Gotowe bibliografie tematyczne / Population structure

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Gotowa bibliografia na temat „Population structure”

Autor: Grafiati

Data publikacji: 4 czerwca 2021

Data aktualizacji: 25 lipca 2025

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Artykuły w czasopismach na temat "Population structure"

Fruet, Cecilia, Ella Linxia Müller, Claude Loverdo, and Anne-Florence Bitbol. "Spatial structure facilitates evolutionary rescue by drug resistance." PLOS Computational Biology 21, no. 4 (2025): e1012861. https://doi.org/10.1371/journal.pcbi.1012861.

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Bacterial populations often have complex spatial structures, which can impact their evolution. Here, we study how spatial structure affects the evolution of antibiotic resistance in a bacterial population. We consider a minimal model of spatially structured populations where all demes (i.e., subpopulations) are identical and connected to each other by identical migration rates. We show that spatial structure can facilitate the survival of a bacterial population to antibiotic treatment, starting from a sensitive inoculum. Specifically, the bacterial population can be rescued if antibiotic resis

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Frean, Marcus, Paul B. Rainey, and Arne Traulsen. "The effect of population structure on the rate of evolution." Proceedings of the Royal Society B: Biological Sciences 280, no. 1762 (2013): 20130211. http://dx.doi.org/10.1098/rspb.2013.0211.

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Ecological factors exert a range of effects on the dynamics of the evolutionary process. A particularly marked effect comes from population structure, which can affect the probability that new mutations reach fixation. Our interest is in population structures, such as those depicted by ‘star graphs’, that amplify the effects of selection by further increasing the fixation probability of advantageous mutants and decreasing the fixation probability of disadvantageous mutants. The fact that star graphs increase the fixation probability of beneficial mutations has lead to the conclusion that evolu

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Pfaff, Carrie L., Rick A. Kittles, and Mark D. Shriver. "Adjusting for population structure in admixed populations." Genetic Epidemiology 22, no. 2 (2002): 196–201. http://dx.doi.org/10.1002/gepi.0126.

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Toksanbaeva, Mairash, and Raisa Popova. "Labor resources as a characteristic of labor potential and their structure." Population 25, no. 4 (2022): 151–62. http://dx.doi.org/10.19181/population.2022.25.4.13.

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One of the characteristics of labor potential is the ability to work among its carriers indiv i duals, groups and the population, by which are also studied other characteristics (demography, health, social and economic activity, professional competencies, etc.). On the basis of working capacity is determined the most general indicator of the labor potential of population, namely, labor resources. This indicator is structured according to a number of qualitative parameters. They make it possible to identify labor resources used in public production, as well as unused reserves. Their involvement

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Nazarova, Inna, and Roman Nesterov. "Clients of a HIV-service NPO: structure, typology, behavioral features." Population 26, no. 2 (2023): 153–64. http://dx.doi.org/10.19181/population.2023.26.2.13.

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Every year the number of registered HIV-infected people is increasing, which by the end of 2021 made 851.8 thousand people. In this connection the organization of work on prevention and treatment of HIV infection is relevant. The survey of 6313 representatives of the key group, i.e. clients of HIV servicing NPOs — Russians (4793 people) and citizens of other countries (1520 people) identified the main risk groups, for which it is necessary to work out the principal activity strategies connected with treatment and prevention. Every tenth client of the Charitable Foundation is HIV-infected and h

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Mukherjee, B. N., K. C. Malhotra, M. Roy, S. banerjee, H. Walter, and R. Chakraborty. "Genetic heterogeneity and population structure in eastern India: Red cell enzyme variability in ten Assamese populations." Zeitschrift für Morphologie und Anthropologie 77, no. 3 (1989): 287–96. http://dx.doi.org/10.1127/zma/77/1989/287.

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Skotarczak, E., P. Ćwiertnia, and T. Szwaczkowski. "Pedigree structure of American bison (Bison bison) population." Czech Journal of Animal Science 63, No. 12 (2018): 507–17. http://dx.doi.org/10.17221/120/2017-cjas.

