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Evaluating the simultaneous electrochemical determination of antineoplastic drugs using LaNiO3/g-C3N4@RGH nanocomposite material
(Elsevier, 2024) Bouali, Wiem; Erk, Nevin; Sert, Buse; Harputlu, Ersan
A novel electrochemical sensor based on LaNiO3/g-C3N4@RGH nanocomposite material was developed to simultaneously determine Ribociclib (RIBO) and Alpelisib (ALPE). Ribociclib and Alpelisib are vital anticancer medications used in the treatment of advanced breast cancer. The sensor exhibited excellent electrocatalytic activity towards the oxidation of RIBO and ALPE, enabling their simultaneous detection. The fabricated sensor was characterized using various techniques, including energy dispersive X-ray (EDX), Fourier-transform infrared spectroscopy (FTIR), X-ray diffraction (XR), scanning electron microscopy (SEM), and X-ray photoelectron spectroscopy (XPS), which confirmed the successful synthesis of the LaNiO3/g-C3N4@RGH composite material. Electrochemical characterization revealed enhanced conductivity and lower resistance of the modified electrode compared to the bare electrode. The developed sensor exhibited high repeatability, reproducibility, stability, and selectivity toward RIBO detection. Furthermore, the sensor displayed high sensitivity with low detection limits of 0.88 nM for RIBO and 6.1 nM for ALPE, and linear ranges of 0.05–6.2 μM and 0.5–6.5 μM, respectively. The proposed electrochemical sensor offers a promising approach for simultaneously determining RIBO and ALPE in pharmaceutical formulations and biological samples with recovery data of 98.7–102.0 %, providing a valuable tool for anticancer drug analysis and clinical research.
Dualities over the cross product of the cyclic groups of order 2
(American Institute of Mathematical Sciences, 2024) Dougherty, S.T.; Şahinkaya, Serap
We determine the number of symmetric dualities on the s-fold cross product of the cyclic group of order 2, which is the additive group of the finite field F2s. We show that the ratio of symmetric dualities over all dualities goes to 0 as s goes to infinity.We also prove a surprising result that given any two binary codes C and D of the same length n with |C||D| = 2n, then viewing them as groups there is a symmetric duality M with CM = D, which also relates their weight enumerators as additive codes in a group via the MacWilliams relations. Using this theorem we show that any additive code in this setting can be viewed as an additive complementary dual code of length 1 with respect to some duality.
Exploring smart drug delivery platforms through the adsorption of chlormethine anticancer by an iron-enhanced metallofullerene
(Elsevier, 2024) Saadh, M.J.; Dhiaa, S.M.; Hussein, A.H.A.; Karim, M.M.; Idan, A.H.; Mirzaei, M.; Mosaddad, S.A.; Salem-Bekhit, M.M.
Representative iron-enhanced metallofullerenes including FeC24, FeC23, and FeC22 models were assessed for the adsorption of chlormethine (CMT) anticancer towards the development of smart drug delivery platforms. To this aim, density functional theory (DFT) calculations were performed to examine the structural and electronic features of models in the singular and conjugated states. Formations of CMT@FeC24, CMT@FeC23, and CMT@FeC22 conjugated complex systems were achieved by a major role of iron-enhanced region for making successful communications with the CMT substance. Two configurations were found for each conjugated complex system by the CMT relaxation at the metallofullerenes with meaningful results for adsorbing, retaining, and releasing processes of the adsorbed drug. The results of electronic features showed possibility of conducting a sensing function for the metallofullerenes during the adsorption of CMT substance. Consequently, the investigated conjugated complex systems were proposed towards the development of smart drug delivery platforms especially by the formation of CMT@FeC22 system.
