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Koleksiyondaki öğeler
- MakaleYayıncıda açık erişim2020Proposal of a Structural Model about Social Media and Electronic Word of Mouth Communication in Political Marketing Process
Tehci, Ali; Yildiz, Salih
The purpose of this study is to investigate trust, loyalty and electronic word of mouth communication in relation to political marketing social media factor on voter behavior through a structural model. The survey data was obtained on the basis of the electronic questionnaire applied to 540 social media users. The data was analyzed in statistical package programs, the hypotheses were tested with structural equation model. As a result of the research, it has been reached that the political marketing social media factor affect to voter trust, loyalty and electronic word of mouth communication and these factors affect voter behavior.
AtıfWoS1TR Dizin1
İncele - MakaleYalnız künye2022The Effect of Procedural Fairness on Voluntary Tax Compliance in the Administrative Resolution of Tax Disputes
Günay, Hamdi Furkan; Gürdal, Temel
This research aims to examine the effect of resolution methods of tax disputes at the administrative stage on voluntary tax compliance in terms of procedural justice. In this direction, 1020 survey data obtained from certified public accountants in Turkey were analyzed by multivariate statistical tests and structural equation modeling. The findings show that procedural fairness in the resolution methods of tax disputes at the administrative stage affects significantly and positively the perception of trust and legitimacy towards the tax administration, as well as voluntary tax compliance. Besides, a significant mediating effect of both trust in the administration and the legitimacy perception in the relationship between procedural justice, which is adapted to the resolution process of tax disputes at the administrative stage, and voluntary tax compliance, has been determined.
AtıfTR Dizin2İncele - MakaleYalnız künye2025The Impact of Nuclear Energy on Environmental, Economic, and Agricultural Dynamics: New Evidence for More Sustainability
Akar, Gokhan; Akyol, Hikmet; Saritas, Tufan
The extremes caused by climate change threaten the economic and agricultural future of nations. This research examined the impact of NE (nuclear energy) on CO2, GDP and Agro-Production Indices (API) for 24 developed and developing countries. The results of the research showed that the variables are cointegrated in the long run. The estimated results of FMOLS and AMG revealed that the use of NE reduces CO2 and increases environmental quality. In this context, our results show that NE contributes to environmental, economic and agricultural sustainability. We found that oil consumption negatively affects all API, and renewable energy (RE) consumption negatively affects agricultural and food production indices. Causality analyses showed that NE policies are compatible with environmental and RE policies. Therefore, the use of NE can play a crucial role in the transition to clean energy in research countries and in the adaptation of the agricultural sector to RE sources. In these countries, it is important to encourage policies that will reduce the dependence of the agricultural sector on fossil fuel consumption and reduce costs in the transition to clean energy sources in terms of food security and sustainable agriculture practices. The integration of nuclear energy into the agricultural sector can contribute to reducing input costs in the agricultural sector and reducing fluctuations and volatilities in food prices. In addition, the continuity of energy supply, technological innovation and infrastructure investments provided by nuclear energy can play a key role in the transition to clean energy and the achievement of the sustainable development goals of countries.
- MakaleAçık Erişim2026Scopus SJRQ1Assessment of topographically influenced gravity-height gradients and plumb line curvature at Sümela Monastery (Türkiye)
Tütüncü, Mehmet; Yilmaz, Nazan
Accurate estimation of gravity-height gradient and plumb line curvature is fundamental for gravity field modeling, geoid determination, and high-precision geodetic applications, especially in mountainous regions. This study presents an integrated computational framework combining terrestrial gravity observations, precise leveling, GNSS measurements, and Global Geopotential Models (GGMs) to estimate and compare gravity-height gradient and plumb line curvature in the rugged terrain surrounding S & uuml;mela Monastery. Simultaneous gravity and leveling surveys were conducted during two observation periods to compute actual and normal gradient, level surface curvature, and plumb line curvature. Additionally, twelve GGMs obtained from the ICGEM service were used to derive the same parameters through spherical harmonic expansions. A comprehensive statistical evaluation, including minimum, maximum, mean, standard deviation, and RMSE, was performed to assess the consistency between terrestrial and model-based results. The results show that normal gradient and level surface curvature from GGMs generally agree well with terrestrial data, whereas larger discrepancies occur in actual gradient and plumb line curvature in areas with steep topographic gradients. CHAMP-based models demonstrate comparatively better consistency in representing plumb line curvature. The proposed framework confirms the reliability of global models at regional scales while emphasizing the importance of terrestrial data in complex topographic environments.
