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Analysing the Effects of Age, Generational Cohorts, National Identity on Supranational Regional Identity (초국가적 동아시아정체성에 대한 연령 및 세대코호트, 국가정체성의 효과분석)

  • Chi, Eunju;Kwon, Hyeok Yong
    • Journal of International Area Studies (JIAS)
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    • v.14 no.1
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    • pp.309-330
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    • 2010
  • This paper examines the life-cycle and birth cohort effect on East Asian supranational identity. This paper also explores how national identity is related with supranational identity among Koreans. Using the 2008 CCGA-EAI survey, we analyze the determinants of supranational East Asian identity. The results suggest several interesting findings. Age and national identity have positive effects on East Asian identity. Among generational cohorts, the democratization cohort were less likely than other cohorts to have East Asian identity. These findings suggest several implications. First, in Korea, unlike other countries in the Western world, the older tend to have stronger regional identity than the younger do. Second, unlike the existing literature, this paper finds that strong national identity (pride) is complementary, rather than substitutive, to supranational regional identity. This warrants further systematic research on the microfoundation on the relationship between regional integration and nationalism in Northeast Asia.

Comparison of growth performance and related gene expression of muscle and fat from Landrace, Yorkshire, and Duroc and Woori black pigs

  • Bosung Kim;Yejin Min;Yongdae Jeong;Sivasubramanian Ramani;Hyewon Lim;Yeonsu Jo;Woosang Kim;Yohan Choi;Sungkwon Park
    • Journal of Animal Science and Technology
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    • v.65 no.1
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    • pp.160-174
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    • 2023
  • The purpose of this study was to compare marbling score, meat quality, juiciness, sarcomere length, and skeletal muscle satellite cell (SMSC) growth and related gene expression between Woori black pig (WB) and the Landrace, Yorkshire, and Duroc (LYD) crossbreed at different body weights (b.w.). WB was developed to improve meat quality and growth efficiency by crossbreeding Duroc with Korean native black pig. A total of 24 pigs were sacrificed when their b.w. reached about 50, 75, 100, and 120 kg. SMSC were isolated from the femoris muscles, and muscle and adipose tissues were sampled from the middle and the subcutaneous part of the femoris of hind legs, respectively. Expression levels of genes including Myoblast determination protein 1 (MyoD), Paired box gene 3 (Pax3), Myosin heavy chain (MyHC), and Myogenin, which are responsible for the growth and development of SMSC, were higher in LYD than the WB. Muscle growth inhibitor myostatin (MSTN), however, was expressed more in WB compared to LYD (p < 0.01). Numbers of SMSC extracted from femoris muscle of LYD at 50, 75, 100, and 120 kg b.w. were 8.5 ± 0.223, 8.6 ± 0.245, 7.2 ± 0.249, and 10.9 ± 0.795, and those from WB were 6.2 ± 0.32, 6.2 ± 0.374, 5.3 ± 0.423, and 17.1 ± 0.315, respectively. Expression of adipogenic genes in adipose tissue including CCAAT/enhancer-binding protein (CEBP)-β, peroxisome proliferator activated receptor (PPAR)-γ, and fatty acid synthase (FASN), were greater in WB when compared with LYD (p < 0.01). Results from the current study suggest that different muscle cell numbers between 2 different breeds might be affected by related gene expression and this warrants further investigation on other growth factors regulating animal growth and development.

Association of coffee consumption with type 2 diabetes and glycemic traits: a Mendelian randomization study

