• Title/Summary/Keyword: influencing factors

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The gene expression programming method to generate an equation to estimate fracture toughness of reinforced concrete

  • Ahmadreza Khodayari;Danial Fakhri;Adil Hussein, Mohammed;Ibrahim Albaijan;Arsalan Mahmoodzadeh;Hawkar Hashim Ibrahim;Ahmed Babeker Elhag;Shima Rashidi
    • Steel and Composite Structures
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    • v.48 no.2
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    • pp.163-177
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    • 2023
  • Complex and intricate preparation techniques, the imperative for utmost precision and sensitivity in instrumentation, premature sample failure, and fragile specimens collectively contribute to the arduous task of measuring the fracture toughness of concrete in the laboratory. The objective of this research is to introduce and refine an equation based on the gene expression programming (GEP) method to calculate the fracture toughness of reinforced concrete, thereby minimizing the need for costly and time-consuming laboratory experiments. To accomplish this, various types of reinforced concrete, each incorporating distinct ratios of fibers and additives, were subjected to diverse loading angles relative to the initial crack (α) in order to ascertain the effective fracture toughness (Keff) of 660 samples utilizing the central straight notched Brazilian disc (CSNBD) test. Within the datasets, six pivotal input factors influencing the Keff of concrete, namely sample type (ST), diameter (D), thickness (t), length (L), force (F), and α, were taken into account. The ST and α parameters represent crucial inputs in the model presented in this study, marking the first instance that their influence has been examined via the CSNBD test. Of the 660 datasets, 460 were utilized for training purposes, while 100 each were allotted for testing and validation of the model. The GEP model was fine-tuned based on the training datasets, and its efficacy was evaluated using the separate test and validation datasets. In subsequent stages, the GEP model was optimized, yielding the most robust models. Ultimately, an equation was derived by averaging the most exemplary models, providing a means to predict the Keff parameter. This averaged equation exhibited exceptional proficiency in predicting the Keff of concrete. The significance of this work lies in the possibility of obtaining the Keff parameter without investing copious amounts of time and resources into the CSNBD test, simply by inputting the relevant parameters into the equation derived for diverse samples of reinforced concrete subject to varied loading angles.

Factors Influencing the Disaster Nursing Competency of Nursing College Students (간호대학생의 재난간호역량에 미치는 영향요인)

  • Nam Jiin;Cho Kyeonghwa;Park Meera
    • The Journal of the Convergence on Culture Technology
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    • v.9 no.4
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    • pp.383-392
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    • 2023
  • This study was a descriptive survey study for nursing college students to identify disaster awareness, attitude, disaster preparation, nursing professionals, social support, and disaster nursing capabilities, and to prepare measures to improve disaster nursing capabilities by identifying predictors of disaster nursing capabilities. Data collection was collected from 160 nursing students in G-do from March 27 to April 7, 2023, and a total of 158 copies were finally analyzed. Using the SPSS Win. 25.0 program, technical statistics, t-test, one-way ANOVA, Pearson correlation coefficient, and hierarchical multiple regression were analyzed. The result show that fourth grade(β=.20, p=.027), disaster nursing education is 'existent'(β=.15, p=.041), disaster readiness(β=.27, p<.001) nursing professional(β=.21, p=.012) was found to be a significant predictor of disaster nursing competency. Disaster preparation was found to be the best predictor of disaster nursing competency, followed by "nursing professionals," "fourth grade," and "disaster nursing education" with 26.3% of explanatory power. According to the findings of this study, it is necessary to develop an integrated education program for disaster nursing practice that can enhance awareness of disasters, attitudes toward disasters, disaster preparation, nursing professionals, and social support.

The Formation of Linear Thinking in Traditional Chinese Music and Its Causes (중국 전통음악 선형적 사유의 형성과 그 원인)

