Sürdürülebilir Kalkınma Amaçları
Yazarlar
- Kulakaç, Nurşen(10)
- Uzun, Sevda(8)
- Yesilelebi, Gl(8)
- Durmuş, İbrahim(7)
- Araz, Onur(6)
- Aksoy, Bahar(5)
- Aydin, Aydanur(5)
- Baltaci, Cemalettin(5)
- Gücer, Mehmet Ali(5)
- Merdan, Mehmet(5)
- Odaci, Hatice(5)
- Peker, Iskender(5)
- Vural, Alaaddin(5)
- Acet, Tuba(4)
- Akyol, Hikmet(4)
- Bülbül, Kenan(4)
- Dokuz, Abdurrahman(4)
- Karabulut, Besim(4)
- Karsli, Orhan(4)
- Kaygusuz, Abdullah(4)
- Ozcan, Handan(4)
- Sımsek, Tugçe(4)
- Türkkan, Tuğba(4)
- Yücel, Cem(4)
- Çam, Handan(4)
- Öz, Mehmet(4)
- Ünker, Faruk(4)
- Ürkek, Bayram(4)
- Şenel, Ebru(4)
- Arslan, Adem(3)
- Arslan, Mehmet(3)
- Aydin, Faruk(3)
- Baltacı, Cemalettin(3)
- Batan, Nevzat(3)
- Bayrakdaroğlu, Serdar(3)
- Cakir, Tufan(3)
- Cengiz, Sevil(3)
- Demir, Sertac Timur(3)
- Demirbağ, Orkun(3)
- Duran, Celal(3)
Yayınlar
- MakaleAçık Erişim2022Insights into brewed tea waste as a green and low-priced adsorbent for solid-phase extraction of Cd(II) ions: isotherm, kinetic, and artificial neural network approach
Ozdes, Duygu; Tilki, Nida; Seker, Serdal; Duran, Celal
In the present research, brewed tea waste (BTW) was utilized as a green, low-priced, and abundant adsorbent for separation/preconcentration of Cd(II) ions through solid-phase extraction method from water and foods for the first time. BTW was applied as a natural adsorbent, without using any chelating agent to bind Cd(II) ions or any chemical reagent for its modification. A three-layer artificial neural network model using backpropagation algorithm was utilized to explicate a prediction model for the extraction performance of Cd(II) ions by selecting the input parameters as solution pH, quantity of BTW, sample volume, eluent concentration and volume, and equilibrium time for desorption. The preconcentration factor, relative standard deviation, and detection limit were attained as 100, 3.03%, and 0.56 µg L−1, respectively. It was decided that the Langmuir isotherm model is acceptable to characterize the retention of Cd(II) ions on BTW. This result pointed out that the active binding sites on the BTW surface are homogeneously distributed. Adsorption capacity of BTW was achieved as 41.5 mg g−1 which is higher than several expensive and difficult-to-prepare adsorbents. Adsorption kinetics was elucidated by pseudo-second order kinetic model. After confirmed the accuracy of the method with spike/recovery studies, it was employed for Cd(II) determination in water (stream and sea water) and food (eggplant, lettuce, parsley, apple, and apricot) samples with high accuracy. The inferences of the study proved that the BTW offers a magnificent application prospect in the extraction of Cd(II) ions.
- MakaleYalnız künye2022Evaluation of the relationship between health literacy and self-efficacy: A sample of hemodialysis patients
Kazak, Aysun; Özkaraman, Ayşe; Topalı, Hasret; Duran, Secil
Purpose: The aim of this study was to evaluate self-efficacy and health literacy of patients undergoing hemodialysis, to investigate the relationship between health literacy and self-efficacy, and to determine the factors affecting self-efficacy. Methods: The study was conducted in Eskisehir and Gumushane state hospitals affiliated to the Public Hospitals Association with the participation of 198 patients receiving hemodialysis treatment for chronic renal failure. The inclusion criteria were as follows: being ⩾18 years old, receiving hemodialysis, and agreeing to participate in the study. The study data were collected using face-to-face interview technique, and they were analyzed using descriptive statistics, correlation, and regression analysis. Results: The mean age of the patients was 59.73 ± 16.32 years. Of the patients, 46% were primary school graduates, and 63.6% reported having other chronic diseases. The mean health literacy and self-efficacy scores were found to be 79.43 ± 26.09 and 23.98 ± 7.42, respectively. The results showed that the self-efficacy scores of the patients increased as the general health literacy scores increased, with a strong linear correlation between these variables (r = 0.712; p ˂ 0.001). Patients with advanced age, low educational level, and widowed patients had lower self-efficacy and health literacy scores than others (respectively eta2 = 0.263, 0.116, 0.268, 0.141). Conclusion: High score of health literacy positively affects the self-efficacy score of hemodialysis patients.
