• Title/Summary/Keyword: growth modeling

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A Study on the Participation depending on the Rebate changes in the DSM (전력 수요관리 프로그램의 지원금 변화에 따른 참여도 연구)

  • Park, Jong-Jin;Kim, Hyun-Woong;Kim, Jin-O
    • Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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    • v.22 no.10
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    • pp.18-23
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    • 2008
  • The electricity demand in Korea has rapidly increased along with a steady economic growth since 1970s. Therefore Korea has positively propelled not only SSM(Supply-Side Management) but also DSM(Demand-Side Management) activities to reduce investment cost of generating units and to save supply costs of electricity through the enhancement of whole national energy utilization efficiency. However study for rebate, which have influence on success or failure on DSM program, is not sufficient. This paper executed to modeling mathematically an amount of potential participants considering rebates, which have influence on penetration amounts for DSM program using by 'A Survey of End-User for Energy Efficiency Demand Side Management Programs'.

Web Service and Application modeling based on the Tru2Way technology (Tru2Way 기반의 웹서비스와 어플리케이션 모델)

  • Oh, Keum-Yong;Jun, Hae-Sik;Jung, Da-Na
    • Journal of KIISE:Information Networking
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    • v.36 no.5
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    • pp.376-382
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    • 2009
  • The recent growth of cable broadcast technology such as Tru2Way enables the cable service operator to provide more enhanced experiences to cable TV audience. As a result, various applications have been produced and user can easily access cable network to receive multimedia content as well as interactive application in cable environment. In order for current cable technology to be accepted as a web extended technology, a process of web based applications having a web document and multimedia resources, proper web service definition and middleware architecture for existing cable environment should be established. In this paper, we define a web application for cable environment and propose a middIeware architecture which can process web application based on Tru2Way technology

Predictor Variables of Developmental Trajectories in Problem Behavior and School Adjustment among Children from Low-Income Families (취약계층 아동의 문제행동과학교적응 발달궤적의 예측요인)

  • Lee, Ji Yeon;Chung, Ick Joong
    • Journal of the Korean Society of Child Welfare
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    • no.54
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    • pp.173-197
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    • 2016
  • This study aims to examine developmental trajectories and predictor variables of problem behaviors and school adjustment trajectories among children from low-income families using latent growth modeling. The data was collected from the 2nd year to the 4th year (2012-2014) of a community child center child panel survey conducted by the National Youth Policy Institute. The major findings are as follows. First, as the grade went up, the problem behaviors of children from low-income families increased while school adjustment decreased. Second, multi-level domains, such as individual, school, and family variables influenced school adjustment trajectory, while only individual variables, such as depression, isolation, and motivation for achievement influenced problem behavior trajectory. Third, common protective factors between problem behaviors and school adjustment trajectories were motivation for achievement in and satisfaction of the community child center. Common risk factors between problem behaviors and school adjustment trajectories were isolation and aggression. Based on the results, the implications for child welfare practices were discussed.

Modified Pharmacokinetic/Pharmacodynamic model for electrically activated silver-titanium implant system

  • Tan, Zhuo;Orndorff, Paul E.;Shirwaiker, Rohan A.
    • Biomaterials and Biomechanics in Bioengineering
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    • v.2 no.3
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    • pp.127-141
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    • 2015
  • Silver-based systems activated by low intensity direct current continue to be investigated as an alternative antimicrobial for infection prophylaxis and treatment. However there has been limited research on the quantitative characterization of the antimicrobial efficacy of such systems. The objective of this study was to develop a semi-mechanistic pharmacokinetic/pharmacodynamic (PK/PD) model providing the quantitative relationship between the critical system parameters and the degree of antimicrobial efficacy. First, time-kill curves were experimentally established for a strain of Staphylococcus aureus in a nutrientrich fluid environment over 48 hours. Based on these curves, a modified PK/PD model was developed with two components: a growing silver-susceptible bacterial population and a depreciating bactericidal process. The test of goodness-of-fit showed that the model was robust and had good predictability ($R^2>0.7$). The model demonstrated that the current intensity was positively correlated to the initial killing rate and the bactericidal fatigue rate of the system while the anode surface area was negatively correlated to the fatigue rate. The model also allowed the determination of the effective range of these two parameters within which the system has significant antimicrobial efficacy. In conclusion, the modified PK/PD model successfully described bacterial growth and killing kinetics when the bacteria were exposed to the electrically activated silver-titanium implant system. This modeling approach as well as the model itself can also potentially contribute to the development of optimal design strategies for other similar antimicrobial systems.

