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Koleksiyondaki öğeler
- MakaleAçık Erişim2020Scopus SJRQ11D-CADCapsNet: One dimensional deep capsule networks for coronary artery disease detection using ECG signals
Butun, Ertan; Yildirim, Ozal; Talo, Muhammed; Tan, Ru-San; Rajendra Acharya, U.
Purpose: Cardiovascular disease (CVD) is a leading cause of death globally. Electrocardiogram (ECG), which records the electrical activity of the heart, has been used for the diagnosis of CVD. The automated and robust detection of CVD from ECG signals plays a significant role for early and accurate clinical diagnosis. The purpose of this study is to provide automated detection of coronary artery disease (CAD) from ECG signals using capsule networks (CapsNet). Methods: Deep learning-based approaches have become increasingly popular in computer aided diagnosis systems. Capsule networks are one of the new promising approaches in the field of deep learning. In this study, we used 1D version of CapsNet for the automated detection of coronary artery disease (CAD) on two second (95,300) and five second-long (38,120) ECG segments. These segments are obtained from 40 normal and 7 CAD subjects. In the experimental studies, 5-fold cross validation technique is employed to evaluate performance of the model. Results: The proposed model, which is named as 1D-CADCapsNet, yielded a promising 5-fold diagnosis accuracy of 99.44% and 98.62% for two- and five-second ECG signal groups, respectively. We have obtained the highest performance results using 2 s ECG segment than the state-of-art studies reported in the literature. Conclusions: 1D-CADCapsNet model automatically learns the pertinent representations from raw ECG data without using any hand-crafted technique and can be used as a fast and accurate diagnostic tool to help cardiologists.
AtıfScopus100OpenAlex96
İncele - MakaleAçık Erişim2019Scopus SJRQ3Study of the bioaccumulation of UO2 2+ onto the green microalgae botryococcus braunii using response surface methodology
Celik, Fatih; Aslani, Mahmoud Ali Asker; Can, Safak Seyhaneyildiz
The bioaccumulation of UO2 2+ (uranyl ion) was investigated by using dry biomass of Botryococcus braunii. Experiments were conducted based on a rotatable central composite design (CCD) and analyzed using response surface methodology (RSM), which was used to optimize the bioaccumulation process. In this goal, the effects of parameters such as initial uranium (VI) concentration, pH, temperature and contact time were studied. The optimum conditions for maximum removal (87%) of UO2 2+ from an aqueous solution were as follows: initial uranium (VI) concentration (55 mg/l), pH (3.6), temperature (46°C) and contact time (74 min). Langmuir and Freundlich isotherms and also thermodynamic parameters like Enthalpy (∆H°), Entropy (∆S°), standard Gibbs free energy (∆G°) were investigated, as well.
AtıfScopus18WoS17OpenAlex8İncele - MakaleAçık Erişim2018Scopus SJRQ3Dynamic of solitary wave solutions in some nonlinear pseudoparabolic models and Dodd–Bullough–Mikhailov equation
Ilhan, O.A.; Bulut, H.; Sulaiman, T.A.; Baskonus, H.M.
In this study, the modified exp (- Φ (η)) -expansion function method is used in constructing some solitary wave solutions to the Oskolkov–Benjamin–Bona–Mahony–Burgers, one-dimensional Oskolkov equations and the Dodd–Bullough–Mikhailov equation. We successfully construct some singular solitons and singular periodic waves solutions with the hyperbolic, trigonometric and exponential function structures to these three nonlinear models. Under the choice of some suitable values of the parameters involved, we plot the 2D and 3D graphics to some of the obtained solutions in this study. All the obtained solutions in this study verify their corresponding equation. We perform all the computations in this study with the help of the Wolfram Mathematica software. The obtained solutions in this study may be helpful in explaining some practical physical problems.