- MakaleAçık Erişim2022Flaxseed and Cornelian cherry: Development of a functional cookie using response surface methodology
İlyasoğlu, Huri; Arslan Burnaz, Nesibe; Arpa Zemzemoğlu, Tuba Eda
Consumers' demand for healthy foods has been increased. The aim of this study was to develop a functional cookie from wheat flour with flaxseed (FS) and Cornelian cherry (CC). The effects of the levels of FS flour (10–30 g for 100 g composite flour) and CC powder (2–10 g for 100 g composite flour) in the cookie formulation on the cookie properties were investigated by using response surface methodology. The lightness of the cookies was decreased with the addition of the FS and CC. The incorporation of the FS into the formulation enhanced the content of omega-3 fatty acids. Both FS and CC enhanced the total phenolic contents (TPCs) and antioxidant capacity of the cookies. Moreover, they did not have effects on the hardness and overall acceptability. The developed cookie contained FS (23.6 g 100 g−1) and CC (10 g 100 g−1) that provided α-linolenic acid (16.5 g 100 g−1), TPC (340.2 mg GAE 100 g−1), and antioxidant capacity (996.6 μmol TEAC 100 g−1). Our study indicated that the combination of wheat flour with FS with CC can have the potential to enhance the nutritional and functional values of the cookies. Novelty impact statement: The combination of wheat flour with flaxseed and Cornelian cherry in the cookie formulation enhanced the contents of omega-3 fatty acids, total phenolic content, and antioxidant capacity of the cookies. The developed cookie may be an alternative product for consumers who look for healthy bakery products.
- MakaleYalnız künye2022The relationship between the risk of eating disorder and meal patterns in University students
Kabakuş Aykut, Memnune; Bilici, Saniye
Purpose: This study was carried out to evaluate the relation between meal patterns and the risk of eating disorders in university students. Methods: The study was conducted on a total of 331 volunteer students with a mean age of 22.08 ± 1.80 years, 56.5% female. Participants’ sociodemographic characteristics, health information and eating habits like meal skipping and dieting were questioned. Sick, Control, One stone, Fat, Food (SCOFF) Eating Disorders Scale and Eating Disorder Examination Questionnaire (EDE-Q) were used to determine eating behavior disorders, with face to face interviews by the researches. Results: A significant correlation was found between dieting and skipping meals and the risk of eating disorders in both genders (p < 0.05). In addition, when the reasons for skipping meals were questioned, a significant relationship was detected between skipping meals and eating behaviour disorders by 3.285 times (p = 0.000). Also, every unit of increase in body mass index (BMI) values of individuals who participated to the study led to an increase in eating disorders by a factor of 1.262 (p = 0.000). Conclusions: Our findings support concerns about the negative health effects of increasing overweight among university students in accordance with the data that the increase in BMI values led to an increase in eating disorders. Notably a significant correlation was found between dieting, skipping meals and the risk of eating disorders in both genders it is highlighting the need for monitoring and early diagnosis of eating disorders in youth with simple scales like SCOFF. Level of evidence: Level V, cross-sectional descriptive study.
- MakaleYayıncıda açık erişim2022A Local Fractional Elzaki Transform Decomposition Method for the Nonlinear System of Local Fractional Partial Differential Equations
Anac, Halil
In this paper, the nonlinear system of local fractional partial differential equations is solved via local fractional Elzaki transform decomposition method. The local fractional Elzaki decomposition transform method combines a local fractional Elzaki transform and the Adomian decomposition method. Applications related to the nonlinear system of local fractional partial differential equations are presented.
