Sürdürülebilir Kalkınma Amaçları
Yazarlar
- Merdan, Mehmet(7)
- Akaryali, Enver(6)
- Gücer, Mehmet Ali(6)
- Komut, Osman(6)
- Akyol, Mehmet(5)
- Evren, Savaş(5)
- Hintistan, Sevilay(5)
- Ozden, Talat(5)
- Saydam Eker, Çiğdem(5)
- Acet, Tuba(4)
- Akinoglu, Bulent G.(4)
- Alemdag, Selcuk(4)
- Aydin, Metin Mutlu(4)
- Bahar, Bilge(4)
- Baltaci, Cemalettin(4)
- Beken, Hıkmet Gülçın(4)
- Kandemir, Raif(4)
- Keyifli, Nazlı(4)
- Kose, Oguz(4)
- Koç, Pinar(4)
- Oktay, Tugrul(4)
- Pasli, Sinan(4)
- Sirat, Abdulveli(4)
- Tatli, Ozgur(4)
- Taşdelen, Birgül(4)
- Ugur, Omer(4)
- Vural, Alaaddin(4)
- Yildiz, Salih(4)
- Yücel, Cem(4)
- Zeybek, Halil İbrahim(4)
- Çelik, Muhammet(4)
- Ürkek, Bayram(4)
- Şahin, Rıdvan(4)
- Akar, Zeynep(3)
- Akpinar, Muhammet Vefa(3)
- Ar, Ilker Murat(3)
- Araz, Onur(3)
- Arslan, Mehmet(3)
- Ashyralyyev, Charyyar(3)
- Aydin, Faruk(3)
Yayınlar
- MakaleYalnız künye2020An assessment of machine learning models for slump flow and examining redundant features
Ünlü, Ramazan
Over the years, several machine learning approaches have been proposed and utilized to create a prediction model for the high-performance concrete (HPC) slump flow. Despite HPC is a highly complex material, predicting its pattern is a rather ambitious process. Hence, choosing and applying the correct method remain a crucial task. Like some other problems, prediction of HPC slump flow suffers from abnormal attributes which might both have an influence on prediction accuracy and increases variance. In recent years, different studies are proposed to optimize the prediction accuracy for HPC slump flow. However, more state-of-the-art regression algorithms can be implemented to create a better model. This study focuses on several methods with different mathematical backgrounds to get the best possible results. Four well-known algorithms Support Vector Regression, M5P Trees, Random Forest, and MLPReg are implemented with optimum parameters as base learners. Also, redundant features are examined to better understand both how ingredients influence on prediction models and whether possible to achieve acceptable results with a few components. Based on the findings, the MLPReg algorithm with optimum parameters gives better results than others in terms of commonly used statistical error evaluation metrics. Besides, chosen algorithms can give rather accurate results using just a few attributes of a slump flow dataset.
- MakaleAçık Erişim2020Non-Diatom Algae of the High Mountain Protected Lakes in the Artabel Lakes Nature Park, Gümüşhane, Turkey
Şahin, Bülent; Akar, Bülent; Barinova, Sophia
For the first time, we studied 18 lakes of the Artabel Lakes Nature Park and revealed 154 species of non-diatoms algae from four taxonomic Divisions. Charophyta (73 taxa) prevails in the flora and mainly represented by the genus Cosmarium (37). Cyanobacteria (42), Chlorophyta (30) and Eunlenozoa (9) are also present. New records for the Turkish algae flora are represented by 31 taxa, most of which belong to Cosmarium (15) and Staurastrum (5). Rare species from benthic cyanobacteria were revealed in communities of the Artabel Lake. Statistical methods revealed a high individuality of the algae communities and divided it into two major group: Acambol–Yıldız, and Beş–Artabel, which belong to different River Basins. The altitude of the lakes appears to be the major environmental variable that controls the non-diatom algal diversity. Bioindication characterized the water of studied lakes as temperate by temperature, middle saturated with oxygen, neutral to low acidic pH, low saline, Class 2–3 of Water Quality and mesotrophic.