AtıfScopus34OpenAlex35İncele - MakaleYalnız künye2020Scopus SJRQ2Analytical and finite element solutions of continuous contact problem in functionally graded layer
Kaya, Yusuf; Polat, Alper; Özşahin, Talat Şükrü
In this study, we solve the continuous contact problem of two layers with different material properties, loaded with two rigid flat blocks and resting on a rigid plane, by analytical and finite element methods. All surfaces are assumed to be frictionless. The upper layer is the functionally graded layer (FG), the height h1, the underlying layer is homogeneous, and the height is h2. It is assumed that the FG layer is isotropic and that the shear modulus and density change exponentially. The FG layer is loaded by means of two rigid flat blocks whose external loads are Q and P (per unit thickness in z direction). In the analytical solution of the problem, stress and displacement expressions are substituted in the boundary conditions and the problem is demoted to singular integral equations where the contact stresses are the unknown functions. These singular integral equations are solved numerically using the Gauss–Chebyshev integration formulas. Two-dimensional finite element analysis of the problem is performed using the ANSYS package program. The analyses are performed for different shear modulus ratios (μ2/μ-h1), distances between the blocks ((c − b)/h1) and inhomogeneity parameters (βh1). The contact stresses under the blocks, the normal stresses (σy) between interfaces of the FG layer and the homogeneous layer and between the homogeneous layer and rigid plane are also measured. In addition, the initial separation load and the initial separation distances (χcr, λcr) of the FG layer and homogeneous layer are determined. The results are presented comparatively as graphs and tables.
AtıfScopus18WoS19OpenAlex14İncele - MakaleAçık Erişim2018Scopus SJRQ1FPGA-based online power quality monitoring system for electrical distribution network
Yildirim, Ozal; Eristi, Bekis; Eristi, Huseyin; Unal, Sencer; Erol, Yavuz; Demir, Yakup
In this paper, a new generation Internet-based Power Quality Monitoring System (IPQMS) that transmits real-time power quality (PQ) data over the internet has been developed. The monitoring system has the ability to measure PQ parameters in accordance with the related standards. This monitoring system includes many hardware and software designs and presents an efficient structure. PQ parameters are determined by signal processing algorithms that are applied to the current and voltage signals continuously obtained from the electrical power network. These signal processing algorithms are performed as embedded functions in the FPGA device. The PQ data obtained from the measurement points are transmitted to a server by UDP/IP communication protocol that is implemented in the FPGA device. The monitoring, reporting and permanently storing tasks are accomplished with the real-time automation software and web applications that running on the server computer. With its innovative software and hardware designs, the proposed monitoring approach presents a very useful monitoring structure that can be used in the PQ field.
AtıfScopus37WoS31İncele - KitapYalnız künye2020Computational intelligence and soft computing applications in healthcare management science
Gul, Muhammet; Celik, Erkan; Mete, Suleyman; Serin, Faruk
In today's modernized world, the field of healthcare has seen significant practical innovations with the implementation of computational intelligence approaches and soft computing methods. These two concepts present various solutions to complex scientific problems and imperfect data issues. This has made both very popular in the medical profession. There are still various areas to be studied and improved by these two schemes as healthcare practices continue to develop.
AtıfOpenAlex7İncele - MakaleYalnız künye2019Scopus SJRQ2Polytropic Carnot heat engine
Askin, M.; Salti, M.; Aydogdu, O.
Recent astrophysical datasets have implied that the universe has entered a speedy expansion phase. The Polytropic gas model, which describes a unified formulation of dark contents (matter plus energy), is one of the most reasonable definitions of this mysterious phenomenon. This interesting formulation allows to simulate the dark contents in the cosmic form of the perfect fluid and gives an interesting point of view in the discussion of fundamental theories of physics. In the first step of our investigation, we discuss the thermal equation-of-state (EoS henceforth) and obtain the EoS and deceleration parameters as explicit functions of temperature. Subsequently, we obtain a relation for the thermal efficiency of the Carnot heat engine which depends on free parameters given in the cosmological Polytropic gas description and the limits of maximal and minimal temperatures imposed on the Carnot cycle.
