Готові списки джерел за темами / Mathematical models of plants

Добірка наукової літератури з теми "Mathematical models of plants"

Автор: Grafiati
Опубліковано: 10 грудня 2022
Оновлено: 28 січня 2023

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Статті в журналах з теми "Mathematical models of plants"

1

Sukhova, Ekaterina, Elena Akinchits, and Vladimir Sukhov. "Mathematical Models of Electrical Activity in Plants." Journal of Membrane Biology 250, no. 5 (July 15, 2017): 407–23. http://dx.doi.org/10.1007/s00232-017-9969-7.

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2

Abagyan, A. A., A. E. Kroshilin, V. E. Kroshilin, V. N. Maidanik, E. F. Seleznev, and R. L. Fuks. "Dynamical mathematical models of nuclear power plants." Atomic Energy 88, no. 6 (June 2000): 431–42. http://dx.doi.org/10.1007/bf02673465.

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3

Roose, Tiina, and Andrea Schnepf. "Mathematical models of plant–soil interaction." Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 366, no. 1885 (September 25, 2008): 4597–611. http://dx.doi.org/10.1098/rsta.2008.0198.

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In this paper, we set out to illustrate and discuss how mathematical modelling could and should be applied to aid our understanding of plants and, in particular, plant–soil interactions. Our aim is to persuade members of both the biological and mathematical communities of the need to collaborate in developing quantitative mechanistic models. We believe that such models will lead to a more profound understanding of the fundamental science of plants and may help us with managing real-world problems such as food shortages and global warming. We start the paper by reviewing mathematical models that have been developed to describe nutrient and water uptake by a single root. We discuss briefly the mathematical techniques involved in analysing these models and present some of the analytical results of these models. Then, we describe how the information gained from the single-root scale models can be translated to root system and field scales. We discuss the advantages and disadvantages of different mathematical approaches and make a case that mechanistic rather than phenomenological models will in the end be more trustworthy. We also discuss the need for a considerable amount of effort on the fundamental mathematics of upscaling and homogenization methods specialized for branched networks such as roots. Finally, we discuss different future avenues of research and how we believe these should be approached so that in the long term it will be possible to develop a valid, quantitative whole-plant model.
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Gallego, Antonio J., Manuel Macías, Fernando de de Castilla, and Eduardo F. Camacho. "Mathematical modeling of the Mojave Solar Plants." Energies 12, no. 21 (November 3, 2019): 4197. http://dx.doi.org/10.3390/en12214197.

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Competitiveness of solar energy is one of current main research topics. Overall efficiency of solar plants can be improved by using advanced control strategies. To design and tuning properly advanced control strategies, a mathematical model of the plant is needed. The model has to fulfill two important points: (1) It has to reproduce accurately the dynamics of the real system; and (2) since the model is used to test advanced control strategies, its computational burden has to be as low as possible. This trade-off is essential to optimize the tuning process of the controller and minimize the commissioning time. In this paper, the modeling of the large-scale commercial solar trough plants Mojave Beta and Mojave Alpha is presented. These two models were used to test advanced control strategies to operate the plants.
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5

Provorov, Nikolay A., and Nikolay I. Vorobyov. "Evolution of micro-symbionts of cultured plants: experimental and mathematical models." Ecological genetics 9, no. 3 (September 15, 2011): 20–22. http://dx.doi.org/10.17816/ecogen9320-22.

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Formation of the cultured flora resulted in a decrease of plant symbiotic potential based on interactions with beneficial microorganisms. This decrease leads to transformation of plant micro-symbionts into the non-adaptive forms caused by: а) blocking the selection in favor of mutualistic strains; б) horizontal gene transfer in the microbial communities resulted in formation of virulent “symbiotic cheaters”. Mathematical simulation suggests that these tendencies may be overcome by formation of the optimal population structures in symbiotic system which should possess a high integrity and specificity of partners’ interactions as well as by a tolerance to the invasions of non-active aboriginal strains from the local soil populations.
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6

Cherednichenko, Oleksandr, Serhiy Serbin, Mykhaylo Tkach, Jerzy Kowalski, and Daifen Chen. "Mathematical Modelling of Marine Power Plants with Thermochemical Fuel Treatment." Polish Maritime Research 29, no. 3 (September 1, 2022): 99–108. http://dx.doi.org/10.2478/pomr-2022-0030.