Electromyographic analysis of the traditional and spin throwing techniques for goalball games related to ball velocity for selected upper extremity muscles
(BMC Sports Science, Medicine and Rehabilitation, 2024) Gökçen, Ayşenur; İnce, Gonca; Alcan, Veysel
Goalball is a popular sport among visually impaired individuals, offering many physical and social benefits. Evaluating performance in Goalball, particularly understanding factors influencing ball velocity during throwing techniques, is essential for optimizing training programs and enhancing player performance. However, there is limited research on muscle activation patterns during Goalball throwing movements, needing further investigation to address this gap. Therefore, this study aims to examine muscle activity in sub-elite visually impaired Goalball players during different throwing techniques and visual conditions, focusing on its relationship with ball velocity. Methods: 15 sub-elite Goalball players (2 female, 13 males; mean age of 20.46 ± 2.23 years) participated in the study. Muscle activity was evaluated with the Myo armband, while ball velocity was measured using two cameras and analyzed with MATLAB software. Different visual conditions were simulated using an eye band, and the effects of these conditions on muscle activation and ball velocity were examined. Results: The flexor muscles were found to be more active during the spin throw techniques with the eyes open (p = 0.011). The extensor muscles were found to be more active in the eyes-closed spin throw techniques compared to the eyes-open position (p = 0.031). Ball velocity was found related to the flexor muscles. Interestingly, no significant differences in ball velocity were observed between different throwing techniques or visual conditions (p > 0.05). Conclusions: Ball velocity, one of the performance indicators of the athlete, is primarily related to upper extremity flexor muscle strength rather than visual acuity. It has less visual acuity, but an athlete with more upper-extremity flexor muscle strength will have an advantage in Goalball game. The spin throw technique, which is reported to provide a biomechanical advantage for professional players in the literature, did not provide an advantage in terms of ball velocity for the sub elite players evaluated in our study. This knowledge can inform the development of targeted training programs aimed at improving technique and enhancing ball velocity in Goalball players.
Antimicrobial activity enhancement of PVA/chitosan films with the additive of CZTS quantum dots
(Springer Link, 2023) Ceylan, Seda; Küçükosman, Rıdvan; Yurt, Fatma; Özel, Derya; Öztürk, İsmail; Demir, Didem; Ocakoğlu, Kasım
The wound environment is a breeding ground for pathogens, and traditional wound dressing materials lack antibacterial properties. In this work, we aimed to develop PVA/chitosan (P/C)-based wound dressing scaffolds with anti-infective properties using Cu2ZnSnS4 quantum dots (CZTS QDs) to prevent infections in the wound. CZTS quantum dots were prepared by a simple hydrothermal process and characterized using appropriate techniques such as TEM, XRD, FTIR spectrum, and UV-Vis absorption spectroscopy. CZTS QDs were subsequently loaded at different concentrations onto PVA/chitosan membranes (0, 1.6, 2.5 and 3.3% w/w, based on the total polymer quantity). The chemical structure, contact angle and mechanical properties of the membranes were analyzed, and their antimicrobial activities and cell viability were also investigated. The cytocompatibility of the membranes and cell morphology was investigated using a 3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide assay and SEM. Based on studies on the interactions between membranes and cells, it was determined that incorporation of CZTS QDs into the membrane did not cause toxicity. To the best of our knowledge, this is the first report on loading CZTS QDs into membranes for tissue engineering applications, and the overall findings suggest that CZTS QDs-integrated membranes might have potentially appealing uses as antimicrobial films for wound healing.
