• Title/Summary/Keyword: Challenge Model

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Need of Health Center-based Integrated Healthcare Services for the Elderly in Rural Area (농촌지역 보건소 중심의 노인 통합보건의료서비스 필요도)

  • Won, Eun-Sook;Chang, Sei-Jin;Park, Jong-Ku;Hyun, Sook-Jung;Kim, Chun-Bae
    • Journal of agricultural medicine and community health
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    • v.32 no.1
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    • pp.27-39
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    • 2007
  • Objectives: The challenge of an increasing elderly population has coupled with everpresent social concerns in Korea. A major problem in health center for the frail older people is that medical, healthcare, and welfare services are often fragmented in terms of providers and settings without appropriate coordination. The purpose of this study was to investigate the need of health center-based integrated healthcare services and its related factors for the elderly. Methods: A total of 110 elderly people who had visited at a county Health Center were interviewed using a self-administered questionnaire from November to December, 2005. The questionnaire consists of five domains according to the Program of All-inclusive Care for the Elderly. Results: Respondents had high need (total mean score with the 5-point Likert-type sacle: 3.67) of health center-based integrated healthcare services including home visiting service (mean: 4.08), chronic disease care service (mean: 4.06), and transportation service (mean 4.05). According to the results of hierarchical multiple regression analysis, among three regression models the magnititude of the variance of full model that is explained by the need of welfare-domain service was significantly larger than two reduced model. Income was a significant variable in increasing the need of health care and welfare services. Conclusions: This study suggests that the health center-based integrated healthcare services for the elderly must be continuously developed and provided for the health promotion and improved the quality of life of the elderly who live in rural area in Korea.

A Study on User Adoption of Advanced ICTs in Uganda : Focused on GIS/GPS Gorilla Tracking System (우간다에서의 고급 정보통신기술 수용도 연구 : GIS/GPS 고릴라 추적 시스템 사례)

  • Tedson, Twesigye;Hwang, Gee-Hyun
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.39 no.3
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    • pp.192-203
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    • 2016
  • Uganda is a country blessed with the biggest number of mountain Gorillas in the whole world. These animals contribute at least 12% in revenue generation to the Tourism sector through tracking by both local and foreign tourists who pay for the tracking permits. However, Gorilla tracking is also a big challenge even in the presence of highly skilled and well-trained game rangers. Development and implementation of a secure Computer and Mobile based Gorilla Tracking (GT) system that uses GIS and GPS technologies would be the most ideal technology to use. Therefore, this study aimed to find out the critical factors that would affect the Behavioral Intention of the would-be users to successfully decide to use such GIS/GPS-GT system. We used the existing UTAUT model to integrate six factors such as Performance Expectancy, Effort Expectancy, Employee Peer Influence, Facilitating Conditions, Behavioral Intention and System Use. However, Infrastructure Availability and Non-Technical Facilitating Conditions were added to reflect Ugandan ICT context. This amended UTAUT model was used to carry out the survey. The questionnaire was emailed to 220 government employees in the fields of ICT, Tour and Travel, Environmental Groups officials and Farmers who garden near the game reserves. A total of 133 were obtained fully completed, whereas 127 were deemed usable thus yielding a response rate of 58%. The analysis results show that except for non-technical facilitating conditions, effort expectancy, peer influence, performance expectancy and infrastructure availability positively affects behavioral Intention to use GIS/GPS-GT. This indicates that people in Uganda don't bother about regulations and rules in regard to using information system. As long as the system does what they want it to, anything else does not matter. As an employee in an organization is told to use a system by their supervisor, they have no objection to otherwise they risk losing their job. This implies that, supervisors have a great responsibility in the process of developing, implementing and using the system in Uganda.

