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  1. Ana Sayfa
  2. Yazara Göre Listele

Yazar "Aydin, A." seçeneğine göre listele

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    Öğe
    Calculations of neutron-induced production cross-sections of 180,182,183,184,186W up to 20 MeV
    (Pergamon-Elsevier Science Ltd, 2009) Sarer, B.; Aydin, A.; Gunay, M.; Korkmaz, M. E.; Tel, E.
    Neutron-induced cross-sections for the stable isotopes W-180,W-182,W-183,W-184,W-186 in the energy region up to 20 MeV have been calculated. Calculations were made with the codes CEM03.01 and ALICE/ASH, using the following models: the Dubna version of the intranuclear cascade model for the cascade stage of interaction; the hybrid, the geometry dependent hybrid and the exciton model for the pre-equilibrium component; the Hauser-Feshbach and the Weisskopf-Ewing statistical models for the equilibrium component. Effects of some important model parameters such as level density parameter and pairing correction were investigated. Calculated cross-sections were compared with available experimental data in the literature and with ENDF/B-VI T = 300 K and JENDL-3.3 T = 300 K evaluated data libraries. (C) 2008 Elsevier Ltd. All rights reserved.
  • Küçük Resim Yok
    Öğe
    CRP/albumin ratio in predicting 1-year mortality in elderly patients undergoing hip fracture surgery
    (Verduci Publisher, 2023) Aydin, A.; Kacmaz, O.
    OBJECTIVE: In the literature, rates of up to 37.1% have been reported for 1-year mortality after hip fractures. In this study, we aimed to determine whether the C-reactive protein/albumin ratio (CAR) is an independent risk factor for 1- year mortality after hip fracture and whether CAR, neutrophil/lymphocyte ratio ( NLR), CRP, albumin level, and other parameters have an effect on mortality and morbidity. PATIENTS AND METHODS: Over a 3-year period, 480 patients aged 65 years and older who underwent hemiarthroplasty for hip fracture were analyzed. A univariate logistic regression analysis was performed to identify prognostic factors for 1-year mortality. Significant variables were re- evaluated using binary logistic regression analysis. RESULTS: The number of patients who died within 1 year postoperatively was 95 (27.7%), and the median age was 85 years. In the receiver operating characteristic analysis (ROC) for 1-year mortality after hip fracture, the optimal cut-off value of CAR was found to be 1.03. The area under the curve (AUC) for mortality was 0.843, the sensitivity was 65.3%, and the specificity was 92.7% [95% confidence interval (CI), 0.791-0.895; p < 0.001]. The optimal cut-off value for CRP was 2.85, the AUC was 0.838, the sensitivity was 70%, and the specificity was 89% (95% CI, 0.785- 0.890; p < 0.001). The optimal cutoff value of NLR for postoperative intensive care unit (ICU) admission was determined to be 6.64. CONCLUSIONS: CAR was a predictive factor for 1-year postoperative mortality and postoperative ICU admission, whereas NLR was a predictive factor for postoperative ICU admission.

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