Статьи 2019 года (A...Z)

Barbuto A., Lopolito A., Santeramo F.G. (2019) Improving diffusion in agriculture: an agent-based model to find the predictors for efficient early adopters // Agricultural and Food Economics.
The aim of this paper is to find the network features of the early adopters associated with high adoption rates of a specific new practice: the use of biodegradable mulching films containing soluble bio-based substances derived from municipal solid wastes. We simulated the diffusion process by means of an agentbased model calibrated on real-world data.

Browning F., Moore K., Campos J. (2019) Exploring Negative Absolute Temperature Using NetLogo // The Physics Journal, 57(26), 26-27.

Jaxa-Rozen M., Kwakkel H.J, Bloemendal M. (2019) A coupled simulation architecture for agent-based/geohydrological modelling with NetLogo and MODFLOW // Environmental Modelling and Software 115 (2019) 19-37.
This work introduces a Python-based software architecture which couples the NetLogo agent-based platform with the MODFLOW/SEAWAT geohydrological modelling environment. This approach enables users to design agent-based models in NetLogo's user-friendly platform, while benefiting from the full capabilities of MODFLOW/SEAWAT. This workflow is illustrated for a simplified application of Aquifer Thermal Energy Storage.

Kamimura K., Gardiner B., Dupont S., Finnigan J. (2019) Agent-based modelling of wind damage proceses and patterns in forests // Journal «Agricultural and Forest Meteorology», 268 (2019), pp. 279-288.
Powerful storms, consisting of strong gusts and winds, damage forests. Therefore, foresters need forest management strategies to reduce the damage risk. This paper focused on the damage patterns within the forest as the final results of multiple tree-wind dynamic interactions in time and space during a storm.

Kostylenko O., Rodrigues H., Torres D. (2019) The spread of a financial virus through Europe and beyond // AIMS Mathematics, Volume 4, Issue 1, pp.86-98.

Line Have Musaeus P.M., Musaeus P. (2019).Computational Thinking in the Danish High School: Learning Coding, Modeling, and Content Knowledge with NetLogo // Proceedings of the SIGCSE '19 Proceedings of the 50th ACM Technical Symposium on Computer Science Education (pp. 913-918). Minneapolis, MN, USA.

Liu Y., Li F. & Su Y. (2019) Critical Factors Influencing the Evolution of Companies’ Environmental Behavior: An Agent-Based Computational Economic Approach SAGE Open.

Malaina A. (2019) The Paradigm of Complexity in Sociology: Epistemological and Methodological Implications, Complexity Applications // Language and Communication Sciences, 31-42.

Ozawa S., Haynie D., Bessias S., Laing S., Ladi E. (2019) Modeling the Economic Impact of Substandard and Ffalsified Antimalarials in the Democratic Republic of the Congo // The American Journal of Tropical Medicine and Hygiene.

Weintrop D., Bau D., Wilensky U. (2019). The Cloud is the Limit: A case study of programming on the web, with the web // International Jounal of Child-Computer Interaction. (2019), https://doi.org/10.1016/j.ijcci.2019.01.001.
In this paper, we present theoretical and practical arguments for online introductory programming environments as powerful learning tools and present data showing various ways young learners take advantage of features of the environment enabled by being situated online.

Yarkova O.N., Renner A.G. (2019) Modeling the Ruin Probability of a Non-state Pension Fund Taking into Account Risky Investments // In: Solovev D. (eds) Smart Technologies and Innovations in Design for Control of Technological Processes and Objects: Economy and Production. FarEastСon 2018. Voume 1. Smart Innovation, Systems and Technologies, vol 138. Springer, Cham. P. 528-539.