• Proceedings of the KIEE Conference
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• 2000.07e
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• pp.35-39
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• 2000

$ZnIn_2S_4$ and $ZnGaInS_4:Er^{3+}$ single crystals crystallized in the rhombohedral (hexagonal) space group $C_{3v}^5(R3m)$, with lattice constants $a=3.852{\AA},\;c=37.215{\AA}$ for $ZnIn_2S_4$, and $a=3.823{\AA}$, and $c=35.975{\AA}$ for $ZnIn_2S_4:Er^{3+}$. The optical absorption measured near the fundamental band edge showed that the optical energy band structure of there compounds had a direct and indirect band gap, the direct and indirect energy gaps are found to be 2.778 and 2.682 eV for $ZnIn_2S_4$, and 2.725 and 2.651eV for $ZnIn_2S_4:Er^{3+}$ at 293 K. The photoluminescence spectra of $ZnIn_2S_4:Er^{3+}$ measured in the wavelength ranges of $500nm{\sim}900nm$ at 10 K. Eight sharp emission peaks due to $Er^{3+}$ ion are observed in the regions of $549.5{\sim}550.0nm,\;661.3{\sim}676.5nm$, and $811.1{\sim}834.1nm$, and $1528.2{\sim}1556.0nm$ in $CdGaInS_4:Er^{3+}$ single crystal. These PL peaks were attributed to the radiative transitions between the split electron energy levels of the $Er^{3+}$ ions occupied at $C_{2v}$, symmetry of the $ZnIn_2S_4$ single crystals host lattice.

• Journal of the Korea Convergence Society
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• v.8 no.5
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• pp.223-231
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• 2017

This convergence study was done to identify the effectiveness of core nursing skills improvement program on nursing skills competence in nursing students. The design of research was one group pretest-posttest and the participants were 158 nursing students. The core nursing skills improvement program was composed of 7 fundamental nursing skills(vital sign, intramuscular injection, oral medication, subcutaneous injection, enema, oxygen therapy and nelaton). The data were collected using self-report questionnaires from January 19 to 23, 2015 and analyzed using paired t-test. The mean score of nursing skills competence in posttest was significantly higher than those in pretest (t=-4.71 ~ -8.00, p<.001). The score for self-confidence(t=-11.61, p<.001) and that for problem solving skills(t=-2.04, p=.043) increased significantly after core nursing skills improvement program. The results indicate that core nursing skills improvement program was effective in improving nursing skills competence.

• The Korean Journal of Rehabilitation Nursing
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• v.10 no.2
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• pp.141-146
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• 2007

Purpose: This study was conducted to estimate the prevalence rate, and related factors,of fatty liver in male industrial workers. Method: Fatty liver was diagnosed using ultrasonography. The data for abdominal ultrasonography, BMI, smoking, alcohol drinking, exercise, liver enzymes, and lipid profiles were collected in 4,604 male who were examined with a health screening program in 2005. Prevalence rate and associated factors of fatty liver were analyzed using SPSS v. 12.0. Results: Overall prevalence of fatty liver was 34.1% and higher in the 30-39 year male group. Age, body mass index(BMI), hypertriglyceridemia, hypercholesterolemia, HDL cholesterol, r-GTP level were independently associated factors with presence of fatty liver in logistic regression analysis. Conclusion: The prevalence of fatty liver and tendency of associated factors were similar to those in the western world. To prevent development of this hepatic disorder, which may result in end-stage liver disease, risk factors such as obesity and dyslipidemia must be monitored and controlled within normal levels. The results of this study suggested maintenance of a healthy lifestyle, including diet, exercise, and behavioral change, as fundamental rehabilitation nursing implications.

• Spatial Information Research
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• v.21 no.3
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• pp.1-10
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• 2013

Indoor space is a new horizon of spatial information services. With recent progress of indoor positioning technologies and mobile devices such as smart phones, indoor spatial information services become available and an emerging market. Accordingly, exchanging and sharing indoor spatial information between independent services become an important issue. For this reason, a standardization working group, called IndoorGML has been launched last year in OGC with the aim of publishing IndoorGML standard by September, 2013. Its primary goal is to provide a framework for representing network topology in indoor space, which is a fundamental element of indoor LBS. In this paper, we will explain the basic concepts of indoorGML and discuss the modeling issues. And several application use-cases of IndoorGML will be also presented in this paper.

