Sensitivity analysis of a new model of carcinogenesis

1992 ◽  
Vol 159 (3) ◽  
pp. 361-375 ◽  
Author(s):  
Frédéric Y. Bois ◽  
Penelope J.E. Compton-Quintana
2020 ◽  
Vol 17 (5) ◽  
pp. 1451-1461 ◽  
Author(s):  
Fazel M. Farimani ◽  
Xiaoyi Mu ◽  
Hamed Sahebhonar ◽  
Ali Taherifard

Abstract Following three generations of buyback contracts, the new model of Iranian petroleum contracts (IPC) was introduced by the Iranian cabinet to incentivize investments in the country. This paper analyzes the fiscal terms of the contract with technical information from one of the candidate fields for licensing. The financial simulation shows that, in general, the IPC resembles more a service contract than a production sharing contract as the contractor’s take is relatively low—below 5% across different scenarios of crude oil price. Second, the IPC is progressive in that as the overall profitability of the project improves the government takes an increasing share of the economic rent. The results are confirmed in a sensitivity analysis of each party’s profitability and takes on oil price, CAPEX, OPEX and the fee.


2005 ◽  
Vol 127 (2) ◽  
pp. 294-301 ◽  
Author(s):  
Thierry Alex Mara ◽  
Eric Fock ◽  
Franc¸ois Garde ◽  
Frank Lucas

This paper deals with a new model of HVAC systems for hourly simulations. The former is derived from a short time step model that is priory described. The hourly model is appraised by comparing its predictions to those of the short time step simulations. Finally, a sensitivity analysis is carried out to understand the cause of the discrepancies between the two models when it occurs. The analysis also allows to identify the factors that mainly affect the system performance.


2015 ◽  
Vol 2015 (7) ◽  
pp. 6008-6010
Author(s):  
Céline Vaneeckhaute ◽  
Filip H.A Claeys ◽  
Erik Meers ◽  
Filip M.G Tack ◽  
Evangelia Belia ◽  
...  

2012 ◽  
Vol 2012 ◽  
pp. 1-17 ◽  
Author(s):  
Maobin Yang ◽  
Zhufan Zhang ◽  
Qiang Li ◽  
Gang Zhang

By incorporating an additional recovery compartment in the SLBS model, a new model, known as the SLBRS model, is proposed in this paper. The qualitative properties of this model are investigated. The result shows that the dynamic behavior of the model is determined by a thresholdℛ0. Specially, virus-free equilibrium is globally asymptotically stable ifℛ0≤1, whereas the viral equilibrium is globally asymptotically stable ifℛ0>1. Next, the sensitivity analysis ofℛ0to four system parameters is also analyzed. On this basis, a collection of strategies are advised for eradicating viruses spreading across the Internet effectively.


2020 ◽  
Vol 12 (17) ◽  
pp. 6805 ◽  
Author(s):  
Paraskevi Ovezikoglou ◽  
Dimitrios Aidonis ◽  
Charisios Achillas ◽  
Christos Vlachokostas ◽  
Dionysis Bochtis

The assessment of an investment is currently carried out by using mainly financial tools. This work presents a new model for the assessment of the sustainability of an industrial investment and focuses on the development of a holistic framework with the use of indicators. With the use of multi-criteria decision analysis, the framework evaluates a total of eighteen (18) alternative indicators in order to select the optimal bundle to be used for the assessment of future industrial investments. The proposed indicators are selected based on relevant data from the literature, taking into account the principles of prevention, planning and designing. The alternatives are assessed over four (4) criteria, namely environment, society, economy and technology, which are grounded on the principles of sustainable development. Depending on the special characteristics of the programme that is foreseen to fund the potential investments, the decision-maker is provided with a hierarchized set of indicators over which the alternative investments could be optimally assessed in parallel with widely used indicators that strictly assess economic performance. In the present work, twelve (12) different scenarios are examined, incorporating different values in the coefficients of the criteria. For the majority of the scenarios examined (a sensitivity analysis is also provided), the alternative indicator that is assessed with the highest score is “Resource Savings”, followed by “Recycling” and “Research, Innovation, Development”.


Entropy ◽  
2020 ◽  
Vol 22 (1) ◽  
pp. 69
Author(s):  
Helton Graziadei ◽  
Antonio Lijoi ◽  
Hedibert F. Lopes ◽  
Paulo C. Marques F. ◽  
Igor Prünster

We examine issues of prior sensitivity in a semi-parametric hierarchical extension of the INAR(p) model with innovation rates clustered according to a Pitman–Yor process placed at the top of the model hierarchy. Our main finding is a graphical criterion that guides the specification of the hyperparameters of the Pitman–Yor process base measure. We show how the discount and concentration parameters interact with the chosen base measure to yield a gain in terms of the robustness of the inferential results. The forecasting performance of the model is exemplified in the analysis of a time series of worldwide earthquake events, for which the new model outperforms the original INAR(p) model.


2011 ◽  
Vol 52-54 ◽  
pp. 583-588
Author(s):  
Le Hong Thai Huynh ◽  
Pavel Němeček

In recent years, a lot of studies on brake of car aims to reduce stress, vibration and noise of the brake on vehicle. In this paper presents a sensitivity analysis of pressure and friction coefficient effect to stress of disc brake. Base on this result, an optimization for brake by stress constraints was performed. The results are shown that the contact area between disc brake and pad also it’s stress and pressure. Studies also have shown relationships between pressure, friction coefficient and stress of brake. After that, we optimize the model of disc brake by stress constraints to obtain the new model better. This is a pre study for studies on dynamic and vibration of disc brake.


Energies ◽  
2020 ◽  
Vol 13 (7) ◽  
pp. 1758
Author(s):  
Miroslav Crnogorac ◽  
Miloš Tanasijević ◽  
Dušan Danilović ◽  
Vesna Karović Maričić ◽  
Branko Leković

Artificial lift methods have applications in oil wells where oil production is no longer possible due to natural reservoir energy, so this necessary energy is added by introducing lift methods. In order to achieve optimum production, the selection of an artificial lift method is very important. This paper uses fuzzy logic as a mathematical and conceptual model for selection of the optimal artificial lift method. The outcome or IF-THEN rules, as the central part of the model, is based on empirical data from the selected oil fields. Results are presented in two ways: according to the surfaces of irregular geometric bodies, and their gravity with the scattering of results, i.e., on smaller and greater possibilities of interpreting results when there are small differences in outputs. Finally, a sensitivity analysis of the model is presented.


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