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An effective realization of breeding programs in zoos is strongly determined by completeness of animal pedigree information. The knowledge of pedigree structure allows to maintain optimal genetic variability of a given population. The aim of this study was to estimate the parameters describing the pedigree structure of American bison housed in zoos in the context of further management of the population. Finally, 4269 American bison were analysed (1883 males, 2217 females, and 169 with unknown sex). The registered animals were born between years 1874 and 2013. The following pedigree parameters

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Lehoczky, István, Desiré L. Dalton, József Lanszki, et al. "Assessment of population structure in Hungarian otter populations." Journal of Mammalogy 96, no. 6 (2015): 1275–83. http://dx.doi.org/10.1093/jmammal/gyv136.

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Garbutt, K., and F. A. Bazzaz. "Population niche structure." Oecologia 72, no. 2 (1987): 291–96. http://dx.doi.org/10.1007/bf00379281.

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Ragsdale, Corey S. "REGIONAL POPULATION STRUCTURE IN POSTCLASSIC MEXICO." Ancient Mesoamerica 28, no. 2 (2017): 357–69. http://dx.doi.org/10.1017/s0956536117000013.

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AbstractThe majority of our knowledge about population structure in Mexico during the Postclassic period (a.d. 900–1520) is based on archaeological data. During this time, populations were in contact with each other through extensive trade networks and via the expansion of powerful empires in central and west Mexico. Though archaeological data provides a wealth of information about these relationships, little is known about the effects of these processes on population structure and biological, morphological variation or whether these effects vary across geographic regions. In this study, denta

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Rozprawy doktorskie na temat "Population structure"

Håkansson, Nina. "Population growth : analysis of an age structure population model." Thesis, Linköping University, Department of Mathematics, 2005. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-4392.

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This report presents an analysis of a partial differential equation, resulting from population model with age structure. The existence and uniqueness of a solution to the equation are proved. We look at stability of the solution. The asymptotic behaviour of the solution is treated. The report also contains a section about the connection between the solution to the age structure population model and a simple model without age structure.

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Cole-Showers, Curtis Lanre. "Population structure and demographics in Nigerian populations utilizing Y-chromosome markers." University of the Western Cape, 2014. http://hdl.handle.net/11394/5326.

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Philosophiae Doctor - PhD Nigeria is peopled by ethnically and linguistically diverse populations of which little were known until the last few millennial. The absence of major natural geographical barrier increases the possibility of the populations being affected by the same demographic events. The aim of this thesis was to ascertain the genetic variations and demographics in five major Nigerian populations using Y-markers. This was done by determining the genetic structures of the Afro-asiatic speaking Hausa (n=78) of Northern Nigeria and the Niger Congo speaking populations of Igbo (n=1

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Sester-Huss, Elisabeth Mariko [Verfasser], and Peter [Akademischer Betreuer] Pfaffelhuber. "Population genetic models with selection, fluctuating environments and population structure." Freiburg : Universität, 2020. http://d-nb.info/1206095830/34.

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Piskol, Robert. "Structural and population genetic determinants of RNA secondary structure evolution." Diss., lmu, 2011. http://nbn-resolving.de/urn:nbn:de:bvb:19-130532.

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McVeigh, Helen Patricia. "Mitochondrial DNA and salmonid population structure." Thesis, Queen's University Belfast, 1989. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.352951.

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Watkins, Eleanor Rose. "The population structure of bacterial pathogens." Thesis, University of Oxford, 2015. https://ora.ox.ac.uk/objects/uuid:8ab53aa1-c55f-40bc-ab4f-ec2766b37252.

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Populations of many bacterial pathogens are structured into discrete strains despite frequent genetic exchange. Although insights from several studies suggest that different selection pressures operate in different areas of the genome, few theoretical and conceptual frameworks of bacterial population structure examine the effects of distinct competitive processes acting on different loci in the genome, and fewer still have considered the metabolic genes despite their increasingly-recognised importance in virulence. Buckee et al. (2008) investigated the combined effects of ecological competitio

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Baric, Michelle B. "Population Structure in the Cincinnati area." University of Cincinnati / OhioLINK, 2013. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1367945142.