Boron-based magnesium diboride nanosheets preparation and tested for antimicrobial properties for PES membrane
(Elsevier, 2023) Küçükosman, Rıdvan; Işık, Zelal; Ocakoğlu, Kasım; Dizge, Nadir; Özdemir, Sadin
Antimicrobial resistance to antibiotics for current bacterial infection treatments is a medical problem. 2D nanoparticles, which can be used as both antibiotic carriers and direct antibacterial agents due to their large surface areas and direct contact with the cell membrane, are important alternatives in solving this problem. This study focuses on the effects of a new generation borophene derivative obtained from MgB2 particles on the antimicrobial activity of polyethersulfone membranes. MgB2 nanosheets were created by mechanically separating magnesium diboride (MgB2) particles into layers. The samples were microstructurally characterized using SEM, HR-TEM, and XRD methods. MgB2 nanosheets were screened for various biological activities such as antioxidant, DNA nuclease, antimicrobial, microbial cell viability inhibition, and antibiofilm activities. The antioxidant activity of nanosheets was 75.24 ± 4.15% at 200 mg/L. Plasmid DNA was entirely degraded at 125 and 250 mg/L nanosheet concentrations. MgB2 nanosheets exhibited a potential antimicrobial effect against tested strains. The cell viability inhibitory effect of the MgB2 nanosheets was 99.7 ± 5.78%, 99.89 ± 6.02%, and 100 ± 5.84% at 12.5 mg/L, 25 mg/L, and 50 mg/L, respectively. The antibiofilm activity of MgB2 nanosheets against S. aureus and P. aeruginosa was observed to be satisfactory. Furthermore, a polyethersulfone (PES) membrane was prepared by blending MgB2 nanosheets from 0.5 wt to 2.0 wt %. Pristine PES membrane also has shown the lowest steady-state fluxes at 30.1 ± 2.1 and 56.6 L/m2h for BSA and E. coli, respectively. With the increase of MgB2 nanosheets amount from 0.5 to 2.0 wt%, steady-state fluxes increased from 32.3 ± 2.5 to 42.0 ± 1.0 and from 15.6 ± 0.7 to 24.1 ± 0.8 L/m2h, respectively for BSA and E. coli. E. coli elimination performance of PES membrane coated with MgB2 nanosheets at different rates and the membrane filtration procedure was obtained from 96% to 100%. The results depicted that BSA and E. coli rejection efficiencies of MgB2 nanosheets blended PES membranes increased when compared to pristine PES membranes.
Immobilization of Alpha-Amylase onto Ni2+ Attached Carbon Felt: Investigation of Kinetic Parameters from Potato Wastewater
(Wiley, 2023) Acet, Ömür; İnanan, Tülden; Öndül Koç, Eda; Sert, Buse; Önal Acet, Burcu; Odabaşı, Mehmet; Ocakoğlu, Kasım; Dizge, Nadir
α-amylase is an important enzyme for textile, food, paper, and the pharmaceutical industrial areas. In this study, Ni2+ attached carbon felt structures with nitrogen active site (Ni2+-N-ACF) are produced. The surface morphologies of the N-ACF and Ni2+-N-ACF are investigated by means of scanning electron microscopy (SEM) analysis. Ni2+ ions binding on the N-ACFs are determined by energy dispersive X-ray (EDX) analysis and a graphite furnace atomic absorption spectrometer (AAS). The effect of pH, ionic strength, initial α-amylase concentration, and temperature parameters is investigated for α-amylase immobilization on Ni2+-N-ACF structures. In addition, pH and temperature effect on the activities of the free and the immobilized amylase, kinetic parameters, storage, and operational stabilities are made. Lastly, starch degradation in potato waste water is tested on Ni2+-N-ACF. The obtained results show that α-amylase immobilized Ni2+-N-ACF can be used for starch degradation on an industrial scale.
