Yazar "Kirtiloglu, Osman S." seçeneğine göre listele

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    Efficacy of Collagen Membrane Seeded With Autologous Gingival Fibroblasts in Gingival Recession Treatment: A Randomized, Controlled Pilot Study
    (WILEY, 2013) Koseoglu, Serhat; Duran, Ismet; Saglam, Mehmet; Bozkurt, S. Buket; Kirtiloglu, Osman S.; Hakki, Sema S.
    Background: Gingival recession (GR) is one of the most common esthetic concerns associated with periodontal tissues. Recently, tissue engineering technology has been developed and applied in periodontology for the treatment of GR. The aim of this study is to compare the clinical efficacy of collagen membrane with or without autologous gingival fibroblasts under a coronally advanced flap for root coverage. Methods: In this split-mouth, controlled clinical study, 22 sites are selected from 11 patients with Miller Class I recessions affecting canines or premolars in the maxillary arch. One tooth in each patient was randomized to receive either a collagen membrane (CM) (control group) or a collagen membrane seeded with autologous gingival fibroblasts (CM+GF) (test group) under a coronally advanced flap. Thickness of the gingiva, GR, and percentage of root coverage (PRC) were recorded by a calibrated examiner at baseline and 3, 6, and 12 months postoperatively. Furthermore, GR and PRC were evaluated using photogrammetric analysis at baseline and 3, 6, and 12 months. Results: Both treatments resulted in a significant gain in root coverage compared with baseline. A statistically significant increase was detected in PRC in the test group compared with the control group. No significant difference was noted between the test and control sites regarding the thickness of the gingiva. Conclusions: The results indicated that CM+GF prepared by tissue engineering technology can be considered an alternative method for the treatment of Miller Class I recession defects.
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    A PRACTICAL APPROACH TO CREATE ISARITHMIC MAP LAYERS THAT CAN BE USED WITH WEB MAPPING SERVICES
    (BULGARIAN CARTOGRAPHIC ASSOC, 2016) Kirtiloglu, Osman S.; Bildirici, I. Oztug
    This study summarizes a practical approach to create an isarithmic map layer that can be used with online web mapping services such as Google Maps, Bing Maps, MapQuest, Open Street Map and so on. Isarithmic maps are types of thematic maps that represent a continuous field using isolines (lines of equal value) and isopleths (regions of similar value). Isarithmic maps are created by interpolating a set of isolines between sample points of known values. Also there are some basic solutions to create custom thematic maps with web mapping services - like choropleth maps - there is no clear solution to create isarithmic map layers and visualize them on an online map. To find a solution to this problem, we focused on JSON data interchange format for data layer and Multi-quadric Radial Basis Function Interpolation method for interpolating set of isolines. An alternative to XML, JavaScript Object Notation or JSON is a popular data-interchange that is now commonly used by web-mapping tools and web-based APIs. It is easy for humans to read and write. It is easy for machines to parse and generate. It is based on a subset of the JavaScript Programming Language. JSON is a text format that is completely language independent but uses conventions that are familiar to programmers of the C-family of languages, including C, C++, C#, Java, JavaScript, Perl, Python, and many others. These properties make JSON an ideal data-interchange language. There are different types of formalized JSON syntax -such as GeoJSON for storing geodata such as points as longitude/latitude coordinates and shapes and other spatial features and TopoJSON that improves upon GeoJSON by processing GIS data with geospatial topology - for storing different types of optimized data. The main goal of this study is to develop a program with C programming language which starts with segmenting the area of interest (study area border with closed polyline) into cells that's number is determined by the user by taking into account the point in polygon test. Then interpolating sample points and assign interpolated values to each cell (centroid) by using multi-quadric interpolation method. As final step, the program writes all parameters according to GeoJSON format. The output file then can be used as a data layer for many web mapping services.