Sürdürülebilir Kalkınma Amaçları
Yazarlar
- Uzun, Sevda(87)
- Merdan, Mehmet(70)
- Duran, Celal(56)
- Baltaci, Cemalettin(52)
- Kulakaç, Nurşen(51)
- Ozdes, Duygu(51)
- Kaygusuz, Abdullah(47)
- Öztürk, Serkan(42)
- Demir, Selim(40)
- Karsli, Orhan(37)
- Turan, Ibrahim(37)
- Dokuz, Abdurrahman(36)
- Gücer, Mehmet Ali(36)
- Sipahi, Ferkan(36)
- Araz, Onur(35)
- Kandemir, Raif(31)
- Vural, Alaaddin(31)
- Topal, Fevzi(30)
- Kurt, Kemal(29)
- Ürkek, Bayram(29)
- Maden, Nafiz(28)
- Acet, Tuba(27)
- Alemdag, Selcuk(26)
- Arslan, Mehmet(26)
- Ayaydin, Hasan(26)
- Akaryali, Enver(25)
- Aydin, Faruk(25)
- Baltacı, Cemalettin(25)
- Yücel, Cem(25)
- Akar, Zeynep(24)
- Barut, Abdulkadir(24)
- Ozturk, Samet(24)
- Pala, Fahrettin(24)
- Peker, Iskender(24)
- Topal, Meryem(24)
- Yildiz, Salih(24)
- Öz, Mehmet(24)
- Aliyazicioglu, Yuksel(23)
- Bostan, Sedat(23)
- Kankal, Murat(23)
Yayınlar
- MakaleAçık Erişim2023Scopus SJRQ2Sustainable water consumption and water-saving behaviours: A review of consumers' environmental and economic concerns in Turkey
Avci, İbrahim
Water, which plays an important role in human life, has been depleted as a result of changing consumption patterns, climate change and increasing population, and water scarcity has emerged as one of the most pressing issues facing the world in the coming years. One solution to this problem is to make more efficient and sustainable use of existing water resources. In this context, the study aims to investigate the effects of consumers' environmental and economic concerns on sustainable water consumption behaviour, as well as the mediating role of water-saving behaviour in these effects. For this purpose, it was discovered that environmental and economic concerns have positive effects on sustainable water consumption behaviour as a result of an analysis of data collected from 591 consumers in Turkey via the online survey method; it was determined that environmental concerns have no effect on water-saving behaviour, whereas economic concerns have a positive effect on water-saving behaviour. According to the findings of the mediation analysis, water-saving behaviour only serves to mediate the effect of economic concerns on sustainable water consumption behaviour.
AtıfScopus8WoS8OpenAlex14
İncele - MakaleAçık Erişim2023FROM TRADITION TO MAINSTREAM: UNDERSTANDING THE INTEGRATION OF ISLAMIC LAW IN VARIOUS GLOBAL SETTINGS
Karimullah, Suud Sarim
The study highlights the importance of integrating Islamic law in global legal settings, enriching the legal framework, and promoting interreligious dialogue. This is an important area that needs to be understood and taken seriously in the context of ongoing world changes. The study used a qualitative approach to analyze academic literature, legal documents, and related research reports from various sources. The research findings identify several significant examples of integration of Islamic law in different global settings, including Muslim and non-Muslim majority countries. The integration of Islamic law in a worldwide legal environment offers meaningful potential. First, values such as social justice, balance, and common good in Islamic law can provide a different and complementary perspective to the principles of secular law. This impacts more inclusive and fair policies for the Muslim community. Second, the integration of Islamic law can better facilitate interreligious dialogue. Non-Muslim communities' more profound understanding of Islamic law may open the way for constructive dialogue, mutual understanding, and cooperation in addressing global legal issues. This has the potential to reduce tensions and increase interreligious tolerance. However, challenges and controversies are also part of integrating Islamic law. Recognition of the validity and relevance of Islamic law in more comprehensive legal settings is still doubted by some. At the same time, differences in interpretation and implementation can lead to tensions in diverse societies.
