• Oxidative Stress and Biochemical Alterations in Patients with Head and Multiple Organ Traumas 

  Akyuva, Yener; Nur, Gökhan; Deveci, Hacı Ahmet; Güler, Songül Kocabaş (Turkish Neurosurgical Society, 2023)

  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 ...

• A 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 (MDPI, 2023)

  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 ...

• A 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 (Elsevier, 2023)

  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 ...

• Optimization 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 (Wiley, 2023)

  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 ...

• Optimal design of transmitarray antennas via low-cost surrogate modelling 

  Belen, Mehmet Ali; Çalışkan, Alper; Koziel, Slawomir; Pietrenko-Dabrowska, Anna; Mahouti, Peyman (Nature Research, 2023)

  Over the recent years, reflectarrays and transmitarrays have been drawing a considerable attention due to their attractive features, including a possibility of realizing high gain and pencil-like radiation patterns without ...

• Novel data on genotoxic assessment of bismuth sulfide nanoflowers in common carp Cyprinus carpio 

  Ergenler, Ayşegül; Turan, Funda; Zaman, Buse Tuğba; Tezgin, Emine; Bakırdere, Sezgin; Depci, Tolga (Springer, 2023)

  The environmental impacts and risks of nanomaterials that are commonly used in different technologies are of great concern as their toxic effects on the aquatic ecosystem remain unclear. In this study, bismuth sulfide ...

• The protective effect of caffeic acid phenethyl ester in the nephrotoxicity induced by α-cypermethrin 

  Nur, Gökhan; Çaylak, Emrah; Deveci, Hacı Ahmet; Kılıçle, Pınar Aksu; Deveci, Ayla (Walter de Gruyter GmbH, 2023)

  Alpha cypermethrin (α-CYP) is an insecticide, a member of the group of synthetic pyrethroid pesticides. This study aims to assess the histopathological and biochemical subacute effects of α-CYP on the renal tissues of 48 ...

• Preparation and characterization of activated carbons from Lemon Pulp for oxytetracycline removal 

  Solmaz, Alper; Karta, Mesut; Depci, Tolga; Turna, Talip; Sarı, Zeynel Abidin (Springer, 2023)

  This study aims to remove oxytetracycline (OTC) that harms the ecosystem, with activated carbon (LPAC) obtained from Lemon Pulp (LP). Characterization and properties of LPAC were analyzed by Brunauer-Emmett-Teller (BET), ...

• Transfer learning for drug–target interaction prediction 

  Dalkıran, Alperen; Atakan, Ahmet; Rifaioğlu, Ahmet Süreyya; Martin, Maria Jesús; Atalay, Rengül Çetin; Acar, Aybar Can; Doǧan, Tunca; Atalay, Volkan (Oxford University Press, 2023)

  MotivationUtilizing AI-driven approaches for drug-target interaction (DTI) prediction require large volumes of training data which are not available for the majority of target proteins. In this study, we investigate the ...

• Analysis of free-fall bullet injury potential in the cranium via finite elements method 

  Çelik, Ender; Koç, Ali (Elsevier, 2023)

  The aim of this study is to analyze the injury potential of the free-falling bullet in the cranium, which is known as a tired bullet in the public, with the finite element method (FEM) In the study, as penetrant 9 x 19 mm ...

• Boron stress signal is transmitted through the TOR pathway 

  Yılmaz, İrem Uluışık; Koç, Ahmet (Elsevier, 2023)

  Although boron is an essential element for many organisms, an excess amount of it can cause toxicity, and the mechanism behind this toxicity is not yet fully understood. The Gcn4 transcription factor plays a crucial role ...

• Microplastic pollution in two remote rivers of Turkiye 

  Gündoğdu, Sedat; Kutlu, Banu; Özcan, Tahir; Blettler, Martín César María (Springer, 2023)

  Microplastic pollution in aquatic ecosystems presents an emerging environmental threat that can have adverse effects on ecology, endanger aquatic species, and result in economic damage. Despite the numerous studies reporting ...