- MakaleAçık Erişim2022Closing the Loop in Photovoltaic Solar and Wind Power Supply Chains: An investigation in Turkey through Neutrosphopic-DELPHI-based Force Field Analysis and Neutrosphopic-DEMATEL
Erol, Ismail; Peker, Iskender; Turan, İsmet; Benli, Tolga
Since solar panels and wind turbines have limited lifespans, solar photovoltaic energy supply chain (SPvESC) and wind energy supply chain (WESC) in Turkey needs a paradigm shift to improve the efficiency and recyclability of solar panel and wind turbine components. The circular economy (CE) is a viable strategy for reducing the negative effects of linear supply chains in the SPvESC and WESC. However, despite the several drivers of implementing CE in the SPvESC and WESC, there are also barriers to CE initiatives. It is argued that further studies are needed to explore the drivers and challenges for CE adoption in different industries of developing and developed countries. Hence, the goal of this research is to explore the driving and restraining forces for CE adoption in Turkey's SPvESC and WESC through a decision framework that includes Neutrosphopic DELPHI-based Force Field Analysis, Neutrosphopic-DEMATEL, and Nominal Group Technique. The findings of this research suggested that because the total score of restraining forces is higher than that of driving forces in force field analysis, it is critical to investigate the relationships among the restraining forces. Our findings also suggested that nonexistence of effective incentives and regulations proved to be the most prominent restraining force.
- DüzeltmeAçık Erişim2022Correction to: The First Measurement for Mass Attenuation Coefficients, Effective Atomic Numbers, and Electron Densities of Y123 and Y358 High-Temperature Superconductors (HTS) for the Energies from 46.6 to 1332 keV (Journal of Superconductivity and Novel Magnetism, (2021), 34, 3, (695-703), 10.1007/s10948-020-05771-0)
Düzgün, İbrahim
The original version of this article contained a mistake. Thus this erratum is presented to fix this error. The section “Funding” should read as follows: This study was funded by the Grant-in-Aid for Gümüşhane University Research Fund (GÜBAP), from the Gümüşhane University (Project Number: 13.F5120.02.1).
- MakaleAçık Erişim2022Conformable Fractional Elzaki Decomposition Method of Conformable Fractional Space-Time Fractional Telegraph Equations
Anaç, Halil
Conformable space-time fractional linear telegraph equations are examined using a new method known as conformable fractional Elzaki decomposition method. The suggested method combines the Adomian decomposition method with the conformable fractional Elzaki transform. It is found that numerical simulations confirm the effectiveness and reliability of the proposed method.
- MakaleYalnız künye2022Major tectonic features and geodynamic setting of the Black Sea Basin: Evidence from satellite-derived gravity, heat flow, and seismological data
Maden, Nafiz; Elmas, Ali
The origin and development of the Black Sea Basin (BSB) remain controversial. In this study, we determined the main tectonic features of the BSB using satellite gravity, heat flow, and seismological data. Positive gravity anomalies are observed in the arc region due to high-density material, while negative gravity anomalies are seen in the trench region owing to the mass deficiency and sediments. The trench region has a relatively low heat flow anomalies along the Black Sea coasts. The Moho depth increases from 18.11 km in the Eastern Black Sea Basin (EBSB) to 51.83 km in the Eastern Anatolia Plateau (EAP) with an average of 34.13 ± 6.15 km. The lithosphere thickness changed between 78.48 km beneath Anatolia and 120.57 km below the EBSB with an average of 99.17 ± 8.17 km. The low heat flow and Moho temperature values indicate that the lithosphere is strong and cold beneath the BSB. The numerical results, therefore, provide evidence for southward subduction of the Tethys oceanic lithosphere below the Anatolian plate during the late Mesozoic-Cenozoic. Considering all geophysical and geological data, we conclude that the Black Sea Basin represents a relict basin, rather than a back-arc basin.
