• Archives of Pharmacal Research
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• v.19 no.2
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• pp.160-162
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• 1996

The structural analysis of tolfenamic acid, 2-[(3-chloro-2-methylphenyl)-amino]benzoic acid, was performed by single crystal X-ray diffraction technique. The compound was recrystallized from a mixture of ether and toluene in triclinic, space group $P2_1/c, \;with\; \partial=3.914(1), \; b=22.\; 020(2), \; c=14.271(1)\;{\AA}, \beta.=94.68(1)^{\circ}, $ and Z=4. The calculated density is $1.418 g/cm^3$. The structure was solved by the direct method and refined by full matrix least-squares procedure to the final R value of 0.039 for 1773 independent reflections. In the molecule, carboxyl group at the anthranilic acid is coplanar to the phenyl ring. The dihedral angle between the two aromatic rings of the molecule is $44.2^{\circ}$ The molecules are dirnerized through the intermolecular hydrogen bonds at the carboxyl group in the crystal.

• Journal of Information Technology Services
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• v.9 no.4
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• pp.57-70
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• 2010

Nowadays, medical services can be performed through online. This entails a lot of human resources and different healthcare information. The rapid changes in the healthcare environment through web should be accounted so that the information would be maximally useful. However, medical information acquired online is not regulated; it is not favorable to users because it creates doubts to its reliability and benefits. This study focuses on the online medical information. It gives help to the users through its accessibility" comprehensiveness, continuity and efficiency. An empirical analysis of research model using PLS(partial least squares) shows that the quality of medical information influences the reliability and benefit of the related medical information. If users recognize medical information to be reliable and beneficial, their intention to use the medical information becomes strong.

• Environmental Engineering Research
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• v.10 no.2
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• pp.88-103
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• 2005

In this paper, data-driven modeling and multiresolution analysis (MRA) are applied for a full-scale wastewater treatment plant (WWTP). The proposed method is based on modeling by partial least squares (PLS) and multiscale monitoring by a generic dissimilarity measure (GDM), which is suitable for nonstationary and non-normal process monitoring such as a biological process. Case study in an industrial plant showed that the PLS model could give good modeling performance and analyze the dynamics of a complex plant and MRA was useful to detect and isolate various faults due to its multiscale nature. The proposed method enables us to show the underlying phenomena as well as to filter out unwanted and disturbing phenomena.

• Journal of Korea Society of Digital Industry and Information Management
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• v.9 no.4
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• pp.227-238
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• 2013

Although several studies show close relationships between social capitals and their performances, a little is known about specific social capitals and their effects on organizational culture and behaviour leading to their innovative outcomes within small and medium sized enterprises(: SMEs). This study examines some dimensions of social capitals and their influences on creating innovative culture and employees' behaviour. The importance of these are regarded as an imperative for SMEs to overcome the inequality of financial leverage and competitive power over resources. For the empirical analysis, survey data were collected from 51 domestic SMEs and analyzed by partial least squares(: PLS) that is one of popular structural modeling and multi-variate projection techniques to latent variables. The findings confirm a positive support of social capitals and their influences on the innovative culture and bahaviour. This result implies that managing the capability of social capitals is important for SMEs to develop the innovative culture and bahaviour and create a competitive advantage.

• YAKHAK HOEJI
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• v.48 no.3
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• pp.171-176
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• 2004

This study was described for measuring clinically relevant levels of glucose in undiluted plasma and whole blood by near-infrared (NIR) spectroscopy. Result from an initial measurement of major blood components powder was over-lapped the absorption bands of glucose at 1500-1600 nm. However, the NIR data of blood components were clearly separated by principle component analysis (PCA) space. By the use of partial least squares (PLS) regression, glucose concentrations in undiluted plasma and whole blood could be determined with standard errors of prediction (SEP) of 15 mg/dl and 76 mg/dl, respectively. Although these blood components possessed strong absorption bands that overlapped with the absorption bands of glucose, successful calibration models could be carried out.

