Sürdürülebilir Kalkınma Amaçları
Yazarlar
- Altuner, Elif Esra(8)
- Şimşek, Ahmet Bahadir(7)
- Bozbeyoglu, Pinar(6)
- Bekar, Fevziye(5)
- Şimşek, Tuğçe(5)
- Cengiz, Emre(4)
- Maden, Nafiz(4)
- Tang, Thomas Li-Ping(4)
- Özbek, Mehmet Ferhat(4)
- Şimşek, Ahmet Bahadır(4)
- Şimşek, Aybala(4)
- Akande, Adebowale(3)
- Akdu, Uğur(3)
- Al-Zubaidi, Abdulqawi Salim(3)
- Allen, Michael W.(3)
- Ansari, Mahfooz A.(3)
- Arias-Galicia, Fernando(3)
- Aslan, Emre Ş.(3)
- Borg, Mark G.(3)
- Canova, Luigina(3)
- Charles-Pauvers, Brigitte(3)
- Chen, Jingqiu(3)
- Cheng, Bor-Shiuan(3)
- Chiu, Randy Ki-Kwan(3)
- Correia, Rosário(3)
- De La Torre, Consuelo Garcia(3)
- Dogan, Kadir Caner(3)
- Doğan, Kadir Caner(3)
- Du, Linzhi(3)
- Elmas, Muzaffer(3)
- Garber, Ilya E.(3)
- Ibrahim, Abdul Hamid Safwat(3)
- Jen, Chin-Kang(3)
- Kazem, Ali Mahdi(3)
- Kim, Kilsun(3)
- Kostas, Rabia Yasa(3)
- Lim, Vivien Kim Geok(3)
- Luna-Arocas, Roberto(3)
- Malovics, Eva(3)
- Manganelli, Anna Maria(3)
Yayınlar
- Kitap BölümüYalnız künye2026Remuneration and Duties in Ottoman Waqfs: The Case of Hafsa Sultan Waqf (Sixteenth to Eighteenth Centuries)
Karademir, Ayşenur
Ottoman charitable endowments, known as waqfs, were established by the sultan, his family, and the members of the ruling class, serving as primary employment institutions during the classical period. These waqfs offered a broad range of social services through various public structures, thereby employing a vast number of individuals with diverse skills and educational backgrounds across the empire. This study focuses specifically on wage determination within the Manisa Waqf of Hafsa Sultan, the mother of the renowned Sultan Süleyman the Magnificent, established in 1523. The waqf complex outlined in the endowment deed, comprised a mosque, a primary school, a madrasa, a dervish lodge (hankah) and a soup-kitchen (imaret). Subsequently, it expanded to include a hospital (dârüşşifâ) and a Turkish bath (hamam). Starting with an analysis of the endowment deed, this study further examines the seventeenth and eighteenth-century accounting books retrieved from the Ottoman Archives. These records reveal various aspects, including the waqf’s expansion, the increasing employment individuals, changes in daily wages over time, in-kind payments, challenges encountered during inflationary periods, and practical measures implemented to mitigate these issues.
- Kitap BölümüYalnız künye2026Fungi-Derived Food Additives and Flavors
Arpa Zemzemoğlu, Tuba Eda; Eker, Tülin
The growing global population, the decline in edible food sources, technological advancements, and limited time have led to significant changes in society's eating habits. The increasing preference for ready-to-eat and semi-prepared foods has also resulted in higher consumption of food additives. In today's conditions, food additives are used at various stages of the food supply chain, from farm to fork, for different purposes. However, excessive intake of food additives may have negative health effects. For this reason, there has been a growing interest in natural food additives in recent years. Due to their functional properties, edible mushrooms are widely used as versatile ingredients in food product development. This chapter aims to determine the potential of edible mushrooms as food additives. Edible mushrooms can be used as meat substitutes in various food products, reducing fat and animal protein content while increasing dietary fiber and amino acid levels. When used as fat replacers, they lower fat levels in processed foods and enhance sensory properties. When incorporated as flour substitutes in baked goods, they boost dietary fiber, protein content, and antioxidant capacity. Additionally, mushrooms act as natural salt and phosphate substitutes, reducing sodium levels in meat products and replacing synthetic additives while maintaining sensory acceptability and product quality. Mushrooms also have great potential as natural colorants. Their natural origin, low-cost and high-yield production, and wide color spectrum make them suitable for use as food additives. These multifunctional roles of edible mushrooms highlight their potential to enhance nutritional profiles and promote sustainability in food formulations.
