Sürdürülebilir Kalkınma Amaçları
Yazarlar
- Bulut, Hasan(53)
- Baskonus, Haci Mehmet(52)
- Alataş, Mevlüt(39)
- Gul, Muhammet(39)
- Serdar, Osman(38)
- Güler, Ömer(37)
- Akkurt, Nevzat(31)
- Benzer, Fulya(30)
- Sulaiman, Tukur Abdulkadir(29)
- Yucesan, Melih(29)
- Zengin, Gokhan(29)
- Kocabaş, Mehmet(28)
- Topal, Murat(26)
- Batan, Nevzat(25)
- Kök, Mediha(25)
- Ezer, Tülay(24)
- Paksoy, Mehmet Yavuz(24)
- Yildirim, Ozal(23)
- Tekin, H.O.(22)
- Utku, Anıl(22)
- ALMisned, Ghada(21)
- Ince, Muharrem(21)
- Öbek, Erdal(21)
- Erten, Fusun(20)
- Aslan, Naim(19)
- Celik, Erkan(19)
- Yildirim, Numan(19)
- Cakilcioglu, Ugur(18)
- Dal, Murat(18)
- Dal, Nursel Alp(18)
- Sahin, Kazim(18)
- Özkaynak, Fatih(18)
- Aslan, Alper(17)
- Erata, Hüseyin(17)
- Orhan, Cemal(17)
- Ergen, Burhan(16)
- Tanyol, Mehtap(16)
- Demir, Yakup(15)
- Etli, Serkan(15)
- Işık, Erdem(15)
Yayınlar
- MakaleAçık Erişim2019Scopus SJRQ1Influence of ultrasound and osmotic dehydration pretreatments on drying and quality properties of persimmon fruit
Bozkir, Hamza; Rayman Ergün, Ahsen; Serdar, Emine; Metin, Gülhan; Baysal, Taner
In this study, the effect of the ultrasound and osmotic dehydration pretreatments before the convective drying of the persimmon fruit was assessed via their drying behavior and quality properties. Ultrasound-assisted osmotic dehydration (30 °C, 45 °Brix) was performed at 35 kHz for 10, 20, and 30 min. Afterward, samples were placed first in 45 then in 70 °Brix sucrose solutions; the solutions were next shaken at 100 rpm. The control group without ultrasound treatment dehydrated osmotically. The samples were dried in a tray drier at a temperature of 60 °C and an air velocity of 1.5 m/s. Ultrasound-assisted osmotic drying treatments increased water loss and sugar gain; moreover, the osmotic dehydration time was shorter than in the untreated group. The ultrasound-assisted osmotic dehydration demonstrated a significantly decreased drying time, increased drying rates, and a 21% increase in effective water diffusivity by 30 min. The ultrasound pretreated osmotic dehydration prior to hot air-drying decreased the total required drying time. The ultrasound-assisted osmotic dehydration affected the rehydration rate and total phenolic content significantly and there was no significant difference between the color change (ΔE, ΔC, and Hue°) of the ultrasound treatment (30 min) group and the untreated group.
AtıfScopus181WoS148OpenAlex178
İncele - MakaleAçık Erişim2019Scopus SJRQ3Study of validity, reliability in accordance with Turkey conditions in ego functions assessment scale
Durmaz, Yadigar Çevik; Ünsal, Gül
Purpose: The aim of the study is to conduct a reliability and validity study of the Ego Function Assessment (EFA) scale. Design and Methods: The study was conducted with a total of 426 participants, which included 213 patients with schizophrenia and a control group of 213 normal individuals. The Individual Information Form, EFA Scale, Wonderlic Personnel Test, Adjective Check List, and Symptom Check List were used for data collection. Finding: All the statistical procedures performed in the validity and reliability stages of the study show that the scale is a valid, reliable measurement tool for the Turkish culture. Practice Implications: In psychiatric nursing, the use of the EFA scale can be recommended for planning individual patient care, which involves the assessment of a patient's functional adjustment on the basis of their own ego profile.
