Sürdürülebilir Kalkınma Amaçları
Yazarlar
- Uzun, Sevda(22)
- Kulakaç, Nurşen(13)
- Tonkaz, Duygu Erkal(9)
- Tonkaz, Mehmet(9)
- Baltaci, Cemalettin(8)
- Vural, Selvi(8)
- Yılmaz, Coşkun(7)
- Bayrakdaroglu, Serdar(6)
- Günen, Mehmet Akif(6)
- Karimullah, Suud Sarim(6)
- Türkkan, Tuğba(6)
- Şimşek, Ahmet Bahadır(6)
- Akyürek, Suat(5)
- Anaç, Halil(5)
- Avcı, İbrahim(5)
- Beder, Murat(5)
- Doğan, Melike Demir(5)
- Emirza, Elif Güzide(5)
- Gönan, Yavuz(5)
- Merddan, Kurtuluş(5)
- Tonkaz, Gokhan(5)
- Zaman, Tolga(5)
- Akar, Zeynep(4)
- Akdemir, Enes(4)
- Akçay, Serhatcan Berk(4)
- Altan, Aytaç(4)
- Anıl, Berna(4)
- Aydin, Aydanur(4)
- Bingol, Ozkan(4)
- Bozkurt, Ferhat(4)
- Ceylan, Halil Ibrahim(4)
- Dogan, Ramazan Ozgur(4)
- Doğan, Hasan(4)
- Gedikli, Eyup(4)
- Günay, Hamdi Furkan(4)
- Kaygusuz, Abdullah(4)
- Kayhan, Recep Fatih(4)
- Kenek, Gökhan(4)
- Kurt, Kemal(4)
- Köse, Aslı(4)
Yayınlar
- MakaleAçık Erişim2024A NEW LOGARITHMIC TYPE ESTIMATORS FOR ANALYSIS OF NUMBER OF AFTERSHOCKS USING POISSON DISTRIBUTION
Zaman, Tolga; Iftikhar, Soofia; Sozen, Caglar; Sharma, Prayas
Earthquake is a fierce and unavoidable natural disaster. The study of aftershocks following an earthquake provides a comprehensive understanding of seismic activity, making it an important area of research. Although it is important to mention that the use of the Poisson distributed population, to estimate the mass mean of rare events such as earthquakes, has been little studied in the literature. In this context, this study proposes a new class of logarithmic type ratio estimators for estimating the mean of a Poisson distributed population in a simple random sampling without replacement. The proposed estimators are obtained using the logarithmic transformation of the ratio estimator, and the expressions for the mean square error (MSE) are also derived to the first order of approximation. The study demonstrates that the proposed logarithmic type estimators are more efficient than the existing estimators, both theoretically and empirically. The Empirical evidence from a real data study conducted using earthquake data from Turkey confirms the superiority of the proposed estimators over the existing estimators. The study provides valuable insights for researchers and practitioners working with Poisson distributed populations and requiring ratio estimators using simple random sampling without replacement.
AtıfWoS6OpenAlex4
İncele - MakaleAçık Erişim2024Physicochemical, sensory and antimicrobial properties of the ice cream containing lavender (Lavandula angustifolia) essential oil
Ürkek, Bayram; Aktas, Haktan; Öztug, Mirac Ozer; Yeniçeri, Esra; Öztug, Pinar
In this study, lavender essential oil (LEO) was added to ice creams as ingredient at 0, 0.02, 0.05 and 0.1% ratios. Some physicochemical, viscosity, rheological, colorimetric, sensory properties, and pathogen inhibition, including L. monocytogenes ATCC 7644 and S. aureus ATCC 29213, of the ice cream samples with the LEO were investigated. It was determined that the melting rate of the ice creams with the LEO was lower (P<0.05) and the overrun values were higher (P<0.05) than the control sample. The highest L* and a* values were determined in the control samples and the sample with 0.1% LEO, respectively. While C* value of the sample with 0.02% LEO was higher than the other samples (P<0.05), the highest white index (WI) value was determined in the control and the sample with 0.01% LEO. The sample containing 0.01% LEO had the highest viscosity values at 20 and 50 rpm. It was determined that there was no statistically significant difference in the consistency coefficients of the samples (P>0.05) and all samples had pseudolplastic flow. The control sample had the highest sensory score, followed by the sample with 0.02% LEO. It was determined that the LEO addition only had a decreasing effect on the count of S. aureus ATCC 29213.
