In diagnosis of lung cancer, rapid distinction between small cell lung cancer (SCLC) and non-small cell lung cancer (NSCLC) tumors is very important. Serum markers, including lactate dehydrogenase (LDH), C-reactive protein (CRP), carcino-embryonic antigen (CEA), neurone specific enolase (NSE) and Cyfra21-1, are reported to reflect lung cancer characteristics. In this study classification of lung tumors was made based on biomarkers (measured in 120 NSCLC and 60 SCLC patients) by setting up optimal biomarker joint models with a powerful computerized tool - gene expression programming (GEP). GEP is a learning algorithm that combines the advantages of genetic programming (GP) and genetic algorithms (GA). It specifically focuses on relationships between variables in sets of data and then builds models to explain these relationships, and has been successfully used in formula finding and function mining. As a basis for defining a GEP environment for SCLC and NSCLC prediction, three explicit predictive models were constructed. CEA and NSE are requentlyused lung cancer markers in clinical trials, CRP, LDH and Cyfra21-1 have significant meaning in lung cancer, basis on CEA and NSE we set up three GEP models-GEP 1(CEA, NSE, Cyfra21-1), GEP2 (CEA, NSE, LDH), GEP3 (CEA, NSE, CRP). The best classification result of GEP gained when CEA, NSE and Cyfra21-1 were combined: 128 of 135 subjects in the training set and 40 of 45 subjects in the test set were classified correctly, the accuracy rate is 94.8% in training set; on collection of samples for testing, the accuracy rate is 88.9%. With GEP2, the accuracy was significantly decreased by 1.5% and 6.6% in training set and test set, in GEP3 was 0.82% and 4.45% respectively. Serum Cyfra21-1 is a useful and sensitive serum biomarker in discriminating between NSCLC and SCLC. GEP modeling is a promising and excellent tool in diagnosis of lung cancer.
Journal of the Korean Association of Geographic Information Studies
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v.9
no.2
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pp.194-205
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2006
The purpose of this study is to develop a pedestrian multi-agent model and simulation system using multi-agent theory, which may be utilized as a planning support system for building a comfort and safe environment of pedestrian street. Differing from existing pedestrian models, however, every single pedestrian was regarded as an individual agent in the model. Multiple agents like multiple pedestrians in the street then maintain their own characteristics and respond to surrounding environment. In addition their moving behavior are made by their own decision rules that they have or had acquired through the interactive communications or learning between agents like real world. After verifying the model validation, as the $R^2$ between the predicted value and observed value was up to 0.781, the developed model was applied to Gazwa district within Gyeongsang university village. The simulation system was developed by Flash MX action scripts and the physical environment of the streets was configured with the digital map and ArcGis within computer virtual space. The attribute data of buildings such as type and size of commercial business were collected through the field survey and combined with physical features. Then the effect of the variation of building attractiveness and the occurrence of street events to pedestrian environment were simulated. Through the experiments this study could make suggestions to improve pedestrian environment.
The purpose of this study is to analyze the effects of a firm's dynamic capabilities measured by sensing, seizing, transforming, coordinating, and learning capabilities on its competitive capabilities, such as product quality, process flexibility, delivery speed, and low cost. The relationship among dynamic capabilities, competitive capabilities, and export firm performance is set up as a research model based on empirical studies related to the existing dynamic capability perspective and competitive capabilities. To test this research model, this study collected 102 samples of data using a questionnaire survey on both manufacturing and exporting firms. The partial least squares method is used and the following results are derived from an empirical analysis. First, dynamic capabilities have a positive effect on competitive capabilities, such as product quality, process flexibility, delivery speed, and low cost. Second, product quality and process flexibility have a positive effect on export firm performance. Third, unlike previous research results, this study finds that the competitive capabilities of a firm in the areas of delivery speed and low cost do not significantly affect its performance. These findings provide meaningful implications for export venture firms that need to acquire and maintain competitive advantage in a rapidly changing environment.
