• Journal of Physiology & Pathology in Korean Medicine
• /
• v.28 no.2
• /
• pp.243-250
• /
• 2014

This study examined the knowledge and understanding of integrative medicine in Korea, specifically conflicts between western and oriental medicine within Parallel (Dual) health care systems. Qualitative methodology using grounded theory guided semi-structured, in-depth interviews with Western Medical Doctors (W.M.D., n = 6), Oriental Medical Doctors (O.M.D., n = 5) and Traditional Chinese Medicine Practitioners (T.C.M.P., n = 4). Thematic analysis was used to determine broad themes from the interviews. 15 professionals (W.M.D. (40%), O.M.D. (33%), T.C.M.P. (27%), 10 males (67%) and 5 females (33%), mean age 45) were interviewed, recorded, and transcribed. Thematic analysis revealed three key themes: systematic conflicts, integration and future directions. Subthemes of systematic conflicts included: credibility of Oriental Medicine, commercial imperatives, maintaining social standing of O.M.D., professional qualifications and lack structures supporting collaborative practice. Integration subthemes included lack of academic linkage and clarity for appropriate triage, opposing medical paradigms and limited social imperative. Future directions should include: social justification, guarantee of oriental medicine legitimacy, role of government and understanding of scientific evidence. To successfully integrate dual medical systems there is a need to address differences in social-environmental factors and perceptions of scientific understanding, as well as developing strong academic links in clinical practice.

• Journal of Korean Clinical Nursing Research
• /
• v.21 no.3
• /
• pp.319-334
• /
• 2015

Purpose: The aim of this study was to analyze various nursing services of delivery room nurses by hospital level, and identify importance and frequency to provide baseline data to establish delivery room nurses' roles. Methods: Through DACUM analysis technique, service descriptions, duties, and tasks were derived from the literature. A survey was done of 242 nurses from delivery rooms of hospitals, general hospitals, superior general hospitals, and special hospitals. Importance and frequency of each service were measured using a 4point scale, and results were analyzed using SPSS. Results: Nursing services for delivery room nurses consisted of 18 duties and 86 tasks. Duties with the highest importance were 'labor support' and 'infection management', and those with lowest importance were 'collaborative care' and 'communication'. The duty with the highest frequency was 'labor support', and lowest frequency was 'communication'. There were differences between importance and frequency depending on the size of hospitals. Conclusion: Results of this first study on nursing services of delivery room nurses. delivery room nurses are performing a wide range of nursing services and the various types are clarified including importance and frequency.

• Journal of the Korean Geographical Society
• /
• v.48 no.5
• /
• pp.629-650
• /
• 2013

This study reviews geographical research trends on 'New industrial agglomeration' in Korea and recommends research issues for further studies. Recent studies on industrial agglomeration region have typically concentrated on empirical case studies from new 'perspectives'. As a result, the establishment and theorizing of frameworks for analysis on industrial agglomeration have been given too little attention. To solve this problem research should be conducted to develop frameworks for analysis integrating noneconomic factors and existing economic factors, a strategy emphasized in new industrial agglomeration theory. By doing so, research investigating viability mechanism and generalization will be invigorated. Meanwhile, research focused excessively on social and cultural conditions of region-related networks between actors in economic space at specific scales should be excluded. In addition, academic research on vitalizing industrial agglomeration region, such as cluster policy, should be strengthened. In order to conduct these research objectives effectively, it is necessary to vitalize overall understanding among researchers of industrial agglomeration and provide a place for collaborative learning.

