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Citation - Scopus: 3
Solving Optimization Problem With Particle Swarm Optimization: Solving Hybrid Flow Shop Scheduling Problem With Particle Swarm Optimization Algorithm
(Springer, 2021) Madenoğlu, Fatma Selen
The flow shop scheduling problem is widely discussed in the literature since it is frequently applied in real industry. This paper presents a variant of flow shop scheduling problem with parallel machines. The proposed problem includes multistage and identical parallel machines at each stage, and the sequence-dependent setup time and transportation time are considered. The objective function is minimization of makespan. The particle swarm optimization algorithm (PSO) is addressed to solve the problem and compared with genetic algorithm and heuristics. The benchmark instances are generated to demonstrate the performance of the PSO. The numerical results show that the PSO significantly outperforms the comparison set. © 2021 Elsevier B.V., All rights reserved.
Stimuli-Responsive and Self-Assembled Sericin Materials for Various Applications
(Elsevier, 2025) Arabaci, N.; Demirbas, A.; Dadi, S.; Dogan, F.; Öçsoy, I.
The silkworm cocoon's structural integrity is maintained by sericin, which acts as a sticky binding layer that envelops the fibroin fibers, effectively holding them together. In the silk industry, sericin is removed from the structure of fibroin during the degumming process in order to provide the silk's whiteness, softness, and smoothness and also to make it dyeable. Sericin, which is separated from the fibroin of the cocoon by the degumming process in the textile industry in the production of silk fabric, is discarded as waste material. This waste helps cell attachment, proliferation, and differentiation in sericin-based materials, owing to its biocompatibility, biodegradability, and bioactivity features. Due to all these specific features, sericin protein is involved in the production of various biomaterials such as films, hydrogels, scaffolds, conduits, fibers, and devices used in tissue engineering and regenerative medicine. © 2025 Elsevier B.V., All rights reserved.
Isothiocyanates as Drug Candidates in Cancer Prevention and Treatment
(IGI Global, 2023) Saylan, Demet; Cebeci, Fatma
Cancer is the second most common cause of death worldwide. Many methods such as surgery, chemotherapy, radiation therapy, etc. are being used for treatment. Most patients have a combination treatment with chemotherapy along with surgery or radiotherapy or both. Chemotherapy kills cancer cells by preventing them from reproducing, growing, and spreading in the body. Recently, safer alternatives to chemotherapy have been discovered and developed, as most of the drugs used in cancer treatment have side effects and a serious impact on patient comfort. As an alternative, the phytochemicals found in daily consumed plants are attractive candidates for clinical/pre-clinical evaluation because of their higher safety. In this context, certain degradation products of glucosinolates (isothiocyanates) are promising agents for cancer prevention and treatment. © 2023 Elsevier B.V., All rights reserved.
Citation - WoS: 5
Citation - Scopus: 4
Single-Country Versus Multiple-Country Studies
(Academic Press Ltd-Elsevier Science Ltd, 2019) Aslan, Alper; Dogan, Eyup; Altinoz, Buket
Citation - Scopus: 19
Polymeric and Small-Molecule Semiconductors for Organic Field-Effect Transistors
(wiley, 2015) Usta, Hakan; Facchetti, A. F.
This chapter reviews the achievements in the development of molecular and polymeric semiconductors for charge transport in thin-film transistors (TFTs). In particular, it introduces the basic concepts of organic semiconductor structure and organic thin-film transistor (OTFT) operation and then focuses on initial studies and works. Organic semiconductors for OTFTs must possess two essential structural features for their successful implementation in printed electronics. The first feature is a π-conjugated core/chain composed of linked unsaturated units. The second feature is core functionalization with solubilizing substituents, which is essential for inexpensive manufacture by solution methods as well as for enhancing solid-state core interactions. There are several advantages in using polymeric versus molecular p-conjugated semiconductors. Isoindigo has become a popular conjugated moiety in polymer semiconductor design because of its strong electron-withdrawing character. Polymeric p-channel TFTs have reached new heights, with hole mobilities unthinkable only few years back and surpassing 10 cm2V-1 s-1. © 2018 Elsevier B.V., All rights reserved.