  • Li Ruibiao
    • The Journal of the Convergence on Culture Technology
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    • v.9 no.2
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    • pp.429-436
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    • 2023
  • Traditional Chinese music has a deep indigenous color and has its own unique way of thinking and characteristics. A consensus has already been formed that linear thinking is a major feature of traditional Chinese music, and it has been implemented in both traditional multi-tone and single-tone music. It is mainly expressed in the form of single-tone music or single-tone music. This linear thought of traditional Chinese music is formed by influencing factors in various fields. For example, it is related to national culture, geographical and natural environment, religious and philosophical background, traditional Chinese notation, individual characteristics of traditional musical instruments, Yulje, composition, and transmission methods. This thinking is different from Western classical music that pursues three-dimensional thinking, and Western music emphasizes the harmony of harmony, harmony of tone and texture, logic and identity of structure, and emphasizes the aspect of space. However, traditional Chinese music emphasizes the horizontal development of melody, the fluency of ancestors, and the continuity of structure. We aims to analyze the causes of linear thinking of traditional Chinese music so that it can be more useful in educational aspects and promote the succession and development of traditional music by transferring knowledge of ethnic music.

Epidemiologic Characteristics of Death in Breast Cancer Patients and Health Promotion Plans : Using Korean Cancer Registry data (유방암 환자 사망의 역학적 특성과 건강증진 방안 : 국가 암등록 자료를 이용하여)

  • Young-Hee Nam
    • The Journal of Korean Society for School & Community Health Education
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    • v.24 no.1
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    • pp.1-15
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    • 2023
  • Objectives: The purpose of this study was to identify the major influencing factors of breast cancer death and to suggest policy measures to promote the health of breast cancer patients. Methods: The method of this study performed statistical analysis by applying weights to 2,300 cases of breast cancer registration statistics in Korea collected in 2018 due to the relatively small number of mortality data compared to survival. Statistical processing of the collected data was analyzed using SPSS 26.0. Results: The epidemiologic characteristics of death in breast cancer patients were 31.8% in those aged 70 years or older, and the mortality rate was 5.25 times higher in patients aged 70 years or older than those aged 39 years or younger. The anatomical site code was 36.4% in C50.4~C50.6, and the mortality rate was 1.82 times higher in C50.4~C50.6 than in C50.0~C50.1. The tumor size was 40.4% and larger than 4cm, and the mortality rate was 4.53 times higher in tumors larger than 4cm than those smaller than 1cm. The degree of differentiation was 13.9% in the poorly differentiated group, and the mortality rate was 4.38 times higher in the poorly differentiated group than in the highly differentiated group. In the hormone receptor test, non-triple negative cases were 59.6%, and the mortality rate was 0.57 times lower in non-triple negative cases than in triple negative cases. As for lymph node involvement, the presence or absence of lymph node involvement was 78.8%, and the mortality rate with lymph node involvement was 1.36 times higher than that without lymph node involvement. The survival period of 13 to 24 months was the highest at 26.5%, and the average survival period was 25.68 months (±14.830). Conclusion: A policy to advance the timing of national health examinations for early detection of breast cancer is necessary. In addition, a bill for the mandatory placement of health educators in medical institutions for patients with special diseases such as breast cancer should be prepared.

Risk-based Profit Prediction Model for International Construction Projects (해외건설공사의 리스크 분석에 기초한 수익성 예측모델에 관한 연구)

  • Han, Seung-Heon;Kim, Du-Yon
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.26 no.4D
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    • pp.635-647
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    • 2006
  • Korean construction companies first advanced to the international markets in 1960's and so far have brought more than 4,900 projects which account for 193 billion dollars approximately. With the large increase of national employment and income being followed by the achievement, Korea's construction industry has made an enormous contribution to the improvement of domestic economy for the last 40 years. However, recently the increased risk in international markets as well as the sharpening competition with foreign companies promising in terms of advanced technologies and low labor cost have been driving Korean construction away from the market shares. According to ENR (Engineering News Record, 1994~2003), it is revealed that 15.1% of top 225 global contractors are suffering from loss in international construction markets. This phenomenon is largely due to the highly uncertain characteristics of international projects, which are inherently exposed to various and complicated risky situations. Furthermore, especially for Korean construction companies, it is often the case that the failure in an international construction project cannot be offset by even a sufficient number of successful domestic achievements. Therefore, not only the selective screening among the nominated projects which have strong possibility of collapse but the systematic strategies for controlling potential risk factors are also considered indispensable in international construction portfolio management. The purpose of this study is to first analyze the causal relationships of the profit-influencing variables and the project success, and develop the profitability forecasting model in international construction projects.

