Scopus İndeksli Yayınlar Koleksiyonu

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3D Printing and Logistics
(Springer Nature, 2022) Bayraktar, A.N.
3D printing is a production process. 3D printing takes place among the techniques known as additive manufacturing and is used in the market as synonymous with additive manufacturing, and even commonly 3D printing is used instead. When there are three elements as digital model, feed material and 3D printer, then the needed product can be produced at any time and at any place by 3D printing. This technique has changed the principles of traditional production as producing the parts separately and then assembling. In other words, the traditional way of business will have been transformed to a new style. 3D printing is a disruptive and a growing trend in the business. It is assumed that 3D printing will cause and economic effect as 230$ billion to $550 billion per year by 2025. Also the increase in enthusiasm of companies in trying and using of this technology supports this assumed economic effect. Worldwide trademarks as Mercedez Benz, BMW, IKEA, Ford have shared their experiences, productions and savings. Experiences with 3D printing have shown that its usage is beneficial. Some of the benefits gained by 3D printing can be defined as shorter lead time, cheap production, fewer stocks, elimination of assembling requirement, acceleration of design process, etc. Shorter lead time, fewer stocks and elimination of flow for assembling requirements point out the change in supply chain and logistics market. With 3D printing, it is possible to produce closer to the customer by minimizing inventory, transportation and handling costs. As a service provider, logistics companies should review their service infrastructure in line with the needs of their customers who will adopt these strategies. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
Alterations in Niban Gene Expression as a Response to Stress Conditions in 3t3-L1 Adipocytes
(Springer, 2020) Cevik, Mehtap; Gunduz, Meliha Koldemir; Deliorman, Gokce; Susleyici, Belgin
Adipocyte death is important in obesity development. Understanding and prevention of adipocyte deaths may be a molecular approach in the treatment. In the study, we aimed to understand role of Niban gene, which acts as an anti-apoptotic molecule as a response to stress conditions, in adipocytes. 3T3-L1 adipocytes were treated with different doses of linoleic acid, hydrogen peroxide and ethanol; and proliferation of the cells examined with real time monitoring iCELLingence system. Gene expression levels were measured by q-PCR. As a response to 24h 480 mu M linoleic acid treatment, Niban gene expression was found to be higher than control group (p = 0.008), whereas 24 h 90 mM ethanol treatment was determined to be lower than control group (p = 0.008). The highest value of Niban gene expression among H2O2 treatment groups was detected in 4h 600 mu M H2O2 in comparison to control group (p = 0.008). To understand role of Niban in adipogenesis, Niban gene expressions were compared between pre-adipocytes and advanced fat accumulated adipocytes and determined to be significantly different (p = 0.042). Our results suggest that Niban might be involved in stress response process in adipocytes. However, the exact molecular role of Niban needs to be investigated in further studies.
Analyses of Chemical and Physical Egg Quality Parameters of Laying Hens Housed in Different Conditions in Turkey
(Sakarya University, 2023) Uysal Afacan, R.S.
The aim of the present study is to determine the content of chemical and physical quality parameters of hen eggs (liquid whole egg (LWE), liquid egg yolk (LEY), and liquid egg white (LEW)) produced for different housing and feeding conditions in Turkey. Chemical quality parameters (protein, lipid, and moisture) and physical quality parameters (total soluble solid (°Brix), pH, conductivity, and yolk:white ratio) were analyzed using different egg samples. Kjeldahl, wet ashing, and oven-drying official methods were used for the protein, total lipid, and moisture analyses of egg samples. The highest protein content in the LEY and LEW samples were found to be 19.0% and 15.13%, respectively for the tenth sample having fortified feeding (selenium+DHA) parameters. For LWE samples, it was also obtained 15.65% with the second sample having a not fortified feeding parameter. The highest total lipid content for LWE samples was determined as 10.43% for the seventh sample which housed under cage free conditions and fed with organic (omega3+EPA+DHA) fortifiers, while it was found with a value 25.7% for the second and third LEY samples possessing a not fortified feeding parameters. The highest moisture content was determined as 78.37%, 54.64%, and 89.11 for thirty-first LWE sample (with not fortified feeding), third LEY sample (with not fortified feeding) and sixth LEW sample (having cage free and organic parameters), respectively. As a result, the minimum, average, and maximum contents of the chemical and physical quality parameters were determined for laying hen eggs raised in several housing and feeding conditions in Turkey. © 2023, Sakarya University. All rights reserved.
