Hal-Diderot
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Les cartulaires-rouleaux des Cisterciens du Midi de la France (XIIe-XIIIe siècles)
No full textInternational audienc
Decline of a Tourist Destination in the Context of COVID-19 : Conservatism or (R)evolution in the Hotel Industry
No full textInternational audienceIdentify the outlook for the hotel industry in a declining and crisis situatio
De l’attaque ad hominem à l’insulte durant la campagne présidentielle française de 2017 sur Twitter
No full textOuvrage qui fait suite à la journée d’étude « Les usages politiques et sociaux de l’insulte », organisée par David Descamps (CLERSE, Université de Lille), Agathe Foudi (CLERSE, Université de Lille), Cédric Passard (CERAPS, Sciences Po Lille), Sciences Po Lille : 21-22 octobre 2020International audienceCe chapitre explore la place et la nature des attaques ad hominem, allant de la critique à l’insulte, entre les candidats à l’élection présidentielle de 2017 sur Twitter. Les résultats montrent que, bien que marginale, l’attaque ad hominem sert aux candidats à affirmer leur ethos en polarisant le débat autour de valeurs opposées. Une partie des attaques personnelles, et des rares insultes, portent la marque du populisme avec, aux extrêmes de l’échiquier politique, la remise en cause des élites
Imaging the brain in action: a motorized optical rotary joint for wide field fibroscopy in freely moving animals
No full textInternational audienceSignificance: The study of neuronal processes governing behavior in awake behaving mice is constantly boosted by the development of technological strategies, such as miniaturized microscopes and closed-loop virtual reality systems. However, the former limits the quality of recorded signals due to constrains in size and weight and the latter suffers from the restriction of the movement repertoire of the animal, therefore, hardly reproducing the complexity of natural multisensory scenes.Aim: Another strategy that takes advantage of both approaches consists of the use of a fiberbundle interface to carry optical signals from a moving animal to a conventional imaging system. However, as the bundle is usually fixed below the optics, its torsion resulting from rotations of the animal inevitably constrains the behavior over long recordings. Our aim was to overcome this major limitation of fibroscopic imaging.Approach: We developed a motorized optical rotary joint controlled by an inertial measurement unit at the animal's head.Results: We show its principle of operation, demonstrate its efficacy in a locomotion task, and propose several modes of operation for a wide range of experimental designs.Conclusions: Combined with an optical rotary joint, fibroscopic approaches represent an outstanding tool to link neuronal activity with behavior in mice at the millisecond timescale
Live Performance and Filmed Concerts: Remarks on Music Production and Livestreaming before, during, and after the Public Health Crisis
No full textInternational audienc
De la spatialisation à la contextualisation de l’Analyse du Cycle de vie – Une utopie?
No full textCe mémoire d’Habilitation à Diriger des Recherches se propose d’explorer l’intérêt, les limites, le sens et les valeurs de certains développements de la méthodologie d’évaluation environnementale qu’est l’analyse du cycle de vie (ACV). Ces développements méthodologiques ont été tout d’abord l’intégration des informations spatiales tout au long de l’ACV (spatialisation) jusqu’à l’intégration des éléments de contexte plus largement (contextualisation). Pour ce faire, un détour via un regard épistémologique de la pratique et de la recherche en ACV s’est révélé nécessaire. Puis les intérêts et limites de la mise en œuvre de la spatialisation en ACV sont détaillés sur la base d’une description circonstanciée de nos travaux depuis une quinzaine d’années. Enfin, la contextualisation de l’ACV comme perspective de recherche est exposée en précisant ces modalités potentielles de mise en œuvre à l’intersection entre différentes disciplines et entre sciences et sociétés
Arbeit und Familie in Nordwesteuropa im Spätmittelalter und in der Frühen Neuzeit | Travail et famille en Europe du Nord-Ouest au bas Moyen Âge et à l’époque moderne
