• Title/Summary/Keyword: Adjusted Impact Factor

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Development for Determining Impact Factor with Respect to Traffic Loads of Highway Bridges (고속도로 교량국조물의 통행차량에 의한 충격계수 산정방법 개발)

  • 구봉근;신재인;류택은;이재범;류연종
    • Proceedings of the Korea Concrete Institute Conference
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    • 2001.11a
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    • pp.809-814
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    • 2001
  • In this paper, dynamic properties of a bridge by traffic loads, is proposed as a reasonable method for the determining the impact factor. In addition, impact factors obtained from previous inspection reports were classified by the span length of the bridge, kind of the bridge and type of the bridge and adjusted the result of the impact factor by the statistical method and presented problems. Also, the determining method of the impact fatter using traffic load is proposed and compared the proposed method with the specification code. The method estimating the impact factor by the traffic loads can be efficiently concluded to the response of structure as reflecting the impact factor and saving the investigation cost. Also it is expected to use to maintenance of structures using the usual test of the bridge.

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An Improvement for Impact Factor Determination to Traffic Loads (통행차량에 의한 충격계수 산정방법 개선)

  • Koo, Bong-Kuen;Ryu, Taek-Eun;Lee, Jae-Bum;Ryu, Youn-Jong
    • Journal of the Korea institute for structural maintenance and inspection
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    • v.6 no.2
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    • pp.217-224
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    • 2002
  • This paper is proposed a reasonable method for determining the dynamic properties, the impact factors caused by traffic loads on highway bridges. In addition, the impact factors obtained in previous inspection reports were classified by the span length of the bridge, kind of bridge and type of bridge and the result of the impact factor was adjusted by a statistical method and presented problems. Also, the method for determining the impact factor using traffic load is proposed and the proposed method is compared with the specification code. The method estimating the impact factors due to the traffic loads can efficiently recognize the response of the structure by providing the impact factors and help to save the investigation cost, and also it can be used for the maintenance of structures using the usual test of bridges.

Impact of Preoperative Serum Levels of CA 125 on Epithelial Ovarian Cancer Survival

  • Pradjatmo, Heru
    • Asian Pacific Journal of Cancer Prevention
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    • v.17 no.4
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    • pp.1881-1886
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    • 2016
  • Background: CA125 is very helpful in treatment monitoring and detection of epithelial ovarian cancer (EOC) recurrence. However there is controversy as to its accuracy and optimal usage. What is the impact of the CA125 levels before primary surgery treatment to the survival of patients? This study aimed to detect any association of preoperative serum levels with prognosis and survival in EOC patients. Materials and Methods: Our cohort comprised EOC patients in Dr. Sardjito Hospital, Yogyakarta, Indonesia, who complied with follow up. To explore the effect of preoperative CA125 levels and other variables on survival Cox's regression models were applied. Results: A total of 90 cases of EOC who had surgery were available for follow up. The level of CA125 proved to be a prognostic factor for overall survival of EOC patients, with an adjusted HR of 4.10 (p = 0.03). Adjuvant chemotherapy was another prognostic factor, 1 - 2 cycles having an adjusted HR of 0.17 (p = 0.04) and 3 - 8 cycles HR 0.39 (p = 0.06). Other factors such as age of patients adjusted HR 1.54 (p = 0.32), moderate differentiation (adjusted HR 1.61, p = 0.51) poor differentiation (adjusted HR 3.41, p = 0.15), and stage of disease (adjusted HR 1.98,p=0.27) were statistically not significant. However, this might have been because the power of the study was low. Conclusions: Preoperative level of CA125 is a prognostic factor for overall survival in EOC patients. The best cut-off for prognostic classification of CA125 serum level is 70 U/ml.

A Novel Journal Evaluation Metric that Adjusts the Impact Factors across Different Subject Categories

  • Pyo, Sujin;Lee, Woojin;Lee, Jaewook
    • Industrial Engineering and Management Systems
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    • v.15 no.1
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    • pp.99-109
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    • 2016
  • During the last two decades, impact factor has been widely used as a journal evaluation metric that differentiates the influence of a specific journal compared with other journals. However, impact factor does not provide a reliable metric between journals in different subject categories. For example, higher impact factors are given to biology and general sciences than those assigned to other traditional engineering and social sciences. This study initially analyzes the trend of the time series of the impact factors of the journals listed in Journal Citation Reports during the last decade. This study then proposes new journal evaluation metrics that adjust the impact factors across different subject categories. The proposed metrics possibly provides a consistent measure to mitigate the differences in impact factors among subject categories. On the basis of experimental results, we recommend the most reliable and appropriate metric to evaluate journals that are less dependent on the characteristics of subject categories.