- MakaleYalnız künye2022Economic Integration, Spatial Interaction and Labour Income Share: Evidence from the EU-13 Countries and the UK
Çelik, Orkun; Karadağ, Metin
We aim to investigate the effect of Single Market Programme on the spatial interaction of labour income share amongst the EU countries. Spatial panel data analysis is used for the aim of the study. The dataset is obtained from AMECO and WDI databases and covers the time period of 1960–2017. The results show that sign of spatial interaction between these countries in term of the labour income share has turned from positive to negative after the Single Market Programme. In other words, the Single Market Programme has induced to decrease the labour income share by negatively affecting the spatial interaction between these countries. In addition, we find that although the negative impacts of capital-output ratio and trade openness on the labour income share decrease, the negative impact of total factor productivity increases after the Single Market Programme. The results of robustness check also confirm our empirical findings.
- MakaleYalnız künye2022A multi-stage decision making model for determining a suitable innovation structure using an open innovation approach
Yildirim, Ercan; AR, Ilker Murat; Dabić, Marina; Baki, Birdogan; Peker, Iskender
This study seeks to form an end-to-end analysis of Open Innovation stages, developing a three-part consecutive multi-stage decision making model for a suitable innovation structure by linking the processes used to determine the innovation type (open, closed), the OI type (inbound, outbound, coupled), and the collaboration type (science-based, market-based). The decision-making criteria for the OI stage are determined by academic literature and finalized by Delphi technique. The criteria for relationships are determined through expert evaluation. The Fuzzy Analytic Network Process is applied in order to determine the weights and rankings. The most important criterion to consider when choosing the innovation type is open innovation awareness. For the OI type, the most important criterion is knowledge acquisition and, for collaboration, it is network building. This approach allows us to predict the potential risks or costs of the OI process and the possibility of decision errors can thus be reduced.
- MakaleYalnız künye2022Effect of Working Conditions on the Lubricated Wear Behavior of Zn-40Al-2Cu-2Si Alloy in the As- Cast and T6 Heat-Treated States
Savaskan, Temel; Hekimoglu, Ali Pasa; Azakli, Zeki; Calis, Merve
In order to determine the effect of working conditions on the lubricated wear behavior of Zn-40Al-2Cu-2Si alloy in the as-cast and T6 heat-treated states, its tribological properties were studied at different oil flowrates, contact pressures, and sliding speeds in comparison with SAE 660 bronze. It was observed that the friction coefficient, temperature, and wear volume of both materials decrease, but their average surface roughness increase with increasing oil flowrate. As the pressure increased, the friction coefficient and average surface roughness of the experimental materials decreased, but their temperature and wear volume increased. It was also found that the working temperature of these materials increased, but their wear volume showed a decrement and a subsequent increment with increasing sliding speed. In addition, their wear volume and average surface roughness showed opposite changes with the sliding speed. Zn-40Al-2Cu-2Si alloy in both as-cast and heat-treated conditions showed lower wear volume and friction coefficient than SAE 660 bronze. This indicates that Zn-40Al-2Cu-2Si alloy can be used to manufacture diesel engine crankshaft journal bearings.
- MakaleYalnız künye2022In vitro and in silico evaluation of some plant extracts and phytocompounds against multidrug-resistant Gram-negative bacteria
Aydemir, Eda; Sarıyer, Emrah; Akyıldız, Esma; Özad Düzgün, Azer; Camadan, Yasemin; Saral Sarıyer, Ayşegül
The spread of multidrug-resistant Gram-negative (MDR) bacteria is a global public health problem, as infections caused by MDR Gram-negative bacteria are difficult to treat. New antibiotic agents need to be developed to overcome this problem, and phytochemicals show promise at this point. In this study, methanol extracts were prepared from cinnamon, thyme, nettle, white tea, rosehip, and antibacterial activity of the methanol extracts was studied against two MDR Gram-Negative bacteria (K. pneumoniae and A. baumannii) by broth microdilution method. The MICs of methanol extracts of cinnamon, rosehip, thyme, white tea for A. baumannii were found as 0.015125 g/ml, 0.07825 g/ml, 0.030625 g/ml, 0.00796875 g/ml, respectively. It was found that only cinnamon methanol extract had antibacterial activity in the used extract concentrations against K. pneumoniae and the MIC value was 0.0605 g/ml. The effects of plant methanol extract with antibacterial activity and imipenem combinations were studied in vitro using the checkerboard method. The FIC Indexes were obtained from the checkerboard results and it was observed that the combination of methanol extract and imipenem showed an antagonistic or additive/indifferent effect but not a synergistic effect. We evaluated the binding affinity of epigallocatechin 3-gallate, quercetin, cinnamaldehyde, carvacrol, and thymol phytocompounds using in silico methods, which are well known as a phytocompounds in white tea, cinnamon, thyme, nettle, and rosehip and have antibacterial activities. The results suggested that these phytocompounds should be supported with in vivo and in vitro experiments to investigate their potential for being inhibitor candidates.
