• Korean Journal of Agricultural Science
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• v.38 no.4
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• pp.723-730
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• 2011

To search for the new development of industrial application of woody plants, the chemical composition of the volatile constituents from woody plants (Evodia daniellii, Clerodendron trichotomum, Prunus padus, and Zanthoxylum ailanthoides) was determined by GC and GC/MS spectrometric analysis with the aid of NBS, Wiley Library and RI indice searches. The major constituents were t-ocimene from the leaves of E. daniellii, linalool from the leaves of C. trichotomum, benzaldehyde from the leaves and twigs of P. padus, ${\beta}$-thujene from the leaves of Z. ailanthoides, and 2-undecanone from the stems of Z. ailanthoides. These results suggested that the major volatile constituents of woody plants could be a useful lead compound in the development of functional materials for industrial application.

• Proceedings of the Korean Society of Sericultural Science Conference
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• 2003.10a
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• pp.155-156
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• 2003

The Coleoptera is one of the most species-rich order of animals, adapted to most terrestrial and freshwater aquatic habitats. Among them, the mulberry longicom beetle, Apriona germari Hope, is widely distributed in eastern Asia and became one of the major pests of mulberry tree in Korea. To obtain genetic information on the mulberry longicorm beetle, we have constructed cDNA library from the larvae whole-body. Here, we report Apriona germari ESTs profiles determined the 5'most end of 3072 clones. (omitted)

• Journal of the Korean Society for Library and Information Science
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• v.48 no.3
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• pp.137-168
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• 2014

This study proposed to seek the future development direction of policy information service in Korea by identifying users' needs for policy information and analyzing policy information users' behavior. For this purpose, we analyzed policy information users' needs and behavior through survey and interview methods, and the results are as follows. First, the most common purpose of policy information use was figuring out policy trends, and the Internet was the most common search method used in investigating policy information. Second, electronic resources showed a high rate of use, but the domestic material utilization ratio was higher, and the U.S. resources usage of overseas data was the highest. Third, users most often used materials produced within the last 2-5 years, and Web DB (journals, academic articles, etc.) and reports were the most used material types. Fourth, in the survey of opinion about methods for improving policy information utilization efficiency, cooperation between government agencies' libraries, cooperation between agencies producing the policy information resources, and the overall national collection of policy information were rated the highest.

• Proceedings of the PSK Conference
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• 2003.04a
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• pp.300.3-301
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• 2003

The activation of the hepatic stellate cell (HSC) is a key step in liver fibrogenesis. Utilizing large scale sequencing of a 3' -directed cDNA library, we investigated expression profiles of quiescent and activated rat HSCs. During the activation process, O-acetyl disialoganglioside synthase (OAcGD3S) was identified as one of the significant upregulated factors. Upregulation of OAcGD3S in cultured HSCs was confirmed by both northern and western blot analyses. (omitted)

• Journal of information and communication convergence engineering
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• v.15 no.3
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• pp.165-169
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• 2017

Altmetrics is an emergent research area whereby social media is applied as a source of metrics to evaluate scientific impact. Recently, the interest in altmetrics has been growing. Traditional scientific impact evaluation indictors are based on the number of publications, citation counts and peer reviews of a researcher. As research publications were increasingly placed online, usage metrics as well as webometrics appeared. This paper explores the potential benefits of altmetrics and the deep relationship between each metrics. Firstly, we found a weak-to-medium correlation among the 11 altmetrics and visualized such correlation. Secondly, we conducted principal component analysis and exploratory factor analysis on altmetrics of social media, divided the 11 altmetrics into four feature sets, confirming the dispersion and relative concentration of altmetrics groups and developed the altmetrics evaluation model. We can use this model to evaluate the scientific impact of articles on social media.

• Journal of Korean Medicine Rehabilitation
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• v.25 no.4
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• pp.65-74
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• 2015

Objectives The purpose of this study is to describe the origin of Wuqinxi and transition to various forms. Also evaluating the feasibility of Wuqinxi as a modern medical exercise. Methods For collecting data, various documents came from China, Taiwan, and Korea. Also we searched Pubmed, KISS, NDSL and National assembly library using "Wuqinxi (오금희)" for clinical trials. Results In this study, Chinese Wuqinxi can be divided into 10 forms, 15 forms, 18 forms, 20 forms, 30 forms and 40 forms while Taiwanese Wuqinxi can be divided into classic form (125 forms) and short form (84 forms). Also we found some evidence that Wuqinxi played a certain role for health promotion. Conclusions These days Wuqinxi has a 8 different major forms and some of the exercises can be used as a preventive medical exercise to promote health for people.

• Journal of information and communication convergence engineering
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• v.15 no.3
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• pp.170-174
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• 2017

Nowadays, people share and discuss scientific papers on social media such as the Web 2.0, big data, online forums, blogs, Twitter, Facebook and scholar community, etc. In addition to a variety of metrics such as numbers of citation, download, recommendation, etc., paper review text is also one of the effective resources for the study of scientific impact. The social media tools improve the research process: recording a series online scholarly behaviors. This paper aims to research the huge amount of paper reviews which have generated in the social media platforms to explore the implicit information about research papers. We implemented and shown the result of text mining on review texts using R language. And we found that Zika virus was the research hotspot and association research methods were widely used in 2016. We also mined the news review about one paper and derived the public opinion.

• Journal of the Korean Society for Library and Information Science
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• v.53 no.4
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• pp.341-359
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• 2019

To improve research productivity, it is important to acquire up-to-date information quickly. To this end, researchers seek information resources through various channels and methods and utilize them in their research and development processes. The Korea Institute of Science and Technology Information (KISTI) has developed a platform for integrated scientific and scientific information service called ScienceOn to provide specialized information, infrastructure resources, industry and technology analysis resources in one place to support the research and information ecosystem. Through this process, accessibility and usability are enhanced through the connection and convergence of various information and services. In this study, we look at recent R&D trends in scientific technology academic information integration services and recommended packaging services that can be utilized in batches according to the purpose of use. We look forward to improving national R&D productivity by strengthening the linkage and convergence of scientific and technological information.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.40 no.6
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• pp.563-569
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• 2020

Presenting the impact of meteorological disasters departs from the traditional weather forecasting approach for meteorological phenomena. It is important to provide impact forecasts so that precautions against disruption and damage can be taken. Countries such as the United States, the U.K., and France already conduct impact forecasting for heavy rain, heavy snow, and cold weather. This study improves and applies forecasts of the impact of heavy rain among various weather phenomena in accordance with domestic conditions. A total of 33 impact factors for heavy rain were constructed per 1 km grids, and four impact levels (minimal, minor, significant, and severe) were calculated using standard normal distribution. Estimated criteria were used as indicators to estimate heavy rain risk impacts for 6 categories (residential, commercial, utility, community, agriculture, and transport) centered on people, facilities, and traffic.

• Journal of the Korea Society of Computer and Information
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• v.21 no.4
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• pp.1-8
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• 2016

In small embedded systems including IoT devices, memory size is very small and it is important to reduce memory amount for execution of application programs. For multi-threaded applications, stack may consume a large amount of memory because each thread has its own stack of sufficiently large size for worst case. This paper presents an implementation of single stack multi-threading, called SSThread (Single Stack Thread), by sharing a stack for all threads to reduce stack memory size. By using SSThread, multi-threaded applications can be programmed based on normal C language environment and there is no requirement of transporting multi-threading operating systems. It consists of several library functions and various C macro definitions. Even though some functional restrictions in comparison to operating systems supporting complete multi-thread functionalities, it is very useful for small embedded systems with tiny memory size and it is simple to setup programming environment for multi-thread applications.