8 results match your criteria Applied Mathematical Modelling[Journal]

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Effect of pollutant source location on air pollutant dispersion around a high-rise building.

Appl Math Model 2020 May 15;81:582-602. Epub 2020 Jan 15.

Centre for Infrastructure Engineering, School of Computing, Engineering and Mathematics, Western Sydney University, Penrith, NSW 2751, Australia.

This article investigates the dispersion of airborne pollutants emitted from different locations near a high-rise building. A Computational Fluid Dynamics (CFD) model for simulating the wind flow field and the pollutant dispersion was developed and validated by wind tunnel data. Then the spreading of the pollutant emitted from different locations to a rectangular-shaped high-rise residential (HRR) building was numerically studied. Read More

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http://dx.doi.org/10.1016/j.apm.2020.01.019DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7111480PMC

Chaos in a nonautonomous eco-epidemiological model with delay.

Appl Math Model 2020 Mar 8;79:865-880. Epub 2019 Nov 8.

Department of Mathematics, Faculty of Science, King Abdulaziz University, Jeddah, Saudi Arabia.

In this paper, we propose and analyze a nonautonomous predator-prey model with disease in prey, and a discrete time delay for the incubation period in disease transmission. Employing the theory of differential inequalities, we find sufficient conditions for the permanence of the system. Further, we use Lyapunov's functional method to obtain sufficient conditions for global asymptotic stability of the system. Read More

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http://dx.doi.org/10.1016/j.apm.2019.11.006DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7116913PMC
March 2020
2.251 Impact Factor

Accounting for data sparsity when forming spatially coherent zones.

Appl Math Model 2019 Aug;72:537-552

Sustainable Agricultural Systems, Rothamsted Research, Harpenden, AL5 2JQ, UK.

Efficient farm management can be aided by the identification of zones in the landscape. These zones can be informed from different measured variables by ensuring a sense of spatial coherence. Forming spatially coherent zones is an established method in the literature, but has been found to perform poorly when data are sparse. Read More

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http://dx.doi.org/10.1016/j.apm.2019.03.030DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6559136PMC

Random variables with moment-matching staircase density functions.

Appl Math Model 2018 Jul;64:196-213

Aeroelasticity Branch, NASA Langley Research Center, Hampton, VA 23681, USA.

This paper proposes a family of random variables for uncertainty modeling. The variables of interest have a bounded support set, and prescribed values for the first four moments. We present the feasibility conditions for the existence of any of such variables, and propose a class of variables that conforms to such constraints. Read More

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http://dx.doi.org/10.1016/j.apm.2018.07.029DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7039250PMC

Optimal control analysis of a tuberculosis model.

Appl Math Model 2018 Jun 29;58:47-64. Epub 2017 Dec 29.

Department of Mathematics, Sichuan University, Chengdu, Sichuan 610064, PR China.

In this paper, we extend the model of Liu and Zhang (Math Comput Model 54:836-845, 2011) by incorporating three control terms and apply optimal control theory to the resulting model. Optimal control strategies are proposed to minimize both the disease burden and the intervention cost. We prove the existence and uniqueness of optimal control paths and obtain these optimal paths analytically using Pontryagin's Maximum Principle. Read More

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http://dx.doi.org/10.1016/j.apm.2017.12.027DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7117058PMC

Adaptive dispersal effect on the spread of a disease in a patchy environment.

Authors:
Chang-Yuan Cheng

Appl Math Model 2017 Jul 14;47:17-30. Epub 2017 Mar 14.

Department of Applied Mathematics, National Pingtung University, Pingtung 900, Taiwan, ROC.

During outbreaks of a communicable disease, people intensely follow the media coverage of the epidemic. Most people attempt to minimize contact with others, and move themselves to avoid crowds. This dispersal may be adaptive regarding the intensity of media coverage and the population numbers in different patches. Read More

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http://dx.doi.org/10.1016/j.apm.2017.03.004DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7125817PMC

Disease control in a food chain model supplying alternative food.

Appl Math Model 2013 Apr 13;37(8):5653-5663. Epub 2012 Dec 13.

Department of Applied Mathematics, University of Calcutta, Kolkata, West Bengal, India.

Necessity to find a non-chemical method of disease control is being increasingly felt due to its eco-friendly nature. In this paper the role of alternative food as a disease controller in a disease induced predator-prey system is studied. Stability criteria and the persistence conditions for the system are derived. Read More

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http://dx.doi.org/10.1016/j.apm.2012.11.017DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7117010PMC

A Monte Carlo/response surface strategy for sensitivity analysis: application to a dynamic model of vegetative plant growth.

Appl Math Model 1989 Aug;13:479-84

Department of Resource Crop, Soon Chun National University, Junnam, Republic of Korea.

We describe the application of a strategy for conducting a sensitivity analysis for a complex dynamic model. The procedure involves preliminary screening of parameter sensitivities by numerical estimation of linear sensitivity coefficients, followed by generation of a response surface based on Monte Carlo simulation. Application is to a physiological model of the vegetative growth of soybean plants. Read More

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http://dx.doi.org/10.1016/0307-904x(89)90096-6DOI Listing
August 1989
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