The different impacts of g-C3N4 nanosheets on PVDF and PSF ultrafiltration membranes for Remazol black 5 dye rejection
(Wiley, 2023) Şenol Arslan, Dilek; Gül, Ayşe; Dizge, Nadir; Ocakoğlu, Kasım; Uzal, Nigmet
Membranes combined with nanoparticles are an excellent combinationcapable of successfully removing various contaminants, such as dyes fromwastewater while using very little energy and decreasing pollution. The pre-sent study reports an efficient approach for Remazol Black 5 (RB5) dyeremoval using composite graphitic carbon nitride nanosheets (g-C 3 N 4 ), poly-sulfone (PSF), and polyvinylidene fluoride (PVDF) membranes. The mem-branes were prepared using the phase inversion method, with varyingquantities of g-C 3 N 4 nanosheets ranging from 0.1%, 0.2% to 0.3%. The preparedg-C3 N4 nanosheets were characterized by FTIR, SEM analyses, and zeta poten-tial measurements. FTIR and SEM studies, contact angle, water permeability,COD, and dye rejection measurements were used to characterize the g-C3 N4nanosheets embedded in PSF and PVDF membranes. After the addition of0.3 wt% g-C3 N 4 , the water flux of the 0.3 wt% g-C 3 N4 embedded PSF mem-brane was the highest, whereas the water flux of the 0.3 wt% g-C3 N4 embeddedPVDF membrane was the lowest. The ultrafiltration (UF) membrane's perfor-mance with g-C3 N4 embedded showed an RB5 rejection rate of more than 80%and a COD removal efficiency of more than 45%. The results of the experimen-tal filtration showed that RB5 rejection reached maximum values of 91.3% for0.1 wt% g-C3 N 4 /PSF, and 85.6% for 0.3 wt% g-C 3 N4 /PVDF.
Carbonaceous Nanofillers in Medicine Technology
(Springer Link, 2024) Demirdöğen, Ruken Esra; Kaya, Gül; Ocakoğlu, Kasım
Nanofillers (NFs) constitute a remarkable group of nanomaterials that have been used in many different application areas from biomedical to energy systems. They are used to endow favorable mechanical, physical, chemical, and conductivity properties to the different matrices but especially polymeric matrices. NFs are favored fillers over microfillers due to their promising physical and mechanical properties, such as large surface areas, high aspect ratio, high surface energy, scratch resistance, superior barrier properties, enhanced fire-resistant properties, improved heat distortion performance, and less structural defects. They can be classified as organic or inorganic and organic nanofillers and especially carbon nanofillers (CNFs) (e.g., zero-dimensional (0D: fullerenes, carbon dots, carbon nano onions, carbon nanohorns), one-dimensional (1D: nanotubes, nanofibers), two-dimensional (2D: graphene, graphene oxides (GO) and their sheet-like derivatives), and three-dimensional (3D: spherical and cubical nanoparticles, multi-layered GO, graphite, and diamond)). This chapter aimed at providing an overview of carbon nanofillers and their biomedical applications. CNFs are used to form hybrid nanocomposites with various materials in the field of medical technology such as cancer therapy, biosensor applications, neurotransmitter detection, disease and toxicity biomarker detection, tissue engineering, osteogenic applications, antimicrobial activity, drug delivery, and theranostic applications together with a light to their future biomedical applications.
Antibacterial and antioxidant activity of gold and silver nanoparticles in dextran–polyacrylamide copolymers
(Springer Link, 2024) Tkachenko, Anton; Özdemir, Sadin; Tollu, Gülşah; Dizge, Nadir; Ocakoglu, Kasım; Prokopiuk, Volodymyr; Onishchenko, Anatolii; Сhumachenko, Vasyl; Virych, Pavlo; Pavlenko, Vadym; Kutsevol, Nataliya
Search for new antimicrobial agents is of great significance due to the issue of antimicrobial resistance, which nowadays has become more important than many diseases. The aim of this study was to evaluate the toxicity and biological effects of a dextran-graft-polyacrylamide (D-PAA) polymer-nanocarrier with/without silver or gold nanoparticles (AgNPs/D-PAA and AuNPs/D-PAA, respectively) to analyze their potential to replace or supplement conventional antibiotic therapy. The toxicity of nanocomplexes against eukaryotic cells was assessed on primary dermal fibroblasts using scratch, micronucleus and proliferation assays. DPPH (2,2-diphenyl-1-picrylhydrazylradical) assay was used to evaluate the antioxidant capacity of D-PAA, AgNPs/D-PAA and AuNPs/D-PAA. DNA cleavage, antimicrobial and biofilm inhibition effects of nanocomplexes were investigated. Nanocomplexes were found to be of moderate toxicity against fibroblasts with no genotoxicity observed. AgNPs/D-PAA reduced motility and proliferation at lower concentrations compared with the other studied nanomaterials. AgNPs/D-PAA and AuNPs/D-PAA showed radical scavenging capacities in a dose-dependent manner. The antimicrobial activity of AgNPs/D-PAA against various bacteria was found to be much higher compared to D-PAA and AuNPs/D-PAA, especially against E. hirae, E. faecalis and S. aureus, respectively. D-PAA, AgNPs/D-PAA and AuNPs/D-PAA showed DNA-cleaving and biofilm inhibitory activity, while AgNPs/D-PAA displayed the highest anti-biofilm activity. AgNPs/D-PAA and AuNPs/D-PAA were characterized by good antimicrobial activity. According to the findings of the study, AgNPs/D-PAA and AuNPs/D-PAA can be evaluated as alternatives for the preparation of new antimicrobial agents, the fight against biofilms, sterilization and disinfection processes. Our findings confirm the versatility of nanosystems based on dextran-polyacrylamide polymers and indicate that AgNPs/D-PAA and AuNPs/D-PAA can be evaluated as alternatives for the preparation of novel antimicrobial agents.
