• Title/Summary/Keyword: cognition development

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A Comparative Study on Women's Health of Female Workers on Daywork and Shiftwork (주간근무 및 교대근무 여성근로자의 여성건강 비교연구)

  • Lee, Jin-Sook;Hong, Gyeong-Ju;Kwon, Ryeo-Won
    • Journal of Convergence for Information Technology
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    • v.11 no.3
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    • pp.46-53
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    • 2021
  • This study aimed to compare general and female health-related factor between day-work and shift-work worker. It is based on the data of the Korea National Health&Nutrition Examination Survey(KNHANES) 2nd year on 7th period. The number of participants was 10,430. Out of the participants, 1,995 workers' dara was analyzed. The age, marital status, education level, occupational status and childbirth experience of female workers indicated significant differences between day and shift work. By contrast, health-related quality of life did not represent significant differences these factors; income, subjective health cognition, stress perception, depression experience, menarcheal age, menopausal age and breastfeeding period. The shift work is inevitably implemented as an industrial development and flexible work hours. Therefore, social and national attention and measures as well as those of individual workers are required to reduce the side effects from shiftwork.

Comparative Study of Ginseng Radix, Rehmanniae Radix and Fermented Red-ginseng Extracts Effects on Memory Improvement in Scopolamine-induced Memory Impaired Mice (Scopolamine으로 유도된 인지장애 마우스의 기억력 개선 효과에 대한 인삼, 생지황, 발효홍삼 추출물의 비교 연구)

  • Kim, Ji Hyun;Kim, Jong Uk;Lee, Chang Hyun
    • Journal of Physiology & Pathology in Korean Medicine
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    • v.36 no.1
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    • pp.11-17
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    • 2022
  • In this study, we investigated the effects of Ginseng Radix (G), Rehmanniae Radix (R), and Fermented red-ginseng extracts (FRG) on cognitive function in scopolamine-induced memory-impaired mice. We measured the effects of G, R, and FRG on the improvement of memory and cognition via behavior analysis. In addition, we measured the acetylcholinesterase (AChE) activity in the hippocampus of each group of mice. The expression of β-amyloid, Tau, and BDNF in the brain tissues were observed through immunohistochemical staining. Ginseng Radix (G) and Fermented red-ginseng (FRG) have effectively improved cognitive function in the water maze test. Ginseng Radix (G), Rehmanniae Radix (R), and Fermented red-ginseng (FRG) have improved the willingness of mice to explore the new environment, as confirmed by Y maze test. In addition, immunohistochemical staining revealed that Ginseng Radix (G) decreased the expression of β-amyloid and Tau in the hippocampus. In addition, fermented red-ginseng (FRG) increased the expression of BDNF. Ginseng Radix (G), Rehmanniae Radix (R), and Fermented red-ginseng (FRG) have decreased the concentration of acetylcholinesterase in the hippocampus as compared with the control group of mice. In conclusion, Ginseng Radix (G), Rehmanniae Radix (R), and Fermented red-ginseng (FRG) are considered to have the potential for development as candidate drugs to control the progression of Alzheimer's disease (AD).

Mediating Effect of Cognitive Function on the Relationship Between Geriatric Oral Health and Quality of Life Among Korean Seniors

  • Chang, Eun Jee;Woo, Hyun-Jae;Jeong, Kyu-Hyoung
    • Journal of Preventive Medicine and Public Health
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    • v.55 no.1
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    • pp.106-113
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    • 2022
  • Objectives: Previous studies have found that the oral health of seniors can affect their physical nutrition and quality of life (QoL). Additionally, poor oral health can lead to the development of dementia, which is associated with decreased cognitive function. This study aimed to examine the impact of geriatric oral health (GOH) on the QoL of Korean seniors and the mediating effects of cognitive function. Methods: We used data from the seventh Korean Longitudinal Study of Aging conducted in 2018. In total, 4049 seniors were included in our study. We analyzed the impact of GOH on QoL according to 5 mediating domains of cognitive function and control variables. To examine each path of mediating effects, bootstrapping with 5000 iterations was performed with 95% confidence intervals. Results: Our findings revealed that good GOH had a positive effect on the QoL of seniors. Also, better GOH corresponded to a higher degree of cognitive function within all 5 domains: orientation, memory registration, attention/calculation, memory recall, and language and visuospatial ability. In addition, 3 domains of the 5 domains (attention/calculation, memory recall, and language and visuospatial ability) had significant mediating effects on the relationship between GOH and QoL. Conclusions: This study suggests that adequate management of GOH is crucial for promoting a better QoL and a high degree of cognitive function among seniors. To prevent cognitive impairment, such as dementia, future studies should take a more targeted approach by examining data according to each cognitive domain and various socio-demographic factors.

