Academic literature on the topic 'Artificial population'

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Journal articles on the topic "Artificial population"

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Bachevskaya, L. T., V. V. Pereverzeva та A. A. Primak. "Генетическое разнообразие донорной и интродуцированной популяций кеты Oncorhynchus keta (Walbaum) из рек Яма и Кулькуты (северное побережье Охотского моря)". Bulletin of the North-East Science Center, № 1 (30 березня 2023): 71–78. http://dx.doi.org/10.34078/1814-0998-2023-1-71-78.

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The nucleotide sequences of the mtDNA cytb and COI genes of the chum salmon Oncorhynchus keta (Walbaum) from the rivers of the Sea of Okhotsk northern coast (Yama - donor, Kulkuty - artificially created population) have been determined. Polymorphism of the studied molecular markers has been noted. Unique haplotypes occurring only in one of the studied populations were found. The genetic distance calculated between the Yama and Kulkuty chum salmon populations indicates the absence of statistically significant differences between them. Nevertheless, the genetic diversity in a sample from an artificially created population tends to increase comparing to indicators characterizing the donor population. This may be associated with the formation peculiarities of the Kulkuty chum salmon genetic structure. Besides, the influence of the straying, amounted to 4 %, cannot be excluded. Apparently, haplotypes introduced as a result of inter-population exchange are successfully maintained through artificial reproduction. This has caused some change in the gene pool of the artificial population compared to the donor one.
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Mutharasan, R. Kannan, and Jessica Walradt. "Population Health and Artificial Intelligence." JACC: Advances 3, no. 8 (2024): 101092. http://dx.doi.org/10.1016/j.jacadv.2024.101092.

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Gaponenko, M., A. Gnatiuk, and D. Rakhmetov. "Distinctive features of Ex situ plant populations." Bulletin of Taras Shevchenko National University of Kyiv. Series: Biology 81, no. 2 (2020): 6–10. http://dx.doi.org/10.17721/1728_2748.2020.81.6-10.

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Distinctive features of ex situ plant populations (outside natural habitats) are manifested during the formation and development of groups of individuals mainly in the process of their introduction and acclimatization. The experience and practice of using terms for ex situ plant populations has been analyzed. Information about artificially created plant groups is generalized. The results of the analysis concerning the definition of the term "ex situ plant population" and its use in relation to introduced plants are presented. The list of definitions for the following terms are given: "initial population", "introductive population", "introductive coenotic population", "introduced population", "cultivated populations", "agro population", "cultural population", "hybrid population", "artificial population", "experimental population", "spontaneous population". It has been stated that modeling, forming and copying methods are used to form ex situ plant populations. It has been noted that ex situ plant populations can be formed and developed independently or artificially formed. The scheme of distribution of ex situ plant populations by the degree of genetic integrity, ability to reproduce, duration of existence, size and stage of development, place and style of formation of the initial population is proposed. It has been established that groups of genetically homogeneous individuals of artificial plant groups that freely cross each other and for a long time reproduce offsprings can be characterized as populations. Such populations are the result of purposeful human activity on the introduction and cultivation of plants, and are largely dependent on anthropic influence. The study of their structure and dynamics is a prerequisite for predicting and evaluating the success of introductions and preventing threats of spontaneous propagation and uncontrolled, unwanted naturalization of plants under new growth conditions.
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Vögeli, Matthias, Paola Laiolo, David Serrano, and José L. Tella. "Predation of experimental nests is linked to local population dynamics in a fragmented bird population." Biology Letters 7, no. 6 (2011): 954–57. http://dx.doi.org/10.1098/rsbl.2011.0241.

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Artificial nest experiments (ANEs) are widely used to obtain proxies of natural nest predation for testing a variety of hypotheses, from those dealing with variation in life-history strategies to those assessing the effects of habitat fragmentation on the persistence of bird populations. However, their applicability to real-world scenarios has been criticized owing to the many potential biases in comparing predation rates of artificial and natural nests. Here, we aimed to test the validity of estimates of ANEs using a novel approach. We related predation rates on artificial nests to population viability analyses in a songbird metapopulation as a way of predicting the real impact of predation events on the local populations studied. Predation intensity on artificial nests was negatively related to the species' annual population growth rate in small local populations, whereas the viability of large local populations did not seem to be influenced, even by high nest predation rates. The potential of extrapolation from ANEs to real-world scenarios is discussed, as these results suggest that artificial nest predation estimates may predict demographic processes in small structured populations.
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Severns, Paul M. "Genetic differentiation in an artificial population of the threatened plant Lupinus oreganus (Fabaceae)." Botany 91, no. 5 (2013): 319–22. http://dx.doi.org/10.1139/cjb-2012-0278.

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Reintroduction, supplemental planting for genetic rescue, and the creation of artificial seed production populations are common methods to conserve rare plant species, but empirical studies assessing the effects of artificial selection on genetic diversity are rare. I conducted a retrospective DNA genotyping study on an artificial population (hereinafter Office) of the threatened plant, Lupinus oreganus Heller, to determine whether the process of establishing the Office population facilitated genetic differentiation and if genetic diversity was maintained in the Office cohort. Genotyping indicated that uncommon maternal lineages (cpDNA haplotypes) were selected for in the artificial population and that the Office population was genetically distinct from both seed source patches. Furthermore, despite a small population size of seven individuals, cpDNA haplotype and nDNA simple sequence repeat allelic diversity was maintained in the surviving Office cohort. This study suggests that small artificial rare plant populations may be beneficial for capitalizing on the existing within-population genetic diversity, but they may also select for uncommon allelic diversity and facilitate genetic differentiation.
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Rutila, Jarkko, Jukka Jokimäki, Jesús M. Avilés, and Marja-Liisa Kaisanlahti-Jokimäki. "Responses of Parasitized And Unparasitized Common Redstart (Phoenicurus Phoenicurus) Populations Against Artificial Cuckoo Parasitism." Auk 123, no. 1 (2006): 259–65. http://dx.doi.org/10.1093/auk/123.1.259.

