This paper studies a reduced-order model based on proper orthogonal decomposition (POD) for the incompressible Navier-Stokes equations. The difficulties resulting from nonlinearity are eliminated using the variational multiscale (VMS) method. The time filter is added as a separate post-processing step to the standard VMS-POD approximation. This increases the accuracy and presents a better energy preserving scheme without adding additional computational complexity. Theoretical analyses of the method are given. Numerical experiments are presented to verify the theoretical findings.
{"title":"An Adaptive Time Filtered Backward Euler Method for Reduced-Order Models of Incompressible Flows","authors":"Fatma GÜLER EROĞLU","doi":"10.35378/gujs.904961","DOIUrl":"https://doi.org/10.35378/gujs.904961","url":null,"abstract":"This paper studies a reduced-order model based on proper orthogonal decomposition (POD) for the incompressible Navier-Stokes equations. The difficulties resulting from nonlinearity are eliminated using the variational multiscale (VMS) method. The time filter is added as a separate post-processing step to the standard VMS-POD approximation. This increases the accuracy and presents a better energy preserving scheme without adding additional computational complexity. Theoretical analyses of the method are given. Numerical experiments are presented to verify the theoretical findings.","PeriodicalId":12615,"journal":{"name":"gazi university journal of science","volume":null,"pages":null},"PeriodicalIF":0.9,"publicationDate":"2022-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46722405","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}
In this paper, we introduce the class of demi-order norm continuous operators on a Banach lattice. We study the relationship between order-to-norm continuous operators and demi-order norm continuous operators. We also investigate some properties of the class of demi-order norm continuous operators, and it is given a characterization of a Banach lattice with order continuous by the term of the demi-order norm continuous operators.
{"title":"The Class of Demi-Order Norm Continuous Operators","authors":"Gül Sinem Keleş, B. Altın","doi":"10.35378/gujs.1098503","DOIUrl":"https://doi.org/10.35378/gujs.1098503","url":null,"abstract":"In this paper, we introduce the class of demi-order norm continuous operators on a Banach lattice. We study the relationship between order-to-norm continuous operators and demi-order norm continuous operators. We also investigate some properties of the class of demi-order norm continuous operators, and it is given a characterization of a Banach lattice with order continuous by the term of the demi-order norm continuous operators.","PeriodicalId":12615,"journal":{"name":"gazi university journal of science","volume":null,"pages":null},"PeriodicalIF":0.9,"publicationDate":"2022-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42754933","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}
Feature selection is a data preprocessing method used to reduce the number of features in the datasets. Feature selection techniques search the entire feature space to find an optimal feature set that is free of redundant and irrelevant features. Reducing the dimensionality of a dataset by removing redundant and irrelevant features has a pivotal role in improving the performance, i.e., accuracy, of inductive learners and building simple models. Thus, feature selection is an imperative task of machine learning. The apparent need for feature selection raised considerable interest and became an important research topic in a wide range of fields, including bioinformatics, text classification, image recognition, and computer vision. As a result, a large pool of feature selection methods has been proposed, and a considerable amount of literature has been published on feature selection. The quality of feature selection algorithms is measured not only by the performance of the features they prefer but also by their stability. Therefore, this study focuses on two topics: feature selection and feature selection stability. In the pages that follow, general concepts and methods of feature selection are discussed and then an overview of feature selection stability and stability measures are given.
