• Title/Summary/Keyword: background component

Search Result 607, Processing Time 0.03 seconds

Development and Validation of a Practical Instrument for Injury Prevention: The Occupational Safety and Health Monitoring and Assessment Tool (OSH-MAT)

  • Sun, Yi;Arning, Martin;Bochmann, Frank;Borger, Jutta;Heitmann, Thomas
    • Safety and Health at Work
    • /
    • v.9 no.2
    • /
    • pp.140-143
    • /
    • 2018
  • Background: The Occupational Safety and Health Monitoring and Assessment Tool (OSH-MAT) is a practical instrument that is currently used in the German woodworking and metalworking industries to monitor safety conditions at workplaces. The 12-item scoring system has three subscales rating technical, organizational, and personnel-related conditions in a company. Each item has a rating value ranging from 1 to 9, with higher values indicating higher standard of safety conditions. Methods: The reliability of this instrument was evaluated in a cross-sectional survey among 128 companies and its validity among 30,514 companies. The inter-rater reliability of the instrument was examined independently and simultaneously by two well-trained safety engineers. Agreement between the double ratings was quantified by the intraclass correlation coefficient and absolute agreement of the rating values. The content validity of the OSH-MAT was evaluated by quantifying the association between OSH-MAT values and 5-year average injury rates by Poisson regression analysis adjusted for the size of the companies and industrial sectors. The construct validity of OSH-MAT was examined by principle component factor analysis. Results: Our analysis indicated good to very good inter-rater reliability (intraclass correlation coefficient = 0.64-0.74) of OSH-MAT values with an absolute agreement of between 72% and 81%. Factor analysis identified three component subscales that met exactly the structure theory of this instrument. The Poisson regression analysis demonstrated a statistically significant exposure-response relationship between OSH-MAT values and the 5-year average injury rates. Conclusion: These analyses indicate that OSH-MAT is a valid and reliable instrument that can be used effectively to monitor safety conditions at workplaces.

Characterization of Five Shu Acupoint Pattern in Saam Acupuncture Using Text Mininig (텍스트마이닝을 통한 사암침법 오수혈 사용 패턴 분석)

  • Park, In-Soo;Jung, Won-Mo;Lee, Ye-Seul;Hahm, Dae-Hyun;Park, Hi-Joon;Chae, Younbyoung
    • Korean Journal of Acupuncture
    • /
    • v.32 no.2
    • /
    • pp.66-74
    • /
    • 2015
  • Background : Saam acupuncture were composed by applying the elemental concepts from the Five Phase theory - the relationships between the cycles such as Saeng(Sheng, 'nourishing' or 'creating') and Geuk(Ke, 'suppressing' or 'controlling') - onto the Five Phase points and 12 channels to compensate for the imbalance in each of the 12 main energy traits. Objective : The present study is aimed to find out the characteristics of Five Phase points pattern in Saam acupuncture. Methods : We analysed the characteristics of five elements of the Five Phase points in Korean medical texts such as Saamdoinchimguyogyeol, Dongeuibogam and Chimgugyeongheombang in mid Chosun Dynasty. Using non-negative factorization(NNMF) methods, we extracted the feature matrix of five elements of Five Phase points in each classic medical text. Results : In Saam acupuncture, two characteristics were most prominent: (1) "Self" component of Five elements, (2) "Mother" and "Grandmother" component of Five elements. Conclusions : Saam acupuncture used the combination of Five-Shu acupoint based on ZangFu pattern identification. Our findings suggest that grasping the characteristics of Five Phase points combinations can improve the understanding the selection of the relevant acupoints based on the ZangFu pattern identifications.