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Abstract Brood parasitism selects for defensive mechanisms that enhance host fitness. Therefore, host populations under different parasitism pressures may express different levels of defense against brood parasites. We tested the rejection responses of currently parasitized and unparasitized Common Redstart (Phoenicurus phoenicurus) populations in Finland to artificial Common Cuckoo (Cuculus canorus) eggs. We predicted a higher level of defense in the parasitized population, but in fact the rejection rate was higher in the nonparasitized population. Nonmimetic artificial eggs were rejected more often than mimetic ones. Desertion probability was higher in the nonparasitized population and was independent of artificial egg type. Common Redstarts in the parasitized population rejected the artificial eggs mostly through ejection, whereas desertion was a more frequent rejection method in the nonparasitized population. Our results suggest that current selection pressures from brood parasites do not always explain the current levels of defense. Respuestas de Poblaciones Parasitadas y No Parasitadas de Phoenicurus phoenicurus Contra el Parasitismo Artificial de Cuculus canorus
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Nosova, M. G., and A. V. Fyodorov. "ARTIFICIAL NEURAL NETWORK FOR POPULATION FORECASTING." Современные наукоемкие технологии (Modern High Technologies), no. 8 2021 (2021): 107–11. http://dx.doi.org/10.17513/snt.38787.

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C, M. Naveen Kumar, and K. Seethamma .K. "Artificial Intelligence: Fuel for Growth in Japan Economy." Shanlax International Journal of Arts, Science and Humanities 6, S1 (2018): 28–31. https://doi.org/10.5281/zenodo.1469455.

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The objective of this paper is to understand the changing trends in population composition in Japan and to understand the advantages of Artificial Intelligence. After examining the literature of Japan’s Total fertility rate and Demographic change it clearly reveals future crisis that Japan Economy may face. Apart from the efforts of Japan Government policies to address population crisis, but it appears a  very little impact to mitigate the decline in Total Fertility Rate. So there is a serious threat in terms of work force and it looks that greater attention should be given to artificial intelligence to bridge the gap between the total population and working population.
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T.Yu., Markina. "THE TEORETICAL BASIS OF HOMEOSTASIS MAINTENANCE IN ARTIFICIAL INSECT POPULATIONS AND CONTROL OF THEIR CONDITION." Біологія та валеологія, no. 19 (December 12, 2017): 58–68. https://doi.org/10.5281/zenodo.1108514.

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Theoretical basis of homeostasis maintenance in artificial insect populations and control of their condition. T. Yu. Markina – The principle of homeostasis as a general property of biological systems at various levels is fully peculiar for artificial insect populations. Features of technocenosis cause some changes in structural parameters of insect cultures. Viability index is suggested to use as the criterion of population condition. Correlation between viability of artificial insect populations and intensity of vital taxis has been proved. The role of taxis in maintaining of population homeostasis is analyzed.  
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Revuelta, Ohiana, Yolanda M. León, Francisco J. Aznar, Juan A. Raga, and Jesús Tomás. "Running against time: conservation of the remaining hawksbill turtle (Eretmochelys imbricata) nesting population in the Dominican Republic." Journal of the Marine Biological Association of the United Kingdom 93, no. 4 (2012): 1133–40. http://dx.doi.org/10.1017/s0025315412001518.

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Saona Island hosts the last hawksbill turtle (Eretmochelys imbricata) nesting population in the Dominican Republic, which has experienced a severe decline in the last decades, mostly due to illegal egg take. Here we present the results of an artificial incubation programme started in 2007 to protect the clutches from human predation. A preliminary survey in 2006 showed that about 60% of clutches laid were taken by humans. Over the study period (2007–2010) we recorded 400 clutches, of which 38.2% were predated by humans, 40.7% were artificially incubated and 21% were incubated in situ. Overall, the artificial incubation programme allowed the release of 12,340 hatchlings. No differences were found in hatching and emergence success between clutches incubated in situ and clutches artificially incubated. However, incubation temperatures and incubation durations recorded suggest a male-biased hatchling sex-ratio in artificially incubated clutches. Although artificial incubation may mitigate the effect of egg take, our results indicate that other measures, such as clutch relocation to protected sections of the beach should be taken. Beach patrolling and education are currently implemented so that artificial incubation will be eventually phased out in favour of in situ incubation.
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Dissertations / Theses on the topic "Artificial population"

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Yeates, G. "Microbial population dynamics of the rhizosphere." Thesis, University of Oxford, 1992. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.334939.

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Huang, Shun. "Using Artificial Neural Networks to Predict One Year Population Mortality Rates." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-254974.

