• Clinical and Experimental Pediatrics
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• v.65 no.3
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• pp.142-149
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• 2022

Background: Individuals with Down syndrome present with several impairments such as hypotonia, ligament laxity, decreased muscle strength, insufficient muscular cocontraction, inadequate postural control, and disturbed proprioception. These factors are responsible for the developmental challenges faced by children with Down syndrome. These individuals also present with balance dysfunctions. Purpose: This systematic review aims to describe the motor dysfunction and balance impairments in children and adolescents with Down syndrome. Methods: We searched the Scopus, ScienceDirect, MEDLINE, Wiley, and EBSCO databases for observational studies evaluating the motor abilities and balance performance in individuals with Down syndrome. The review was registered on PROSPERO. Results: A total of 1,096 articles were retrieved; after careful screening and scrutinizing against the inclusion and exclusion criteria, 10 articles were included in the review. Overall, the children and adolescents with Down syndrome showed delays and dysfunction in performing various activities such as sitting, pulling to stand, standing, and walking. They also presented with compensatory mechanisms to maintain their equilibrium in static and dynamic activities. Conclusion: The motor development of children with Down syndrome is significantly delayed due to structural differences in the brain. These individuals have inefficient compensatory strategies like increasing step width, increasing frequency of mediolateral center of pressure displacement, decreasing anteroposterior displacement, increasing trunk stiffness, and increasing posterior trunk displacement to maintain equilibrium. Down syndrome presents with interindividual variations; therefore, a thorough evaluation is required before a structured intervention is developed to improve motor and balance dysfunction.

• 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.

• Journal of Aerospace System Engineering
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• v.16 no.5
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• pp.86-93
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• 2022

Generally, a deployable solar panel is used primarily to achieve sufficient power output to perform the mission. However, temperature distribution on the antenna reflector may increase due to the shading effect induced by the presence of the deployable solar panels. Appropriate thermal design is critical to minimize the thermal deformation of the mesh antenna reflector in harsh on-orbit thermal environments to ensure remote frequency (RF) performance. In this paper, we proposed a dual-surface primary reflector consisting of a mesh antenna and a flexible fabric membrane sheet. This design strategy can contribute to thermal stabilization by using a flexible solar panel on the rear side of membrane sheet to reduce the temperature distribution caused by the deployable solar panel. The effectiveness of the mesh antenna design strategy investigates through on-orbit thermal analysis.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.29 no.2D
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• pp.183-190
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• 2009

In order to improve continuous success and stabilization of high-speed rail in the future, Using Frequency of high-speed rail should be enhanced by improving satisfaction of high-speed rail passenger. High-speed rail is needed to hold the priority in competition means by comparing the traits of service of domestic air lines. This study utilizes structural equation modeling to develop model for estimating factors influencing to service through conducting survey questionnaire. It also uses reliability analysis, correlation analysis, factor analysis to examine the rationalization of items and to establish hypothesis of this research. The results show that KTX contains 'inner service' item that is considered to be ameliorated and that domestic airline present low performance of 'outer service' item. In other words, moving section which partly is under a limited condition is needed to be improved. In addition, access to airport and transfer to other transportations have to be improved as they show the lowest satisfaction.

• The Korean Journal of Franchise Management
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• v.9 no.1
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• pp.17-25
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• 2018

Purpose - This study was to investigate the effect of advertising attributes on advertising attitude, brand equity, and advertising effect of TV commercials of chicken franchise brand, which is one of the most popular food service brand in recent years. Research design, data, and methodology - This study aims to see the effect of advertising attributes on advertising effectiveness and the mediating effects of advertising attitude and brand equity. A total of 200 questionaire was collected, 15 respondents were discarded due to missing information. Therefore, a total of 185 respondents were used for this study. The data were analyzed using frequency analysis, confirmatory factor analysis, correlation analysis, three-step mediation regression analysis, and path analysis with SPSS 24.0 and AMOS 24.0 statistical program. Result - The results of the study are as follows. First, the effect of brand attitude on brand attitude and brand equity, brand equity and advertising effect on brand attitude, and brand equity on advertising effect were statistically significant. As a result of the mediating effect test, it was confirmed that the attitude of the ad and the brand equity mediates partly between the ad property and the advertisement effect. Conclusions - As a result of the study, it is suggested that the informativeness and notableness affect the consumers among the advertisement attributes, so that it is necessary to be able to convey the accurate information more clearly to the consumers when composing the contents of the advertisement. In other words, in the case of the advertisement of the chicken franchise brand corporation, it will be an effective advertisement campaign if it continuously transmits the correct advertisement message to the consumers in association with the brand.

• Journal of Industrial Convergence
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• v.22 no.4
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• pp.65-73
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• 2024

The purpose of this study was to identify the effect of job resources of hospital workers on presenteeism and to verify the mediating effect of job embeddedness based on this. Participants included 301 hospital workers form hospitals located in B city. Date was collected form July 10 to August 10, 2023. The collected data were analyzed by frequency analysis, descriptive statistics, Pearson's correlation coefficient, Baron and Kenny's three-step hierarchical regression and Sovel's test method using the SPSS 26.0 program. In this study, it was found that there was a correlation between job resources, job embeddedness and presenteeism of hospital workers, job resources and job embeddedness influenced negatively on presenteeism, and it was confirmed that job embeddedness partially mediated in the relationship between job resources and presenteeism. Based on this, in order to reduce presenteeism of hospital workers. it was suggested to improve job integrity by providing sufficient job resources institutionally an administratively and providing continuous educational opportunities.