Changes of Major Components and Growth Characteristics According to Harvesting Times of Salvia miltiorrhiza Bunge (단삼의 수확시기에 따른 생육 특성 및 주요 성분 변이)

  • Kim, Young Guk;An, Tae Jin;Hur, Mok;Lee, Jeong Hoon;Lee, Yun Ji;Cha, Seon Woo
    • Korean Journal of Medicinal Crop Science
    • /
    • v.23 no.5
    • /
    • pp.395-399
    • /
    • 2015
  • Background : This study examined the effect of harvesting time on the growth, yield characteristics, and major beneficial components in Salvia miltiorrhiza. Methods and Results : Although plant height, stem diameter and branch length were not affected by harvesting time, the number of stems was highest when harvested in mid October. There were no differences in root length and thickness, however, the rhizome was thicker when it was harvested at the end of October or early November than when it was harvested in early and mid October. The dried root weight also showed a similar pattern. However, there was a statistically significant increase to 408 kg (16%) in the rhizome weight when in late October and a rise to 455 kg (29%) when harvested in early November. Harvest time had little effect on the content of the major component of S. miltiorrhiza. For example, salvianolic acid content rose from 9.42 to 9.64% with later harvest times, and tanshinone ${\prod}A$ content was tended to be slightly more increased in mid October which S. miltiorrhiza has 0.22% tanshinon ${\prod}A$ than in early October. Conclusions : According to these results, the optimum harvest time for S. miltiorrhiza is early November when plant or major component yields are hightest. There were no significant harvest time effects on the major beneficial components.

Region Segmentation and Volumetry of Brain MR Image represented as Blurred Gray Value by the Partial Volume Artifact (부분체적에 의해 번진 명암 값으로 표현된 뇌의 자기공명영상에 대한 영역분할 및 체적계산)

  • 성윤창;송창준;노승무;박종원
    • The Journal of Korean Institute of Communications and Information Sciences
    • /
    • v.25 no.7A
    • /
    • pp.1006-1016
    • /
    • 2000
  • This study is to segment white matter, gray matter, and cerebrospinal fluid(CSF) on a brain MR image and to calculate the volume of each. First, after removing the background on a brain MR image, we segmented the whole region of a brain from a skull and a fat layer. Then, we calculated the partial volume of each component, which was present in scanning finite thickness, with the arithmetical analysis of gray value from the internal region of a brain showing the blurring effects on the basis of the MR image forming principle. Calculated partial volumes of white matter, gray matter and CSF were used to determine the threshold for the segmentation of each component on a brain MR image showing the blurring effects. Finally, the volumes of segmented white matter, gray matter, and CSF were calculated. The result of this study can be used as the objective diagnostic method to determine the degree of brain atrophy of patients who have neurodegenerative diseases such as Alzheimer's disease and cerebral palsy.

  • PDF

Comparative Analysis of Cultivation Region of Angelica gigas Using a GC-MS-Based Metabolomics Approach (GC-MS 기반 대사체학 기술을 응용한 참당귀의 산지비교분석)

  • Jiang, Guibao;Leem, Jae Yoon
    • Korean Journal of Medicinal Crop Science
    • /
    • v.24 no.2
    • /
    • pp.93-100
    • /
    • 2016
  • Background: A set of logical criteria that can accurately identify and verify the cultivation region of raw materials is a critical tool for the scientific management of traditional herbal medicine. Methods and Results: Volatile compounds were obtained from 19 and 32 samples of Angelica gigas Nakai cultivated in Korea and China, respectively, by using steam distillation extraction. The metabolites were identified using GC/MS by querying against the NIST reference library. Data binning was performed to normalize the number of variables used in statistical analysis. Multivariate statistical analyses, such as Principal Component Analysis (PCA), Partial Least Squares-Discriminant Analysis (PLS-DA), and Orthogonal Partial Least Squares-Discriminant Analysis (OPLS-DA) were performed using the SIMCA-P software. Significant variables with a Variable Importance in the Projection (VIP) score higher than 1.0 as obtained through OPLS-DA and those that resulted in p-values less than 0.05 through one-way ANOVA were selected to verify the marker compounds. Among the 19 variables extracted, styrene, ${\alpha}$-pinene, and ${\beta}$-terpinene were selected as markers to indicate the origin of A. gigas. Conclusions: The statistical model developed was suitable for determination of the geographical origin of A. gigas. The cultivation regions of six Korean and eight Chinese A. gigas. samples were predicted using the established OPLS-DA model and it was confirmed that 13 of the 14 samples were accurately classified.