AtıfScopus4WoS4OpenAlex4İncele - MakaleAçık Erişim2019Scopus SJRQ3On the new wave behavior to the Klein–Gordon–Zakharov equations in plasma physics
Baskonus, H.M.; Sulaiman, T.A.; Bulut, H.
In this study, the extended sinh-Gordon equation expansion method is used in constructing various exact solitary wave solutions to the Klein–Gordon–Zakharov equations. The Klein–Gordon–Zakharov equations is a nonlinear model describing the interaction between the Langmuir wave and the ion acoustic wave in a high-frequency plasma. We successfully construct some topological, non-topological, compound topological and non-topological, singular, compound singular solitons and singular periodic wave solutions. Under the choice of suitable values of the parameters, the 2D, 3D and contour graphs to some of the reported solutions are also plotted.
AtıfScopus61WoS58OpenAlex67İncele - MakaleAçık Erişim2019Scopus SJRQ2Geochemistry of the post-collisional Miocene mafic Tunceli Volcanics, Eastern Turkey: Implications for the nature of the mantle source and melting systematics
Aktağ, Alican; Önal, Ayten Öztüfekçi; Sayit, Kaan
The East Anatolian Accretionary Complex (EAAC) comprises an ideal example of post-collisional volcanism within the Africa-Eurasia collision zone. The Miocene mafic Tunceli Volcanics, as a part of this post-collisional volcanic system, are located in the western termination of EAAC. The mafic Tunceli Volcanics are characterized by mildly alkaline and tholeiitic basalts, in which olivine, clinopyroxene and plagioclase characterize the main mineralogy. The role of fractional crystallization (FC) and assimilation combined with fractional crystallization (AFC) processes appear to be negligible in the petrogenesis of the primitive mafic Tunceli Volcanics. Relative enrichment in large ion lithophile elements (LILE), Th and La over high field strength elements (HFSE) and heavy rare earth elements (HREE) suggest contribution from a metasomatized mantle source. The wide range of ratios displayed by these elements also calls for some asthenospheric input for the genesis of these volcanics. The metasomatizing agents can be attributed to a past subduction event, probably during the closure of Neotethys. Considering also the geophysical constraints, which limits the lithospheric thickness to about 70–75 km around the region, a melt mixing between lithospheric and asthenospheric melts generated at different depths appear to be an important process in the petrogenesis of these lavas. The combined geochemical and geophysical data, therefore, necessitate a geodynamic model with some remnant lithospheric mantle underlying the Eastern Anatolian region.
AtıfScopus10WoS11OpenAlex13İncele - MakaleAçık Erişim2019Scopus SJRQ3Artificial Neural Networks (a new statistical approach) method in length-weight relationships of Alburnus Mossulensis in Murat River (Palu-Elaziğ) Turkey
Ozcan, E.I.
Artificial Neural Networks (ANNs) is a reliable and alternative method used specially in the growth characteristics of some fish species. The purpose of this work was to compare with length-weight relationships and Artificial Neural Networks, the length-weight relation of 415 (232 female and 183 male) Alburnus mossulensis captured from Murat River between January 2018 and December 2018. The total length and the weight of the fish changed between 7.2-19.9 cm (12.81±0.095) and 3.24-40.6 g (13.51±0.30) respectively. The length-weight relationships were determined for females, males and all individuals as W=0.0097L2.812 (R2=0.95), W=0.0168L2.599 (R2=0.95) and W=0.0130L2.701 (R2=0.95), respectively. The growth type of A. mossulensis was negative allometric growth for female, male and all individuals. Regression analysis showed that length has high significantly correlation with weight (R = 0.97, R2 = 0.95, F1,413 = 79550.3, P <0.001) and 95% remain in weight was due to length remain. t-test results was used for the importance condition of the regression coefficients (t=89.193, P<0.01). Length-length relations were highly significant with R2 values greater than 0.97. The condition factor values were ranged between 0.430 and 0.975 for all individuals. According to the comparison of the results obtained with MAPE (%), ANNs provided better results than the LWRs. With this study, it can be seen that ANNs can be used as an alternative useful method for population parameters prediction.
