Sürdürülebilir Kalkınma Amaçları
Yazarlar
- Gul, Muhammet(85)
- Serdar, Osman(72)
- Güler, Ömer(68)
- Akkurt, Nevzat(61)
- Baskonus, Haci Mehmet(54)
- Alataş, Mevlüt(53)
- Paksoy, Mehmet Yavuz(53)
- Yucesan, Melih(53)
- Bulut, Hasan(51)
- Tekin, H.O.(51)
- ALMisned, Ghada(48)
- Yildirim, Numan(48)
- Benzer, Fulya(47)
- Kocabaş, Mehmet(45)
- Yildirim, Nuran Cikcikoglu(44)
- Kutlu, Banu(41)
- Ince, Muharrem(39)
- Zengin, Gokhan(39)
- Batan, Nevzat(37)
- Utku, Anıl(35)
- Celik, Erkan(33)
- Topal, Murat(32)
- Ezer, Tülay(31)
- Tanyol, Mehtap(31)
- Can, Erkan(30)
- Sulaiman, Tukur Abdulkadir(29)
- Aslan, Naim(28)
- Özkul, İskender(28)
- Aslan, Alper(27)
- Cakilcioglu, Ugur(27)
- Erguven, Gokhan Onder(27)
- Kutluyer, Filiz(27)
- Kök, Mediha(27)
- Ates, Mehmet(26)
- Erten, Fusun(26)
- Kahraman, Gökhan(26)
- Onat, Onur(26)
- Dal, Nursel Alp(25)
- Danabas, Durali(25)
- Say, Yakup(25)
Yayınlar
- MakaleYalnız künye2019Scopus SJRQ2An efficient algorithm for U-type assembly line re-balancing problem with stochastic task times
Serin, Faruk; Mete, Süleyman; Çelik, Erkan
Purpose: Changing the product characteristics and demand quantity resulting from the variability of the modern market leads to re-assigned tasks and changing the cycle time on the production line. Therefore, companies need re-balancing of their assembly line instead of balancing. The purpose of this paper is to propose an efficient algorithm approach for U-type assembly line re-balancing problem using stochastic task times. Design/methodology/approach: In this paper, a genetic algorithm is proposed to solve approach for U-type assembly line re-balancing problem using stochastic task times. Findings: The performance of the genetic algorithm is tested on a wide variety of data sets from literature. The task times are assumed normal distribution. The objective is to minimize total re-balancing cost, which consists of workstation cost, operating cost and task transposition cost. The test results show that proposed genetic algorithm approach for U-type assembly line re-balancing problem performs well in terms of minimizing total re-balancing cost. Practical implications: Demand variation is considered for stochastic U-type re balancing problem. Demand change also affects cycle time of the line. Hence, the stochastic U-type re-balancing problem under four different cycle times are analyzed to present practical case. Originality/value: As per the authors’ knowledge, it is the first time that genetic algorithm is applied to stochastic U-type re balancing problem. The large size data set is generated to analyze performance of genetic algorithm. The results of proposed algorithm are compared with ant colony optimization algorithm.
