Study on Strategy Improvement of Yeast Transformation Experiment Based on ANP Method

2012 ◽  
Vol 217-219 ◽  
pp. 931-936
Author(s):  
Xu Yang ◽  
Ya Ming Wang ◽  
Peng Zhao ◽  
Xu Ya Yu

Combining with the influential index system of yeast transformation experiment, ANP method was adopted to solve the strategy improvement problem of yeast transformation experiment. Based on conclusion of existed study, the influential index system of yeast transformation experiment is developed combining with the fundamental experiments and interviews of experts in such fields. Then based on ANP theory, comparison of influential factors in the yeast transformation experiments is made, and strategies of improving the experiment are obtained in order to achieve economical goal. Adopting such system and method in the yeast transformation experiment, the number of such experiment could be effectively reduced and thus the cost of the whole experiment, and also the effect of the experiment are good, so the theory and method could be used in the familiar experiment.

2012 ◽  
Vol 209-211 ◽  
pp. 460-465 ◽  
Author(s):  
Dong Wang ◽  
Zhong Yong Liao

The paper studies the low carbon decoration engineering construction and analysis the influential factors of it. To realize the low carbon decoration engineering construction, the paper establishes the evaluation index system of the low carbon decoration engineering construction by the three level indexes.


2018 ◽  
Vol 29 (5) ◽  
pp. 685-705 ◽  
Author(s):  
Haiqing Hu ◽  
Chun-Ping Chang ◽  
Minyi Dong ◽  
Wei-Na Meng ◽  
Yu Hao

In recent years, a growing strand of China’s listed companies chose to disclose environmental information, which may potentially affect their financial performance then further influence its performance of financial supports. To quantitatively investigate the impact of enterprise’s environmental information disclosure on the ability of firms’ borrowing in China, this paper divides the measurements of information disclosure into five categories and evaluates firms’ performance in capital market through its availability of a loan and the cost of capital. In total, 97 listed energy-intensive companies in China are selected and their data covering the period of 2000–2014 are utilized for empirical study. The empirical results indicate that enterprise’s environmental information disclosure appears to have a significantly positive effect on the loan size available, while the cost of capital is less sensitive to environmental information disclosure. The empirical evidence also suggests that, among the five aspects of information disclosure measurements, the future plan and monetary information are the most influential factors of the cost of capital.


2018 ◽  
Vol 213 ◽  
pp. 04002
Author(s):  
Hussein M. Ali ◽  
Asif Iqbal

Nowadays the usage of gasoline as an energy resource is one of the most important subjects in the engineering field. A car is one type of energy consumer. Energy is used to build the cars and to running it. The fuel prices are fluctuate, so it seems sensible to explore every avenue towards saving energy in cars making. and study the factors that affect its consumption. The aim of the present work is to explain theoretically the calculation of fuel saving and cost in a car passengers in a greater detail than it has been done before and to describe statistically the affecting factors upon it. A statistical analysis has been used to study the influence of the weight and acceleration of the car upon the fuel consumption. It was shown that the fuel consumption increases linearly with the increase of a car weight and accordingly, the cost per unit travel of the car will increase.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Guofeng Ma ◽  
Zhijiang Wu ◽  
Ming Wu ◽  
Shanshan Shang

PurposeThe purpose of this study is to extract the real requirements of the owner (or users) for the construction project in the operation and maintenance stage completely and accurately and carry out the construction based on the requirements, to make the project status and operation and maintenance requirements (RO&M) consistent after delivered.Design/methodology/approachThis study creatively proposes the operation and maintenance functions deployment (OMFD) under RO&M. In addition, the OPAR (naming is made up of the initials of owners, project, analysis and result) model is constructed to fully identify the requirements of both owners and projects. In this study, three typical construction projects are taken as examples to calculate the correlation strength between project characteristics (PC) and operation and maintenance requirements through the Apriori algorithm, and order parameters are obtained from the cost chain.FindingsThis study found that there are significant differences in the correlation strength between 11 types of RO&M and PC, in which the “cost of types” (TC) correlation of residential housing and factory buildings is the largest, while the largest correlation demand of commercial buildings is “safety of types” (TS) and “system” (S). Simultaneously, through the calculation of order parameters, the most influential factors on project characteristics are obtained.Practical implicationsThis study could effectively help the owner (or users) to check whether the delivered project fully satisfy their real requirements and also extract the key technical points to realize RO&M, which can guide the accurate construction of the same type of projects.Originality/valueThis research establishes OPAR model to accurately identify the requirements of the project in the operation and maintenance stage and establishes the association rules between the requirements and the construction scheme, which is helpful for the project to construct under the expected requirements.


Water ◽  
2020 ◽  
Vol 12 (6) ◽  
pp. 1604
Author(s):  
Marcos García-López ◽  
Borja Montano

This research examines the water tariff applied to Spanish households with the aim of determining the adequacy of the river-basin approach established by the water framework directive (WFD). The analysis pays particular attention to Spain’s interregional differences in water prices, as well as determining the most influential factors in household water consumption. The results achieved through minimum ordinary squares and 2-stage least squares show the great influence of relevant factors such as the composition of the household, as the most populated households are penalized by the structure of the rate. In addition, there is evidence of inefficiency of the approach derived from the existence of regional differences, since the prices are higher in those regions where resources are reduced, a fact related to the higher cost of service. Thus, taking into account the excessive attention to the cost of the service, the results obtained allow to propose a change in the rate with the aim of balancing prices between regions taking into account factors such as the structure of the household or income.


