Okan University GCRIS Standard Database
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The Relation of Air Pollution on Morbidity and Mortality of SARS-CoV Infection in Tekirdag, Türkiye
Background: We aimed to investigate the relation between environmental air pollutants such as Particulate Matter 10 (PM10), Particulate Matter 2.5 (PM2.5), Sulfur Dioxide (SO2) on daily cases and deaths associated with SARS-CoV-2 infection. Methods: The ecological research examined the correlations of the air quality metrics and the data of COVID-19 cases and deaths from March 1, 2020 to March 1, 2021 in the central District of Tekirdağ Province in Türkiye. Results: During the study period, the average PM10 concentration was 32.57±17.86 µg/m3, PM2.5 was 20.68±11.31 µg/m3, SO2 was 11.28±13.42 µg/m3, and NO2 was 19.07±7.26 µg/m3. The SARS-CoV-2 case fatality rate in the study area during this period was 3.2%. Correlation analyses between air pollutants and SARS-CoV-2 cases and deaths revealed significant positive associations between SARS-CoV-2 cases (r=0.220 for PM10, P2.5, P2, P10, P2.5, P2, P2) levels significantly predicted both COVID-19 incidence and mortality. Conclusion: PM10, PM2.5, and SO2, key parameters for assessing air quality, exhibit a positive relationship with the increasing number of daily SARS-CoV-2 cases and daily deaths in the study area. © © 2025 Varol et al
Antioxidant Activity, Chemical Composition, and Therapeutic Activity of Essential Oils From Certain Lamiaceae Species in Türkiye
The study examined the antioxidant, antimicrobial, and potential anticancer properties of lavandin (Lavandula x intermedia 'Grosso'), oregano (Origanum vulgare 'Uluğ Bey'), and sage (Salvia officinalis 'Beyhekim') essential oils (EOs). Chemical analysis revealed that oregano is rich in carvacrol (81.23%), cymene (5.51%), and 18- cineole (2.13%). Sage contains notable quantities of α-thujone (17.47%), camphor (13.59%), and borneol (12.14%). Lavandin is predominantly composed of linalool (41.10%), linalyl acetate (16.66%), and camphor (10.01%). The antimicrobial tests demonstrated that lavandin EOs exhibited a high inhibition rate of 90.77% at 1000 μg/mL, which subsequently decreased with lower concentrations. The oregano essential oils demonstrated robust antimicrobial activity across all concentrations, with a 10.97% inhibition rate observed even at the lowest concentration. The sage EOs exhibited a rapid decline in antimicrobial activity, reaching 4.97% at the lowest concentration. Both the DPPH and ABTS assays demonstrated that the antioxidant capacity of the essential oils was concentration-dependent. The cytotoxicity values of oregano essential oil were 35.58 at 50 μg/mL, 32.39 at 25 μg/mL, and 30.92 at 12.5 μg/mL. Similar cytotoxicity results were observed for sage and lavandin essential oils. These findings indicate that plant essential oils exert a dose-dependent cytotoxic effect on cell growth, significantly inhibiting cells at high concentrations. The research indicates that essential oils derived from Lamiaceae plants exhibit robust antimicrobial effects against a range of pathogens, suggesting potential applications as alternative therapies for specific microbial infections, comparable to ciprofloxacin at certain concentrations.Emerging Sources Citation Inde
Comprehensive Review of Green Roof and Photovoltaic-Green Roof Systems for Different Climates To Examine the Energy-Saving and Indoor Thermal Comfort
Built-up regions are increasingly at risk from climate change and urban heat islands (UHIs). Solar panels and green roof systems (PV/GR) can provide several advantages to support ecologically sustainable cities. Research gaps in hot climates at the building and urban sizes are highlighted in this study, which examines the advantages of GR and combined PV/GR systems as well as their optimal design parameters. An extensive analysis of published works from the Scopus database was conducted to examine how energy-saving and indoor thermal comfort (UH-ES-ITC) was accomplished in urban structures, as well as the impact of green roofs (GR) and photovoltaic/GR systems on UHI mitigation. It's been found that, especially at building scale, GR and GR/PV systems enhance notable qualities in hot, dry locations. Sadly, not much research has been done on GR/PV systems on coupling scales. Among the research gaps identified in this study are those related to the methodology, scope, climate, objectives, variables, and features of this integration in different climate zones. Researchers and urban planners might use the findings to inform future research directions and implementation.Deanship of Research and Graduate Studies at King Khalid University [RGP2/543/45]The authors extend their appreciation to the Deanship of Research and Graduate Studies at King Khalid University for funding this work through the Large Research Group Project under grant number RGP2/543/45.Science Citation Index Expande
Smart Guider on Historical Game Journey: Smart Scepter Design With Design Thinking Approach