• Progress in Medical Physics
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• v.28 no.2
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• pp.67-75
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• 2017

Prior to the introduction of a medical apparatus based on heavy-ion medical accelerator in Korea, a study is needed on quality control in clinical operation for the safe and appropriate usage of the instrument. Data relevant for the study were obtained via information sharing sessions and visits by the Particle Therapy Co-Operative Group (PTCOG) and other related academic associations. Furthermore, investigative analysis of the European and Japanese performance evaluation guidelines for heavy ion, as well as research on relevant literature, were conducted. In addition, instrumental standards were analyzed through an investigation of the current usage status of the heavy-ion medical accelerator, and further analysis was conducted on the evaluation methods for the performance, safety, and significance of the instrument. Based on these analyses, regular quality control procedures for heavy-ion medical accelerators in hospitals and other institutes were extrapolated. It is hoped that the results of this study will facilitate hospitals that have introduced heavy-ion medical accelerators, or are considering the implementation of the instrument, in their understanding of the fundamental standards and capabilities of the treatment system, as well as in establishing and carrying out quality control procedures for clinical operations such that it will contribute to the safety of patients and the efficiency of medical practitioners.

• Journal of Society of Preventive Korean Medicine
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• v.21 no.1
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• pp.95-106
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• 2017

Objectives : Although interest in preventive medicine has increased recently, "Mibyeong", the preventive concept of Korean medicine, is still unfamiliar to the general public. Therefore, this study aims to investigate the concept of Mibyeong and users used on the Internet. Methods : Naver (www.naver.com), which has the highest ranking in terms of market share, number of visitors, search time share, and community category share, has been selected as a search target and jisik-iN Q&A and posts of cafe about Mibyeong were searched for recently approximately 6 years. Results : 105 cases of Jisik-iN Q&A and 283 cases of cafe posts were searched. Overall, the number of Jisik-iN Q&A and cafe posts's Mibyeong term usage was the highest in 2013. In the Internet user category, Mibyeong Term was used most commonly in the Jisik-iN Q&A by Korean medicine related medical personnel (29 cases, 28%) and in the cafe other health-related workers (87cases, 31%). In Mibyeong related cafe classification, Information Exchange (220 cases, 77%) was the most frequent and besides 39 cases (14%) used in Operation of Medical Institutions. And the concept of Mibyeong was often used as symptom-based rather than diagnostic test or disease (Cafe posts 52%, Jisik-iN Q&A 70%), in particular, topic of Mibyeong related Jisik-iN Q&A was used in the order of pain (31 cases, 16%), cancer (17 cases, 9%), fatigue (11 cases, 6%). Conclusions : This study has significance as basic research data of general Internet user group and can be used as fundamental data for awareness promotion, publicity and necessity of Mibyeong.

• Parasites, Hosts and Diseases
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• v.50 no.2
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• pp.119-126
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• 2012

Carboxylic acids play an important role in both aerobic and anaerobic metabolic pathways of both the snail and the parasite. Monitoring the effects of infection by schistosome on Biomphalaria alexandrina carboxylic acids metabolic profiles represents a promising additional source of information about the state of metabolic system. We separated and quantified pyruvic, fumaric, malic, oxalic, and acetic acids using ion-suppression reversed-phase high performance liquid chromatography (HPLC) to detect correlations between these acids in both hemolymph and digestive gland gonad complex (DGG's) samples in a total of 300 B. alexandrina snails (150 infected and 150 controls) at different stages of infection. The results showed that the majority of metabolite pairs did not show significant correlations. However, some high correlations were found between the studied acids within the control group but not in other groups. More striking was the existence of reversed correlations between the same acids at different stages of infection. Some possible explanations of the underlying mechanisms were discussed. Ultimately, however, further data are required for resolving the responsible regulatory events. These findings highlight the potential of metabolomics as a novel approach for fundamental investigations of host-pathogen interactions as well as disease surveillance and control.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.14 no.8
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• pp.3295-3311
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• 2020

