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Journal articles on the topic 'Growth dynamics'

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Published: 4 June 2021
Last updated: 28 January 2023

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1

Alderton, Gemma. "Tracking growth dynamics." Science 368, no. 6491 (May 7, 2020): 616.9–618. http://dx.doi.org/10.1126/science.368.6491.616-i.

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2

BASRI, M. Chatib, and Hal HILL. "Indonesian Growth Dynamics." Asian Economic Policy Review 6, no. 1 (June 2011): 90–107. http://dx.doi.org/10.1111/j.1748-3131.2011.01184.x.

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3

Watson, J. V. "Tumour growth dynamics." British Medical Bulletin 47, no. 1 (1991): 47–63. http://dx.doi.org/10.1093/oxfordjournals.bmb.a072461.

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4

Gravner, Janko, and David Griffeath. "Threshold growth dynamics." Transactions of the American Mathematical Society 340, no. 2 (February 1, 1993): 837–70. http://dx.doi.org/10.1090/s0002-9947-1993-1147400-3.

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5

BUETTNER, HELEN M. "Nerve Growth Dynamics." Annals of the New York Academy of Sciences 745, no. 1 (December 17, 2006): 210–21. http://dx.doi.org/10.1111/j.1749-6632.1994.tb44374.x.

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6

Chumacero, Rómulo A., and J. Rodrigo Fuentes. "Chilean growth dynamics." Economic Modelling 23, no. 2 (March 2006): 197–214. http://dx.doi.org/10.1016/j.econmod.2005.08.003.

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7

Tanaka, E., T. Ho, and M. W. Kirschner. "The role of microtubule dynamics in growth cone motility and axonal growth." Journal of Cell Biology 128, no. 1 (January 1, 1995): 139–55. http://dx.doi.org/10.1083/jcb.128.1.139.

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The growth cone contains dynamic and relatively stable microtubule populations, whose function in motility and axonal growth is uncharacterized. We have used vinblastine at low doses to inhibit microtubule dynamics without appreciable depolymerization to probe the role of these dynamics in growth cone behavior. At doses of vinblastine that interfere only with dynamics, the forward and persistent movement of the growth cone is inhibited and the growth cone wanders without appreciable forward translocation; it quickly resumes forward growth after the vinblastine is washed out. Direct visualization of fluorescently tagged microtubules in these neurons shows that in the absence of dynamic microtubules, the remaining mass of polymer does not invade the peripheral lamella and does not undergo the usual cycle of bundling and splaying and the growth cone stops forward movement. These experiments argue for a role for dynamic microtubules in allowing microtubule rearrangements in the growth cone. These rearrangements seem to be necessary for microtubule bundling, the subsequent coalescence of the cortex around the bundle to form new axon, and forward translocation of the growth cone.
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8

Mygal, V. P. "Influence of radiation heat transfer dynamics on crystal growth." Functional materials 25, no. 3 (September 27, 2018): 574–80. http://dx.doi.org/10.15407/fm25.03.574.

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9

Milić Beran, Ivona. "SYSTEM-DYNAMIC MODELING OF THE IMPACT OF SOCIAL CAPITAL ON ECONOMIC GROWTH." DIEM: Dubrovnik International Economic Meeting 6, no. 1 (September 2021): 25–32. http://dx.doi.org/10.17818/diem/2021/1.3.

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This paper presents a qualitative and quantitative system-dynamic modeling of the impact of social capital on economic growth. Social capital is the most problematic of all the concepts that determine progress. On a broad conceptual level, there is agreement about the importance of social capital, which has been used to explain differences in progress among nations with similar natural, human and physical capital. Recent research suggests that it is more important to include an explanation of the interaction of economic actors and their organization when measuring progress than to measure progress without the influence of social capital. The purpose of this paper is to develop a system-dynamic model of the impact of social capital on economic growth that will enable better understanding and management of social capital. In order to build a system dynamics model, the paper will: provide an analysis and overview of social capital and system dynamics; develop a system dynamics structural and mental-verbal model of the impact of social capital on economic growth; and develop a mathematical model of economic growth. This will provide a practical insight into the dynamic behavior of the observed system, i.e., analyzing economic growth and observing the mutual correlation between individual parameters. Keywords: social capital, economic growth, system dynamics, structural model
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10

Buia, Maria Cristina, Gianluigi Cancemi, and Lucia Mazzella. "Structure and growth dynamics of Cymodocea nodosa meadows." Scientia Marina 66, no. 4 (December 30, 2002): 365–73. http://dx.doi.org/10.3989/scimar.2002.66n4365.