• YAKHAK HOEJI
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• v.48 no.3
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• pp.177-181
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• 2004

Non-invasive blood glucose measurement from mouse tail was performed by near-infrared (NIR) spectroscopy. Three groups; normal, type I diabetes (insulin dependent diabetes mellitus, IDDM), type II diabetes (non-insulin dependent diabetes mellitus, NIDDM) group, were studied over a 10 weeks period with the collection of near-infrared (NIR) spectra. Spectral variations from long-term measurement (10 weeks) from dramatic and nonlinear changes in the optical properties of the live tissue sample were compensated by chemometrics techniques such as principle component analysis (PCA) and partial least squares (PLS) regression. The effect from mouse body temperature changes on NIR spectral data was also considered. This study showed that the compensation of variations from long-term measurement and temperature changes improved calibration accuracy of non-invasive blood glucose measurement.

• Proceedings of the Korea Information Processing Society Conference
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• 2004.05a
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• pp.745-748
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• 2004

얼굴 이미지의 대부분은 표본의 수보다 특징 변수의 수가 많기 때문에 이러한 점을 고려한 특징 추출 방법이 필요하다. 본 논문에서는 부분 최소제곱법을 이용하여 특징 벡터의 차원을 축소하는 방법을 제안한다. 전통적인 차원 축소 방법인 주성분 분석은 클래스의 정보를 고려하지 않고 최대 변이를 가지는 성분을 추출하기 때문에, 클래스의 구분에 필요한 특징을 필수적으로 추출하지 못한다. 이에 비해, 부분 최소제곱법은 클래스 변수에 대한 정보를 포함하여 성분을 추출한다. 그러므로, 분류를 하는데 있어서는 주성분 분석에 의해 추출된 성분보다는 부분 최소제곱법에 의해 추출된 성분이 보다 더 예측적이다. 맨체스터와 ORL 얼굴 데이터베이스를 이용하여 실험한 결과, 분류와 차원 축소 측면에서 주성분 분석 방법보다는 부분 최소제곱법을 이용한 방법이 그 성능이 우수함을 알 수 있었다.

• Korea Trade Review
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• v.44 no.6
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• pp.169-185
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• 2019

The purpose of this study is to analyze the structural relationships of perceived value, price sensitivity, and satisfaction between brand image and purchase intention of consumers who have experience of overseas direct purchase. This study collected questionnaires used to analyze these structural relationships. Using the R's plspm package, we analyzed the PLS (partial least squares) structural equation model. In order to examine the relationship between perceived value and price sensitivity, the research model was modified and analyzed. As a result, not only the adoption of the research hypothesis, but also the goodness of fit was higher than before the research model modifying, and the relationship between perceived value and price sensitivity was further verified. The modified research model has higher academic value, so it is necessary to select it as the final proposal model.

• Bulletin of the Korean Chemical Society
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• v.6 no.4
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• pp.222-224
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• 1985

The crystal structure of sulindac, $C_{20}H_{17}Fo_3S$, one of the nonsteroid antiinflammatory agents, has been determined by the X-ray diffraction techniques using diffractometer data obtained by the $\varpi-2{\theta}$ scan technique with Cu $$K_{\alpha}$$ radiation from a crystal with space group symmetry Pbca and unit cell parameters a = 8.166(1), b = 18.291(8), c = 23.245(10) ${\AA}.$ The structure was solved by direct methods and refined by full-matrix least-squares to a final R = 0.11 for the 1153 observed reflections. The carboxyl group is nearly perpendicular to the indenyl ring as observed in indomethacin. The dihedral angle between the indenyl and phenyl rings is $35^{\circ}while$ the corresponding angle in indomethacin is $67^{\circ}.$ Crystal packing consists of a hydrogen bond and partial ring stacking between the indenyl rings.

• Proceedings of the PSK Conference
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• 2003.10b
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• pp.218.3-218.3
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• 2003

In this study, a FT-NIR spectroscopy was used to determine skin moisture. NIR diffuse reflectance spectra were collected from separated dorsal and abdominal hairless mouse skin. Partial least squares regression (PLSR) was applied to develop calibration models that determine the water content. The seven spectra regions, such as 833-2500, 1100-2250, 1100-1750, 1750-2250, 1200-1600, 1800-2200, and 1200-2200 except 1600-1800 nm, were investigated for the best model by PLSR. The developed model predicted skin moisture for validation set with a standard errors of prediction (SEP) of 4.43%, when used 833-2500 nm. (omitted)