• The Journal of the Korea Contents Association
• /
• v.15 no.2
• /
• pp.177-186
• /
• 2015

This study aims to suggest the direction in which furniture design can contribute, keeping with the trend of small quantity batch production by analyzing cases of furniture design manufacturing. This study analyzed cases of furnitures and lights made by 3D printing with 3 classifications. They are 1st, classification by correlation between 3D printing method and materials, 2nd, classification by 8 formative characteristics of 3D printing furniture design, 3rd, comparison analysis of competitiveness between existing furniture design and 3D printing furniture design by practicality, usability and durability. The competitiveness 3D printing technique arouses in furniture design industry, which is investigated in this thesis, is as follows. 1st, small quantity batch production, which caters to personal taste, is made possible. 2nd, transmission and transportation via digital are became more convenient. 3rd, it brings about a breakthrough in furniture design manufacturing. 4th, there is room for development into the 'smart furniture design' industry through collaborative use of 3D printing and internet of things. 5th, an Eco-friendly method of furniture design is consistently facilitated.

• Journal of the Korean Institute of Intelligent Systems
• /
• v.12 no.5
• /
• pp.385-392
• /
• 2002

Collaborative filtering method for personalization can suggest new items and information which a user hasn t expected. But there are some problems. Not only the steps for calculating similarity value between each user is complex but also it doesn t reflect user s interest dynamically when a user input a query. In this paper, classifying users by their interest makes calculating similarity simple. We propose the a1gorithm for readjusting user s interest dynamically using the profile and Bayesian learning. When a user input a keyword searching for a item, his new interest is readjusted. And the user s profile that consists of used key words and the presence frequency of key words is designed and used to reflect the recent interest of users. Our methods of adjusting user s interest using the profile and Bayesian learning can improve the real satisfaction of users through the experiment with data set, collected in University s library. It recommends a user items which he would be interested in.

• Journal of Construction Engineering and Project Management
• /
• v.10 no.1
• /
• pp.16-32
• /
• 2020

Cost and time control of projects is important in preventing project failure. However, achieving effective cost and time control in practice is often challenging. The challenges of project cost and time control in practice are investigated by carrying out a questionnaire survey on the top 150 construction contractors in the UK followed by in-depth semi-structured interviews of practitioners from 15 construction companies in the country. Quantitative analysis reveals that design change is the most important factor inhibiting the ability of UK contractors from effectively controlling both the cost and time of construction projects. Four of the top five factors inhibiting effective cost control are also the top factors inhibiting effective time control albeit in a different order. These top factors-design changes, inaccurate evaluation of project time/duration, risk and uncertainty, non-performance of subcontractors and nominated suppliers were also found to be endogenous factors to the project. Additionally, qualitative analysis of the interviews reveals 16 key challenges to prevent for effective project cost and time control in practice. These are classified into four categorised based on where they stem from as follows; from the organisation (1. Lack of integration of cost and time during project control, 2. lack of management buy-in, 3. complicated project control systems and processes, 4. lack of a project control training regime); from the construction management/project management approach (5. Lapses in integration of interfaces, 6. project control not being implemented from the early stages of a project, 7. inefficient utilisation and control of labour, 8. limited time devoted to planning how a project will be controlled at the outset); from the client; (9. Excessive authorisation gates, 10. use of adversarial and non-collaborative forms of contracts, 11. communication problems within client set-up, 12. obstructive client representatives) and; from the project team (13. Lack of detailed/complete design, 14. lack of trust among the project partners, 15. limited time devoted to project control on site, 16. non-factual reporting). The study posits that knowledge of these project control inhibiting factors and challenges is the first step at ensuring they are avoided and enable the implementation of a more effective project cost and time control process in practice.

• Korean Journal of Childcare and Education
• /
• v.9 no.1
• /
• pp.201-220
• /
• 2013

This study focused on science activities that need collaborative inquiry process and evaluate the effects of small group's science cooperative learning according to personality types on young children's science activities. The subjects are 30 five-year-old kindergarteners. They have been divided equally into three groups, extroversion(E), interversion(I), and heterogeneous group of EI mixed group depending on EI indicators through K-ABC cognitive ability tests and MMTIC personality types targeting. Both of groups have 10 members each. For data analysis, scientific attitude was analyzed with ANCOVA, scientific knowledge development was done with frequency analysis. As a result, first there was a difference in scientific knowledge development between the homogeneous group and heterogeneity group in small group's cooperative learning. Through the results of a Scheffe post-hoc test, there was a significant difference between E and I homogeneous groups but there was no difference between I homogeneous group and the heterogeneity group, and between E homogeneous group and the heterogeneity group, I homogeneous group had the most effective group composition in scientific attitude improvement.

