The prolyl 3-hydroxylase family member 4 (P3H4), is associated with post-translational modification of fibrillar collagens and aberrantly activated in cancer leading to tumor progression. However, its role in clear cell renal cell carcinoma (ccRCC) is still unknown. Here we reported that P3H4 was highly expressed in renal cancer tissues and significantly positive correlated with poor prognosis. Knockdown of P3H4 inhibited the proliferation, migration and metastasis of renal cancer cells in vitro and in vivo, and also, overexpression of it enhanced the oncogenic process. Mechanistically, P3H4 depletion decreased the levels of GDF15-MMP9 axis and repressed its downstream signaling. Further functional studies revealed that inhibition of GDF15 suppressed renal cancer cell growth and GDF15 recombinant human protein (rhGDF15) supplementation effectively rescued the inhibitory effect induced by P3H4 knockdown. Moreover, decreased levels of MMP9 caused by inhibition of P3H4-GDF15 signaling constrained the expression of PD-L1 and suppression of P3H4 accordingly promoted anti-tumor immunity via stimulating the infiltration of CD4+ and CD8+ T cells in syngeneic mice model. Taken together, our findings firstly demonstrated that P3H4 promotes ccRCC progression by activating GDF15-MMP9-PD-L1 axis and targeting P3H4-GDF15-MMP9 signaling pathway can be a novel strategy of controlling ccRCC malignancy.
Due to the global climate change, the rainfall volume and frequency on the Korean Peninsula are predicted to increase at the end of the 21st century. In addition, impervious surface areas have increased due to rapid urbanization which has caused the urban water cycle to deteriorate. Green Infrastructure (GI) researches have been conducted to improve the water cycle soundness; the efficiency of this technique has been verified through various studies. However, there are still no suitable GI design guidelines for this aspect. Therefore, the rainfall scenarios are set up for each percentile (60, 70, 80, 90) based on the volume and frequency analysis using 10-year rainfall data (Busan Meteorological Station). After determining the GI areas for each scenario, the runoff reduction characteristics are analyzed based on Storm Water Management Model (SWMM) 10-year rainfall-runoff-simulations. The total runoff reduction efficiency for each GI areas are computed to have a range of 13.1~52.1%. As a results of the quantitative analysis, the design rainfall for GI is classified into the 80~85 percentile in the study site.
The Journal of the Convergence on Culture Technology
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v.7
no.4
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pp.67-74
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2021
The purpose of this study is to explore the internal foundation of lifelong education for the disabled. The composition system of the meaning of contents for this purpose is divided into three elements: 'of' which means subject based on lifelong education for the disabled, 'for' which means purpose, and 'from' which means practical main base. The research method was to discuss the academic basis, practical application model and plan, or to analyze the literature through the previous studies that were actualized in order to form the internal foundation of the support system for lifelong education for the disabled. Second, the expert meeting was conducted to improve the specificity of the research contents based on the basis of the literature analysis. The contents of this study are presented in two main ways: the foundation of developmental disabilities and the foundation of schools by synthesizing the main bases of subjects, purposes, and practical base required to form the internal foundation of lifelong education for the disabled. The above two factors first establish the internal universality of the support system for lifelong education for the disabled, and in connection with the types of sensory disabilities and the general lifelong education. As a result, the long-term stability of the overall support system for lifelong education for the disabled was analyzed.
Recently, there has been a growing interest in zero-shot cross-lingual transfer, which leverages cross-lingual language models (CLLMs) to perform downstream tasks that are not trained in a specific language. In this paper, we point out the limitations of the data-centric aspect of quality estimation (QE), and perform zero-shot cross-lingual transfer even in environments where it is difficult to construct QE data. Few studies have dealt with zero-shots in QE, and after fine-tuning the English-German QE dataset, we perform zero-shot transfer leveraging CLLMs. We conduct comparative analysis between various CLLMs. We also perform zero-shot transfer on language pairs with different sized resources and analyze results based on the linguistic characteristics of each language. Experimental results showed the highest performance in multilingual BART and multillingual BERT, and we induced QE to be performed even when QE learning for a specific language pair was not performed at all.