- MakaleAçık Erişim2020A simple design method for multiple tuned mass dampers in reduction of excessive vibrations of high-speed railway bridges; [Yüksek hızlı demiryolu köprülerinde aşırı titreşimlerin azaltılmasında paralel bağlı ayarlı kütle sönümleyiciler için basit bir tasarım yöntemi]
Kahya, Volkan; Araz, Onur
In this study, a simple method is proposed to obtain the optimum design parameters of vibration absorbers consisting of several tuned mass damper units connected each other in parallel. The method is essentially the extension of the formulas proposed by Den Hartog for single degree-of-freedom tuned mass dampers to multiple tuned mass dampers. To demonstrate the effectiveness of the proposed method, an application to high-speed rail bridges are made. The bridge is modeled as a simple Euler-Bernoulli beam, and the train is modeled as a series of moving loads. The equations of motion are solved numerically by the Newmark method. The results of the study showed that multiple tuned mass dampers designed by the proposed method show good performance in reducing the resonance vibrations in high-speed rail bridges.
- MakaleYalnız künye2020AN OVERVIEW TO THE DYNAMIC BEHAVIOUR OF THE INVERTED T TYPE CANTILEVER RETAINING WALL TAKING INTO ACCOUNT SOIL STRUCTURE INTERACTION PHENOMENON
Cakir, Tufan; Ozturk, Kasif Furkan
The dynamic response of the cantilever retaining walls is affected by many factors such as the geometry of the wall, the earthquake frequency content, the wall flexibility, the backfill characteristics, and the soil structure interaction. Therefore, it may not be possible to analyse all aspects of the dynamic response of the cantilever retaining walls in spite of their simplicity. It is also well known that some unfavourable effects on the behaviour of the walls may impair the balance of the wall. In this context, the study aims to investigate the dynamic response of the T type cantilever retaining wall considering soil structure interaction. In line with this purpose, the soil structure interaction system is produced with a three dimensional finite element model. The seismic analyses are performed in time domain using C-OLC360 component of 1983 Coalinga earthquake, and four different foundation soil systems are used in these analyses. The elasto-plastic behaviour of the backfill and the foundation soil are represented with Drucker-Prager material model. In order to reflect the material damping of the system, Rayleigh damping is utilized considering mass and stiffness proportional dampings. In addition, the viscous boundary dashpot elements which consider the criteria of Lysmer and Kuhlemeyer for wave propagation, are placed around the boundaries of the numerical model. The results are examined in terms of both the stresses and displacements. The findings have revealed that the dynamic response of the T shaped cantilever retaining walls is considerably affected by the soil structure interaction.
- MakaleYalnız künye2020Soil geochemistry study of the listvenite area of ayvacik (Çanakkale, Turkey)
Vural, Alaaddin; Aydal, Doğan
Objective of this study is to use soil geochemistry surveys using statistical methods for the exploration of possibly gold mineralization related to Alakeçi listvenite area (Bayramiç, Çanakkale, Turkey). In the scope of soil geochemistry, about 350 soil samples were analyzed and evaluated for nine elements including gold. Element concentrations for Cu, Pb, Zn, As, Sb, Mo, Ni, Co and Au (all element except Au in ppm, Au in ppb) were 10-265, 10-90, 15-545, 5-800, 2-60, 4-8, 10-6300, 15-1255 and 40-300 respectively. The gold concentrations were comparatively detected in low value than important ore deposit and exhibited no correlation with other elements (except Mo). However, positive correlation was observed between Cu and Zn; Sb and As; Mo with As and Sb; Au and Mo; Ni and Co. In literature, Cu, Zn, As, Sb and Mo were widely used as pathfinder elements for exploration of gold mineralization. So, these elements were accepted as pathfinders in this study and their distribution maps were prepared. The element distribution maps for pathfinder elements and gold displayed remarkable zoning in the central to southeast site of the area connected with tectonic lines and lithological borders. So, in conclusion, this part in the area needs to be investigated in detailed with geophysics and drilling methods for blind gold mineralization.