- Kitap BölümüYalnız künye2026A Policy-Aligned Integrated Index Framework for Environmental Impact Assessment Monitoring and Reporting Using the Best Worst Method
Şimşek, Aybala; Şimşek, Ahmet Bahadır
Environmental Impact Assessment generates growing volumes of monitoring data, yet reporting still tends to treat indicators as separate signals rather than parts of a coherent evaluative structure. This chapter responds to that gap by developing a policy-aligned integrated index for monitoring and reporting in EIA. The proposed framework links environmental indicators to ESG themes, SDG targets, and European Green Deal priorities, then uses the Best Worst Method to derive transparent and defensible weights. Rather than presenting the index as a substitute for detailed evidence, the chapter treats it as a structured synthesis that can clarify how monitoring results relate to policy commitments and reporting needs. An illustrative application shows how the framework can organise indicators, support interpretation, and remain sensitive to alternative weighting choices. The chapter concludes by outlining the practical value and limits of using integrated indices in EIA contexts.
- Kitap BölümüYalnız künye2026Prioritising Digital Talent Initiatives in Universities: Evidence From Turkey
Şimşek, Tuğçe; Şimşek, Aybala; Şimşek, Ahmet Bahadır
Universities are under growing pressure to advance digital transformation, yet priorities in digital talent management often remain unclear. This chapter develops a document-based multi-criteria decision framework to identify and compare such priorities across universities of different institutional scale in Türkiye. Drawing on public strategic plans, quality reports, distance education documentation, and staff development texts from Anadolu, Sakarya, and Tarsus Universities, the study constructs a decision matrix covering three initiatives and six evaluation criteria. Criterion weights are calculated through entropy, and initiative rankings are generated with TOPSIS. The findings show that digital infrastructure support has the strongest discriminating power. Strengthening distance education and LMS infrastructure emerges as the top priority, followed by a needs-based in-service training system and a digital competence development programme. The chapter offers a transparent and transferable framework for setting scale-sensitive digital transformation priorities in higher education.
- Kitap BölümüYalnız künye2026Catalytic Nanocomposites in Oxidative on Adsorptive Delsulfurization Process: A Comprehensive Review
Altuner, Elif Esra; Bozbeyoglu, Pinar; Özkan, Vildan; Ozkan, Abdullah
Humanity's need for energy is an undeniable fact, and this reality is increasing day by day. To meet its growing energy needs, humanity has turned to fossil fuels. Fossil fuels are fuels derived from animal and plant fossils formed over millions of years. However, the excessive use of fossil fuels for energy needs has created a dangerous situation that threatens to deplete fossil fuel reserves. Furthermore, the burning of fossil fuels releases toxic emissions. These emissions cause serious health problems for living organisms and also harm the ecosystem. These gases include sulfate (SO2) and sulfur derivatives, carbon dioxide (CO2), carbon monoxide, and nitrogen oxide derivatives (NOx). This chapter focuses on catalytic techniques using nanocomposite materials for the removal of SO2 and sulfur derivatives, with detailed references to relevant sources. SO2 and sulfur gases are harmful gases released by the combustion of fossil fuels. Nanocomposite production methods include sol- gel formation, gel shaping, chemical vapor deposition (CVD), and physical vapor deposition (PVD), layered production, electrospinning, mechanical and ultrasonic techniques, additive manufacturing, and melting mixture. Desulfurization processes using these methods are as follows: (i) oxidative desulfurization, photocatalytic desulfurization, and absorptive- catalytic desulfurization. All techniques are explained with references to the relevant sources. This chapter provides theoretically important information for researchers working on nanotechnological catalytic studies in desulfurization.
