Browsing by Author "Aydin, C"

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    Social and Digital Entrepreneurship in Turkey: Content Analysis of Crowdfunding Platforms with Data Scraping Techniques
    Kihnç, M; Aydin, C; Tarhan, Ç
    The crowdfunding (CF) model, which is presented as a new generation entrepreneurship model in the digitalizing world, provides great benefits in realizing business ideas. Many platforms have been established in Turkey as well as abroad for CF, which has become popular with the increase in user interest over time. The use of the funds collected on the established web platforms by the project creators depends on the success of the project. Since the success of the projects has an important place for the CF ecosystem, the distributions by category, distribution by funding, distribution by attributes, distributions according to locations were revealed by performing a success analysis according to platforms in the study. In this direction, the 1635 CF projects operating in Turkey on Fongogo, Crowdfon, Bulu & scedil;um, Fonbulucu, Ar & imath;kovan & imath;, Ideanest platforms, together with their features and meta fields, were collected using data scraping techniques and analyzed using content analysis method. According to the results of the study, the success rate of project campaigns in the crowdfunding ecosystem in Turkey, which has a value of approximately 21 million TL, is 23.18%. The projects are mostly published in the categories of technology, culture-art and film-video-photo, with the most successful category being the category of film-video-photo with 34.36%. When the projects are evaluated according to their locations, the most successful region is the Marmara region with a success rate of 30.25%. In addition, supporters provide an average of 530 TL in funds for the realization of a project, and approximately 55,000 TL in funds per successful project. The findings show that the number of projects and users on CF platforms in Turkey has increased compared to the past, but the success rate has decreased noticeably. Therefore, recommendations for CF platforms are discussed in the study.
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    Feature selection for Turkish Crowdfunding projects with using filtering and wrapping methods
    Kilinc, M; Aydin, C
    Crowdfunding (CF) platforms host an increasing number of projects, where financial support from backers plays a vital role in project realization. Unfortunately, CF projects have experienced a downward trend in success rates. To address this issue, it is crucial to identify the factors that influence success by analyzing project characteristics. In our study, we collected project data from Turkey's Fongogo CF platform, performed feature selection, and rigorously tested the results. We employed various methods such as Pearson correlation, mutual information statistics, chi-square, Fisher's score from filtering methods, and recursive feature elimination from wrapper methods to understand feature relationships. We proposed a cross-validated recursive feature elimination method for feature selection. The identified success factors were classified using diverse machine learning algorithms, with the Gradient Boosting algorithm achieving the highest result of 84.28%. The results obtained with wrapper methods highlight the potential of utilizing features in decision support processes to enhance CF success.
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    The Role of Adenomyosis in the Pathogenesis of Preeclampsia
    Hasdemir, PS; Farasat, M; Aydin, C; Ozyurt, BC; Guvenal, T; Pekindil, G
    Introduction: Adenomyosis can cause defective deep placentation. Preeclampsia is known to be associated with abnormal placentation. The aim of this study was to compare the presence of adenomyosis on magnetic resonance imaging in patients with and without history of preeclampsia in order to investigate the possible role of adenomyosis in the pathogenesis of preeclampsia. Materials and Methods: This prospective, randomized study consisted of patients with (n = 35) and without (n = 34) history of preeclampsia. Direct (submucosal microcysts, adenomyoma and cystic adenomyoma) and indirect (maximal thickness of junctional zone, ratio of maximal thickness of junctional zone to myometrial thickness, junctional zone differential, focal thickening of junctional zone, globally enlarged uterus and non-uniform junctional zone contours) signs of adenomyosis were assessed by pelvic magnetic resonance imaging. Results: The prevalence of adenomyosis was found to be more common in patients with preeclampsia und fetal growth restriction compared to patients without fetal growth restriction (94.4 vs. 64.7%; p = 0.041), respectively. There was a strong association between maximal thickness of junctional zone (9 vs. 13 mm, p = 0.005), ratio of maximal thickness of junctional zone to myometrial thickness (0.42 vs. 0.66, p = 0.001) and junctional zone differential (3 vs. 5 mm, p = 0.02) and late-onset preeclampsia. Conclusions: Presence of adenomyoma is more common in patients with preeclampsia complicated with fetal growth restriction. Indirect signs of adenomyosis detected on pelvic magnetic resonance imaging might have a role in the pathogenesis of late-onset preeclampsia.
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    Tattoos in dermatology: demographics, motivations, tattooing practices
    Altunay, IK; Gülsunay, IE; Özkur, E; Aydin, C; Manav, V; Ozden, HK; Çalikoglu, EE; Ertekin, SS; Erdogan, HK; Taskin, B; Kuru, S; Memet, B; Gürok, NG; Ermertcan, AT
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    Tattoos: Demographics, Motivations, and Regret in Dermatology Patients
    Altunay, IK; Güngör, IE; Ozkur, E; Aydin, C; Manav, V; Ozden, HK; Ertekin, SS; Calikoglu, EE; Erdogan, HK; Taskin, B; Ficicioglu, S; Memet, B; Gürok, NG; Ermertcan, AT
    Background: Tattoos are very popular in today's world. Objectives: The aim of this study was to determine the demographics, the characteristics of tattoos, motivations for getting tattoos, tattooing practices and tattoo regret. Materials and Method: This multi-centre, cross-sectional study was conducted among. 302 patients attending to the dermatology outpatient clinics and having at least one tattoo. A questionnaire form including all needed data about patients, tattoo characteristics and possible reasons for obtaining tattoos was designed and applied to all participants. Results: Of 302 patients, 140 (46,4%) were females and 162 (53,6%) were men. The mean age was28,3 +/- 8,1 years (min-max, 16-62) for all study group, 53% of participants (n = 160) had at least one tattoo involving letters or number, 80 participants (26%) stated regret for at least one of their tattoos, and 34 of them (42,5%) had their unwanted tattoo removed or camouflaged with a new tattoo. The most common reason for regret was 'not liking the tattoo anymore'. The most common motivations for having tattoos were 'to feel independent', 'to feel better about himself/herself' and 'to look good'. Women had higher scores than men regarding tattoo motivations of 'to be an individual' and 'to have a beauty mark'. Conclusion: Given the rates, tattoo regret is a significant issue and as motivations differ between genders, age groups and other demographic characteristics; tattoos are not just an ink or drawing on the body, but a tool for individuals to express themselves and to construct self-identity. Tattoos have deep symbolic meanings for emotions, and they may be a clue for behavioural patterns of individuals.