- MakaleAçık Erişim2022Finite-Time Neuro-Sliding-Mode Controller Design for Quadrotor UAVs Carrying Suspended Payload
Bingöl, Özhan; Güzey, Hacı Mehmet
Due to the quadrotor’s underactuated nature, suspended payload dynamics, parametric uncertainties, and external disturbances, designing a controller for tracking the desired trajectories for a quadrotor that carries a suspended payload is a challenging task. Furthermore, one of the most significant disadvantages of designing a controller for nonlinear systems is the infinite-time convergence to the desired trajectory. In this paper, a finite-time neuro-sliding mode controller (FTNSMC) for a quadrotor with a suspended payload that is subject to parametric uncertainties and external disturbances is designed. By constructing a finite-time sliding mode controller, the quadrotor can follow the reference trajectories in finite time. Furthermore, despite time-varying nonlinear dynamics, parametric uncertainties, and external disturbances, a neural network structure is added to the controller to effectively reduce chattering phenomena caused by high switching gains, and significantly reduce the size of the control signals. Following the completion of the controller design, the system’s stability is demonstrated using the Lyapunov stability criterion. Extensive numerical simulations with various scenarios are run to demonstrate the effectiveness of the proposed controller.
- MakaleAçık Erişim2022Innovative approaches to the trend assessment of streamflows in the Eastern Black Sea basin, Turkey
Akçay, Fatma; Kankal, Murat; Şan, Murat
The issue of detection of hydrometeorological trends remains relevant because of the importance of climate change in design, operation, and management studies related to water resources. This study examines the effects of changes in climate and land use on monthly flows (1962–2018) in the Eastern Black Sea basin, Turkey, using innovative trend analysis methods. In this context, innovative polygon trend analysis (IPTA) and innovative trend significance test (ITST) were used to detect the trends and compared with Mann-Kendall test. Only stations with homogeneous data that did not experience non-climatic changes are used in the analysis. IPTA and ITST approaches are much more sensitive than Mann-Kendall in detecting trends. Although the innovative methods are mostly compatible with each other (90%), IPTA presents additional information about trend transitions between successive parts of time series. Results indicate significant decreasing trends in summer months, likely due to diminishing precipitation and effective evaporation.
- MakaleYalnız künye2022Proportional control moment gyroscope for two-wheeled self-balancing robot
Ünker, Faruk
A two-wheeled self-balancing robot is considered for investigating the responses of a control moment gyroscope powered by a proportional controller to prevent the robot rollover against the constant inertia forces because of accelerations of the wheels of the robot. The amplitudes of the frequency equations related to the required angular momentum of flywheels with an optimum controller gain were also found. A simulation model of the robot using computer-aided engineering software (RecurDyn) is built to verify the equations of a Lagrangian model. The results of both obtained from the Lagrangian and that from RecurDyn simulations are analyzed comparatively, in which the proportional control loop reduces the required flywheel speeds Ω of gyros and keeps the robot in a very small amplitude of a stable sinusoidal motion in the upright position.
- Kitap BölümüYalnız künye2022Symptom and Life Quality Management in Oncology Patients
Demir Doğan, Melike
Quality of life is a multidimensional concept. Therefore, its assessment includes many parameters ranging from happiness and well-being of individuals to environmental quality and ecological structures. A good symptom management is associated with less symptom formation and thus with a better quality of life. Non-pharmacological interventions typically include various psychosocial, behavioral and environmental strategies that can complete traditional treatment to increase the quality of life for cancer patients.
