Search results for "Modell"

Towards a Reduction of Greenhouse Gases: a New Decision Support System for Design, Management and Operation of Wastewater Treatment Plants

2015

The increasing attention for the environment has led to reduce the emissions from wastewater treatment plants (WWTPs). Moreover, the increasing interest towards the greenhouse gas (GHG) emissions from WWTPs suggests to reconsider the traditional tools used for designing and managing WWTPs. Indeed, nitrous oxide (N2O), carbon dioxide (CO2) and methane (CH4) can be emitted from wastewater treatment significantly contributing to the greenhouse gas (GHG) footprint. The reduction of energy consumption as well as GHG emission are of particular concern for large WWTPs which treat the majority of wastewater in terms of both volume and pollution load. Nowadays, there is an increasing need to develop…

Cobalt complex based on cyclam for reversible binding of nitric oxide

2008

We report the synthesis and theoretical calculations of nitrosyl cobalt complexes based on saturated tetraazamacrocycle for the reversible binding of nitric oxide (NO). Density-functional theory provides a rigorous theoretical framework for analysing, interpreting and investigating important parameters in order to further tune the properties of these complexes to the target application. We focus on understanding the stability of complexes in methanol solution as well as their reactivity and stability evolution in the presence of NO, O2 and higher nitrogen oxides intermediates. Calculations have been used to explore appropriate combinations of different macrocycles, metal centres and ligands…

Forma mentis networks map how nursing and engineering students enhance their mindsets about innovation and health during professional growth

2020

Reconstructing a “forma mentis”, a mindset, and its changes, means capturing how individuals perceive topics, trends and experiences over time. To this aim we use forma mentis networks (FMNs), which enable direct, microscopic access to how individuals conceptually perceive knowledge and sentiment around a topic, providing richer contextual information than machine learning. FMNs build cognitive representations of stances through psycholinguistic tools like conceptual associations from semantic memory (free associations, i.e., one concept eliciting another) and affect norms (valence, i.e., how attractive a concept is). We test FMNs by investigating how Norwegian nursing and engineering stude…

Structural and dynamic complexities of risk and catastrophe systems : an approach by system dynamics modelling

2006

Cette publication figure en ligne à l'adresse suivante : http://www-lih.univ-lehavre.fr/~bertelle/cossombook/complex22.pdf; International audience; Risk and catastrophe are complex systems. Within thescope of this paper, we focus our attention on structuraland dynamic complexities of catastrophes and on thepossibility of modelling and simulating its doublecomplexity with a formal and methodological framework:the General Systems Theory and System Dynamicsmodelling. We then briefly propose a model of urbancatastrophe related to a flood. We then propose some waysof research allowing exceeding the limits related to themodelling.

Il “Generative Design” nel progetto dell’involucro architettonico: Un modello applicativo

2008

Supporting fine-grained generative model-driven evolution

2010

Published version of an article in the journal: Software and Systems Modeling. Also available on SpringerLink:http://dx.doi.org/10.1007/s10270-009-0144-1 In the standard generative Model-driven Architecture (MDA), adapting the models of an existing system requires re-generation and restarting of that system. This is due to a strong separation between the modeling environment and the runtime environment. Certain current approaches remove this separation, allowing a system to be changed smoothly when the model changes. These approaches are, however, based on interpretation of modeling information rather than on generation, as in MDA. This paper describes an architecture that supports fine-gra…

Instructions to perform reference simulation for 'Subduction initiation triggered the Caribbean Large Igneous Province'

2023

Scripts and needed information and input files to perform the reference simulation of Riel et al., 2023: "Subduction initiation triggered the Caribbean Large Igneous Province", Nature Communications.

LaMEM version used in 'Subduction initiation triggered the Caribbean Large Igneous Province'

2022

LaMEM version used in 'Subduction initiation triggered the Caribbean Large Igneous Province' Master branch of LaMEM available at: https://bitbucket.org/bkaus/lamem/src/master/

GeomIO version used in 'Subduction initiation triggered the Caribbean Large Igneous Province'

2022

GeomIO version used in 'Subduction initiation triggered the Caribbean Large Igneous Province'

Sustainable development of apple snack formulated with blueberry juice and trehalose

2021

Novel products that carry concrete and relevant health benefits, with texture and flavor not substantially different from already available products, are generally well accepted by consumers. Vacuum impregnation is a non-thermal technology that allows the enrichment of fruit with different ingredients in solution. The characteristic of the resulting product is a combination of both the solid matrix and the impregnation solution. This work aimed at: (i) evaluating the effect of trehalose on anthocyanin retention after drying of apple snacks vacuum impregnated with blueberry juice