AtıfScopus8WoS8OpenAlex9İncele - MakaleAçık Erişim2021Scopus SJRQ2The comparisons of fatty acid composition in some anaerobic gut fungi neocallimastix, orpinomyces, piromyces, and caecomyces
Kar, Bülent; Özköse, Emin; Ekinci, Mehmet Sait
The objective of this study were to identify the fatty acid composition for decanoic (C10:0), tridecanoic (C13:0), myristic (C14:0), pentadecanoic (C15:0), palmitic (C16:0), stearic (C18:0), oleic (C18:1n9c), linoleic (C18:2n6c), arachidic (C20:0), arachidonic (C20:4n6), heneicosanoic (C21:0), erucic (C22:1n9) and Cis-4,7,10,13,16,19-docosahexaenoic (C22:6n3) acids by Neocallimastix, Orpinomyces, Caecomyces and Piromyces species of rumen fungus during in vitro culture. Fatty acid (FA) profile of anaerobic fungi comprises carbon chains of length ranging from 10 to 22 were analyzed as methyl esters. Analysis of fatty acids was performed using Gas Chromatography-Mass Spectrophotometer (GC-MS). FA measures are presented as proportions of relative amounts (% total fatty acid). The highest amounts of fatty acids for all samples were found as myristic (C14:0) acid. The tridecanoic (C13:0) acid represented the second abundant FA in the fungi in all experimental groups. Stearic acid (C18:0) was the third major fatty acid for isolates investigated in the current study. In addition, another fatty acid was palmitic (C16:0) acid with relative amount representing >20% of total FA in all samples. Pentadecanoic (C15:0) acid could not be found in any other samples except Orpinomyces sp. (GMLF5). It is concluded that biohydrogenation of fatty acid composition by anaerobic gut fungi are very variable.
AtıfScopus5WoS3OpenAlex5İncele - MakaleYayıncıda açık erişim2020Scopus SJRQ2Phytoremediaton of priority substances (Pb and Ni) by Phragmites australis exposed to poultry slaughterhouse wastewater
Topal, Murat; Arslan Topal, E. Işıl
The aim of the work was to evaluate the ability of Phragmites australis to uptake lead and nickel from the stream taking the treated poultry slaughterhouse wastewater (PSW). Pb and Ni concentrations, which are the priority substances of the water frame directive, were detected separately at the root, stem and leaf of P. australis at 50 m and 100 m from the downstream of discharge point. The uptake of Pb and Ni by P. australis followed the order of root > leaf > stem. The Ni uptake was higher than Pb uptake in P. australis exposed to poultry wastewater. As a result, P. australis exposed to PSW were found to have the ability to uptake Pb and Ni. It has been determined that P. australis can be used for removal and phytoremediation of Pb and Ni metals from PSWs.
AtıfScopus13WoS12İncele - EditoryalYalnız künye2020Preface
Gul, Muhammet; Celik, Erkan; Mete, Suleyman; Serin, Faruk
AtıfScopus1İncele - MakaleYalnız künye2020Scopus SJRQ1A manufacturing failure mode and effect analysis based on fuzzy and probabilistic risk analysis
Gul, Muhammet; Yucesan, Melih; Celik, Erkan
This study proposes an improved failure mode and effect analysis (FMEA) with fuzzy Bayesian Network (FBN) and fuzzy best-worst method (FBWM) to assess failures in plastic production. To eliminate the drawbacks of the classical risk priority number (RPN) computation of FMEA, this approach is developed. Unlike classical RPN, a new parameter hierarchy is constructed, and three sub-parameters are injected into the approach. These parameters are weighted by the aid of FBWM. Hereafter, a fuzzy rule-based system is constructed by incorporating Bayesian Network (BN). Also, a sensitivity analysis is performed to observe the final FMEA score changes in accordance with the change of subjective probability values. Finally, a comparative analysis with two approaches of classical FMEA and FBWM-based FMEA (without a fuzzy rule-based system incorporating BN) is fulfilled. The results of the study are strengthened with the experts’ opinions regarding the importance of failure modes for the final product and the whole system and supported them by experience feedback in the observed facility.