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Abstract The article considers the methodological aspects of the theoretical investigation of marine power plants with thermochemical fuel treatment. The results of the study of the complex influence of temperature, pressure, and the ratio of steam / base fuel on the thermochemical treatment efficiency are presented. The adequacy of the obtained regression dependences was confirmed by the physical modelling of thermochemical fuel treatment processes. For a gas turbine power complex with a thermochemical fuel treatment system, the characteristics of the power equipment were determined separately with further merging of the obtained results and a combination of material and energy flow models. Algorithms, which provide settings for the mathematical models of structural and functional blocks, the optimisation of thermochemical energy transformations, and verification of developed models according to the indicators of existing gas turbine engines, were created. The influence of mechanical energy consumption during the organisation of thermochemical processing of fuel on the efficiency of thermochemical recuperation is analysed.
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Bruce, David M. "Mathematical modelling of the cellular mechanics of plants." Philosophical Transactions of the Royal Society of London. Series B: Biological Sciences 358, no. 1437 (July 30, 2003): 1437–44. http://dx.doi.org/10.1098/rstb.2003.1337.

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The complex mechanical behaviour of plant tissues reflects the complexity of their structure and material properties. Modelling has been widely used in studies of how cell walls, single cells and tissue respond to loading, both externally applied loading and loads on the cell wall resulting from changes in the pressure within fluid–filled cells. This paper reviews what approaches have been taken to modelling and simulation of cell wall, cell and tissue mechanics, and to what extent models have been successful in predicting mechanical behaviour. Advances in understanding of cell wall ultrastructure and the control of cell growth present opportunities for modelling to clarify how growth–related mechanical properties arise from wall polymeric structure and biochemistry.
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Pruteanu, Augustina, Valentin Vladut, Petru Cardei, and Despina Bordean. "General Tendencies of the Behaviour of Vegetables Developed in a Soil Contaminated with Heavy Metals." Revista de Chimie 71, no. 2 (March 3, 2020): 85–90. http://dx.doi.org/10.37358/rc.20.2.7897.

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The paper presents experimental results obtained in the study of heavy metals transfer from soil to vegetables. The experiments for which the raw and statistically processed data are presented in this paper are preliminary experiments within an extensive research program of plant behaviour in soils contaminated with heavy metals. These experiments underlie the development of primary statistical mathematical models that are also presented in the paper. These experiments will also form the basis for far more consistent experiments that follow plants throughout the life cycle. The statistical mathematical models presented in this paper facilitate extracting important conclusions about how plants accumulate heavy metals as well as about the accumulation rate behaviour during experiments. Both experiments and mathematical models will form the basis of complex experiments and dynamic mathematical models in the next stage of research.
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9

Carpinelli, G., F. Gagliardi, M. Russo, and A. Sturchio. "Steady-state mathematical models of battery storage plants with line-commutated converters." IEEE Transactions on Power Delivery 8, no. 2 (April 1993): 494–503. http://dx.doi.org/10.1109/61.216851.

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Bykova, Ya P., and B. V. Ermolenko. "Economic-mathematical models for designing a wastewater purification system for electroplating plants." Theoretical Foundations of Chemical Engineering 45, no. 4 (August 2011): 542–49. http://dx.doi.org/10.1134/s0040579510051069.

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Дисертації з теми "Mathematical models of plants"

1

Neofytou, Giannis. "Mathematical models of RNA interference in plants." Thesis, University of Sussex, 2017. http://sro.sussex.ac.uk/id/eprint/67207/.

