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Koleksiyondaki öğeler
- MakaleAçık Erişim2018Scopus SJRQ4Comparison of oxidant and antioxidant status of Çoruh trout (Salmo coruhensis), anatolian trout (Salmo rizeensis) and rainbow trout (Oncorynchus mykiss) spermatozoa
Kutluyer, Filiz; Kocabaş, Mehmet; Eri̇Şi̇r, Mine; Benzer, Fulya
The aim of present study was to compare oxidant and antioxidant status of Çoruh trout (Salmo coruhensis), Anatolian trout (Salmo rizeensis) and rainbow trout (Oncorynchus mykiss) spermatozoa. Fish were obtained from Uzungöl. Enzymatic antioxidant activities (superoxide dismutase, catalase, glutathione peroxidase), glutathione and lipid peroxidation (malondialdehyde) were determined in spermatozoa of three trout species. Results indicated that catalase (23.36±0.36 K/g.protein), glutathione peroxidase (74.00±1.5 U/g.protein), glutathione (0.57±1.24 µmol/g.cell) and malondialdehyde levels (6.55±2.01 nmol/g cell) were highest levels in Anatolian trout (S. rizeensis) spermatozoa. In conclusion, differences among species caused alterations in the antioxidant and malondialdehyde levels.
AtıfScopus1OpenAlex2TR Dizin1
İncele - MakaleAçık Erişim2019Scopus SJRQ2Geochemistry of the post-collisional Miocene mafic Tunceli Volcanics, Eastern Turkey: Implications for the nature of the mantle source and melting systematics
Aktağ, Alican; Önal, Ayten Öztüfekçi; Sayit, Kaan
The East Anatolian Accretionary Complex (EAAC) comprises an ideal example of post-collisional volcanism within the Africa-Eurasia collision zone. The Miocene mafic Tunceli Volcanics, as a part of this post-collisional volcanic system, are located in the western termination of EAAC. The mafic Tunceli Volcanics are characterized by mildly alkaline and tholeiitic basalts, in which olivine, clinopyroxene and plagioclase characterize the main mineralogy. The role of fractional crystallization (FC) and assimilation combined with fractional crystallization (AFC) processes appear to be negligible in the petrogenesis of the primitive mafic Tunceli Volcanics. Relative enrichment in large ion lithophile elements (LILE), Th and La over high field strength elements (HFSE) and heavy rare earth elements (HREE) suggest contribution from a metasomatized mantle source. The wide range of ratios displayed by these elements also calls for some asthenospheric input for the genesis of these volcanics. The metasomatizing agents can be attributed to a past subduction event, probably during the closure of Neotethys. Considering also the geophysical constraints, which limits the lithospheric thickness to about 70–75 km around the region, a melt mixing between lithospheric and asthenospheric melts generated at different depths appear to be an important process in the petrogenesis of these lavas. The combined geochemical and geophysical data, therefore, necessitate a geodynamic model with some remnant lithospheric mantle underlying the Eastern Anatolian region.
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İncele - MakaleYalnız künye2020Scopus SJRQ4Development and application of a novel hybrid occupational risk assessment model
Gul, Muhammet
Occupational Risk Assessment (ORA) is so crucial for safety management in the weapons industry since numerous hazards may lead to human casualties. Therefore, occupational health and safety stakeholders suggest proactive approaches in reducing risks to an acceptable level. Therefore, this paper aims to develop a novel hybrid ORA model for the weapons industry. The approach merges TODIM with Fine-Kinney concept. Risk parameters used in traditional Fine-Kinney method are weighted by Fuzzy Analytic Hierarchy Process (FAHP). Then, hazards and associated risks are prioritised using the approach. As an illustration, the gun and rifle assembly line of a weapon factory is handled. The application is carried out to improve operational safety and protect employee health. From both theoretical and practice aspects, it contributes to the literature by handling the problem in an integrated style of Fine-Kinney, FAHP and TODIM and by improving overall safety level of the observed factory and by suggesting potential action plans.
