Scopus İndeksli Yayınlar Koleksiyonu

Permanent URI for this collectionhttps://hdl.handle.net/20.500.14901/696

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Citation - Scopus: 1
Adaptive Event-Triggered Regulation Control of Nonholonomic Mobile Robots
(Springer, 2020) Guzey, M.
In this chapter, the design of adaptive-regulation control of mobile robots (MR) in the presence of uncertain MR dynamics with event-based feedback is provided. Two layer neural-networks (NN) are utilized to represent the uncertain dynamics of the MR which is subsequently employed to generate the control torque with event-sampled measurement update. By relaxing the perfect velocity tracking assumption, control torque is developed to minimize the velocity tracking errors, by explicitly taking into account the dynamics of the MR. The Lyapunov’s method is utilized to develop an event-sampling condition and to demonstrate the regulation error performance of the MR. At the end of the chapter, simulation results are given to verify our theoretical claims. © Springer Nature Singapore Pte Ltd. 2020.
Additive Manufacturing of Amorphous Soft Magnetic Materials
(Elsevier, 2025) Özden, M.G.
Amorphous alloys intended for soft-magnetic applications are commonly produced through the rapid solidification of the molten metal. Typically, these alloys are prepared by incorporating metalloids (such as Si, B, Al, C, and P) into Fe-based and Co-based alloys, constituting approximately 20% of the composition. In amorphous magnetic alloys, the microstructure is characterized by the absence of atomic long-range order, showcasing only short-range order. This short-range order stems from the essentially random atomic arrangement during the solidification of the liquid melt at a cooling rate ranging from 105 to 106 K/s. Consequently, the absence of crystallite-related defects, such as grain boundaries and dislocations, contributes to a reduction in coercivity. Numerous studies have explored Fe-and Co-based magnetic materials produced through additive manufacturing (AM), given their broad applicability in the energy sector. While certain soft-magnetic amorphous/nanocrystalline alloys, such as the commercially available FeSiBCuNb alloys (FINEMET), show excellent soft-magnetic properties, AM has not yet introduced commercially available amorphous or nanocrystalline alloys. These materials are still at the research stage. Notably, the significant challenges lie in substantial crystallization and the segregation of alloying elements in AM, particularly when dealing with conventional alloying systems that exhibit low glass-forming ability (GFA). An innovative scanning strategy enabled the successful achievement of nearly 90% amorphous content in the laser additive manufactured FeSiBCrC alloy, which initially had low GFA. Despite the low bulk density (94%), stress-relief annealing resulted in relatively low coercivity (238A/m) in the as-printed samples. Recently, a “record-large” amorphous rotor with intricate 3D geometry was successfully manufactured through the laser AM process, employing the same alloy system (FeSiBCrC). This rotor possesses good soft-magnetic properties (saturation magnetization: 1.29T, coercivity: 510A/m, magnetic susceptibility: 9.17), high hardness (877 HV), and electrical resistivity (178.2 μΩ.cm). Moreover, the amorphization degree was moderate (70%). Consequently, AM presents a promising future technology for the production of large-scale amorphous soft-magnetic components. This chapter focuses on the AM of amorphous Fe-based and Co-based soft-magnetic materials. Among the various AM techniques, powder-bed fusion and direct energy deposition have been applied for this specific purpose. Within this section, an in-depth examination is conducted on these AM processes for amorphous magnetic materials. The chapter also includes an analysis of the research conducted in this field, along with a comprehensive exploration of the advantages and disadvantages associated with each method. © 2025 Elsevier Ltd. All rights reserved.
Citation - Scopus: 4
Additive Manufacturing of Non-Ferrous Metals
(Springer Nature, 2024) Varol, T.; Güler, O.; Yıldız, F.; Suresh Kumar, S.