AtıfScopus19WoS17OpenAlex20
İncele - MakaleAçık Erişim2019Scopus SJRQ3The effect of curcumin on lipid peroxidation and selected antioxidants in irradiated rats
Ozcelik, Mehtap; Erişir, Mine; Guler, Osman; Baykara, Murat; Kirman, Esra
The effect of irradiation on oxidants and antioxidants in selected tissues and a possible protective effect of curcumin on these indices were investigated. A total of 28 rats were divided into 3 groups; group 1 was control; group 2 was the irradiation group, saline was administered intraperiotenally (i.p.) for three days and then, 9 Gy gamma irradiation was applied; group 3 was the irradiation + curcumin group: curcumin was given i.p. for three days at 200 mg/ kg body weight and then the same dose of irradiation was applied. A significant increase in malondialdehyde (MDA) was detected in the liver, kidney, and brain tissues of the rats as a result of irradiation (P ˂ 0.01). Glutathione peroxidase (GSH-Px) activity in all the tissues (except for kidneys) decreased (P ˂ 0.01), liver SOD (superoxide dismutase) activity decreased (P ˂ 0.05), and GSH (glutathione) levels in kidney and ovary tissues (P ˂ 0.001) significantly increased. While curcumin administration returned the increased MDA levels in the kidneys and brain in result of irradiation to normal (P ˂ 0.01), it did not return the increased MDA levels in the liver tissue to normal (P ˂ 0.001) despite significantly reducing them. While decreased GSH-Px and SOD activity in the liver in result of irradiation increased with the addition of curcumin (P ˂ 0.05), increased GSH levels in the kidneys and ovaries returned to control levels (P ˂ 0.001). When MDA values were examined, it was found that the addition of curcumin protected the liver, kidneys and brain from the oxidative damage caused by irradiation.
AtıfScopus8OpenAlex9İncele - MakaleAçık Erişim2019Scopus SJRQ3Regarding some novel exponential travelling wave solutions to the Wu–Zhang system arising in nonlinear water wave model
Yel, G.; Baskonus, H.M.; Bulut, H.
In this paper, our main aim is to find the new travelling wave solutions to the Wu–Zhang system which describes dispersive long waves. Some new and important travelling wave solutions with rational and exponential function structures are successfully constructed by using the improved Bernoulli subequation function method. All the obtained solutions in this study satisfy the Wu–Zhang system. The interesting three- and two-dimensional surfaces to all the obtained solutions are plotted. We carried out all the computations and the graphics plots in this paper with aid of the Wolfram Mathematica 9.
AtıfScopus13OpenAlex18İncele - MakaleYalnız künye2019Scopus SJRQ1Lactose hydrolysis and protein fortification pose an increased risk for the formation of Maillard reaction products in UHT treated milk products
Aktağ, Işıl Gürsul; Hamzalıoğlu, Aytül; Gökmen, Vural
This study aimed to survey the content of Maillard reaction products in different UHT-treated milk products and to assess how formation of these products and lysine blockage is affected by the composition. For this purpose, different commercial UHT milks including milk (whole, semi-skimmed and skimmed), lactose-hydrolyzed, protein-fortified, lactose-hydrolyzed protein fortified and follow-on infant milks were analyzed. Among the Maillard reaction products, dicarbonyl compounds, 5-hydroxymethylfurfural, furosine, N-ε-carboxymethyllysine and N-ε-carboxyethyllysine were monitored. The results showed that fortification of UHT milks with protein and carbohydrates as well as hydrolysis of lactose promoted the Maillard reaction. Among the dicarbonyl compounds, 3-deoxyglucosone formation, which was the dominant dicarbonyl compound in milks, varied between 3.12–12.67 mg/L, 13.45–21.98 mg/L and 4.59–40.38 mg/L in lactose hydrolyzed, lactose-hydrolyzed protein-fortified and follow-on infant milks whereas it was 0.22-0.40 mg/L in milks, respectively. Similarly, 5-hydroxymethylfurfural could not be detected in milks, whereas mean 5-hydroxymethylfurfural concentration was found to be 56.3 mg/L and 31.5 mg/L in protein-fortified milks and lactose-hydrolyzed protein-fortified milks, respectively. Accordingly, % blocked lysine, furosine, N-ε-carboxymethyllysine and N-ε-carboxyethyllysine content of different UHT milks were found to be significantly higher than milks (p < 0.05). This is the first study reporting the Maillard reaction products in protein-fortified and infant milks.
