• Journal of Applied Biological Chemistry
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• 제64권2호
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• pp.127-131
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• 2021

Perilla frutescens var. crispa (Pfc), a herb belonging to the mint family (Lamiaceae), has been used for medicinal and aromatic purposes. In the present study, we analyzed the variation in the chemical composition of essential oils (EOs) obtained from five different genotypes of Pfc collected from different regions. Based on principal component analysis (PCA) and hierarchical cluster analysis (HCA), we identified three groups: PA type containing perillaldehyde, PP type containing dillapiole, and 2-acetylfuran type. To assess the correlation between EO components and antimicrobial activities, we compared classification results generated by PCA and HCA based on antimicrobial activity values. The findings suggested that the major compounds obtained from EOs of Pfc are responsible for their antimicrobial activities. Chemotypes of Pfc plants are essentially qualitative traits that are important for breeders. The present findings provide potential information for breeding Pfc as an antimicrobial agent.

• 보건행정학회지
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• 제32권1호
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• pp.113-121
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• 2022

This study aims to compare the healthcare status of South Korea and other member of the Organization for Economic Cooperation and Development (OECD) using the OECD health statistics 2021. We used the position value for relative comparison (PARC) index to measure the five elements of the healthcare system, demand, supply, accessibility, quality, and cost. For the statistical analysis, Mann-Kendall test was performed to examine the trend of the PARC values from 2000 to the most recent year. The results showed that supply, demand, accessibility, and quality were above median than the OECD median and the cost was below median. In sectors such as primary care, health employment and mental health care were below median average. With these result, necessary steps for a sustainable healthcare should be taken into effort by policy makers.

• Journal of Microbiology and Biotechnology
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• 제32권10호
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• pp.1299-1306
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• 2022

Six ansamycin derivatives were isolated from the culture broth of Streptomyces sp. KCB17JA11, including four new hygrolansamycins A-D (1-4) and known congeners divergolide O (5) and hygrocin C (6). Compounds 1-5 featured an unusual six-membered O-heterocyclic moiety. The isolation workflow was guided by a Molecular Networking-based dereplication strategy. The structures of 1-4 were elucidated using NMR and HRESIMS experiments, and the absolute configuration was established by the Mosher's method. Compound 2 exhibited mild cytotoxicity against five cancer cell lines with IC₅₀ values ranging from 24.60 ± 3.37 µM to 49.93 ± 4.52 µM.

• Nuclear Engineering and Technology
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• 제54권10호
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• pp.3864-3877
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• 2022

We propose a new approach called PESA (Prioritized replay Evolutionary and Swarm Algorithms) combining prioritized replay of reinforcement learning with hybrid evolutionary algorithms. PESA hybridizes different evolutionary and swarm algorithms such as particle swarm optimization, evolution strategies, simulated annealing, and differential evolution, with a modular approach to account for other algorithms. PESA hybridizes three algorithms by storing their solutions in a shared replay memory, then applying prioritized replay to redistribute data between the integral algorithms in frequent form based on their fitness and priority values, which significantly enhances sample diversity and algorithm exploration. Additionally, greedy replay is used implicitly to improve PESA exploitation close to the end of evolution. PESA features in balancing exploration and exploitation during search and the parallel computing result in an agnostic excellent performance over a wide range of experiments and problems presented in this work. PESA also shows very good scalability with number of processors in solving an expensive problem of optimizing nuclear fuel in nuclear power plants. PESA's competitive performance and modularity over all experiments allow it to join the family of evolutionary algorithms as a new hybrid algorithm; unleashing the power of parallel computing for expensive optimization.

• Molecules and Cells
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• 제45권9호
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• pp.631-639
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• 2022

Breast cancer is the leading cause of cancer-related death in women worldwide, despite medical and technological advancements. The RhoBTB family consists of three isoforms: RhoBTB1, RhoBTB2, and RhoBTB3. RhoBTB1 and RhoBTB2 have been proposed as tumor suppressors in breast cancer. However, the roles of RhoBTB3 proteins are unknown in breast cancer. Bioinformatics analysis, including Oncomine, cBioportal, was used to evaluate the potential functions and prognostic values of RhoBTB3 and Col1a1 in breast cancer. qRT-PCR analysis and immunoblotting assay were performed to investigate relevant expression. Functional experiments including proliferation assay, invasion assay, and flow cytometry assay were conducted to determine the role of RhoBTB3 and Col1a1 in breast cancer cells. RhoBTB3 mRNA levels were significantly up-regulated in breast cancer tissues as compared to in adjacent normal tissues. Moreover, RhoBTB3 expression was found to be associated with Col1a1 expression. Decreasing RhoBTB3 expression may lead to decreases in the proliferative and invasive properties of breast cancer cells. Further, Col1a1 knockdown in breast cancer cells limited the proliferative and invasive ability of cancer cells. Knockdown of RhoBTB3 may exert inhibit the proliferation, migration, and metastasis of breast cancer cells by repressing the expression of Col1a1, providing a novel therapeutic strategy for treating breast cancer.

