• Title/Summary/Keyword: 논문 리뷰

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Transcriptional Regulation of Lipogenesis and Adipose Expansion (Lipogenesis와 adipose expansion의 전사조절)

  • Jang, Younghoon
    • Journal of Life Science
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    • v.32 no.4
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    • pp.318-324
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    • 2022
  • PPARγ and C/EBPα are master adipogenic transcription factors (TFs) required for adipose tissue development. They control the induction of many adipocyte genes and the early phase of adipogenesis in the embryonic development of adipose tissue. Adipose tissue continues to expand after birth, which, as a late phase of adipogenesis, requires the lipogenesis of adipocytes. In particular, the liver and adipose tissues are major sites for de novo lipogenesis (DNL), where carbohydrates are primarily converted to fatty acids. Furthermore, fatty acids are esterified with glycerol-3-phosphate to produce triglyceride, a major source of lipid droplets in adipocytes. Hepatic DNL has been actively studied, but the DNL of adipocytes in vivo remains not fully understood. Thus, an understanding of lipogenesis and adipose expansion may provide therapeutic opportunities for obesity, type 2 diabetes, and metabolic diseases. In adipocytes, DNL gene expression is transcriptionally regulated by lipogenesis coactivators, as well as by lipogenic TFs such as ChREBP and SREBP1a. Recent in vivo studies have revealed new insights into the lipogenesis gene expression and adipose expansion. Future detailed molecular mechanism studies will determine how nutrients and metabolism regulate DNL and adipose expansion. This review will summarize recent updates of DNL in adipocytes and adipose expansion in terms of transcriptional regulation.

Direction of Emergency Rescue Education Based on the Experience of New 119 Paramedics for National Health Promotion (국민건강증진을 위한 응급구조학 교육의 나아갈 방향 -신임 119구급대원의 출동경험을 바탕으로-)

  • Kim, Jung-Sun
    • Journal of Korea Entertainment Industry Association
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    • v.15 no.1
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    • pp.207-220
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    • 2021
  • The purpose of the study is to investigate the application and utility of emergency rescue education and derive limitations, improvements and development directions of university education based on the field experience of 119 emergency medical technician(EMT)s. The research subjects were six new 119 emergency medical technician(EMT)s within three years of starting their first-aid service in the field. After conducting in-depth narrative interviews, the analysis was performed using Colaizzi method. The 82 formulated meanings were derived from significant statements. From formulated meanings, 23 themes, 4 theme clusters, 2 categories were identified. The four theme clusters were 'The effectiveness of university education', 'The limitations of university education', 'The direction of improvement in educational methodology' and 'The direction of improvement in educational contents. University education has been helpful overall, but limitations are observed at the same time, suggesting that it should be developed through the improvement of educational methodologies (i.e. problem-based learning, field case review, education through role-playing, simulation education, strengthening skill ect.) and educational content (i.e. training tailored to the field, education focused on trauma or cardiac arrest, expansion of triage education in disaster management, reinforcement of education on-site safety, education on special patients, diverse guidance and faculty for different perspectives).

Systematic Review on Outcome and Trends of Community Care Pilot Project in Korea (국내 지역사회 통합돌봄 선도사업 성과 및 동향에 관한 체계적 문헌고찰)

  • Kim, Kyoung-Beom;Heo, Min-Hee;Jang, Ha-Eun;Noh, Jin-Won;Kim, Jang-Mook
    • Journal of Convergence for Information Technology
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    • v.12 no.5
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    • pp.159-167
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    • 2022
  • At the present time, no systematic review has been conducted to report the project's outcomes or trends. This study systematically reviewed existing evidence related with community care pilot project. A total of 61 articles, including 18 original literatures and 43 review literatures were finally selected. For original literatures, the most frequent literatures focused on demand surveys (n=4) and model proposals (n=4), the utilization of touchpoint (n=3), space design and architectural model (n=3), manpower training and role establishment (n=2), followed by prioritizing objectives (n=1) and research trend study (n=1). For review literatures, the most frequent literature focused on the elderly (n=12) and relatively few literature on the disabled and mental illness (n=2). Since the pilot project for community care has been implemented for only about one year, the present study indicates that more future research is needed to the disabled, mental illness, and homeless should be conducted as well as elderly.