AtıfScopus68WoS59OpenAlex68İncele - MakaleYalnız künye2020Scopus SJRQ2The effect of graphene nano-sheet (GNS) weight percentage on mechanical and corrosion properties of AZ61 and AZ91 based magnesium matrix composites
Guler, Omer; Say, Yakup; Dikici, Burak
In this study, the effect of graphene nano-sheets (GNSs) on mechanical and corrosion properties of AZ61 and AZ91 based composites was investigated, detail. GNSs have been successfully produced by the liquid phase exfoliation (LPE) method and then, added AZ61 and AZ91 matrix with 01, 0.2, and 0.5 wt% GNSs for the production of the composites. The composite compacts were produced by powder metallurgy technique and sintered for 2 h at 500 °C under Ar atmosphere. The composite characterizations were carried out by scanning and transmission electron microscopes (SEM, TEM), electron dispersive spectroscope (EDS), Raman spectroscopy, and X-ray diffraction. The mechanical properties and corrosion behaviors of the composites have been compared with compression tests and potentiodynamic scanning (PDS) techniques, respectively. The results showed that the compressive strength of the composites increased with increasing GNS amount in both the AZ61 and AZ91 matrix alloys. The most susceptible composites to corrosion for both AZ61 and AZ91 matrix were observed in the 0.5 wt% GNS containing structures. However, there is a certain ratio of GNS in the Mg matrix to achieve good corrosion resistance.
AtıfScopus29WoS25OpenAlex33İncele - MakaleYalnız künye2018Scopus SJRQ1F(T, R) theory of gravity
Salti, Mustafa; Korunur, Murat; Acikgoz, Irfan; Pirinccioglu, Nurettin; Binbay, Figen
We mainly focus on the idea that the dynamics of the whole universe may be understood by making use of torsion T and curvature R at the same time. The f(T,R)-gravity can be considered as a fundamental gravitational theory describing the evolution of the universe. The model can produce the unification of the general relativity (GR), teleparallel gravity (TPG), f(R)-gravity and f(T)-gravity theories. For this purpose, the corresponding Lagrangian density is written in terms of an arbitrary function of the torsion and curvature scalars. Furthermore, we use the absence/existence puzzle of relativistic neutron stars and thermodynamical laws as constraining tools for the new proposal.
AtıfScopus15WoS16OpenAlex17İncele - MakaleYalnız künye2019Scopus SJRQ2Comprehensive study on the structural, optical, physical and gamma photon shielding features of B2O3-Bi2O3-PbO-TiO2 glasses using WinXCOM and Geant4 code
Sayyed, M.I.; El-Mesady, I.A.; Abouhaswa, A.S.; Askin, A.; Rammah, Y.S.
Glass samples of titanium-lead bismuth borate with the composition of (60B2O3 – 20Bi2O3 – (20-x)PbO – xTiO2), where 0 ≤ x ≤ 10 wt% labeled as BBPT0.0 (x = 0) to BBPT10.0 (x = 10) were synthesized. The melt quenching technique was used in the preparation. The amorphous character and vibrational groups for all samples were confirmed through XRD and FTIR measurements, respectively. The optical band gap (Eopt), Urbach's energy (Eurbach), and the optical dispersion constants have been determined using UV–Vis spectra. Results reveal that the values of the optical band gap energy exhibit a decrease with the TiO2 concentration, in contrast with Urbach's energy which displays a linear increase from 0.43 to 0.64 eV. In addition, the values of single-oscillator energy (Eo) has the same behavior of the optical energy gap (Eopt), while the dispersion energy parameter (Ed) has an inversely behavior. Mass attenuation coefficients (μ/ρ) of the investigated glasses have been computed using the Geant4 simulation toolkit and WinXCOM database software. Geant4 model of a HPGe detector has been employed to perform the Monte Carlo simulations for the glass samples with five thicknesses from 1 to 3 cm at the gamma ray energies in the range of 356–2510 keV. The transmission fractions as a function of the thickness at 356 keV photon energy for all studied glasses has been performed. Half value layer (HVL) was derived from the μ/ρ values. Results showed the studied glasses have good shielding capability according to their mass attenuation coefficients, transmission fractions and HVL values.
