Browsing by Author "Alkan M."

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    Stress analysis in al based composites depending on joining quality
    (Association for Scientific Research, 2011) Köksal N.S.; Alkan M.
    It is essential that joints in the design of aluminium based materials be safe and at the desired strength. Specific methods are to be used in welding of these materials. Brazing, that assures joining without changing the material properties, is widely used for this purpose. In this method, quality joining can be achieved, provided the parameters are set up accurately. In this study, joining characteristics of aluminium based composite materials widely used in automotive industry are investigated in detail. Solid models of the parts manufactured by brazing are created using Solidworks software. Hydrostatic loading similar to the real working conditions is applied to these models and stress analysis is performed using ANSYS software. In the samples, joining regions are 2 mm and 2,83 mm in length; and stress distributions are investigated in three groups assuming full, 70% and 50% joining. Stresses arising from loading in the model are below the damage inducing level, but the shape and the length of the joining region are observed to be significant in stress development. © Association for Scientific Research.
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    Reliability and validity study of the Turkish version of Hypomania Checklist-32-Revised
    (Turkish Association of Nervous and Mental Health, 2017) Vahip S.; Aydemir Ö.; Akkaya C.; Altinbaş K.; Kora K.; Sücüllüoğlu Dikici D.; Akdeniz F.; Kalayci F.; Oral E.T.; Vahip I.; Alkan M.; Angst J.
    Objective: In this study, we aimed to evaluate the reliability and validity of the Turkish version of Hypomania Checklist-32-Revised. Method: The study was carried out with 80 patients diagnosed with bipolar I disorder, 26 patients diagnosed with bipolar II disorder and 42 patients diagnosed with major depressive disorder attending the out- and in-patient psychiatry departments of three university hospitals and one training hospital and 116 healthy volunteers consisting of university students. Mean duration of illness was 15.1 years for the bipolar disorder group and 9.3 years for the major depressive disorder group. For concurrent validity, the Mood Disorder Questionnaire was used. In the statistical analysis, internal consistency coefficient, item-total score correlation coefficients, exploratory factor analysis, correlation with concurrent scale and ROC curve were calculated. Results: Translation into Turkish and back-translation into English of Hypomania Checklist-32-Revised were performed and thus the semantic harmony of the scale was obtained. In the internal consistency, Cronbach alpha coefficient was 0.914 and item-total score correlations were between 0.235-0.743. Unlike the rest, the coefficient of item #23 was found as 0.110. In factor analysis, six factors were obtained; however, a two-factor solution representing 44.5% of the total variance was accepted whereas the first factor represents overactivity and being expansive, where the second factor represents impulsivity and risky behaviors. Correlation of Hypomania Checklist-32-R with Mood Disorder Questionnaire was r=0.379. In the ROC analysis, the cutoffpoint of the scale was calculated as 14 with a sensitivity of 71.0 and specificity of 69.8. The scale discriminates well between the bipolar group, depressive and control groups. Conclusion: Hypomania Checklist-32-Revised developed for screening hypomania is reliable and valid in Turkish after exclusion of item #23.