• Title/Summary/Keyword: 행위 평가 모델

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Effects of Red or Black Ginseng Extract in a Rat Model of Inflammatory Temporomandibular Joint Pain (흰 쥐의 턱관절 염증성 통증모델에서 홍삼 및 흑삼추출물의 효과)

  • Lee, Hyeon-Jeong;Kim, Yun-Kyung;Choi, Ja-Hyeong;Lee, Jung-Hwa;Kim, Hye-Jin;Seong, Mi-Gyung;Lee, Min-Kyung
    • Journal of dental hygiene science
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    • v.17 no.1
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    • pp.65-72
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    • 2017
  • Temporomandibular joint (TMJ) pain is characterized by persistent jaw pain associated with dysfunction and tenderness of the temporomandibular muscles and joints. The aim of this study was to investigate whether treatment with red or black ginseng extract helps in the modulation of inflammatory TMJ pain. Male Sprague-Dawley rats weighing 220~260 g were used. The experimental group was subdivided into 4 groups based on the treatment method (n=6, each group): formalin (5%, $30{\mu}l$), formalin after distilled water (vehicle), formalin after red or black ginseng extract (per oral, single or repeated, respectively). To induce TMJ pain, $30{\mu}l$ of formalin was injected into the articular cavity under ether inhalation anesthesia. The number of noxious behavioral responses of scratching the facial region proximal to the injection site was recorded for 9 successive 5-min intervals following formalin injection. Repeated treatment with red or black ginseng extract reduced the nociceptive responses in the second phase (11~45 min). Nuclear factor erythroid 2-related factor 2 (Nrf2) is an oxidative stress-mediated transcription factor. Both ginsengs significantly down-regulated the increased Nrf2 level compared to the vehicle group. In the test for liver and kidney functions, repeated treatment with red or black ginseng was not different compared to the vehicle group. These results indicate that red and black ginseng extract might be promising analgesic agents in the treatment of inflammatory TMJ pain.

A Smart Script System for Implementing Intelligent Behaviors of Mobile Personal Assistants (모바일 퍼스널 어시스턴트의 지능 행위 구현을 위한 스마트 스크립트 시스템)

  • Kim, In-Cheol;Oh, Hui-Kyoung
    • The KIPS Transactions:PartB
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    • v.18B no.2
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    • pp.83-86
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    • 2011
  • In this paper, we present the plan execution model for dynamic mobile computing environments, and then introduce the smart script system developed on these base models. The smart script system includes the smart script language, in which the task knowledge of a mobile personal assistant is represented, and the script execution engine, by which the scripts are dynamically executed in response to the given task goal and the environmental changes. In order to evaluate the utility and the performance of our system, we implement an application service called Smart Reservation and conduct some experiments.

Semantic Role Labeling using Biaffine Average Attention Model (Biaffine Average Attention 모델을 이용한 의미역 결정)

  • Nam, Chung-Hyeon;Jang, Kyung-Sik
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.26 no.5
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    • pp.662-667
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    • 2022
  • Semantic role labeling task(SRL) is to extract predicate and arguments such as agent, patient, place, time. In the previously SRL task studies, a pipeline method extracting linguistic features of sentence has been proposed, but in this method, errors of each extraction work in the pipeline affect semantic role labeling performance. Therefore, methods using End-to-End neural network model have recently been proposed. In this paper, we propose a neural network model using the Biaffine Average Attention model for SRL task. The proposed model consists of a structure that can focus on the entire sentence information regardless of the distance between the predicate in the sentence and the arguments, instead of LSTM model that uses the surrounding information for prediction of a specific token proposed in the previous studies. For evaluation, we used F1 scores to compare two models based BERT model that proposed in existing studies using F1 scores, and found that 76.21% performance was higher than comparison models.

The Preliminary Study for Development of Occupational Therapy Model Focused on Improving Living Functions within the Community Care System (커뮤니티 케어 제도 내 생활기능 향상 중심의 작업치료 모델 개발을 위한 기초 연구)