AtıfScopus55WoS51OpenAlex54İncele - MakaleAçık Erişim2019Scopus SJRQ2Paenidigyamycin A, potent antiparasitic imidazole alkaloid from the ghanaian Paenibacillus sp. De2Sh
Osei, Enoch; Kwain, Samuel; Mawuli, Gilbert Tetevi; Anang, Abraham Kwabena; Owusu, Kofi Baffour-Awuah; Camas, Mustafa; Camas, Anil Sazak; Ohashi, Mitsuko; Alexandru-Crivac, Cristina-Nicoleta; Deng, Hai
A new alkaloid paenidigyamycin A (1) was obtained from the novel Ghanaian Paenibacillus sp. isolated from the mangrove rhizosphere soils of the Pterocarpus santalinoides tree growing in the wetlands of the Digya National Park, Ghana. Compound 1 was isolated on HPLC at tR = 37.0 min and its structure determined by MS, 1D, and 2D-NMR data. When tested against L. major, 1 (IC50 0.75 µM) was just as effective as amphotericin B (IC50 0.31 µM). Against L. donovani, 1 (IC50 7.02 µM) was twenty-two times less active than amphotericin B (IC50 0.32 µM), reinforcing the unique effectiveness of 1 against L. major. For T. brucei brucei, 1 (IC50 0.78 µM) was ten times more active than the laboratory standard Coptis japonica (IC50 8.20 µM). The IC50 of 9.08 µM for 1 against P. falciparum 3d7 compared to artesunate (IC50 36 nM) was not strong, but this result suggests the possibility of using the paenidigyamycin scaffold for the development of potent antimalarial drugs. Against cercariae, 1 showed high anticercaricidal activity compared to artesunate. The minimal lethal concentration (MLC) and minimal effective concentration (MEC) of the compound were 25 and 6.25 µM, respectively, while artesunate was needed in higher quantities to produce such results. However, 1 (IC50 > 100 µM) was not active against T. mobilensis.
AtıfScopus32OpenAlex32
İncele - MakaleYalnız künye2019Scopus SJRQ2The effect of a glyphosate-based herbicide on acetylcholinesterase (AChE) activity, oxidative stress, and antioxidant status in freshwater amphipod: Gammarus pulex (Crustacean)
Pala, Ayşegül
This study had determined the effect of glyphosate-based herbicide (GBH) on acetylcholinesterase (AChE) enzyme activity, oxidative stress, and antioxidant status in Gammarus pulex. Firstly, the 96-h LC50 value of glyphosate on G. pulex was determined and calculated as 403 μg/L. Subsequently, the organisms were exposed to sub-lethal concentrations (10, 20, and 40 μg/L) of the determined GHB for 24 and 96 h. The samples were taken from control and GBH-treated groups at 24 and 96 h of study and analysed to determine the malondialdehyde (MDA) and reduced glutathione (GSH) levels, the AChE, superoxide dismutase (SOD), catalase (CAT), and glutathione peroxidase (GPx) enzyme activities. In the G. pulex exposed to GBH for 24 and 96 h, the MDA level increased significantly (p < 0.05). The GSH level, the AChE, the CAT, and the GPx activities decreased compared with the control group (p < 0.05). G. pulex exposure to GBH for 24 h showed a temporary reduction in the SOD. GBH exposure led to oxidative stress in the G. pulex as well as affected the cholinergic system of the organism. These results indicated that the parameters measured may be important indicators of herbicide contamination in G. pulex.
