Sürdürülebilir Kalkınma Amaçları
Yazarlar
- Uzun, Sevda(62)
- Merdan, Mehmet(58)
- Duran, Celal(50)
- Ozdes, Duygu(47)
- Kaygusuz, Abdullah(43)
- Ashyralyyev, Charyyar(38)
- Karsli, Orhan(33)
- Öztürk, Serkan(32)
- Araz, Onur(31)
- Demir, Selim(29)
- Kulakaç, Nurşen(29)
- Dokuz, Abdurrahman(28)
- Arslan, Mehmet(27)
- Baltacı, Cemalettin(27)
- Maden, Nafiz(27)
- Sipahi, Ferkan(27)
- Topal, Fevzi(27)
- Turan, Ibrahim(27)
- Kandemir, Raif(25)
- Kurt, Kemal(24)
- Ozturk, Samet(24)
- Peker, Iskender(24)
- Vural, Alaaddin(24)
- Reis, Hatice Catal(23)
- Yücel, Cem(23)
- Aydin, Faruk(22)
- Baltaci, Cemalettin(22)
- Gücer, Mehmet Ali(22)
- Günen, Mehmet Akif(22)
- Kankal, Murat(22)
- Topal, Meryem(22)
- Karimullah, Suud Sarim(21)
- Uysal, Ibrahim(20)
- Kurnaz, Muammer(19)
- Tuncer, Metin(19)
- Yolcu, Halil(19)
- Çelik, Necati(19)
- Ürkek, Bayram(19)
- Şan, Murat(19)
- Aliyazicioglu, Yuksel(18)
Yayınlar
- MakaleAçık Erişim2024Scopus SJRQ1Psychosocial dimensions of being a child in women’s shelters: A phenomenological study on the experiences of battered women – A case study from Türkiye’s Northern Region
Uzun, Sevda; Emirza, Elif Güzide
Background: Violence against women has numerous devastating effects. Exposure to violence not only impacts women but also affects their children both physically and psychosocially. Aims: The study aimed to evaluate the psychosocial problems of children living with their mothers in women’s shelters from the mothers’ perspective with a phenomenological approach. Methods: Utilizing the phenomenological research method, semi-structured in-depth interviews were conducted with 14 individuals in a women’s shelter in a province in northern Türkiye. The criterion sampling method, a purposive sampling technique, was employed to select participants. Interviews continued until data saturation was achieved. All interviews were audio recorded and then transcribed, and thematic analysis was applied to analyze the data. The study adhered to the COREQ checklist for reporting. Results: The data analysis revealed four main categories (effects of violence on the mother, actions taken to protect children from violence, effects of violence and staying in a shelter on the child, and psychosocial needs for the protection of the child’s mental health in the shelter) and 10 sub-themes (psychological effects, physical effects, social effects, domestic actions, organizational actions, psychological effects, physical effects, social effects, support system, and coping). Conclusion: The study concluded that violence significantly impacted the mental, physical, and social well-being of both women and children, posing challenges to their ability to cope with the aftermath. Women exerted considerable effort in protecting their children from violence, and they needed psychosocial support to ensure the well-being of their children’s mental health during their stay in shelters.
AtıfScopus1WoS1OpenAlex2
İncele - MakaleAçık Erişim2024Scopus SJRQ1Uncovering the determinants of bottom-up CO2 emissions among households in Türkiye: Analysis and policy recommendations
Coruh, Emine; Bilgic, Abdulbaki; Cengiz, Vedat; Urak, Faruk
Amid escalating global concerns surrounding climate change, the transportation sector has garnered the attention of stakeholders. Double-hurdle censored models were employed in this study to elucidate the relationship between the probability of private fuel expenditure and expenditure levels and household characteristics to determine the factors contributing to household-based CO2 emissions. Remarkably, nearly two-thirds of the 38 factors examined contributed to the emitters, and almost all emitters were identified as statistically significant. This alarming situation underscores the importance of formulating family based green transformation policies. If successful, these policies can ignite transformative momentum. Consequently, understanding household transportation expenditure from a bottom-up perspective can provide invaluable insights into crafting a comprehensive set of top-line policy recommendations for innovation and marketing strategies in the transport and energy sectors. Measures such as incentivizing the adoption of electric vehicles through economic incentives, expanding public transportation networks, and implementing sustainable housing policies have immense potential to effectively reduce private fuel expenditure. When implemented holistically, these strategies can pave the way for a more sustainable and environmentally friendly future.
