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Journal articles on the topic 'Population modeling approaches'

Author: Grafiati

Published: 4 June 2021

Last updated: 18 February 2022

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1

Arino, Ovide, and Marek Kimmel. "Comparison of Approaches to Modeling of Cell Population Dynamics." SIAM Journal on Applied Mathematics 53, no. 5 (1993): 1480–504. http://dx.doi.org/10.1137/0153069.

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2

Kimura, Daniel K. "Approaches to Age-Structured Separable Sequential Population Analysis." Canadian Journal of Fisheries and Aquatic Sciences 47, no. 12 (1990): 2364–74. http://dx.doi.org/10.1139/f90-263.

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Modern statistical methods are being used more often to perform age-structured separable sequential population analysis (SSPA). This paper describes how some of these methods can be easily understood from a unified point of view. The approach is to begin with the now standard separable age-structured model, and modify some of the basic assumptions. The resulting models are examined using Monte Carlo simulation, with the mean square error of modeled biomass estimates used as the evaluation criterion. Simulation results indicate that nonlinear least squares and multinomial maximum likelihood are

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3

Uchmaski, Uchmaski J. "Single population dynamics: differences between classical and individual-based modeling approaches." rej 21, no. 1 (2012): 197–201. http://dx.doi.org/10.15298/rusentj.21.2.14.

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4

Wu, Jincheng, and Emmanuel S. Tzanakakis. "Deconstructing stem cell population heterogeneity: Single-cell analysis and modeling approaches." Biotechnology Advances 31, no. 7 (2013): 1047–62. http://dx.doi.org/10.1016/j.biotechadv.2013.09.001.

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5

GILBERT, BRIAN A., KENNETH J. RAEDEKE, JOHN R. SKALSKI, and ANGELA B. STRINGER. "Modeling Black-Tailed Deer Population Dynamics Using Structured and Unstructured Approaches." Journal of Wildlife Management 71, no. 1 (2007): 144–54. http://dx.doi.org/10.2193/2005-567.

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6

Cimler, Richard, Hana Tomaskova, Jitka Kuhnova, Ondrej Dolezal, Pavel Pscheidl, and Kamil Kuca. "Numeric, Agent-based or System Dynamics Model? Which Modeling Approach is the Best for Vast Population Simulation?" Current Alzheimer Research 15, no. 8 (2018): 789–97. http://dx.doi.org/10.2174/1567205015666180202094551.

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Background: Alzheimer’s disease is one of the most common mental illnesses. It is posited that more than 25% of the population is affected by some mental disease during their lifetime. Treatment of each patient draws resources from the economy concerned. Therefore, it is important to quantify the potential economic impact. Methods: Agent-based, system dynamics and numerical approaches to dynamic modeling of the population of the European Union and its patients with Alzheimer’s disease are presented in this article. Simulations, their characteristics, and the results from different modeling too

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Fuchs, Johann, Doris Söhnlein, and Patrizio Vanella. "Migration Forecasting—Significance and Approaches." Encyclopedia 1, no. 3 (2021): 689–709. http://dx.doi.org/10.3390/encyclopedia1030054.

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Migration is defined as the permanent change in an individual’s usual residence. Forecasting migration is an important requisite for population forecasts or for planning in fields that depend on the future size and structure of the population, such as economics, epidemiology, social insurance, or infrastructure. As migration is the most volatile of all demographic components, its modeling is especially difficult. International migration can be modeled and forecast very differently; users should be familiar with the flaws and strengths of these different approaches.

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Williams, M. C., T. P. Meloy, and M. Tarshan. "Solution Approaches to the Dynamic, Population Balance Modeling of Grinding with Transport." KONA Powder and Particle Journal 11 (1993): 157–63. http://dx.doi.org/10.14356/kona.1993018.

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9

Asikainen, A., D. Briggs, J. Kukkonen, and M. Jantunen. "Approaches for if Modeling: if Distributions Across Population, Geographic Area, and Time." Epidemiology 17, Suppl (2006): S28. http://dx.doi.org/10.1097/00001648-200611001-00029.

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Shamaeva, Ekaterina. "On Methodological Approaches to Modeling the Quality of Life." Living Standards of the Population in the Regions of Russia 17, no. 1 (2021): 87–101. http://dx.doi.org/10.19181/lsprr.2021.17.1.7.

