• Title/Summary/Keyword: Use of positive behavior

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Analysis of Bacterial Community Structure in the Soil and Root System by 168 rRNA Genes (16S rDNA를 이용한 토양, 작물근계의 세균군집 구조해석)

  • Kim, Jong-Shik;Kwon, Soon-Wo;Ryu, Jin-Chang;Yahng, Chang-Sool
    • Korean Journal of Soil Science and Fertilizer
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    • v.33 no.4
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    • pp.266-274
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    • 2000
  • Understanding of microbial community structure in soil-root system is necessary to use beneficial soil and rhizosphere microbes for improvement of crop production and biocontrol. The knowledge of behavior and function of microbes in soil-root system plays a key role for the application of beneficial inocula. Because the majority of the intact bacteria in soil are unable to grow on nutrient media, both culturable and nonculturable bacteria have to be studied together. In our study, culture-independent survey of bacterial community in the soil-root system of red pepper fields was conducted by the sequence analysis of three universal clone libraries of genes which code for small-subunit rRNA (rDNA). Universal small subunit rRNA primers were used to amplify DNA extracted from each sample and PCR products were cloned into pGEM-T. Out of 27 clones sequenced, 25 clones were from domain bacteria. Two of the rDNA sequences were derived from eukaryotic organelles. Within the domain bacteria, several kingdoms were represented : the Proteobacteria (16 clones). Cytophyga-Flexibacter-Bacteroides group (2 clones). the high G+C content gram-positive group(1 clone) and 4 unknown clones.

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Health Risk Behaviors Affecting the Process of Pregnancy (임신경과에 영향을 미치는 건강위험행위)

  • Park, Chai-Soon;Mun, Mi-Seon;Hong, Gin-Hee;Lee, Jeoung-Eun
    • Women's Health Nursing
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    • v.6 no.4
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    • pp.549-565
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    • 2000
  • Comprehensive review of the literature was conducted to determine 1) selected risk factors and its impact that affect pregnancy outcome such as smoking, alcohol consumption, and substance abuse 2) these factors can facilitate future strategies for health promotion and prevention for both pregnant women and fetus. Review of literature were extracted from searching MEDLINE(1966 - Oct. 2000). CINAHL (1982 - Oct. 2000) and the domestic literature. The following factors were identified: 1. The effects of risk behaviors on pregnancy. ${\cdot}$Maternal smoking was associated with the occurrence of premature or LBW delivery, fetal growth retardation, extremities defects, heart defects and sudden infant death syndrome. ${\cdot}$Maternal alcohol consumption was associated with spontaneous abortion, premature or LBW delivery, morphologic/neurologic problems, especially fetal alcohol syndrome. ${\cdot}$Heroin was associated with withdrawal after birth in which were born to heroine addicts for gestational age and lung maturation in animal studies. ${\cdot}$Cocaine was associated with spontaneous abortion, abruptio placenta and a poor response to environmental stimuli. ${\cdot}$So far, the effects of caffeine on pregnancy was controversial, but severe caffeine consumption was associated with premature or LBW delivery, spontaneous abortion, still birth and dystocia. 2. Intervention methods and its effects identified were as follows ${\cdot}$Conducted intervention for smoking, alcohol and drug consumption were single or combined. ${\cdot}$Intervention methods were counseling, phone contact, mailing, use of educational videotape, booklet, support person and alternatives such as nicotine patch. ${\cdot}$The interventions increased the rates of smoking cessation during pregnancy and awareness of the risk of drug consumption, and decreased amount of alcohol consumption. ${\cdot}$The intervention outcome found positive effect on birth weight and length. 3. Our recommendations were as follows ${\cdot}$The personal and social cognition should be enhanced through education and the mass media. ${\cdot}$It's necessary to educate and give information of preconceptional care, planned pregnancy and early prenatal care for optimal pregnancy outcome. ${\cdot}$It's necessary to develop comprehensive assessment tool which is reliable and valid on smoking, alcohol consumption and substance abuse to identify supportive or interventional program.