- BildiriYalnız künye2019Meta-Heuristic Algorithms Based Multi-Level Thresholding
Küçükugurlu, Busranur; Gedikli, Eyup
Thresholding is a very important stage in computer vision applications. An ideal single thresholding algorithm is not available for all environments. Multi-level thresholding in environments with multiple objects is constantly being developed for interpretation of images. Kapur entropy and Otsu approaches are among the most successful algorithms in the literature. In this study, it is tried to increase the performance of Otsu and Kapur algorithms by using meta-heuristic optimization approaches. The results of the Firefly Algorithm (FF) and Real Coded Genetic Algorithm (RGA) were evaluated with PSNR, SSIM and CPU processing time criteria.
AtıfOpenAlex1İncele - MakaleYalnız künye2014The 2014 Turkish Municipal Elections Under the Impact of the December 17 Process
Toruk, Ibrahim; Güran, M. Salih
During the course of a political communication process, political actors employ various communication techniques which are developed towards various goals. Particularly election times see a concentration and polarization in political communication actions on various media, but the press maintains still a most strategic role. The aim of this study is to explore the potential of the Turkish press for the projection of the relations between the Ak Party and the Hizmet Cemaati -The Community of Service as it was covered by the headlines on political events during the elections period. Five newspapers with differing political stances were chosen and their news coverage of the last thirty days before the elections was studied in relation to their genre and type, attributes, and definition of meaning. Then, the news coverage was qualitatively content analyzed in comparison to each other. The obtained data was was put to qualitative content analysis used for an analysis of the attitude that the Turkish press presented on the relationship of Ak party-The Community after the December 17 operations in light of the political communication. The analysis exposed clearly that each newspaper was occupied to cover the news according to her engaged ideology and political stance.
AtıfWoS1İncele - MakaleAçık Erişim2021Correlation of bilateral and ipsilateral strength ratios with balance in female taekwondo athletes
Yilmaz, Ali Kerim; Yilmaz, Coskun; Karaduman, Emre; Mayda, Muhammet Hakan; Erail, Serhat; Bostanci, Ozgur; Kabadayi, Menderes
This study aimed to analyze preferred leg (PLs) and non-preferred leg (NPLs) isokinetic knee strength, lateral asymmetry ratios and to examine their correlation with static balance. Sixteen female taekwondo (TKD) athletes voluntarily participated in the study. Knee isokinetic extension (Ex) and flexion (Flx) strength were measured in concentric / concentric (Con / Con) contractions at angular velocities of 60 degrees/s, 180 degrees/s, and 240 degrees/s. Ipsilateral hamstring / quadriceps (H/Q) and bilateral (H/H and Q/Q) ratios were calculated. Static balances were determined by taking the center of body pressure in X (COPX) and Y (COPY) axis. Paired sample t-test and Pearson correlation tests were used in statistical analysis. When the isokinetic knee strength was examined, it was found that 60 degrees/s angular velocity parameter was significantly different in Flx phase while 180 degrees/s and 240 degrees/s angular velocities were found to be significantly different in Ex phase in favor of PLs. There was no significance in bilateral and ipsilateral strength ratios of all angular velocities. There was a significant correlation between 240 degrees/s HQ and COPX in terms of ipsilateral asymmetry ratios whereas a significant correlation was found between 60 degrees/s HH and COPX in terms of bilateral asymmetry ratios. It was found that there were differences in strength between PL and NPLs, but no asymmetry was observed. There was no high level of correlation between lateral asymmetry ratios and balance in female TKD practitioners.
AtıfWoS5OpenAlex9İncele - MakaleAçık Erişim2022Social Capital Measurement in Turkiye: Creating an Index by Province
Pilatin, Abdulmuttalip; Ayaydin, Hasan
The aim of the study is to create a social capital index on the basis of 81 provinces covering the years between 2007-2018 in Turkiye. While creating the social capital index, the method of creating the social capital index obtained from 2 networks and 2 norm variables, which was also used in previous studies, was applied. While the number of foundations and associations on a provincial basis was used as network variables, the rate of voting in parliamentary elections and the rate of response to WVS surveys were used as norm variables. In order to perform principal component analysis, the collected data was entered into the SPSS 23 package program, and the relevant analysis was performed. For this purpose, principal component analysis was applied for the years 2007, 2011, and 2018, when parliamentary general elections were held, and the first component that emerged was taken as an indicator of social capital index. Since social capital does not change in a short period of time for countries, regions, and cities, the index values for the years between 2007, 2011 and 2018 were created with the linear interpolation method using the data, as applied in similar studies. Positive ones among the index values created on the basis of provinces indicate a high level of social capital, while negative values indicate a low level of social capital. When the social capital index values of 2007 and 2018 are examined, it is observed that the social capital levels of the provinces have increased over the years, although there has not been much change in the index values on a provincial basis over the years.
