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International Rice Baseline with Deterministic and Stochastic Projections, 2012-2021 AgEcon
Wailes, Eric J.; Chavez, Eddie C..
This publication contains recent baseline projections from the Arkansas Global Rice Economics Program (AGREP) for U.S. and international rice economies. These projections serve as a baseline for evaluating and comparing alternative macroeconomic, policy, weather, and technological scenarios. They are intended for use by government agencies and officials, farmers, consumers, agribusinesses and others who conduct medium-range and long-term planning. The AGREP baseline projections are grounded in a series of assumptions about the general economy, agricultural policies, weather, and technological change. It is generally assumed that current agricultural policies will be continued in the United States and other countries reported in this study. The AGREP World...
Tipo: Technical Report Palavras-chave: International rice; Baseline; Policy; Deterministic; Stochastic; Arkansas Global Rice Model; Demand and Price Analysis; Land Economics/Use; C02; F01; F14; F17; Q17; Q18; R11.
Ano: 2012 URL: http://purl.umn.edu/123203
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Stochastic modeling for a better approach of the in vitro observed growth of colon adenocarcinoma cells BABT
Ruiz-Gómez,Miguel J.; Ruiz-Gómez,Antonio; Martínez Morillo,Manuel.
The definition of a stochastic model that reflects the cell growth and the use of computer software could be very useful in modelling the cell behaviour due to the possibility to introduce alterations in biology parameters to obtain different growth patterns without the use of laboratory material. Human colon adenocarcinoma cells were cultured and a growth curve was made by daily count of the cell number. Pielou modelling was applied for stochastic simulation of deterministic growth, making stochastic the cell division, the death rates and the transition time between division and death, by using different probabilities. A greater growth was produced when the cell division rate increased, considering the density dependence constant. In contrast, a lower...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Colon carcinoma; Cell growth; Stochastic; Deterministic; Simulation.
Ano: 2006 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1516-89132006000300006
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