Sürdürülebilir Kalkınma Amaçları
Yazarlar
- Adiguzel, Ragip(1)
- Akansu, Yahya Erkan(1)
- Akmaz, Düzgün(1)
- Antepli, Onurkan(1)
- Artuğer, Fırat(1)
- Aslan korkmaz, Şengül(1)
- Aslan, Serpil(1)
- Aydın, İlhan(1)
- Beken, Atife Tuba(1)
- Benzer, Fulya(1)
- Bilgic, Yilmaz(1)
- Budak, Ümit(1)
- Buyukbayram, Zeliha(1)
- Chauhan, Sumika(1)
- Citlik Saritas, Seyhan(1)
- Doğan, Gürkan(1)
- Doğan, Üzeyir(1)
- Engin, Serhat(1)
- Ergen, Burhan(1)
- Eriani, Kartini(1)
- Erişir, Mine(1)
- Ertarğın, Merve(1)
- Fadli, Nur(1)
- Fırat, Erhan(1)
- Fırat, Kürşat(1)
- Güçlü, Ebru(1)
- Hacıalioğulları, Mustafa(1)
- Hanbay, Davut(1)
- Hekimoğlu, Müge Aliye(1)
- Imak, Andaç(1)
- Kaplan Serin, Emine(1)
- Kaya, B.(1)
- Kocabaş, Filiz Kutluyer(1)
- Korkmaz, Nesrin(1)
- Maulida, Siti(1)
- Mete, Suleyman(1)
- Muchlisin, Zainal Abidin(1)
- Orhan, Ahmet(1)
- Saka, Şahin(1)
- Serin, Faruk(1)
Yayınlar
- MakaleYalnız künye2026Scopus SJRQ2Comparative phytochemical characterization and bioactivity evaluation of hemp (Cannabis sativa L.) root extracts using green extraction technologies
Korkmaz, Nesrin; Yaman, Cennet; Güçlü, Ebru; Doğan, Üzeyir; İmamoğlu, Rızvan; Aslan korkmaz, Şengül
This study investigates the largely untapped therapeutic potential of industrial hemp (Cannabis sativa L.) roots, which are usually discarded as agricultural byproducts. The phytochemical composition and biological activities of extracts obtained using Soxhlet, ultrasound-assisted extraction (UAE), and supercritical CO₂ (SC-CO₂) techniques were comparatively evaluated. Compounds were characterized using FTIR, GC–MS, LC–MS, and ICP-MS. SC-CO₂ extraction yielded the most chemically diverse profile, particularly enriched in fatty acids and triterpenoids. In vitro assays demonstrated that SC-CO₂ and Soxhlet extracts significantly promoted fibroblast migration and reduced inflammatory responses compared to UAE extracts. Gene and protein expression analyses further supported these bioactivities. In conclusion, this study highlights the phytopharmaceutical potential of hemp root extracts obtained using alternative extraction techniques, including supercritical CO₂ extraction. While SC-CO₂ extraction enabled the recovery of a chemically diverse extract, the present study focuses on comparative phytochemical and bioactivity outcomes rather than a quantitative assessment of environmental sustainability. The findings support further investigation of hemp roots, currently treated as an underutilized biomass, for potential applications in natural product research.
AtıfOpenAlex1
İncele - MakaleAçık Erişim2026Scopus SJRQ1A smartphone-based vibration dataset for induction motor fault diagnosis under different speed and load conditions
Ertarğın, Merve; Orhan, Ahmet; Yıldırım, Özal; Chauhan, Sumika; Vashishtha, Govind
Induction motors are foundational components across industrial applications, valued for their inherent robustness, operational simplicity, and cost-efficiency. Maintaining their reliable function is paramount for a wide range of mechanical and electrical systems. However, they are prone to various mechanical and electrical faults, such as bearing defects, rotor issues, and voltage imbalances, which can significantly impair their performance and reliability. This study presents a novel vibration dataset for induction motor fault diagnosis, uniquely acquired using a smartphone-based inertial sensor rather than conventional industrial accelerometers. Vibration signals were recorded along three orthogonal axes (gx, gy, gz), alongside gravity-compensated acceleration components (guserx, gusery, guserz), enabling detailed analysis of both raw and gravity-free vibration characteristics. Data were collected under diverse conditions, including healthy operation and several fault types, across varying rotational speeds and load states. The dataset features long-duration vibration recordings sampled at 100 Hz, suitable for both time-domain analysis and window-based feature extraction. Its inclusion of multiple operating speeds and load conditions is ideal for studying the impact of operational variability on fault signatures. By leveraging low-cost and readily accessible smartphone sensors, this dataset supports practical and accessible vibration data acquisition for supporting the development, benchmarking, and validation of data-driven fault diagnosis methods. This resource is expected to significantly advance research in condition monitoring of induction motor, particularly for machine learning and signal processing applications using vibration data.