Influence of Police Authorities and Units on Transport Safety in the European Union Countries

  • Chervinchuk, Andrii;Pylypenko, Yevheniia;Veselov, Mykola;Pylypiv, Ruslan;Merdova, Olga
    • International Journal of Computer Science & Network Security
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    • v.22 no.6
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    • pp.109-114
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    • 2022
  • The article is devoted to analyzing the police influence on road safety formation. The globalization processes confirm the study's relevance, provoking population mobility and the need to increase freight traffic. The study aims to identify the factors that affect road safety and the activities of the police and the EU transport safety units. An empirical analysis using factor analysis, correlation analysis, and general scientific methods of cognition were carried out to achieve the goal. The analysis results found that the number of police officers affects road safety, but not in all countries, which confirms the importance of other factors. Based on the analysis results of the scientific literature, the factors affecting transport safety are legislative regulation, the use of innovative technologies, transport infrastructure, geography, and psycho-physical and emotional drivers factors. It has been proved that the police authorities and units cannot fully ensure transport safety in the European Union because the safety is formed by a complex of actions by the state and road users.

Development on Korean Visualization Literacy Assessment Test(K-VLAT) and Research Trend Analysis (한국형 데이터 시각화 리터러시 평가 개발 및 연구 동향 분석)

  • Kim, Ha-Neul;Kim, Sung-Hee
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.25 no.11
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    • pp.1696-1707
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    • 2021
  • With the recent growth of information technology, various literacy such as digital literacy, data literacy, AI literacy is being studied. In this paper, we focus on data visualization literacy as visualization is an essential part of big data analysis and is used in several mobile apps. Visualization Literacy Assessment Test(VLAT) was developed in 2016 and we introduce how the test was developed and modified to a Korean version, K-VLAT. K-VLAT is consisted of 12 visualizations and 53 questions through a website. Additionally, to understand the research trend in visualization literacy we analyzed 81 papers that had cited the VLAT publication. We categorized the research into 4 categories with 11 sub-categories. The area of studies visualization literacy related to was understanding the relation with cognition, expanding the literacy measures, relation with education, utilization for developing user-centric dashboards or using the test to show effectiveness of visualizations. At last, we discuss about different ways to utilize K-VLAT for future research.

A Specification-Based Methodology for Data Collection in Artificial Intelligence System (명세 기반 인공지능 학습 데이터 수집 방법)

  • Kim, Donggi;Choi, Byunggi;Lee, Jaeho
    • KIPS Transactions on Software and Data Engineering
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    • v.11 no.11
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    • pp.479-488
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    • 2022
  • In recent years, with the rapid development of machine learning technology, research utilizing machine learning has been actively conducted in fields such as cognition, reasoning and judgment, and action among various technologies constituting intelligent systems. In order to utilize this machine learning, it is indispensable to collect data for learning. However, the types of data generated vary according to the environment in which the data is generated, and the types and forms of data required are different depending on the learning model to be used for machine learning. Due to this, there is a problem that the existing data collection method cannot be reused in a new environment, and a specialized data collection module must be developed each time. In this paper, we propose a specification-based methology for data collection in artificial intelligence system to solve the above problems, ensure the reusability of the data collection method according to the data collection environment, and automate the implementation of the data collection function.

A Functional Matrix Approach to Pedagogical Enrichment of the Dispositional Core of Future Specialists' Experience of Social Interaction

  • Kovalenko, E.V.;Gubarenko, I.V.;Kovalenko, V.I.
    • International Journal of Computer Science & Network Security
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    • v.22 no.11
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    • pp.255-259
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    • 2022
  • The new social reality emerging amid the global rise of communication links and integration processes acutely emphasizes the problems of communication in large and small social systems. The method of their communication becomes one of the keys to ensuring global security. It has become the mission of humanitarian education to prepare the younger generations for life in a changing world with no image of the future and increasing uncertainty. In psychological and pedagogical research, there is a growing scientific interest in the problems of interaction of the individual with the social environment. The mental trace of a person's practice in society shapes the experience of social interaction, which constitutes simultaneously the source, tool, and condition for the emergence and development of personality. The study outlines the methodological foundations for the study of individual experiences of social interaction. A hypothesis about the productivity of the functional matrix method is tested. Materials for the training of specialists in the humanities include interdisciplinary approaches to the study and transformation of the experience of social interaction and systematic methodology for the study of complex objects. Fundamental to the study is the systematic-dialectical method, and the matrix method is employed as the instrumental-technological method. The paper presents the results of a multidisciplinary overview of scientific literature concerning the essential characteristics and functions of social interaction and the respective experience. The overview points to the fragmented nature of scientific understanding of the elements of experience outside its integrity and systemic properties. Based on the formula "personality interacts with the social environment", the study presents an algorithm for the application of a systematic methodology for the study of complex objects, which made it possible to identify the system parameters of experience at three levels of cognition and develop the reference structural and functional matrices for the didactic system of its pedagogical enrichment.

