The purpose of this study was to the real situation of the safety education in the kindergarten by investigating the actual condition of the safety education and kindergarten teachers' knowledge about it. Questionnaire was adopted to obtain data required for pertinent analysis. The subjects were 234 kindergarten teachers located in Choongnam and Daejeon province. SPSSWIN v10.0 was utilized to calculate percentage, mean and standard deviation and to conduct t-test, one-way ANOVA and Duncan's multiple range test. The main results of this study were as follows. There was a significant difference between the actual condition of the safety education and kindergarten teachers' knowledge about it according to demographic variables. Especially, these differences were due to teachers' academic career, age, teaching experience, and the experience of bringing up children by themselves. The importance of the safety education must be emphasized. There were urgent needs to develop the way of teaching and the program about the safety education.
Hospitalized patients' perceptions of the quality of hospital food and their importance were surveyed through questionnaires by 820(men 435, women 385) hospitalized patients in Seoul. The results are as follows: Men rated the size of food portion as being smaller, compared with women. The mean rating for nutrition of food was 3.24, freshness 3.15, taste 2.88, temperature 2.82; Among the food characteristics, nutrition was considered important by largest percentage(75.5%) of respondents, the taste ranked second(74.4%), and freshness was 62.2%; Appetite, atmosphere of ward were positively correlated(p<0.001) with rating of the taste, nutrition, and freshness, but length of hospitalization was negatively correlated (p<0.001) with them; Multiple regression analysis showed that appetite made the greatest contribution and length of hospitalization made the second greatest contribution. The third was atmosphere of ward, and the forth mood condition.
International Journal of Naval Architecture and Ocean Engineering
/
v.12
no.1
/
pp.428-439
/
2020
The continuous development of information and communication technologies has resulted in an exponential increase in data. Consequently, technologies related to data analysis are growing in importance. The shipbuilding industry has high production uncertainty and variability, which has created an urgent need for data analysis techniques, such as machine learning. In particular, the industry cannot effectively respond to changes in the production-related standard time information systems, such as the basic cycle time and lead time. Improvement measures are necessary to enable the industry to respond swiftly to changes in the production environment. In this study, the lead times for fabrication, assembly of ship block, spool fabrication and painting were predicted using machine learning technology to propose a new management method for the process lead time using a master data system for the time element in the production data. Data preprocessing was performed in various ways using R and Python, which are open source programming languages, and process variables were selected considering their relationships with the lead time through correlation analysis and analysis of variables. Various machine learning, deep learning, and ensemble learning algorithms were applied to create the lead time prediction models. In addition, the applicability of the proposed machine learning methodology to standard work hour prediction was verified by evaluating the prediction models using the evaluation criteria, such as the Mean Absolute Percentage Error (MAPE) and Root Mean Squared Logarithmic Error (RMSLE).
Marwah Abbas Hadi;Saif Alzabeebee;Suraparb Keawsawasvong
Geomechanics and Engineering
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v.32
no.5
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pp.483-494
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2023
High-speed trains became common nowadays due to the need for fast and safe mean to transport goods and people. However, the use of high-speed trains necessitates the examination of the critical speed, which is the train speed at which the maximum settlement of the railway track occurs. The critical speed and railway track settlement have been investigated considering only one train in previous studies. However, it is normal to have two adjacent trains moving at the same time. This paper aims to understand how the interference of two moving trains affects the settlement and critical speed of ballasted railway track. Calibrated three-dimensional finite element models of railway track subjected to one moving train and two moving trains have been developed to address the aim of the study. It is found that the interference dramatically increases the railway track settlement with a percentage increase ranges between 5 and 100%. It is also found that the percentage increase of the railway track settlement depends on the train speed and the distance between the moving trains. In addition, it is found that the thickness of the ballast layer and the stiffness of the subgrade have minor influence on the percentage increase of the settlement. Importantly, the results of this paper illustrate the importance of the interference of the moving trains on the dynamic response of the railway track. Thus, there is a need to consider the dynamic interaction between the adjacent moving trains in the design of railway track foundation.
