This paper is devoted to the construction and to the identification of a probabilistic model of random fields in presence of modeling errors, in high stochastic dimension and presented in the context of computational structural dynamics. Due to the high stochastic dimension of the random quantities which have to be identified using statistical inverse methods (challenging problem), a complete m...

One important function of the discussion forums of Massive Open Online Courses (MOOCs) is for students to post problems they are unable to resolve and receive help from their peers and instructors. There are a large proportion of threads that are not resolved to the satisfaction of the students for various reasons. In this paper, we attack this problem by firstly constructing a conceptual model...

The comparison and detection of the commonalities and differences in multiple structural ensembles is an important step in the use of molecular simulations to gain insight into the conformation and dynamics of complex biomacromolecules. While the average structure is often employed as the representative of an ensemble of structures in such comparisons, dynamic molecular systems with multiple co...

INTRODUCTION Gender differences have been observed in the pathogenesis of gambling disorder and gambling related urge and cognitions are predictive of relapse to problem gambling. A better understanding of these mechanisms concurrently may help in the development of more directed therapies. METHODS We evaluated gender effects on behavioural and cognitive paths to gambling disorder from self-r...

The SNE special issues on Object-oriented and Structural-dynamic Modelling and Simulation emphasize recent developments in languages and tools for object-oriented modelling of complex systems and on approaches, languages, and tools for structural-dynamic systems. Computer aided modelling and simulation of complex systems, using components from multiple application domains, have in recent years ...

Structural models are models for empirical work that have ‘deep’parameters that are invariant to changes in the economic environment. Structural modelling always involves theoretical modelling; my own feeling is that it is impossible to do good applied microeconometrics without also doing good theory. The polar extreme to structural modelling is quasi-experimental (or natural experiment) modell...

Flood modelling is among the most challenging scientific task because it covers a wide area of complex physical phenomena associated with highly uncertain and non-linear processes where development physically interpretive solutions usually suffers from lack recorded data [...]

Recently, it has become an important issue to ensure sustainability, especially in food supply chains, against the rapidly growing population, increasing demand, and sudden disruptions caused by uncertain times such as that COVID-19. Since chains vulnerable products processes, is critical understand sustainability factors of during COVID-19 pandemic. This study aims determine chains. An Interpr...