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Hediye Aydin,M. Ahmet Söyler 한양대학교 청정에너지연구소 2023 Journal of Ceramic Processing Research Vol.24 No.5
High-speed steels (HSS) have high hardness, toughness, shock resistance, and wear resistance at room and increasedtemperatures due to their high ratio of alloy elements. Even though the low wear resistance compared with cemented carbidesis a significant disadvantage, recent advances in surface technologies have increased surface hardness and wear resistance. Inthe present study, the “cathodic arc vapor deposition” method from among the PVD coating methods was used for coatingthe sample surfaces of the glaze spray nozzles prepared using AISI M2 high-speed steel material prepared with TiN, AlCrN,AlCrTiN, and AlTiN. Scanning electron microscope (SEM) was used to identify that the coatings display a homogeneous andcrack-free distribution. The micro-hardness of AISI M2 high-speed steel-coated ceramic coatings was also investigated. Accordingly, the highest hardness value was obtained for the TiN-coated sample, whereas the lowest hardness value wasobtained for the AlCrTiN-coated sample. The ball-on-disc method was used to compare the wear characteristics of thesamples, considering the distance from the coatings until fracture. When the wear resistance of the coated samples wasexamined, it was observed that the most significant increase was obtained in AlCrN coated sample compared with the originalsample.
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Tendency to Stigmatize Epidemic Diseases Scale: Scale Development and Validity Study
Şen Olgay Sevim,Arslan Özkan Hediye,Zeren Erdem Ceren,Kırık Begüm 한국간호과학회 2024 Asian Nursing Research Vol.18 No.1
Purposes The purpose of this study was to develop a scale to measure stigma during epidemics among adults in nursing care and validate its psychometric properties. Methods The preliminary items of the Tendency to Stigmatize Epidemic Diseases Scale scale were developed through a literature review, the Delphi technique, and content validity analysis. A total of 723 adults living in Turkey responded to the questionnaire from June to December 2021. The collected data were analyzed by exploratory factor analysis and confirmative factor analysis using SPSS and AMOS programs. Results The experts agreed on 51 scale items, and 24 items were removed following exploratory factor analysis. On the 27-item scale, a five-factor structure was found with an eigenvalue >1, explaining 59.2% of the total variance. The overall Cronbach's α value was 0.88. Conclusions This scale is a reliable and valid measurement tool for adults to determine their level of stigma during epidemics in nursing care. This scale helps develop interventions to improve the psychological health of adults in nursing care.
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Is Season a Prognostic Factor in Breast Cancer?
Mutlu, Hasan,Akca, Zeki,Cihan, Yasemin Benderli,Kurnaz, Fatih,Aslan, Tuncay,Erden, Abdulsamet,Ugur, Hediye,Aksahin, Arzu,Buyukcelik, Abdullah Asian Pacific Journal of Cancer Prevention 2013 Asian Pacific journal of cancer prevention Vol.14 No.2
Background: Some studies have indicated an inverse relationship between cancer risk and sunlight exposure. Others have reported that the prognosis of some cancers such as prostate, colon, ovarian and non melanoma skin cancer, were affected by the season in which the cancer was diagnosed. In our study, we evaluated whether season is prognostic in Turkish patients with breast cancer. Materials and Methods: A total of 517 patients from Kayseri Training and Research Hospital were analysed retrospectively. Patients were divided into 4 groups according to season of cancer diagnosis: winter, spring, summer and autumn. The prognostic factors for disease free survival and overall survival were investigated. Results: No significant differences were found among groups regarding prognostic factors overall. Only estrogen receptor status and lymphovascular invasion were independent prognostic factors (p=0.001 and p=0.001 respectively). We found significantly differences for mean disease free survival among groups (p=0.019). Winter group had better mean DFS while summer group had worse DFS. Mean overall survival was similar in the four groups (p=0.637). Conclusions: The season is not an independent predictive factor. However, due to interaction with other factors, we think that the season of cancer diagnosis is important for cancer prognosis.
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