AtıfScopus140WoS136OpenAlex144İncele - MakaleYalnız künye2021Scopus SJRQ4Body Perceptions of Female Athletes Aged Between 11 and 14
Şakar, Murat; Bayındır, Melek; Kılıç, Tahir
Study Objectives: This study aimed to examine the body perception levels of women aged between 11 and 14, including those not playing sports and playing sports according to their sports branches. Method: the study was carried out with 140 female participants between ages 11 and 14. The study group consists of 80 licensed women athletes playing volleyball (n:28), basketball (n:25), badminton (n:9), and swimming (n:18) and also 60 women who are educated in the same school but do not actively play sports. Participants were included in the study voluntarily. The data were measured for the 2017-2018 academic calendar by using the “The Multidimensional Body-Self Relations Questionnaire (MBSRQ)”. The Turkish validity and reliability of this scale were performed. Results: The appearance orientation scores of individuals who play individual and team sports were found to be significantly lower than those who do not. It was observed that there was a significant difference in the body perception levels of women playing and not playing sports. Moreover, there was a significant difference between the fitness evaluation, fitness orientation, and overall scale scores according to age, branch, and sports status. On the other hand, there was no significant difference between the scores of appearance evaluation, health orientation, body areas satisfaction, appearance orientation, and health evaluation. Conclusion: The formation of a positive body image can be achieved by actively participating in sports and physical activities in adolescence. It should be encouraged as a state policy that adolescents participate in social sportive communities where they can establish healthy relationships. To have adult behaviors and to struggle with life, for individuals with reduced anxiety levels, high self-esteem and self-confidence, and satisfaction with their body image, organized planning and precautions should be performed to adapt them to life.
AtıfWoS1OpenAlex1İncele - MakaleYalnız künye2019Scopus SJRQ3Anesthetic Efficiency of Three Medicinal Plant Oils for Aquatic Species: Coriander Coriandrum sativum, Linaloe Tree Bursera delpechiana, and Lavender Lavandula hybrida
Can, Erkan; Kızak, Volkan; Can, Şafak Seyhaneyıldız; Özçiçek, Esin
This study evaluated the potential of three essential oils (EOs) that were obtained from coriander Coriandrum sativum (CEO), linaloe tree Bursera delpechiana (BEO), and lavender Lavandula hybrida (LEO) as anesthetic agents. Convict Cichlids Amatitlania nigrofasciata (Günther 1867) were exposed to eight concentrations of anesthetic (50, 75, 100, 125, 150, 200, 250, and 300 μL/L). After exposure to the anesthetic, the fish were transferred to clean water to recover. All of the EOs produced an anesthetic effect after exposure to the compounds for 30 min at the minimal effective concentration (MEC), which was identified according to deep anesthesia (A5 < 3 min) and full recovery (R3 < 5 min) times. At 50 and 75 μL/L, the total loss of equilibrium was not observed for all tested EOs. The total loss of reflex was induced at a faster rate with higher concentrations of anesthetic in all groups. The recovery time generally increased as the concentration of the anesthetic increased. These findings suggest that CEO, BEO, and LEO are all novel potential anesthetics for aquaculture, and the optimal concentrations were identified as 150 μL/L (A5; 156 ± 1.7 s and R3; 165 ± 2.9 s), 125 μL/L (A5; 176 ± 3.5 s; R3; 125 ± 2.0 s), and 200 μL/L (A5; 20.1 ± 2.4 s and R3; 162 ± 3.4 s), respectively. When considering the active ingredients of EOs, this study also demonstrated that future studies should be focused on the major components such as linalyl acetate, 1.8-cineole, α-pinene, geraniol, and linalool. Their synergistic effects should be examined in herbal anesthetic treatments, since new commercial anesthetics will likely contain them.
AtıfScopus17WoS16OpenAlex23İncele - MakaleYalnız künye2021Scopus SJRQ2New national and regional bryophyte records, 66
Ellis, L.T.; Alataş, M.; Aleffi, M.; Álvaro Alba, W.R.; Becerra Infante, D.A.; Cárdenas Espinosa, K.A.; Aziz, Md N.; Bakalin, V.A.; Bergamo Decarli, G.; Boiko, M.