- Kitap BölümüYalnız künye2026Control Tower-Driven Multi-Echelon Inventory Positioning in Pharmaceutical Supply Chains
Şimşek, Ahmet Bahadır; Şimşek, Aybala
Pharmaceutical supply chains face high shortage risk when demand uncertainty interacts with lead-time variability, while shelf-life limits, cold-chain requirements, and quality-release delays raise the cost of both stockouts and excess inventory. This chapter proposes a control tower–driven decision-support framework for multi-echelon inventory positioning that converts visibility into actionable policies. A multi-echelon optimization module generates candidate target-stock and reorder policies across manufacturing and distribution echelons. Monte Carlo–based scenario analysis tests robustness under demand, lead-time, and disruption uncertainty. An MCDA layer then ranks policies using total cost, service level, shortage probability, expediting intensity, days of supply, and recovery time, with sensitivity analysis when weights are uncertain. The framework provides a signal-to-decision map, event-triggered policy updates, and a compact metric dictionary for shortage-risk management without proprietary field data.
- Kitap BölümüYalnız künye2026Bio-based and Biodegradable Nanocomposites for Clean Energy Applications
Bozbeyoglu, Pinar; Altuner, Elif Esra
The growing global demand for energy and the environmental concerns associated with fossil fuels have accelerated the search for sustainable alternatives. Bio-based and biodegradable nanocomposites represent a new generation of materials that combine ecological compatibility with superior mechanical, thermal, and electrical properties. This chapter provides a comprehensive overview of bio-based polymer matrices (such as PLA, PHA, PBS, PEF, PVA, and natural polymers like cellulose, chitosan, and lignin) and their integration with nanofillers, including graphene, carbon nanotubes, TiO2, ZnO, and nanoclay. The synergistic effects of these hybrid structures are discussed in the context of clean energy technologies, such as solar cells, fuel cells, batteries, supercapacitors, and piezoelectric nanogenerators. In addition, the chapter highlights green synthesis routes, characterization methods, life cycle assessment (LCA), and industrial perspectives, emphasizing how nanocomposite design bridges performance enhancement with environmental sustainability.
- Kitap BölümüYalnız künye2026Artificial Intelligence Nanocomposite Synergy for Next-Generation Fuel Desulfurization
Kostas, Rabia Yasa; Bozbeyoglu, Pinar; Altuner, Elif Esra; Elmas, Muzaffer
Fuel desulfurization is crucial due to the harmful effects of acid rain, air pollution, and health issues associated with sulfur compounds from fossil fuel combustion. Stricter international regulations require reducing sulfur content in fuels to ultra- low levels (<15 ppm), which current hydrodesulfurization (HDS) technology struggles to achieve due to high energy costs and inefficiencies with refractory aromatic sulfur compounds, such as dibenzothiophene (DBT). This gap in technology is driving the development of new solutions. This study explores the integration of materials science, chemical engineering, and artificial intelligence (AI) to meet ultra- low sulfur targets. It highlights alternative strategies, such as adsorptive (ADS) and oxidative (ODS) desulfurization, using advanced nanocomposite materials, including MetalOrganic Frameworks (MOFs), graphene hybrids, and zeolites. These innovative materials focus on “precision targeting” and “molecular recognition,” offering greater efficiency under milder conditions compared to traditional HDS methods AI and computational science are crucial for identifying the most suitable materials among a vast array of candidates. Combining Density Functional Theory (DFT) with Machine Learning (ML) accelerates material discovery by transitioning from a trial- and- error approach to an “inverse design” method. Successful AI tools, including Artificial Neural Networks (ANNs) and Genetic Algorithms (GAs), have been proven effective in optimising desulfurization processes through real- world examples. In summary, achieving cleaner fuels requires innovative materials guided by AI. The study also addresses the challenges of scaling this interdisciplinary approach and envisions the potential for transforming desulfurization from a cost centre into a profit centre through precise molecular separation.