Non-ferrous metals such as titanium (Ti), nickel (Ni), cobalt (Co), aluminum (Al), copper (Cu) and their alloys have many advantages compared to ferrous metals due to their low density, high corrosion resistance and high strength. Ti and its alloys are mostly used in engine applications such as rotors, compressor blades, and hydraulic systems. Ni and its alloys are frequently preferred in areas such as transmission shafts and turbine blades due to corrosion resistance and magnetic properties. Although cobalt and its alloys are used in cutting and piercing equipment, especially due to their high hardness, they have also used in the fabrication of biomaterials, hard permanent magnets due to biocompatible and their magnetic properties. The excellent corrosion resistance, thermal conductivity and lightness of Al and its alloys compared to ferrous metals make it usable in almost all industrial areas. Copper and copper alloys are one of the main materials used in the fabrication of conductive materials and heat exchangers. For this reason, efforts to produce more qualified and cheaper non-ferrous metals are gaining importance day by day. Traditional methods such as casting, powder metallurgy and injection molding have been used in the fabrication of metal parts. These methods need too many secondary processes such as cutting, machining, grinding, sintering, etc. after production. Moreover, some difficulties are encountered in these processes of non-ferrous metals such as titanium. Additive manufacturing (AM) methods have been developed to overcome these and many challenges. These methods eliminate the disadvantages of methods such as casting methods where scrap loss is experienced and powder metallurgy and / or injection molding methods, where the production of complex and large parts is difficult and combining their advantages in a single method. In this method, engineering parts are made by layering on the layer and layers are formed by the use of powder or wire selectively melted by a laser source followed by cooling. In this regard, in this book chapter, the manufacturability of non-ferrous metals consisting of Ti, Ni, Co, Al, Cu and their alloys, which are frequently used in the industry by AM methods, the application areas of such non-ferrous metals produced by AM methods and the advantages of the products obtained by these methods will be discussed in detail. Moreover, the challenges encountered in the fabrication of the specified non-ferrous metals with AM methods and the procedures that can be done to overcome these difficulties will also be highlighted. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2022.
Citation - Scopus: 3
Advantages of Using Halotolerant/Halophilic Bacteria in Agriculture
(Elsevier, 2022) Orhan, F.; Efe, D.; Gormez, A.
Soil salinization, one of the major restrictive problems in agricultural production, is increasing in arid and semiarid regions day by day. Rainfall in arid and semiarid regions is insufficient and cannot leach the excess salts from the plant root zones. This significantly affects the water uptake and ion homeostasis, photosynthesis, respiration, nutrient assimilation, and hormonal imbalance of plants. Soil salinity can be ameliorated using chemical and biological approaches. The application of halophytes including salt-tolerant plants and microorganisms is more preferable as it is an environment-friendly approach, given that the already salt-affected soil cannot be further contaminated with additional chemicals/matter. Yet, halophytes have limitations as they constitute an extremely small part of the total flora (around 1%); thus, the only environment-friendly approach in the amelioration of saline soils is the use of halophilic/halotolerant plant growth-promoting (PGP) bacteria. Recent research studies have indicated that the utilization of halotolerant/halophilic (PGP) bacteria in barren and deconstructed soils affected by salinity is a promising method to remediate these soils and increase soil fertility. © 2023 Elsevier Inc. All rights reserved.
Artificial Intelligence Technologies in Healthcare
(Emerald Group Publishing Ltd., 2025) Baygin, M.
Purpose: This piece delves into the transformative potential of artificial intelligence (AI) in the healthcare field within the emerging realm of Industry 5.0, highlighting a people-focused and eco-friendly approach. Need for the study: While Industry 4.0 set the foundation for digitization in healthcare, it frequently overlooked the human factor and concerns about sustainability. Industry 5.0 tackles these deficiencies by giving importance to human welfare, efficiency in resource usage, and societal consequences alongside technological progress. Methodology: This research utilizes a survey of existing written works on Industry 5.0, AI in healthcare, and associated empowering technologies. It also leans on insights from recent investigations and business actions to pinpoint current patterns and future paths. Findings: This chapter showcases how AI-driven solutions can greatly alter various facets of healthcare. Some of these healthcare facets encompass personalized medicine and treatment, intelligent diagnostics and decision support, robot-supported surgery and care, and enhanced availability and affordability. Practical applications: This piece offers valuable perspectives for healthcare investors. These investors cover healthcare suppliers, technology creators, rule creators, and patients. By embracing the standards of Industry 5.0, the merging of AI into healthcare brings significant potential for crafting a more competent, sustainable, and people-centered healthcare network that benefits both patients and society as a complete unit. This research investigates the stance, viewpoints, and potential impacts of machine intelligence (MI) in health with an emphasis on Industry 5.0. © 2025 by Mehmet Baygin.
Citation - Scopus: 15
Artificial Intelligence-Based Solutions for Cyber Security Problems
(IGI Global, 2020) Yildirim, M.