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In recent decades, it has become obvious that an ecological catastrophe is rapidly approaching civilization and the continued existence and development of mankind depends on it. It has long been understood in society that environmental factors affect the standard and quality of life of the population. Modeling the relationship of this influence is an interdisciplinary task that requires the removal of a number of methodological restrictions. Among them: effective data collection and monitoring, the choice of a measurement system, "noisiness" of data. The purpose of the work is to analyze the c

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Nasar, Zara, and Syed Waqar Jaffry. "Trust-Based Situation Awareness: Comparative Analysis of Agent-Based and Population-Based Modeling." Complexity 2018 (2018): 1–17. http://dx.doi.org/10.1155/2018/9540726.

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In recent years, to comprehend and analyze complex systems, multiagent systems modeling and simulation are being widely used across various disciplines. Two major approaches used for multiagent systems modeling and simulation are agent-based modeling (ABM) and population-based modeling (PBM). In multiagent community, it is a silent assumption that both approaches represent similar dynamics for large population size. One of the recent studies from literature has reported similar results for a model of situation awareness spread in multiagent systems. Trust is a significant factor that affects a

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12

Stamatakis, Michail. "Cell population balance, ensemble and continuum modeling frameworks: Conditional equivalence and hybrid approaches." Chemical Engineering Science 65, no. 2 (2010): 1008–15. http://dx.doi.org/10.1016/j.ces.2009.09.054.

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13

Williams, M. C., T. P. Meloy, and M. Tarshan. "Solution approaches to the dynamic population balance modeling of a closed grinding network." International Journal of Mineral Processing 44-45 (March 1996): 237–48. http://dx.doi.org/10.1016/0301-7516(95)00029-1.

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14

Zuo, Fenghua, Jun Li, and Xiaoyong Sun. "Exploring Population Pharmacokinetic Modeling with Resampling Visualization." BioMed Research International 2014 (2014): 1–9. http://dx.doi.org/10.1155/2014/585687.

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Background. In the last decade, population pharmacokinetic (PopPK) modeling has spread its influence in the whole process of drug research and development. While targeting the construction of the dose-concentration of a drug based on a population of patients, it shows great flexibility in dealing with sparse samplings and unbalanced designs. The resampling approach has been considered an important statistical tool to assist in PopPK model validation by measuring the uncertainty of parameter estimates and evaluating the influence of individuals.Methods. The current work describes a graphical di

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15

ZHAO, HENRY, and ZHILAN FENG. "IDENTIFYING OPTIMAL VACCINATION STRATEGIES VIA ECONOMIC AND EPIDEMIOLOGICAL MODELING." Journal of Biological Systems 27, no. 04 (2019): 423–46. http://dx.doi.org/10.1142/s0218339019400011.

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Vaccination is among the most effective means of preventing and controlling infectious disease outbreaks. Mathematical models can be used to identify the optimal allocation of vaccine among various groups when host populations are heterogeneous. Population heterogeneity may affect individual decision-making and government policy. We show that mixing among sub-populations can profoundly influence the optimal vaccination allocation. Centralized and decentralized programs are examined, accounting for individual behavior and economic constraints. We also compare approaches to modeling transitions

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16

Shatsky, A. A., A. S. Ponyashova, and K. D. Zanina. "Approaches to Regulation of Population Security with Sport Facilities." Social’naya politika i sociologiya 19, no. 4 (2020): 68–75. http://dx.doi.org/10.17922/2071-3665-2020-19-4-68-75.

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the relevance of the study is determined by the need to identify the number and the specific structure of sports facilities on the territory to search for approaches to the system of management decisions. A substantiated choice of the specific structure of sports facilities and their number contributes of increasing the efficiency of investment in the construction of new and reconstruction of existing sports facilities, allows more efficient use of the existing infrastructure of the public sector of physical activity and sports work. In this regard, the subject of the study is rationing as a t

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17

Ellner, S. P., B. A. Bailey, G. V. Bobashev, A. R. Gallant, B. T. Grenfell, and D. W. Nychka. "Noise and Nonlinearity in Measles Epidemics: Combining Mechanistic and Statistical Approaches to Population Modeling." American Naturalist 151, no. 5 (1998): 425–40. http://dx.doi.org/10.1086/286130.

