• 제목/요약/키워드: Quantitative Approaches

검색결과 412건 처리시간 0.027초

영적 간호에 관한 국내 연구동향 분석 (Analysis of Research Trends about Spiritual Care in Korea)

  • 유승연
    • 성인간호학회지
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    • 제25권3호
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    • pp.332-343
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    • 2013
  • Purpose: The purpose of this study was to analyze the research trends of spiritual care in Korea and to make suggestions for future studies. Methods: 209 researches from 1981 to 2012 were analyzed. Results: Among the 209 studies reviewed. 74 were thesis studies and 135 for reported research in academic journal. There were 169 quantitative studies, 11 qualitative studies and 29 other types studies. The most frequently used study design was correlational. The majority of study participants were patients, followed by nursing students, nurses or non-medical participants. In the correlation studies, the variable of spiritual well-being had a positive correlation with hope, self-esteem and spiritual nursing care and a negative correlation with depression, anxiety and loneliness. In the experimental studies, the independent variables were spiritual nursing intervention, spiritual care education program and spiritual promoting intervention. The main theme of qualitative studies were the experience of spiritual care, spiritual experience and the most frequent designs were grounded theory, phenomenology and interpretative phenomenology. Conclusion: The domestic research about spiritual care needs to utilize a variety of approaches including concept or tool development study suitable for Korean peoples, multi-disciplinary research, qualitative study and program development study.

The Two-Stage Least Squares Regression of the Interplay between Education and Local Roads on Foreign Direct Investment in the Philippines

  • DIZON, Ricardo Laurio;CRUZ, Zita Ann Escabarte
    • The Journal of Asian Finance, Economics and Business
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    • 제7권4호
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    • pp.121-131
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    • 2020
  • This study aims to investigate the interplay between education and local roads on Foreign Direct Investment (FDI) in the Philippines, using economic growth as an instrument. The study used the quantitative research design applying both descriptive and inferential statistics. A combination of Two Stage Least Square Regression Model and three approaches in Panel Regression Model such as Pooled Least Square, Fixed Effect Model, and Random Effect Model were utilized in order to study the effects of education and local roads on foreign direct investment of the Philippines. Based on Fixed Effect regression results, higher education graduates and local road investments, as conditioned by economic growth, were significant factors in order to increase the foreign direct investment in the Philippines. Accordingly, a unit increase in higher education graduates, as conditioned by economic growth, leads to 8.758 unit increases in the foreign direct investment. While, a unit increased in local road investments, as conditioned by economic growth, leads to a 0.002 decrease in foreign direct investment. The regression results of the study suggest that the Foreign Direct Investment in the regions such as CAR, I, II, IV-B, V, VIII, IX, X, XI, XII, XIII, and ARMM are higher compared to Region IV-A.

Determinants of Capital Structure:The Case in Vietnam

  • VU, Thu Minh Thi;TRAN, Chung Quang;DOAN, Duong Thuy;LE, Thang Ngoc
    • The Journal of Asian Finance, Economics and Business
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    • 제7권9호
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    • pp.159-168
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    • 2020
  • This is a quantitative research, underpinned by the philosophy of natural science and deduction approach that examines the impact of the various aspects of corporate governance mechanism on the choice of capital structure of Vietnamese listed firms. We focus on the effect of factors such as the board size, the board independence, and especially different ownership structures, which include the managerial ownership, the state ownership, the concentrated ownership, and the foreign ownership. They are the main scopes of corporate governance and are supposed to be relevant to determine the corporate financing choice. To explain the causal relationship between factors, we construct the regression model and then test it by using different statistical method approaches, including the pooled OLS, the fixed effects model, and the random effects model. Data are collected from 336 firms with shares listed in the Ho Chi Minh City Stock Exchange in Vietnam, totaling 1583 observations. Overall, the results reveal that the board size, state ownership, and concentrated ownership have positive impact on the firm's capital structure, whereas foreign ownership appears to have negative influence on the capital structure. The research does not find evidence of a the correlation between board independence, managerial ownership and corporate capital struture.

