• Journal of Engineering Education Research
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• v.22 no.4
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• pp.32-42
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• 2019

This study is aim to the effects of job satisfaction on the major satisfaction of science and engineering college students and also analyzed the mediating effects of future outlook of job and major relevance in career choice. To do this, structural equation modeling(SEM) and multi-group SEM were applied to data from 2016 Graduate Occupational Mobility Survey(GOMS). In the results of this study, the major satisfaction, future outlook of job and major relevance were positive effects on job satisfaction and the mediating effects of future outlook of job and major relevance were verified. And results of analysis according to gender difference, the coefficient of woman was smaller than man. Among major satisfaction had a positive effect on job satisfaction, job satisfaction fell for women who value their relevance to the major when choosing a job. Based on such results, universities need to further strengthen their role in helping them enhance their expertise through skills and learning about their majors.

• The Korean Journal of Emergency Medical Services
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• v.6 no.1
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• pp.141-152
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• 2002

The purpose of this study is to provide the basic materials for searching the way of improvement to heighten the emergency medical welfare level by one step further. To achieve this purpose, the subjects of this study were selected 452 college students in Gwangju, using a random sampling method. The statistical analysis methods utilized for analyzing the collected data are frequency analysis, $x^2$ test. The conclusions obtained from these analyses are as following ; 1. In question about necessary optimum number of persons for rescue first aid activity, health and non-health major college students responded by 39.2%, 45.3% respectively that rescue team 15 people, first aid team 3 people is most suitable. But there was no significant difference in major department(p<0.05). 2. In question about security of the public health doctor and the emergency medical technician, all health and non-health major college students are recognizing necessity urgently, but there was no significant difference in major department(p<0.05). 3. In question about 119 rescue first aid team member applying for an examination qualification grant to the department of EMT's graduate, all health and non-health major college students were highest by 52.9%, 52.4% respectively in "necessity" item. But there was no significant difference in major department(p<0.05). 4. Because rescue first aid equipment level appears higher than 41.7% in non-health major college student's case by 54.2% in health major college student's case, health major college students are recognizing that equipment level should be supplemented more but there was no significant difference in major department(p<0.05). 5. In question about equipment supplement, all health and non-health major college students appeared highest by 64.8%, 69.3% in accident type different special equipment. But there was no significant difference in major department(p<0.05). 6. In question about rescue ambulance car size, we could know being thinking that health and non-health major college student each 61.2%, 56.5% is small and narrow that large size of the rescue ambulance amount need. But there was no significant difference in major department(p<0.05). 7. In question about patient's state is worsened, because rescue first aid equipment is inferior, health major college student responded sometimes 55.1%, many 29.5%. very many by 11.5%, while non-health major college student responded 65.8%, 23.1%, 4.0% respectively. There was significant difference in major department(p<0.05). 8. In question about emergency patient must utilize for 119 rescue ambulance car, all health and non-health major college students appeared highest by 38.8%, 41.3% in "not so" item. In question about rescue first aid team's first-aid treatment ability improves more, all health and non-health major college students appeared highest by 58.1% and 58.7% respectively in "improve" item. In question about "119 rescue ambulance car must go more rapidly than now", all health and non-health major college students are recognizing that should be quicker by 58.1%, 60.9% respectively. When called to 119 all health and non-health major college students responded highest by 55.5%, 53.3% respectively that we must receive first-aid treatment direction from a doctor. In question about "119 rescue ambulance car must be made the pay system", all health and non-health major college students responded 74%, 80% respectively in "not so" item. There was significant difference in major department(p<0.05). In conclusions, In oder to provide superior rescue first aid service to people, a public health doctor should be placed in the situation room inside the fire station so that the doctor could instruct the proper emergency treatment suitable for each situation to the rescue first aid team. Also, national education about a first-aid treatment that do to all people is necessarily necessary in emergency delivery system and this should be spread extensively through school education and broadcasting medium and education should be gone side by side, and see that will can save emergency patients' life which is more when these education consists continuously fixed period for public institution of policeman, fire officer etc. specially. And for reinforcement of patient transfer system, public organization must procure special ambulance car so that emergency patient receive first aid treatment while transfer.

