• Title/Summary/Keyword: Cognitive structure

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Co-occurrence Network Analysis of Keywords in Geriatric Frailty

  • Kim, Youngji;Jang, Soong-nang;Lee, Jung Lim
    • Research in Community and Public Health Nursing
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    • v.29 no.4
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    • pp.429-439
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    • 2018
  • Purpose: The aim of this study is to identify core keyword of frailty research in the past 35 years to understand the structure of knowledge of frailty. Methods: 10,367 frailty articles published between 1981 and April 2016 were retrieved from Web of Science. Keywords from these articles were extracted using Bibexcel and social network analysis was conducted with the occurrence network using NetMiner program. Results: The top five keywords with a high frequency of occurrence include 'disability', 'nursing home', 'sarcopenia', 'exercise', and 'dementia'. Keywords were classified by subheadings of MeSH and the majority of them were included under the healthcare and physical dimensions. The degree centralities of the keywords were arranged in the order of 'long term care' (0.55), 'gait' (0.42), 'physical activity' (0.42), 'quality of life' (0.42), and 'physical performance' (0.38). The betweenness centralities of the keywords were listed in the order of depression' (0.32), 'quality of life' (0.28), 'home care' (0.28), 'geriatric assessment' (0.28), and 'fall' (0.27). The cluster analysis shows that the frailty research field is divided into seven clusters: aging, sarcopenia, inflammation, mortality, frailty index, older people, and physical activity. Conclusion: After reviewing previous research in the 35 years, it has been found that only physical frailty and frailty related to medicine have been emphasized. Further research in psychological, cognitive, social, and environmental frailty is needed to understand frailty in a multifaceted and integrative manner.

A Study on Brain Disease Research Trends and Need to Conduct Mechanism Studies on Temporomandibular Joint Disorder Related Cerebrovascular Diseases (뇌질환 연구 동향 조사 및 턱관절 장애 관련 뇌질환 기전 연구의 필요성)

  • Lee, Se-Eun;Lee, Min Ji;Lee, Byoungho;Lim, Sehyun;Cho, Suin
    • Journal of TMJ Balancing Medicine
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    • v.8 no.1
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    • pp.11-15
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    • 2018
  • Recently, clinical efficacies of the intraoral balancing appliance therapy have been reported by several researchers, and it has been found that there are various kinds of diseases that can be effectively applied. However, studies on cerebrovascular disease, one of the main diseases with a high mortality rate, are still poorly reported, and studies of temporomandibular joint disorder (TMD)-induced changes in brain function suggest that cerebrovascular disease is more appropriate as an adaptive disorder of the temporomandibular joint (TMJ) balancing device. In the developed countries, the importance of research on the structure and function of the brain has been recognized and spurred on the related research. In Korea, the research on brain function and cognitive disorders should have promoted more massively. In order to regain its former reputation in the Korean medicine in the field of cerebrovascular disease, it should be spurred on basic research and clinical case studies. In addition, extensive and in-depth studies including animal studies are needed to establish the basis of underlying mechanisms of the TMJ balancing therapies.

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Emotional User Experience in Web-Based Geographic Information System: An Indonesian UX Analysis

  • Lokman, Anitawati Mohd;Isa, Indra Griha Tofik;Novianti, Leni;Ariyanti, Indri;Sadariawati, Rika;Aziz, Azhar Abd;Ismail Afiza
    • International Journal of Computer Science & Network Security
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    • v.22 no.9
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    • pp.271-279
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    • 2022
  • In the discipline of design science, the integration of cognitive, semantic, and affective elements is crucial in the conception and development of a product. Affective components in IT artefacts have attracted researchers' attention, but little attention has been given to Geographic Information Systems (GIS). This research was conducted to identify emotions in web-based GIS, and determine design influences on the emotions using Kansei engineering (KE). In the evaluation procedure, ten web-based GIS were used as specimens, and 20 Kansei words were used as emotional descriptors in the Kansei checklist. 50 participants were asked to rate their emotional responses towards the specimens on the Kansei checklist. Principal Component Analysis was used to discover the semantic structure of Kansei, in which dynamism and spaciousness were identified. Significant Kansei concepts were identified using Factor Analysis, in which dynamic & well-organized, refreshing, spacious, professional, and nautical-look were identified. Partial Least Square analysis has assisted the research in discovering the significant design influence to the Kansei. These findings provide designers and other stakeholders with valuable knowledge for strategizing future web-based GIS designs that incorporate user emotions.

