The purpose of this study was to investigate the effect of dysphagia intervention function and life quality of stroke patients. each 5 patients were randomly assigned in two groups, control group performing indirect feeding and experimental group performing direct feeding. Evaluation of the swallowing function was performed before intervention, after 4weeks and 8 weeks using CDS, PAS with VFSS and quality of life was performed twice, before and after intervention. Two groups showed the improved swallowing function, control group showed the significant difference only in CDS(p<.05). but experimental group showed the significant differenc in CDS and PAS(p<.01). both groups showed the significant improvement in quality of life(p<.05). but in comparison between group, no significant statistical difference were found(p>.05). Therefore, this study showed that both the swallowing function and quality of life were improved as time passed, but swallowing function was much more improved in experimental group.
Snow Cover is a form of precipitation that is defined by snow on the surface and is the single largest component of the cryosphere that plays an important role in maintaining the energy balance between the earth's surface and the atmosphere. It affects the regulation of the Earth's surface temperature. However, since snow cover is mainly distributed in area where human access is difficult, snow cover detection using satellites is actively performed, and snow cover detection in forest area is an important process as well as distinguishing between cloud and snow. In this study, we applied the Normalized Difference Snow Index (NDSI) and the Normalized Difference Vegetation Index (NDVI) to the geostationary satellites for the snow detection of forest area in existing polar orbit satellites. On the rest of the forest area, the snow cover detection using $R_{1.61{\mu}m}$ anomaly technique and NDSI was performed. As a result of the indirect validation using the snow cover data and the Visible Infrared Imaging Radiometer (VIIRS) snow cover data, the probability of detection (POD) was 99.95 % and the False Alarm Ratio (FAR) was 16.63 %. We also performed qualitative validation using the Himawari-8 Advanced Himawari Imager (AHI) RGB image. The result showed that the areas detected by the VIIRS Snow Cover miss pixel are mixed with the area detected by the research false pixel.
The purpose of this study is to find a way for social welfare organizations to actively cope with environmental changes such as the corona incident according to the work coordination theory that work performance improves when actively coping with environmental changes. In other words, the mediating effect of member agility in the relationship that participatory decision-making affects job performance was identified. The subjects of the survey were workers in welfare centers in the metropolitan area and Chungcheong area, and 310 questionnaires were analyzed, and confirmatory factor analysis, research model analysis, and mediation effect verification were conducted to verify the hypothesis. As a result of the study, participatory decision-making had a significant positive effect on member agility and job performance. In addition, it was confirmed that the partial mediation model including the path that participatory decision-making directly affects job performance and the indirect effect that is linked to job performance after first affecting the agility of members is appropriate. The study has academic significance in that it verifies the effect of participatory decision-making and agility necessary for social welfare organizations, and suggests ways to improve participatory decision-making and agility in hiring, evaluation, and education of employees in social welfare organizations. In this respect, significance can also be found in practical terms.
Objective: The objective of this study was to determine net energy (NE) of expeller-press (EP-RSM) and solvent-extracted rapeseed meal (SE-RSM) and to establish equations for predicting the NE in rapeseed meal (RSM) fed to growing pigs. Methods: Thirty-six barrows (initial body weight [BW], 41.1±2.2 kg) were allotted into 6 diets comprising a corn-soybean meal basal diet and 5 diets containing 19.50% RSM added at the expense of corn and soybean meal. The experiment had 6 periods and 6 replicate pigs per diet. During each period, the pigs were individually housed in metabolism crates for 16 days which included 7 days for adaption to diets. On day 8, pigs were transferred to respiration chambers and fed their respective diet at 2,000 kJ metabolizable energy (ME)/kg BW0.6/d. Feces and urine were collected, and daily heat production was measured from day 9 to 13. On days 14 and 15, the pigs were fed at 890 kJ ME/kg BW0.6/d and fasted on day 16 for evaluation of fasting heat production (FHP). Results: The FHP of pigs averaged 790 kJ/kg BW0.6/d and was not affected by the diet composition. The NE values were 10.80 and 8.45 MJ/kg DM for EP-RSM and SE-RSM, respectively. The NE value was positively correlated with gross energy (GE), digestible energy (DE), ME, and ether extract (EE). The best fit equation for NE of RSM was NE (MJ/kg DM) = 1.14×DE (MJ/kg DM)+0.46×crude protein (% of DM)-25.24 (n = 8, R2 = 0.96, p<0.01). The equation NE (MJ/kg DM) = 0.22×EE (% of DM)-0.79×ash (% of DM)+14.36 (n = 8, R2 = 0.77, p = 0.018) may be utilized to quickly determine the NE in RSM when DE or ME values are unavailable. Conclusion: The NE values of EP-RSM and SE-RSM were 10.80 and 8.45 MJ/kg DM. The NE value of RSM can be well predicted based on energy content (GE, DE, and ME) and proximate analysis.