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18

Russu, A., I. Poggesi, R. Gomeni, and G. De Nicolao. "Bayesian Population Modeling of Phase I Dose Escalation Studies: Gaussian Process Versus Parametric Approaches." IEEE Transactions on Biomedical Engineering 58, no. 11 (2011): 3156–64. http://dx.doi.org/10.1109/tbme.2011.2164614.

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19

Ellner, Bailey, Bobashev, Gallant, Grenfell, and Nychka. "Noise and Nonlinearity in Measles Epidemics: Combining Mechanistic and Statistical Approaches to Population Modeling." American Naturalist 151, no. 5 (1998): 425. http://dx.doi.org/10.2307/2463521.

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20

Augustin, Jean-Christophe, Rachel Ferrier, Bernard Hezard, Adrienne Lintz, and Valérie Stahl. "Comparison of individual-based modeling and population approaches for prediction of foodborne pathogens growth." Food Microbiology 45 (February 2015): 205–15. http://dx.doi.org/10.1016/j.fm.2014.04.006.

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21

Васильев, Andrey Vasilyev, Луцци, and Sergio Luzzi. "Estimation of Noise Influence to the Health of Population: Italian and Russian Approache." Safety in Technosphere 5, no. 5 (2016): 22–26. http://dx.doi.org/10.12737/24147.

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Negative noise influence to the population health is increasing every year. Italian and Russian approaches to noise influence estimation are described. Acoustic comfort in urban areas cannot be completely separated by other factors influencing the quality of life. Results of estimation of noise influence are presented. Modeling of noise propagation and noise mapping in Russia are considered. Formalization and modeling of transport flows it is suggested to do by using of influence diagrams. Example of transport noise estimation in Italy is described.

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22

Belkhir, Sophia, Frederic Thomas, and Benjamin Roche. "Darwinian Approaches for Cancer Treatment: Benefits of Mathematical Modeling." Cancers 13, no. 17 (2021): 4448. http://dx.doi.org/10.3390/cancers13174448.

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One of the major problems of traditional anti-cancer treatments is that they lead to the emergence of treatment-resistant cells, which results in treatment failure. To avoid or delay this phenomenon, it is relevant to take into account the eco-evolutionary dynamics of tumors. Designing evolution-based treatment strategies may help overcoming the problem of drug resistance. In particular, a promising candidate is adaptive therapy, a containment strategy which adjusts treatment cycles to the evolution of the tumors in order to keep the population of treatment-resistant cells under control. Mathe

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23

Tran, Quyen Thi, So Jung Park, Hyun-moon Back, et al. "Clinical Evaluation of Acetaminophen–Galgeuntang Interaction Based on Population Approaches." Pharmaceutics 12, no. 12 (2020): 1182. http://dx.doi.org/10.3390/pharmaceutics12121182.

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Galgeuntang (GGT), a traditional herbal medicine, is widely co-administered with acetaminophen (AAP) for treatment of the common cold, but this combination has not been the subject of investigation. Therefore, we investigated the herb–drug interaction between GGT and AAP by population pharmacokinetics (PKs) modeling and simulation studies. To quantify PK parameters and identify drug interactions, an open label, three-treatment, three-period, one-sequence (AAP alone, GGT alone, and AAP and GGT in combination) clinical trial involving 12 male healthy volunteers was conducted. Ephedrine (EPD), th

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24

Hrytsiuk, Petro. "THE LIMITS TO GROWTH OR THE GROWTH OF LIMITS." International Journal of New Economics and Social Sciences 4, no. 2 (2016): 92–98. http://dx.doi.org/10.5604/01.3001.0010.4542.

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The article discusses the problem of existence of the limit of human population number. A comparative analysis of different approaches to the population growth modeling. The logistic model for the dynamics of Earth population growth was built.

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25

Reed, Fennis, Andrea Gaughan, Forrest Stevens, Greg Yetman, Alessandro Sorichetta, and Andrew Tatem. "Gridded Population Maps Informed by Different Built Settlement Products." Data 3, no. 3 (2018): 33. http://dx.doi.org/10.3390/data3030033.