• Friction Stir Welding of Aluminum in the Aerospace Industry: The Current Progress and State-of-the-Art Review 

  Ahmed, Mohamed Mohamed Zaky; El-Sayed Seleman, Mohamed M.; Fydrych, Dariusz; Çam, Gürel (MDPI, 2023)

  The use of the friction stir welding (FSW) process as a relatively new solid-state welding technology in the aerospace industry has pushed forward several developments in different related aspects of this strategic industry. ...

• An Association Between the Intestinal Permeability Biomarker Zonulin and the Development of Diabetic Retinopathy in Type II Diabetes Mellitus 

  Erdem, Burak; Kaya, Yasemin; Kıran, Tuğba Raika; Yılmaz, Saadet (Turkish Ophthalmology Society, 2023)

  Objectives: Increased intestinal permeability (IP) and gut microbiota dysbiosis have been implicated in low-grade chronic inflammation, which is an important factor in the pathogenesis of diabetic retinopathy (DR). This ...

• Evaluation of disease outbreak in terms of physico-chemical characteristics and heavy metal load of water in a fish farm with machine learning techniques 

  Yılmaz, Mesut; Çakır, Mustafa; Oral, Mükerrem Atalay; Kazancı, Hüseyin Özgür (Elsevier, 2023)

  Diseases are quite common in fish farms because of changes in physico-chemical characteristics in the aquatic environment, and operational concerns, i.e., overstocking and feeding issues. In the present study, potential ...

• Comparison of ZnO doped different phases TiO2 nanoparticles in terms of toxicity using zebrafish (Danio rerio) 

  Sezer, Selda; Yücel, Ayşegül; Özhan Turhan, Duygu; Emre, Fatma Bilge; Sarıkaya, Musa (Elsevier, 2023)

  Titanium dioxide is used in many commercial and industrial areas such as paint, paper, cosmetics, textiles, and surface coating. The reasons for its use in such a wide area are its anti-corrosion and high stability. Although ...

• ProFAB—open protein functional annotation benchmark 

  Özdilek, A. Samet; Atakan, Ahmet; Özsarı, Gökhan; Acar, Aybar; Atalay, M. Volkan; Doğan, Tunca; Rifaioğlu, Ahmet Süreyya (Oxford University Press, 2023)

  As the number of protein sequences increases in biological databases, computational methods are required to provide accurate functional annotation with high coverage. Although several machine learning methods have been ...

• Presence of microplastic in the Patella caerulea from the northeastern Mediterranean Sea 

  Yücel, Nebil; Kılıç, Ece (Elsevier, 2023)

  This study reports first evidence of microplastic detection in the Patella caerulea collected from 5 different stations located in İskenderun Bay and Mersin Bay. A total of 160 P. caerulea specimens were examined and 40 ...

• Microwave Imaging Approach for Breast Cancer Detection Using a Tapered Slot Antenna Loaded with Parasitic Components 

  Zerrad, Fatima-Ezzahra; Taouzari, Mohamed; Makroum, El Mostafa; Aoufi, Jamal El; Qanadli, Salah D.; Karaaslan, Muharrem; Al-Gburi, Ahmed Jamal Abdullah; Zakaria, Zahriladha (MDPI, 2023)

  In this paper, a wideband antenna is proposed for ultra-wideband microwave imaging applications. The antenna is comprised of a tapered slot ground, a rectangular slotted patch and four star-shaped parasitic components. The ...

• Deep-learning-based precise characterization of microwave transistors using fully-automated regression surrogates 

  Çalık, Nurullah; Güneş, Filiz; Koziel, Slawomir; Pietrenko-Dabrowska, Anna; Belen, Mehmet Ali; Mahouti, Peyman (Nature Research, 2023)

  Accurate models of scattering and noise parameters of transistors are instrumental in facilitating design procedures of microwave devices such as low-noise amplifiers. Yet, data-driven modeling of transistors is a challenging ...

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