AtıfWoS2OpenAlex5İncele - Editöre MektupAçık Erişim2024Scopus SJRQ3Response to Evaluation of the injuries in earthquake victims with computed tomography
Tonkaz, Gokhan; Sengul, Demet; Bekci, Tumay; Sengul, Ilker; Cakir, Ismet Mirac; Cinar, Esma; Tonkaz, Duygu Erkal; Kesicioglu, Tugrul; Aksoy, Iskender; Aslan, Serdar
AtıfWoS1OpenAlex1
İncele - BildiriAçık Erişim2024Cross-view Gait Recognition Based on Fine-Tuned Deep Networks
Yaprak, Busranur; Gedikli, Eyup; Bingöl, Ozkan; Dogan, Ramazan Ozgur
Gait recognition is a biometrics-based computer vision process used to identify people based on their walking styles. Compared to other types of biometrics, gait offers a more advantageous recognition process as it does not require high-resolution and close-range images and obtains without contact. But besides this, gait biometrics is highly affected by cross-view variation, and under this variation recognition performance decreases significantly. In this study, performance evaluations of fine-tuned VGG-16 and ResNet-50 deep CNN networks on the cross-view gait recognition problem are performed. For this purpose, Gait energy images (GEI) and Silhouettes obtained from CASIA-B, the most comprehensive data set in gait recognition, are given as input to the networks. The experimental results showed that the VGG-16 network achieved higher recognition rates in cross-view gait recognition.
- MakaleAçık Erişim2024Investigation of the relationship between the buildings collapsed in February 6, 2023 Kahramanmaras earthquakes and the soil and analysis of the risk of collapse in earthquakes
Eraslan, Selim; Hatipoglu, Ilter Kutlu; Ocak, Fatih; Isik, Fatih; Zeybek, Halil Ibrahim
In this study, the building-ground relationship in the areas affected by the February 6 Kahramanmaras earthquakes was determined, and the risk of building collapse in future earthquakes was analyzed. Remote sensing techniques determined the collapsed building-soil relationship, and the frequency ratio method was applied by utilizing Geographic Information Systems techniques to assess the risk of collapse in earthquakes. According to the research results, 84% of the collapses occurred in flat areas. On the other hand, 49.7% of the collapses occurred in the 0-500 m elevation range. In particular, it was determined that 46% (110.8 km(2)) of the collapsed buildings occurred on alluvial land belonging to the Quaternary period. According to the earthquake frequency analysis of the total 108,812 km(2) area considered in this study, 43.72% of the area is at the Risky level, indicating that a large part of the region is at significant earthquake risk. Moreover, Hatay, Adana, Osmaniye, Sanliurfa, Kahramanmaras, and Malatya are the provinces where the risk of collapse of buildings in an earthquake is high. These results reveal the necessity of analyzing by considering many criteria in determining residential areas in provinces at risk of earthquakes.
AtıfWoS5OpenAlex8TR Dizin2
İncele - MakaleAçık Erişim2024AN EFFICIENT FAMILY OF RATIO TYPE ESTIMATORS FOR SIMPLE RANDOM SAMPLING
Yadav, Subhash Kumar; Arya, Diksha; Koc, Tuba; Zaman, Tolga
The study provides an enhanced estimation of the population mean using known information on an auxiliary variable. An enhanced class of estimators is suggested for the same. The proposed estimator's bias and mean squared error (MSE) are calculated up to the first order of approximation. The optimum values of the characterizing constants are obtained by minimizing the MSE of the proposed estimator. The minimum MSE and the bias values are achieved by optimising the characterizing scalar. The MSE of the proposed estimator has also been compared both conceptually and empirically with the MSEs of competing estimators. Real and simulated data sets are adopted to verify the theoretical prerequisites for the proposed estimator's greater efficiency over competing estimators. The most efficient estimator is recommended for practical utility in different areas of applications and the suggested estimator filfills the requirement.
AtıfWoS6İncele - MakaleAçık Erişim2024The Relation between Corruption and Tax Revenues: An Assessment of Transitional economies
Setürk, Nazli Keyifli; Bayraktar, Yuksel; Özyilmaz, Ayfer
Corruption affects many economic, political, and social indicators directly and indirectly. One of the economic costs of corruption is a decrease in tax revenues. In societies where corruption is high, administrators taking bribes for excess revenue may reduce tax administration performance. Therefore, corruption and taxes are closely related to each other. This study analyzes the impact of corruption on different tax types in 6 selected transition economies (Estonia, Czech Republic, Hungary, Poland, Latvia and Slovak Republic) in the 1998-2021 and Bootstrap Panel Granger causality method. According to this study, there is unidirectional causality from personal income tax to corruption in Slovakia, from corporate tax and VAT to corruption in Poland, from VAT and SCT to corruption in Hungary, and from VAT to corruption in Latvia. Additionally, there is a bidirectional causal relationship from corruption to personal income tax in Poland and from corruption to corporate tax in the Czech Republic and Hungary, but there is no causal relationship between corruption and VAT and SCT. Personal income and corporate taxes, which require a strong relationship between tax administration and taxpayers, are more affected by corruption than taxes such as VAT and SCT.
