Pub Date : 2023-08-25DOI: 10.16984/saufenbilder.1266799
Yasemin BAYĞU
In this study, new water-soluble non-peripheral tetra-substituted zinc complex of phthalocyanine which is contain galactose moieties was synthesized. ZnPc-I was prepared from the galactose substituted dicyano compound by the cyclotetramerization reaction. This dicyano compound was synthesized by Click reaction between 3-(pent-4-yn-1-yloxy)phthalonitrile and 6-azido-6-deoxy1,2:3,4-di-O-isopropylidene-α-D-galactopyranose. ZnPc-II was obtained by hydrolysis of the protected isopropylidene groups in ZnPc-I in TFA and water mixture. The galactose linked Zn(II) phthalocyanine was achieved to dissolve in common polar solvents and water. All of the new compounds were characterized by elemental analysis, 1H NMR, 13C NMR, IR, UV–vis and MS spectral data.
本文合成了一种新的含半乳糖部分的酞菁非外周四取代锌水溶性配合物。以半乳糖取代双氰基化合物为原料，采用环四聚反应制备了锌氯化锌。以3-(戊-4-炔-1-氧基)邻苯二腈和6-叠氮-6-脱氧1,2:3,4-二- o-异丙基-α- d -半乳糖为原料，通过Click反应合成了该双氰化合物。ZnPc-II是由ZnPc-I中的保护异丙基在TFA和水混合物中水解得到的。实现了半乳糖连接锌(II)酞菁在一般极性溶剂和水中的溶解。所有新化合物都通过元素分析、1H NMR、13C NMR、IR、UV-vis和MS数据进行了表征。
{"title":"Synthesis and Characterization of Novel Water-Soluble Tetra-Substituted Zn(II) Phthalocyanine Containing Triazole and Galactose Moieties","authors":"Yasemin BAYĞU","doi":"10.16984/saufenbilder.1266799","DOIUrl":"https://doi.org/10.16984/saufenbilder.1266799","url":null,"abstract":"In this study, new water-soluble non-peripheral tetra-substituted zinc complex of phthalocyanine which is contain galactose moieties was synthesized. ZnPc-I was prepared from the galactose substituted dicyano compound by the cyclotetramerization reaction. This dicyano compound was synthesized by Click reaction between 3-(pent-4-yn-1-yloxy)phthalonitrile and 6-azido-6-deoxy1,2:3,4-di-O-isopropylidene-α-D-galactopyranose. ZnPc-II was obtained by hydrolysis of the protected isopropylidene groups in ZnPc-I in TFA and water mixture. The galactose linked Zn(II) phthalocyanine was achieved to dissolve in common polar solvents and water. All of the new compounds were characterized by elemental analysis, 1H NMR, 13C NMR, IR, UV–vis and MS spectral data.","PeriodicalId":21468,"journal":{"name":"Sakarya University Journal of Science","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-08-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135236041","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-08-07DOI: 10.16984/saufenbilder.1319166
I. Karadag
This article presents a novel approach for transforming architectural sketches into realistic images through the utilization of machine learning and image processing techniques. The proposed method leverages the Stable Diffusion model, a deep learning framework specifically designed for text-to-image generation. By integrating image processing algorithms into the workflow, the model gains a better understanding of the input sketches, resulting in visually coherent and meaningful output images. The study explores the application of the Stable Diffusion model in the context of architectural design, showcasing its potential to enhance the visualization process and support designers in generating accurate and compelling representations. The efficacy of the method is evaluated through qualitative and quantitative assessments, demonstrating its effectiveness in bridging the gap between initial sketches and photorealistic renderings. This research contributes to the growing body of knowledge on the integration of machine learning and image processing in architecture, providing insights and practical implications for design professionals and researchers in the field.