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RNA interference (RNAi), or Post-Transcriptional Gene Silencing (PTGS), is a biological process which uses small RNAs to regulate gene expression on a cellular level, typically by causing the destruction of specfic mRNA molecules. This biological pathway is found in both plants and animals, and can be used as an effective strategy in defending cells against parasitic nucleotide sequences, viruses and transposons. In the case of plants, it also constitutes a major component of the adaptive immune system. RNAi is characterised by the ability to induce sequence-specific degradation of target messenger RNA (mRNAs) and methylation of target gene sequences. The small interfering RNA produced within the initiated cell is not only used locally but can also be transported into neighbouring cells, thus acting as a mobile warning signal. In the first part of the thesis I develop and analyse a new mathematical model of the plant immune response to a viral infection, with particular emphasis on the role of RNA interference. The model explicitly includes two different time delays, one to represent the maturation period of undifferentiated cells, and another to account for the time required for the RNAi propagating signal to reach other parts of the plant, resulting in either recovery or warning of susceptible cells. Analytical and numerical bifurcation theory is used to identify parameter regions associated with recovery and resistant plant phenotypes, as well as possible chronic infections. The analysis shows that the maturation time plays an important role in determining the dynamics, and that long-term host recovery does not depend on the speed of the warning signal but rather on the strength of local recovery. At best, the warning signal can amplify and hasten recovery, but by itself it is not competent at eradicating the infection. In the second part of the thesis I derive and analyse a new mathematical model of plant viral co-infection with particular account for RNA-mediated cross-protection in a single plant host. The model exhibits four non-trivial steady states, i.e. a disease-free steady state, two one-virus endemic equilibria, and a co-infected steady state. I obtained the basic reproduction number for each of the two viral strains and performed extensive numerical bifurcation analysis to investigate the stability of all steady states and identified parameter regions where the system exhibits synergistic or antagonistic interactions between viral strains, as well as different types of host recovery. The results indicate that the propagating component of RNA interference plays a significant role in determining whether both viruses can persist simultaneously, and as such, it controls whether the plant is able to support some constant level of both infections. If the two viruses are sufficiently immunologically related, the least harmful of the two viruses becomes dominant, and the plant experiences cross-protection. In the third part of the thesis I investigate the properties of intracellular dynamics of RNA interference and its capacity as a gene regulator by extending a well known model of RNA interference with time delays. For each of the two amplification pathways of the model, I consider the cumulative effects of delay in dsRNA-primed synthesis associated with the non-instantaneous nature of chemical signals and component transportation delay. An extensive bifurcation analysis is performed to demonstrate the significance of different parameters, and to investigate how time delays can affect the bi-stable regime in the model.
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2

Sharma, Suraj [Verfasser]. "Mathematical models of glucosinolate metabolism in plants / Suraj Sharma." Düsseldorf : Universitäts- und Landesbibliothek der Heinrich-Heine-Universität Düsseldorf, 2018. http://d-nb.info/1161182772/34.

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Scott, Ryan. "Characterizing Tilt Effects on Wind Plants." PDXScholar, 2019. https://pdxscholar.library.pdx.edu/open_access_etds/5035.

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Tilting the nacelle of a wind turbine modifies entrainment into the wind plant and impacts total efficiency. Extreme angles can produce flying and crashing wakes where the wake either disrupts entertainment from the undisturbed flow above or is decimated on the ground. The effect of tilt angle on downstream wake behavior was investigated in a series of wind tunnel experiments. Scale model turbines with a hub height and diameter of 12 cm were arranged in a Cartesian array comprised of four rows of three turbines each. Nacelle tilt was varied in the third row from -15° to 15° in chosen 5° increments. Stereo PIV measurements of the instantaneous velocity field were recorded at four locations for each angle. Tilted wakes are described in terms of the average streamwise velocity field, wall-normal velocity field, Reynolds stresses, and mean vertical transport of kinetic energy. Conditional sampling is used to quantify the importance of sweep vs. ejection events and thus downwards vs. upwards momentum transfer. Additionally, wake center displacement and changes in net power are presented and compared to existing models. The results demonstrate large variations in wake velocity and vertical displacement with enhanced vertical energy and momentum transfer for negative tilt angles. Simulation models accurately predict wake deflection while analytic models deviate considerably highlighting the difficulties in describing tilt phenomena. Negative angles successfully produce crashing wakes and improve the availability of kinetic energy thereby improving the power output of the wind plant.
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4

Adams, William Mark 1961. "APPLICATION OF THE VARIANCE-TO-MEAN RATIO METHOD FOR DETERMINING NEUTRON MULTIPLICATION PARAMETERS OF CRITICAL AND SUBCRITICAL REACTORS (REACTOR NOISE, FEYNMAN-ALPHA)." Thesis, The University of Arizona, 1985. http://hdl.handle.net/10150/275438.

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Matuszyńska, Anna [Verfasser]. "Mathematical models of light acclimation mechanisms in higher plants and green algae / Anna Matuszyńska." Düsseldorf : Universitäts- und Landesbibliothek der Heinrich-Heine-Universität Düsseldorf, 2016. http://d-nb.info/112174561X/34.

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Virillo, Carolina Bernucci. "Dinamica e estrutura de populações de especies lenhosas no cerrado de Itirapina, SP." [s.n.], 2006. http://repositorio.unicamp.br/jspui/handle/REPOSIP/315015.

