• IMMUNE NETWORK
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• v.11 no.1
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• pp.11-41
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• 2011

The discovery of microRNA (miRNA) is one of the major scientific breakthroughs in recent years and has revolutionized current cell biology and medical science. miRNAs are small (19~25nt) noncoding RNA molecules that post-transcriptionally regulate gene expression by targeting the 3' untranslated region (3'UTR) of specific messenger RNAs (mRNAs) for degradation of translation repression. Genetic ablation of the miRNA machinery, as well as loss or degradation of certain individual miRNAs, severely compromises immune development and response, and can lead to immune disorders. Several sophisticated regulatory mechanisms are used to maintain immune homeostasis. Regulatory T (Treg) cells are essential for maintaining peripheral tolerance, preventing autoimmune diseases and limiting chronic inflammatory diseases. Recent publications have provided compelling evidence that miRNAs are highly expressed in Treg cells, that the expression of Foxp3 is controlled by miRNAs and that a range of miRNAs are involved in the regulation of immunity. A large number of studies have reported links between alterations of miRNA homeostasis and pathological conditions such as cancer, cardiovascular disease and diabetes, as well as psychiatric and neurological diseases. Although it is still unclear how miRNA controls Treg cell development and function, recent studies certainly indicate that this topic will be the subject of further research. The specific circulating miRNA species may also be useful for the diagnosis, classification, prognosis of diseases and prediction of the therapeutic response. An explosive literature has focussed on the role of miRNA. In this review, I briefly summarize the current studies about the role of miRNAs in Treg cells and in the regulation of the innate and adaptive immune response. I also review the explosive current studies about clinical application of miRNA.

• The Journal of Korean Institute of Electromagnetic Engineering and Science
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• v.13 no.2
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• pp.176-187
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• 2002

The digital Audio Broadcasting (DAB) system adopts Coded OFDM(COFDM) for channel coding. The COFDM is a combined technique of multicarrier transmission(OFDM) and punctured convolutional coding with viterbi error correction. Because the channel coding is an important topic for OFDM systems, this paper proposes a new turbo coded OFDM system that replaces the existing RCPC codec by a turbo codec without modifying the puncturing procedure and puncturing vectors defined in the standard DAB system for compatibility. The performance of a new system is compared to that of the conventional system under the frequency selective Rician fading channel and the frequency selective Rayleigh fading channel in conjunction with DAB transmission mode I suitable for the terrestrial single frequency network(SFN) broadcasting. The standard system's performance was improved with the aid of turbo codec.

• Journal of Korean Academy of Nursing
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• v.9 no.2
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• pp.1-6
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• 1979

The topic I have chosen for presentation to you today is entitled, the theory of change in nursing practice or to put it into simpler words. How do new ideas in nursing get started - Where do they come from\ulcorner - How are these ideas spread through the social system of nurses\ulcorner - What makes some Directors of Nursing more ready to accept change than others\ulcorner What factors in-fluence than to introduce change\ulcorner The process of change has been the subject of considerable research in such diverse disciplines and fields as anthropology and rural sociology, marketing and, also, education, for many years. The studies are called“diffusion”studies, or sometimes“adoption”studies, or“adoption of innovation”studies. They deal specifically with the transmission of innovations to members of a social system, and are considered a subset of research in the general field of communication, Although a number of studies have been undertaken in medicine, and, in the past decade, numerous ones in education, there have been few studies on the process of change in nursing. Yet, nursing has undergone tremendous changes in the past 10 years - the nursing process has been introduced, there is the expanded role of the nurse which is rapidly becoming a regular mode of practice - and many, many more changes, We seem to be always running to try. to keep up with changes that have already taken place. Yet little is known about known about the process of change itself - how practitioners learn about new ideas and techniques, or about the factors which influence nurses to accept some changes and reject others. The purpose of the study I am about. to describe was to analyze the process of change as it functioned in regard to nursing innovations in a selected segment of Canadian hospitals, and to relate the analysis to general research and theory about information transmission and the acceptance of change. Three aspects of the process were investigated : 1. The flow of information about changes in nursing practice through a network of hospitals. 2. Factors influencing the adoption of changes in nursing practice. 3. Factors influencing delay in the adoption process, the rejection of changes, or their discontinuance following adoption.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2017.10a
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• pp.140-141
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• 2017

Big data analysis, in the large amount of data stored as the data warehouse which it refers the process of discovering meaningful new correlations, patterns, trends and creating new values. Thus, Big data analysis is an effective analysis of various big data that exist all over the world such as social big data, machine to machine (M2M) sensor data, and corporate customer relationship management data. In the big data era, it has become more important to effectively analyze not only structured data that is well organized in the database, but also unstructured big data such as the internet, social network services, and explosively generated web documents, e-mails, and social data in mobile environments. By the way, a meta analysis refers to a statistical literature synthesis method from the quantitative results of many known empirical studies. We reviewed a total of 750 samples among 50 studies published on the topic related as IDT between 2000 and 2017 in Korea.