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Photo Comics Courses targeting Mothers of Developmentally Disabled Children: A Case Study (발달장애 어머니 대상의 <포토툰 수업> 사례연구)

  • Kwon, Kyoung-Min
    • Cartoon and Animation Studies
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    • s.50
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    • pp.131-151
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    • 2018
  • Notwithstanding various discourses among scholars on the unique characteristics of comics, in Korea there is nevertheless a scarcity of quality research on the subject. Therefore, to promote quality research, it is important to consider how to best use source materials in the field of comics scholarship. Source materials can generally be categorized into three types: pre-existing comics, scholar-generated comics and user-generated comics. For this study, user-generated comics are the primary source materials, specifically comics created by mothers of children with disabilities. It is intended that this research will contribute to the future direction of education for mothers who suffer from a relative sense of alienation as the primary caregivers of children with special needs. Although therapeutic arts and cultural programs make a tremendous difference in the lives of these mothers, teaching methodology and educational opportunities are extremely limited. Furthermore, existing scholarship focuses primarily on either the psychological transformation of the individual or a phenomenological approach for parents to understand and deal with the problematic behavior of children with disabilities. However, this research does little to help improve learning programs for these parents. Against this backdrop, this research sets out to consider the potentiality and effectiveness of using comics in the education of mothers of children with disabilities. These mothers, by creating comics, develop better awareness of themselves in a positive and enriching way. It is therefore hoped that this research provides a useful analysis for developing the potentiality and effectiveness of these programs.

The Impact of Cognitive Factors of IS Security Risk Management(ISM) on Awareness and Intention to Develop ISM (보안관리 인지 요인이 조직의 정보시스템 보안위험관리에 대한 인식 및 개발의지에 미치는 영향)

  • Kim, Sanghyun;Song, Youngmi
    • Information Systems Review
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    • v.14 no.2
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    • pp.21-46
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    • 2012
  • Organizations that make widely use of information technologies can be more efficient. But, the dependence of information technologies leads to an increase in threat of security. This is the reason why organizations are investing in security risk management (SRM) which is designed to protect of information assets. Noting a lack of empirical research in SRM, we investigate the key factors having a direct effect on performance of SRM. Particularly, this study focused on identifying factors influencing awareness of SRM and Intention to develop SRM in Organization. Based on relevant literature review, six motivating factors, including Behavior for Security Management, Compliance with Security Policy, perceived Benefits, Perceived Sacrifice, Social Pressure, Experience of Security Risks, were initially identified. The results indicated that most perception factors were positively related to Organization's intention to develop SRM and awareness of SRM, which then had positive impact on performance of SRM. But Perceived Sacrifice was not significantly related to two variables which is Organization's intention to develop SRM and awareness of SRM.

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Detecting Stress Based Social Network Interactions Using Machine Learning Techniques

  • S.Rajasekhar;K.Ishthaq Ahmed
    • International Journal of Computer Science & Network Security
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    • v.23 no.8
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    • pp.101-106
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    • 2023
  • In this busy world actually stress is continuously grow up in research and monitoring social websites. The social interaction is a process by which people act and react in relation with each other like play, fight, dance we can find social interactions. In this we find social structure means maintain the relationships among peoples and group of peoples. Its a limit and depends on its behavior. Because relationships established on expectations of every one involve depending on social network. There is lot of difference between emotional pain and physical pain. When you feel stress on physical body we all feel with tensions, stress on physical consequences, physical effects on our health. When we work on social network websites, developments or any research related information retrieving etc. our brain is going into stress. Actually by social network interactions like watching movies, online shopping, online marketing, online business here we observe sentiment analysis of movie reviews and feedback of customers either positive/negative. In movies there we can observe peoples reaction with each other it depends on actions in film like fights, dances, dialogues, content. Here we can analysis of stress on brain different actions of movie reviews. All these movie review analysis and stress on brain can calculated by machine learning techniques. Actually in target oriented business, the persons who are working in marketing always their brain in stress condition their emotional conditions are different at different times. In this paper how does brain deal with stress management. In software industries when developers are work at home, connected with clients in online work they gone under stress. And their emotional levels and stress levels always changes regarding work communication. In this paper we represent emotional intelligence with stress based analysis using machine learning techniques in social networks. It is ability of the person to be aware on your own emotions or feeling as well as feelings or emotions of the others use this awareness to manage self and your relationships. social interactions is not only about you its about every one can interacting and their expectations too. It about maintaining performance. Performance is sociological understanding how people can interact and a key to know analysis of social interactions. It is always to maintain successful interactions and inline expectations. That is to satisfy the audience. So people careful to control all of these and maintain impression management.