AtıfScopus7WoS9OpenAlex6İncele - BildiriAçık Erişim2019Bigailab-4race-50K: Race Classification with a New Benchmark Dataset
Talo, Muhammed; Ay, Betul; Makinist, Semiha; Aydin, Galip
Face analysis is the process of extracting useful information such as gender, age and race from a face image. In this study, we look at ways of closing the gap between the capabilities of automatic facial recognition and race classification methods. For this purpose, we take the following two steps. (1) We offer a public race dataset consisting of labeled images to overcome the challenges of real-world race estimation tasks. (2) We present a benchmark study to find race of a human face using a pre-trained Convolutional Neural Network (CNN) model on the large-scale face dataset. We are able to achieve a remarkable accuracy of 97.6% in race classification task.
AtıfScopus3OpenAlex5İncele - MakaleAçık Erişim2019Scopus SJRQ3Antifungal and antibacterial effect of dodder (Cuscuta campestris) used for hepatitis treatment of mothers and newborn infants in Province Mardin in Turkey; [Türkiye'de Mardin ilindeki annelerin ve yenidoğan bebeklerin sarılık tedavisinde kullanılan küsküt'ün (Cuscuta campestris) antifungal ve antibakteriyel etkileri]
Erecevit Sönmez, Pınar; Kirbağ, Sevda; İnci, Şule
Dodder is a plant used for the hepatitis treatment in new born infants in and around Mardin. The aim of this research to determine the antifungal and antibacterial effects of traditionally used dooder is known as a regional folk remedy. Thus and so, the efficacy of the drug has been demonstrated by the inclusion of natural therapeutic antimicrobial agents such as anti-inflammatory and wound healing, including infectious diseases. The antimicrobial effects of these plant was analyzed against bacteria, yeast and dermatopyta fungi by the agar disc diffusion method. The nominal concentration of the plant to prevent from the development of microorganisms was detected with the broth microdulitions method. It was determined that it had sensitive and moderately sensitive antimicrobial effect against all of microrganisms (13-19.66 mm/inhibition zone), growth of tested microrganisms were inhibited at 50-6.25 µL.It is though that this natural herbal resource can light the way for treatment of several diseases and direct the next studies because of having the potential for being used as a new antimicrobial agent.
AtıfScopus7OpenAlex8TR Dizin5
İncele - MakaleAçık Erişim2019Scopus SJRQ1Convolutional neural networks for multi-class brain disease detection using MRI images
Talo, Muhammed; Yildirim, Ozal; Baloglu, Ulas Baran; Aydin, Galip; Acharya, U Rajendra
The brain disorders may cause loss of some critical functions such as thinking, speech, and movement. So, the early detection of brain diseases may help to get the timely best treatment. One of the conventional methods used to diagnose these disorders is the magnetic resonance imaging (MRI) technique. Manual diagnosis of brain abnormalities is time-consuming and difficult to perceive the minute changes in the MRI images, especially in the early stages of abnormalities. Proper selection of the features and classifiers to obtain the highest performance is a challenging task. Hence, deep learning models have been widely used for medical image analysis over the past few years. In this study, we have employed the AlexNet, Vgg-16, ResNet-18, ResNet-34, and ResNet-50 pre-trained models to automatically classify MR images in to normal, cerebrovascular, neoplastic, degenerative, and inflammatory diseases classes. We have also compared their classification performance with pre-trained models, which are the state-of-art architectures. We have obtained the best classification accuracy of 95.23% ± 0.6 with the ResNet-50 model among the five pre-trained models. Our model is ready to be tested with huge MRI images of brain abnormalities. The outcome of the model will also help the clinicians to validate their findings after manual reading of the MRI images.