AtıfWoS1OpenAlex2İncele - MakaleAçık Erişim2023Scopus SJRQ3An Automatic Approach for Bone Tumor Detection from Non-Standard CT Images
Reis, Hatice Catal; Bayram, Bulent
Image processing techniques are applied in many fields of science. This study aims to detect tumors in the foot and create 3D models via computed tomography (CT), as well as to produce biometric data. 1 039 CT images were obtained from a server. The parameters used were a collimation of 64 detectors, a scanning thickness of 0,5-3 mm, and a pixel size of 512 x 512, with a radiometric resolution of the 16-bit gray levels. Noise reduction, segmentation, and morphological analysis were performed on CT scans to detect bone tumors. In addition, this study used digital image processing techniques to create a virtual three-dimensional (3D) model of bone tumors. The performance of our proposal was evaluated by analyzing the receptor operating characteristics (ROC). According to the results, the sensitivity, specificity, and precision in tumor detection were 0,96, 1, and 0,98%, respectively, with a 0,99% average F-measure. Radiologist reports were used for the sake of comparison. The proposed technique for detecting bone tumors of the foot via CT can help radiologists with its increased precision, sensitivity, specificity, and F-measure. This method could improve the diagnosis of foot and ankle tumors by allowing for the multidirectional quantification of abnormalities.
AtıfWoS1OpenAlex2İncele - MakaleYalnız künye2011Scopus SJRQ1Microwave-assisted synthesis and characterization of novel symmetrical substituted 19-membered tetrathiadiaza metal-free and metallophthalocyanines and investigation of their biological activities
Nas, Asiye; Kaya, Elif Celenk; Kantekin, Halit; Sökmen, Atalay; Çakir, Volkan
This work reports on a new symmetrically substituted metal-free phthalocyanine and its transition metal complexes which were prepared by a condensation of N,N'-[propan-1,3-diilbis(tiyoetan-2,1-diil)]bis(4-methylbenzenesulfonamid) (1) and 1,2-bis(2-iodomercaptoethyl)-4,5-dicyanobenzene (2) with NiCl(2), ZnCl(2), CoCl(2), CuCl(2), and PbO salts in 2-(dimethylamino) ethanol, respectively. The phthalocyanines bearing thia and aza donor atoms at the peripheral position were characterized by IR, UV-Vis, (1)H NMR, (13)C NMR, Mass spectra, and elemental analysis data. The thermal behaviors of 4-9 were investigated by TG/DTA. Novel phthalocyanines were also investigated for enlightening their possible biological activities by employing antimicrobial (antibacterial and antifungal), antineoplastic and antioxidative assays. Of all tested, four samples exhibited antimicrobial activity against test microorganisms, among which, Branhamella catarrhalis was the most sensitive one with a MIC value around 0.312 mg/mL followed by a yeast, Candida albicans (MIC. 0.625 mg/mL). Due to their colored nature, the samples were found not to be applicable for antioxidative and antineoplastic assays. (C) 2011 Elsevier B. V. All rights reserved.
AtıfWoS8OpenAlex8İncele - MakaleYalnız künye2015How does Globalization Affect Economic Growth Across Different Income Group Countries?
Hayaloglu, Pinar; Kalayci, Cemalettin; Artan, Seyfettin
Economic, social, and political effects of globalization, which accelerated by the impact of developments in information and communication technologies, have been in the lead of much discussed subjects recently. Various globalization indices have been used in the literature for measuring the globalization's level and effects. This study uses consisting of KOF globalization index, which consist of economic, social, and political sub-indices. The study analyzed effects of globalization on economic growth by using panel data analysis for high, upper middle, lower middle and low income countries over the period 1995-2011. According to the results, the effects of globalization on economic growth have differentiated in terms of countries' development level. The result has not changed on using the subcomponent of globalization index.