AtıfScopus9WoS8OpenAlex11İncele - MakaleAçık Erişim2024Determination of Antioxidant Capacities of Extracts of Sorbus subfusca (ledeb. ex. nordm.) boiss
Kocabaş, Selahattin; Topal, Fevzi
Sorbus subfusca (ledeb. ex. nordm.) boiss. (Sorbus subfusca) belongs to the Rosacese family. It is commonly referred to as highland rowan. It is an endemic species found only in the eastern Black Sea Region of Turkey and in a few countries on the Asian Continent. Both water (WESS) and ethyl alcohol (EESS) lyophilized forms were used as extracts. Different reducing capacity methods and radical scavenging activity methods were used to study the antioxidant activities of the extracts. Total phenolic compounds were calculated as 43.5 (WESS) and 43.0 (EESS) µg GAE/mg extract. This value is an indication that it can take place in plants with high phenolic content. Peroxidation inhibition percentages of linoleic acid emulsion at 20 µg mL-1 concentration for WESS and EESS; WESS was calculated as 70.93% and EESS as 82.63%. The high antioxidant capacity of Sorbus subfusca, an endemic species, brings up the preference of natural products as antioxidants. It is thought that these studies will draw a new path to the literature, especially alternative medicine and pharmacological studies.
AtıfScopus1OpenAlex2TR Dizin1
İncele - MakaleYalnız künye2024Scopus SJRQ1Remote sensing and monitoring of water resources: A comparative study of different indices and thresholding methods
Günen, Mehmet Akif; Atasever, Umit Haluk
Water resources are essential for the ecological system and the development of civilization. Water is imperative factor for health preservation and sustaining various human activities, including industrial production, agriculture, and daily life. Remote sensing provides a cost-effective and practical means to detect and monitor water bodies, offers valuable insights into the impact of climatic events on water structures, especially in coastal lake regions. The research primarily utilizes Landsat-9 OLI-2 satellite images to evaluate the effectiveness of various water indices (WRI, NWI, MNDWI, NDWI) in combination with global automatic thresholding methods (K-Means, Zhenzhou's, Adaptive, Intermodes, Prewitt and Mendelsohn's Minimum, Maximum Entropy, Median, Concavity, Percentile, Intermeans, Kittler and Illingworth's Minimum Error, Tsai's Moments, Otsu's, Huang's fuzzy, Triangle, Mean, IsoData, Li's). The study was carried out on Lake Nazik, Lake Iznik, and Lake Beyşehir, which have unique geographical characteristics, and examined the adaptability and robustness of the selected indices and thresholding methods. MNDWI consistently stands out as a robust index for water extraction, delivering accurate results across different thresholding methods in regions all three lakes. As a result of quite extensive analysis, it is obtained that MNDWI and NDWI are reliable choices for water feature extraction in various lake environments, but the specific index should consider the thresholding method and unique lake characteristics. The Minimum thresholding method stands out as the most effective thresholding technique, demonstrating impressive results across different lakes. Specifically, it achieved an average Peak Signal-to-Noise Ratio (PSNR) of 78.97 and Structural Similarity Index (SSIM) of 99.37 for Lake Nazik, 74.08 PSNR and 98.34 SSIM for Lake Iznik, and 63.96 PSNR and 93.61 SSIM for Lake Beyşehir.
