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Journal articles on the topic 'Growth systems'

To see the other types of publications on this topic, follow the link: Growth systems.

Author: Grafiati

Published: 10 December 2022

Last updated: 28 January 2023

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1

Khan, Javeed Ahmad. "Grid connected PV systems and their growth in power system." International Journal of Trend in Scientific Research and Development Volume-2, Issue-3 (April 30, 2018): 1791–97. http://dx.doi.org/10.31142/ijtsrd11646.

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2

Suzuki, Takashi. "Mathematical models of tumor growth systems." Mathematica Bohemica 137, no. 2 (2012): 201–18. http://dx.doi.org/10.21136/mb.2012.142866.

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3

Mauduit, Thomas, and Jean Pierre Brun. "Growth fault/rollover systems: Birth, growth, and decay." Journal of Geophysical Research: Solid Earth 103, B8 (August 10, 1998): 18119–36. http://dx.doi.org/10.1029/97jb02484.

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4

Riemann, Bo, and Russell T. Bell. "Advances in estimating bacterial biomass and growth in aquatic systems." Archiv für Hydrobiologie 118, no. 4 (June 28, 1990): 385–402. http://dx.doi.org/10.1127/archiv-hydrobiol/118/1990/385.

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5

Forshey, C. G. "Measuring Growth in Complex Systems: How Do Growth Regulators Alter Growth?" HortScience 26, no. 8 (August 1991): 999–1001. http://dx.doi.org/10.21273/hortsci.26.8.999.

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6

Gusak, Andriy, Rafal Abdank-Kozubski, and Dmytro Tyshchenko. "Grain Growth in Open Systems." Diffusion Foundations 5 (July 2015): 229–44. http://dx.doi.org/10.4028/www.scientific.net/df.5.229.

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Grain growth in open systems is analyzed for the cases of flux-driven ripening during soldering, flux-driven lateral growth during deposition of thin films, flux-driven lateral growth during reactive growth of intermediate phase, flux-driven lateral growth of antiphase domains in FCC-phase A3B and BCC-phase AB during the diffusion growth of ordered phase layer.

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7

Copley, S. M., E. Y. Yankov, J. A. Todd, and M. I. Yankova. "Coupled Growth in Eutectic Systems." Materials Science Forum 102-104 (January 1992): 417–32. http://dx.doi.org/10.4028/www.scientific.net/msf.102-104.417.

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8

Yao, Jian Hua, Hong Guo, and Martin Grant. "Growth kinetics in exciton systems." Physical Review B 47, no. 3 (January 15, 1993): 1270–75. http://dx.doi.org/10.1103/physrevb.47.1270.

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9

Aboal, Diego. "Electoral systems and economic growth." Economia Politica 37, no. 3 (May 21, 2020): 781–805. http://dx.doi.org/10.1007/s40888-020-00185-6.

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10

Muslu, Yilmaz. "Dispersion in suspended growth systems." Chemical Engineering Journal 44, no. 1 (June 1990): B15—B23. http://dx.doi.org/10.1016/0300-9467(90)80056-i.

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11

Prosser, Jim. "Growth of fungal branching systems." Mycologist 4, no. 2 (April 1990): 60–65. http://dx.doi.org/10.1016/s0269-915x(09)80533-8.

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12

Zhou, Haiwen. "Economic Systems and Economic Growth." Atlantic Economic Journal 39, no. 3 (June 4, 2011): 217–29. http://dx.doi.org/10.1007/s11293-011-9280-4.

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13

Haller, Michael F., and W. Mark Saltzman. "Nerve growth factor delivery systems." Journal of Controlled Release 53, no. 1-3 (April 1998): 1–6. http://dx.doi.org/10.1016/s0168-3659(97)00232-0.

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14

Kepple, Stephen R. "Growth of integrated systems continues." American Journal of Health-System Pharmacy 56, no. 14 (July 15, 1999): 1392. http://dx.doi.org/10.1093/ajhp/56.14.1392.

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15

Giacomelli, G. A., K. C. Ting, and P. P. Ling. "Systems approach to instrumenting and controlling plant growth systems." Advances in Space Research 14, no. 11 (November 1994): 191–97. http://dx.doi.org/10.1016/0273-1177(94)90296-8.

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16

van der Wende, E., W. G. Characklis, and J. Grochowski. "Bacterial Growth in Water Distribution Systems." Water Science and Technology 20, no. 11-12 (November 1, 1988): 521–24. http://dx.doi.org/10.2166/wst.1988.0340.

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17

Deckers, T., and E. Daemen. "GROWTH REGULATION IN IFP PRODUCTION SYSTEMS." Acta Horticulturae, no. 525 (March 2000): 179–84. http://dx.doi.org/10.17660/actahortic.2000.525.21.