Citation - Scopus: 1
Managing Transportation in Supply Chain: Metaheuristics for Solving a Capacitated Fixed-Charge Transportation Problem
(IGI Global, 2021) Madenoğlu, Fatma Selen
Supply chain management is the managing of all processes of goods, services, and information from suppliers to customers. Transportation network design is an important part of effective supply chain management. This chapter presents the two-stage fixed-charge transportation problem in a supply chain to minimize the total cost containing the opening cost of distribution centers, transportation cost from manufacture to distribution centers and from distribution centers to customers, and fixed cost for transportation from distribution centers to customers. There are the capacity constraints on distribution centers in order to consider real life situations in this chapter. A constructive based algorithm and a population-based algorithm are proposed to solve this complex optimization problem. Taguchi experimental design is applied for determining the best combinations of parameters. The experimental studies are conducted to compare the performance of the proposed algorithms according to solution quality. © 2022 Elsevier B.V., All rights reserved.
Citation - Scopus: 7
Effluent Treatment in Denim and Jeans Manufacture
(Elsevier Ltd, 2015) Uzal, Niǧmet
This chapter discusses the major strategies that should be considered in the treatment of denim dyeing and jeans processing wastewater. It first gives an overview of wastewater characteristics and further elaborates on the different techniques currently available for treating wastewater. There follow the strategies to be adopted for water reuse and the recovery of dyes and chemicals. Also emphasised is the utilisation of novel technologies that provide waste minimisation, recovery and reuse opportunities and pollution prevention, instead of end of pipe approaches for treating this highly polluted wastewater. © 2017 Elsevier B.V., All rights reserved.
Citation - Scopus: 14
Integrating Infrastructure and Accessibility in Measures of Bespoke Neighbourhoods
(Edward Elgar Publishing Ltd., 2020) Östh, John; Türk, Umut
The Frozen Conflict in the Consociational System of Bosnia
(Bloomsbury Publishing Plc., 2020) Dönmez, Rasim Özgür; Dönmez, Burcu Albayrak
Citation - Scopus: 2
People’s Republic of China
(Springer Nature, 2022) Alsancak, İbrahim; Aydın, Güldenur; Islam, Md Nazmul
The People’s Republic of China (PRC) was established on October 1, 1949, and it is governed by a single-party system, The Communist Party of China (CCP). The president is also the Chinese Communist Party’s leader. The People’s Republic of China’s (PRC) new Constitution was approved in 1982. The Presidency of the People’s Republic of China, the State Council, the Central Military Commission, the National People’s Congress, the Political Consultative Conference of the People of China, the Supreme Court, and the Attorney General are the central organs of the state. Although PRC does not define itself as a federal state, it has five autonomous regions, territories, counties, rural towns, and it has created some constitutional governance understanding for these local governments. NGOs are recently developing in China. China is also leading country about artificial intelligence and high techs. © 2023 Elsevier B.V., All rights reserved.
Citation - Scopus: 1
Measurement of Autophagic Activity in Cancer Cells With Flow Cytometric Analysis Using Cyto-Id Staining
(Humana Press Inc., 2025) Şansaçar, Merve; Gencer Akçok, Emel Başak
Autophagy is an evolutionarily conserved process providing the energy that cells need to survive, especially in stress situations, through catabolic processes. Considering the dual role of autophagy in cancer cells depending on the cellular context, it is crucial to comprehend the effect of drug candidates put forward to prevent cancer through the autophagy pathway. The CYTO-ID® Autophagy Detection Kit allows a rapid, specific and quantitative measurement of autophagic activity at the cellular level using a 488 nm-excitable green fluorescent detection reagent via flow cytometer. In this chapter, we present the CYTO-ID® Autophagy Detection method with a stepwise protocol to monitor the autophagy flux after the application of any compound to suspension cancer cell lines with flow cytometric analysis. © 2025 Elsevier B.V., All rights reserved.