AtıfScopus56WoS46OpenAlex52İncele - MakaleAçık Erişim2024Scopus SJRQ1Experiences of Turkish mothers of children with autism: a phenomenological study
Aktaş, Eda; Ustuner Top, Fadime; Uzun, Sevda
The study aimed to explore mothers’ experiences of children with autism using a phenomenological approach. Semi-structured, in-depth interviews were conducted with 18 parents with children attending a special education centre in a northern province of Turkey. Criterion sampling, a form of purposive sampling, was employed to select participants. Interviews continued until data saturation was achieved. All interviews were audio-recorded and transcribed verbatim. Thematic analysis was utilized to analyze the data, and the study adhered to the COREQ checklist for reporting qualitative research. As a result of analyses, three main themes (the process of diagnosis, the effect of the child’s illness on parents and their challenges over time, and considerations regarding the child’s educational journey) and eight sub-themes (feelings and thoughts, reflections on the causes, reactions encountered, emotional effects, social effects, physical effects, perception of social support, and expectations from the educator and the education process) emerged. The study concluded that mothers of children with autism are emotionally, physically, and socially impacted by their child’s condition, facing considerable challenges in coping. In light of these findings, it is recommended that policymakers in our country develop plans that address the difficulties expressed by participants, review and potentially enhance financial and social support for families, and consider increasing special education hours.
AtıfScopus5WoS5OpenAlex5İncele - MakaleAçık Erişim2024Scopus SJRQ1Evaluation of turbulence models for the prediction of flow properties in vegetated channels
Sibil (Şibil), Rahim
The performance of turbulence models was investigated to predict the flow and turbulence features of the vegetated channel using computational fluid dynamics (CFD). The Ansys Fluent, CFD software was implemented for the numerical studies. The flow was three-dimensional, incompressible, steady, and turbulent. Ten turbulence models, provided by Ansys Fluent, were implemented for the comparative study. The numerical model was validated against an experimental study conducted in the literature. The numerical studies show that the Renormalization group k-ϵ model is the most successful model for predicting the flow characteristics of the vegetated channel with a Root Mean Square Error (RMSE) value of 0.2752. At the same time, the Reynolds Stress Model gives the least successful predictive performance, indicated by an RMSE value of 0.4302. Moreover, the Spalart-Allmaras (S-A) model offers the shortest computation time with a value of 6652.393 s, whereas the Shear Stress Transport k-ω model proves to be the most time-consuming with a value of 11 952.219 s. The velocity of water flow in a channel is not uniform as it is slower at the surface of leaves and faster in the free zones. The maximum velocity is observed in the middle section of the channel, below the leaf, and between the roots with the value of u = 0.1158 m/s. Furthermore, the characteristics of turbulence in a channel are influenced by several factors such as channel geometry, flow velocity, and vegetation distribution. As a result, the presence of vegetation in a channel affects the flow and turbulence characteristics of the water significantly.
AtıfScopus3OpenAlex1İncele - MakaleAçık Erişim2024Scopus SJRQ1A general class of improved population variance estimators under non-sampling errors using calibrated weights in stratified sampling
Pandey, M.K.; Singh, G.N.; Zaman, Tolga; Mutairi, Aned Al; Mustafa, Manahil SidAhmed
This paper proposes a new calibration estimator for population variance within a stratified two-phase sampling design. It takes into account random non-response and measurement errors, specifically applying this method to estimate the variance in Gas turbine exhaust pressure data. The study integrates additional information from two highly positively correlated auxiliary variables to develop a general class of estimators tailored for the stratified two-phase sampling scheme. The properties of these estimators, in terms of their biases and mean square errors, have been thoroughly examined and extensively analyzed through numerical and simulation studies. Furthermore, the calibrated weights of the strata are derived. The proposed estimators outperform the natural estimator of population variance. Finally, suitable recommendations have been made for survey statisticians intending to apply these findings to real-life problems.