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Morgan, Lee W. "Allozyme Analysis of Billfish Population Structure." W&M ScholarWorks, 1992. https://scholarworks.wm.edu/etd/1539617645.

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Nussey, Daniel H. "Phenotypic plasticity and population genetic structure in a wild vertebrate population." Thesis, University of Edinburgh, 2005. http://hdl.handle.net/1842/15544.

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My thesis focuses on maternal phenotypic plasticity in two neonatal traits and population genetic structure at different spatial scales in a wild red deer (Cervus elaphus) population on the Isle of Rum, Scotland. Specifically, I present: • An analysis of offspring birth weight-spring temperature plasticity in female red deer using linear regression to measure individual reaction norms. I found evidence of variation in plasticity between females and show that early experiences of high population density reduce female plasticity. • The description of a mixed-effects linear model approach

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Beisswanger, Steffen. "Selection and population structure in Drosophila melanogaster." Diss., [S.l.] : [s.n.], 2006. http://edoc.ub.uni-muenchen.de/archive/00006131.

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Książki na temat "Population structure"

Kōno, Shigemi. Population structure. Ministry of Health and Welfare, 1993.

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White, J., ed. The Population Structure of Vegetation. Springer Netherlands, 1985. http://dx.doi.org/10.1007/978-94-009-5500-4.

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Vietnam. Tỏ̂ng cục thó̂ng kê. and United Nations Population Fund, eds. Population structure and household composition. Statistical Pub. House, 1997.

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Tajuddin, Ahmad Khan Md. Social structure of migrant population. Rajesh Publications, 1999.

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J, White, ed. The Population structure of vegetation. Dr W. Junk Publishers, 1985.

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Dharmalingam, A. Agrarian structure and population in India. Australian National University, 1991.

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Burkina Faso. Bureau central de recensement. Etat et structure de la population. Ministère de l'économie et des finances, 2009.

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Calvin, Goldscheider, ed. Migration, population structure, and redistribution policies. Westview Press, 1992.

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Atsushi, Ōtomo, Sagaza Haruo, and Hayase Yasuko, eds. Population prospects in developing countries: Structure and dynamics. Institute of Developing Economies, 1985.

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Beltramino, Juan Carlos M. The structure and dynamics of Antarctic population. Vantage Press, 1993.

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Części książek na temat "Population structure"

Zheng, Gang, Yaning Yang, Xiaofeng Zhu, and Robert C. Elston. "Population Structure." In Analysis of Genetic Association Studies. Springer US, 2012. http://dx.doi.org/10.1007/978-1-4614-2245-7_9.

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Heerink, Nico. "Age structure of the population." In Population Economics. Springer Berlin Heidelberg, 1994. http://dx.doi.org/10.1007/978-3-642-78571-9_6.

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Ermisch, John F., and Marco Francesconi. "Family structure and children’s achievements." In Population Economics. Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-642-55573-2_9.

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Wu, Pengkun. "Population Structure Challenge: Serious Population Ageing." In Population Development Challenges in China. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-8010-9_4.

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Barton, N., and A. Clark. "Population Structure and Processes in Evolution." In Population Biology. Springer Berlin Heidelberg, 1990. http://dx.doi.org/10.1007/978-3-642-74474-7_5.

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Roberts, D. F. "Haldane and Population Structure." In Human Population Genetics. Springer US, 1993. http://dx.doi.org/10.1007/978-1-4615-2970-5_13.

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Sjödin, Per, Lucie Gattepaille, Pontus Skoglund, Carina Schlebusch, and Mattias Jakobsson. "Analysis of Population Structure." In Human Population Genomics. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-61646-5_3.

