• Journal of Korean Neurosurgical Society
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• v.29 no.12
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• pp.1620-1627
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• 2000

Objectives : DAMA cases were analyzed to examine what the main casual factors of DAMA were and how to deal with these cases effectively in hospital with the DAMA interdisciplinary team including medical social worker whose role is to perform psycho-social assessment, family counsel, to evaluate family's DAMA need. Patients and Methods : The content analysis of medical record and social work record were reviewed in 37 cases referred by medical doctor to DAMA team. These cases were reported by patients' self discharge request or family's request for discharge from September 1998 to February 2000. The DAMA team consists of Assistant Director of Hospital as team leader, medical staff in-charge, social worker, QI nurse, other staff members who are not involved in direct treatment for patient, and administrative clerk. Results : The results of content analysis are as follows : 1) The most causal factors of DAMA consist of combination of more than 2 factors. 2) The major decision-maker is revealed to be son and daughter of patient. 3) In 59.4% of cases, family was not informed of patients' prognosis, alternatives, the consequence of DAMA at all. 4) In cases of DAMA report, the rapid intervention of social worker is carried out. Conclusion : In this study, we propose the interdisciplinary team approach to make decision legitimately and ethically for DAMA. The suggestions from this study are as follows : 1) To deal with DAMA case properly, the interdisciplinary team approach should be considered. 2) The criteria for DAMA case should be formed carefully. For the explicit selection of DAMA case, preliminary system for high-risk patient screening is recommended. 3) The medical social worker is available for the psycho-social problems of the patient once family members. For the effective family counselling, discharge planning and nursing home placement, the participation of medical social worker should be mandatory.

• Mycobiology
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• v.47 no.4
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• pp.368-377
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• 2019

The genus Macrolepiota (Agaricales, Basidiomycota) is easy to recognize at the genus level because of big, fleshy basidiocarps with squamules covering the pileus; a single or double annulus; and big, thick-walled basidiospores with a germ pore. However, morphological identification is often unreliable in Macrolepiota due to similar morphological features among species. Due to the uncertainty of previous morphological identification in the genus Macrolepiota, it is necessary to re-examine Korean Macrolepiota using molecular data. We reexamined 34 Macrolepiota specimens collected from 2012 to 2018 in Korea using a reverse taxonomic approach, whereby species identification was first done based on the internal transcribed spacer (ITS) region analysis, followed by morphological confirmation. We identified the presence of four species: M. detersa, M. mastoidea, M. procera, and M. umbonata sp. nov. Two species (M. detersa and M. mastoidea) were previously unrecorded from Korea and M. umbonata is a new species. Detailed descriptions of all four species and taxonomic key are provided in this study. Macrolepiota procera and M. umbonata are distributed through the country, but M. detersa and M. mastoidea are distributed only in limited areas. According to our results, the combination of ITS locus and morphology proved to be a robust approach to evaluate the taxonomic status of Macrolepiota species in Korea. Additional surveys are needed to verify the species diversity and clarify their geographic distribution.

• Cartoon and Animation Studies
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• s.32
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• pp.141-158
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• 2013

Comics are a genre that convey meaning through compositional arrangements of dialogue and images as well as through the flow of panels across a page. Communicating that meaning to readers through a combination of language and visual lexicons is the essential process of drawing comics, a process that in itself is significant. The semiotics of comics is a field of scholarship grounded in the broader discipline of semiotic theory in which all the components of comics, both visual and verbal, are the subject of study and research. By adopting a semiotic approach we are able to objectively analyze and understand the symbolic, social and ideological meanings embedded in the signs and sign processes expressed in comics. The fundamental pedagogical mission of teaching comics is to cultivate human nature through the study of theory as well as through the production and completion of original works that explore new modes of expression. To go further, interpreting those embedded meanings in the context of comics fosters effective and creative skills of expression that go beyond a mere fascination for the genre itself. In short, because the semiotic approach to understanding visual communication is the essence teaching comics, we can expect that the act of reading and creating comics plays a significant role in understanding visual communication.

• Journal of Korean Society on Water Environment
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• v.36 no.4
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• pp.300-313
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• 2020

The Bayesian approach can be used to estimate hydrologic model parameters from the prior expert knowledge about the parameter values and the observed data. The purpose of this study was to compare the performance of the two Bayesian methods, the Metropolis-Hastings (MH) algorithm and the Generalized Likelihood Uncertainty Estimation (GLUE) method. These two methods were applied to the TANK model, a hydrological model comprising 13 parameters, to examine the uncertainty of the parameters of the model. The TANK model comprises a combination of multiple reservoir-type virtual vessels with orifice-type outlets and implements a common major hydrological process using the runoff calculations that convert the rainfall to the flow. As a result of the application to the Nam River A watershed, the two Bayesian methods yielded similar flow simulation results even though the parameter estimates obtained by the two methods were of somewhat different values. Both methods ensure the model's prediction accuracy even when the observed flow data available for parameter estimation is limited. However, the prediction accuracy of the model using the MH algorithm yielded slightly better results than that of the GLUE method. The flow duration curve calculated using the limited observed flow data showed that the marginal reliability is secured from the perspective of practical application.

