An Ontology Definition Metamodel based Ripple-Effect Analysis Method for Ontology Evolution

2006 ◽  
Author(s):  
Longfei Jin ◽  
Lei Liu
Keyword(s):  
Ripple Effect ◽  
Analysis Method ◽  
Effect Analysis ◽  
Ontology Evolution

An Economic Ripple Effect Analysis on the 3rd Made 人 Green Fair

2012 ◽  
Vol 13 (2) ◽  
pp. 279-297
Author(s):  
문태형 ◽  
곽영환 ◽  
Jaehwan Kim ◽  
Hyuk-Dae Kwon
Keyword(s):  
Ripple Effect ◽  
Effect Analysis

scholarly journals Observational Study of Medication Error in Outpatient Pharmacy RSUP Dr. Hasan Sadikin Bandung

2017 ◽  
Vol 15 (2) ◽  
pp. 210
Author(s):  
Viki Hestiarini ◽  
Lia Amalia ◽  
Eni Margayani
Keyword(s):  
Medication Error ◽  
Medication Errors ◽  
Drug Information ◽  
Data Entry ◽  
Care Process ◽  
Analysis Method ◽  
Risk Priority Number ◽  
Effect Analysis ◽  
Root Cause ◽  
Cause Of Failure

Medication error can occur at all stages, starting from prescribing, dispensing and administration of drugs. This study aims to assess the medication errors that occur in the pharmaceutical care process and analyze the cause of failure using the root cause analysis method, to improvement action and decrease the incidence of medication errors. The data were completeness prescription, frequency of dispensing error and completeness of drug information. The number of sample was 1100 prescriptions Prescribing errors were found the potential injury 15.69±11.51% and near missed error 0.5±0.55%. At dispensing stage, occur 427 incidences (9.71%), consist of two incidences (0.04%) for validation assessment regulations, 224 incidences (5.09%) of data entry, 113 incidences (2.57%) of retrieval of drugs, 19 incidences (0.43%) of fi ll in drugs, 69 incidences (1.57%) of fi nal check. At dispensing stage, near missed 330 incidences (7.51%) of near missed and 97 incidences (2.21%) of potential injury. Failure mode and effect analysis calculate of risk priority number, the drug retrieval (RPN 210) and data entry (RPN 126) were analyzed root cause of the analysis for man, material, method, facility and environment.

scholarly journals Parameters Assessment of the FMEA Method by Means of Fuzzy Logic

2018 ◽  
Vol 2 (Special edition 2) ◽  
pp. 123-132
Author(s):  
Jasminka Bonato ◽  
Martina Badurina ◽  
Julijan Dobrinić
Keyword(s):  
Fuzzy Logic ◽  
Failure Analysis ◽  
Failure Mode ◽  
Mathematical Function ◽  
Analysis Method ◽  
Effect Analysis ◽  
New Approach ◽  
System Failures ◽  
Numerical Indicator ◽  
Fmea Method

The paper aims at presenting the FMEA method based on the fuzzy technique, representing a new approach to the failure analysis and its effects on the observed system. The FMEA (Failure Mode and Effect Analysis) method has assigned the risks a coefficient i.e. a numerical indicator that very clearly defines the degree of risk. The risk is calculated as a mathematical function of RPN which depends on the effects S, probability O that some case will lead to a failure and to a probability that a failure D can not be detected before its effects are realized. RPN = S O D. The FMEA method, based on the fuzzy logic, makes a more reliable evaluation of the observed system failures possible.

scholarly journals An effect-analysis method for species-dependent coral health status in temperature and ammonia: a case study of Acropora sp., Turbinaria sp., and Porites sp.

2019 ◽  
Vol 93 ◽  
pp. 01002
Author(s):  
U Bussapakorn ◽  
C Petchporn ◽  
R Sompop
Keyword(s):  
Health Status ◽  
Toxicity Testing ◽  
The Other ◽  
Analysis Method ◽  
Acute Effects ◽  
Effect Analysis ◽  
Effects Of Temperature ◽  
Coral Health ◽  
Acute Toxicity Testing

This research aimed to study the effects of temperature and ammonia on the health status of Acropora sp., Turbinaria sp., and Porites sp. by using acute toxicity testing (50% Lethal Concentration: LC50). The acute effects were monitored at temperatures of 30°C and 33°C at 24 and 48 hrs. The concentrations of ammonia varied at 0 0.05 0.07 and 0.1 mgN/L, respectively. The active polyp percentages of Acropora sp. was analyzed with comparison to the health status percentages. According to the findings at 30°C (24 and 48 hrs) and 33°C (24 hrs), the LC50 could not be investigated because the mortality percentages was not below 50%. On the other hand, at 33°C (48 hrs), the LC50 could be evaluated because the mortality percentages exceeded 50%. Therefore, the LC50 at 48 hrs of Acropora sp., Turbinaria sp., and Porites sp. were equal to 0.043, 0.075 and 0.054 mgN/L, respectively.

Analysis of Zhejiang Logistics Industry Spreading Effect Based on Inverse Matrix Coefficient Table

2010 ◽  
Vol 143-144 ◽  
pp. 384-388
Author(s):  
Rui Zhang ◽  
Jun Hu ◽  
Lin Ping Huang
Keyword(s):  
Economic Development ◽  
Zhejiang Province ◽  
Inverse Matrix ◽  
Matrix Coefficient ◽  
Analysis Method ◽  
Spreading Effect ◽  
Effect Analysis ◽  
Logistics Industry ◽  
National Economic ◽  
National Economic Development

With economic globalization, the modern logistics industry has been considered as a key of the national economic development. Based on Inverse Matrix Coefficient Table, using spreading effect analysis method, an empirical study was conducted about the development of logistics industry in Zhejiang Province. The position of the logistics industry was identified in national economic development of Zhejiang Province. The conclusion is that government should give priority to the development of basic industries and bottlenecks industry including of logistics industry.

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