AtıfScopus4İncele - MakaleYalnız künye2019Scopus SJRQ2Phanerochaete chrysosporium as a model organism to assess the toxicity of municipal landfill leachate from Elazığ, Turkey
Yildirim, Numan; Yildirim, Nuran Cikcikoglu; Tatar, Sule; Alp, Hevidar
In order to evaluate the potential ecological risk and the toxic effect of landfill leachate (LL), Phanerochaete chrysosporium was exposed to LL and their biochemical response was observed by using antioxidant parameters. Phanerochaete chrysosporium, ME 446, was kept at 4 °C after being sub-cultured at 28 °C on Sabouraud Dextrose Agar (SDA). Superoxide dismutase (SOD), catalase (CAT) activities, and malaondialdehyde (MDA) and glutathione (GSH) levels of P. chrysosporium exposed to different dilution rates of leachate (1/10 and 1/20) for 24 and 96 h were analyzed by using the ELISA method. The physiochemical parameters such as pH, conductivity, total dissolved solids (TDS), dissolved oxygen (DO), chemical oxygen demand (COD) of leachate, and reference water were analyzed by using the YSI Professional Plus handheld multiparameter meter. In this study, SOD activities were decreased in the application groups compared with the Control Group at the 24th and 96th hours. CAT activities and GSH levels increased in the application groups compared with the Control Group at the 24th hour but decreased at the 96th hours. MDA levels increased in all of the application groups when compared with the Control Group for both 24 and 96 h. Different concentration of LL induces oxidative stress in P. chrysosporium, increased CAT activity and MDA levels, and decreased SOD activity and GSH levels.
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İncele - MakaleAçık Erişim2020Scopus SJRQ2Synthesis, and antimicrobial and anticancer activities of sodium acrylate copolymers
Torğut, Gülben; Pıhtılı, Güzin; Erecevit Sönmez, Pınar; Erden, Yavuz; Kırbağ, Sevda
This study was designed to synthesize poly(sodium acrylate-co-N-isopropylacrylamide) via aqueous free-radical polymerization using the 2,2′-azobisisobutyronitrile initiator system at 60°C. The structural characterization of the copolymer was determined by Fourier-transform infrared spectroscopy. The polymer was synthesized in two different ratios, namely, poly(NaAc-co-NIPA1:1) and poly(NaAc-co-NIPA2:1), to investigate whether it affects their antibacterial–antifungal activities and anti-tumour effects. When the antimicrobial activities of different proportions of the copolymer extracts prepared with pure water were examined using the agar disc diffusion sensitivity test (at 120 μL: 10.8 mg/µL), it was observed that they had effect at increasing rates against all the bacteria, yeasts and dermatophyte fungi such as Staphylococcus aureus COWAN 1, Staphylococcus cohnii ATCC 29974, Bacillus megaterium DSM 32, Bacillus subtilis ATCC 6633, Escherichia coli ATCC 25922, Klebsiella pneumoniae FMC 5, Pseudomonas aeruginosa DMS 50071 SCOTTA, Candida albicans FMC 17, Candida glabrata ATCC 66032, Trichophyton sp. and Epidermophyton sp. The results of this study revealed that the obtained copolymers have significant effects on the treatment of diseases. In addition, the anti-tumour activities of the poly(NaAc-co-NIPA1:1) copolymer on human breast (MCF-7) and ovarian cancer (A-2780) cell line were specified and it was determined that high doses of the copolymer showed anti-tumour effects on both types of cancer cell lines. Also, this article reviews its antimicrobial and anticancer activities that will be of help for future scientists.
AtıfScopus3WoS3OpenAlex6İncele - MakaleAçık Erişim2019Scopus SJRQ3Artificial Neural Networks (a new statistical approach) method in length-weight relationships of Alburnus Mossulensis in Murat River (Palu-Elaziğ) Turkey
Ozcan, E.I.