AtıfScopus13OpenAlex6İncele - MakaleAçık Erişim2023Effect of denoising methods for hyperspectral images classification: DnCNN, NGM, CSF, BM3D and Wiener
Günen, Mehmet Akif; Besdok, Erkan
Hyperspectral images are widely used for land use/cover analysis in remote sensing due to their rich spectral information. However, these data often suffer from noise caused by various factors such as random and systematic errors, making them less useful for end-users. In this study, denoising methods (i.e., DnCNN, NGM, CSF, BM3D, and Wiener) for hyperspectral images were compared using the Pavia University hyperspectral dataset with four different noise types: Gaussian, Salt & Pepper, Poisson, and Speckle. After denoising, the k-nearest neighbor method was used to classify the image, and statistical and visual performance comparisons were performed on the classified data. Six performance metrics-Accuracy, Sensitivity, Specificity, Precision, F-Score, and G-Mean-were employed to compare the outcomes qualitatively. The findings demonstrate that DnCNN and BM3D have the best outcome performance for all four noise types. Due to their lack of sensitivity and specificity, the CSF and Wiener approaches had low performance for particular noise sources. For all noise types, the NGM approach had the worst results. The validated instruments not provide effective results when it came to denoising Salt & Pepper noise, but they managed to produce outstanding results when it came to denoising Poisson noise. In order to enhance the quality and usability of hyperspectral images for land use/cover analysis, this study emphasizes the significance of choosing an effective denoising technique.
AtıfScopus5OpenAlex5İncele - MakaleAçık Erişim2023Scopus SJRQ2Green synthesis of fluorescent carbon dots from Robinia hispida L. leaves for selective detection of Hg (II)
Başoğlu, Aysel
In this study, Robinia hispida L leaves (RH) was used as a precursor for the first time to synthesize fluorescent carbon dots (CDs) with stable blue fluorescence by a single-step hydrothermal synthesis method. Notably, the innovative approach eliminates the necessity for toxic chemicals or hazardous substances, marking a significant advancement in the field. The synthesized CDs demonstrate CDs demonstrates the predominance of spherical shapes with an average size of 11.63 ± 1.92 nm. The CDs not only exhibit an enhanced fluorescent efficiency with a relatively high quantum yield of up to 6.8%, but they also possess the potential for direct utilization in the selective determination of Hg(II) through fluorescence quenching, even without any functionalization. Under the optimized conditions at a pH of 7.0, a robust linear correlation was found to exist between the fluorescence intensity and the concentration of Hg (II) within the range of 5–17.5 μM, exhibiting a detection limit (3σ) of 1.5 μM. Additionally, this methodology was effectively employed to successfully detect Hg (II) ions in various aqueous samples, including tap water, spring water, drinking water, and a certified reference material (CRM-SA-C Sandy Soil C). The spike recoveries of 97.6%–101.6% with less than 2.7% variability were performed on all samples.
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İncele - MakaleAçık Erişim2023Scopus SJRQ2Enhanced Oxidative Stability and Bioaccessibility of Sour Cherry Kernel Byproducts Encapsulated by Complex Coacervates with Different Wall Matrixes by Spray- and Freeze-Drying
Altuntas, Umit; Altin-Yavuzarslan, Gokce; Ozçelik, Beraat
Sour cherry (Prunus cerasus L.) seeds are obtained as byproducts of the processing of sour cherries into processed foods. Sour cherry kernel oil (SCKO) contains n-3 PUFAs, which may provide an alternative to marine food products. In this study, SCKO was encapsulated by complex coacervates, and the characterization and in vitro bioaccessibility of encapsulated SCKO were investigated. Complex coacervates were prepared by whey protein concentrate (WPC) in combination with two different wall materials, maltodextrin (MD) and trehalose (TH). Gum Arabic (GA) was added to the final coacervate formulations to maintain droplet stability in the liquid phase. The oxidative stability of encapsulated SCKO was improved by drying on complex coacervate dispersions via freeze-drying and spray-drying. The optimum encapsulation efficiency (EE) was obtained for the sample 1% SCKO encapsulated with 3:1 MD/WPC ratio, followed by the 3:1 TH/WPC mixture containing 2% oil, while the sample with 4:1 TH/WPC containing 2% oil had the lowest EE. In comparison with freeze-dried coacervates containing 1% SCKO, spray-dried ones demonstrated higher EE and improved oxidative stability. It was also shown that TH could be a good alternative to MD when preparing complex coacervates with polysaccharide/protein networks.