Influence of Mineral Admixtures on the Diffusion Coefficient for Chloride Ion in Concrete (광물질 혼화재가 콘크리트의 염소이온 확산계수에 미치는 영향)

  • Bae, Su-Ho;Park, Jae-Im;Lee, Kwang-Myong;Choi, Sung
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.29 no.4A
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    • pp.347-353
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    • 2009
  • The qualitative factors influencing the ingress of chloride ion into concrete are water-binder (W/B) ratio, cement type, age, chloride ion concentration of given environment, wet and dry conditions, etc. Thus, an objective of this experimental research is to investigate the effects of cement types and environmental conditions on the chloride ion diffusion characteristics in concrete through the chloride ion diffusion test. For this purpose, the diffusion coefficients for chloride ion in concrete with three types of cement such as ordinary portland cement (OPC), binary blended cement (BBC), and ternary blended cement (TBC), were measured for the concrete specimens with W/B ratios of 32%, 38%, and 43%, respectively. The diffusion coefficients for chloride ion were also measured for the concrete specimens with W/B ratio of 43%, which were subjected to standard curing and field exposure conditions. It was observed from the test results that the resistance against chloride ion penetration increased with decreasing W/B ratio and those of BBC and TBC concretes were greater than that of OPC concrete. Therefore, it was revealed that the use of these cements containing mineral admixtures is required to extend the service life of RC structures exposed to chloride environment. On the other hand, it was noted that the resistance against chloride ion penetration of field exposure test specimens was slightly lower than that of standard curing test specimens due to the penetration of chloride ion under the irregular ambient temperature, splash of wave, and cycle of wet and dry.

Development of Hazard-Level Forecasting Model using Combined Method of Genetic Algorithm and Artificial Neural Network at Signalized Intersections (유전자 알고리즘과 신경망 이론의 결합에 의한 신호교차로 위험도 예측모형 개발에 관한 연구)

  • Kim, Joong-Hyo;Shin, Jae-Man;Park, Je-Jin;Ha, Tae-Jun
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.30 no.4D
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    • pp.351-360
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    • 2010
  • In 2010, the number of registered vehicles reached almost at 17.48 millions in Korea. This dramatic increase of vehicles influenced to increase the number of traffic accidents which is one of the serious social problems and also to soar the personal and economic losses in Korea. Through this research, an enhanced intersection hazard prediction model by combining Genetic Algorithm and Artificial Neural Network will be developed in order to obtain the important data for developing the countermeasures of traffic accidents and eventually to reduce the traffic accidents in Korea. Firstly, this research has investigated the influencing factors of road geometric features on the traffic volume of each approaching for the intersections where traffic accidents and congestions frequently take place and, a linear regression model of traffic accidents and traffic conflicts were developed by examining the relationship between traffic accidents and traffic conflicts through the statistical significance tests. Secondly, this research also developed an intersection hazard prediction model by combining Genetic Algorithm and Artificial Neural Network through applying the intersection traffic volume, the road geometric features and the specific variables of traffic conflicts. Lastly, this research found out that the developed model is better than the existed forecasting models in terms of the reliability and accuracy by comparing the actual number of traffic accidents and the predicted number of accidents from the developed model. In conclusion, it is expect that the cost/effectiveness of any traffic safety improvement projects can be maximized if this developed intersection hazard prediction model by combining Genetic Algorithm and Artificial Neural Network use practically at field in the future.

A Survey on Dining-out Behaviors and Food habits of Housewives in Daejon (대전시 주부의 외식행동 및 식습관에 대한 조사)

