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Relevant bibliographies by topics / Natural selection – Mathematical models

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Academic literature on the topic 'Natural selection – Mathematical models'

Author: Grafiati

Published: 4 June 2021

Last updated: 15 February 2022

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Journal articles on the topic "Natural selection – Mathematical models"

1

Prescott, Tony J., Joanna J. Bryson, and Anil K. Seth. "Introduction. Modelling natural action selection." Philosophical Transactions of the Royal Society B: Biological Sciences 362, no. 1485 (2007): 1521–29. http://dx.doi.org/10.1098/rstb.2007.2050.

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Action selection is the task of resolving conflicts between competing behavioural alternatives. This theme issue is dedicated to advancing our understanding of the behavioural patterns and neural substrates supporting action selection in animals, including humans. The scope of problems investigated includes: (i) whether biological action selection is optimal (and, if so, what is optimized), (ii) the neural substrates for action selection in the vertebrate brain, (iii) the role of perceptual selection in decision-making, and (iv) the interaction of group and individual action selection. A secon

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Gillespie, John H. "Could natural selection account for molecular evolution and polymorphism?" Genome 31, no. 1 (1989): 311–15. http://dx.doi.org/10.1139/g89-049.

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A model of molecular evolution is presented that is based on the combined action of natural selection, genetic drift, and mutation. The mathematical description of the model uses strong-selection, weak-mutation limits to approximate the dynamics of multidimensional diffusion processes with one dimensional Markov chains. This approach leads to a great simplification of the dynamics and provides a unified method for describing many different mechanisms of natural selection. In this paper two models are examined, one based on selection in a randomly fluctuating environment, the other on overdomin

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Velleret, Aurélien. "Individual-based models under various time-scales." ESAIM: Proceedings and Surveys 68 (2020): 123–52. http://dx.doi.org/10.1051/proc/202068007.

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This article is a presentation of specific recent results describing scaling limits of individual- based models. Thanks to them, we wish to relate the time-scales typical of demographic dynamics and natural selection to the parameters of the individual-based models. Although these results are by no means exhaustive, both on the mathematical and the biological level, they complement each other. Indeed, they provide a viewpoint for many classical time-scales. Namely, they encompass the timescale typical of the life-expectancy of a single individual, the longer one wherein a population can be cha

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Gavrilets, Sergey, and William R. Rice. "Genetic models of homosexuality: generating testable predictions." Proceedings of the Royal Society B: Biological Sciences 273, no. 1605 (2006): 3031–38. http://dx.doi.org/10.1098/rspb.2006.3684.

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Homosexuality is a common occurrence in humans and other species, yet its genetic and evolutionary basis is poorly understood. Here, we formulate and study a series of simple mathematical models for the purpose of predicting empirical patterns that can be used to determine the form of selection that leads to polymorphism of genes influencing homosexuality. Specifically, we develop theory to make contrasting predictions about the genetic characteristics of genes influencing homosexuality including: (i) chromosomal location, (ii) dominance among segregating alleles and (iii) effect sizes that di

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Maslov, A. A., A. V. Stolyanov, A. V. Kaychenov, and L. K. Kuranova. "Preparatory selection of sterilization regime for canned "Natural Atlantic Mackerel with Oil" based on the developed mathematical models of the process." Vestnik MGTU 19, no. 4 (2016): 861–68. http://dx.doi.org/10.21443/1560-9278-2016-4-861-868.

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Alves, Rui, Baldiri Salvadó, Ron Milo, Ester Vilaprinyo, and Albert Sorribas. "Maximization of information transmission influences selection of native phosphorelay architectures." PeerJ 9 (June 10, 2021): e11558. http://dx.doi.org/10.7717/peerj.11558.

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Phosphorelays are signal transduction circuits that sense environmental changes and adjust cellular metabolism. Five different circuit architectures account for 99% of all phosphorelay operons annotated in over 9,000 fully sequenced genomes. Here we asked what biological design principles, if any, could explain selection among those architectures in nature. We began by studying kinetically well characterized phosphorelays (Spo0 of Bacillus subtilis and Sln1 of Saccharomyces cerevisiae). We find that natural circuit architecture maximizes information transmission in both cases. We use mathemati

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Wilkie, Kathleen P., and Philip Hahnfeldt. "Mathematical models of immune-induced cancer dormancy and the emergence of immune evasion." Interface Focus 3, no. 4 (2013): 20130010. http://dx.doi.org/10.1098/rsfs.2013.0010.

