• Title/Summary/Keyword: behavioral approach

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Considering the Concept of Resilience toward Applying to System Dynamics Approach (시스템의 회복성에 대한 이론적 검토와 시스템 다이내믹스 방법론의 적용)

  • Jeon, Dae Uk
    • Korean System Dynamics Review
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    • v.14 no.2
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    • pp.5-30
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    • 2013
  • The concept of resilience in complex and adaptive socio-economic systems, has been a buzz word in international societies and academies related to policy makers for sustainable development since some years ago. This paper deals with an application of the resilient concept, which has been told since the last some decades in the field of ecology and applied system sciences, to social science especially in system dynamics. First the author introduces the concept of equilibrium stability and resilience in simple dynamic models, and moreover provides the behavioral characteristics and examples of system resilience in terms of system dynamics. The concept of resilience in structural perspectives are also discussed with the topics of panarchy and adaptive renewal cycles, etc.

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Recent Advances in Anti-Obesity Agents (비만 약물 치료의 최신 지견)

  • Kim, Min Kyung;Kim, Chul Sik
    • The Korean Journal of Medicine
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    • v.93 no.6
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    • pp.501-508
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    • 2018
  • Obesity is a chronic disorder that is a significant risk factor for diabetes, cardiovascular diseases, malignancy, and other chronic diseases. Lifestyle modifications form the basis of most treatments for obesity, but it has become clear that such modifications alone are not enough for many obese patients. When a behavioral approach is insufficient, pharmacological treatment may be recommended. In recent years, the US Food and Drug Administration (FDA) has withdrawn several therapeutic options for obesity due to their side effects, but has approved four novel anti-obesity agents. Until recently, orlistat was the only drug approved for the management of long-term obesity, but the US FDA approved the novel anti-obesity drugs lorcaserin and phentermine/topiramate in 2012, and naltrexone/bupropion and liraglutide in 2014. The present review discusses the different pharmacotherapeutic options for the treatment of obesity.

Conversation Assistive Technology for Maintaining Cognitive Health

  • Otake-Matsuura, Mihoko
    • Journal of Korean Gerontological Nursing
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    • v.20 no.sup1
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    • pp.154-159
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    • 2018
  • Purpose: There is a need for artificial intelligence which nurtures human intelligence as the prevalence of dementia and collapse of intelligence of human beings has become a social problem. Purpose of this study is to develop intervention technologies for maintaining cognitive health of older adults. Methods: The method named the Coimagination Method (CM) was proposed and has been developed in order to achieve goal. Conversation assistive technologies have been developed and tested based on the method. Results: The state of the art of the group conversation support system, and regular series of group conversation sessions for full-years with insights for healthy older adults are described in detail. Participatory approach has been applied to the design process for simultaneous research and implementation of the service. Both participants and practitioners have been maintaining their cognitive health for independent living. Conclusion: Findings imply that there exist potentially preventive types of dementia and intervention should be applicable for such types. Ways of thinking and living are gently intervened through understanding of personal values and broadening minds, which lead to improved quality of life.

Analyzing Dog Health Status through Its Own Behavioral Activities

  • Karimov, Botirjon;Muminov, Azamjon;Buriboev, Abror;Lee, Cheol-Won;Jeon, Heung Seok
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2019.07a
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    • pp.263-266
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    • 2019
  • In this paper, we suggest an activity and health monitoring system to observe the status of the dogs in real time. We also propose a k-days algorithm which helps monitoring pet health status using classified activity data from a machine learning approach. One of the best machine learning algorithm is used for the classification activity of dogs. Dog health status is acquired by comparing current activity calculation with passed k-days activities average. It is considered as a good, warning and bad health status for differences between current and k-days summarized moving average (SMA) > 30, SMA between 30 and 50, and SMA < 50, respectively.