AtıfWoS4TR Dizin18İncele - MakaleYalnız künye2015Scopus SJRQ2Harvestmen fauna of Gumushane and Bayburt in Turkey
Kurt, Kemal; Erman, Omer Koksal
In this study, all samples were collected from Turkey (Gumushane and Bayburt provinces) between June 2010 and October 2012. They were evaluated systematically. As a result of these evaluations, 20 species in 14 genera belonging to 4 families were determined. One of them, Rilaena triangularis (Herbst, 1799), is recorded for the first time from Turkey. GPS data of each collecting site, and distribution in Turkey and all over the world of these species are presented in the text.
AtıfWoS2İncele - MakaleAçık Erişim2020The Relationship Between Entrepreneurship Levels of the Students of (Sports Sciences) and their Athlete Identities
Bas, Mustafa; Aydin, Elif
The study was carried out on a total of 240 university students, 111 (46.3%) female and 129 (53.8%) male. The Personal Information Form prepared by the researcher and the University Students Entrepreneurship Scale. In the research, the survey model, one of the quantitative research designs, was used. While the entrepreneurship and athlete identity levels of the students differ significantly in the social identity and negative affectivity sub-dimensions according to gender, no significant difference was found in other sub-dimensions. By this relationship between entrepreneurship and athlete identity levels of the students, it was found that there is a positive and significant relationship between entrepreneurship, and social identity and negative affectivity. Further, a positive relationship between entrepreneurship, and social identity and negative affectivity was evidenced. It was determined that the limited sports sub-dimension was not a significant predictor of the entrepreneurship score. A statistically significant difference was found between university students' entrepreneurship and athlete identity levels and their gender, department, class and licensed athlete scores.
- MakaleYalnız künye2025Scopus SJRQ1How do green hotel practices affect guests' behavioral intentions? A PLS-SEM approach
Genç, Gokhan; Zengin, Burhanettin
This study examines how guests' perceptions of green hotel practices (GHP) shape their behavioral intentions, drawing on the Theory of Planned Behavior. It explores the extent to which eco-friendly practices influence guests' loyalty and their likelihood of recommending hotels that prioritize sustainability. Data were collected from 642 hotel guests aged 18 and over who had previous experience with green hotel practices. An online survey was employed, and the data were analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM) with bootstrapping techniques to assess the relationships among guests' perceptions of GHP, satisfaction, and behavioral outcomes. The findings indicate that favorable perceptions of GHP strongly predict guest loyalty and recommendation intentions, with satisfaction as a critical mediator. These results highlight the pivotal role of sustainable practices in fostering positive guest experiences and behaviors in the hospitality industry. The study offers practical insights for hotel managers, enabling them to design and implement effective sustainability strategies that enhance guest satisfaction and loyalty. Furthermore, it contributes to the literature on sustainable tourism by providing robust empirical evidence on the influence of GHP on guest behavior, thus addressing a key gap in hospitality management research.
AtıfWoS5İncele - MakaleAçık Erişim2025Measuring Türkiye's Fiscal Credibility and Transparency through Fiscal Balance and Debt Stock
Ibrahim, Al; Yildiz, Gizem Akbulut; Yildiz, Baris
Fiscal credibility and fiscal transparency affect many basic macroeconomic variables, especially economic growth, inflation and interest rates through expectations. Therefore, increasing credibility and transparency increase the effectiveness of fiscal policy by enabling better management of expectations. The aim of this study is to determine T & uuml;rkiye's fiscal credibility and transparency. For this purpose, T & uuml;rkiye's fiscal credibility and transparency were measured for the 2010-2023 period with the help of various indices, based on the International Monetary Fund's fiscal balance and debt stock expectations. According to the findings, it is possible to say that fiscal credibility decreased in T & uuml;rkiye, the absolute deviation between fiscal balance expectations and official targets increased, and fiscal transparency decreased, especially in the 2019-2022 period.
