WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection

Permanent URI for this collectionhttps://hdl.handle.net/11147/7150

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Now showing 1 - 10 of 81
  • Article
    Citation - WoS: 15
    Citation - Scopus: 17
    Effect of Different Microencapsulating Materials on the Viability of S. Thermophilus Ccm4757 Incorporated Into Dark and Milk Chocolates
    (Elsevier Ltd., 2021) Öztürk, Burcu; Elvan, Menşure; Özer, Merve; Tellioğlu Harsa, Şebnem
    This study aimed to evaluate the viability and bioaccessibility of Streptococcus thermophilus CCM4757 strain supplemented in dark and milk chocolates during storage period and pass through simulated in vitro gastro-intestinal tract. Microencapsulated and non-microencapsulated S. thermophilus CCM4757 strain added into the chocolates. Emulsion technique was used to microencapsulate cells with various biopolymers; carboxymethylcellulose, pectin, gum arabic, and cellobiose. The microencapsulated S. thermophilus with these coating materials was found to be viable higher than 9 log CFU/g up to 180 days of storage at 4 °C. Microbiological, physicochemical, and sensorial attributes of the chocolates containing microencapsulated and non-microencapsulated S. thermophilus CCM4757 were analyzed. The microencapsulated S. thermophilus showed a good survivability in milk (7.12 log CFU/g) and dark (6.90 log CFU/g) chocolate samples during 180-day storage at 4 °C. Supplementation of S. thermophilus did not affect significantly (P > 0.05) the sensory attributes of the chocolates. The results showed that S. thermophilus CCM4757 exhibited good cell survivability higher than 85% in chocolates under simulated gastro-intestinal fluids. S. thermophilus supplementation into the chocolate protected the viability of cells and did not affect the sensorial characteristics and moisture content of chocolates. The present study demonstrated that the dark and milk chocolates could be used as an important matrix to carry probiotics. © 2021 Elsevier Ltd
  • Article
    Citation - WoS: 8
    Operator-Splitting Methods Via the Zassenhaus Product Formula
    (Elsevier Ltd., 2011) Geiser, Juergen; Tanoğlu, Gamze
    In this paper, we contribute an operator-splitting method improved by the Zassenhaus product. Zassenhaus products are of fundamental importance for the theory of Lie groups and Lie algebras. While their applications in physics and physical chemistry are important, novel applications in CFD (computational fluid dynamics) arose based on the fact that their sparse matrices can be seen as generators of an underlying Lie algebra. We apply this to classical splitting and the novel Zassenhaus product formula. The underlying analysis for obtaining higher order operator-splitting methods based on the Zassenhaus product is presented. The benefits of dealing with sparse matrices, given by spatial discretization of the underlying partial differential equations, are due to the fact that the higher order commutators are very quickly computable (their matrix structures thin out and become nilpotent). When applying these methods to convection-diffusion-reaction equations, the benefits of balancing time and spatial scales can be used to accelerate these methods and take into account these sparse matrix structures. The verification of the improved splitting methods is done with numerical examples. Finally, we conclude with higher order operator-splitting methods. (C) 2010 Elsevier Inc. All rights reserved.
  • Article
    Citation - WoS: 3
    Correntropy Function for Fundamental Frequency Determination of Musical Instrument Samples
    (Elsevier Ltd., 2011) Özbek, Mehmet Erdal; Savacı, Ferit Acar
    Fundamental frequency or pitch determination is one of the main issues in the transcription of music. In this paper, we determined the fundamental frequencies of isolated musical instrument samples by computing the correntropy functions. As the correntropy function depends on kernel methods, we demonstrated its performance using various kernel sizes. We presented the better resolution of the correntropy function than the conventional and the summary autocorrelation functions by calculating the full-width-at-half-maximum of the peaks of the functions. The superiority was confirmed for the samples of 20 different instruments based on the average width of the peaks. (C) 2011 Elsevier Ltd. All rights reserved.
  • Article
    Citation - WoS: 14
    Supercritical Ethanol Drying of Zinc Borates of 2zno Center Dot 3b(2)o(3)center Dot 3h(2)o and Zno Center Dot B2o3 Center Dot 2h(2)o
    (Elsevier Ltd., 2011) Gönen, Mehmet; Balköse, Devrim; Ülkü, Semra
    Supercritical ethanol (SCE) drying of zinc borates was investigated to obtain dry zinc borate nanoparticles and to elucidate possible chemical interactions between zinc borates and ethanol. Commercial and synthesized 2ZnO center dot 3B(2)O(3)center dot 3H(2)O and ZnO center dot B2O3 center dot 2H(2)O samples were dried by both conventional and SCE drying methods and the products were compared. Zinc borates were characterized using X-ray powder diffraction (XRD), thermo gravimetric analysis (TGA), Fourier transform infrared (FTIR) analysis, transmission electron microscopy (TEM), scanning electron microscopy (SEM) and helium pycnometer. Zn and B contents of samples were also determined by analytical titration. It was found that zinc borate of ZnO center dot B2O3 center dot 2H(2)O decomposed completely into zinc oxide and boric acid. However, zinc borate having oxide formula of 2ZnO center dot 3B(2)O(3)center dot 3H(2)O decomposed partially to form anhydrous zinc borate, zinc oxide, water and boric acid during the SCE drying carried out at 250 degrees C and 6.5 MPa. Boric acid and water were extracted from both of zinc borates by supercritical ethanol. The extraction of boric acid by ethanol in the SCE drying of zinc borates is an important result which can be utilized in the production of boric acid from water insoluble natural minerals, e.g. colemanite. The boric acid-ethanol solution could be directly utilized in the synthesis of ethyl borate. (C) 2011 Elsevier B.V. All rights reserved.
