In this study, we seek to identify the means available to a public organization to prevent work-life conflict in an environment unlikely to reconcile these two spheres: the police profession. To do this, we will seek to understand the impacts of certain organizational variables (the perception of autonomy, the demands of the task, social and organizational support) and a psychographic variable (the sense of coherence) on the perception of this conflict.
Our mixed methodology mobilizes different approaches: a quantitative study that allows data exploration and individualinterviews.
This project was conducted during my PhD thesis: a joint collaboration between the University of Fribourg (Ecology and Informatics departments) and the HEIA-FR. Using a real dataset of niche-overlap graphs (graphs that depict the competition between species in the nature), we firstly developed a novel algorithm to detect efficiently chordless cycles and showed that these cycles are numerous in these graphs. Secondly, we investigated the structure of these networks using the theory of graphs. Finally, we simulated the abundance of species over time using systems of Lotka-Volterra differential equations and investigated the persistence of these species inside niche-overlap graphs networks using a generalized linear model.
We have developped a model that captures the trajectory of a gas balloon. With some sensors installed in the gondola we can anticipate potential instable atmospheric situations and predict the sand and gas consumption.
Moreover, we have developped tools to predict the trajectory of a balloon.
Under a collaboration between the ASAM Group and the Plastic Surgery Departments of Swiss University Hospitals, the ASAM group designed and implemented a databank intended to collect data related to bariatric surgery of a patient, as the pre and the post bariatric statuses, the prescribed treatments, the complications and others.
The ASAM Group has recently launched its Jupyter hub. The project intends to give students a set of interactive courses, as an introduction to the statistical software R. Thank Jupyter, one has the possibility to learn and test in a “live” environment line codes from different languages, as R, Python, Julia, etc. In the next years, the applied statistics master courses given by the ASAM Group will be each completed by Jupyter notebooks.
Absolute and relative change might be insufficient to meaningfully compare and interpret the sales volume of different sales channels. The goal of this project was to single out a meaningful indicator which is determined by some economically natural axioms and which allows to compare sales channels of different scales. The indicator proves to be interesting in its own right since it uncovers a relationship between marginal functions and economic elasticity and might be interpreted as a special kind of Cobb-Douglas-Function.
In order to study the air quality in houses, a large collection of data was carried out in new or renovated energy-efficient houses from Western Switzerland. The statistics consisted of analyzing questionnaires completed by the inhabitants as well as the measures of radon, volatile organic compounds and occurrence of molds. We had also to find which parameters (structure of the house, type of ventilation, maintenance,…) have an influence on a high level of radon, of volatile organic compound and mold.
Our aim is to study and monitor the indoor air quality with up-to-date data management and specific statistical analysis methods. It is important to notice that we could develop a measurement prototype owing to the possible synergies between miscellaneous R&D institutes.
Shape optimisation of a supersonic aircraft using free-form deformation…