Artificial Neural Networks (ANNs) is a reliable and alternative method used specially in the growth characteristics of some fish species. The purpose of this work was to compare with length-weight relationships and Artificial Neural Networks, the length-weight relation of 415 (232 female and 183 male) Alburnus mossulensis captured from Murat River between January 2018 and December 2018. The total length and the weight of the fish changed between 7.2-19.9 cm (12.81±0.095) and 3.24-40.6 g (13.51±0.30) respectively. The length-weight relationships were determined for females, males and all individuals as W=0.0097L2.812 (R2=0.95), W=0.0168L2.599 (R2=0.95) and W=0.0130L2.701 (R2=0.95), respectively. The growth type of A. mossulensis was negative allometric growth for female, male and all individuals. Regression analysis showed that length has high significantly correlation with weight (R = 0.97, R2 = 0.95, F1,413 = 79550.3, P <0.001) and 95% remain in weight was due to length remain. t-test results was used for the importance condition of the regression coefficients (t=89.193, P<0.01). Length-length relations were highly significant with R2 values greater than 0.97. The condition factor values were ranged between 0.430 and 0.975 for all individuals. According to the comparison of the results obtained with MAPE (%), ANNs provided better results than the LWRs. With this study, it can be seen that ANNs can be used as an alternative useful method for population parameters prediction.
AtıfScopus7WoS9OpenAlex6İncele - MakaleYalnız künye2019Scopus SJRQ2A comprehensive study about Hibiscus sabdariffa leaves: antioxidant activity, polyphenol profile and macro- and micro-element content
Karaaslan, Nagihan M.
Hibiscus sabdariffa leaves are generally consumed by people in cold drinks and herbal tea. The purpose of this study is to examine in terms of antioxidant activity, polyphenol profile and macro- and micro-element content of H. sabdariffa leaves. Firstly, antioxidant activity studies were carried out by applying antioxidant activity assays to different extracts of the plant leaves. It has been observed that the antioxidant activity results vary depending on the extraction solvent and that the result obtained for one extract in some tests could not be obtained for the same extract in the other tests when solvents are changed. Secondly, the polyphenol profile of this plant was identified with a high-performance liquid chromatography–diode array detector (HPLC–DAD). For this purpose, thirteen polyphenols were examined in leaves of this plant, but only caffeic acid, chlorogenic acid, ellagic acid, p-coumaric acid and quercetin were detected among the studied polyphenols. Finally, macro-element including calcium (Ca), potassium (K), magnesium (Mg), sodium (Na) and micro-element including copper (Cu), iron (Fe), zinc (Zn) analysis was carried out using flame atomic absorption spectrometry (FAAS).
AtıfScopus9WoS8OpenAlex10İncele - MakaleYalnız künye2018Scopus SJRQ4Checklist of Turkish bryophyte vegetation; [Pregled vegetacije mahovina u Turskoj]
Alataş, Mevlüt
U radu je prikazana lista vegetacijskih jedinica mahovina u Turskoj, radena prema metodologiji Braun-Blanquet- a. Ukupno je utvrdeno prisustvo 41 asocijacije i 19 subasocijacija, svrstanih u 19 sveza, 12 redova i 8 klasa. Štaviše, zabeleženo je i 6 zajednica i 17 jedinica nepoznatog fitocenološkog statusa. Briološke vegetacijske jedinice su prikazane u skladu sa njihovim akvatičnim, teresticnim i epifitskim karakterom, zajedno sa njihovim lokalitetima i sinonimima. © 2018 Institute of Botany and Botanical Garden Jevremovac, Belgrade.; A list of the known bryophyte syntaxa in Turkey compiled according to the methodology of Braun-Blanquet is presented in this study. Altogether, 41 associations and 19 subassociations belonging to 19 alliances, 12 orders, and eight bryosociological classes have been determined to date in Turkey. Moreover, six communities and 17 units of unknown phytosociological status have also been reported. The bryosociological syntaxa are grouped on the basis of their aquatic, terrestrial, or epiphytic character and given together with their localities and synonyms.
