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Online Classification of High Gamma Dose Rate Incidents
No full textInternational audienceIn this paper, we propose a new method for choosing the most suitable time-series classification method that can be applied to online gamma dose rate incidents. We referred to the historical incidents measured in the German Radiation Early Warning Network and clustered them into several classes before testing existing classification methods. This raises the research problem of the online classification of time-series data with varying scales and lengths. Referring to the state-of-the-art methods, we found that no specific classification method can fit our data all the time. This motivated us to introduce our own approach
La recherche collaborative publique/privée : un levier de performance pour les PME françaises ?
No full textInternational audienceEn France, les politiques d'innovation encouragent la recherche collaborative (RC) au sein d'un projet de recherche et développement (R&D) et plus précisément la collaboration entre des organismes publics de recherche (OPR) et des petites et moyennes entreprises (PME) pour stimuler l'activité d'innovation et la R&D en exploitant les complémentarités entre le monde de la recherche et le monde de l'entreprise. L'objectif de notre communication est d'analyser l'influence de la RC publique/privée sur la performance globale des PME autour d'un projet de R&D collaboratif financé par une politique publique régionale. En se basant sur une méthodologie qualitative par étude de cas, nos analyses permettent d'identifier les contributions de la RC publique/privée sur les différentes dimensions de la performance des PME
In-depth genomic analysis of Bacillus thuringiensis serovar kurstaki strains: Genome dynamics in play (WP2-3)
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: [Table ronde sur la présentation de l’aphasie - Conférencière invitée]
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Strengthening Public Institutions and Social Inclusion of Vulnerable Groups in A Developing Country - Innovation in Organizations and Artificial Intelligence Implications
No full textInternational audienceBackground: In the context of a developing nation, children's participation in communal life is almost non-existent. The goal of the study is to contribute to national policies for local development that should prioritize the safety and well-being of the most vulnerable populations, particularly children under the age of 18. Innovating, including children in decision-making and maintaining local services in three pilot municipalities in order to prevent and combat all forms of exploitation to which they are exposed. How can Youth engagement in social and political community life be improved through better understanding of their needs and interests, and what are the artificial intelligence implications?Method: The methodology was used and designed to re-validate an existing program using pre-defined components of an agreement between the Italian and Lebanese governments. A needs study on the socio-demographic profile of youth and a situational analysis was conducted answering three objectives in the program of the Child Friendly City initiative.Results: Assuring the long-term viability and social inclusion of a significant socio-demographic group was successfully implemented: a free call center, software applications, a library, a digital network center, and the involvement of children on the municipal board of directors were established. The findings need to be adapted to various locations using artificial intelligence (AI) solutions and strategies for social awareness and behavior analysis.Conclusion: The importance of this study was underscored during the Covid-19 sanitary crisis, when some of these technologies enabled young people in impacted areas to integrate and become aware of the pandemic's risk. The case was based on theories such as Gender Inequalities and Children's Inclusion, Municipal Governance & Reform, Organizational Innovation (Public Sector), and Social Inclusion, and it demonstrates the value of innovating in the public sector and protecting vulnerable populations through the use of AI
Discovery of a genetic module essential for assigning left-right asymmetry in humans and ancestral vertebrates
No full textErratum in Publisher Correction: Discovery of a genetic module essential for assigning left-right asymmetry in humans and ancestral vertebrates. Szenker-Ravi E, Ott T, Khatoo M, Moreau de Bellaing A, Goh WX, Chong YL, Beckers A, Kannesan D, Louvel G, Anujan P, Ravi V, Bonnard C, Moutton S, Schoen P, Fradin M, Colin E, Megarbane A, Daou L, Chehab G, Di Filippo S, Rooryck C, Deleuze JF, Boland A, Arribard N, Eker R, Tohari S, Ng AY, Rio M, Lim CT, Eisenhaber B, Eisenhaber F, Venkatesh B, Amiel J, Crollius HR, Gordon CT, Gossler A, Roy S, Attie-Bitach T, Blum M, Bouvagnet P, Reversade B.Nat Genet. 2022 Jun;54(6):906. doi: 10.1038/s41588-022-01053-8.PMID: 35304595 No abstract available.International audienceThe vertebrate left-right axis is specified during embryogenesis by a transient organ: the left-right organizer (LRO). Species including fish, amphibians, rodents and humans deploy motile cilia in the LRO to break bilateral symmetry, while reptiles, birds, even-toed mammals and cetaceans are believed to have LROs without motile cilia. We searched for genes whose loss during vertebrate evolution follows this pattern and identified five genes encoding extracellular proteins, including a putative protease with hitherto unknown functions that we named ciliated left-right organizer metallopeptide (CIROP). Here, we show that CIROP is specifically expressed in ciliated LROs. In zebrafish and Xenopus, CIROP is required solely on the left side, downstream of the leftward flow, but upstream of DAND5, the first asymmetrically expressed gene. We further ascertained 21 human patients with loss-of-function CIROP mutations presenting with recessive situs anomalies. Our findings posit the existence of an ancestral genetic module that has twice disappeared during vertebrate evolution but remains essential for distinguishing left from right in humans