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The spatial distribution of humans on the earth is critical knowledge that informs many disciplines and is available in a spatially explicit manner through gridded population techniques. While many approaches exist to produce specialized gridded population maps, little has been done to explore how remotely sensed, built-area datasets might be used to dasymetrically constrain these estimates. This study presents the effectiveness of three different high-resolution built area datasets for producing gridded population estimates through the dasymetric disaggregation of census counts in Haiti, Mala

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26

Slater, P. B. "Equilibrium and Nonequilibrium Statistical Thermodynamical Approaches to Modeling Spatial Interaction Dynamics." Environment and Planning A: Economy and Space 24, no. 3 (1992): 441–46. http://dx.doi.org/10.1068/a240441.

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Spatial interaction modeling can be embedded in the framework of statistical thermodynamics. This has been shown in part by Wilson and by Erlander, in particular. However, to complete the embedding, it is necessary to ask the dynamic question of how a migratory population evolves over time from one (observed) distribution at time t0 to another (observed) distribution at time t1, rather than just the question of how many people who started in one area at t0 ended in another at t1—with no regard to the intermediate locations of the migrants. The manner in which such evolutionary processes are ad

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27

Nascimben, Mauro, Manolo Venturin, and Lia Rimondini. "Double-stage discretization approaches for biomarker-based bladder cancer survival modeling." Communications in Applied and Industrial Mathematics 12, no. 1 (2021): 29–47. http://dx.doi.org/10.2478/caim-2021-0003.

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Abstract Bioinformatic techniques targeting gene expression data require specific analysis pipelines with the aim of studying properties, adaptation, and disease outcomes in a sample population. Present investigation compared together results of four numerical experiments modeling survival rates from bladder cancer genetic profiles. Research showed that a sequence of two discretization phases produced remarkable results compared to a classic approach employing one discretization of gene expression data. Analysis involving two discretization phases consisted of a primary discretizer followed by

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28

Dai, Kael, Sergey L. Gratiy, Yazan N. Billeh, et al. "Brain Modeling ToolKit: An open source software suite for multiscale modeling of brain circuits." PLOS Computational Biology 16, no. 11 (2020): e1008386. http://dx.doi.org/10.1371/journal.pcbi.1008386.

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Experimental studies in neuroscience are producing data at a rapidly increasing rate, providing exciting opportunities and formidable challenges to existing theoretical and modeling approaches. To turn massive datasets into predictive quantitative frameworks, the field needs software solutions for systematic integration of data into realistic, multiscale models. Here we describe the Brain Modeling ToolKit (BMTK), a software suite for building models and performing simulations at multiple levels of resolution, from biophysically detailed multi-compartmental, to point-neuron, to population-stati

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29

BUFFONI, GIUSEPPE, and SARA PASQUALI. "ON MODELING THE GROWTH DYNAMICS OF A STAGE STRUCTURED POPULATION." International Journal of Biomathematics 06, no. 06 (2013): 1350039. http://dx.doi.org/10.1142/s1793524513500393.

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A Lagrangian modeling approach is applied to the numerical simulation of the temporal dynamics of a stage-structured population. The growth dynamics is determined only by the main biological processes: development of an individual, mortality, reproduction. Different approaches in modeling the development process of an individual are implemented: stochastic advection-diffusion models (backward–forward dispersion models), and stochastic development models where regression effects, defined as negative development on the status of an individual, are forbidden (forward dispersion models). Some prop

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Silverman, Eric. "Bringing ALife and Complex Systems Science to Population Health Research." Artificial Life 24, no. 3 (2018): 220–23. http://dx.doi.org/10.1162/artl_a_00264.

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Despite tremendous advancements in population health in recent history, human society currently faces significant challenges from wicked health problems. These are problems where the causal mechanisms at play are obscured and difficult to address, and consequently they have defied efforts to develop effective interventions and policy solutions using traditional population health methods. Systems-based perspectives are vital to the development of effective policy solutions to seemingly intractable health problems like obesity and population aging. ALife in particular is well placed to bring int

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KIMMEL, MAREK. "WHY MATHEMATICS IS NEEDED TO UNDERSTAND COMPLEX GENETICS DISEASES." Journal of Biological Systems 10, no. 04 (2002): 359–80. http://dx.doi.org/10.1142/s0218339002000688.