AtıfScopus33WoS31OpenAlex35İncele - MakaleAçık Erişim2019Scopus SJRQ2Electrical characterization of solar sensitive zinc oxide doped-amorphous carbon photodiode
Koç, Mümin Mehmet; Aslan, Naim; Erkovan, Mustafa; Aksakal, Bünyamin; Uzun, Orhan; Farooq, W. Aslam; Yakuphanoğlu, Fahrettin
A new solar-sensitive zinc oxide doped-amorphous carbon diode was fabricated using the electrochemical deposition technique. The current-voltage characteristics of the fabricated Al/ZnO-a:C/p-Si/Al diode were investigated under dark and various lighting intensities using both I-V and C-V methods. The fabricated diode was characterized by XRD, SEM-EDS, FTIR and XPS analysis. Through the analysis, it was determined that the photocurrents increased with increasing intensity of incident light. The capacitance-voltage (C-V) characteristics revealed that the capacitance of the diode depended on voltage, frequency and illumination, indicating the existence of a continuous distribution of interface states. It was found that the capacitance changed drastically with changing frequency and separation was observed in different frequencies, as identified in the reverse bias region. The ideality factor obtained was found to be higher than unity, with the average barrier height and ideality factor of the diode were found to be 0.528 ± 0.0069 eV and 5.24 ± 0.39, respectively. The newly fabricated ZnO-doped amorphous carbon (Al/ZnO-a:C/p-Si/Al) photodiode exhibited good solar sensitivity. The overall results indicated that the fabricated Al/ZnO-a:C/p-Si can be used as a solar sensitive diode in optoelectronic device applications as an alternative to graphene-based materials.
AtıfScopus41OpenAlex46İncele - MakaleYayıncıda açık erişim2019Scopus SJRQ2Evaluation of pharmacological activity of heterobimetallic coordination compounds containing n, n-bis (2-hydroxyethyl)-ethylenediamine on ht29, hela, c6 and vero cells
Aydin, Ali; Korkmaz, Şengül Aslan
The present study was conducted in order to investigate the pharmacological activities of three heterobimetallic coordination compounds: [Cd(N-bishydeten)2 ][Ni(CN)4 ] (C1), [Cu2 (N-bishydeten)2 Co(CN)6 ].3H2 O (C2), and K[Cd(N-bishydeten)Co(CN)6 ].1.5H2 O (C3) (N-bishydeten = N,N-bis(2-hydroxyethyl)-ethylenediamine). This paper describes the ability of complexes to inhibit cell growth, cell migration and human topoisomerase I and to interact with DNA/BSA; this paper also evaluates the potential mechanisms of action exhibited by these compounds via the use of powerful measurement techniques. Studies on HT29, HeLa, C6 and Vero cells revealed that each compound demonstrated significant antiproliferative activity in conjunction with regressed cell migration velocity and caused apoptotic changes in morphology. There are strong data suggesting that the mechanisms of action exhibited by these compounds are associated with their DNA/BSA binding features. The IC50 and binding constant range for the compounds are 20-180 µM and 1.2-3.2 x 104 M-1, respectively. Moreover, we observed that these compounds alter the P53-Bcl-2 ratio and inhibit the relaxation activity of human topoisomerase I. Furthermore, a correlation between the antiproliferative effects of these compounds and their cytotoxic activity was observed. In conclusion, preliminary information demonstrates that these compounds have been found to exhibit effective antiproliferative activity against cancer cell lines, indicating that they are a potent candidate for further pharmacological study.
AtıfScopus5WoS5OpenAlex3İncele - MakaleAçık Erişim2019Scopus SJRQ2Automated detection of diabetic subject using pre-trained 2D-CNN models with frequency spectrum images extracted from heart rate signals
Yildirim, Ozal; Talo, Muhammed; Ay, B.; Baloglu, Ulas Baran; Aydin, G.; Acharya, U. Rajendra
In this study, a deep-transfer learning approach is proposed for the automated diagnosis of diabetes mellitus (DM), using heart rate (HR) signals obtained from electrocardiogram (ECG) data. Recent progress in deep learning has contributed significantly to improvement in the quality of healthcare. In order for deep learning models to perform well, large datasets are required for training. However, a difficulty in the biomedical field is the lack of clinical data with expert annotation. A recent, commonly implemented technique to train deep learning models using small datasets is to transfer the weighting, developed from a large dataset, to the current model. This deep learning transfer strategy is generally employed for two-dimensional signals. Herein, the weighting of models pre-trained using two-dimensional large image data was applied to one-dimensional HR signals. The one-dimensional HR signals were then converted into frequency spectrum images, which were utilized for application to well-known pre-trained models, specifically: AlexNet, VggNet, ResNet, and DenseNet. The DenseNet pre-trained model yielded the highest classification average accuracy of 97.62%, and sensitivity of 100%, to detect DM subjects via HR signal recordings. In the future, we intend to further test this developed model by utilizing additional data along with cloud-based storage to diagnose DM via heart signal analysis.
