Francesco Giannino

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The research for new products against pathogens, parasites and infesting species, in both agriculture and medicine, implies huge and increasing scientific, industrial and economic efforts. Traditional approaches are based on random screening procedures searching for bioactive compounds. However, the success of such methodologies in most cases has been(More)
Modelling organic matter decomposition is fundamental to understand biogeochemical cycling in terrestrial ecosystems. Current models use C/N or Lignin/N ratios to describe susceptibility to decomposition, or implement separate C pools decaying with different rates, disregarding biomolecular transformations and interactions and their effect on decomposition(More)
In simulation models of populations or communities, individual plants have often been obfuscated in favor of aggregated vegetation. This simplification comes with a loss of biological detail and a smoothing out of the demographic noise engendered by stochastic individual-scale processes and heterogeneities, which is significant among others when studying(More)
Computer models are nowadays part of the biologist's toolbox for studying biological dynamics and processes. Tissue development and functioning results from extremely complicated dynamics, that usual analysis does not come very far in terms of understanding the processes underlying those dynamics. In this context, mathematical and numerical models can help(More)
BACKGROUND Microbial population dynamics in bioreactors depend on both nutrients availability and changes in the growth environment. Research is still ongoing on the optimization of bioreactor yields focusing on the increase of the maximum achievable cell density. RESULTS A new process-based model is proposed to describe the aerobic growth of(More)
Recently, many efforts have been devoted to the implementation of web based learning tools, that have found widespread diffusion in high schools, graduate and undergraduate universities classes. They enable the fruition of educational materials through a web used user interface and they often implement the same cognitive model that is beyond a traditional(More)
The problem of integration of temporal models and Geographic Information Systems (GIS) involves theoretical and technical aspects. Many GIS applications are advertised in terms of their modeling capability but such modeling tools are often unable to handle full integration of spatial and dynamic processes. This paper, however, presents new software, SimArc,(More)
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