Transferring cultural heritage to younger generations plays an important role in shaping and guiding the future of societies. In this context, the “Historical Game Journey (HGJ)” project, which is based on Information Technology (IT) infrastructure, was developed to transfer historical knowledge and cultural heritage awareness to young generations through gamification. The aim of this study is to design and develop a smart scepter as a prototype that will help children find targets during the tour within the scope of HGJ's IT infrastructure. Three different designs were prepared using the Design Thinking Approach, and the most suitable one was selected by conducting a survey with the students who will use the scepter. The scepter and the developed IT infrastructure can be utilized, with minor adjustments, in museums, orienteering competitions, tourist areas, and military campuses. Additionally, it is anticipated that the database created by tracking the smart scepter will contribute to smart city applications. © 2025 by IGI Global Scientific Publishing. All rights reserved
Accurate Prediction of the Rheological Behavior of Mwcnt-Al2O3/ Water-Ethylene Glycol Nanofluid With Metaheuristic-Optimized Machine Learning Models
The accurate prediction of the rheological properties of nanofluids is critical for optimizing their application in various industrial systems. This study focuses on the dynamic viscosity prediction of MWCNT-Al2O3/water (80 %) and ethylene glycol (20 %) hybrid nanofluid using machine learning approaches. A multilayer perceptron neural network (MLPNN) was employed for viscosity prediction, and its structural and training parameters, including the number of hidden layers and neurons, learning rate, training technique, and transfer functions, were optimized using three metaheuristic algorithms: Genetic Algorithm (GA), Particle Swarm Optimization (PSO), and Marine Predators Algorithm (MPA). A dataset containing viscosity measurements influenced by nanoparticle volume fraction (VF), temperature (T), and shear rate (SR) was utilized. The optimization algorithms were evaluated over 10 and 20 runs for single-hidden-layer (1HL) and double-hidden-layer (2HL) MLPNNs, respectively. For the 1HL-MLPNN models, all three algorithms achieved nearly identical performance with high predictive accuracy (R = 0.99992, MSE = 0.00176). In contrast, for 2HL-MLPNN models, PSO outperformed MPA and GA with R = 0.99995 and MSE = 0.00105, followed by MPA (R = 0.99995, MSE = 0.00123) and GA (R = 0.99992, MSE = 0.00160). Also, sensitivity analysis revealed the VF as the most significant input parameter affecting viscosity predictions, followed by shear rate and temperature. These findings demonstrate the potential of metaheuristic-optimized MLPNNs for high-accuracy prediction of hybrid nanofluid rheological properties, facilitating improved design and application in thermal management systems.Science Citation Index Expande
Optimal Control in Geometric Dynamics: Applications To AI Algorithm Optimization
This paper extends the fundamental concepts of geometric dynamics and optimal control theory, inspired by the pioneering work of Professor Constantin Udriste, to develop novel optimization algorithms for artificial intelligence systems. We establish connections between nonholonomic macroeconomic systems and reinforcement learning by formulating a multi-time maximum principle framework that integrates sub-Riemannian geometry. Our proposed methodology demonstrates how constrained variational problems can optimize neural network training trajectories through a bang-bang control approach. An empirical case study implements this theoretical framework to optimize a deep reinforcement learning algorithm, showing significant improvements in convergence speed and stability compared to standard approaches. The results demonstrate the practical value of geometric dynamics principles in modern Artificial Intelligence (AI) optimization, establishing a bridge between classical mathematical control theory and contemporary machine learning challenges.Emerging Sources Citation Inde
Ortaklığın Giderilmesinde Arabuluculuk Süreci ve Anlaşma Belgesinin İcra Edilmesi
7445 sayılı Kanun ile Hukuk Uyuşmazlıklarında Arabuluculuk Kanunu’na (HUAK) eklenen 18/B maddesi uyarınca taşınır ve taşınmaz malların paylaştırılması ve ortaklığın giderilmesiyle ilgili uyuşmazlıklarda dava açmadan önce arabuluculuk yoluna başvurulması dava şartı olarak düzenlenmiştir. Ortaklığın giderilmesine ilişkin uyuşmazlıklar ihtiyari arabuluculuk kapsamında çözüme kavuşmaya da elverişlidir. Ortaklığın giderilmesine ilişkin uyuşmazlıklarda arabuluculuk yöntemi, tarafların kendi çözümlerini bulması ve uzun süren yargılamalar ile yargılama masraflarına katlanmaktan uzaklaşmak gibi yönleriyle avantajlar sağlamaktadır. HUAK m.18/B uyarınca ortaklığın giderilmesine ilişkin arabuluculuk süreci sonunda tarafların anlaşması halinde bir anlaşma belgesi düzenlenmelidir. Bu belgede uyuşmazlık taşınmazla ilgili ise kanunlarda yer alan sınırlamalar ile usul ve esaslar gözetilmelidir. Ayrıca ortaklığın giderilmesine ilişkin düzenlenen anlaşma belgesinin hüküm doğurması için sulh hukuk mahkemesinden icra edilebilirliğine ilişkin şerhin alınması zorunludur. Uygulamada, ortaklığın satış suretiyle giderilmesine ilişkin icra edilebilirlik şerhi taşıyan anlaşma belgelerinin gereğinin yerine getirilmesine ilişkin taleplerin, sulh