AtıfScopus9WoS8OpenAlex10İncele - MakaleAçık Erişim2023Scopus SJRQ1Transfer Learning Approach and Nucleus Segmentation with MedCLNet Colon Cancer Database
Reis, Hatice Catal; Turk, Veysel
Machine learning has been recently used especially in the medical field. In the diagnosis of serious diseases such as cancer, deep learning techniques can be used to reduce the workload of experts and to produce quick solutions. The nuclei found in the histopathology dataset are an essential parameter in disease detection. The nucleus segmentation was performed using the colorectal histology MNIST dataset for nucleus detection in this study. The graph theory, PSO, watershed, and random walker algorithms were used for the segmentation process. In addition, we present the 10-class MedCLNet visual dataset consisting of the NCT-CRC-HE-100 K dataset, LC25000 dataset, and GlaS dataset that can be used in transfer learning studies from deep learning techniques. The study proposes a transfer learning technique using the MedCLNet database. Deep neural networks pre-trained with the proposed transfer learning method were used in the classification with the colorectal histology MNIST dataset in the experimental process. DenseNet201, DenseNet169, InceptionResNetV2, InceptionV3, ResNet152V2, ResNet101V2, and Xception deep learning algorithms were used in transfer learning and the classification studies. The proposed approach was analyzed before and after transfer learning with different methods (DenseNet169 + SVM, DenseNet169 + GRU). In the performance measurement, using the colorectal histology MNIST dataset, 94.29% accuracy was obtained in the DenseNet169 model, which was initiated with random weights in the multi-classification study, and 95.00% accuracy after transfer learning was applied. In comparison with the results obtained from empirical studies, it was demonstrated that the proposed method produced satisfactory outcomes. The application is expected to provide a secondary evaluation for physicians in colon cancer detection and the segmentation. Graphical Abstract: [Figure not available: see fulltext.].
AtıfScopus29WoS21OpenAlex37İncele - MakaleYalnız künye2023Scopus SJRQ4MODELING DISEASE TRANSMISSION DYNAMICS WITH RANDOM DATA AND HEAVY TAILED RANDOM EFFECTS: THE ZIKA CASE
Bekiryazici, Z.; Kesemen, T.; Merdan, M.; Khaniyev, T.
In this study, we investigate a compartmental model of Zika Virus transmission under random effects. Random effects enable the analysis of random numerical characteristics of transmission, which cannot be modeled through deterministic equations. Data obtained from Zika studies in the literature are used along with heavy tailed random effects to obtain new random variables for the parameters of the deterministic model. Finally, simulations of the model are carried out to analyze the random dynamics of Zika Virus transmission. Deterministic results are compared with results from the simulations of the random system to underline the advantages of a random modeling approach. It is shown that the random model provides additional results for disease transmission dynamics such as results for standard deviation and coefficients of variation, making it a valuable alternative to deterministic modeling. Random results suggest around 90% - 120% coefficient of variation for the random model underlining the fact that the randomness should not be ignored for the transmission of this disease.
AtıfScopus2WoS2İncele - MakaleAçık Erişim2023Scopus SJRQ1Geographic distribution of two Montivipera taxa using ecological niche modeling
Kurnaz, Muammer
Ecological niche modeling predicts the potential distribution areas of species and contributes to measuring the niche differentiation among taxa. Montivipera albizona and M. bulgardaghica are two mountain viper taxa distributed in Anatolia. In the present study, the habitat suitability of M. albizona and M. bulgardaghica was assessed, and ecological niche ranges between these taxa were compared. According to species distribution models, while the distribution area of M. albizona covers a relatively large region in central Anatolia, M. bulgardaghica has a relatively narrow distribution over the eastern Taurus mountains. The species distributional results showed that the annual temperature range and mean temperature of the coldest quarter were the highest contributing variables, with 62.5% for M. albizona and 67.9% for M. bulgardaghica. Montiverpa albizona prefers 13 different habitat types, while M. bulgardaghica prefers 6 different habitat types in their distribution areas. Niche differentiation analysis revealed that there was no overlap between the two taxa in terms of their ecological niches.
AtıfScopus7WoS6OpenAlex6İncele - MakaleYalnız künye2023Scopus SJRQ1Calculation of radiation shielding parameters of YBa2Cu3O7 and Y3Ba5Cu8O18 superconductors for the energies from 122 to 1332 keV using EGS4 code
Kaya, Selim
This Study aims to evaluate the radiation shielding efficiency of YBa2Cu3O7 and Y3Ba5Cu8O18 superconducting ceramics. In the current study, the radiation shielding efficiency of YBa2Cu3O7 and Y3Ba5Cu8O18 superconducting ceramics were calculated using the EGS4 code and discussed experimentally and theoretically by comparing with XCOM data. The mass attenuation coefficients (μ/ρ) for YBa2Cu3O7 and Y3Ba5Cu8O18 superconductors and their contents was investigated theoretically (EGS4 and WinXcom) and experimentally at gamma-ray energies from 122 to 1332 keV. The theoretical values have been computed in the energy range from 1 keV to 100 MeV using WinXcom program. Then, using the mass attenuation coefficients, it was determined some shielding parameters such as mean free path (MFP), half value layer (HVL), effective atomic number (Zeff), radiation protection efficiency (RPE) and gamma–ray kerma coefficients ((kγ). It has been seen that the theoretical and the empirical results were in agreement. The data and findings from this study can guide further research and development of shielding materials for gamma-ray and neutron shielding applications.
