• 한국노년학
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• v.41 no.3
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• pp.295-308
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• 2021

This study is a descriptive study conducted to find out the predictive factors according to the level of the frailty of the communitydwelling older adult in a rural area. Data were collected from 400 older adults aged 65 years or older living in rural areas of Gyeongsangnam-do from October 2019 to March 2020. Data were analyzed using logistic regression to examine the predictive factors according to the level of frailty. The results showed that 27.8% for robust older adults, 30.9% for pre-frailty older adults, and 41.3% for frailty older adults. As a result of analyzing the predictive factors according to the level of frailty, the predictors from the robust stage to the pre-frailty stage were grip strength, nutritional status, and depression. The predictive factors for entering the pre-frailty stage into the frailty stage were gender, nutritional status, physical performance ability, and depression. Also, it was found that the predictive factors for entering from the robust stage to the frailty stage were sex, occupation, nutritional status, physical performance ability, and depression. Through this study, it was possible to understand the level of the frailty of the older adults living in rural communities and the effects of multidimensional variables. These results can be used as basic data necessary to find a way to prevent and manage the progression of frailty among older adults in rural areas.

• Journal of the Korean Society of Radiology
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• v.17 no.1
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• pp.131-139
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• 2023

In this study, we are purposed to find the educational effect of practical training using a 3D printed structure-based blind box on multidimensional radiographic image interpretation. The subjects were 83 (male: 49, female: 34) 2nd year radiological science students who participated in the digital medical imaging practice that was conducted for 3 years from 2020 to 2022. The learning method used 3D printing technology to print out the inside structure of the blind box designed by itself. After taking X-rays 3 times (x, y, z axis), the structure images in the blind box were analyzed for each small group. We made the 3D structure that was self-made with clay based on our 2D radiographic images. After taking X-rays of the 3D structure, it was compared whether it matches the structural image of the blind box. The educational effect for the practical training surveyed class faithfulness, radiographic image interpretation ability (attenuation concept, contrast concept, windowing concept, 3-dimensional reading ability), class satisfaction (interest, external recommendation, immersion) on a 5-point Likert scale as an anonymous student self-writing method. As a result, all evaluation items had high positive effects without significant differences between males and females. Practical education using blind boxes is a meaningful example of radiology education technology using 3D printing technology, and it is expected to be used as content to improve students' problem-solving skills and increase satisfaction with major subjects.

• Journal of the Korean Society for information Management
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• v.39 no.2
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• pp.203-232
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• 2022

Drug addiction or substance use disorder is continuously observed worldwide for its risks and prevalence. In this context, numerous studies have been conducted regarding this issue. However, bibliometric analysis related to drug addiction is insufficient. In particular, it is difficult to find research that utilizes a macro-level bibliographic approach that comprehensively reflects various characteristics related to drug addiction. In this study, to reflect the multidimensional features of drug addiction, research trends in drug addiction in social science, natural science, and multidisciplinary studies were compared and analyzed. This study collected drug addiction research articles from 2002 to 2021 by searching from the Web of Science, and classified academic disciplines based on SCI(E) and SSCI information. Author keyword co-occurrence analysis was also conducted, which provided confirmation that natural science mainly studied psychoactive substances and the reward system in the brain, while drug addiction studies reflecting demographic characteristics were conducted in the domain of social science. In the multidisciplinary field, all of the above topics were covered. Author co-citation analysis was also employed, which showed that there are superstars (i.e., authors who receive a rigorous amount of citation) in the field of natural science, while in the social science domain, authors were highly cited not only at the individual level but also at the institutional level.