In the IoT environment, various things could be connected. Those connected things learn and operate themselves, by acquiring data. As human being, they have self-learning and self-operating systems. In the field of IoT study, therefore, the key issue is to design communication system connecting both of the two different types of subjects, human being(user) and the things. With the advent of the IoT environment, much research has been done in the field of UI design. It can be seen that research has been conducted to take complex factors into account through keywords such as multi-modality and interusability. However, the existing UI design method has limitations in structuring or testing interaction between things and users of IoT environment. Therefore, this paper suggests a new UI prototyping method. In this paper, the major analysis and studies are as follows: (1) defined what is the behavior process of the things (2) analyzed the existing IoT product (3) built a new framework driving personality types (4) extracted three representative personality models (5) applied the three models to the smart home service and tested UI prototyping. It is meaningful with that this study can confirm user experience (UX) about IoT service in a more comprehensive way. Moreover, the concept of the personality of things will be utilized as a tool for establishing the identity of artificial intelligence (AI) services in the future.
Journal of Korean Home Economics Education Association
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v.29
no.4
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pp.65-84
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2017
The purpose of this study is to activate Home Economics integrated career education for strengthening career development competency in a career education intensive semester & grade system. To do this, the trend of subjects-integrated career education, and the relationship between achievement standards of Home Economics in high school and career development competency were analyzed, methods for Home Economics subjects-integrated career education were investigated, then a case study was developed. The main research results of this study are as follows. First despite the importance of subjects-integrated career education, there are much rooms to improve in operation of the career education intensive semester & grade system. Therefore, the systematic preparation for subjects-integrated career education is required at the time of application of the 2015 revised curriculum and the expansion of the career education intensive semester & grade system. Second, all achievement criteria in three domains of Home Economics were shown to be highly related to career development competency. Eventually it could be confirmed that the Home Economics is a core subject that meets the goals of career education and hones career development competency to be prepared as future human resources. Finally, in order to strengthen the career development competency, a case study of Home Economics integrated career curriculum focusing on the association with curriculum-teaching & learning-evaluation was developed and proposed. Even though the developed case study of curriculum has not been proven yet in the class, this study is expected to contribute to the enlargement of career education of Home Economics in the career education intensive semester & grade system as fundamental data for integration of Home Economics and career education.
The purpose of this study was to analyze 9th grade students' understanding about the earth science terms written by Chinese characters depending on their loaming style and attitudes toward science. The study selected the eight students with the middle level of science achievement and divided into four groups: verbal-high attitude toward science, verbal-low attitude toward science, visual-high attitude toward science, and visual-low attitude toward science learners. Three types of questionnaires including Korean characters type, a picture type, md Korean and Chinese characters type were developed to determine the students' understanding about the earth science terms written by Chinese characters. The results of data indicated that the 9th grade students' understanding showed no significant difference by their different teaming style, and yet demonstrated higher level of understanding in Korean and Chinese characters type questionnaire rather than Korean characters type only or a picture type. On the other hand, the level of students' understandings both in Korean characters type and a picture type was about equal. In conclusion, it seems more effective in students' teaming about the earth science terms written by Chinese characters when they were provided with both Korean and Chinese characters.
Journal of The Korean Association For Science Education
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v.24
no.3
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pp.565-582
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2004
The purpose of this study was to explore the elements of teaching behavior and classify instructional types through the teacher's classroom observation in elementary school science classrooms. 18 elementary school teachers were selected at Seoul city and Kyungkido. The topic of lesson was 'How the weight of object is changed according to the shape to sink in the water'. Each class was recorded and analyzed that. The teaching behavior elements were used inductional analysis method. The instruction types were classified into instructional organization, teaching strategies in teaching-learning processes, the level of openness of inquiry at science classroom. The validity and reliability of the data were analyzed by 7 science educators. The results of the analysis of the teachers discourse showed that there are 23 types of teaching behavior elements. Used teaching behavior elements revealed the differences from each teacher. There were 7 types among the 12 types of class and the most common types of instruction were unsystematic, teacher-centered, and guided-inquiry. The result showed that guided inquiry type was found more than open inquiry type and teacher-centered instructional, content-centered instructional, superficial inquiry process showed characteristic.
