An in silico prediction tool for the expansion culture of human skeletal muscle myoblasts by Yuki Kagawa, Masahiro Kino-oka

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Modelling the development of herbicide resistance by Rummland, Janin, Kerlen, Dirk, Nordmeyer, Henning, Richter, Otto

“…Through an embedment into a cellular automaton the dispersal of genetic information is simulated at field scale. …”

Predicting the spatio-temporal distribution of the invasive alien plant Andropogon virginicus, in the South Korean peninsula considering long-distance dispersal capacities. by Jeong-Soo Park, Hyohyemi Lee

“…We predicted the spatial-temporal distribution of the alien plant Andropogon virginicus, in the Korean peninsula under climate change scenario using Random Forest (RF) and Cellular Automaton (CA) methods. Land use, barriers to dispersal, long-distance dispersal frequency, and maximum long-distance dispersal range were considered in our analysis. …”
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Driving mechanisms and multi-scenario simulation of land use change based on National Land Survey Data: a case in Jianghan Plain, China by Heng Zhou, Heng Zhou, Mingdong Tang, Jun Huang, Xiaoxia Mei, Haijuan Zhao, Haijuan Zhao

“…Utilizing the National Land Survey Data (NLSD) of Jiangling County in Jianghan Plain (2011–2020) and the patch-generating land use simulation (PLUS) model, this paper analyzed the characteristics of land use evolution, applied the random forest classification (RFC) to analyze the driving mechanism, simulated the 2035 land use pattern under three scenarios of natural development, planning guidance and ecological protection through Markov and Cellular Automaton based on multiple random seeds (CARS) models, and proposed several countermeasures. …”
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