• Korean Journal of Psychosomatic Medicine
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• v.28 no.2
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• pp.99-107
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• 2020

Fibromyalgia is a disorder characterized by the core symptom of chronic widespread pain, along with fatigue, sleep disturbances, mood changes, and cognitive difficulties. The etiology of fibromyalgia involves a combination of biological factors, such as genetic vulnerability, alterations in pain processing and stress response system ; psychological factors, such as anxiety, depression, anger, and perceived stress ; environmental factors, such as infections, febrile diseases, and trauma. Central sensitization, which is amplified in the process of sensory stimulation, has been emphasized as a key etiological factor, as supported by enhanced wind-up, delayed aftersensation, decreased nociceptive flexion reflex threshold and functional imaging studies. Several guidelines recommend that a multimodal approach be used to treat fibromyalgia, including both pharmacological and non-pharmacological treatments, tailored to each individual, and that clinicians should provide an intellectual framework through sufficient education and emphasis on the importance of self-management. The prevalence of mood disorders, anxiety disorders, and other psychiatric problems is 7-9 times higher in patients with fibromyalgia than in the general population ; moreover, the association between fibromyalgia and certain psychopathologies or sleep problems has also been suggested. Since psychiatric problems, with shared vulnerabilities and risk factors, interact with fibromyalgia bidirectionally and also affect the disease course, an integrated management approach is needed to determine the risk of comorbidities.

• Journal of The Korean Association For Science Education
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• v.42 no.1
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• pp.33-49
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• 2022

This study aims to explore, using both quantitative and qualitative data analyzing the structural relationship between creative process and product, the types of elementary students' scientific creativity. For this, 105 fifth-graders responded to a scientific creativity test that assesses creative process and product, and four students who scored the highest were interviewed. In the interview, they were asked about the cognitive process they used in generating the creative product. Then, correlation analysis and structural equation modeling were used, along with the interview data, to type the students. The main findings of the study are as follows. First, the structural equation modeling of creative process and product gave satisfactory results in absolute and incremental fit indexes. Second, among the three components of creative process - knowledge, inquiry skill-observation, and creative thinking skills -, only creative thinking skills had significant effects on creative product. Third, divergent thinking skills had the strongest correlation with the creative product, followed by convergent thinking skills. Associational thinking skills did not have significant correlation. Fourth, elementary students' scientific creativity could be categorized into Creative Type, Useful Type, Original Type, and Non-creative Type, based on their creative product. The Non-creative Type could be further classified into Common Type, Repetitive Type, Non-response Type, Irrelevant Type, and Abstract Type. Fifth, most students used either knowledge or observation in their creative process, making them either Knowledge-oriented Type or Observation-oriented Type. In addition, there were DT Type, DT-CT Type, and DT-CT-AT Type among the students, based on the kinds of creative thinking skills they mainly used in the process. This study provides implications for educators and researchers in scientific creativity education.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.21 no.6
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• pp.87-96
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• 2022

The traffic vulnerable, including elderly pedestrians, have a relatively low walking speed and slow cognitive response time due to reduced physical ability. Although a smart crossing system has been developed and operated to improve problem, it is difficult to operate a signal that reflects the appropriate walking speed for each pedestrian. In this study, a neural network model and a multiple regression model-based traversing speed estimation model were developed using image information collected in an area with a high percentage of traffic vulnerability. to support the provision of optimal walking signals according to real-time traffic weakness. actual traffic data collected from the urban traffic network of Paju-si, Gyeonggi-do were used. The performance of the model was evaluated through seven selected indicators, including correlation coefficient and mean absolute error. The multiple linear regression model had a correlation coefficient of 0.652 and 0.182; the neural network model had a correlation coefficient of 0.823 and 0.105. The neural network model showed higher predictive power.