{"title":"Transforming Sketches into Realistic Images: Leveraging Machine Learning and Image Processing for Enhanced Architectural Visualization","authors":"I. Karadag","doi":"10.16984/saufenbilder.1319166","DOIUrl":"https://doi.org/10.16984/saufenbilder.1319166","url":null,"abstract":"This article presents a novel approach for transforming architectural sketches into realistic images through the utilization of machine learning and image processing techniques. The proposed method leverages the Stable Diffusion model, a deep learning framework specifically designed for text-to-image generation. By integrating image processing algorithms into the workflow, the model gains a better understanding of the input sketches, resulting in visually coherent and meaningful output images. The study explores the application of the Stable Diffusion model in the context of architectural design, showcasing its potential to enhance the visualization process and support designers in generating accurate and compelling representations. The efficacy of the method is evaluated through qualitative and quantitative assessments, demonstrating its effectiveness in bridging the gap between initial sketches and photorealistic renderings. This research contributes to the growing body of knowledge on the integration of machine learning and image processing in architecture, providing insights and practical implications for design professionals and researchers in the field.","PeriodicalId":21468,"journal":{"name":"Sakarya University Journal of Science","volume":"28 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-08-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83764236","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-08-03DOI: 10.16984/saufenbilder.1256743
Nihat PAMUK
The use of big data in deep neural networks has recently surpassed traditional machine learning techniques in many application areas. The main reasons for the use of deep neural networks are the increase in computational power made possible by graphics processing units and tensor processing units, and the new algorithms created by recurrent neural networks and CNNs. In addition to traditional machine learning methods, deep neural networks have applications in anticipating electricity load. Using a real dataset for one-step forecasting, this article compares three deep learning algorithms for short-term power load forecasting: LSTM, GRUs, and CNN. The statistics come from the Turkish city of Zonguldak and include hourly electricity usage loads and temperatures over a period of three years, commencing in 2019 and ending in 2021. The mean absolute percentage error is used to compare the performances of the techniques. Forecasts are made for twelve representative months from each season. The main reason for the significant deviations in the forecasts for January, May, September, and December is the presence of religious and national holidays in these months. This was solved by adding the information obtained from religious and national holidays to the modeling. This is not to say that CNNs are not good at capturing long-term dependencies and modeling sequential data. In all experiments, LSTM, GRUs and encoder-decoder LSTM outperformed simple CNN designs. In the future, these new architectural methods can be applied to long- or short-term electric charge predictions and their results can be compared to LSTM, GRUs and their variations.
{"title":"Short-Term Electrical Load Forecasting in Power Systems Using Deep Learning Techniques","authors":"Nihat PAMUK","doi":"10.16984/saufenbilder.1256743","DOIUrl":"https://doi.org/10.16984/saufenbilder.1256743","url":null,"abstract":"The use of big data in deep neural networks has recently surpassed traditional machine learning techniques in many application areas. The main reasons for the use of deep neural networks are the increase in computational power made possible by graphics processing units and tensor processing units, and the new algorithms created by recurrent neural networks and CNNs. In addition to traditional machine learning methods, deep neural networks have applications in anticipating electricity load. Using a real dataset for one-step forecasting, this article compares three deep learning algorithms for short-term power load forecasting: LSTM, GRUs, and CNN. The statistics come from the Turkish city of Zonguldak and include hourly electricity usage loads and temperatures over a period of three years, commencing in 2019 and ending in 2021. The mean absolute percentage error is used to compare the performances of the techniques. Forecasts are made for twelve representative months from each season. The main reason for the significant deviations in the forecasts for January, May, September, and December is the presence of religious and national holidays in these months. This was solved by adding the information obtained from religious and national holidays to the modeling. This is not to say that CNNs are not good at capturing long-term dependencies and modeling sequential data. In all experiments, LSTM, GRUs and encoder-decoder LSTM outperformed simple CNN designs. In the future, these new architectural methods can be applied to long- or short-term electric charge predictions and their results can be compared to LSTM, GRUs and their variations.","PeriodicalId":21468,"journal":{"name":"Sakarya University Journal of Science","volume":"86 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-08-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136382697","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-07-31DOI: 10.16984/saufenbilder.1304365
A. Kabataş
Eigenfunctions for Sturm-Liouville problems associated with polynomially eigenparameter dependent boundary conditions are obtained. The Weyl m-functions of the related problems are investigated.