Local Region Spectral Analysis for Performance Enhancement of Dementia Classification (인지증 판별 성능 향상을 위한 스펙트럼 국부 영역 분석 방법)

  • Park, Jun-Qyu;Baek, Seong-Joon
    • Journal of the Korea Academia-Industrial cooperation Society
    • /
    • v.12 no.11
    • /
    • pp.5150-5155
    • /
    • 2011
  • Alzheimer's disease (AD) and vascular dementia (VD) are the most common dementia. In this paper, we proposed a region selection for classification of AD, VD and normal (NOR) based on micro-Raman spectra from platelet. The preprocessing step is a smoothing followed by background elimination to the original spectra. Then we applied the minmax method for normalization. After the inspection of the preprocessed spectra, we found that 725-777, 1504-1592 and 1632-1700 $cm^{-1}$ regions are the most discriminative features in AD, VD and NOR spectra. We applied the feature transformation using PCA (principal component analysis) and NMF (nonnegative matrix factorization). The classification result of MAP(maximum a posteriori probability) involving 327 spectra transformed features using proposed local region showed about 92.8 % true classification average rate.

Analysis of Dimensionality Reduction Methods Through Epileptic EEG Feature Selection for Machine Learning in BCI (BCI에서 기계 학습을 위한 간질 뇌파 특징 선택을 통한 차원 감소 방법 분석)

  • Tong, Yang;Aliyu, Ibrahim;Lim, Chang-Gyoon
    • The Journal of the Korea institute of electronic communication sciences
    • /
    • v.13 no.6
    • /
    • pp.1333-1342
    • /
    • 2018
  • Until now, Electroencephalography(: EEG) has been the most important and convenient method for the diagnosis and treatment of epilepsy. However, it is difficult to identify the wave characteristics of an epileptic EEG signals because it is very weak, non-stationary and has strong background noise. In this paper, we analyse the effect of dimensionality reduction methods on Epileptic EEG feature selection and classification. Three dimensionality reduction methods: Pincipal Component Analysis(: PCA), Kernel Principal Component Analysis(: KPCA) and Linear Discriminant Analysis(: LDA) were investigated. The performance of each method was evaluated by using Support Vector Machine SVM, Logistic Regression(: LR), K-Nearestneighbor(: K-NN), Decision Tree(: DR) and Random Forest(: RF). From the experimental result, PCA recorded 75% of highest accuracy in SVM, LR and K-NN. KPCA recorded 85% of best performance in SVM and K-KNN while LDA achieved 100% accuracy in K-NN. Thus, LDA dimensionality reduction is found to provide the best classification result for epileptic EEG signal.

Comparisons of microhabitat use of Schlegel's Japanese gecko (Gekko japonicus) among three populations and four land cover types

  • Kim, Dae-In;Choi, Woo-Jin;Park, Il-Kook;Kim, Jong-Sun;Kim, Il-Hun;Park, Daesik
    • Journal of Ecology and Environment
    • /
    • v.42 no.4
    • /
    • pp.198-204
    • /
    • 2018
  • Background: The effective use of habitats is essential for the successful adaptation of a species to the local environment. Although habitats exhibit a hierarchical structure, including macro-, meso-, and microhabitats, the relationships among habitats of differing hierarchy have not been well studied. In this study, we studied the quantitative measures of microhabitat use of Gekko japonicus from three field populations in Japan: one at Tsushima Island, one at Nishi Park, Fukuoka, and one at Ohori Park, Fukuoka. We investigated whether land cover type, a higher hierarchical habitat component, was associated with quantitative microhabitat use, a lower hierarchical component, in these populations. Results: The substrate temperature where we located geckos (SubT) and the distance from the ground to the gecko (Height) were significantly different among the three populations. In particular, SubT on Tsushima Island was lower than it was in the other two populations. Irradiance at gecko location and Height were significantly different among the land cover types. In particular, Height in evergreen needleleaf forest was significantly lower than that in deciduous broadleaf forest. Furthermore, significant interactions between population and land cover type were observed for the SubT and Height variables. Conclusions: The quantitative measures of microhabitat use of G. japonicus varied with population and land cover type, which exhibited significant interaction effects on microhabitat use variables. These results suggest that higher hierarchical habitat components can affect the quantitative measures of lower hierarchical microhabitat use in nocturnal geckos.