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Acceptance and commitment therapy (수용전념치료)

  • Na, Euihyeon
    • Journal of Medicine and Life Science
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    • v.15 no.2
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    • pp.51-55
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    • 2018
  • Acceptance and Commitment Therapy (ACT) is a functional contextual intervention approach based on the behavioral theory on human language, which views human suffering as originating in psychological inflexibility fostered by cognitive fusion and experiential avoidance. Thus, the goal of ACT is to enhance psychological flexibility using six core processes including acceptance, cognitive defusion, self-as-context, contact with present moment, values clarification, and committed action. Recent clinical trials have suggested the efficacy for ACT in the treatment of various mental illness and psychological distress. The aim of this review is to offer more knowledge and better understanding of ACT by presenting its underlying principle and an overview of the research field.

A Study on the Factors of Intention of Continued Use of the Convenient Payment Service: The Perspectives of the Flow, the Reliability and the Innovative Resistance (간편결제 서비스의 지속사용의도에 영향을 미치는 요인에 관한 연구: 플로우, 신뢰 및 혁신저항을 중심으로)

  • Son, Dal Ho
    • The Journal of Information Systems
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    • v.30 no.1
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    • pp.1-20
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    • 2021
  • Purpose The purpose of this study is to deduct the motivative factors such as perceived value, trust, innovative resistance and flow from the pervious studies and to examine the effect of the motivative factors in the continued use of convenient payment service. Design/methodology/approach This study made a design of the research model by integrating the factors deducted from the Value-based Adoption Model and the Innovative Resistance Model with the factors deducted from the Flow Theory. Findings Results showed that perceived value had a significant effect on trust and innovative resistance. Moreover, trust had a significant effect on flow and continued use. Finally, innovative resistance and flow had a significant effect on continued use. However, the research model in this study was derived from a behavioral point of view, therefore, this model needs to combine the various factors of related fields.

Machine Learning-Based Programming Analysis Model Proposal : Based on User Behavioral Analysis

  • Jang, Seonghoon;Shin, Seung-Jung
    • International journal of advanced smart convergence
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    • v.9 no.4
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    • pp.179-183
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    • 2020
  • The online education platform market is developing rapidly after the coronavirus infection-19 pandemic. As school classes at various levels are converted to non-face-to-face classes, interest in non-face-to-face online education is increasing more than ever. However, the majority of online platforms currently used are limited to the fragmentary functions of simply delivering images, voice and messages, and there are limitations to online hands-on training. Indeed, digital transformation is a traditional business method for increasing coding education and a corporate approach to service operation innovation strategy computing thinking power and platform model. There are many ways to evaluate a computer programmer's ability. Generally, piecemeal evaluation methods are used to evaluate results in time through coding tests. In this study, the purpose of this study is to propose a comprehensive evaluation of not only the results of writing, but also the execution process of the results, etc., and to evaluate the programmer's propensity habits based on the programmer's coding experience to evaluate the programmer's ability and productivity.

Perspectives on the Use of Robots in Etho-experimental Approaches to Animal Behavior (심리학 및 행동생물학적 연구에서 동물 로봇의 활용과 전망)

  • Choi, June-Seek
    • The Journal of Korea Robotics Society
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    • v.17 no.1
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    • pp.86-92
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    • 2022
  • Utilization of small robots in psychology and biology provides a new breakthrough in understanding the neurobiological mechanisms of various animal behavior. The expansion of robot use in animal research is partly due to increased availability of economically plausible mobile robots and also due to the current shift in animal research toward more ecologically valid experiments. Ground-breaking experimental findings are expected when the behavioral variables are manipulated in more natural situations. In addition, the results from laboratory could be generalized more easily with added ecological validity. The current paper attempts to review a wide range of applications of animal robots used to study animal behavior and to highlight major advantages and limitations. In particular, this review focuses more on the psychological impact of animal robots than engineering details about their structure and operation. Finally, this review will provide some practical considerations when employing robots in animal experiments.