AtıfScopus9WoS5İncele - MakaleYalnız künye2020Scopus SJRQ2An FMEA-based TOPSIS approach under single valued neutrosophic sets for maritime risk evaluation: the case of ship navigation safety
Başhan, Veysi; Demirel, Hakan; Gul, Muhammet
As in terrestrial facilities, safety is one of the most important issue in ships. Vessels navigating in many parts of the world face many different, tough and dangerous navigational risks. In this context, twenty-three fundamental risks which are frequently encountered in ship navigation were considered in this study and examined by an FMEA-based TOPSIS approach under single valued neutrosophic sets. Because of the lack of data in the literature, the opinions of the experts (Masters) who have many years of experience in the sector were taken. As a result of the study, extreme weather conditions, injury of crew, loss of input of sensory equipment (depth, gyro, speed etc.), struck by ropes, exposure to high speed machineries under high pressures, loss of maneuverability are very important among these risks. Considering these risks, corrective-preventive action plans and managerial implications for ship navigation have been presented. Consequently, the results of this study have an important warning and solution recommendation regarding ship navigation risks.
AtıfScopus123WoS96OpenAlex113İncele - BildiriAçık Erişim2019Bigailab-4race-50K: Race Classification with a New Benchmark Dataset
Talo, Muhammed; Ay, Betul; Makinist, Semiha; Aydin, Galip
Face analysis is the process of extracting useful information such as gender, age and race from a face image. In this study, we look at ways of closing the gap between the capabilities of automatic facial recognition and race classification methods. For this purpose, we take the following two steps. (1) We offer a public race dataset consisting of labeled images to overcome the challenges of real-world race estimation tasks. (2) We present a benchmark study to find race of a human face using a pre-trained Convolutional Neural Network (CNN) model on the large-scale face dataset. We are able to achieve a remarkable accuracy of 97.6% in race classification task.
AtıfScopus3OpenAlex5İncele - Kitap BölümüYalnız künye2021Fine–kinney-based occupational risk assessment using interval-valued pythagorean fuzzy vikor
Gul, Muhammet; Mete, Suleyman; Serin, Faruk; Celik, Erkan
This chapter aims at the adaptation of the Fine–Kinney occupational risk assessment concept into the VIKOR multi-attribute decision-making method with an interval-valued Pythagorean fuzzy set. The classical fuzzy set theory has been improved by proposing a number of extended versions. One of them is the Pythagorean fuzzy set. It has been firstly developed by Yager (IEEE Transactions on Fuzzy Systems 22:958–965, [1]). In this chapter, we use this type of fuzzy set with VIKOR since it reflects uncertainty in occupational risk assessment and decision-making better than other fuzzy extensions. To demonstrate the proposed approach applicability, a case study regarding the activities of the surface treatment area in a chrome plating unit of a gun factory is performed. Some additional analysis to test the solidity and validity of the approach is executed. Finally, the Python codes in the implementation of the proposed approach are given for scholars and practitioners for usage in further studies.
