• Korean Journal of Adult Nursing
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• v.29 no.3
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• pp.266-277
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• 2017

Purpose: The purpose of this study was to design a mobile-application of a cognitive training program for people who have chemo-related cognitive complaints. Methods: The program was developed based on the network-based instructional system design proposed by Jung. The program consisted of several tasks centered on four cognitive domains: learning, memory, working memory, and attention. For memory learning, a target-image and all its elements (color, position, and number) were presented on the screen that had to be recognized among a number of distractor-figures. In working memory training, the previous learned target-figure according to the level of difficulty had to be remembered among many different figures. In attention training named "Find the same figure," two identical symbols in a grid-pattern filled with different images were presented on the screen, and these had to be simultaneously touched. In attention training named "Find the different figure," a different symbol in a grid pattern filled with same figures had to be selected. This program was developed to train for a minimum of 20 min/day, four days/week for six weeks. Results: This cognitive training revealed statistically significant improvement in subjective cognitive impairments (t=3.88, p=.006) at six weeks in eight cancer survivors. Conclusion: This cognitive training program is expected to offer individualized training opportunities for improving cognitive function and further research is needed to test the effect in various settings.

• Research in Community and Public Health Nursing
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• v.30 no.2
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• pp.119-129
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• 2019

Purpose: The purpose of this study is to develop and evaluate the effects of a multifaceted cognitive training program on cognitive function, depression, and instrumental activities of daily living (IADL) in community dwelling elders with mild cognitive impairment. Methods: A non-equivalent control group pretest-posttest design was used. The subjects were recruited from a community health center in D metropolitan city and were assigned to the experimental or control group. Weekly 50-minute session intervention was delivered to the experimental group over 12 weeks. 8 weeks and 12weeks after intervention, the changes in cognitive function, depression, and IADL in the groups were measured and compared. Data were analyzed with Mann-Whitney U test, Wilcoxon Signed Rank test, and post-hoc test with Bonferroni correction using SPSS/WIN 23.0. Results: When compared with their counterparts (n=15), the elders in the experimental group (n=12) showed significant improvement in cognitive function and depression at week 12. The mean scores of IADL at week 12 were not significantly different between the groups. Conclusion: The results indicate that this multifaceted cognitive training program is effective in improving cognitive function, depression, and avoiding deterioration of IADL among elders with mild cognitive impairment.

• The Journal of the Korea institute of electronic communication sciences
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• v.16 no.6
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• pp.1249-1254
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• 2021

Computing technology and networking technology in the era of the 4th industrial revolution are rapidly evolving into an intelligent information society. AR, VR, and MR technologies, which are dual immersive media fields, are being applied in many convergence technologies, especially! The development of the health and healthcare field is actively progressing. In the field of health and healthcare, there are many problems due to aging of the population, increase in chronic progress, lack of infrastructure, and lack of professional manpower. services in the field are adopted. Therefore, this study applies cognitive evaluation through a computing system to the mild cognitive impairment, designs and develops a cognitive judgment platform using augmented reality based on the cognitive judgment technology system design, and integrates AI and BigData-based intelligent cognitive rehabilitation in the future. It is used as basic data for service platform development.

• Korean Journal of Childcare and Education
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• v.11 no.2
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• pp.87-108
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• 2015

The purpose of this study was to investigate the difference in Korean 4-year-olds' cognitive development depending on variables concerning ecological system variables, predictive influences among these variables, and different predictive patterns between working mothers and non-working mothers. The subjects consisted of 998 4-year-olds, derived from the Korean Child Panel data of 2012. The results were as follows: First, 4-year-olds' cognitive development was different depending on their sex, education level of mother and father, mothers' working status, quality of home environment, and mothers' involvement in children's life in their institution. Second, mothers' involvement in children's life in their institution, children's sex, quality of home environment, and mothers' working status predicted 4-year-olds' cognitive development. Third, there was a different pattern of predictive influence among variables according to the mothers' working status. The mothers' involvement in their children's lives in their institution and children's sex was proved to be important in both, but that was more significant in working mothers, and the quality of home environment predicted cognitive development only in working mothers. These results were discussed in terms of necessity of the Korean national policy to support young children's cognitive development efficiently, especially for working mothers.