Management of Chronic Pain in Temporomandibular Disorders

  • Kyung-Hee Kim;Hye-Min Ju;Sung-Hee Jeong;Yong-Woo Ahn;Hye-Mi Jeon;Soo-Min Ok
    • Journal of Oral Medicine and Pain
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    • v.47 no.4
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    • pp.174-182
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    • 2022
  • In chronic temporomandibular disorders (TMDs), constituent tissues such as muscles are sensitive to pain and psychological stress, which negatively affect the quality of life. In addition, since chronic TMDs is often accompanied by diseases such as psychological disorders and other chronic pain disorders, the diagnosis of those diseases and patient referrals are mandatory. The management of chronic pain in TMDs requires a multidisciplinary and holistic approach. Pharmacological therapy using cyclobenzaprine, serotonin and norepinephrine reuptake inhibitors, tricyclic antidepressants, progressive relaxation, and psychological approaches using cognitive behavioral therapy such as shifting negative thoughts about pain are all valid treatment options.

Participation Level in Online Knowledge Sharing: Behavioral Approach on Wikipedia (온라인 지식공유의 참여정도: 위키피디아에 대한 행태적 접근)

  • Park, Hyun Jung;Lee, Hong Joo;Kim, Jong Woo
    • Journal of Intelligence and Information Systems
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    • v.19 no.4
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    • pp.97-121
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    • 2013
  • With the growing importance of knowledge for sustainable competitive advantages and innovation in a volatile environment, many researches on knowledge sharing have been conducted. However, previous researches have mostly relied on the questionnaire survey which has inherent perceptive errors of respondents. The current research has drawn the relationship among primary participant behaviors towards the participation level in knowledge sharing, basically from online user behaviors on Wikipedia, a representative community for online knowledge collaboration. Without users' participation in knowledge sharing, knowledge collaboration for creating knowledge cannot be successful. By the way, the editing patterns of Wikipedia users are diverse, resulting in different revisiting periods for the same number of edits, and thus varying results of shared knowledge. Therefore, we illuminated the participation level of knowledge sharing from two different angles of number of edits and revisiting period. The behavioral dimensions affecting the level of participation in knowledge sharing includes the article talk for public discussion and user talk for private messaging, and community registration, which are observable on Wiki platform. Public discussion is being progressed on article talk pages arranged for exchanging ideas about each article topic. An article talk page is often divided into several sections which mainly address specific type of issues raised during the article development procedure. From the diverse opinions about the relatively trivial things such as what text, link, or images should be added or removed and how they should be restructured to the profound professional insights are shared, negotiated, and improved over the course of discussion. Wikipedia also provides personal user talk pages as a private messaging tool. On these pages, diverse personal messages such as casual greetings, stories about activities on Wikipedia, and ordinary affairs of life are exchanged. If anyone wants to communicate with another person, he or she visits the person's user talk page and leaves a message. Wikipedia articles are assessed according to seven quality grades, of which the featured article level is the highest. The dataset includes participants' behavioral data related with 2,978 articles, which have reached the featured article level, with editing histories of articles, their article talk histories, and user talk histories extracted from user talk pages for each article. The time period for analysis is from the initiation of articles until their promotion to the featured article level. The number of edits represents the total number of participation in the editing of an article, and the revisiting period is the time difference between the first and last edits. At first, the participation levels of each user category classified according to behavioral dimensions have been analyzed and compared. And then, robust regressions have been conducted on the relationships among independent variables reflecting the degree of behavioral characteristics and the dependent variable representing the participation level. Especially, through adopting a motivational theory adequate for online environment in setting up research hypotheses, this work suggests a theoretical framework for the participation level of online knowledge sharing. Consequently, this work reached the following practical behavioral results besides some theoretical implications. First, both public discussion and private messaging positively affect the participation level in knowledge sharing. Second, public discussion exerts greater influence than private messaging on the participation level. Third, a synergy effect of public discussion and private messaging on the number of edits was found, whereas a pretty weak negative interaction effect of them on the revisiting period was observed. Fourth, community registration has a significant impact on the revisiting period, whereas being insignificant on the number of edits. Fifth, when it comes to the relation generated from private messaging, the frequency or depth of relation is shown to be more critical than the scope of relation for the participation level.