Responsiveness Comparisons of Self-Report Versus Therapist-Scored Functional Capacity for Workers With Low Back Pain

  • Choi, Bongsam;Park, So-Yeon
    • Physical Therapy Korea
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    • v.19 no.3
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    • pp.91-97
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    • 2012
  • The primary aim of this study was to compare responsiveness of self-report by worker and therapist-scored functional capacity instrument. Self-report and therapist-scored interval-level person measures and item difficulties were compared at admission and discharge. Therapist and worker ratings were collected on 230 clients from 27 rehabilitation sites using the newly developed Occupational Rehabilitation Data Base (ORDB) functional capacity instrument. ORDB comprises several subscales measuring relevant variables of "a return-to-work model" in work-related rehabilitation clinics. The functional capacity scale deals with 10 DOT job factors. The rating scale categories were 1-severely impaired, 2-moderately impaired, 3-mildly impaired, and 4-not impaired. Only data from clients with low back pain (n=98) with complete data (both admission and discharge scores) were used for the present study. Therapists and workers completed the functional capacity instrument at admission and discharge. Rasch analysis [1-parameter item response theory model (IRT)] was applied to calibrate item difficulty and person ability measure of therapist and workers ratings. Effect sizes for therapist and self-report ratings were slightly different, .69 and .30, respectively. Therapist and worker ratings were more consistent at discharge (r=.54) than at admission (r=.32). Workers have a tendency to be more severe in their ratings (show higher item difficulties) than therapists at admission and discharge. Therapists and workers report similar magnitudes of improvement following treatment program. These findings challenge the belief that injured workers may unreliable source for monitoring therapeutic outcomes. Self-report measures have the advantage of conserving therapist time for treatment (versus evaluation). While the therapist and self-report ratings are comparable at discharge, there is less consistency at admission. Comparable therapist-worker ratings may be achieved by controlling for rating severity using IRT methodologies.

A Case Study of Discontinuous Innovation Based on Cusp Catastrophe Model : Implications for Predictive Risk Management (첨점 격변 모형에 기반 한 불연속 혁신의 유형별 사례 연구: 예측적 위기관리 측면)

  • Kim, Sung-Cheol;Shin, Minsoo
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.14 no.5
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    • pp.2140-2149
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    • 2013
  • Managing uncertainty or discontinuity in an innovation is still a challenge to most companies. For sustainable corporate survival over the long term, one of the problems caused by discontinuous innovation is the innovator's dilemma. In specific, the dynamics between discontinuous innovation and incumbents inspires the interestof researchers and managers. This paper employs catastrophe theory as a theoretical basis to explain the driving force of new discontinuous change. In other words, we extract the control variables overcoming innovation dilemma by interpreting the dynamics of corporate strategy for discontinuous innovation from the perspective of catastrophe theory. First, we define four types of discontinuity such as technology discontinuity, product discontinuity, business discontinuity, and consumer preference discontinuity. Second, we analyze the dynamics of the competition between companies by interpreting the cases of discontinuous innovation. This analyzing process enables us to identify the control variable which can, in advance, respond to the discontinuous situation.

Protective Effects of Acorn (Quercus acutissima CARR.) against IgE-mediated Allergic and Ovalbumin (OVA)-Induced Asthmatic Responses via Inhibition of Oxidative Stress

  • Chung, Mi-Ja;Jo, Hang-Soo;Choi, Ha-Na;Cho, Soo-Muk;Park, Yong-Il
    • Journal of Pharmaceutical Investigation
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    • v.41 no.6
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    • pp.355-362
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    • 2011
  • This work was performed to investigate the protective effect of ethanol extract (AEx) from acorn (Quercus acutissima CARR.) against allergic mediated responses in asthma model cells and mice. The AEx inhibited antigen-stimulated cytokine production such as interleukin (IL)-4, IL-13 and tumor necrosis factor-${\alpha}$ (TNF-${\alpha}$) and AEx also inhibited intracellular reactive oxygen species (ROS) generation against IgE-mediated allergic response in rat basophilic leukaemia RBL-2H3 cells. The ovalbumin (OVA)-sensitized mice were orally administered with AEx (100 or 300 mg/kg) and authentic tannic acid (75 mg/kg) every day for 15 days. Increased TNF-${\alpha}$ production by OVA-sensitization/challenge was significantly reduced by administration of AEx. The serum triglyceride levels of asthma mice were significantly reduced after feeding for 15 days with tannic acid or AEx. The mice fed with tannic acid or AEx also exhibited a significant reduction in body weights compared to those of asthma control group. The AEx increased the heme oxygenase (HO)-1 mRNA expression in the asthma model mice and showed DPPH radical scavenging activity. These results indicate that AEx protects against IgEmediated allergic and OVA-induced asthmatic responses via direct and indirect antioxidant activities. Reduced triglyceride and body weights may provide additional protective benefits of AEx on allergic asthma.