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Being able to predict mortality rates is the key factor in any pension or life insurance companies’ business model. Artificial Neural Networks are already being tested and implemented to predict mortality in the field of medical science, with recent studies showing promising results of their predictive power in one year mortality rates. Today, insurance companies in Sweden utilizes the Makeham curve to model and approximate mortality, traditionally with only age and sex being its input features. This study utilized artificial neural networks to model one year mortality rates that could otherwise be derived from the Makeham curve. Features other than sex and age were also included as a part of this study to introduce more features that could affect mortality rate. The network was successful at modelling the one year mortality rates and it was able to distinguish between age, sex and the newly introduced features. It yielded results that were on par with predictions made by the Swedish branch organization of the private insurance companies.<br>Att kunna förutspå dödlighet är en nyckelfaktor för pensionoch livförsäkringsföretagens affärsmodeller. Man har redan börjat tillämpa och testa artificiella neurala nätverk för att förutspå dödlighet inom medicinska studier. På senare tid har dessa påvisat lovande resultat gällande förutsägningsförmåga för ettårsdödlighet. Idag använder de svenska försäkringsföretagen Makehamkurvan för att modellera dödlighet, traditionellt sett med endast ålder och kön som indata. Artificiella neurala nätverk används i den här studien för att modellera ettårsdödlighet som annars kan härledas från Makehamkurvan. Utöver kön och ålder har även andra särdrag använts. Det visade sig att det neurala nätverket lyckades modellera ettårsdödlighet och kunde särskilja mellan ålder, kön och de nya särdragen. Resultatet var också i nivå med prediktionerna gjorda av Svensk Försäkring.
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Marshall, James Arthur Robert. "An investigation into kin selection and reciprocal cooperation in a viscous population." Thesis, De Montfort University, 2002. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.246514.

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Buckley, Raymond M. "Substrate associated recruitment of juvenile Sebastes in artificial reef and natural habitats in Puget Sound and the San Juan Archipelago, Washington /." Thesis, Connect to this title online; UW restricted, 1997. http://hdl.handle.net/1773/5373.

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Shringarpure, Suyash. "Statistical Methods for studying Genetic Variation in Populations." Research Showcase @ CMU, 2012. http://repository.cmu.edu/dissertations/117.

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The study of genetic variation in populations is of great interest for the study of the evolutionary history of humans and other species. Improvement in sequencing technology has resulted in the availability of many large datasets of genetic data. Computational methods have therefore become quite important in analyzing these data. Two important problems that have been studied using genetic data are population stratification (modeling individual ancestry with respect to ancestral populations) and genetic association (finding genetic polymorphisms that affect a trait). In this thesis, we develop methods to improve our understanding of these two problems. For the population stratification problem, we develop hierarchical Bayesian models that incorporate the evolutionary processes that are known to affect genetic variation. By developing mStruct, we show that modeling more evolutionary processes improves the accuracy of the recovered population structure. We demonstrate how nonparametric Bayesian processes can be used to address the question of choosing the optimal number of ancestral populations that describe the genetic diversity of a given sample of individuals. We also examine how sampling bias in genotyping study design can affect results of population structure analysis and propose a probabilistic framework for modeling and correcting sample selection bias. Genome-wide association studies (GWAS) have vastly improved our understanding of many diseases. However, such studies have failed to uncover much of the variation responsible for a number of common multi-factorial diseases and complex traits. We show how artificial selection experiments on model organisms can be used to better understand the nature of genetic associations. We demonstrate using simulations that using data from artificial selection experiments improves the performance of conventional methods of performing association. We also validate our approach using semi-simulated data from an artificial selection experiment on Drosophila Melanogaster.
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Eryilmaz, Kerem. "Bootstrapping Shared Vocabulary In A Population - Weighted Lists With Probabilistic Choice." Master's thesis, METU, 2011. http://etd.lib.metu.edu.tr/upload/12613691/index.pdf.

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Works on semiotic dynamics and language as a complex adaptive system in general has been an important lane of research over the last decade. In this study, the mean-field naming game model developed in the course of the pioneering research programme of Luc Steels and colleagues is modified to include probabilistic word choice based on weighted lists of words, instead of either deterministic or totally random word choice based on (ordered) sets of words. The parameters&rsquo<br>interaction and this interaction&rsquo<br>s effect on time of convergence of the system and size of individual lexicons over time are investigated. The classical model is found to be a special case of this proposed model. Additionally, this model has more parameters and a larger state space which provides additional room for tweaking for time- or space-optimization of the convergence process.
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Sanchez, Théophile. "Reconstructing our past ˸ deep learning for population genetics." Electronic Thesis or Diss., université Paris-Saclay, 2022. http://www.theses.fr/2022UPASG032.