- MakaleYalnız künye2026Scopus SJRQ2Synthesis of Aminothiophene derivative complexes and electrochemical sensor application for carbofuran pesticide
Taş, Abdurrahim; İpek, Yeliz; Adiguzel, Ragip
In this study, a ligand named 2-amino-6-ethyl-4,5,6,7-tetrahydrothieno[2,3-c]pyridine-3‑carbonitrile (ATL), which is an aminothiophene ligand, was synthesized. ATL was used to synthesize ATL-Co(II), ATL-Cu(II), and ATL-Zn(II) complexes. The chemical structures of the complexes were elucidated by spectroscopic methods such as FT-IR, UV–visible, and LC-MS analysis, as well as TG-DTA analysis, magnetic susceptibility measurements, and elemental analysis. Finally, the electrochemical characterization of ATL and the electrochemical sensor application of its complexes was performed. In electrochemical sensor studies, a carbofuran pesticide sensor application was investigated. ATL exhibited an irreversible oxidation peak around 1.0 V. It was observed that ATL-Co(II), ATL-Cu(II), and ATL-Zn(II) complexes behaved similarly to ATL and exhibited an irreversible oxidation peak at the same potential. Carbofuran pesticide was added to the sensor medium using the standard addition method. The changes in peak current with different carbofuran concentrations constituted the data of the amperometric sensor application, and the changes in the peak potential constituted the data of the voltammetric sensor application. Linear working ranges, LOD, and LOQ values were calculated for ATL, ATL-Co(II), ATL-Cu(II), and ATL-Zn(II) complexes, separately. The widest operating range as a voltammetric sensor was achieved with the ATL: 20 μmol L−1 to 350 μmol L−1. The lowest LOD and LOQ values were achieved with the ATL-Co(II) complex for voltammetric detection as 8.8 μmol L−1 and 29.2 μmol L−1, respectively. The lowest LOD and LOQ values were achieved with the ATL-Co(II) complex as 1.6 μmol L−1 and 5.2 μmol L−1 with the amperometric technique, respectively.
- MakaleAçık Erişim2025Scopus SJRQ1A new lightweight convolutional neural network model for detecting drivable road regions
Doğan, Gürkan; Uyanık, Hakan; Ergen, Burhan
Nowadays, due to the rapid increase in the number of autonomous vehicles on the market, the safe navigation of these vehicles in drivable road areas has become extremely important. One of the most crucial factors in ensuring safe navigation is addressing the detection of drivable road areas as a task of semantic segmentation. Considering that autonomous vehicles are modular, the algorithm to perform this task must have the optimum trade-off in terms of lightweight, computational complexity, and segmentation accuracy. In this study, RoNet, a new model based on convolutional neural networks that provides an optimum trade-off for the detection of drivable road regions, was designed and proposed. The standard convolution types for the encoder and decoder bottleneck module of the RoNet model, as well as the spatial edge attention mechanism, have been optimized by developing asymmetric convolution types using asymmetric atrous convolution, asymmetric convolution types using Prewitt and Sobel kernels. Spatial edge attention mechanism is designed to reduce the loss of detailed information in small-resolution feature maps. In experimental tests performed with CamVid and FUVid datasets, RoNet achieved a better trade-off in terms of segmentation accuracy, number of parameters, and computational complexity compared to other state-of-the-art methods.
