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        BELIEF AND FUZZY THEORIES FOR DRIVING BEHAVIOR ASSESSMENT IN CASE OF ACCIDENT SCENARIOS

        Oussama Derbel,René Jr Landry 한국자동차공학회 2018 International journal of automotive technology Vol.19 No.1

        The estimation of the overspeed risk before the accident is among the main goals of this paper. The proposed method uses the Energy Equivalent Speed (EES) to assess the severity of an eventual accident. However, the driver behavior evaluation should take into account the parameters related to the Driver, the Vehicle and the Environment (DVE) system. For this purpose, this paper considers a two-level strategy to predict the global risk of an event using the Dempster-Shafer Theory (DST) and the Fuzzy Theory (FT). This paper presents two methods to develop the Expert Model-based Basic Probability Assignment (EM based BPA), which is the most important task in the DST. The first one is based on the accident statistics and the second method deals with the relationship between the Fuzzy and Belief measurements. The experimental data is collected by one driver using our test vehicle and a Micro-intelligent Black Box (Micro-iBB) to collect the driving data. The sensitivity of the developed models is analysed. Our main evaluation concerns the Usage Based Insurance (UBI) applications based on the driving behavior. So, the obtained masses over the defined referential subsets in the DST are used as a score to compute the driver’s insurance premium.

      • Vision-based Autonomous Disinfection of High-touch Surfaces in Indoor Environments

        Sean Roelofs,Benoit Landry,Myra Kurosu Jalil,Adrian Martin,Saisneha Koppaka,Sindy K.Y. Tang,Marco Pavone 제어로봇시스템학회 2021 제어로봇시스템학회 국제학술대회 논문집 Vol.2021 No.10

        Autonomous systems have played an important role in response to the Covid-19 pandemic. Notably, there have been multiple attempts to leverage Unmanned Aerial Vehicles (UAVs) to disinfect surfaces. Although recent research suggests that surface transmission is less significant than airborne transmission in the spread of Covid-19, surfaces and fomites can play, and have played, critical roles in the transmission of Covid-19 and many other viruses, especially in settings such as child daycares, schools, offices, and hospitals. Employing UAVs for mass spray disinfection offers several potential advantages, including high-throughput application of disinfectant, large scale deployment, and the minimization of health risks to sanitation workers. Despite these potential benefits and preliminary usage of UAVs for disinfection, there has been little research into their design and effectiveness. In this work, we present an autonomous UAV capable of effectively disinfecting indoor surfaces. We identify relevant parameters such as disinfectant type and concentration, and application time and distance required of the UAV to disinfect high-touch surfaces such as door handles. Finally, we develop a robotic system that enables the fully autonomous disinfection of door handles in an unstructured and previously unknown environment. To our knowledge, this is the smallest untethered UAV ever built with both full autonomy and spraying capabilities, allowing it to operate in confined indoor settings, and the first autonomous UAV to specifically target high-touch surfaces on an individual basis with spray disinfectant, resulting in more efficient use of disinfectant.

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        Oxadiazolone derivatives, new promising multi-target inhibitors against <i>M. tuberculosis</i>

        Nguyen, Phuong Chi,Delorme, Vincent,,narouche, Anaï,s,Guy, Alexandre,Landry, Valé,rie,Audebert, Sté,phane,Pophillat, Matthieu,Camoin, Luc,Crauste, Cé,line,Galano, Jean-Ma Elsevier 2018 Bioorganic chemistry Vol.81 No.-

        <P><B>Abstract</B></P> <P>A set of 19 oxadiazolone (<B>OX</B>) derivatives have been investigated for their antimycobacterial activity against two pathogenic slow-growing mycobacteria, <I>Mycobacterium marinum</I> and <I>Mycobacterium bovis</I> BCG, and the avirulent <I>Mycobacterium tuberculosis</I> (<I>M. tb</I>) mc<SUP>2</SUP>6230. The encouraging minimal inhibitory concentrations (MIC) values obtained prompted us to test them against virulent <I>M. tb</I> H37Rv growth either in broth medium or inside macrophages. The <B>OX</B> compounds displayed a diversity of action and were found to act either on extracellular <I>M. tb</I> growth only with moderated MIC<SUB>50</SUB>, or both intracellularly on infected macrophages as well as extracellularly on bacterial growth. Of interest, all <B>OX</B> derivatives exhibited very low toxicity towards host macrophages. Among the six potential <B>OXs</B> identified, <B>HPOX</B>, a selective inhibitor of extracellular <I>M. tb</I> growth, was selected and further used in a competitive labelling/enrichment assay against the activity-based probe Desthiobiotin-FP, in order to identify its putative target(s). This approach, combined with mass spectrometry, identified 18 potential candidates, all being serine or cysteine enzymes involved in <I>M. tb</I> lipid metabolism and/or in cell wall biosynthesis. Among them, Ag85A, CaeA, TesA, KasA and MetA have been reported as essential for <I>in vitro</I> growth of <I>M. tb</I> and/or its survival and persistence inside macrophages. Overall, our findings support the assumption that <B>OX</B> derivatives may represent a novel class of multi-target inhibitors leading to the arrest of <I>M. tb</I> growth through a cumulative inhibition of a large number of Ser- and Cys-containing enzymes involved in various important physiological processes.</P> <P><B>Highlights</B></P> <P> <UL> <LI> The OX analogs represent a novel class of multi-target inhibitors against <I>M. tb.</I> </LI> <LI> Some OX inhibit either extracellular, or both intra- and extracellular <I>M. tb</I> growth. </LI> <LI> These OXs are not toxic towards host macrophages. </LI> <LI> OX probes are attractive chemical tools to identify (Ser/Cys)-enzymes in living mycobacteria. </LI> </UL> </P> <P><B>Graphical abstract</B></P> <P>[DISPLAY OMISSION]</P>

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