Sürdürülebilir Kalkınma Amaçları
Yazarlar
- Bulut, Hasan(53)
- Baskonus, Haci Mehmet(52)
- Alataş, Mevlüt(39)
- Gul, Muhammet(39)
- Serdar, Osman(38)
- Güler, Ömer(37)
- Akkurt, Nevzat(31)
- Benzer, Fulya(30)
- Sulaiman, Tukur Abdulkadir(29)
- Yucesan, Melih(29)
- Zengin, Gokhan(29)
- Kocabaş, Mehmet(28)
- Topal, Murat(26)
- Batan, Nevzat(25)
- Kök, Mediha(25)
- Ezer, Tülay(24)
- Paksoy, Mehmet Yavuz(24)
- Yildirim, Ozal(23)
- Tekin, H.O.(22)
- Utku, Anıl(22)
- ALMisned, Ghada(21)
- Ince, Muharrem(21)
- Öbek, Erdal(21)
- Erten, Fusun(20)
- Aslan, Naim(19)
- Celik, Erkan(19)
- Yildirim, Numan(19)
- Cakilcioglu, Ugur(18)
- Dal, Murat(18)
- Dal, Nursel Alp(18)
- Sahin, Kazim(18)
- Özkaynak, Fatih(18)
- Aslan, Alper(17)
- Erata, Hüseyin(17)
- Orhan, Cemal(17)
- Ergen, Burhan(16)
- Tanyol, Mehtap(16)
- Demir, Yakup(15)
- Etli, Serkan(15)
- Işık, Erdem(15)
Yayınlar
- MakaleAçık Erişim2019Scopus SJRQ2Effect of gilsonite use on storage stability of styrene-butadiene-styrene modified bitumen
Yalçın, Erkut; Çeloğlu, M. Ertuğrul; Akpolat, Mustafa; Yamaç, Özge Erdoğan; Alataş, Taner; Kök, Baha Vural; Yılmaz, Mehmet
Styrene-butadiene-styrene (SBS) polymer is one of the most preferred additives to improve performance in hot mix asphalt pavements. The storage instability, in other words, the separation of a polymer-rich phase from the bitumen-rich phase in the course of storage and transportation is one of the prevalent problems in SBS modified bitumen. The present study attempted to obtain modified bitumen at the same performance level with the SBS modified bitumen, but stable with respect to the storage stability. For this purpose, both SBS and American Gilsonite (AG) were used in modified bitumen production. It was determined that modified bitumen at the same performance level was obtained with the use of 5 % SBS or 18 % AG in bitumen modification. It was also determined that the performance levels of the modified bitumen obtained with the use of 2 % SBS + 13 % AG, 3 % SBS + 10 % AG and 4 % SBS + 6 % AG were similar. Additionally, 2 %, 3 % and 4 % SBS modified bitumen were used for the assessment of storage stability properties of the SBS modified binders. These 8 different modified bitumen samples were tested for storage stability based on the EN 13399 standard. Penetration, softening point, rotational viscometer, bending beam rheometer, and dynamic shear rheometer tests were conducted on the samples. Based on all conducted tests, it was determined that more stable binders were obtained with the use of AG and SBS in terms of storage stability compared to solely SBS modified bitumen.
AtıfScopus18WoS15OpenAlex15
İncele - MakaleAçık Erişim2019Scopus SJRQ3Examining sexual functions of women before and after menopause in Turkey
Yağmur, Yurdagül; Orhan, İlksen
Background: Sexuality is an important factor that completes the lives of individuals and affects people in all age groups. Objectives: To examine the sexual functions of women before and after menopause. Methods: This cross-sectional study was conducted at the Family Health Centers in Tunceli Turkey,\ between September 2014 and February 2015. The study data were obtained using a Questionnaire and the Female Sexual Function Index. The data were analyzed by number, percentage distribution, mean, standard deviation, t-test, and using binary logistic regression analysis. Results: The mean Female Sexual Function Index score of the women was 23.8±8.0. The Female Sexual Function Index score of 59.7% of women was below the cut-off score (26.55) and was accepted indicative of sexual dysfunction. Low educational level (P < 0.01), low income (P < 0.01), and menopausal status (P < 0.0001) of the women were risk factors for sexual dysfunction. Conclusion: Prevalence of sexual dysfunction in the women was very high and they indicated no effort to seek medical care. Low educational and income level and menopausal status of the women were three factors increasing the risk of sexual dysfunction. Awareness of the society and the healthcare professionals about the issue should be increased.