  • Lee, Chun-Yeop;Park, Young-Ju;Park, Kand-Hyun;Ji, Seok-Yeon;Kim, Hee-Jung
    • The Journal of Korean society of community based occupational therapy
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    • v.8 no.3
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    • pp.1-12
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    • 2018
  • Objective : This study conducted a preliminary study to develop a occupational therapy model focused on improving living functions within the community care system. Methods : From June to July, 2018, the literature on community care was researched, focusing on cases of Japan's Management Tool for Daily Life Performance (MTDLP), Sweden, United Kingdom, Germany and domestic S Elderly Care Centers and I Health Centers. Based on this information, a group of experts developed a occupational therapy model within the community care system. Results : Assessment tools such as occupation-based health promotional table, interest checklist, occupational goals for improving living functions, sheet for evaluation of living functions, survey of daily life time (weekday and weekend), and sheet for transition of living functions were developed to conduct evaluation for occupational therapy. The improving living functions program, analysis of activities based on ICF model, lifestyle redesign program, cognitive exercise therapy, the Lee Silverman Voice Treatment (LSVT), hospice, and home modification were also organized interventions already in place by occupational therapists. Conclusion : This study showed specific measures and models for the implementation of occupational therapy within community care systems. Occupational therapy is positioned as a specialized area that is essential to the client, and we look forward to the use of this model.

Agent-Based Modeling Methodology for Close-Combat Attrition Estimates (Agent 기반 모델링에 의한 근접전투 손실예측 방법론)

  • Kim, Hee-Soo;Lee, Jae-Ho;Shin, Hyun-Ju
    • Journal of the military operations research society of Korea
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    • v.32 no.2
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    • pp.56-77
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    • 2006
  • This paper suggests more improved war-game modeling methodology for close combat attrition modeling. Military operation analysts have been using equation-based modeling techniques such as Lanchester-type differential equation modeling, for combat attrition evaluation. This modeling methodology is easy to analyze and evaluate the war-game simulation results but has several limitations to simulate the dynamic combat environment. To overcome these shortcomings, we propose the agent-based modeling methodology. This methodology is modeling close combat based in attrition behaviors instead of attrition coefficients. The simulation analysis & evaluation is executed for these two kinds of modeling methodology on the similar close combat situation.

A Study on the Exposure Prediction Model of Fluoride Dentifrice (불소함유 세치제 사용에 따른 인체의 노출예측모델)

  • Yoon, Sung-Uk
    • The Journal of the Korea Contents Association
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    • v.22 no.7
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    • pp.663-669
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    • 2022
  • The content of fluoride in toothpaste commercially available in Korea has been increased to less than 1500 ppm. The purpose is to provide these results to consumers and to suggest alternatives to the safe use of toothpaste. This study was conducted on 1,300 people for 2 weeks from March 2021. As a research tool, general characteristics and oral health behaviors were surveyed. ConsExpo Web 1.0.2. It was used as an input variable for exposure evaluation. As a result of the study, when a toothpaste containing 1500 ppm of fluoride was used, the external dose on day of exposure was 2.3×10-2 mg/kg/day for males, 2.9×10-2 mg/kg/day for females, and children aged 2-3 years was estimated to be 7.3×10 -2 mg/kg/day. As a result of this study, it is thought that as the fluoride content of toothpaste distributed in the market increases, it will be used as a basic data to present standards for safe use by consumers.

International and domestic research trends in longitudinal connectivity evaluations of aquatic ecosystems, and the applicability analysis of fish-based models (수생태계 종적 연결성 평가를 위한 국내외 연구 현황 및 어류기반 종적 연속성 평가모델 적용성 분석)

  • Kim, Ji Yoon;Kim, Jai-Gu;Bae, Dae-Yeul;Kim, Hye-Jin;Kim, Jeong-Eun;Lee, Ho-Seong;Lim, Jun-Young;An, Kwang-Guk
    • Korean Journal of Environmental Biology
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    • v.38 no.4
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    • pp.634-649
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    • 2020
  • Recently, stream longitudinal connectivity has been a topic of investigation due to the frequent disconnections and the impact of aquatic ecosystems caused by the construction of small and medium-sized weirs and various artificial structures (fishways) directly influencing the stream ecosystem health. In this study, the international and domestic research trends of the longitudinal connectivity in aquatic ecosystems were evaluated and the applicability of fish-based longitudinal connectivity models used in developed countries was analyzed. For these purposes, we analyzed the current status of research on longitudinal connectivity and structural problems, fish monitoring methodology, monitoring approaches, longitudinal disconnectivity of fish movement, and biodiversity. In addition, we analyzed the current status and some technical limitations of physical habitat suitability evaluation, ecology-based water flow, eco-hydrological modeling for fish habitat connectivity, and the s/w program development for agent-based model. Numerous references, data, and various reports were examined to identify worldwide longitudinal stream connectivity evaluation models in European and non-European countries. The international approaches to longitudinal connectivity evaluations were categorized into five phases including 1) an approach integrating fish community and artificial structure surveys (two types input variables), 2) field monitoring approaches, 3) a stream geomorphological approach, 4) an artificial structure-based DB analytical approach, and 5) other approaches. the overall evaluation of survey methodologies and applicability for longitudinal stream connectivity suggested that the ICE model (Information sur la Continuite Ecologique) and the ICF model (Index de Connectivitat Fluvial), widely used in European countries, were appropriate for the application of longitudinal connectivity evaluations in Korean streams.