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Orientador: Flavio Antonio Maes dos Santos
Dissertação (mestrado) - Universidade Estadual de Campinas, Instituto de Biologia
Made available in DSpace on 2018-08-06T07:16:37Z (GMT). No. of bitstreams: 1 Virillo_CarolinaBernucci_M.pdf: 562762 bytes, checksum: baf5acffb9077d869f4cef56e35d98f7 (MD5) Previous issue date: 2006
Resumo: Foi estudada a estrutura de tamanho de Xylopia aromatica, Roupala montana, Miconia albicans, Dalbergia miscolobium e Myrcia lingua em três áreas de 0,5 ha (V1, V2 e V3) em um fragmento de cerrado localizado dentro da Estação Ecológica e Experimental de Itirapina (22º 15¿ S; 47º 49¿ W), no município de Itirapina, SP. A espécie que apresentou maior número de indivíduos amostrados (7522) no total das áreas foi X. aromatica, e a que apresentou o menor número (536) foi D. miscolobium. O número de indivíduos de cada espécie variou entre as áreas, e R. montana ocorreu em apenas uma delas (V1). A área com maior abundância de cada uma das espécies não foi coincidente: R. montana, M. albicans e M. lingua ocorreram em maior abundância em V1, enquanto X. aromatica e D. miscolobium ocorreram em maior abundância em V2. A estrutura de tamanho pareceu relacionada à abundância, sendo que as populações com maior abundância apresentaram estruturas de tamanho em formato de ¿Jinvertido¿, sugerindo que as diferenças entre as áreas estão ligadas à maior ou menor presença de indivíduos pequenos. Para cada espécie, as estruturas de tamanho observadas diferiram entre as três áreas, indicando a importância de se realizar estudos demográficos em diferentes áreas e abrangendo diferentes escalas, já que mesmo considerando áreas próximas dentro de um mesmo fragmento foram encontradas diferenças nas estruturas populacionais
Abstract: Not informed
Mestrado
Mestre em Biologia Vegetal
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7

Ndakidemi, Patrick Alois. "Nutritional characterisation of the rhizosphere of symbiotic cowpea and maize plants in different cropping system." Thesis, Cape Peninsula University of Technology, 2005. http://hdl.handle.net/20.500.11838/762.

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Thesis (DTech (Chemistry))--Cape Peninsula University of Technology, 2005
A 2-factorial experiment, involving 3 levels of phosphorus (0, 40, and 80 kg P.ha-I ) as main treatment and 4 cropping systems (mono crop, maize/cowpea inter-row, maize/cowpea intra-row, and maize/cowpea intra-hole cropping) as sub-treatment was conducted in the field for 2 consecutive years in 2003 and 2004 to assess i) the effects of exogenous P supply and cropping system on the concentrations of plant-available nutrients in the rhizosphere of cowpea and maize; ii) the effect of exogenous P supply on tissue concentrations of minerals in nodulated cowpea and maize in mixed plant cultures iii) the effects of exogenous P supply and cropping system on plant growth and N2 fixation, and iv) the effects of exogenous P supply and cropping system on phosphatase activity and microbial biomass in the rhizosphere of cowpea and maize. At harvest, it was found that applying 40 or 80 kg P.ha-I significantly increased cowpea grain yields by 59-65% in 2003 and 44-55% in 2004. With maize, the increases in grain yield were 2037% in 2003 and 48-55% in 2004 relative to zero-P control. In both cropping seasons, the number of pod-bearing peduncles per plant, the number of pods per plant, the number of seeds per pod, and seed yield per cowpea plant were significantly increased with the application of exogenous P. In contrast, these parameters were all significantly depressed by mixed culture relative to mono crop cowpea. Intercropping maize with cowpea produced higher total yields per unit land area than the sole crop counterpart.
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Rees, C. S. "Mathematical models in an integrated steel making plant." Thesis, University of Hull, 1986. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.383736.

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9

Gonzalez, Robert. "Optimal design, scheduling and operation of pipeless batch chemical plants." Thesis, Georgia Institute of Technology, 1995. http://hdl.handle.net/1853/11102.

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Du, Plessis Sydney Charles. "Investigation of process parameters and development of a mathematical model for the purposes of control design and implementation for a wastewater treatment process." Thesis, Cape Peninsula University of Technology, 2009. http://hdl.handle.net/20.500.11838/1194.