  • Article
    Citation - WoS: 16
    Multi-View Structure-From for Hybrid Camera Scenarios
    (Elsevier Ltd., 2012) Baştanlar, Yalın; Temizel, Alptekin; Yardımcı, Y.; Sturm, P.
    We describe a pipeline for structure-from-motion (SfM) with mixed camera types, namely omnidirectional and perspective cameras. For the steps of this pipeline, we propose new approaches or adapt the existing perspective camera methods to make the pipeline effective and automatic. We model our cameras of different types with the sphere camera model. To match feature points, we describe a preprocessing algorithm which significantly increases scale invariant feature transform (SIFT) matching performance for hybrid image pairs. With this approach, automatic point matching between omnidirectional and perspective images is achieved. We robustly estimate the hybrid fundamental matrix with the obtained point correspondences. We introduce the normalization matrices for lifted coordinates so that normalization and denormalization can be performed linearly for omnidirectional images. We evaluate the alternatives of estimating camera poses in hybrid pairs. A weighting strategy is proposed for iterative linear triangulation which improves the structure estimation accuracy. Following the addition of multiple perspective and omnidirectional images to the structure, we perform sparse bundle adjustment on the estimated structure by adapting it to use the sphere camera model. Demonstrations of the end-to-end multi-view SfM pipeline with the real images of mixed camera types are presented. (C) 2012 Elsevier B.V. All rights reserved.
  • Article
    Citation - WoS: 23
    Multiple Regression Analysis of Performance Parameters of a Binary Cycle Geothermal Power Plant
    (Elsevier Ltd., 2015) Karadas, Murat; Çelik, H. Murat; Serpen, Umran; Toksoy, Macit
    Regression analysis of a 7.35 MWe existing binary geothermal power plant is conducted using actual plant data to assess the plant performance. The thermo physical properties of geothermal fluid and ambient conditions, which are brine (geothermal water) temperature and flow rate, steam and NCGs (non-condensable gases) flow rates and ambient air temperature, directly affect power generation from a geothermal power plant. Generally, amount of power generated is calculated by deterministic formulations of thermodynamics. However, the data would be probabilistic because inputs may be measured by uncalibrated devices or some parameters may be neglected during the calculation. In these cases, the performance of power plant may be estimated by using regression analysis and then changing of plant performance may be monitored overtime. All measured parameters on DORA-1 Geothermal Power Plant from 2006 to 2012 and 49,411 hourly time series data are used in this study. A review of the available literature indicates this paper is the first study to focus on the prediction of power generation of a geothermal power plant by using multiple linear regression analysis. In this study, annual multiple linear regression models are developed to estimate the performance of a geothermal power plant. These models are tested by using classical assumptions of linear regressions and positive serial autocorrelation is found in all models. Autocorrelations are eliminated by using Orcutt-Cochran method. Although the performance model trends, from 2006 to 2008, are found to be close, the performance status of the plant is generally variable from year to year. According to annual regression models, since 2009, the plant performance started to decline with 270 kW(e) electricity generation capacity. The total degradation of the plant performance reached 760 kW(e) capacity by 2012. (C) 2014 Elsevier Ltd. All rights reserved.
