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Le "bien-être" et le "mal-être" adolescent face aux réseaux sociaux numériques (RSN)
No full textNational audienc
Self-supervised Deep Learning for mmWave Beam Steering Exploiting Sub-6 GHz Channels
No full textInternational audiencemmWave communication requires accurate and continuous beam steering to overcome the severe propagation loss and user mobility. In this paper, we leverage a self-supervised deep learning approach to exploit sub-6 GHz channels and propose a novel method to predict beamforming vectors in the mmWave band for a single access point – user link. This complex channel-beam mapping is learned via data issued from the DeepMIMO dataset. We then compare our proposed method with existing supervised deep learning and classic reinforcement learning methods. Our simulations show that choosing anappropriate beam steering method depends on the target application and is a tradeoff between data rate and computational complexity. We also investigate tuning the size of our neural network depending on the number of transmit and receive antennas at the access point. Finally, we extend our method to the case of multiple links and introduce a federated learning (FL) approach to efficiently predict their mmWave beams by sharing only the weights of the locally trained neural networks (and not the local data). We investigate both synchronous and asynchronous FL methods. Our numerical simulations show the high potential of our approach, especially when the local available data is scarce or imperfect
Le droit à un procès – par Skype – équitable en matière d'autorité parentale ? La CEDH valide
No full textInternational audienc
Application of resin-TiO2 nanoparticle hybrid coatings on travertine stones to investigate their durability under artificial aging tests
No full textInternational audienc
Accueil et adoption de l'enfant mineur : quelle place pour les convictions religieuses de la famille d'origine ?
No full textInternational audienc
A robust whitness test for the identification of discrete-time linear models: Use of orthonormal transfer functions
No full textInternational audienceA novel whiteness test of residuals is proposed, which makes use of generalized bases of orthonormal transfer functions. It can be viewed as a robustified version of the classical whiteness test in the sense that it reduces the risk of type II errors, by introducing a frequency weighting in the assessment of the flatness in the residual power spectrum density. This frequency weighting, which depends on the basis poles, can be employed for the validation of reduced order models, when the flatness of the residual power spectrum density is evaluated over a limited frequency band
Automatic Assessment of Motor Impairments in Autism Spectrum Disorders: A Systematic Review
No full textInternational audienceAutism spectrum disorder (ASD) is mainly described as a disorder of communication and socialization. However, motor abnormalities are also common in ASD. New technologies may offer quantitative and automatic metrics to measure movement difficulties. We sought to identify computational methods to automatize the assessment of motor impairments in ASD. We systematically searched for the terms ’autism’, ’movement’, ’automatic’, ’computational’ and ’engineering’ in IEEE (Institute of Electrical and Electronics Engineers), Medline and Scopus databases and reviewed the literature from inception to 2018. We included all articles discussing: (1) automatic assessment/new technologies, (2) motor behaviours and (3) children with ASD. We excluded studies that included patient’s or parent’s reported outcomes as online questionnaires that focused on computational models of movement, but also eye tracking, facial emotion or sleep. In total, we found 53 relevant articles that explored static and kinetic equilibrium, like posture, walking, fine motor skills, motor synchrony and movements during social interaction that can be impaired in individuals with autism. Several devices were used to capture relevant motor information such as cameras, 3D cameras, motion capture systems, accelerometers. Interestingly, since 2012, the number of studies increased dramatically as technologies became less invasive, more precise and more affordable. Open-source software has enabled the extraction of relevant data. In a few cases, these technologies have been implemented in serious games, like “Pictogram Room”, to measure the motor status and the progress of children with ASD. Movement computing opens new perspectives for patient assessment in ASD research, enabling precise characterizations in experimental and at-home settings, and a better understanding of the role of sensorimotor disturbances in the development of social cognition and ASD. These methods would likely enable researchers and clinicians to better distinguish ASD from other motors disorders while facilitating an improved monitoring of children’s progress in more ecological settings (i.e. at home or school)
Le doctorat en FranceRegards croisés sur la formation doctorale
No full textA survey by the National Network of Doctoral Colleges (NNDC), in French doctoral schools, of doctoral students enrolled in a doctorate in 2021 and their supervisors.Une enquête du réseau national des collèges doctoraux (RNCD), dans les écoles doctorales françaises, auprès des doctorantes et des doctorants inscrits en doctorat en 2021 et de leurs encadrantes et encadrants
Synthesis and biological studies of "Polycerasoidol" and "trans-δ-Tocotrienolic acid" derivatives as PPARα and/or PPARγ agonists
No full textInternational audience2-Prenylated benzopyrans represent a class of natural and synthetic compounds showing a wide range of significant activities. Polycerasoidol is a natural prenylated benzopyran isolated from the stem bark of Polyalthia cerasoides (Annonaceae) that exhibits dual PPARα/γ agonism and an anti-inflammatory effect by inhibiting mononuclear leukocyte adhesion to the dysfunctional endothelium. Herein, we report the synthesis of three new series of prenylated benzopyrans containing one (series 1), two (series 2, "polycerasoidol" analogs) and three (series 3, "trans-δ-tocotrienolic acid" analogs) isoprenoid units in the hydrocarbon side chain at the 2-position of the chroman-6-ol (6hydroxy-dihydrobenzopyran) scaffold. Isoprenoid moieties were introduced through a Grignard reaction sequence, followed by Johnson-Claisen rearrangement and subsequent Wittig olefination. hPPAR transactivation activity and the structure activity relationships (SAR) of eleven novel synthesized 2-prenylated benzopyrans were explored. PPAR transactivation activity demonstrated that the seven-carbon side chain analogs (series 1) displayed selectivity for hPPARα, while the nine-carbon side chain analogs (polycerasoidol analogs, series 2) did so for hPPARγ. The side chain elongation to 11 or 13 carbons (series 3) resulted in weak dual PPARα/γ activation. Therefore, 2-prenylated benzopyrans of sevenand nine-carbon side chain (polycerasoidol analogs) are good lead compounds for developing useful candidates to prevent cardiovascular diseases associated with metabolic disorders