AtıfScopus13WoS11OpenAlex13İncele - MakaleYalnız künye2023Scopus SJRQ2COVID-19 Vaccine Acceptance, Trust in Vaccine, Anxiety Levels, and Related Factors in Turkish Society
Aydln, Merve; Kulakaç, Nurşen; Uzun Şahin, Ceyda
Background: Vaccine acceptance and trust in vaccines pose a complex process affected by many factors. The present study was conducted to determine coronavirus disease 2019 (COVID-19) vaccine acceptance, trust in vaccines, anxiety levels, and related factors in Turkish society. Methods: The data of this cross-sectional and descriptive-correlational study were collected with the snowball method by using an online questionnaire throughout Turkey. The study was conducted between March 15 and April 3, 2021, with 3148 participants from 7 regions and 81 cities in Turkey. Results: It was found that the participants accepted the vaccine at 72.8%, and the trust rate in the vaccine was 66.0%. It was also found that women, single participants, those who had immune system diseases, and with COVID-19 had higher Coronavirus Anxiety Scale scores at significant levels. According to Logistic Regression Analysis, gender, age, trust in the vaccine, perception of risk levels regarding COVID-19, and coronavirus anxiety levels are factors affecting the intentions of participants to accept/reject the vaccine. It was determined that male participants were more likely to accept the coronavirus vaccine (P = 0.028). It was found that health-care employees had higher trust in the coronavirus vaccine (P = 0.006) and acceptance rates (P = 0.010) at significant levels compared with the general population. Conclusion: The COVID-19 vaccine acceptance rate in Turkish society was found to be high, and the level of trust in vaccines and anxiety levels were above the moderate level.
AtıfScopus1WoS1OpenAlex1İncele - MakaleYalnız künye2023Scopus SJRQ3Gyroscopic suspension for a heavy vehicle
Ünker, Faruk
In this study, an angular momentum generated by a flywheel gyroscope is performed as a suspension to prevent vehicle vibration. The frequency equations are derived and the optimal flywheel speed is obtained for vibration attenuation of the sprung mass. It is observed that the control moment gyroscope (CMG) keeps the sprung mass in the upright position with a small vibration amplitude of a steady motion. The flywheel speed (Ω) is in relation to the amplitude of gimbal motion and the frequency (ω) of the axle’s excitation. Besides, a simulation model of CAE software (RecurDyn) is built to validate the equations of motion.
AtıfScopus6WoS4İncele - MakaleYalnız künye2023Scopus SJRQ3The effect of the Y2O3 buffer layer on the microstructural and physical properties of melt-processed Y358 superconductor
Başoğlu, Mehmet; Çakir, Bakiye; Duman, Şeyda; Aydiner, Alev
The Y3Ba5Cu8O18 (Y358) superconductors were produced using the Melt-Powder-Melt-Growth (MPMG) method. In the crystal growth process, Y2O3 powder was used as a substrate in both powder and tablet form. The first sample was produced without using any buffer layer, the second sample was produced with a powdered Y2O3 buffer layer, and the third sample was produced with a tablet-form Y2O3 buffer layer. The effect of the Y2O3 substrate on the structural and physical properties of the Y358 superconductor samples was investigated. Superconducting phases were observed in all samples of Y358 through XRD measurements, confirming their presence. Samples fabricated using the powder and tablet forms of the Y2O3 substrate had a better microstructure than the sample fabricated without a Y2O3 substrate. The highest critical current density (J c) value was obtained at 77 K for the Y358 sample produced with a Y2O3 powder substrate, and the J c value was calculated as 1.2 × 104 A cm–2 according to the Bean model.