An Analysis of Airports’ Sustainability Promotion Activities on Instagram through Content Analysis Method
(IGI Global, 2026) Beğendik B.
This study evaluates how airports in Türkiye communicate sustainability-related activities on Instagram by applying content analysis within the framework of the United Nations’ 17 Sustainable Development Goals (SDGs). The results indicate that airports post content related to the SDGs, but they mostly focus on economic and operational topics, especially SDG 9 (Industry, Innovation, and Infrastructure), which emphasizes digital advancements, new services, and infrastructure improvements. Airports display environmental themes, albeit in limited and uneven ways. From a strategic innovation perspective, airports tend to signal sustainability primarily through modernization and efficiency narratives rather than comprehensive environmental transformation. Accordingly, airport operators should move beyond symbolic messaging by communicating measurable environmental targets, actions, and outcomes on Instagram. © 2026 by IGI Global Scientific Publishing. All rights reserved.
An Analysis of Alternative Energy Sources and Applications in Maritime Transportation with a Strategic Management Approach
(Springer Science and Business Media Deutschland GmbH, 2024) Mizrak, F.; Akkartal, G.R.
The integration of alternative energy sources in maritime transportation is in line with operational and green strategies that aim to promote sustainability and reduce the negative impacts of transportation on the environment. In this perspective, the purpose of the study is to illustrate the severity of the carbon emission as a result of maritime activities and analyze the current applications to reduce the negative effects on the environment adapting operational and green strategies benefiting from the recent studies in literature. Studies on the use of renewable energy sources such as solar and wind on ships and alternative energy sources such as onshore energy are examined in order to reduce fuel consumption and minimize exhaust gas emissions. Current information on the use of alternative energy systems in ship technology is given. In addition, it is aimed to contribute to the future predictions of the maritime industry by addressing new generation ship designs and projects within the strategic management framework. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.
An Analysis of Alternative Energy Sources and Applications in Maritime Transportation with a Strategic Management Approach
(Springer Science and Business Media Deutschland GmbH, 2024) Mızrak F.
Energy management and efficiency are important in terms of both sustainable environment and sustainable economy. Energy efficiency and the use of renewable energy have become an issue that the maritime industry focuses on, both in terms of effective and efficient use of resources and reduction of greenhouse gas emissions. In this study, studies on the use of renewable energy sources such as solar and wind on ships and alternative energy sources such as onshore energy are examined in order to reduce fuel consumption and minimize exhaust gas emissions. Current information on the use of alternative energy systems in ship technology is given. In addition, it is aimed to contribute to the future predictions of the maritime industry by addressing new-generation ship designs and projects within the strategic management framework. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.
Analyzing Cost Efficiency and Project Scope in Post-Disaster Housing: Reconstruction Cases of Toki in Türkiye
(MDPI, 2025) Geylani, Ozlem
The Mass Housing Administration of T & uuml;rkiye (TOKI) operates as the primary public organization responsible for delivering extensive affordable housing throughout T & uuml;rkiye while ensuring disaster resilience. The recent decades of earthquakes and environmental hazards in T & uuml;rkiye have necessitated extensive post-disaster reconstruction initiatives nationwide. In response, TOKI has completed numerous disaster housing projects across the country through an integrated infrastructure framework supporting community recovery. This study presents an extensive statistical evaluation of 664 disaster housing projects constructed by TOKI across 40 provinces. Specifically, a quantitative analysis is conducted on 434 disaster housing projects for which detailed financial data are available. This research examines differences in construction costs between urban mass housing developments and rural village settlements, particularly focusing on the integration of functional structures such as schools, mosques, commercial units, and barns. Although mass housing projects require significantly larger total budgets due to their extensive scale, statistical analysis reveals no significant difference in per-unit construction costs between mass housing and village housing projects. Regression analysis indicates that incorporating barns increased per-unit construction costs, while the presence of schools and mosques significantly decreases these expenses. The findings of this research provide critical insights into the economic and functional factors influencing disaster housing reconstruction in T & uuml;rkiye and offer practical recommendations for improved planning, resource management, and community reconstruction based on an evaluation of functional structures.