Phytochemicals That Act on Synaptic Plasticity as Potential Prophylaxis against Stress-Induced Depressive Disorder

  • Soojung, Yoon;Hamid, Iqbal;Sun Mi, Kim;Mirim, Jin
    • Biomolecules & Therapeutics
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    • v.31 no.2
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    • pp.148-160
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    • 2023
  • Depression is a neuropsychiatric disorder associated with persistent stress and disruption of neuronal function. Persistent stress causes neuronal atrophy, including loss of synapses and reduced size of the hippocampus and prefrontal cortex. These alterations are associated with neural dysfunction, including mood disturbances, cognitive impairment, and behavioral changes. Synaptic plasticity is the fundamental function of neural networks in response to various stimuli and acts by reorganizing neuronal structure, function, and connections from the molecular to the behavioral level. In this review, we describe the alterations in synaptic plasticity as underlying pathological mechanisms for depression in animal models and humans. We further elaborate on the significance of phytochemicals as bioactive agents that can positively modulate stress-induced, aberrant synaptic activity. Bioactive agents, including flavonoids, terpenes, saponins, and lignans, have been reported to upregulate brain-derived neurotrophic factor expression and release, suppress neuronal loss, and activate the relevant signaling pathways, including TrkB, ERK, Akt, and mTOR pathways, resulting in increased spine maturation and synaptic numbers in the neuronal cells and in the brains of stressed animals. In clinical trials, phytochemical usage is regarded as safe and well-tolerated for suppressing stress-related parameters in patients with depression. Thus, intake of phytochemicals with safe and active effects on synaptic plasticity may be a strategy for preventing neuronal damage and alleviating depression in a stressful life.

A Direct Utility Model with Dynamic Constraint

  • Kim, Byungyeon;Satomura, Takuya;Kim, Jaehwan
    • Asia Marketing Journal
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    • v.18 no.4
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    • pp.125-138
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    • 2017
  • The goal of the study is to understand how consumers' constraint as opposed to utility structure gives rise to final decision when consumers purchase more than one variant of product at a time, i.e., horizontal variety seeking or multiple-discreteness. Purchase and consumption decision not only produces utility but also involves some sort of cognitive pressure. Past consumption or last purchase is likely to be linked to this burden we face such as concern for obesity, risk of harm, and guilt for mischief. In this research, the existence and the role of dynamic constraint are investigated through a microeconomic utility model with multiple dynamic constraint. The model is applied to the salty snacks data collected from field study where burden for spiciness serves as a constraint. The results are compared to the conventional multiple discreteness choice models of static constraints, and policy implications on price discounts is explored. The major findings are that first, one would underestimate the level of consumer preference for product offerings when ignoring the carry-over of the concern from the past consumption, and second, the impact of price promotion on demand would be properly evaluated when the model allows for the role of constraint as both multiple and dynamic. The current study is different from the existing studies in two ways. First, it captures the effect of 'mental constraint' on demand in formal economic model. Second, unlike the state dependence well documented in the literature, the study proposes the notion of state dependence in different way, via constraint rather than utility.

A Program Development and Application on Educating Sport Ethics (스포츠윤리교육 프로그램 개발 및 적용)

  • Park, Sung-Joo
    • 한국체육학회지인문사회과학편
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    • v.55 no.1
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    • pp.37-47
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    • 2016
  • This study aims to develop an educational program of sport ethics which would enhance moral autonomy on the part of athletes. First, based on James Rest's Four Component Model of moral behavior, this study has analyzed prior studies and built educational contents. Then, it used dilemma discussions among peers for disequilibrium of cognitive structure. Last, this program has been tested and proven by college students who were thoroughly interviewed afterwards. After joining the program, the student-athletes showed a positive change of thought and action in relation to sport ethics. I hope that this study will contribute to enlarging the field of sport ethics education.

Review of complex network analysis for MEG (MEG 복잡계 네트워크 분석에 대한 통계적 고찰)

  • Sunhan Shin;Jaehee Kim
    • The Korean Journal of Applied Statistics
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    • v.36 no.5
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    • pp.361-380
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    • 2023
  • Magnetoencephalography (MEG) is a technique to record oscillatory magnetic fields coming from ongoing neuronal activity. Functional brain activities performing cognitive or physiological tasks are performed on structural connections between neurons or brain regions. MEG data can be characterized as highly correlated, spatio-temporal, multidimensional, multilayered dynamic networks. Due to its complex structure, many studies on MEG network have not yet been conducted. In this study, we will explain the concept, necessity, and possible approaches of MEG network analysis. We reviewed the characteristics of MEG data. Network measures and potential network models in MEG and clinical studies are also reviewed.