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11

Aziz, Jahangir, and Christoph Duenwald. "China's Provincial Growth Dynamics." IMF Working Papers 01, no. 3 (2001): 1. http://dx.doi.org/10.5089/9781451841909.001.

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12

Hammer, Samuel. "Growth dynamics inCladonia grayi." Mycologia 89, no. 6 (November 1997): 900–907. http://dx.doi.org/10.1080/00275514.1997.12026860.

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13

Raut, L. K., and T. N. Srinivasan. "Dynamics of endogenous growth." Economic Theory 4, no. 5 (September 1994): 777–90. http://dx.doi.org/10.1007/bf01212030.

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14

Ash, C. "Estimating bacterial growth dynamics." Science 349, no. 6252 (September 3, 2015): 1066–68. http://dx.doi.org/10.1126/science.349.6252.1066-l.

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15

Adiku, S. G. K., R. D. Braddock, and C. W. Rose. "Simulating root growth dynamics." Environmental Software 11, no. 1-3 (January 1996): 99–103. http://dx.doi.org/10.1016/s0266-9838(96)00041-x.

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16

Liu, Chunming, Kaori Kubo, Endian Wang, Kyu-Sung Han, Feng Yang, Guanqun Chen, Fernando A. Escobedo, Geoffrey W. Coates, and Peng Chen. "Single polymer growth dynamics." Science 358, no. 6361 (October 19, 2017): 352–55. http://dx.doi.org/10.1126/science.aan6837.

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17

Goldenfeld, Nigel. "Dynamics of dendritic growth." Journal of Power Sources 26, no. 1-2 (May 1989): 121–28. http://dx.doi.org/10.1016/0378-7753(89)80021-7.

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18

Reich, Jerome M., and Jong-Sung Kim. "Lung cancer growth dynamics." European Journal of Radiology 80, no. 3 (December 2011): e458-e461. http://dx.doi.org/10.1016/j.ejrad.2010.08.006.

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19

Bohman, Tom, and Janko Gravner. "Random threshold growth dynamics." Random Structures and Algorithms 15, no. 1 (August 1999): 93–111. http://dx.doi.org/10.1002/(sici)1098-2418(199908)15:1<93::aid-rsa4>3.0.co;2-k.

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20

GONG, XIU-FANG, GONG-XIAN YANG, XI-JING NING, YIN WANG, and PENG LI. "ISOMER SPECTRUM OF C30 CLUSTER AND THE GROWTH DYNAMICS." International Journal of Modern Physics B 24, no. 11 (April 30, 2010): 1441–48. http://dx.doi.org/10.1142/s0217979210053227.

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We calculated the isomer spectrum of C 30 cluster by time-going-backward quasi-dynamics method and performed molecular dynamic simulations of the cluster growth in He buffer gas at 2500 K. Based on geometrical shapes, the isomers can be classified into closed cages, open cages, bowls, sheets and other irregular shapes. Although potential energies and free energies of the sheet isomers are much higher than those of the closed cage isomers, the dynamical simulations show that the sheet isomers rather than the cage isomers dominate in the resultant clusters at the simulation temperature and the most probable sheet isomer lies on the 47th level counted from the bottom one of the isomer spectrum.
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21

Yukalov, V. I., E. P. Yukalova, and D. Sornette. "Dynamic Transition in Symbiotic Evolution Induced by Growth Rate Variation." International Journal of Bifurcation and Chaos 27, no. 03 (March 2017): 1730013. http://dx.doi.org/10.1142/s0218127417300130.