{"title":"A Comprehensive Review of Feature Selection and Feature Selection Stability in Machine Learning","authors":"Mustafa Büyükkeçeci̇, M. C. Okur","doi":"10.35378/gujs.993763","DOIUrl":"https://doi.org/10.35378/gujs.993763","url":null,"abstract":"Feature selection is a data preprocessing method used to reduce the number of features in the datasets. Feature selection techniques search the entire feature space to find an optimal feature set that is free of redundant and irrelevant features. Reducing the dimensionality of a dataset by removing redundant and irrelevant features has a pivotal role in improving the performance, i.e., accuracy, of inductive learners and building simple models. Thus, feature selection is an imperative task of machine learning. The apparent need for feature selection raised considerable interest and became an important research topic in a wide range of fields, including bioinformatics, text classification, image recognition, and computer vision. As a result, a large pool of feature selection methods has been proposed, and a considerable amount of literature has been published on feature selection. The quality of feature selection algorithms is measured not only by the performance of the features they prefer but also by their stability. Therefore, this study focuses on two topics: feature selection and feature selection stability. In the pages that follow, general concepts and methods of feature selection are discussed and then an overview of feature selection stability and stability measures are given.","PeriodicalId":12615,"journal":{"name":"gazi university journal of science","volume":null,"pages":null},"PeriodicalIF":0.9,"publicationDate":"2022-09-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45172651","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}
Özer Eroğlu, Ezgi AKTAŞ POTUR, M. Kabak, Cevriye Gencer
Renewable energy sources are vital for environmental sustainability. With the damage of fossil fuels to nature and the depletion of fossil fuels over time, energy production from clean and inexhaustible renewable energy sources has become widespread. Wind energy, one of the renewable energy sources, is a clean energy source that does not emit any harmful waste to the environment. Wind energy is a low-cost energy source that is mostly used for electricity generation. Criteria such as wind speed, turbine structure, and the characteristics of the areas where the wind turbines will be located are effective on the amount of energy to be produced. In this study, a comprehensive review of the studies using MCDM methods related to wind energy is made. In the manner of the statistical data obtained from the 97 studies examined, it has been observed that the wind energy investments of the countries and the scientific publications made in these countries do not progress linearly with each other. The fact that countries have different wind energy potentials and the difference in the countries' interest in renewable energy sources is thought to be effective in this regard. While there are articles in the literature in which studies on renewable energy sources are discussed together with MCDM methods, there is no comprehensive review study in which wind energy and MCDM methods are discussed together. According to our best knowledge, this is the first study to comprehensively evaluate wind energy studies in terms of multi-criteria decision-making methods. With this study, a framework has been presented for subsequent studies on the application of MCDM methods in wind energy.
{"title":"A literature review: Wind energy within the scope of MCDM methods","authors":"Özer Eroğlu, Ezgi AKTAŞ POTUR, M. Kabak, Cevriye Gencer","doi":"10.35378/gujs.1090337","DOIUrl":"https://doi.org/10.35378/gujs.1090337","url":null,"abstract":"Renewable energy sources are vital for environmental sustainability. With the damage of fossil fuels to nature and the depletion of fossil fuels over time, energy production from clean and inexhaustible renewable energy sources has become widespread. Wind energy, one of the renewable energy sources, is a clean energy source that does not emit any harmful waste to the environment. Wind energy is a low-cost energy source that is mostly used for electricity generation. Criteria such as wind speed, turbine structure, and the characteristics of the areas where the wind turbines will be located are effective on the amount of energy to be produced. In this study, a comprehensive review of the studies using MCDM methods related to wind energy is made. In the manner of the statistical data obtained from the 97 studies examined, it has been observed that the wind energy investments of the countries and the scientific publications made in these countries do not progress linearly with each other. The fact that countries have different wind energy potentials and the difference in the countries' interest in renewable energy sources is thought to be effective in this regard. While there are articles in the literature in which studies on renewable energy sources are discussed together with MCDM methods, there is no comprehensive review study in which wind energy and MCDM methods are discussed together. According to our best knowledge, this is the first study to comprehensively evaluate wind energy studies in terms of multi-criteria decision-making methods. With this study, a framework has been presented for subsequent studies on the application of MCDM methods in wind energy.","PeriodicalId":12615,"journal":{"name":"gazi university journal of science","volume":null,"pages":null},"PeriodicalIF":0.9,"publicationDate":"2022-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42044956","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}
Tissue engineering (TE) enables developing functional synthetic substitutes to be replaced with damaged tissues and organs instead of the use of auto or allografts. A wide range of biomaterials is currently in use as TE scaffolds. Among these materials, naturally-sourced ones are favourable due to being highly biocompatible and supporting cell growth and function whereas synthetic ones are advantageous because of the high tunability on mechanical and physical properties as well as being easy to process. Alongside the advantages of synthetic polymers, they mostly show hydrophobic behaviour that limits biomaterial-cell interaction and consequently the functioning of the developed TE constructs. In this study, we assessed the impact of L-Ascorbic acid 2-phosphate (AA2P) on improving the culture of human dermal fibroblasts (HDFs) growing on a three-dimensional (3D) scaffold made of polycaprolactone by emulsion templating technique. Our results demonstrated that AA2P enhances the metabolic activity, growth, and collagen production of HDFs when supplemented to their growth medium at 50 µg/mL concentration. It showed a great potential to be used as a growth medium supplement to circumvent the disadvantages of culturing human cells on a synthetic biomaterial that is not favoured in default. AA2P's potential to improve cell growth and collagen deposition may prove an effective way to culture human cells on 3D PCL PolyHIPE scaffolds for various TE applications.