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Cancer dormancy, a state in which cancer cells persist in a host without significant growth, is a natural forestallment of progression to manifest disease and is thus of great clinical interest. Experimental work in mice suggests that in immune-induced dormancy, the longer a cancer remains dormant in a host, the more resistant the cancer cells become to cytotoxic T-cell-mediated killing. In this work, mathematical models are used to analyse the possible causative mechanisms of cancer escape from immune-induced dormancy. Using a data-driven approach, both decaying efficacy in immune predation a

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Doll, Jason C., and Stephen J. Jacquemin. "Bayesian Model Selection in Fisheries Management and Ecology." Journal of Fish and Wildlife Management 10, no. 2 (2019): 691–707. http://dx.doi.org/10.3996/042019-jfwm-024.

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Abstract Researchers often test ecological hypotheses relating to a myriad of questions ranging from assemblage structure, population dynamics, demography, abundance, growth rate, and more using mathematical models that explain trends in data. To aid in the evaluation process when faced with competing hypotheses, we employ statistical methods to evaluate the validity of these multiple hypotheses with the goal of deriving the most robust conclusions possible. In fisheries management and ecology, frequentist methodologies have largely dominated this approach. However, in recent years, researcher

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Wittmann, Meike J., Alan O. Bergland, Marcus W. Feldman, Paul S. Schmidt, and Dmitri A. Petrov. "Seasonally fluctuating selection can maintain polymorphism at many loci via segregation lift." Proceedings of the National Academy of Sciences 114, no. 46 (2017): E9932—E9941. http://dx.doi.org/10.1073/pnas.1702994114.

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Most natural populations are affected by seasonal changes in temperature, rainfall, or resource availability. Seasonally fluctuating selection could potentially make a large contribution to maintaining genetic polymorphism in populations. However, previous theory suggests that the conditions for multilocus polymorphism are restrictive. Here, we explore a more general class of models with multilocus seasonally fluctuating selection in diploids. In these models, the multilocus genotype is mapped to fitness in two steps. The first mapping is additive across loci and accounts for the relative cont

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Kareva, Irina, and Georgy Karev. "Natural Selection Between Two Games with Applications to Game Theoretical Models of Cancer." Bulletin of Mathematical Biology 81, no. 7 (2019): 2117–32. http://dx.doi.org/10.1007/s11538-019-00592-2.

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Dissertations / Theses on the topic "Natural selection – Mathematical models"

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Murrel, Benjamin. "Improved models of biological sequence evolution." Thesis, Stellenbosch : Stellenbosch University, 2012. http://hdl.handle.net/10019.1/71870.

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Thesis (PhD)--Stellenbosch University, 2012.<br>ENGLISH ABSTRACT: Computational molecular evolution is a field that attempts to characterize how genetic sequences evolve over phylogenetic trees – the branching processes that describe the patterns of genetic inheritance in living organisms. It has a long history of developing progressively more sophisticated stochastic models of evolution. Through a probabilist’s lens, this can be seen as a search for more appropriate ways to parameterize discrete state continuous time Markov chains to better encode biological reality, matching the histor

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Cui, Lixin, and 崔麗欣. "Integrated supplier selection and order allocation incorporating customer flexibility." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2011. http://hub.hku.hk/bib/B47869380.

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Supplier selection and order allocation are significant decisions for a manufacturer to ensure stable material flows in a highly competitive supply chain, in particular when customers are willing to accept products with less desirable product attributes. Hence, this study develops efficient methodologies to solve optimally the integrated supplier selection and order allocation problem incorporating customer flexibility for a manufacturer producing multiple products over a multi-period planning horizon. In this research, a new fuzzy multi-attribute approach is proposed to evaluate customer fle

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Gayley, Todd Warwick. "Genetic models of two-phenotype frequency-dependent selection." Diss., The University of Arizona, 1989. http://hdl.handle.net/10150/184883.