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Thesis (DTech (Electrical Engineering))--Cape Peninsula University of Technology, 2009
The problem for effective and optimal control of wastewater treabnent plants is very important recently because of the increased requirements to the qualitY of the effluent The activated sludge process is a type of wastewater process characterized with complex dynamics and because of this proper control design and implementation strategies are necessary and important for its operation. Since the early seventies, when a major leap forward was made by the widespread introduction of dissolved oxygen control, little progress has been made. The most critical phase in the solution of any control problem is the modelling stage. The primary building block of any modem control exercise is to construct and identify a model for the system to be controlled. The existing full Activated Sludge Model 1 (ASM1) and especially University of Cape Town (UCT) models of the biological processes in the activated sludge process, called in the thesis biological models, are highly complex because they are characterised with a lot of variables that are difficult to be measured on-line, complex dependencies and nonlinear interconnections between the biological variables, many kinetic parameters that are difficult to be determined, . different time scales for the process dynamics. The project considers reduction of the impact of the complexity of the process model over the methods for control design and proposes a solution to the above difficulties by development of a reduced model with small number of variables, but still with the same characteristics as the original full model for the purposes of real time.
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Книги з теми "Mathematical models of plants"

1

Lindner, Ewald Hans. Models for the optimal control of storage power plants. Wien: VWGÖ, 1987.

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2

Ziębik, Andrzej. Mathematical modelling of energy management systems in industrial plants. Wrocław: Zakład Narodowy Imienia Ossolińskich Wydawn. Polskiej Akademii Nauk, 1990.

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3

Wikström, Fredrik. Modelling plant growth using the nutrient productivity theory and different models of nutrient uptake. Uppsala: Swedish University of Agricultural Sciences, Dept. of Ecology and Environmental Research, 1995.

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4

Gokhshteĭn, D. P. Primenenie metoda vychitanii͡a︡: K analizu raboty ėnergoustanovok. Kiev: Gol. izd-vo izdatelʹskogo obʺedinenii͡a︡ "Vyshcha shkola", 1985.

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5

V, Dobrodei V., ed. Modelirovanie metallurgicheskogo kompleksa: Regional'nyi aspekt. Moskva: Nauka, 1988.

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6

N, Gizatullin Kh. Modelirovanie metallurgicheskogo kompleksa: (regionalʹnyĭ aspekt). Moskva: "Nauka", 1988.

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7

Kukushkin, N. S. Analiticheskie modeli optimizat͡s︡ii strategii upravlenii͡a︡ gidroėlektrostant͡s︡ii͡a︡mi. Moskva: Vychislitelʹnyĭ t͡s︡entr AN SSSR, 1986.

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8

Pakes, Anthony G. Mathematical ecology of plant species competition: A class of deterministic models for binary mixtures of plant genotypes. Cambridge [England]: Cambridge University Press, 1990.

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9

A, Shaakhmedov Sh, ред. Zadachi optimalʹnogo upravlenii͡a︡ v biologicheskoĭ modeli rosta rasteniĭ. Moskva: Vychislitelʹnyĭ t͡s︡entr AN SSSR, 1987.

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10

Brzozowski, Władysław. Modelowanie i optymalizacja procesu eksploatacji elektrowni cieplnej. Częstochowa: Wydawn. Politechniki Częstochowskiej, 1995.

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Частини книг з теми "Mathematical models of plants"

1

Khaki-Sedigh, Ali, and Bijan Moaveni. "Appendix: Mathematical Models Used in Examples." In Control Configuration Selection for Multivariable Plants, 219–28. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-03193-9_8.

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2

Sybenga, J. "Mathematical Meiotic Models of Genome Analysis: Comparison With Molecular Approaches." In Genomes of Plants and Animals, 281–303. Boston, MA: Springer US, 1996. http://dx.doi.org/10.1007/978-1-4899-0280-1_18.

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3

Terracciano, Irma, Concita Cantarella, and Nunzio D’Agostino. "Hybridization-Based Enrichment and Next Generation Sequencing to Explore Genetic Diversity in Plants." In Dynamics of Mathematical Models in Biology, 117–36. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-45723-9_10.

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4

Saloniemi, I. "Mathematical Models of Plant/Fungus Interactions." In Plant Relationships Part B, 239–56. Berlin, Heidelberg: Springer Berlin Heidelberg, 1997. http://dx.doi.org/10.1007/978-3-642-60647-2_15.

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Gross, Louis J. "Mathematical Models in Plant Biology: An Overview." In Applied Mathematical Ecology, 385–407. Berlin, Heidelberg: Springer Berlin Heidelberg, 1989. http://dx.doi.org/10.1007/978-3-642-61317-3_16.