AtıfScopus145OpenAlex152İncele - MakaleAçık Erişim2019Scopus SJRQ2Using Box–Behnken design approach to investigate benzo[a]anthracene formation in smoked cattle meat samples and its’ risk assessment
Kaplan Ince, Olcay; Ince, Muharrem
In present study, a novel approach was selected for benzo[a]anthracene determination from smoked cattle meat samples using solid phase extraction under various experimental conditions. To optimize experimental variables, a three factor, three-level Box–Behnken experimental design combining with response surface methodology and quadratic programming were employed to prevent excessive amount of benzo[a]anthracene formation in smoked meat based on different experimental parameters. The influence of some important process parameters including cooking time (10–30 min), fat ratio (5–25%) and distance to the cooking source (5–25 cm), which significantly affected the formation efficiency of benzo[a]anthracene were optimized. The analysis of variance was conducted for specifying the interactions of independent variables. The independent and the dependent variables interactions were investigated. The quadratic regression model and the response surface contour plots were used to determine optimum values for the selected variables. The results of study revealed that optimum cooking time of smoked cattle meat was determined as 24.9 min, fat ratio 7.9% and the distance to the cooking source 21.8 cm. Under optimum conditions, minimum benzo[a]anthracene was formed in meat and its amount was determined using high performance liquid chromatography-mass spectrophotometer as qualitative and quantitative. The limit of detection and limit of quantitation values were calculated as 0.4 µg kg −1 and 1.1 µg kg −1 , respectively.
AtıfScopus4WoS4OpenAlex8İncele - MakaleYalnız künye2019Scopus SJRQ3Effects of temperature and impactor nose diameter on the impact behavior of PA6 and PP thermoplastic composites
Dogan, Akar; Arman, Yusuf
In this study, the effects of temperature and impactor nose diameter on the impact behavior of woven glass-reinforced polyamide 6 (PA6) and polypropylene (PP) thermoplastic composites were investigated experimentally. Impact energies are chosen as 10, 30, 50, 70, 90, 110, 130, and 170 J. The thickness of composite materials is 4 mm. Impact tests were performed using a drop weight impact testing machine, CEAST-Fractovis Plus, and the load capacity of test machine is 22 kN. Hemispherical impactor nose diameter of 12, 7, and 20 mm were used as an impactor. The tests are conducted at room temperature (20°C and 75°C). As a result, the PP composites of the same thickness absorbed more energy than PA6 composites. The amount of absorbed energy of PP and PA6 composites decreased with temperature.
AtıfScopus7WoS6OpenAlex6İncele - MakaleYalnız künye2019Scopus SJRQ3Determination of antioxidant capacity using different acidified solvents and element contents of Allium tuncelianum: A regional and varietal study on endemic edible garlic
Karaaslan, Nagihan M.; Ince, Muharrem; Kaplan Ince, Olcay; Goksin Karaaslan, Merve
Allium tuncelianum (Tunceli garlic), an endemic and threatened plant species in the Tunceli province of Eastern Turkey, is an important native source for local people. The antioxidant activities of the acidified extracts of water, acetonitrile, methanol, and ethanol of Allium tuncelianum were investigated using five antioxidant capacity tests. The results indicated that methanol extract efficiencies of garlic samples using the ABTS, CUPRAC, and reducing power capacities were higher than the other extracts. Water extract and acetonitrile extract values were highest for total phenolic content and metal chelating activities, respectively. Moreover, the element contents such as calcium (Ca), copper (Cu), iron (Fe), potassium (K), magnesium (Mg), manganese (Mn), sodium (Na), and zinc (Zn) of Allium tuncelianum samples digested by microwave and ashing ovens were determined by flame atomic absorption spectrophotometry and the results were compared statistically. The Ca, Cu, K, Mg, and Zn concentrations using the microwave method were found to be higher than the ashing procedure. However, the Fe, Mn, and Na concentrations using the ashing method were found to be higher than those using the the microwave protocol.