Modeling and Implementation of the Affordance-based Human-Machine Collaborative System (어포던스 기반의 인간-기계 협업 모델을 이용한 제조 시스템 구현 연구)

  • Oh, Yeong Gwang;Ju, Ikchan;Lee, Wooyeol;Kim, Namhun
    • Journal of Korean Institute of Industrial Engineers
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    • v.41 no.1
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    • pp.34-42
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    • 2015
  • Modeling and control of human-involved manufacturing systems poses a huge challenge on how to model all possible interactions among system components within the time and space dimensions. As the manufacturing environment are getting complicated, the importance of human in the manufacturing system is getting more and more spotlighted to incorporate the manufacturing flexibility. This paper presents a formal modeling methodology of affordance-based MPSG (Message-based Part State Graph) for a human-machine collaboration system incorporating supervisory control scheme for flexible manufacturing systems in automotive industry. Basically, we intend to extend the existing model of affordance-based MPSG to the real industrial application of humanmachine cooperative environments. The suggested extension with the real industrial example is illustrated in three steps; first, the manufacturing process and relevant data are analyzed in perspectives of MABA-MABA and the supervisory control; second, the manufacturing processes and task allocation between human and machine are mapped onto the concept of MABA-MABA; and the last, the affordance-based MPSG of humanmachine collaboration for the manufacturing process is presented with UMLs for verification.

Joint Subcarriers and Power Allocation with Imperfect Spectrum Sensing for Cognitive D2D Wireless Multicast

  • Chen, Yueyun;Xu, Xiangyun;Lei, Qun
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.7 no.7
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    • pp.1533-1546
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    • 2013
  • Wireless multicast is considered as an effective transmission mode for the future mobile social contact services supported by Long Time Evolution (LTE). Though wireless multicast has an excellent resource efficiency, its performance suffers deterioration from the channel condition and wireless resource availability. Cognitive Radio (CR) and Device to Device (D2D) are two solutions to provide potential resource. However, resource allocation for cognitive wireless multicast based on D2D is still a great challenge for LTE social networks. In this paper, a joint sub-carriers and power allocation model based on D2D for general cognitive radio multicast (CR-D2D-MC) is proposed for Orthogonal Frequency-Division Multiplexing (OFDM) LTE systems. By opportunistically accessing the licensed spectrum, the maximized capacity for multiple cognitive multicast groups is achieved with the condition of the general scenario of imperfect spectrum sensing, the constrains of interference to primary users (PUs) and an upper-bound power of secondary users (SUs) acting as multicast source nodes. Furthermore, the fairness for multicast groups or unicast terminals is guaranteed by setting a lower-bound number of the subcarriers allocated to cognitive multicast groups. Lagrange duality algorithm is adopted to obtain the optimal solution to the proposed CR-D2D-MC model. The simulation results show that the proposed algorithm improves the performance of cognitive multicast groups and achieves a good balance between capacity and fairness.