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18

Smirnov, Boris M. "Phenomena of growth of fractal systems." Uspekhi Fizicheskih Nauk 159, no. 10 (1989): 391. http://dx.doi.org/10.3367/ufnr.0159.198910i.0391.

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19

Grammaticos, B., T. Tamizhmani, A. Ramani, and K. M. Tamizhmani. "Growth and integrability in discrete systems." Journal of Physics A: Mathematical and General 34, no. 18 (April 27, 2001): 3811–21. http://dx.doi.org/10.1088/0305-4470/34/18/309.

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20

Lanser, Howard P., and John A. Halloran. "EVALUATING CASH FLOW SYSTEMS UNDER GROWTH." Financial Review 21, no. 2 (May 1986): 309–18. http://dx.doi.org/10.1111/j.1540-6288.1986.tb01126.x.

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21

Hau, Arthur, and Lily Jiang. "Economic Growth and Medicare Funding Systems." Contemporary Economic Policy 23, no. 1 (January 2005): 17–27. http://dx.doi.org/10.1093/cep/byi002.

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22

Rajan, R. G. "Financial Systems, Industrial Structure, and Growth." Oxford Review of Economic Policy 17, no. 4 (December 1, 2001): 467–82. http://dx.doi.org/10.1093/oxrep/17.4.467.

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23

Monroe, Charles, and John Newman. "Dendrite Growth in Lithium/Polymer Systems." Journal of The Electrochemical Society 150, no. 10 (2003): A1377. http://dx.doi.org/10.1149/1.1606686.

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24

Hernández-Machado, A., Hong Guo, J. L. Mozos, and David Jasnow. "Interfacial growth in driven diffusive systems." Physical Review A 39, no. 9 (May 1, 1989): 4783–88. http://dx.doi.org/10.1103/physreva.39.4783.

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25

Smirnov, Boris M. "Phenomena of growth of fractal systems." Soviet Physics Uspekhi 32, no. 10 (October 31, 1989): 941–42. http://dx.doi.org/10.1070/pu1989v032n10abeh002772.

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26

Langer, Eric S. "Single-Use Systems Growth Rate Plateauing." Genetic Engineering & Biotechnology News 31, no. 18 (October 2011): 48. http://dx.doi.org/10.1089/gen.31.18.18.

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27

Lannes, David. "Secular growth estimates for hyperbolic systems." Journal of Differential Equations 190, no. 2 (May 2003): 466–503. http://dx.doi.org/10.1016/s0022-0396(02)00174-2.

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28

Nimni, M. E. "Polypeptide growth factors: targeted delivery systems." Biomaterials 18, no. 18 (September 1997): 1201–25. http://dx.doi.org/10.1016/s0142-9612(97)00050-1.

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29

Steel, Andrew C., and Stuart F. Reynolds. "The Growth of Rapid Response Systems." Joint Commission Journal on Quality and Patient Safety 34, no. 8 (August 2008): 489–95. http://dx.doi.org/10.1016/s1553-7250(08)34062-8.

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30

MILES, RICHARD. "Orbit growth for algebraic flip systems." Ergodic Theory and Dynamical Systems 35, no. 8 (August 7, 2014): 2613–31. http://dx.doi.org/10.1017/etds.2014.38.

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An algebraic flip system is an action of the infinite dihedral group by automorphisms of a compact abelian group $X$. In this paper, a fundamental structure theorem is established for irreducible algebraic flip systems, that is, systems for which the only closed invariant subgroups of $X$ are finite. Using irreducible systems as a foundation, for expansive algebraic flip systems, periodic point counting estimates are obtained that lead to the orbit growth estimate $$\begin{eqnarray}Ae^{hN}\leqslant {\it\pi}(N)\leqslant Be^{hN},\end{eqnarray}$$ where ${\it\pi}(N)$ denotes the number of orbits of length at most $N$, $A$ and $B$ are positive constants and $h$ is the topological entropy.

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31

Bourne, J. P., C. Atkinson, and R. C. Reed. "Diffusion-controlled growth in ternary systems." Metallurgical and Materials Transactions A 25, no. 12 (December 1994): 2683–94. http://dx.doi.org/10.1007/bf02649221.

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32

Hachon, Christophe. "Do Beveridgian pension systems increase growth?" Journal of Population Economics 23, no. 2 (June 20, 2009): 825–31. http://dx.doi.org/10.1007/s00148-009-0260-9.

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33

Hargreaves, John A. "Photosynthetic suspended-growth systems in aquaculture." Aquacultural Engineering 34, no. 3 (May 2006): 344–63. http://dx.doi.org/10.1016/j.aquaeng.2005.08.009.