- MakaleAçık Erişim2022A new cryptic species of the Darevskia parvula group from NE Anatolia (Squamata, Lacertidae)
Arribas, Oscar; Candan, Kamil; Kurnaz, Muammer; Kumlutaş, Yusuf; Caynak, Elif Yıldırım; Ilgaz, Çetin
In this study, we re-examine the Darevskia parvula group comprehensively using morphology, osteology and mitochondrial phylogeny, and describe a new endemic species from Turkey: Darevskia tuniyevisp. nov. A total of 257 adult specimens were evaluated for external morphology (scalation and biometry) with univariate (descriptive statistics and ANOVA with post-hoc tests) and multivariate (Discriminant Analysis and ANOSIM) analyses. In parallel, osteological data and molecular analyses using three DNA markers (mitochondrial 16S rRNA and Cyt-b, nuclear Rag-1) were used to complete the description of the new taxon. The molecular phylogenetic analyses indicated that the D. parvula group is composed of three taxa as D. parvula, D. adjarica and D. tuniyevisp. nov., and showed that D. adjarica and D. tuniyevisp. nov. are reciprocal sister taxa. On the other hand, D. adjarica is morphologically very different from other two forms, while D. parvula is hardly distinguishable externally from D. tuniyevisp. nov. Therefore, we can consider that D. parvula and D. tuniyevisp. nov. are cryptic species. These two cryptic species retain their primitive morphology within the group, while D. adjarica has changed, perhaps due to different bioclimatic conditions in its Pleistocene refuge and current area.
- MakaleYalnız künye2022InSiNet: a deep convolutional approach to skin cancer detection and segmentation
Reis, Hatice Catal; Turk, Veysel; Khoshelham, Kourosh; Kaya, Serhat
Cancer is among the common causes of death around the world. Skin cancer is one of the most lethal types of cancer. Early diagnosis and treatment are vital in skin cancer. In addition to traditional methods, method such as deep learning is frequently used to diagnose and classify the disease. Expert experience plays a major role in diagnosing skin cancer. Therefore, for more reliable results in the diagnosis of skin lesions, deep learning algorithms can help in the correct diagnosis. In this study, we propose InSiNet, a deep learning-based convolutional neural network to detect benign and malignant lesions. The performance of the method is tested on International Skin Imaging Collaboration HAM10000 images (ISIC 2018), ISIC 2019, and ISIC 2020, under the same conditions. The computation time and accuracy comparison analysis was performed between the proposed algorithm and other machine learning techniques (GoogleNet, DenseNet-201, ResNet152V2, EfficientNetB0, RBF-support vector machine, logistic regression, and random forest). The results show that the developed InSiNet architecture outperforms the other methods achieving an accuracy of 94.59%, 91.89%, and 90.54% in ISIC 2018, 2019, and 2020 datasets, respectively. Since the deep learning algorithms eliminate the human factor during diagnosis, they can give reliable results in addition to traditional methods. Graphical abstract: [Figure not available: see fulltext.]
- MakaleYalnız künye2022The Effect of Surface Morphology of Silver Nanoparticles on the Selectivity of Styrene Epoxidation
Sarlblylk, Oǧuz Yunus
Catalytic materials at the nanoscale level have an enormous impact on sustainable environmental protection, which is important for the future. Therefore, the researchers will intensively carry out the design of catalytic materials with well-ordered surface structures. In more detail, morphology-controlled nanoparticles have special interactions with the reactants that increase catalytic performance and influence the selectivity for catalytic reactions. For those reasons, obtaining specifically surface structure-tuned nanocrystals having different surface arrangements is a significant priority that promises the best model relationship between well-oriented surface structure and catalytic performance. In this study, silver nanocrystals shaped with cubes, truncated octahedrons, and octahedrons were produced. Their catalytic behaviors were examined as an innovation for epoxidation/oxidation reactions of styrene in mild conditions. The morphological and surface characterizations of nanocrystals were determined by analytical and instrumental methods such as high-resolution transmission electron microscopy energy dispersive X-ray (HR-TEM-EDX), X-ray diffraction (XRD), as well as inductively coupled plasma mass spectroscopy optical emission spectrometry (ICP-OES), and gas chromatography-mass spectrometry (GC-MS). According to the results, nanoparticles having different surface-facets fractions can be employed to increase the selectivity of styrene epoxide.