The purpose of this study is to classify the expenditure behaviors of housewives into some types and to identify the characteristics of the types focucing on diverse expenditure behaviors of urban households. In this study it is assumed that the expenditure behaviors are classified by there factors-(1)the orientation of money saving (2)the orientation of time saving and (3)the orientation of others. The present study suggests following three questions. (1). Can the expenditure behaviors of urban housewives be classified according to the orientation of money saving the orientation of others? (2) What distictions exist among the types? (3) Which variables are useful in classifying the expenditure behaviors? For empirical analysis the data of the study was collected from 650 housewives living in Seoul. The statistical methods adopted for data analysis are frequency percentage mean Pearson's correlation coefficient factor analysis cluster analysis one way ANOVA Duncun's multiple ran e test and discriminant analysis. As the major findings 4 types were extracted, According to the level of each dimensions the names for the each type were given as "the type of attaching importance to money saving" "the type of attaching importance to time and appearance" "the type of attaching importance to money saving and time" "the type of attaching importance to money saving and time" "the type of attaching importance to money saving and time" "the type of attaching importance to money saving and appearance" In "the type of attaching importance to money saving" the significant portion of housewives have high school degrees and compared with other types this type includes more husbands having sales and service job 55% of housewives of "The type of attaching importance to time and appearance" have graduate or higher degrees. The significant part of earned incomes range from 3 million won to 5 million won. The rate of housewives employed in the professional job is higher than other types. In "The type of attaching importance to money saving and time" the rate of the employment of housewives in this type is the highest among the types. In "The type of attaching importance to money saving and appearance" the significant portion of housewives have graduate degrees. In the jobs of he spouses the management job is major. The consciousness of belonging to the middle class is higher than other types. In this type the level of education is high but that of income is not. The result of the discriminant analysis says that the earned income and the consciousness of belonging to a calss are the most critical variables to classify the expenditure behaviors into 4 type The accuray of the classification of the discrimination equation composed of these variables is 47,5% The accuracy is improved by 10%.
Objective : The aim of this study was to analyze the correlation between thromboembolic complications and anti platelet drugs before and after neurointervention. Methods : Blood samples and radiographic data of patients who received a neurointervention (coil embolization, stent placement or both) were collected prospectively. Rapid platelet function assay-aspirin (RPFA-ASA) was used to calculate aspirin resistance in aspirin reaction units (ARU). For clopidogrel resistance, a P2Y12 assay was used to analyze the percentage of platelet inhibition. ARU > 550 and platelet inhibition < 40% were defined as aspirin and clopidogrel resistance, respectively. Results : Both aspirin and clopidogrel oral pills were administered in fifty-three patients before and after neurointerventional procedures. The mean resistance values of all patients were 484 ARU and < 39%. Ten (17.0%) of 53 patients showed resistance to aspirin with an average of 597 ARU, and 33 (62.3%) of 53 patients showed resistance to clopidogrel with an average of < 26%. Ten patients demonstrated resistance to both drugs, 5 of which suffered a thromboembolic complication after neurointervention (mean values : 640 ARU and platelet inhibition < 23%). Diabetic patients and patients with hypercholesterolemia displayed mean aspirin resistances of 513.7 and 501.8 ARU, and mean clopidogrel resistances of < 33.8% and < 40.7%, respectively. Conclusion : Identifying individuals with poor platelet inhibition using standard regimens is of great clinical importance and may help prevent cerebral ischemic events in the future. Neurointerventional research should focus on ideal doses, timing, choices, safety, and reliable measurements of anti platelet drug therapy, as well as confirming the clinical relevance of aggregometry in cerebrovascular patients.
Purpose: The purpose of this study was to explore EMT-paramedic students' experience of simulation education and analyze the confidence before and after education, learning attitude and course evaluation. Method: Research survey was conducted on 38 EMT-paramedic students during November, 2011 and EMT-paramedic students' experience of simulation education was analyzed after applying head, spinal, and chest injury scenario. The confidence before and after education, learning attitude and course evaluation in gender were analyzed by Mann-Whitny U test and the difference of confidence before and after education was analyzed by Wilcoxon signed rank test and learning attitude & course evaluation were analyzed by evaluating frequency, percentage, mean, standard deviation by using SPSS WIN 17.0 program. Results: 1. Students experienced various advantages such as increasing interest and self-reflection on learning, critical thinking ability, and EMT-paramedic-role experience and recognition of importance of teamwork. Students also pointed out disadvantages such as gap between real situation and simulation, limit of time and equipments, and burden of demonstration. 2. The confidence between before and after education, learning attitude and course evaluation in gender were not significant different statistically. 3. Confidence mean score elevated from 5.53(before education) to 5.87(after education), but the difference in their confidence did not show significant difference statistically. 4. Total mean score in learning attitude after simulation education was 3.70 out of 5.00, which is considerably very high. 5. Total mean score in course evaluation was 3.89 with score of 3.83 in evaluation in learning environment and 3.99 in evaluation of debriefing. Conclusion: The finding of this study demonstrate that the simulation education can provide a safe and repetitive practice environment, improve problem-solving ability and critical thinking, and increase the confidence in prehospital emergency care; therefore, simulation may be the new effective EMT-paramedic education strategy.
