• 제목/요약/키워드: Multivariate Assessment

검색결과 235건 처리시간 0.026초

Assessment of Energy Organizations' External Conditions in the Russian Federation: A Sector Analysis

  • Vyborova, E.N.;Salyakhova, E.A.
    • Asian Journal of Business Environment
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    • 제4권2호
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    • pp.17-21
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    • 2014
  • Purpose - The paper analyzes basic indicators characterizing the volume of energy sector activity in the Russian Federation, Privolzhsky Federal district, Republic of Tatarstan. Research design, data, and methodology - The study analyzed data from the Privolzhsky Federal district, specifically, industrial production volume, electricity production, energy consumption, energy-balance data, capital investments, and capital investment structure. An array of data has been investigated in recent years. The dataset's dynamics were analyzed in 1998. Fixed capital investment dynamics were studied in 1946 the figures were converted to a comparable form using the index method. Trends were analyzed using multivariate statistics methods and the Statgraphics software package. Results - Hypothesis 1. There are sectoral disproportions in energy flows,taking into account the volume of electricity production and consumption. Trends in electricity production in general coincide with industrial production volume trends. Energy flows have disparities in individual territorial units, and in general. Hypothesis 2. The degree of sectoral economic stability decreases with insufficient levels of investment in fixed capital energy organizations. Conclusions - Because totalelectricity production is largely determined by fixed capital investments, the study of their trends and patterns will coordinate efforts on investment operations in this area.

Assessment of Educational Conditions for 28 National Universities in South Korea

  • Jeong, Dong-Bin
    • Asian Journal of Business Environment
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    • 제7권1호
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    • pp.25-29
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    • 2017
  • Purpose - In this paper, we categorize and segment the 28 national universities in South Korea and measure the degree of dissimilarity (or similarity) between pairs of ones by using dissimilarity distance matrix and cluster analysis, respectively, based on the seven quantitative evaluation of educational conditions (percentage of small-scale courses, percentage of lecture by the faculty, collection of books per student, material purchase per student, percentage of building capacity, percentage of real estate capacity and rate of accommodation) in 2015. In addition, multidimensional scaling (MDS) techniques can obtain visual representation for exploring patterns of proximities among 28 national universities based on seven attributes of educational conditions. Research design, data, and methodology - This work is carried out by the 2015 Announcement of University Information, which is provided by Ministry of Education in South Korea and utilized by multivariate analyses with CLUSTER, PROXIMITIES and ALSCAL modules in IBM SPSS 23.0. Results - We make certain that 28 national universities can be categorized into five clusters which have similar traits by applying two-stage cluster analysis. MDS is utilized to perform positioning of grouped places of cluster and 28 national universities joining every cluster. Conclusions - Both types and traits of each national university can be relatively assessed and practically utilized for each university competitiveness based on underlying results.

Application of Metabolomics to Quality Control of Natural Product Derived Medicines

  • Lee, Kyung-Min;Jeon, Jun-Yeong;Lee, Byeong-Ju;Lee, Hwanhui;Choi, Hyung-Kyoon
    • Biomolecules & Therapeutics
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    • 제25권6호
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    • pp.559-568
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    • 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.

간호사의 적응유연성훈련 프로그램 개발 및 효과 (Development and Effects of a Resilience Training Program for Nurses)

  • 최미선;김미영
    • 간호행정학회지
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    • 제22권4호
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    • pp.373-383
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    • 2016
  • Purpose: This study was conducted to develop a resilience training program for nurses and test its effects. Methods: A non-equivalent experimental group and a control group pretest-posttest study design was used with 56 participating nurses (28 nurses in the experimental group and 28 nurses in the control group). The resilience training program was provided to participants for 4 weeks from August 12 to September 4, 2013. Each session was scheduled for two hours per week. Participants completed the tools for resilience, positive affect, and perceived stress assessment. Data were analyzed using ${\chi}^2$ test, Independent t-test, and 2*2 repeated measures multivariate analyses of variance (MANOVAs) with the SPSS/WIN 21.0 program. Results: Application of the resilience training program significantly helped nurses enhance their resilience and positive affect to workplace adversity, and reduce their perceived stress. There were significant positive differences for these variables in the experimental group compared to the control group. Conclusion: The findings indicate that the resilience training program for nurses is effective and can be used as an intervention for a stress management guide for nurses.