• Journal of The Korean Association For Science Education
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• v.27 no.6
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• pp.497-509
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• 2007

Among many remedial approaches against the increasing unfavorableness toward school science, one of the prevalent findings studied by affective experts is that students' achievement in science and their attitude toward it has a relatively weak relationship. In contrast, cognitive experts assert that the conceptual change involves more than cognitive aspects, and may be influenced by affective factors such as beliefs, motivation, learning attitudes, and sociocultural contexts. The latter regards continuous conceptual change as leading to better student understanding of science with variables of students' attitude toward science. As an initial step toward illuminating the affective-cognitive learning aspects of science, the purpose of this study is to develop an instrument for analyzing the relationship between students' conceptual understanding and affective factors. Cognitive questionnaires from the database of distribution in students' misconceptions of physics (DMP project), and affective questionnaires from the Relevance of Science Education (ROSE project) are integrated into our instrument. The respondents are high school students in Okayama prefecture, Japan. Through the pilot test, the authors integrated attitude toward science (AS) and interest inventory (II) from ROSE into cognitive understanding (CD) from DMP. Statistical methodologies such as factor analysis and item total correlation theoretically discerned the effective sixty-three items from the two original item pools. Having discussed two validity issues, the authors suggest ongoing research associated with our affective-cognitive research perspective.

• Dementia and Neurocognitive Disorders
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• v.22 no.1
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• pp.1-15
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• 2023

The Seoul Neuropsychological Screening Battery (SNSB) is known as a representative comprehensive neuropsychological evaluation tool in Korea since its first standardization in 2003. It was the main neuropsychological evaluation tool in the Clinical Research Center for Dementia of South Korea, a large-scale multi-center cohort study in Korea that was started in 2005. Since then, it has been widely used by dementia clinicians, and further solidified its status as a representative dementia evaluation tool in Korea. Many research results related to the SNSB have been used as a basis for the diagnosis and evaluation of patients in various clinical settings, especially, in many areas of cognitive assessment, including dementia evaluation. The SNSB version that was updated in 2012 provides psychometrically improved norms and indicators through a model-based standardization procedure based on a theoretical probability distribution in the norm's development. By providing a score for each cognitive domain, it is easier to compare cognitive abilities between domains and to identify changes in cognitive domain functions over time. Through the development of the SNSB-Core, a short form composed of core tests, which also give a composite score was provided. The SNSB is a useful test battery that provides key information on the evaluation of early cognitive decline, analysis of cognitive decline patterns, judging the severity of dementia, and differential diagnosis of dementia. This review will provide a broad understanding of the SNSB by describing the test composition, contents of individual subtests, characteristics of standardization, analysis of the changed standard score, and related studies.

• International Journal of Computer Science & Network Security
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• v.23 no.12
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• pp.13-26
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• 2023

Recently, the development of wireless network technologies has been advancing in several directions: increasing data transmission speed, enhancing user mobility, expanding the range of services offered, improving the utilization of the radio frequency spectrum, and enhancing the intelligence of network and subscriber equipment. In this research, a series of contradictions has emerged in the field of wireless network technologies, with the most acute being the contradiction between the growing demand for wireless communication services (on operational frequencies) and natural limitations of frequency resources, in addition to the contradiction between the expansions of the spectrum of services offered by wireless networks, increased quality requirements, and the use of traditional (outdated) management technologies. One effective method for resolving these contradictions is the application of artificial intelligence elements in wireless telecommunication systems. Thus, the development of technologies for building intelligent (cognitive) radio and cognitive wireless networks is a technological imperative of our time. The functions of artificial intelligence in prospective wireless systems and networks can be implemented in various ways. One of the modern approaches to implementing artificial intelligence functions in cognitive wireless network systems is the application of fuzzy logic and fuzzy processors. In this regard, the work focused on exploring the application of fuzzy logic in prospective cognitive wireless systems is considered relevant.

