• Title/Summary/Keyword: hierarchical functions

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Thinking Styles and Their Relationship with Self-regulated Learning Ability and Scientific Inquiry Ability of the Scientifically Gifted Students (과학영재들의 사고양식과 자기조절학습능력 및 과학탐구능력간의 관계 분석)

  • Lee, Ji-Ae;Park, Soo-Kyong;Kim, Young-Min
    • Journal of Gifted/Talented Education
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    • v.21 no.3
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    • pp.773-796
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    • 2011
  • This study examined the thinking styles of scientifically gifted students on the basis of Sternberg's theory of mental self-government, and the relationship between thinking styles and self-regulated learning ability of the students and their scientific inquiry ability by the different types of thinking styles. 110 middle school students who belonging to the university science-gifted education center participated in this study. 13 thinking styles were postulated that fall along 5 dimensions which are functions, forms, levels, scopes and leanings of the mental self-government. Scientifically gifted students responded to the Thinking Style Inventory (TSI) that standardized Korean version, Self-regulated Ability Inventory and Test of Science Inquiry Skills Inventory (TSIS). The results indicated that scientifically gifted students prefer legislative, liberal, external, hierarchical and judical thinking styles, rather than conservative style. This result also showed that subscales of thinking styles were significantly correlated with self-regulated learning ability and scientific inquiry ability. The legislative style, hierarchical style, local style and liberal style were significant predictors of self-regulation learning ability. The legislative style was significant predictor, whereas oligarchic style was negative predictor of scientific inquiry ability. The results of k-means clustering analysis and MANOVA showed that the self-regulated learning ability and scientific inquiry ability were significantly correlated with the pattern and level of thinking style.

A Study on the Collaboration of the Function Analysis and Idea Creation Phase with Function Integration FAST(FI FAST) and Hierarchical Value Engineering Concept Modules(HVECM) (통합 기능계통도와 계층적 컨셉모듈을 활용한 기능분석단계와 창조단계의 연계성에 관한 고찰)

  • In, Chi-Sung;NamKung, In-Il;Hyun, Chang-Taek;Koo, Kyo-Jin
    • Proceedings of the Korean Institute Of Construction Engineering and Management
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    • 2006.11a
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    • pp.355-360
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    • 2006
  • Function analysis and idea creation phase in Value Engineering(VE) Process is applied to manufacturing Industry for developing functions for elements of products, and in construction come to use various components like process, size of project, spaces as well as function itself due to multi-functional aspect. For this reason, VE applications to the construction industry are considered to be less frequent and efficient than to the manufacturing. To resolve this problem, a new technique of Function Integration Fast(HI FAST) and Hierarchical Value Engineering Concept Modules(HVECM) was made for practical integration and sequence of VE job Plan. Two types of function would be defined In this method, first and second function, during the job Plan process, and two function champions be selected for next creation phase process. For verification of consecutiveness of function analysis and idea creation phase for successful VE project implementation, this methodology was tested under design phase in office and IT Multi-functional building project. Make sure the successful application of this process with this method, need to develop the talent of VE experts and team members for process of function analysis and creation phase.

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Librarians' Intention and Behaviors for Providing Podcasts and YouTube Services: An Application of Extended Technology Acceptance Model (도서관 팟캐스트와 유튜브 서비스에 대한 사서의 제공 의도와 제공 행위 연구 - 확장된 기술수용모델의 적용 -)

  • Ahn, EunJi;Oh, Sanghee
    • Journal of the Korean Society for Library and Information Science
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    • v.55 no.4
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    • pp.187-217
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    • 2021
  • This study investigated the perceptions of librarians about Podcast and YouTube services in libraries. The study was designed by applying the Extended Technology Acceptance Model. Librarian's personal, organizational, and social awareness of library Podcast or YouTube services and the degree of understanding of users and their needs on services were mediated by perceived usefulness or ease of services= and influenced to having intentions and providing the services. First, we investigated the types of Podcast and YouTueb services provided by 39 libraries in Korea. Also, we collected data using an online survey method from 181 librarians and conducted hierarchical multiple regression analysis. Findings showed that libraries are using Podcast and YouTube appropriately considering features and functions of media, mainly for library event information/promotion, library programs, book recommendations, and author (librarian) lectures or interviews. Organizational or social awareness of librarians, i.e., library educational support, human resource supports, librarian recognition, job-related features, and understanding of user perceptions and needs, influenced the intention to provide library services. Also, there was a difference in perceived usefulness and ease of services between librarians who provided Podcast and YouTube services and those who did not. We expect that findings could be used as references to understand and support various aspects of librarians in charge of developing and providing Podcast or YouTube services in libraries.