AtıfOpenAlex2İncele - Derleme MakaleYalnız künye2024Authentic Leadership: A Systematic Review and Research Agenda
Polat, Eray; Arici, Hasan Evrim; Arasli, Huseyin
There has been a growing interest in authentic leadership as a distinctive style of leadership and a dynamic research topic. In this direction, the aim of this study is multifaceted. First, we focus on providing a comprehensive overview of research on authentic leadership (AL), which has attracted substantial research interest in the last few years. Second, we outline the theoretical and nomological network of AL, highlighting antecedents, outcomes, moderators, and mediators. Third, we offer an elaborated future research agenda to enable advances in theory and empirics. We systematically reviewed 182 articles issued in the business management and psychology literature between 2005 and 2021. Interest in AL is growing, and 2020 is the golden year. Developed countries dominate the field. After a rigorous review, we offer a future research agenda with four key themes. The study highlights that AL is critical to the emergence and growth of valuable behaviours, attitudes, and performance at individual, team, and organisational levels. The study provides new research ideas and further conceptualization of AL. We also provide a comprehensive review of why managers should continue to practice AL, where the literature has been, and where it may be headed in the future.
AtıfWoS7TR Dizin1İncele - MakaleAçık Erişim2024The correlation between individuals' attitudes toward cancer screening, cancer information overload, and healthy life awareness: a cross-sectional study
Dogan, Melike Demir; Kurt, Seda; Ertin, Berkay
AimsThis study was conducted to determine the correlation between individuals' attitudes toward cancer screenings, cancer information overload, and healthy life awareness.MethodsIn this cross-sectional study, data were collected from 343 people through face-to-face interviews using the socio-demographic characteristics form, attitude scale for cancer screenings, cancer information overload scale, and healthy life awareness scale.ResultsThe mean age of the participants was 47.79 +/- 11.65 and 61.8% of them were women. Older participants had lower positive attitudes toward cancer screenings and healthy life awareness. Higher education level participants displayed more positive attitudes toward cancer screenings. The higher the level of education and income, the higher the cancer information overload. When their cancer information overload increased, their positive attitudes toward cancer screenings and their healthy life awareness, in turn, decreased. As their healthy life awareness increased, they displayed more positive attitudes toward cancer screening, as well. As the participants' awareness in change, socialization, responsibility, and nutrition subscales of healthy life awareness scale increased, they had more positive attitudes toward cancer screenings.ConclusionConsequently, it was determined that the participants had a high level of positive attitudes toward cancer screenings, a moderate level of cancer information overload, and a high level of healthy life awareness.