A New Design to Enhance the Enzyme Activities: Investigation of L-Asparaginase Catalytic Performance by IMAC Effect on g-C3N4 Nanolayers
(Springer Link, 2024) Sert, Buse; Acet, Ömür; Noma, Samir Abbas Ali; Osman, Bilgen; Odabaşı, Mehmet; Ocakoğlu, Kasım
Recently, graphite carbon nitride (g-C3N4) has come to the fore as a new material with its carbon-based two-dimensional structure, simple preparation procedure, and excellent physicochemical stability properties. This study aims to investigate the activity and kinetic studies of the L-asparaginase enzyme via immobilized metal ion affinity chromatography (IMAC) process of g-C3N4 nanolayers. Firstly, g-C3N4 nanolayers were synthetized and Ni2+ ions were binded their surfaces. The synthesized samples were investigated by SEM, ICP-MS, XRD, and FTIR. The highest L-ASNase adsorption on Ni2+-g-C3N4 nanostructures was 444.1 mg/g, at 3 mg/mL L-ASNase concentration. Optimal medium conditions for L-ASNase adsorption occurred at pH 8.0 and 25 °C. The immobilized enzyme showed improved stability relating to the soluble enzyme in extreme situations. On the other hand, the storage stability and reusability of the immobilized enzyme were found to be approximately 64 and 53% of the original activity after 29 days at room temperature and 10 cycles, respectively. From the Michaelis–Menten constants Km and Vmax, both of them decreased after immobilization compare to the free one. The obtained outcomes showed that the g-C3N4 is a suitable matrix for L-asparaginase immobilization with ideal catalytic efficiency and improved stability.
The electronic and optoelectronic properties of Al/hydroxymethyl functionalized Zn(II)Pc/p-Si photonic device
(Springer Link, 2024) Al-Sehemi, Abdullah G.; Ocakoğlu, Kasım; İnce, Mine; Karabulut, Abdülkerim; Tataroğlu, A.; Dere, Ayşegül; Al-Ghamdi, Ahmed A.; Yakuphanoglu, F.
In this study, the effects of illumination on the electronic and optoelectronic properties of Al/hydroxymethyl functionalized Zn(II)Pc/p-Si/Al photonic device have been investigated under dark and various lighting conditions. The diode’s electronic parameters have been extracted from the current–voltage characteristics. It is observed that the dark current value increases when the light is illuminated on the device, and thus, the photocurrent is formed, and this result has shown that the studied device exhibits a photoconductive behavior. The photoresponse properties of the fabricated device have been examined by transient photocurrent measurements under 100 mW/cm2 illumination, and they have also been analyzed using photocapacitance and photoconductivity measurements at different frequencies (100 kHz, 500 kHz, and 1 MHz). However, the capacitance data that may occur between the poles of the produced device have also been investigated, and it is thought that the device can also be developed as a capacitor. These results confirm that the hydroxymethyl functionalized Zn(II)Pc and p-silicon semiconductor-based device can be used particularly in electro-optic and photonic applications.