- MakaleYalnız künye2020An EEG-based stereoscopic research of the PSD differences in pre and post 2D&3D movies watching
Manshouri, Negin; Maleki, Masoud; Kayikcioglu, Temel
Despite knowing the reality of three-dimensional (3D) technology in the form of eye fatigue, this technology continues to be retained by people (especially the young community). To check the influences of the human brain's power spectrum density (PSD) pre and post a 2D and 3D movie watching, a five-member test group was arranged. In this study, electroencephalogram (EEG) was used as a neuroimaging method. EEG recordings of five individuals were taken both before and after watching 2D and 3D movies. The main framework of this study was to analyze the effects of power spectrum density (PSD) of the human brain by testing all EEG frequency bands before and after 2D and 3D movie watching, also to determine effective brain lobes, and consequently, EEG channels. After 2D/3D EEG recording, this record was divided into three stages for analysis. These stages consisted of Relax, Watching, and Rest. This benchmarking analysis included I) before and after watching the 2D movie (R2b and R2a), II) before and after watching the 3D movie (R3b and R3a), and III) after watching the 2D/3D movie (R2a and R3a). In the Relax and Rest stages, the 2D/3D EEG power differences in all channels of brain regions for the five EEG bands, including delta (δ), theta (θ), alpha (α), beta (β), and gamma (γ), were analyzed and compared. The PSD based on short-time Fourier transform (STFT) was used to select the dominant bands in this study. Feature extraction was performed on the preprocessed EEG signals using STFT and discrete wavelet transform (DWT). In the 2D analysis, δ, θ, α, and β acted as dominant bands, in 3D, δ, θ, and α were dominant bands, and in 2D/3D, δ and α were selected as meaningful and dominant bands. Partial least-squares regression (PLSR) and support vector machine (SVM) classification algorithms were considered in order to classify the obtained R2a and R3a EEG signals. After the dominant band selection, the correct choice of effective channel combinations in these bands resulted in the percentage of high success of classifiers for Stage III. Taking into account the optimum number of channels, the best percentage of classification accuracy for the average of PLSR and SVM classification results by considering the best channels of SVM and DWT feature extraction method is 91.83% and 80.73% respectively.
- Kitap BölümüYalnız künye2020A discussion on the possible impact of cryptocurrencies on state sovereignty
Karaaslan, Ibrahim
- MakaleAçık Erişim2020Solar irradiation on the rear surface of bifacial solar modules: a modeling approach
Durusoy, Beyza; Ozden, Talat; Akinoglu, Bulent G.
The transition in the energy sector has started with the growing population leading to the growing energy demands. The use of photovoltaic (PV) technologies has become a crucial way to meet energy demand. There are many ongoing studies for increasing the efficiency of commercial PV modules. One way to increase the energy yield of the PV modules is to use bifacial solar panels by capturing the rear side illumination as well. One of the challenges for estimating the bifacial module performances is to calculate the solar irradiation impinging on the rear side. Many models presented up to now require high computational power, and they are challenging to implement real-life conditions. In this paper, a simple physical modeling approach is presented to calculate the rear side solar irradiation incident on the bifacial modules. For the rear side irradiance estimation, the maximum difference between the measured and calculated rear side irradiance value is approximately 10 W/m2. The model does not require high computational skills since it is neither focused on the view factor nor ray tracing methodologies but instead uses solar geometry. The yield of the module is also modeled, calculated, and compared with the measurements.