• Korean Journal of Remote Sensing
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• v.27 no.3
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• pp.315-328
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• 2011

Landsat data incorporated with additional bands-normalized difference vegetation index (NDVI) and band ratios were used to assess the extent and rate of deforestation in the Gunung Mutis Nature Reserve (GMNR), a mountainous tropical forest in Eastern of Indonesia. Hybrid classification was chosen as the classification approach. In this approach, the unsupervised classification-iterative self-organizing data analysis (ISODATA) was used to create signature files and training data set. A statistical separability measurement-transformed divergence (TD) was used to identify the combination of bands that showed the highest distinction between the land cover classes in training data set. Supervised classification-maximum likelihood classification (MLC) was performed using selected bands and the training data set. Post-classification smoothing and accuracy assessment were applied to classified image. Post-classification comparison was used to assess the extent of deforestation, of which the rate of deforestation was calculated by the formula suggested by Food Agriculture Organization (FAO). The results of two periods of deforestation assessment showed that the extent of deforestation during 1989-1999 was 720.72 ha, 0.80% of annual rate of deforestation, and its extent of deforestation during 1999-2009 was 1,059.12 ha, 1.31% of annual rate of deforestation. Such results are important for the GMNR authority to establish strategies, plans and actions for combating deforestation.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.35 no.11B
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• pp.1704-1709
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• 2010

A small number of countries are leading the world in the development of advanced weapon systems. In general, the access to the information on the design of advanced systems is limited. As such, when similar weapon systems need to be developed, a special methodology must be considered to catch up with both the technological and information barriers. In this paper, we study a design methodology based on the combination of the reverse engineering and the design structure matrix (DSM) approach. The methodology begins by analyzing the advanced system by reverse engineering and produces a set of design results in the form of physical architecture, functional architecture and system requirements. The design results are further enhanced by applying the DSM clustering. As a result, one can get an improved design result. As a target system, a guided missile system was considered.

• Journal of Plant Biotechnology
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• v.33 no.3
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• pp.161-169
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• 2006

Plant metabolomics is a plant biology field for identifying all of the metabolites found in a certain plant cell, tissue, organ, or whole plant in a given time and conditions and for studying changes in metabolic profiling as time goes or conditions change. Metabolomics is one of the most recently developed omics for holistic approach to biology and is a kind of systems biology. For holistic approach, metabolomics frequently uses chemometrics or multivariate statistical analysis of metabolic profillings. In plant biology, metabolomics is useful to determine functions of genes often in combination with DHA microarrays by analyzing tagged mutants of the model plants Arabidopsis and rice. This review paper attempted to introduce basic concepts of metabolomics and practical uses of multivariate statistical analysis of metabolic profiling obtained by $^1$H HMR and Fourier transform infrared spectrometry.

• The Transactions of the Korean Institute of Electrical Engineers A
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• v.49 no.11
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• pp.549-557
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• 2000

This study proposes a new numerical analysis method for assessing the outage cost of the composite power system with considering transmission system at load points. The proposed method comes from combination of the expected energy not served curve(EENSC) with the marginal outage cost function obtained at load points. Uncertainty of the outages of the generation and transmission systems was also included in this study. This study can be categorized into three processing parts as like as follows. Firstly, EENSC at load points was developed newly from the composite power system effective load duration curve which has been proposed by the authors. Secondly, this study proposes a new technical method for determining the coefficients of the marginal outage cost functions at load points in the composite power system(Generation and Transmission systems). It is a main key point that the mathematical expression for the marginal outage cost function at a load point is formulated and evaluated using relations between the GNP (or GDP) and the electrical energy demand at the load pint. Finally, the outage cost was calculated in this paper by combining the proposed EENSC with the marginal outage cost function evaluated at each load point. It is another important feature that the average costs for future at load points can be forescasted using the proposed approach. The effectiveness of the proposed new approach is demonstrated by the case studies with the IEEE-RTS.

• Computers and Concrete
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• v.15 no.1
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• pp.103-126
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• 2015

Thermal effects are significant loads for assessing concrete dam behaviour during operation. A new methodology to estimate thermal loads on concrete dams taking into account processes which were previously unconsidered, such as: the evaporative cooling, the night radiating cooling or the shades, has been recently reported. The application of this novel approach in combination with a three-dimensional finite element method to solve the heat diffusion equation led to a precise characterization of the thermal field inside the dam. However, that approach may be computationally expensive. This paper proposes the use of a new one-dimensional model based on an explicit finite difference scheme which is improved by means of the reported methodology for computing the heat fluxes through the dam faces. The improved model has been applied to a case study where observations from 21 concrete thermometers and data of climatic variables were available. The results are compared with those from: (a) the original one-dimensional finite difference model, (b) the Stucky-Derron classical one-dimensional analytical solution, and (c) a three-dimensional finite element method. The results of the improved model match well with the observed temperatures, in addition they are similar to those obtained with (c) except in the vicinity of the abutments, although this later is a considerably more complex methodology. The improved model have a better performance than the models (a) and (b), whose results present larger error and bias when compared with the recorded data.

• Spatial Information Research
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• v.19 no.6
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• pp.1-10
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• 2011

The evaluation systems on the National Spatial Information Policy(NSIP) has been changed, since the Establishment and Use of the National Geographic Information System Act(NGIS Act, 2000) was abolished and the National Spatial Data Infrastructure Act(NSDI Act, 2009) was enacted. As compared to the NGIS Act, the policy evaluation systems for National Spatial Information are regarded as unified and centralized. However, some argue that the claim of budget and the legal feasibility of the NSIP was weakened. Given the different views on the two laws, this study aims at analyzing the changes in the evaluation system by comparing the NGIS Act and the NSDI Act. A Comparative Analysis framework is employed. The subjects of the comparative analysis are evaluation mechanism, evaluator, evaluation target and range, after-assessment utilization, and agent. In order to improve the effectiveness of the evaluation system, it is recommended that the clarification of evaluation purposes, institutional enhancement for evaluation agency, the development of evaluation indexes, the combination of top-down approach and bottom -up approach, and the increased linkage between budget and evaluation result.