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Avec l'explosion des technologies de séquençage, de plus en plus de données génomiques sont disponibles, ouvrant la voie à une connaissance approfondie des forces évolutives en œuvre et en particulier de l'histoire démographique des populations. Toutefois, extraire l'information intéressante de ces données massives de manière efficace reste un problème ouvert. Compte tenu de leurs récents succès en apprentissage statistique, les réseaux de neurones artificiels sont un candidat sérieux pour mener à bien une telle analyse. Ces méthodes ont l'avantage de pouvoir traiter des données ayant une grande dimension, de s'adapter à la plupart des problèmes et d'être facilement mis à l'échelle des moyens de calcul disponibles. Cependant, leur performance dépend fortement de leur architecture qui requiert d'être en adéquation avec les propriétés des données afin d'en tirer le maximum d'information. Dans ce cadre, cette thèse présente de nouvelles approches basées sur l'apprentissage statistique profond, ainsi que les principes permettant de concevoir des architectures adaptées aux caractéristiques des données génomiques. L'utilisation de couches de convolution et de mécanismes d'attention permet aux réseaux présentés d'être invariants aux permutations des haplotypes échantillonnés et de s'adapter à des données de dimensions différentes (nombre d'haplotypes et de sites polymorphes). Les expériences conduites sur des données simulées démontrent l'efficacité de ces approches en les comparant à des architectures de réseaux plus classiques, ainsi qu'à des méthodes issues de l'état de l'art. De plus, la possibilité d'assembler les réseaux de neurones à certaines méthodes déjà éprouvées en génétique des populations, comme l'approximate Bayesian computation, permet d'améliorer les résultats et de combiner leurs avantages. La praticabilité des réseaux de neurones pour l'inférence démographique est testée grâce à leur application à des séquences génomiques complètes provenant de populations réelles de Bos taurus et d'Homo sapiens. Enfin, les scénarios obtenus sont comparés aux connaissances actuelles de l'histoire démographique de ces populations<br>Constant improvement of DNA sequencing technology that produces large quantities of genetic data should greatly enhance our knowledge of evolution, particularly demographic history. However, the best way to extract information from this large-scale data is still an open problem. Neural networks are a strong candidate to attain this goal, considering their recent success in machine learning. These methods have the advantages of handling high-dimensional data, adapting to most applications and scaling efficiently to available computing resources. However, their performance dependents on their architecture, which should match the data properties to extract the maximum information. In this context, this thesis presents new approaches based on deep learning, as well as the principles for designing architectures adapted to the characteristics of genomic data. The use of convolution layers and attention mechanisms allows the presented networks to be invariant to the sampled haplotypes' permutations and to adapt to data of different dimensions (number of haplotypes and polymorphism sites). Experiments conducted on simulated data demonstrate the efficiency of these approaches by comparing them to more classical network architectures, as well as to state-of-the-art methods. Moreover, coupling neural networks with some methods already proven in population genetics, such as the approximate Bayesian computation, improves the results and combines their advantages. The practicality of neural networks for demographic inference is tested on whole genome sequence data from real populations of Bos taurus and Homo sapiens. Finally, the scenarios obtained are compared with current knowledge of the demographic history of these populations
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Luck, Gary. "Bird population responses and artificial nest predation at inherent and induced edges in the Murray Mallee, South Australia /." Title page, contents and abstract only, 1996. http://web4.library.adelaide.edu.au/theses/09AEVH/09aevhl941.pdf.

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Nilsson, Mikael. "Parameter Tuning Experiments of Population-based Algorithms." Thesis, Mittuniversitetet, Institutionen för informationsteknologi och medier, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:miun:diva-13836.

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In this study, three different algorithms are implemented to solve thecapacitated vehicle routing problem with and without time windows:ant colony optimization, a genetic algorithm and a genetic algorithmwith self-organizing map. For the capacitated vehicle routing problemthe Augerat et al’s benchmark problems were used and for the capaci-tated vehicle routing problem with time windows the Solomon’sbenchmark problems. All three algorithms were tuned over thirtyinstances per problem with the tuners SPOT and ParamILS. The tuningresults from all instances were combined to the final parameter valuesand tested on a larger set of instances. The test results were used tocompare the algorithms and tuners against each other. The ant colonyoptimization algorithm outperformed the other algorithms on bothproblems when considering all instances. The genetic algorithm withself-organizing map found more best known solutions than any otheralgorithm when using parameters, on the capacitated vehicle routingproblem. The algorithms performed well and several new best knownresults were discovered for the capacitated vehicle routing problem andnew best solutions found by heuristics were discovered for the 100customer Solomon problems. When comparing the tuners they bothworked well and no clear winner emerged.
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Drexler, Michael. "Population Biology, Ecology, and Ecosystem Contributions of the Eastern Oyster (Crassostrea virginica) from Natural and Artificial Habitats in Tampa Bay, Florida." Scholar Commons, 2011. http://scholarcommons.usf.edu/etd/3081.

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The objective of this project was to document the status of oysters, Crassostrea virginica, from non-reef habitats throughout Tampa Bay, Florida, and assess the ecosystem contributions of those populations relative to reef-dwelling oysters. The aspects of oyster ecology studied here include condition, prevalence and intensity of disease (Perkinsus marinus - dermo), reproductive activity (including stage, fecundity, and juvenile recruitment), adult oyster density, and the faunal community associated with the oysters. The predominant source of variation was seasonal, with lesser contributions among sites, and in most cases, little or no effect of the habitat type. Oysters populations from each habitat recruit juvenile oysters, produce mature individuals, and contribute viable gametes at the same magnitude with similar seasonality. The associated faunal communities were also largely similar between habitats at any given site. Measures of oyster density, combined with estimates of the total available habitat, suggest that natural oyster reefs may represent only a small portion of the total oyster community in Tampa Bay, while oysters associated with mangrove habitats and seawalls are probably the most abundant in the bay. Additional mapping and quantification of these habitats would help to define their bay-wide ecosystem-services value. Restoration projects, though small in size relative to other habitats, do provide alternative and additional habitat with comparable value to other oyster-bearing habitats.
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Books on the topic "Artificial population"

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Buckley, Raymond M. Substrate associated recruitment of juvenile Sebastes in artificial reef and natural habitats in Puget Sound and the San Juan Archipelogo [sic], Washington. Washington Dept. of Fish and Wildlife, Fish Management Program, Resource Assessment Division, 1997.

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Buckley, Raymond M. Substrate associated recruitment of juvenile Sebastes in artificial reef and natural habitats in Puget Sound and the San Juan Archipelogo [sic], Washington. Washington Dept. of Fish and Wildlife, Fish Management Program, Resource Assessment Division, 1997.

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C, Pekarik, and Canadian Wildlife Service, eds. Management of colonial waterbirds nesting in Hamilton Harbour: The first two years of colonization of artificial islands and population trends. Canadian Wildlife Service, Ontario Region, 1997.

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Stetter, Martin. Exploration of cortical function: Imaging and modeling cortical population coding strategies. Kluwer Academic, 2002.

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Handayani, Sri Wening, and Babken V. Babajanian. Social protection for older persons: Social pensions in Asia. Asian Development Bank, 2012.