- MakaleYalnız künye2020ANALYSIS OF RANDOM DISCRETE TIME LOGISTIC MODEL
Merdan, Mehmet; Şişman, Şeyma
In this study, the behavior of the logistic difference model is investigated under random conditions using discrete probability distributions. The logistic difference model consists of parameters that depend on the population models to be used. For the study of random difference equation population models, the parameters are treated as random variables which constitutes the basis of the study. Random models were created using Uniform, Bernouilli, Binom, Negative Binomial (or Pascal), Geometric, Hypergeometric, Poisson distributions and their numerical characteristics are obtained through their simulations. Then, the results showing random numerical characteristics such as expected value, variance, standard deviation, coefficient of variation and confidence intervals were obtained with MATLAB package program. Analysis of random logistic difference model is given with the help of graphics and tables.
- MakaleYalnız künye2020Reading comprehension, Mathematics self-efficacy perception, and Mathematics attitude as correlates of students’ non-routine Mathematics problem-solving skills in Turkey
Öztürk, Mesut; Akkan, Yaşar; Kaplan, Abdullah
Literature that investigates the factors affecting problem-solving evaluates the cognitive and affective components, such as reading comprehension, metacognition, Mathematics anxiety, Mathematics attitude and Mathematics self-efficacy. Recently, studies have shown that Mathematics attitude and Mathematics self-efficacy as affective factors, and reading comprehension as a cognitive factor could play a crucial role in the problem-solving of middle school students. This study investigated the influence of reading comprehension skill, Mathematics self-efficacy perception and Mathematics attitude on non-routine Mathematics problem-solving skills. It is hypothesized that non-routine problem-solving skills are related to reading comprehension skills, Mathematics self-efficacy perception and Mathematics attitudes. To achieve this aim, a reading comprehension skill test, a Mathematics self-efficacy perception scale, a Mathematics attitude scale and a non-routine problem-solving skill test were applied. The instruments were completed by 362 middle school students. A correlation analysis was used to determine the relationship of variables on non-routine problem-solving skills, and the predictive effects of the predictor variables on non-routine Mathematics problem-solving skills were examined by hierarchical regression analysis. The analysis also showed that for middle-school students’ non-routine Mathematics problem-solving skills, all related factors–reading comprehension, Mathematics self-efficacy perception and Mathematics attitude were significant. Reading comprehension skills and Mathematics self-efficacy perception significantly predicted problem-solving skills, and both predictors explained a total of 22% of the total variance.
- MakaleAçık Erişim2020Some Quality Criteria of Valerian (Valeriana dioscoridis Sm.) Growing in Different Environments
Uçar, Esra; Ataş, Mehmet; Çilesiz, Yeter; Çinbilgel, İlker; Eruygur, Nuraniye; Oral, İrem Zeynep; Karaköy, Tolga
Valerian (Valeriana dioscoridis Sm.) is a perennial herb of the Caprifoliaceae family. The genus Valeriana L. is represented by 14 species (15 taxa) in Turkey. This plant contains flavone glycosides, iridoids and lignans. Among these components, the medically important active ingredient is valerianic acid. Essential oils from valerian roots and rhizomes are used for the treatment of various diseases, including insomnia, mental illness, anxiety, menstrual cramps and physical stress conditions. In this study, evaluations were made of the root and rhizome of valerian plants grown in a natural environment and in greenhouse condition. The macro and micro nutrient contents of the powdered plant samples, and the antioxidant and antimicrobial activity values of the extracts were reported. Except for some macro and micro elements, it was determined that antioxidant and antimicrobial activities of plants cultivated and grown in nature were not different. The major components of both the natural and cultivated forms were determined to be 9-Borabicyclo [3.3.1] nonane, 9-[3-(dimethylamino) propyl]- (17.55% and 22.65%, respectively). The heavy metales such as Fe (415.21±47.8 mg/kg), Cu (50.9±0.2 mg/kg) and Mn (274.6±9.5 mg/kg), were obtained above limit values in grown plants of natural environment conditions.
