Recep Tayyip Erdoğan Üniversitesi Kurumsal Akademik Arşivi
DSpace@RTEÜ, Recep Tayyip Erdoğan 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 yayınların etkisini artırmak için telif haklarına uygun olarak Açık Erişime sunar.
Güncel Gönderiler
Regional differences in microplastic accumulation in the thornback ray (Raja clavata) along the southern Black Sea coast
(Elsevier, 2026) Eryaşar, Ahmet Raif; Mutlu, Tanju; Dağtekin, Murat; Kaygusuz, Özcan; Gedik, Kenan
Microplastic (MP) pollution is an emerging global concern with potential ecological and human health consequences, yet data on its impacts in demersal cartilaginous fishes remain scarce. This study presents the first assessment of MP ingestion in the thornback ray ( Raja clavata ) specifically focusing on the southern Black Sea coast. A total of 68 individuals collected from 23 stations were examined, yielding 196 MP particles. The mean abundance was 2.88 MPs per individual, with significantly higher values in the eastern Black Sea compared to the western region (Mann–Whitney U, p = 0.036). Fibers dominated the morphological categories (>80 %), while PET and PP were the most prevalent polymer types, and black and blue were the dominant colors. The eastern coast exhibited greater polymer and color diversity, which suggests a potential association with heterogeneous land-based inputs. No significant correlations were found between MP abundance and fish length, weight, or sampling depth. These findings highlight spatial heterogeneity in MP contamination, emphasizing areas of accumulation consistent with regional riverine discharges and coastal pressures. The results highlight the potential importance of targeting land-based sources to support conservation efforts in sensitive marine ecosystems.
Identification of the biological properties of three novel lytic bacteriophages capable of infecting Bacillus anthracis: Novel members of the class Caudoviricetes
(Bailliere Tindall Ltd, 2026) Bozdeveci, Arif; Karaoğlu, Şengül Alpay; Akman, Ayhan; Suyabatmaz, Şeyma; Akpınar, Rahşan; Kızıltepe, Şemistan; Altıntaş, Özlem; Şen, Selahattin
Bacillus anthracis spores can remain viable for many years in regions where anthrax cases are reported or where deceased animals are buried. Anthrax occurrences may be more common in areas where livestock farming is a primary source of livelihood. In this study, 43 Bacillus anthracis isolates were used, which were isolated from samples collected in different provinces of Türkiye. Three lytic bacteriophages(BaTR8, BaTR13, and BaTR16) were isolated from environmental soil samples. These three lytic bacteriophages' biological properties (host range, burst size, and phage morphology) were defined, and molecular methods were used to determine their genomic structures. It was determined that three lytic phages were able to infect 84.1 % of the host bacteria and formed clear phage plaques. Transmission electron microscopy (TEM) analysis identified them as siphoviruses. Bacteriophage genome lengths ranged from 35587 to 37369 kb, and the GC content was approximately 35 %. The genome structures of the three phages were analyzed, determining that they contained 58–62 ORFs and did not encode any tRNA genes. Phylogenetic analyses of the bacteriophages were performed based on whole-genome sequences and conserved signature genes (major capsid, portal, and terminase large subunit proteins), and the phages were taxonomically classified within the class Caudoviricetes. The three phages isolated in this study, together with the Athena phage, which infects Bacillus anthracis, were determined to form a new cluster distinct from the Wbetavirus and Hubeivirus genera. Our study presents, for the first time, the results of a detailed evaluation of Bacillus anthracis phages isolated from Türkiye.
