219 research outputs found

    A SIMPLE WAY TO MEASURE THE DYNAMIC VISCOSITY OF A FLUID

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    In this paper, we measured the viscosity of different fluids, including edible oils and soaps, at a constant temperature, using two experimental methods. Namely, the falling ball and the oscillation of the mass-spring system inside a fluid. Three different masses were used to evaluate the viscosity obtained by the falling ball method. The results were very similar. More precision of the viscosity value is done using a calibration curve. The results are compared with those measured by the mass-spring system and they show good agreement. This simple way of viscosity measurement using mechanical physics concepts can be used for educational purposes such as the practical work of a bachelor

    Predictive model of biliocystic communication in liver hydatid cysts using classification and regression tree analysis

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    <p>Abstract</p> <p>Background</p> <p>Incidence of liver hydatid cyst (LHC) rupture ranged 15%-40% of all cases and most of them concern the bile duct tree. Patients with biliocystic communication (BCC) had specific clinic and therapeutic aspect. The purpose of this study was to determine witch patients with LHC may develop BCC using classification and regression tree (CART) analysis</p> <p>Methods</p> <p>A retrospective study of 672 patients with liver hydatid cyst treated at the surgery department "A" at Ibn Sina University Hospital, Rabat Morocco. Four-teen risk factors for BCC occurrence were entered into CART analysis to build an algorithm that can predict at the best way the occurrence of BCC.</p> <p>Results</p> <p><b>I</b>ncidence of BCC was 24.5%. Subgroups with high risk were patients with jaundice and thick pericyst risk at 73.2% and patients with thick pericyst, with no jaundice 36.5 years and younger with no past history of LHC risk at 40.5%. Our developed CART model has sensitivity at 39.6%, specificity at 93.3%, positive predictive value at 65.6%, a negative predictive value at 82.6% and accuracy of good classification at 80.1%. Discriminating ability of the model was good 82%.</p> <p>Conclusion</p> <p>we developed a simple classification tool to identify LHC patients with high risk BCC during a routine clinic visit (only on clinical history and examination followed by an ultrasonography). Predictive factors were based on pericyst aspect, jaundice, age, past history of liver hydatidosis and morphological Gharbi cyst aspect. We think that this classification can be useful with efficacy to direct patients at appropriated medical struct's.</p

    Taxonomic diversity of benthic macroinvertebrates along the Oum Er Rbia River (Morocco): implications for water quality bio-monitoring using indicator species

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    The macroinvertebrates of the Oum Er Rbia River were studied from samples collected seasonally from September 2015 to September 2016 at 10 sampling sites. The macroinvertebrates found during the sampling period were distributed into twelve orders. The most abundant order was diptera, having 9618 individuals, followed by the order Ephemeroptera with 2985 individuals. Coleoptera, odonates and crustaceans represent only a small fraction of the total fauna. Hydropsyche, Chironomidae sp. and Simuliidae are numerically more inventoried. The composition and distribution of the species were directly or indirectly affected by the physicochemical variables and the quality of the habitat. Correspondence analysis results showed that habitat quality and quality of water represented species distribution patterns and species can be used as indicators to assess the quality of the Oum Er Rbia River system. Habitat management along the Oum Er Rbia river should be aimed at preserving native species, especially during the summer, when the biotope requirements are optimal. The results obtained in this study showed an alarming situation of the water quality of the Oum Er Rbia River and particularly in downstream segment. To solve this problem, we recommend the development of the wastewater discharge of Khenifra and Kasba Tadla and the purification of wastewater before it is discharged into the river

    Assessing the impact of vegetation cover dynamics on water erosion using PAP/RAC method and remote sensing in the Kharouba watershed (Central Plateau, Morocco)

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    Le prĂ©sent travail a pour objectif d’évaluer l’impact de la dynamique du couvert vĂ©gĂ©tal forestier sur l’érosion hydrique au niveau du bassin versant de Kharouba dans le Plateau central marocain. La mĂ©thodologie adoptĂ©e repose sur l’analyse diachronique du couvert vĂ©gĂ©tal entre 1986 et 2008 en se basant sur le traitement des photographies aĂ©riennes datĂ©es de 1986 et une image SPOT de 2,5 m de rĂ©solution datĂ©e de 2008. Les cartes du couvert vĂ©gĂ©tal obtenues ont Ă©tĂ© utilisĂ©es pour l’élaboration des cartes des Ă©tats Ă©rosifs de 1986 et 2008, en se basant sur la mĂ©thodologie proposĂ©e par PAP/CAR. Les principaux rĂ©sultats de cette Ă©tude montrent qu’il y a une Ă©volution rĂ©gressive du couvert vĂ©gĂ©tal. Cette rĂ©gression a contribuĂ© Ă  l’augmentation du risque de l’érosion hydrique Ă  l’échelle du bassin versant. L’étendue des zones vulnĂ©rables Ă  l’érosion hydrique est passĂ©e de 39 % de la surface du bassin versant en 1986 Ă  45% en 2008. Mots clĂ©s: Couvert vĂ©gĂ©tal, Erosion hydrique, Bassin versant, mĂ©thodologie PAP/CAR, Plateau Central, MarocThis work aims to assess the impact of the vegetation cover on water erosion in Kharouba watershed in Morocco Central Plateau. The methodology is based on diachronic analysis of land cover between 1986 and 2008, using 1986 aerial photographs and a 2.5 m resolution SPOT satellite image from 2008. The land cover maps obtained were used to develop erosion status maps for 1986 and 2008, using PAP/RAC methodology. The results achieved highlight the regressive evolution of vegetation cover between 1986 and 2008. This decline contributed to the increase of water erosion risk in Kharouba watershed, which causes the expansion of vulnerable areas to water erosion from 39% of the basin surface in 1986 to 45% in 2008. &nbsp;Keywords: Vegetation cover, Water Erosion, Watershed, PAP/RAC, Central Plateau, Morocc
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