AtıfScopus7WoS6OpenAlex7İncele - MakaleYalnız künye2019Scopus SJRQ1Elimination of a measurement problem: A robust prediction model for missing eigenvector value to assess earthquake induced out-of-plane failure of infill wall
Onat, Onur; Yön, Burak
One of the effective methods to assess local or global behavior of structural system is to perform shake table experiment. The biggest challenge of all experiments, either shake table or others, are missing data during the experiments due to removed instruments. This problem is arose especially during the out-of-plane tests. This problem is named as “Measurement” problem. This paper is focused on detection the measurement problem and solving this problem by using Adaptive-Network Based Neuro Inference System (ANFIS). Definition of the problem is briefly missing out-of-plane eigenvector value during the implementation of a shake table experiments on a full scale one bay one storey reinforced concrete structural system. For this aim, two shake table experiments were performed with reinforced concrete frame (RCF)and infill wall at the National Civil Engineering Laboratory (LNEC)Portugal. The out-of-plane failure of infill wall was assessed under combined bidirectional seismic load. Shake table experiments were conducted on two types of specimens. One of them is Unreinforced Brick Infill Wall (URBIF)composed of single layer 22 cm thick brick. The other is single layer 22 cm thick Infill Wall with Bed Joint Reinforcement solution (IwBJR). Both specimens were made of a single-layer brick infill wall enclosure with the RCF. Bed joint reinforcement term refers horizontal bed joint reinforcement as a strengthening technique. Shake table experiments were performed on each specimen at four stages. After third level of earthquake load, the accelerometers were removed on the wall to prevent damage to them. The removal of these instruments results in missing data. The missing eigenvector values were predicted with a robust Adaptive-Network Based Neuro Inference System (ANFIS)model to present failure mode of infill wall. The estimation quality was tested with R2, Mean Absolute Percentage Error (MAPE), Mean Square Error (MSE)and Root Mean Square Error (RMSE)among with available data. The results of the quality indicator of R2 are 0.999 for URBIF model and 0.997 for IwBJR model, respectively. Moreover, rest of the indicator results are less than %1. The proposed approach is reliable on the base of quality indicator. Moreover, this study can be used for seismic engineering to predict eigenvector values to see local behavior of infill wall and mode shape evolution to determine which mod prone for partial and total collapse of infill wall.
AtıfScopus12WoS11OpenAlex10İncele - MakaleAçık Erişim2019Scopus SJRQ1Side-Channel Analysis of Chaos-Based Substitution Box Structures
Acikkapi, Mehmet Sahin; Ozkaynak, Fatih; Ozer, Ahmet Bedri
There is a theoretically strong relationship between chaos and cryptology. In practice, one of the most successful applications of this relationship is chaos-based s-box structures. However, the performance metrics of chaos-based s-box designs are worse compared to those for s-box structure based on algebraic techniques used in modern encryption algorithms, such as the AES algorithm. What is the reason for using chaos-based s-box structures, even though they have worse cryptographic characteristics? Researchers claim that they may be an alternative defense against implementation attacks, especially side-channel analyses. However, no studies have supported or refuted this claim so far. In this paper, side-channel analyses have been performed for two different chaos-based s-box structures. These two s-box structures have been selected for having with the best and worst performance measurements for s-box structures previously proposed in the literature. The results were compared with the AES s-box structure. Analysis of the results showed that chaos-based s-box structures are more resistant against side-channel attacks. Therefore, chaos-based designs may be an alternative defense against implementation attacks, as alleged. However, both algebraic and chaos-based s-box designs have been observed to be insecure if the attacker has more than 30 plaintexts in the side channel analyses. These results show that implementation analysis studies are required in the chaos-based cryptology literature.
