• Biomolecules & Therapeutics
• /
• v.25 no.6
• /
• pp.559-568
• /
• 2017

Metabolomics has been used as a powerful tool for the analysis and quality assessment of the natural product (NP)-derived medicines. It is increasingly being used in the quality control and standardization of NP-derived medicines because they are composed of hundreds of natural compounds. The most common techniques that are used in metabolomics consist of NMR, GC-MS, and LC-MS in combination with multivariate statistical analyses including principal components analysis (PCA) and partial least squares-discriminant analysis (PLS-DA). Currently, the quality control of the NP-derived medicines is usually conducted using HPLC and is specified by one or two indicators. To create a superior quality control framework and avoid adulterated drugs, it is necessary to be able to determine and establish standards based on multiple ingredients using metabolic profiling and fingerprinting. Therefore, the application of various analytical tools in the quality control of NP-derived medicines forms the major part of this review. $Veregen^{(R)}$ (Medigene AG, Planegg/Martinsried, Germany), which is the first botanical prescription drug approved by US Food and Drug Administration, is reviewed as an example that will hopefully provide future directions and perspectives on metabolomics technologies available for the quality control of NP-derived medicines.

• The Korean Journal of Ecology
• /
• v.12 no.4
• /
• pp.209-218
• /
• 1989

In order to elucidate the relationship among the several forest types in the green-sbelt nearby Seoul, the vascular plant species data collected preferentially from 52 stands were subjected to DCA (detrended correspondence analysis). Eight types of forests were arranged on the I/II plane fo DCA stand ordination, Quercus mongolica, Alnus hirsuta, Populus alba $\times$ glandulosa, Robinia pseudo-acacia, Pinus densiflora, Pinus koraiensis, Larix leptolepis and pinus rigida forest. Correlation analysis between the stand scores of DCA and environmental factors revealed that the axis I of DCA stand ordination implied the gradient of altitude, organic matter, total nitrogen and depth of A horizon. The axis II implied the gradient of total nitrogen and soluble phosphorus. The results of PCA (principal components analysis) by environmental data were in good agreement with that of DCA by floristic data. The recruitments of Quercus spp. Occurred in all kinds of forest types in the green-belt and their recruitments were closely related with altitutde: Quercus dentata in the foot. Quercus serrata in the midslope and Quercus mongolica in the uperslope of the mountain.

• Journal of Animal Science and Technology
• /
• v.56 no.5
• /
• pp.16.1-16.9
• /
• 2014

Fatty acids (FA) have recently been used in several studies to infer the diet in a number of species. While these studies have been largely successful, most have dealt with predators that have a fairly specialized diet. In this paper, we used FA analysis as a tool to infer the diet of the nearctic river otter (Lontra canadensis). The river otter is an opportunistic predator known to subsist on a wide variety of prey including, fishes, crayfish, molluscs, reptiles and amphibians, among others. We analyzed the principle components of 60 FA from otters and 25 potential prey species in Illinois, USA. Prey species came from 4 major taxonomic divisions: fishes, crayfish, molluscs and amphibians. Within each division, most, but not all, species had significantly different profiles. Using quantitative FA signature analysis, our results suggest that, by mass, fish species are the most significant component of Illinois River otters' diet ($37.7{\pm}1.0%$). Molluscs ranked second ($32.0{\pm}0.8%$), followed by amphibians ($27.3{\pm}4.3%$), and finally, crayfish ($3.0{\pm}0.6%$). Our analysis indicates that molluscs make up a larger portion of the otter diet than previously reported. Throughout much of the Midwest there have been numerous otter reintroduction efforts, many of which appear to be successful. In regions where mollusc species are endangered, these data are essential for management agencies to better understand the potential impact of otters on these species. Our analysis further suggests that quantitative FA signature analysis can be used to infer diet even when prey species are diverse, to the extent that their FA profiles differ. Better understanding of the otter's metabolism of FA would improve inferences of diet from FA analysis.

