190,756 research outputs found
Climatic and basin factors affecting the flood frequency curve: PART II ? A full sensitivity analysis based on the continuous simulation approach combined with a factorial experimental design
No full textInternational audienceThe sensitivity analysis described in Hashemi et al. (2000) is based on one-at-a-time perturbations to the model parameters. This type of analysis cannot highlight the presence of parameter interactions which might indeed affect the characteristics of the flood frequency curve (ffc) even more than the individual parameters. For this reason, the effects of the parameters of the rainfall, rainfall runoff models and of the potential evapotranspiration demand on the ffc are investigated here through an analysis of the results obtained from a factorial experimental design, where all the parameters are allowed to vary simultaneously. This latter, more complex, analysis confirms the results obtained in Hashemi et al. (2000) thus making the conclusions drawn there of wider validity and not related strictly to the reference set selected. However, it is shown that two-factor interactions are present not only between different pairs of parameters of an individual model, but also between pairs of parameters of different models, such as rainfall and rainfall-runoff models, thus demonstrating the complex interaction between climate and basin characteristics affecting the ffc and in particular its curvature. Furthermore, the wider range of climatic regime behaviour produced within the factorial experimental design shows that the probability distribution of soil moisture content at the storm arrival time is no longer sufficient to explain the link between the perturbations to the parameters and their effects on the ffc, as was suggested in Hashemi et al. (2000). Other factors have to be considered, such as the probability distribution of the soil moisture capacity, and the rainfall regime, expressed through the annual maximum rainfalls over different durations
A strain energy criterion based on grain dislodgment at borehole wall in poorly cemented sands
No full textAbstract not availableS. S. Hashemi, N. Melkoumia
A borehole stability study by newly designed laboratory tests on thick-walled hollow cylinders
No full textAbstract not availableS.S. Hashemi, N. Melkoumian, A. Taher
Shear failure analysis of a shallow depth unsupported borehole drilled through poorly cemented granular rock
No full textAbstract not available.S.S. Hashemi, A. Taheri, N. Melkoumia
Investigation of borehole stability in poorly cemented granular formations by discrete element method
No full textAbstract not availableS.S. Hashemi A.A. Momeni, N. Melkoumia
An experimental study on the relationship between localised zones and borehole instability in poorly cemented sands
No full textAvailable online: 20 August 2015Abstract not availableS.S. Hashemi, A. Taheri, N. Melkoumia
The failure behaviour of poorly cemented sands at a borehole wall using laboratory tests
No full textAbstract not availableS.S. Hashemi, N. Melkoumian, A. Taheri, M. Jaks
Author-wise bibliometric analysis based on entropy.
No full textAuthor-wise bibliometric analysis based on entropy.</p
Going Beyond Counting First Authors in Author Co-citation Analysis
No full textThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Alteration of the metabolite interconversion enzyme gene expression in Sperm and Sertoli cell of non-obstructive azoospermia: a microarray data and in-silico analysis
No full text<p><span>Moreover, this research has provided significant findings on the changes in gene expression inside Sertoli cells in relation to genes involved in metabolite interconversion enzymes. The microarray analysis of three human cases with different NOA showed that the expression 1 was decreased in the normal case in Sertoli cell (Figure 2D, Figure 2F) (Supplementary 1).</span></p>
<p><span>The functions of differentially expressed genes (DEGs) were investigated by uploading 260 common DEGs for enrichment analysis using GO and KEGG. Figure 4 illustrates that the top five enriched Gene Ontology (GO) keywords in the BP of differentially expressed genes (DEGs) for sperm up and down gene expression were ribonucleoprotein complex biogenesis, ribosome biogenesis, DNA replication, chromosomal segregation, and mitotic cell cycle phase transition (Figure 4A1) (Supplementary 2 sheet 1). The top five enriched GO terms in the BP of DEG's Sertoli cell up and down gene expression were the regulation of cytokinesis, lipid catabolic process, positive regulation of chromosome separation, mitotic DNA damage checkpoint signaling, and establishment of RNA localization (Figure 4A2) (Supplementary 2 sheet 2). </span></p>
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