Yıldız Technical University Research Information System
Not a member yet
91324 research outputs found
Sort by
Advanced Bioformulations for Wood Surface Protection: A Green Chemistry Approach Involving Zinc Borate, Waste Oil and Tea Tree Oil
Insights into Disciplinary Literacies: Multilingual Perspectives across Educational Levels
The study explores the relationship between grit, study habits, and academic performance in CLIL by Italian-Turkish learners in Turkey.</span
Investigation of gamma ray shielding and transmission properties in B2O3-Doped glasses
This study investigates the radiation shielding properties of boron oxide (B2O3)-doped glass materials, synthesized via melt water quenching, with varying B2O3 content from 0 to 25 wt%. Six glass samples were analyzed using Phy-X/PSD software to calculate key radiation protection parameters, including linear attenuation coefficient (LAC), mass attenuation coefficient (MAC), half-value layer (HVL), and mean free path (MFP) across photon energy ranges from 10−3 to 105 MeV. The results indicate that increasing B2O3 content led to a reduction in material density, from 2.285 g/cm3 for S1 (0 wt% B2O3) to 1.990 g/cm3 for S6 (25 wt% B2O3), causing a corresponding decrease in LAC values from 41.97 cm−1 to 34.88 cm−1 at 100 keV. MAC values declined by 17 %, and HVL increased by 14.6 %, from 0.048 cm in S1 to 0.055 cm in S6 at 1 MeV. MFP values increased by 16.7 %, further illustrating the weakened radiation shielding capacity with higher B2O3 content. It can be concluded that while boron-doped glasses offer environmental benefits, their reduced radiation attenuation capacity with increasing B2O3 content necessitates further optimization to enhance their suitability for medical and industrial applications
Effects of different silica sources on rheological properties and 3D printability of magnesium-based cements
Explainable address matching in online geocoding: filter-based feature selection and ensemble classification
The growing adoption of location-based services and mobile technologies has resulted in the extensive accumulation of address-tagged data across both commercial and public platforms. Leading location-based services are predominantly developed by commercial companies. Their online geocoding and address-matching solutions, however, do not permit users to modify their reference databases, which raises concerns regarding the accuracy of the geocoding process. In this study, we propose a feature selection framework aimed at enhancing online geocoding quality and overcoming the limitations of address matching. The proposed method integrates text similarity algorithms to improve address-matching result, achieving a significant accuracy gain of approximately 10–25% compared to standard outputs from services like Google Maps and ArcGIS Online. Unlike traditional approaches, this study specifically employs a feature selection framework to ‘reverse-engineer’ and rectify the opaque decision-making processes of commercial geocoders. Among the fourteen evaluated feature selection methods, mutual information-based selection and minimum redundancy-maximum relevance were identified as the most effective. The findings indicate that character-based text similarity algorithms are recommended for prioritization to further enhance the accuracy of online geocoding outputs
Effects of methane addition on flame temperature, equilibrium products and thermodynamic properties of ammonia-air combustion
This study presents a comprehensive thermodynamic and numerical equilibrium analysis of ammonia-methane-air combustion across a wide range of conditions, including equivalence ratios (phi = 0.3-2.0), pressures (1-60 atm), and unburned mixture temperatures (300-800 K). The work investigates how methane blending and equivalence ratio control influences the equilibrium combustion characteristics of ammonia-a carbon-free but kinetically limited fuel-using a validated equilibrium model benchmarked against NASA CEA and GASEQ. Results reveal that methane addition consistently increases adiabatic flame temperature and specific heat capacity, enhancing energy release and combustion intensity. However, this comes at the cost of higher thermal NO formation due to elevated post-flame temperatures. In contrast, ammonia-rich blends yield greater H2O and entropy while suppressing CO2 emissions and radiative heat transfer, owing to their lower flame temperatures and product molar mass. The analysis shows that product composition, thermodynamic properties, and dissociation behavior are highly sensitive to equivalence ratio, pressure, and reactant temperature. Entropy increases monotonically with equivalence ratio due to greater product diversity in fuel-rich regimes, even as internal energy and enthalpy decline. The equilibrium composition transitions smoothly from complete oxidation products (CO2, H2O) to dissociation-dominated species (CO, H2, radicals) under rich conditions. These findings establish a thermodynamic foundation for optimizing ammonia-methane blends in low-carbon combustion systems, offering critical insight into energy release, product formation, and emissions-related behavior. The results support the development of advanced fuel strategies for engines, turbines, and industrial burners targeting cleaner energy solutions
Characterization of the properties of modified avocado seed starches by heat-moisture treatment, cross-linking and oxidation and their applications in packaging film
In this study, modification of avocado seed starch (via heat-moisture treatment, cross-linking, and oxidation) was carried out, and then films were produced using modified starches. Native and treated starches were examined for physicochemical, digestibility, pasting, structural, thermal, and morphological properties. Native avocado seed starch had high amylose content (33.67 %) and resistant starch content (84.67 %). FT-IR spectra revealed that no new chemical bonds were formed after the modifications, and X-ray diffractograms indicated that the crystal pattern remained unaffected by the modifications. Cross-linking and oxidation increased thermal stability of avocado seed starch. Micrographs of the modified starches showed aggregations in the starch granules. Solubility decreased considerably by heat-moisture and oxidation treatments, and swelling power increased by cross-linking. All modification techniques reduced the amount of rapidly digestible starch. The highest peak viscosity and trough viscosity were observed in cross-linked starch and heat-moisture and cross-linked starches formed stable starch pastes. The modifications also improved the water resistance of the films by reducing the water vapor permeability from 0.86 g·mm/m2·h·kPa to 0.72–0.84 g·mm/m2·h·kPa. Furthermore, films produced with modified starches had better transparency and mechanical strength. As a result of heat-moisture treatment, cross-linking, and oxidation, avocado seed starches with distinct physicochemical properties were obtained, leading to enhanced potential for application in biopolymer film production
Advances in biosensors for wastewater quality assessment
Contamination of wastewater presents a major risk to global water resources, ecosystems, and human health, driven by industrial discharges, agricultural runoff, and inadequate sanitation infrastructure. Key pollutants, such as heavy metals, organic compounds, pathogens, and emerging pollutants like pharmaceuticals, are analyzed for their effects on aquatic ecosystems and public health. Conventional methods including titration, spectrophotometry, gas chromatography, high-performance liquid chromatography, ion chromatography do not have enough sensitivity for timely diagnosis. So sensitive, fast and available diagnostic devices are highly needed for pollution detection. Biosensors compared with the conventional methods, they have many advantages such as sensitive, specific, low cost and rapid. This review evaluates the role of biosensor technologies in detecting and monitoring of wastewater pollutants, highlighting their potential for real-time, sensitive, and cost-effective analysis. Also, the types of biosensors used to monitor of water pollution were reviewed and compared with conventional methods and their pros and cons were discussed