• Journal of the East Asian Society of Dietary Life
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• v.13 no.3
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• pp.155-166
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• 2003

This study was conducted to investigate the dietary behavior and health-related lifestyles of university students in Incheon arear Self administered questionnaires were collected ken 179 food and nutrition major and non-major students. Statistical data analysis was completed using a SPSS v.10.0 program. The results are summarized as follows: The average weight, height, BMI and PIBW of the major and non-major male and female students were 69.89kg, 172.89cm, 23.4 and 106.49 ; 67.27kg, 173.98cm, 22.2 and 101.35 ; 50.61kg, 161.20cm, 19.53 and 92.25 ; 53.77kg, 161.53cm, 20.56 and 97.18, respectively. The breakfast skipping ratio of the subjects were very high, which was mainly due to the reason“lack of time”More than 75% of male students and 61% of female students responded to have lunch at university canteens or restaurants around campus regularly. About 56% of male students and 68% of female students responded to have dinner irregularly, which mainly caused by the reasons“irregularity of lecture”and “appointment with friends”. The ratio of snacks intake of the subjects were high; Ramyun was the snack item taken the most by the male students and fruits and cookies by the female ones. More than 50% male students and 2% of female students were smokers. A half of students dunk alcohol once or twice a week. The dietary behaviors and health-related lifestyles between major and non-major male students tended to be very similar. The major female students showed more health-oriented dietary behaviors in comparison with the non-major ones. Therefore, they should have a major-oriented and practically organized nutritional education program to correct their dietary behaviors and health-related lifestyles fur health.

• Journal of Technologic Dentistry
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• v.20 no.1
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• pp.121-138
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• 1998

With 1002 students around 8 colleges nationwide joining, the survey was on their knowledge before entering their school, and thereafer, the degree of their satisfaction in their major and professors & lectures. 1. When they chose their major, the most influential was their parents and relatives, the largest number of 435(43.5%) replied, About the motivation for selection their jajor, 454(45.4%) answered the most it seemed to be a bright future specialty. On that question, more freshmen(51.0%) answered theyu expected good trend than sophomores and juniors and more women students(48.8%) did so than men ones.(P<.05) 2. While 619(61.8%) were familiar with major before applying, only 68(6.85%) knew their major very well at that time. More freshmen(62.5%) applied in the state of well-knowing what their major is than sophomores and juniors did.(P<.01) More women students(40.9%) applied not knowing it than the counterpart. About the time for choice, 795(79.5%) answered the most one of application days. More women students(81.0%) chose their major during the application time(P<.01) 3. The satisfaction survey shows 438(43.8%) are satisfied and 165(16.5%) are not. More men students(47.2%) are satisfied.(P<.01) The factor their satisfaction is their major come together with aptitude(44.7%), 196ppl), and the dissatisfaction factor is the difficulty of the theory and practice.(30.8%, 171ppl) 4. If they could change their major, 454(46.6%) wouldn't do so, while 541(54.4%) would shift their major to other fields. More freshmen(49.5%) wouldn't change than sophomores and juniors. Neither did more men students(4938%) than women. Within the same grade, there's no meaninful difference.(P<.01) 5. On the satisfaction in the lectures of the professors of their major, 464(46.5%) said the lecutres are excellent, 102(10.2%), they are not. About the lectures of the liberal subjects, 193(19.4%) said are excellent, 365(36.6%) are not.

• Journal of the Korean Society for Aviation and Aeronautics
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• v.31 no.3
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• pp.119-132
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• 2023

In recent years, the competition for employment among college students has become more intense. It is also the time when strong personal beliefs and will to develop careers are required for successful employment through stable major study. Therefore, in this study, we tried to find out the effect on major attitude and employment efficacy according to the level of aviation safety perception, which is an important issue in the aviation industry. For analysis, survey is conducted targeting college students majoring in aviation service who are enrolled in universities in the metropolitan area and Chungcheong area. To verify the hypotheses of the study, demographic characteristics are identified based on questionnaires, reliability and validity of measurement items are verified, and structural equation model analysis is performed to verify the hypotheses. The analysis results are as follows. First, it is found that safety knowledge and safety consciousness, which are sub-factors of aviation safety perception of college students majoring in aviation service, have a positive (+) effect on subject recognition, learning process recognition, and career recognition of major recognition. Second, subject recognition, learning process recognition, and career recognition, which are sub-factors of major recognition, are found to have a positive effect on major commitment. Third, it is found that major commitment have a positive (+) effect on employment efficacy. Based on the research results, practical support plans and strategies for effective major study and successful employment are presented.