AtıfWoS7OpenAlex9İncele - EditoryalYalnız künye2024Scopus SJRQ3A rare cause of acute abdominal pain: Perforation of a hepatic hydatid cyst into the peritoneum
Tonkaz, Gokhan; Akdeniz, Cemre; Tonkaz, Mehmet; Tonkaz, Duygu Erkal; Aslan, Serdar
- EditoryalYalnız künye2024Scopus SJRQ2A rare case of intraosseous calcaneal lipoma with calcific and cystic components
Tonkaz, Gokhan; Akdeniz, Cemre; Tonkaz, Mehmet; Tonkaz, Duygu Erkal; Bekci, Tumay
AtıfWoS1OpenAlex1İncele - EditoryalAçık Erişim2024Scopus SJRQ3A rare case: cerebral air embolism causing stroke after lung cancer ablation
Tonkaz, Mehmet; Tonkaz, Duygu Erkal; Tonkaz, Gokhan
- MakaleYalnız künye2024Scopus SJRQ3Efficacy of fat quantification methods used in MRI to distinguish between normal, benign, and malignant bone marrow pathologies in children
Tonkaz, Duygu Erkal; Ozpar, Rifat; Tonkaz, Mehmet; Yazici, Zeynep
Background Fat quantification methods in magnetic resonance imaging (MRI) have been studied to differentiate bone marrow pathologies in adult patients; however, scarce literature is available in pediatric patients.Purpose To evaluate the efficacy of the T1 signal intensity value (T1-SIV), out-of-phase/in-phase signal ratio (OP/IP SR), and fat fraction (FF) to differentiate between normal, benign, and malignant pathological processes.Material and Methods A total of 48 pediatric patients with lumbar and pelvic MRI were classified into three groups according to bone marrow pathology (group 1, normal; group 2, benign pathology/reconversion; group 3, malignant). The efficacy of T1-SIV, OP/IP SR, and FF values in differentiating these pathologies was evaluated using Kruskal-Wallis or analysis of variance and followed by Bonferroni or Dunn-Bonferroni tests. Cutoff values for malignant infiltration were defined using ROC analysis.Results Although these values were significantly different in all three groups (P = 0.001-0.008), this difference was not sufficient to discriminate between all groups. Subgroup analyses showed significant differences in T1-SIV between groups 1-3, in OP/IP SR between groups 1-3, 2-3, and 1-2, in FF between groups 1-2 and 1-3 in various regions (P = 0.001-0.049). Cutoff values had a sensitivity and specificity of 90%-100% for OP/IP SR and FF.Conclusion T1-SIV, OP/IP SR, and FF may potentially distinguish normal from pathological bone marrow. OP/IP SR and FF values detected malignant infiltration with high sensitivity and specificity in this study. However, only OP/IP SR may significantly differentiate benign and malignant bone marrow pathologies which needs to be confirmed in the future study with a larger patient population.
AtıfWoS3OpenAlex4İncele - EditoryalYalnız künye2024Scopus SJRQ2A rare lesion of the clivus: Neuroenteric cyst
Tonkaz, Gokhankhan; Kaya, Abdulkadir; Tonkaz, Mehmet; Tonkaz, Duygu Erkal
- MakaleAçık Erişim2024Glass Ceiling Syndrome: A Perspective of Women Working In Health Institutions
Turan Kurtaran, Ayten; Aydin, Arzu; Yesildag, Ahmet Y.
Background and Purpose: Although women constitute the majority of the workforce in the healthcare sector, the number of representations in management positions needs to be increased. This study aimed to determine female health workers' glass ceiling syndrome perception levels and examine socio-demographic variables' effect on this level. Design/methodology/approach: The research sample consists of 708 female healthcare professionals who work in six public hospitals. Perceptions were measured using the 42-item Glass Ceiling Perception scale. Measurements were made on a 5-point Likert scale ranging from 0 to 4. Findings: It was found that the glass ceiling syndrome perception levels of female healthcare professionals were neutral (1.94). It has been determined that female healthcare professionals with a high level of education, doctors and nurses, those between the ages of 26-35, those who work in medical units, and those with a child have higher perception levels of glass ceiling syndrome.
AtıfWoS4OpenAlex5TR Dizin1İncele - MakaleYalnız künye2024Scopus SJRQ4A New Marker Evaluating the Risk of Ischemic Bowel in Incarcerated Hernia: Immature Granulocytes
Senlikci, Abdullah; Kosmaz, Koray; Durhan, Abdullah; Suner, Mert Orhan; Bezirci, Rifat; Mercan, Umit; Suleyman, Marlen
To evaluate the predictive value of immature granulocytes in intestinal necrosis in incarcerated hernia. The study included patients who were operated on due to incarcerated hernia. The cases were separated into 2 groups as those with or without bowel resection. Age, gender, hernia type, side, white blood cell count, neutrophil count, neutrophil-lymphocyte ratio, red cell distribution width count, immature granulocyte count, platelet count, and platelet lymphocyte ratio were statistically compared between the groups. There were 27 cases (17.3%) in the group with bowel resection and 127 cases (82.7%) in the group without bowel resection. A statistically significant difference was determined between the groups in respect of the hernia type, white blood cell count, neutrophil count, neutrophil-lymphocyte ratio and immature granulocyte count (p<0.05). The cut-off value of the immature granulocyte count was found to be 0.065, with sensitivity of 63% and specificity of 80%. In multivariate analysis, age over 65 years and immature granulocyte count>0.065 were found to be independent predictors of necrosis development. The immature granulocyte value is a fast, easily accessible and reliable marker that can be used to predict intestinal necrosis in cases of incarcerated hernia.