China-ASEAN Trade Relations: A Study of Determinants and Potentials

  • TRAN, Hiep Xuan;HOANG, Nhan Thanh Thi;NGUYEN, Anh Thuy;TRUONG, Hoan Quang;DONG, Chung Van
    • The Journal of Asian Finance, Economics and Business
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    • 제7권9호
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    • pp.209-217
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    • 2020
  • The purpose of this study is to investigate the development and determinants of China-ASEAN trade relations over the period of 2000-2018. Employing both the qualitative and quantitative approaches, the results show that the trade relations between China and the Association of South East Asian Nations (ASEAN) have remarkably developed and rapidly grown over times, with a significantly important concentration on the segments of high technological and medium technological products. We also find that China's economic scale is crucially impacting on the China-ASEAN trade relations under both the aggregate and sub-sector level. It is interesting to notice that there is no evidence to support accession to the World Trade Organization (WTO) and officially forming of ASEAN-China Free Trade Agreement (ACFTA) to enhance trade relation between both sides. The findings also quantitatively indicate that there is much significant potential for the expansion of mutual trade between China and some members of ASEAN such as Brunei, Laos and Malaysia, while less potential is predicted for other members of ASEAN. It is strongly suggested that China and ASEAN should find a new proactive approach and make more efforts in improving the mutual political trusts to enhance trading activities in the coming years.

Sediment Fluxes in Shelf Seas Modelling and Monitoring

  • Prandel, David
    • Journal of the korean society of oceanography
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    • 제37권3호
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    • pp.144-153
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    • 2002
  • This is a review paper, assessing progress reported in a Special Issue (Prandle and Lane, 2000) of Coastal Engineering focusing on simulation of SPM in the North Sea, against issues over a diverse range of shelf seas and their coastal margins. The broad objectives of reproducing the characteristics of sediment fluxes off an open coast and relating these to tidal and wave forcing were achieved. However, accurate computation of these fluxes remains sensitive to largely empirical coefficients used in determining erosion and deposition rates. Bed roughness strongly influences both these coefficients and the associated near-bed current magnitudes (including wave impact thereon). Bed roughness can change significantly over a tidal cycle and dramatically over seasons or in the course of a major event. Accurate simulation of sediment fluxes on a day-to-day basis is constrained by dependency on the initial distribution of mobile sediments. The latter depends on rates and locations of original sources and the time history of preceding events. Remote sensing via aircraft could provide data for assimilation into such models to circumvent these constraints. The approaches described here can be readily applied to other coastal regions to indicate the likely distributions and pathways of known sediment sources. However quantitative simulations will require an associated observational programme. A subsequent stage is to understand the evolving balance between the forecasted sediment movement - the resulting morphological adjustments and thence modifications to the prevailing tidal current and wave regimes.

난류 예혼합 화염에서의 프랙탈 차원의 통계적 특성 (Statistical Characteristics of Fractal Dimension in Turbulent Prefixed Flame)

  • 이대훈;권세진
    • 대한기계학회논문집B
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    • 제26권1호
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    • pp.18-26
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    • 2002
  • With the introduction of Fractal notation, various fields of engineering adopted fractal notation to express characteristics of geometry involved and one of the most frequently applied areas was turbulence. With research on turbulence regarding the surface as fractal geometry, attempts to analyze turbulent premised flame as fractal geometry also attracted attention as a tool for modeling, for the flame surface can be viewed as fractal geometry. Experiments focused on disclosure of flame characteristics by measuring fractal parameters were done by researchers. But robust principle or theory can't be extracted. Only reported modeling efforts using fractal dimension is flame speed model by Gouldin. This model gives good predictions of flame speed in unstrained case but not in highly strained flame condition. In this research, approaches regarding fractal dimension of flame as one representative value is pointed out as a reason for the absence of robust model. And as an extort to establish robust modeling, Presents methods treating fractal dimension as statistical variable. From this approach flame characteristics reported by experiments such as Da effect on flame structure can be seen quantitatively and shows possibility of flame modeling using fractal parameters with statistical method. From this result more quantitative model can be derived.