获得了与多项式特征参数相关边界条件有关的 Sturm-Liouville 问题的特征函数。研究了相关问题的 Weyl m 函数。
{"title":"Sturm-Liouville Problems with Polynomially Eigenparameter Dependent Boundary Conditions","authors":"A. Kabataş","doi":"10.16984/saufenbilder.1304365","DOIUrl":"https://doi.org/10.16984/saufenbilder.1304365","url":null,"abstract":"Eigenfunctions for Sturm-Liouville problems associated with polynomially eigenparameter dependent boundary conditions are obtained. The Weyl m-functions of the related problems are investigated.","PeriodicalId":21468,"journal":{"name":"Sakarya University Journal of Science","volume":"43 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139353099","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-07-30DOI: 10.16984/saufenbilder.1201851
Nihan AYDEMİR
Herein a one-step, cost-effective, chemical-free, and versatile graphene fabrication by employing a CO2 laser is presented. A cost-effective desktop laser, compared to expensive and bulky lasers reported in the literature, is utilized for the conversion of polyimide films to graphene. Optimization of the fabrication is enabled by the examination of laser parameters such as laser power and scanning speed. Also, various 2D pattern drawings and in-situ fabrication were realized by the Laser Draw software. Furthermore, characterization experiments such as Scanning Electron Microscopy (SEM), X-Ray Diffraction (XRD), Raman Spectroscopy, and X-Ray Photon Spectroscopy (XPS) were performed to prove the successive graphene fabrication.
{"title":"One-step and Cost-effective Conversion of Polyimide to Graphene by Utilizing a Desktop Laser","authors":"Nihan AYDEMİR","doi":"10.16984/saufenbilder.1201851","DOIUrl":"https://doi.org/10.16984/saufenbilder.1201851","url":null,"abstract":"Herein a one-step, cost-effective, chemical-free, and versatile graphene fabrication by employing a CO2 laser is presented. A cost-effective desktop laser, compared to expensive and bulky lasers reported in the literature, is utilized for the conversion of polyimide films to graphene. Optimization of the fabrication is enabled by the examination of laser parameters such as laser power and scanning speed. Also, various 2D pattern drawings and in-situ fabrication were realized by the Laser Draw software. Furthermore, characterization experiments such as Scanning Electron Microscopy (SEM), X-Ray Diffraction (XRD), Raman Spectroscopy, and X-Ray Photon Spectroscopy (XPS) were performed to prove the successive graphene fabrication.","PeriodicalId":21468,"journal":{"name":"Sakarya University Journal of Science","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135398536","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-07-30DOI: 10.16984/saufenbilder.1302376
Ece Gökçe ÇAKIR-DİNDAR, Behlül Güler
Turkey is expected to be affected considerably in future adverse climatic conditions. Plant species are one of the most vulnerable to these climatic changes. In this study, we aimed to investigate current and future potential distribution areas of Ferulago humilis Boiss., which is an endemic vascular plant species for Turkey, using CMIP5 projected to year 2070. For this purpose, we obtained occurence data (presence-only) from Global Biodiversity Information Facility (GBIF). Regarding bioclimatic data we used WorldClim dataset with 10 km2 resolution. Using both plant occurrence and bioclimatic data, we performed species distribution modelling analysis. We used two methods namely Boosted Regression Trees (BRT) and Random Forest (RF). Additionally, we used bootstrapping method as partitioning resampling for all analysis. Our analysis has showed that potential distribution areas of the species has slightly changed for the future projection. The species movement is towards slightly upwards as higher latitudes. We believe that our study shows the importance and relevance of the endemic species in the scope of species distribution models for plant conservation topics.