Development and Validation of a Machine Learning-based Differential Diagnosis Model for Patients with Mild Cognitive Impairment using Resting-State Quantitative EEG (안정 상태에서의 정량 뇌파를 이용한 기계학습 기반의 경도인지장애 환자의 감별 진단 모델 개발 및 검증)

  • Moon, Kiwook;Lim, Seungeui;Kim, Jinuk;Ha, Sang-Won;Lee, Kiwon
    • Journal of Biomedical Engineering Research
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    • v.43 no.4
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    • pp.185-192
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    • 2022
  • Early detection of mild cognitive impairment can help prevent the progression of dementia. The purpose of this study was to design and validate a machine learning model that automatically differential diagnosed patients with mild cognitive impairment and identified cognitive decline characteristics compared to a control group with normal cognition using resting-state quantitative electroencephalogram (qEEG) with eyes closed. In the first step, a rectified signal was obtained through a preprocessing process that receives a quantitative EEG signal as an input and removes noise through a filter and independent component analysis (ICA). Frequency analysis and non-linear features were extracted from the rectified signal, and the 3067 extracted features were used as input of a linear support vector machine (SVM), a representative algorithm among machine learning algorithms, and classified into mild cognitive impairment patients and normal cognitive adults. As a result of classification analysis of 58 normal cognitive group and 80 patients in mild cognitive impairment, the accuracy of SVM was 86.2%. In patients with mild cognitive impairment, alpha band power was decreased in the frontal lobe, and high beta band power was increased in the frontal lobe compared to the normal cognitive group. Also, the gamma band power of the occipital-parietal lobe was decreased in mild cognitive impairment. These results represented that quantitative EEG can be used as a meaningful biomarker to discriminate cognitive decline.

Research on The Influencing Factors of User Satisfaction Based on Basic Characteristics of Public Art-A Case Study of Airport Public Art (공공예술의 기본 특성에 따른 이용자 만족도 영향요인 연구-공항 공공예술을 중심으로)

  • Zhang, Yun;Zou, ChangYun;Kim, CheeYong
    • Journal of Korea Multimedia Society
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    • v.25 no.8
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    • pp.1167-1174
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    • 2022
  • With the sustainable development and transformation of the city, public art as a business card of the famous city of culture has become a hot topic of research. The intervention of public art in public space not only brings users a sense of space experience, but also becomes a unique carrier of urban and rural image making. Although there is much research on the classification, aesthetics and function of public art, there is few quantitative research on user satisfaction. This paper takes the basic features of airport public art as a research object and the basic features of airport public art as the theoretical basis to study the impact of the basic characteristics of airport public art on user satisfaction. Research methods were based on questionnaire data of 247 people, in which models and hypotheses were tested using SPSS 21.0 software, based on the induction and extraction of nine influential factors in the basic characteristics of public art. The study found that public interpretation, media patterns, color perception, modeling form, place perception, city image and memory have significant positive effects on user satisfaction. The sharedness of public art, cognition and communication in public culture and spatial relations do not affect satisfaction. Conclusion, inspiration and prospect provide suggestions for designers and reference data and theoretical support for public art evaluation.

Visual design teacher competency evaluation model study (시각디자인 교사역량 평가 모델 연구)

  • SUN, PENG
    • Journal of the International Relations & Interdisciplinary Education
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    • v.2 no.1
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    • pp.29-41
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    • 2022
  • In recent years, visual design has become an emerging industry that creates production value in various countries, and visual design teachers have become a key factor affecting the development of designers and even the trend of the design industry. Therefore, the requirements for the ability of visual design teachers have become particularly important. This study takes the visual communication teachers in colleges and universities as the research object. Focus on the composition of competencies that teachers have when performing their duties. First of all, through document sorting, it is based on the five aspects of knowledge ability, teaching ability, practical ability, management ability and professional ethics. A Likert scale questionnaire was developed on the evaluation of visual design teachers' competencies by interviewing 10 visual design industry experts and conducting two Delphi method interviews. This research refers to the relevant literatures such as curriculum research and teaching objective research of design major, and discusses the evaluation standards of visual design teachers' abilities in colleges and universities. Expert interviews have sorted out 12 criteria and 36 sub-criteria about visual design teachers' abilities, and verified their rationality through expert return visits. The establishment of this evaluation standard provides a certain theoretical basis for visual design teachers' ability evaluation and self-cognition.