Disinfection Procedures and Their Effect on the Microorganism Colonization of Dental Impression Materials: A Systematic Review and Meta-Analysis of In Vitro Studies
No full textDental impressions are contaminated with potentially pathogenic microorganisms when they come into contact with patient blood, saliva, and plaque. Numerous disinfectants are used; however, no sole disinfectant can be designated as universal for all the impression materials. Thus, the aim of this study is to systemically review the literature to evaluate the effect of the existing disinfection procedures on the bacterial colonization of dental impression materials. This systematic review and meta-analysis was conducted according to the PRISMA statement. PubMed (MEDLINE), Web of Science, Scopus, EMBASE, and SciELO databases were screened up to April 2021. Eligibility criteria included in vitro studies reporting the antibacterial activity of disinfectant solutions in dental impression materials. The meta-analysis was performed using Review Manager (version 5.3.5). A global comparison was performed with the standardized mean difference based on random-effect models at a significance level of α = 0.05. A total of seven studies were included in the meta-analysis. The included studies described the effect of disinfection processes with chlorhexidine gluconate, alcohol, sodium hypochlorite, glutaraldehyde, and hydrogen peroxide in alginate, polyvinyl siloxane, and polyether impression materials. The meta-analyses showed that the use of chlorhexidine, alcohol, glutaraldehyde, and sodium hypochlorite reduced the colony-forming units by a milliliter (CFU/mL) in alginate (p < 0.001). On the other hand, glutaraldehyde, sodium hypochlorite, and alcohol reduced the CFU/mL in polyvinyl siloxane (p < 0.001). Finally, alcohol and glutaraldehyde reduced the CFU/mL in polyether material (p < 0.001). High heterogenicity was observed for the alginate and polyvinyl siloxane materials (I2 = 74%; I2 = 90%). Based on these in vitro studies, the disinfection of impression materials with several disinfection agents reduces the CFU/mL count
Easy Living (M. Leisen, 1937) ou l’anti-Capra : l’idéal démocratique à l’épreuve
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Pilot Contamination Mitigation in Massive MIMO Cloud Radio Access Networks
No full textInternational audienceMassive multiple-input multiple-output (MIMO) technology is expected to achieve significant gains in both signal-to-noise-plus-interference ratio (SINR) and throughput for 5G cellular wireless networks. Efficient and highly accurate channel state information (CSI) acquisition at the base stations (BS) is essential to achieve the potential benefits of massive MIMO systems. However, the inadequate number of orthogonal pilot sequences used for CSI estimation leads to erroneous channel estimation as it causes interference between pilot sequences. This phenomenon is coined pilot contamination and severely limits the system performance. Therefore, we address in this paper the pilot contamination problem in massive MIMO Cloud-Radio Access Networks systems. Leveraging on a real telecom operator data delivered by Call Detail Records (CDR), our objective is to maximize the average uplink achievable rate by reducing the effect of pilot contamination in massive MIMO Cloud-Radio Access Networks (C-RAN). As such a problem is a non-linear integer problem that has no solution in polynomial time, we develop a two-stage solution to solve it. First, a coalition game is proposed where Remote Radio Heads (RRHs) gather into clusters with random user-pilot allocation. Then, two greedy heuristics are applied to match each user in the cluster with a given pilot. The goal is to further improve the average uplink rate achieved in the first stage. Simulation results show that our heuristic solutions for pilot contamination mitigation outperform the traditional pilot allocation solution and a state-of-the-art pilot allocation scheme based on large-scale fading in terms of average uplink achievable rate and SINR
A posteriori error estimates for the time dependent convection-diffusion-reaction equation coupled with the Darcy system
No full textInternational audienceIn this article, we consider the time dependent convection-diffusion-reaction equation coupled with the Darcy equation. We propose a numerical scheme based on finite element methods for the discretization in space and the implicit Euler method for the discretization in time. We establish optimal a posteriori error estimates with two types of computable error indicators, the first one linked to the time discretization and the second one to the space discretization. Finally, numerical investigations are performed and presented