- Kitap BölümüYalnız künye2026Rethinking IoT Security in the Era of Quantum Computing: Literature Reviews
Hanna, Yacoub; Tonyali, Samet; Harrilal-Parchment, Ricardo; Akkaya, Kemal
As cryptographically relevant quantum computers get scaled up and stabilized, traditional cryptographic systems are one step closer to being obsolete, necessitating the development of robust and future-proof alternatives. This chapter investigates the landscape of quantum-based algorithms and protocols, with a focus on their applicability to the Internet of Things (IoT) ecosystem, ranging from low-power edge sensors to more capable embedded systems. The theoretical basis and practical applications of Quantum Resistant Cryptography (QRC) and Quantum Key Distribution (QKD) are analyzed, examining their computational requirements, energy consumption, scalability, and integration possibilities in IoT architectures with limited resources. In particular, how various Post-Quantum Cryptography (PQC) schemes, such as lattice-based, code-based, and hash-based cryptography, perform across different classes of IoT hardware is discussed. The chapter further investigates ongoing standardization efforts, implementation obstacles, and innovative solutions specifically designed for heterogeneous IoT environments. Moreover, the feasibility of QKD in resource-constrained scenarios is examined, including low-power QKD implementations for embedded and edge devices in IoT networks. Also, the trade-offs between security and efficiency are discussed, considering real-world deployment scenarios and resource constraints. Furthermore, a comprehensive threat model is presented, and the security of current literature is analyzed based on this model. By combining insights from recent literature, a comprehensive understanding of how quantum-based security methodologies can be integrated across the IoT spectrum is provided to guarantee long-term security resilience in the era of quantum computing. This chapter aims to serve as a foundational reference for researchers and practitioners seeking to build quantum-resistant or quantum-enabled IoT infrastructures.
- Kitap BölümüYalnız künye2026Plant-Mediated Synthesis of Functional Nanocomposites for Clean Energy and Environmental Sustainability
Özkan, Abdullah; Özkan, Vildan; Bozbeyoğlu, Pınar; Altuner, Elif Esra
Plant-mediated synthesis has emerged as a sustainable method for producing functional nanocomposites with diverse applications, including clean energy, photocatalysis, electrochemical storage, and environmental cleanup. This approach differs from traditional chemical processes, which often require harsh conditions; instead, plant-derived systems combine reduction, nucleation, stabilization, and assembly in a single reaction environment. Phytochemicals such as polyphenols, flavonoids, and proteins act as both reducing agents and structure-directing agents, enabling the formation of various materials under gentle conditions.
- Kitap BölümüYalnız künye2026The Influence of the Anglo-American Alliance on Shaping Iranian Foreign Policy
Topal, Coşkun; Bülbül, Berke; Maden, Nafiz
Since the 19thcentury, Britishoilinterests and geopoliticalbalancing against Russia positionedIran as a criticalbuffer zone. The Anglo-American-backed1953Operation Ajax generateda traumatic collective memory that formedthe ideological foundation of Iranian foreign policy after the 1979 Revolution. In the post-revolutionary era, Tehran transitioned into a security-oriented state, adopting severe anti-imperialist rhetoric against US and UK. Confronting US economic sanctions, “rogue state” labeling, andnuclearcounter-pressures, Iranbuiltasymmetricresistancemechanisms through the “Shia Crescent” and regional proxy networks. Meanwhile, diplomatic crises with UK, such as the Salman Rushdie affair, further hardened this defensive stance. This study examines how Iran transforms Anglo-American threat perceptions into a source of regime legitimacy and strategic autonomy.
- Kitap BölümüYalnız künye2026Privacy, Fairness, and Model Risk Governance in Sustainable People Analytics
Şimşek, Tuğçe; Şimşek, Ahmet Bahadır
Whilst sustainability targets are driving organisations to make more intensive use of human data, this trend is transforming HR analytics from a reporting tool into a component of decision-making architecture. This transformation is expanding the scope of data collection, increasing the visibility of employees, and intertwining privacy, fairness, perceptions of surveillance, and model risk within the same process. This study addresses the question of how this interplay can be managed at the project level. A literature review has been combined with an analysis of publicly available corporate documents, from which a compact toolkit for sustainable HR analytics has been derived. The toolkit is structured around defining project boundaries, documenting data and model assumptions, matching risks with controls, and ensuring transparency and human oversight. In this way, the chapter provides a practical framework that ensures analytical capacity is considered alongside organisational legitimacy and employee trust.