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Dumond, Mathilde, and Arezki Boudaoud. "Physical Models of Plant Morphogenesis." In Mathematical Modelling in Plant Biology, 1–14. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-99070-5_1.

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Ramin, Pedram, Elham Ramin, Hannah Feldman, Xavier Flores-Alsina, and Krist V. Gernaey. "Evaluating Resource Recovery Options in Wastewater Treatment Plants Using Mathematical Models." In Resource Recovery from Wastewater, 45–69. Includes bibliographical references and index.: Apple Academic Press, 2021. http://dx.doi.org/10.1201/9781003055501-2.

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Bertotti, Maria Letizia, and Giovanni Modanese. "Mathematical Models for Socio-economic Problems." In Mathematical Models and Methods for Planet Earth, 123–34. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-02657-2_10.

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Barry, Michael, Moritz Schillinger, Hannes Weigt, and René Schumann. "Configuration of Hydro Power Plant Mathematical Models." In Energy Informatics, 200–207. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-25876-8_17.

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Dhillon, B. S. "Mathematical Models for Performing Human Reliability and Error Analysis in Power Plants." In Springer Series in Reliability Engineering, 151–68. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-04019-6_11.

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Тези доповідей конференцій з теми "Mathematical models of plants"

1

Sastre-Vázquez, P., Y. Villacampa, J. A. Reyes, F. García-Alonso, and F. Verdu. "Mathematical models to estimate leaf area in plants of wheat." In ECOSUD 2009. Southampton, UK: WIT Press, 2009. http://dx.doi.org/10.2495/eco090101.

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Sharipov, Daler, Abduqayum Abdukadirov, Abdushokhid Khasanov, and Otabek Khafizov. "Mathematical model for optimal siting of the industrial plants." In 2020 International Conference on Information Science and Communications Technologies (ICISCT). IEEE, 2020. http://dx.doi.org/10.1109/icisct50599.2020.9351476.

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Diyorov, Rustam, Michael Glazyrin, and Sherkhon Sultonov. "Mathematical model of francis turbines for small hydropower plants." In 2016 11th International Forum on Strategic Technology (IFOST). IEEE, 2016. http://dx.doi.org/10.1109/ifost.2016.7884241.

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Paul, Chioncel Cristian, Lazar Meda Alexandra, Spunei Elisabeta, and Tirian Gelu Ovidiu. "Determination of the optimal operational energy zones and the mathematical models for wind power plants." In 2018 International Conference on Applied and Theoretical Electricity (ICATE). IEEE, 2018. http://dx.doi.org/10.1109/icate.2018.8551367.

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Casesnoves, Francisco, Maksim Antonov, and Priit Kulu. "Mathematical models for erosion and corrosion in power plants. A review of applicable modelling optimization techniques." In 2016 57th International Scientific Conference on Power and Electrical Engineering of Riga Technical University (RTUCON). IEEE, 2016. http://dx.doi.org/10.1109/rtucon.2016.7763117.

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Skripkin, S. K., A. H. Kler, and V. A. Mai. "A SYSTEM FOR COMPUTER-BASED CREATION OF STATIC AND DYNAMIC MATHEMATICAL MODELS OF THERMAL POWER PLANTS." In Second International Forum on Expert System and Computer Simulation in Energy Engineering. Connecticut: Begellhouse, 1992. http://dx.doi.org/10.1615/ichmt.1992.intforumexpsyscompsimee.850.

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Ivanova, Polina, Olegs Linkevics, and Antans Sauhats. "Mathematical description of combined cycle gas turbine power plants' transient modes." In 2017 IEEE International Conference on Environment and Electrical Engineering and 2017 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe). IEEE, 2017. http://dx.doi.org/10.1109/eeeic.2017.7977405.

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Gaspar, Jozsef, John Bagterp Jorgensen, and Philip Loldrup Fosbol. "A dynamic mathematical model for packed columns in carbon capture plants." In 2015 European Control Conference (ECC). IEEE, 2015. http://dx.doi.org/10.1109/ecc.2015.7330952.

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Smetanin, Denis S., and Victor N. Voronov. "Application of Technological Algorithms and Mathematical Modelling in Cycle Chemistry Monitoring Systems." In ASME 8th Biennial Conference on Engineering Systems Design and Analysis. ASMEDC, 2006. http://dx.doi.org/10.1115/esda2006-95087.