• Human Ecology Research
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• 제59권2호
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• pp.245-259
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• 2021

The purpose of this study was to analyze big data to identify the sub-dimensions of ethical consumption, as well as the consumption value associated with ethical consumption that changes over time. For this study, data were collected from Naver and Daum using the keyword 'ethical consumption' and frequency and matrix data were extracted through Textom, for the period January 1, 2016, to December 31, 2018. In addition, a two-way mode network analysis was conducted using the UCINET 6.0 program and visualized using the NetDraw function. The results of text mining show increasing keyword frequency year-on-year, indicating that interest in ethical consumption has grown. The sub-dimensions derived for 2014 and 2015 are fair trade, ethical consumption, eco-friendly products, and cooperatives and for 2016 are fair trade, ethical consumption, eco-friendly products and animal welfare. The results of deriving consumption value keywords were classified as emotional value, social value, functional value and conditional value. The influence of functional value was found to be growing over time. Through network analysis, the relationship between the sub-dimensions of ethical consumption and consumption values derived each year from 2014 to 2018 showed a significantly strong correlation between eco-friendly product consumption and emotional value, social value, functional value and conditional value.

• Journal of Platform Technology
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• 제11권1호
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• pp.60-71
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• 2023

전세계적으로 반려인이 꾸준히 증가하고 있고, 반려동물에 대한 사회적 인식이 '가족'의 일원으로 변하면서 반려동물 산업도 다양한 방식으로 발전 및 성장하고 있다. 반려동물은 건강에 문제가 있어도 표현할 수 없어 질병이 악화하는 경우가 많아 IoT 기술을 활용해 건강 변화를 조기에 확인할 수 있는 펫테크 헬스케어시장도 주목받고 있다. 본 연구에서는 반려동물 헬스케어 시장에 대한 조사 및 선행연구를 분석하여 확대되는 반려동물 헬스케어 시장에 서비스디자인이 이러한 문제 인식을 바탕으로 반려동물 헬스케어 시장에서 중요한 동물 검체 운반 서비스 개발에 관여하여 콜드체인 서비스 시장을 활성화할 수 있고, 향후 확장된 반려동물 헬스케어 시장에서 반려인, 반려동물, 동물병원 등의 다양한 이해 관계자가 모두 만족할 수 있는 솔루션 개발에 방향을 제시하고자 한다.

• Nuclear Engineering and Technology
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• 제54권12호
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• pp.4601-4619
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• 2022

The classical Probabilistic Safety Analysis (PSA) does not include any time dependence explicitly. However, the success criteria (SC) could evolve during the cycle for some initiating events. In that sense, there is a type of sequence in which this time-dependency is quite important, the family of Anticipated Transient without Scram (ATWS) sequences in Pressurized Water Reactors. Therefore, a new risk-informed approach is proposed in this paper, which makes it possible to obtain the time-dependent SC evolution of the safety functions affected by the Moderator Temperature Coefficient (MTC) value. Then, the evolution of the ATWS conditional core damage probability (CCDP) could be obtained using a PSA model. To quantify the CCDP, the average values of the time-dependent failure probabilities must be computed. Finally, the comparison between the CCDP obtained through the application of the classical PSA approach and the new one makes it possible to quantify the impact of time-dependence on the SC of the headers that this new risk-informed ATWS approach can provide.

• 한국의류학회지
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• 제47권6호
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• pp.1113-1136
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• 2023

With increasing interest in sustainability, several fashion and beauty brands have developed and offered unique types of sustainable packaging in their stores (e.g., 'knot-wrap,' 'seaweed-based' packaging). The purpose of this study was to investigate the perceived value (i.e., green, aesthetic, functional, emotional, social, self-expression) of unique types of sustainable packaging and its impact on consumers' packaging evaluation, store evaluation, and store patronage intentions in the context of a fashion retail store. This study also assessed the moderating effects of consumer innovativeness and environmental concern. Data were collected from 210 US consumers aged 18 to 26 years through Amazon MTurk. The results of structural equation modeling revealed that green, emotional, self-expression, functional, and aesthetic values perceived from unique types of sustainable packaging had significant positive impacts on packaging evaluation. Packaging evaluation, in turn, positively impacted store evaluation, subsequently influencing store patronage intentions. Consumer innovativeness and environmental concern moderated several paths between the variables. This study adds to the existing literature on sustainable packaging by investigating consumer responses to sustainable packaging that incorporates the 'uniqueness' aspect. Managerial implications regarding the importance of developing and offering unique types of sustainable packaging for fashion brands in their retail stores are discussed.

• Journal of Genetic Medicine
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• 제20권2호
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• pp.31-38
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• 2023

Rare diseases, even though defined as fewer than 20,000 in South Korea, with over 8,000 rare Mendelian disorders having been identified, they collectively impact 6-8% of the global population. Many of the rare diseases pose significant challenges to patients, patients' families, and the healthcare system. The diagnostic journey for rare disease patients is often lengthy and arduous, hampered by the genetic diversity and phenotypic complexity of these conditions. With the advent of next-generation sequencing technology and clinical implementation of exome sequencing (ES) and genome sequencing (GS), the diagnostic rate for rare diseases is 25-50% depending on the disease category. It is also allowing more rapid new gene-disease association discovery and equipping us to practice precision medicine by offering tailored medical management plans, early intervention, family planning options. However, a substantial number of patients remain undiagnosed, and it could be due to several factors. Some may not have genetic disorders. Some may have disease-causing variants that are not detectable or interpretable by ES and GS. It's also possible that some patient might have a disease-causing variant in a gene that hasn't yet been linked to a disease. For patients who remain undiagnosed, reanalysis of existing data has shown promises in providing new molecular diagnoses achieved by new gene-disease associations, new variant discovery, and variant reclassification, leading to a 5-10% increase in the diagnostic rate. More advanced approach such as long-read sequencing, transcriptome sequencing and integration of multi-omics data may provide potential values in uncovering elusive genetic causes.