No full textOuvrage trilingue allemand, français, anglaisInternational audienceArbeit und Familie in spätmittelalterlichen und frühneuzeitlichen Gesellschaften Nordwesteuropas waren Gegenstand eines Frankfurter Kolloquiums von ForscherInnen aus Frankreich, Deutschland und der Schweiz. Die Beiträge des daraus entstandenen Sammelbandes untersuchen vor allem die Agency der Frauen, ihr Verhältnis zur Arbeit im Kontext von Familienstrukturen sowie die Dynamik der sozialen Reproduktion – ob gewünscht oder aufgezwungen. Aus interdisziplinärer Perspektive haben die HistorikerInnen und RechtshistorikerInnen Gerichtsakten, Zunftordnungen, private Ehekorrespondenz, legislative Quellen, Gewohnheitsrechte, Lehrschriften, Personenstandsregister und Gemeindeverzeichnisse ausgewertet, um einen frischen Blick auf die (Rechts-)Geschichte der Arbeit in der Familie, in einem verwandtschaftlichen Netzwerk oder in vergleichbaren Kontexten zu werfen.Le thème du travail et de la famille dans les sociétés du bas Moyen Âge et de l’époque moderne en Europe du Nord-Ouest a réuni des chercheurs et des chercheuses originaires de France, d’Allemagne et de Suisse lors d’un colloque à Francfort-sur-le-Main. Les contributions du recueil qui en est issu explorent avant tout l’agentivité des femmes, leur rapport au travail dans le cadre de structures familiales, ainsi que les dynamiques de reproduction sociale, qu’elles soient souhaitées ou subies. Historiens et historiennes, historiens et historiennes du droit ont sollicité dans une perspective interdisciplinaire des archives judiciaires, des règlements de métiers, des correspondances privées maritales, des sources législatives, des coutumiers, des écrits doctrinaux, des actes d’état civil et des registres communaux afin d’offrir un nouveau regard sur l’histoire (du droit) du travail en famille, dans un réseau de parenté, ou dans des cadres comparables
Global burden of gout in 1990–2019: A systematic analysis of the Global Burden of Disease study 2019
No full textInternational audienceBackground and Aims: Although gout is one of the most common rheumatic diseases, world data are lacking because most studies have focused on industrialized countries. Therefore, we aimed to investigate the global burden of gout and its associations with the year of diagnosis, age, geographical region, sociodemographic status and various further risk factors. Methods: Retrospective data from the Global Burden of Disease (GBD) were used, initially collected between 1990 and 2019. Raw numbers and age-standardized rates (per 100,000 persons) of prevalence, incidence and years lived with disability (YLDs) of gout were extracted from GBD 2019 for 204 countries and territories and stratified by sex, age, year, sociodemographic index and geographic region. Correlations between gout and other chronic diseases were identified, and the burden attributable to high body mass index (BMI) and kidney dysfunction was described. Results: The total number of patients and gout age-standardized prevalence rate increased between 1990 and 2019. Gout was most prevalent in Australasia and high-income North America, and a higher sociodemographic index (SDI) was associated with higher age-standardized prevalence, incidence and YLDs. High BMI and kidney dysfunction were risk factors for gout, while gout was correlated with other kidney diseases. Conclusions: The global prevalence of gout, as well as incidence, and YLDs increased worldwide from 1990 to 2019 and had a significant association with sex, age, geographic region, SDI and risk factors. Understanding the complex interplay of environmental, sociodemographic and geographic risk factors is essential in mitigating the ever-rising disease burden of gout
Artificial Intelligence, Machine Learning and Deep Learning in Advanced Robotics, A Review
No full textInternational audienceArtificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL) have revolutionized the field of advanced robotics in recent years. AI, ML, and DL are transforming the field of advanced robotics, making robots more intelligent, efficient, and adaptable to complex tasks and environments. Some of the applications of AI, ML, and DL in advanced robotics include autonomous navigation, object recognition and manipulation, natural language processing, and predictive maintenance. These technologies are also being used in the development of collaborative robots (cobots) that can work alongside humans and adapt to changing environments and tasks. The AI, ML, and DL can be used in advanced transportation systems in order to provide safety, efficiency, and convenience to the passengers and transportation companies. Also, the AI, ML, and DL are playing a critical role in the advancement of manufacturing assembly robots, enabling them to work more efficiently, safely, and intelligently. Furthermore, they have a wide range of applications in aviation management, helping airlines to improve efficiency, reduce costs, and improve customer satisfaction. Moreover, the AI, ML, and DL can help taxi companies in order to provide better, more efficient, and safer services to customers. The research presents an overview of current developments in AI, ML, and DL in advanced robotics systems and discusses various applications of the systems in robot modification. Further research works regarding the applications of AI, ML, and DL in advanced robotics systems are also suggested in order to fill the gaps between the existing studies and published papers. By reviewing the applications of AI, ML, and DL in advanced robotics systems, it is possible to investigate and modify the performances of advanced robots in various applications in order to enhance productivity in advanced robotic industries