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34

Marcellini, Paolo, and Gloria Papi. "Nonlinear elliptic systems with general growth." Journal of Differential Equations 221, no. 2 (February 2006): 412–43. http://dx.doi.org/10.1016/j.jde.2004.11.011.

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35

Spencer, G. S. G. "Hormonal systems regulating growth. A review." Livestock Production Science 12, no. 1 (January 1985): 31–46. http://dx.doi.org/10.1016/0301-6226(85)90038-7.

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36

Garrett, Timothy J. "Modes of growth in dynamic systems." Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences 468, no. 2145 (May 23, 2012): 2532–49. http://dx.doi.org/10.1098/rspa.2012.0039.

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Regardless of a system's complexity or scale, its growth can be considered to be a spontaneous thermodynamic response to a local convergence of down-gradient material flows. Here it is shown how system growth can be constrained to a few distinct modes that depend on the time integral of past flows and the current availability of material and energetic resources. These modes include a law of diminishing returns, logistic behaviour and, if resources are expanding very rapidly, super-exponential growth. For a case where a system has a resolved sink as well as a source, growth and decay can be characterized in terms of a slightly modified form of the predator–prey equations commonly employed in ecology, where the perturbation formulation of these equations is equivalent to a damped simple harmonic oscillator. Thus, the framework presented here suggests a common theoretical under-pinning for emergent behaviours in the physical and life sciences. Specific examples are described for phenomena as seemingly dissimilar as the development of rain and the evolution of fish stocks.

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37

Xiao, Rong-Fu, J. Iwan D. Alexander, and Franz Rosenberger. "Microscopic-growth morphologies in binary systems." Physical Review A 45, no. 2 (January 1, 1992): R571—R574. http://dx.doi.org/10.1103/physreva.45.r571.

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38

Huggins, Robert. "Capital, institutions and urban growth systems." Cambridge Journal of Regions, Economy and Society 9, no. 2 (May 21, 2016): 443–63. http://dx.doi.org/10.1093/cjres/rsw010.

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39

Eskandari, Mona, and Ellen Kuhl. "Systems biology and mechanics of growth." Wiley Interdisciplinary Reviews: Systems Biology and Medicine 7, no. 6 (September 9, 2015): 401–12. http://dx.doi.org/10.1002/wsbm.1312.

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40

Zhang, Sufeng, and Hasan Uludağ. "Nanoparticulate Systems for Growth Factor Delivery." Pharmaceutical Research 26, no. 7 (May 5, 2009): 1561–80. http://dx.doi.org/10.1007/s11095-009-9897-z.

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41

Ludwig, Ferdinand, Hannes Schwertfreger, and Oliver Storz. "Living Systems: Designing Growth in Baubotanik." Architectural Design 82, no. 2 (March 2012): 82–87. http://dx.doi.org/10.1002/ad.1383.

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42

Tuna, S. Emre. "Growth rate of switched homogeneous systems." Automatica 44, no. 11 (November 2008): 2857–62. http://dx.doi.org/10.1016/j.automatica.2008.03.017.

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43

Kobayashi, Kiyoshi, and Makoto Okumura. "The growth of city systems with high-speed railway systems." Annals of Regional Science 31, no. 1 (May 6, 1997): 39–56. http://dx.doi.org/10.1007/s001680050038.

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44

Webber, M. "Profitability and Growth in Multiregion Systems: Interpreting the Growth of Japan." Environment and Planning A: Economy and Space 30, no. 3 (March 1998): 415–37. http://dx.doi.org/10.1068/a300415.

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This paper reports calculations about reasons for the exceptional growth of Japan and for the slowdown in growth in the OECD since the early 1970s. The calculations are based on a multi-region off-equilibrium dynamic model of the two regions. It is argued that the exceptional rate of growth of Japan can be ascribed primarily to the fact that it has invested more of the OECD's capital than would be predicted simply on the basis of the relative capital stocks in the two regions; the fact that Japan's target rate of expansion of supply has far exceeded that of the rest of the OECD (ROECD), and, to a lesser extent, the fact that labour has been replaced in production faster in Japan than in the ROECD. Even if all exogenous variables and parameters had remained constant through the period 1960–90, rates of profitability, accumulation, and growth would have slowed, particularly in Japan. The Japan—ROECD system was on a trajectory far above dynamic equilibrium levels of profit, accumulation, and growth in 1960; to a large degree the post-1973 slowdown is simply the effect of the system returning to a trajectory that is nearer dynamic equilibrium. Superimposed on that internally driven slowdown have been the effects of changes in the proportion of investment that is allocated to the two regions and in the target rates of expansion of supply. This evidence argues strongly against theories of the Golden Age (regulation theory, the theory of industrial divides, theories of the organisation of capitalism) which identify special conditions that were operating in the 1950s and 1960s to raise rates of profit and growth.