- MakaleAçık Erişim2020Historical aurora borealis catalog for Anatolia and Constantinople (hABcAC) during the Eastern Roman Empire period: Implications for past solar activity
Maden, Nafiz
Herein, Anatolian aurorae are reviewed based on the existing catalogs to establish a relationship between the aurora observations and past solar activity during the Medieval period. For this purpose, historical aurora catalogs for Constantinople and Anatolia are compiled based on the existing catalogs and compared with those in the Middle East region. The available catalogs in the literature are mostly related to the records observed in Europe, Japan, China, Russia, and the Middle East. There is no study dealing only with the historical aurora observations recorded in Anatolia and Constantinople. The data of the catalog show that there is a considerable relationship between the aurora activity and past strong solar activity. High auroral activity around the extreme solar particle storm in 774/775 and the Medieval grand maximum in the 1100s in Anatolia and the Middle East is quite consistent with the past solar variability reported in other scientific literature.
- KitapYalnız künye2020Rethinking European Union In A Changing World: Politics, Economics And Issues
Ugur, Omer
With the establishment of the EU, the goals and policies pursued through European Communities, and the targets and policies covered by new action areas, which include Economic and Monetary Union, European Citizenship, Common Security and Foreign Policy which will be progressed gradually by European Union treaty, have started to be addressed as a whole. The identity of the EU at the global level has also experienced change. In this context, the EU represents a political structure on its own, with its institu-tions, activities and authority, which constitute a supranational structure. Of course, it is not possible to say that this process continues without any problems and disputes. However, when we look at the development process of the EU, it is seen that this change and the transformation continue in the context of the requirements and the process continues dynamically. In this context, this study includes other studies discussing the developments of the EU in different policy spaces. In these studies, it has been examined whether EU policies have an impact on national structures, practices and actors and if there is, how and under what conditions this has become clear.
- MakaleAçık Erişim2020Effect of cereals milling on the contents of phytic acid and digestibility of minerals and protein
Ertop, Muge Hendek; Bektas, Muberra; Atasoy, Rabia
Introduction. The aim of the study was to the examination of effects of the milling process which were applied differently to cereals for commercially flour production, on the phytic acid, microelement, and in-vitro digestibility. Materials and methods. The nutritional consequences of the milling processes of the cereals (wheat, barley, rye, oat, paddy) were evaluated by examining protein, ash, phytic acid, mineral contents, and protein/mineral digestibility rates. Mineral contents were measured by inductively coupled plasma optical emission spectroscopy (ICP-OES), protein content by Kjeldahl method, and mineral digestibility and phytic acid were determined by in-vitro assays. Results and discussion. The dehulling/debranning process increased the protein digestibility rate over to 65% and decreased phytic acid content significantly (p0.05) of the cereal grains except for rye. The mineral digestibility raised for all grain samples, but it was evaluated statistically insignificant (p0.05). The rice flour was the sample that had the lowest phytic acid content (921.87 mg/100g) and the highest mineral digestibility rate (58.35%). Although the contents of total ash and some of the minerals (Na, Ca, K, Mg, Zn, Fe, Ba, and P) decreased in flours especially in wheat and paddy, the rate of some minerals (Na, Mg, Zn, Fe, and Al) increased due to their distribution and localization in the grain layers, especially in rye and oat. The result of the study has shown that the level of the minerals changed depending on the bran/hull content of the grains, and the milling process was more effective on phytic acid content and on protein digestibility than on the mineral digestibility. While the phytic acid content was located on the outer layer of the grain, it was decreased in the kernel. Conclusions. Although the phytic acid content which affects the digestibility of the cereals were reduced by the milling process, the combination of different treatments such as soaking, fermentation could be suggested for improving the nutritional quality of the cereal.