- Kitap BölümüYalnız künye2026Green-Synthesized Nanocomposites for Sustainable Fuel Desulfurization: Advances and Challenges
Ozkan, Abdullah; Ozkan, Vildan; Bozbeyoglu, Pinar; Altuner, Elif Esra
The mounting global demand for energy signifies that we must depend on fossil fuels, which engenders environmental degradation and precipitates the emission of substantial quantities of sulfur oxides (SOx). Protecting themselves from environmental pollution is a top priority for many countries. Proper removal of sulfur- containing compounds from fossil fuels is becoming a major focus. Fuels such as diesel, fuel oil, and gasoline are particularly important in this regard. Fuels such as diesel, fuel oil, and gasoline are particularly important in this regard. The numerous negative consequences of traditional hydrodesulfurization (HDS) methods are what researchers focus on, and these methods are limited. Some examples of these negative effects include higher costs, the use of too much pressure and temperature, and using too much hydrogen. Scientific studies show that biosourced nanocomposite materials are good for desulfurization methods because they can reduce the potential negative consequences. Using raw materials such as microorganisms, biopolymers, and plant extracts is one of the most important ways to increase energy efficiency and eliminate chemical emissions. The large surface areas, enhanced active site homogeneity, and diverse functional groups of nanocomposite materials obtained from such biosourced raw materials make them promising candidates for use in adsorptive and oxidative desulfurization processes. Metal- metal oxide (Fe, Ni, Cu, TiO2) and carbon- based (graphene, carbon nanotube, and biochar- supported) nanocomposites are particularly preferred for achieving high sulfur removal with low energy consumption. The provision of information on the production methods, chemical properties, sulfur removal methods, and recent scientific research on biosourced nanocomposites is the purpose of this section. In addition, the environmental benefits, economic benefits, and potential roles of biosourced materials in alternative energy systems are discussed.
- Kitap BölümüYalnız künye2026Artificial Intelligence-Assisted Design and Optimization of BioNanocomposites for Biomedical and Environmental Applications
Bozbeyoglu, Pinar; Kostas, Rabia Yasa; Altuner, Elif Esra; Elmas, Muzaffer
Bio-nanocomposites, produced from renewable resources, stand out as one of the promising next-generation material classes for both biomedical and environmental applications due to their biocompatible and biodegradable structures.However, the vast and complex design space of these materials, which depends on numerous variables including the type of biopolymer matrix and the type and concentration of the nanostructured filler, makes their optimization quite challenging with traditional “trial-and-error” based research methods.This study provides a general overview of an artificial intelligence (AI)-based methodology that holds the potential to overcome this complexity.In this context, the limitations of the traditional “forward screening” approach are discussed, and the “inverse design” paradigm, based on the idea of “designing a material with desired properties,” is proposed as a solution.The study outlines the potential roles of various AI tools in this field, from supervised learning models to deep learning approaches and optimisation algorithms.This theoretical framework is substantiated by practical case studies that range from drug delivery to sustainable packaging.The case studies demonstrate how AI not only enables the prediction of properties but also facilitates strategically developing materials for a particular function, thereby accelerating the discovery process.Finally, current challenges, such as data scarcity and the interpretability of models, are addressed, and future visions to overcome these obstacles, including physics-informed AI, autonomous discovery platforms, and human-AI partnerships, are discussed.It is concluded that this synergy has the capacity to stimulate a new era of innovation in sustainable materials science.
- Kitap BölümüYalnız künye2026Sustainability and Environmental Management in Aviation: The Role of Green Approaches
Yalvaç, Güler
The aviation sector holds a strategic position due to its contributions to global economic growth and transport infrastructure, but it is also the subject of intense debate in the context of sustainability due to its environmental impact. This study was conducted to examine the role of green approaches and environmental management in aviation management. Strategies for reducing carbon emissions, energy efficiency, waste management and renewable energy use are particularly emphasised. The study highlights that the adoption of sustainable practices by airlines and airport management is critical not only for environmental benefits but also for corporate reputation, competitive advantage and customer satisfaction. The feasibility of implementing green approaches as a strategic management model in aviation is discussed, and an exemplary model is proposed. At the same time, the necessity of an environmentally friendly transformation in the sector is emphasised.