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45

ZHU, YUJUN. "GROWTH IN TOPOLOGICAL COMPLEXITY AND VOLUME GROWTH FOR RANDOM DYNAMICAL SYSTEMS." Stochastics and Dynamics 06, no. 04 (December 2006): 459–71. http://dx.doi.org/10.1142/s0219493706001827.

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In this paper, relations between topological entropy, volume growth and the growth in topological complexity from homotopical and homological point of view are discussed for random dynamical systems. It is shown that, under certain conditions, the volume growth, the growth in fundamental group and the growth in homological group are all bounded from above by the topological entropy.

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46

Toom, Andrei. "On critical phenomena in interacting growth systems. Part II: Bounded growth." Journal of Statistical Physics 74, no. 1-2 (January 1994): 111–30. http://dx.doi.org/10.1007/bf02186809.

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47

Assidmi, L., S. Sarkani, and T. Mazzuchi. "A Systems Thinking Approach to Cost Growth in DoD Weapon Systems." IEEE Systems Journal 6, no. 3 (September 2012): 436–43. http://dx.doi.org/10.1109/jsyst.2011.2167816.

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48

Fujie, Kentarou, and Tomomi Yokota. "Boundedness of solutions to parabolic-elliptic chemotaxis-growth systems with signal-dependent sensitivity." Mathematica Bohemica 139, no. 4 (2014): 639–47. http://dx.doi.org/10.21136/mb.2014.144140.

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49

Moreira, André Luís, Adriano Bortolotti da Silva, Aline Santos, Caroline Oliveira dos Reis, and Paulo Roberto Correa Landgraf. "Cattleya walkeriana growth in different micropropagation systems." Ciência Rural 43, no. 10 (October 2013): 1804–10. http://dx.doi.org/10.1590/s0103-84782013001000012.

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The aim of the present research was to verify the in vitro growth of orchids in different systems of micropropagation, being cultivated in a bioreactor, with natural ventilation and conventional systems. Cattleya walkeriana plants were obtained from the germination of seeds in culture medium. After 8 months, seedlings with 1 cm of length were placed in a culture vessel according to the treatments, which counted with two micropropagation systems (conventional and natural ventilation) in three media of culture (liquid, solid with 5 or 6g L-1 of agar). Two additional treatments in bioreactor of temporary and continuous immersion were performed. The design was entirely randomized (ERD), consisting of a 2x3 factorial with two additional treatments, totaling 8 treatments with three repetitions. The temporary immersion bioreactor promoted a bigger growth of the aerial part and of the root system, bigger accumulation of dry mass and better control of water loss by the plants. The temporary immersion bioreactor is the best micropropagation system for the C. walkeriana growth in vitro.

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50

Antônio, Adilson C., Derly JH Silva, Wagner L. Araújo, and Paulo R. Cecon. "Tomato growth analysis across three cropping systems." Horticultura Brasileira 35, no. 3 (September 2017): 358–63. http://dx.doi.org/10.1590/s0102-053620170307.

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ABSTRACT The objective of this work was to analyze the growth of the Upiã tomato cultivar in the Vertical, Crossed Fence and Viçosa cultivation systems, in order to obtain explanations for the productive gains achieved in the Viçosa system. The experiment was conducted in Viçosa, Minas Gerais State, Brazil, from August 21st to December 5th, 2012, in the scheme of subdivided plots, being the plots represented by the cultivation systems: Vertical, using tape, 1.0×0.5 m spacing; Crossed Fence, staked with bamboo, 1.0x0.5 m spacing; and Viçosa, using tape, 2.0x0.2 m spacing. The subplots were composed by the sampling times of the plants: 15, 30, 45, 60 and 75 days after transplanting. The experimental design was in randomized blocks, with four replications. Each plot was composed by three lines of 10 plants, making a total of 30 plants per plot, being evaluated the four central plants of each plot. We evaluated the dry matter of leaves (MSF), stem (MSC), inflorescences (MSI), fruits (MSFr) and total (MST). Using the foliar area index, measured by digital scanners and the previously obtained dry masses, we determined the physiological growth indices: foliar area index (IAF), specific foliar area (AFE), relative growth rate (TCR), and net assimilation rate (TAL). The Viçosa system altered the growth pattern of the tomato, quantified by the growth analysis, in comparison to Crossed and Vertical Fences. The prolongation of the second growth phase for the dry matter of fruits could possibly explain the productive gains obtained in the Viçosa system. Additional studies are required in order to clarify the relationship between the duration of the second phase of fruit dry matter growth, the physiological indexes AFE, IAF and TAL with the size and fruit yield of the tomato.

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