Controlling Factors for Productivity Improvement in Process of Plastic Injection Molding (플라스틱사출성형공정에서의생산성향상을위한제어인자들에관한연구)

  • Kim, Ki-Sun;Ree, Sang-Bok
    • Proceedings of the Korean Society for Quality Management Conference
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    • 2010.04a
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    • pp.62-66
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    • 2010
  • Company which produce the latest plastic products of survival dimension for competitive power security productivity elevation activity hard do. But enterprises is lacking value elevation activity that customer among product special quality is thinking heftily and isn't grasping well adjusted impact factors. So, addition quality failure cost is produced. In this research, investigated impact factor and factors influencing most heftily in quality for productivity elevation. As a result, present example that serve to control well importance benevolence.

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An E-score Development Methodology for Life Cycle Impact Assessment

  • Young-Min Park;Jai-Rip Cho
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.24 no.68
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    • pp.51-65
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    • 2001
  • This study is to make LCIA(Life Cycle Impact Assessment) easier as a methodology of environmental scores(called E-score) that integrated environmental load of each emission substance based on environmental damage such as in human health, ecosystem and resources category. The concept is to analyzes the LCI(Life Cycle Inventory) and defines the level of environment damages for human health, ecosystem and resources to objective impact assessment standard, and makes the base of marginal damage to calculate the damage factor, which can present the indication that can establish the standard value of environmental impact. First, damages to human health are calculated by fate analysis, effect analysis and damage analysis to get the damage factor of health effect as a DALY(Disability Adjusted Life Years) unit. Second, damages to ecosystem are calculated by fate analysis, effect analysis and damage analysis to get the damage factor of the effect as a PDF(Potentially Disappeared Fraction) unit through linking potentially increased disappeared fraction. Third, damages to resources are carried out by resource analysis and damage analysis for linking the lower fate to surplus energy conception to get damage factor as a MJ(Mega Joule) unit. For the ranking of relative environment load level each other, LCIA can be carried out effectively by applying this E-score methodology to the particular emission substances. A case study has been introduced for the emission substances coming out of a tire manufacturer in Korea. It is to show how to work the methodology. Based on such study result, product-designers or producers now can apply the E-scores presented in this study to the substances of emission list, and then calculate the environment load of the product or process in advance at any time and can see the environment performance comparatively and expected to contribute to the environmental improvement in view of environmental pollution prevention.

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A Bibliometric Analysis of Diets and Breast Cancer Research

  • Kotepui, Manas;Wannaiampikul, Sivaporn;Chupeerach, Chaowanee;Duangmano, Suwit
    • Asian Pacific Journal of Cancer Prevention
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    • v.15 no.18
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    • pp.7625-7628
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    • 2014
  • Breast cancer is the most common cancer among women worldwide. The primary aim of this work was to provide an in-depth evaluation of research publications in the field of diets and breast cancer. The impact of economic outcome on national academic productivity was also investigated. Data were retrieved using Pubmed for English-language publications. The search included all research for which articles included words relating to "diets and breast cancer". Population and national income data were obtained from publicly available databases. Impact factors for journals were obtained from Journal Citation Reports$^{(R)}$ (Thomson Scientific). There were 2,396 publications from 60 countries in 384 journals with an impact factor. Among them, 1,652 (68.94%) publications were Original articles. The United States had the highest quantity (51% of total) and highest of mean impact factor (8.852) for publication. Sweden had the highest productivity of publication when adjusted for number of population (6 publications per million population). Publications from the Asian nation increased from 5.3% in 2006 to 14.6% in 2012. The Original article type was also associated with geography (p<0.001; OR=2.183; 95%CI=1.526-3.123), Asian countries produced more proportion of Original articles (82%) than those of rest of the world (67.6%). Diets and breast cancer-associated research output continues to increase annually worldwide including publications from Asian countries. Although the United States produced the most publications, European nations per capita were higher in publication output.