Socio-Technological System Transition and Innovation Activities of Firms (사회-기술 시스템 전환과 기업 혁신활동)

  • Hwang, Hye-Ran;Song, Wi-Chin
    • Journal of Technology Innovation
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    • v.22 no.4
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    • pp.57-88
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    • 2014
  • The 'Grand Challenge' in the global level raises fundamental questions on the role of private firm as a profit maximizer. From the new perspective, firms are recognized as a social entity with social and environmental responsibility. Particularly, the importance of transition-orineted firms, which pursue an objective of socio-technological system transition, have increased. These environmental changes request a new understanding on the identification of firms and the evolution of sustainable business model from the technological innovation perspectives. This paper aims on the new understanding on the motivation of firms who participated on the sustainable system transition and the proposal of 'transition-oriented firms' concept. Based on literature survey, this paper reviews the role of firms in the process of socio-technological system transition, the cases of transition-oriented firm, the types of sustainable business models and their strategies.

Active Immunization Study of Colon Cancer Derived 1-8D Peptide in HHD Mice

  • Jung, Hun-Soon;Ahn, In-Sook;Do, Hyung-Ki;Lemonnier, Francois A.;Song, Kuk-Hyun;Do, Myoung-Sool
    • IMMUNE NETWORK
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    • v.5 no.3
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    • pp.157-162
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    • 2005
  • Background: 1-8D gene is a member of human 1-8 interferon inducible gene family and was shown to be overexpressed in fresh colon cancer tissues. Three peptides 1-6, 3-5 and 3-7 derived from human 1-8D gene were shown to have immunogenicity against colon cancer. Methods: To study tumor immunotherapy, of three peptides we established an active immunization model using HHD mice. $D^{b-/-}{\times}{\beta}2$ microglobulin $({\beta}2m)$ null mice transgenic for a chimeric HLA-$A2.1/D^{b-}\;{\beta}2m$ single chain (HHD mice) were challenged with B16/HHD/1-8D tumor cells and were immunized with irradiated peptide-loaded RMA- S/HHD/B7.1 transfectants. In therapy model tumor growth was retarded in HHD mice that were injected with 3-5 peptide-loaded RMA-S/HHD/B7.1. In survival test vaccination with 1-8D-derived peptide protects HHD mice from tumor progression after tumor challenge. Results: These studies show that peptide 3-5 derived from 1-8D gene can be the most effective candidate for the vaccine of immunotherapy against colon cancer and highlight 1-8D gene as putative colon carcinoma associated antigens. Conclusion: We demonstrated that RMA-S/HHD/ B7.1 loaded with 1-8D peptides, especially 3-5, immunization generates potent antitumor immunity against tumor cells in HHD mice and designed active immunization as proper immunotherapeutic protocols.

A comparison of deep-learning models to the forecast of the daily solar flare occurrence using various solar images

  • Shin, Seulki;Moon, Yong-Jae;Chu, Hyoungseok
    • The Bulletin of The Korean Astronomical Society
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    • v.42 no.2
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    • pp.61.1-61.1
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    • 2017
  • As the application of deep-learning methods has been succeeded in various fields, they have a high potential to be applied to space weather forecasting. Convolutional neural network, one of deep learning methods, is specialized in image recognition. In this study, we apply the AlexNet architecture, which is a winner of Imagenet Large Scale Virtual Recognition Challenge (ILSVRC) 2012, to the forecast of daily solar flare occurrence using the MatConvNet software of MATLAB. Our input images are SOHO/MDI, EIT $195{\AA}$, and $304{\AA}$ from January 1996 to December 2010, and output ones are yes or no of flare occurrence. We consider other input images which consist of last two images and their difference image. We select training dataset from Jan 1996 to Dec 2000 and from Jan 2003 to Dec 2008. Testing dataset is chosen from Jan 2001 to Dec 2002 and from Jan 2009 to Dec 2010 in order to consider the solar cycle effect. In training dataset, we randomly select one fifth of training data for validation dataset to avoid the over-fitting problem. Our model successfully forecasts the flare occurrence with about 0.90 probability of detection (POD) for common flares (C-, M-, and X-class). While POD of major flares (M- and X-class) forecasting is 0.96, false alarm rate (FAR) also scores relatively high(0.60). We also present several statistical parameters such as critical success index (CSI) and true skill statistics (TSS). All statistical parameters do not strongly depend on the number of input data sets. Our model can immediately be applied to automatic forecasting service when image data are available.

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