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Raczynski, Stanislaw. Catastrophes and Unexpected Behavior Patterns in Complex Artificial Populations. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-2574-9.

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1955-, Banzhaf Wolfgang, and Eeckman Frank H, eds. Evolution and biocomputation: Computational models of evolution. Springer, 1995.

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Viavant, Timothy Roland. Fish attraction to artificial structure in Chena Lakes [i.e. Lake], Alaska. Alaska Dept. of Fish and Game, Division of Sport Fish, 1995.

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Galford, Jimmy R. Role of predators on an artificially planted red oak borer population. U.S. Dept. of Agriculture, Forest Service, Northeastern Forest Experiment Station, 1985.

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Galford, Jimmy R. Role of predators on an artificially planted red oak borer population. U.S. Dept. of Agriculture, Forest Service, Northeastern Forest Experiment Station, 1985.

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Book chapters on the topic "Artificial population"

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Farley, Arthur M. "Population Structure and Artificial Evolution." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11740698_19.

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Niu, Ben, Yunlong Zhu, and Xiaoxian He. "Multi-population Cooperative Particle Swarm Optimization." In Advances in Artificial Life. Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11553090_88.

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Ventriglia, Francesco. "Coding by Neural Population Oscillations?" In Brain, Vision, and Artificial Intelligence. Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11565123_8.

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Byadarhaly, Kiran V., Mithun Perdoor, Suresh Vasa, Emmanuel Fernandez, and Ali A. Minai. "Learning Complex Population-Coded Sequences." In Artificial Neural Networks – ICANN 2009. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-04274-4_31.

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Wirth, Rainer, and Dorothee Volkert. "Artificial Nutrition at Old Age." In Encyclopedia of Gerontology and Population Aging. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-319-69892-2_117-1.

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Wirth, Rainer, and Dorothee Volkert. "Artificial Nutrition at Old Age." In Encyclopedia of Gerontology and Population Aging. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-22009-9_117.

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Senda, Yukiko. "What Were the Artificial Foetal Deaths Replaced By?" In SpringerBriefs in Population Studies. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-3549-6_3.

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Spinosa, Eduardo, and Aurora Pozo. "Controlling the Population Size in Genetic Programming." In Advances in Artificial Intelligence. Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/3-540-36127-8_33.

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Correia, Luís, Fernando Moura-Pires, and Joaquim N. Aparício. "Expressing Population Based Optimization Heuristics Using PLATO." In Progress in Artificial Intelligence. Springer Berlin Heidelberg, 1999. http://dx.doi.org/10.1007/3-540-48159-1_26.

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Lüdtke, Niklas, Richard C. Wilson, and Edwin R. Hancock. "Population Coding of Multiple Edge Orientation." In Artificial Neural Networks — ICANN 2002. Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/3-540-46084-5_204.

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Conference papers on the topic "Artificial population"

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Liu, Xuanyan, and Ruize Wang. "Simulation Analysis of Lamprey Population Reproduction Based on Population Impact Model and Evolution Model." In 2024 3rd International Conference on Data Analytics, Computing and Artificial Intelligence (ICDACAI). IEEE, 2024. https://doi.org/10.1109/icdacai65086.2024.00090.

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Cao, Yang, Xingyu Wang, and Zhonghua Han. "Multi-population artificial bee colony algorithm based on Lagrange interpolation." In 2024 4th International Conference on Communication Technology and Information Technology (ICCTIT). IEEE, 2024. https://doi.org/10.1109/icctit64404.2024.10928391.

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Zhang, Feng. "Multi-population random mean particle swarm optimization algorithm." In 2024 6th International Conference on Internet of Things, Automation and Artificial Intelligence (IoTAAI). IEEE, 2024. http://dx.doi.org/10.1109/iotaai62601.2024.10692345.

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Agate, Vincenzo, Farwa Batool, Antonio Bordonaro, et al. "Population Protocols for Adaptive Event Dissemination with Autonomous Agents in Vehicular Networks." In 17th International Conference on Agents and Artificial Intelligence. SCITEPRESS - Science and Technology Publications, 2025. https://doi.org/10.5220/0013341100003890.

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Gou, Lihua, Xiaoqing Yang, and Senlai Zhu. "Population Density Estimation Network Based on Local Global Feature Fusion." In 2024 5th International Conference on Artificial Intelligence and Computer Engineering (ICAICE). IEEE, 2024. https://doi.org/10.1109/icaice63571.2024.10864164.

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Li, Xiangping, and Yingqi Huang. "An enhanced distance-based parameter adaptation multi-population ensemble differential evolution." In International Conference on Algorithms, High Performance Computing and Artificial Intelligence, edited by Pavel Loskot and Liang Hu. SPIE, 2024. http://dx.doi.org/10.1117/12.3051925.

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Meng, Rongqing, and Xiaogang Qiu. "Artificial Population: Synthesizing Population from Census Data." In 2016 International Conference on Intelligent Control and Computer Application (ICCA 2016). Atlantis Press, 2016. http://dx.doi.org/10.2991/icca-16.2016.110.

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Konfršt, Zdeněk. "The Population Sizing Problem: Revisited." In Artificial Intelligence and Applications. ACTAPRESS, 2013. http://dx.doi.org/10.2316/p.2013.793-021.

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Jeong, Doo Seok. "Population representation of artificial neural network." In 2014 14th International Workshop on Cellular Nanoscale Networks and their Applications (CNNA). IEEE, 2014. http://dx.doi.org/10.1109/cnna.2014.6888617.