• Journal of the Korea Society of Computer and Information
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• v.29 no.2
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• pp.101-108
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• 2024

AI-OCR (Artificial Intelligence Optical Character Recognition) combines OCR technology with Artificial Intelligence to overcome limitations that required human intervention. To enhance the performance of AI-OCR, training on diverse data sets is essential. However, the recognition rate declines when image colors have similar brightness levels. To solve this issue, this study employs Homomorphic filtering as a preprocessing step to clearly differentiate color levels, thereby increasing text recognition rates. While Homomorphic filtering is ideal for text extraction because of its ability to adjust the high and low frequency components of an image separately using a gamma value, it has the downside of requiring manual adjustments to the gamma value. This research proposes a range for gamma threshold values based on tests involving image contrast, brightness, and entropy. Experimental results using the proposed range of gamma values in Homomorphic filtering suggest a high likelihood for effective AI-OCR performance.

• Journal of Medicine and Life Science
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• v.21 no.1
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• pp.1-10
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• 2024

The purpose of this study is to determine the issues of supplementation and improvement to prepare for the outbreak of new infectious diseases such as new variants of coronavirus disease 2019 (COVID-19) to guide work for a strategic new response to infectious disease. Public officials of Jeju Special Self-governing Province and health personnel responding to COVID-19, working at six public health centers in Jeju-do region were administered a survey about additional preparations to be made in the future, based on the period when COVID-19 was treated legally as a first-class infectious disease. Frequency analysis was conducted on the collected data. The Likert 5-point scale and Kruskal-Wallis test were used to compare the scores for effective response to emerging infectious diseases according to demographics. Among the important factors identified for effective response to new infectious diseases, 'facilitation of cooperation with public institutions' and 'facilitation of cooperation with private institutions' had the highest scores. In the future, when a patient presents with a new infectious disease, the step that needs to be supplemented in each phase of the public health center's response is 'immediate response team operation'. Further, public health centers responded that 'expansion of dedicated personnel related to infectious diseases' needs to be improved to respond to new infectious diseases. Along with the results of this study, considering the difficulties experienced by health personnel responding to new infectious diseases in preparation for future outbreaks of new infectious diseases, and to respond effectively, detailed and clear guidelines for responding to quarantine of patients of new infectious diseases will be needed.

• Smart Structures and Systems
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• v.33 no.2
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• pp.93-103
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• 2024

Despite the rapid development of sensors, structural health monitoring (SHM) still faces challenges in monitoring due to the degradation of devices and harsh environmental loads. These challenges can lead to measurement errors, missing data, or outliers, which can affect the accuracy and reliability of SHM systems. To address this problem, this study proposes a classification method that detects anomaly patterns in sensor data. The proposed classification method involves several steps. First, data scaling is conducted to adjust the scale of the raw data, which may have different magnitudes and ranges. This step ensures that the data is on the same scale, facilitating the comparison of data across different sensors. Next, informative features in the time and frequency domains are extracted and used as input for a deep neural network model. The model can effectively detect the most probable anomaly pattern, allowing for the timely identification of potential issues. To demonstrate the effectiveness of the proposed method, it was applied to actual data obtained from a long-span cable-stayed bridge in China. The results of the study have successfully verified the proposed method's applicability to practical SHM systems for civil infrastructures. The method has the potential to significantly enhance the safety and reliability of civil infrastructures by detecting potential issues and anomalies at an early stage.

• Journal of Applied Biological Chemistry
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• v.66
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• pp.29-38
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• 2023

Recent studies have highlighted the link between diseases and inflammation across our lifespan. Our sedentary lifestyle, high-calorie diet, chronic stress, chronic infections, and exposure to pollutants and xenobiotics, collectively intensify the course and recurrence of infections and inflammation in our bodies, promoting the prevalence of chronic diseases and aging. Given such phenomena and considering additional factors such as the frequency of prescription, and easy access to over-the-counter drugs, the need for anti-inflammatory therapeutics is ever-increasing. However, the readily available anti-inflammatory treatment option comes with a greater risk of side effects or high cost (biologics). Therefore in this growing competition of discovering and developing new potent anti-inflammatory drugs, we focused on utilizing the established knowledge of traditional medicine to find lead compounds. Since lead optimization is an indispensable step toward drug development, we applied this concept for the production of potent anti-inflammatory compounds achieved by structural modification of flavonoids. The derivative obtained through acetylation of myricetin, 3,3',4',5,5',7-hexaacetate myricetin, showed a greater inhibitory effect in the production of pro-inflammatory mediators such as nitric oxide, Prostaglandin E₂, and pro-inflammatory cytokines like interleukin-6, interleukin1β, in lipopolysaccharide-stimulated RAW264.7 mouse macrophage cells compared to myricetin. The increased potency of inhibition was in conjunction with an increased inhibitory effect on inducible nitric oxide synthase and cyclooxygenase-2 proteins. Through such measures, this study supports lead optimization for well-established lead compounds from traditional medicine using a simpler and greener chemistry approach for the purpose of designing and developing potent anti-inflammatory therapeutics with possibly fewer side effects and increased bioavailability.