AtıfScopus14OpenAlex5İncele - MakaleAçık Erişim2020Scopus SJRQ3Age and growth of the lessepsian migrant lagocephalus spadiceus (Actinopterygii: Tetraodontiformes: Tetraodontidae) from the gulf of iskenderun, north-eastern mediterranean, turkey
Başusta, Asiye; Başusta, Nuri; Ozcan, Ebru Ifakat; Girgin, Hülya
Background. The population of Lagocephalus spadiceus (Richardson, 1845), one of the Lessepsian species that migrated from the Red Sea to the Mediterranean Sea through the Suez Canal, has been growing rapidly in Turkey in recent years. This situation poses a serious danger to fisheries and human health. There is little information about the biology of this species. The presently reported study permits a greater understanding of the age and growth characteristics of the pufferfish L. spadiceus from the Gulf of Iskenderun, north-eastern Mediterranean. Materials and methods. Samples were captured by commercial bottom trawlers at depths of 24–50 m during 9 trawling operations conducted during the fishing seasons between 2012 and 2013 in the Gulf of Iskenderun, northeastern Mediterranean. Age determinations were carried out using vertebrae. Images of vertebrae suitable for age determination were obtained with a dissecting microscope. The index of the mean percentage error (IMPE) was calculated to assess the precision of the age determinations between two independent readers. Growth parameters for all individuals were then determined by fitting observed and length-at-age data using the von Bertalanffy growth equation. In addition, the condition factor (CF) was determined. Results. A total of 1116 specimens (529 females and 587 males) were sampled, ranging from 6.7 to 34.0 cm in total length and from 4.30 to 557.64 g in weight. The female-to-male ratio was 1:1.1. Age determination was conducted using vertebral band counts. The age of the examined specimens ranged from 0 to 10 years. One female individual was determined to be 17 years of age (45.6 cm and 1269.0 g). The von Bertalanffy growth equations were Lt = 47.21[1 – e–0.116(t+ 2.04)] and Wt = 1296.18 [1 – e–0.116(t+ 2.04)]2.846 for females, Lt = 46.36 [1 – e–0.133(t+ 1.76)] and Wt = 1381.86 [1 – e–0.133(t+ 1.76)]2.817 for males and Lt = 46.90 [1 – e–0.120(t+ 1.97)] and Wt = 1345.67 [1 – e–0.120(t+ 1.97)]2.831 for all individuals. The growth performance index (Ф´) value was calculated as 2.421 for all individuals. The condition factor ranged from 0.890 to 2.768 for females and from 0.899 to 2.767 for males. Conclusions. It is very important to investigate L. spadiceus, an invasive species, in order to prevent its harmful effects on fisheries and human health. As this study is the first study on the age and growth of L. spadiceus in the northeastern Mediterranean, it will significantly contribute to future ecosystem conservation and management strategies.
AtıfScopus6WoS5OpenAlex6İncele - MakaleYalnız künye2018Scopus SJRQ4Epiphytic bryophyte vegetation of the Samanli Mountains (Sakarya-Kocaeli-Yalova-Bursa) in Northwest Turkey; [Epifitska vegetacija mahovina Samanli planine (Sakarya-Kocaeli-Yalova-Bursa) u severozapadnoj Turskoj]
Gözcü, Merve Can; Uyar, Güray; Alataş, Mevlüt; Ezer, Tülay; Ören, Muhammet
Epifitska vegetacija mahovina Samanli planine u severozapadnom delu Turske je istraživana na osnovu 191 snimka uzetih Braun-Blanquet metodom sa stabla drveća tokom 2015. i 2016. godine. Kao rezultat ovih istraživanja, utvrdeno je prisustvo 9 epifitskih asocijacija mahovina i 3 subasocijacije. Medu njima, 2 asocijacije i 2 subasocijacije, Neckero - Anomodontetum viticulosi, Neckero - Anomodontetum viticulosi - anomodontetosum viticulosi, Syntrichietum laevipilae, Syntrichietum laevipilae - orthotrichetosum lyellii, konstatovane su po prvi put na teritoriji Turske. Takode, epifitska vegetacija mahovina je analizirana pomoću multivarijantskih analiza, a uradene su i analize životnih formi i životnih strategija vrsta unutar vegetacijskih jedinica. Kao rezultat, dok su dugoživeće višegodišnje jedinke sa visokim reproduktivnim potencijalom dominantne u epifitskoj vegetaciji mahovina, najćešća životna forma je gusta prostirka. © 2018 Institute of Botany and Botanical Garden Jevremovac, Belgrade.; In the present study, epiphytic bryophyte vegetation of the Samanli Mountains (northwest Turkey) was investigated on the basis of 191 relevés taken from the trunks of trees by the Braun- Blanquet method between 2015 and 2016. Nine epiphytic bryophyte associations and three subassociations were determined as a result of this investigation. Among them, two associations and two subassociations, viz., Neckero - Anomodontetum viticulosi, Neckero - Anomodontetum viticulosi - anomodontetosum viticulosi, Syntrichietum laevipilae, and Syntrichietum laevipilae - orthotrichetosum lyellii, were recorded for the first time in Turkey. In addition, epiphytic bryophyte vegetation was classified and ordinated using multivariate analysis techniques such as two-way indicator species analysis and detrended correspondence analysis. Besides that, the life form and life strategies of the species within syntaxa were analysed. As a result, it is established that while perennial stayers with a high sexual reproductive effort were dominant within the epiphytic bryophyte vegetation comparatively, the most abundant life form was the mat rough type.
