• Title/Summary/Keyword: Artificial Nature

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A Comprehensive Understanding of Model Lipid Membranes: Concepts to Applications

  • Sonam Baghel;Monika Khurana
    • Journal of the Korean Chemical Society
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    • v.67 no.2
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    • pp.89-98
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    • 2023
  • The cell membrane, also known as the biological membrane, surrounds every living cell. The main components of cell membranes are lipids and therefore called as lipid membranes. These membranes are mainly made up of a two-dimensional lipid bilayer along with integral and peripheral proteins. The complex nature of lipid membranes makes it difficult to study and hence artificial lipid membranes are prepared which mimic the original lipid membranes. These artificial lipid membranes are prepared from phospholipid vesicles (liposomes). The liposomes are formed when self-forming phospholipid bilayer comes in contact with water. Liposomes can be unilamellar or multilamellar vesicles which comprises of phospholipids that can be produced naturally or synthetically. The phospholipids are non-toxic, biodegradable and are readily produced on a large scale. These liposomes are mostly used in the drug delivery systems. This paper offers comprehensive literature with insights on developing basic understanding of lipid membranes from its structure, organization, and phase behavior to its potential use in biomedical applications. The progress in the field of artificial membrane models considering methods of preparation of liposomes for mimicking lipid membranes, interactions between the lipid membranes, and characterizing techniques such as UV-visible, FTIR, Calorimetry and X-ray diffraction are explained in a concise manner.

Culture Conditions for Mycelial Growth and Anti-Cancer Properties of Termitomyces

  • Suphachai Tharavecharak;Corina N. D'Alessandro-Gabazza;Masaaki Toda;Taro Yasuma;Taku Tsuyama;Ichiro Kamei;Esteban C. Gabazza
    • Mycobiology
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    • v.51 no.2
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    • pp.94-108
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    • 2023
  • Termitomyces sp. that grow in symbiosis with fungus-farming Termites have medicinal properties. However, they are rare in nature, and their artificial culture is challenging. The expression of AXL receptor tyrosine kinase and immune checkpoint molecules favor the growth of cancer cells. The study evaluated the optimal conditions for the artificial culture of Termitomyces and their inhibitory activity on AXL and immune checkpoint molecules in lung adenocarcinoma and melanoma cell lines. The culture of 45 strains of Termitomyces was compared. Five strains with marked growth rates were selected. Four of the selected strains form a single cluster by sequence analysis. The mycelium of 4 selected strains produces more fungal mass in potato dextrose broth than in a mixed media. The bark was the most appropriate solid substrate for Termitomyces mycelia culture. The mycelium of all five selected strains showed a higher growth rate under normal CO2 conditions. The culture broth, methanol, and ethyl acetate of one selected strain (T-120) inhibited the mRNA relative expression of AXL receptor tyrosine kinase and immune checkpoint molecules in cancer cell lines. Overall, these results suggest the potential usefulness of Termitomyces extracts as a coadjuvant therapy in malignant diseases.

Research on construction simulation technology of civil building structure engineering based on artificial intelligence

  • Zhongkuo Zhang;Jie Ren
    • Advances in nano research
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    • v.16 no.1
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    • pp.71-79
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    • 2024
  • Nanotechnology is the latest technology developed by humanity, trying to use the molecular properties of materials found in nature to create devices that solve the problems plaguing humanity and their efficiency. Man is also trying to change the meaning of molecules to nano so that a body made up of these particles has all the properties of these particles. Nanotechnology is not a new field but a new approach in all areas. A new perspective in concrete technology has been created by the use of nanoparticles in recent years. Adding silica nanoparticles to concrete mixes improves its properties and increases its strength. However, different results and reported mechanisms explain the behavior of nanoparticles in the mixture; Therefore, it took much work to generalize the results and predict the behavior of nano concretes. This article is about the construction simulation technology of civil engineering based on artificial intelligence, which deals with the effect of nanoparticles on improving concrete properties. This was demonstrated by analyzing laboratory samples in various mixture configurations and observing how silica nanoparticles affected their microstructure with scanning electron microscopy (SEM). Based on SEM measurements, silica nanoparticles have a powerful effect because of their specific surface area. Their increase and decrease must be sought in interacting with the filling and nucleation mechanism and the pozzolanic activity. Each of these mechanisms dominates at different ages of hydration and affects the microstructure and mechanical properties of concrete.