Chemical Prelithiation Toward Lithium-ion Batteries with Higher Energy Density (리튬이온전지 고에너지밀도 구현을 위한 화학적 사전리튬화 기술)

  • Hong, Jihyun
    • Journal of the Korean Electrochemical Society
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    • v.24 no.4
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    • pp.77-92
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    • 2021
  • The energy density of lithium-ion batteries (LIBs) determines the mileage of electric vehicles. For increasing the energy density of LIBs, it is necessary to develop high-capacity active materials that can store more lithium ions within constrained weight. The rapid progress made in cathode technology has realized the utilization of the near-theoretical capacity of cathode materials. In contrast, commercial LIBs have still exploited graphite as active material in anodes since the 1990s. The most promising way to increase anodes' capacity is to mix high-capacity and long-cycle-life silicon oxides (SiOx) with graphite. However, the low initial Coulombic efficiency (ICE) of SiOx limits its content below 15 wt%, impeding the capacity increase in anodes. To address this issue, various prelithiation techniques have been proposed, which can improve the ICE of high-capacity anode materials. In this review paper, we introduce the principles and expected effects of prelithiation techniques reported so far. According to the reaction mechanisms, the strategies are categorized. Mainly, we focus on the recent progress of solution-based chemical prelithiation methods with commercial viability, of which lithiation reaction occurs homogeneously at liquid-solid interfaces. We believe that developing a cost-effective and mass-scalable prelithiation process holds the key to dominating the anode market for next-generation LIBs.

Upper Mantle Heterogeneity Recorded by Microstructures and Fluid Inclusions from Peridotite Xenoliths Beneath the Rio Grande Rift, USA (미국 리오 그란데 리프트 페리도타이트 포획암의 미구조와 유체포유물에 기록된 상부맨틀의 불균질성)

  • Park, Munjae
    • Korean Journal of Mineralogy and Petrology
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    • v.35 no.3
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    • pp.273-281
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    • 2022
  • Mantle heterogeneity is closely related to the distribution and circulation of volatile components in the Earth's interior, and the behavior of volatiles in the mantle strongly influences the rheological properties of silicate rocks. In mantle xenoliths, these physicochemical properties of the upper mantle can be recorded in the form of microstructures and fluid inclusions. In this paper, I summarized and reviewed the results of previous studies related to the characteristics of microstructures and fluid inclusions from peridotite xenoliths beneath the Rio Grande Rift (RGR) in order to understand the evolution and heterogeneity of upper mantle. In the RGR, the mantle peridotites are mainly reported in the rift axis (EB: Elephant Butte, KB: Kilbourne Hole) and rift flank (AD: Adam's Diggings) regions. In the case of the former (EB and KB peridotites), the type-A lattice preferred orientation (LPO), formed under low-stress and low-water content, was reported. In the case of the latter (AD peridotites), the type-C LPO, formed under low-stress and high-water content, was reported. In particular, in the case of AD peridotites, at least two fluid infiltration events, such as early (type-1: CO2-N2) and late (type-2: CO2-H2O), have been recorded in orthopyroxene. The upper mantle heterogeneity recorded by these microstructures and fluid inclusions is considered to be due to the interaction between the North American plate and the Farallon plate.

Biogeochemistry of Methane in Water and Sediment: Methane Generation in Coastal Areas with Bottom Water Hypoxia (메탄의 생지화학적 거동과 한국 연안해역 저(빈)산소 층 발달에 따른 메탄 생성)

  • DONGJOO JOUNG
    • The Sea:JOURNAL OF THE KOREAN SOCIETY OF OCEANOGRAPHY
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    • v.28 no.3
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    • pp.95-120
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    • 2023
  • Methane (CH4) is a key greenhouse gas in the atmosphere with 85 times greater greenhouse potent relative to carbon dioxide (CO2). The atmospheric concentration of CH4 is rapidly increasing due to the intensive usage of CH4 and the thawing of the cryosphere. Additionally, with the current warming of ocean water, the dissociation of gas hydrates, an ice-like compound and the largest reservoir of CH4 on Earth, is expected to occur, resulting in the release of CH4 from the seafloor into the overlying water and atmosphere. Moreover, bottom water hypoxia is another concern that potentially introduces greenhouse gases into the atmosphere. With ongoing global warming and eutrophication, the size and duration of bottom water hypoxia are rapidly increasing. These low-oxygen conditions would relocate the redox zone shallower in sediment or in the water column, causing the release of CH4 into the atmosphere and thereby intensifying global warming. However, there exists a gap in the understanding of CH4 dynamics including its generation in relation to bottom water hypoxia. Therefore, this review article aims to understand the relationship between CH4 and bottom water hypoxia and to draw attention to CH4 investigation in Korea.

