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DBEM Crack Path Predictions Against Experimental Findings And FE Results in a Shaft Under Torsion
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ANALISI BEM DELLE SOLLECITAZIONI A CARICO DEL NERVO TRIGEMINO CAUSATE DA IMPIANTI DENTALI MULTIPLI
No full textIn this work an elastic-static analysis is developed in order to assess how the masticatory loads, applied on a system of multiple independent implants in a mandible, are transferred to the trigeminal nerve. The simulation is based on the Boundary Element Method (BEM) and consider a perfect osteo-integration between implant and bone (continuity condition for traction and displacement at the implant-bone interface). The analysis considers the mandible segment containing two adjacent implants at different distances, each one loaded with a vertical load. Both the cortical and spongy bone are modeled as transversally isotropic. A non linear contact analysis is needed in order to properly model the nerve-canal interactions. The results obtained show the pressure on the trigeminal nerve against a varying distance between implants. Such information is useful for a correct surgical planning
Analisi non lineare FEM e BEM di una mandibola umana in presenza del disco articolare
No full textSALERN
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe 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
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