Analyzing Ideology and Narratology in Film Series, Sequels, and Trilogies
(IGI Global, 2024) Seçmen, E.A.
The study of ideology and narratology in film reveals intricate layers of meaning and cultural significance embedded within cinematic narratives. This exploration delves into how ideologies are conveyed, reinforced, or challenged across multiple installments of a film franchise. By analyzing the narrative structures, character developments, and thematic continuities, scholars can uncover the underlying messages and societal implications that shape audience perceptions. Analyzing Ideology and Narratology in Film Series, Sequels, and Trilogies explores the complex narrative and ideological dimensions within multi-installment cinematic works. It investigates how sequential storytelling in film not only entertains but also reflects and shapes cultural, social, and political ideologies. By examining narrative structures in film series and franchises, this book reveals the subtle ways in which ideologies are constructed, perpetuated, or subverted. Covering topics such as narrative complexity, psychoanalytical analysis, and ideology, this book is a valuable resource for academicians, researchers, post-graduate students, educators, sociologists, and more. © 2024 by IGI Global. All rights reserved.
Anime Narratives and 3D CG Aesthetics
(Cambridge University Press, 2024) Bedir, S.Ç.
TV anime’s reliance on 2D-limited animation techniques was born in the 1960s out of budgetary constraints, but since then it has been embraced as a defining feature, especially in shōnen (boys) anime. This genre famously features protagonists who perform miraculous actions with unpredictable outcomes, the details of which can be conveniently left unvisualized under the guise of stylistic omission. Today, however, as 3D modeling and animation techniques are integrated more and more visibly into the animation pipeline, the relatively easier portrayal of seamless physical performance as spectacle may conflict with the mystery of how the shōnen hero operates. This chapter seeks to determine whether the concept of “3D anime” is plausible and how the shōnen anime narrative remains animeesque in terms of causal ambiguity. © Cambridge University Press & Assessment 2024.
Applicability of a Digitalization Model Based on Augmented Reality for Building Construction Education in Architecture
(Emerald Group Publishing Ltd, 2023) Guray, Tayibe Seyman; Kismet, Burcu
Purpose The purpose of this paper is to introduce a digitalization model (DM) for building construction courses in architectural education as a response to the recent emerging technologies in the era of digital transformations. This DM is developed and applied through augmented reality (AR) technologies to boost perception, understandings and ability to solve building construction details. Design/methodology/approach Based on a thorough review of recent technologies like AR, virtual reality (VR), building information modelling (BIM) and their applications in architectural education, the methodology involves the generation of a model, its application and evaluation. The model is based on the integration of BIM and AR which is applied into a third year "Building Construction Project" course. Each student has designed a residential building and accordingly prepared the construction drawings by adapting the DM. An online survey -based on Technology Acceptance Model - is conducted to evaluate the DM by quantitative data analysis from SPSS and Excel. Findings The key findings of the study include the following items: determination of the proper digital tools, the definition of the steps and workflow based on the building project phases to develop construction drawings and define precise details effectively. By the help of this, the DM is generated and applied. According to the survey and results, the DM which involves BIM-based AR is considered as beneficial, highly motivating and providing better perception on construction details. Originality/value Implication of AR/VR technologies is frequently seen in design studios, whereas building construction courses state its traditional approach. However, there is a huge potential in the digitalization of building construction education by increasing the perception of students together with the increased level of communication. The study aims to close the gap of digitalization by proposing a DM, which brings a systematic approach considering each phase of building construction project as conceptual, schematic, design development and construction documents by using BIM integrated AR. Moreover, the novel model specifically brings a new approach by generation of QR codes for construction details to embed videos or simulations into the two-dimensional drawing sheets. Furthermore, the DM proposes a new approach to satisfy emerging needs and requirements of the Architecture Engineering Construction industry.