A mixture of seaweed extracts and glycosaminoglycans from sea squirts inhibits α-MSH-induced melanogenesis in B16F10 melanoma cells

  • Wang, Lei;Cui, Yong Ri;Yang, Hye-Won;Lee, Hyo Geun;Ko, Ju-Young;Jeon, You-Jin
    • Fisheries and Aquatic Sciences
    • /
    • v.22 no.5
    • /
    • pp.11.1-11.8
    • /
    • 2019
  • Background: In the present study, the skin-whitening effects of a marine-sourced mixture that includes a fucoidanrich extract of Undaria pinnatifida (UPEF), a phlorotannin-rich extract of Ecklonia cava (ECE), and glycosaminoglycans (GAGs) from sea squirt skin were investigated. Methods: The whitening effects of the mixture and its components were evaluated by measuring the inhibition of mushroom tyrosinase and melanin synthesis in alpha-melanocyte-stimulating hormone (${\alpha}$-MSH)-stimulated B16F10 melanoma cells. Results: Each component alone markedly inhibited mushroom tyrosinase in a dose-dependent manner, and in ${\alpha}$-MSH-stimulated B16F10 cells, they inhibited melanin synthesis and were cytotoxic. However, the whitening effects of UPEF, ECE, and GAGs in combination were greater than those of each component alone. A mixture in the ratio of 4:5:1 (UEG-451) showed the strongest activity without cytotoxicity. Further study suggested that UEG-451 inhibits ${\alpha}$-MSH-stimulated melanogenesis in B16F10 cells by downregulating tyrosinase and tyrosinase-related proteins, such as TRP-1 and TRP-2, via the inhibition of MITF expression. Conclusions: These results suggest that mixing the different components at optimum ratios might be an effective way to improve their bioactivities and reduce toxicity and that UEG-451 possesses strong whitening effects that could be used in the cosmetic industry.

The relationship between disability and clinical outcomes in maintenance dialysis patients

  • Kang, Seok Hui;Do, Jun Young;Kim, Jun Chul
    • Journal of Yeungnam Medical Science
    • /
    • v.38 no.2
    • /
    • pp.127-135
    • /
    • 2021
  • Background: Dialysis patients are prone to having disabilities. We aimed to evaluate the association between disability and various clinical outcomes in Korean dialysis patients. Methods: This study consisted of 1,615 dialysis patients from 27 centers. We evaluated disability by using four questions on the activities of daily living (ADLs) concerning whether help was needed for feeding, dressing/undressing, getting in/out of bed, or taking a bath/shower. We divided the patients into three groups: no disability (Non-D, none of the four ADL domains required help; n=1,312), mild disability (Mild-D, one ADL domain required some/full help; n=163), or moderate to severe disability (MS-D, two or more ADL domains required some/full help; n=140). We evaluated falls, frailty, health-related quality of life (HRQoL), mortality, and hospitalization. Results: The numbers of participants with a fall during the last 1 year were 199 (15.2%), 42 (25.8%), and 44 (31.4%) in the Non-D, Mild-D, and MS-D groups, respectively (p<0.001). The numbers of participants with frailty in the Non-D, Mild-D, and MS-D groups were 381 (29.0%), 84 (51.5%), and 93 (66.4%), respectively (p<0.001). In both univariate and multivariate analyses, the physical component scale and mental component scale scores decreased as the grade of disability increased (p<0.001 for both scores). Hospitalization-free survival rate at 500 days was 64.2%, 56.7%, and 51.1% in the Non-D, Mild-D, and MS-D, respectively (p=0.001 for trend). Patient survival rate at 500 days was 95.3%, 89.5%, and 92.3% in the Non-D, Mild-D, and MS-D, respectively (p=0.005 for trend). Conclusion: Disability was associated with falls, frailty, HRQoL scales, and survival trends in Korean dialysis patients.