• Korean Journal of Ecology and Environment
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• v.54 no.4
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• pp.291-302
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• 2021

The phytoplankton community in the estuarine system is affected by changes of physicochemical factors easily. The present study analyzed phytoplankton community distribution and similarity, in addition to exploring factors influencing variations in phytoplankton community structure in three lakes located in the Yeongsan River estuary from March 2014 to November 2017. We carried out non-multidimensional scaling (NMDS) and random forest analysis (RF) for comparing the pattern of phytoplankton distribution and the relationship between phytoplankton distribution and environmental variables. Similarity Percentage (SIMPER) and Analysis of Similarity (ANOSIM) were performed to figure out the similarity of phytoplankton community at each site of three lakes. From NMDS, Phytoplankton community distribution differed between Yeongsan and Gumho lakes, and the factors influencing the distribution of phytoplankton communities across the three lakes were water temperature, dissolved oxygen, total nitrogen (T-N), nitrate-N (NO₃-N), and conductivity. NO₃-N was a key factor influencing phytoplankton community structure in the three lakes based on RF. A total of 24 species were identified as indicator species in the three lakes studied, with the highest species numbers observed in Yeongsan Lake (13) and the lowest observed in Yeongam Lake (2). According to SIMPER and ANOSIM results, the phytoplankton community in Yeongsan and Yeongam lakes were similar, and they differed from those in Gumho Lake. In addition, the phytoplankton community structure varied across the study sites in the three lakes, indicating that water channels across the lakes a minor influence phytoplankton community distribution.

• Korean Journal of School Psychology
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• v.18 no.1
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• pp.121-151
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• 2021

This study aimed to identify the factors that helped and hindered secondary school teachers who experienced student suicide using the concept-mapping approach. Seven South Korean middle and high school teachers were interviewed from which 113 core statements were elicited. The participants sorted these core statements into categories by meaning. Multidimensional scaling and hierarchical cluster analysis were conducted to identify the underlying structure of the teachers' experiences. Four hindering factor clusters emerged: (1) regret over failing to prevent the suicide, (2) an apathetic atmosphere in the school, (3) a sense of helplessness related to suicide survivors, and (4) approach-avoidance conflicts related to suicide survivors. Six helpful factor clusters emerged: (1) cooperation and care offered between suicide survivors, (2) focusing on the present, busy life, (3) spiritual activity, (4) social support, (5) overcoming grief through altruistic behaviors, and (6) sympathy for the deceased. Two dimensions were found for both the hindering and helpful factors. The hindering factor dimensions were external system-internal experiences and related to suicide survivors-related to suicide decedents. The helpful factor dimensions were distancing from the loss-approaching the loss and professional activities-personal activities. The present study empirically explored and described the underlying structure of teachers' bereavement experiences after student suicides.

• Korean Journal of School Psychology
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• v.18 no.1
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• pp.49-70
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• 2021

The purpose of the study was to examine Korean high school students' experience and perceptions of friendship and to inductively conceptualize friendship. The concept mapping method which is used to quantitatively analyze qualitative data was used to identify and visualize participants' experiences and perceptions of friendship. Through a brainstorming process, 93 statements were generated by boys and 100 statements were generated by girls, each set of which were sorted and categorized to generate concept maps. The final concept maps from both group equally had two dimensions: 'Practical-Conceptual' and 'Behavioral-Emotional'. The number of categories was equal to four, but there were some differences in the specifics of the statements in the category. Boys tended to conceptualize friendship as a source of happiness; a type of informal relationship through which they could share their everyday lives; and provide mutual care and engage in emotional bonding. In addition to those conceptualizations, girls also tended to conceptualize friendship as an affective alliance through which they displayed devotion to each other. Boys regarded the sympathy and bonding found in and the happiness produced by friendship as more important elements, whereas girls regarded the care and support found in and the informal nature of friendship as more important

• Economic and Environmental Geology
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• v.55 no.4
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• pp.353-366
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• 2022