AtıfScopus276OpenAlex301İncele - MakaleAçık Erişim2019Scopus SJRQ2Classification of multiple power quality events via compressed deep learning
Liu, Hui; Hussain, Fida; Yue, Shen; Yildirim, Ozal; Yawar, Sheikh Junaid
This paper presents a recently established compressed sensing (CS) and sparse autoencoder (SAE) based on deep learning (DL) method for classification of single and multiple power quality disturbances (PQDs). The CS technique is paying considerable attention in recent years due to below sampling rate comparatively Nyquist sampling. Initially, the CS technique is applied to extract the features of PQD waveforms. The extracted features are applied as inputs to the sparse autoencoder based on DL for classification of nine single and 22 combined classes of PQDs. The DL helps to remove a redundant feature and improves classification performance. Finally, backpropagation is applied to fine-tune the entire network. The effectiveness of the proposed algorithm has been tested with more than 6580 numbers of real and synthetic single and multiple PQD data, and the results are recorded. High correct classification rate is obtained with noise and without noise level. Noise level was considered from 20 to 50 dB. The performance of the proposed technique has been assessed by comparing the results against recently reported methods. Results show that the proposed CS- and SAE-based DL algorithms can be efficiently used for single and multiple PQDs classifications.
AtıfScopus28OpenAlex28İncele - MakaleAçık Erişim2019Scopus SJRQ3Fuzzy-logic-based robust speed control of switched reluctance motor for low and high speeds
Omaç, Zeki
Switched reluctance motor (SRM) is operated at high magnetic saturation to generate large torque. The flux linkage of SRM is a nonlinear function with phase current and rotor position because of the high magnetic saturation. Also, the performance of the speed controller for the SRM driver system can be negatively affected by noise, disturbances, and inertia of load torque. Therefore, the fuzzy speed controller for the SRM driver system was developed in this study. In addition, a dynamic model of SRM was simulated in Matlab/Simulink software. Based on the results obtained in this study, the speed of the SRM was controlled over a wide range of speeds including low and high speeds by the fuzzy speed controller. Furthermore, in simulation, the rotor speed was simulated depending on the reference speed. Moreover, the speed of the SRM was experimentally tested using the DS1103 Ace kit. Finally, simulation results were compared with experimental results and they were found to be consistent with each other.
AtıfScopus10WoS5OpenAlex9TR Dizin3İncele - MakaleAçık Erişim2019Scopus SJRQ3Possible indices for the assessment of ecological stream quality based on macroinvertebrates in Euphrates tributaries (Turkey)
Gültekin, Zuhal; Hellmann, Claudia; Aydin, Rahmi; Winkelmann, Carola
The aim of this study was to support the development of ecological stream quality assessment tools in order to provide a method for sustainable water management in Turkey. Therefore, we present two new or adapted indices based on benthic invertebrates. To develop and adapt the indices, 17 streams were studied and separated into three quality classes, which were supported by four community indices (EPT [%], EPTCBO [%], number of Individuals, evenness), and 23 taxa were identified as indicators for these three quality classes. As a first biological index, we adapted the Hindu Kush-Himalaya biotic score (HKHbios) to the Euphrates catchment by establishing a new and ecoregion-specific score list (Euph-Scores) by scoring 93 taxa depending on their distribution between the quality classes. Based on these scores, several average score per taxon values (ASPT value) were calculated. All ASPT values of the Euph-Scores separated the quality classes significantly. After a comparison of the different ASPT values we recommend to use the weighted ASPT, because the weighting enabled a sharper differentiation between the quality classes and named it Euphrates Biotic Score (EUPHbios). As a second biological index, we propose the proportion of habitat specialists. To calculate this index, a habitat score was developed by analysing the habitat preferences of several benthic invertebrates. Habitat score values were assigned to the 20 most common taxa from the streams in the best quality class (natural streams). The proportion of habitat specialists, identified using the new habitat score, differed significantly between the three quality classes, with higher values in natural streams than in polluted streams. In the light of the results, the presented methods appear to be suitable for developing a multi-metric index for assessment programs for the mountainous regions of the Middle East.