• Journal of Korea Entertainment Industry Association
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• v.13 no.2
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• pp.79-91
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• 2019

In the entertainment industry, risk management is crucial for securing competitiveness due to the risk of investment. The competitiveness of contents is reinforced when external factors such as industrial environment and internal factors centering on involving mechanism are simultaneously provided. The involving mechanism is a form of cognitive response behavior of the audience and occurs through signal processing of the brain when watching the image contents. The signal processing of the brain related to the contents watching is mainly performed in the working memory area, and in the case of the captivating movie, the information other than the contents transmitted to the audience is blocked to generate a temporary dissociation state. A dissociation state similar to a symptom such as hypnosis or amnesia occurs when the audience's level of involving is high. On the other hand, contents information in which the audience is concentrating his attention is used intensively for constructing future thinking through an episodic buffer while the inflow of external information is relatively blocked or delayed. The spectator's future thinking configuration takes the form of a hypothesis-forming activity and is based on the predictability of the brain. When these hypothesized behaviors correspond to the problem solving simulation of story and predictability which is an evolutionary function of the brain, the audience' s brain is involved in the contents at a high level. In order for the act to be effective, the factors such as the background of the hypothesis, the subject of the hypothesis, the internal information of the person, the type and position and quantity of the hypothesis information, and the hypothesis relevance and type of information are important. Based on these factors, analysis of the Kim Eun Sook Drama 'Goblin' shows that the above elements are operated in a very organic and meaningful way.

• The Journal of the Convergence on Culture Technology
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• v.9 no.4
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• pp.67-75
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• 2023

The object of this study was to analyze factors influencing adult dementia knowledge, fear of dementia, and intention of dementia prevention behavior on the demand for dementia prevention education. The subjects of the study were 265 adults aged 19 to 64 living in Chungnam and Chungbuk, who understood the purpose of the study and agreed to participate in the study. The collected research data were analyzed using frequency, percentage, mean, standard deviation, t-test, ANOVA, and multiple regression analysis. As a result of the study, adult dementia knowledge (p=.055) and dementia fear (p=.302) were found that they did not significantly affect the demand for dementia prevention education, and the intention of dementia prevention behavior (β=.329, p<.001) was found to have a significant effect on the demand for dementia prevention education. Based on these research results, understanding of dementia and dementia management projects, early screening for dementia and health guidelines for dementia prevention, chronic disease management for dementia prevention, exercise for dementia prevention, healthy eating for dementia prevention, and cognitive enhancement for dementia prevention In addition to the national dementia prevention publicity and national response efforts such as programs, it is necessary to actively participate in the dementia prevention program centered on the community to practice the correct dementia prevention behavior and provide sufficient opportunities to prevent it.

• Korean Journal of Health Psychology
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• v.16 no.3
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• pp.557-575
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• 2011

This study tried to examine the characteristics of attention deficits in patients with Obstructive Sleep Apenea(OSA) with different age levels, and to examine which indices of polysomnograms might be related to the indices of attention deficits in OSAs. Two age-level groups and a normal control group were subjected to two computerized attention tests, including a continuous performance test(CPT) and a change blindness task(CBT). In addition, the three groups were subjected to a Polysomnography to extract several sub-indicators of polysomnogram, and an Epworth Sleepiness Scale which measures subjective sleepiness. As results, the OSAs showed significantly more omission and commission errors in CPT, and they showed lower accuracy in CBT compared to the normal group. The results of a correlational analysis showed that attention deficits in OSA are significantly correlated with arterial oxygen saturation among sub-indicators of polysomnograms. In conclusion, OSAs seems to be less attentive, having difficulties in response inhibition, and having deficiencies in noticing important environmental changes. Age seems to make these deficiencies even worse. Especially, the relationship between attention deficiency and hypoxia which could cause irreversible cerebrum damage has an implication in cognitive impairment prevention through early treatment.

• Journal of The Korean Association For Science Education
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• v.26 no.2
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• pp.200-211
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• 2006