AtıfScopus12OpenAlex16İncele - MakaleYalnız künye2018Scopus SJRQ2Arrhythmia detection using deep convolutional neural network with long duration ECG signals
Yıldırım, Özal; Pławiak, Paweł; Tan, Ru-San; Acharya, U. Rajendra
This article presents a new deep learning approach for cardiac arrhythmia (17 classes) detection based on long-duration electrocardiography (ECG) signal analysis. Cardiovascular disease prevention is one of the most important tasks of any health care system as about 50 million people are at risk of heart disease in the world. Although automatic analysis of ECG signal is very popular, current methods are not satisfactory. The goal of our research was to design a new method based on deep learning to efficiently and quickly classify cardiac arrhythmias. Described research are based on 1000 ECG signal fragments from the MIT - BIH Arrhythmia database for one lead (MLII) from 45 persons. Approach based on the analysis of 10-s ECG signal fragments (not a single QRS complex) is applied (on average, 13 times less classifications/analysis). A complete end-to-end structure was designed instead of the hand-crafted feature extraction and selection used in traditional methods. Our main contribution is to design a new 1D-Convolutional Neural Network model (1D-CNN). The proposed method is 1) efficient, 2) fast (real-time classification) 3) non-complex and 4) simple to use (combined feature extraction and selection, and classification in one stage). Deep 1D-CNN achieved a recognition overall accuracy of 17 cardiac arrhythmia disorders (classes) at a level of 91.33% and classification time per single sample of 0.015 s. Compared to the current research, our results are one of the best results to date, and our solution can be implemented in mobile devices and cloud computing.
AtıfScopus801OpenAlex854İncele - MakaleAçık Erişim2018Scopus SJRQ2Anthocyanin profile of strawberry fruit as affected by extraction conditions
Karaaslan, Nagihan M.; Yaman, Mehmet
The purpose of the study was to investigate the effect of extraction conditions to determine anthocyanin compounds in strawberry fruit. Anthocyanin profile of this fruit were determined via high-performance liquid chromatography-electrospray ionization-mass spectrometry. Flow rate of mobile phase, fragmentor potential, injection volume, and column temperature were applied to be optimum values as 0.5 mL min−1, 110 V, 5 µL, and 30°C, respectively. The extraction process was the important step in the isolation and identification of anthocyanins. For this purpose, anthocyanin contents in strawberry fruit were examined in terms of solvent type, extraction time, and liquid:solid ratio (v:w). The best extraction conditions in this fruit were found to be methanol as solvent, 30 min as extraction time and 1:1 as liquid:solid ratio (v:w). The results showed that the anthocyanin contents of strawberry fruit change by altering extraction conditions.
AtıfScopus50WoS39OpenAlex48İncele - MakaleYalnız künye2018Scopus SJRQ2Trace Metal Levels in Rainbow Trout (Oncorhynchus mykiss) Cultured in Net Cages in a Reservoir and Evaluation of Human Health Risks from Consumption
Varol, Memet; Kaya, Gülderen Kurt; Alp, Sumru Anık; Sünbül, Muhammet Raşit
Although fish consumption has positive health effects, metals accumulated in fish can cause human health risks. In this study, the levels of ten metals in rainbow trout (Oncorhynchus mykiss) farmed in the Keban Dam Reservoir, which has the biggest rainbow trout production capacity in Turkey, were determined and compared with the maximum permissible levels (MPLs). Also, human health risks associated with rainbow trout consumption were assessed. The metal concentrations in rainbow trout were found below the MPLs. The estimated daily intake of each metal was much lower than the respective tolerable daily intake. The target hazard quotient (THQ) for individual metal and total THQ for combined metals did not exceed 1, indicating no health risk for consumers. The cancer risk (CR) value for inorganic arsenic was within the acceptable lifetime risk range of 10−6 and 10−4. For carcinogenic and non-carcinogenic effects, the maximum allowable fish consumption rates were high enough to ensure the human health. According to these results, the consumption of rainbow trout farmed in the Keban Dam Reservoir does not pose a risk on human health.
AtıfScopus33WoS32OpenAlex33İncele