Multi-objective Optimization of Engineering Design Problems Through Pareto-Based Bat Algorithm
(Springer Link, 2021) Üstün, Deniz; Carbas, Serdar; Toktaş, Abdurrahim
Although various optimization methods for solving single-objective problems have been developed in the last few decades, these methods have lost their eligibility due to the fact that today’s engineering problems are toward multiple objective optimization problems, in real applications. For single-objective optimization problems, for example, in case of a minimization problem, this value is the decision vector giving the smallest objective that can be achieved within the specified constraints. Hence the minimum decision vector within all possible (feasible) solution vectors is the so-called optimal solution and/or optimal design. However, in multi-objective optimization problems, since a different objective value is generated against each decision vector, the superiority of the solutions over each other is determined by considering the trade-off among the objective values. Therefore, the solution of multi-objective optimization problems, unlike single-objective problems, is a set of vectors rather than a single decision vector. In multi-objective optimization problems, especially if there are intricate objectives, the computational cost of the problem increases. In other words, while synchronously trying to maximize one of the objectives and to minimize another one makes it difficult to find the global optimum design. One of the important techniques used in multi-objective optimization problems is Pareto optimality which enables to select the global optimum solution taking into account the trade-off among all objectives. In this context, using of derivative-based methods has decreased, but the use of metaheuristic methods has increased due to the rapid availability of global optimum solution. This is because the improvements in the field of optimization are progressing in proportion to technology and varying according to the needs. In this chapter, one of the recent metaheuristic optimization methods based on swarm intelligence that is so-called a Pareto-based bat algorithm inspired by the behavior of determining the direction and distance of an object using the echo of the sound called the echolocation of bats is used in order to obtain optimum solutions for multi-objective engineering design problems. In this regard, a four-bar planar truss, a real-sized welded steel beam as well as a multi-layer radar absorber are selected as multi-objective engineering design optimization problems. In case the obtained results (optimal designs) are examined, the potency and the reliability of the proposed multi-objective Pareto-based bat algorithm are demonstrated.
A symbiotic organisms search algorithm-based design optimization of constrained multi-objective engineering design problems
(Emerald Insight, 2021) Üstün, Deniz; Carbas, Serdar; Toktaş, Abdurrahim
Purpose In line with computational technological advances, obtaining optimal solutions for engineering problems has become attractive research topics in various disciplines and real engineering systems having multiple objectives. Therefore, it is aimed to ensure that the multiple objectives are simultaneously optimized by considering them among the trade-offs. Furthermore, the practical means of solving those problems are principally concentrated on handling various complicated constraints. The purpose of this paper is to suggest an algorithm based on symbiotic organisms search (SOS), which mimics the symbiotic reciprocal influence scheme adopted by organisms to live on and breed within the ecosystem, for constrained multi-objective engineering design problems. Design/methodology/approach Though the general performance of SOS algorithm was previously well demonstrated for ordinary single objective optimization problems, its efficacy on multi-objective real engineering problems will be decisive about the performance. The SOS algorithm is, hence, implemented to obtain the optimal solutions of challengingly constrained multi-objective engineering design problems using the Pareto optimality concept. Findings Four well-known mixed constrained multi-objective engineering design problems and a real-world complex constrained multilayer dielectric filter design problem are tackled to demonstrate the precision and stability of the multi-objective SOS (MOSOS) algorithm. Also, the comparison of the obtained results with some other well-known metaheuristics illustrates the validity and robustness of the proposed algorithm. Originality/value The algorithmic performance of the MOSOS on the challengingly constrained multi-objective multidisciplinary engineering design problems with constraint-handling approach is successfully demonstrated with respect to the obtained outperforming final optimal designs.