Analysis of Research Trends in New Drug Development with Artificial Intelligence Using Text Mining (텍스트 마이닝을 이용한 인공지능 활용 신약 개발 연구 동향 분석)

  • Jae Woo Nam;Young Jun Kim
    • Journal of Life Science
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    • v.33 no.8
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    • pp.663-679
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    • 2023
  • This review analyzes research trends related to new drug development using artificial intelligence from 2010 to 2022. This analysis organized the abstracts of 2,421 studies into a corpus, and words with high frequency and high connection centrality were extracted through preprocessing. The analysis revealed a similar word frequency trend between 2010 and 2019 to that between 2020 and 2022. In terms of the research method, many studies using machine learning were conducted from 2010 to 2020, and since 2021, research using deep learning has been increasing. Through these studies, we investigated the trends in research on artificial intelligence utilization by field and the strengths, problems, and challenges of related research. We found that since 2021, the application of artificial intelligence has been expanding, such as research using artificial intelligence for drug rearrangement, using computers to develop anticancer drugs, and applying artificial intelligence to clinical trials. This article briefly presents the prospects of new drug development research using artificial intelligence. If the reliability and safety of bio and medical data are ensured, and the development of the above artificial intelligence technology continues, it is judged that the direction of new drug development using artificial intelligence will proceed to personalized medicine and precision medicine, so we encourage efforts in that field.

Systemic literature review on the impact of government financial support on innovation in private firms (정부의 기술혁신 재정지원 정책효과에 대한 체계적 문헌연구)

  • Ahn, Joon Mo
    • Journal of Technology Innovation
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    • v.30 no.1
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    • pp.57-104
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    • 2022
  • The government has supported the innovation of private firms by intervening the market for various purposes, such as preventing market failure, alleviating information asymmetry, and allocating resources efficiently. Although the government's R&D budget increased rapidly in the 2000s, it is not clear whether the government intervention has made desirable impact on the market. To address this, the current study attempts to explore this issue by doing a systematic literature review on foreign and domestic papers in an integrated way. In total, 168 studies are analyzed using contents analysis approach and various lens, such as policy additionality, policy tools, firm size, unit of analysis, data and method, are adopted for analysis. Overlapping policy target, time lag between government intervention and policy effects, non-linearity of financial supports, interference between different polices, and out-dated R&D tax incentive system are reported as factors hampering the effect of the government intervention. Many policy prescriptions, such as program evaluation indices reflecting behavioral additionality, an introduction of policy mix and evidence-based policy using machine learning, are suggested to improve these hurdles.

A Review of Quantitative Landslide Susceptibility Analysis Methods Using Physically Based Modelling (물리사면모델을 활용한 정량적 산사태 취약성 분석기법 리뷰)

  • Park, Hyuck-Jin;Lee, Jung-Hyun
    • The Journal of Engineering Geology
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    • v.32 no.1
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    • pp.27-40
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    • 2022
  • Every year landslides cause serious casualties and property damages around the world. As the accurate prediction of landslides is important to reduce the fatalities and economic losses, various approaches have been developed to predict them. Prediction methods can be divided into landslide susceptibility analysis, landslide hazard analysis and landslide risk analysis according to the type of the conditioning factors, the predicted level of the landslide dangers, and whether the expected consequence cased by landslides were considered. Landslide susceptibility analyses are mainly based on the available landslide data and consequently, they predict the likelihood of landslide occurrence by considering factors that can induce landslides and analyzing the spatial distribution of these factors. Various qualitative and quantitative analysis techniques have been applied to landslide susceptibility analysis. Recently, quantitative susceptibility analyses have predominantly employed the physically based model due to high predictive capacity. This is because the physically based approaches use physical slope model to analyze slope stability regardless of prior landslide occurrence. This approach can also reproduce the physical processes governing landslide occurrence. This review examines physically based landslide susceptibility analysis approaches.

Battery Module Bonding Technology for Electric Vehicles (전기자동차 배터리 모듈 접합 기술 리뷰)

  • Junghwan Bang;Shin-Il Kim;Yun-Chan Kim;Dong-Yurl Yu;Dongjin Kim;Tae-Ik Lee;Min-Su Kim;Jiyong Park
    • Journal of the Microelectronics and Packaging Society
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    • v.30 no.2
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    • pp.33-42
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    • 2023
  • Throughout all industries, eco-friendliness is being promoted worldwide with focus on suppressing the environmental impact. With recent international environment policies and regulations supported by government, the electric vehicles demand is expected to increase rapidly. Battery system itself perform an essential role in EVs technology that is arranged in cells, modules, and packs, and each of them are connected mechanically and electrically. A multifaceted approach is necessary for battery pack bonding technologies. In this paper, pros and cons of applicable bonding technologies, such as resistance welding, laser and ultrasonic bonding used in constructing electric vehicle battery packs were compared. Each bonding technique has different advantages and limitations. Therefore, several criteria must be considered when determining which bonding technology is suitable for a battery cell. In particular, the shape and production scale of battery cells are seen as important factors in selecting a bonding method. While dealing with the types and components of battery cells, package bonding technologies and general issues, we will review suitable bonding technologies and suggest future directions.