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In a standard bifurcation of a dynamical system, the stationary points (or more generally attractors) change qualitatively when varying a control parameter. Here we describe a novel unusual effect, when the change of a parameter, e.g. a growth rate, does not influence the stationary states, but nevertheless leads to a qualitative change of dynamics. For instance, such a dynamic transition can be between the convergence to a stationary state and a strong increase without stationary states, or between the convergence to one stationary state and that to a different state. This effect is illustrated for a dynamical system describing two symbiotic populations, one of which exhibits a growth rate larger than the other one. We show that, although the stationary states of the dynamical system do not depend on the growth rates, the latter influence the boundary of the basins of attraction. This change of the basins of attraction explains this unusual effect of the qualitative change of dynamics by growth rate variation.
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22

Valík, Ľ., F. Görner, and D. Lauková. "Growth dynamics of Bacillus cereus and shelf-life of pasteurised milk." Czech Journal of Food Sciences 21, No. 6 (November 18, 2011): 195–202. http://dx.doi.org/10.17221/3498-cjfs.

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Growth dynamics of Bacillus cereus in pasteurised milk was examined in storage tests performed at 5, 7, 9, 11, and 13&deg;C. The contents of B. cereus in pasteurised milk ranged from the absence in 4 ml of milk to 2.3 cfu/ml. The initial total plate counts varied from 1.1 &times; 104 to 3.0 &times; 104 cfu/ml (n = 15). Growth curves of Bacillus cereus showed that strains naturally present in pasteurised milk grew well at 5 and 7&deg;C. A square root model was used for the growth rate analysis in relation to the storage temperature of milk (&radic;&mu; = 0.026 (T &ndash; T<sub>min</sub>); R<sup>2</sup> = 0.93). Lag-time of B. cereus was described by a modified Arrhenius-type equation (&lambda; = &ndash;45.667 + 1035.3/T; R<sup>2</sup> = 0.94). The comparison of the time prediction calculated for B. cereus to reach the density of 104 cfu/ml in pasteurised milk and that for the total plate counts to reach levels of 5.0 &times; 104 cfu/ml proved that these plate counts were reached in all tests earlier than the level of 104 cfu/ml could be reached by B. cereus. It is thus concluded that pasteurised milk is spoiled by the growth of saprophytic psychrotrophic bacteria before B. cereus can produce hazardous levels of its enterotoxin. &nbsp;
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23

Hammer, Samuel. "Growth Dynamics in Cladonia grayi." Mycologia 89, no. 6 (November 1997): 900. http://dx.doi.org/10.2307/3761110.

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24

Usmanov, B. F. "INNOVATIVE DRIVERS AND GROWTH DYNAMICS." World of Transport and Transportation 16, no. 3 (June 28, 2018): 256–60. http://dx.doi.org/10.30932/1992-3252-2018-16-3-23.

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For the English abstract and full text of the article please see the attached PDF-File (English version follows Russian version).Management of economic efficiency of operational activities of railway transport using innovative approaches: Monograph. D. A. Macheret, A. V. Ryshkov, N. A. Valeev [et al]; Ed. by D. A. Macheret and A. V. Ryshkov. Moscow, RIOR, 2018, 212 p. ABSTRACT In the collective monograph, the dynamics of economic efficiency of operational activities of railways and use of certain types of industrial resources of the industry are analyzed, influence of innovations and market conditions is shown, and a scientifically based tool for managing economic efficiency in the sphere of operation of rail transport in conditions of innovation-oriented development is proposed. The book is intended for managers and specialists of industry companies, government regulation bodies, researchers and university professors. Keywords: railway transport, operation, economic efficiency, management, innovations.
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25

Rees, M., and M. J. Crawley. "Growth, Reproduction and Population Dynamics." Functional Ecology 3, no. 6 (1989): 645. http://dx.doi.org/10.2307/2389496.

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26

Bales, G. S., and A. Zangwill. "Growth dynamics of sputter deposition." Physical Review Letters 63, no. 6 (August 7, 1989): 692. http://dx.doi.org/10.1103/physrevlett.63.692.

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27

Page, Edward C., and Dionyssis Dimitrakopoulos. "The Dynamics of Eu Growth." Journal of Theoretical Politics 9, no. 3 (July 1997): 365–87. http://dx.doi.org/10.1177/0951692897009003006.

