İstanbul Medipol Üniversitesi Kurumsal Akademik Arşivi
DSpace@Medipol, İstanbul Medipol Üniversitesi tarafından doğrudan ve dolaylı olarak yayınlanan; kitap, makale, tez, bildiri, rapor, araştırma verisi gibi tüm akademik kaynakları uluslararası standartlarda dijital ortamda depolar, Üniversitenin akademik performansını izlemeye aracılık eder, kaynakları uzun süreli saklar ve telif haklarına uygun olarak Açık Erişime sunar.
Güncel Gönderiler
Content analysis of the top 25 most cited articles of the journal of craniofacial surgery with chatgpt-4o
(2025) Durna, Yusuf Muhammed; Tekin, Mustafa Said; Duymaz, Yaşar Kemal; Tekin, Ahmet Mahmut; Bahşi, İlhan
Objective:Since 1990, the Journal of Craniofacial Surgery has been an important resource for clinicians and basic scientists. The journal addresses clinical practice, surgical innovations, and educational issues. This study aims to evaluate the contribution of these articles to clinical practice innovations and surgical procedures by analyzing the content of the 25 most cited articles published in the journal. It also aims to demonstrate the potential of artificial intelligence tools in academic content analysis.Methods:All articles published in the Journal of Craniofacial Surgery on June 13, 2024, were searched using the Web of Science Database, and the 25 most cited articles were identified. The full texts of these articles were saved in PDF format and metadata were saved as plain text files. Content analysis of these 25 articles was performed using ChatGPT-4o.Results:As a result of the analysis, some articles stood out in terms of clinical importance. It also appeared that ChatGPT could be used to compare multiple articles.Conclusion:In this study, the authors analyzed the content of the 25 most cited articles published in the Journal of Craniofacial Surgery using ChatGPT-4o. These articles were evaluated according to the criteria of innovations in clinical practice and compliance with surgical procedures. This study presents interesting findings in terms of the use of artificial intelligence tools in academic content analysis. The authors thought that this study could be a source of inspiration for future studies.
Synthesis of green anode material for lithium-ion battery from orthodontic waste by fuzzy logic
(2025) Ashraf, Humza; Karahan, Billur Deniz; Şen, Zekai
For the fabrication of green batteries, instead of synthesizing the electrode materials from high-purity metal powders via primary production methods, it is of great importance to design and produce an electrode material by recovering valuable elements from existing wastes. In this article, for the first time in open literature, an electrode active material was fabricated from biomedical waste by using a combination of leaching and hydrothermal methods. Once 100% leaching efficiency was achieved, an optimization was realized in the hydrothermal parameters (filling ratios, time, and temperatures) to fabricate spherically shaped metal oxide powders with 150 nm particle size. Innovatively, fuzzy logic modeling was used for refinement of parameters. Subsequently, three verification experiments were realized at optimum conditions, defined by fuzzy logic. The repeatability as well as the accuracy of the model was confirmed. In the meantime, analysis of variance (ANOVA) technique was applied for identification of the most effective parameter for the fabrication of powders in hydrothermal conditions. A detailed mechanistic analysis about the formation of particles was also realized. Finally, the possible use of this metal oxide powder as an anode material was evaluated galvanostatically and potentiostatically. The electrode delivered a higher capacity than graphite and achieved 100-cycle tests with success. The presented approach was anticipated to constitute an example for the future, as it brought an effective perspective to material scientists about the valorization of biomedical waste in high value-added applications such as energy storage devices.
Alterations in muscle strength among patients with GI cancers receiving oral nutritional support as soon as malnutrition was detected: onmus study
(2024) Özveren, Ahmet; Hopancı Bıçaklı, Derya; Gültekin, Gamze; Çil, Timuçin; Bilici, Ahmet; Sabır, Songül; Karabulut, Bülent
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The associations between EFL learners’ L2 class belongingness, emotion regulation strategies, and perceived L2 proficiency in an online learning context
(2025) Yüksel, Hatice Gülru; Solhi, Mehdi; Özcan, Emrah; Giritlioğlu, Necla Burçin
Although the sense of belongingness plays a major influence in fostering intrinsic motivation and psychological well-being, scant research attention has been given to English as a foreign language (EFL) learners’ belongingness in relation to peers and teachers and its outcomes in L2 learning contexts. Additionally, despite the importance of emotion regulation in L2 education, little is known about its role in mediating the impact of L2 belongingness on self-assessment of L2 proficiency in online L2 learning environments. Therefore, the present study used survey data to examine the associations between learners’ sense of class belongingness, their preferred emotional regulation strategies (reappraisal vs. suppression) and self-perceived English proficiency, in a sample of 191 Turkish EFL university students. Path analysis results indicated significant direct paths between social belongingness with peers and academic belongingness with teachers, respectively, and the emotional regulation strategy of reappraisal. Further analysis indicated a significant indirect association between social belongingness with peers and perceived L2 proficiency through the measure of reappraisal emotional regulation. There was also a significant indirect relationship via reappraisal between academic belongingness with teachers and perceived L2 proficiency. The results are discussed in connection with self-determination theory and social identity theory, and implications are drawn for teaching.
Assessment of primary health-care providers’ knowledge of alzheimer’s disease in Turkey
(2024) Ayhan, Yunus Emre; Özmen, Muhammet; Öztürk, Nur; Aksoy, Nilay
Purpose: Alzheimer’s disease (AD) is the primary cause of dementia in elderly people and needs extensive professional care. The aim of our study was to assess the level of knowledge among primary health-care providers, primarily Family Physicians (FPs) and community pharmacists (CPs), about AD and its treatment. Design/methodology/approach: A cross-sectional study using Google Forms sent by email or message to FPs and CPs in Istanbul in June–July 2023. Turkish modified the Alzheimer’s Disease Knowledge Scale (ADKS) and Alzheimer’s Medicines Knowledge Level Questionnaire (AMKLQ) were used in this study. Findings: A total of 63 FPs with a mean age of 35.3 ± 7.8 and 138 CPs with a mean age of 38.6 ± 12.6 enrolled in the study. There was no statistically significant difference between FPs and CPs in terms of total ADKS score (19.82 ± 2.30 vs 19.23 ± 3.08, p = 0.136), but there was a significant difference in terms of total AMKLQ score (4.31 ± 1.40 vs 3.81 ± 1.49, p = 0.020). Health-care providers with Alzheimer’s training had a higher total AMKLQ score (OR =1.08 CI 95% [1.03–1.14], p = 0.012). Originality/value: FPs’ knowledge of AD is on par with that of CPs. Nevertheless, it has been observed that FPs have more proficiency in delivering accurate responses to the AMKLQ and ADKS inquiries, which encompass crucial details regarding the treatment of AD. The sole determinant of the highest mean AMKLQ score was found to be professional education. Collectively, these arguments emphasize the need for primary health-care practitioners to obtain comprehensive and ongoing education regarding AD and its treatment.