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The aim of this study is to place a wide variety of two-phenotype frequency-dependent selection models into a unified population-genetic framework. This work is used to illuminate the possible genetic constraints that may exist in such models, and to address the question of evolutionary modification of these constraints. The first part of Chapter 1 synthesizes from the literature a general framework for applying a genetic structure to a simple class of two-phenotype models. It shows that genetic constraints may prevent the population from achieving a predicted phenotypic equilibrium, but the p

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Selén, Yngve. "Model selection /." Uppsala : Univ. : Dept. of Information Technology, Univ, 2004. http://www.it.uu.se/research/reports/lic/2004-003/.

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Nagashima, Kazunobu. "Inference system for selection of an appropriate multiple attribute decision making method." Thesis, Kansas State University, 1986. http://hdl.handle.net/2097/9942.

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Merl, Daniel M. "Detecting patterns of natural selection using bayesian generalized linear models /." Diss., Digital Dissertations Database. Restricted to UC campuses, 2006. http://uclibs.org/PID/11984.

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Tamuri, A. U. "Using phylogenetic models to characterise natural selection from molecular data." Thesis, University College London (University of London), 2012. http://discovery.ucl.ac.uk/1378602/.

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Molecular phylogenetics is the application of mathematical and computational techniques to analyse molecular sequences and make inferences about their evolutionary relationships. There is substantial interest in developing probabilistic models of evolution that effectively detect, locate and characterise different type of selection in genes, driven by the relationship of selection to protein structural constraints and function. In this thesis we propose novel approaches that can be used not only to detect the presence of selection but also to characterise its kind and strength. We first develo

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Smith, Andrew Korb. "New results in dimension reduction and model selection." Diss., Atlanta, Ga. : Georgia Institute of Technology, 2008. http://hdl.handle.net/1853/22586.

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Thesis (Ph. D.)--Industrial and Systems Engineering, Georgia Institute of Technology, 2008.<br>Committee Chair: Huo, Xiaoming; Committee Member: Serban, Nicoleta; Committee Member: Shapiro, Alexander; Committee Member: Yuan, Ming; Committee Member: Zha, Hongyuan.

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de, Roulhac Darde Gregoire 1956. "APPLICATION OF COMPUTER GRAPHICS IN THE SELECTION OF RAINFALL FREQUENCY MODELS FOR ENVIRONMENTAL ENGINEERING." Thesis, The University of Arizona, 1987. http://hdl.handle.net/10150/276407.

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Su, Wei, and 蘇薇. "Partner selection and production-distribution planning for the design of optimal supply chain networks." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2008. http://hub.hku.hk/bib/B41757853.

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Books on the topic "Natural selection – Mathematical models"

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Schreiber, Sebastian J. Urn models, replicator process and random genetic drift. Society for Industrial and Applied Mathematics, 2001.

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R, Anderson David, and Burnham Kenneth P, eds. Model selection and multimodel inference: A practical information-theoretic approach. 2nd ed. Springer, 2002.

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author, Anderson David R., and Burnham Kenneth P, eds. Model selection and multimodel inference: A practical information-theoretic approach. Springer, 2002.

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4

Saint-Paul, Gilles. Equilibrium allele distribution in trading populations. IZA, 2006.

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The evolution of life histories: Theory and analysis. Chapman & Hall, 1992.

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missing], [name. Model selection. Institute of Mathematical Statistics, 2003.

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Mathematical models in natural science and engineering. Springer, 2003.

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Neimark, Juri I. Mathematical Models in Natural Science and Engineering. Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-540-47878-2.

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Neimark, Juri I. Mathematical Models in Natural Science and Engineering. Springer Berlin Heidelberg, 2003.

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10

Christiaan Lambert Jan Peter van Raalte. Market formation and market selection. Thesis Publishers, 1996.

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Book chapters on the topic "Natural selection – Mathematical models"

1

Quicke, Donald L. J., Buntika A. Butcher, and Rachel A. Kruft Welton. "Population modelling including spatially explicit models." In Practical R for biologists: an introduction. CABI, 2021. http://dx.doi.org/10.1079/9781789245349.0303.