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28

Okabe, S., and N. Hirokawa. "Actin dynamics in growth cones." Journal of Neuroscience 11, no. 7 (July 1, 1991): 1918–29. http://dx.doi.org/10.1523/jneurosci.11-07-01918.1991.

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29

Reati, Angelo. "Structural Dynamics and Economic Growth." Review of Political Economy 26, no. 1 (December 16, 2013): 149–54. http://dx.doi.org/10.1080/09538259.2013.837332.

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30

Pai, Vivek, and Moshe Favelukis. "Dynamics of Spherical Bubble Growth." Journal of Cellular Plastics 38, no. 5 (September 2002): 403–19. http://dx.doi.org/10.1177/0021955x02038005164.

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31

Kelly, M. "The Dynamics of Smithian Growth." Quarterly Journal of Economics 112, no. 3 (August 1, 1997): 939–64. http://dx.doi.org/10.1162/003355397555398.

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32

Menchón, S. A., and C. A. Condat. "Macroscopic dynamics of cancer growth." European Physical Journal Special Topics 143, no. 1 (April 2007): 89–94. http://dx.doi.org/10.1140/epjst/e2007-00075-1.

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33

SATO, Yuri. "Comment on “Indonesian Growth Dynamics”." Asian Economic Policy Review 6, no. 1 (June 2011): 108–9. http://dx.doi.org/10.1111/j.1748-3131.2011.01185.x.

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34

SUSSANGKARN, Chalongphob. "Comment on “Indonesian Growth Dynamics”." Asian Economic Policy Review 6, no. 1 (June 2011): 110–11. http://dx.doi.org/10.1111/j.1748-3131.2011.01186.x.

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35

Botova, Anastasiya Vladimirovna, and Svetlana Valer'evna Mukhametova. "Dynamics of gladiolus leaves growth." Сельское хозяйство, no. 1 (January 2022): 17–26. http://dx.doi.org/10.7256/2453-8809.2022.1.38291.

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Gladiolus L. are beautifully flowering perennials that do not overwinter in the open ground in the conditions of central Russia. Its varieties are characterized by a huge variety in the height of the peduncle, the color scheme and the corrugation degree of the flowers. The disadvantage of this crop is the complexity of the annual digging and planting of corms. The purpose of the article is to study the growth dynamics of real gladiolus leaves in the open ground. Leaf height measurements were carried out after 15 days in the process of growing plants on ridges. The objects of the study were 9 varieties: 'Aurora', 'Granatovyj braslet', 'Grad Kitezh', 'Devichi tajny', 'Dolgozhdannyj debyut', 'Majya Plisetskaya', 'Tanyusha', 'Shapka Monomaha', 'Noon Moon'. The study showed that the most intensive growth of gladiolus leaves occurred after the emergence of sprouts. On the 20th day after planting, the plants reached about 1/3 of their final height, and on the 35th day – 50%, after 2 months – the height was almost 90%. Most varieties were characterized by the greatest increase in the first accounting period, in the future its value decreased, reaching a minimum in the last accounting period. In the process of growth, the taller varieties remained tall, the shorter ones remained stunted. At each date of the study, 'Devichi tajny' had the highest height, 'Grad Kitezh' had the lowest height. The obtained data can be used in the cultivation of gladioli in nurseries and landscaping location.
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36

Greco, L., F. Santamaria, D. Salvatore, and G. de Ritis. "Growth dynamics in cystic fibrosis." Acta Paediatrica 82, no. 3 (March 1993): 254–60. http://dx.doi.org/10.1111/j.1651-2227.1993.tb12654.x.

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37

Carlsson, Bo, and Gunnar Eliasson. "Industrial Dynamics and Endogenous Growth." Industry & Innovation 10, no. 4 (December 2003): 435–55. http://dx.doi.org/10.1080/1366271032000163676.

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38

Romera, M., G. Pastor, G. Alvarez, and F. Montoya. "Growth in complex exponential dynamics." Computers & Graphics 24, no. 1 (February 2000): 115–31. http://dx.doi.org/10.1016/s0097-8493(99)00142-9.

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39

Gooday, Graham W. "The dynamics of hyphal growth." Mycological Research 99, no. 4 (April 1995): 385–94. http://dx.doi.org/10.1016/s0953-7562(09)80634-5.