The Impact of Brand Prestige on Patrons' Perception of Well-Being, Favorable Inequity, Affective Commitment, and Dedicational Behaviors in Luxury Restaurants: The Moderating Role of Brand Consciousness (럭셔리 레스토랑의 브랜드 명품화가 고객의 웰빙 지각도, 호의적 평가, 정서적 몰입 및 헌신적인 행위에 미치는 영향에 관한 연구: 브랜드 의식도의 조절 효과)

  • Hyun, Sung-Hyup;Hwang, Jin-Soo;Lee, Sang-Ho
    • Journal of the East Asian Society of Dietary Life
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    • v.21 no.3
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    • pp.438-450
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    • 2011
  • The purpose of this research was to investigate the impact of brand prestige on luxury marketing variables (patrons' perception of well-being, favorable inequity, affective commitment, and dedicational behaviors) in the luxury restaurant industry. Based on a thorough literature review, the clear definitions of each construct were established and theoretical causal relationships between the seven constructs were proposed (brand prestige, perception of well-being, favorable inequity, affective commitment, enhancement, advocacy, and brand consciousness). During this process, the moderating role of brand consciousness was also suggested. Integrating the proposed theoretical hypotheses, a structural model was created. This model was tested using the data collected from 527 luxury restaurant patrons in the United States. Data analysis revealed that brand prestige is a key determinant of favorable inequity and patrons' perception of well-being, thereby inducing two types of dedicational behaviors (enhancement and advocacy). More importantly, during this process, brand consciousness played a moderating role in the relationship between brand prestige and patrons' perception of well-being. Based on the data analysis results, the theoretical/practical implications were discussed.

Statistical Analysis for Risk Factors and Prediction of Hypertension based on Health Behavior Information (건강행위정보기반 고혈압 위험인자 및 예측을 위한 통계분석)

  • Heo, Byeong Mun;Kim, Sang Yeob;Ryu, Keun Ho
    • Journal of Digital Contents Society
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    • v.19 no.4
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    • pp.685-692
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    • 2018
  • The purpose of this study is to develop a prediction model of hypertension in middle-aged adults using Statistical analysis. Statistical analysis and prediction models were developed using the National Health and Nutrition Survey (2013-2016).Binary logistic regression analysis showed statistically significant risk factors for hypertension, and a predictive model was developed using logistic regression and the Naive Bayes algorithm using Wrapper approach technique. In the statistical analysis, WHtR(p<0.0001, OR = 2.0242) in men and AGE (p<0.0001, OR = 3.9185) in women were the most related factors to hypertension. In the performance evaluation of the prediction model, the logistic regression model showed the best predictive power in men (AUC = 0.782) and women (AUC = 0.858). Our findings provide important information for developing large-scale screening tools for hypertension and can be used as the basis for hypertension research.

Multi-Domain Security Management Framework and Its Performance Evaluation for Protecting BcN Infrastructure (BcN 인프라 보호를 위한 다중 도메인 보안 관리 프레임워크와 성능평가)

  • Jang Jung-Sook;Jeon Yong-Hee;Jang Jong-Soo
    • The KIPS Transactions:PartC
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    • v.12C no.6 s.102
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    • pp.817-826
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    • 2005
  • BcN(Broadband convergence Network) is being developed in order to support a variety of network applications, with enhanced capabilities of QoS(Quality of Service) provisioning and security, and IPv6. In a high-speed network environment such as BcN, it if more likely for the network resources to be exposed to various intrusion activities. The propagation speed of intrusion is alto expected to be much faster than in the existing Internet In this paper, we present a multi-domain security management framework which my be used for a global intrusion detection at multiple domains of BcN and describe its characteristics. For the performance evaluation, we first present test results for the security node and compare with other products. Then we design and Implement an OPNET simulator for the proposed framework, and present some simulation results. In the simulation model, we focus on the performance of alert information in the security overlay network.