• Title, Summary, Keyword: alternative factor

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Development of Model for the Alternative Selection of Port Privatization (항만 민영화 대안 선정을 위한 모형개발)

  • Baek, In-Hum
    • Journal of Fisheries and Marine Sciences Education
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    • v.26 no.6
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    • pp.1442-1450
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    • 2014
  • The aim of this study is to develop a model for the alternative selection in port privatization using Brainstorming, the ISM and AHP methods. For this, 30 detailed attributing factors were identified by both previous studies and port users, Also, 13 attributing evaluation factors were identified by a group of port experts using the brainstorming method. These were made into a model of hierarchical structure with 3 levels, taking 1 goal factor, 5 evaluation factors and 7 alternative factors using the ISM method. The collected date of questionnaires through the AHP method were analyzed with a group of port experts for an empirical analysis. The result of the hierarchical level 2 shows that profitability is the most important factor, followed by public interest, management professionality, service quality and financial soundness. The analysis results of hierarchical level 3 shows that commercialization is the most important factor.

Computing Fractional Bayes Factor Using the Generalized Savage-Dickey Density Ratio

  • Younshik Chung;Lee, Sangjeen
    • Journal of the Korean Statistical Society
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    • v.27 no.4
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    • pp.385-396
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    • 1998
  • A computing method of fractional Bayes factor (FBF) for a point null hypothesis is explained. We propose alternative form of FBF that is the product of density ratio and a quantity using the generalized Savage-Dickey density ratio method. When it is difficult to compute the alternative form of FBF analytically, each term of the proposed form can be estimated by MCMC method. Finally, two examples are given.

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A Study on the Relations among Stock Return, Risk, and Book-to-Market Ratio (주식수익률, 위험, 장부가치 / 시장가치 비율의 관계에 관한 연구)

  • Kam, Hyung-Kyu;Shin, Yong-Jae
    • Journal of Industrial Convergence
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    • v.2 no.2
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    • pp.127-147
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    • 2004
  • This paper examines the time-series relations among expected return, risk, and book-to-market(B/M) at the portfolio level. The time-series analysis is a natural alternative to cross-sectional regressions. An alternative feature of the time-series regressions is that they focus on changes in expected returns, not on average returns. Using the time-series analysis, we can directly test whether the three-factor model explains time-varying expected returns better than the characteristic-based model. These results should help distinguish between the risk and mispricing stories. We find that B/M is strongly associated with changes in risk, as measured by the Fama and French(1993) three-factor model. After controlling for changes in risk, B/M contains little additional information about expected returns. The evidence suggests that the three-factor model explains time-varying expected returns better than the characteristic-based model.

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Psychometric Properties of the Korean Version of the Kaufman Assessment Battery for Children (한국판 K-ABC의 심리측정학적 조명 : 확인적 요인분석을 중심으로)

  • Moon, Tai Hyong
    • Korean Journal of Child Studies
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    • v.19 no.2
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    • pp.97-113
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    • 1998
  • The purpose of this paper was to evaluate hypothesized alternative models for the factor structure of the Korean Version of the Aberrant Behavior Checklist(K-ABC) using standardized samples. Confirmatory factor analyses of correlated factor models using the Jeroskog method were carried out. Analyses supported the two-factor processing model. When the achievement scale was added, a three factor model (two processing factors and an achievement factor) emerged. When factorially uncorrelated models were analyzed, fit indices proved to be improper.

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A Study of Job Shop Scheduling for Minimizing Tardiness with Alternative Machines (대체기계가 존재하는 Job Shop 일정계획 환경에서 납기지연을 최소화하는 방법에 관한 연구)

  • Kim, Ki-Dong;Kim, Jae-Hong
    • Journal of Industrial Technology
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    • v.28 no.A
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    • pp.51-61
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    • 2008
  • In these days, domestic manufacturers are faced with managerial difficulties such as the increasing competition in their industry and the increasing power of customers. In this situation, they have to satisfy their customers with high quality of their products and meeting due date of their orders. Production of the order within due date is an important factor for improving enterprise competitiveness. The causes of occurrence of tardiness may be wrong product scheduling, unexpected events in field and so on, a way to minimize tardiness is use of alternative machines, overwork, outsourcing and etc.. In this study, we deal with a scheduling problem that can minimize tardiness using alternative machines. This paper provides a mathematical program and a heuristic method for job shop scheduling for minimizing tardiness with alternative machines. And a proposed heuristic method is verified comparing with optimal solution obtained by ILOG CPLEX.