  • Lim, Young-Hee;Na, Myeung-In
    • Journal of the Korean Society of Food Culture
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    • v.23 no.1
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    • pp.1-9
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    • 2008
  • This study aimed to offer some basic data for nutrition education to housewives by comparing behaviors of eating out targeted on housewives who live in Daejon surveyed by classification of regions and by family forms. As for their ages, 79 housewives (16.0%) are less than 30, 179 housewives (36.8%) are between 30 and 39, 156 housewives (35.9%) are between 40 and 49 and 74 housewives (15.2%) are more than 50, and as for their final academic careers, 204 housewives (41.9%) graduated from universities, which was the most and as for religions, 172 housewives (35.3%) had no religion, which was the most, and in the case that they had religions, 137 housewives (27.5%) believed in Christianity. And as for occupations, 327 housewives (69.0%) had no job, and in case they had jobs, 123 housewives (25.3%) that occupied the most were professional. As for husbands’ occupations, profession was the most for 143 housewives (29.4%) and as for monthly income, $2\; million\;won{\sim}3\;million$ won was most as 40.0%. As for times of eating out, ‘4 times a year’ was said by 131 housewives (26.9%), which was the most, and as for the times of food home service, ‘seldom’ was said by 221 housewives (45.4%), and as to the expense for eating out a month, ‘less than 100,000 won’ was said by 219 housewives (45.0%), which was the most, and as for the reasons of their eating out, ‘for harmony in a family’ was said by 119 housewives (24.4%). As for times of eating out by general items of housewives, it was appeared that the younger, the higher in education, less in religion, more in occupation, the more professional in their husbands’ jobs, the more nuclear in family forms, fewer in number of family members and the more average family income per a month, they had more times of eating out. Regarding the factors influencing on eating out, ‘high price’, ‘nutritive imbalance’ and ‘use of MSG’ were pointed by 204 housewives (41.9%), 83 housewives (17.0%) and 63 housewives (12.9%) respectively as the problems of food service shops. And as for the question why their went to their regular restaurants, 185 housewives (38.0%) said ‘taste of food’, and the most considerable thing when they selected menu at a restaurant was ‘taste of food’ for 167 housewives (34.3%). The survey showed that a lot of housewives thought the prices at restaurants were high, and they valued taste of food most, therefore food service shops should improve the taste and nutrition of food.

An Analysis of Factors Influencing Preservice Early Childhood Teachers' Education Commitment - Focusing on Education Practicum, Teacher Efficacy, Emotional Intelligence - (예비 영·유아교사들의 교육헌신에 영향을 미치는 요인분석 - 교육실습, 교사 효능감, 정서지능을 중심으로 -)

  • Kim, Bo-Young
    • Journal of Korea Entertainment Industry Association
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    • v.13 no.7
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    • pp.385-395
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    • 2019
  • The purpose of this study is to cultivate the attitudes of preservice early childhood teacher's commitment by analyzing the effects of education practicum, teacher efficacy, and emotional intelligence on teacher's education commitment and analyzing the relationship between them. To this purpose, a total of 150 questionnaires were distributed to 75 preservice early childhood teachers of the metropolitan area from November 1, 2018 to March 2019. The results of the study were as follows: First, education commitment of preservice early childhood teachers was positively correlated with teachers' efficacy, emotional intelligence, and education practicum experiences. Second, education commitment increased when the emotional intelligence increased before the education practicum experience, and education commitment increased when the teacher's efficacy increased after education practicum experience. In light of these, It suggests that programs or content education that can strengthen emotional intelligence are effective before education practicum. and that programs or content education that enhance teacher efficacy capacity are more effective after education practicum.

A Study of Influential Factors on Health Promoting Behaviors of the Elderly: Focusing on Senior Citizens Living in Seoul (노인의 건강증진행위 영향요인에 관한 연구: 서울지역 거주노인을 중심으로)

  • Kim, Hyesook;Junsoo, Hur
    • 한국노년학
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    • v.30 no.4
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    • pp.1129-1143
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    • 2010
  • The purposes of this study were to investigate the major determinants influencing on health promoting behaviors(HPB) of the elderly living in Seoul. The conceptual framework of the study was Pender's health promoting model and the ecological perspectives. The study was conducted with 495 elderly persons whom 60 years old. For the analysis of data, descriptive statistics and hierarchical regression were used for the statistical analysis with SPSS program. The results were as following: 1) The mean score of the HPB was 3.11(SD=0.41). 2) Hierarchical regression analysis found that ModelIV accounted for 55.7% of the variance in HPB. 3) The Major determinants on HPB among the elderly persons were prior related perceived benefits of action, social support, perceived self-efficacy, community environment, perceived health status, education, and age. In conclusions, first, we should develop to various levels of educational and supportive programs for the HPB among the elderly persons. Second, we should examine more with environment, the accessibility to senior welfare agencies. Third, we should be organized the self-help groups for the elderly persons to improve health promoting behaviors. Fourth, the government should established more secure environment for the HPB, and find better solutions that are provided by various social welfare agencies connected with the coordination of the services in the local communities. Finally, we should develop professional education training programs of the HPB for the practitioners in the field of Gerontological Social Work.