AtıfScopus1WoS1OpenAlex1İncele - MakaleAçık Erişim2023Scopus SJRQ3New epiphytic bryophyte communities from Turkey; [Nove zajednice epifitskih briofita iz Turske]
Alataş, Mevlüt; Erata, Hüseyin; Batan, Nevzat; Ezer, Tülay
The epiphytic bryophyte vegetation of the Kümbet Plateau (Dereli-Giresun) was investigated. A total of 40 relevés taken from tree trunks in different vegetation periods of the year 2019 were analysed using multivariate analysis methods such as detrended correspondence analysis (DECORANA) and two-way indicator species analysis (TWINSPAN), and the Braun-Blanquet method was also applied. As a result, Frullanio tamarisci-Neckeretum pumilae Alataş, Ezer, Batan & Erata ass. nov. and Frullanio tamarisci-Neckeretum pumilae-isothecietosum alopecuroidis Alataş, Ezer, Batan & Erata subass. nov. were described as new syntaxa from Turkey. In addition, Ulotetum crispae -sanionietosum uncinatae was recorded for the first time from Turkey, while Ulotetum crispae was recorded for the second time from Turkey. These syntaxa were analysed in terms of their ecological and floristic aspects.
AtıfScopus1WoS1OpenAlex1İncele - MakaleYalnız künye2023Scopus SJRQ1Investigation of used PCM-integrated into building exterior walls for energy savings and optimization of PCM melting temperatures
Terhan, Meryem; Ilgar, Gamze
In the study, the effects on the building's thermal energy performance of using two different phase change materials (PCMs) integrated into the exterior walls at various thicknesses and melting temperatures have been investigated. Four exterior wall types have been designed by changing the position of PCM integrated into the exterior wall for the purpose to decrease heating and cooling energy demand. For each wall type, three different thicknesses (layers) have been studied and energy savings that PCM provided by decreasing the heating and cooling energy demands have been calculated on a monthly and annual basis. According to the energy simulation analyses, the configuration provided the highest heating energy savings (21.32 %) on an annual basis is the three-layer BioPCM27 integrated exterior wall with a melting temperature of 21 °C. The monthly optimum melting temperatures of PCMs have been determined based on the charge and discharge processes of PCM integrated into the exterior walls by evaluating the results of hourly energy simulation analysis. The annual average optimum melting temperature varies between 18 and 19 °C, depending on the exterior wall and material types. The three-layer (3L) InfiniteRPCM21C configuration (Type 3) has the best thermal energy performance among all exterior wall types, with 24.45 % total energy savings in the cooling season and 14.76 % in the heating season.
AtıfScopus71WoS64OpenAlex73İncele - MakaleAçık Erişim2023Scopus SJRQ4Solutions of multiplicative linear differential equations via the multiplicative power series method
Yalcin, Numan; Dedeturk, Mutlu
In this study, fundamental concepts of multiplicative analysis is given. Also, definitions of multiplicative Taylor series (MTS), multiplicative Taylor polynomials (MTP), and multiplicative power series (MPS) are given. Solutions of higher-order multiplicative linear differential equations (MLDE) are investigated with the help of the MPS method. Applications of MPS method are done for first, second, and third-order multiplicative ordinary linear differential equations. Copyright 2021, Yıldız Technical University.
AtıfScopus5WoS5OpenAlex8İncele - MakaleYalnız künye2023Scopus SJRQ1Unpacking the power of user-generated videos in hospitality and tourism: a systematic literature review and future direction
Polat, Eray; Çelik, Fatih; Ibrahim, Blend; Köseoglu, Mehmet Ali
We review user-generated video (UGV)-research in hospitality and tourism (H&T), provide an overview of its current-state, and suggest ways forward. We adopted a systematic literature review methodology and reviewed 66 articles with TCM (theory/context/methodology) framework. UGV-research focuses on (i) destination image perception, (ii) short-form videos and travel live-streaming, (iii) behavioral intentions, and (iv) crisis management. Theoretical development is diverse, given the descriptive nature of research questions, but it is still in its infancy. The context varies by H&T setting, type of social media platform, population, and country. Research methods and techniques range from traditional analysis to advanced machine learning or artificial intelligence-based quantitative approaches, predominantly qualitative methods.
