• Hwankyungkyoyuk
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• v.13 no.1
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• pp.122-132
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• 2000

The purpose of this study is to survey and analyze the environmental awareness and attitude of elementary school students, adapting the CHEAKS(Children's Environmental Attitude and Knowledge Scale) for Korean elementary students, which is the valid-tested tools for children's environmental awareness and altitude. The subjects are 580 students from 6 elementary schools. The differences of the environmental attitude are surveyed and analyzed by environmental education activities, such as environmental activities in school and “the school forest movement”, and environmental awareness and concern. The results are as followings: First, the subjects replied that the environmental problems are very serious, such as atmospheric pollution(37.6%), water pollution(22.2%) and food waste(16.3%), but they are relatively optimistic of the future environment. Second, the verbal commitment subdomain and the affect domain are evaluated higher than the actual commitment subdomain, and the environmental issues of water, energy and recycling are considered more importantly than other issues such as environmental generals, pollutions and animals. Third, the grade and the sex have little effect on the environmental attitude, but the environmental education activities have great positive effect, such as the experience of environmental camping, the education of saving resources, waste separation and the experience of raising plants and flowers. Fourth, the students with high awareness and concern about the environmental problems have high environmental attitude. Especially, the awareness and concern on the flowers and plants have very strong correlation with environmental attitude, regardless of the subdomains. Finally, the students from the school participating “the school forest movement” have relatively positive environmental attitude. Particularly, the participation of students and the positive approach of the school have positively great influence on the students' environmental attitude in all of 3 subdomains and 6 environmental issues.

• Journal of Korean Public Health Nursing
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• v.35 no.1
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• pp.72-88
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• 2021

Purpose: This study investigated the associations between physical activities (PAs) and the health-related quality of life (HRQOL) and perceived health status (PHS) of cancer survivors. We further examined the interaction effects of PAs and covariates on HRQOL and PHS. Methods: Data sets were obtained from the 2014-2018 Korea National Health and Nutrition Examination Survey. The subjects were 1,349 cancer survivors aged over 18 years old. Data were analyzed using R 4.0.3 and SPSS 18.0. Logistic regression analysis was conducted considering only the main terms, or including additional interaction terms between PAs and covariates. Results: Moderate and high PAs showed significantly improved HRQOL related to self-care domain, euro quality of life-5 dimension index, and PHS. Interaction analysis revealed that high PAs resulted in improved HRQOL associated with self-care and pain/discomfort in cancer survivors having depression. Moreover, for low- and middle-income levels, higher PAs served to improve HRQOL associated with depression/anxiety. In contrast, higher PAs rather reduced HRQOL for the high-income group. Conclusions: To improve HRQOL, we recommend PAs higher than the moderate level for cancer survivors. In case of cancer survivors having depression or belonging to the high-income group, it is necessary to manage individual PAs considering the interaction effects.

• Journal of the Regional Association of Architectural Institute of Korea
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• v.20 no.6
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• pp.47-54
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• 2018

The purpose of this study is to verify the long - range measurement performance for practical field application of VDMS. The reliability of the VDMS was verified by comparison with the existing monitoring sensor, GPS, Accelerometer and LDS. It showed the ability to accurately measure the dynamic displacement by tracking a motion of free vibration of target. And using the PSD function of measured data, the results in the frequency domain were also analyzed. We judged that VDMS is able to identify the higher system mode and has sufficient reliability. Based on the reliability verification, we conducted tests for long-distance applicability for actual application of VDMS. The distance from the stationary target model structure was increased by 50m interval, and the maximum distance was set to 400m. From the distance of 150m, the image obtained by the commercial camcorder has an error in the analysis, so the measured displacement comparison was performed between the LDS and the refractor telescope measurement results. In the measurement results of the displacement area of VDMS, the data validity was deteriorated due to the data shift by the external force and the quality degradation of the enlarged image. However, even under the condition that the effectiveness of the displacement measurement data of VDMS is low, the first mode characteristic included in the free vibration of the object is clearly measured. If the influence from the external environment is controlled and stable data is collected, It is judged that reliability of long-distance VDMS can be secured.