Design Optimization of Multi-objective Structural Engineering Problems Via Artificial Bee Colony Algorithm
(Springer Link, 2021) Carbas, Serdar; Üstün, Deniz; Toktaş, Abdurrahim
The construction sector constitutes a significant portion of global gross national expenditures with huge financial budget requirements and provides employment for more than one hundred million people. Besides, considering that people spend more than 80% of their time indoors today, it is necessary to make optimal structure designs. This requirement stems from the inadequacy of existing structures in the face of today's changing conditions. Indeed, realistic design optimization of the structures can be done not only by taking into account a single objective but also considering a number of structural criteria. It means that there is inherent multi-purpose in most structural design optimization problems. Thus, it is very difficult engineering task to solve these kinds of problems, as it is necessary to optimize multiple purposes simultaneously to obtain optimal designs. With the help of the improvisation in optimization techniques used for multi-objective structural engineering design, algorithms are provided to achieve the optimal designs by creating a strong synergy between the structural requirements and constraints mentioned in the design specifications. The recent addition to this trend is so-called Artificial Bee Colony (ABC) algorithm which simulates the nectar searching ability of the bees in nature for nutrition. In this chapter, an optimal design algorithm via ABC is proposed in order to obtain the optimum design of multi-objective structural engineering design problems. The applications in design examples have shown the robustness, effectiveness, and reliability of ABC in attaining the design optimization of multi-objective constrained structural engineering design problems.
An Application of the Virus Optimization Algorithm to the Problem of Finding Extremal Binary Self-Dual Codes
(2021) Korban, Adrian; Şahinkaya, Serap; Üstün, Deniz
In this paper, a virus optimization algorithm, which is one of the metaheuristic optimization technique, is employed for the first time to the problem of finding extremal binary self-dual codes. We present a number of generator matrices of the form [I36 | τ3(v)], where I36 is the 36 × 36 identity matrix, v is an element in the group matrix ring M3(F2)G and G is a finite group of order 12, which we then employ together with the the virus optimization algorithm and the genetic algorithm to search for extremal binary self-dual codes of length 72. We obtain that the virus optimization algorithm finds more extremal binary self-dual codes than the genetic algorithm. Moreover, by employing the above mentioned constructions together with the virus optimization algorithm, we are able to obtain 39 Type I and 19 Type II codes of length 72, with parameters in their weight enumerators that were not known in the literature before.
Implementation of Flower Pollination Algorithm to the Design Optimization of Planar Antennas
(Springer Link, 2021) Toktaş, Abdurrahim; Üstün, Deniz; Carbas, Serdar
Flower pollination algorithm (FPA) is an outstanding metaheuristic optimization approach among the recently emerged nature-inspired algorithms. It is built on pollination nature of the flowers, classifying into two categories: biotic and abiotic pollinations. It is observed that the performance of FPA has been well demonstrated through diverse engineering design problems, whereas its efficacy in the design optimization of planar antennas, which are the most important concealed elements in the wireless communication systems, is remained curious in the engineering research topics. In this chapter, FPA is hence applied to the design of planar antennas in order to optimize their shapes and dimensions for the objective function based on resonant bandwidth. The design optimization is carried out through a cooperating platform constituted in this work, communicating MATLAB® with a full-wave simulator named Hyperlynx® 3D EM. Four different planar antennas are hereby designed and optimized for modern wireless communication across a step-by-step procedure. The finally optimized antenna geometries are provided with elaborate dimensions and their performance parameters such as operating frequency band, radiation gain pattern, and peak gain are examined. Therefore, it is shown off that FPA is also effective and successful in the design optimization of planar antennas.