AtıfScopus3WoS3OpenAlex6İncele - MakaleYalnız künye2024Scopus SJRQ2Maxillary sinus detection on cone beam computed tomography images using ResNet and Swin Transformer-based UNet
Çelebi, Adalet; Imak, Andaç; Üzen, Hüseyin; Budak, Ümit; Türkoğlu, Muammer; Hanbay, Davut; Şengür, Abdulkadir
Objectives: This study, which uses artificial intelligence-based methods, aimed to determine the limits of pathologic conditions and infections related to the maxillary sinus in cone beam computed tomography (CBCT) images to facilitate the work of dentists. Methods: A new UNet architecture based on a state-of-the-art Swin transformer called Res-Swin-UNet was developed to detect the sinus. The encoder part of the proposed network model consists of a pre-trained ResNet architecture, and the decoder part consists of Swin transformer blocks. Swin transformers achieve powerful global context properties with self-attention mechanisms. Because the output of the Swin transformer generates sectorized features, the patch expanding layer was used in this section instead of the traditional upsampling layer. In the last layer of the decoder, sinus diagnosis was conducted through classical convolution and sigmoid function. In experimental works, we used a data set including 298 CBCT images. Results: The Res-Swin-UNet model achieved more success, with a 91.72% F1-score, 99% accuracy, and 84.71% IoU, outperforming the state-of-the-art models. Conclusions: The deep learning-based model proposed in the present study can assist dentists in automatically detecting the boundaries of pathologic conditions and infections within the maxillary sinus based on CBCT images.
AtıfScopus21OpenAlex20
İncele - MakaleYalnız künye2023Scopus SJRQ1Effect of type and concentration of cryoprotectant on the motility, viability, and fertility of climbing perch Anabas testudineus Bloch, 1792 (Pisces: Anabantidae) sperm
Maulida, Siti; Eriani, Kartini; Fadli, Nur; Kocabaş, Filiz Kutluyer; Siti-Azizah, Mohd Nor; Wilkes, Martin; Muchlisin, Zainal Abidin
The climbing perch, Anabas testudineus is a freshwater fish that has economic value in Indonesia. It is cultured in the country, but the breeding technology, specifically sperm storage, is not well developed. Sperm cryopreservation is one of the preservation methods that need to be developed to support fish breeding technology. The type of cryoprotectants and its concentration are species-dependent and determines the success of this approach. Therefore, this study is aimed at determining the optimal type and concentration of cryoprotectant for sperm cryopreservation of A. testudineus. Four separate study series were performed, each of which evaluated one type of cryoprotectant at five concentration levels. The cryoprotectants used were DMSO, methanol, glycerol, and ethanol, and the tested concentrations were 0%, 5%, 10%, 15%, and 20%, which were combined with 5% egg yolks. Each treatment was conducted with three replications. The results showed that the type of cryoprotectant and its concentration significantly affected sperm motility, viability, and fertility of climbing perch (P < 0.05). The best outcome was obtained in DMSO, and methanol at a concentration of 10%, glycerol at 5%, and ethanol at 15%. However, the highest motility, viability, and fertility values were observed at 10% DMSO, indicating it is the best type and concentration for sperm cryopreservation of climbing perch A. testudineus.
AtıfScopus10WoS7OpenAlex11İncele - MakaleYalnız künye2022Scopus SJRQ1In vivo and in vitro evolution of the effects of cypermethrin on turbot (Scophthalmus maximus, Linnaeus, 1758) spermatozoa
Beken, Atife Tuba; Saka, Şahin; Aydın, İlhan; Fırat, Kürşat; Suzer, Cüneyt; Benzer, Fulya; Erişir, Mine; Özden, Osman; Hekimoğlu, Müge Aliye; Engin, Serhat
Synthetic pyrethroid pesticide is commonly used in agricultural activities in the Black Sea region during reproduction period of turbot. In this sense, in vivo and in vitro studies have shown that cypermethrin (CYP) could be one of the environmental factors affecting decreasing turbot stocks. In this study, effects of in vivo and in vitro administration of CYP, a synthetic pyrethroid, on sperm kinematics motility (MOT), progressive motility (PM), curvilinear velocity (VCL), straight line velocity (VSL), average path velocity (VAP), linearity (LIN), straight line velocity (STR), amplitude of lateral head (ALH), beat cross frequency (BCF), oxidative stress biomarkers malondialdehyde (MDA), reduced glutathione (GSH), superoxide dismutase (SOD), catalase (CAT), glutathione peroxidase (GPx) and lipid peroxidation (LPO) and also histopathological alterations in gonads were investigated in spermatazoa of turbot (Schopthalmus maximus). Broodstock was supplied from culture origin and used in spawning season, additionally, two (0, 0.187 and 0.218 ppb) and three (0, 1.025, 2.05 and 4.1 ppb) different CYP concentrations were performed for in vivo and in vitro studies, respectively. In vivo and in vitro studies, significant reductions were found in sperm MOT, PM, VCL, VSL, VAP, LIN, and ALH properties depend on the increase in CYP concentrations (p < 0.05). Besides, activities of GSH, GPx, SOD, and CAT increased. In terms of histological alterations, no difference was observed among groups (0, 0.187 and 0.218 ppb) in the maturity stage of the germ cells. According to obtained results, sperm kinematics was affected significantly with increased the dose levels of CYP (p < 0.05).