Student-, School-, and ICT-Factors Predicting Computer-based Collaborative Problem Solving: Focusing on Analyses of Multi-level Models (컴퓨터 기반의 협력적 문제해결력 성취를 예측하는 학생과 학교 및 ICT 요인 : 다층모형 분석을 중심으로)

  • Lim, Hyo Jin;Lee, Soon Young
    • Journal of The Korean Association of Information Education
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    • v.22 no.4
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    • pp.457-471
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    • 2018
  • This study examined student- and school-level background and ICT factors that affected PISA 2015 Collaborative Problem Solving (CPS) for Korean students (4863 students from 142 high schools). A two-level hierarchical linear model (HLM) was analyzed from the basic model (model 1) with no predictors to the final model (model 5) with all predictors. Results showed that first, gender, socioeconomic/cultural backgrounds, cooperation level positively predicted CPS scores while perceived unfairness of teacher negatively predicted the outcome. Second, the more frequently ICT was used for out-of-school learning purposes, the less frequently ICT was used for entertainment purposes, and the less frequently ICT was used in schools, the higher CPS scores were. Considering ICT autonomy and social interaction variables measured for the first time in PISA 2015, students who were more interested in ICT and more autonomous in using ICT devices achieved higher CPS scores. On the other hand, the more students considered ICT important as social interaction, the less they gained CPS scores. Third, in terms of school-level characteristics, the smaller the students behavior detrimental to learning, the higher the teachers perceived positive working environment, and the fewer the number of computers available per student, the higher CPS scores were. To facilitate computer-based collaborative problem-solving competence, it is important for students to have interest and autonomy in using ICT. In addition, the guidelines of ICT use and SW curriculum need to be established in order to increase the effectiveness of using ICT device in school.

The PTCR Effect in Lead-free (1-x)$BaTiO_3$ - $x(Bi_{0.5}K_{0.5})TiO_3$ Ceramics Doped with $Nb_2O_5$ ($Nb_2O_5$가 도핑된 (1-x)$BaTiO_3$ - $x(Bi_{0.5}K_{0.5})TiO_3$ 무연 세라믹스의 PTCR 효과)

  • Jeong, Young-Hun;Park, Yong-Jun;Lee, Young-Jin;Paik, Jong-Hoo;Lee, Woo-Young;Kim, Dae-Joon
    • Proceedings of the Korean Institute of Electrical and Electronic Material Engineers Conference
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    • 2008.06a
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    • pp.52-52
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    • 2008
  • The positive temperature coefficient of resistivity (PTCR) effect in (1-x)$BaTiO_3$ - $x(Bi_{0.5}K_{0.5})TiO_3$ doped with $Nb_2O_5$ was investigated. $(Bi_{1/2}K_{1/2})TiO_3$ (BKT) is more environment-friendly than $PbTiO_3$ in order to use in PTC thermistors. The incorporation of 1 mol% BKT to $BaTiO_3$ increased the Curie temperature (Tc) to $148^{\circ}C$. Doping of $Nb_2O_5$ to $Ba_{0.99}(Bi_{0.5}K_{0.5})_{0.01}TiO_3$ (BaBKT) ceramic has enhanced its PTCR effects. For the sample containing 0.025 mol% $Nb_2O_5$, it showed good PTCR properties; low resistivity at room temperature (${\rho}_r$) of 30 $\Omega{\cdot}cm$, a high PTCR intensity of approximately $3.3\times10^3$, implying the ratio of maximum resistivity to minimum resistivity (${\rho}_{max}/{\rho}_{min}$) in the measured temperature range, and a large resistivity temperature factor (a) of 13.7%/$^{\circ}C$ along with a high Curie temperature (Tc) of $167^{\circ}C$. In addition, the cooling rate of the samples during the sintering process had an influence on their PTCR behavior. All the samples showed the best ${\rho}_{max}/{\rho}_{min}$ ratio when they have cooled down at a rate of $600^{\circ}C$/min.