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Hill, Martha S., Wei-Jun J. Yeung, and Greg J. Duncan. "Childhood family structure and young adult behaviors." In Population Economics. Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-642-55573-2_10.

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Hansen, Everett M., and Richard C. Hamelin. "Population Structure of Basidiomycetes." In Structure and Dynamics of Fungal Populations. Springer Netherlands, 1999. http://dx.doi.org/10.1007/978-94-011-4423-0_11.

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Drenth, André, and Stephen B. Goodwin. "Population Structure of Oomycetes." In Structure and Dynamics of Fungal Populations. Springer Netherlands, 1999. http://dx.doi.org/10.1007/978-94-011-4423-0_9.

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Streszczenia konferencji na temat "Population structure"

Fernandes, Carlos M., Agostinho C. Rosa, Nuno Fachada, J. L. J. Laredo, and J. J. Merelo. "Particle swarm and population structure." In GECCO '18: Genetic and Evolutionary Computation Conference. ACM, 2018. http://dx.doi.org/10.1145/3205651.3205779.

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Jacobson, Alana. "Population genetic structure ofFrankliniella fusca." In 2016 International Congress of Entomology. Entomological Society of America, 2016. http://dx.doi.org/10.1603/ice.2016.114010.

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BRENNAN, DANIEL S., ELIZABETH J. CROSS, and KEITH WORDEN. "A COMPARISON OF STRUCTURAL SIMILARITY METRICS WITHIN POPULATION-BASED STRUCTURAL HEALTH MONITORING." In Structural Health Monitoring 2023. Destech Publications, Inc., 2023. http://dx.doi.org/10.12783/shm2023/36740.

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Population-based Structural Health Monitoring (PBSHM) aims to gain additional insights into the health of a structure when using data available across a population of similar structures, as compared to the insight available when using only data from a single structure. Before knowledge can be transferred across structures, the similarity between structures (or substructures), within the population must be established. As a result of recent developments within PBSHM, there are now several methodologies for the comparison of structures, including Graph Matching Networks (GMNs) and the Jaccard in

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Limpiti, T., A. Intarapanich, A. Assawamakin, P. Wangkumhang, and S. Tongsima. "Iterative PCA for population structure analysis." In ICASSP 2011 - 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2011. http://dx.doi.org/10.1109/icassp.2011.5946474.

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GARNIS-JONES, SYLVIA, A. V. RAVINDRAN, C. RIPLEY, and B. D. JONES. "PSYCHODERMATOLOGY CLINIC: STRUCTURE AND PATIENT POPULATION." In IX World Congress of Psychiatry. WORLD SCIENTIFIC, 1994. http://dx.doi.org/10.1142/9789814440912_0179.

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Mai, The Tien, and Pierre Alquier. "Understanding the Population Structure Correction Regression." In 4th International Conference on Statistics: Theory and Applications (ICSTA'22). Avestia Publishing, 2022. http://dx.doi.org/10.11159/icsta22.114.

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Kamidi, C. M., R. W. Waineina, C. B. Wasike, D. K. Ngeno, and E. D. Ilatsia. "707. Genetic diversity and population structure of dairy goat populations in Kenya." In World Congress on Genetics Applied to Livestock Production. Wageningen Academic Publishers, 2022. http://dx.doi.org/10.3920/978-90-8686-940-4_707.

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Skakauskas, Vladas. "Large time behavior in a density-dependent population dynamics problem with age structure and child care." In Mathematical Modelling of Population Dynamics. Institute of Mathematics Polish Academy of Sciences, 2003. http://dx.doi.org/10.4064/bc63-0-12.

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Hasegawa, Taku, Naoki Mori, and Keinosuke Matsumoto. "Genetic programming with multi-layered population structure." In GECCO '17: Genetic and Evolutionary Computation Conference. ACM, 2017. http://dx.doi.org/10.1145/3067695.3076048.