AtıfScopus6WoS5İncele - MakaleYalnız künye2019Scopus SJRQ3New singular soliton solutions to the longitudinal wave equation in a magneto-electro-elastic circular rod with M-derivative
Baskonus, H.M.; Gómez-Aguilar, J.F.
In this paper, using the Bernoulli sub-equation function method, we obtain new dark, complex and singular soliton solutions for the longitudinal wave equation in a magneto-electro-elastic circular rod with M-derivative. Many new complex singular soliton solutions are successfully extracted. For better understanding of physical meanings, we plotted 2D and 3D graphs along with contour simulations.
AtıfScopus57WoS54OpenAlex63İncele - MakaleAçık Erişim2019Scopus SJRQ3Antifungal and antibacterial effect of dodder (Cuscuta campestris) used for hepatitis treatment of mothers and newborn infants in Province Mardin in Turkey; [Türkiye'de Mardin ilindeki annelerin ve yenidoğan bebeklerin sarılık tedavisinde kullanılan küsküt'ün (Cuscuta campestris) antifungal ve antibakteriyel etkileri]
Erecevit Sönmez, Pınar; Kirbağ, Sevda; İnci, Şule
Dodder is a plant used for the hepatitis treatment in new born infants in and around Mardin. The aim of this research to determine the antifungal and antibacterial effects of traditionally used dooder is known as a regional folk remedy. Thus and so, the efficacy of the drug has been demonstrated by the inclusion of natural therapeutic antimicrobial agents such as anti-inflammatory and wound healing, including infectious diseases. The antimicrobial effects of these plant was analyzed against bacteria, yeast and dermatopyta fungi by the agar disc diffusion method. The nominal concentration of the plant to prevent from the development of microorganisms was detected with the broth microdulitions method. It was determined that it had sensitive and moderately sensitive antimicrobial effect against all of microrganisms (13-19.66 mm/inhibition zone), growth of tested microrganisms were inhibited at 50-6.25 µL.It is though that this natural herbal resource can light the way for treatment of several diseases and direct the next studies because of having the potential for being used as a new antimicrobial agent.
AtıfScopus7OpenAlex8TR Dizin5İncele - MakaleAçık Erişim2018Scopus SJRQ2Investigation of various soliton solutions to the Heisenberg ferromagnetic spin chain equation
Sulaiman, Tukur Abdulkadir; Aktürk, Tolga; Bulut, Hasan; Baskonus, Haci Mehmet
This study uses two mathematical approaches in constructing dark, bright, kink-type and singular soliton solutions to the Heisenberg ferromagnetic spin chain equation. The (2+1)-dimensional Heisenberg ferromagnetic spin chain equation describes nonlinear dynamics of magnets. The acquired results in this study may help in explaining some physical meanings of some nonlinear physical models arising in electromagnetic waves. For instance, the hyperbolic tangent arises in the calculation of magnetic moment and rapidity of special relativity, the hyperbolic cotangent arises in the Langevin function for magnetic polarization. The 2-, 3-dimensional and the contour plots of all the acquired solutions are presented.