AtıfWoS5OpenAlex4İncele - MakaleAçık Erişim2024THE CAUSALITY RELATIONSHIP BETWEEN CREDIT DEFAULT SWAPS (CDS) AND PORTFOLIO INVESTMENTS: THE CASE OF TÜRKİYE
Küçükosman, Asiye; Uzun, Sumeyye
This study examines the causality relationship between portfolio investments and credit default swaps (CDS) in T & uuml;rkiye. Analysing the dynamics between portfolio investments and CDS premiums, two important variables for financial markets is critical to understanding how risk perception and investment decisions are affected. While portfolio investments are generally considered an indicator of the confidence of foreign investors in the country's economy, CDS premiums are an important risk measure that reflects the country's debt risk and the risk perception of market participants. In this context, examining the relationships between the two variables contributes to the understanding of the effects of investor behavior and risk perception on macroeconomic indicators in financial markets. In the study, the Granger causality test was applied using data from the period 2014Q1-2024Q1. The results obtained show that CDS premiums have a significant and unidirectional causal effect on portfolio investments. Increases in CDS premiums increase investors' risk perception and lead to a decrease in portfolio investments. On the other hand, no causal effect of portfolio investments on CDS premiums was found. These findings emphasize the importance of risk management in terms of portfolio investments in T & uuml;rkiye and reveal that CDS premiums play a role in investor decisions.
AtıfWoS1OpenAlex4TR Dizin2İncele - BildiriAçık Erişim2024A Study on the Segmentation and Classification of Diabetic Retinopathy Images Using the K-Means Clustering Method
Incir, Ramazan; Bozkurt, Ferhat
Diabetic Retinopathy (DR) is a retinal disease caused by diabetes, representing one of the most prevalent causes of vision loss affecting millions of people worldwide. Swift detection and treatment of this condition are crucial for preventing the disease. Various deep learning and machine learning algorithms have been employed for disease detection and classification, often overlooking the data preprocessing stage. In the data preprocessing phase of this study, segmentation of important lesions, such as hard exudates, was conducted using the K-Means clustering method. The identified lesions were highlighted on the original images. The resulting dataset was then classified using pre-trained architectures, namely EfficientNetV2-M, ResNet50, MobileNet, and DenseNet121. After training on the APTOS dataset, the EfficientNetV2-M model achieved an accuracy of 95.16%. The classification results indicated the contribution of the lesion highlighting process during data preprocessing to the overall classification accuracy.
AtıfWoS1OpenAlex3İncele - MakaleYalnız künye2024Scopus SJRQ4Investigation of Corrosion Properties of LA-91 Alloy Coated with MAO Method
Sukuroglu, Suleyman; Totik, Yasar; Sukuroglu, Ebru Emine; Avci, Selcuk
LA91 magnesium alloy is a super lightweight magnesium -lithium alloy proposed for next generation materials. In addition to the advantages of these alloys such as low density, high strength-to -weight ratio, specific stiffness and brittleness, these alloys also have disadvantages such as low corrosion resistance and the oxide -carbonate film formed on the surfaces of the alloys cannot provide sufficient corrosion protection even in non-corrosive environments. In this study, micro arc oxidation, one of the coating methods, was applied to LA91 alloy. The surface morphologies of the coatings were characterized and it was aimed to increase the corrosion resistance of LA91 alloy. For this purpose, potentiodynamic polarization tests were carried out in 3.5% NaCl solution at room temperature to draw attention to the protection of the coating. As a result of the tests, it was determined that the oxide coatings raised on the surface
AtıfWoS2İncele - MakaleAçık Erişim2024Individual Earthquake Preparedness of Residents in Istanbul: Social and Cognitive Determinants
Topal, Mehmet Hanefi; Simsek, Kubra; Baspinar, Adem
This study aims to identify the social and cognitive factors that influence individual-level earthquake preparedness among Istanbul residents by using an extended model that incorporates earthquake risk perception within the framework of social cognitive theory (SCT). A survey of 411 participants was conducted, and data analysis was performed using structural equation modeling (SEM). The findings strongly support the SCT assertions, revealing that social factors (such as social trust and subjective norms) and cognitive factors (including outcome expectations and self-efficacy) are key predictors of earthquake risk perception. However, earthquake preparedness behavior was found to be more closely associated with cognitive factors, particularly self-efficacy and risk perception, with subjective norms being the only social factor influencing preparedness behavior. These results that policymakers and practitioners should focus on disaster education, awareness, and participation to promote individual preparedness and mitigate disaster risk.
AtıfWoS6OpenAlex6İncele