Comparison of Open Source based Algorithms and Filtering Methods for UAS Image Processing (오픈소스 기반 UAS 영상 재현 알고리즘 및 필터링 기법 비교)

  • Kim, Tae Hee;Lee, Yong Chang
    • Journal of Cadastre & Land InformatiX
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    • v.50 no.2
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    • pp.155-168
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    • 2020
  • Open source is a key growth engine of the 4th industrial revolution, and the continuous development and use of various algorithms for image processing is expected. The purpose of this study is to examine the effectiveness of the UAS image processing open source based algorithm by comparing and analyzing the water reproduction and moving object filtering function and the time required for data processing in 3D reproduction. Five matching algorithms were compared based on recall and processing speed through the 'ANN-Benchmarks' program, and HNSW (Hierarchical Navigable Small World) matching algorithm was judged to be the best. Based on this, 108 algorithms for image processing were constructed by combining each methods of triangulation, point cloud data densification, and surface generation. In addition, the 3D reproduction and data processing time of 108 algorithms for image processing were studied for UAS (Unmanned Aerial System) images of a park adjacent to the sea, and compared and analyzed with the commercial image processing software 'Pix4D Mapper'. As a result of the study, the algorithms that are good in terms of reproducing water and filtering functions of moving objects during 3D reproduction were specified, respectively, and the algorithm with the lowest required time was selected, and the effectiveness of the algorithm was verified by comparing it with the result of 'Pix4D Mapper'.

Analyses of Environmental and Psychological Factors for Academic Hatred: Focusing on the Senior Students in Korean High Schools (학업반감에 영향을 미치는 환경적·심리적 영향요인 분석: 고등학교 3학년 학생을 대상으로)

  • Lee, Minyoung;Uhm, Jeongho;Lee, Kyeong-Joo;Lee, Sangeun;Lee, Sang Min
    • Korean Journal of School Psychology
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    • v.16 no.2
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    • pp.89-110
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    • 2019
  • This study is to verify relative influence of individual, parent, peer, teacher-related variables as protective factors and risk factors of academic hatred. Surveys were conducted with 1,015 (women, 57.3%) high school third grade students across eight schools where are located in Seoul, Incheon, and Geyonggi province. Correlation analysis and hierarchical multiple regression analysis were performed. The findings are summarized as follows. Teacher's academic pressure did not have significant correlation with student's basic psychological needs, teacher's autonomy support, teacher's support, and peer support whereas other variables showed significant correlation each others. The hierarchical multiple regression analysis indicated that student's individual competence and autonomy, parent's academic support, and teacher's emotional support work as protective factors and that parent's academic pressure functions as a risk factor. The effects of peer support disappeared when teacher-related factors were included. In addition, the effects of teacher's autonomy support disappeared, while the effects of teacher's support strengthened when learner's basic psychological needs were input. This study is meaningful in that it clarified academic hatred which had not been studied in other research and that it provided theoretical foundation for subsequent studies on academic hatred by examining relative influence of related variables. Lastly, it presented its limitation, implications on intervening strategies in school counseling, and suggestions for later studies.

The Effects of Elderly Frailty on Adverse Outcomes (노인 허약이 부정적 결과요인에 미치는 영향)

  • Lee, Jeong Wook
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.21 no.8
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    • pp.87-97
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    • 2020
  • The aim of this study was to examine empirically the causal relationship between significant adverse outcomes of elderly frailty. The 2017 National Survey on Old Adults was used to test this, but only nine variables necessary for the hypothesis test were abstracted from it. The results of the hypothesis test are summarized as follows. The sub-variables of adverse outcomes, such as disabilities in daily living activities, disabilities in instrumental daily living activities, and health care utilization, were analyzed empirically by inputting sub-variables of six frailty factors into hierarchical regression analysis. In the final model, the physical activities, emotional control, and social support were verified as significant variables influencing the disabilities in daily living activities. These included the following: physical activities, sensory functions, cognition, emotional control and social support as those influencing disabilities in the instrumental daily living activities; and nutrition, physical activities, sensory functions, emotional control, and social support as those influencing the health care utilization. Based on the results of the hypothesis test, it is necessary to develop and implement personalized health management programs that specifically identify elderly weakness factors that affect adverse outcomes, such as disabilities or health care utilization.

Variable Selection in Frailty Models using FrailtyHL R Package: Breast Cancer Survival Data (frailtyHL 통계패키지를 이용한 프레일티 모형의 변수선택: 유방암 생존자료)

  • Kim, Bohyeon;Ha, Il Do;Noh, Maengseok;Na, Myung Hwan;Song, Ho-Chun;Kim, Jahae
    • The Korean Journal of Applied Statistics
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    • v.28 no.5
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    • pp.965-976
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    • 2015
  • Determining relevant variables for a regression model is important in regression analysis. Recently, a variable selection methods using a penalized likelihood with various penalty functions (e.g. LASSO and SCAD) have been widely studied in simple statistical models such as linear models and generalized linear models. The advantage of these methods is that they select important variables and estimate regression coefficients, simultaneously; therefore, they delete insignificant variables by estimating their coefficients as zero. We study how to select proper variables based on penalized hierarchical likelihood (HL) in semi-parametric frailty models that allow three penalty functions, LASSO, SCAD and HL. For the variable selection we develop a new function in the "frailtyHL" R package. Our methods are illustrated with breast cancer survival data from the Medical Center at Chonnam National University in Korea. We compare the results from three variable-selection methods and discuss advantages and disadvantages.