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Most Russian fossil fuelled power plants equipped with cycle chemistry monitoring systems (CCMS), as a tool to maintain water chemistry within operating limits, use these systems in informative mode only without performing any particular control function. Modern modeling methods allow for the optimizing of water chemistry control. According to the Russian guidelines, CCMS of a single unit depending on its type (drum or once-through boiler) should be based on on-line monitoring performed by 25–35 chemical analyzers; 50–100 “grab” sample analyses (daily) and about 20 on-line monitored operating parameters. Significant volume of the incoming information needs to be organized and presented to operating personnel in order to improve and optimize water chemistry at power plants, which is the main idea of CCMS, this can be achieved by implementing technological algorithms and modeling in the systems. Most of the operating CCMS are supplied with alarms to indicate water chemistry failure, alerting the operating personnel but not informing them about the danger and gravity of the event. The use of water chemistry evaluating algorithms based on system of indices provides data analysis for the operating personnel informing them on the danger of the event. Implementation of CCMS at power plants should change the role of laboratory monitoring from routine to diagnostic. The application of theoretical and experimental dependencies of different water quality parameters can be used for water chemistry optimization. In order to predict impurity distribution and deposit build-up on heat transfer surfaces and turbine blades, mathematical models of thermal cycles based on balance equations can be used in CCMS. Such models can be formed for ion-impurities, silica acid and corrosion products. Another type of model predicts impurity behavior in the event of deteriorating feed water chemistry. By means of such models operating personnel receive information about the time available to prevent steam chemistry failure. The model results should be compared with the available impurities solubility data. The majority of power plants have their particular water chemistry problems and technological disadvantages, which together with preventive and emergency measures are described in water chemistry guidelines applied at power plants. The application of logical algorithms based on these guidelines can be used in CCMS as an informative support to operating personnel in case of water chemistry failure. All the algorithms and mathematical models should only be used after their refinement to the individual power plant.
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Tatarinova, N. V., and D. M. Suvorov. "Development of adequate computational mathematical models of cogeneration steam turbines for solving problems of optimization of operating modes of CHP plants." In 2016 2nd International Conference on Industrial Engineering, Applications and Manufacturing (ICIEAM). IEEE, 2016. http://dx.doi.org/10.1109/icieam.2016.7911578.

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Звіти організацій з теми "Mathematical models of plants"

1

Damon, James. Comparing Mathematical Models and Experimental Data for Intake Capacity Distributions for Plant Root Structures. Fort Belvoir, VA: Defense Technical Information Center, February 2014. http://dx.doi.org/10.21236/ada606617.

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Mayergoyz, I. D. [Mathematical models of hysteresis]. Office of Scientific and Technical Information (OSTI), January 1991. http://dx.doi.org/10.2172/6911694.

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Mayergoyz, I. D. Mathematical models of hysteresis. Office of Scientific and Technical Information (OSTI), September 1992. http://dx.doi.org/10.2172/6946876.

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4

Mayergoyz, I. Mathematical models of hysteresis. Office of Scientific and Technical Information (OSTI), August 1989. http://dx.doi.org/10.2172/5246564.

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5

Lieth, J. Heiner, Michael Raviv, and David W. Burger. Effects of root zone temperature, oxygen concentration, and moisture content on actual vs. potential growth of greenhouse crops. United States Department of Agriculture, January 2006. http://dx.doi.org/10.32747/2006.7586547.bard.

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Soilless crop production in protected cultivation requires optimization of many environmental and plant variables. Variables of the root zone (rhizosphere) have always been difficult to characterize but have been studied extensively. In soilless production the opportunity exists to optimize these variables in relation to crop production. The project objectives were to model the relationship between biomass production and the rhizosphere variables: temperature, dissolved oxygen concentration and water availability by characterizing potential growth and how this translates to actual growth. As part of this we sought to improve of our understanding of root growth and rhizosphere processes by generating data on the effect of rhizosphere water status, temperature and dissolved oxygen on root growth, modeling potential and actual growth and by developing and calibrating models for various physical and chemical properties in soilless production systems. In particular we sought to use calorimetry to identify potential growth of the plants in relation to these rhizosphere variables. While we did experimental work on various crops, our main model system for the mathematical modeling work was greenhouse cut-flower rose production in soil-less cultivation. In support of this, our objective was the development of a Rose crop model. Specific to this project we sought to create submodels for the rhizosphere processes, integrate these into the rose crop simulation model which we had begun developing prior to the start of this project. We also sought to verify and validate any such models and where feasible create tools that growers could be used for production management. We made significant progress with regard to the use of microcalorimetry. At both locations (Israel and US) we demonstrated that specific growth rate for root and flower stem biomass production were sensitive to dissolved oxygen. Our work also identified that it is possible to identify optimal potential growth scenarios and that for greenhouse-grown rose the optimal root zone temperature for potential growth is around 17 C (substantially lower than is common in commercial greenhouses) while flower production growth potential was indifferent to a range as wide as 17-26C in the root zone. We had several set-backs that highlighted to us the fact that work needs to be done to identify when microcalorimetric research relates to instantaneous plant responses to the environment and when it relates to plant acclimation. One outcome of this research has been our determination that irrigation technology in soilless production systems needs to explicitly include optimization of oxygen in the root zone. Simply structuring the root zone to be “well aerated” is not the most optimal approach, but rather a minimum level. Our future work will focus on implementing direct control over dissolved oxygen in the root zone of soilless production systems.
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6