Explanable Artificial Intelligence Study based on Blockchain Using Point Cloud (포인트 클라우드를 이용한 블록체인 기반 설명 가능한 인공지능 연구)

  • Hong, Sunghyuck
    • Journal of Convergence for Information Technology
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    • v.11 no.8
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    • pp.36-41
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    • 2021
  • Although the technology for prediction or analysis using artificial intelligence is constantly developing, a black-box problem does not interpret the decision-making process. Therefore, the decision process of the AI model can not be interpreted from the user's point of view, which leads to unreliable results. We investigated the problems of artificial intelligence and explainable artificial intelligence using Blockchain to solve them. Data from the decision-making process of artificial intelligence models, which can be explained with Blockchain, are stored in Blockchain with time stamps, among other things. Blockchain provides anti-counterfeiting of the stored data, and due to the nature of Blockchain, it allows free access to data such as decision processes stored in blocks. The difficulty of creating explainable artificial intelligence models is a large part of the complexity of existing models. Therefore, using the point cloud to increase the efficiency of 3D data processing and the processing procedures will shorten the decision-making process to facilitate an explainable artificial intelligence model. To solve the oracle problem, which may lead to data falsification or corruption when storing data in the Blockchain, a blockchain artificial intelligence problem was solved by proposing a blockchain-based explainable artificial intelligence model that passes through an intermediary in the storage process.

A study of metamaterial transmission line characteristics using CPW structure (CPW 구조를 이용한 metamaterial 전송선로 특성에 관한 연구)

  • Kim, Jin-Su;Hwang, Hee-Yong
    • Journal of Industrial Technology
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    • v.28 no.B
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    • pp.251-255
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    • 2008
  • Metamaterial are artificial structures that can be designed to exhibit specific electromagnetic properties not commonly found in nature. Metamaterial transmission lines are usually fabricated with a microstrip structure and it's equivalent circuit is composed of two series capacitances and a shunt inductance. However microstrip structure need a via hall for realizing a shunt inductance. To eliminate via hall, we proposed a CRLH transmission line using a CPW structure, and obtained equivalent circuit values, line parameters.

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Generation of Simulated Earthquakes and Time-history Dynamic Analysis of Containment Building (지진 데이터 생성 및 격납건물 시간이력 해석)

  • 배용귀;이성로
    • Proceedings of the Korea Concrete Institute Conference
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    • 2003.11a
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    • pp.608-612
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    • 2003
  • In the seismic response analysis, the artificial earthquake time history is generated to do the exact seismic analysis for the complex structural system like as containment building. In the present study the several simulated earthquakes are generated by use of SIMQKE program and the time history dynamic analysis of containment building is performed. Also, the seismic responses are statistically analyzed. The seismic response uncertainty arisen from the simulation of earthquakes is one of major uncertainties and the statistical description is needed to account for the random nature of earthquake.

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Development of Incompressible flow solver based on unstructured FVM (비정렬 유한체적법을 이용한 비압축성 유동해석 코드 개발)

  • Kim Jong-Tae;Kim Yong-Mo;Maeng Joo-Sung
    • 한국전산유체공학회:학술대회논문집
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    • 1996.05a
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    • pp.33-39
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    • 1996
  • An incompressible flow stover based on the unstructured finite volume method has been developed. The flow domain is discretized by triangles in 2D or tetrahedra in 3D. The convective and viscous fluxes are obtained using edge connectivities of the unstructured meshes. The pressure-velocity coupling is handled by the artificial compressibility algorithm due to its computational efficiency associated with the hyperbolic nature of the resulting equations. Laminar test flow problems are computed and presented with a comparison against other numerical solutions or experimental results.