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Moran, Nick, and Jordan Pollack. "Coevolutionary Neural Population Models." In The 2018 Conference on Artificial Life. MIT Press, 2018. http://dx.doi.org/10.1162/isal_a_00014.

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Reports on the topic "Artificial population"

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Arhin, Stephen, Babin Manandhar, Hamdiat Baba Adam, and Adam Gatiba. Predicting Bus Travel Times in Washington, DC Using Artificial Neural Networks (ANNs). Mineta Transportation Institute, 2021. http://dx.doi.org/10.31979/mti.2021.1943.

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Washington, DC is ranked second among cities in terms of highest public transit commuters in the United States, with approximately 9% of the working population using the Washington Metropolitan Area Transit Authority (WMATA) Metrobuses to commute. Deducing accurate travel times of these metrobuses is an important task for transit authorities to provide reliable service to its patrons. This study, using Artificial Neural Networks (ANN), developed prediction models for transit buses to assist decision-makers to improve service quality and patronage. For this study, we used six months of Automatic Vehicle Location (AVL) and Automatic Passenger Counting (APC) data for six Washington Metropolitan Area Transit Authority (WMATA) bus routes operating in Washington, DC. We developed regression models and Artificial Neural Network (ANN) models for predicting travel times of buses for different peak periods (AM, Mid-Day and PM). Our analysis included variables such as number of served bus stops, length of route between bus stops, average number of passengers in the bus, average dwell time of buses, and number of intersections between bus stops. We obtained ANN models for travel times by using approximation technique incorporating two separate algorithms: Quasi-Newton and Levenberg-Marquardt. The training strategy for neural network models involved feed forward and errorback processes that minimized the generated errors. We also evaluated the models with a Comparison of the Normalized Squared Errors (NSE). From the results, we observed that the travel times of buses and the dwell times at bus stops generally increased over time of the day. We gathered travel time equations for buses for the AM, Mid-Day and PM Peaks. The lowest NSE for the AM, Mid-Day and PM Peak periods corresponded to training processes using Quasi-Newton algorithm, which had 3, 2 and 5 perceptron layers, respectively. These prediction models could be adapted by transit agencies to provide the patrons with accurate travel time information at bus stops or online.
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Gall, Graham A. E., Gideon Hulata, Eric M. Hallerman, Bernard May, and Umiel Nakdimon. Creating and Characterizing Genetic Variation in Tilapia through the Creation of an Artificial Center of Origin. United States Department of Agriculture, 2000. http://dx.doi.org/10.32747/2000.7574344.bard.

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Five stocks of tilapia [oreochromis niloticus (on), red O. niloticus (ROn), O. aureus (Oa), O. mossambicus (Om), and Sarotherodon galilaeus (Sg)] were used to produce two-way (F1), three-way (3WC) and four-way crosses (4WC). Three 4WC groups, containing equal representation of all four species, formed the base population for a new synthetic stock, called an "artificial center of origin" (ACO). Four genomic maps were created using microsatellite and AFLP markers, two from a 3WC family [Om female and (Oa x ROn) male] and two from a 4WC family [(Om x Oas) females and (Sg x On) male]. Sixty-two loci segregating from the female parent of the 3WC mapped to 14 linkage groups while 214 loci from the male parent mapped to 24 linkage groups. Similarly, 131 loci segregating from the female parent of the 4WC mapped to 26 linkage groups and 118 loci from the male parent mapped to 25 linkage groups. Preliminary screening of an F2 and a 4WC family identified a number of loci associated with cold tolerance and body weight. These loci were clustered in a few linkage groups, suggesting they may be indicative of quantitative trait loci.
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Doo, Johnny. Beyond Aviation: Embedded Gaming, Artificial Intelligence, Training, and Recruitment for the Advanced Air Mobility Industry. SAE International, 2024. https://doi.org/10.4271/epr2024028.

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&lt;div class="section abstract"&gt;&lt;div class="htmlview paragraph"&gt;Recent advancements in electric vertical take-off and landing (eVTOL) aircraft and the broader advanced air mobility (AAM) movement have generated significant interest within and beyond the traditional aviation industry. Many new applications have been identified and are under development, with considerable potential for market growth and exciting potential. However, talent resources are the most critical parameters to make or break the AAM vision, and significantly more talent is needed than the traditional aviation industry is able to currently generate. One possible solution—leverage rapid advancements of artificial intelligence (AI) technology and the gaming industry to help attract, identify, educate, and encourage current and future generations to engage in various aspects of the AAM industry.&lt;/div&gt;&lt;div class="htmlview paragraph"&gt;&lt;b&gt;Beyond Aviation: Embedded Gaming, Artificial Intelligence, Training, and Recruitment for the Advanced Air Mobility Industry&lt;/b&gt; discusses how the modern gaming population of 3.3 million individuals could be engaged through embedded AAM-based scenarios and AI-enhanced grading systems for concept creation, engineering, manufacturing, air space design and management, piloting, remote operations, infrastructure planning, vehicle operations.&lt;/div&gt;&lt;div class="htmlview paragraph"&gt;&lt;a href="https://www.sae.org/publications/edge-research-reports" target="_blank"&gt;Click here to access the full SAE EDGE&lt;/a&gt;&lt;sup&gt;TM&lt;/sup&gt;&lt;a href="https://www.sae.org/publications/edge-research-reports" target="_blank"&gt; Research Report portfolio.&lt;/a&gt;&lt;/div&gt;&lt;/div&gt;
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Searcy, Stephen W., and Kalman Peleg. Adaptive Sorting of Fresh Produce. United States Department of Agriculture, 1993. http://dx.doi.org/10.32747/1993.7568747.bard.