- BildiriYalnız künye2020A fuzzy decision maker to determine optimal starting time of shiftable loads in the smart grids
Altaş, Ismail Hakkı; Çakmak, Recep
Smart grid studies have been increased tremendously for past ten years in order to modernise and solve problems of current electrical grids. One of the aim of the smart grids is to react autonomously to the problems in electrical networks by means of artificial intelligence and decision maker. Fuzzy logic-based embedded control systems simulate human thoughts and decision making processes. So, fuzzy logic and fuzzy decision makers can be utilised in smart grids for automated system management. In this paper, a fuzzy decision maker has been proposed to manage time-shiftable loads in residences. The proposed fuzzy decision maker determines optimal starting time of time-shiftable loads in residential areas in order to provide balanced power curve and decrease peak load consumptions by scheduling the loads. Design stage of the proposed fuzzy decision maker have been introduced and presented clearly. Finally, a design example has been given to show the decision results.
- Kitap BölümüYalnız künye2020Effect of refugees on the components of economic misery: An empirical analysis of top refugee-hosting countries
Büyükakin, Figen; Bayraktar, Yüksel; Özyilmaz, Ayfer
- Kitap BölümüYalnız künye2020Social Memory and Cultural Identity
Ak, Muammer
- MakaleAçık Erişim2020The Costs of Disability in Turkey
İpek, Egemen
In this study, the additional economic cost of disability for households is calculated using a standard of living approach (SoL) for Turkey. Firstly, the Standard of Living (SoL) index is determined using principal components analysis through the Household Budget Survey data for the year 2014. The cost of disability is estimated using ordered logit method by dividing the index into three income groups such as low, middle and high. As a result of the analysis, it is estimated that households with disabilities need additional financial support of at least 9.1% of household income in order to reach the same standard of living as those without disabled individuals. In addition, two different levels of disability, which are working life disability and daily life disability, are considered in estimating the cost of disability. While the cost caused by individuals’ disabilities in working life is 14.6% of their household's income, the ratio is 9.1% for the individuals’ disabilities in daily life.
- MakaleYalnız künye2020Hazard analysis using a Bayesian network and linear programming
Efe, Burak; Kurt, Mustafa; Efe, Ömer Faruk
In order to make a system safer, it is necessary to determine which hazard should be removed by considering the interactions of all hazards in the process. In this study, the influence of the hazards related to iron works in a construction firm is examined by Bayesian network approach. If only the most important hazard is identified and removed from the work environment, it may be erroneous to comment on the levels of the remaining hazards. A Bayesian network is proposed to remove this problem. If there is more time and budget than planned for a process, these capacities will have to be reduced in other processes. Linear programming is proposed to remove this problem. A strong decision support system has been established by combining a Bayesian network and linear programming. A construction firm application has been demonstrated using the proposed method.
- MakaleAçık Erişim2020Biological activities and phytochemical screening of ethanol extracts from adonis paryadrica (Ranunculaceae)
Ucuncu, Osman; Baltaci, Cemalettin; Akar, Zeynep; Duzgun, Azer Ozad; Cuce, Mustafa; Kandemir, Ali
In this study, secondary metabolite profiles of flower, leaf and root of Adonis paryadrica ethanolic extracts were performed by using a newly developed and validated LC-MS/MS method. For this purpose, the LC-MS/MS system was used for the quantitative and qualitative analysis of 37 phytochemicals. The main component of the flower, leaf and root extracts was the quinic acid (160, 111 and 64 mg/kg, respectively). Antioxidant activities were determined using methods such as DPPH (SC50, mg/mL), FRAP (µM TEAC), CUPRAC (µM TEAC), ABTS (SC50, mg/mL) and TPC (GAE, µg/mL). While the highest antioxidant activity value for FRAP, CUPRAC, ABTS and TPC methods was determined in the leaf part of the plant, this value was determined in the flower part for DPPH. The antibacterial effects of the plant extracts were determined by liquid microdilution and agar diffusion methods. As a result, antimicrobial effect of flowers, leaf and all sections of plant extracts were determined except plant root extracts which did not display any activity against bacteria. Antimicrobial activity of the plant flower extract was found to be higher especially against to P. vulgaris with 3.5 mg/mL MIC.