Applications of Exosome Vesicles in Different Cancer Types as Biomarkers
(Bentham Science Publishing Ltd, 2024) Ihlamur, Murat; Kelleci, Kubra; Zengin, Yagmur; Allahverdiyev, M. Adil; Abamor, Emrah Sefik
One of the biggest challenges in the fight against cancer is early detection. Early diagnosis is vital, but there are some barriers such as economic, cultural, and personal factors. Considering the disadvantages of radiological imaging techniques or serological analysis methods used in cancer diagnosis, such as being expensive, requiring expertise, and being time-consuming, there is a need to develop faster, more reliable, and cost-effective diagnostic methods for use in cancer diagnosis.Exosomes, which are responsible for intercellular communication with sizes ranging from 30-120 nm, are naturally produced biological nanoparticles. Thanks to the cargo contents they carry, they are a potential biomarker to be used in the diagnosis of cancer. Exosomes, defined as extracellular vesicles of endosomal origin, are effective in cancer growth, progression, metastasis, and drug resistance, and changes in microenvironmental conditions during tumor development change exosome secretion. Due to their high cellular activity, tumor cells produce much higher exosomes than healthy cells. Therefore, it is known that the number of exosomes in body fluids is significantly rich compared to other cells and can act as a stand-alone diagnostic biomarker. Cancer-derived exosomes have received great attention in recent years for the early detection of cancer and the evaluation of therapeutic response.In this article, the content, properties, and differences of exosomes detected in common types of cancer (lung, liver, pancreas, ovaries, breast, colorectal), which are the leading causes of cancer-related deaths, are reviewed. We also discuss the potential utility of exosome contents as a biomarker for early detection, which is known to be important in targeted cancer therapy.
Applying Entropy Weighting and 2-Tuple Linguistic T-Spherical Fuzzy MCDM: A Case Study of Developing a Strategic Sustainability Plan for Istanbul Airport
(MDPI, 2024) Mizrak, Filiz; Polat, Levent; Tasar, Sezin Acik
This study presents a novel sustainability plan tailored for Istanbul Airport, leveraging advanced decision-making methodologies to address the urgent need for sustainable practices in aviation. By integrating the entropy weighting and 2-tuple linguistic T-spherical fuzzy multi-criteria decision-making (MCDM) models, the study offers a comprehensive approach to evaluating and prioritizing sustainability criteria based on expert input from 12 professionals. The novelty of this research lies in its unique combination of advanced MCDM techniques with cutting-edge technologies, including IoT-enabled monitoring systems, digital twin models, blockchain-based sustainability reporting, and carbon capture initiatives, tailored specifically for large-scale airport operations. The study develops a phased implementation roadmap comprising three stages: (1) a short-term focus on energy efficiency and renewable energy infrastructure, achieving significant cost reductions within a 3-7.5-year payback period; (2) medium-term initiatives integrating IoT and digital twins to enhance operational efficiency; and (3) long-term measures incorporating carbon capture and blockchain for transparency and compliance. Key implementation steps include upgrading energy systems, deploying IoT sensors, creating digital replicas of airport infrastructure, and establishing regulatory and stakeholder collaboration frameworks. This research contributes a replicable framework for airports worldwide, bridging theoretical models with actionable solutions.
An Approach to Predicting the Effect of Shadows from Surrounding Buildings on the Performance of Solar Photovoltaic
(Gazi Üniversitesi, 2025) Yongkuan, S.; Wei, N.; Shanwu, Z.; Garip, I.