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Abstract R is an open-source statistical environment modelled after the previously widely used commercial programs S and S-Plus, but in addition to powerful statistical analysis tools, it also provides powerful graphics outputs. R can be used for some quite fast modelling jobs but its speed is nowhere near that of a compiled programming language such as C++. This chapter shows how user-defined functions can be used to perform highly repetitive jobs efficiently, and demonstrates various mathematical functions. The first example shows how a vector can be incremented and the calculated points plotted on a graph as the simulation proceeds. The second example runs a loop, and each time passes values to a user-defined function, and receives back multiple values from that function, which it then stores for plotting later. The third example is necessarily more complex and shows how R code can be used to carry out spatially explicit analyses. Finally, a simple example shows how R can be used to teach how evolution takes place, even in the absence of natural selection due to genetic drift and population bottle-necking.

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Quicke, Donald L. J., Buntika A. Butcher, and Rachel A. Kruft Welton. "Population modelling including spatially explicit models." In Practical R for biologists: an introduction. CABI, 2021. http://dx.doi.org/10.1079/9781789245349.0026.

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Abstract R is an open-source statistical environment modelled after the previously widely used commercial programs S and S-Plus, but in addition to powerful statistical analysis tools, it also provides powerful graphics outputs. R can be used for some quite fast modelling jobs but its speed is nowhere near that of a compiled programming language such as C++. This chapter shows how user-defined functions can be used to perform highly repetitive jobs efficiently, and demonstrates various mathematical functions. The first example shows how a vector can be incremented and the calculated points plotted on a graph as the simulation proceeds. The second example runs a loop, and each time passes values to a user-defined function, and receives back multiple values from that function, which it then stores for plotting later. The third example is necessarily more complex and shows how R code can be used to carry out spatially explicit analyses. Finally, a simple example shows how R can be used to teach how evolution takes place, even in the absence of natural selection due to genetic drift and population bottle-necking.

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Etheridge, Alison. "Selection." In Some Mathematical Models from Population Genetics. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-16632-7_5.

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Christiansen, Freddy Bugge. "Selection in Natural Populations." In Mathematical and Statistical Developments of Evolutionary Theory. Springer Netherlands, 1990. http://dx.doi.org/10.1007/978-94-009-0513-9_3.

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Bacaër, Nicolas. "Fisher and natural selection (1922)." In A Short History of Mathematical Population Dynamics. Springer London, 2011. http://dx.doi.org/10.1007/978-0-85729-115-8_14.

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Wollkind, David J., and Bonni J. Dichone. "Finite Mathematical Models." In Comprehensive Applied Mathematical Modeling in the Natural and Engineering Sciences. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-73518-4_21.

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Bürger, Reinhard. "Mathematical properties of mutation-selection models." In Mutation and Evolution. Springer Netherlands, 1998. http://dx.doi.org/10.1007/978-94-011-5210-5_23.

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Rosser, J. Barkley. "Complexities of Natural Selection Dynamics." In Global Analysis of Dynamic Models in Economics and Finance. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-29503-4_16.

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Shapiro, Jeremy F. "Stochastic Programming Models For Dedicated Portfolio Selection." In Mathematical Models for Decision Support. Springer Berlin Heidelberg, 1988. http://dx.doi.org/10.1007/978-3-642-83555-1_34.

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Khaki-Sedigh, Ali, and Bijan Moaveni. "Appendix: Mathematical Models Used in Examples." In Control Configuration Selection for Multivariable Plants. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-03193-9_8.

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Conference papers on the topic "Natural selection – Mathematical models"

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Kim, Booki, Min-Cheol Ryu, Jun-Hyung Jung, and Yungsup Shin. "Identification of Critical Sea States for Sloshing Model Tests." In SNAME Maritime Convention. SNAME, 2010. http://dx.doi.org/10.5957/smc-2010-t38.

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This paper presents a methodology for identifying a set of irregular sea states for sloshing model test conditions that are most likely to produce large sloshing pressures on tank walls. To identify the critical sea states, the sloshing pseudo-response amplitude operator (RAO) is defined based on the total sloshing wave energy that is the sum of kinetic and potential energies on the free surface. The mathematical model is formulated in the frequency domain within the regime of potential flow theory. A concept of sloshing intensity is then introduced to define the sloshing severity in an irregu

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Ferreira, Deborah, and André Freitas. "Premise Selection in Natural Language Mathematical Texts." In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics. Association for Computational Linguistics, 2020. http://dx.doi.org/10.18653/v1/2020.acl-main.657.