AtıfScopus8OpenAlex10İncele - MakaleAçık Erişim2019Scopus SJRQ2The epiphytic bryophyte vegetation of Kamilet Valley (Artvin, Turkey)
Alataş, Mevlüt; Batan, Nevzat; Ezer, Tülay
In this study, the vegetation of epiphytic bryophytes in the Kamilet Valley and its surroundings (Arhavi, Artvin) was investigated. The study area is located within the borders of the Eastern Black Sea Mountains and is one of the 122 important plant areas in Turkey. The investigation of epiphytic bryophyte communities was carried out in 2016 during different vegetation periods according to Braun-Blanquet’s phytosociological methodology. Phytosociological data obtained from 65 relevés were ordinated using detrended correspondence analysis (DECORANA) and classified using two-way indicator species analysis (TWINSPAN). Consequently, six epiphytic bryophyte communities new to Turkey were determined with TWINSPAN and DECORANA: Leucobryo-Tetraphidetum pellucidae, Anomodonto attenuati-Neckeretum crispae, Frullanio tamarisci-Exsertothecetum crispae, Ulotetum crispae, Anomodonto attenuati-Neckeretum crispae-leucodontetosum sciuroidis, and Ulotetum crispae-isothecietosum alopecuroidis. All syntaxa are presented by analyzing them in terms of their ecological and floristic classifications.
AtıfScopus10WoS9OpenAlex16TR Dizin10İncele - MakaleAçık Erişim2019Scopus SJRQ4Modeling approach with Box-Behnken design for optimization of Pb bioaccumulation parameters in Gammarus pulex (L., 1758)
Pala, Aysegul; Serdar, Osman; Ince, Muharrem; Onal, Ali
The aim of this research was to evaluate the suitability of Gammarus pulex (L., 1758), an amphipod crustacean, as a bio-monitor for lead (Pb). A Box– Behnken experimental approach combined with response surface modeling (RSM) and quadratic programming was employed to increase the knowledge about Pb2+ bioaccumulation in Gammarus pulex (L., 1758). Independent variables, such as temperature ranging from 18 to 22 ºC, contact time from 8 to 48 hours, and Pb2+ ion solution concentrations from 50 to 100 µg L-1, were studied and tested using analysis of variance (ANOVA). The standardized effects of the independent variables and their interactions on the dependent variable were also investigated according to a Pareto chart. The selected variables' optimum values were obtained by solving the quadratic regression model along with analyzing the response surface contour plots. Optimum experimental conditions were obtained at 22.0 ºC, contact time of 8 hours, and Pb concentration at 69.5 µg L-1. Based on the Box-Behnken design, the applied model is significant because the model F-value and R2 were obtained at 77.80 and 0.9901, respectively. Bioaccumulation of Pb was determined using electrothermal atomic absorption spectrometry (ETAAS). The obtained data suggest that G. pulex can be used as a Pb biomonitor.
AtıfScopus4WoS6OpenAlex6İncele - BildiriAçık Erişim2019A Hybrid recommendation system in co-Authorship networks
Aslan, Serpil; Kaya, Mehmet
Recommender systems are an important field that aim to direct users more quickly to their needs. Scientific research studies in academic field are mostly carried out by collaboration between scientists. Finding new collaborations and analyzing the quality of them are quite complicated situations. Therefore, developing a system that recommend strong collaborations for scientists can be an invaluable tool. In this study, we present a hybrid recommendation method that uses both collaborative filtering and a network-based method by examining the structure of the co-Authorship network that was created by using a real database of scientific articles in computer science. In the constructed network, the nodes represent scientists and links represent the coauthorship relationships. If two scientists in the network have been co-Author of at least one article, they are considered to be connected. Many of the present recommendation methods in this area take into account only the common neighbors of the nodes, while calculating the similarity of the node pairs in the network. To overcome these limited methods, we use the local community-based similarity indexes which also take into account the similarities between the common neighbors of the nodes. When the experimental results are examined, they prove the success of the proposed method.