간이식 후 중환자실에서의 섬망 발생 위험요인 (Risk Factors for Postoperative Delirium after Liver Transplantation in the Intensive Care Unit)

  • 조옥희;유양숙;최정은;김남희
    • 기본간호학회지
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    • 제16권3호
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    • pp.290-299
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    • 2009
  • Purpose: The objectives of this study were to determine the prevalence, incidence, duration and risk factors for delirium following liver transplantation while the patients were in the acute stage and admitted to the intensive care unit. Method: A retrospective chart review of 106 patients who had liver transplantation was conducted. A delirium risk factor checklist was used, to collect preoperative and postoperative data. Descriptive analysis, t-test, x2-test, and logistic regression analyses were used for data analysis. Results: The post-transplantation incidence of delirium was 29.3% (n=31). Multivariate analysis revealed that risk factors were preoperative conditions in the patients including spontaneous bacterial peritonitis, hepatorenal syndrome, and postoperative laboratory test results, such as hyperbilirubinemia. Conclusion: Therefore, a daily delirium risk factor assessment should be conducted before liver transplantation as a way to identify risk of delirium after the liver transplantation and to effectively manage delirium when it occurs.

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중환자실 조기 재입실 관련 위험요인 (The Risk Factors Related to Early Readmission to the Intensive Care Unit.)

  • 장진녕;이윤미;박효진;이현주
    • 중환자간호학회지
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    • 제12권1호
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    • pp.36-45
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    • 2019
  • Purpose : The purpose of this study was to identify status and characteristics of patients who have been readmitted to ICU, and to analyze risk factors associated with the readmission to ICU within 48hours. Method: Data were collected from patient's electronic medical reports from one hospital in B city. Participants were 2,937 patients aged 18 years old or older admitted to the ICU. Data were analyzed using odd ratios (ORs) from multivariate logistic regressions. Results: 2.2% of the 2,937 patients were early readmitted to ICU. Risk factors for early readmission to ICU were existence of respiratory disease, use of mechanical ventilator, and duration of hospitalization (longer). Conclusion: The assessment on the respiratory system of the patient who will be discharged from the ICU was identified as an important nursing activity. Therefore, the respiratory system management and education should be actively conducted. In addition, early ICU readmission may be prevented and decreased if a link was built to share the information on patient condition between the ICU and general wards.

Prevalence of Irritable Bowel Syndrome and its Association with Psychological Distress among Female College Students in Korea

  • Jang, Aelee
    • 대한의생명과학회지
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    • 제26권4호
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    • pp.351-359
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    • 2020
  • It is well known that irritable bowel syndrome (IBS) is related to psychological distress. However, only a few studies have investigated the relationship between IBS and various dimensions of psychological distress. This study aimed to evaluate the prevalence of IBS and its relationship with anxiety, depression, and stress in young female college students. A cross-sectional study was conducted using a self-report structured questionnaire with 673 female college students. IBS was diagnosed based on the Rome III criteria. For the evaluation of psychological distress on the IBS, we investigated Hospital Anxiety and Depression Scale (HADS) and Global Assessment of Recent Stress (GARS). The prevalence of IBS was 27.9%. In the univariate analysis, the anxiety, depression, and stress scores were significantly associated with IBS (P<0.001, P=0.001, and P<0.001, respectively). Multivariate analysis showed that anxiety (OR=1.07, 95% CI=1.01~1.15, P=0.032) and stress scores (OR=1.23, 95% CI=1.19~1.27, P<0.001) were independently correlated with the IBS. Among the subtypes of IBS, IBS with predominant constipation was the most common, and the anxiety, depression, and stress scores did not significantly differ between the subtypes. Our results suggest that anxiety and stress are closely related to IBS. Managing psychological distress should be considered in the treatment of IBS in young female college students.