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We discuss mathematical approaches to population genetics and evolutionary theory in the context of complex genetic disease. Mechanisms, which we discuss, include gene-environment interaction in lung cancer as well as classical mechanisms of stabilization of genetic disease such as overdominance, antagonistic pleiotropy and recurring mutations. Specific modeling approaches discussed include: (1) Mathematical model of the evolution of disease chromosome applied to mapping of a disease gene. (2) Iterated Galton–Watson branching process applied to modeling of trinucleotide expansion in triplet-re

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32

Payne, Elizabeth H., James W. Hardin, Leonard E. Egede, Viswanathan Ramakrishnan, Anbesaw Selassie, and Mulugeta Gebregziabher. "Approaches for dealing with various sources of overdispersion in modeling count data: Scale adjustment versus modeling." Statistical Methods in Medical Research 26, no. 4 (2015): 1802–23. http://dx.doi.org/10.1177/0962280215588569.

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Overdispersion is a common problem in count data. It can occur due to extra population-heterogeneity, omission of key predictors, and outliers. Unless properly handled, this can lead to invalid inference. Our goal is to assess the differential performance of methods for dealing with overdispersion from several sources. We considered six different approaches: unadjusted Poisson regression (Poisson), deviance-scale-adjusted Poisson regression (DS-Poisson), Pearson-scale-adjusted Poisson regression (PS-Poisson), negative-binomial regression (NB), and two generalized linear mixed models (GLMM) wit

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33

Cheung, S. C. P., L. Deju, G. H. Yeoh, and J. Y. Tu. "Modeling of bubble size distribution in isothermal gas–liquid flows: Numerical assessment of population balance approaches." Nuclear Engineering and Design 265 (December 2013): 120–36. http://dx.doi.org/10.1016/j.nucengdes.2013.08.049.

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34

Magliocco, Gaëlle, Frédérique Rodieux, Jules Desmeules, Caroline Flora Samer, and Youssef Daali. "Toward precision medicine in pediatric population using cytochrome P450 phenotyping approaches and physiologically based pharmacokinetic modeling." Pediatric Research 87, no. 3 (2019): 441–49. http://dx.doi.org/10.1038/s41390-019-0609-z.

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35

Halpin, Terry. "Object-Role Modeling." International Journal of Information System Modeling and Design 1, no. 1 (2010): 33–57. http://dx.doi.org/10.4018/jismd.2010092302.

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Object-Role Modeling (ORM) is an approach for modeling and querying information at the conceptual level, and for transforming ORM models and queries to or from other representations. Unlike attribute-based approaches such as Entity-Relationship (ER) modeling and class modeling within the Unified Modeling Language (UML), ORM is fact-oriented, where all facts and rules are modeled in terms of natural sentences easily understood and validated by nontechnical business users. ORM’s modeling procedure facilitates validation by verbalization and population with concrete examples. ORM’s graphical nota

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36

Beauducel, André, and Norbert Hilger. "Overcoming Limitations of the Independent Clusters Model for CFA by Means of Bayes-Estimation and Buffered Simple Structure." International Journal of Statistics and Probability 9, no. 4 (2020): 62. http://dx.doi.org/10.5539/ijsp.v9n4p62.

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The model of buffered simple structure is discussed as a method for modeling cross-loadings in confirmatory factor analysis. This method introduces assumptions from item sampling theory into confirmatory factor analysis. The independent clusters model, buffered simple structure, and Bayes estimation were compared by means of a simulation study based on three different population types. Population type A had zero cross-loadings, population type B had symmetrically distributed nonzero cross-loadings, and population type C had asymmetrically distributed nonzero cross-loadings. It turned out for p

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37

Lee, Hui-Hua, Kevin R. Piner, Mark N. Maunder, Ian G. Taylor, and Richard D. Methot. "Evaluation of alternative modelling approaches to account for spatial effects due to age-based movement." Canadian Journal of Fisheries and Aquatic Sciences 74, no. 11 (2017): 1832–44. http://dx.doi.org/10.1139/cjfas-2016-0294.

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Spatial patterns due to age-specific movement have been a source of unmodelled process error. Modeling movement in spatially explicit stock assessments is feasible, but hampered by a paucity of data from appropriate tagging studies. This study uses simulation analyses to evaluate alternative model structures that either explicitly or implicitly account for the process of time-varying age-based movement in a population dynamics model. We simulated synthetic populations using a two-area stochastic population dynamics operating model. Simulated data were fit in seven different estimation models.

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38

Knisely, Benjamin M., and Monifa Vaughn-Cooke. "Virtual Modeling of User Populations and Formative Design Parameters." Systems 8, no. 4 (2020): 35. http://dx.doi.org/10.3390/systems8040035.