AtıfScopus7WoS3OpenAlex6İncele - MakaleAçık Erişim2019Scopus SJRQ3Effect of the organophosphate insecticide chlorpyrifos exposure on oxidative stress and quality of Salmo coruhensis spermatozoa
Kutluyer, Filiz; Kocabaş, Mehmet; Erişir, Mine; Benzer, Fulya
The use of pesticides has been increasing along with increasing farming activities and has caused deleterious environmental impacts. Non-target organisms in particular, including fish, are affected by pesticides. In this work, the impacts of Chlorpyrifos (CPF) on sperm oxidative stress markers and sperm motility were investigated in vitro. CPF concentrations were 0 μg/L (control), 5 μg/L, 10 μg/L and 15 μg/L. Lipid peroxidation [malondialdehyde (MDA)], nonenzymatic antioxidants [glutathione (GSH)] and enzymatic [superoxide dismutase (SOD), glutathione peroxidase (GSH-Px) and catalase (CAT)] activities in sperm cells were examined for the determination of oxidative stress status. Our findings showed that motility and survival of sperm cells significantly decreased with exposure to Chlorpyrifos. Biochemical assays revealed that CAT activity and levels of MDA and, GSH increased in spermatozoa based on CPF concentration while activity of GSH-Px and SOD decreased. Consequently, spermatozoa were highly sensitive to CPF exposure. It can be deduced that CPF has the potential to disrupt sperm quality and to cause to oxidative stress in sperm cells of S. coruhensis.
AtıfScopus15WoS14OpenAlex13İncele - MakaleAçık Erişim2019Scopus SJRQ1An investigation on physical, structural and gamma ray shielding features of Dy3+ ions doped Telluroborate glasses
Sathiyapriya, G.; Marimuthu, K.; Sayyed, M.I.; Askin, A.; Agar, O.
Structural, physical and gamma ray shielding properties of Dy3+ doped telluroborate glasses have been discussed. The molar volume of the glasses is proportional to the TeO2 content. The FTIR studies investigate the expansion of TeO2 content and the dynamic change of tetrahedral [BO4] units into trigonal [BO3] units. Using the absorption spectra, optical band gap (Eg) and Urbach's energy (ΔE) values are calculated. The molar volume of oxygen (VO) and boron‑boron separation (<dB–B>) values are increasing while there is a fall in oxygen packing density (OPD) from 0% to 40% of TeO2. The ionic nature of the present glasses is analyzed from the bonding parameter (δ), optical basicity (Λth), covalent and ionic characteristic factors. The gamma photon attenuation investigated employing GEANT4 code. The transmission factor (TF) shows that 0TBD sample (0 wt% of TeO2) has the highest TF, while the 4TBD sample (40 wt% of TeO2) has the lowest TF.
AtıfScopus42İncele - MakaleAçık Erişim2019Scopus SJRQ2Predicting potential links by using strengthened projections in evolving bipartite networks
Aslan, Serpil; Kaya, Buket; Kaya, Mehmet
The link prediction problem can be used for predicting the link changes that are difficult to understand and costly in network science. So far, many different models have been proposed to predict links in the network. Most of the proposed models in the link prediction have focused on the unimodal networks. In this paper, we present a link prediction model that attempts to predict links in the large-scale bipartite networks. The proposed method consists of two stages: The first stage is the extraction of the potential link set. A limitation of the previous works that addressed the link prediction problem in bipartite networks is that only the structural properties of the projected networks that were transformed from the bipartite networks are used to extract the potential links. In this paper, in addition to the structural properties of the projected networks, we take into account the structural properties of the bipartite network. Also, we employ the strengthened projection network model instead of the classical projection network models. The second stage is the calculation of prediction score of each potential link. The classical proximity measures have several disadvantages in dynamic complex networks. When network evolution that considers valuable information between node pairs are ignored, the potential information source is not efficiently used in the link prediction. Therefore, in this stage, we propose a time-aware proximity measure based on social network evolution, instead of classical proximity measures using the current state of the network. To the best of our knowledge, this is the first effort that considers the evolution in bipartite networks. To test the performance of the proposed method, we made some experiments on two real networks that have different frame size. Experimental results show that the success of our method is promising.