- Kitap BölümüYalnız künye2026Smart Nanocarriers and AI-Driven Release Systems for Targeted Antibiotic Delivery
Kostas, Rabia Yasa; Bozbeyoglu, Pinar; Altuner, Elif Esra; Elmas, Muzaffer
The antimicrobial resistance (AMR) crisis is not merely a consequence of the emergence ofresistant pathogens. Furthermore, the remaining shortcomings oftraditional antibiotic production and development processes have become a profound health threat, exacerbated by their pharmaceutical and pharmacokinetic limitations. This book chapter redefines the AMR crisis as a problem of drug and treatment discovery as well as drug delivery to target tissues, and examines the technological angle emerging at the intersection of nanotechnology and artificial intelligence (AI) in response to this problem. This review begins by examining the problems inherent in traditional antibiotic architecture, such as systemic toxicity, low bioavailability, poor stability, and, most importantly, the inability to penetrate protected sites such as bacterial biofilms or intracellular bunkers. Copyright © 2026 by IGI Global Scientific Publishing. All rights reserved. No part of this publication may be reproduced, stored or distributed in any form or by any means, electronic or mechanical, including photocopying, without written permission from the publisher. Use of this publication to train generative artificial intelligence (AI) technologies is expressly prohibited. The publisher reserves all rights to license its use for generative AI training and machine learning model development.
- Kitap BölümüYalnız künye2025The Robust Method for Solving the Conformable Time-Fractional Klein–Gordon Equation
Anaç, Halil
The present study used the conformable fractional q-Shehu homotopy analysis transform method to investigate the conformable time-fractional Klein–Gordon equations with proportional delay. The numerical answers to this problem are graphed using Maple software. The efficacy and consistency of the proposed method have been demonstrated through numerical simulations.
- Kitap BölümüYalnız künye2025Investigation of Fractional Order Genesio-Tesi System Using Laplace Transformation
Bekiryazici, Zafer; Sengul, Suleyman; Merdan, Mehmet
In this paper the fractional-order Genesio-Tesi chaotic system is investigated with Laplace transformation method. Genesio-Tesi system is a three-dimensional equation system with quadratic nonlinearity and is frequently used for exemplifying chaotic systems. In this study, Caputo fractional derivative is used to obtain the fractional system and Laplace transformation is applied in order to analyze the explicit solutions of the system.
- Kitap BölümüYalnız künye2025Assessment of Türkiye's Healthcare Quality Standards Using the FUCOM Method: FUCOM Method
Bolayir, Banu
This study aims to determine the importance ranking of healthcare quality standards in Türkiye. The latest version of the Healthcare Quality Standards-Hospital (Version 6.1) was used as the healthcare quality standards in Türkiye. The FUCOM method, one of the multi-criteria decision-making (MCDM) methods, was employed to rank the importance of these standards. To use this method, a questionnaire based on the healthcare quality standards was filled out by six experts. The data obtained from the questionnaire were transferred to Microsoft Excel Solver, and the FUCOM method was used with this program. Using the FUCOM method, the local importance weights of the main criteria and sub-criteria were initially determined. Then, the criteria were ranked based on these weights. Subsequently, after determining the global importance weights of the sub-criteria considering the local importance weights of both the main criteria and sub-criteria, their rankings were also established based on these weights.
- Kitap BölümüYalnız künye2025Income Inequality and Environmental Protection Expenditures Nexus Bootstrap Panel Rolling Window Causality Analysis.
Sentürk, Nazlı Keyifli; Sentürk, Suat Hayri; Karakurt, Birol
The relationship between environmental protection expenditures and income inequality is undoubtedly a critical issue in terms of social justice and sustainable development. In societies with high income inequality, environmental protection expenditures are generally lower. This is because low-income individuals tend to have less motivation to develop awareness of environmental issues or to support environmental protection policies. On the other hand, in societies where income is more equitably distributed, environmental protection expenditures tend to increase. A key factor behind this is that a larger segment of society views environmental.