Introduction and overview: nature-inspired metaheuristic algorithms for engineering optimization applications
(Springer Link, 2021) Carbaş,; Toktaş, Abdurrahim; Üstün, Deniz
This chapter provides an introduction and overview of this book content titled Nature-Inspired Metaheuristic Algorithms for Engineering Optimization Applications. This book supplies both theoretical standpoints and practical examples for engineering researchers and/or practitioners taking roles in obtaining optimum designs of engineering applications from various disciplines through the nature-inspired metaheuristic algorithms. Thus, the touchstone of the book is junction of the close contact between theory and practice. The chapters of the book are built on theoretical perspectives through the selected design examples picked out from engineering practices. From this aspect, this book covers different illustrative topics under two different parts which are Part I: Civil and Structural Engineering and Part II: Electrical and Electronics, Computer, and Communication Engineering including variety of nature-inspired metaheuristic algorithms’ applications for numerous engineering design optimization problems. Hence, this book not only provides an elaborative practical and theoretical guide for practitioners, but also leads opportunity for inquiring the both relatively conventional and contemporary metaheuristic algorithms for researches from different fields of engineering disciplines.
Approaching the Minimum Distance Problem by Algebraic Swarm-Based Optimizations
(Dergipark, 2021) Şahinkaya, Serap; Üstün, Deniz
In 1948, Claude Shannon, published ”A Mathematical Theory of Communication,” a seminal paper, which was about reliable data transmission over noisy channels [12]. Efficient and reliable data transmission, which can be done by some error-control techniques, are one of the main interests of coding theory. Error detecting and correcting capability are very important feature of a code and it is determined by the minimum distance of the code. Computing the minimum distance of a linear code C of large length is a difficult problem in coding theory. In [14], Vardy showed that this computation is an NP-hard type. The problem of finding minimum distance is getting harder when the size of the code grows. Therefore, some meta-heuristic algorithms have been used to approach the problem. In most of the existing literature, genetic algorithms are used for the considered problem. As far as our knowledge, among the algorithms in the literature that are based on swarm intelligence, only the ant colony algorithm (ACO) was used for the minimum-weight codeword problem [4,5]. It is well known that there is no heuristic algorithm which can perform good enough to solve optimization problems, please see [13] for details. . Therefore, it is natural to try the other swarm-based optimization techniques for the considered problem. In this paper, bat algorithm (BA) and firefly algorithm (FA) are applied to the minimum distance problem by integrating the algebraic operator to the handled algorithms. Most of the papers in the literature uses codewords as a search space for the minimum distance problem. Recently, generator matrices were considered as a search space, which turned out to be a better approach than using the codewords as a search space, please see [1] for details. In this work, we also consider generator matrices as a search space. In coding theory, the BCH codes or BoseOCoChaudhuriOCoHocquenghemcodes form a class of cyclic error-correcting codes that are constructed using polynomials over a finite field. Effectiveness of the presented algorithm is controlled by running the algorithm on BCH codes since they are the standard codes with known minimum distance values [3, 9]
An image encryption scheme based on an optimal chaotic map derived by multi-objective optimization using ABC algorithm
(Springer Link, 2021) Toktaş, Abdurrahim; Üstün, Deniz; Erkan, Uğur
A novel optimal chaotic map (OCM) is proposed for image encryption scheme (IES). The OCM is constructed using a multi-objective optimization strategy through artificial bee colony (ABC) algorithm. An empirical model for the OCM with four unknown variables is first constituted, and then, these variables are optimally found out using ABC for minimizing the multi-objective function composed of the information entropy and Lyapunov exponent (LE) of the OCM. The OCM shows better chaotic attributes in the evaluation analyses using metrics such as bifurcation, 3D phase space, LE, permutation entropy (PE) and sample entropy (SE). The encrypting performance of the OCM is demonstrated on a straightforward IES and verified by various cryptanalyses that compared with many reported studies, as well. The main superiority of the OCM over the studies based on optimization is that it does not require any optimization in the encrypting operation; thus, OCM works standalone in the encryption. However, those reported studies use ciphertext images obtained through encrypting process in every cycle of optimization algorithm, resulting in long processing time. Therefore, the IES with OCS is faster than the others optimization-based IES. Furthermore, the proposed IES with the OCM manifests satisfactory outcomes for the compared results with the literature.

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