Lathiere, ThomasJaubert, AnouckLewis, JeremyDavid-Tchouda, SandraBeard, DavidPinsault, Nicolas
Objective Non-traumatic musculoskeletal shoulder disorders are common. Their treatment, surgical or non-surgical, is associated with a considerable financial burden to health systems. The aim of this study was therefore to investigate the cost-effectiveness of surgical or rehabilitative treatments in this population. Data sources PubMed, Embase, NH...
Rybnikova, NataliyaBen-Haim, YakovBroitman, DaniMary-Krause, MurielleMelchior, Maria
Policy formulation and planning in many disciplines depends on mathematical modeling of empirical data. Linear regressions are common. However, data may vary substantially from one situation to another. This paper does not focus on statistical fluctuation. Rather, data at one time (e.g. prior to the 2019 Covid outbreak) may differ in important ways...
Elites are central to institutions and organisations, given that they are shaped and controlled by individuals and social groups or coalitions whose most influential players are elites. Based on a unique and representative survey of hyper-elites in Madagascar, this article explores the specificity of political elite trajectories and investigates th...
De-León Almaraz, SofíaMoustapha Mai, TchougouneLoganathan, M.K.Azzaro-Pantel, Catherine
Estimating the reliability of future energy supply chains is a vital yet complex task driven by environmental and energy security concerns in the context of the ongoing energy transition. This transition necessitates the integration of new technologies and systems into interconnected networks or supply chains. In this context, hydrogen plays a cruc...
This paper presents a machine learning analysis of driving behaviors in informal minibus taxis, focusing on both controlled and uncontrolled environments. Informal minibus taxis play a crucial role in urban transportation, particularly in developing countries, yet their driving patterns and safety implications remain under-explored. We utilize expl...
Dimensionality reduction is an essential step in the processing of analytical chemistry data. When this reduction is carried out by variable selection, it can enable the identification of biochemical pathways. CovSel has been developed to meet this requirement, through a parsimonious selection of non-redundant variables. This article presents the g...
Self-reported outcomes are often collected longitudinally in psychological research. Individuals may answer to some questionnaire items at various times and on many occasions, making continuous-time models more appropriate than discrete-time specifications. Moreover, Rasch family models allowing for item-level analysis give the opportunity to explo...
In many cities, shared micromobility services (SMMS) have become popular. These services contribute to the popularity of car-alternative mobility by promoting the use of micro-vehicles. Bike-sharing and escooter-sharing systems are examples of these services. Despite their potential, SMMS are still marginal. To unlock this full potential, there is ...