{"title":"An endemic vascular plant species for Turkey, Ferulago humilis Boiss., and its potential distribution areas","authors":"Ece Gökçe ÇAKIR-DİNDAR, Behlül Güler","doi":"10.16984/saufenbilder.1302376","DOIUrl":"https://doi.org/10.16984/saufenbilder.1302376","url":null,"abstract":"Turkey is expected to be affected considerably in future adverse climatic conditions. Plant species are one of the most vulnerable to these climatic changes. In this study, we aimed to investigate current and future potential distribution areas of Ferulago humilis Boiss., which is an endemic vascular plant species for Turkey, using CMIP5 projected to year 2070. For this purpose, we obtained occurence data (presence-only) from Global Biodiversity Information Facility (GBIF). Regarding bioclimatic data we used WorldClim dataset with 10 km2 resolution. Using both plant occurrence and bioclimatic data, we performed species distribution modelling analysis. We used two methods namely Boosted Regression Trees (BRT) and Random Forest (RF). Additionally, we used bootstrapping method as partitioning resampling for all analysis. Our analysis has showed that potential distribution areas of the species has slightly changed for the future projection. The species movement is towards slightly upwards as higher latitudes. We believe that our study shows the importance and relevance of the endemic species in the scope of species distribution models for plant conservation topics.","PeriodicalId":21468,"journal":{"name":"Sakarya University Journal of Science","volume":"38 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139353864","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-07-27DOI: 10.16984/saufenbilder.1286774
Abdallah MOUSSA YAYA, Y. Uyaroğlu
In this paper, the chaotic behavior of permanent magnet synchronous motor is investigated by analyzing Lyapunov exponents and equilibrium points. Then, the control of the permanent magnet synchronous motor, which presents a chaotic behavior under certain parameters, was studied using a simple controller. The resolution method adopted is that of the single-state feedback controller. The resulting control law makes it possible to stabilize the state of the system around a reference state in the presence of uncertainties on the parameters and without the system exhibiting chaotic behavior. Numerical simulations were made in MATLAB to demonstrate the application of the proposed method.
{"title":"Analysis and Control of Chaos in Permanent Magnet Synchronous Motor","authors":"Abdallah MOUSSA YAYA, Y. Uyaroğlu","doi":"10.16984/saufenbilder.1286774","DOIUrl":"https://doi.org/10.16984/saufenbilder.1286774","url":null,"abstract":"In this paper, the chaotic behavior of permanent magnet synchronous motor is investigated by analyzing Lyapunov exponents and equilibrium points. Then, the control of the permanent magnet synchronous motor, which presents a chaotic behavior under certain parameters, was studied using a simple controller. The resolution method adopted is that of the single-state feedback controller. The resulting control law makes it possible to stabilize the state of the system around a reference state in the presence of uncertainties on the parameters and without the system exhibiting chaotic behavior. Numerical simulations were made in MATLAB to demonstrate the application of the proposed method.","PeriodicalId":21468,"journal":{"name":"Sakarya University Journal of Science","volume":"26 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139354324","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-07-25DOI: 10.16984/saufenbilder.1260438
Şerife Yilmaz, Birgül Aksoy
In this paper for linear discrete time switched systems, the problem of existence of a common solution to Stein inequalities is considered. A sufficient condition for robust Schur stability of a matrix polyope by using Schur complement lemma and a necessary and sufficient condition for the existence of a common solution of Stein equation are given. As in the case of continuous time systems, the problem of existence of a common solution is reduced to a convex optimization one. An efficient solution algorithm which requires solving a linear minimax problem at each step is suggested. The algorithm is supported with a number of examples from the literature and observed that the method desired results fastly.