AtıfScopus61WoS43OpenAlex55İncele - MakaleYalnız künye2023Scopus SJRQ1A Proposed V2V Path Loss Model: Log-Ray
Kuzulugil, Kenan; Tugcu, Zeynep Hasirci; Cavdar, Ismail Hakki
Vehicle-to-vehicle (V2V) communication that has prominent involvement in the design of innovative communication solutions for the intelligent transportation system. Therefore, to develop V2V channel models, the knowledge of the propagation channel on which comprehensive research efforts have been carried is vital. In this study, we focused on the analysis and modeling of path loss characteristics for V2V communications and proposed a log-ray path loss model with the motivation of overcoming remarkable fitting errors between the two-ray model and measured data where the path loss exponent corresponds to different from 2. First, channel measurements were performed at 5.9 GHz with commercially available DSRC OBU devices for five different scenarios in typical highway and suburban environments in Gümüşhane, Turkey. Then, the large-scale characteristics of different propagation scenarios were analyzed and the proposed log-ray model performance was compared with commonly used log-distance and two-ray path loss models qualitatively and quantitatively. On the other hand, analysis of small-scale modeling and shadowing were also conducted for all scenarios and presented in the results. The findings clearly demonstrate that the proposed log-ray path loss model fits the measured data with a smaller RMSE value (2.54 dB) than the results of the log-distance (3.07 dB) and two-ray (3.72 dB) path loss models in the literature. In other words, the proposed model has approximately 17.5% and 32% increase in fitting performance according to the log-distance and the two-ray path loss models, respectively. The study results will be helpful for better performance analysis and system design of V2V communication.
AtıfScopus13WoS11OpenAlex12İncele - MakaleYalnız künye2023Scopus SJRQ1Effect of foundation embedment ratio in suppressing seismic-induced vibrations using optimum tuned mass damper
Araz, Onur; Cakir, Tufan; Ozturk, Kasif Furkan; Kaya, Dilek
Tuned mass damper (TMD), which is used in structures to mitigate the dynamic responses caused by environmental loads, is tuned according to the dominant frequency of the structures. The dominant frequency of structure built on soil with low stiffness is significantly affected by the soil-structure interaction (SSI). In previous studies, only the surface foundation case is considered to investigate the design parameters of TMD considering SSI effects and the embedment depth of the foundation is neglected in these studies. Thus, this paper investigates the optimization of TMD for mitigation of responses of a high-rise building considering various depths of embedment and soil properties. The optimum parameters of TMD are investigated using five different optimization algorithms (i.e., simulated annealing, sequential quadratic programming, genetic algorithm, pattern search, and particle swarm optimization). The objective function minimizes the peak acceleration amplitude at the top of the structure. The effectiveness of optimum TMD is verified to use 20 near-fault pulse-like ground motions. The comparisons show that the embedment ratio of the foundation and the soil properties significantly affect the optimization of TMD.
AtıfScopus28WoS26OpenAlex27İncele - MakaleAçık Erişim2023Financial Wellbeing during Covid-19 Pandemic: Concerns about Medical Costs; [Covid-19 Salgını Sırasında Finansal Refah: Tıbbi Maliyetlerle İlgili Endişeler]
Kocağ, Esra Karapinar
Financial wellbeing which represents a great concern for individuals regardless of their social status or their current employment situation constitutes an important element of overall individual wellbeing. Within a broader structure of financial wellbeing, concerns about medical costs have gained a vital importance particularly following the pandemic. Identifying what factors influence this growing concern is critical to tackle with the problem and improve individual wellbeing. Hence, this study is expected to shed light on such an important individual and national concern. To that end, this paper utilizes Global Financial Inclusion Database which is based on national representative surveys of about 128,000 adults across more than 120 countries. Empirical analysis in which ordered probit model was applied aims to investigate if there exists an association between financial concerns about medical costs and COVID-19. Findings of the empirical investigation reveal that being in the group of those who are very worried about financial hardship due to Covid-19 outbreak increases the probability of reporting being very worried about medical cost payments by about 34.5 percentage points. Therefore, it is seen that pandemic detrimentally related to individuals’ increased concerns over medical costs. These findings are expected to guide policy makers on the management of healthcare system and measures to improve individual wellbeing.
AtıfOpenAlex1İncele - MakaleAçık Erişim2023Scopus SJRQ1On the solutions of fractional random ordinary differential equations with the Residual power series method
Merdan, Mehmet; Atasoy, Nihal
In this study, random ordinary differential equations obtained by randomly choosing the coefficients or initial conditions of the ordinary differential equations will be analyzed by the Residual Power Series Method. The initial conditions or coefficients of the equations will be converted to random variables with Normal, Gamma and exponential distribution. Probability characteristics such as expected value, variance and confidence interval of the obtained random ordinary differential equations will be calculated. Obtained results will be drawn with the help of MATLAB (2013a) package program and random results will be interpreted.
AtıfScopus3WoS2İncele