• Title/Summary/Keyword: model studies

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A Resiliency Model for Families of Children with Disabilities (장애아동가족의 복원모델 연구)

  • Oh, Seung Ah;Lee, Yang Hee
    • Korean Journal of Child Studies
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    • v.22 no.2
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    • pp.113-132
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    • 2001
  • In order to develop a model for better understanding of causal relationships in resiliency factors in families of children with disabilities, 200 families participated in this adaptation of the Resiliency Model of McCubbin and McCubbin(1993). The 6 latent variables included in the hypothesized model were family stress, family hardiness, family schema, community support, family problem-solving communication, and family adaptation. The models were developed on the basis of confirmatory factor analysis and compared using covariance structure modeling (LISREL). Adequate fitness of the model was observed. Family stress showed negative effect on family schema and on family hardiness. Family schema showed positive effect on community support and on family hardiness. Family hardiness showed positive effect on family problem-solving communication, and family problem-solving communication showed positive effect on family adaptation.

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The Influence of Gender Schema on Children's Memory and Preference for Gender Related Tasks (아동의 성 도식과 성관련 과제의 기억 및 선호)

  • Chung, Soon Hwa;Chung, Ock Boon
    • Korean Journal of Child Studies
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    • v.15 no.1
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    • pp.37-53
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    • 1994
  • The primary purpose of this study was to investigate the validity of a component model of gender role and differences in children's gender concepts with age and sex. The secondary purpose was to investigate the relationship between children's gender schema and memory as well as preference for gender related task. 181 children were interviewed about gender concepts and gender related tasks. Results indicated that three dimensions of the component model (i. e., gender label-component links, within-component links, between-component links) were significantly related to each other. The mean scores of gender role knowledge and attitude were different with age but not with sex. The results of the regression analysis showed that children's age, sex, and gender role attitude explained both memory and preference for gender related tasks. The component model had better explanatory power than the simple model. The findings of the present study suggest that children's gender concepts are better described in terms of the component model than the simple model and may contribute to a theoretical rationale for gender schema theory.

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A DAI Coordination Model for Cooperation in Multiagent Systems (멀티에이전트시스템에서의 협력을 위한 분산인공지능 조정모형)

  • 정동길
    • The Journal of Society for e-Business Studies
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    • v.2 no.2
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    • pp.55-74
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    • 1997
  • In this paper, the concept of coordination under the setting of cooperative multiagent systems is examined. Based on the concept, a computational model in which the key constructs of coordination can be precisely defined is developed. This model can serve as a basis for developing software systems designed to support coordination in Eletronic Commerce. Coordination is viewed as management of conflicting demands on finite resources by actors or acitivities. The model views coordination as a cycle of four phases: the definition phase, the conflict resolution phase, the action phase, and the adaptation phase. Then, a formal model of coordination, both as a phenomenon and as a process is devloped. Within the context of this model, important concepts such as decomposability, informational privacy, informational decentralization, and informational efficiency are examined.

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CENSORED FUZZY REGRESSION MODEL

  • Choi, Seung-Hoe;Kim, Kyung-Joong
    • Journal of the Korean Mathematical Society
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    • v.43 no.3
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    • pp.623-634
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    • 2006
  • Various methods have been studied to construct a fuzzy regression model in order to present a fuzzy relation between a dependent variable and an independent variable. However, in the fuzzy regression analysis the value of the center point of estimated fuzzy output may be either greater than the value of the right endpoint or smaller than the value of the left endpoint. In the case, we cannot predict the fuzzy output properly. This paper presents sufficient conditions to construct the fuzzy regression model using several methods investigated by some authors and then introduces the censored fuzzy regression model using the censored samples to manipulate the problem of crossing of the center and the end points of the estimated fuzzy number. Examples show that the censored fuzzy regression model is an extension of the fuzzy regression model and also it improves the problem of crossing.

Who knows what and to what extent - modeling the knowledge of the narrative agent

  • Hochang Kwon
    • Trans-
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    • v.14
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    • pp.65-92
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    • 2023
  • The knowledge of the narrative agent not only constitutes the content and meaning of the narrative itself, but is also closely related to the emotional response of the recipient. Also, the disparity of knowledge between narrative agents is an important factor in making a narrative richer and more interesting. But It tends to be treated as a sub-topic of narration theory or genre/style studies rather than an independent subject of narrative studies or criticism. In this paper, I propose a model that can systematically and quantitatively analyze the knowledge of narrative agents. The proposed model consists of the knowledge structure that represents a narrative, the knowledge state that expresses the knowledge of narrative agent as a degree of belief, and the knowledge flow that means changes in the knowledge state according to the development of events. In addition, the formal notation of the knowledge structure and a probabilistic inference model that could obtain the state of knowledge were proposed, and the knowledge structure and knowledge flow were analyzed by applying the model to the actual narrative. It is expected that the proposed model will be of practical help in the creation and evaluation of narratives.