{"title":"Ascorbic Acid Enhances the Metabolic Activity, Growth and Collagen Production of Human Dermal Fibroblasts Growing in Three-dimensional (3D) Culture","authors":"Serkan Dikici","doi":"10.35378/gujs.1040277","DOIUrl":"https://doi.org/10.35378/gujs.1040277","url":null,"abstract":"Tissue engineering (TE) enables developing functional synthetic substitutes to be replaced with damaged tissues and organs instead of the use of auto or allografts. A wide range of biomaterials is currently in use as TE scaffolds. Among these materials, naturally-sourced ones are favourable due to being highly biocompatible and supporting cell growth and function whereas synthetic ones are advantageous because of the high tunability on mechanical and physical properties as well as being easy to process. Alongside the advantages of synthetic polymers, they mostly show hydrophobic behaviour that limits biomaterial-cell interaction and consequently the functioning of the developed TE constructs. In this study, we assessed the impact of L-Ascorbic acid 2-phosphate (AA2P) on improving the culture of human dermal fibroblasts (HDFs) growing on a three-dimensional (3D) scaffold made of polycaprolactone by emulsion templating technique. Our results demonstrated that AA2P enhances the metabolic activity, growth, and collagen production of HDFs when supplemented to their growth medium at 50 µg/mL concentration. It showed a great potential to be used as a growth medium supplement to circumvent the disadvantages of culturing human cells on a synthetic biomaterial that is not favoured in default. AA2P's potential to improve cell growth and collagen deposition may prove an effective way to culture human cells on 3D PCL PolyHIPE scaffolds for various TE applications.","PeriodicalId":12615,"journal":{"name":"gazi university journal of science","volume":null,"pages":null},"PeriodicalIF":0.9,"publicationDate":"2022-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46138010","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}
Abdul Ahad Abro, Mir Sajjad Hussain Talpur, A. Jumani
Natural Language Processing (NLP) is the computerized approach to analysing text using both structured and unstructured data. NLP is a simple, empirically powerful, and reliable approach. It achieves state-of-the-art performance in language processing tasks like Semantic Search (SS), Machine Translation (MT), Text Summarization (TS), Sentiment Analyser (SA), Named Entity Recognition (NER) and Emotion Detection (ED). NLP is expected to be the technology of the future, based on current technology deployment and adoption. The primary question is: What does NLP have to offer in terms of reality, and what are the prospects? There are several problems to be addressed with this developing method, as it must be compatible with future technology. In this paper, the benefits, challenges and limitations of this innovative paradigm along with the areas open to do research are shown.