Astafieva, Mariia M., Oleksii B. Zhyltsov, and Volodymyr V. Proshkin. E-learning as a mean of forming students' mathematical competence in a research-oriented educational process. [б. в.], July 2020. http://dx.doi.org/10.31812/123456789/3896.

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The article is devoted to the substantiation of approaches to the effective use of advantages and minimization of disadvantages and losses of e-learning as a mean of forming mathematical competence of students in the conditions of research-oriented educational process. As a result of the ascertaining experiment, e-learning has certain disadvantages besides its obvious advantages (adaptability, possibility of individualization, absence of geographical barriers, ensuring social equality, unlimited number of listeners, etc.). However, the nature of these drawbacks lies not as much in the plane of opportunity itself as in the ability to use them effectively. On the example of the e-learning course (ELC) “Mathematical Analysis” (Calculus) of Borys Grinchenko Kyiv University, which is developed on the basis of the Moodle platform, didactic and methodical approaches to content preparation and organization of activities in the ELC in mathematics are offered. Given the specifics of mathematics as a discipline, the possibility of using ELCs to support the traditional learning process with full-time learning is revealed, introducing a partially mixed (combined) model. It is emphasized that effective formation of mathematical competence of students by means of e-learning is possible only in the conditions of research-oriented educational environment with active and concerned participation of students and partnership interaction. The prospect of further research in the analysis of e-learning opportunities for the formation of students’ mathematical competence, in particular, research and investigation tools, and the development of recommendations for the advanced training programs of teachers of mathematical disciplines of universities are outlined.
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Ringhofer, Christian. Mathematical Models for VLSI Device Simulation. Fort Belvoir, VA: Defense Technical Information Center, November 1987. http://dx.doi.org/10.21236/ada191125.

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Perdigão, Rui A. P. Earth System Dynamic Intelligence - ESDI. Meteoceanics, April 2021. http://dx.doi.org/10.46337/esdi.210414.

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Анотація:
Earth System Dynamic Intelligence (ESDI) entails developing and making innovative use of emerging concepts and pathways in mathematical geophysics, Earth System Dynamics, and information technologies to sense, monitor, harness, analyze, model and fundamentally unveil dynamic understanding across the natural, social and technical geosciences, including the associated manifold multiscale multidomain processes, interactions and complexity, along with the associated predictability and uncertainty dynamics. The ESDI Flagship initiative ignites the development, discussion and cross-fertilization of novel theoretical insights, methodological developments and geophysical applications across interdisciplinary mathematical, geophysical and information technological approaches towards a cross-cutting, mathematically sound, physically consistent, socially conscious and operationally effective Earth System Dynamic Intelligence. Going beyond the well established stochastic-dynamic, information-theoretic, artificial intelligence, mechanistic and hybrid techniques, ESDI paves the way to exploratory and disruptive developments along emerging information physical intelligence pathways, and bridges fundamental and operational complex problem solving across frontier natural, social and technical geosciences. Overall, the ESDI Flagship breeds a nascent field and community where methodological ingenuity and natural process understanding come together to shed light onto fundamental theoretical aspects to build innovative methodologies, products and services to tackle real-world challenges facing our planet.
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9

Mayergoyz, Isaak. MATHEMATICAL MODELS OF HYSTERESIS (DYNAMIC PROBLEMS IN HYSTERESIS). Office of Scientific and Technical Information (OSTI), August 2006. http://dx.doi.org/10.2172/889747.

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Dawson, Steven. The Genesis of Cyberscience and its Mathematical Models (CYBERSCIENCE). Fort Belvoir, VA: Defense Technical Information Center, February 2005. http://dx.doi.org/10.21236/ada431570.

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