The valley forests at Songgyesa-Motbong-Wolhatan Area in Deogyusan National Park were studied to investigate forest structure in relation to aspect and altitude of the slope. Density, mean DBH, mean height and basal area of the tree and subtree layers in the north-facing slope were greater than those in the south-facing slope. The impotance percentage of Fraxinus mandshurica and Carpinus cordata increased with increasing elevation while those of Quercus serrata and Quercus aliena decreased. Species diversity of the north-facing slope was 1.362 and that of the south-facing slope was 1.242. There was a tendency that number of species and species diversity decreased with increasing elevation. The result of cluster analysis for the tree and sub-tree layer indicated that the studied forests were classified into broad-leaved tree species community at the low and middle elevation belts of the south-facing slope and the north-facing slope, Fraxinus mandshurica-Quercus mongolica community at the high elevation belts of the south-facing slope and the north-facing slope and Quercus mongolica community at the top area. There were significantly positive correlations in the importance percentages among Quercus serrata, Betuzo davurica and Tilia amurensis. Carpinus laxiflora was significantly correlated with Cornus controversa, Tilia amurensis and Lindera obtusiloba. There was significantly negative correlation between Fraxinus mandshurica and Pinus densiflora.
This study was conducted to evaluate the vegetation structure of 34 plots for inspection(plot unit: $100m^2$)of evergreen broad-leaved forest in Dongbaekdongsan(Mt.), Jeju-do, Korea. In accordance with the results of TWINSPAN and mean importance percentage analysis, the target forest was aged $28{\sim}52$, and classified into seven community types in total: Ilex rotunda community, Castanopsis sieboldii community, Castanopsis sieboldii-Quercus glauca community, Quercus glauca-Castanopsis sieboldii community, Quercus glauca community, Quercus glauca-Camellia japonica community, and Quercus glauca-Styrax japonica community. According to the results of importance percentage analysis and DBH class distribution of major woody species, the vegetational aspects showed that the dominant species were Castanopsis sieboldii and Quercus glauca in the canopy layer and Camellia japonica in the subordinate layer. Ilex rotunda and Quercus glauca-Styrax japonica community were damaged vegetation in the canopy layer. According to the index of Shannon's diversity in the six communities including the dominant species - Quercus glauca and Castanopsis sieboldii, their species diversity degree was $0.8745{\sim}1.3018$ and that of Ilex rotunda community was the lowest 0.7619. Camellia japonica, Eurya japonica, Ilex rotunda, Trachelospermum asiaticum var. intermedium, Ardisia crenata appeared in all the seven communities. In addition, Litsea coreana and Cinnamomum japonicum as well as Neolitsea serica presumed as climax species in the warm temperate climate also appeared and the constancy ratio of Cinnamomum japonicum was more than 80%. As a result, the target forest in Dongbaekdongsan(Mt.) was mainly compose of Castanopsis sieboldii and Quercus glauca in the canopy layer as a mixed vegetational pattern, and Cameliia japonica was dominant in the subordinate layer. Continuous monitoring was required, since Camellia japonica was strong in the subordinate layer in contrast to the weakness of Litsea coreana and Neolitsea serica reported as the species of climax stage in the forest with Evergreen Broad-leaved Vegetation at a viewpoint of successional direction.
The importance value and volume growth percentage, based on the data obtained from 33 quadrats by $relev{\acute{e}}$ method of Mueller-Dombois and Ellenberg, were applied to investigate Pinus thunbergii forests in Taean Haean National Park. The investigation was done from July till September 1996. 1. The dominant species of tree were found in the order of Pinus thunbergii, Quercus dentata, Robinia pseudcacacia, Platycarya strobilacea, Carpinus coreana, Albizzia julibrissin, Pinus densi-thunbergii, and Quercus serrata 2. The volume growth percentage of Pinus thunbergii was about 0.6%~10.5% and the mean of it's was 3.8%. 3. Chemical properties of forest soil showed ranging pH 4.8~6.3, organic matter 1.51~11.79%, $P_2O_5$ 2.5~14.5ppm, $Ca^{{+}{+}}$ 1.3~6.6(me/100g), $Mg^{{+}{+}}$ 0.4~2.6(me/100g), and $K^+$ 0.23~1.89(me/100g).
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