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Les institutions, qu'elles soient politiques, légales, financières ou administratives, fournissent le cadre et les règles nécessaires à une économie stable et prospère. Une solide gouvernance, la primauté du droit, la transparence et la lutte contre la corruption sont autant de facteurs qui favorisent un environnement propice aux investissements, à l'innovation et à la création d'emplois. L'objectif de cet article est d'examiner l’influence des institutions sur la performance économique des pays de la région MENA. L’étude porte sur un panel de 14 pays pour la période 1996-2021 en utilisant la méthode dynamique des moments généralisés en système (GMM) de Blundell et Bond (1998). Les résultats montrent que le les institutions ont un effet positif et significatif sur la croissance économique des pays de la région MENA.

The main objective of our present article is to enlighten researchers on the main epistemological paradigms, namely: positivism, constructivism and interpretativism, to carry out their research work in management sciences, but also for help to choose an appropriate methodology for an efficient construction of knowledge, and know how to justify the scientificity of the latter. After having first presented an overview of scientific research in management sciences: its definition, its specificities, its trends and its models.

There is a growing need for systems that efficiently support the work of medical teams at the precision-oncology point of care. Here, we present the implementation of the Molecular Tumor Board Portal (MTBP), an academic clinical decision support system developed under the umbrella of Cancer Core Europe that creates a unified legal, scientific and technological platform to share and harness next-generation sequencing data. Automating the interpretation and reporting of sequencing results decrease the need for time-consuming manual procedures that are prone to errors. The adoption of an expert-agreed process to systematically link tumor molecular profiles with clinical actions promotes consistent decision-making and structured data capture across the connected centers. The use of information-rich patient reports with interactive content facilitates collaborative discussion of complex cases during virtual molecular tumor board meetings. Overall, streamlined digital systems like the MTBP are crucial to better address the challenges brought by precision oncology and accelerate the use of emerging biomarkers., (© 2022. The Author(s).)

The evolution of the next generation sequencing technology increases the demand for efficient solutions, in terms of space and time, for several bioinformatics problems. This paper presents a practical and easy-to-implement solution for one of these problems, namely, the all-pairs suffix-prefix problem, using a compact prefix tree. The paper demonstrates an efficient construction of this time-efficient and space-economical tree data structure. The paper presents techniques for parallel implementations of the proposed solution. Experimental evaluation indicates superior results in terms of space and time over existing solutions. Results also show that the proposed technique is highly scalable in a parallel execution environment.

The all-pairs suffix-prefix matching problem is a basic problem in string processing. It has an application in the de novo genome assembly task, which is one of the major bioinformatics problems. Due to the large size of the input data, it is crucial to use fast and space efficient solutions. In this paper, we present a space-economical solution to this problem using the generalized Sadakane compressed suffix tree. Furthermore, we present a parallel algorithm to provide more speed for shared memory computers. Our sequential and parallel algorithms are optimized by exploiting features of the Sadakane compressed index data structure. Experimental results show that our solution based on the Sadakane's compressed index consumes significantly less space than the ones based on noncompressed data structures like the suffix tree and the enhanced suffix array. Our experimental results show that our parallel algorithm is efficient and scales well with increasing number of processors.