The purpose of this study was to analyze Korean middle school student achievement in environmental science based on the TIMSS 2003 (Trends in International Mathematics and Science Study), a student comparison of 46 participating nations. Korea ranked the fourth with a mean score of 554 in environmental science. However, all 3 environment science topics assessed in TIMSS are not included in the Korean science curriculum through 8th grade, even though they are included in most other participating nations' curricula. The average percent correct of items was analyzed according to the main topic, the item type and the cognitive domain. Items that showed differences between the average percent correct of Korea and the international average as well as differences between the average percent correct of boys and girls were further analyzed. Results revealed that Korean students performed better than the international average, especially in 'use and conservation of natural resources', multiple-choice items, and items requiring 'factual knowledge'. Also, male students demonstrated significantly higher achievement than female students. On the other hand, Korean students showed relatively lower achievement in constructed-response items, items that contained content they had not learned in science lessons and items requiring descriptions of the uses and effect of science and technology. Moreover, Korean student lacked understanding about acid rain, global warming, and ozone layer destruction. Korean female students showed relatively lower environmental conceptions and lower performance on items requiring data analysis than Korean male students. On the basis of these results, this study suggested that topics of environmental science be included in the science curriculum and taught in the science classroom to help middle school students more fully comprehend environmental issues.

• KIPS Transactions on Software and Data Engineering
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• v.13 no.1
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• pp.28-34
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• 2024

Since e-learning is conducted based on the learner's autonomy, motivation to continuously participate is crucial for success in e-learning. As the number of adult learners participating in lifelong education increases, it is necessary to study learner participation and the motivating factors. Drawing upon the Expectancy-Value Theory and Self-Regulated Learning Theory, this study analyzed the influence of motivational factors (value, costs, cognitive regulation, and scheduling) on learner participation. An e-learning program was implemented on MoodleCloud, and learners completed a survey before going through the program. Regression analysis was conducted using the survey response data along with the participation score, calculated using the log data. The results of the analysis demonstrated that value and scheduling significantly influenced learner participation, with gender differences found in value. This means that as adult learners perceive higher value in the e-learning program and possess better scheduling skills, they are more likely to participate. These findings can be utilized in developing teaching and learning strategies for both learners and instructors, ultimately helping to prevent dropout in e-learning.

• Journal of Internet Computing and Services
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• v.25 no.2
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• pp.57-67
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• 2024

This paper explores the potential of electromyography (EMG) as a means of gesture recognition for user input in gesture-based interaction. EMG utilizes small electrodes within muscles to detect and interpret user movements, presenting a viable input method. To classify user gestures based on EMG data, machine learning techniques are employed, necessitating the preprocessing of raw EMG data to extract relevant features. EMG characteristics can be expressed through formulas such as Integrated EMG (IEMG), Mean Absolute Value (MAV), Simple Square Integral (SSI), Variance (VAR), and Root Mean Square (RMS). Additionally, determining the suitable time for gesture classification is crucial, considering the perceptual, cognitive, and response times required for user input. To address this, segment sizes ranging from a minimum of 100ms to a maximum of 1,000ms are varied, and feature extraction is performed to identify the optimal segment size for gesture classification. Notably, data learning employs overlapped segmentation to reduce the interval between data points, thereby increasing the quantity of training data. Using this approach, the paper employs four machine learning models (KNN, SVC, RF, XGBoost) to train and evaluate the system, achieving accuracy rates exceeding 96% for all models in real-time gesture input scenarios with a maximum segment size of 200ms.

• Korean Journal of Psychosomatic Medicine
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• v.32 no.1
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• pp.1-9
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• 2024

Frailty is a clinical syndrome as an increased vulnerability to stressors, leading to a decrease in physiologic reserves and a decline in the ability to maintain a good homeostasis. This condition leads to an increased risk of hospitalization, disability and mortality. Frailty occurs due to various causes and requires a multidimensional approach. It is also important to detect and manage it early. Frailty is also deeply related to neuropsychiatric problems such as pain and depression. In evaluating frailty, it is desirable to comprehensively consider not only physical areas such as disease, nutrition, movement, and sensory functions, but also psychosocial areas, and representative scales include Fried's physical frailty phenotype and Rockwood's frailty index. Physical activity and appropriate protein intake are important for frailty management, and inappropriate drug use should be reduced and oral care, cognitive function, and falls should also be noted. Frailty and pain can affect each other, and pain can promote frailty. Evidence has been published that hormone and protein abnormalities, immune system activity and inflammatory response, and epigenetic mechanisms work in common in the field of frailty and pain. More extensive and high-quality research should be conducted in the future, and the quality of life will be improved if the results are applied to the suppression and treatment of old age and pain.