Journal of the Korea Academia-Industrial cooperation Society
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v.22
no.6
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pp.90-99
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2021
This study was conducted to provide basic data for improving nursing management practice by comparing and analyzing the perceptions of nursing students and clinical instructors about the importance of the learning contents of nursing management and their practical experience. The final 343 copies were analyzed using the Mann-Whitney test and cross-analysis, targeting 4th-grade students and clinical instructors at three universities. Both nursing students and clinical instructors recognized 'communication', 'interpersonal relationship', 'responsibility', 'trust', and 'morality' as important factors in the evaluation items of practice. Among the top 10 most importantly recognized items among nursing-management practice learning content, six items ('infection control', 'nursing record management', 'patient nursing management', 'drug management', 'patient safety', and 'nursing malpractice') were matched in the two groups. Moreover, clinical instructors recognized that interpersonal relationships and relationship ethics were important, while nursing students chose legal responsibility. As a result of the practical experience analysis between the two groups, nursing students had high experience of indirect participation, but the clinical instructors had a high experience of direct instruction. A plan is needed to reduce the difference by establishing an organic partnership relationship between the university and practice institutions and increase the experience of direct practice of nursing students.
Purpose - Based on literature studies of movie reviews and movie ratings, this study raised two research questions on the contents of online word of mouth and the number of movie screens as mediator variables. Research question 1 wanted to figure out which topics of word groups had a positive or negative impact on movie ratings. Research question 2 tried to identify the role of the number of movie screens between movie ratings and box office outcomes. Design/methodology/approach - Through R program, this study collected about 82,000 movie reviews and movie ratings posted on Naver's movie website to examine the role of online word of mouths and movie screen counts in 10 movies that were considered commercially unsuccessful with fewer than 2 million viewers despite securing about 1,000 movie screens. To confirm research question 1, topic modeling, a text mining technique, was conducted on movie reviews. In addition, this study linked the movie ratings posted on Naver with information of KOBIS by date, to identify the research question 2. Findings - Through topic modeling, 5 topics were identified. Topics found in this study were largely organized into two groups, the content of the movie (topic 1, 2, 3) and the evaluation of the movie (topics 4, 5). When analyzing the relationship between movie reviews and movie ratings with 5 mediators identified in topic modeling to probe research question 1, the topic word groups related to topic 2, 3 and 5 appeared having a negative effect on the netizen's movie ratings. In addition, by connecting two secondary data by date, analysis for research question 2 was implemented. The outcomes showed that the causal relationship between movie ratings and audience numbers was mediated by the number of movie screens. Research implications or Originality - The results suggested that the information presented in text format was harder to quantify than the information provided in scores, but if content information could be digitalized through text mining techniques, it could become variable and be analyzed to identify causality with other variables. The outcomes in research question 2 showed that movie ratings had a direct impact on the number of viewers, but also had indirect effects through changes in the number of movie screens. An interesting point is that the direct effect of movie ratings on the number of viewers is found in most American films released in Korea.
Purpose: To urge the necessity of disclosure by identifying the relationship between the disclosure status of greenhouse gas emissions from domestic business sites and other indirect emissions to total emissions. Method: The 2021 emission data disclosed in the Carbon Disclosure Project (CDP) was collected by industry and emission category for comparative analysis. Result: The more companies that calculated and disclosed emissions by category within Scope 3, the more active they were in responding to or disclosing evaluation factors other than disclosure of emissions, and those companies were able to obtain higher grades in CDP and ESG evaluations. The number of Scope 3 calculations and disclosures was found to be high. In addition, there was a significant difference in the correlation between the number of Scope 3 disclosures by industry and the share of each scope out of the total in some manufacturing industries. Conclusion: As the number of Scope 3 disclosures, corporate ratings, and total emissions are proportional, it was confirmed that the higher the number of Scope 3 disclosures and GHG emissions, the higher the level of Scope 3 management. Based on Scope 3 emissions calculation and disclosure, effective emissions management and reduction activities are required.