AtıfScopus23WoS16OpenAlex23İncele - MakaleAçık Erişim2024Scopus SJRQ1Thenovel numerical solutions for conformable fractional Kuramoto-Sivashinsky equations by using Cq-HATM and CHPETM
Avit, Özkan; Anac, Halil
The present study used the novel conformable fractional methods to examine the nonlinear Kuramoto-Sivashinsky equations of the conformable fractional derivative. The Kuramoto-Sivashinsky equation is a mathematical model employed to elucidate a diverse range of chemical and physical phenomena, encompassing chemical reaction-diffusion processes, plasma instabilities, viscous flow issues, flame front propagation, and magnetized plasmas. The present inquiry provides an examination of convergence and error for the future scheme. The conformable q-homotopy analysis transform method (Cq-HATM) provides h-curves that illustrate the convergence range of the series solution achieved. In order to validate the effectiveness and suitability of the Cq-HATM, we examine separate instances. In this study, we introduce an application that demonstrates the potential benefits and effectiveness of the proposed approach. Furthermore, an error analysis is performed in order to verify the accuracy of the scheme. Numerical simulations are conducted to validate the precision of the forthcoming approach. The findings obtained from the numerical and graphical analyses are presented in this study. The method provided in this study showcases a notable degree of computational precision and ease in examining and resolving intricate phenomena related to conformable fractional nonlinear partial differential equations within the domains of science and technology.
AtıfScopus5WoS4OpenAlex5İncele - MakaleAçık Erişim2024Scopus SJRQ1Fusion of transformer attention and CNN features for skin cancer detection
Reis, Hatice Catal; Turk, Veysel
Melanoma is a skin cancer that spreads quickly and has serious risks. Early diagnosis is essential, but since the symptoms of skin lesions in the early stages are vague and similar, they can be difficult for specialists to detect. Therefore, machine learning-based alternative diagnostic methods can be developed in addition to existing ones. This study proposes a new deep learning model, a modified lightweight vision transformer (ViT) architecture, and a hybrid framework developed with an integrated deep learning model and an Ensemble Learning (EL) model for the early-stage diagnosis of skin lesions. The proposed deep learning model was developed based on convolution layers and transformers. The model is called multi-head attention block depthwise separable convolution network (MABSCNET). The proposed hybrid framework was developed by combining modern deep learning and EL models pre-trained with the ImageNet dataset along with the MABSCNET model. In the experimental process, the effectiveness of the proposed methods was evaluated on the ISIC 2020 dataset. Additionally, additional experiments were conducted on ISIC 2018 and a Kaggle dataset to analyze the proposed hybrid framework's classification performance. Image enhancement techniques were used in the datasets. In the ISIC 2020 dataset, the MABSCNET model reached 78.63 % accuracy, the ViT model obtained 76.50 %, and the hybrid framework reached 92.74 % accuracy. Moreover, the proposed hybrid framework achieved 100 % on the ISIC 2018 dataset and 94.24 % on the Kaggle dataset.
AtıfScopus62WoS37OpenAlex51İncele - MakaleYayıncıda açık erişim2024Scopus SJRQ1Gyroscopic precession control for maneuvering two-wheeled robot recoil stabilization
Çetin, Gökhan; Ünker, Faruk
A two-wheeled robot has high maneuverability and can spin around with a high velocity but is prone to roll over under a recoil force. Because the wheels are only used to control the maneuver speed of the robot. However, a two-wheeled robot using a gyroscope does not need the control of the wheels and can maintain the stability of the robot under a recoil force during maneuvers even if the gimbal of the gyroscope is not controlled by a torque. In this study, the equations of motion of the gyroscopic robot are derived via Lagrangian equations, and the balancing performance of the uncontrolled gyroscope is simulated via Matlab to determine a desired configuration for mechatronics system design. Then, a linear-quadratic regulator (LQR) is implemented to the chosen control moment gyroscope (CMG) configuration and compared in simulations of RecurDyn. LQR controller was used to prevent oscillating motions of double CMGs under the recoil force of a weapon. The simulation results showed that the gyroscopic two-wheeled robot is improved using an LQR controller and powerfully balanced in static with excellent performance.