  • Hyun Jeong Cho;Akinkunmi Paul Okekunle ;Ga-Eun Yie ;Jiyoung Youn ;Moonil Kang;Taiyue Jin;Joohon Sung;Jung Eun Lee
    • Nutrition Research and Practice
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    • v.17 no.4
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    • pp.789-802
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    • 2023
  • BACKGROUND/OBJECTIVES: Habitual coffee consumption was inversely associated with type 2 diabetes (T2D) and hyperglycemia in observational studies, but the causality of the association remains uncertain. This study tested a causal association of genetically predicted coffee consumption with T2D using the Mendelian randomization (MR) method. SUBJECTS/METHODS: We used five single-nucleotide polymorphisms (SNPs) as instrumental variables (IVs) associated with habitual coffee consumption in a previous genome-wide association study among Koreans. We analyzed the associations between IVs and T2D, fasting blood glucose (FBG), 2h-postprandial glucose (2h-PG), and glycated haemoglobin (HbA1C) levels. The MR results were further evaluated by standard sensitivity tests for possible pleiotropism. RESULTS: MR analysis revealed that increased genetically predicted coffee consumption was associated with a reduced prevalence of T2D; ORs per one-unit increment of log-transformed cup per day of coffee consumption ranged from 0.75 (0.62-0.90) for the weighted mode-based method to 0.79 (0.62-0.99) for Wald ratio estimator. We also used the inverse-variance-weighted method, weighted median-based method, MR-Egger method, and MR-PRESSO method. Similarly, genetically predicted coffee consumption was inversely associated with FBG and 2h-PG levels but not with HbA1c. Sensitivity measures gave similar results without evidence of pleiotropy. CONCLUSIONS: A genetic predisposition to habitual coffee consumption was inversely associated with T2D prevalence and lower levels of FBG and 2h-PG profiles. Our study warrants further exploration.

Proposal and Performance Verification of a Seismic Adapter for Steel Brace Connections for In-plane Reinforcement of School Buildings (학교 건축물의 면내보강을 위한 강재브레이스 접합용 내진어댑터의 상세 제안 및 성능검증)

  • Seokjae Heo;Lan Chung;In-Kwan Paik
    • Journal of the Korea institute for structural maintenance and inspection
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    • v.27 no.6
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    • pp.162-171
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    • 2023
  • In this study, The details for a seismic adapter designed to easily connect concrete structures and reinforcement materials for the in-plane reinforcement of aged structures were proposed. Proposed seismic adapter was tested for performance using a dynamic simulation on a 2-story column-beam structure, scaled to half of the real size. The experimental results showed that the reinforced test specimens using the seismic adapter improved their energy dissipation capacity by 3.5 times compared to the non-reinforced specimens. It was confirmed that the seismic adapter experienced no damage within its general usage range, thus proving its effectiveness. Subsequently, upon loading until the limit of deformation (a deformation angle of 3.3%), it was observed that one of the M10 bolts connecting the adapter and the reinforcement at the lower part of the first floor broke. Considering this finding, when applying seismic retrofitting in real situations, emphasis should be placed on the design of the bolts and anchors connecting the seismic adapter. This aspect warrants further research for validation.

Students' Performance Prediction in Higher Education Using Multi-Agent Framework Based Distributed Data Mining Approach: A Review

  • M.Nazir;A.Noraziah;M.Rahmah
    • International Journal of Computer Science & Network Security
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    • v.23 no.10
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    • pp.135-146
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    • 2023
  • An effective educational program warrants the inclusion of an innovative construction which enhances the higher education efficacy in such a way that accelerates the achievement of desired results and reduces the risk of failures. Educational Decision Support System (EDSS) has currently been a hot topic in educational systems, facilitating the pupil result monitoring and evaluation to be performed during their development. Insufficient information systems encounter trouble and hurdles in making the sufficient advantage from EDSS owing to the deficit of accuracy, incorrect analysis study of the characteristic, and inadequate database. DMTs (Data Mining Techniques) provide helpful tools in finding the models or forms of data and are extremely useful in the decision-making process. Several researchers have participated in the research involving distributed data mining with multi-agent technology. The rapid growth of network technology and IT use has led to the widespread use of distributed databases. This article explains the available data mining technology and the distributed data mining system framework. Distributed Data Mining approach is utilized for this work so that a classifier capable of predicting the success of students in the economic domain can be constructed. This research also discusses the Intelligent Knowledge Base Distributed Data Mining framework to assess the performance of the students through a mid-term exam and final-term exam employing Multi-agent system-based educational mining techniques. Using single and ensemble-based classifiers, this study intends to investigate the factors that influence student performance in higher education and construct a classification model that can predict academic achievement. We also discussed the importance of multi-agent systems and comparative machine learning approaches in EDSS development.

