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<title>Volume 16, Issue 2 (2019) | American Journal of Applied Sciences</title>
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    <title><![CDATA[Fuel Crisis vis-à-vis Green Fuel]]></title>
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        <![CDATA[<p>American Journal of Applied Sciences, Published online: 4 March 2019; <a href="https://thescipub.com/ajas/ajassp.2019.32.32">doi:10.3844/ajassp.2019.32.32</a></p>]]></content:encoded>
    <dc:title><![CDATA[Fuel Crisis vis-à-vis Green Fuel]]></dc:title><dc:creator>Susmita  Kamila</dc:creator><dc:identifier>doi:10.3844/ajassp.2019.32.32</dc:identifier>
    <dc:source>American Journal of Applied Sciences, Published online: 2019-03-04; | doi:10.3844/ajassp.2019.32.32</dc:source>
    <dc:date>2019-03-04</dc:date>
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    <title><![CDATA[Service Delivery Innovation in Health Care for Patient Satisfaction at Primary and Secondary Level]]></title>
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        <![CDATA[<p>American Journal of Applied Sciences, Published online: 7 March 2019; <a href="https://thescipub.com/ajas/ajassp.2019.33.42">doi:10.3844/ajassp.2019.33.42</a></p>The purpose of this research is to identify and address the service delivery issues faced by patients in hospitals including emergency departments. It illustrates the available solutions and determine...]]></content:encoded>
    <dc:title><![CDATA[Service Delivery Innovation in Health Care for Patient Satisfaction at Primary and Secondary Level]]></dc:title><dc:creator>Harpreet Kaur Grang</dc:creator><dc:creator>Moshiur  Bhuiyan</dc:creator><dc:creator>P.W.C.  Prasad</dc:creator><dc:creator>Farzana  Haque</dc:creator><dc:creator>A.  Elchouemi</dc:creator><dc:identifier>doi:10.3844/ajassp.2019.33.42</dc:identifier>
    <dc:source>American Journal of Applied Sciences, Published online: 2019-03-07; | doi:10.3844/ajassp.2019.33.42</dc:source>
    <dc:date>2019-03-07</dc:date>
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    <title><![CDATA[Estimation of Soils Electrical Resistivity using Artificial Neural Network Approach]]></title>
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        <![CDATA[<p>American Journal of Applied Sciences, Published online: 13 March 2019; <a href="https://thescipub.com/ajas/ajassp.2019.43.58">doi:10.3844/ajassp.2019.43.58</a></p>The knowledge of the ground electrical resistivity is essential to ensure the protection of electrical and telecommunications networks. However, the monitoring of its values is an expensive task which...]]></content:encoded>
    <dc:title><![CDATA[Estimation of Soils Electrical Resistivity using Artificial Neural Network Approach]]></dc:title><dc:creator>Kpomonè Komla Apaloo-Bara</dc:creator><dc:creator>Adekunlé Akim Salami</dc:creator><dc:creator>Mawugno Koffi Kodjo</dc:creator><dc:creator>Agbassou  Guenoukpati</dc:creator><dc:creator>Sangué Oraléou Djandja</dc:creator><dc:creator>Koffi-Sa  Bedja</dc:creator><dc:identifier>doi:10.3844/ajassp.2019.43.58</dc:identifier>
    <dc:source>American Journal of Applied Sciences, Published online: 2019-03-13; | doi:10.3844/ajassp.2019.43.58</dc:source>
    <dc:date>2019-03-13</dc:date>
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