AtıfScopus72OpenAlex84İncele - BildiriYalnız künye2020Scopus SJRQ3Dynamic Features Spaces and Machine Learning: Open Problems and Synthetic Data Sets
Kaya, Sema Kayapinar; Navarro-Arribas, Guillermo; Torra, Vicenç
Dynamic feature spaces appear when different records or instances in databases are defined in terms of different features. This is in contrast with usual (static) feature spaces in standard databases, where the schema of the database is known and fixed. Then, all records in the database have the same set of variables, attributes or features. Dynamic feature mining algorithms are to extract knowledge from data on dynamic feature spaces. As an example, spam detection methods have been developed from a dynamic feature space perspective. Words are taken as features and new words appearing in new emails are, therefore, considered new features. In this case, the problem of spam detection is represented as a classification problem (a supervised machine learning problem). The relevance of dynamic feature spaces is increasing. The large amounts of data currently available or received by systems are not necessarily described using the same feature spaces. This is the case of distributed databases with data about customers, providers, etc. Industry 4.0, Internet of Things, and RFIDs are and will be a source of data in dynamic feature spaces. New sensors added in an industrial environment, new devices connected into a smart home, new types of analysis and new types of sensors in healthcare, all are examples of dynamic feature spaces. Machine learning algorithms are needed to deal with these type of scenarios. In this paper we motivate the interest for dynamic feature mining, we give some examples of scenarios where these techniques are needed, we review some of the existing solutions and its relationship with other areas of machine learning and data mining (e.g., incremental learning, concept drift, topic modeling), we discuss some open problems, and we discuss synthetic data generation for this type of problem.
AtıfScopus4WoS3OpenAlex3İncele - BildiriYalnız künye2020Classification of Hand-Drawn Basic Circuit Components Using Convolutional Neural Networks
Gunay, Mihriban; Koseoglu, Murat; Yildirim, Ozal
In this paper, the Convolutional Neural Network (CNN) architecture, which is one of the deep learning architectures, is used to classify the basic circuit components drawn by hand. During the training and testing stages of the model, a new dataset containing images of 863 circuit components manually drawn by different people is created. The data set contains images of four different classes of circuit components such as resistor, inductor, capacitor and voltage source. All images have been fixed to the same size and converted to grayscale to increase recognition performance and reduce process complexity. In the study, training for four classes is performed with CNN architecture. Based on the CNN architecture, four new CNN models are employed with different the number of layers. The training and validation results of these models are compared separately, the model with the highest training and validation performance is observed with four layer CNN model (CNN-4). This model obtained 84.41% accuracy rate at classification task.
AtıfScopus16WoS5OpenAlex17İncele - Derleme MakaleYalnız künye2018Scopus SJRQ3What makes us happy? Socioeconomic determinants of subjective well-being in Turkey
Birdal, Murat; Acun, Serdar; Onuk, Parla
This article explores the socioeconomic determinants of subjective well-being in Turkey based on the nationwide Turkish Statistical Institute (TURKSTAT) survey held in 2015. Our empirical results point out relationships between subjective well-being and a wide range of factors such as age, gender, marital status, education, income, financial debt, health, religiosity, employment status, type of employment, social security, crime victimization, and perception of insecurity and revealed significant gender-based disparities. Findings from this survey contribute to a broader discussion on determinants of well-being and the role of gender differences, enabling us to draw cultural comparisons.
AtıfScopus3OpenAlex2İncele - MakaleAçık Erişim2018Scopus SJRQ2Dark, bright and other optical solitons to the decoupled nonlinear Schrödinger equation arising in dual-core optical fibers
Baskonus, Haci Mehmet; Sulaiman, Tukur Abdulkadir; Bulut, Hasan
The dynamical systems of soliton propagation through optical fibers for trans-continental and trans-oceanic distances is one of the most interesting areas of study. Optical solitons are restrained electromagnetic waves that stretch in nonlinear dispersive media and allow the intensity to remain unchanged due to the balance between dispersion and nonlinearity effects. In this study, we successfully acquire dark, bright, combined dark–bright, singular and combined singular soliton solutions to the decoupled nonlinear Schrödinger equation arising in dual-core optical fibers by using the extended sinh-Gordon equation expansion method. The constraint conditions for the existence of valid soliton solutions are given. We discuss how change in parameters affect the solitons transmission. We present the 2D, 3D and the contour graphs to some of the reported solutions.
AtıfScopus47OpenAlex48İncele