For a photovoltaic system in an urban building, building shadow occlusion is an often-encountered problem, photovoltaic array covered area will change with time, resulting in the photovoltaic array output volt-ampere performance curve being also different with time. With the engineering analytical model of silicon solar cells, the series-parallel of electrical circuits theory, and the solar Angle change formula, an approach to predicting the effect of shadows from surrounding buildings on the performance of solar photovoltaics is established. The simulation results show the difference of the PV array’s I-V and P-V performance curves with periods. An actual test is carried out for the completed photovoltaic project with building shadow occlusion, and the comparison with Matlab simulation I-V and P-V performance curve proves the predicting model can describe the output performance of the PV array with building shadow occlusion. © (2025), (Gazi Universitesi). All rights reserved.
Architects of Innovation: How Visionary Leadership Shapes and Drives Innovative Human Resources Management Practices
(IGI Global, 2024) Aktaş, B.N.
This chapter examines and evaluates the complex interaction between visionary leadership and innovative human resources management (HRM) practices. Through a comprehensive review of the literature, analysis of key visionary leadership characteristics, and a focused-empirical study, the chapter reveals how visionary leaders' risk-taking and communication styles contribute to the development and deployment of innovative HRM practices within organizations. The objective is to deepen the knowledge of how innovative HRM practices are shaped and propelled by leadership, specifically visionary, while also providing new perspectives that may guide both academic inquiry and hands-on approaches to leadership development and HRM improvement. © 2024, IGI Global. All rights reserved.
Art as an Apparatus of the Invisible Sublime in Severance
(Springer Nature, 2024) Bayrak Shahmiri, B.
This essay analyzes the process of blending styles and visual layering in Severance, as well as the artistic elements that create the atmosphere and narrative. With its cold color scheme, large empty spaces, and references to minimalist painters as well as the uncanny landscapes of Edward Hopper, the show uses modernist aesthetics to underline the solitary nature of the individual. In addition, the Kantian, nature-originated sublime found in nineteenth-century paintings of artists such as Caspar David Friedrich and Frederic Edwin Church is warped through the cut-and-paste inserts of video game forms and the rearticulation of their elements in order to create a fluid palimpsest of technological and mythical sublime. © The Editor(s)(if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.
Artificial Intelligence in Quality Control and Product Development
(Elsevier, 2025) Aydınocak, E.U.
Product development and continuous improvement have become a high priority for the chemical industry due to factors such as increasing competition, new technologies, more demanding customers, greater product variety, and shorter product life cycles. The increasing pressure on product development has led chemical companies to evaluate the stages of the product development process carefully. In product development, preparation and technical analysis are particularly critical. The knowledge and experience gained in the preparation phase can eliminate risky and costly activities in the later stages of the process. In addition, the testing and evaluation phases are critical elements that can provide meaningful feedback before commercialization. Another issue that chemical manufacturers work on, both for new and existing products, is quality control (QC). Manufacturers need to ensure that the product’s quality meets customer expectations. Making QC processes more efficient is one of the issues the industry has been working on for a long time. Therefore, using artificial intelligence (AI) technologies in product development and QC has become inevitable. McKinsey asserted that the implementation of AI has the potential to enhance market fit by up to 50%, achieve product performance improvements ranging from 15 to 60%, attain up to 50% increased workplace productivity, and facilitate a reduction in time to market of up to 40%. According to the research conducted by Bain & Company, AI is predicted to result in a 20% reduction in engineering hours and a 5-30% reduction in costs. © 2026 Elsevier Inc. All rights reserved.
Artificial Intelligence Technologies and Ethics in Educational Processes: Solution Suggestions and Results
(Univ Malaga, 2024) Kolemen, Cansu Sahin
Artificial intelligence is a technology used to imitate the human-like thinking and decision-making abilities of computer systems. This technology enables computers to perform complex tasks such as data analysis, learning, problem solving and decision making. It is used in the field of education as well as in every field. While the use of artificial intelligence in the field of education provides advantages such as providing personalized learning experiences to students, providing teachers with intuition about student performance and developing educational materials, the ethical dimension should not be ignored. Therefore, the aim of this study is to produce solutions to ethical problems in the teaching and evaluation processes of artificial intelligence technologies in education. Qualitative research method was used in this study. It has adopted the phenomenological research approach among qualitative research methods. The concept of phenomenon is also the ethics of artificial intelligence. The working group consists of teachers, educational technologists and academicians. When selecting the working group, it was taken into consideration that there were teachers who use artificial intelligence applications in education and academics and technologists working in this field. Document analysis and focus group interviews were used as data collection tools. Content analysis was performed on the data obtained. According to the results of the study, ethical problems encountered with the use of artificial intelligence in education were identified and solution suggestions were offered.