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Human variability related to physical, cognitive, socio-demographic, and other factors can contribute to large differences in human performance. Quantifying population heterogeneity can be useful for designers wishing to evaluate design parameters such that a system design is robust to this variability. Comprehensively integrating human variability in the design process poses many challenges, such as limited access to a statistically representative population and limited data collection resources. This paper discusses two virtual population modeling approaches intended to be performed prior to

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39

Frisman, E. Ya, O. L. Zhdanova, M. P. Kulakov, G. P. Neverova, and O. L. Revutskaya. "Mathematical Modeling of Population Dynamics Based on Recurrent Equations: Results and Prospects. Part I." Biology Bulletin 48, no. 1 (2021): 1–15. http://dx.doi.org/10.1134/s1062359021010064.

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Abstract Approaches to modeling population dynamics using discrete-time models are described in this two-part review. The development of the scientific ideas of discrete time models, from the Malthus model to modern population models that take into account many factors affecting the structure and dynamics, is presented. The most important and interesting results of recurrent equation application to biological system analysis obtained by the authors are given. In the first part of this review, the population dynamic effects that result from density-dependent regulation of population, the age an

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Noguera, Daniel R., Satoshi Okabe, and Cristian Picioreanu. "Biofilm modeling: present status and future directions." Water Science and Technology 39, no. 7 (1999): 273–78. http://dx.doi.org/10.2166/wst.1999.0369.

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Biofilm models are commonly used as simulation tools in engineering applications and as research tools to identify and fill gaps in our knowledge of biofilm processes. While models used in engineering applications rely on simplifying assumptions to make them practical, recent experimental evidence of biofilm heterogeneity questions the validity of these assumptions. On the other hand, research models are becoming more complex and use advanced computational tools to mathematically investigate which factors determine the structural heterogeneity and the population dynamics of biofilms. One of th

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Qiu, Xueting, Venkata R. Duvvuri, and Justin Bahl. "Computational Approaches and Challenges to Developing Universal Influenza Vaccines." Vaccines 7, no. 2 (2019): 45. http://dx.doi.org/10.3390/vaccines7020045.

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The traditional design of effective vaccines for rapidly-evolving pathogens, such as influenza A virus, has failed to provide broad spectrum and long-lasting protection. With low cost whole genome sequencing technology and powerful computing capabilities, novel computational approaches have demonstrated the potential to facilitate the design of a universal influenza vaccine. However, few studies have integrated computational optimization in the design and discovery of new vaccines. Understanding the potential of computational vaccine design is necessary before these approaches can be implement

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Bartolucci, Al, Sejong Bae, Karan Singh, and H. Randall Griffith. "An examination of Bayesian statistical approaches to modeling change in cognitive decline in an Alzheimer's disease population." Mathematics and Computers in Simulation 80, no. 3 (2009): 561–71. http://dx.doi.org/10.1016/j.matcom.2009.09.002.

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43

Wang, Xiao, Kiah Hardcastle, Seth H. Weinberg, and Gregory D. Smith. "Population Density and Moment-based Approaches to Modeling Domain Calcium-mediated Inactivation of L-type Calcium Channels." Acta Biotheoretica 64, no. 1 (2015): 11–32. http://dx.doi.org/10.1007/s10441-015-9271-y.

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Wania, F., M. J. Binnington, and M. S. Curren. "Mechanistic modeling of persistent organic pollutant exposure among indigenous Arctic populations: motivations, challenges, and benefits." Environmental Reviews 25, no. 4 (2017): 396–407. http://dx.doi.org/10.1139/er-2017-0010.

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Indigenous Arctic populations experience elevated exposures to many environmental contaminants compared with groups residing in southern Canada. This is largely due to consumption of traditional foods, some of which (ringed seals, beluga whales, narwhals, etc.) have relatively high concentrations of persistent organic pollutants. Models of contaminant fate, transport, and bioaccumulation represent powerful tools to explore this exposure issue, wherein combined models can be used to mechanistically and dynamically describe the entire sequence of events linking chemical emissions into the enviro

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Verhagen, Philip, Maurice de Kleijn, and Jamie Joyce. "Different Models, Different Outcomes? A Comparison of Approaches to Land Use Modeling in the Dutch Limes." Heritage 4, no. 3 (2021): 2081–104. http://dx.doi.org/10.3390/heritage4030118.