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This project includes two main parts: Development of a “Selective Wavelength Imaging Sensor” and an “Adaptive Classifiery System” for adaptive imaging and sorting of agricultural products respectively. Three different technologies were investigated for building a selectable wavelength imaging sensor: diffraction gratings, tunable filters and linear variable filters. Each technology was analyzed and evaluated as the basis for implementing the adaptive sensor. Acousto optic tunable filters were found to be most suitable for the selective wavelength imaging sensor. Consequently, a selectable wavelength imaging sensor was constructed and tested using the selected technology. The sensor was tested and algorithms for multispectral image acquisition were developed. A high speed inspection system for fresh-market carrots was built and tested. It was shown that a combination of efficient parallel processing of a DSP and a PC based host CPU in conjunction with a hierarchical classification system, yielded an inspection system capable of handling 2 carrots per second with a classification accuracy of more than 90%. The adaptive sorting technique was extensively investigated and conclusively demonstrated to reduce misclassification rates in comparison to conventional non-adaptive sorting. The adaptive classifier algorithm was modeled and reduced to a series of modules that can be added to any existing produce sorting machine. A simulation of the entire process was created in Matlab using a graphical user interface technique to promote the accessibility of the difficult theoretical subjects. Typical Grade classifiers based on k-Nearest Neighbor techniques and linear discriminants were implemented. The sample histogram, estimating the cumulative distribution function (CDF), was chosen as a characterizing feature of prototype populations, whereby the Kolmogorov-Smirnov statistic was employed as a population classifier. Simulations were run on artificial data with two-dimensions, four populations and three classes. A quantitative analysis of the adaptive classifier's dependence on population separation, training set size, and stack length determined optimal values for the different parameters involved. The technique was also applied to a real produce sorting problem, e.g. an automatic machine for sorting dates by machine vision in an Israeli date packinghouse. Extensive simulations were run on actual sorting data of dates collected over a 4 month period. In all cases, the results showed a clear reduction in classification error by using the adaptive technique versus non-adaptive sorting.
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Fang, Mei Lan, Judith Sixsmith, Jacqui Morris, et al. AgeTech, Ethics and Equity: Towards a Cultural Shift in AgeTech Ethical Responsibility. University of Dundee, 2023. http://dx.doi.org/10.20933/100001292.

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Population ageing is a global phenomenon which presents major challenges for the provision of care at home and in the community (ONS, 2018). Challenges include the human and economic costs associated with increasing numbers of older people with poor physical and mental health, loneliness, and isolation challenges (Mihalopoulos et al., 2020). The global ageing population has led to a growth in the development of technology designed to improve the health, well-being, independence, and quality of life of older people across various settings (Fang, 2022). This emerging field, known as “AgeTech,” refers to “the use of advanced technologies such as information and communications technologies (ICT’s), technologies related to e-health, robotics, mobile technologies, artificial intelligence (AI), ambient systems, and pervasive computing to drive technology-based innovation to benefit older adults” (Sixsmith, et al., 2020 p1; see also Pruchno, 2019; Sixsmith, Sixsmith, Fang, and Horst, 2020). AgeTech has the potential to contribute in positive ways to the everyday life and care of older people by improving access to services and social supports, increasing safety and community inclusion; increasing independence and health, as well as reducing the impact of disability and cognitive decline for older people (Sixsmith et al, 2020). At a societal level, AgeTech can provide opportunities for entrepreneurs and businesses (where funding and appropriate models exist) (Akpan, Udoh and Adebisi, 2022), reduce the human and financial cost of care (Mihalopoulos et al., 2020), and support ageing well in the right place (Golant, 2015).
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Galford, Jimmy R., and Jimmy R. Galford. Role of Predators on an Artificially Planted Red Oak Borer Population. U.S. Department of Agriculture, Forest Service, Northeastern Forest Experimental Station, 1985. http://dx.doi.org/10.2737/ne-rn-331.

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Galford, Jimmy R., and Jimmy R. Galford. Role of Predators on an Artificially Planted Red Oak Borer Population. U.S. Department of Agriculture, Forest Service, Northeastern Forest Experimental Station, 1985. http://dx.doi.org/10.2737/ne-rn-331.

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Acharya, Ashwin, Max Langenkamp, and James Dunham. Trends in AI Research for the Visual Surveillance of Populations. Center for Security and Emerging Technology, 2022. http://dx.doi.org/10.51593/20200097.

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Progress in artificial intelligence has led to growing concern about the capabilities of AI-powered surveillance systems. This data brief uses bibliometric analysis to chart recent trends in visual surveillance research — what share of overall computer vision research it comprises, which countries are leading the way, and how things have varied over time.
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Sprague, Joshua, David Kushner, James Grunden, Jamie McClain, Benjamin Grime, and Cullen Molitor. Channel Islands National Park Kelp Forest Monitoring Program: Annual report 2014. National Park Service, 2022. http://dx.doi.org/10.36967/2293855.