• Journal of Information Technology Services
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• v.18 no.2
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• pp.143-159
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• 2019

Machine learning (ML) is a method of fitting given data to a mathematical model to derive insights or to predict. In the age of big data, where the amount of available data increases exponentially due to the development of information technology and smart devices, ML shows high prediction performance due to pattern detection without bias. The feature engineering that generates the features that can explain the problem to be solved in the ML process has a great influence on the performance and its importance is continuously emphasized. Despite this importance, however, it is still considered a difficult task as it requires a thorough understanding of the domain characteristics as well as an understanding of source data and the iterative procedure. Therefore, we propose methods to apply deep learning for solving the complexity and difficulty of feature extraction and improving the performance of ML model. Unlike other techniques, the most common reason for the superior performance of deep learning techniques in complex unstructured data processing is that it is possible to extract features from the source data itself. In order to apply these advantages to the business problems, we propose deep learning based methods that can automatically extract features from transaction data or directly predict and classify target variables. In particular, we applied techniques that show high performance in existing text processing based on the structural similarity between transaction data and text data. And we also verified the suitability of each method according to the characteristics of transaction data. Through our study, it is possible not only to search for the possibility of automated feature extraction but also to obtain a benchmark model that shows a certain level of performance before performing the feature extraction task by a human. In addition, it is expected that it will be able to provide guidelines for choosing a suitable deep learning model based on the business problem and the data characteristics.

• Journal of Science Education
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• v.43 no.2
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• pp.195-206
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• 2019

The study aims to find a way to guarantee high school students choose science subjects by exploring its necessity as a prerequisite for admission to university science and engineering major courses. For this purpose, a survey was administered to 516 science & engineering college students to investigate their cognition and completion of the prerequisite science subjects related to their major, department adjustment, and influence on their major of study. Among nine major clusters, Physics was identified as a science domain with a high relevance to majors in five major clusters, and Chemistry in three. The students who completed both science I and II subjects related to their majors responded most positively to the usefulness of prerequisite subjects to their studies. Suggestions include conditions for the opening of science II subjects, strengthening the connection between science subjects and IT, promotion of linkage between the prerequisite subject and major studies to assert students' choice of science subjects in high school.

• Korean Journal of Agricultural Science
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• v.48 no.2
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• pp.251-264
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• 2021

Bovine respiratory syncytial virus (BRSV) and bovine viral diarrhea virus (BVDV) are the main viral contributors to bovine respiratory disease (BRD) with high mortality and morbidity. BRD control measures include vaccination that modulates immunological profiles reflected in blood cells, serum, and body secretions, such as milk. This study evaluated the immune responses to an inactivated BRD vaccine in lactating cows reared in a natural environment on a dairy farm. The cows were intramuscularly inoculated with the vaccine, and serum, blood, and milk were collected pre-and post-vaccination. Our study revealed a prominent increase in BRSV-specific antibodies both in serum and milk, while the change in BVDV-specific antibodies was insignificant. Serum interleukin (IL)-1β and IL-6 levels significantly decreased, but this change was not reflected in milk. Evaluation of pattern recognition receptors (PRRs) via RT-qPCR revealed downregulation of nucleotide-binding oligomerization domain 2 (NOD2). The concentrations of BRSV antibodies, BVDV antibodies, IL-2, and IL-17A in serum and milk were strongly correlated, implying a concurrent influence on both body fluids. Thus, immunological factors modulated as a result of vaccination generally measured in serum were reflected in milk, demonstrating the suitability of milk evaluation as an alternative approach for immunological observations. Furthermore, the correlation between BRSV antibodies and NOD2 and that between BVDV antibodies and toll-like receptor (TLR) 2, TLR3, TLR4, and TLR5 imply the possible role of PRRs for the assessment of the immune response developed in immunized cows reared on the farm.

• The Southeast Asian review
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• v.27 no.2
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• pp.119-153
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• 2017

This paper examines the institutionalized images of Indonesian womanhood during the Orde Baru (New Order; 1966-1998). In doing so, it discusses these images as manifested in the Indonesian constitution, governmental organizations such as such as 'Dharma Wanita' and 'Pembinaan Kesejahteraan Keluarga' (PKK), school textbooks and 'Televisi Republik Indonesia' (TVRI) dramas. Under the post-1966 Orde Baru, certain images of womanhood were institutionalized under the influence of the state ideology of womanhood ('ibuism') which emphasizes women's roles in the domestic domain. These institutionalized images were propagated largely by governmental organizations such as 'Dharma Wanita' and 'PKK', and even transmitted through educational text-books and mess media such as TVRI. In conclusion, it also points out that since the mid-1990s, other 'discursive' and 'multi-faceted' contemporary images of womanhood have emerged through the mass media in Indonesian society. Consequently, images of Indonesian womanhood were somehow contested by 2000 and beyond. This paper is expected to develop a detailed discussion on the 'means' and 'contents' of the state ideology of womanhood. Therefore, this paper is expected to add a significant contribution to comprehending the institutionalized images of Indonesian womanhood during the Orde Baru regime.