Impact of Nursing Organizational Culture Types on Innovative Behavior and Job Embeddedness Perceived by Nurses (간호사가 지각한 간호조직문화 유형이 혁신행동과 직무착근도에 미치는 영향)

  • Mun, Mi Yeong;Hwang, Seon Young
    • Journal of Korean Academy of Nursing Administration
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    • v.22 no.4
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    • pp.313-322
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    • 2016
  • Purpose: The aim of this study was to determine the impact of nursing organizational culture types on innovative behavior and job embeddedness among clinical nurse. Methods: For this study a descriptive correlational study design was used. Participants were 293 nurses who had more than one year work experience. They were recruited from two university hospitals, one in Seoul and one in Gyeonggi province in 2016. Collected data were analyzed using SPSS/WIN 21.0 statistics program. Results: Hierarchy-oriented culture was the highest type of organizational culture perception and innovation-oriented culture, the lowest. Multiple linear regression analyses showed that, when age and total clinical experience were adjusted for, innovation-oriented culture perception was the most significant factor influencing innovative behavior, followed by task-oriented culture and relation-oriented culture in that order ($R^2$=.33, F=24.50, p<.001). Relation-oriented culture perception was the factor most influencing job embeddedness, followed by task-oriented culture and innovation-oriented culture in that order ($R^2$=.48, F=55.98, p<.001). Conclusion: More systematic and sustained organizational efforts are required to improve the hierarchy-oriented culture highly perceived by nurses and to emphasize innovation-oriented, relation-oriented and task-oriented organizational culture to increase innovative behavior and job embeddedness among clinical nurses.

Impact of Risk Adjustment with Insurance Claims Data on Cesarean Delivery Rates of Healthcare Organizations in Korea (건강보험 청구명세서 자료를 이용한 제왕절개 분만율 위험도 보정의 효과)

  • Lee, Sang-Il;Seo, Kyung;Do, Young-Mi;Lee, Kwang-Soo
    • Journal of Preventive Medicine and Public Health
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    • v.38 no.2
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    • pp.132-140
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    • 2005
  • Objectives: To propose a risk-adjustment model from insurance claims data, and analyze the changes in cesarean section rates of healthcare organizations after adjusting for risk distribution. Methods: The study sample included delivery claims data from January to September, 2003. A risk-adjustment model was built using the 1st quarter data, and the 2nd and 3rd quarter data were used for a validation test. Patients' risk factors were adjusted using a logistic regression analysis. The c-statistic and Hosmer-Lemeshow test were used to evaluate the performance of the risk-adjustment model. Crude, predicted and risk-adjusted rates were calculated, and compared to analyze the effects of the adjustment. Results: Nine risk factors (malpresentation, eclampsia, malignancy, multiple pregnancies, problems in the placenta, previous Cesarean section, older mothers, bleeding and diabetes) were included in the final risk-adjustment model, and were found to have statistically significant effects on the mode of delivery. The c-statistic (0.78) and Hosmer-Lemeshow test ($x^2$=0.60, p=0.439) indicated a good model performance. After applying the 2nd and 3rd quarter data to the model, there were no differences in the c-statistic and Hosmer-Lemeshow $x^2$. Also, risk factor adjustment led to changes in the ranking of hospital Cesarean section rates, especially in tertiary and general hospitals. Conclusion: This study showed a model performance, using medical record abstracted data, was comparable to the results of previous studies. Insurance claims data can be used for identifying areas where risk factors should be adjusted. The changes in the ranking of hospital Cesarean section rates implied that crude rates can mislead people and therefore, the risk should be adjusted before the rates are released to the public. The proposed risk-adjustment model can be applied for the fair comparisons of the rates between hospitals.

A Method for Service Evaluation Based on Fuzzy Theory for Cloud Computing

  • Guo, Liangmin;Luo, Yonglong;He, Xiaokang;Hu, Guiyin;Dong, Yan
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.11 no.4
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    • pp.1820-1840
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    • 2017
  • Aiming at the phenomenon of false information issued by service providers in cloud computing environment, a method for service evaluation based on fuzzy theory is put forward in this paper. According to the quality of services provided by cloud service providers and their behavior during interactions, a trust relationship between cloud service providers and cloud service consumers is established, which can be quantified by using fuzzy theory. The quality of services is evaluated by drawing on the trust relationship. In our method, the recommendation credibility of a cloud service consumer is determined through behavior similarity with evaluators and a praise factor. The introduction of the praise factor better suits the phenomenon of a high-quality service getting more repeat customers. The negative impact of dishonest customers is reduced, and the accuracy of trust and cloud service quality evaluation is improved by introducing a confidence factor that can be dynamically adjusted. The experimental results show that our method can effectively and accurately evaluate the trust value and service quality of providers, while weakening the influence of dishonest consumers, and quickly detect dishonest service providers. This is beneficial for consumers trying to find high quality service providers for similar services.