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Fernandes, Carlos M., Nuno Fachada, Juan L. J. Laredo, Juan Julian Merelo, Pedro A. Castillo, and Agostinho Rosa. "Revisiting Population Structure and Particle Swarm Performance." In 10th International Joint Conference on Computational Intelligence. SCITEPRESS - Science and Technology Publications, 2018. http://dx.doi.org/10.5220/0006959502480254.

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Raporty organizacyjne na temat "Population structure"

Poterba, James. Population Age Structure and Asset Returns: An Empirical Investigation. National Bureau of Economic Research, 1998. http://dx.doi.org/10.3386/w6774.

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Poos, Jan Jaap, Timo Staeudle, Eleanor Greenway, and Jurgen Batsleer. Spatial distribution, migration, and population structure of North Sea rays. Wageningen University & Research, 2023. http://dx.doi.org/10.18174/632935.

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Piyasatian, Napapan, and Jack C. M. Dekkers. Accuracy of Genomic Prediction when Accounting for Population Structure and Polygenic Effects. Iowa State University, 2013. http://dx.doi.org/10.31274/ans_air-180814-1252.

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Wolc, Anna, Jesus Arango, Petek Settar, et al. Accounting for Complex Population Structure in Pedigree and Genomic Analyses of Laying Chickens. Iowa State University, 2015. http://dx.doi.org/10.31274/ans_air-180814-1323.

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Courbis, Sarah. Population Structure of Island-Associated Pantropical Spotted Dolphins (Stenella attenuata) in Hawaiian Waters. Portland State University Library, 2000. http://dx.doi.org/10.15760/etd.578.

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Brannon, E. L. Population Structure of Columbia River Basin Chinook Salmon and Steelhead Trout, Technical Report 2001. Office of Scientific and Technical Information (OSTI), 2002. http://dx.doi.org/10.2172/818642.

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Morphett, Jane, Alexandra Whittaker, Amy Reichelt, and Mark Hutchinson. Perineuronal net structure as a non-cellular mechanism of affective state, a scoping review. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, 2021. http://dx.doi.org/10.37766/inplasy2021.8.0075.

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Is the perineuronal net structure within emotional processing brain regions associated with changes in affective state? The objective of this scoping review is to bring together the literature on human and animal studies which have measured perineuronal net structure in brain regions associated with emotional processing (such as but not limited to amygdala, hippocampus and prefrontal cortex). Perineuronal nets are a specialised form of condensed extracellular matrix that enwrap and protect neurons (Suttkus et al., 2016), regulate synaptic plasticity (Celio and Blumcke, 1994) and ion homeostasi

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Waples, R. S., P. B. Aebersold, and G. A. Winans. Population genetic structure and life history variability in Oncorhynchus nerka from the Snake River basin: Final report. Office of Scientific and Technical Information (OSTI), 1997. http://dx.doi.org/10.2172/754028.

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Lloyd, Cynthia B. Fertility, Family Size, and Structure: Consequences for Families and Children. Population Council, 1993. http://dx.doi.org/10.31899/pgy1993.1000.

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In 1989 the Population Council began a research project on the consequences of high fertility at the family level and its implications for the next generation. Since its inception, the project has been supported by Swedish SIDA and has involved the collaboration of researchers from selected developing countries. In countries where there has been limited research on this topic, such as India, Mali, Nigeria, Pakistan, and Senegal, the Population Council provided funding for new studies or for analysis of existing data with the potential for producing insights on this topic. In instances where re

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Cranfield, John, Thomas Hertel, James Eales, and Paul Preckel. Changes in the Structure of Global Food Demand. GTAP Working Paper, 2000. http://dx.doi.org/10.21642/gtap.wp01.

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A newly developed demand system is used to estimate the response of food and food product demand to per capita expenditure changes. The resulting Engel elasticities are then used to project food and food product demand in 2020 assuming per capita expenditure and population changes. Results suggest that while food expenditure is projected to grow, it accounts for a smaller proportion of total expenditure. Further analysis indicates change in the composition of food demand away from a grain and towards livestock is projected to occur in lower income countries in 2020.

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