Kim, Eunseop;Moon, Sun-In;Yim, Dong-Hyuk;Choi, Byung-Sun;Park, Jung-Duck;Eom, Sang-Yong;Kim, Yong-Dae;Kim, Heon
Journal of Environmental Health Sciences
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v.48
no.4
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pp.236-243
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2022
Background: In the case of multiple exposures to different types of heavy metals, such as the conditions faced by residents living near a smelter, it would be preferable to group hazardous substances with similar characteristics rather than individually related substances and evaluate the effects of each group on the human body. Objectives: The purpose of this study is to evaluate the utility of factor analysis in the assessment of health effects caused by exposure to two or more hazardous substances with similar characteristics, such as in the case of residents living near a smelter. Methods: Heavy metal concentration data for 572 people living in the vicinity of the Janghang smelter area were grouped based on several subfactors according to their characteristics using factor analysis. Using these factor scores as an independent variable, multiple regression analysis was performed on health effect markers. Results: Through factor analysis, three subfactors were extracted. Factor 1 contained copper and zinc in serum and revealed a common characteristic of the enzyme co-factor in the human body. Factor 2 involved urinary cadmium and arsenic, which are harmful metals related to kidney damage. Factor 3 encompassed blood mercury and lead, which are classified as related to cardiovascular disease. As a result of multiple linear regression analysis, it was found that using the factor index derived through factor analysis as an independent variable is more advantageous in assessing the relevance to health effects than when analyzing the two heavy metals by including them in a single regression model. Conclusions: The results of this study suggest that regression analysis linked with factor analysis is a good alternative in that it can simultaneously identify the effects of heavy metals with similar properties while overcoming multicollinearity that may occur in environmental epidemiologic studies on exposure to various types of heavy metals.
As the aging of our society gradually deepens, the quality of the elderly care environment based on the elderly care model of the Silver Town space is gradually becoming the focus of everyone's attention. This study mainly studies and discusses the visual and behavioral characteristics of the elderly. In order to pay more attention to the special needs of the elderly in order to optimize the spatial environment, the design of visual experience design in the living environment of the elderly in Silver Town is designed. explore in depth Through this, the environment of the space is optimized so that the elderly can enjoy their old age in a comfortable environment. This study is based on visual psychology, environmental psychology, gerontology and other theories. Through the collection of related literature and field research on the elderly, the function and overall combination of the living environment of the elderly in Silver Town is studied, and the environment is organized. Based on the behavioral and visual needs of middle-aged and older people, a design method was proposed to strengthen the visual connection in space. In terms of visual experience, the lighting, colors, and materials of the environment are studied. Through a combination of theory and research and experiments, it is concluded that the elderly prefer plants with warm colors, high brightness colors, and geometric patterns. The design principle and design method of the visual experience in the Silver Town space are summarized.
As the impermeable area of soil increases due to urbanization, the water circulation system of the city is deteriorating. The existing guidelines for low impact development (LID) facilities installed to solve these water problems or in previous studies, engineering aspects are more prominent than landscaping aspects. This study attempted to present an engineering and landscaping model for reducing pollutants by identifying the effects of vegetation on rainfall outflows and pollutant reduction in bioretention and the economic aspects of planting. Based on the results of artificial rainfall monitoring at Jeonju Seogok Park and the literature on vegetation rainfall runoff and pollutant reduction performance, the best vegetation for reducing pollution compared to cost was Lythrum salicaria L and Salix gracilistyla Miq. was the best vegetation for carbon storage. If you insist to design plants with only these two plantation, there is no choice but to take risks such as biodiversity. Herbaceous plants such as Lythrum salicaria L can be replaced by death of the plants or pests if considered planting various plants. The initial planting cost could expensive, but it is also necessary to mix and plant Salix gracilistyla Miq, which are woody plants that are advantageous in terms of maintenance, according to the surrounding environment and conditions. Based on the conclusions drawn in this study, it can be a reference material when considering the reduction of pollution by species and carbon storage of vegetation in LID facilities.
