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Clinical Development of Quinone-Based Drugs
(Elsevier, 2024) Altuner, E.E.; Issa, G.; Ozalp, V.C.; Aldemir, O.; Torlak, Y.; Dar, U.A.
This chapter provides a detailed explanation of the clinical investigations, pharmacological effects, and characteristics of quinone and quinone derivatives, along with references to pertinent sources. Although quinones have an oxygen group in their structure, they are quickly oxidized and interact with reactive oxygen species. This demonstrates how quinones work as drugs. Quinones and their derivatives are used as medications to treat a wide range of diseases, including cancer, lung, kidney, brain, and tumor disorders. Each of the following has effects on a different area of health; lapochols, anthraquinones, naphthoquinone and its derivatives, and other wide range of quinone derivatives are thoroughly explored in this chapter. © 2025 Elsevier Inc. All rights reserved.
Drawing a Portrait of Refugee Representation in Turkish Newspapers: A Framing Analysis of Hürriyet and Sabah
(Bloomsbury Publishing Plc., 2020) Özoran, Beris Artan; Seyidov, Ilgar
Impacts of Economic and Institutional Dynamics on New Media Applications Penetration: Sample Country Analysis
(IGI Global, 2020) Benli,H.E.
New media applications become vital in order to compete as a country and as human beings. Despite the positive impact and increasing global usage of new media applications, some countries have low new media applications penetration when others have high. This should be analyzed and evaluated within the countries' own macroeconomic and institutional dynamics. Dynamic motives as institutional, macroeconomic, infrastructural, and political factors heavily divined and also easily damage the current and future conditions of the countries. This work conceptually and concretely investigated the role of specific factors. Macroeconomic factors are determined as population, GDP growth rate, and population rate of the countries. Institutional factors are evaluated through political stability index, rule of law index, and civil liberties index of each sample country. Infrastructural factors, business environment, and investments were analyzed with looking at international internet bandwidth per internet users and competitiveness data for countries. © 2021, IGI Global.
Citation - Scopus: 2
A Multi Source Graph-Based Hybrid Recommendation Algorithm
(Springer Science and Business Media Deutschland GmbH, 2021) Kurt,Z.; Gerek,Ö.N.; Bilge,A.; Özkan,K.
Images that widely exist on e-commerce sites, social networks, and many other applications are one of the most important information resources integrated into the recently deployed image-based recommender systems. In the latest studies, researchers have jointly considered ratings and images to generate recommendations, many of which are still restricted to limited information sources, sources namely, ratings with another input data, or which require the pre-existence of domain knowledge to generate recommendations. In this paper, a new graph-based hybrid framework is introduced to generate recommendations and overcome these challenges. Firstly, a simple overview of the framework is provided and, then, two different information sources (visual images and numerical ratings) are utilized to describe how the proposed framework can be developed in practice. Furthermore, the users’ visual preferences are determined based on which item they have already purchased. Then, each user is represented as a visual feature vector. Finally, the similarity factors between the users or items are evaluated from the user visual-feature or item visual-feature matrices, to be included the proposed algorithm for more efficiency. The proposed hybrid recommendation method depends on a link prediction approach and reveals the significant potential for performance improvement in top-N recommendation tasks. The experimental results demonstrate the superior performance of the proposed appraoch using three quality measurements - hit-ratio, recall, and precision - on the three subsets of the Amazon dataset, as well as its flexibility to incorporate different information sources. Finally, it is concluded that hybrid recommendation algorithms that use the integration of multiple types of input data perform better than previous recommendation algorithms that only utilize one type of input data. © 2021, The Author(s), under exclusive license to Springer Nature Switzerland AG.
Citation - Scopus: 1
Design of Recycled Aluminium (AA7075)-Based Composites Reinforced with Nano Filler NiAl Intermetallic and Nano Niobium Powder Produced with Vacuum Arc Melting for Aeronautical Applications
(CRC Press, 2023) Kasar,C.; Aslan,O.; Gatamorta,F.; Miskioglu,I.; Bayraktar,E.
In the frame of the common research project, the mechanical properties of recycled gas atomized scrap aluminium (AA 7075)-based composites reinforced with nano filler NiAl intermetallic and niobium (Nb) elements have been evaluated. Firstly, the mixture was homogenized by means of a ball milling process for 4 hours. After cold compaction of the compositions, the final specimens have been produced with “vacuum arc melting” for aeronautical applications. Static and dynamic compression tests have been conducted. Additional tensile tests have also been carried out. Experimental results were compared with a finite element method. The interface and microstructure of these composites have also been evaluated by a scanning electron microscopy. © 2024 selection and editorial matter, N. M. Nurazzi, E. Bayraktar, M. N. F. Norrrahim, H. A. Aisyah, N. Abdullah, and M. R. M. Asyraf; individual chapters, the contributors.
Citation - Scopus: 7
The Synergy Between Tourism, Aviation, and Digital Transformation: a Path To Seamless Travel Experiences
(IGI Global, 2024) Güzel,G.
