Araştırma Çıktıları | PubMedResearch Outputs | PubMedhttps://hdl.handle.net/20.500.12508/12812024-03-29T05:19:39Z2024-03-29T05:19:39ZOxidative Stress and Biochemical Alterations in Patients with Head and Multiple Organ TraumasAkyuva, YenerNur, GökhanDeveci, Hacı AhmetGüler, Songül Kocabaşhttps://hdl.handle.net/20.500.12508/30442024-01-19T07:51:07Z2023-01-01T00:00:00ZOxidative Stress and Biochemical Alterations in Patients with Head and Multiple Organ Traumas
Akyuva, Yener; Nur, Gökhan; Deveci, Hacı Ahmet; Güler, Songül Kocabaş
AIM: To evaluate paraoxonase (PON), total antioxidant status (TAS), total oxidant status (TOS), high-density lipoproteins (HDL), CRP, AST, ALT, GGT, ALP levels in patients with head and multiple organ traumas.MATERIAL and METHODS: The study included 29 male patients undergoing treatment for head and multiple organ traumas. Blood sample analysis was performed on the first, third, and seventh days after trauma.RESULTS: The mean age, duration of hospitalization in the intensive care unit, and intubation period of the study sample was 45 years (range: 9 to 81 years), 4.29 days, and 2.94 days, respectively. One patient died, and 13 underwent surgical intervention. Comparison of PON, TAS, TOS, and CRP levels showed statistically significant differences between the first day and the third and seventh days, although no such differences were seen in HDL levels. A moderately positive correlation was observed between CRP/ AST, CRP/ALT and CRP/GGT, while a moderately negative correlation was seen between CRP/ALP.CONCLUSION: The findings of this study suggest that some oxidative parameters may play a significant role in the prognosis and follow-up of intensive care patients. Moreover, biochemical markers can provide important information about patient response to trauma.
2023-01-01T00:00:00ZA New Shapley-Based Feature Selection Method in a Clinical Decision Support System for the Identification of Lung DiseasesKababulut, Fevzi YasinGürkan Kuntalp, DamlaDüzyel, OkanÖzcan, NerminKuntalp, Mehmethttps://hdl.handle.net/20.500.12508/30342024-01-18T07:45:36Z2023-01-01T00:00:00ZA New Shapley-Based Feature Selection Method in a Clinical Decision Support System for the Identification of Lung Diseases
Kababulut, Fevzi Yasin; Gürkan Kuntalp, Damla; Düzyel, Okan; Özcan, Nermin; Kuntalp, Mehmet
The aim of this study is to propose a new feature selection method based on the class-based contribution of Shapley values. For this purpose, a clinical decision support system was developed to assist doctors in their diagnosis of lung diseases from lung sounds. The developed systems, which are based on the Decision Tree Algorithm (DTA), create a classification for five different cases: healthy and disease (URTI, COPD, Pneumonia, and Bronchiolitis) states. The most important reason for using a Decision Tree Classifier instead of other high-performance classifiers such as CNN and RNN is that the class contributions of Shapley values can be seen with this classifier. The systems developed consist of either a single DTA classifier or five parallel DTA classifiers each of which is optimized to make a binary classification such as healthy vs. others, COPD vs. Others, etc. Feature sets based on Power Spectral Density (PSD), Mel Frequency Cepstral Coefficients (MFCC), and statistical characteristics extracted from lung sound recordings were used in these classifications. The results indicate that employing features selected based on the class-based contribution of Shapley values, along with utilizing an ensemble (parallel) system, leads to improved classification performance compared to performances using either raw features alone or traditional use of Shapley values.
2023-01-01T00:00:00ZA quantified risk analysis for oil spill during crude oil loading operation on tanker ship under improved Z-number based Bayesian Network approachSezer, Şükrü İlkeElidolu, GizemAkyüz, EmreArslan, Özcanhttps://hdl.handle.net/20.500.12508/30252024-01-17T12:20:22Z2023-01-01T00:00:00ZA quantified risk analysis for oil spill during crude oil loading operation on tanker ship under improved Z-number based Bayesian Network approach
Sezer, Şükrü İlke; Elidolu, Gizem; Akyüz, Emre; Arslan, Özcan
Crude oil cargo operation poses significant oil spill risk although utmost care is exercised by ship and shore crew. This paper focuses on quantitative risk analysis for oil spill incidents in crude oil tanker ships to enhance safety at the operational level and prevent potential pollution. To achieve this purpose, the Bayesian network (BN) is used under the improved Z-numbers theory. While BN provides a powerful tool based on cause and effect network between the variables, the improved Z-numbers are capable of handling uncertainty and improving the reliability of qualitative expert judgments. The findings show that the occurrence probability of oil spill risk in crude oil tanker ships is found 2.90E−02 during the cargo loading operation. The findings of the research are expected to contribute ship crew, safety inspectors, ship owners, HSEQ managers, and terminal managers in risk management decision-making, improving operational safety, taking control actions, and minimizing oil spills.
2023-01-01T00:00:00ZOptimization of complex coacervation parameters for the production of encapsulated black garlic using response surface methodologyŞasmaz, Hatice KübraAdal, EdaKadiroğlu, PınarSelli, SerkanUzlaşır, TürkanKelebek, Haşimhttps://hdl.handle.net/20.500.12508/30112024-01-16T07:02:30Z2023-01-01T00:00:00ZOptimization of complex coacervation parameters for the production of encapsulated black garlic using response surface methodology
Şasmaz, Hatice Kübra; Adal, Eda; Kadiroğlu, Pınar; Selli, Serkan; Uzlaşır, Türkan; Kelebek, Haşim
The purpose of this study was to optimize black garlic encapsulation parameters (core/coating ratio, extract concentration, and coacervate/maltodextrin [MD] ratio) using central composite design of the response surface methodology based on encapsulation efficiency (EE) (%). The optimum parameters were determined as 4.0 for the coating material/core ratio, 50% for the extract concentration, and 6.0 for the MD/coacervate ratio depending on the EE (%). The antioxidant activity values were determined as 101 and 134 µmol Trolox/100 g dry weight (DW) for the 2,2-diphenyl-1-picrylhydrazyl and 2,2′-azino-bis(3-ethylbenzothiazoline-6-sulfonic acid) methods, respectively, whereas the total phenolic content was 49 mg gallic acid equivalent/100 g DW for the encapsulated black garlic samples. S-Allyl-l-cysteine (SAC), γ-l-glutamyl-SAC (GSAC), γ-l-glutamyl-(S)-trans-1-propenyl-l-cysteine, and allicin were the organosulfur (OS) compounds determined in the samples. The SAC concentration of the encapsulated black garlic samples was determined as 22.36 mg/g, whereas the GSAC content was found at a lower concentration (0.33 mg/g) compared to SAC. The allicin content was quantified to be 0.31 mg/g. The encapsulated samples were also characterized by scanning electron microscopy (SEM) and Fourier transform infrared (FT-IR) spectroscopy. The FT-IR analysis revealed specific functional groups, including hydroxyl, carbonyl, and glycosidic linkage. The interaction between lentil protein isolate and pectin was strong enough to encourage capsule formation as visualized in the SEM images. This study shows the potential of black garlic coacervates as a functional ingredient for the food industry due to their stability, solubility, and preservation of OS and antioxidant compounds.
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