Due to its nature, cyber security is one of the fields that can benefit most from the techniques of artificial intelligence (AI). Under normal circumstances, it is difficult to write software to defend against cyber-attacks that are constantly developing and strengthening in network systems. By applying artificial intelligence techniques, software that can detect attacks and take precautions can be developed. In cases where traditional security systems are inadequate and slow, security applications developed with artificial intelligence techniques can provide better security against many complex cyber threats. Apart from being a good solution for cyber security problems, it also brings usage problems, legal risks, and concerns. This study focuses on how AI can help solve cyber security issues while discussing artificial intelligence threats and risks. This study also aims to present several AI-based techniques and to explain what these techniques can provide to solve problems in the field of cyber security. © 2021, IGI Global.
The Champions of If-Constructions in Literary Studies: A Comparative Analysis of If-Constructions in L2 Learners’ M.A. Theses and Ph.D Dissertations
(IGI Global, 2025) Kırmızı, Ö.; Kübra Er, H.
The present paper was designed to investigate the use of if-constructions in literary criticism articles, M.A. theses, and PhD theses. Given that if-constructions enable writers to establish a wide range of functions, they are highly valuable in academic discourse. Even though if-constructions receive some attention from researchers, they are not studied in terms of theses or academic articles in literary criticism publications. To bridge this gap, a comparative analysis was undertaken in the present study. As the analytic framework, the study employed Warchal’s (2010) typology of conditional clauses and Martin and White’s (2005) framework on writer-reader meaning negotiation. To this end, 100 literary criticism articles, 50 M.A. theses, and 50 PhD theses were compared. The findings indicate that expert writers make a richer use of if-constructions as rhetorical devices in almost all the if-constructions under the propositional meanings category. © 2025 by IGI Global Scientific Publishing.
Examination of Decomposition Techniques from Legacy Monolith to Softwarized Microservice-Oriented Architectures in Industry 5.0 Vision
(Emerald Group Publishing Ltd., 2025) Karabey Aksakalli, I.K.
Purpose: In this study, monolith analysis methods, microservice identification, and decomposition methods proposed for the transition to microservice architectures that enable the development of appropriate solutions by adapting to the complex demands that will shape the technological infrastructure of the future are evaluated. Need for the study: Decomposition from monolithic architectures to microservices has become a popular approach in organizations and companies with Industry 5.0. This transformation of Industry 5.0 enables businesses to gain a competitive advantage and can provide a quick solution to personalized problems such as personal service systems. Methodology: The study, decomposition from monolith to microservice, initially includes monolith analysis, followed by microservice decomposition review. Various classification methods have been proposed for microservice identification and decomposition and are aligned with Industry 5.0 principles, focusing on artificial intelligence (AI)-based approaches, especially human-centered AI. Findings: Four analysis methods (domain, static, dynamic, and version) are identified for monolith analysis, with static and dynamic being the most common. Version analysis is not typically used alone. In the decomposition phase, clustering-based methods are prevalent due to the uncertain dimensions of microservices. Rule-based and unsupervised methods are identified for decomposition, with AI algorithms like affinity propagation, Kmeans clustering, hierarchical clustering, Hungarian algorithm, genetic algorithm, latent Dirichlet allocation (LDA), and minimum spanning tree (MST) being employed. Practical implications: Microservice architecture enables flexibility, scalability, and resilience compared to monolithic structures. Decomposing large-scale monolith projects into microservices is challenging, requiring selection of appropriate monolith analysis methods based on project details (e.g., domain analysis for detailed Unified Modelling Language (UML) diagrams) before proceeding with decomposition. This transformation improves deployment, maintenance, fault isolation, and scalability, while allowing for diverse service-specific databases and programming languages. © 2025 by Isil Karabey Aksakalli.
Gender and Politics: The Structural Hegemony of Popular Culture Over Women
(Peter Lang AG, 2021) Başkan, B.
Gender Inequality and Reflections on the Women Entrepreneurship
(Peter Lang AG, 2021) Hamamci, E.D.E.
Citation - Scopus: 1
Green Hydrogen: A Clean Energy Solution for Electricity and Heat
(IGI Global, 2024) Aydın, A.Ö.; Bozkurt, G.; Daş, E.
Hydrogen (H2) is an energy carrier that offers both some of the benefits of fossil fuels and is clean with a low carbon footprint. Production of H2 from the water electrolysis using renewable energy is called green hydrogen and is the preferred pathway for future H2 production. In order to decarbonize the energy sector, green hydrogen must be adapted to existing systems using different technologies. Fuel cells, gas turbines (GTs), and combined heat and power (CHP) systems are the primary applications for hydrogen in power generation. CHP systems are highly efficient and can be employed in buildings, industrial facilities, and district energy systems to provide electrical and thermal energy. Heat pumps integrated with fuel cells are another example of energy-efficient technology. Mixing hydrogen in a specific volumetric ratio improves the resource utilization of the present natural gas heating systems. This chapter focuses on green hydrogen practices in electrical and thermal energy generation applications. © 2024, IGI Global. All rights reserved.