  • Article
    Citation - WoS: 14
    Citation - Scopus: 14
    Dispersion Stability of Amine Modified Graphene Oxides and Their Utilization in Solution Processed Blue Oled
    (Elsevier Ltd., 2020) Diker, Halide; Bozkurt, Hakan; Varlıklı, Canan
    Graphene oxide (GO) was modified with amine derivatives which contain short (SACA) and long (LACA) alkyl chains. SACAs were n-propylamine, dipropylamine, propanolamine and LACAs were 2-ethylhexylamine, di-hexylamine, dioctylamine, and 1,12-diaminododecane and modified GOs (mGOs) were named as nPRYLA-GO, DPRYLA-GO, PRPOHA-GO, 2EHA-GO, DHA-GO, DOA-GO, and DADOD-GO, respectively. Amine modification resulted in approximately 2-folds of decrement in d-spacing of GO (8.36 angstrom). The C:O ratio, N% and d-spacing values were increased as the alkyl chain length of amine source increased. Except for PRPOHA-GO, all of the mGOs were thermally stable until 100 degrees C. All mGOs were dispersed in dimethylformamide (DMF), ethylene glycol (EG) and isopropyl alcohol (iPA). Regardless of their structural differences, all of the mGOs formed stable dispersions in DMF, whereas SACA-mGOs and LACA-mGOs were compatible with EG and iPA, respectively. DMF, EG and iPA dispersions of DOA-GO, 2EHA-GO, nPRYLA-GO and PRPOHA-GO were doped in Al4083 and prepared composites were utilized as hole transport layer in solution processed blue OLEDs. Ground state energy levels of Al4083:DOA-GO, Al4083:EG, Al4083:PRPOHA-GO, Al4083:2EHA-GO and Al4083:nPRYLA-GO extracted from their X-ray photoelectron spectra were 0.49 eV, 0.67 eV, 0.91 eV, 0.98 eV and 1.00 eV below the work function of ITO, respectively. Among all Al4083:mGOs, the best device performance was obtained with the device that contains Al4083:DOA-GO (in EG), which presented 1.6, 1.7 and 1.5 fold enhancements in current, power and external quantum efficiencies, respectively, compared to those of Al4083:EG based device.
  • Article
    Identification and Visualization of Cell Subgroups in Uncompensated Flow Cytometry Data
    (Elsevier Ltd., 2020) Güzel, Başak Esin Köktürk; Karaçalı, Bilge
    We propose a new method for identification and visualization of cell-sub groups in uncompensated multi-color flow cytometry data. The method combines annealing-based model-free expectation-maximization to identify cell sub-groups and joint diagonalization on clustered data for better visualization. The proposed method was evaluated on a real, publicly available 8-color flow cytometry dataset manually gated beforehand for lymphocytes. The results obtained in three separable scenarios indicate that the method accurately identifies cell subgroups while properly adjusting visualization of identified cell groups by reducing the spectral overlap between the different fluorochrome channels.
  • Article
    Citation - WoS: 7
    Citation - Scopus: 9
    Experimental Apparatus for Simultaneous Measurement of Triboelectricity and Triboluminescence
    (Elsevier Ltd., 2020) Arıca, Tuğçe A.; Topçu, Gökhan; Pala, Atamert; Demir, Mustafa Muammer
    Triboelectricity is a phenomenon caused by the accumulation of opposite electric charges on the surfaces of two different materials as a result of contact with each other. The phenomenon of emitting cold light when the material is subjected to physical deformation is called triboluminescence. This paper presents an experimental apparatus that allows simultaneous measurement of both triboelectricity and triboluminescence of a model composite system based on poly (vinylidene fluoride) (PVDF) and europium tetrakis (dibenzoylmethide) triethylammonium (EuD(4)TEA). While the former component was studied in contact-separation mode giving triboelectricity, the latter emits triboluminescence upon application of mechanical impact. The device was operated at varying range of frequencies from 0.5 to 4.8 Hz and the force in the range of 5.4-9.5 N. (C) 2019 Elsevier Ltd. All rights reserved.
  • Article
    Citation - WoS: 13
    Citation - Scopus: 14
    Soil Erosion Model Tested on Experimental Data of a Laboratory Flume With a Pre-Existing Rill
    (Elsevier Ltd., 2020) Aksoy, Hafzullah; Gedikli, Abdullah; Yılmaz, Murat; Eriş, Ebru; Ünal, N. Erdem; Yoon, Jaeyoung; Tayfur, Gökmen
    Prediction of sediment discharge transported within flow is strongly needed in order to provide measures for a well-established erosion control and water quality management practice. Initiated by runoff generation and erosion processes sediment transport is influenced by microtopography over hillslopes of hydrological watersheds. Consideration of microtopography provides more accurate results. In this study, a process-based two-dimensional rainfall-runoff mathematical model is coupled with erosion and sediment transport component. Both the rainfall-runoff and sediment transport components make simulations in rills and over interrill areas of a bare hillslope. Models at such fine resolution are rarely verified due to the complexity of rills and interrill areas. The model was applied on a data set compiled from laboratory experiments. Erosion flume was filled with granular sand to replace a bare soil. A longitudinal rill and an interrill area were pre-formed over the soil in the flume before the simulated rainfall exerted on. The flume was given both longitudinal and lateral slopes. The simulated rainfall was changed between 45 mm/h and 105 mm/h and exerted on granular uniform fine and medium sand in the erosion flume with longitudinal and lateral slopes both changing from 5% to 20%. Calibration of the model shows that it is able to produce good results in terms of sedigraphs, which suggest also that the model might be considered an important step to verify and improve watershed scale erosion and sediment transport models.