• Korean Journal of Plant Taxonomy
• /
• v.34 no.3
• /
• pp.189-203
• /
• 2004

Numerical analysis based on 33 morphological characters from 25 populations of 8 species of tribe Forsythieae in Korea was conducted to investigate the taxonomic delimitation and discuss the systematic relationships. In this study, Fontanesia phyllyreoides Labill was adopted as comparing outgroup to discuss the taxonomic status of Abeliophyllum distichum and elucidate the taxonomic relationships between tribe Forsythieae and tribe Fontanesiae. Based on the results of PCA, the sum of contributions for the total variance of three major principal components was 79.6% (PC1 54.2%, PC2 15.4% and PC3 10.0%, repectively). Two dimensional plotting from PCA results recognized three distinct generic clusters. Among the populations of Forsythia, two distinct groups were clustered as I. koreana-saxatilis-viridissima and II. ovata-nakaii. However, 15 populations of Abeliophyllum distichum were arranged randomly without any tendency, and the infraspecies of Abeliophyllum distichum could be recognized as individual variations. Fontanesia phyllyreoides Labill was clustered independently and intertribal limitation was clearly distinguished.

• KIPS Transactions on Software and Data Engineering
• /
• v.10 no.6
• /
• pp.223-234
• /
• 2021

Recent advances in the 4th Industrial Revolution have accelerated the change of the shopping behavior from offline to online. Search queries show customers' information needs most intensively in online shopping. However, there are not many search query research in the field of search, and most of the prior research in the field of search query research has been studied on a limited topic and data-based basis based on researchers' qualitative judgment. To this end, this study defines the type of search query with data-based quantitative methodology by applying machine learning to search research query field to define the 15 topics of search query by conducting topic modeling based on search query and clicked document information. Furthermore, we present a new classification system of new search query types representing searching behavior characteristics by extracting key variables through principal component analysis and analyzing. The results of this study are expected to contribute to the establishment of effective search services and the development of search systems.

• The Journal of the Acoustical Society of Korea
• /
• v.23 no.1
• /
• pp.82-89
• /
• 2004

This paper describes how to reduce the effect of an occupation threshold by that the transform of mixture components of HMM parameters is controlled in hierarchical tree structure to prevent from over-adaptation. To reduce correlations between data elements and to remove elements with less variance, we employ PCA (principal component analysis) and ICA (independent component analysis) that would give as good a representation as possible, and decline the effect of over-adaptation. When we set lower occupation threshold and increase the number of transformation function, ordinary WLLR adaptation algorithm represents lower recognition rate than SI models, whereas the proposed MLLR adaptation algorithm represents the improvement of over 2% for the word recognition rate as compared to performance of SI models.

• Journal of Nutrition and Health
• /
• v.50 no.5
• /
• pp.494-503
• /
• 2017

Purpose: The purpose of this study was to evaluate the effects of an eco-friendly foodservice program at a high school on dietary behaviors of students, awareness of importance of eco-friendly activities, and foodservice satisfaction. Methods: The survey was conducted with students at two schools in Gyeonggi, Korea. A total of 576 of 650 students were used for this study. Data were analyzed using Chi-square test, independent t-test, and factor analysis to test the two group's differences. Results: The practices of 'eat balanced meals' or 'finish all food on the plate' scored high (p < 0.001) in students that participated in the eco-friendly foodservice program than those who did not. Regarding awareness of the importance of eco-friendly activities, all attributes scored higher in students that participated in the eco-friendly foodservice program. All attributes for satisfaction except two scored higher (p < 0.05) in students that participated in the eco-friendly foodservice program. Principal Components Analysis (PCA) of the correlation showed that high subjective income status was positively associated with foodservice satisfaction. Conclusion: Students that participated in the eco-friendly foodservice program are highly aware of the importance of eco-friendly activities. They demonstrate more positive dietary behaviors and higher awareness of the importance of eco-friendly programs with greater foodservice satisfaction.