AtıfScopus6OpenAlex8İncele - MakaleYalnız künye2022Scopus SJRQ2A new signal processing approach/method for classification of power quality disturbances
Akmaz, Düzgün
The disadvantage of conventional signal processing methods used for Power Quality (PQ) classification is that their mathematical calculations are complex. Therefore, it is necessary to develop simple, effective, and fast signal processing tools to analyze the PQ signal. In this study, a new signal processing method with simple mathematical operations based on the Integer Factor (IF) down sampling/Approximation Derivatives (AD) was developed to analyze PQ signals. IF was employed to analyze the signals at various sampling frequencies, while the AD method was employed to obtain different degrees of detail and approximation coefficients for the signals. In order to prove that the IF/AD signal processing method can perform a fast and detailed signal processing analysis, the IF/AD method and the Discrete Wavelet Transforms (DWT)/Multiresolution method, which is one of the basic signal processing methods, were compared. It was determined that the developed signal processing method has analyzed PQ disturbances in a shorter time and in more detail than DWT/Multiresolution method. After it was determined that the IF/AD method was effective in the analysis of PQ signals, a new classification method based on the IF-AD signal processing approach, the Slime Mould feature selection algorithm, and Support Vector Machine was developed. The classification method was applied to synthetic signals with noise, real-time data generated in the laboratory and PQ online data. The results proved that the developed classification method was successful. Therefore, this study will provide a different approach to PQ classification methods and non-stationary signal analysis studies.
AtıfScopus10WoS8OpenAlex9İncele - MakaleAçık Erişim2021Scopus SJRQ1An effective method to improve nonlinearity value of substitution boxes based on random selection
Artuğer, Fırat; Özkaynak, Fatih
In today's digital society, new design alternatives are needed for substitution box structures, which has critical importance in developing secure information systems that are resistant to algebraic and application attacks, as new attacks negatively affect designs based on mathematical transformations. Although random selection-based substitution box structures are a good alternative against algebraic and application attacks, the low value of nonlinearity criterion is an important problem. Solution suggestions using optimization algorithms have been proposed to address this problem. “Information Sciences 523 (2020) 152–166” is the study that reached the highest nonlinearity value based on optimization algorithms to date. However, the high computational costs of optimization algorithms are another challenge that must be overcome. In this study, it has been shown that the nonlinearity values of random (chaotic) selection substitution box structures can be improved as much as mathematically based designs by using a method that is too simple to compare with optimization algorithms. It has been shown that the nonlinearity value can be improved up to 110 for random selection-based substitution box designs. Although this nonlinearity value is the highest achievable value in the literature based on the random selection principle, the fact that it requires only 2×255×255 processes in the worst case has been evaluated as an important success of the proposed method compared to other design approaches. Other advantages of the proposed method are that the improved substitution box structures are resistant to side-channel attacks, simple structure, easy hardware implementation, and successful results in practical applications such as image encryption. It is believed that all these results will be a motivation for new post-processing techniques to be designed in the future for random selection-based substitution box designs.
AtıfScopus42WoS30OpenAlex42İncele - MakaleYalnız künye2021Scopus SJRQ2Effects of lavender oil intervention before endoscopic retrograde cholangiopancreatography on patients' vital signs, pain and anxiety: A randomized controlled study
Citlik Saritas, Seyhan; Buyukbayram, Zeliha; Kaplan Serin, Emine; Bilgic, Yilmaz
Background: This study was carried out to determine the effects of lavender oil intervention before endoscopic retrograde cholangiopancreatography (ERCP) on patients' vital signs, pain and anxiety. Materials and methods: This study was designed as a randomized controlled study. The population of the study consisted of adult patients who were going to receive ERCP at the gastroenterology clinic of a university hospital. Ninety patients participated in the study. The data were collected using a Patient Information Form, a Pre-Post Test Record Form, VAS and the State Anxiety Scale. Results: After lavender oil intervention, the pulse rate, systolic-diastolic blood pressure, pain and anxiety levels of the patients in the experiment group were reduced, their oxygen saturation levels were increased, and the difference between the groups was statistically significant (p < 0.05). Conclusion: Lavender oil applied on the patients before the ERCP procedure reduced their pulse rate, systolic-diastolic blood pressure, pain and anxiety levels, while it increased their oxygen saturation levels.