The Innovation Systems from National to Regional Level: The Role of RIS in the Regional Development
(Peter Lang AG, 2020) Hamamci, E.D.E.
Introduction: Regional Differences in Women Entrepreneurship
(Peter Lang AG, 2021) Türko, E.S.
Investigating the Prioritization of Maintenance and Repair of Road Defects for Sustainable Urban Development Using the Best-Worst Method and You Only Look Once Version 8
(Springer Science+Business Media, 2025) Kaya, Ö.; Çodur, M.Y.; Rane, N.L.
One of the main factors in the development of societies and the provision of public services is the condition of road networks. Especially road pavements with flexible superstructure experience structural deterioration over time. This degradation is the key problem that negatively affects sustainable urban development. Many road defects occur as a result of this process. Completing the maintenance and repair of defects is a very difficult process. In general, the process of detecting defects in road networks is carried out manually. This situation creates confusion in maintenance and repair. In this study, it is aimed to prioritize the defects occurring in road networks in terms of maintenance and repair. To this end, a three-step solution approach is proposed: (i) determining 13 sub criteria, (ii) prioritization the criteria with Best-Worst Method (BWM), (iii) automatic detection of the five highest priority road defects with YOLOv8. It is clear that it will provide guidance to road network managers about the process of defects. As a result, the damages caused by road defects have been minimized with a prioritization approach, providing comfortable and safe transportation for traffic components. © 2025 The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG.
Citation - Scopus: 5
Investigation of Alcohol Consumption Determinants in Turkey with Multinomial Probit Model
(IGI Global, 2019) Alkan, Ö.; Yarbaşı, I.Y.
The main objective of this study is to determine key factors that may have a significant effect on alcohol consumption in Turkey. For this purpose, the cross-sectional data obtained from the Turkish Health Survey conducted in 2010 and 2012 by the Turkish Statistical Institute were analyzed through the multinomial probit model. Results revealed that several key variables were found to be a significant determinant of alcohol consumption, such as gender, age, education, marital status, income, general health status, tooth brushing frequency, situation of violence, fruit consumption frequency, tobacco use, exposure to tobacco smoke, and survey year. It is apparent that alcoholics need help to get rid of an addiction. Therefore, it would be inevitable for governments to intervene through national and international public health authorities. In particular, the ability of governments to design and implement comprehensive prevention strategies that combine the strengths of different policy approaches is critical to success. © 2020 by IGI Global. All rights reserved.
MicroRNAs in Human Prostate Cancer: from Pathogenesis to Therapeutic Implications
(Wiley Blackwell, 2013) Ozen, M.; Karatas, O.F.
Prostate cancer (PCa) is one of the most frequent new cancer diagnoses and cancer-associated deaths among men worldwide. MicroRNAs (miRNAs) have been shown to participate in prostate carcinogenesis, and their aberrant expression has been detected in PCa cell lines, xenografts, and clinical samples. In this chapter, we have reviewed and summarized the most current evidence, including our own work, that implicates miRNA involvement in human prostate cancerogenesis. The possible roles of miRNAs in tumorigenesis through both the genetic and epigenetic changes occurring during cancer initiation, development, invasion, or metastasis are summarized. We believe that this chapter will help investigators not only working in prostate cancer but also studying the miRNAs in other diseases to delineate the functions of miRNAs implicated in human PCa development, progression, and therapy. © 2014 by John Wiley & Sons, Inc. All rights reserved.
Citation - Scopus: 3
Operational Modal Analysis Method for Historic Masonry Structures: Applications
(Springer International Publishing, 2022) Okuyucu, D.
The chapter presents information about applications of operational modal analysis on historic masonry structures. Functional modal analysis is a nondestructive type of in situ experimentation technique that enables the estimation of the construction’s modal behavior parameters. Considering technical advantages, the method finds a wide range of applications in different fields of engineering. Operational modal analysis is preferred for some kinds of structural engineering studies on historic masonry constructions as well. In the case of historic masonry, the method can be preferred for structural analysis model calibration, verification of masonry material identification procedures, structural health monitoring, condition assessment, and damage detection. The text provides information aboutmasonry modeling approaches that link operational modal analysis to the macro modeling method. Possible operational modal analysis applications are stated in the manuscript; operational modal analysis studies of the author on miscellaneous historic masonry constructions are exampled for different purposes. © Springer Nature Switzerland AG 2022.