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Channel Islands National Park (CHIS) has conducted long-term ecological monitoring of the kelp forests around San Miguel, Santa Rosa, Santa Cruz, Anacapa and Santa Barbara Islands since 1982. The original permanent transects were established at 16 sites between 1981 and 1986 with the first sampling beginning in 1982, this being the 33rd year of monitoring. An additional site, Miracle Mile, was established at San Miguel Island in 2001 by a commercial fisherman with assistance from the park. Miracle Mile was partially monitored from 2002 to 2004, and then fully monitored (using all KFM protocols) since 2005. In 2005, 16 additional permanent sites were established to collect baseline data from inside and adjacent to four marine reserves that were established in 2003. Sampling results from all 33 sites mentioned above are included in this report. Funding for the Kelp Forest Monitoring Program (KFM) in 2014 was provided by the National Park Service (NPS). The 2014 monitoring efforts utilized 49 days of vessel time to conduct 1,040 dives for a total of 1,059 hours of bottom time. Population dynamics of a select list of 71 “indicator species” (consisting of taxa or categories of algae, fish, and invertebrates) were measured at the 33 permanent sites. In addition, population dynamics were measured for all additional species of fish observed at the sites during the roving diver fish count. Survey techniques follow the CHIS Kelp Forest Monitoring Protocol Handbook (Davis et al. 1997) and an update to the sampling protocol handbook currently being developed (Kushner and Sprague, in progress). The techniques utilize SCUBA and surface-supplied-air to conduct the following monitoring protocols: 1 m2 quadrats, 5 m2 quadrats, band transects, random point contacts, fish transects, roving diver fish counts, video transects, size frequency measurements, and artificial recruitment modules. Hourly temperature data were collected using remote temperature loggers at 32 sites, the exception being Miracle Mile where there is no temperature logger installed. This annual report contains a brief description of each site including any notable observations or anomalies, a summary of methods used, and monitoring results for 2014. All the data collected during 2014 can be found in the appendices and in an Excel workbook on the NPS Integrated Resource Management Applications (IRMA) portal. In the 2013 annual report (Sprague et al. 2020) several changes were made to the appendices. Previously, annual report density and percent cover data tables only included the current year’s data. Now, density and percent cover data are presented in graphical format and include all years of available monitoring data. Roving diver fish count (RDFC), fish size frequency, natural habitat size frequency, and Artificial Recruitment Module (ARM) size frequency data are now stored on IRMA at https://irma.nps.gov/DataStore/Reference/Profile/2259651. The temperature data graphs in Appendix L include the same graphs that were used in past reports, but include additional violin plot sections that compare monthly means from the current year to past years. In addition to the changes listed above, the layout of the discussion section was reordered by species instead of by site. The status of kelp forests differed among the five park islands. This is a result of a combination of factors including but not limited to, oceanography, biogeography and associated differences in species abundance and composition, as well as sport and commercial fishing pressure. All 33 permanent sites were established in areas that had or were historically known to have had kelp forests in the past. In 2014, 15 of the 33 sites monitored were characterized as developing kelp forest, kelp forest or mature kelp forest. In addition, three sites were in a state of transition. Two sites were part kelp forest and part dominated by Strongylocentrotus purpuratus...
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Bar-Joseph, Moshe, William O. Dawson, and Munir Mawassi. Role of Defective RNAs in Citrus Tristeza Virus Diseases. United States Department of Agriculture, 2000. http://dx.doi.org/10.32747/2000.7575279.bard.

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This program focused on citrus tristeza virus (CTV), the largest and one of the most complex RNA-plant-viruses. The economic importance of this virus to the US and Israeli citrus industries, its uniqueness among RNA viruses and the possibility to tame the virus and eventually turn it into a useful tool for the protection and genetic improvement of citrus trees justify these continued efforts. Although the overall goal of this project was to study the role(s) of CTV associated defective (d)-RNAs in CTV-induced diseases, considerable research efforts had to be devoted to the engineering of the helper virus which provides the machinery to allow dRNA replication. Considerable progress was made through three main lines of complementary studies. For the first time, the generation of an engineered CTV genetic system that is capable of infecting citrus plants with in vitro modified virus was achieved. Considering that this RNA virus consists of a 20 kb genome, much larger than any other previously developed similar genetic system, completing this goal was an extremely difficult task that was accomplished by the effective collaboration and complementarity of both partners. Other full-length genomic CTV isolates were sequenced and populations examined, resulting in a new level of understanding of population complexities and dynamics in the US and Israel. In addition, this project has now considerably advanced our understanding and ability to manipulate dRNAs, a new class of genetic elements of closteroviruses, which were first found in the Israeli VT isolate and later shown to be omnipresent in CTV populations. We have characterized additional natural dRNAs and have shown that production of subgenomic mRNAs can be involved in the generation of dRNAs. We have molecularly cloned natural dRNAs and directly inoculated citrus plants with 35S-cDNA constructs and have shown that specific dRNAs are correlated with specific disease symptoms. Systems to examine dRNA replication in protoplasts were developed and the requirements for dRNA replication were defined. Several artificial dRNAs that replicate efficiently with a helper virus were created from infectious full-genomic cDNAs. Elements that allow the specific replication of dRNAs by heterologous helper viruses also were defined. The T36-derived dRNAs were replicated efficiently by a range of different wild CTV isolates and hybrid dRNAs with heterologous termini are efficiently replicated with T36 as helper. In addition we found: 1) All CTV genes except of the p6 gene product from the conserved signature block of the Closteroviridae are obligate for assembly, infectivity, and serial protoplast passage; 2) The p20 protein is a major component of the amorphous inclusion bodies of infected cells; and 3) Novel 5'-Co-terminal RNAs in CTV infected cells were characterized. These results have considerably advanced our basic understanding of the molecular biology of CTV and CTV-dRNAs and form the platform for the future manipulation of this complicated virus. As a result of these developments, the way is now open to turn constructs of this viral plant pathogen into new tools for protecting citrus against severe CTV terms and development of virus-based expression vectors for other citrus improvement needs. In conclusion, this research program has accomplished two main interconnected missions, the collection of basic information on the molecular and biological characteristics of the virus and its associated dRNAs toward development of management strategies against severe diseases caused by the virus and building of novel research tools to improve citrus varieties. Reaching these goals will allow us to advance this project to a new phase of turning the virus from a pathogen to an ally.
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