L'art. 320 al. 2 CO: une règle compatible avec les dispositions sur la conclusion des contrats?

Le Tribunal fédéral et la doctrine majoritaire interprètent l'art. 320 al. 2 CO comme un cas où l'existence d'un contrat de travail peut être déduite de circonstances de fait indépendantes de tout consensus. Il s'agirait donc là d'une dérogation aux art. 1 ss CO. Dans cette contribution, nous proposons une conception de l'art. 320 al. 2 CO compatible avec le mécanisme ordinaire de conclusion des contrats. En l'occurrence, le contrat de travail serait conclu par actes concluants sur la base d'un accord de droit, c'est-à-dire en appliquant le principe de la confiance. Alors que la lettre et le but de protection de l'art. 320 al. 2 CO semblent plutôt neutres à cet égard, l'histoire et la systématique de cet alinéa plaident clairement en faveur de la conception ici proposée.

Update on the non-prewhitening model observer in computed tomography for the assessment of the adaptive statistical and model-based iterative reconstruction algorithms.

The state of the art to describe image quality in medical imaging is to assess the performance of an observer conducting a task of clinical interest. This can be done by using a model observer leading to a figure of merit such as the signal-to-noise ratio (SNR). Using the non-prewhitening (NPW) model observer, we objectively characterised the evolution of its figure of merit in various acquisition conditions. The NPW model observer usually requires the use of the modulation transfer function (MTF) as well as noise power spectra. However, although the computation of the MTF poses no problem when dealing with the traditional filtered back-projection (FBP) algorithm, this is not the case when using iterative reconstruction (IR) algorithms, such as adaptive statistical iterative reconstruction (ASIR) or model-based iterative reconstruction (MBIR). Given that the target transfer function (TTF) had already shown it could accurately express the system resolution even with non-linear algorithms, we decided to tune the NPW model observer, replacing the standard MTF by the TTF. It was estimated using a custom-made phantom containing cylindrical inserts surrounded by water. The contrast differences between the inserts and water were plotted for each acquisition condition. Then, mathematical transformations were performed leading to the TTF. As expected, the first results showed a dependency of the image contrast and noise levels on the TTF for both ASIR and MBIR. Moreover, FBP also proved to be dependent of the contrast and noise when using the lung kernel. Those results were then introduced in the NPW model observer. We observed an enhancement of SNR every time we switched from FBP to ASIR to MBIR. IR algorithms greatly improve image quality, especially in low-dose conditions. Based on our results, the use of MBIR could lead to further dose reduction in several clinical applications.

Public Art, strategies for the regeneration of public space

This paper discusses some of the key concepts in the consideration of public art as a central element in urban regeneration processes, especially in reference to its role in the processes of citizen participation.

The importance of myth in contemporary art: myth, poetry and women

This project is intended to prove the prevalent importance of myth in contemporary art and, more specifically, to highlight how myth and poetry have shaped and reflected ideas of womanhood over time. A selection of significant literary periods, authors and works from the Renaissance to our days have been chosen in order to provide a wide scope of the evolution that the portrayal of women has undergone. Special attention has been paid to the way in which a group of selected poets have contributed to the construction and deconstruction of traditional Judeo-Christian and Greco-Roman myths strongly attached to patterns of male dominance.

Typing less common ovarian tumors: A training tool based on a pattern-based algorithm applied to a set of 20 virtual slides.

Context: Ovarian tumors (OT) typing is a competency expected from pathologists, with significant clinical implications. OT however come in numerous different types, some rather rare, with the consequence of few opportunities for practice in some departments. Aim: Our aim was to design a tool for pathologists to train in less common OT typing. Method and Results: Representative slides of 20 less common OT were scanned (Nano Zoomer Digital Hamamatsu®) and the diagnostic algorithm proposed by Young and Scully applied to each case (Young RH and Scully RE, Seminars in Diagnostic Pathology 2001, 18: 161-235) to include: recognition of morphological pattern(s); shortlisting of differential diagnosis; proposition of relevant immunohistochemical markers. The next steps of this project will be: evaluation of the tool in several post-graduate training centers in Europe and Québec; improvement of its design based on evaluation results; diffusion to a larger public. Discussion: In clinical medicine, solving many cases is recognized as of utmost importance for a novice to become an expert. This project relies on the virtual slides technology to provide pathologists with a learning tool aimed at increasing their skills in OT typing. After due evaluation, this model might be extended to other uncommon tumors.

Hyperuricaemia and gout: state of the art and future perspectives.

Major progress has been made in the past decade in understanding the pathogenesis and treatment of gout. These advances include identification of the genetic and environmental risk factors for gout, recognition that gout is an important risk factor for cardiovascular disease, elucidation of the pathways regulating the acute gout attack and the development of novel therapeutic agents to treat both the acute and chronic phases of the disease. This review summarises these advances and highlights the research agenda for the next decade.

El cos en el net.art

L'objectiu d'aquest projecte és l'estudi del cos en el net.art en el període comprès entre el 1996 i el 1999. La intenció d'aquest estudi és utilitzar tècniques qualitatives i de comparació per poder realitzar l'anàlisi de les obres que ens ajudin a arribar a unes conclusions sobre la manera d'interpretar el cos en el net.art.

A hybrid algorithm combining metaheuristic with Monte Carlo simulation for solving the Stochastic Flow Shop problem

In this paper, a hybrid simulation-based algorithm is proposed for the StochasticFlow Shop Problem. The main idea of the methodology is to transform the stochastic problem into a deterministic problem and then apply simulation to the latter. In order to achieve this goal, we rely on Monte Carlo Simulation and an adapted version of a deterministic heuristic. This approach aims to provide flexibility and simplicity due to the fact that it is not constrained by any previous assumption and relies in well-tested heuristics.