Spatial estimation of geoscience data (geo-data) is challenging due to spatial heterogeneity, data scarcity, and high dimensionality. A novel spatial estimation method is needed to consider the characteristics of geo-data. In this study, we proposed the application of Gaussian Mixture Model (GMM) among machine learning algorithms with multivariate data for robust spatial predictions. The performance of the proposed approach was tested through soil chemical concentration data from a former smelting area. The concentrations of As and Pb determined by ex-situ ICP-AES were the primary variables to be interpolated, while the other metal concentrations by ICP-AES and all data determined by in-situ portable X-ray fluorescence (PXRF) were used as auxiliary variables in GMM and ordinary cokriging (OCK). Among the multidimensional auxiliary variables, important variables were selected using a variable selection method based on the random forest. The results of GMM with important multivariate auxiliary data decreased the root mean-squared error (RMSE) down to 0.11 for As and 0.33 for Pb and increased the correlations (r) up to 0.31 for As and 0.46 for Pb compared to those from ordinary kriging and OCK using univariate or bivariate data. The use of GMM improved the performance of spatial interpretation of anthropogenic metals in soil. The multivariate spatial approach can be applied to understand complex and heterogeneous geological and geochemical features.

• Korean journal of applied entomology
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• v.61 no.1
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• pp.129-142
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• 2022

Nutrition dictates nearly all biological processes and determines Darwinian fitness in all living organisms, including insects. Research on insect nutrition has a long history in the field of insect physiology and the importance of understanding insect nutrition has become increasingly apparent with the growing need for producing insects as food and feed. Nevertheless, it is only in recent years that we have witnessed a major breakthrough in our knowledge of insect nutrition. The multivariate, interactive, and dynamic nature of nutrition has long hampered our complete understanding of insect nutrition. However, the challenge posed by such nutritional complexity has been overcome with the advent of the Nutritional Geometry, which is an integrative and multidimensional framework that enabled us to model complex interactions between multiple nutrients. In this review, we introduce the basic concepts and principles of the Nutritional Geometry and describe how this innovative framework has revolutionized the field of insect nutrition and has placed nutrition in the centre of the interface between physiology, ecology, and evolution. We close this review by discussing potentially fertile research areas that can benefit tremendously from the application of this powerful nutritional paradigm in the future.

• Korean Journal of Agricultural Science
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• v.49 no.4
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• pp.719-736
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• 2022

Environmental risk assessment of living modified (LM) crops is essential for their cultivation. In this study, we cultivated β-carotene enhanced transgenic soybean (LM soybean) and non-LM soybean (Gwangan) in living modified organism (LMO) isolated fields, and investigated changes in the insect fauna using three types of collection methods for three years. In total, 331,483 individual insects and arachnids, representing 82 families in 14 orders, were captured during the study. Totals of 166,518 and 164,965 individual insects and arachnids were collected from LM soybean and Gwangan, respectively. Throughout the study, although there were differences between the investigation year, region, and methods, there were no significant differences between the population densities of insect pests, natural enemies, and other insects on LM soybean and non-LM soybean. Also, there were no statistically significant differences between varieties in the results of the species diversity analysis. The data on insect species population densities were subjected to multidimensional scaling (MDS), which did not distinguish between the two varieties, LM soybean and the non-LM soybean, in all cultivated fields. However, the results of the MDS analysis were completely divided into six groups based on the yearly survey areas. These results provided the insect diversity for an environmental risk assessment of LM soybean and suggested that the guideline could be useful to detect LM crops.

• Journal of the Korean Institute of Landscape Architecture
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• v.51 no.4
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• pp.76-89
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• 2023

One of the technologies in urban agriculture, hydroponics cultivation, has primarily focused on technological development, resulting in a lack of research on urban agriculture's cultural utilization aspects, encompassing cultural values associated with urban residents' leisure activities. Therefore, this study aimed to identify the participation constraints perceived by school community members when implementing urban farming activities using hydroponics and understand the structural relationships between the variables that influence decision-making from the perspective of leisure activities in urban farming. As a result, participation constraints in urban farming activities utilizing hydroponics were first categorized into intrinsic, interpersonal, and structural factors. Second, the results of hypothesis model verification showed that interpersonal constraints significantly influenced the participants' willingness to participate and their expected behavior. This study found the multidimensional perceptions of school community members regarding hydroponic urban farming conducted in urban spaces, particularly rooftops, and revealed the influence of decision-making factors on participation when conducting urban farming activities using hydroponic cultivation.