Differential microbiota network according to colorectal cancer lymph node metastasis stages

  • Yeuni Yu;Donghyun Han;Hyomin Kim;Yun Hak Kim;Dongjun Lee
    • Journal of Genetic Medicine
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    • v.20 no.2
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    • pp.52-59
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    • 2023
  • Purpose: Colorectal cancer (CRC) is a common malignancy worldwide and the second leading cause of cancer-related deaths. In addition, lymph node metastasis in CRC is considered an important prognostic factor for predicting disease recurrence and patient survival. Recent studies demonstrated that the microbiome makes substantial contributions to tumor progression, however, there is still unknown about the microbiome associated with lymph node metastasis of CRC. Here, we first reported the microbial and tumor-infiltrating immune cell differences in CRC according to the lymph node metastasis status. Materials and Methods: Using Next Generation Sequencing data acquired from 368 individuals diagnosed with CRC (N0, 266; N1, 102), we applied the LEfSe to elucidate microbial differences. Subsequent utilization of the Kaplan-Meier survival analysis enabled the identification of particular genera exerting significant influence on patient survival outcomes. Results: We found 18 genera in the N1 group and 3 genera in the N0 group according to CRC lymph node metastasis stages. In addition, we found that the genera Crenobacter (P=0.046), Maricaulis (P=0.093), and Arsenicicoccus (P=0.035) in the N0 group and Cecembia (P=0.08) and Asanoa (P=0.088) in the N1 group were significantly associated with patient survival according to CRC lymph node metastasis stages. Further, Cecembia is highly correlated to tumor-infiltrating immune cells in lymph node metastasized CRC. Concolusion: Our study highlights that tumor-infiltrating immune cells and intratumoral microbe diversity are associated with CRC. Also, this potential microbiome-based oncology diagnostic tool warrants further exploration.

Research progress on hydrogel-based drug therapy in melanoma immunotherapy

  • Wei He;Yanqin Zhang;Yi Qu;Mengmeng Liu;Guodong Li;Luxiang Pan;Xinyao Xu;Gege Shi;Qiang Hao;Fen Liu;Yuan Gao
    • BMB Reports
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    • v.57 no.2
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    • pp.71-78
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    • 2024
  • Melanoma is one of the most aggressive skin tumors, and conventional treatment modalities are not effective in treating advanced melanoma. Although immunotherapy is an effective treatment for melanoma, it has disadvantages, such as a poor response rate and serious systemic immune-related toxic side effects. The main solution to this problem is the use of biological materials such as hydrogels to reduce these side effects and amplify the immune killing effect against tumor cells. Hydrogels have great advantages as local slow-release drug carriers, including the ability to deliver antitumor drugs directly to the tumor site, enhance the local drug concentration in tumor tissue, reduce systemic drug distribution and exhibit good degradability. Despite these advantages, there has been limited research on the application of hydrogels in melanoma treatment. Therefore, this article provides a comprehensive review of the potential application of hydrogels in melanoma immunotherapy. Hydrogels can serve as carriers for sustained drug delivery, enabling the targeted and localized delivery of drugs with minimal systemic side effects. This approach has the potential to improve the efficacy of immunotherapy for melanoma. Thus, the use of hydrogels as drug delivery vehicles for melanoma immunotherapy has great potential and warrants further exploration.

Asymmetric Intention of Platform Participation in C2C Sharing Economy (C2C 공유경제 서비스 참여자 간의 비대칭적 플랫폼 참여의도)

  • GeonHo Shin;Kyuhong Park;Yongjin Park;Jae-Hyeon Ahn
    • Information Systems Review
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    • v.19 no.3
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    • pp.47-67
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    • 2017
  • The sharing economy has emerged as a new form of consumption pattern along with the advancement of information technology and the changes in the consumers' desires for economic spending. In a C2C-sharing economy platform, the user side and supplier side share the same assets, thereby making both sides of the market closely related. However, an information asymmetry exists within the platform that makes the players from one side reluctant to participate. This information asymmetry warrants a strategic approach for solving the fundamental "chicken and egg" problem for platform development. Motivated by this phenomenon, this study aims to analyze how the participation intentions from both sides of the platform are influenced by certain anteceding factors, such as trust, perceived risk, and perceived economic profit. Our findings show that the anteceding factors affect the participation intentions in different paths for both sides of the platform. As a managerial implication, these findings highlight the necessity of employing different approaches for each side of market development.