A Study on the Persuasive Effect of Mobile Application: focusing on public interest content (모바일 어플리케이션의 설득효과 연구: 공익 콘텐츠를 중심으로)

  • Minjung Kim
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.24 no.1
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    • pp.43-48
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    • 2024
  • This study sought to examine the effectiveness of mobile applications, which have recently increased persuasion effects by stimulating consumer experiences. In particular, to determine how content for public interest affects users' attitudes and beliefs, we selected interactivity and public interest as characteristics of mobile applications and examined their relationship. One of the actual applications was selected for research and the reactions of subjects who experienced it were investigated. As a result, the interactivity and public interest of mobile applications were found to have a direct and indirect influence on content attitude and beliefs, and it was confirmed that content attitude can affect beliefs. These research results show that cognitive structure can be influenced by reinforcing the audience's attitude toward content.

Investigating the Cognitive Process of a Student's Modeling on a Modeling-Emphasized Argument-Based General Chemistry Experiment (모델링을 강조한 논의 기반 일반화학실험에서 학생들의 모델링에 대한 인지과정 탐색)

  • Lee, Dongwon;Cho, Hey Sook;Nam, Jeonghee
    • Journal of The Korean Association For Science Education
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    • v.35 no.2
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    • pp.313-323
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    • 2015
  • The purpose of this study is to investigate the cognitive process of student's modeling on a modeling-emphasized argument-based general chemistry experiment. The participants were twenty-one freshman students. Six topics were carried out during the first semester and semi-structured interview was implemented at the end of the semester. Semi-structured interview questions were used to elicit elements of effective model, modeling strategies, difficulties that students have experienced during modeling, and resolving the difficulties that students have experienced during modeling. All student interview data were collected and transcribed. The results of this study are summarized as follows: (1) Elements of effective model were considered to be visual expression, persuasive explanation, and rhetorical structure. (2) Modeling strategies included arranging important keywords or writing the outline, and during the modeling process, students used various data, suggested data after reconstructing, suggested definitions and explanations of core concepts, used meta-cognition, and considering rhetorical structure. (3) Difficulties students have experienced during modeling could be categorized as lack of modeling strategy and understanding. (4) Resolving difficulties students have experienced during modeling could be categorized as modeling strategy and understanding. Students learn the strategy by feedback, modeling experience, evaluation of experimental report, models which they constructed previously and references, and the understanding of contents were achieved through arguments which occurred during classes and during the process of writing the experimental reports. These results suggest that when using modeling in teaching and learning, the argument-based learning strategy can be effective in enhancing students' modeling by helping them to understand meta-modeling with scientific concepts.

From Trauma To growth: Posttraumatic Growth Clock (외상 후 병리에서 성장으로: 외상 후 성장 시계)

  • Lee, Hong-Seock
    • Korean Journal of Cognitive Science
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    • v.27 no.4
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    • pp.501-539
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    • 2016
  • The human mind is a self-evolving system that develops along a multidimensional hierarchical pathway in response to traumatic stimulus. In absence of trauma, a mind integrated in conflict-free state is called monistic. When the monistic mind responses to a traumatic stimulus, a response polarity forms toward stimulus polarity within the mind, turning it into a bipartite structure. Dialectical interaction between the two opposites, originating from their incompatibility, creates a new third polarity in the upper dimension. Thereby, the mind turns into a trinity structure. When the interaction among the three polarities becomes optimized, the plasticity of the mind gets maximized into the "far-from-equilibrium state," and the function of three polarities is synchronized. Through this recalibration, the mind returns back to its monistic structure. If the mind with the recurred monistic structure responds to another traumatic stimulus, this cycle of hierarchical transformation repeats itself in this cyclical and fractal growth process through synchronization of basic trinity system. Applying this concept to the process of post-traumatic growth (PTG), this paper explores how the mind transforms traumatic experiences into PTG and proposes a 'PTG Clock' that shows a fundamental sequence in the development of the human mind. The PTG Clock consists of seven hierarchical phases, and each of the first six phases has two opposite sub-phases: shocked/numbed, feared/intrusive, paranoid/avoidant, obsessional/explosive, dependent/depressive, and meaningless/searching for meaning. The seventh, the synchronization phase, completes one cycle of the mind's transformation, realizing a grand trinity system, where the mind synchronizes its biological, social, and existential dimensions. At that point, the mind becomes more susceptible to not only the stimulus of its own traumatic experience but also the pain of others. Thereby, the PTG Clock sets out on a journey to another cycle of transformation in higher dimensions. The validity of this transformational process for the PTG Clock will be examined by comparing it to Horowitz's theory of stress response syndrome.