• 대한예방의학회:학술대회논문집
• /
• 1994.02b
• /
• pp.206-233
• /
• 1994

The Medical Research Council has for some years encouraged collaborative clinical trials in leukaemia and other cancers, reporting the results in the medical literature. One unreported result which deserves such publication is the development of the expertise to design and analyse such trials. This report was prepared by a group of British and American statisticians, but it is intended for people without any statistical expertise. Part!, which appears in this issue, discusses the design of such trials; Part II, which will appear separately in the January 1977 issue of the Journal, gives full instructions for the statistical analysis of such trials by means of life tables and the logrank test, including a worked example, and discusses the interpretation of trial results, including brief reports of particular trials. Both parts of this report are relevant to all clinical trials which study time to death, and would be equally relevant to clinical trials which study time to other particular classes of untoward event: first stroke, perhaps, or first relapse, metastasis, disease recurrence, thrombosis, transplant rejection, or death from a particular cause. Part I, in this issue, collects together ideas that have mostly already appeared in the medical literature, but Part II, next month, is the first simple account yet published for non-statistical physicians of how to analyse efficiently data from clinical trials of survival duration. Such trials include the majority of all clinical trials of cancer therapy; in cancer trials, however, it may be preferable to use these statistical methods to study time to local recurrence of tumour, or to study time to detectable metastatic spread, in addition to studying total survival. Solid tumours can be staged at diagnosis; if this, or any other available information in some other disease is an important determinant of outcome, it can be used to make the overall logrank test for the whole heterogeneous trial population more sensitive, and more intuitively satisfactory, for it will then only be necessary to compare like with like, and not, by chance, Stage I with Stage III.

• Journal of the Korean Geographical Society
• /
• v.50 no.6
• /
• pp.641-657
• /
• 2015

Nowadays research collaboration between the business, academic and governmental community is high on the policy agenda in all over the world, especially with regard to science-based technological innovation. The aim of this paper is to explore some of the changing spatial patterns of research collaboration by carrying out bibliometric analysis of co-authorship publications in major international and scientific journals that are jointly realized by Korean scientists and researchers in the seven science-based technologies for the period 2002~2012. Using the co-authored papers as an indicator of research collaboration with the institutional address of each co-authoring researcher and the geographic location of their affiliation, this paper describes some trends and patterns of domestic and international research collaborations. Identifying a rapid increase in the volume of co-authored papers and the trend towards multiple authorships over the last decade, the paper finds collaborative scientific research to be geographically dispersed at the different spatial scales. Despite the rising geographic dispersion of research collaboration within the nation, this paper finds that there were empirical evidences for the presence of localized knowledge production processes at regional level, and biased knowledge flows towards core areas with advanced research resources.

• Journal of the Korean Institute of Intelligent Systems
• /
• v.16 no.2
• /
• pp.185-190
• /
• 2006

Most systems in ubiquitous computing analyze context information of users which have similar propensity with demographics methods and collaborative filtering to provide personalized recommendation services. The systems have mostly used static context information such as sex, age, job, and purchase history. However the systems have limitation to analyze users' propensity accurately and to provide personalized recommendation services in real-time, because they have difficulty in considering users situation as moving path. In this paper we use users' moving path of dynamic context to consider users situation. For the prediction accuracy we complete with a path completion algorithm to moving path which is inputted to RSOM. We train the moving path to be completed by RSOM, analyze users' moving pattern and predict a future moving path. Then we recommend the nearest product on the prediction path with users' high preference in real-time. As the experimental result, MAE is lower than 0.5 averagely and we confirmed our method can predict users moving path correctly.