{"title":"Natural Language Processing Challenges and Issues: A Literature Review","authors":"Abdul Ahad Abro, Mir Sajjad Hussain Talpur, A. Jumani","doi":"10.35378/gujs.1032517","DOIUrl":"https://doi.org/10.35378/gujs.1032517","url":null,"abstract":"Natural Language Processing (NLP) is the computerized approach to analysing text using both structured and unstructured data. NLP is a simple, empirically powerful, and reliable approach. It achieves state-of-the-art performance in language processing tasks like Semantic Search (SS), Machine Translation (MT), Text Summarization (TS), Sentiment Analyser (SA), Named Entity Recognition (NER) and Emotion Detection (ED). NLP is expected to be the technology of the future, based on current technology deployment and adoption. The primary question is: What does NLP have to offer in terms of reality, and what are the prospects? There are several problems to be addressed with this developing method, as it must be compatible with future technology. In this paper, the benefits, challenges and limitations of this innovative paradigm along with the areas open to do research are shown.","PeriodicalId":12615,"journal":{"name":"gazi university journal of science","volume":null,"pages":null},"PeriodicalIF":0.9,"publicationDate":"2022-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49537754","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}
Global energy crises, limited energy resources and damage to nature in energy production have pushed humanity to use energy more efficiently and renewable energy sources. In this context, the importance of implementing energy efficiency and sustainable strategies in buildings which consumes high energy, has increased. In this study, the effect of luminaires substition with more efficient ones and electricity production by renewable energy sources on efficiency, sustainability and environment was examined on a sample education building.The calculations were made according to standards and equipment supplier data. As a result of this study, it has been found that the use of high-efficiency LED lighting instead of halogen or fluorescence luminaires in the engineering faculty building and laboratory of Hitit University, will reduce the electricity consumption by 68.2%. In addition, it has been deduced that the solar energy system to be installed on the faculty’s roof, will significantly reduce CO2 emission, and has a payback period of 5.5 years. In terms of gas emissions, a roof-mounted solar energy system is 21, 45, and 32 times less hazardous to the environment than natural gas, lignite, and fuel oil, respectively.
{"title":"Indoor Lighting Conversion Approach for Sustainable Energy Efficiency Applications in Campus Buildings: Hitit University Engineering Faculty Study","authors":"S. S. Seyitoglu, Ömer Faruk Tozlu, Emir Avcioglu","doi":"10.35378/gujs.1002669","DOIUrl":"https://doi.org/10.35378/gujs.1002669","url":null,"abstract":"Global energy crises, limited energy resources and damage to nature in energy production have pushed humanity to use energy more efficiently and renewable energy sources. In this context, the importance of implementing energy efficiency and sustainable strategies in buildings which consumes high energy, has increased. In this study, the effect of luminaires substition with more efficient ones and electricity production by renewable energy sources on efficiency, sustainability and environment was examined on a sample education building.The calculations were made according to standards and equipment supplier data. As a result of this study, it has been found that the use of high-efficiency LED lighting instead of halogen or fluorescence luminaires in the engineering faculty building and laboratory of Hitit University, will reduce the electricity consumption by 68.2%. In addition, it has been deduced that the solar energy system to be installed on the faculty’s roof, will significantly reduce CO2 emission, and has a payback period of 5.5 years. In terms of gas emissions, a roof-mounted solar energy system is 21, 45, and 32 times less hazardous to the environment than natural gas, lignite, and fuel oil, respectively.","PeriodicalId":12615,"journal":{"name":"gazi university journal of science","volume":null,"pages":null},"PeriodicalIF":0.9,"publicationDate":"2022-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43138927","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}
In the paper, we introduce the class of trigonometrically convex functions and using the Hölder, Hölder-İşcan, Power-mean and Improved power-mean integral inequality together with an identity we establish some new inequalities of Ostrowski-type for functions whose second derivatives are trigonometrically convex which is a special case of h-convex functions. Some applications for special means are also given.
{"title":"New Ostrowski Type Inequalities for Trigonometrically Convex Functions Via Classical Integrals","authors":"Şenol Demir, S. Maden","doi":"10.35378/gujs.934699","DOIUrl":"https://doi.org/10.35378/gujs.934699","url":null,"abstract":"In the paper, we introduce the class of trigonometrically convex functions and using the Hölder, Hölder-İşcan, Power-mean and Improved power-mean integral inequality together with an identity we establish some new inequalities of Ostrowski-type for functions whose second derivatives are trigonometrically convex which is a special case of h-convex functions. Some applications for special means are also given.","PeriodicalId":12615,"journal":{"name":"gazi university journal of science","volume":null,"pages":null},"PeriodicalIF":0.9,"publicationDate":"2022-08-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49525675","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}
In this paper, a hydraulic motor controller is designed with a fuzzy supported integral sliding mode algorithm. The hydraulic system used in the study was modeled using artificial neural networks. Ability of handling nonlinearity of systems makes sliding mode controller to be a good choose for this system. The integral sliding mode controller can supply the robustness the system against the uncertainties. The basic idea of the proposed control method is to use fuzzy logic for the adaptation of the integral sliding mode control switching gain. Such adjustment reduces the chattering that is the most problem of classical sliding mode control. The equivalent control is computed using the radial basis function neural network. Simulation results of the presented method were compared with conventional PID controller results. It proved that it is more efficient to control the hydraulic system with integral fuzzy sliding mode control using neural network.