• Journal of Microbiology and Biotechnology
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• v.31 no.6
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• pp.794-802
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• 2021

In this study we investigated the role and mechanism of cardamonin on IL-1β induced injury in OA. CHON-001 cells were treated with cardamonin and IL-1β and transfected with silencing nuclear factor erythroid 2-related factor 2 (siNrf2). Cell viability was detected by Cell Counting Kit-8 assay and flow cytometer assay was utilized for cell apoptosis assessment. IL-6, IL-8, TNF-α and Nrf2 mRNA expression was tested by qRT-PCR. Western blot was employed to evaluate MMP-3, MMP-13, Collagen II, Nrf2, NQO-1, NLRP3, Caspase 1 and apoptosis-associated speck-like protein containing a caspase-1 recruitment domain (ASC) protein levels. In CHON-001 cells, IL-1β suppressed cell viability and Collagen II level while promoting cell apoptosis and expression of pro-inflammatory cytokines (IL-6, IL-8, TNF-α), MMPs (MMP-3, MMP-13), NQO-1, and NLRP3 inflammasome (NLRP3, Caspase 1 and ASC), with no significant influence on Nrf2. Cardamonin reversed the effect of IL-1β on cell viability, cell apoptosis, pro-inflammatory cytokines, MMPs, Collagen II, and NLRP3 inflammasome levels. In addition, cardamonin advanced Nrf2 and NQO-1 expression of CHON-001 cells. SiNrf2 reversed the function of cardamonin on IL-1β-induced cell apoptosis and expression of pro-inflammatory cytokines, Nrf2, NQO-1, and NLRP3 inflammasome in chondrocytes. Taken together Cardamonin inhibited IL-1β induced injury by inhibition of NLRP3 inflammasome via activating Nrf2/NQO1 signaling pathway in chondrocyte.

• Ocean Systems Engineering
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• v.11 no.1
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• pp.17-42
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• 2021

Articulated loading platforms (ALPs) belongs to a class of offshore structures known as compliant. ALP motions have time periods falling in the wind excitation frequency range due to their compliant behaviour. This paper deals with the dynamic behavior of a double hinged ALP subjected to low-frequency wind forces with random waves. Nonlinear effects due to variable submergence, fluctuating buoyancy, variable added mass, and hydrodynamic forces are considered in the analysis. The random sea state is characterized by the Pierson-Moskowitz (P-M) spectrum. The wave forces on the submerged elements of the platform's shaft are calculated using Morison's Equation with Airy's linear wave theory ignoring diffraction effects. The fluctuating wind load has been estimated using Ochi and Shin wind velocity spectrum for offshore structures. The nonlinear dynamic equation of motion is solved in the time domain by the Wilson-θ method. The wind-structure interactions, along with the effect of various other parameters on the platform response, are investigated. The effect of offset of aerodynamic center (A.C.) with the center of gravity (C.G.) of platform superstructure has also been investigated. The outcome of the analyses indicates that low-frequency wind forces affect the response of ALP to a large extent, which otherwise is not enhanced in the presence of only waves. The mean wind modifies the mean position of the platform surge response to the positive side, causing an offset. Various power spectral densities (PSDs) under high and moderate sea states show that apart from the significant peak occurring at the two natural frequencies, other prominent peaks also appear at very low frequencies showing the influence of wind on the response.

• Journal of the Korea Society of Computer and Information
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• v.26 no.8
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• pp.221-227
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• 2021

Since there are almost no scales for measuring the size of We-Chat applets, and most of the existing We-Chat applets are grafted through the original APP application, At present, the application scope of We-chat applets which is mainly in /shopping/life/food application. Thus, the purpose of this research is to focus on the iPhone app store, collect data on the top five of APP-STORE through users' comments and The high-frequency words will be obtained for statistics, and the variables of this study will be set up. Last, develop relevant Empirical research on the size and measurement scale of the We-Chat applet. Therefore, how to use We-Chat applets to improve user experience, we can create their own user private domain traffic for We-Chat applets and achieve long-term market competitiveness.