In-house Contractors' Exposure to Risks and Determinants of Industrial Accidents; With Focus on Companies Handling Hazardous Chemicals

  • Shin, Kyusoo
    • Safety and Health at Work
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    • 제12권2호
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    • pp.261-267
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    • 2021
  • Background: The series of serious industrial accidents in recent years at contractors to large companies has highlighted risk outsourcing as a real and urgent problem. This study aims to review the difference in the degree of risk exposure and the occurrence of industrial accidents depending on the type of company relations. Among in-house contractors, the focus will be on those handling hazardous chemicals that include companies for which outsourcing requires approval. Methods: This study uses the 9th wave of the Industrial Safety and Health Survey (2018). For determining the degree of risk exposure, the occurrence of industrial accidents, and industrial accident rate, multivariate, logistic, and fractional logit, regression analyses were used, respectively. Results: First, In-house contractors' degree of risk exposure is higher than that of the client companies. In particular, this gap is even greater for companies dealing with chemicals. Second, among only those that handle hazardous chemicals, in-house contractors do show a significantly higher rate of industrial accident occurrence. Third, In-house contractors have a significantly higher rate of industrial accidents from diseases than client companies. Conclusion: The analysis supports the intent of the legal amendment that strengthens the protection of in-house contracted workers who handle hazardous chemicals. Second, the results of this study suggest that safety and health management must go beyond legal compliance and ensure that it has substance and effectiveness. Last, there should be policy consideration is necessary to reduce attempts to hide industrial accidents.

Assessment and spatial variation of water quality using statistical techniques: Case study of Nakdong river, Korea

  • Kim, Shin
    • Membrane and Water Treatment
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    • 제13권5호
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    • pp.245-257
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    • 2022
  • Water quality characteristics and their spatial variations in the Nakdong River were statistically analyzed by multivariate techniques including correlation analysis, CA, and FA/PCA based on water quality parameters for 17 sites over 2017-2019, yielding PI values for primary factors. Site 10 indicated the highest parameter concentrations, and results of pearson's correlation analysis suggest that non-biodegradable organic matter had been distributed on the site. Five clusters were identified in order of descending pollution levels: I (Ib > Ia) > II (IIa > IIb) > III. Spatial variations started from sub-cluster Ib in which Daegu city and Geumho-river are joined. T-P, PO4-P, SS, COD, and TOC corresponded to VF 1 and 2, which were found to be principal components with strong influence on water quality. Sub-cluster Ib was strongly influenced by NO3-N and T-N compared to other clusters. According to the PIs, water quality pollution deteriorated due to non-biodegradable organic matter, nitrogen- and phosphorus-based nutrient salts in the middle and lower reaches, illustrating worsening water pollution due to inflows of anthropogenic sources on the Geumho-river, i.e., sewage and wastewater, discharged from Site 10, at which there is a concentration of urban, agricultural, and industrial areas.

Assessment of concrete macrocrack depth using infrared thermography

  • Bae, Jaehoon;Jang, Arum;Park, Min Jae;Lee, Jonghoon;Ju, Young K.
    • Steel and Composite Structures
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    • 제43권4호
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    • pp.501-509
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    • 2022
  • Cracks are common defects in concrete structures. Thus far, crack inspection has been manually performed using the contact inspection method. This manpower-dependent method inevitably increases the cost and work hours. Various non-contact studies have been conducted to overcome such difficulties. However, previous studies have focused on developing a methodology for non-contact inspection or local quantitative detection of crack width or length on concrete surfaces. However, crack depth can affect the safety of concrete structures. In particular, although macrocrack depth is structurally fatal, it is difficult to find it with the existing method. Therefore, an experimental investigation based on non-contact infrared thermography and multivariate machine learning was performed in this study to estimate the hidden macrocrack depth. To consider practical applications for inspection, an experiment was conducted that considered the simulated piloting of an unmanned aerial vehicle equipped with infrared thermography equipment. The crack depths (10-60 mm) were comparatively evaluated using linear regression, gradient boosting, and random forest (AI regression methods).