Lead Blast Furnace Dust Recycling
(Springer Science and Business Media Deutschland GmbH, 2023) Top, S.; Altiner, Mahmut; Kursunoglu, Sait
The recycling of lead (Pb), which has a limited reserve in the world, has great importance in terms of sustainable and efficient use of resources. Currently, more than half of the lead, which is the softest of base heavy metals, is recovered by recycling. In addition to the insulation of the cables and its use as a radiation shield, lead is mostly used in the manufacture of lead-acid batteries (LABs). Generally, lead smelting flue dust, also known as lead smelting fly ashes, formed during the smelting stage in secondary Pb production is fed back into the smelter. However, the impurities contained in this dust and the other required specifications for feeding into the furnace prevent dust from being fed back into the furnaces. Therefore, it is essential to evaluate these by-products with an effective process and to obtain valuable content from them. In this chapter, firstly the characterization of lead smelting flue dust has been investigated. Afterwards, the processes that can be applied to obtain contents such as Pb, Sb, Zn, and As from these materials were compiled from the literature and a comprehensive review study was presented. © 2023 Elsevier B.V., All rights reserved.
Citation - Scopus: 4
A Bi-Criteria Approach to Scheduling in the Face of Uncertainty: Considering Robustness and Stability Simultaneously
(Nova Science Publishers, Inc., 2014) Gören, Selçuk; Sabuncuoĝlu, Ihsan
It is possible to scrutinize impacts of uncertainty on schedules from two different perspectives. The flrst one has to do with the fact that schedules are required to main- tain high performance in the face of uncertainty. In other words, it is desired that their performances are insensitive to negative impacts of disruptions. We refer to this view- point as the robustness perspective. The second viewpoint is about another quality: when a schedule is executed in the shop floor, the realized schedule is required not to deviate much from its initial version. This is because many activities besides pro- duction are planned based on the production schedule. It is important that unforeseen disruptions affect the plans for these activities as little as possible. We refer to this viewpoint as the stability perspective. Even though a considerable body of literature has emerged on hedging schedules against the negative effects of unforeseen disrup- tions in the last two decades, few studies address the problem of scheduling under uncertainty from both the robustness and the stability perspectives at the same time. The nature of the relation between robustness and stability, the trade-off between them, the circumstances under which they conflict or reconcile need to be thoroughly inves- tigated. To this end, we propose a bi-criteria approach to simultaneously investigate the robustness and stability of production schedules. We consider proactive schedul- ing in a single machine environment with random processing times. We use the total expected flow time and the total variance of job completion times as the robustness and stability measures, respectively. The proposed o-constraint variants are exact methods to generate the set of all Pareto-optimal schedules. We also develop an algorithm to generate a flxed number (set by the decision-maker) of near-Pareto-optimal schedules to deflne the characteristics and the shape of the trade-off curve without generating the entire Pareto set. Our computational experiments indicate that the proposed algorithms are efflcient. © 2018 Elsevier B.V., All rights reserved.
Citation - Scopus: 3
ROSE: A Novel Approach for Protein Secondary Structure Prediction
(Springer Science and Business Media Deutschland GmbH, 2021) Görmez, Yasin; Aydin, Zafer
Three-dimensional structure of protein gives important information about protein’s function. Since it is time-consuming and costly to find the structure of protein by experimental methods, estimation of three-dimensional structures of proteins through computational methods has been an efficient alternative. One of the most important steps for the 3-D protein structure prediction is protein secondary structure prediction. Proteins which contain different number and sequences of amino acids may have similar structures. Thus, extracting appropriate input features has crucial importance for secondary structure prediction. In this study, a novel model, ROSE, is proposed for secondary structure prediction that obtains probability distributions as a feature vector by using two position specific scoring matrices obtained by PSIBLAST and HHblits. ROSE is a two-stage hybrid classifier that uses a one-dimensional bi-directional recurrent neural network at the first stage and a support vector machine at the second stage. It is also combined with DSPRED method, which employs dynamic Bayesian networks and a support vector machine. ROSE obtained comparable results to DSPRED in cross-validation experiments performed on a difficult benchmark and can be used as an alternative to protein secondary structure prediction. © 2021 Elsevier B.V., All rights reserved.
Citation - Scopus: 12
Realizing the Wireless Technology in Internet of Things (IoT)
(Springer Singapore, 2018) Κogias, DImitrios G.; Michailidis, Emmanouel T.; Tuna, Gürkan; Güngör, Vehbi Çağrı
The evolution of the Internet of Things (IoT) has been highly based on the advances on wireless communications and sensing capabilities of smart devices, along with a, still increasing, number of applications that are being developed which manage to cover various small and more important aspects of every people's life. This chapter aims at presenting the wireless technologies and protocols that are used for the IoT communications, along with the main architectures and middleware that have been proposed to serve and enhance the IoT capabilities and increase its efficiency. Finally, since the generated data that are spread in an IoT ecosystem might include sensitive information (e.g., personal medical data by sensors), we will also discuss the security and privacy hazards that are introduced from the advances in the development and application of an IoT environment. © 2019 Elsevier B.V., All rights reserved.