Application of near-infrared spectroscopy for hay evaluation at different degrees of sample preparation

  • Eun Chan Jeong;Kun Jun Han;Farhad Ahmadi;Yan Fen Li;Li Li Wang;Young Sang Yu;Jong Geun Kim
    • Animal Bioscience
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    • v.37 no.7
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    • pp.1196-1203
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    • 2024
  • Objective: A study was conducted to quantify the performance differences of the near-infrared spectroscopy (NIRS) calibration models developed with different degrees of hay sample preparations. Methods: A total of 227 imported alfalfa (Medicago sativa L.) and another 360 imported timothy (Phleum pratense L.) hay samples were used to develop calibration models for nutrient value parameters such as moisture, neutral detergent fiber, acid detergent fiber, crude protein, and in vitro dry matter digestibility. Spectral data of hay samples prepared by milling into 1-mm particle size or unground were separately regressed against the wet chemistry results of the abovementioned parameters. Results: The performance of the developed NIRS calibration models was evaluated based on R2, standard error, and ratio percentage deviation (RPD). The models developed with ground hay were more robust and accurate than those with unground hay based on calibration model performance indexes such as R2 (coefficient of determination), standard error, and RPD. Although the R2 of calibration models was mainly greater than 0.90 across the feed value indexes, the R2 of cross-validations was much lower. The R2 of cross-validation varies depending on feed value indexes, which ranged from 0.61 to 0.81 in alfalfa, and from 0.62 to 0.95 in timothy. Estimation of feed values in imported hay can be achievable by the calibrated NIRS. However, the NIRS calibration models must be improved by including a broader range of imported hay samples in the modeling. Conclusion: Although the analysis accuracy of NIRS was substantially higher when calibration models were developed with ground samples, less sample preparation will be more advantageous for achieving rapid delivery of hay sample analysis results. Therefore, further research warrants investigating the level of sample preparations compromising analysis accuracy by NIRS.

Development of a sequence-characterized amplified region (SCAR) marker for female off-season flowering detection in date palm (Phoenix dactylifera L.)

  • Lalita Kethirun;Puangpaka Umpunjun;Ngarmnij Chuenboonngarm;Unchera Viboonjun
    • Journal of Plant Biotechnology
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    • v.50
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    • pp.190-199
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    • 2023
  • Date palm (Phoenix dactylifera L.: Arecaceae) is a dioecious species where only female trees bear fruits. In their natural state, date palms produce dates once a year. However, in Thailand, some trees were observed to produce dates during the off-season, despite no variations in morphology. The availability of such off-season fruits can significantly increase their market value. Interestingly, most female off-season date palms investigated in this study were obtained through micropropagation. Hence, there is an urgent need for genetic markers to distinguish female offseason flowering plantlets within tissue culture systems. In this study, we aimed to develop random amplification of polymorphic DNA-sequence characterized amplified region (RAPD-SCAR) markers for the identification of female off-season flowering date palms cultivated in Thailand. A total of 160 random decamer primers were employed to screen for specific RAPD markers in off-season flowering male and female populations. Out of these, only one primer, OPN-02, generated distinct genomic DNA patterns in female off-season flowering (FOFdp) individuals compared to female seasonal flowering genotypes. Based on the RAPD-specific sequence, specific SCAR primers denoted as FOFdpF and FOFdpR were developed. These SCAR primers amplified a single 517-bp DNA fragment, predominantly found in off-season flowering populations, with an accuracy rate of 60%. These findings underscore the potential of SCAR marker technology for tracking offseason flowering in date palms. Notably, a BLAST analysis revealed a substantial similarity between the SCAR marker sequence and the transcript variant mRNA from Phoenix dactylifera encoding the SET DOMAIN GROUP 40 protein. In Arabidopsis, this protein is involved in the epigenetic regulation of flowering time. The genetic potential of the off-season flowering traits warrants further elucidation.