AtıfScopus3WoS2OpenAlex2İncele - MakaleAçık Erişim2024Scopus SJRQ1Characterization of cellulose produced by bacteria isolated from different vinegars
Güzel, Melih
Traditional vinegars are naturally produced from sugar- or starch-containing raw materials, through alcoholic fermentation followed by acetic fermentation. Fermentation is a spontaneous and complex process involving interactions between various microorganisms. In this study, we produced vinegar using traditional methods from six fruits: rosehip, pear, fig, wild pear, apple, and plum. Bacteria that produce bacterial cellulose (BC) were isolated from these vinegars and identified. In addition, we investigated the properties of BC produced from these bacteria. The strains isolated from vinegars were identified as Gluconobacter oxydans strain MG2022, Acetobacter tropicalis strain MG2022, Acetobacter fabarum strain MG2022, Komagataeibacter saccharivorans strain MG2022, K. saccharivorans strain EG2022, and Acetobacter lovaniensis strain OD2022. In total, 0.83–2.04 g/L BC was produced and the bacterial strain isolated from pear vinegar yielded the most BC. BC produced by the bacterial strain isolated from wild pear vinegar had the highest thermal stability and crystallinity (87.44 %). Overall, this study shows that different fruits contain different BC-producing bacteria in their natural flora and vinegars obtained from fruits can be used in BC production. Also, different BC-producing bacteria can be isolated from different vinegars, and BC produced by these bacteria might have different properties.
AtıfScopus7WoS4OpenAlex7İncele - MakaleAçık Erişim2024Scopus SJRQ2Production and Enrichment of Erucic Acid Methyl Ester Analytical Standards from Natural Oils for Food Control Analysis
Karabaş, Yağmur; Gül, Abdulkadir; Karpuz, Ömer; Akdoğan, Arda; Baltacı, Cemalettin
Foods high in erucic acid (EA), a fatty acid considered a natural toxin, can pose various health risks. Studies have reported that people exposed to high levels of EA are more likely to experience cardiovascular disease, are susceptible to myocardial adiposity, and have increased rates of diabetes. Therefore, in 2019, the European Commission (EC) declared that the maximum EA content in vegetable oils should be no more than 2%. These regulations require EA analysis in import and export food samples. A methyl ester of EA (EAME) standard is required to analyze EA content. In many countries, this analytical standard is not available and is being imported. This study endeavored to economically produce the EAME standard, which is in high demand due to mandated analysis, using natural oils. Initially, the fatty acid amounts in the food samples were analyzed by the gas chromatography–mass spectrometry/flame ionization detection (GC-MS/FID) method. The analyses revealed that mustard seed oil had the lowest EA content, while yellow mustard seed oil had the maximum EA content. The esterification was conducted on the samples containing both high and low EA, resulting in an efficiency of approximately 80%. The crystallization process was subsequently repeated to increase the EA quantity until the highest EAME content was obtained. By this process, 14 different concentrations of EAME ranging from 2.33 to 55.66% were produced. These results demonstrate the first successful production of EAME standards from natural oils that can be used in validation and internal quality control studies for food control analysis.
AtıfScopus1WoS1OpenAlex1İncele - MakaleAçık Erişim2024Scopus SJRQ1Determination of fatty acid, cholesterol, alpha-tocopherol, and aroma components of traditionally and commercially produced Trabzon butters
Gündoğdu, Engin; Beşer, Musa
This study investigated 29 butter samples from Trabzon, Turkey. Cholesterol contents ranged from 134.13 to 325 mg/100 g, α-tocopherol contents ranged from 1.62 to 3.37 mg/100 g, and β-carotene contents ranged from 4.46 to 15.60 μg/g. Fatty acid composition analysis showed variations, with palmitic acid ranging from 26.11 % to 44.25 %, oleic acid from 19.55 % to 29.80 %, and linoleic acid from 1.63 % to 3.04 %. A total of 44 aroma components were identified. Traditional butter samples exhibited differences in aroma components and fatty acid composition compared to commercial butter. Notably, traditional butter had higher concentrations of octanoic and n-decanoic acids than commercial butter. Moreover, some aroma components such as N-butanoic acid 2-ethylhexyl ester, decanoic acid, and pentadecane were found exclusively in traditional butters. Traditional butter showed higher α-tocopherol and β-carotene contents. These findings underscore the distinct chemical profiles of traditional and commercial butter samples, influenced by production methods and possibly geographical origin.