A novel passive cooling configuration for photovoltaic panels based on bio-inspired heatsinks and nanoparticle-enhanced PCM
(Elsevier, 2026) Cüce, Erdem; Cüce, Pınar Mert; Güçlü, Tamer
This study presents the design, fabrication, and experimental evaluation of a novel passive thermal management system for photovoltaic (PV) modules that integrates a bio-inspired aluminium heatsink with a nanoparticle-doped phase change material (PCM). The proposed configuration aims to regulate the temperature of the PV module under real outdoor conditions without any external energy input. The bio-inspired heatsink was designed based on coral-like branching geometry to enhance natural convection and heat distribution within the PCM. The PCM, doped with metal-oxide nanoparticles (Al2O3, SiO2, TiO2) at a 2% mass fraction, provided additional latent-heat storage capacity and improved thermal conductivity. Experimental tests were conducted using two identical monocrystalline PV panels. The results demonstrated that the bio-inspired-cooled PV module effectively reduced surface temperature fluctuations by 8–15 °C and achieved a maximum efficiency improvement of 9.2% compared to the uncooled configuration. The integration of the PCM layer with the bio-inspired heatsink maintained a more stable operating temperature throughout the day, particularly during high-irradiance conditions. Hourly I-V and P-V analyses confirmed that the hybrid module consistently exhibited higher maximum power and efficiency values. Furthermore, the estimated energy yield analysis revealed that the average efficiency gain of 5.6% achieved under outdoor conditions could lead to a substantial increase in annual energy production. Overall, the hybrid bio-inspired fins + PCM system offers a sustainable, self-regulating, and energy-free cooling solution that enhances both the performance and durability of PV modules.
Modeling and optimization of electro-mechanical properties in 18,650 batteries using a hybrid DNN-GWO approach: integrating metrological data and simulation
(Elsevier, 2026) Zhang, Qiang; Chang, Lei; Yaylacı, Murat; Awwad, Emad Mahrous; Telba, Ahmad A.
The process of optimizing lithium-ion batteries needs precise assessment of all their electro-mechanical and vibrational characteristics. The researchers present a measurement-based framework which enhances the performance of 18,650 lithium-ion cells that use graphene nanoplatelets as reinforcement material. A deep neural network (DNN) serves as the system that establishes complex connections between structural elements and their resulting performance metrics which include mechanical strength and electrical conductivity and vibrational response. The Grey Wolf Optimizer (GWO) establishes a structured approach to measurement space exploration which identifies the best system setups that achieve maximum battery capacity while maintaining dependable measurement results. The method focuses on three key aspects which include accurate measurement results and consistent measurement outcomes and methods of measuring uncertain results. The strong metrological framework establishes assessment procedures for evaluating performance improvements. The framework's ability to predict future outcomes gets confirmed through testing with separate experimental data from academic research while high-fidelity simulations show complete details about the electro-mechanical performance. The approach uses metrological principles which include accuracy and repeatability and uncertainty quantification to create a modeling and optimization system which trains the DNN using a hybrid dataset that combines experimental data with high-fidelity simulations and includes dedicated measurement noise simulation through explicit data augmentation. The measurement-guided approach achieves better results because it combines two advantages: improved accuracy and enhanced computational efficiency which surpass standard predictive and optimization methods. The research introduces an innovative measurement-based technique which uses artificial intelligence together with metrological standards to deliver precise battery performance evaluations and structured development of lithium-ion batteries.
Morphological structuring of Atlantic bonito (Scombridae: Sarda sarda) stocks in the southern Black Sea revealed by integrative phenotypic analyses
(0272-7714, 2026) Dürrani, Ömerhan; Bal, Habib; Erbay, Murat; Mazlum, Rahşan Evren; Türkoğlu, Muammer; Seyhan, Kadir
Atlantic bonito ( Sarda sarda ), a commercially important and highly migratory species, has long been managed as a single stock in the Black Sea and adjacent waters. This approach has historically been supported by genetic studies indicating widespread homogeneity. The present study provides an integrative phenotypic assessment of this assumption from a morphological perspective, incorporating: geometric morphometric analysis of body shape, traditional otolith shape indices, elliptical Fourier-based otolith shape analysis, and von Bertalanffy growth modelling. Specimens collected from the Eastern, Middle, and Western Black Sea (∼41–42°N) exhibited consistent morphological structuring, supporting the presence of at least two phenotypically differentiated stocks: one comprising the Eastern–Middle region and the other comprising the Western region. Traditional otolith shape indices failed to detect this structure, whereas elliptical Fourier analysis discriminated the Eastern–Middle phenotypic stock from the Western phenotypic stock. Growth modelling further supported phenotype-based stock differentiation, revealing significant differences in growth trajectories between the Western and Eastern–Middle phenotypic stocks, with no significant separation between the Eastern and Middle regions. This study also provides the first evidence of directional asymmetry in Atlantic bonito otoliths, a potential indicator of environmental stress. These findings advocate for a reassessment of single-stock management strategies and highlight the need for further investigation across broader regions, emphasising the value of integrative phenotypic assessment in identifying and refining management approaches for phenotypically differentiated stocks.