hukuk mahkemesi satış memurlukları tarafından bu belgenin mahkeme kararı olmadığı ileri sürülerek icra edilmediğine şahit olunmaktadır. Yine resmi sicile kayıtlı taşınır ve taşınmaz üzerindeki ortaklığın arabuluculuk yoluyla giderilmesi ve anlaşmanın malik değişikliğine ilişkin olması halinde icra edilebilirlik şerhi taşıyan anlaşma belgelerinin mahkeme kararı olmadığı ileri sürülerek resmi sicilde icra edilmediği görülmektedir. Bu çalışmada taşınır ve taşınmazlar üzerindeki ortaklığın giderilmesine ilişkin uyuşmazlıkların arabuluculuk yöntemiyle çözüme kavuşma süreci ve süreç neticesinde düzenlenecek anlaşma belgesinin nasıl icra edilmesi gerektiğinin belirlenmesi amaçlanmıştır. Bu çerçevede, uygulamada ortaya çıkan sorunların kaynağı tespit edilmeye çalışılmış ve bu sorunlara ilişkin çözüm önerilerine yer verilmiştir
Adaptation of Ventilation Strategies From Acute RDS To Severe BPD: a National Multicenter Survey of Practices in Extremely Preterm Infants
Guney Varal, Ipek/0000-0002-3298-066X;Advances in diagnostic and therapeutic methods have led to a paradigm shift in the management of bronchopulmonary dysplasia (BPD). The lack of evidence-based data in this area has led to variations in clinical practice. The aim of this study was to identify these differences and compare them with recommendations based on pathophysiology. The study was designed as an observational online survey of neonatologists from level 3 to 4 neonatal intensive care units caring for premature infants at increased risk of BPD and born before 28 weeks' gestation. Respondents were invited to participate in the study through the portal of the Turkish Neonatal Society. Participants were surveyed online about preferred ventilation modes, settings and clinical management of these patients through each respiratory distress syndrome, evolving BPD and severe BPD phases. A total of 39 centers involved in the study. Pressure-control assist-control volume-guaranteed was the most commonly preferred ventilation mode in respiratory distress syndrome and evolving BPD, while high frequency oscillatory ventilation was most commonly used in severe BPD. The use of synchronized intermittent mandatory ventilation volume-guaranteed pressure support ventilation increased with disease progression. Ventilation settings were found to be changed according to pathophysiological recommendations, but not to the extent recommended. The study shows that early ventilation strategies are predominantly maintained in the later phases of BPD, although there are notable differences between centers.Science Citation Index Expande
Anatomical Relationship Between the Profunda Brachii Artery and the Radial Nerve at the Entrance and Within the Radial Groove
Zeybek, Nursen/0000-0002-4401-1292PurposeIn this study, it was aimed to examine the relationship between the profunda brachii artery and the radial nerve at the entrance to and within the radial groove considering no comparable study was found in the literature.MethodDissection was performed in 44 upper extremities (21 right and 23 left) of 24 fixed cadavers used for medical education at Istanbul University, Istanbul Medical Faculty, Department of Anatomy.ResultsProfunda brachii artery was found to be a single artery in 39 extremities and a double artery in 5 extremities. In 27 cases with single PBA, the nerve was located superolateral to the PBA (Type A), and in 8 cases the nerve was located inferomedial to the PBA (Type B). In all 5 extremities with double profunda brachii artery, the proximal branch was superolateral (Type A) and the distal branch was inferomedial (Type B).ConclusionsThis research will support surgeons understanding how to better anatomically and radiologically treat humeral fractures and lateral arm flap applications.Science Citation Index Expande
Carbon-Doped Percentage Effect on the Mechanical Properties of Nanoporous Silicon Sample Using Molecular Dynamics Simulation
Porous materials have attracted considerable attention from researchers due to its many uses in molecular separation, heterogeneous catalysis, absorption technologies, and electronic improvements. These solid materials, often defined by their structural voids, are essential in several sectors. This research investigated the impact of carbon doping on the mechanical characteristics of nanoporous silicon matrices. The use of high-purity silicon doping is very beneficial in the semiconductor industry and is crucial for high-power devices and automotive applications. This study simulates a nanoporous silicon sample by molecular dynamics methods, adding carbon doping at different concentrations. The findings demonstrate that when the carbon doping concentration escalated from 1 % to 30 %, the mechanical resistance of the system decreased correspondingly. The ultimate tensile strength fell from 10.26 to 9.02 GPa. Furthermore, Young's modulus rose from 83.47 to 98.37 GPa. The decline in mechanical stability was associated with a drop in the model's total weight, which had considerable ramifications for industrial applications. Thus, incorporating C-doped nanoporous silicon into real applications not only lowered the weight of target materials but also improved their use. © 2025 The Author(s