Spatial Interdependencies
(Edward Elgar Publishing Ltd., 2025) Türk, U.; Östh, J.
This is a definition of spatial interdependencies in the Thematic Encyclopedia of Regional Science. This thematic Encyclopedia explores the multifaceted world of regional science, presenting a systematic and coherent overview of its central topics. It highlights the interdisciplinary nature of the field, examining the wide range of concepts, theories, methods and models that shape spatial-oriented approaches to the social sciences. Contributions from expert scholars delve into key aspects of regional science, from urban poverty and natural resource management to smart cities and AI. Highly accessible entries cover the definition, history, theoretical background, and applications of each topic, as well as avenues for future research. © 2025 Elsevier B.V., All rights reserved.
Pleiotropic Molecular Effects of Dietary Polyphenols Resveratrol and Apigenin in Leukemia
(Elsevier, 2018) Adan, Aysun; Oğuz, Osman
Resveratrol and apigenin are commonly found polyphenols in many fruits and vegetables and recognition of these dietary polyphenols for human health owing to their biological and pharmacological features including antiinflammatory and antioxidative functions has increased recently. In addition to direct antioxidative effects, they have impacts on various important signaling pathways dysregulated in cancer, genetic and epigenetic regulators, transcription factors and even on miRNAs as anticarcinogenic compounds. Numerous in vitro and in vivo studies have demonstrated their pleiotropic molecular mechanisms of action in cancer, particularly in solid tumors. However, in recent years, significant progress has been made in studying the antileukemic effects of resveratrol and apigenin at the cellular and molecular levels. Herein, we have critically discussed the main molecular targets of resveratrol and apigenin and their promising potential as chemopreventive agents as well as their limitations, with a special emphasis on leukemias. © 2021 Elsevier B.V., All rights reserved.
Citation - Scopus: 1
Sustainable Development Goals: People and Places Chose What They Do Not Have
(Edward Elgar Publishing Ltd., 2023) Cavalheiro Ponce Dentinho, Tomás Lopes; Kopczewska, Katarzyna; de Francesco, Giovanni; Pascariu, Gabriela Carmen; Kourtit, Karima; Nijkamp, Peter; Türk, Umut
Green Magnetic Nanoparticles: Recent Advancements in Synthesis and Characterization
(Elsevier, 2024) Alrifai, Wardishan Kassem; Dadi, Seyma; Öçsoy, Ismail
Various types of nanoparticles (NPs) have been used in numerous scientific and industrial fields. Specifically, magnetic nanoparticles (MNPs) have drawn great attention in the last two decades concerning their synthesis, development, functionality, and relevant applications in a variety of areas including data storage, wastewater treatment, catalysis, bio-separation, and medicine. Several strategies have been developed to synthesize MNPs with various shapes, sizes, and compositions. The magnetization performance of MNPs is directly dependent on their high size, size distribution, composition, and crystallinity of the NP. The highly crystalline, monodisperse, and uniform MNPs called “high-quality MNPs” with unique magnetic properties have been synthesized by chemical synthesis method in the presence of hydrophobic surfactant (long hydrocarbon chain) and nonpolar solvents at high temperatures; however, these MNPs are toxic, insoluble in water and lack of use in all bio-related applications. To use these MNPs in biological applications, it is mandatory to apply a ligand exchange process to remove hydrophilic ligands and make MNPs soluble and stable in aqueous solutions. To address these issues, green synthesis methods using biomolecules, plant extracts, and microorganisms have been developed for the synthesis of biocompatible MNPs. This chapter aims to display recent developments in the synthesis of MNPs with green synthesis methods and in their characterization. © 2024 Elsevier B.V., All rights reserved.
Modulation in Molecular Signaling
(Springer Science+Business Media, 2020) Yilmaz, Huseyin Birkan; Kuran, Mehmet Şükrü; Demirkol, Ilker

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