AtıfScopus14WoS5OpenAlex9İncele - MakaleAçık Erişim2019Scopus SJRQ3Correlation between smartphone addiction and dysfunctional attitudes in nursing/midwifery students
Serin, Emine Kaplan; Durmaz, Yadigar Çevik; Polat, Hilal Türkmen
Purpose: The aim of this study is to determine the correlation between smartphone addiction and dysfunctional attitudes. Design and Methods: This descriptive study was conducted with the students of Nursing/Midwifery Department of a state university from March 01 to April 01, 2018. Findings: Participant students had a mean score of 27.25 ± 11.41 in smartphone addiction scale and a mean score of 27.96 ± 14.74 in dysfunctional attitudes scale. The number of students' friends was found to affect their problem solving skills. Loneliness levels of participant students affected their dysfunctional attitude scores. Practice Implications: It is highly important for our country to have sufficient knowledge of smartphone addiction, detect the dysfunctional attitudes and develop nursing care methods.
AtıfScopus11WoS10OpenAlex14İncele - MakaleAçık Erişim2019Scopus SJRQ1Surface morphology, spectroscopy, optical and conductivity properties of transparent poly(9-vinylcarbazole) thin films modified with graphene oxide
Aydin, Handan; Gündüz, Bayram; Aydin, Cihat
In this work, we synthesized the graphene oxide by Hummers method and prepared poly-N-vinylcarbazole (PVK)/graphene oxide (GO) nanocomposites. We investigated the SEM images, FTIR and UV spectroscopy and ac conductivity properties of PVK:wt% (0, 1, 5, 10, 15%) GO nanocomposites thin films. The PVK and PVK/GO nanocomposites are dominant in near ultraviolet region. The absorption band edge of the films of the PVK/GO nanocomposites varies from 3.077 to 3.175 eV, while the allowed optical band gap of the 0, 1, 5, 10 and 15% wt. GO + PVK nanocomposites varies from 2.97 to 3.30 eV. The optical band gap and refractive indices of the PVK can be changed with increasing the percentage by weight of graphene oxide. The single oscillator energy varies from 3.358 to 3.670 eV, while the dispersion energy varies from 6.404 to 6.970 eV. The graphene oxide has an important effect on the ac conductivity of the PVK. Obtained results show that the PVK material modified with graphene oxide is promising for electronic, optical and optoelectronic technology.
AtıfScopus20WoS20OpenAlex22İncele - MakaleAçık Erişim2019Scopus SJRQ2Optimization of microwave apple drying using response surface method; [Yanit yüzey metodu kullanarak mikrodalga ile elma kurutmanin optimizasyonu]
Yoǧurtçu, Hakan
In this study, the effects of microwave output power and slice thickness on microwave drying of apple slices were studied by using response surface method (RSM) in a modified domestic microwave oven. For experimental design, the central composite rotatable design approach was used. The values of response variables, effective diffusion coefficient, drying rate constant, color change, Hue angle, total drying time and energy consumption, were determined from the experiments performed under design conditions. It was seen that the obtained second order polynomial equations successfully represent the response variables. The results of analysis of variance (ANOVA) and response surface curves revealed that microwave output power and slice thickness were significantly effective on response variables. The effects of the independent variables on the responses and the significance level of these effects were evaluated statistically and the optimum drying conditions were determined for the aims of min color change, total drying time, energy consumption and max Hue angle. Verification experiments were performed with a maximum of 9.54% error at the recommended optimum test conditions. It has been shown that the response surface method can be successfully applied in the microwave drying of apples.
AtıfScopus6WoS5OpenAlex3TR Dizin3İncele