919 research outputs found

    Flow measurements near a Reynolds ridge

    Get PDF
    The Reynolds ridge is a well-known phenomenon first observed in 1854 by Henry David Thoreau. It was then rediscovered by Langton in 1872, but Reynolds was the first to recognize that the surface tension difference was the physical mechanism behind its formation and saw the equality between the case of a spreading film and that of a stagnant film met by oncoming flow. However, it wasn't until McCutchen in 1970 that the prediction of a boundary layer forming beneath the film was introduced as the cause of the surface deformation rise ahead of the film due to the retardation of the flow. The first quantitative theory of the ridge was formed by Harper and Dixon (1974), who stated that the surface tension gradient balances the viscous shear stress generated in the boundary layer. Experimental studies of the ridge so far include Schlieren visualizations by Sellin (1968) as well as by Scott (1982) who measured the surface slope across the ridge and found good comparisons between the theoretical results of Harper and Dixon. Finally, it was Scott who recognized that even at very low levels of surface contamination the Reynolds ridge is found to exist

    Flow Measurements Near a Reynolds Ridge

    Full text link

    Towards Enhancing Traffic Sign Recognition through Sliding Windows

    Get PDF
    Automatic Traffic Sign Detection and Recognition (TSDR) provides drivers with critical information on traffic signs, and it constitutes an enabling condition for autonomous driving. Misclassifying even a single sign may constitute a severe hazard, which negatively impacts the environment, infrastructures, and human lives. Therefore, a reliable TSDR mechanism is essential to attain a safe circulation of road vehicles. Traffic Sign Recognition (TSR) techniques that use Machine Learning (ML) algorithms have been proposed, but no agreement on a preferred ML algorithm nor perfect classification capabilities were always achieved by any existing solutions. Consequently, our study employs ML-based classifiers to build a TSR system that analyzes a sliding window of frames sampled by sensors on a vehicle. Such TSR processes the most recent frame and past frames sampled by sensors through (i) Long Short-Term Memory (LSTM) networks and (ii) Stacking Meta-Learners, which allow for efficiently combining base-learning classification episodes into a unified and improved meta-level classification. Experimental results by using publicly available datasets show that Stacking Meta-Learners dramatically reduce misclassifications of signs and achieved perfect classification on all three considered datasets. This shows the potential of our novel approach based on sliding windows to be used as an efficient solution for TSR

    Meta-learning to improve unsupervised intrusion detection in cyber-physical systems

    Get PDF

    Une tumeur maligne des gaines des nerfs périphériques compliquant la maladie de Von Recklinghausen

    Get PDF
    Les tumeurs malignes des gaines des nerfs périphériques ou MPNST (Malign Peripheral Nerve Sheath Tumors selon les anglo-saxons) sont des tumeurs rares qui constituent la principale complication des neurofibromatoses de type 1 (NF1) à l'âge adulte. Du fait de leur rareté ces tumeurs posent à la fois des problèmes diagnostiques et thérapeutiques. Nous rapportons une nouvelle observation de MPNST survenue chez une patiente suivie pour une NF1 et dont le traitement a consisté en une exérèse large suivi d'une radiothérapie. Le but de ce travail est d'étudier les critères diagnostiques ainsi que la prise en charge thérapeutique de ce type de tumeurs

    An Egyptian green schist palette and an amazonite gemstone from the “Palace of the Copper Axes” at Batrawy, Jordan

    Get PDF
    The exploration of the “Palace of the Copper Axes”, the Early Bronze Age III palace of the easternmost city of Southern Levant during the 3rd millennium BC, was resumed in 2018, during the 14th season of excavation at Khirbet al-Batrawy in north-central Jordan, and completed in 2019. In the entrance hall of the palace, a square space with ceilings supported by four pillars, an Egyptian green schist palette, a cyan gemstone of amazonite and a pierced bead of fluorapatite were found buried under the destruction layer, while a barrel-shaped carnelian bead from Mesopotamia was found in the destruction layer just outside the Eastern Pavilion of the palace. These finds again testify to the inclusion of the palace and the city into a wide international trade network and its special connections with Pharaonic Egypt

    Dynamics of laminar magnetic vortex rings

    Full text link

    Long-term dry immersion: review and prospects

    Get PDF
    Dry immersion, which is a ground-based model of prolonged conditions of microgravity, is widely used in Russia but is less well known elsewhere. Dry immersion involves immersing the subject in thermoneutral water covered with an elastic waterproof fabric. As a result, the immersed subject, who is freely suspended in the water mass, remains dry. For a relatively short duration, the model can faithfully reproduce most physiological effects of actual microgravity, including centralization of body fluids, support unloading, and hypokinesia. Unlike bed rest, dry immersion provides a unique opportunity to study the physiological effects of the lack of a supporting structure for the body (a phenomenon we call \u27supportlessness\u27). In this review, we attempt to provide a detailed description of dry immersion. The main sections of the paper discuss the changes induced by long-term dry immersion in the neuromuscular and sensorimotor systems, fluid-electrolyte regulation, the cardiovascular system, metabolism, blood and immunity, respiration, and thermoregulation. The long-term effects of dry immersion are compared with those of bed rest and actual space flight. The actual and potential uses of dry immersion are discussed in the context of fundamental studies and applications for medical support during space flight and terrestrial health care

    Malignancy risk analysis in patients with inadequate fine needle aspiration cytology (FNAC) of the thyroid

    Get PDF
    Background Thyroid fine needle aspiration cytology (FNAC) is the standard diagnostic modality for thyroid nodules. However, it has limitations among which is the incidence of non-diagnostic results (Thy1). Management of cases with repeatedly non-diagnostic FNAC ranges from simple observation to surgical intervention. We aim to evaluate the incidence of malignancy in non-diagnostic FNAC, and the success rate of repeated FNAC. We also aim to evaluate risk factors for malignancy in patients with non-diagnostic FNAC. Materials and Methods Retrospective analyses of consecutive cases with thyroid non diagnostic FNAC results were included. Results Out of total 1657 thyroid FNAC done during the study period, there were 264 (15.9%) non-diagnostic FNAC on the first attempt. On repeating those, the rate of a non-diagnostic result on second FNAC was 61.8% and on third FNAC was 47.2%. The overall malignancy rate in Thy1 FNAC was 4.5% (42% papillary, 42% follicular and 8% anaplastic), and the yield of malignancy decreased considerably with successive non-diagnostic FNAC. Ultrasound guidance by an experienced head neck radiologist produced the lowest non-diagnostic rate (38%) on repetition compared to US guidance by a generalist radiologist (65%) and by non US guidance (90%). Conclusions There is a low risk of malignancy in patients with a non-diagnostic FNAC result, commensurate to the risk of any nodule. The yield of malignancy decreased considerably with successive non-diagnostic FNAC
    corecore