- MakaleAçık Erişim2025Scopus SJRQ2Optimizing Land Image Classification: A Deep Learning Approach with ResNet-101 on the EuroSAT Dataset
Celik, Fatih; Celik, Kemal
The classification of image is essential to make LULC (Land Use Land Cover) maps. However, the classification of land cover plays a vital role for studying and modernizing the land areas. Recently, deep learning (DL) techniques have achieved outstanding performance in the classification of high-resolution images. Different techniques have been employed in traditional methods to identify LULC due to its complex and ever-changing nature. However, these studies have shown improved outcomes despite some restrictions such as inaccuracies and reduced performance. To address these problems, the proposed study introduces a Squeeze Synchronization Layer (SSL) and a Convolve Craft Focus Module (CCFM) where, SSL reduces input data complexity by removing noise and irrelevant information from images using pooling and convolutional operations also, CCFM enhances feature extraction to improve land classification accuracy. The EUROSAT land image dataset is utilized for the evaluation of the introduced model. Whereas, the dataset comprises of 64x64 images, which are captured by satellite Sentinel-2A in ResNet 101 input layer. Although, a SSL is suggested, and a CCFM is implemented in the convolutional layer for classifying land images. However, the efficiency of the system is evaluated by measuring performance metrics such as recall, F1score, precision, and accuracy values of the proposed system. The accuracy value of the proposed system is 96% of accuracy, 100% of precision, 100% of recall, and 100% of F1-score, signifies the superior efficiency of the proposed model.
AtıfWoS4OpenAlex3İncele - MakaleYalnız künye2012Analyzing the Effect of Web-based Instruction Applications to School Culture within Technology Integration
Çakiroglu, Unal; Akkan, Yasar; Güven, Bulent
Determining the reflections of technology integration applications that are to be performed in our schools is important to light the way of first steps of integration. in this research, the effect of a web-based instruction environment used by 31 different teachers in a high school to school culture is set forth, The school culture is analyzed within the frame of thoughts and relations of teachers and directors and the spread of these applications that are new for the school Case study methodology has been applied in this study; the qualitative and quantitative data have Peen assessed together. The qualitative data of the study include the interviews with teachers, in-class observations, interviews with school directors; the quantitative data are obtained from the surveys applied on teachers. In addition to this, the records obtained from web-based instruction environment have been also used tor interpreting other data At the end of the study, positive changes have been detected over the thoughts and relations of teachers and directors. Moreover, during this research, even though there have been some exceptions, spread of web based instruction activities among teachers has taken Mace in parallel with the general technology diffusion theory. As a result we may say that thanks to this research, a culture based on the changes on the teachers and directors and school, usage of technology has started to be formed. Within this direction, the directors, teachers who are the important elements of school. culture for technology integration have made suggestions for the applications to he applied in school.
AtıfWoS11TR Dizin3İncele - BildiriYalnız künye2015Health-Monitoring System based Tele-tip for Elders
Yildirim, Omer; Özgur, Ramazan; Kaya, Ismail; Kayikçioglu, Temel
Nowadays, developments in the medicine continue fastly. Technological devices developed on the basic of these developments are usually complex and its use isn't easy. In our studies, considering this situation, a wireless system which is used easyly by older adults is improved. Thanks to this system, patient's blood oxygen saturation, blood glucose, blood pressure and body weight values can be monitored remotely and easyly by their doctors. In addition, all of the patients' medical data are saved by server and their doctors can reach patients' medical history data. When all of these operations are in progress, there are wireless devices that are easy to use patient's side.
- BildiriYalnız künye2015Detection of Copy-Move Forgery Using DoGCode
Türk, Salih; Bingöl, Ozkan; Ulutas, Guzin
Copy-move forgery is performed as a part of an image is copied and moved to another region within the same image. For the detection of this type of forgery, usually, feature vectors of the image are created by dividing the image into sub-blocks. Then the feature vector of the region is compared with other regions in the image to reach a conclusion if they are matched. In this study, to determine the copy-move forgery, DoG Coding technique which is more resistant to changes in image brightness is used. Coded new image is formed with the help of this technique often preferred in the palmprint recognition systems and features are determined by dividing the image into sub-blocks. Block based region growing segmentation method have been developed to determine the size of the copied region. Proposed this new approach has been successfully applied on images in the CoMoFod dataset prepared by different scenarios.
- BildiriYalnız künye2017Sign Alterations of LLR Values Based Early Termination Method for LT BP Decoder
Albayrak, Cenk; Simsek, Cemaleddin; Türk, Kadir
In this letter, a new early termination method is proposed for Luby transform (LT) belief propagation (BP) decoder. The proposed method is decided whether BP decoder output converges to original data bits by observing only sign alterations of log-likelihood ratio (LLR) messages in BP decoder structure. Simulation results and complexity analyzes show that proposed method has low computational complexity and small average iteration amounts compared to conventional early termination methods in literature. In addition to this, the proposed method doesn't cause any performance degradation in BP decoder. The method can be easily applied to code families which can be decoded by BP algorithm such as low density parity check (LDPC) codes, polar codes and Raptor codes.