2017 ◽  
Vol 14 (3) ◽  
pp. 237-248
Author(s):  
Ali Azadeh ◽  
Maryam Sattarian ◽  
Azadeh Arjmand

Purpose To achieve the optimum performance of electric transmission power system performance, the possibility of generators’ failure and the consequences are amongst the most important and real assumptions which should be taken into consideration. This paper aims to recognize the most influential factors on generators’ failures that can have a deep effect on the total cost and environmental issues. The integrated proposed approach is useful for investigating the generators’ failure effects on the performance of electric power transmission grids from the economic and environmental perspectives. In other words, the cost and pollution minimization policies are considered to decrease the unfavorable generators’ failure effects on electric power flow. Design/methodology/approach The data used in this study are gathered from a real case in USA in first step, the influential generator points that their failure has a significant effect on the objective function, have been recognized. Then, different failure scenarios are defined, and the optimum values in each of these scenarios through the GAMS modeling software are found. Consequently, by using a two-level factorial design approach, the critical generators across the power grid are determined. Findings The results show that by using such information, it is possible to detect the significant nodes in the power system grid and have a better maintenance plan. In addition, by means of this analysis and changing the capacity of main generators, it is possible to significantly reduce the operation costs. By comparing the indexes in case of the generator’s location, it seems that some of them are critical because of their capacity and position in the network (as their failure causes infeasibility in the model). Also, some of these deficiencies caused considerable index changes and critical consequences. Practical implications The integrated proposed approach is useful for investigating the generators’ failure effects on the performance of electric power transmission grids from the economic and environmental perspectives. In other words, the cost and pollution minimization policies are considered to decrease the unfavorable generators’ failure effects on electric power flow. Social implications This paper endeavors to recognize the most influential factors on generators’ failures that can have a deep effect on the total cost and environmental issues. Originality/value The integrated proposed approach is useful for investigating the generators’ failure effects on the performance of electric power transmission grids from the economic and environmental perspectives. In other words, the cost and pollution minimization policies are considered to decrease the unfavorable generators’ failure effects on electric power flow.


Vaccine ◽  
2016 ◽  
Vol 34 (18) ◽  
pp. 2106-2112 ◽  
Author(s):  
Adriaan Blommaert ◽  
Joke Bilcke ◽  
Lander Willem ◽  
Jan Verhaegen ◽  
Herman Goossens ◽  
...  

2019 ◽  
Vol 13 (3) ◽  
pp. 467-482
Author(s):  
Alejandro Romero-Torres

Purpose The purpose of this paper is to overlook influential factors associated with the collaboration itself, and to explore the effect of these factors on inter-organizational relationship. Design/methodology/approach This paper analyses two different technology projects requiring inter-organization collaboration for implementing medicine traceability: end-to-end verification system and e-pedigree. Based on a survey where 72 pharmaceutical organizations exposed their perceptions about each technological project, collaboration factors are identified. Findings This paper shows that pharmaceutical organizations in this study perceived differently the cost and benefits from traceability project. Organizations involved experience neither organizational nor technological proximity, impacting negatively collaboration in the inter-organizational project. Practical implications To strengthen collaboration, organization from different levels should consider how close they are each other, and this is at the geographic, organizational and technological level. Geographic proximity is defined as physical closeness, organizational proximity can be understood as the degree to which organizations are similar in interests and structure, and technological proximity concerns the similarity between the systems used to mediate communication and store information. Originality/value This paper presents empirical evidence on inter-organizational collaboration for industrial projects (i.e. implementing medicine traceability systems). It demonstrates proximity is a significant factor in producing inter-organizational collaboration success. Indeed, organizations experiencing proximity have a better knowledge of actors involved in the inter-organization project.


2020 ◽  
Vol 21 (4) ◽  
pp. 279-291
Author(s):  
Gim Gee Teng ◽  
Wei-Chuen Tan-Koi ◽  
Di Dong ◽  
Cynthia Sung

Aim: Concerns for fatal severe cutaneous adverse reactions (SCARs) hamper allopurinol use. Methods and material: We adopted a health system perspective to evaluate the cost–effectiveness of HLA-B*58:01 genotyping before allopurinol initiation. A decision tree compared three treatment strategies in gout patients with chronic kidney disease who have higher risk for SCAR. They were standard allopurinol treatment followed by febuxostat in nonresponders, test-positive patients receive febuxostat while test-negative receive allopurinol and universal use of febuxostat. Results: The first strategy was the most cost effective. Genotyping dominated universal febuxostat use. Time horizon and SCAR incidence were the most influential factors on the incremental cost–effectiveness ratio. Conclusion: HLA-B*58:01 genotyping compared with standard allopurinol–febuxostat sequential treatment does not provide good value for money in gout with chronic kidney disease.


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