AtıfScopus1OpenAlex4İncele - MakaleAçık Erişim2024Scopus SJRQ2Determining the health-seeking behaviors of people with epilepsy
Bingöl, Nuray; İşcan Ayyildiz, Neşe; Aktepe Coşar, Dilan
Purpose: Health-seeking behaviors of individuals who have epilepsy might affect the treatment of the disease, recovery process, and self-care activities. The present study was conducted to determine the health-seeking behaviors of individuals who have epilepsy. Materials and methods: The present study was conducted in a descriptive and cross-sectional design with 190 epilepsy patients who applied to the Neurology Clinic in the north and east of Turkey between April 2023 and January 2024. The data of the study were collected by using the Introductory Data Form, Health-Seeking Behavior Scale (HSBS). The IBM SPSS 27 software, variance analysis, Tamhane T2, ANOVA Test, Tukey Test, and Multiple Regression Analysis were used to evaluate the study data. Results: The mean score of the online health-seeking behavior sub-dimension of the Health-Seeking Behavior Scale of the individuals who had epilepsy was found to be 13.32 ± 5.40, the mean score of the professional health-seeking behavior sub-dimension was 9.92 ± 2.75, and the mean score of the traditional health-seeking behavior sub-dimension was 8.46 ± 3.29. No significant differences were detected between individuals’ sex, seizure types, and health-seeking behaviors, and a significant difference was detected between marital status, educational status, place of residence, occupation, income level, seizure frequency, and medication use status and health-seeking behaviors (p < 0.05). According to the multiple linear regression analysis that was used to examine the effects of sociodemographic characteristics of individuals with epilepsy on health seeking behavior scale scores, it was found that sociodemographic characteristics such as educational status, place of residence, marital status, and age significantly affected online, professional, and traditional health seeking behavior scores. Conclusion: In conclusion, it was found in the present study that the online health-seeking behavior of the individuals who had epilepsy was higher than other health-seeking behaviors. The health-seeking behaviors of patients were affected by sociodemographic characteristics (e.g., marital status, educational status, place of residence, occupation, income level, seizure frequency, and medication use). It is of great importance to conduct larger future studies on individuals who have epilepsy and are seeking traditional treatment for epileptic seizures because the sources from which health information is obtained might affect the diagnosis, treatment, and recovery processes.
AtıfScopus4WoS5OpenAlex5İncele - MakaleYalnız künye2024Scopus SJRQ2Edge detection and depth estimation of Lake Sapanca, Eastern Marmara Region, from high-resolution magnetic data
Aktaş, Gülten
The present study aims to determine submarine structural elements by analysing high-resolution magnetic data sets and to examine the impact of geological surface structures characterizing Lake Sapanca. Lake Sapanca is located on the northern branch of the North Anatolian Fault Zone. The study area and its immediate surroundings are located within the most active tectonic structure of Turkey. A magnetic study was carried out in Sapanca Lake to reveal the structural elements that caused the formation of the lake. Diurnal corrections were applied to the magnetic data. During the analysis of the marine magnetic data set, there are variations in the mean field level of the magnetic field caused by the routing effects of ship noise on the measurements. To eliminate this noise effect, directional correction was performed. Then, de-stripping correction was also applied. It is essential to estimate the boundaries and depths of the structural features of the region. In order to elucidate the structural features of the region, different techniques such as tilt angle derivative, the total horizontal derivative of tilt angle derivative, Euler 2D deconvolution, horizontal gradient magnitude, and source edge detection were applied to magnetic data. 2-D modelling using GM-SYS in Oasis Montaj were performed. These techniques identified and mapped the edges of anomalous sources related to magnetic data corresponding to geological elements in the study area. The results allow us to image the submarine lineaments for the survey area. These structural lineaments are in E–W, NE–SW and NW–SE trends. These lineaments in our results are quite compatible with the faults in previous geophysical results. The E–W trending lineaments are related to the E–W trending faults in the region.