Genome-wide identification, organization, and expression profiles of the chicken fibroblast growth factor genes in public databases and Vietnamese indigenous Ri chickens against highly pathogenic avian influenza H5N1 virus infection

  • Anh Duc Truong;Ha Thi Thanh Tran;Nhu Thi Chu;Huyen Thi Nguyen;Thi Hao Vu;Yeojin Hong;Ki-Duk Song;Hoang Vu Dang;Yeong Ho Hong
    • Animal Bioscience
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    • v.36 no.4
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    • pp.570-583
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    • 2023
  • Objective: Fibroblast growth factors (FGFs) play critical roles in embryo development, and immune responses to infectious diseases. In this study, to investigate the roles of FGFs, we performed genome-wide identification, expression, and functional analyses of FGF family members in chickens. Methods: Chicken FGFs genes were identified and analyzed by using bioinformatics approach. Expression profiles and Hierarchical cluster analysis of the FGFs genes in different chicken tissues were obtained from the genome-wide RNA-seq. Results: A total of 20 FGF genes were identified in the chicken genome, which were classified into seven distinct groups (A-F) in the phylogenetic tree. Gene structure analysis revealed that members of the same clade had the same or similar exon-intron structure. Chromosome mapping suggested that FGF genes were widely dispersed across the chicken genome and were located on chromosomes 1, 4-6, 9-10, 13, 15, 28, and Z. In addition, the interactions among FGF proteins and between FGFs and mitogen-activated protein kinase (MAPK) proteins are limited, indicating that the remaining functions of FGF proteins should be further investigated in chickens. Kyoto encyclopedia of genes and genomes pathway analysis showed that FGF gene interacts with MAPK genes and are involved in stimulating signaling pathway and regulating immune responses. Furthermore, this study identified 15 differentially expressed genes (DEG) in 21 different growth stages during early chicken embryo development. RNA-sequencing data identified the DEG of FGFs on 1- and 3-days post infection in two indigenous Ri chicken lines infected with the highly pathogenic avian influenza virus H5N1 (HPAIV). Finally, all the genes examined through quantitative real-time polymerase chain reaction and RNA-Seq analyses showed similar responses to HPAIV infection in indigenous Ri chicken lines (R2 = 0.92-0.95, p<0.01). Conclusion: This study provides significant insights into the potential functions of FGFs in chickens, including the regulation of MAPK signaling pathways and the immune response of chickens to HPAIV infections.

Study on the Mathematics Teaching and Learning Artificial Intelligence Platform Analysis (수학 교수·학습을 위한 인공지능 플랫폼 분석 연구)

  • Park, Hye Yeon;Son, Bok Eun;Ko, Ho Kyoung
    • Communications of Mathematical Education
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    • v.36 no.1
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    • pp.1-21
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    • 2022
  • The purpose of this study is to analyze the current situation of EduTech, which is proposed as a way to build a flexible learning environment regardless of time and place according to the use of digital technology in mathematics subjects. The process of designing classes to use the EduTech platform, which is still in the development introduction stage, in public education is still difficult, and research to observe its effects and characteristics is also in its early stages. However, in the stage of preparing for future education, it is a meaningful process to grasp the current situation and point out the direction in preparation for the future in which EduTech will be actively applied to education. Accordingly, the current situation and utilization trends of EduTech at home and abroad were confirmed, and the functions and roles of EduTech platforms used in mathematics were analyzed. As a result of the analysis, the EduTech platform was pursuing learners' self-directed learning by constructing its functions so that they could be useful for individual learning of learners in hierarchical mathematics education. In addition, we have confirmed that the platform is evolving to be useful for teachers' work reduction, suitable activities, and evaluations learning management. Therefore, it is necessary to implement instructional design and individual customized learning support measures for students that can efficiently utilize these platforms in the future.

Improving the Records Classification System Based on the Business Reference Model (BRM) Through an Analysis of Legislative Classification System Types (법령 기반 분류체계의 유형 분석을 통한 BRM 기반 기록분류 개선 방안 연구)

  • Ziyoung Park
    • Journal of Korean Society of Archives and Records Management
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    • v.24 no.2
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    • pp.139-163
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    • 2024
  • This study aims to analyze classification systems used in the public sector, collected based on legislation, and to improve the classification system for public records. From the Korean Law Information Center, 375 legislative clauses were searched, revealing about 80 classification systems. These systems were initially divided into lists, tables, and hierarchical classifications. Six types of classification system uses were proposed after combining three management types and two system functions. Among these models, classification systems used for core operations in public agencies often had the same entity as both developer and user. While systems adopted from other institutions were often modified as needed, they were predominantly used for reference tasks rather than core operations. However, in records management, crucial tasks such as record classification and disposal commonly use unmodified classification system items developed and managed by other agencies. Consequently, this study proposes that structural improvements are necessary for the record classification system. It suggests developing dedicated classification systems to support core functions or modifying existing systems and also applying records management disposal standards and guidelines to other relevant legislative provisions.