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On Improving the Attention of Young Boys and Girls with Learning Disabilities through Well Organized Music Activities : A Case Study (구조화된 음악활동을 통한 학습장애 청소년의 주의집중력 향상에 관한 연구)

  • Lim, Myong Hee
    • Journal of Music and Human Behavior
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    • v.1 no.1
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    • pp.47-71
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    • 2004
  • Students with learning disability have difficulty with attention and academic achievement Music can be an effective tool to enhance level of participation. The purpose of this study is to examine how much can be structured to enhance the attention span and related academic skills needed to achieve educational goals. The study has implemented structured music therapy sessions for three middle school students with learning disability. They participated in 20 sessions which were 30 minutes in length for ten weeks. The implemented music therapy sessions were designed using songs, playing, and listening to music. In order to test their level of attention, Frankfurter Aufmerksamkeits-Inventar(FAIR) Attention Test is implemented and Conners' Comprehensive Teacher's Rating Scale(CTRS-10) are used on the week before and after music activities. Also videotaping is used so as to analyze how correctly they do their task and how the correctness is changed period by period and to evaluate how often for ten minutes they make an eye contact with their teacher. The conclusions of this study are as follows: Firstly, the organized music activities have a positive affection on improving the attention of three middle school students who have learning disabilities. Fair Attention Test shows that they can do their task with more accuracy than in the previous period. Secondly, three students of this study improved their attention and made an eye contact more often than before this study, which is revealed through the analysis of the pre and post test results evaluated by CTRS-10. The results of the study indicate that structured use of music in various level of activities can help students to enhance attention span and the related academic skills.

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Inadividual Behaviors Regarding Financial MyData Service Resistance: Impacts of Innovation Resistance and Distruct (금융 마이데이터 서비스 수용저항에 대한 개인의 행동: 혁신저항과 불신의 영향)

  • Sanghyun Kim;Hyunsun Park;Changyong Sohn
    • Information Systems Review
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    • v.25 no.4
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    • pp.291-314
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    • 2023
  • The concept of Mydata emerged with the expansion of the data economy. MyData aims to empower individuals by enhancing their right to self-determination over their personal data. The use of MyData is expected to enable the provision of innovative service in various fields. Since 2022, MyData has been introduced and actively used in the financial sector. In the future, not only financial institutions but also Bigtech and Fintech companies are expected to actively join and demonstrate rapid expansion. To ensure steady growth for MyData in the financial sector, it is necessary to assess acceptance behaviors from multiple perspectives. However, the majority of existing research solely focuses on positive acceptance. This study analyzed the impact of users' personal characteristics and innovation characteristics on both innovation resistance and acceptance resistance. The analysis revealed that personal and innovation characteristics contribute to an increase in distrust and innovation resistance in the MyData service. In addition, it has been confirmed that it can lead to actions such as delayed acceptance and refusal to accept. The results of this study offer both theoretical and practical insights into user behavior within the MyData service market.

A study on macro detection using information of touch events in Android mobile game environment (안드로이드 모바일 게임 환경에서의 터치 이벤트 정보를 이용한 매크로 탐지 기법 연구)

  • Kim, Jeong-hyeon;Lee, Sang-jin
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.25 no.5
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    • pp.1123-1129
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    • 2015
  • Macro(automatic hunting) of mobile game is a program that touch the screen by defined rules like a game bot in PC online games, and it is used by make various ways like android application or windows application program. This gives honest users deprivation and make to lose their interest. Finally they would leave the game and gradually game life would be shorten. Although many studies to prevent these problems in PC online game are conducted, applying mobile game to PC's way is difficult because mobile games are limited to use the network and device performance is different with PC. In this paper, we propose a framework for macro detection by using the touch event information. A touch event on the mobile game is a necessary control command to the game. Because macro touches the screen with the same pattern, there is a difference between normal user's behavior and macro's operation. In mobile games that casual games are mostly, Touch event is the best difference that identify normal user against macro for a short period of time. As a result of detecting macros used in real mobile game by using the proposed framework it showed 100% accuracy and 0% false positive rate.