AtıfScopus3WoS2OpenAlex3İncele - MakaleAçık Erişim2024Scopus SJRQ2Bioethanol Production from Mulberry Molasses Waste with Ohmic-Assisted Hydrodistillation
Tunç, Merve Tuğçe; Genç, Berna; Karataş, Şeyda Merve
In this study, the fermentation process of bioethanol production conditions were optimized by response surface methodology. Mulberry molasses production waste was used as the only carbon source for yeast fermentation to produce bioethanol. Hydrodistillation (HD) and ohmic-assisted hydrodistillation (OAHD) methods were employed to concentrate the bioethanol. Fermentation time (48–168 h), waste matter rate (5–45%) and pH (5–7) were selected as independent variables. Alcohol concentration was treated as the response. Optimum fermentation conditions were determined as 96.894 h fermentation time, 45% waste ratio and pH 7. At these optimum conditions, alcohol concentration was determined as 3.77 ± 0.33%. While the distillate obtained in the HD method contained 22.50 ± 1.89% alcohol, it showed 27.72 ± 0.24% in the OAHD method. The energy consumption values for OAHD and HD was 2.92 ± 0.51 and 53.24 ± 1.74 Wh/mL bioethanol, respectively. Results of study showed that the OAHD could be a cost-effective and green method to distillation of bioethanol from mulberry molasses waste.
AtıfScopus3WoS1OpenAlex3İncele - MakaleYalnız künye2024Attitudes of Individuals with a Family History of Hypertension Towards the Prevention of Hypertension and Health Locus of Control
Demir Doğan, Melike; Akdemir, Rabia Rumeysa
This study was conducted to determine the attitudes of individuals with a family history of hypertension towards the prevention of hypertension, their health locus of control, and the factors affecting these attitudes. The data of this cross-sectional study were collected from 97 individuals through face-to-face interviews between 01 March 2023 and 01 June 2023. A Descriptive Information Form, the Attitudes Scale Towards Prevention of Hypertension, and the Multidimensional Health Locus of Control Scale-Form A were used to collect data. It was observed that the participants had a high level of attitudes towards prevention of hypertension. Their knowledge of disease and risk, habits and lifestyle attitudes, attitudes towards prevention and control, and attitudes towards mental state and physical activity were positively high. Those who lived with their families had lower attitudes towards the prevention of hypertension, attitudes towards prevention and control, and knowledge of disease and risk than those who lived alone. Smokers had lower attitudes towards habits and lifestyles than non-smokers. As age advanced, attitudes towards the prevention of hypertension, attitudes towards prevention and control, and attitudes towards habits and lifestyles rose. Attitudes towards prevention and control declined as educational levels elevated. As educational level elevated, knowledge of disease and risk declined. It was found that the locus of control of the individuals was the internal locus of control, and as the internal locus of control grew, their attitudes towards the prevention of hypertension, attitudes of prevention and control, knowledge of disease and risk, attitudes of mental state and physical activity, and attitudes of habit and lifestyle positively increased.
AtıfScopus1OpenAlex1İncele - MakaleAçık Erişim2024Scopus SJRQ3Factors Influencing the Boycott Intentions of Turkish Consumers amid the Israel-Palestine Conflict
Avci, Ibrahim
Purpose – The goal of the research is to determine the perceived efficacy of brand boycotting campaigns by Turkish consumers, as well as the effects of social pressure on boycott intention, the mediating role of social media, and the moderating role of discount sensitivity on these effects. Theoretical framework – The research idea and model were developed following previous boycott research (Shin and Yoon, 2018; Muhamad et al., 2018; Asnawi et al., 2019; Zhai and Luo, 2023). Design/methodology/approach – Data were collected from Turkish consumers using the convenience sampling method and an online survey. Using data from 417 consumers, the research hypotheses were investigated using structural equation modeling. Findings – According to the findings, perceived efficacy and social pressure have a significant effect on consumers’ boycott intentions, with social media playing a partial mediating role. Furthermore, consumers’ sensitivity to discounts offered by boycotted firms was found to have a moderating effect on the relationship between social pressure and boycott intention. Practical & social implications of research – Managers of boycotted brands should devise appropriate marketing strategies to minimize damage. Given the importance of social media in boycotts, it is imperative that brands actively use social media as a communication channel. Originality/value – The fact that the paper examines the idea of boycotting in the context of both social media and consumer discount sensitivity demonstrates the importance of the research and its contribution to filling a gap in the literature.