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Analysis of Drought Vulnerable Areas using Neural-Network Algorithm (인공신경망 알고리즘을 활용한 가뭄 취약지역 분석)

  • Shin, Jeong Hoon;Kim, Jun Kyeong;Yeom, Min Kyo;Kim, Jin Pyeong
    • Journal of the Society of Disaster Information
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    • v.17 no.2
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    • pp.329-340
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    • 2021
  • Purpose: In this paper, using artificial neural network algorithm, the Korean Peninsula was analyzed for drought vulnerable areas by predicting weather data changes. Method: Monthly cumulative precipitation data were utilized for research areas considering the specific nature areas, and weather data prediction through artificial neural network algorithm was carried out using statistical program R. The predicted data were applied to the Standardized Precipitation Index (SPI) to analyze drought vulnerable areas in the Korean Peninsula. Result: In this paper, the correlation coefficient values between real and predicted data are found to be 0.043879 higher on average than the regression results, using artificial neural network algorithms. Conclusion: The results of the research are expected to be used as basic research materials for responding to drought.

A Study on Managing the Landscape in Dok-Rak-Dang Garden (독락당 원림 경관조영에 관한 연구)

  • Chung, Yun-Young;Sung, Jong-Sang;Pae, Jeong-Hann
    • Journal of the Korean Institute of Landscape Architecture
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    • v.39 no.1
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    • pp.96-105
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    • 2011
  • This study analyzed literary works and references related to Dok-Rak-Dang(獨樂堂) and the attributes of managing the landscape in Dok-Rak-Dang Garden based on the assumption of position and the spatial structure revealed in the site. Hoe-Jae Lee Eon-Jeok(1491-1553), a distinguished scholar of Neo-Confusionism, built Dok-Rak-Dang and managed the surrounding areas during his retirement years. He called the mountains, stream, and rock along and near the Ja-Ge Stream Four Mountains and Five Platforms(四山五臺). Before he named these, they were not considered special. The Four Mountains which are Do-Duk in north, Mu-Hak in south, Hwa-Gae in east, and Ja-Ok in west enclose Dok-Rak-Dang and the surrounding areas. The Five Platforms, Se-Sim, Gwan-Eo, Yeong-Gue, Jing-Sim, and Tak-Yeong, in order from downstream, are places with beautiful scenery in Ja-Ge Stream. The attributes of managing the landscape in Dok-Rak-Dang Garden are the following: One is the spatial integration of what is natural and artificial as the attitude of aesthetic experience in accord with nature. Another is flexible territorialization as the way of organizing spaces in nature from the experiential aspect. The other is place making of personalized nature through a series of processes such as observing, choosing, and naming landscapes in nature. Four Mountains and Five Platforms function as landscape bases and elements to appreciate nature aesthetically. Those attributes are different from the attitude of constructing spaces. Rather, they originate from the traditional view on the appreciation of nature. Above all, place-making in nature was acquired from designed spatial structure and experiential aesthetic appreciation in the space through observing, choosing, and naming landscapes in nature reflecting creator's own ideological and aesthetic thoughts, and it might be explained as one of practical ways of Korean traditional gardening.

Characteristics of Artificial Soils Produced from Sludge (슬러지를 이용하여 생산한 인공토양의 특성)

  • Yoon, Chun-Gyeong;Kim, Sun-Joo;Kwun, Tae-Young;Lee, Nam-Chool
    • Korean Journal of Environmental Agriculture
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    • v.17 no.3
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    • pp.200-204
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    • 1998
  • Physical and chemical properties of artificial soil produced by firing process were analyzed and compared with normal dry field soil and soil quality standards. Material used for production was water and wastewater treatment sludge, chabizite, and lime. The mixed material was thermally treated in the firing kiln at about $300^{\circ}C$ and $1,000^{\circ}C$, respectively, as per designed process. General properties of the artificial soil were classified as sand by unified soil classification method and similar to the dry-field soil, and even soil conditioning effect were expected when it is mixed properly with normal soil. The artificial soil is high in pH and permeability compared to the dry-field soil. Heavy metal concentrations of the artificial soil met the soil quality standards for the farmland. Overall, the artificial soil was thought to be an appropriate soil which can be returned safely to the nature without significant adverse effect. The cost for the artificial soil production process needs to be lowered for practical application as a sludge treatment, therefore, commercializing of the artificial soil is under review.

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