• Proceedings of the Korean Institute of Electrical and Electronic Material Engineers Conference
• /
• 2006.06a
• /
• pp.505-506
• /
• 2006

PD(partial discharge) occurred from variable PD sources in air may be the cause of breakdown in high voltage equipment which affect huge outage in power system. Identification and localization of PD sources is very important for engineer to cope with huge accident beforhand. PD phenomena can be detected by acoustic emission sensor or electromagnetic sensor like antenna. This paper has investigated the identification method using PCA(principal component analysis) for the PD signals from variable PD sources, for which the electric field distribution and PD inception voltages were simulated by using commercial FEM program. PD signals was detected by ultra wideband antenna. Their own features were extracted as the frequency coefficients transformed with FFT(fast fourier transform) and used to obtain independent pincipal components of each PD signals.

• Korean Journal of Plant Resources
• /
• v.20 no.4
• /
• pp.298-303
• /
• 2007

To examine taxonomic relationships among 24 leaf mustard allies (Brassica juncea) derived from domestic collections and introduced species, principal component analysis (PCA) and cluster analysis on 16 morphological characters were carried out. Of 16 characters, total fresh weight, total dry weight, shoot fresh weight and leaf length were useful characters for the understanding of taxonomic relationships among them. Cluster analysis using scores of the principal components indicated that 24 leaf mustards could be grouped into domestic collections and introduced species at 1.0 of average distance in UPGMA. Moreover, in experiment of $F_{1}$ recombination test, heterosis appeared greatly in Sanchiohbachirimen takana A ${\times}$ Akaohba takana, Goheung namyang ${\times}$ Sanchiohbachirimen takana B, and Goheung namyang ${\times}$ Akaohba takana cross combinations. Sanchiohbachirimen takana A and Akaohba takana have a high parent combining ability for breeding cultivars using cytoplasmic male sterility.

• Proceedings of the Plant Resources Society of Korea Conference
• /
• 2023.04a
• /
• pp.38-38
• /
• 2023

Sorghum (Sorghum bicolor L.) is a promising biomass crop with a high lignocellulose content. This study aimed to select high salt-tolerance sorghum lines for cultivation on reclaimed land. Using 7-day seedlings of the sorghum population consisted of 71 radiation-derived mutants (M₂ to M₆) and 33 genetic resources, survival rate (SR), plant height (PH), root length (RL), fresh weight (FW), and chlorophyll content (CC) were measured for two weeks after 102 mM (0.6%) NaCl treatment. Furthermore, the characteristics of the sorghum population were confirmed using correlation analysis, PCA (principal component analysis), and the FCE (fuzzy comprehensive evaluation) method. Under 102 mM NaCl conditions, SR ranged from 4.9 (IS645-200-6) to 82.4% (KLSo79125-200-1), with an average of 49.9%. PH varied from 7.5 (Mesusu-100-2) to 33.2 cm (DINE-A-MITE-100-2-10), with an average of 20.4 cm. RL ranged from 1.0 (IS645-200-1) to 17.0 cm (30-100-2), with an average of 7.7 cm. FW varied from 0.1 (IS645-200-6) to 4.5 g/plant (DINE-A-MITE-100-2-10), with an average of 2.1 g/plant. CC ranged from 0.9 (DINE-A-MITE-100-2-2) to 3.1 mg/g (IS12937), with an average of 1.7 mg/g. An overall positive correlation, with SR and FW (r = 0.86, P < 0.01), and FW and CC (r = 0.79, P < 0.01), was shown by correlation analysis. Among the five traits, two principal components were extracted by PCA analysis. PC1 was significantly associated with FW, while PC2 was highly involved with RL. To evaluate the salt tolerance level of the sorghum population when an FCE based on trait data was performed, MFV (membership function value) was 0.68. As a result of compiling the MFV of each line, eight lines with MFV > 0.68 were selected. Ultimately, the radiation-derived mutant lines, DINE-A-MITE-100-2-10 and DINE-A-MITE-100-2-12 were selected as salt-tolerant sorghum lines. The results are expected to inform salt-tolerant sorghum breeding programs, and the high salt-tolerance sorghum lines might be advantageous for cultivation on reclaimed land.