{"title":"Integral Fuzzy Sliding Mode Controller for Hydraulic System Using Neural Network Modelling","authors":"A. Ak, Erdal Yilmaz, Sevan Katrancioglu","doi":"10.35378/gujs.979370","DOIUrl":"https://doi.org/10.35378/gujs.979370","url":null,"abstract":"In this paper, a hydraulic motor controller is designed with a fuzzy supported integral sliding mode algorithm. The hydraulic system used in the study was modeled using artificial neural networks. Ability of handling nonlinearity of systems makes sliding mode controller to be a good choose for this system. The integral sliding mode controller can supply the robustness the system against the uncertainties. The basic idea of the proposed control method is to use fuzzy logic for the adaptation of the integral sliding mode control switching gain. Such adjustment reduces the chattering that is the most problem of classical sliding mode control. The equivalent control is computed using the radial basis function neural network. Simulation results of the presented method were compared with conventional PID controller results. It proved that it is more efficient to control the hydraulic system with integral fuzzy sliding mode control using neural network.","PeriodicalId":12615,"journal":{"name":"gazi university journal of science","volume":null,"pages":null},"PeriodicalIF":0.9,"publicationDate":"2022-08-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42511602","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}
Kübra AKSOY ÖZLER, M. L. Hidayetoğlu, Kemal Yıldırım
In this study, it was aimed to determine the effects of color hues and usage rates in interior spaces on the spatial perceptions of users. With this objective, a living space was designed in a manner that would have three different color hues (warm, neutral, and cool) and usage rates at 10%, 50%, and 100% and digital visuals were prepared. A total of 233 subjects participated in the research questionnaire and the data obtained was analyzed. In conclusion, it was determined that the living spaces which were colored at a low rate were perceived more positively according to the Semantic Differentiation Scales compared to the completely colored spaces. The spaces where warm and cool colors were used at the rate of 10% were perceived as more spacious and beautiful compared to the spaces where colors were used at the rates of 50% and 100%, whereas it was observed that when the values received were from positive to negative, they were listed in the form of 10% > 50% > 100%. Despite this, it was determined that the spaces where warm colors were used at the rates of 50% and 100% were perceived as more informal. Furthermore, it was observed that the differences in the color hues used on the walls and the usage rates were changing according to genders and professions. Accordingly, it was determined that especially females and interior architects preferred even more the spaces with warm colors having a low usage rate.
{"title":"Effect of Wall Colors and Usage Rates on The Perception of Interior Spaces","authors":"Kübra AKSOY ÖZLER, M. L. Hidayetoğlu, Kemal Yıldırım","doi":"10.35378/gujs.1120440","DOIUrl":"https://doi.org/10.35378/gujs.1120440","url":null,"abstract":"In this study, it was aimed to determine the effects of color hues and usage rates in interior spaces on the spatial perceptions of users. With this objective, a living space was designed in a manner that would have three different color hues (warm, neutral, and cool) and usage rates at 10%, 50%, and 100% and digital visuals were prepared. A total of 233 subjects participated in the research questionnaire and the data obtained was analyzed. In conclusion, it was determined that the living spaces which were colored at a low rate were perceived more positively according to the Semantic Differentiation Scales compared to the completely colored spaces. The spaces where warm and cool colors were used at the rate of 10% were perceived as more spacious and beautiful compared to the spaces where colors were used at the rates of 50% and 100%, whereas it was observed that when the values received were from positive to negative, they were listed in the form of 10% > 50% > 100%. Despite this, it was determined that the spaces where warm colors were used at the rates of 50% and 100% were perceived as more informal. Furthermore, it was observed that the differences in the color hues used on the walls and the usage rates were changing according to genders and professions. Accordingly, it was determined that especially females and interior architects preferred even more the spaces with warm colors having a low usage rate.","PeriodicalId":12615,"journal":{"name":"gazi university journal of science","volume":null,"pages":null},"PeriodicalIF":0.9,"publicationDate":"2022-08-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46299596","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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