Artificial Intelligence: A New Paradigm for Leadership
(IGI Global, 2024) Aktaş, B.N.
This chapter explores the transformative role of technology, particularly artificial intelligence (AI), in reshaping leadership within organizational contexts. The ongoing advancement of technology has brought about significant changes in the workplace, particularly in relation to the roles of AI automation, that has led to a reevaluation of conventional job responsibilities and a restructuring of the path humans interact with computers. Based upon pre-existing research pertaining to the convergence of AI and leadership, this chapter provides an analysis of the effects of AI-driven transformations on leadership styles and the consequent need for the cultivation of new leadership competencies. The chapter places significant emphasis on the need of connecting AI capabilities with leadership attributes, underscoring the importance of achieving congruence between AI and leadership providing insights into the manner in which AI impacts strategic decision-making procedures, possible ethical considerations, and the prospective trajectory of leadership in the period dominated by AI. © 2024, IGI Global. All rights reserved.
The Association of Subordinates' Perception of the Manager's Ambiguous Behaviors with the Likelihood of Conflict Occurrence: A Cross-Cultural Study
(IACM-NCMR-INT Assoc Conflict Management, 2024) Honuk, Hizir; Kucuk, Burcu Aydin; Caglar, Cihan Tinaztepe
The research aims to provide evidence to explain the contradictive findings in the literature on the organizational conflict phenomenon and the relationship between conflict and culture, by focusing on the relationship between ambiguous behaviors and conflict. To achieve this goal, in the context of low-status compensation theory, the relationship between incivility, humor as ambiguous behaviors, and the likelihood of manager- subordinate conflict occurrence was investigated. To test the culture's effect on this relationship, survey data were collected from 478 white-collar subordinates working in SMEs in Turkey and the UK. According to the results, the subordinate's perception of the manager's ambiguous behaviors affects the likelihood of relationship conflict and task conflict occurrence. In addition, the study reveals that culture is associated with the likelihood of relationship conflict occurrence but not task conflict. The study contributes to the literature by providing evidence for the relationship between humor, incivility, conflict, and culture.
Authoritarian Neoliberalism and Resistance in Turkey Construction, Consolidation, and Contestation Introduction
(Palgrave Macmillan, 2022) Borsuk, Imren; Dinc, Pinar; Kavak, Sinem; Sayan, Pinar
While capitalism has been associated with democracy for a long time, the neoliberalisation that has coincided with the rise of populism and authoritarian resurgence in the global context demands further inquiry into the relationship between capital accumulation and political regimes. The growing literature on authoritarian neoliberalism examines the relationship between authoritarian governance and neoliberalisation, and interrogates how neoliberal reforms buttress the legal, administrative, and coercive power of states, creating leverage for ruling governments to enhance authoritarian forms of governance. While these studies highlight the vulnerability of these regimes and emphasise their crisis-laden character, there is a need for an extensive analysis of the dynamics of resistance in authoritarian neoliberal regimes to understand the limits and potentials of counter-hegemonic practices. Using in-depth case studies, this book demonstrates the repertoires of resistance against authoritarian neoliberalism in Turkey and discusses how different sections of society, including NGOs, bureaucrats, media, workers, marginalised communities and activists, challenge or reinforce neoliberal policies with their claims, tactics, strategies, and discourses. Drawing upon multidisciplinary scholarship from sociology, politics, law, media, urban development, and feminist studies, this book sheds light on the capacity of resistance to challenge the authoritarian forms of the neoliberal regime from within.

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