• (The)Study of the Eastern Classic
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• no.54
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• pp.155-182
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• 2014

This study aimed to find the possibility of interactions between the Doctrine of the Mean and evolutionary biology. Between the two disciplines, there exists a huge gap such as "traditional era vs. modern times" and "humanities vs. natural science." However, this paper assumed that an analysis of their similarities and differences would allow us to find the possibility for them to interact and communicate with each other. For this purpose, the author proposed a three-step approach to studies of the following topics: human nature in step 1, validity of reasons to live in step 2 and biologically affinitive relations in step 3. The present study in step 1 pays attention to the similarities and differences between genes and in-ui-ye-ji (a set of four Confucian values: benevolence, righteousness, propriety and wisdom). This step discusses the issues of ri (principle) and ki (generative force) in Zhu Xi's theory vs. genes and vehicles in evolutionary biology, innate goodness vs. altruism of genes and in-ui-ye-ji vs. epigenetic rules. In step 2, attention is paid to the similarities and differences between natural selection and shi zhong (時中). They are discussed in terms of the upset of the law of nature vs. mutation, changes vs. evolutions and shi zhong vs. natural selection/adaptation. Step 3 focuses on the similarities and differences between species diversity and li-yi-fen-shu (one li and its many aspects). The discussion in this step addresses the issues of part or whole vs. li-yi-fen-shu, biological affinity vs. single energy and ecosystem vs. "the earth moves orderly, and everything thereon flourishes." If these studies are conducted as planned, a new direction can be set for Zhu Xi's neo-Confucianism. Further, the interaction between humanities and natural science will pave the way for us to overcome asymmetry between different disciplines.

• Smart Media Journal
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• v.12 no.11
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• pp.27-35
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• 2023

Fourth Industrial Revolution and COVID-19 pandemic have boosted the use of Government 24 app for public service complaints in the era of non-face-to-face interactions. there has been a growing influx of complaints and improvement demands from users of public apps. Furthermore, systematic management of public apps is deemed necessary. The aim of this study is to analyze the grievances of Government 24 app users, understand the current dissatisfaction among citizens, and propose potential improvements. Data were collected from the Google Play Store from May 2, 2013, to June 30, 2023, comprising a total of 6,344 records. Among these, 1,199 records with a rating of 1 and at least one 'thumbs-up' were used for topic modeling analysis. The analysis revealed seven topics: 'Issues with certificate issuance,' 'Website functionality and UI problems,' 'User ID-related issues,' 'Update problems,' 'Government employee app management issues,' 'Budget wastage concerns ((It's not worth even a single star) or (It's a waste of taxpayers' money)),' and 'Password-related problems.' Furthermore, the overall trend of these topics showed an increase until 2021, a slight decrease in 2022, but a resurgence in 2023, underscoring the urgency of updates and management. We hope that the results of this study will contribute to the development and management of public apps that satisfy citizens in the future.

• Journal of the Korean Chemical Society
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• v.34 no.4
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• pp.331-339
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• 1990

It has been studied that relations between electronic structure and anti-tumor activity by variation of amine group in cis-diamminedichloroplatinum (Ⅱ) complexes. We were also interested in these Pt (Ⅱ) complexes interaction with 1-methylcytosine of DNA base and the electronic structure of these complexes in order to understand the mechanism of the metal-nucleobases interaction. The results showed that net charge of center metal in Pt complexes effect anti-tumor activity. The mechanisgm of the bonding between metal and ligands largely based on charge transfer from ligand to metal atom. Furthermore, the established molecular orbitals showed that metal 6p-orbitals played an important role in the bonding scheme for the interactions between platinum (Ⅱ) complexes and 1-methylcytosine. We also found that the stronger Pt-N3 bonding strength became, the better anti-tumor agents were.