• Nutrition Research and Practice
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• v.6 no.5
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• pp.451-457
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• 2012

The purposes of the study were to analyze nutritional status, psychosocial stimulation, and factors affecting the cognitive development of preschool-age children. This study was conducted in the Village of Babakan, Sub-District of Dramaga, Bogor Regency, West Java. This cross-sectionally designed study was conducted with mothers who had preschool children aged 3-5 years as respondents. Fifty-eight children were included. The distribution of mother's educational level was quite diverse, and the largest percentage (44.8%) had senior high school education. Approximately 78% of the family income per capita was classified into the non-poor category and 22.4% into the poor category. The average mother's nutritional knowledge score was $76.7{\pm}2.5$ (moderate category). Most of the preschool children (84.4%) had psychosocial stimulation scores in the moderate category (30-45). The nutritional status of children showed that 15.5% were underweight, 5.2% were wasted, 3.4% were severely wasted, and 19% of the children were in the short and very short categories (stunted). The stepwise regression results showed that psychosocial stimulation (P < 0.001), participation in early childhood education (P = 0.002) and nutritional status based on the height index for age (P = 0.028) had a positive and significant effect on cognitive development of the preschool children (adjusted $R^2$, 0.434; P = 0.028).

• Human Ecology Research
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• v.60 no.1
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• pp.99-113
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• 2022

This study examined the effect of maternal cognitive empathy on children's executive function focusing on mediating effects of preschooler's caring behavior and happiness. The subject of this study was 460 five-year-old preschooler-their mother dyads in Korea. Data were collected by Korean Version of Questionnaire of Cognitive and Affective Empathy(K-QCAE), Caring Behaviors Scale for Young Children, Happiness Scale for Young Children and Behavior Rating Inventory of Executive Function-Preschool Version(BRIEF-P). Data were analyzed using descriptive statistics, independent samples t-test, Pearson correlation analysis, structural equation model and bootstrapping test with SPSS 25.0 and AMOS 23.0 program. The major results were as follows. 1) Maternal cognitive empathy had a positive influence on preschooler's caring behavior. 2) Preschooler's caring behavior had a positive influence on happiness and executive function. 3) Preschooler's happiness had a positive influence on executive function. 4) The effect of maternal cognitive empathy on preschooler's executive function was mediated by preschooler's caring behavior. 5) The effect of maternal cognitive empathy on preschooler's executive function was sequentially mediated by preschooler's caring behavior and happiness. This study revealed that maternal cognitive empathy, preschooler's caring behavior, and happiness have an important role in preschooler's executive function. Most of all, we suggest that maternal cognitive empathy should be improved to promote preschooler's executive function. The findings of this study will contribute to designing intervention programs to improve preschooler's executive function as well as maternal empathy.

• Journal of the Korean Society of Safety
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• v.13 no.4
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• pp.230-239
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• 1998

Though limited, Model Human Processor (MHP) has been used to explain the complex users' behaviors during human-computer interactions in a simplified manner. MHP consists of perceptual, cognitive and motor systems, each with processors and memories interacting with each other in serial or parallel mode. The important parameters of memory include the storage capacity, the decay time, and the code type of a memorized item. The important parameter of a processor is the cycle time. Using these features of the model, this study developed a computerized cognitive process simulator to predict the cognitive process time of a class match task process. An experimental validity test result showed that the mean prediction time for cognitive process of the class match task simulated 50 times by the simulator was consistent with the mean cognitive process time of the same task performed by 37 subjects. Animation of the data flow during the class match task simulation will help understand the invisible human cognitive process.