AtıfScopus14WoS9İncele - MakaleAçık Erişim2020Scopus SJRQ1Time-aware link prediction based on strengthened projection in bipartite networks
Aslan, Serpil; Kaya, B.
The traditional projection models in the bipartite networks involve many node pairs that consist of weak relationships. These node pairs lead to poor quality predictions as well as high computation time. In this paper, to cope with these problems, we firstly propose a novel projection model, which is called “Strengthened Projection Model”. Then, to predict the potential links in the future, we present a new link prediction approach based on the proposed projection model. Thanks to the proposed model, the computation time is shortened, and the high probability predictions are extracted. The majority of the previous works conducted in this area have used the classical proximity measure algorithms that only take into account the current network structure, regardless of when events occur in the network evolution. To overcome these limited methods, in this paper, we also propose a novel proximity measure algorithm that considers the bipartite network evolution. To the best of our knowledge, this is the first attempt that takes into account the time-awareness in bipartite networks. To evaluate the performance of our proposed approach, we conducted experiments on the academic information network. To construct this bipartite network, we collected data from IEEE Xplore. The experimental results show that the success of the proposed method is promising.
AtıfScopus11WoS9OpenAlex10İncele - MakaleAçık Erişim2020Scopus SJRQ1Robotic disassembly line balancing problem: A mathematical model and ant colony optimization approach
Çil, Zeynel Abidin; Mete, Suleyman; Serin, Faruk
The use of robots is significantly increasing day by day in manufacturing systems, and especially improving the efficiency of the lines. Robots can be used to complete disassembly tasks, and each of the robots can need different operation times to perform the tasks. In this paper, the balancing of the robotic disassembly line problem has been studied to develop efficient solution techniques. Firstly, a mixed-integer linear mathematical model is proposed to determine and solve the problem optimally. A case study from literature is addressed to assess and show the efficiency and effectiveness of the model to minimize cycle time. Secondly, a heuristic algorithm based on ant colony optimization is also proposed to discover a solution for especially the large-size test problems due to the complexity of the problem. The performance of the proposed heuristic algorithm is verified and compared with the different heuristic on data sets. The computational results indicate that the proposed mathematical model and the algorithms are promising for the small and large-size test problems, respectively. Finally, it should be stated that robots have great potential to use in the area of disassembly line and useful solutions provide according to test results.
AtıfScopus80OpenAlex84İncele - MakaleYalnız künye2017Scopus SJRQ1Reduction of fluid forces acting on a square prism using a planar jet
Akansu, Yahya Erkan; Fırat, Erhan; Hacıalioğulları, Mustafa
This experimental study focused on the concurrent minimization of the mean and fluctuating forces acting on a square prism in crossflow by creating a continuous jet through a narrow spanwise slot in it. For this purpose, three different predetermined injection surfaces (i.e., front, top, and rear) were individually studied for the injection ratios (IR) of 0, 1, 1.5, 2, 2.5, and 3 at a Reynolds number (Re) of 8000. The results showed that the rear jet is the optimum injection surface. For the rear jet configuration, the optimum IR is 1.5 in terms of mean total drag coefficient reduction, 〈CDT〉. In this case, the reductions in the 〈CDT〉 and the level of root mean square (RMS) of fluctuating pressure coefficient (CP RMS) on the side surfaces are about 29.7% and 68%, respectively. However, the maximum reduction in the CP RMS level on the side surfaces occurred at IR = 2. In this case, the reductions in the 〈CDT〉 and the level of CP RMS on the side surfaces are about 27.5% and 88%, respectively. The underlying mechanism of force reduction was also demonstrated. Various flow patterns were identified with respect to IR at incidence angle (α) of 0°. It was also proved that, at relatively small angles of incidence, from α = 0° to 20°, the active flow control method is still effective in reducing 〈CDT〉 and in suppressing the fluctuating side forces, which is indicative of periodic vortex shedding from either side of the square prism.
AtıfScopus18WoS18OpenAlex18İncele - DergiExperimental Thermal and Fluid Science
- DergiApplied Mathematical Modelling
- DergiComparative Biochemistry and Physiology Part - C: Toxicology and Pharmacology
- DergiExplore
- DergiDigital Signal Processing: A Review Journal
- DergiTheriogenology
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