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A Predictive Model using Decision Tree Method on Demand for Alternative Feeding Education by Nurses (의사결정나무분석법을 이용한 간호사의 대체수유교육요구 예측모형)

  • Oh, Jin-A;Yoon, Chae-Min;Kim, Byung-Su
    • Child Health Nursing Research
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    • v.16 no.1
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    • pp.84-92
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    • 2010
  • Purpose: One of the main reasons why mothers quit breast feeding is that the volume of breast milk is inadequate due to insufficiency in suckling. We believe suckling experience may be a factor affecting nipple confusion. So an alternative feeding method, namely cup, spoon, finger, or nasogastric tube feeding may be needed to prevent nipple confusion. The purpose of this study was to construct a predictive model for demand for alternative feeding education by nurses. Methods: A descriptive design with structured self-report questionnaires was used for this study. Data from 175 nurses working in hospitals in Busan were collected between April 1 and 15, 2009. Data were analyzed by decision tree method, one of the data mining techniques using SAS 9.1 and Enterprise Miner 4.3 program. Results: Of the nurses, 81.1% demanded alternative feeding education and 5 factors showed that most of them expressed intention to pay, desire to know about alternative feeding, age, and learning experience. From these results, the derived model is considered appropriative for explaining and predicting demand for alternative feeding education. Conclusion: This confirms that knowledge and compliance in alternative breast feeding for newborn babies should be correct and any inaccuracies or insufficient information should be supplemented.

Nursing Students' Attitudes towards Complementary Alternative Therapy - Q methodological approach - (간호학생의 보완대체요법에 대한 태도 연구 - Q 방법론적 접근 -)

  • Hwang, Yun-Young
    • The Journal of Korean Academic Society of Nursing Education
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    • v.10 no.2
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    • pp.297-307
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    • 2004
  • This study aims to identify the types and type-specific characteristics of subjectivity on complementary alternative therapy of nursing students using Q-methodology and to provide them as basic materials for nursing education. Q-methodology provides a scientific method for identifying perception structures that exist within certain individuals or groups. Thirty C college nursing students' classified 35 selected Q-statements into 9 points standard, according to the level of agreement or disagreement by forced normal distribution. The collected data was analyzed by using a QUNAL PC program. Resultingly, the attitude of nursing students regarding complementary alternative therapy was divided into three types. Type 1 is positive recognition. The students who think the therapy contributes to maintaining and improving health, and is a way to protect human body and improve welfare by enhancing immunity. Type 2 is objective acceptance. The students who think the complementary alternative therapy is effective when it is properly used for specific constitutions in discussion with medical teams after its effects are scientifically reviewed. Type 3 is popularity consideration. The students who put focus on its popular use and regard the therapy as very useful for not only patients but also ordinary healthy people because it is based on the natural and human approach. In conclusion, proposed are studies on influence factor of nursing students' awareness about the complementary alternative therapy and reviews on the effects of the complementary alternative therapy that is applied as nursing intervention.