Journal of The Korean Association For Science Education
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v.30
no.5
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pp.609-620
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2010
The purpose of this study was to examine school-level science elective-centered curriculum operation and teachers' perception of their instruction of elective-centered science courses. Data were collected from 12 science teachers in 12 high schools in the metropolitan Seoul area through semi-constructed interviews. The results showed that students were supposed to select science subjects under insufficient guidance and their choices on subject were also restricted due to school administrative processes such as teacher's instructional time allocation. Participants were well-perceived different group characteristics among humanities course and science course students toward science learning, still, they felt difficulties in valuing students' variety by differentiating contents and teaching methodologies due to school assessment system and workload of extra instructional material preparation. Influenced by the current college entrance examination system, low motivation for humanities course students and students' choice concentrated in chemistry and life science for science course students, were pointed out as main problems. As a way to improve science education for 11th - 12th graders, developing customized science curriculum for humanities course and science course respectively, changing of entrance system into increasing importance of science for students who will major in non-science fields, and designations of essential prerequisite science subject for students who will major in engineering & science fields, were suggested.
Journal of The Korean Association For Science Education
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v.30
no.5
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pp.544-556
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2010
The purpose of this study was to investigate the change in beginning science teachers' inquiry-oriented teaching practice through mentoring program. Participants in this study are three mentor teachers and three beginning teachers. The three beginning teachers are middle school science teachers who have less than four years teaching experience. Also three science teachers participated in the program as mentors, who have more than twelve years teaching experience. We collected data such as video recordings of beginning teachers' classes, lesson plans, recordings of one to one mentoring and RTOP class observation reports. Mentor teachers observed and analyzed five classes of each beginning teacher. Before the mentoring program, beginning teachers' teaching methods were more concept-oriented and teacheroriented. They rarely used inquiry-elements including prediction, reasoning, hypothesizing and students were not actively engaged in communicative interactions in a classroom. But during the mentoring program, these teachers recognized and responded to student diversity and encouraged all students to participate in science learning. Beginning teachers' teaching methods have changed to become student-oriented, teachers and students collaborated in pursuit of ideas, and students often initiated new activities relevant to an inquiry. As a result, this mentoring program provided beginning teachers the opportunities to reflect on their own teaching and reform their classes. The results show that school-centered mentoring program is helpful to enhance beginning science teachers' inquiry-oriented teaching ability.
Journal of The Korean Association For Science Education
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v.34
no.7
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pp.635-645
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2014
The purpose of this study is to identify elementary school teachers' perceptions, practices, and background factors related to introducing students' everyday experience in science teaching process. The participants of this study were four elementary school teachers who have different features such as major, teaching period, gender, growth area, and age. The data was collected through semi-constructed and in-depth interviews. The results of the research are as follows: Teachers mostly used students' everyday experience during the introduction phase of science lessons for the purpose of motivation. They hold a positive view of using students' everyday experience during science lessons and thought that science teaching needs to actively use more of students' everyday experience, while in actual practice they disregarded or only passively introduced students' everyday experience. The various background factors found to affect teachers' practice are as follows: positive memory on their science class; educational experience of their own children; their own childhood environment; their learning style; their insufficient knowledge or enthusiasm; perceived educational value of everyday life in science education; teacher's duties; importance of students' achievement; difficulty in guiding experiment; reaction of students on introducing everyday experience; characteristics of science textbook and teacher's guidebook; lack of lesson time; realization of national common basic education; characteristics of their students; demands from parents or students; effect of introducing everyday experience. In addition, we found that the teachers behave not in accordance with what they thought due to external factors related to their profession and that, for a more active use of students' everyday experience in their teaching, teachers need support from textbooks and teachers' guidebooks.
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