Scoping Review of Machine Learning and Deep Learning Algorithm Applications in Veterinary Clinics: Situation Analysis and Suggestions for Further Studies

  • Kyung-Duk Min
    • Journal of Veterinary Clinics
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    • v.40 no.4
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    • pp.243-259
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    • 2023
  • Machine learning and deep learning (ML/DL) algorithms have been successfully applied in medical practice. However, their application in veterinary medicine is relatively limited, possibly due to a lack in the quantity and quality of relevant research. Because the potential demands for ML/DL applications in veterinary clinics are significant, it is important to note the current gaps in the literature and explore the possible directions for advancement in this field. Thus, a scoping review was conducted as a situation analysis. We developed a search strategy following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. PubMed and Embase databases were used in the initial search. The identified items were screened based on predefined inclusion and exclusion criteria. Information regarding model development, quality of validation, and model performance was extracted from the included studies. The current review found 55 studies that passed the criteria. In terms of target animals, the number of studies on industrial animals was similar to that on companion animals. Quantitative scarcity of prediction studies (n = 11, including duplications) was revealed in both industrial and non-industrial animal studies compared to diagnostic studies (n = 45, including duplications). Qualitative limitations were also identified, especially regarding validation methodologies. Considering these gaps in the literature, future studies examining the prediction and validation processes, which employ a prospective and multi-center approach, are highly recommended. Veterinary practitioners should acknowledge the current limitations in this field and adopt a receptive and critical attitude towards these new technologies to avoid their abuse.

Designing emotional model and Ontology based on Korean to support extended search of digital music content (디지털 음악 콘텐츠의 확장된 검색을 지원하는 한국어 기반 감성 모델과 온톨로지 설계)

  • Kim, SunKyung;Shin, PanSeop;Lim, HaeChull
    • Journal of the Korea Society of Computer and Information
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    • v.18 no.5
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    • pp.43-52
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    • 2013
  • In recent years, a large amount of music content is distributed in the Internet environment. In order to retrieve the music content effectively that user want, various studies have been carried out. Especially, it is also actively developing music recommendation system combining emotion model with MIR(Music Information Retrieval) studies. However, in these studies, there are several drawbacks. First, structure of emotion model that was used is simple. Second, because the emotion model has not designed for Korean language, there is limit to process the semantic of emotional words expressed with Korean. In this paper, through extending the existing emotion model, we propose a new emotion model KOREM(KORean Emotional Model) based on Korean. And also, we design and implement ontology using emotion model proposed. Through them, sorting, storage and retrieval of music content described with various emotional expression are available.

The Effect of Oral Administration of Herbal Medicines on Memory in Alzheimer's Disease Animal Models: A Review of Animal Study Reports Published in Korea (알츠하이머병 유발 동물모델에서 한약제재 경구투여가 기억에 미치는 영향에 대한 국내 연구보고 고찰)

  • Han, Da-Young;Park, Na-Eun;Kim, Sang-Ho;Chung, Dae-kyoo
    • Journal of Oriental Neuropsychiatry
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    • v.28 no.4
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    • pp.359-371
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    • 2017
  • Objectives: The objective of this study was to review the effect of oral administration of herbal medicines on the improvement of memory in Alzheimer's disease animal model reported in Korean domestic journals. Methods: The Korean databases (Koreantk, KISS) were searched with memory as a popular search term. During the searches, only animal study reports were reviewed. Data of animal models, intervention, observation methods of measuring indicators were extracted from the databases. Results: Typically, 36 articles were reviewed. Twenty-two studies used scopolamine to induce Alzheimer's disease, 24 studies used complex herbal medicines, and 12 studies used simple herbal medicines. Polygalae Radix and Acori Rhizoma were the most frequently used herbal medicines to improve memory in Alzheimer model. To evaluate the effect of herbal medicines, 36 studies used macroscopy, 16 studies used molecular biological analysis, 21 studies used biochemical analysis, 15 studies used histological analysis, and 11 studies used hematological analysis. Each study showed significant improvement with respect to memory indicators. Conclusions: Overall, the results suggest that treatment employing herbal medicines is an effective option to treat memory impairment in Alzheimer's disease.

Accuracy Analysis of Substrate Model for Multi-Finger RF MOSFETs Using a New Parameter Extraction Method (새로운 파라미터 추출 방법을 사용한 Multi-Finger RF MOSFET의 기판 모델 정확도 비교)

  • Choi, Min-Kwon;Kim, Ju-Young;Lee, Seong-Hearn
    • Journal of the Institute of Electronics Engineers of Korea SD
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    • v.49 no.2
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    • pp.9-14
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    • 2012
  • In this study, multi-finger RF MOSFET substrate parameters are accurately extracted by using S-parameters measured from common source-bulk and common source-gate test structures. Using this extraction method, the accuracy of an asymmetrical model with three substrate resistances is verified by observing better agreement with measured Y-parameters than a simple model with a single substrate resistance. The modeled S-parameters of the asymmetrical model also show excellent agreement with measured ones up to 20GHz.

Flow Visualization in Realistic Arterial Bypass Graft Model

  • Singh, Megha;Shin, Se-Hyun
    • International Journal of Vascular Biomedical Engineering
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    • v.3 no.1
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    • pp.1-5
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    • 2005
  • Background: Coronary atherosclerosis artery disease is the leading cause of morbidity and mortality. Coronary artery bypass grafting (CABG) which utilizes the saphenous vein graft, has helped in alleviating the suffering of these patients. Newer techniques are being developed to improve upon the techniques. Still there is significant number of failures, leading to re-grafting or re-vascularization. Some studies have helped in identifying the high and low shear stress regions. Further studies based on their realistic models are required. Material, methods and results: we developed the realistic model of fully blocked right coronary with bypass graft placed at angle of $5^0$ with curvature similar to that of artery. Pulsatile flow of birefringent solution through this model by polarized light was visualized. The images of complete flow field in the model were recorded and analyzed. Regions of high flow disturbances which are prone to further changes are identified. Existence of recirculation in the blocked coronary may initiate new blood-tissue interactions deleterious to bypass graft. Conclusion: Our study shows that by selecting the procedure to place bypass graft at minimum angle with curvature similar to that of artery and smooth sutures may improve the life span of the graft. This study also identified that coronary blocked regions contributing by recirculation flow at the proximal and distal regions of bypass which may require further studies.

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