BACKGROUND/OBJECTIVES: Previous studies have reported that protein supplementation contributes to the attenuation of inflammation. Serious trauma such as burn injury usually results in the excessive release of inflammatory factors and organs dysfunction. However, a few reports continued to focus on the function of protein ingestion in regulating burn-induced inflammation and organ dysfunction. MATERIALS/METHODS: This study established the rat model of 30% total body surface area burn injury, and evaluated the function of blended protein (mixture of whey and soybean proteins). Blood routine examination, inflammatory factors, blood biochemistry, and immunohistochemical assays were employed to analyze the samples from different treatment groups. RESULTS: Our results indicated a decrease in the numbers of white blood cells, monocytes, and neutrophils in the burn injury group administered with the blended protein nutritional support (Burn+BP), as compared to the burn injury group administered normal saline supplementation (Burn+S). Expressions of the pro-inflammatory factors (tumor necrosis factor-α and interleukin-6 [IL-6]) and chemokines (macrophage chemoattractant protein-1, regulated upon activation normal T cell expressed and secreted factor, and C-C motif chemokine 11) were dramatically decreased, whereas anti-inflammatory factors (IL-4, IL-10, and IL-13) were significantly increased in the Burn+BP group. Kidney function related markers blood urea nitrogen and serum creatinine, and the liver function related markers alanine transaminase, aspartate aminotransferase, alkaline phosphatase, and lactate dehydrogenase were remarkably reduced, whereas albumin levels were elevated in the Burn+BP group as compared to levels obtained in the Burn+S group. Furthermore, inflammatory cells infiltration of the kidney and liver was also attenuated after burn injury administered with blended protein supplementation. CONCLUSIONS: In summary, nutritional support with blended proteins dramatically attenuates the burn-induced inflammatory reaction and protects organ functions. We believe this is a new insight into a potential therapeutic strategy for nutritional support of burn patients.
Journal of Korean Society of Industrial and Systems Engineering
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v.45
no.2
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pp.48-55
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2022
The color image of the brand comes first and is an important visual element that leads consumers to the consumption of the product. To express more effectively what the brand wants to convey through design, the printing market is striving to print accurate colors that match the intention. In 'offset printing' mainly used in printing, colors are often printed in CMYK (Cyan, Magenta, Yellow, Key) colors. However, it is possible to print more accurate colors by making ink of the desired color instead of dotting CMYK colors. The resulting ink is called 'spot color' ink. Spot color ink is manufactured by repeating the process of mixing the existing inks. In this repetition of trial and error, the manufacturing cost of ink increases, resulting in economic loss, and environmental pollution is caused by wasted inks. In this study, a deep learning algorithm to predict printed spot colors was designed to solve this problem. The algorithm uses a single DNN (Deep Neural Network) model to predict printed spot colors based on the information of the paper and the proportions of inks to mix. More than 8,000 spot color ink data were used for learning, and all color was quantified by dividing the visible light wavelength range into 31 sections and the reflectance for each section. The proposed algorithm predicted more than 80% of spot color inks as very similar colors. The average value of the calculated difference between the actual color and the predicted color through 'Delta E' provided by CIE is 5.29. It is known that when Delta E is less than 10, it is difficult to distinguish the difference in printed color with the naked eye. The algorithm of this study has a more accurate prediction ability than previous studies, and it can be added flexibly even when new inks are added. This can be usefully used in real industrial sites, and it will reduce the attempts of the operator by checking the color of ink in a virtual environment. This will reduce the manufacturing cost of spot color inks and lead to improved working conditions for workers. In addition, it is expected to contribute to solving the environmental pollution problem by reducing unnecessarily wasted ink.
The purpose of this study was to investigate the reliability and validity of the Korean version of the zero-sum belief scale among a sample of Korean adults. The original scale was developed by Różycka-Tran, Boski, and Wojciszke (2015) based on the Belief in a Zero-Sum Game (BZSG) model. A total of 508 participants (252 college students and 256 non-student adults) completed an online survey comprised of the scales of zero-sum belief, social trust, subjective socioeconomic status, individualistic-collectivistic tendencies, and social comparison orientation. Results of the exploratory factor analysis and the confirmatory factor analysis indicated that zero-sum belief scale has one factor. The internal consistency of the zero-sum belief scale was good. The Zero-sum belief scale did not have a significant relationship with social trust and subjective socioeconomic status. However, the scale was positively associated with vertical individualistic and vertical collectivistic tendencies and negatively associated with horizontal collectivistic tendencies. There was no significant relationship between zero-sum belief and horizontal individualistic tendencies, but there was a significant positive relationship between zero-sum belief and social comparison orientation. However, the results from the college student sample and the non-student adult sample were different. Lastly, this study could facilitate future research on zero-sum belief in South Korea, and future studies are needed to reveal the predictors and effects of zero-sum belief.
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