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Utilizing Case-based Reasoning for Consumer Choice Prediction based on the Similarity of Compared Alternative Sets

  • SEO, Sang Yun;KIM, Sang Duck;JO, Seong Chan
    • The Journal of Asian Finance, Economics, and Business
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    • v.7 no.2
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    • pp.221-228
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    • 2020
  • This study suggests an alternative to the conventional collaborative filtering method for predicting consumer choice, using case-based reasoning. The algorithm of case-based reasoning determines the similarity between the alternative sets that each subject chooses. Case-based reasoning uses the inverse of the normalized Euclidian distance as a similarity measurement. This normalized distance is calculated by the ratio of difference between each attribute level relative to the maximum range between the lowest and highest level. The alternative case-based reasoning based on similarity predicts a target subject's choice by applying the utility values of the subjects most similar to the target subject to calculate the utility of the profiles that the target subject chooses. This approach assumes that subjects who deliberate in a similar alternative set may have similar preferences for each attribute level in decision making. The result shows the similarity between comparable alternatives the consumers consider buying is a significant factor to predict the consumer choice. Also the interaction effect has a positive influence on the predictive accuracy. This implies the consumers who looked into the same alternatives can probably pick up the same product at the end. The suggested alternative requires fewer predictors than conjoint analysis for predicting customer choices.

Atypical Hemolytic Uremic Syndrome in a 13-year-old Lao Girl: A Case Report

  • Kedsatha, Philavanh;Cheong, Hae Il;Choi, Yong
    • Childhood Kidney Diseases
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    • v.23 no.1
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    • pp.43-47
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    • 2019
  • Atypical hemolytic uremic syndrome (aHUS), a rare form of thrombotic microangiopathy, is distinguished from the typical form by the absence of a preceding verotoxin-producing Escherichia coli infection. Notably, aHUS occurs in association with genetic or acquired disorders causing dysregulation of the alternative complement pathway. Patients with aHUS may show the presence of anti-complement factor H (CFH) autoantibodies. This acquired form of aHUS (antiCFH-aHUS) primarily affects children aged 9-13 years. We report a case of a 13-year-old Lao girl with clinical features of aHUS (most likely anti-CFH-aHUS). The initial presentation of the patient met the classical clinical triad of thrombotic microangiopathy (microangiopathic hemolytic anemia, thrombocytopenia, and acute kidney injury) without preceding diarrheal illness. Low serum levels of complement 3 and normal levels of complement 4 indicated abnormal activation of the alternative complement pathway. Plasma infusion and high-dose corticosteroid therapy resulted in improvement of the renal function and hematological profile, although the patient subsequently died of infectious complications. This is the first case report that describes aHUS (possibly anti-CFH-aHUS) in Laos.

Alternative drug therapies are superior to epidermal growth factor receptor -targeted chemotherapeutic drug responses in non-small cell lung cancer

  • Sikdar, Sourav;Khuda-Bukhsh, Anisur Rahman
    • CELLMED
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    • v.3 no.2
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    • pp.10.1-10.8
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    • 2013
  • Cancer is one of the major dreaded diseases causing high mortality. Lung cancer is second in position of all cancer related deaths and mainly divided into two morphologic sub-types: small-cell lung cancer and non-small cell lung cancer (NSCLC). NSCLC is an aggressive neoplasm which hardly responds to any conventional chemotherapy. Epidermal growth factor receptor (EGFR) belongs to the ErbB family of receptor tyrosine kinase that is mainly over-expressed in NSCLC. EGFR is mainly involved in the pathogenesis and progression of different carcinoma. In vivo and in vitro studies suggest that EGFR and EGF like peptides are often over-expressed in human NSCLC and these proteins are able to induce cell transformation. The conventional therapies mostly inhibit the EGFR activity and expression level in human NSCLC with the use of some EGFR-inhibitors like HKI-272, EKB569, CL-387785 etc. and some synthetic chemotherapeutic drugs like erlotinib, gefitinib, plumbagin, docetaxel, cisplatin etc., alone or in combination of two or more drugs. These therapies selectively act by competitive inhibition of the binding of adenosine triphosphate to the tyrosine kinase domain of the EGFR, resulting in inhibition of the EGFR signaling pathway. But these chemotherapeutic drugs have some cytotoxic activities to the normal cells and have some adverse side-effects. Recent studies on some traditional alternative therapies including some herbal and plant extracts, active ingredients like curcumin, different homeopathic drugs, etc. can target EGFR-signalling in NSCLC with less toxic side-effects are being currently developed.