Paclitaxel Resistance in Head and Neck Cancer: Underlying Molecular Mechanisms and Potential Therapeutic Targets to Overcome Paclitaxel Resistance
(Nova Science Publishers, Inc., 2022) Aytatli, A.; Karatas, O.F.
Head and neck squamous cell carcinoma (HNSCC) is one of the most frequently diagnosed malignant neoplasms worldwide, constituting over 90% of the head and neck cancers. Development of resistance against chemotherapeutics including paclitaxel in addition to frequent recurrence of the disease constitute major obstacles to the treatment of HNSCC patients. Paclitaxel, also known as Taxol, is the first known microtubule stabilizing agent described in the literature, which mechanistically inhibits cell cycle and induces cell death by stabilizing the microtubules during the cell division. Acquisition of resistance against paclitaxel in HNSCC causes undesirable clinical outcomes like tumor progression, recurrence, and metastasis. The basic mechanisms related to the development of paclitaxel resistance include, but are not restricted to changes in its metabolization within tumor cells, its export from cancer cells through efflux pumps, intrinsic resistance of cancer stem cells against paclitaxel, and switching on alternative signaling pathways. In this chapter, we have reviewed and summarized the most current literature, including our own research, that implicate the underlying molecular mechanisms of paclitaxel resistance and the potential therapeutic targets to overcome paclitaxel resistance in HNSCC. We believe that this chapter will help investigators not only working with head and neck cancer, but also studying other cancers as well as other chemotherapeutics to more comprehensively understand the chemoresistance that lead to poor prognosis in cancer patients. © 2022 Nova Science Publishers, Inc.
Pharmaceutical Warehousing 4.0 in Healthcare Supply Chain
(Springer Nature, 2023) Tutam, M.
Over the last decade, many countries have suffered from supply chain disruptions for different products because of the ever-increasing global problems with devastating financial and social consequences. In response, most companies revisit their just-in-case supply chain strategies and shift them to just-in-case models. As a result, warehouses acting as barriers to unexpected circumstances have become more crucial than ever in human history. Apparently, warehousing plays an essential role in any industry but a critical role in health care because of the possible results of any instability and lateness in pharmaceutical deliveries. Different from conventional warehouses, thousands of pharmaceuticals are received, stored, and preserved in pharmaceutical warehouses (pharmahouses) under special storage, handling, temperature, ventilation, and lighting conditions. Moreover, with the increasing older population and chronological or pandemic diseases, thousands of pharmaceuticals are delivered daily to patients, healthcare providers, or pharmacies. Therefore, recent technological advancements are continuously adopted by pharmahouses to cope with the ever-increasing conditions and demand. This chapter presents the history of pharmahouses and their transformation from primitive cellars or storerooms to intelligent facilities. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
Citation - Scopus: 2
Pivotal Role of Micronucleus Test in Drug Discovery
(Nova Science Publishers, Inc., 2019) Türkez, H.; Arslan, M.E.; Mardinoğlu, A.
Early detection of adverse effects of novel compunds during drug discovery and development most probably reduce late stage failures, expenses and exertions for candidate drugs. Although the micronucleus (MN) test is one of the oldest techniques used in biochemical sciences for drug discovery. Flexibility of the technique for both in vitro and in vivo applications and practicability for large scale samples in short time make the MN test an inevitable tool for chemical trails. Drug studies require a formulation that provides the highest exposure to detect clastogenic and aneugenic activities and thus analysis makes it possible to get the necessary safety margin to support clinical trials. The MN test is one of the most important tools of the genotoxicity test battery in preclinical studies to identify negative effects of compounds that induce numerical and structural chromosome alterations in wide spectrum concentrations. The MN assay can be applied various cell types in different protocols. For instance; the most recommended protocols are bone the marrow micronucleus analysis and the in vivo mammalian erythrocyte precursor assay. Also, the rodent ovary cells validation test is a very powerful approach to analyse side effects of a compound. Beside cell types, detection systems can be constituted to obtain a high throughput screening such as integrating flow cytometry analysis into the MN inspections. Since a new compound is needed for such an assay, the MN test can assess abnormalities earlier in the drug discovery pipeline, making structure/genotoxicity connection a possible system for drug characterization. © 2020 by Nova Science Publishers, Inc. All rights reserved.

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