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Current advances in spatial simulation bring unprecedented possibilities for spatio-temporal modeling. In this paper, we focus on modeling the impact of settlement on land use in the Roman period in the Dutch river area, on the northern frontier of the Roman Empire. During this period, the area witnessed a strong population increase that put more demands on the available land to produce food, not only for the local population, but also for the soldiers stationed on the frontier and the citizens of the newly founded towns. We compare an agent-based model (ABM) of agricultural production in the

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Bao, Yuhua. "Predicting the Use of Outpatient Mental Health Services: Do Modeling Approaches Make a Difference?" INQUIRY: The Journal of Health Care Organization, Provision, and Financing 39, no. 2 (2002): 168–83. http://dx.doi.org/10.5034/inquiryjrnl_39.2.168.

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Studies attempting to project the impact of providing health coverage to the uninsured population have demonstrated considerable variation in the estimated costs of mental health care. Different modeling approaches to project health care use and costs have been shown to address some data characteristics well, but not all of them. Using data from Health Care for Communities, a recent national household survey, this paper attempts to estimate and predict the use of mental health outpatient services if insurance coverage were extended to the uninsured. The study employs two-part models, with the

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Khochenkova, Yu A., I. G. Dyrda, Yu S. Machkova, et al. "New approaches in 3D modeling of in vitro growth of primary cultures of malignant gliomas." Advances in molecular oncology 6, no. 4 (2019): 69–74. http://dx.doi.org/10.17650/2313-805x-2019-6-4-69-74.

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Background. The incidence of brain gliomas firmly occupies a leading position among all central nervous system tumors – 40–50 % of the cases detected, more than half of them are glioblastoma. Existing cell lines and cultivation methods do not reflect all the features of the three-dimensional (3D) organization of native glioblastoma. The use of temozolomide leads to the development of drug resistance and acute relapse, followed by a poor clinical outcome. The development of resistance is largely associated with the presence of tumor stem cells in the population and intratumoral heterogeneity. O

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Ma, Kun, Guangwei Ren, Khalid Mateen, Danielle Morel, and Philippe Cordelier. "Modeling Techniques for Foam Flow in Porous Media." SPE Journal 20, no. 03 (2015): 453–70. http://dx.doi.org/10.2118/169104-pa.

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Summary Foam, a dispersion of gas in liquid, has been investigated as a tool for gas-mobility and conformance control in porous media for a variety of applications since the late 1950s. These applications include enhanced oil recovery, matrix-acidization treatments, gas-leakage prevention, as well as contaminated-aquifer remediation. To understand the complex physics of foam in porous media and to implement foam processes in a more-controllable way, various foam-modeling techniques were developed in the past 3 decades. This paper reviews modeling approaches obtained from different publications

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Sadegh, M., and J. A. Vrugt. "Approximate Bayesian Computation in hydrologic modeling: equifinality of formal and informal approaches." Hydrology and Earth System Sciences Discussions 10, no. 4 (2013): 4739–97. http://dx.doi.org/10.5194/hessd-10-4739-2013.

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Abstract. In recent years, a strong debate has emerged in the hydrologic literature how to properly treat non-traditional error residual distributions and quantify parameter and predictive uncertainty. Particularly, there is strong disagreement whether such uncertainty framework should have its roots within a proper statistical (Bayesian) context using Markov chain Monte Carlo (MCMC) simulation techniques, or whether such a framework should be based on a quite different philosophy and implement informal likelihood functions and simplistic search methods to summarize parameter and predictive di

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Stevens, Elizabeth R., Qinlian Zhou, Glen B. Taksler, Kimberly A. Nucifora, Marc Gourevitch, and R. Scott Braithwaite. "An Alternative Mathematical Modeling Approach to Estimating a Reference Life Expectancy." MDM Policy & Practice 4, no. 1 (2019): 238146831881476. http://dx.doi.org/10.1177/2381468318814769.

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Background. Reference life expectancies inform frequently used health metrics, which play an integral role in determining resource allocation and health policy decision making. Existing reference life expectancies are not able to account for variation in geographies, populations, and disease states. Using a computer simulation, we developed a reference life expectancy estimation that considers competing causes of mortality, and is tailored to population characteristics. Methods. We developed a Monte Carlo microsimulation model that explicitly represented the top causes of US mortality in 2014

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