Fakülteler: Recent submissions
Now showing items 761-780 of 2389
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Removal of lead (II) from aqueous solution using epichlorohydrin cross-linked shrimp waste-derived chitosan based @ calcium phosphates biocomposite: Experimental study and computational approach
(2023)An economical composite has been synthesized utilizing chitosan derived from discarded shrimp shells and hydroxyapatite extracted from waste bovine bones. This research delves into the composite's adsorption properties for ... -
Adsorption properties of amine modified lignin-hydrogel composite for uranyl ions: Theoretical and experimental insights
(2023)A new modified material was synthesized and characterized as ethylene diamine modified (EA) Polyacrylamide (PAA)-Lignin (L). The adsorption features of EA modified PAA-L were studied for uranyl ions. The characterization ... -
III. ULUSLARARASI MÜZİK VE GÜZEL SANATLAR EĞİTİMİ SEMPOZYUMU (UMGES 2023) KONSER DÜZENLEME KURULU BAŞKANI
(10.11.2023)Online Konser Daveti 10-12 Ekim 2023 tarihleri arasında ikincisini düzenleyeceğimiz III. Uluslararası Müzik ve Güzel Sanatlar Eğitimi Sempozyumu (UMGES) kapsamında 10. 11. 2023 tarihinden itibaren bölümümüz resmi YouTube ... -
Effect of particle shape on bubble-particle attachment behavior: roles of surfaces, edges and vertexes
(Elsevier, 2023)It has been understood through many studies that particle shape is important in terms of particle adhesion to air bubbles in flotation. However, there are many questions yet to be answered. Whether the surface of the ... -
Comparison of Particle Shape, Surface Area, and Color Properties of the Calcite Particles Ground by Stirred and Ball Mill
(MDPI, 2023)Since the particle size, shape, specific surface area, and purity of the ground calcium carbonate (GCC) decide its usability in the paper, paint, and plastic industries, the effect of grinding is important. However, the ... -
Experimental and theoretical insights on the structural and optical properties of GeOx thin films deposited via RF magnetron sputtering under varying oxygen percentage
(ELSEVIER, 2023)In this study, GeOx films were produced by radio frequency magnetron sputtering (RFMS) under varying oxygen percentages. The structural and optical properties of films grown have been studied experimentally and theoretical ... -
Effect of substrate temperature on Raman study and optical properties of GeOx/ Si thin films
(Springer, 2023)In this study, GeOx thin films were deposited onto Si substrates using the RF magnetron sputtering method. We looked at how the temperature of the substrate affected the Raman spectra and optical characteristics of GeOx ... -
Modeling of temperature‑dependent photoluminescence of GaN epilayer by artificial neural network
(Springer, 2023)Artificial neural networks (ANNs) are a type of machine learning model that are designed to mimic the structure and function of biological neurons. They are particularly well-suited for tasks such as image and speech ... -
Investigating the optical, electronic, magnetic properties and DFT of NiO films prepared using RF sputtering with various argon pressures
(ELSEVIER, 2023)In this study, we investigated the structural, optical, magnetic, and conductive properties of nickel oxide (NiO) films on glass substrates deposited using Radio Frequency (RF) magnetron sputtering with varying Ar gas ... -
Comprehensive growth and characterization study of GeOx/Si
(ELSEVIER, 2023)In this study, the reactive radio frequency magnetron sputtering (RFMS) method under varying thickness was used to deposit GeO x on Si substrate at room temperature. The effect of thickness on the structural and optical ... -
Static and kinematic PPP-AR performance of low-cost GNSS receiver in monitoring displacements
(01.12.2023)Recently, low-cost GNSS receivers have played a significant role in displacement monitoring studies due to the increasing availability of mass-market applications. In this work, the performance of static and kinematic ... -
Determination of periodic deformation from InSAR results using the FFT time series analysis method in Gediz Graben
(17.03.2023)Permanent Scatterers (PS) point velocities obtained by the interferometric synthetic aperture radar (InSAR) method are generally determined using the linear regression model, which ignores periodic and seasonal effects. ... -
On the Impact of GPS Multipath Correction Maps and Post-Fit Residuals on Slant Wet Delays for Tracking Severe Weather Events
(20.03.2023)Climate change has increased the frequency and intensity of weather events with heavy precipitation, making communities worldwide more vulnerable to flash flooding. As a result, accurate fore-and nowcasting of impending ... -
Characterization of the co-seismic pattern and slip distribution of the February 06, 2023, Kahramanmaras, (Turkey) earthquakes (Mw 7.7 and Mw 7.6) with a dense GNSS network
(09.11.2023)Two consecutive earthquakes with the magnitudes of Mw 7.7 and 7.6 (February 06, 2023) occurred on the East Anatolian Fault Zone (EAFZ) segments and unfortunately resulted in significant devastation to human life and cities ... -
Toxoplasma gondii and multiple sclerosis: a population-based case-control seroprevalence study, Central Anatolia, Turkey
(2023)Background: Toxoplasma gondii, an obligate intracellular parasite, is prevalent in various mammalian species, as well as certain avian, reptilian, and cold-blooded organisms. While immunocompetent individuals generally remain ... -
Neural network predictions of (n, 2n) reaction cross-sections at 14.6 MeV incident neutron energy
(2023/1/1)In this study, we have estimated the (n,2n) reaction cross-section for 14.6 MeV incident neutron energy by using the artificial neural network (ANN) method. We have also predicted the reaction cross-sections whose experimental ... -
Predicting -decay energy with machine learning
(2023/3/15)Q β represents one of the most important factors characterizing unstable nuclei, as it can lead to a better understanding of nuclei behavior and the origin of heavy atoms. Recently, machine learning methods have been shown ... -
Estimation of fission barrier heights for even–even superheavy nuclei using machine learning approaches
(2023/3/21)With the fission barrier height information, the survival probabilities of super- heavy nuclei can also be reached. Therefore, it is important to have accurate knowledge of fission barriers, for example, the discovery ... -
Performance of machine learning algorithms on neutron activations for Germanium isotopes
(2023/7/1)In the studies of nuclear physics, one of the important parameters for nuclear reactions is the reaction cross-section. It can be obtained from experimental data or by different theoretical models. In this study, we implement ... -
Estimation of the S34 (0) S-factor for 3He (α, γ) 7Be reaction by using distorted wave born approximation and artificial neural network
(2023/9/6)The astrophysical S-factor and total cross-section of radiative capture reaction are analyzed using the first-order distorted wave born approximation and artificial neural network. To make estimations of S 34 (0) at ...