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Corredor M., Lesme, Diego Guillen, José Prada, and Alisson Contreras. "Thermoeconomic Model for the Energy Optimization of Industrial Air Compressed Supply Network Under Transient Condition." In ASME 2012 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/imece2012-88440.

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Air compression represents around 20% of industrial total electric power demand, especially in chemicals and process companies. Few technical studies related with energy optimization of air compressed networks are reported in the specialized literature, in contrast, in natural gas and steam networks have been widely analyzed. Pressure, temperature and flow monitoring of air compression is not enough for implementation of energy optimization models, for this reason authors have developed a transit conditions model which takes into account air supply equipments and air compressed process require

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Assellaou, Hanane, Brahim Ouhbi, and Bouchra Frikh. "Supplier selection problem: A mathematical models story." In 2016 3rd International Conference on Logistics Operations Management (GOL). IEEE, 2016. http://dx.doi.org/10.1109/gol.2016.7731690.

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Schmitz, Tony L. "Improved Sensor Data Utility Through Receptance Coupling Modeling." In ASME 2004 International Mechanical Engineering Congress and Exposition. ASMEDC, 2004. http://dx.doi.org/10.1115/imece2004-59762.

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This paper describes compensation for scaling and frequency distortion errors arising from non-ideal sensor placement on mechanical structures. The mathematical approach is based on receptance coupling techniques for assembly dynamics prediction and offers a hybrid method where measured and modeled component frequency response functions, or receptances, are analytically coupled using rigid, flexible, or flexible/damped compatibility conditions to predict the assembly response at any spatial location. This method offers an alternative to existing finite element analysis packages that can accura

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Chunquan Li, Dingcheng Wang, and Jianhua Jin. "Portfolio selection models based on interval numbers." In The 2015 11th International Conference on Natural Computation. IEEE, 2015. http://dx.doi.org/10.1109/icnc.2015.7378015.

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Osipov, S. V., V. V. Pukhnachev, T. P. Pukhnacheva, Michail D. Todorov, and Christo I. Christov. "Mathematical Models in Dynamics of Incompressible Viscoelastic Media." In APPLICATION OF MATHEMATICS IN TECHNICAL AND NATURAL SCIENCES: Proceedings of the 2nd International Conference. AIP, 2010. http://dx.doi.org/10.1063/1.3526620.

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Zhang, Chun-Xia, and Guan-Wei Wang. "Boosting variable selection algorithm for linear regression models." In 2014 10th International Conference on Natural Computation (ICNC). IEEE, 2014. http://dx.doi.org/10.1109/icnc.2014.6975934.

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Priyadi, Rian, Markus Diantoro, Parno, and M. Reyza Arief Taqwa. "Using argument-driven inquiry learning to improve students’ mental models." In 28TH RUSSIAN CONFERENCE ON MATHEMATICAL MODELLING IN NATURAL SCIENCES. AIP Publishing, 2020. http://dx.doi.org/10.1063/5.0000569.

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Olevska, Yu, V. Mishchenko, and V. Olevskyi. "Mathematical models of magnetite desliming for automated quality control systems." In APPLICATION OF MATHEMATICS IN TECHNICAL AND NATURAL SCIENCES: 8th International Conference for Promoting the Application of Mathematics in Technical and Natural Sciences - AMiTaNS’16. Author(s), 2016. http://dx.doi.org/10.1063/1.4964970.

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Reports on the topic "Natural selection – Mathematical models"

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Wyndham, Amber, Emile Elias, Joel Brown, Michael Wilson, and Albert Rango. Drought Vulnerability Assessment to Inform Grazing Practices on Rangelands of Southeastern Colorado’s Major Land Resource Area 69. USDA Southwest Climate Hub, 2018. http://dx.doi.org/10.32747/2018.6947062.ch.

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Increased climate variability, including more frequent and intense drought, is projected for the southwestern region of the United States. Increased temperatures and reduced precipitation lower soil water availability, resulting in decreased plant productivity and altering species composition, which may affect forage quality and quantity. Reduced forage quality and increased heat stress attributable to warmer temperatures could lead to decreased livestock performance in this system, which is extensively used for livestock grazing. Mitigating the effects of increasing drought is critical to soc

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