With the wide application of hyperspectral images, it becomes more and more important to compress hyperspectral images. Conventional recursive least squares (CRLS) algorithm has great potentiality in lossless compression for hyperspectral images. The prediction accuracy of CRLS is closely related to the correlations between the reference bands and the current band, and the similarity between pixels in prediction context. According to this characteristic, we present an improved CRLS with adaptive band selection and adaptive predictor selection (CRLS-ABS-APS). Firstly, a spectral vector correlation coefficient-based k-means clustering algorithm is employed to generate clustering map. Afterwards, an adaptive band selection strategy based on inter-spectral correlation coefficient is adopted to select the reference bands for each band. Then, an adaptive predictor selection strategy based on clustering map is adopted to select the optimal CRLS predictor for each pixel. In addition, a double snake scan mode is used to further improve the similarity of prediction context, and a recursive average estimation method is used to accelerate the local average calculation. Finally, the prediction residuals are entropy encoded by arithmetic encoder. Experiments on the Airborne Visible Infrared Imaging Spectrometer (AVIRIS) 2006 data set show that the CRLS-ABS-APS achieves average bit rates of 3.28 bpp, 5.55 bpp and 2.39 bpp on the three subsets, respectively. The results indicate that the CRLS-ABS-APS effectively improves the compression effect with lower computation complexity, and outperforms to the current state-of-the-art methods.

• Asian Pacific Journal of Cancer Prevention
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• v.15 no.18
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• pp.7763-7768
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• 2014

Background: Gastritis and gastric cancer are the most common diseases in the Kazakh population. Polymorphisms in genes coding of cytokines have been played important role with gastric disease risk. The risk alleles of cytokines in patients with gastritis can predict the risk of developing gastric cancer. The aim of this study was to investigate cytokine gene polymorphisms as risk factors for the development of gastritis in a case-control study with gastritis patients and healthy individuals from the Kazakh ethnic group, living in North Kazakhstan. Materials and Methods: The polymerase chain reaction followed by direct sequencing were used for detection of two functional polymorphisms in the IL1 gene family, and TaqMan SNP Genotyping Assay Sets were applied for three potentially functional polymorphisms in the IL10 gene, and one in the TNFA promoter. Results: Association analysis of studied allelic variants and the development of gastritis in H. pylori-positive patients showed that IL1B -31C/C, IL1B -511T/T and IL1RN -2/2 allelic variants were associated with development of gastritis (OR=1.8 (1.07-3.16), p=0.025; OR=1.7 (1.04-2.99), p=0.035, and OR=4.92 (2.45-9.85), p<0.001) respectively. Haplotype C-Т that combines both homozygous allelic variants of IL1B gene also had a statistically significant association with slightly higher OR (OR: 1.43, 95% CI: 1.08-1.88). Conclusions: The data from the current study showed that the genotype IL-1B -511Т/-31C-IL1-RN-2 and H. pylori infection increase risk of gastritis in the Kazakh population. That genotype combination might be a factor increasing the risk of developing gastric cancer.

• Proceedings of the Korean Society of Crop Science Conference
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• 2017.06a
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• pp.14-14
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• 2017

The discipline of plant breeding is experiencing a renaissance impacting crop improvement as a result of new technologies, however fundamental questions remain for predicting the phenotype and how the environment and genetics shape it. Inexpensive DNA sequencing, genotyping, new statistical methods, high throughput phenotyping and gene-editing are revolutionizing breeding methods and strategies for improving both quantitative and qualitative traits. Genomic selection (GS) models use genome-wide markers to predict performance for both phenotyped and non-phenotyped individuals. Aerial and ground imaging systems generate data on correlated traits such as canopy temperature and normalized difference vegetative index that can be combined with genotypes in multivariate models to further increase prediction accuracy and reduce the cost of advanced trials with limited replication in time and space. Design of a GS training population is crucial to the accuracy of prediction models and can be affected by many factors including population structure and composition. Prediction models can incorporate performance over multiple environments and assess GxE effects to identify a highly predictive subset of environments. We have developed a methodology for analyzing unbalanced datasets using genome-wide marker effects to group environments and identify outlier environments. Environmental covariates can be identified using a crop model and used in a GS model to predict GxE in unobserved environments and to predict performance in climate change scenarios. These new tools and knowledge challenge the plant breeder to ask the right questions and choose the tools that are appropriate for their crop and target traits. Contemporary plant breeding requires teams of people with expertise in genetics, phenotyping and statistics to improve efficiency and increase prediction accuracy in terms of genotypes, experimental design and environment sampling.