Dynamic MRM Measurements of Multi-Biomarker Proteins by Triple-Quadrupole Mass Spectrometry with Nanoflow HPLC-Microfluidics Chip

  • Ji, Eun-Sun;Cheon, Mi-Hee;Lee, Ju-Yeon;Yoo, Jong-Shin;Jung, Hyun-Jin;Kim, Jin-Young
    • Mass Spectrometry Letters
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    • 제1권1호
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    • pp.21-24
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    • 2010
  • The development of clinical biomarkers involves discovery, verification, and validation. Recently, multiple reaction monitoring (MRM) coupled with stable isotope dilution mass spectrometry (IDMS) has shown considerable promise for the direct quantification of proteins in clinical samples. In particular, multiple biomarkers have been tracked in a single experiment using MRM-based MS approaches combined with liquid chromatography. We report here a highly reproducible, quantitative, and dynamic MRM system for validating multi-biomarker proteins using Nanoflow HPLC-Microfluidics Chip/Triple-Quadrupole MS. In this system, transitions were acquired only during the retention window of each eluting peptide. Transitions with the highest MRM-MS intensities for the five target peptides from colon cancer biomarker candidates were automatically selected using Optimizer software. Relative to the corresponding non-dynamic system, the dynamic MRM provided significantly improved coefficients of variation in experiments with large numbers of transitions. Linear responses were obtained with concentrations ranging from fmol to pmol for five target peptides.

Time and Cost Analysis for Highway Road Construction Project Using Artificial Neural Networks

  • Naik, M. Gopal;Radhika, V. Shiva Bala
    • Journal of Construction Engineering and Project Management
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    • 제5권1호
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    • pp.26-31
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    • 2015
  • Success of the construction companies is based on the successful completion of projects within the agreed cost and time limits. Artificial neural networks (ANN) have recently attracted much attention because of their ability to solve the qualitative and quantitative problems faced in the construction industry. For the estimation of cost and duration different ANN models were developed. The database consists of data collected from completed projects. The same data is normalised and used as inputs and targets for developing ANN models. The models are trained, tested and validated using MATLAB R2013a Software. The results obtained are the ANN predicted outputs which are compared with the actual data, from which deviation is calculated. For this purpose, two successfully completed highway road projects are considered. The Nftool (Neural network fitting tool) and Nntool (Neural network/ Data Manager) approaches are used in this study. Using Nftool with trainlm as training function and Nntool with trainbr as the training function, both the Projects A and B have been carried out. Statistical analysis is carried out for the developed models. The application of neural networks when forming a preliminary estimate, would reduce the time and cost of data processing. It helps the contractor to take the decision much easier.

Phrase positional effects on F0 peak timing in Tokyo Japanese

  • 조혜선
    • 말소리와 음성과학
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    • 제3권3호
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    • pp.69-75
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    • 2011
  • This paper investigates phrase positional effects on the timing of F0 (pitch) peaks in Tokyo Japanese disyllabic words with varying accent type (HL or LH) and phrase position (final or non final). The F0 peak timing was normalized by the total word duration ('normalized H timing'). The normalized H timing was significantly affected by accent type and phrase position. The H timing was later in the LH accent type than in the HL accent type, and in non final positions than in final positions. In addition, to examine the validity of the quantitative results, different models of phrase position effects were compared by measuring H timing in two approaches: normalization versus relative distance measures. For the normalization measures, the H timing was measured as the time of the F0 peak divided by the total word duration or by the duration of the tone bearing syllable. For the relative distance measures, the H timing was measured as the distance in milliseconds from the end of the word or from the end of the associated syllable. The best model was the normalization by the total word duration, rather than by the duration of the tone bearing syllable. This means that phrase positional effects on the timing of F0 peaks in Japanese disyllabic words are best modeled in terms of proportion of the total word duration.

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QSPR Models for Chromatographic Retention of Some Azoles with Physicochemical Properties

  • Polyakova, Yulia;Jin, Long Mei;Row, Kyung-Ho
    • Bulletin of the Korean Chemical Society
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    • 제27권2호
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    • pp.211-218
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    • 2006
  • This work deals with 24 substances composed of nitrogen-containing heterocycles. The relationships between the chromatographic retention factor (k) and those physicochemical properties which are relevant in quantitative structure-properties relationship (QSPR) studies, such as the polarizability $(\alpha)$, molar refractivity (MR), lipophilicity (logP), dipole moment $(\mu)$, total energy $(E_{tot})$, heat of formation $(\Delta H_f)$, molecular surface area $(S_M)$, and binding energy $(E_b)$, were investigated. The accuracy of the simple linear regressions between the chromatographic retention and the descriptors for all of the compounds was satisfactory (correlation coefficient, $0.8 \leq r \leq 1.0$). The QSPR models of these nitrogen-containing heterocyclic compounds could be predicted with a multiple linear regression equation having the statistical index, r = 1.000. This work demonstrated the successful application of the multiple linear approaches through the development of accurate predictive equations for retention factors in liquid chromatography.