Factors Influencing Social and Economic Performance of Social Enterprises (사회적기업의 사회적·경제적 성과에 미치는 영향요인: 사회적미션, 고객지향성, 사회적네트워크, 비즈니스모델)

  • Kim, Hyeong-Min
    • Journal of Digital Convergence
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    • v.19 no.12
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    • pp.1-9
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    • 2021
  • The purpose of this study is to present the necessary success strategies for the social economy ecosystem and social enterprise stakeholders by empirically examining the structural relationship of factors that affect the sustainable dual performance of social enterprises. Through previous studies, hypotheses and research models were established for the performance factors of social enterprises, and hypothesis testing was performed using PLS-Structural Equation Modeling on 92 sample data collected from the survey. As a result of the analysis, it was found that the social mission, customer orientation, and social network set as performance factors all had a significant positive (+) effect on social performance. In addition, social performance had a significant (+) effect on economic performance by mediating customer orientation and social network excluding social mission, and it was found that the business model strengthened this relationship. In addition to the theoretical significance of demonstrating the structural influence of social enterprise performance factors through this study, practical implications can be found in that it suggests factors that social entrepreneurs should focus on for growth and performance creation.

A Study on Interest Factors of Game-based Metaverse : focused on the topic analysis of user community (게임 기반 메타버스의 사용자 흥미 요인 연구 : <동물의 숲> 사용자 커뮤니티의 토픽 분석을 중심으로)

  • Ahn, Jin-Kyoung;Kwak, Chanhee
    • Journal of Convergence for Information Technology
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    • v.11 no.10
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    • pp.1-9
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    • 2021
  • Although interest in the metaverse increases due to the pandemic, the understanding of the metaverse interest factor, which is an essential element for the sustainability of any metaverse platform, is lacking. This study aims to reveal the interest factors of metaverse services by analyzing user community discourse. We collected user community discourses from and applied LDA to extract topics. Further, we categorize the factors into growth and verifiable indicators, various levels of interaction, self-expression and freedom, and connection with the real world. The content planning direction of the game-based metaverse of utilization was derived. This study is meaningful in that it analyzes the interest factors of the metaverse based on the empirical evidence of user discourse data.

Single cell heterogeneity in human pluripotent stem cells

  • Yang, Seungbok;Cho, Yoonjae;Jang, Jiwon
    • BMB Reports
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    • v.54 no.10
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    • pp.505-515
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    • 2021
  • Human pluripotent stem cells (hPSCs) include human embryonic stem cells (hESCs) derived from blastocysts and human induced pluripotent stem cells (hiPSCs) generated from somatic cell reprogramming. Due to their self-renewal ability and pluripotent differentiation potential, hPSCs serve as an excellent experimental platform for human development, disease modeling, drug screening, and cell therapy. Traditionally, hPSCs were considered to form a homogenous population. However, recent advances in single cell technologies revealed a high degree of variability between individual cells within a hPSC population. Different types of heterogeneity can arise by genetic and epigenetic abnormalities associated with long-term in vitro culture and somatic cell reprogramming. These variations initially appear in a rare population of cells. However, some cancer-related variations can confer growth advantages to the affected cells and alter cellular phenotypes, which raises significant concerns in hPSC applications. In contrast, other types of heterogeneity are related to intrinsic features of hPSCs such as asynchronous cell cycle and spatial asymmetry in cell adhesion. A growing body of evidence suggests that hPSCs exploit the intrinsic heterogeneity to produce multiple lineages during differentiation. This idea offers a new concept of pluripotency with single cell heterogeneity as an integral element. Collectively, single cell heterogeneity is Janus-faced in hPSC function and application. Harmful heterogeneity has to be minimized by improving culture conditions and screening methods. However, other heterogeneity that is integral for pluripotency can be utilized to control hPSC proliferation and differentiation.