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40

Shih, Mau-Hsiang, and Feng-Sheng Tsai. "Growth Dynamics of Cell Assemblies." SIAM Journal on Applied Mathematics 69, no. 4 (January 2009): 1110–61. http://dx.doi.org/10.1137/070697471.

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41

Dave, Hitesh, Megha Surve, C. Manohar, and Jayesh Bellare. "Myelin growth and initial dynamics." Journal of Colloid and Interface Science 264, no. 1 (August 2003): 76–81. http://dx.doi.org/10.1016/s0021-9797(03)00319-9.

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42

Fournier, Françoise, Robert A. Metzger, Alan Doolittle, April S. Brown, Carrie Carter-Coman, Nan Marie Jokerst, and Robert Bicknell-Tassius. "Growth dynamics of by MBE." Journal of Crystal Growth 175-176 (May 1997): 203–10. http://dx.doi.org/10.1016/s0022-0248(96)00888-3.

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43

Roe, Terry L., and Rodney B. W. Smith. "Disease dynamics and economic growth." Journal of Policy Modeling 30, no. 1 (January 2008): 145–68. http://dx.doi.org/10.1016/j.jpolmod.2007.09.004.

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44

Hurle, D. T. J., G. C. Joyce, M. Ghassempoory, A. B. Crowley, and E. J. Stern. "The dynamics of czochralski growth." Journal of Crystal Growth 100, no. 1-2 (February 1990): 11–25. http://dx.doi.org/10.1016/0022-0248(90)90603-i.

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45

Schindler, Jiří. "Dynamics of Bacillus colony growth." Trends in Microbiology 1, no. 9 (December 1993): 333–38. http://dx.doi.org/10.1016/0966-842x(93)90073-z.

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46

Chen, Shaowei, Allen C. Templeton, and Royce W. Murray. "Monolayer-Protected Cluster Growth Dynamics." Langmuir 16, no. 7 (April 2000): 3543–48. http://dx.doi.org/10.1021/la991206k.

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47

Akkermans, Reinier L. C., So/ren Toxvaerd, and W. J. Briels. "Molecular dynamics of polymer growth." Journal of Chemical Physics 109, no. 7 (August 15, 1998): 2929–40. http://dx.doi.org/10.1063/1.476845.

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48

Mitchison, Tim, and Marc Kirschner. "Cytoskeletal dynamics and nerve growth." Neuron 1, no. 9 (November 1988): 761–72. http://dx.doi.org/10.1016/0896-6273(88)90124-9.

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49

Ribeiro, Rayanne Maria Paula, José Ricardo Tavares de Albuquerque, Manoel Galdino dos Santos, Aurélio Paes Barros Júnior, Leilson Costa Grangeiro, and Lindomar Maria da Silveira. "GROWTH DYNAMICS OF SESAME CULTIVARS." Revista Caatinga 31, no. 4 (December 2018): 1062–68. http://dx.doi.org/10.1590/1983-21252018v31n430rc.

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ABSTRACT Sesame is a plant with high morphological and physiological complexity, with great variability in growth habit. Quantitative growth analysis is an accessible and accurate tool for evaluating plant development and the contribution of different physiological processes to plant performance. In view of this, the purpose of this study was to evaluate the growth of sesame cultivars in two cropping seasons in the conditions of Mossoró-RN. Two experiments were conducted in Horta Didactics of UFERSA. The experimental delineation in each time was a randomized complete block design with four replications. The treatments were arranged in split plots where each experimental plot contained different sesame cultivars, CNPA G2, CNPA G3 and CNPA G4, and the subplots represented seven collection times, 21, 35, 49, 63, 77, 91 and 105 days after sowing (DAS). The growth of the sesame cultivars was slow at the beginning of the crop cycle, intensifying at the beginning of flowering (after 35 DAS). Among the physiological indexes studied, CNPA G4 cultivar was more efficient in relation to growth and varied depending on the cropping season.
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50

Laibman, David. "Cyclical Growth and Intersectoral Dynamics." Review of Radical Political Economics 20, no. 2-3 (June 1988): 107–13. http://dx.doi.org/10.1177/048661348802000217.

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