AtıfScopus18WoS18OpenAlex19
İncele - MakaleAçık Erişim2019Scopus SJRQ1An interval type-2 fuzzy QUALIFLEX approach to measure performance effectiveness of ballast water treatment (BWT) system on-board ship
Demirel, Hakan; Akyuz, Emre; Celik, Erkan; Alarcin, Fuat
Ballast water is of paramount importance for safe and efficient shipping operation since it provides ship’s strength and stability. The ballast water, on the other hand, poses serious marine ecological problems due to the non-indigenous species (NIS) carried in sea water. The International Maritime Organisation introduced International Convention for the Control and Management of Ships’ Ballast Water and Sediments (BWM Convention) to prevent the spread of harmful species from one region to another via ballast water. According to the convention, each ship must be equipped with a proper ballast water treatment system (BWTS). In this context, this paper is aimed at measuring the performance effectiveness of current BWTS used in ships. To achieve this purpose, a Qualitative Flexible (QUALIFLEX) method is used under interval type-2 fuzzy sets (IT2FSs) environment. While the QUALIFLEX handles all possible permutations of the alternatives for outranking, the IT2FSs deal with uncertainty this paper provides practical benefits to ship owners, ship’s safety inspectors, managers and marine environmentalists during decision-making progress of the BWTS settlement on-board ship.
AtıfScopus25OpenAlex28İncele - MakaleAçık Erişim2019Scopus SJRQ1Phytochemical characterization and bioactivities of five Apiaceae species: Natural sources for novel ingredients
Zengin, Gokhan; Mahomoodally, Mohamad Fawzi; Paksoy, Mehmet Yavuz; Picot-Allain, Carene; Glamocilja, Jasmina; Sokovic, Marina; Diuzheva, Alina; Jekő, József; Cziáky, Zoltán; Rodrigues, Maria João
Several species of the Apiaceae family have been employed in traditional cultures for their curative virtues. The present study focused on five Apiaceae species, (Falcaria vulgaris (FV), Smyrniopsis aucheri (SA), Smyrniopsis munzurdagensis (SM), Smyrnium cordifolium (SC), and Actinolema macrolema (AM)). The antioxidant, enzyme inhibitory (α-amylase, α-glucosidase, acetyl- and butyrylcholinesterase, lipase, and tyrosinase), antimicrobial, phytochemical, and cytotoxicity profiles of the methanol extracts of the selected Apiaceae species were determined. SC extract (35.68 mg gallic acid equivalent/g extract) possessed the highest phenolic content while the AM extract (56.79 mg rutin equivalent/g extract) had the highest flavonoid content. HPLC-ESI-MS (High performance liquid chromatography-electrospray tandem mass spectrometry) analyses showed presence of ferulic acid in all the five species. SC extract exhibited high radical scavenging (59.28 and 94.31 mg Trolox equivalent [TE]/g extract, DPPH (1,1-diphenyl-2-picrylhydrazyl) and ABTS (2,2′-azino-bis(3-ethylbenzothiazoline)-6-sulfonic acid), respectively) and reducing activity (161.44 and 113.62 mg TE/g extract, for CUPRAC (cupric reducing antioxidant capacity) and FRAP (ferric reducing antioxidant power), respectively). SM extract exhibited the highest cholinesterase's inhibitory action (3.82 and 4.76 mg galantamine equivalent/g extract, for acetyl- and butyrylcholinesterase, respectively). The extracts showed higher inhibition against α-glucosidase (7.32-11.99 mmol acarbose equivalent [ACAE]/g extract) compared to α-amylase (0.51-0.55 mmol ACAE/g extract). SC extract was the most active (137.54 mg kojic acid equivalent/g extract) tyrosinase inhibitor and FV extract (113.75 mg Orlistat equivalent/g) the best lipase inhibitor. SM extract showed potent antibacterial effect against B. cereus (MIC (minimum inhibitory concentration) 0.180 mg/mL), P. mirabilis (MIC 0.180 mg/mL), M. flavus (MIC 0.560 mg/mL), P. aeruginosa (MIC 0.275 mg/mL), and S. typhimurium (MIC 1.500 mg/mL). FV extract (MIC 0.140 mg/mL) suppressed A. fumigatus growth. Cytotoxicity was assessed on murine macrophage (RAW 264.7), human embryonic kidney (HEK 293), and human hepatocellular carcinoma (HepG2) cell lines. FV (60.3%) and SM (57.4%) showed the highest reduction on RAW 264.7 cellular viability, whereas SM (74.1%) showed toxicity against HepG2. This study supports that the Apiaceae species could be considered as promising candidates for the development of novel pharmacophores for the management of several human ailments.
AtıfScopus51OpenAlex47İncele - Derleme MakaleAçık Erişim2019Stochastic multi-criteria decision-making: an overview to methods and applications
Celik, Erkan; Gul, Muhammet; Yucesan, Melih; Mete, Suleyman
Background: The alternatives selection problem with multi-criteria in stochastic form variables is called as stochastic multi-criteria decision-making. The stochasticity of the criteria is considered using stochastic dominance, prospect theory, and regret theory. Main text: In this paper, a total 61 papers are reviewed and analyzed based on method(s) used in stochastic multi-criteria decision-making problem, method used in stochasticity, specific objective, application area, and so on classification. All papers with respect to classification aspects are examined their real or empirical applications. Moreover, the studies are statistically investigated to present the latest trends of stochastic multi-criteria decision-making. Conclusions: This detailed review study ensures a comprehension for researchers on stochastic multi-criteria decision-making in respect of showing up-to-date literature and potential research areas to be concentrated in the future. It is observed that the stochastic multi-criteria decision-making problem has an attractive approach by researchers.