AtıfScopus11WoS9OpenAlex15İncele - MakaleAçık Erişim2024Scopus SJRQ1Monitoring Surface Deformations in a Fossil Landslide Zone and Identifying Potential Failure Mechanisms: A Case Study of Gümüşhane State Hospital
Alemdag, Selçuk; Yalvaç, Sefa; Bjelotomić Oršulić, Olga; Kara, Osman; Zeybek, Halil İbrahim; Bostanci, Hasan Tahsin; Markovinović, Danko
The escalating occurrence of landslides has drawn increasing attention from the scientific community, primarily driven by a combination of natural phenomena such as unpredictable seismic events, intensified precipitation, and rapid snowmelt attributable to climate fluctuations, compounded by inadequacies in engineering practices during site selection. Within the scope of this investigation, contemporary geodetic techniques using the GNSS were employed to monitor structural and surface deformations in and around a hospital edifice situated within an ancient fossil landslide region. Additionally, inclinometer measurements facilitated the determination of slip circle parameters. A subsequent analysis integrated these datasets to scrutinize both the hospital structure and its surrounding slopes. In addition to the finite element method, four different limit equilibrium methods (Bishop, GLE–Morgenstern–Price, Spencer, and Janbu) were used in the evaluation of stability. Since the safety number determined in all analyses was <1, it was determined that the slope containing the hospital building was unstable. The movement has occurred again due to the additional load created by the hospital building built on the currently stable slope, the effect of surface and groundwater, and the improperly designed road route. As a result of geodetic monitoring, it was determined that the sliding speed on the surface was in the N-E direction and was approximately 3 cm, and this situation almost coincided with inclinometer measurements.
AtıfScopus6WoS6OpenAlex5İncele - MakaleAçık Erişim2024Scopus SJRQ1Aggregation operators of complex fuzzy Z-number sets and their applications in multi-criteria decision making
Köseoğlu, Ali; Altun, Fatma; Şahin, Rıdvan
Fuzzy sets (FSs) are a flexible and powerful tool for reasoning about uncertain situations that cannot be adequately expressed by classical sets. However, these sets fall short in two areas. The first is the reliability of this tool. Z-numbers are an extension of fuzzy numbers that improve the representation of uncertainty by combining two important components: restriction and reliability. The second is the problems that need to be solved simultaneously. Complex fuzzy sets (CFSs) overcome this problem by adding a second dimension to fuzzy numbers and simultaneously adding connected elements to the solution. However, they are insufficient when it comes to problems involving these two areas. We cannot express real-life problems that need to be solved at the same time and require the reliability of the information given with any set approach given in the literature. Therefore, in this study, we propose the complex fuzzy Z-number set (CFZNS), a generalization of Z-numbers and CFS, which fills this gap. We provide the operational laws of CFZNS along with some properties. Additionally, we define two essential aggregation operators called complex fuzzy Z-number weighted averaging (CFZNWA) and complex fuzzy Z-number weighted geometric (CFZNWG) operators. Then, we present an illustrative example to demonstrate the proficiency and superiority of the proposed approach. Thus, we process multiple fuzzy expressions simultaneously and take into account the reliability of these fuzzy expressions in applications. Furthermore, we compare the results with the existing set operations to confirm the advantages and demonstrate the efficiency of the proposed approach. Considering the simultaneous expression of fuzzy statements, this study can serve as a foundation for new aggregation operators and decision-making problems and can be extended to many new applications such as pattern recognition and clustering.
AtıfScopus14WoS11OpenAlex15İncele