• Journal of the Korean Chemical Society
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• v.37 no.1
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• pp.22-35
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• 1993

The transport phenomena of the free amino acids through poly(hydroxyethyl methacrylate)[P(HEMA)] have been investigated with and without various kinds of surfactants solution and in the mixed surfactants solution. Glutamine has the highest diffusivity among 4 amino acids at 1CMC of cetyldimethylethylammonium bromide(CTABr) surfactant. Glutamic acid is not affected by the concentration of CTABr. Methionine and Lysine shows slight decreased diffusivity at 0.5 CMC, but increase its diffusivity at 1CMC and 2CMC due to the structure change of membrane and the viscosity change of surfactant solution. Glutamic acid has the highest diffusivity among four amino acids at sodium dodecyl sulfate(SDS) and Triton X-100 surfactant. In mixed surfactant solution, each amino acids shows high diffusivity through 45% water content membrane at the 0.5 mole fraction of SDS in the SDS/TX-100 surfactant mixtures. It has been found that not only the property of membrane but also the effects of solute-solvent interactions and solvent effect are very important as the permeation of amino acids occurs through P(HEMA) membrane. The diffusivities of free amino acids through membrane depend upon their molecular shape, size and charge.

• Journal of Intelligence and Information Systems
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• v.20 no.2
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• pp.39-58
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• 2014

As the importance of big data and related technologies continues to grow in the industry, it has become highlighted to visualize results of processing and analyzing big data. Visualization of data delivers people effectiveness and clarity for understanding the result of analyzing. By the way, visualization has a role as the GUI (Graphical User Interface) that supports communications between people and analysis systems. Usually to make development and maintenance easier, these GUI parts should be loosely coupled from the parts of processing and analyzing data. And also to implement a loosely coupled architecture, it is necessary to adopt design patterns such as MVC (Model-View-Controller) which is designed for minimizing coupling between UI part and data processing part. On the other hand, big data can be classified as structured data and unstructured data. The visualization of structured data is relatively easy to unstructured data. For all that, as it has been spread out that the people utilize and analyze unstructured data, they usually develop the visualization system only for each project to overcome the limitation traditional visualization system for structured data. Furthermore, for text data which covers a huge part of unstructured data, visualization of data is more difficult. It results from the complexity of technology for analyzing text data as like linguistic analysis, text mining, social network analysis, and so on. And also those technologies are not standardized. This situation makes it more difficult to reuse the visualization system of a project to other projects. We assume that the reason is lack of commonality design of visualization system considering to expanse it to other system. In our research, we suggest a common information model for visualizing text data and propose a comprehensive and reusable framework, TexVizu, for visualizing text data. At first, we survey representative researches in text visualization era. And also we identify common elements for text visualization and common patterns among various cases of its. And then we review and analyze elements and patterns with three different viewpoints as structural viewpoint, interactive viewpoint, and semantic viewpoint. And then we design an integrated model of text data which represent elements for visualization. The structural viewpoint is for identifying structural element from various text documents as like title, author, body, and so on. The interactive viewpoint is for identifying the types of relations and interactions between text documents as like post, comment, reply and so on. The semantic viewpoint is for identifying semantic elements which extracted from analyzing text data linguistically and are represented as tags for classifying types of entity as like people, place or location, time, event and so on. After then we extract and choose common requirements for visualizing text data. The requirements are categorized as four types which are structure information, content information, relation information, trend information. Each type of requirements comprised with required visualization techniques, data and goal (what to know). These requirements are common and key requirement for design a framework which keep that a visualization system are loosely coupled from data processing or analyzing system. Finally we designed a common text visualization framework, TexVizu which is reusable and expansible for various visualization projects by collaborating with various Text Data Loader and Analytical Text Data Visualizer via common interfaces as like ITextDataLoader and IATDProvider. And also TexVisu is comprised with Analytical Text Data Model, Analytical Text Data Storage and Analytical Text Data Controller. In this framework, external components are the specifications of required interfaces for collaborating with this framework. As an experiment, we also adopt this framework into two text visualization systems as like a social opinion mining system and an online news analysis system.