AtıfScopus48WoS42OpenAlex51İncele - MakaleAçık Erişim2019Scopus SJRQ2The effect of water parameters and dissolved minerals on the hematological parameters of during breeding period catfish (Silurus glanis)
Küçükgül, Azime; Yüngül, Mücahit; Kahraman, Zuhal; Dörücü, Mustafa
In this study, the blood parameters of catfish (Silurus glanis Linnaeus, 1758) inhabiting Celik Lake (Adiyaman, Turkey) were investigated. The study was conducted between April 2013 and October 2013. After obtaining a blood sample from each catfish has been hematologically analyzed. Then, the water temperature, dissolved oxygen, pH, calcium, magnesium and nitrate values were determined at before breeding (April), breeding period (June-July) and after breeding of fish (October) and the impacts of these data on hematological values were investigated. According to this study, it was observed that the hematological values obtained at before breeding period, breeding and after the breeding period were affected by the water quality parameters.
AtıfScopus4WoS6OpenAlex5İncele - MakaleYalnız künye2019Scopus SJRQ2The Evaluation of Imidacloprid Remediation in Soil Media by Two Bacterial Strains
Erguven, Gokhan Onder; Yildirim, Numan
Imidacloprid (C9H10ClN5O2) is used as the most recommended type of insecticide in vegetable farming worldwide. Two types of bacteria (Methylobacterium radiotolerans and Microbacterium arthrosphaerae) were isolated from a corn farming field in the Thrace region of Turkey, and then consortia of these bacteria were prepared from equal volumes of 107 CFU/ml for each bacterium type. Imidacloprid remediation studies were carried out during 18 days in soil test units. The water filtered from these soil test units was determined for chemical oxygen demand (COD) and biochemical oxygen demand (BOD5) to determine the optimum concentration of microorganisms to ascertain the best removal efficiency of Imidacloprid. COD removal rates were 98.7%, 96.4% and 51.6% with 80, 40, and 20 ml volumes of the consortia of bacteria, respectively, at the end of 18 days. The BOD5 removal rates were 88.4%, 78.6% and 49.9% in the same volumes of bacteria, respectively. As a result of this study, we have found that this bacterial consortium is very effective for the bioremediation of this insecticide at the two volumes of 40 and 80 ml, both being better than 20 ml.
AtıfScopus35WoS34OpenAlex37İncele - MakaleAçık Erişim2019Scopus SJRQ2A deep learning model for automated sleep stages classification using PSG signals
Yildirim, Ozal; Baloglu, Ulas Baran; Acharya, U Rajendra
Sleep disorder is a symptom of many neurological diseases that may significantly affect the quality of daily life. Traditional methods are time-consuming and involve the manual scoring of polysomnogram (PSG) signals obtained in a laboratory environment. However, the automated monitoring of sleep stages can help detect neurological disorders accurately as well. In this study, a flexible deep learning model is proposed using raw PSG signals. A one-dimensional convolutional neural network (1D-CNN) is developed using electroencephalogram (EEG) and electrooculogram (EOG) signals for the classification of sleep stages. The performance of the system is evaluated using two public databases (sleep-edf and sleep-edfx). The developed model yielded the highest accuracies of 98.06%, 94.64%, 92.36%, 91.22%, and 91.00% for two to six sleep classes, respectively, using the sleep-edf database. Further, the proposed model obtained the highest accuracies of 97.62%, 94.34%, 92.33%, 90.98%, and 89.54%, respectively for the same two to six sleep classes using the sleep-edfx dataset. The developed deep learning model is ready for clinical usage, and can be tested with big PSG data.