• Proceedings of the KSAR Conference
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• 2004.06a
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• pp.186-186
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• 2004

In this study, we generated 40 somatic cell cloned (scNT) piglets. Of these, three displayed congestion in both liver and lung, and died within the first week of life. Two-dimensional gel electrophoresis experiments revealed changes in the responses of several detoxification-related proteins to stress and inflammation. As a result, congestive livers and lungs displayed extensive hepatopneumonic apoptosis.(omitted)

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.11 no.3
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• pp.1650-1669
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• 2017

In this study, each pixel in an ear is used as a centroid to generate a cake. Subsequently the major axis length of this cake is computed and obtained. This obtained major axis length serves as a feature to recognize an ear. Later, the ear hole is used as a centroid and a 16-circle template is generated to extract the major axis lengths of the ear. The 16-circle template extracted signals are used to recognize an ear. In the next step, a ring-to-line mapping technique is used to map these major axis lengths to several straight-line signals. Next, the complex plane vector computing technique is used to determine the similarity of these major axis lengths, whereby a solution to the image-rotating problem is achieved. The aforementioned extracted signals are also compared to the ones that are extracted from its neighboring pixels, whereby solving the image-shifting problem. The algorithm developed in this study can precisely identify an ear image by solving the image rotation and image shifting problems.

• 대한생식의학회:학술대회논문집
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• 2003.12a
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• pp.92-92
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• 2003

• Journal of Technologic Dentistry
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• v.23 no.2
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• pp.17-47
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• 2002

The purpose of this study was to examine the 2001 curricula in 17 departments of dental technology across the nation in an attempt to find out the educational realities of the departments by term and school year and serve as a basis for the development of more advanced, efficient dental technology curriculum and common educational objectives. For that purpose, the 2001 curricula of the three-year dental laboratory technology departments were analyzed by school year and term to calculate the amount of required credit, the number of subjects, and the weekly classes for electives and major. The findings of this study could be listed as below: 1. The departments of dental laboratory technology nationwide investigated require students to get 120 to 135 credits in total. Out of the credits, 10 to 25 credits are assigned to the electives, and 106 to 11 8 credits are given to the major. 2. There are 50 to 68 subjects in the departments of dental technology. 5 to 16 subjects are the electives, and 41 to 59 are the major. 3. There are 150 to 196 classes per week, which consist of 10 to 30 ones for the electives and 137 to In for the major. 4. The curricula for the first semester of the first year are as follows: 1) 20 to 24 credits are required. 4 to 11 credits are alloted to the electives, and 9 to 19 credits are assigned to the major. 2) The number of subject is 9 to 13, which are composed of 2 to 7 for the electives and 4 to 9 for the major. 3) The weekly classes are 22 to 29. The classes for the electives range from 4 to 14 per week, and 10 to 20 classes a week are for the major. 5. The curricula for the second semester of the first year are as below: 1) There are 20 to 25 credits. 3 to 12 credits are assigned to the electives, and 12 to 19 credits are for the major. 2) The number of subject is 10 to 14, which consist of 2 to 6 for the electives and 6 to 10 for the major. 3) The weekly classes are 22 to 29. and 3 to 12 classes a week are for the electives, and 15 to 24 classes are for the major. 6. The curricula for the first semester of the second year are as below: 1) The number of credits ranges from 20 to 24. Only six colleges offer 2 credits for the electives and the major account for 18 to 24 ones. 2) There are 8 to 12 subjects. Only six colleges offer one or two electives, and 8 to 12 are the major. 3) The weekly classes are 23 to 33. Only six colleges offer 2 or 3 classes a week for the electives, and 21 to 33 classes are for the major. 7. The curricula for the second semester of the second year are as below: 1) The number of credits ranges from 19 to 24. Only two colleges offer 2 credits for the electives and the major account for 18 to 24 ones. 2) There are 7 to 12 subjects. Only two colleges offer one or two electives, and 8 to 12 are the major. 3) The weekly classes are 24 to 36. Only two colleges offer 2 classes a week for the electives, and 24 to 36 classes are for the major. 8. The curricula for the first semester Of the third year are as below: 1) There are 16 to 24 credits. Just a college assigns 2 credits to the electives, and 16 to 24 credits are given to the major. 2) The number of subject is 5 to 12. Only a college offers one elective for optional course, and 5 to 12 are the major. 3) The weekly classes range from 18 to 39. Just a college offer 2 classes a week for the electives, and 18 to 39 classes are for the major. 9. The curricula for the second semester of the third year are as below: 1) There are 16 to 23 credits. Just a college assigns 2 credits to the electives, and 16 to 23 credits are given to the major. 2) The number of subject is 5 to 12. Only a college offers one elective for optional course, and 5 to 12 are the major. 3) The weekly classes range from 18 to 39. Just a college offer 2 classes a week for the electives, and 18 to 39 classes are for the major.

• 한국생물공학회:학술대회논문집
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• 2005.04a
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• pp.300-300
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• 2005