This chapter explores the profound impact of digital transformation on the tourism and aviation sectors, highlighting the necessity for a comprehensive digital strategy in response to global changes. The tourism industry, in particular, is undergoing a paradigm shift, leveraging technological advancements such as mobile applications, social media, and digital platforms to enhance customer satisfaction, experience, and overall competitiveness. Within the aviation sector, digital developments span smart maintenance, risk management, air traffic optimization, and customer relations, all aimed at improving operational efficiency and passenger experience. The interconnectedness of tourism and aviation is evident in the increasing role of air travel, accounting for over 52% of global tourist movements. The chapter delves into the historical evolution of this symbiotic relationship, emphasizing the pivotal role of innovations, increased connectivity, and affordability in fostering tourism growth. © 2024, IGI Global. All rights reserved.
Divided and A-Divided Differences on Time Scales
(De Gruyter, 2023) Jaddoa,N.; Sevinik-Adigüzel,R.; Erhan,I.M.
In this chapter, the divided differences and cr-divided differences on time scales are introduced. The Newton and cr-Newton interpolation polynomial are constructed. In addition, the Hermite interpolation polynomial on time scales is constructed by using the divided differences table. Examples are presented to illustrate the theoretical results. © 2023 Walter de Gruyter GmbH, Berlin/Bostonl. All rights reserved.
Citation - Scopus: 2
Molecular Mimicry Study Between Peptides of SARS-CoV-2 and Neutrophil Extracellular Traps-Related Proteins
(Elsevier, 2024) Adiguzel,Y.; Shoenfeld,Y.
Background Neutrophil extracellular traps (NETs) are observed in both COVID-19 pathology and autoimmune disorders, and molecular mimicry is a mechanism that can lead to an autoimmune response. Methods Similar sequences between SARS-CoV-2 proteins and 5 proteins (plasminogen receptor KT: PLRKT, myeloperoxidase: MPO, proteinase 3: PR-3, neutrophil elastase: NE, matrix metalloproteinase 9: MMP-9) that are present in NETs were searched. Human and SARS-CoV-2 sequence pairs were identified. Those among the identified sequence pairs, which are predicted as strong-binding peptides or epitopes of the same selected MHC class I and class II alleles, were predicted. Results In the case of MHC class I alleles, similar PLRKT and SARS-CoV-2 peptide sequences with high predicted-affinities to HLA-A*24:02, HLA-B*08:01, and HLA-B*15:01; similar MPO and SARS-CoV-2 peptide sequences with strong predicted-affinities to HLA-A*01:01, HLA-A*26:01, and HLA-B*15:01; and similar MMP-9 and SARS-CoV-2 peptide sequences with elevated predicted-affinities to HLA-B*39:01 were predicted. In the case of MHC class II alleles, similar PLRKT and SARS-CoV-2 peptide sequences with high predicted-affinities to HLA-DPA1*02:01/DPB1*01:01 were predicted. Conclusion This work is a proof-of-concept study, which revealed the potential involvement of molecular mimicry in NET pathology within susceptible individuals, in the case of being infected with SARS-CoV-2, leading to autoimmunity. © 2024 Elsevier B.V. All rights reserved.
Citation - Scopus: 11
Sustainable Software Engineering: Curriculum Development Based on Acm/Ieee Guidelines
(Springer International Publishing, 2021) Mishra,A.; Mishra,D.
Climate change risk and environmental degradation are the most critical issues of our society. Our technology-influenced daily lifestyle involves many types of software and apps which are used by society at large, and their use is increasing more than ever before. Sustainability is a significant topic for future professionals and more so for software engineers due to its impact on society. It is crucial to motivate and raise concern among students and faculty members regarding sustainability by including it in the Software Engineering (SE) curriculum. This chapter discusses how sustainability can be included in various courses of the SE curriculum by considering ACM/IEEE curriculum guidelines for the SE curriculum, literature review, and various viewpoints so that SE students can attain knowledge on sustainable software engineering. It also includes an assessment of key competences in sustainability for proposed units in the SE curriculum. © Springer Nature Switzerland AG 2021. All rights reserved.
The Dark Side of Proactive Behaviors and Blind Spot Management
(Springer Science+Business Media, 2025) Uwizeye, J.; Tuzlukaya, S.E.; Asbas, C.
Proactive behavior, which should be anticipatory and agentic, can be defined as actions focused on certain behaviors aimed at improving job performance, career success, and employee well-being. Even if organizational citizenship behaviors have been frequently characterized as proactive behaviors, this is not true under every condition, as they may be either reactive or passive. Although proactive behavior among employees has been widely studied because of the importance that organizations place on improving performance and effectiveness, the potential and possible negative outcomes of such behavior have often been ignored. Examining and discovering the potential negative implications of proactive behaviors and formulating strategies to manage blind spots are vital for developing a general understanding of proactive behaviors for both employees and firms. The intention of this study is to conduct a literature review on proactive behaviors by focusing on the dark side and blind spots of proactive behaviors. This chapter also explains various forms of proactive behaviors and theories that can effectively describe the negative outcomes of such behaviors and discusses the detrimental effects of proactive behaviors on both employees and organizations. © 2025 The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG.

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