AtıfScopus19WoS15OpenAlex19İncele - 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 - 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.
AtıfScopus32OpenAlex32İncele - 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 - 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 - 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 - 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 - MakaleAçık Erişim2019Scopus SJRQ3On the exact and numerical solutions to the coupled Boussinesq equation arising in ocean engineering
Sulaiman, T.A.; Bulut, H.; Yokus, A.; Baskonus, H.M.
The studies of the dynamic behaviors of nonlinear models arising in ocean engineering play a significant role in our daily activities. In this study, we investigate the coupled Boussinesq equation which arises in the shallow water waves for two-layered fluid flow. The modified exp (- φ(ζ)) -expansion function method is utilized in reaching the solutions to this equation such as the topological kink-type soliton and singular soliton solutions. The interesting 2D and 3D graphics of the obtained analytical solutions in this study are presented. Via one of the reported analytical solutions, the finite forward difference method is used in obtaining the approximate numerical and exact solutions to this equation. The Fourier–Von Neumann analysis is used in checking the stability of the used numerical method with the studied model. The L 2 and L ∞ error norms are computed. We finally present a comprehensive conclusion to this study.
AtıfScopus83OpenAlex108İncele - MakaleAçık Erişim2019Scopus SJRQ2l-Arginine Improves Sperm Motility in Threatened Coruh Trout Salmo coruhensis (Teleostei: Salmonidae)
Kocabaş, Mehmet; Kutluyer, Filiz; Erişir, Mine; Benzer, Fulya
l-arginine is a versatile amino acid and precursor of nitric oxide that provides protection for preventing free radical damage. Herein, experiments were designed to clarify the effect of l-arginine supplementation on the sperm motility of a threatened trout, Coruh trout Salmo coruhensis. Activation solution was supplemented with levels of 0 mM (Control), 2 mM, 4 mM, and 8 mM l-arginine, and motility and survival of sperm cells were assessed. The selected concentrations were determined according to results of our preliminary experiments. The sperm motility rates at l-arginine concentrations of 0, 2, 4, and 8 mM were 73.33 ± 5.77%, 76.67 ± 5.75%, 80.01 ± 0.01%, and 90.00 ± 0.05%, respectively; notility durations were 21.67 ± 2.08, 32.33 ± 3.79, 32.67 ± 1.15, and 37.00 ± 6.38 s, respectively. Significant effect of l-arginine supplementation was determined on the percentage and duration of motile spermatozoa (p < 0.05). The maximum increment was evoked at the greatest concentration (8 mM). Here, we showed that l-arginine supplement can improve sperm motility of S. coruhensis.
AtıfScopus1WoS1OpenAlex2İncele - MakaleAçık Erişim2019Scopus SJRQ3What is the predictive power of visual mathematics literacy perception and its sub-dimensions for geometry success?; [Görsel Matematik Okuryazarlığı Alt Boyutlarının Geometri Başarısını Yordama Gücü Nedir?]
Ilhan, Aziz; Tutak, Tayfun; Celik, Halil Coskun
Purpose: In this study, it was aimed to examine the relationship between the visual mathematics literacy perceptions and its sub-dimension for geometry success levels of prospective teachers. It was also aimed to examine to what extent visual mathematics literacy perception and its sub-dimensions predicted geometry success. Research Methods: This study was designed in accordance with a qualitative, scanning model. The research was carried out with 232 (97 males and 135 females) prospective teachers who studied in Mathematics Education Program at Firat University, Education Faculty, and were selected by simple random sampling method. “Visual Mathematics Literacy Perception Scale” and “Geometry Success Test” were employed in this study as data collection tools. Correlation analysis and multiple regression analysis were used for analyzing the data. Findings: After the data were analyzed, it was determined that there was a positive relationship between the visual mathematics literacy perception and geometry success of prospective teachers. It was also determined that visual mathematics literacy perception is a meaningful predictor of geometry success. Implications for research and practice: Providing trainings on these concepts in the direction of the results, to investigate the concept of perception on other learning areas of mathematics and conducting experimental studies on the perception of visual mathematics literacy are suggested.
AtıfScopus5WoS2OpenAlex7TR Dizin2
İncele - MakaleAçık Erişim2019Scopus SJRQ3Optimization of medical waste routing problem: The case of TRB1 region in Turkey
Mete, Suleyman; Serin, Faruk
A fundamental problem concerning medical waste disposal is the evaluation of the real and potential risks arising from waste with the focus on the risk of infection. Therefore, the optimization of medical waste routing from collection to disposal center can minimize the risk of infection. The routing of medical waste considers significant to determine potential routes and select the route with minimum distance. The management of the medical waste is important decision for environmental sustainability and includes the collection, transportation and disposal of these materials. In this paper, a geographic information system (GIS) solution approach is proposed to determine the best location of disposal center. Proposed approach is applied to medical waste transportation between 167 health institutions (collection centers) and predetermined 5 disposal centers through TRB1 region in Turkey, which consist of Malatya, Elazığ, Bingöl and Tunceli provinces. The results of case study are examined and suggestions for future research are provided.
AtıfScopus7OpenAlex7İncele