• International Journal of Highway Engineering
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• v.12 no.4
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• pp.11-16
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• 2010

Various researches have been performed on the topic of pedestrian traffic flow. At the beginning, the modeling and simulation method for the vehicular traffic flow was simply applied to pedestrian traffic flow. Recently, CA based simulation models are frequently applied to pedestrian flow analysis. Initially, the square Lattice Model is a base model for applying to pedestrians of counterflow and then Hexagonal Lattice Model improves its network as a hexagonal cell for more realistic movement of the avoidance of pedestrian conflicts. However these lattice models express only one directional movement because they express only one directional movement. In this paper, MLPM (the Multi-Layer Pedestrian Model) is suggested to give various origins and destinations for more realistic pedestrian motion in some place.

• Korean Journal of Remote Sensing
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• v.22 no.1
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• pp.49-61
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• 2006

The lifting scheme has been found to be a flexible method for constructing scalar wavelets with desirable properties. In this paper, it is extended to the UDAR data compression. A newly developed data compression approach to approximate the UDAR surface with a series of non-overlapping triangles has been presented. Generally a Triangulated Irregular Networks (TIN) are the most common form of digital surface model that consists of elevation values with x, y coordinates that make up triangles. But over the years the TIN data representation has become an important research topic for many researchers due its large data size. Compression of TIN is needed for efficient management of large data and good surface visualization. This approach covers following steps: First, by using a Delaunay triangulation, an efficient algorithm is developed to generate TIN, which forms the terrain from an arbitrary set of data. A new interpolation wavelet filter for TIN has been applied in two steps, namely splitting and elevation. In the splitting step, a triangle has been divided into several sub-triangles and the elevation step has been used to 'modify' the point values (point coordinates for geometry) after the splitting. Then, this data set is compressed at the desired locations by using second generation wavelets. The quality of geographical surface representation after using proposed technique is compared with the original UDAR data. The results show that this method can be used for significant reduction of data set.

• Nano
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• v.13 no.10
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• pp.1850113.1-1850113.11
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• 2018

Environmental and energy issues have always been a hot topic of global research. Oil leakage has caused great damage to the environment, affecting a wide area and it is difficult to clean up. In most cases, carbon-based adsorbents are typically utilized to remove oil spills because of their economic benefits and high adsorbent efficiency. At the same time, its excellent material properties can also be used for the preparation of supercapacitors. In this paper, the carbon aerogels were prepared by the one-step method. The prepared materials endowed a 3D network structure with a huge number of micropores and mesoporous, and the material is light-weight, stable, hydrophobic and has affinity for oil (17.02 g/g) to the KGM carbon aerogel. Through the physicchemical characterization, the KGM carbon aerogel shows specific surface area is $689m^2/g$, high water contact angle ($136.64^{\circ}$) and excellent reusability (more than 15 cycle times). In addition, we also discussed the electrochemical properties of the material and obtained the specific electrical capacity of 139 F/g under the condition of 1 A/g.

• Journal of Korean Library and Information Science Society
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• v.49 no.4
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• pp.119-145
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• 2018

The purpose of this study is to select a specialized topic that meets the needs of the local contents and the local people, based on this, the study develops practical guidelines for operating specialized libraries. For this purpose, forty-three libraries in domestic and foreign were selected to derive their implications by surveying the specialized libraries building process, regional characteristics, specialized books, budget, personnel, network, facilities, environment, programs, and publicity. Based on the suggestions reached, we proposed four stages of operation guidelines: the preparation stage for establishing a system to support specialized services and selecting regional specific topics, the stage for the establishment of the library environment in order to serve the selected specialized subjects, the operational stage of planning and providing information complex cultural services related to specialized subjects, and the diffusion stage that communicates with external institutions of the library for upgrading and expanding services.

• (The) Korean Journal of Advertising
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• v.28 no.3
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• pp.53-81
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• 2017

As online video advertising market grows, viral advertising is drawing attention. This study investigated factors influencing consumer's sharing intent of viral advertising each from four dimensions which are content, sender, consumer, and network. As a result, factors of persuasive intent, brand-ad image fit, perceived self-presentation, and bridging social capital were found to affect consumer's sharing intent of viral advertising. And persuasive intent of content was found to be negatively affect consumer's sharing intent. Social value and bonding social capital were not found to have significant influence on consumer's sharing intent of viral advertising. From the analysis of this result, this study suggested future research topic and academic/practical implications.

• Journal of the Korea Society of Computer and Information
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• v.25 no.12
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• pp.261-270
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• 2020

In this study, we identify promising technologies for Piggyback transportation system by analyzing the relevant patent information. In order for this, we first develop the patent database by extracting relevant technology keywords from the pioneering research papers for the Piggyback flactcar system. We then employed textmining to identify the frequently referred words from the patent database, and using these words, we applied the LDA (Latent Dirichlet Allocation) algorithm in order to identify "topics" that are corresponding to "key" technologies for the Piggyback system. Finally, we employ the ARIMA model to forecast the trends of these "key" technologies for technology forecasting, and identify the promising technologies for the Piggyback system. with keyword search method the patent analysis. The results show that data-driven integrated management system, operation planning system and special cargo (especially fluid and gas) handling/storage technologies are identified to be the "key" promising technolgies for the future of the Piggyback system, and data reception/analysis techniques must be developed in order to improve the system performance. The proposed procedure and analysis method provides useful insights to develop the R&D strategy and the technology roadmap for the Piggyback system.