AtıfScopus255OpenAlex265İncele - MakaleAçık Erişim2019Scopus SJRQ2Automated Depression Detection Using Deep Representation and Sequence Learning with EEG Signals
Ay, Betul; Yildirim, Ozal; Talo, Muhammed; Baloglu, Ulas Baran; Aydin, Galip; Puthankattil, Subha D.; Acharya, U. Rajendra
Depression affects large number of people across the world today and it is considered as the global problem. It is a mood disorder which can be detected using electroencephalogram (EEG) signals. The manual detection of depression by analyzing the EEG signals requires lot of experience, tedious and time consuming. Hence, a fully automated depression diagnosis system developed using EEG signals will help the clinicians. Therefore, we propose a deep hybrid model developed using convolutional neural network (CNN) and long-short term memory (LSTM) architectures to detect depression using EEG signals. In the deep model, temporal properties of the signals are learned with CNN layers and the sequence learning process is provided through the LSTM layers. In this work, we have used EEG signals obtained from left and right hemispheres of the brain. Our work has provided 99.12% and 97.66% classification accuracies for the right and left hemisphere EEG signals respectively. Hence, we can conclude that the developed CNN-LSTM model is accurate and fast in detecting the depression using EEG signals. It can be employed in psychiatry wards of the hospitals to detect the depression using EEG signals accurately and thus aid the psychiatrists.
AtıfScopus279OpenAlex291İncele - MakaleAçık Erişim2019Scopus SJRQ1Al-doped ZnO as a multifunctional nanomaterial: Structural, morphological, optical and low-temperature gas sensing properties
Aydın, Handan; Yakuphanoglu, Fahrettin; Aydın, Cihat
In this study, zinc oxide thin films doped with Al at different atomic ratios (0.1%, 0.5%, 1%, 2%, 5%) were prepared using sol-gel spin coating method. Crystal structure, surface morphology, optical properties of the films and their response to ammonia gas were examined. XRD results showed that the ZnO thin films had a hexagonal polycrystalline structure. It was concluded from the calculation of the crystal size and lattice constant of the films that the produced samples were a nanomaterial. Scanning electron microscope (SEM) and atomic force microscope (AFM) images of the samples revealed that the morphology was composed of nanostructured particles and a cluster structure made of the combination of these particles. The optical band gap (Eg) of the prepared films were found within the range of 3.251 eV–3.342 eV by using the optical absorption method. Characteristics of susceptibility against ammonia gas were evaluated depending on the Al dopant. The obtained results showed that the gas response along with the structural, morphological, and optical properties of ZnO thin films changed with Al dopant. The produced thin film samples can be used as a sensor for the detection of ammonia gas in various industrial branches.
AtıfScopus66WoS59OpenAlex76İncele - MakaleYalnız künye2019Scopus SJRQ4ECG BEAT DETECTION and CLASSIFICATION SYSTEM USING WAVELET TRANSFORM and ONLINE SEQUENTIAL ELM
Yildirim, Ozal
Electrocardiogram (ECG) signals consist of data containing measurements of electrical activity in the heartbeats. These signals include relevant information used to detect abnormalities such as arrhythmia. In this study, a recognition system is proposed for detection and classification of heartbeats in ECG signals. Heartbeats in the ECG data were detected by using the wavelet transform (WT) method and these beats are segmented with determined periods. For obtaining distinctive features from the beats, multi-resolution WT is applied to these segmented signals, and wavelet coefficients are obtained from different frequency levels. Feature vectors are generated on these coefficients by using various statistical methods. The proposed recognition system is trained on feature vectors by using the Online Sequential Extreme Learning Machine (OSELM) classifier during the learning phase to automatically recognize the signals. Five different beat types were obtained from the MIT-BIH arrhythmia dataset. The multi-class dataset that includes five classes and the binary-class dataset that includes two classes were created among these beat types. Performance tests of the proposed wavelet-based-OSELM (W-OSELM) method were realized with these two datasets. The proposed recognition system provided 97.29% correct beat detection rate from raw ECG signals. The classification accuracy is 99.44% for the binary-class dataset and 98.51% for the multi-class dataset. Furthermore, the proposed classifier has shown very fast recognition performance on ECG signals.
AtıfScopus25WoS17OpenAlex26İncele