{"title":"Common Solutions to Stein Inequalities","authors":"Şerife Yilmaz, Birgül Aksoy","doi":"10.16984/saufenbilder.1260438","DOIUrl":"https://doi.org/10.16984/saufenbilder.1260438","url":null,"abstract":"In this paper for linear discrete time switched systems, the problem of existence of a common solution to Stein inequalities is considered. A sufficient condition for robust Schur stability of a matrix polyope by using Schur complement lemma and a necessary and sufficient condition for the existence of a common solution of Stein equation are given. As in the case of continuous time systems, the problem of existence of a common solution is reduced to a convex optimization one. An efficient solution algorithm which requires solving a linear minimax problem at each step is suggested. The algorithm is supported with a number of examples from the literature and observed that the method desired results fastly.","PeriodicalId":21468,"journal":{"name":"Sakarya University Journal of Science","volume":"27 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139355455","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-07-22DOI: 10.16984/saufenbilder.1264392
Muhterem Koç, E. Taşçi
The evaluation of industrial wastes in the ceramics industry has been the subject of research studies in recent years. This study investigated the use of steel slag as a colouring pigment in ceramic glazes. The colour effects of 45 compositions created with a triple-phase diagram with steel slag, CoO, and Cr2O3 on low-temperature glaze composition were determined. The microstructural evaluation of the selected colours by SEM and EDX analysis were carried out.The prepared glaze compositions were applied by pouring on the high silica ceramic body. Glazed tiles were sintered in a muffle furnace at 950 ℃ and then L*a*b colour and gloss brightness values were measured. By using steel slags instead of Fe2O3, black glazes were obtained in the triple diagram.
{"title":"Investigation of the Usage Properties of Steel Slag as Pigment in Low-Temperature Glaze","authors":"Muhterem Koç, E. Taşçi","doi":"10.16984/saufenbilder.1264392","DOIUrl":"https://doi.org/10.16984/saufenbilder.1264392","url":null,"abstract":"The evaluation of industrial wastes in the ceramics industry has been the subject of research studies in recent years. This study investigated the use of steel slag as a colouring pigment in ceramic glazes. The colour effects of 45 compositions created with a triple-phase diagram with steel slag, CoO, and Cr2O3 on low-temperature glaze composition were determined. The microstructural evaluation of the selected colours by SEM and EDX analysis were carried out.The prepared glaze compositions were applied by pouring on the high silica ceramic body. Glazed tiles were sintered in a muffle furnace at 950 ℃ and then L*a*b colour and gloss brightness values were measured. By using steel slags instead of Fe2O3, black glazes were obtained in the triple diagram.","PeriodicalId":21468,"journal":{"name":"Sakarya University Journal of Science","volume":"15 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139356526","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Over the past decade, extensive research has focused on the extraction of 3D human poses from images. The existing datasets must effectively address common challenges related to pose estimation. These datasets serve as valuable resources for evaluating, informing, and comparing different models. Deep learning models have gained widespread adoption and have demonstrated impressive performance across various domains of research and engineering. In this study, we employ these models, leveraging the open-source libraries OpenCV and Keras. To enhance the diversity and complexity of the training and testing process, we utilize the MPII Human Pose dataset. Specifically, we train and test the ResNet50 and VGG16 models using this dataset, resulting in significant improvements. The model's performance is evaluated based on the validation rate of the dataset and the accuracy of our model was 88.8 percent for VGG16 and 67 percent for ResNet50.
{"title":"Estimating Human Poses Using Deep Learning Models","authors":"Fırgat Muradli, Serap Cakar, Feyza Cerezci, Guluzar Cit","doi":"10.16984/saufenbilder.1311198","DOIUrl":"https://doi.org/10.16984/saufenbilder.1311198","url":null,"abstract":"Over the past decade, extensive research has focused on the extraction of 3D human poses from images. The existing datasets must effectively address common challenges related to pose estimation. These datasets serve as valuable resources for evaluating, informing, and comparing different models. Deep learning models have gained widespread adoption and have demonstrated impressive performance across various domains of research and engineering. In this study, we employ these models, leveraging the open-source libraries OpenCV and Keras. To enhance the diversity and complexity of the training and testing process, we utilize the MPII Human Pose dataset. Specifically, we train and test the ResNet50 and VGG16 models using this dataset, resulting in significant improvements. The model's performance is evaluated based on the validation rate of the dataset and the accuracy of our model was 88.8 percent for VGG16 and 67 percent for ResNet50.","PeriodicalId":21468,"journal":{"name":"Sakarya University Journal of Science","volume":"34 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81494344","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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