The Influence on the Information Security Techno-stress on Security Policy Resistance Through Strain: Focusing on the Moderation of Task Technology Fit (정보보안 기술스트레스가 스트레인을 통한 보안정책 저항에 미치는 영향: 업무기술 적합성의 조절 효과 중심)

  • Hwang, In-Ho
    • The Journal of the Korea institute of electronic communication sciences
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    • v.16 no.5
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    • pp.931-940
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    • 2021
  • As information security(IS) is recognized as a critical success factor for organizational growth, organizations are increasing their investment in adopting and operating strict IS policies and technologies. However, when strict IS technology is adopted, IS-related techno-stress may occur in the employees who apply IS technology to their tasks. This study proposes the effect of IS-related techno-stress formed in individuals on IS policy resistance through IS strain and proves that task-technology fit mitigates the negative effect of techno-stress. Research models and hypotheses were presented through previous studies, and the secured samples were used, and structural equation modeling was applied to verify hypothesis. As a result of the study, it was confirmed that IS-related techno-stress (overload, complexity) affected IS policy resistance through IS strain (anxiety, fatigue), and that task-technology fit moderated the relationship between techno-stress and strain. This study suggests a strategic direction for improving the level of internal IS from the viewpoint of suggesting ways to mitigate the stress of employees that may occur when IS policies and technologies are adopted.

Geriatric Dwelling Depression Measurement Based on Projective Image Analysis Modeling

  • Lee, Yewon;Park, Chongwook;Woo, Sungju
    • International Journal of Advanced Culture Technology
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    • v.6 no.4
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    • pp.323-330
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    • 2018
  • The growth of the older population is expected to further increase social problems associated with population aging, such as isolation, poverty, and depression. The emerging issues associated with the older population are also expected to provide further momentum on studies about the dwelling environment as factors that ensure the health of older people as well as improve their quality of life. Therefore, approaches for explaining the issues of the older age group should be diversified using a variety of factors and appropriate analytic tools. Studies on measuring depression have principally focused on assessing an objective self-report questionnaire, usually in a highly structured, textual form which may not reflect the cognitive impairment of older adults. The aim of this study was to define and measure dwelling depression among older adults in Korea. There are two specific hypotheses in this study as follows: (a) there will be statistically significant relationships with dwelling dissatisfaction and depression, and (b) dwelling depression tools containing text and images will be, respectively, assessment tools that have a good construct with content validity and reliability. In the first experiment, to define and measure dwelling depression, 301 people over 65 years old living in single and two-person households were surveyed using a text-based dwelling depression questionnaires from September 1-30, 2017. In the second experiment, to examine whether the projective image questionnaire could serve as a suitable replacement for the text-based questionnaires, the same participants were surveyed from January 22 to February 2, 2018. The results show that depression has a close correlation with dwelling dissatisfaction. In addition, the geriatric dwelling depression index (GDDI) based on the projective image was refined. Additionally, the projective image questionnaire has a close correlation with the text-based questionnaire. Finally, through ROC curve analysis, it was found that the projective image questionnaire can accurately predict a depression group. To this end, this preliminary study examined the validity of the projective image questionnaire in older adults to make this instrument feasible for older populations and to contribute to a profound understanding of geriatric depression due to the living environment. We hope they will provide a basis for further research on psychological diagnoses using projective images.

The Effect of Sustainable Fashion Brand's Advertising Color and Expression on Consumers' Emotions and Perceptions - Focus on Instagram - (지속가능 패션 브랜드 광고의 색채와 표현형식이 소비자의 감정과 인식에 미치는 영향 - 인스타그램 중심으로-)

  • Jiang, Wei;Ko, Eunju;Chae, Heeju
    • Fashion & Textile Research Journal
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    • v.21 no.4
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    • pp.432-451
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    • 2019
  • Companies and brands that practice sustainability pay attention to New Media due to its ability to build a sustainable relationship between companies and consumers. The need for research on specific roles, characteristics, and social media effects on eco-friendly advertising has had rapid growth in marketing programs for sustainable activities especially shown through social media. Information about sustainable fashion has spread to consumers through social media, and multifarious efforts have been made to attract the attention of youth. Despite the dramatic increase in eco-friendly marketing through social media as a part of sustainability, there is a lack of research on the major influences of emotional factors such as ad color and expression in social media. In this context, it is meaningful to identify relationships between emotional responses, advertising value and consumer behavior of sustainable fashion brands in Instagram and implement a suitable advertising type (color vs expression) for consumers. We used 366 responses for the final analysis. Data were analyzed by factor analysis, structural equation modeling using SPSS 18.0 and AMOS 18.0. The results of this study suggest that emotional responses, advertising value have a significant effect on the flow. This study expands on a previously limited research field by verifying consumer responses to image advertising on Instagram, rather than general sustainable fashion marketing. The study results also provide meaningful implications for a relation formation between customers and fashion brands vis-${\grave{a}}$-vis sustainable social media marketing.