Since the frequency of heavy rainfall is increasing due to climate change, water levels in the river exceed past historical records. The rating-curve is to convert water level into flow dicscharge from the regression analysis of the water level and corresponding flow discharges. However, the rating-curve involves many uncertainties because of the limited data especially when observed water level exceed past historical water levels. In order to compensate for insufficient data and increase the accuracy of flow discharge data, this study estimates the flow discharge in the river computed mathematically using Monte Carlo simulation based on a 1D hydrodynamic numerical model. Based on the existing rating curve, a random combination of coefficients constituting the rating-curve creates a number of virtual rating curve. From the computed results of the hydrodynamic model, it is possible to estimate flow discharge which reproduces best fit to the observed water level. Based on the statistical evaluation of these samples, a method for mathematically estimating the water level and flow discharge of all cross sections is porposed. The proposed methodology is applied to the junction of Yochoen Stream in the Seomjin River. As a result, it is confirmed that the water level reproducibility was greatly improved. Also, the water level and flow discharge can be calculated mathematically when the proposed method is applied.
KSCE Journal of Civil and Environmental Engineering Research
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v.43
no.1
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pp.63-69
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2023
'Carbon-neutrality Assessment based on Technology Application Scenario (CATAS)' provides an analysis of greenhouse gas (GHG) reduction effectiveness when applying carbon-neutrality technology to areas such as energy conversion, transportation, and buildings at certain spatial levels. As for the development scope of the model, GHG emission sources were analyzed for direct GHG emissions, and the boundary between direct and indirect emissions are set according to the spatial scope. The technical scope included nine technologies and forest sinks in the transition sector that occupies the largest portion of GHG emissions in the 2050 carbon neutral scenario. The carbon neutrality rate evaluation methodology consists of four steps: ① analysis of GHG emissions, ② prediction of energy production according to technology introduction, ③ calculation of GHG reduction, and ④ calculation of carbon neutrality rate. After the web-based CATAS-BASIC was developed, an analysis was conducted by applying the new and renewable energy distribution goals presented in the 「2050 Greenhouse Gas Reduction Promotion Plan」 of the Seoul Metropolitan Government. As a result of applying solar power, hydrogen fuel cell, and hydrothermal, the introduction of technology reduced 0.43 million tCO2eq of 1.49 million tCO2eq, which is the amount of emissions from the conversion sector in Seoul, and the carbon neutrality rate in the conversion sector was analyzed to be 28.94 %.
KSCE Journal of Civil and Environmental Engineering Research
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v.43
no.1
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pp.71-77
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2023
With the continuous industrial development, not only natural resource depletion, waste generation, but also various weather conditions are becoming more frequent. Efforts are continuing to recycle industrial by-products to overcome the climate crisis and save resources. Slag is a representative by-product generated in the steel industry, and it is characterized by improving rutting resistance and moisture sensitivity by increasing strength and reducing deformation when used as a material for asphalt concrete. On the other hand, slag has expansion properties so it is used as a relatively low-value-added material such as embankment and refilling materials. In order to expand the application of slag, an experiment was conducted to evaluate the crack resistance of slag asphalt concrete pavement. As a result of the indirect tensile strength test, it was found that the asphalt mixture using slag aggregate showed a value 1.13 times higher than that of the general HMA with the same particle size, and the toughness was 1.17 units, improving crack resistance. In addition, it was found that the failure number of the 4-point beam fatigue experiment and the slag asphalt mixture was 20,409, which was more than doubled compared to the general HMA. Furthermore, Overlay Test showed a tensile load residual rate of 4 times or more, improving crack resistance to repeated fatigue. Accordingly, the use of slag aggregate will likely have various advantages in improving the performance of asphalt concrete pavement.
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