UNE NOUVELLE APPROCHE DU MORTE D’ARTHUR DE MALORY AU XXE SIèCLE : LA RééCRITURE MUSICALE DE LERNER ET LOEWE

Une nouvelle approche du Morte d’Arthur de Malory au XXe siècle : la réécriture musicale de Lerner et Loewe

Medieval literature is generally unknown, and is mainly addressed by numerous rewritings and adaptations through different media.The legend of King Arthur, for example, is mostly known through its adaptation into comics, movies or TV series.However, it is necessary to take into account in its diffusion the vast and often neglected influence of the

read more

Total robotic myomectomy in a complex case: Extending the limits

We present the case of a 30-year-old female with primary infertility who had multiple large myomas up to 22 weeks uterine size.She had a body mass index of 42 kg/m2 and also concurrent endometriosis, for which she was on medical management.After meticulous preoperative planning, total robotic myomectomy and endometriosis clearance was done.Four lar

read more

Embankment Breach Simulation and Inundation Mapping Leveraging High-Performance Computing for Enhanced Flood Risk Prediction and Assessment

Embankment breaches represent significant hazards to communities and infrastructure, precipitating catastrophic flood occurrences.The precise prediction of floods and understanding the scope of inundation stemming from embankment failures are imperative for effective disaster preparedness and response.This Sport Canteen research delves into a case

read more

Selective predation by fish: a further reason for the decline of native gammarids in the presence of invasives?

Predation by fish (rainbow trout and perch) on the invasive gammarids Dikerogammarus villosus and Echinogammarus ischnus and the natives Gammarus fossarum, Gammarus roeseli and Gammarus pulex was investigated under different substrate conditions (gravel, large stones, fine sand) in laboratory experiments.Gravel and stones (coarse substrates) should

read more

Averaged Soft Actor-Critic for Deep Reinforcement Learning

With the advent of the era of artificial intelligence, deep reinforcement learning (DRL) has achieved unprecedented success in high-dimensional and large-scale artificial intelligence tasks.However, the insecurity and instability of the DRL algorithm have an important impact on its performance.The Body Soft Actor-Critic (SAC) algorithm uses advance

read more